diff --git a/THIRD_PARTY.txt b/THIRD_PARTY.txt
index 247eddcb..5ee76ed9 100644
--- a/THIRD_PARTY.txt
+++ b/THIRD_PARTY.txt
@@ -1729,7 +1729,7 @@ https://cdnjs.cloudflare.com/ajax/libs/Swiper/4.5.1/css/swiper.min.css
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/4.5.1/js/swiper.min.js
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/5.4.5/css/swiper.min.css
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/5.4.5/js/swiper.min.js
-https://cdnjs.cloudflare.com/ajax/libs/tensorflow/4.13.0/tf.min.js
+https://cdnjs.cloudflare.com/ajax/libs/tensorflow/4.14.0/tf.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tether/1.4.7/js/tether.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tinymce/5.10.5/icons/default/icons.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tinymce/5.10.5/jquery.tinymce.min.js
diff --git a/modules/internal/targets.js b/modules/internal/targets.js
index 364713ed..fcbf464e 100644
--- a/modules/internal/targets.js
+++ b/modules/internal/targets.js
@@ -446,7 +446,7 @@ targets.setLastVersion = function (type, version) {
     if (type.startsWith('/Swiper/10.') || type.startsWith('/Swiper/11.') || type.startsWith('/Swiper/')) return '11.0.5';
     if (type.startsWith('/tensorflow/')) {
         // NOTE: Parameters swapped. (= anything greater than v2.0.0)
-        if (helpers.compareVersion(version, '2.0.0')) return '4.13.0'; // >= v2.0.0
+        if (helpers.compareVersion(version, '2.0.0')) return '4.14.0'; // >= v2.0.0
     }
     if (type.startsWith('/tether/1.')) return '1.4.7';
     if (type.startsWith('/tinymce/5.')) return '5.10.5';
diff --git a/pages/updates/updates.html b/pages/updates/updates.html
index be446d31..31381428 100644
--- a/pages/updates/updates.html
+++ b/pages/updates/updates.html
@@ -37,6 +37,7 @@
                             <li>alpinejs v3.13.2 -> v3.13.3 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1598">#1598</a>)</li>
                             <li>swagger-ui v5.10.0 -> v5.10.3 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1599">#1599</a>)</li>
                             <li>p5.js v1.8.0 -> v1.9.0 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1600">#1600</a>)</li>
+                            <li>tensorflow v4.13.0 -> v4.14.0 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1601">#1601</a>)</li>
                         </ul>
                     </div>
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diff --git a/resources/tensorflow/4.13.0/tf.min.jsm b/resources/tensorflow/4.14.0/tf.min.jsm
similarity index 99%
rename from resources/tensorflow/4.13.0/tf.min.jsm
rename to resources/tensorflow/4.14.0/tf.min.jsm
index 55ac3ec0..00adab93 100644
--- a/resources/tensorflow/4.13.0/tf.min.jsm
+++ b/resources/tensorflow/4.14.0/tf.min.jsm
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
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this.throwIfDisposed(),t5.clone(this)}},{key:"toString",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0],t=this.dataSync();return X4(t,this.shape,this.dtype,e)}},{key:"cast",value:function(e){return this.throwIfDisposed(),t5.cast(this,e)}},{key:"variable",value:function(){var e=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],t=arguments.length>1?arguments[1]:void 0,n=arguments.length>2?arguments[2]:void 0;return this.throwIfDisposed(),e5().makeVariable(this,e,t,n)}}]),e}();function r5(){return I0("Tensor",(function(){return n5}))}Object.defineProperty(n5,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),r5();var a5,i5,o5,s5,u5,c5=function(e){d(n,e);var t=w(n);function n(e,r,a,i){var o;return l(this,n),(o=t.call(this,e.shape,e.dtype,e.dataId,i)).trainable=r,o.name=a,o}return p(n,[{key:"assign",value:function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value 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0,(a5=e.Rank||(e.Rank={})).R0="R0",a5.R1="R1",a5.R2="R2",a5.R3="R3",a5.R4="R4",a5.R5="R5",a5.R6="R6",function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(i5||(i5={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(o5||(o5={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(s5||(s5={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(u5||(u5={}));var l5={float32:s5,int32:i5,bool:o5,complex64:u5};function h5(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast ".concat(e," with ").concat(t))}return l5[e][t]}function p5(e){return h5(e,"int32")}function f5(e){return null!=e&&"object"===s(e)&&"texture"in e&&e.texture instanceof WebGLTexture}function d5(e){return"undefined"!=typeof GPUBuffer&&null!=e&&"object"===s(e)&&"buffer"in e&&e.buffer instanceof GPUBuffer}function v5(e,t){if(e.dtype===t.dtype)return[e,t];var n=h5(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function m5(e,t){F$(e.dtype===t.dtype,(function(){return"The dtypes of the first(".concat(e.dtype,") and")+" second(".concat(t.dtype,") input must match")}))}function g5(e,t){return t.some((function(t){return t.id===e.id}))}function y5(e){var t=[];return b5(e,t,new Set),t}function b5(e,t,n){if(null!=e)if(e instanceof n5)t.push(e);else if(r=e,Array.isArray(r)||"object"===s(r)){var r,a=e;for(var i in a){var o=a[i];n.has(o)||(n.add(o),b5(o,t,n))}}}var x5={__proto__:null,assertTypesMatch:m5,getTensorsInContainer:y5,isTensorInList:g5,makeTypesMatch:v5};function k5(e){return null!=e.kernelName}var w5=function(){function e(){l(this,e),this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map((function(e){return e.name}))))}}}return p(e,[{key:"dispose",value:function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()}}]),e}(),I5=function(){function e(t){l(this,e),this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new w5}var t,n,r,a;return p(e,[{key:"ready",value:(a=c(o().mark((function e(){var t,n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '".concat(this.backendName,"' has not yet been initialized. Make ")+"sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '".concat(t,"' has not yet been ")+"initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{key:"backendNames",value:function(){return Object.keys(this.registryFactory)}},{key:"findBackend",value:function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]}},{key:"findBackendFactory",value:function(e){return e in this.registryFactory?this.registryFactory[e].factory:null}},{key:"registerBackend",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return e in this.registryFactory?(z3("".concat(e," backend was already registered. ")+"Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}},{key:"setBackend",value:(r=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.registryFactory[t]){e.next=2;break}throw new Error("Backend name '".concat(t,"' not found in registry"));case 2:if(this.backendName=t,null!=this.registry[t]){e.next=16;break}if(this.backendInstance=null,n=this.initializeBackend(t),r=n.success,!n.asyncInit){e.next=12;break}return e.next=9,r;case 9:e.t0=e.sent,e.next=13;break;case 12:e.t0=r;case 13:if(e.t0){e.next=16;break}return e.abrupt("return",!1);case 16:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new j4(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"setupRegisteredKernels",value:function(){var e=this;U3(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;U3(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof T$||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,z3("Initialization of backend ".concat(e," failed")),z3(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return z3("Initialization of backend ".concat(e," failed")),z3(t.stack||t.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=E5.runKernel(W1,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return E5.runKernel(X0,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=W3(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=k5(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(k5(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var f=W3(l,this.backendName);F$(null!=f,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return d(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=k5(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n}},{key:"getTensorsForGradient",value:function(e,t,n){var r=V3(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(F$(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{key:"makeTensor",value:function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&$$(e[0])&&(a=e.map((function(e){return B4(e)})));var i=r.write(a,t,n),o=new n5(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=Q$(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new n5(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new c5(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*Z$(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof c5||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*Z$(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:(n=c(o().mark((function e(t){var n,r,a,i,s;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,T(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return s=i.value,e.next=18,s.kernelTimeMs;case 18:return s.kernelTimeMs=e.sent,e.next=21,s.extraInfo;case 21:s.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),a.e(e.t0);case 29:return e.prev=29,a.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])}))),function(e){return n.apply(this,arguments)})},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=V3(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=l0(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=y5(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(F$(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));F$(i instanceof n5,(function(){return"The result y returned by f() must be a tensor."}));var o=q4(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e={};e[i.id]=null==n?N5(i.shape):n,K4(e,o,(function(e){return r.tidy(e)}),C5);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=O(e.saved);try{for(n.s();!(t=n.n()).done;){t.value.dispose()}}catch(e){n.e(e)}finally{n.f()}})),r.state.activeTape=null),{value:i,grads:a}}))}},{key:"customGrad",value:function(e){var t=this;return F$(r0(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;F$(r.every((function(e){return e instanceof n5})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return F$((i=e.apply(void 0,[].concat(r,[n]))).value instanceof n5,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),F$(r0(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];F$(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),F$(a.every((function(e){return e instanceof n5})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}}},{key:"readSync",value:function(e){return this.state.tensorInfo.get(e).backend.readSync(e)}},{key:"read",value:function(e){return 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t={x:L5(e,"x","cosh","float32")};return E5.runKernel(s1,t)}});var x7=B5({cumprod_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","cumprod"),i={x:a},o={axis:t,exclusive:n,reverse:r};return E5.runKernel(u1,i,o)}});var k7=B5({cumsum_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","cumsum"),i={x:a},o={axis:t,exclusive:n,reverse:r};return E5.runKernel(c1,i,o)}});var w7=B5({denseBincount_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","denseBincount"),i=L5(t,"weights","denseBincount");F$("int32"===a.dtype,(function(){return"Error in denseBincount: input "+"dtype must be int32, but got ".concat(a.dtype)})),F$(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got "+"rank ".concat(a.rank,".")})),F$(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),F$(i.size===a.size||0===i.size,(function(){return"Error in denseBincount: weights must have the same shape as x or "+"0-length, but got x shape: ".concat(a.shape,", weights shape: ")+"".concat(i.shape,".")}));var o={x:a,weights:i},s={size:n,binaryOutput:r};return E5.runKernel(h1,o,s)}});var I7=B5({depthToSpace_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"NHWC",r=L5(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];F$(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: ".concat(t)})),F$(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    ".concat(a," and ").concat(t,"  for depthToSpace with input shape\n    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E5.runKernel(F2,{},a)}var ete=B5({real_:function(e){var t={input:L5(e,"input","real")};return E5.runKernel(D2,t)}});var tte=B5({reciprocal_:function(e){var t={x:L5(e,"x","reciprocal")};return E5.runKernel(M2,t)}});var nte=B5({relu_:function(e){var t={x:L5(e,"x","relu")};return E5.runKernel(L2,t)}});var rte=B5({relu6_:function(e){var t={x:L5(e,"x","relu6")};return E5.runKernel(U2,t)}});var ate=B5({reverse_:function(e,t){var n={x:L5(e,"x","reverse")},r={dims:t};return E5.runKernel(G2,n,r)}});var ite=B5({reverse1d_:function(e){var t=L5(e,"x","reverse");return F$(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),ate(t,0)}});var ote=B5({reverse2d_:function(e,t){var n=L5(e,"x","reverse");return F$(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank ".concat(n.rank,".")})),ate(n,t)}});var ste=B5({reverse3d_:function(e,t){var n=L5(e,"x","reverse");return F$(3===n.rank,(function(){return"Error in reverse3D: x must 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supported");F$(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),F$(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter "+" must be 1, but got ".concat(c.shape[0],".")})),F$(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise "+"filter must be 1, but got ".concat(c.shape[1],".")}));var p=u.shape[2],f=u.shape[3];F$(c.shape[2]===p*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter "+"must be ".concat(p*f,", ")+"but got ".concat(c.shape[2],".")}));var d=N7(l,u,r,a,o,i),v=1,m=h7(d,c,v,"valid",o);return h?W8(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function fte(){return fte=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=L5(t,"x","setdiff1d"),a=L5(n,"y","setdiff1d"),F$(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x (".concat(r.dtype,") and y (").concat(a.dtype,").")})),F$(1===r.rank,(function(){return"x should be 1D tensor, but got x (".concat(r.shape,").")})),F$(1===a.rank,(function(){return"y should be 1D tensor, but got y (".concat(a.shape,").")})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(s=e.sent,u=new Set(s),c=0,l=0;l<i.length;l++)u.has(i[l])||c++;for(h=new $4([c],r.dtype),p=new $4([c],"int32"),f=0,d=0;f<i.length;f++)u.has(i[f])||(h.values[d]=i[f],p.values[d]=f,d++);return e.abrupt("return",[h.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),fte.apply(this,arguments)}var dte=function(e,t){return fte.apply(this,arguments)};var vte=B5({sign_:function(e){var t={x:L5(e,"x","sign")};return E5.runKernel(e3,t)}});var mte=B5({sin_:function(e){var t={x:L5(e,"x","sin","float32")};return E5.runKernel(Q2,t)}});var gte=B5({sinh_:function(e){var t={x:L5(e,"x","sinh")};return E5.runKernel($2,t)}});var yte=B5({slice1d_:function(e,t,n){var r=L5(e,"x","slice1d");return F$(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,[t],[n])}});var bte=B5({slice2d_:function(e,t,n){var r=L5(e,"x","slice2d");return F$(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var xte=B5({slice3d_:function(e,t,n){var r=L5(e,"x","slice3d");return F$(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var kte=B5({slice4d_:function(e,t,n){var r=L5(e,"x","slice4d");return F$(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var wte=B5({softmax_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1,n=L5(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. "+"Logits was rank ".concat(n.rank," and dim was ").concat(t));var r={logits:n},a={dim:t};return E5.runKernel(s3,r,a)}});var Ite=B5({fft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(R1,t)}});var Nte=B5({ifft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(V1,t)}});var Ste=B5({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=W8(e,[r,n]);t=Nte(a)}else{var i=[r,2*(n-1)],o=W8(ete(e),[r,n]),s=W8(f9(e),[r,n]),u=ate(q8(o,[0,1],[r,n-2]),1),c=c8(ate(q8(s,[0,1],[r,n-2]),1),Z7(-1)),l=G8([o,u],1),h=G8([s,c],1),p=W8(W5(l,h),[i[0],i[1]]);t=Nte(p)}if(t=ete(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=W8(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var Tte=B5({split_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=L5(e,"x","split"),a={x:r},i={numOrSizeSplits:t,axis:n};return E5.runKernel(o3,a,i)}});var Ete=B5({rfft_:function(e,t){F$("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got ".concat(e.dtype)}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=q8(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=G8([e,H9(s)],e.shape.length-1),r=t}else n=e;var u=F7(n),c=W8(W5(n,u),[a,r]),l=Ite(c),h=Math.floor(r/2)+1,p=ete(l),f=f9(l),d=Tte(p,[h,r-h],p.shape.length-1),v=Tte(f,[h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,W8(W5(d[0],v[0]),m)}});var Cte=B5({squaredDifference_:function(e,t){var n=L5(e,"a","squaredDifference"),r=L5(t,"b","squaredDifference"),a=S(v5(n,r),2);n=a[0],r=a[1],A7(n.shape,r.shape);var i={a:n,b:r};return E5.runKernel(f3,i,{})}});var Ate=B5({squeeze_:function(e,t){var n=L5(e,"x","squeeze","string_or_numeric");return W8(n,H$(n.shape,t).newShape)}});var Rte=B5({stack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=z5(e,"tensors","stack","string_or_numeric");F$(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&F$(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return E5.runKernel(S2,r,a)}});var _te=B5({step_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","step"),r={x:n},a={alpha:t};return E5.runKernel(_3,r,a)}});var Ote=B5({stridedSlice_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:0,u=arguments.length>8&&void 0!==arguments[8]?arguments[8]:0,c=L5(e,"x","stridedSlice","string_or_numeric"),l={x:c},h={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return E5.runKernel(m3,l,h)}});var Fte=B5({tan_:function(e){var t={x:L5(e,"x","tan","float32")};return E5.runKernel(k3,t)}});function Dte(e,t){M$(e);var n=F5(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return V5(e,null,n,t)}function Mte(e,t,n){if(M$(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=F5(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return V5(e,t,r,n)}function Lte(e,t,n){if(M$(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=F5(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function zte(e,t,n){if(M$(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=F5(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Pte(e,t,n){if(M$(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=F5(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Bte(e,t,n){if(M$(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=F5(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return V5(e,t=t||r,r,n)}function Wte(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(i+" update.rank < ".concat(a,". "));if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != ".concat(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape[".concat(o,"] (").concat(n.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}function Vte(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}Wte(n,t,e)}function Ute(e,t,n){for(var r=t.shape.length,a=r>1?t.shape[r-1]:1,i=n.length,o=1,s=a;s<i;++s)o*=n[s];var u=a<1?1:a;return{sliceRank:a,numUpdates:L$(t.shape)/u,sliceSize:o,strides:[].concat(T(i0(n.slice(0,a))),[1]),outputSize:L$(n)}}var Gte={__proto__:null,calculateShapes:Ute,validateInput:Vte,validateUpdateShape:Wte};var jte=B5({tensorScatterUpdate_:function(e,t,n){var r=L5(e,"tensor","tensorScatterupdate"),a=L5(t,"indices","tensorScatterupdate","int32"),i=L5(n,"updates","tensorScatterupdate");if(Vte(i,a,r.shape),r.dtype!==i.dtype)throw new Error("tensor and updates must have the same dtype, instead they are ".concat(r.dtype," and ").concat(i.dtype,"."));var o={tensor:r,indices:a,updates:i};return E5.runKernel(K2,o,{})}});var Hte=B5({topk_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var i={x:r},o={k:t,sorted:n},s=E5.runKernel(N3,i,o),u=S(s,2),c=u[0],l=u[1];return{values:c,indices:l}}});var qte=B5({truncatedNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(p0(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new Hee(t,n,r,!0,a),o=K6(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var Kte=B5({unique_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unique","string_or_numeric");F$(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=E5.runKernel(E3,r,a),o=S(i,2),s=o[0],u=o[1];return{values:s,indices:u}}});var Xte=B5({unsortedSegmentSum_:function(e,t,n){var r=L5(e,"x","unsortedSegmentSum"),a=L5(t,"segmentIds","unsortedSegmentSum","int32");F$(B$(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return E5.runKernel(A3,i,o)}});var Yte=B5({unstack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unstack","string_or_numeric");F$(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = ".concat(t," is not in [-").concat(n.shape.length,", ").concat(n.shape.length,")")}));var r={value:n},a={axis:t};return E5.runKernel(C3,r,a)}});function Jte(e,t){return P9(e,t,"right")}function Zte(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;return E5.makeVariable(e,t,n,r)}function Qte(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=K6(e,"int32"),i=K6([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function $te(){return($te=c(o().mark((function e(t){var n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=L5(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=Qte(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var ene=function(e){return $te.apply(this,arguments)};function tne(){return tne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=L5(t,"tensor","boolMask"),i=L5(n,"mask","boolMask","bool"),s=null==r?0:r,u=i.rank,c=a.shape,F$(u>0,(function(){return"mask cannot be scalar"})),D$(c.slice(s,s+u),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,h=s;h<s+u;h++)l*=c[h];return p=c.slice(0,s).concat([l],c.slice(s+u)),f=W8(a,p),d=W8(i,[-1]),e.next=14,ene(d);case 14:return v=e.sent,m=Ate(v,[1]),g=l9(f,m,s),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),f.dispose(),d.dispose(),v.dispose(),e.abrupt("return",g);case 24:case"end":return e.stop()}}),e)}))),tne.apply(this,arguments)}var nne=function(e,t,n){return tne.apply(this,arguments)};var rne=B5({transpose_:function(e,t,n){var r=L5(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),F$(r.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(r.rank," ")+"must match length of perm 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r=L5(e,"indices","scatterND","int32"),a=L5(t,"updates","scatterND");Vte(a,r,n);var i={indices:r,updates:a},o={shape:n};return E5.runKernel(q2,i,o)}});function one(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+" but the dtype was ".concat(e.dtype,"."));if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+" but got shape ".concat(e.shape,"."));var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:,"+" ".concat(n.length,", should be: ").concat(i,"."));var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}var sne=B5({sparseToDense_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0;p0(n);var a=L5(e,"sparseIndices","sparseToDense","int32"),i=L5(t,"sparseValues","sparseToDense","string_or_numeric"),o=L5(r,"defaultValue","sparseToDense",i.dtype);one(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return E5.runKernel(p3,s,u)}});var une=B5({gatherND_:function(e,t){var n=L5(t,"indices","gatherND","int32"),r={params:L5(e,"x","gatherND","string_or_numeric"),indices:n};return E5.runKernel(z1,r)}});var cne=B5({dropout_:function(e,t,n,r){var a=L5(e,"x","dropout");if(F$("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),F$(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof n5?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(P$(e.shape,t))return t;if(e.shape.length===t.length){for(var 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grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,s9(t,a)}});var One=B5({rgbToGrayscale_:function(e){var t=L5(e,"image","RGBToGrayscale"),n=t.rank-1,r=t.shape[n];F$(t.rank>=2,(function(){return"Error in RGBToGrayscale: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),F$(3===r,(function(){return"Error in RGBToGrayscale: last dimension of an RGB image "+"should be size 3, but got size ".concat(r,".")}));var a,i=t.dtype,o=X6(t,"float32"),s=Dte([.2989,.587,.114]);switch(t.rank){case 2:a=L7("ij,j->i",o,s);break;case 3:a=L7("ijk,k->ij",o,s);break;case 4:a=L7("ijkl,l->ijk",o,s);break;case 5:a=L7("ijklm,m->ijkl",o,s);break;case 6:a=L7("ijklmn,n->ijklm",o,s);break;default:throw new Error("Not a valid tensor rank.")}return a=i9(a,-1),X6(a,i)}});var Fne=B5({rotateWithOffset_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=L5(e,"image","rotateWithOffset","float32");F$(4===a.rank,(function(){return"Error in rotateWithOffset: image must be rank 4,"+"but got rank ".concat(a.rank,".")}));var i={image:a},o={radians:t,fillValue:n,center:r},s=E5.runKernel(F3,i,o);return s}});function Dne(e,t,n,r,a,i){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==i&&(i=0);var o=e.shape[0];return n=Math.min(n,o),F$(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '".concat(r,"'")})),F$(2===e.rank,(function(){return"boxes must be a 2D tensor, but was of rank '".concat(e.rank,"'")})),F$(4===e.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was ".concat(e.shape[1])})),F$(1===t.rank,(function(){return"scores must be a 1D tensor"})),F$(t.shape[0]===o,(function(){return"scores has incompatible shape with boxes. 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Bne(e,t,n,r,a,i){return Vne(e,t,n,r,a,0,!1,i,!0)}function Wne(e,t,n,r,a,i){return Vne(e,t,n,r,a,i,!0)}function Vne(e,t,n,r,a,i){for(var o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7],u=arguments.length>8&&void 0!==arguments[8]&&arguments[8],c=[],l=0;l<t.length;l++)t[l]>a&&c.push({score:t[l],boxIndex:l,suppressBeginIndex:0});c.sort(jne);for(var h=i>0?-.5/i:0,p=[],f=[];p.length<n&&c.length>0;){var d=c.pop(),v=d.score,m=d.boxIndex,g=d.suppressBeginIndex;if(v<a)break;for(var y=!1,b=p.length-1;b>=g;--b){var x=Une(e,m,p[b]);if(x>=r){y=!0;break}if(d.score=d.score*Gne(r,h,x),d.score<=a)break}d.suppressBeginIndex=p.length,y||(d.score===v?(p.push(m),f.push(d.score)):d.score>a&&Lne(c,d,jne))}var k=p.length,w=n-k;s&&w>0&&(p.push.apply(p,T(new Array(w).fill(0))),f.push.apply(f,T(new Array(w).fill(0))));var I={selectedIndices:p};return o&&(I.selectedScores=f),u&&(I.validOutputs=k),I}function Une(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),c=Math.min(a[0],a[2]),l=Math.min(a[1],a[3]),h=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(h-c)*(p-l);if(f<=0||d<=0)return 0;var v=Math.max(i,c),m=Math.max(o,l),g=Math.min(s,h),y=Math.min(u,p),b=Math.max(g-v,0)*Math.max(y-m,0);return b/(f+d-b)}function Gne(e,t,n){var r=Math.exp(t*n*n);return n<=e?r:0}function jne(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}function Hne(){return Hne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=v.length>3&&void 0!==v[3]?v[3]:.5,i=v.length>4&&void 0!==v[4]?v[4]:Number.NEGATIVE_INFINITY,s=L5(t,"boxes","nonMaxSuppressionAsync"),u=L5(n,"scores","nonMaxSuppressionAsync"),c=Dne(s,u,r,a,i),r=c.maxOutputSize,a=c.iouThreshold,i=c.scoreThreshold,e.next=10,Promise.all([s.data(),u.data()]);case 10:return l=e.sent,h=l[0],p=l[1],f=Pne(h,p,r,a,i),d=f.selectedIndices,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",Dte(d,"int32"));case 17:case"end":return e.stop()}}),e)}))),Hne.apply(this,arguments)}var qne=function(e,t,n){return Hne.apply(this,arguments)};var Kne=B5({nonMaxSuppressionWithScore_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:Number.NEGATIVE_INFINITY,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=L5(e,"boxes","nonMaxSuppression"),s=L5(t,"scores","nonMaxSuppression"),u=Dne(o,s,n,r,a,i),c={boxes:o,scores:s},l={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},h=E5.runKernel(w2,c,l);return{selectedIndices:h[0],selectedScores:h[1]}}});function Xne(){return Xne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=g.length>3&&void 0!==g[3]?g[3]:.5,i=g.length>4&&void 0!==g[4]?g[4]:Number.NEGATIVE_INFINITY,s=g.length>5&&void 0!==g[5]?g[5]:0,u=L5(t,"boxes","nonMaxSuppressionAsync"),c=L5(n,"scores","nonMaxSuppressionAsync"),l=Dne(u,c,r,a,i,s),r=l.maxOutputSize,a=l.iouThreshold,i=l.scoreThreshold,s=l.softNmsSigma,e.next=12,Promise.all([u.data(),c.data()]);case 12:return h=e.sent,p=h[0],f=h[1],d=Wne(p,f,r,a,i,s),v=d.selectedIndices,m=d.selectedScores,u!==t&&u.dispose(),c!==n&&c.dispose(),e.abrupt("return",{selectedIndices:Dte(v,"int32"),selectedScores:Dte(m)});case 19:case"end":return e.stop()}}),e)}))),Xne.apply(this,arguments)}var Yne=function(e,t,n){return Xne.apply(this,arguments)};var Jne=B5({nonMaxSuppressionPadded_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:Number.NEGATIVE_INFINITY,i=arguments.length>5&&void 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d=e.sent,v=S(d,2),m=v[0],g=v[1],y=Bne(m,g,h,p,f,s),b=y.selectedIndices,x=y.validOutputs,u!==t&&u.dispose(),c!==n&&c.dispose(),e.abrupt("return",{selectedIndices:Dte(b,"int32"),validOutputs:Z7(x,"int32")});case 19:case"end":return e.stop()}}),e)}))),Zne.apply(this,arguments)}var Qne=function(e,t,n){return Zne.apply(this,arguments)};var $ne=B5({resizeBilinear_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"images","resizeBilinear");F$(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),F$(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+"".concat(t,".")})),F$(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=W8(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(t,0);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=E5.runKernel(W2,s,u);return o?W8(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var ere=B5({resizeNearestNeighbor_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"images","resizeNearestNeighbor");F$(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),F$(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+"".concat(t,".")})),F$("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),F$(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=W8(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(t,0);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=E5.runKernel(P2,s,u);return o?W8(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});function tre(e,t){for(var n,r,a,i,o,s,u=Dte([-1]),c=Dte([0]),l=Dte([0]),h=0;h<e.size-1;h++){n=q8(e,0,h+1),r=q8(e,h+1),o=u8(e9(n),t),s=u8(e9(r),t);var p=e9(c8(n,$ee(0,n.size)));a=u8(p,e9(n));var f=i7(r.shape,n.size),d=o8($ee(0,r.size),f),v=c8(r,d);i=u8(e9(v),e9(r));var m=R9(a,i),g=R9(a,i),y=c8(o,s);l=c8(c8(y,m),g);var b=h9(l,c);c=O7(b,l,c),u=O7(b,Dte([h]),u)}return u}var nre=B5({threshold_:function(e){var t,n,r,a,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"binary",o=arguments.length>2&&void 0!==arguments[2]&&arguments[2],s=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,u=L5(e,"image","threshold"),c=.2989,l=.587,h=.114,p=u.shape[0]*u.shape[1],f=c8(Dte([s]),255);if(F$(3===u.rank,(function(){return"Error in threshold: image must be rank 3,"+"but got rank 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0,o=L5(e,"image","transform","float32"),s=L5(t,"transforms","transform","float32");F$(4===o.rank,(function(){return"Error in transform: image must be rank 4,"+"but got rank ".concat(o.rank,".")})),F$(2===s.rank&&(s.shape[0]===o.shape[0]||1===s.shape[0])&&8===s.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),F$(null==i||2===i.length,(function(){return"Error in transform: outputShape must be [height, width] or null, "+"but got ".concat(i,".")}));var u={image:o,transforms:s},c={interpolation:n,fillMode:r,fillValue:a,outputShape:i};return E5.runKernel(S3,u,c)}});var are=B5({bandPart_:function(e,t,n){var r=L5(e,"a","bandPart");F$(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got ".concat(r.rank,".")}));var a,i,o=r.shape,s=S(r.shape.slice(-2),2),u=s[0],c=s[1];"number"==typeof t?(F$(t%1==0,(function(){return"bandPart(): numLower must be an integer, got ".concat(t,".")})),F$(t<=u,(function(){return"bandPart(): numLower 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n=e.shape[0],r=e.shape[1],a=u9(n),i=Y6(e),o=Mte([[1]],[1,1]),s=Y6(o),u=n>=r?r:n,c=function(e){var t=i,u=s,c=a,l=S(E5.tidy((function(){var t=q8(i,[e,e],[n-e,1]),u=n9(t),c=q8(i,[e,e],[1,1]),l=O7(h9(c,0),Mte([[-1]]),Mte([[1]])),h=R9(c,c8(l,u)),p=u8(t,h);s=1===p.shape[0]?Y6(o):G8([o,q8(p,[1,0],[p.shape[0]-1,p.shape[1]])],0);var f=E9(u8(j8(l,h),u)),d=q8(i,[e,0],[n-e,r]),v=c8(f,s),m=rne(s);if(0===e)i=R9(d,j8(v,j8(m,d)));else{var g=R9(d,j8(v,j8(m,d)));i=G8([q8(i,[0,0],[e,r]),g],0)}var y=rne(v),b=q8(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=R9(b,j8(j8(b,s),y));else{var x=R9(b,j8(j8(b,s),y));a=G8([q8(a,[0,0],[n,e]),x],1)}return[s,i,a]})),3);s=l[0],i=l[1],a=l[2],t8([t,u,c])},l=0;l<u;++l)c(l);return!t&&n>r&&(a=q8(a,[0,0],[n,r]),i=q8(i,[0,0],[r,r])),[a,i]}))}var sre,ure=B5({qr_:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(F$(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank ".concat(e.rank)})),2===e.rank)return ore(e,t);var 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u8(e9(o),Z7(a.size));var c=c8(i,q9(a.shape)),l=X6(e9(eee(c,Z7(0))),"float32");return u8(e9(o),l)}throw Error("Unknown reduction: ".concat(r))}});var lre=B5({absoluteDifference_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","absoluteDifference"),o=L5(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=L5(r,"weights","absoluteDifference")),D$(i.shape,o.shape,"Error in absoluteDifference: ");var u=l8(R9(i,o));return cre(u,s,a)}});var hre=B5({cosineDistance_:function(t,n,r,a){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","cosineDistance"),s=L5(n,"predictions","cosineDistance"),u=null;null!=a&&(u=L5(a,"weights","cosineDistance")),D$(o.shape,s.shape,"Error in cosineDistance: ");var c=Z7(1),l=R9(c,e9(c8(o,s),r,!0));return cre(l,u,i)}});var pre=B5({hingeLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","hingeLoss"),o=L5(n,"predictions","hingeLoss"),s=null;null!=r&&(s=L5(r,"weights","hingeLoss")),D$(i.shape,o.shape,"Error in hingeLoss: ");var u=Z7(1);i=R9(c8(Z7(2),i),u);var c=nte(R9(u,c8(i,o)));return cre(c,s,a)}});var fre=B5({huberLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","huberLoss"),s=L5(n,"predictions","huberLoss"),u=null;null!=r&&(u=L5(r,"weights","huberLoss")),D$(o.shape,s.shape,"Error in huberLoss: ");var c=Z7(a),l=l8(R9(s,o)),h=X9(l,c),p=R9(l,h),f=o8(c8(Z7(.5),$7(h)),c8(c,p));return cre(f,u,i)}});var dre=B5({logLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1e-7,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","logLoss"),s=L5(n,"predictions","logLoss"),u=null;null!=r&&(u=L5(r,"weights","logLoss")),D$(o.shape,s.shape,"Error in logLoss: ");var c=Z7(1),l=Z7(a),h=E9(c8(o,w9(o8(s,l)))),p=c8(R9(c,o),w9(o8(R9(c,s),l))),f=R9(h,p);return cre(f,u,i)}});var vre=B5({meanSquaredError_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","meanSquaredError"),o=L5(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=L5(r,"weights","meanSquaredError")),D$(i.shape,o.shape,"Error in meanSquaredError: ");var u=Cte(i,o);return cre(u,s,a)}});function mre(e,t){var n=L5(e,"labels","sigmoidCrossEntropyWithLogits"),r=L5(t,"logits","sigmoidCrossEntropyWithLogits");D$(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=nte(r),i=c8(r,n),o=I9(a9(E9(l8(r))));return o8(R9(a,i),o)}var gre=B5({sigmoidCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"multiClassLabels","sigmoidCrossEntropy"),s=L5(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","sigmoidCrossEntropy")),D$(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var c=Z7(a),l=Z7(1),h=Z7(.5);o=o8(c8(o,R9(l,c)),c8(h,c))}var p=mre(o,s);return cre(p,u,i)}});function yre(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. Labels / logits was rank ".concat(t.rank," ")+"and dim was ".concat(n));var r=S9((function(e,t,r){var a=O9(t,[n],!0),i=R9(X6(t,"float32"),a);r([e,i]);var o=E9(c8(i,e));return{value:e9(o,[n]),gradFunc:function(e,t){var r=S(t,2),a=r[0],i=r[1],o=G7(e.shape,[n]);return[c8(W8(e,o),R9(X6(a,"float32"),a9(i))),c8(W8(e,o),R9(a9(i),X6(a,"float32")))]}}}));return r(e,t)}var bre=B5({softmaxCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"onehotLabels","softmaxCrossEntropy"),s=L5(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","softmaxCrossEntropy")),D$(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var c=Z7(a),l=Z7(1),h=Z7(o.shape[1]);o=o8(c8(o,R9(l,c)),u8(c,h))}var p=yre(o,s);return cre(p,u,i)}});var xre=B5({sparseFillEmptyRows_:function(e,t,n,r){var a=L5(e,"indices","sparseFillEmptyRows","int32"),i=L5(t,"values","sparseFillEmptyRows"),o=L5(n,"denseShape","sparseFillEmptyRows","int32"),s=L5(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        ".concat(a.shape));if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape ".concat(i.shape));if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(o.shape));if(0!==s.rank)throw new Error("Default value should be a scalar but received shape ".concat(s.shape));var u={indices:a,values:i,denseShape:o,defaultValue:s},c=E5.runKernel(u3,u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var kre=B5({sparseReshape_:function(e,t,n){var r=L5(e,"inputIndices","sparseReshape","int32"),a=L5(t,"inputShape","sparseReshape","int32"),i=L5(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n        ".concat(r.shape));if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape ".concat(a.shape));if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape ".concat(i.shape));var o={inputIndices:r,inputShape:a,newShape:i},s=E5.runKernel(c3,o);return{outputIndices:s[0],outputShape:s[1]}}});var wre=B5({sparseSegmentMean_:function(e,t,n){var r=L5(e,"data","sparseSegmentMean"),a=L5(t,"indices","sparseSegmentMean","int32"),i=L5(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n          ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(l3,o)}});var Ire=B5({sparseSegmentSum_:function(e,t,n){var r=L5(e,"data","sparseSegmentSum"),a=L5(t,"indices","sparseSegmentSum","int32"),i=L5(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(h3,o)}});var Nre=B5({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=L5(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: ".concat(u.shape));var c=L5(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var l={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},h={data:u,dataSplits:c},p=E5.runKernel(g3,h,l);return{nGrams:p[0],nGramsSplits:p[1]}}});var Sre=B5({stringSplit_:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"input","stringSplit","string"),a=L5(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape ".concat(r.shape));if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape ".concat(a.shape));var i={skipEmpty:n},o={input:r,delimiter:a},s=E5.runKernel(y3,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var Tre=B5({stringToHashBucketFast_:function(e,t){var n=L5(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return E5.runKernel(b3,a,r)}});var Ere=B5({staticRegexReplace_:function(e,t,n){var r=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],a=L5(e,"input","staticRegexReplace","string"),i={pattern:t,rewrite:n,replaceGlobal:r};return E5.runKernel(v3,{x:a},i)}}),Cre={fft:Ite,ifft:Nte,rfft:Ete,irfft:Ste},Are={hammingWindow:Sne,hannWindow:Tne,frame:Ene,stft:Cne},Rre={flipLeftRight:Rne,grayscaleToRGB:_ne,resizeNearestNeighbor:ere,resizeBilinear:$ne,rgbToGrayscale:One,rotateWithOffset:Fne,cropAndResize:Ane,nonMaxSuppression:Mne,nonMaxSuppressionAsync:qne,nonMaxSuppressionWithScore:Kne,nonMaxSuppressionWithScoreAsync:Yne,nonMaxSuppressionPadded:Jne,nonMaxSuppressionPaddedAsync:Qne,threshold:nre,transform:rre},_re={bandPart:are,gramSchmidt:ire,qr:ure},Ore={absoluteDifference:lre,computeWeightedLoss:cre,cosineDistance:hre,hingeLoss:pre,huberLoss:fre,logLoss:dre,meanSquaredError:vre,sigmoidCrossEntropy:gre,softmaxCrossEntropy:bre},Fre={sparseFillEmptyRows:xre,sparseReshape:kre,sparseSegmentMean:wre,sparseSegmentSum:Ire},Dre={stringNGrams:Nre,stringSplit:Sre,stringToHashBucketFast:Tre,staticRegexReplace:Ere},Mre=new Map,Lre=new Map,zre=function(){function e(){l(this,e)}return p(e,[{key:"getClassName",value:function(){return this.constructor.className}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),e}(),Pre=function(){function e(){l(this,e),this.classNameMap={}}return p(e,null,[{key:"getMap",value:function(){return null==e.instance&&(e.instance=new e),e.instance}},{key:"register",value:function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]}}]),e}();function Bre(e,t,n){F$(null!=e.className,(function(){return"Class being registered does not have the static className property defined."})),F$("string"==typeof e.className,(function(){return"className is required to be a string, but got type "+s(e.className)})),F$(e.className.length>0,(function(){return"Class being registered has an empty-string as its className, which is disallowed."})),void 0===t&&(t="Custom"),void 0===n&&(n=e.className);var r=t+">"+n;return Pre.register(e),Mre.set(r,e),Lre.set(e,r),e}var Wre={__proto__:null,Serializable:zre,SerializationMap:Pre,getRegisteredName:function(e){return Lre.has(e)?Lre.get(e):e.className},registerClass:Bre},Vre=function(e){d(s,e);var t,n,r,a,i=w(s);function s(){return l(this,s),i.apply(this,arguments)}return p(s,[{key:"minimize",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2?arguments[2]:void 0,r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return t8(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return N9(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&t8(this.iterations_)}},{key:"saveIterations",value:(a=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:Z7(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"getWeights",value:(r=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for this optimizer yet.");case 1:case"end":return e.stop()}}),e)}))),function(){return r.apply(this,arguments)})},{key:"setWeights",value:(n=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for this optimizer class "+"".concat(this.getClassName()));case 1:case"end":return e.stop()}}),e,this)}))),function(e){return n.apply(this,arguments)})},{key:"extractIterations",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t[0].tensor.data();case 2:return 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F7(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:"".concat(n,"/accum_var"),variable:e8((function(){return F7(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;e8((function(){var e=o8(c8(o,t.rho),c8($7(i),1-t.rho)),n=c8(u8(Q7(o8(s,t.epsilon)),Q7(o8(o,t.epsilon))),i),r=o8(c8(s,t.rho),c8($7(n),1-t.rho));o.assign(e),s.assign(r);var u=o8(c8(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedUpdates&&(t8(this.accumulatedGrads.map((function(e){return e.variable}))),t8(this.accumulatedUpdates.map((function(e){return e.variable}))))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedGrads),T(this.accumulatedUpdates)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=t.length/2,this.accumulatedGrads=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedUpdates=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 7:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adadelta"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}]),a}(Vre),Gre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return l(this,a),(t=r.call(this)).learningRate=e,t.initialAccumulatorValue=n,t.accumulatedGrads=[],t}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=E5.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:e8((function(){return i7(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;e8((function(){var e=o8(o,$7(i));o.assign(e);var n=o8(c8(u8(i,Q7(o8(e,E5.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&t8(this.accumulatedGrads.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,this.accumulatedGrads=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}}],[{key:"className",get:function(){return"Adagrad"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}]),a}(Vre),jre=function(e){d(a,e);var t,n,r=w(a);function a(e,t,n){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],e8((function(){i.accBeta1=Z7(t).variable(),i.accBeta2=Z7(n).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=R9(1,t.accBeta2);n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:e8((function(){return F7(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:e8((function(){return F7(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedSecondMoment[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=o8(c8(c,t.beta2),c8($7(s),1-t.beta2)),p=u8(l,r),f=u8(h,a);u.assign(l),c.assign(h);var d=o8(c8(u8(p,o8(Q7(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(c8(t.accBeta1,t.beta1)),t.accBeta2.assign(c8(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&t8(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedFirstMoment),T(this.accumulatedSecondMoment)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.decay=s,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],e8((function(){i.iteration=Z7(0).variable(),i.accBeta1=Z7(t).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=u8(-t.learningRate,o8(c8(t.iteration,t.decay),1));n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:F7(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:F7(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedWeightedInfNorm[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=c8(c,t.beta2),p=l8(s),f=G9(h,p);u.assign(l),c.assign(f);var d=o8(c8(u8(a,r),u8(l,o8(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(o8(t.iteration,1)),t.accBeta1.assign(c8(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&t8(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}}],[{key:"className",get:function(){return"Adamax"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}]),a}(Vre),qre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t;return l(this,a),(t=r.call(this)).learningRate=e,t.setLearningRate(e),t}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=E5.registeredVariables[n];e8((function(){var e=o8(c8(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()}},{key:"setLearningRate",value:function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=n8(Z7(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0]);case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate}}}],[{key:"className",get:function(){return"SGD"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate)}}]),a}(Vre),Kre=function(e){d(a,e);var t,n,r=w(a);function a(e,t){var n,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return l(this,a),(n=r.call(this,e)).learningRate=e,n.momentum=t,n.useNesterov=i,n.accumulations=[],n.m=Z7(n.momentum),n}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=E5.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:e8((function(){return F7(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&e8((function(){var e,n=o8(c8(t.m,i),o);e=t.useNesterov?o8(c8(t.c,o8(o,c8(n,t.m))),a):o8(c8(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&t8(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;e8((function(){var e=o8(c8(s,t.decay),c8($7(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=o8(c8(n,t.decay),c8(o,1-t.decay)),c=u8(c8(o,t.learningRate),Q7(R9(e,o8($7(i),t.epsilon)))),l=o8(c8(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=R9(a,l);a.assign(h)}else{var p=o8(c8(s,t.decay),c8($7(o),1-t.decay)),f=o8(c8(u,t.momentum),u8(c8(o,t.learningRate),Q7(o8(p,t.epsilon))));s.assign(p),u.assign(f);var d=R9(a,f);a.assign(d)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&t8(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&t8(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&t8(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedMeanSquares),T(this.accumulatedMoments)),this.centered&&t.push.apply(t,T(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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e(t){if(l(this,e),!k0().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelJsonFileName=t+".json",this.weightDataFileName=t+".weights.bin"}var t;return p(e,[{key:"save",value:(t=c(o().mark((function e(t){var n,r,a,i,s,u,c;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("undefined"!=typeof document){e.next=2;break}throw new Error("Browser downloads are not supported in this environment since `document` is not present");case 2:if(n=j5.join(t.weightData),r=window.URL.createObjectURL(new Blob([n],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer)){e.next=8;break}throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 8:return a=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i=t6(t,a),s=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),(u=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,u.href=s,e.next=16,Jre((function(){return u.dispatchEvent(new MouseEvent("click"))}));case 16:if(null==t.weightData){e.next=22;break}return(c=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,c.href=r,e.next=22,Jre((function(){return c.dispatchEvent(new MouseEvent("click"))}));case 22:return e.abrupt("return",{modelArtifactsInfo:i6(t)});case 23:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})}]),e}();Zre.URL_SCHEME="downloads://";var Qre=function(){function e(t){if(l(this,e),null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+"but received 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p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);jue.className="HeNormal",Bre(jue);var Hue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Hue.className="HeUniform",Bre(Hue);var que=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);que.className="LeCunNormal",Bre(que);var Kue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Kue.className="LeCunUniform",Bre(Kue);var Xue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.ELEMENTS_WARN_SLOW=2e3,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){if(e.length<2)throw new xse("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=L$(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than ".concat(n.ELEMENTS_WARN_SLOW," (").concat(i,") elements: ")+"Slowness may result.");var o=wue([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=_re.qr(o,!1),u=s[0],c=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=c8(u,c.sign()),r<a&&(u=u.transpose()),c8(Z7(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(Fue);Xue.className="Orthogonal",Bre(Xue);var Yue={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Jue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Fse(e,Pre.getMap().classNameMap,t,"initializer")}function Zue(e){return _se(e)}function Que(e){if("string"==typeof e){var t=e in Yue?Yue[e]:e;if("GlorotNormal"===t)return new Gue;if("GlorotUniform"===t)return new Uue;if("HeNormal"===t)return new jue;if("HeUniform"===t)return new Hue;if("LeCunNormal"===t)return new que;if("LeCunUniform"===t)return new Kue;var n={};return n.className=t,n.config={},Jue(n)}return e instanceof Fue?e:Jue(e)}function $ue(e){return Array.isArray(e)&&Array.isArray(e[0])}function ece(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function tce(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new bse("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function nce(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new bse("Expected exactly 1 Shape; got ".concat(e.length))}return e}function rce(e){var t,n=0,r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(e){r.e(e)}finally{r.f()}return n}var ace="Variable",ice=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:ace,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;l(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Gse(),r=null==r?ace:r,this.originalName=rue(r),this.name=aue(this.originalName),this.trainable_=a,this.constraint=i,this.val=Zte(t,this.trainable_,this.name,this.dtype)}return p(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function oce(e){return e.map((function(e){return e.read()}))}function sce(e){e.forEach((function(e){e[0].write(e[1])}))}var uce=p((function e(t){l(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}})),cce=p((function e(t,n,r,a,i,o,s){l(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=Gse(),null!=o&&(this.originalName=rue(o),this.name=aue(this.originalName)),this.rank=n.length})),lce=0,hce=function(){function e(t,n){l(this,e),this.callArgs=n,this.id=lce++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=O(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(e){a.e(e)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return p(e,[{key:"getConfig",value:function(){var e,t=[],n=O(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(e){n.e(e)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),pce=0,fce=function(e){d(n,e);var t=w(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=pce++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var i=e.getClassName();a=Cse(i)+"_"+Hse(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return p(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new yse("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new bse("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return Tse(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return Tse(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new gse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new gse("Layer ".concat(this.name)+" is not connected, no input to return.");return Tse(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new gse("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new gse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Tse(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){var t=Ese(e);if(null!=this.inputSpec&&0!==this.inputSpec.length){var n=Ese(this.inputSpec);if(t.length!==n.length)throw new bse("Layer ".concat(this.name," expects ").concat(n.length," inputs, ")+"but it received ".concat(t.length," input tensors. ")+"Input received: ".concat(e));for(var r=0;r<t.length;r++){var a=t[r],i=n[r];if(null!=i){var o=a.rank;if(null!=i.ndim&&o!==i.ndim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(i.ndim,", found ndim=").concat(o));if(null!=i.maxNDim&&o>i.maxNDim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected max_ndim=".concat(i.maxNDim,", found ndim=").concat(o));if(null!=i.minNDim&&o<i.minNDim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected min_ndim=".concat(i.minNDim,", found ndim=").concat(o,"."));if(null!=i.dtype&&a.dtype!==i.dtype)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name," ")+": expected dtype=".concat(i.dtype,", found dtype=").concat(a.dtype,"."));if(i.axes){var s=a.shape;for(var u in i.axes){var c=Number(u),l=i.axes[u],h=c>=0?s[c]:s[s.length+c];if(null!=l&&-1===[l,null].indexOf(h))throw new bse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(c," of input shape to ")+"have value ".concat(l," but got shape ").concat(s,"."))}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var f=i.shape[p],d=a.shape[p];if(null!=f&&null!=d&&f!==d)throw new bse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected shape=").concat(i.shape,", ")+"found shape=".concat(a.shape,"."))}}}}}},{key:"call",value:function(e,t){return e}},{key:"invokeCallHook",value:function(e,t){null!=this._callHook&&this._callHook(e,t)}},{key:"setCallHook",value:function(e){this._callHook=e}},{key:"clearCallHook",value:function(){this._callHook=null}},{key:"apply",value:function(e,t){var n=this;t=t||{},this.assertNotDisposed();var r=Ese(e),a=function(e){var t,n=!0,r=O(Ese(e));try{for(r.s();!(t=r.n()).done;){if(!(t.value instanceof cce)){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e),i=function(e){var t,n=!0,r=O(Ese(e));try{for(r.s();!(t=r.n()).done;){if(t.value instanceof cce){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e);if(a===i)throw new bse("Arguments to apply() must be all SymbolicTensors or all Tensors");return nue(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var a,o=[],s=O(Ese(e));try{for(s.s();!(a=s.n()).done;){var u=a.value;o.push(u.shape)}}catch(e){s.e(e)}finally{s.f()}n.build(Tse(o)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&i&&(n._refCount=1)}if(n.assertInputCompatibility(e),i){var c=n.call(e,t);n.supportsMasking&&n.setMaskMetadata(e,c);var l,h=[],p=O(Ese(c));try{for(p.s();!(l=p.n()).done;){var f=l.value;-1!==r.indexOf(f)&&(f=f.clone()),h.push(f)}}catch(e){p.e(e)}finally{p.f()}if(c=Tse(h),null!=n.activityRegularizer)throw new xse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,v=function(e){e=Ese(e);var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;n.push(a.shape)}}catch(e){r.e(e)}finally{r.f()}return Tse(n)}(e),m=n.computeOutputShape(v),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?v[0]:v),d=null!=m&&m.length>0&&Array.isArray(m[0])?m.map((function(r,a){return new cce(g,r,n,Ese(e),t,n.name,a)})):new cce(g,m,n,Ese(e),t,n.name),n.addInboundNode(e,d,null,null,v,m,t),n._refCount++,null!=n.activityRegularizer)throw new xse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))}},{key:"warnOnIncompatibleInputShape",value:function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+"".concat(JSON.stringify(e),") does not match that of the ")+"batchInputShape (".concat(JSON.stringify(this.batchInputShape),") ")+"of the layer ".concat(this.name));else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor "+"(".concat(JSON.stringify(e),") does not ")+"match the expectation of layer ".concat(this.name,": ")+"".concat(JSON.stringify(this.batchInputShape)))}}},{key:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new gse("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=O(this.inboundNodes);try{for(n.s();!(e=n.n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}}catch(e){n.e(e)}finally{n.f()}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new gse("The layer ".concat(this.name," has multiple inbound nodes with different ")+'output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}},{key:"countParams",value:function(){if(!this.built)throw new yse("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return rce(this.weights)}},{key:"build",value:function(e){this.built=!0}},{key:"getWeights",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return oce(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;e8((function(){var n=t.weights;if(n.length!==e.length)throw new bse('You called setWeights(weights) on layer "'.concat(t.name,'" ')+"with a weight list of length ".concat(e.length,", ")+"but the layer was expecting ".concat(n.length," weights. ")+"Provided weights: ".concat(e,"..."));if(0!==n.length){for(var r=[],a=oce(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!P$(o.shape,u.shape))throw new bse("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}sce(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new bse("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():Que("zeros"));var u=r.apply(t,n),c=new ice(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(c.read())})),null==i&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}},{key:"setFastWeightInitDuringBuild",value:function(e){this.fastWeightInitDuringBuild=e}},{key:"addLoss",value:function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=Ese(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,T(e)))}},{key:"computeOutputShape",value:function(e){return e}},{key:"computeMask",value:function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer ".concat(this.name," does not support masking, ")+"but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer ".concat(n.name," does not support masking, ")+"but was passed an inputMask.")}))}return null}return t}},{key:"setMaskMetadata",value:function(e,t,n){if(this.supportsMasking){var r=this.computeMask(e,n),a=Ese(t),i=Ese(r);if(a.length!==i.length)throw new Error("".concat(this.name," outputs ").concat(a.length," tensors ")+"but ".concat(a.length," masks for those tensors"));for(var o=0;o<a.length;o++)a[o].kerasMask=i[o]}}},{key:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=Ese(e);t=Ese(t),n=Ese(n),r=Ese(r),a=ece(a),i=ece(i);var u,c=[],l=[],h=[],p=O(s);try{for(p.s();!(u=p.n()).done;){var f=u.value;c.push(f.sourceLayer),l.push(f.nodeIndex),h.push(f.tensorIndex)}}catch(e){p.e(e)}finally{p.f()}new hce({outboundLayer:this,inboundLayers:c,nodeIndices:l,tensorIndices:h,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d}},{key:"getConfig",value:function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e}},{key:"disposeWeights",value:function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length}},{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Layer '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){if(!this.built)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been ")+"built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been used ")+"yet.");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}],[{key:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(zre);function dce(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++){var o,s=O(dce(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));try{for(s.s();!(o=s.n()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}}catch(e){s.e(e)}finally{s.f()}}return a}var vce=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Hse("input").toString()}),null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),r.trainable=!1,r.built=!0,r.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new bse("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var a=e.batchInputShape;if(null==a){if(null==e.inputShape)throw new bse("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new bse("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";r.batchInputShape=a,r.dtype=i,r.inputSpec=[{shape:a}];var o=new cce(r.dtype,r.batchInputShape,x(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new hce({outboundLayer:x(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return p(n,[{key:"apply",value:function(e,t){throw new bse("Cannot pass any input to an "+"InputLayer's apply() method. InputLayer name: ".concat(this.name))}},{key:"dispose",value:function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}},{key:"getConfig",value:function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}]),n}(fce);function mce(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new bse("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new vce({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}vce.className="InputLayer",Bre(vce);var gce=function(){function e(t){if(l(this,e),this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;var r,a=O(t);try{for(a.s();!(r=a.n()).done;){var i=r.value;this.add(i.key,i.value)}}catch(e){a.e(e)}finally{a.f()}}}return p(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new bse("Duplicate key: name=".concat(e.name,", id=").concat(e.id));return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return X6(t,e.dtype)}catch(n){throw new bse("The dtype of the feed (".concat(t.dtype,") can not be cast to the dtype ")+"of the key '".concat(e.name,"' (").concat(e.dtype,")."))}}(e,t),this.name2Id[e.name]=e.id,null!=n&&(this.id2Mask[e.id]=n),this}},{key:"addFeed",value:function(e){this.add(e.key,e.value)}},{key:"hasKey",value:function(e){return null!=this.id2Value[e.id]}},{key:"names",value:function(){return Object.keys(this.name2Id)}},{key:"getValue",value:function(e){if(e instanceof cce){if(null==this.id2Value[e.id])throw new bse("Nonexistent key: ".concat(e.name));return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new bse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Value[t]}},{key:"getMask",value:function(e){if(e instanceof cce){if(null==this.id2Value[e.id])throw new bse("Nonexistent key: ".concat(e.name));return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new bse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Mask[t]}},{key:"disposeMasks",value:function(){null!=this.id2Mask&&t8(this.id2Mask)}}]),e}(),yce=new wse,bce=new wse;function xce(e,t,n,r){var a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),c=[],l=t.names(),h=O(u);try{for(h.s();!(a=h.n()).done;){var p=a.value;-1!==l.indexOf(p)?c.push(t.getValue(p)):c.push(null)}}catch(e){h.e(e)}finally{h.f()}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d=u.join(",")+"|"+t.names().sort().join(","),v=yce.get(d);if(null==v){var m=function(e,t){F$(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=wce(e[0],t);n=a.sorted,r=a.recipientMap}else{var i,o=new Set,s=O(e);try{for(s.s();!(i=s.n()).done;){var u,c=wce(i.value,t),l=c.sorted,h=c.recipientMap,p=O(l);try{for(p.s();!(u=p.n()).done;){var 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")+"Input ".concat(y," (0-based) originates ")+"from layer type ".concat(b.getClassName(),"."));r.inputNames.push(b.name),r.feedInputShapes.push(b.batchInputShape),r.feedInputNames.push(b.name)}var k,w=O(r.outputLayers);try{for(w.s();!(k=w.n()).done;){var I=k.value;r.outputNames.push(I.name)}}catch(e){w.e(e)}finally{w.f()}r.internalInputShapes=r.inputs.map((function(e){return e.shape})),r.internalOutputShapes=r.outputs.map((function(e){return e.shape}));var N,S={},T={},E={},C={},A={},R=[],_=function e(t,a,i,o,s,u){null!=o&&null!=s&&null!=u||(o=t.sourceLayer,s=t.nodeIndex,u=t.tensorIndex);var c=o.inboundNodes[s];if(-1!==i.indexOf(c))throw new yse("The tensor ".concat(t.name,' at layer "').concat(o.name,'" ')+"is part of a cycle.");if(-1===a.indexOf(c)){r.containerNodes.add(n.nodeKey(o,s)),o.id in A||(A[o.id]=Object.keys(A).length),-1===i.indexOf(c)&&i.push(c);for(var l=c.inboundLayers.length,h=0;h<l;h++){e(c.inputTensors[h],a,i,c.inboundLayers[h],c.nodeIndices[h],c.tensorIndices[h])}for(a.push(c);i.indexOf(c)>=0;)i.splice(i.indexOf(c),1);R.push(c)}},F=[],D=[],M=O(r.outputs);try{for(M.s();!(N=M.n()).done;){_(N.value,F,D)}}catch(e){M.e(e)}finally{M.f()}var L,z=O(R.slice().reverse());try{for(z.s();!(L=z.n()).done;){var P=L.value;T[P.id]=P,P.id in S||(S[P.id]=0);var B=S[P.id],W=null==E[P.outboundLayer.id]?0:E[P.outboundLayer.id];B=Math.max(B,W),E[P.outboundLayer.id]=B,C[P.outboundLayer.id]=P.outboundLayer,S[P.id]=B;for(var V=0;V<P.inboundLayers.length;V++){var U=P.inboundLayers[V],G=P.nodeIndices[V],j=U.inboundNodes[G],H=null==S[j.id]?0:S[j.id];S[j.id]=Math.max(B+1,H),T[j.id]=j}}}catch(e){z.e(e)}finally{z.f()}var q={};for(var K in S){var X=S[K];X in q||(q[X]=[]),q[X].push(T[K])}var Y={};for(var J in E){var Z=E[J];Z in Y||(Y[Z]=[]),Y[Z].push(C[J])}var Q=Object.keys(Y).map((function(e){return parseInt(e,10)})).sort(Dse);r.layers=[];var $,ee=O(Q);try{for(ee.s();!($=ee.n()).done;){var te=Y[$.value];te.sort((function(e,t){var n=A[e.id],r=A[t.id];return n<r?-1:n>r?1:0}));var ne,re=O(te);try{for(re.s();!(ne=re.n()).done;){var ae=ne.value;ae instanceof n&&r.internalContainerRefs.push(ae),r.layers.push(ae)}}catch(e){re.e(e)}finally{re.f()}}}catch(e){ee.e(e)}finally{ee.f()}r.layersByDepth=Y,Q=Object.keys(q).map((function(e){return parseInt(e,10)})).sort(Dse);var ie,oe=r.inputs.slice(),se=[],ue=O(Q);try{for(ue.s();!(ie=ue.n()).done;){var ce,le=O(q[ie.value]);try{for(le.s();!(ce=le.n()).done;){var he=ce.value,pe=he.outboundLayer;if(null!=pe){var fe,de=O(he.inputTensors);try{for(de.s();!(fe=de.n()).done;){var ve=fe.value;if(-1===oe.indexOf(ve))throw new yse("Graph disconnected: cannot obtain value for tensor ".concat(ve)+' at layer "'.concat(pe.name,'". ')+"The following previous layers were accessed without "+"issue: ".concat(se))}}catch(e){de.e(e)}finally{de.f()}var me,ge=O(he.outputTensors);try{for(ge.s();!(me=ge.n()).done;){var ye=me.value;oe.push(ye)}}catch(e){ge.e(e)}finally{ge.f()}se.push(pe.name)}}}catch(e){le.e(e)}finally{le.f()}}}catch(e){ue.e(e)}finally{ue.f()}r.nodesByDepth=q;var be,xe=r.layers.map((function(e){return e.name})),ke=O(xe);try{var we=function(){var e=be.value,t=xe.filter((function(t){return t===e})).length;if(1!==t)throw new yse('The name "'.concat(e,'" is used ').concat(t," times ")+"in the model. All layer names should be unique. 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.layers);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"loadWeights",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n={},r=0,a=_le(e);a&&this.parseWeights(e);var i,o=O(this.layers);try{for(o.s();!(i=o.n()).done;){var s,u=i.value,c=O(u.weights.entries());try{for(c.s();!(s=c.n()).done;){var l=S(s.value,2),h=l[0],p=l[1],f=a?"".concat(p.name.split("/").slice(0,-1).join("/")+"/").concat(h):p.originalName;if(null!=n[f])throw new bse("Duplicate weight name: ".concat(f));n[f]=p,r++}}catch(e){c.e(e)}finally{c.f()}}}catch(e){o.e(e)}finally{o.f()}var d=[];for(var v in e){var m=v;if(null==n[v]){var g=v.split("/"),y=g.slice(0,-2).concat([g[g.length-1]]);m=y.join("/")}if(null!=n[m])d.push([n[m],e[v]]);else if(t)throw new bse("Provided weight data has no target variable: ".concat(v));delete n[m]}if(t){var b=[];for(var x in n)b.push(x);if(b.length>0)throw new bse("".concat(b.length," of ").concat(r," weights are not set: ")+"".concat(b))}sce(d)}},{key:"parseWeights",value:function(e){var t=function(){var t=n.split("/"),r=["vars","layer_checkpoint_dependencies"],a=t.map((function(e){return e.startsWith("_")?e.slice(1):e})).filter((function(e){return!r.includes(e)})).join("/");a!==n&&(e[a]=e[n],delete e[n])};for(var n in Object.keys(e))t()}},{key:"updatedConfig",value:function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers ".concat(Rle),t.backend="TensorFlow.js",t}},{key:"toJSON",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=Ale(this.updatedConfig());return t?JSON.stringify(n):n}},{key:"call",value:function(e,t){var n=this;return e8((function(){e=Ese(e);for(var r=new gce,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return xce(n.outputs,r,t)}))}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){var r;return e=Ese(e),r=null==t?Ise(null,e.length):Ese(t),n.runInternalGraph(e,r)[1]}))}},{key:"computeOutputShape",value:function(e){var t=ece(e);if(t.length!==this.inputLayers.length)throw new bse("Invalid inputShape argument ".concat(e,": ")+"model has ".concat(this.inputLayers.length," tensor inputs."));for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Dse);if(o.length>1){var s,u=O(o);try{for(u.s();!(s=u.n()).done;){var c,l=s.value,h=O(this.nodesByDepth[l]);try{for(h.s();!(c=h.n()).done;){var p=c.value,f=p.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],v=0;v<p.inboundLayers.length;v++){var m=p.inboundLayers[v],g=p.nodeIndices[v],y=p.tensorIndices[v],b=n["".concat(m.name,"_").concat(g,"_").concat(y)];d.push(b)}for(var x=ece(f.computeOutputShape(Tse(d))),k=f.inboundNodes.indexOf(p),w=0;w<x.length;w++){n["".concat(f.name,"_").concat(k,"_").concat(w)]=x[w]}}}}catch(e){h.e(e)}finally{h.f()}}}catch(e){u.e(e)}finally{u.f()}}for(var I=[],N=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],E=this.outputLayersNodeIndices[S],C=this.outputLayersTensorIndices[S],A="".concat(T.name,"_").concat(E,"_").concat(C);N.push(A)}for(var R=0;R<N.length;R++){var _=N[R];Nse(_ in n),I.push(n[_])}return Tse(I)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=Ise(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Dse),c=O(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,p=O(this.nodesByDepth[h]);try{for(p.s();!(l=p.n()).done;){var f,d=l.value,v=d.outboundLayer,m=d.inputTensors,g=d.outputTensors,y=new Array,b=O(m);try{for(b.s();!(f=b.n()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}}catch(e){b.e(e)}finally{b.f()}if(y.length===m.length){var k={},w=void 0,I=void 0,N=void 0,T=void 0;if(null!=d.callArgs&&(k=d.callArgs),1===y.length){var E=S(y[0],2),C=E[0],A=E[1];null==k.mask&&(k.mask=A),N=Ese(v.call(C,k)),T=Ese(v.computeMask(C,A)),w=[C],I=[A]}else w=y.map((function(e){return e[0]})),I=y.map((function(e){return e[1]})),null==k.mask&&(k.mask=I),N=Ese(v.call(w,k)),T=Ese(v.computeMask(w,I));if(v.activityRegularizer)throw new xse("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var R=0;R<g.length;++R){var _=g[R],F=N[R],D=T[R];n[_.id]=[F,D]}}}}catch(e){p.e(e)}finally{p.f()}}}catch(e){c.e(e)}finally{c.f()}var M,L=[],z=[],P=[],B=O(this.outputs);try{for(B.s();!(M=B.n()).done;){var W=M.value;Nse(W.id in n,"Could not compute output ".concat(W.name," : ").concat(W.id));var V=S(n[W.id],2),U=V[0],G=V[1];P.push(U.shape),L.push(U),z.push(G)}}catch(e){B.e(e)}finally{B.f()}return[L,z,P]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=O(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(e){i.e(e)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t)return this.findLayer(t);if(null==e)throw new bse("Provide either a layer name or layer index");if("number"==typeof e)return this.findLayer(e);var n,r=O(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(e){r.e(e)}finally{r.f()}throw new bse("No such layer: ".concat(e))}},{key:"findLayer",value:function(e){if(this.layers.length<=e)throw new bse("Was asked to retrieve layer at index ".concat(e,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[e]}},{key:"calculateLosses",value:function(){var e=this;return e8((function(){var t,r=[],a=O(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,T(i.calculateLosses()))}}catch(e){a.e(e)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=O(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],p=n.nodeKey(o,l),f={};if(this.containerNodes.has(p)){if(h.callArgs)try{JSON.stringify(h.callArgs),f=h.callArgs}catch(e){console.warn("Layer ".concat(o.name," was passed ")+"non-serializable keyword arguments: "+"".concat(h.callArgs,". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(h.inboundLayers.length>0){for(var d=[],v=0;v<h.inboundLayers.length;v++){var m=h.inboundLayers[v],g=h.nodeIndices[v],y=h.tensorIndices[v],b=r[n.nodeKey(m,g)];null==b&&(b=0),d.push([m.name,b,y,f])}c.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=c,a.push(x)}}catch(e){i.e(e)}finally{i.f()}t.layers=a;for(var k=[],w=0;w<this.inputLayers.length;w++){var I=this.inputLayers[w],N=this.inputLayersNodeIndices[w],S=n.nodeKey(I,N);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var E=this.inputLayersTensorIndices[w];k.push([I.name,T,E])}}t.inputLayers=k;for(var C=[],A=0;A<this.outputLayers.length;A++){var R=this.outputLayers[A],_=this.outputLayersNodeIndices[A],F=n.nodeKey(R,_);if(this.containerNodes.has(F)){var D=r[F];null==D&&(D=0);var M=this.outputLayersTensorIndices[A];C.push([R.name,D,M])}}return t.outputLayers=C,t}},{key:"stateful",get:function(){if(this._stateful)throw new bse("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(e){t.e(e)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;e8((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=O(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var p=r[c];if(p.inboundNodes.length<=l)return void i(e,t);var f=p.inboundNodes[l];o.push(f.outputTensors[h])}}catch(e){s.e(e)}finally{s.f()}o.length>0&&e.apply(Tse(o),n)}function s(e){var a=e.name,o=Xce(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new bse("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=O(l);try{for(h.s();!(u=h.n()).done;){var p=u.value;s(p)}}catch(e){h.e(e)}finally{h.f()}for(;!Lse(a);){var f,d=O(l);try{for(d.s();!(f=d.n()).done;){var v=f.value,m=r[v.name];if(m.name in a){var g=a[m.name];delete a[m.name];var y,b=O(g);try{for(b.s();!(y=b.n()).done;){var x=y.value;o(m,x)}}catch(e){b.e(e)}finally{b.f()}}}}catch(e){d.e(e)}finally{d.f()}}var k,w=[],I=[],N=t.inputLayers,S=O(N);try{for(S.s();!(k=S.n()).done;){var T=k.value,E=T[0],C=T[1],A=T[2];Nse(E in r);var R=r[E],_=R.inboundNodes[C].outputTensors;w.push(_[A])}}catch(e){S.e(e)}finally{S.f()}var F,D=t.outputLayers,M=O(D);try{for(M.s();!(F=M.n()).done;){var L=F.value,z=L[0],P=L[1],B=L[2];Nse(z in r);var W=r[z],V=W.inboundNodes[P].outputTensors;I.push(V[B])}}catch(e){M.e(e)}finally{M.f()}return new e({inputs:w,outputs:I,name:c})}}]),n}(fce);function Fle(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===s(e)&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element(s), but the model has ".concat(r," outputs. ")+"Make sure a set of weights is provided for each model output.");return e}if("object"===s(e)&&Object.keys(e).length>0&&"object"===s(e[Object.keys(e)[0]])){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple (".concat(r,") outputs, ")+"so ".concat(n," must be either an array with ")+"".concat(r," elements or an object with ").concat(t," keys. ")+"Provided ".concat(n," not understood: ").concat(JSON.stringify(e)))}function Dle(e,t){return Fle(e,t,"classWeight")}function Mle(e,t,n,r){return Lle.apply(this,arguments)}function Lle(){return(Lle=c(o().mark((function e(t,n,r,a){var i,s,u;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=e8((function(){if(1===t.shape.length)return Y6(t);if(2===t.shape.length){if(t.shape[1]>1){return m8(t,1)}if(1===t.shape[1])return W8(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size (".concat(t.shape[1],") ")+"during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor (".concat(t.rank,") during ")+"handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,s=e.t0.from.call(e.t0,e.t1),t8(i),u=[],s.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. "+"The class ".concat(e," exists in the data but not in ")+"classWeight");u.push(r[e])})),e.abrupt("return",Dte(u,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function zle(e,t){return c8(e,t)}function Ple(e,t){var n,r,a=t;n=a.xs,r=a.ys,F$(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+"".concat(t)}));var i=Ble("input",e.inputNames,n),o=Ble("output",e.outputNames,r),s=i[0].shape[0];F$(i.length===e.inputs.length,(function(){return"LayersModel has ".concat(e.inputs.length," inputs, but the dataset ")+"provides ".concat(i.length," inputs.  (Expected input keys: ")+"".concat(JSON.stringify(e.inputNames),")")})),F$(o.length===e.outputs.length,(function(){return"LayersModel has ".concat(e.outputs.length," outputs, but the dataset ")+"provides ".concat(o.length," outputs.  (Expected output keys: ")+"".concat(JSON.stringify(e.outputNames),")")}));for(var u=function(t){F$(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+"".concat(e.inputNames[t]," has ").concat(i[t].shape[0],"; ")+"expected  ".concat(s," based on input ").concat(e.inputNames[0],".")}))},c=0;c<i.length;c++)u(c);for(var l=function(t){F$(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+"".concat(e.outputNames[t]," has ").concat(o[t].shape[0],"; ")+"expected  ".concat(s," based on input ").concat(e.inputNames[0],".")}))},h=0;h<o.length;h++)l(h);return{xs:i,ys:o}}function Ble(e,t,n){if(n instanceof n5)return[n];if(Array.isArray(n))return F$(n.length===t.length,(function(){return"Received an array of ".concat(n.length," Tensors, but expected ").concat(t.length," to match the ").concat(e," keys ").concat(t,".")})),n;var r,a=[],i=O(t);try{for(i.s();!(r=i.n()).done;){var o=r.value;if(null==n[o])throw new bse("The feature data generated by the dataset lacks the required "+"".concat(e," key '").concat(o,"'."));a.push(n[o])}}catch(e){i.e(e)}finally{i.f()}return a}function Wle(e){if(3===e.length)throw new xse("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function Vle(e,t,n){return Ule.apply(this,arguments)}function Ule(){return Ule=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,F$(null!=t.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),F$(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),F$(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive "+"integer, but got ".concat(r.epochs)})),F$(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+"positive integer if specified, but got ".concat(r.batchesPerEpoch)})),F$(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(jle(r.validationData)?F$(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+"but got ".concat(r.validationBatches)})):(c=Wle(r.validationData),s=c.xs,u=c.ys)),l=t.makeTrainFunction(),h=t.getDedupedMetricsNames(),p=i?h.slice().concat(h.map((function(e){return"val_"+e}))):h.slice(),f=Hce(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,v=Kce(f,d,r.epochs,null,null,Gle(n,r),null,i,p),m=v.callbackList,g=v.history,m.setModel(t),t.history=g,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,y=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:b=e.sent;case 27:if(!(y<r.epochs)){e.next=98;break}return x={},e.next=31,m.onEpochBegin(y);case 31:if(k=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:b=e.sent;case 37:if(a&&!(k<r.batchesPerEpoch)){e.next=91;break}return e.next=40,b.next();case 40:if(I=e.sent,!a||!I.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(k," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==I.value){e.next=73;break}return N=Ple(t,I.value),S=N.xs,T=N.ys,(E={}).batch=w,E.size=S[0].shape[0],e.next=51,m.onBatchBegin(w,E);case 51:if(C=[],null==r.classWeight){e.next=64;break}A=Dle(r.classWeight,t.outputNames),R=0;case 55:if(!(R<A.length)){e.next=64;break}return e.t0=C,e.next=59,Mle(T[R],null,A[R]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++R,e.next=55;break;case 64:for(_=S.concat(T).concat(C),O=l(_),t8(_),F=0;F<h.length;++F)D=h[F],M=O[F],E[D]=M,n8(M);return e.next=70,m.onBatchEnd(w,E);case 70:Bce(E),w++,k++;case 73:if(!(a?k>=r.batchesPerEpoch:I.done)){e.next=87;break}if(!i){e.next=86;break}if(L=void 0,!jle(r.validationData)){e.next=84;break}return e.t2=Ese,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,L=(0,e.t2)(e.t3),e.next=85;break;case 84:L=Ese(t.evaluate(s,u,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(z=0;z<t.metricsNames.length;++z)x["val_".concat(t.metricsNames[z])]=L[z];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(y,x);case 93:if(y++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),Ule.apply(this,arguments)}function Gle(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function jle(e){return"function"==typeof e.iterator}function Hle(e){return"function"==typeof e.next}function qle(e,t,n){return Kle.apply(this,arguments)}function Kle(){return Kle=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,s=[],!(r.verbose>0)){e.next=6;break}throw new xse("Verbose mode is not implemented yet.");case 6:if(F$(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),!Hle(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:u=e.t0,c=0,l=0,h=o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,u.next();case 2:if(n=e.sent,s=e8((function(){if(n.value){var e=Ple(t,n.value),r=e.xs,a=e.ys,o=r.concat(a),u=e8((function(){return i(o)}));if(t8(o),0===l)for(var h=0;h<u.length;++h)s.push(Z7(0));for(var p=o[0].shape[0],f=function(e){var t=u[e],n=s[e];s[e]=e8((function(){return o8(s[e],c8(p,t))})),l>0&&t8(n)},d=0;d<u.length;++d)f(d);t8(u),c+=p,++l}return s})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(r.batches," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("return","break");case 7:case"end":return e.stop()}}),e)}));case 18:if(a&&!(l<r.batches)){e.next=25;break}return e.delegateYield(h(),"t1",20);case 20:if("break"!==e.t1){e.next=23;break}return e.abrupt("break",25);case 23:e.next=18;break;case 25:for(p=0;p<s.length;++p)f=s[p],s[p]=u8(s[p],c),t8(f);return e.abrupt("return",Tse(s));case 27:case"end":return e.stop()}}),e)}))),Kle.apply(this,arguments)}function Xle(e){F$(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got ".concat(e)}))}function Yle(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return mue(e,t,n-t)})):mue(e,t,n-t)}function Jle(e,t){return e8((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return Jle(e,t)})):Nue(e,"int32"===t.dtype?t:X6(t,"int32"))}))}function Zle(e,t){for(var n=[],r=0,a=null;r<e;)(a=r+t)>=e&&(a=e),n.push([r,a]),r=a;return n}function Qle(e){var t=[];e instanceof n5&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(due(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function $le(e,t){if(null!=e){var n=[];if(t instanceof n5)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof n5)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function ehe(e){return Array.isArray(e)}function the(e){return!function(e){return e instanceof n5}(e)&&!ehe(e)}function nhe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(null==t||0===t.length){if(null!=e){var o=!1;if(ehe(e)&&e.length>0)o=!0;else if(the(e)){for(var s in e)if(e.hasOwnProperty(s)){o=!0;break}}else o=!0;if(o)throw new bse("Error when checking model ".concat(i," expected no data, ")+"but got ".concat(e))}return[]}if(null==e)return t.map((function(e){return null}));if(the(e)){r=[];var u,c=O(t);try{for(c.s();!(u=c.n()).done;){var l=u.value;if(null==e[l])throw new bse('No data provided for "'.concat(l,'". Need data for each key in: ')+"".concat(t));r.push(e[l])}}catch(e){c.e(e)}finally{c.f()}}else if(ehe(e)){if(e.length!==t.length)throw new bse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"model expected. Expected to see ".concat(t.length," Tensor(s), but ")+"instead got the following list of Tensor(s): ".concat(e));r=e}else{if(t.length>1)throw new bse("The model ".concat(i," expects ").concat(t.length," Tensor(s), ")+"but only received one Tensor. Found: Tensor with shape ".concat(e.shape));r=[e]}if(r=Qle(r),null!=n)for(var h=0;h<t.length;++h)if(null!=n[h]){var p=r[h];if(p.shape.length!==n[h].length)throw new bse("Error when checking ".concat(i,": expected ").concat(t[h]," ")+"to have ".concat(n[h].length," dimension(s). but got array with ")+"shape ".concat(p.shape));for(var f=0;f<n[h].length;++f)if(0!==f||a){var d=p.shape[f],v=n[h][f];if(null!=v&&v>=0&&d!==v)throw new bse("".concat(i," expected a batch of elements where each ")+"example has shape [".concat(n[h].slice(1,n[h].length),"] ")+"(i.e.,tensor shape [*,".concat(n[h].slice(1,n[h].length),"])")+" but the ".concat(i," received an input with ").concat(p.shape[0])+" examples, each with shape [".concat(p.shape.slice(1,p.shape.length),"]")+" (tensor shape [".concat(p.shape,"])"))}}return r}function rhe(e,t,n){var r=Mse(e.map((function(e){return e.shape[0]})));r.sort();var a=Mse(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new bse("All input Tensors (x) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(e.map((function(e){return e.shape})))));if(a.length>1)throw new bse("All target Tensors (y) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(t.map((function(e){return e.shape})))));if(r.length>0&&a.length>0&&!P$(r,a))throw new bse("Input Tensors should have the same number of samples as target "+"Tensors. Found ".concat(r[0]," input sample(s) and ").concat(a[0]," target ")+"sample(s).")}function ahe(e,t,n){for(var r=[Jce,nle,ele],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===ele&&1===i.shape[i.shape.length-1])throw new bse("You are passing a target array of shape ".concat(i.shape," while using ")+"a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],p=c[l];if(null!=p&&h!==p)throw new bse("A target Tensor with shape ".concat(i.shape," was passed for an ")+"output of shape ".concat(s,", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}}function ihe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(Array.isArray(e)){if(e.length!==t.length)throw new bse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"the model expected. Expected to see ".concat(t.length," Tensor(s),")+" but instead got ".concat(e.length," Tensors(s)."));r=e}else{if(t.length>1)throw new bse("The model expects ".concat(t.length," ").concat(i," Tensors, ")+"but only received one Tensor. Found: array with shape "+"".concat(JSON.stringify(e.shape),"."));r=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=r[o];if(s.shape.length!==n[o].length)throw new bse("Error when checking ".concat(i,": expected ").concat(t[o]," ")+"to have ".concat(n[o].length," dimension(s), but got array with ")+"shape ".concat(JSON.stringify(s.shape)));for(var u=0;u<n[o].length;++u)if(0!==u||a){var c=s.shape[u],l=n[o][u];if(null!=l&&l!==c)throw new bse("Error when checking ".concat(i,": expected ")+"".concat(t[o]," to have shape ").concat(JSON.stringify(n[o])," but ")+"got array with shape ".concat(JSON.stringify(s.shape),"."))}}}var ohe=function(e){d(m,e);var t,n,r,a,i,u,h,f=w(m);function m(e){var t;return l(this,m),(t=f.call(this,e)).isTraining=!1,t}return p(m,[{key:"summary",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:console.log;if(!this.built)throw new bse("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");kle(this,e,t,n)}},{key:"compile",value:function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,"string"==typeof e.optimizer)this.optimizer_=function(e){var t={Adagrad:function(){return Kae.adagrad(.01)},Adadelta:function(){return Kae.adadelta(1,.95,pue())},Adam:function(){return Kae.adam(.001,.9,.999,pue())},Adamax:function(){return Kae.adamax(.002,.9,.999,pue(),0)},RMSProp:function(){return Kae.rmsprop(.001,.9,0,pue())},SGD:function(){return Kae.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new bse("Unknown Optimizer ".concat(e))}(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Vre))throw new bse("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(e.loss)||"string"==typeof e.loss||"function"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new bse("When passing an Array as loss, it should have one entry per "+"model output. The model has ".concat(this.outputs.length," output(s), ")+"but you passed loss=".concat(e.loss,"."));var r=e.loss;n=r.map((function(e){return ole(e)}))}else{var a=ole(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new bse('Unknown entry in loss dictionary: "'.concat(i,'". ')+"Only expected the following keys: ".concat(this.outputNames));var o,u=O(this.outputNames);try{for(u.s();!(o=u.n()).done;){var c=o.value;null==e.loss[c]&&console.warn('Output "'.concat(c,'" is missing from loss dictionary. 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Fse(e,Pre.getMap().classNameMap,t,"regularizer")}function Bhe(e){return null==e?null:"string"==typeof e?Phe({className:e in Lhe?Lhe[e]:e,config:{}}):e instanceof Dhe?e:Phe(e)}var Whe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return p(n,[{key:"call",value:function(e,t){e=tce(e);var n=nte(e);return null!=this.maxValue&&(n=o7(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Whe.className="ReLU",Bre(Whe);var Vhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=.3,null==e&&(e={}),r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return g9(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Vhe.className="LeakyReLU",Bre(Vhe);var Uhe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=Que(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=Bhe(e.alphaRegularizer),r.alphaConstraint=Fce(e.alphaConstraint),null==e.sharedAxes)r.sharedAxes=null;else if(Array.isArray(e.sharedAxes))r.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new bse("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e)).slice(1);if(null!=this.sharedAxes){var n,r=O(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(e){r.e(e)}finally{r.f()}}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new uce({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=tce(e),hee(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:Zue(this.alphaInitializer),alphaRegularizer:zhe(this.alphaRegularizer),alphaConstraint:_ce(this.alphaConstraint),sharedAxes:this.sharedAxes},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Uhe.className="PReLU",Bre(Uhe);var Ghe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new xse("Non-default alpha value (".concat(e.alpha,") is not supported by the ")+"ELU layer yet.");return r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return z7(n)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Ghe.className="ELU",Bre(Ghe);var jhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_THETA=1,null==e&&(e={}),r.theta=null==e.theta?r.DEFAULT_THETA:e.theta,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return c8(n,X6(h9(n,this.theta),"float32"))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={theta:this.theta},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);jhe.className="ThresholdedReLU",Bre(jhe);var Hhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new The).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var r=tce(e),a=t.mask;if(null!=a){var i=c8(R9(q9(r.shape),X6(a,r.dtype)),Z7(-1e9));r=o8(r,i)}return n.axis instanceof Array?n.axis.length>1?a9(R9(r,O9(r,n.axis,!0))):n.softmax(r,n.axis[0]):n.softmax(r,n.axis)}))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);function qhe(e,t,n){if("number"==typeof e)return Ise(e,t);if(e.length!==t)throw new bse("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new bse("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. Received: ".concat(JSON.stringify(e)," including a")+" non-integer number ".concat(a))}return e;var i}function Khe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:1;if(null==e)return e;var i,o=t+(t-1)*(a-1);return i="same"===n?e:e-o+1,Math.floor((i+r-1)/r)}function Xhe(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+lue([n-t,0]);else{if("same"!==r)throw new bse("Unsupport padding mode: ".concat(r,"."));e*=t}return e}function Yhe(e,t){return e8((function(){return Qse(t),"channelsFirst"===t?rne(e,[0,2,3,1]):e}))}function Jhe(e,t){return e8((function(){return Qse(t),"channelsFirst"===t?rne(e,[0,2,3,4,1]):e}))}function Zhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:1;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),3!==e.shape.length)throw new bse("The input of a conv1dWithBias operation should be 3, but is "+"".concat(e.shape.length," instead."));if(3!==t.shape.length)throw new bse("The kernel for a conv1dWithBias operation should be 3, but is "+"".concat(t.shape.length," instead"));if(null!=n&&1!==n.shape.length)throw new bse("The bias for a conv1dWithBias operation should be 1, but is "+"".concat(t.shape.length," instead"));if("channelsFirst"===i&&(e=rne(e,[0,2,1])),"causal"===a)throw new xse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=p7(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=Eue(s,n)),s}))}function Qhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:null;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),3!==e.rank&&4!==e.rank)throw new bse("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new bse("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=Yhe(e,i);if("causal"===a)throw new xse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=bne({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=rne(u,[0,3,1,2])),u}))}function $he(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),4!==e.rank&&5!==e.rank)throw new bse("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new bse("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=Jhe(e,i);if("causal"===a)throw new xse("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=v7(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=Eue(s,n)),"channelsFirst"===i&&(s=rne(s,[0,4,1,2,3])),s}))}Hhe.className="Softmax",Bre(Hhe);var epe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,Bse(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new xse("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=qhe(r.kernelSize,e,"kernelSize"),a.strides=qhe(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,$se(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Qse(a.dataFormat),a.activation=Ohe(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Que(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Fce(r.biasConstraint),a.biasRegularizer=Bhe(r.biasRegularizer),a.activityRegularizer=Bhe(r.activityRegularizer),a.dilationRate=qhe(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new bse("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(JSON.stringify(a.dilationRate)));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new bse("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new bse("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return p(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Rhe(this.activation),useBias:this.useBias,biasInitializer:Zue(this.biasInitializer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),biasConstraint:_ce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(Nse("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,3))throw new bse("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(fce),tpe=function(e){d(n,e);var t=w(n);function n(e,r){var a;return l(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,Bse(a.filters,"filters"),a.kernelInitializer=Que(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Fce(r.kernelConstraint),a.kernelRegularizer=Bhe(r.kernelRegularizer),a}return p(n,[{key:"build",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:f({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;e=tce(e);var r=null==n.bias?null:n.bias.read(),a=Vse(n.activation.getClassName());if(null!=a&&2===n.rank)t=Qhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=Zhe(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=Qhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new xse("convolutions greater than 3D are not implemented yet.");t=$he(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=nce(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=Khe(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:Zue(this.kernelInitializer),kernelRegularizer:zhe(this.kernelRegularizer),kernelConstraint:_ce(this.kernelConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new bse("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(epe),npe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,2))throw new bse("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);npe.className="Conv2D",Bre(npe);var rpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new bse("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);rpe.className="Conv3D",Bre(rpe);var ape=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new bse("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(4!==(e=nce(e)).length)throw new bse("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uce({ndim:4,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);if(4!==t.shape.length)throw new bse("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],p=n.strides[1],f=[o,Xhe(s,h,c,n.padding),Xhe(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,1]));var d=d7(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=rne(d,[0,3,1,2])),null!=n.bias&&(d=Eue(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=nce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=Xhe(a[n],s,i,this.padding),a[r]=Xhe(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(npe);ape.className="Conv2DTranspose",Bre(ape);var ipe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new bse("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(5!==(e=nce(e)).length)throw new bse("Input should have rank 5; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uce({ndim:5,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);if(5!==t.shape.length)throw new bse("Conv3DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],c=o[r],l=o[a],h=n.kernelSize[0],p=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],v=n.strides[1],m=n.strides[2],g=[s,Xhe(u,d,h,n.padding),Xhe(c,v,p,n.padding),Xhe(l,m,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,4,1]));var y=g7(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=rne(y,[0,4,1,2,3])),null!==n.bias&&(y=Eue(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a,i=(e=nce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],c=this.strides[0],l=this.strides[1],h=this.strides[2];return i[t]=this.filters,i[n]=Xhe(i[n],c,o,this.padding),i[r]=Xhe(i[r],l,s,this.padding),i[a]=Xhe(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(rpe);ipe.className="Conv3DTranspose",Bre(ipe);var ope=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,e,r)).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",a.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",a.depthwiseKernel=null,a.pointwiseKernel=null,null==r.filters)throw new bse("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new bse("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=r.padding&&"same"!==r.padding&&"valid"!==r.padding)throw new bse("SeparableConv".concat(a.rank,"D supports only padding modes: ")+"'same' and 'valid', but received ".concat(JSON.stringify(r.padding)));return a.depthMultiplier=null==r.depthMultiplier?1:r.depthMultiplier,a.depthwiseInitializer=Que(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=Bhe(r.depthwiseRegularizer),a.depthwiseConstraint=Fce(r.depthwiseConstraint),a.pointwiseInitializer=Que(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=Bhe(r.pointwiseRegularizer),a.pointwiseConstraint=Fce(r.pointwiseConstraint),a}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<this.rank+2)throw new bse("Inputs to SeparableConv".concat(this.rank,"D should have rank ")+"".concat(this.rank+2,", but received input shape: ")+"".concat(JSON.stringify(e)));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new bse("The channel dimension of the inputs should be defined, "+"but found ".concat(JSON.stringify(e[t])));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),a=[],i=0;i<this.rank;++i)a.push(1);a.push(n*this.depthMultiplier,this.filters);var o=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",r,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,o,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,o,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,o,this.biasConstraint):this.bias=null,this.inputSpec=[new uce({ndim:this.rank+2,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;if(e=tce(e),1===n.rank)throw new xse("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=rne(e,[0,2,3,1])),t=pte(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Eue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=rne(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Zue(this.depthwiseInitializer),e.pointwiseInitializer=Zue(this.pointwiseInitializer),e.depthwiseRegularizer=zhe(this.depthwiseRegularizer),e.pointwiseRegularizer=zhe(this.pointwiseRegularizer),e.depthwiseConstraint=_ce(this.depthwiseConstraint),e.pointwiseConstraint=_ce(this.pointwiseConstraint),e}}]),n}(tpe);ope.className="SeparableConv";var spe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,2,e)}return p(n)}(ope);spe.className="SeparableConv2D",Bre(spe);var upe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,1))throw new bse("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);upe.className="Conv1D",Bre(upe);var cpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,e),"number"==typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(e=tce(e),"channelsLast"===n.dataFormat){var t=yue(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return yue(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=yue(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return yue(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);cpe.className="Cropping2D",Bre(cpe);var lpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;return l(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,zse(Kse,"InterpolationFormat",a),r}return p(n,[{key:"computeOutputShape",value:function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=rne(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Rre.resizeNearestNeighbor(t,[a,i]):Rre.resizeBilinear(t,[a,i]);return rne(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Rre.resizeNearestNeighbor(t,[s,u]):Rre.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);lpe.className="UpSampling2D",Bre(lpe);var hpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=Que(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Fce(e.depthwiseConstraint),r.depthwiseRegularizer=Bhe(e.depthwiseRegularizer),r}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<4)throw new bse("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new bse("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(e[t],")."));var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return e8((function(){null==a&&(a="channelsLast"),Qse(a);var o=Yhe(e,a);if(4!==e.rank)throw new bse("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new bse("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=N7(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}(e=tce(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=Eue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=Khe(t,this.kernelSize[0],this.padding,this.strides[0]),i=Khe(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Zue(this.depthwiseInitializer),e.depthwiseRegularizer=zhe(this.depthwiseRegularizer),e.depthwiseConstraint=_ce(this.depthwiseRegularizer),e}}]),n}(epe);function ppe(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new bse("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function fpe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return e8((function(){var u=t.shape.length;if(u<3)throw new bse("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(hue(2,u));if(t=rne(t,c),null!=i)throw new xse("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=X6(X6(a,"bool"),"float32")).rank===u-1&&(a=i9(a,-1)),a=rne(a,c)),r&&(t=ate(t,0),null!=a&&(a=ate(a,0)));var l,h,p=[],f=n,d=t.shape[0],v=Yte(t);null!=a&&(h=Yte(a));for(var m,g=function(t){var n=v[t],r=e8((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=e8((function(){var e=h[t],n=R9(nee(e),e);return{output:o8(c8(r[0],e),c8(f[0],n)),newStates:f.map((function(t,a){return o8(c8(r[1][a],e),c8(t,n))}))}}));l=i.output,f=i.newStates}s&&p.push(l)},y=0;y<d;++y)g(y);if(s){m=Rte(p,1)}return[l,m,f]}))}hpe.className="DepthwiseConv2D",Bre(hpe);var dpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;if(l(this,n),r=t.call(this,e),null==e.cell)throw new bse("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new wpe({cells:e.cell}):e.cell).stateSize)throw new bse("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new uce({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return p(n,[{key:"getStates",value:function(){return null==this.states_?hue(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){$ue(e)&&(e=e[0]);var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){var a,i=[],o=O(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(e){o.e(e)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))}},{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"build",value:function(e){if(null!=this.numConstants)throw new xse("Constants support is not implemented in RNN yet.");$ue(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new uce({shape:[t,null].concat(T(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!P$(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new bse("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new uce({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];e8((function(){if(!t.stateful)throw new gse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new bse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return H9([r,e])})):t.states_=[H9([r,t.cell.stateSize])];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return H9([r,e])})):t.states_[0]=H9([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new bse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):t8(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!P$(i.shape,s))throw new bse("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return n8(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=ppe(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=O(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new uce({shape:l.shape}))}}catch(e){c.e(e)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof cce){var h=[e].concat(o),p=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=p;var d=N(v(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=f,d}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=tce(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new bse("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=fpe((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var p=n.returnSequences?l:c;return n.returnState?[p].concat(h):p}))}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=H9(e.shape);return n=due(n=e9(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?kue(n,[1,e]):n})):t.cell.stateSize>1?[kue(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign(Object.assign(Object.assign({},r),e),t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=Xce(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(fce);dpe.className="RNN",Bre(dpe);var vpe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n)}(fce),mpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){e=nce(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(2!==e.length)throw new bse("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=Iue(null!=o?c8(e,o):e,n.kernel.read()),null!=n.bias&&(a=Eue(a,n.bias.read())),null!=s&&(r=c8(r,s));var u=o8(a,Iue(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);mpe.className="SimpleRNNCell",Bre(mpe);var gpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),e.cell=new mpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(dpe);gpe.className="SimpleRNN",Bre(gpe);var ype=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new bse("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ohe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(2!==e.length)throw new bse("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,u[0]));var l=Iue(e,n.kernel.read());n.useBias&&(l=Eue(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,c[0]));var h=n.recurrentKernel.read(),p=S(Tte(h,[2*n.units,n.units],h.rank-1),2),f=p[0],d=p[1],v=Iue(a,f),m=S(Tte(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=S(Tte(v,2,v.rank-1),2),k=x[0],w=x[1];i=n.recurrentActivation.apply(o8(g,k)),o=n.recurrentActivation.apply(o8(y,w));var I=Iue(c8(o,a),d);s=n.activation.apply(o8(b,I));var N=o8(c8(i,a),c8(o8(1,E9(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),recurrentActivation:Rhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);ype.className="GRUCell",Bre(ype);var bpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new ype(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(dpe);bpe.className="GRU",Bre(bpe);var xpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ohe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t,n,r=(e=nce(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new Mue).apply([i]),o=a.apply([2*i]);return xue(xue(n,r),o)}}]),n}(Fue),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new bse("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,l[0]));var p=Iue(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,h[0])),p=o8(p,Iue(a,n.recurrentKernel.read())),n.useBias&&(p=Eue(p,n.bias.read()));var f=S(Tte(p,4,p.rank-1),4),d=f[0],v=f[1],m=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(v),u=o8(c8(s,i),c8(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=c8(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),recurrentActivation:Rhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);xpe.className="LSTMCell",Bre(xpe);var kpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new xpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(dpe);kpe.className="LSTM",Bre(kpe);var wpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).cells=e.cells,r}return p(n,[{key:"stateSize",get:function(){var e,t=[],n=O(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,T(r.stateSize)):t.push(r.stateSize)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a=e.slice(1),i=[],o=O(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(e){o.e(e)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var p,f=O(c.slice().reverse());try{for(f.s();!(p=f.n()).done;){var d,v=p.value;(d=a).push.apply(d,T(v))}}catch(e){f.e(e)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;$ue(e)&&(e=e[0]),this.cells.forEach((function(n,r){nue("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},e),t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.trainableWeights))}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.weights))}}catch(e){n.e(e)}finally{n.f()}return oce(t)}},{key:"setWeights",value:function(e){var t,n=[],r=O(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(e){r.e(e)}finally{r.f()}sce(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=O(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Xce(o,r))}}catch(e){i.e(e)}finally{i.f()}return new e({cells:a})}}]),n}(vpe);function Ipe(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):Aue(t(),n)},c=function(){return Rue(u,t,a)};return!o||o<=1?n8(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return n8(e.clone())}))}wpe.className="StackedRNNCells",Bre(wpe);var Npe=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},Spe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),e.unroll)throw new xse("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new xse("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new uce({ndim:5})],r}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){if(null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new bse("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(T(t.slice(2)))),this.returnState&&(t=[t].concat(T(Array(2).fill([e[0]].concat(T(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=H9([a[0]].concat(T(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];e8((function(){if(!t.stateful)throw new gse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(T(a.slice(2)));if(null==r[0])throw new bse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return H9(i)})):t.states_=[H9(i)];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return H9(i)})):t.states_[0]=H9(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new bse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):t8(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!P$(s.shape,u))throw new bse("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return n8(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=Khe(c,a[0],i,o[0],s[0]),p=Khe(l,a[1],i,o[1],s[1]);return[].concat(T(e.slice(0,2)),T(u?[r,h,p]:[h,p,r]))}}]),n}(dpe);Spe.className="ConvRNN2D";var Tpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,Bse(r.filters,"filters"),r.kernelSize=qhe(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return Bse(e,"kernelSize")})),r.strides=qhe(o||1,2,"strides"),r.strides.forEach((function(e){return Bse(e,"strides")})),r.padding=s||"valid",$se(r.padding),r.dataFormat=u||"channelsLast",Qse(r.dataFormat),r.dilationRate=qhe(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return Bse(e,"dilationRate")})),r}return p(n,[{key:"build",value:function(e){var t;e=nce(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new bse("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return bue([s.apply([u]),q9([u]),s.apply([2*u])])}}]),n}(Fue),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(3!==e.length)throw new bse("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?c8(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),p=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),v=u(i,f,1),m=u(i,f,2),g=u(i,f,3),y=S(Tte(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],w=y[3],I=S(n.useBias?Tte(n.bias.read(),4):[null,null,null,null],4),N=I[0],T=I[1],E=I[2],C=I[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,x,T,n.padding),h=n.inputConv(h,k,E,n.padding),p=n.inputConv(p,w,C,n.padding);var A=S(Tte(n.recurrentKernel.read(),4,3),4),R=A[0],_=A[1],O=A[2],F=A[3];d=n.recurrentConv(d,R),v=n.recurrentConv(v,_),m=n.recurrentConv(m,O),g=n.recurrentConv(g,F);var D=n.recurrentActivation.apply(o8(c,d)),M=n.recurrentActivation.apply(o8(l,v)),L=o8(c8(M,o),c8(D,n.activation.apply(o8(h,m)))),z=c8(n.recurrentActivation.apply(o8(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t=(e.units,Npe(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},t),r)}},{key:"inputConv",value:function(e,t,n,r){var a=h7(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Eue(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return h7(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(xpe);Tpe.className="ConvLSTM2DCell",Bre(Tpe);var Epe=function(e){d(n,e);var t=w(n);function n(e){l(this,n);var r=new Tpe(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return p(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(Spe);Epe.className="ConvLSTM2D",Bre(Epe);var Cpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return p(n,[{key:"getNoiseShape",value:function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return Rue((function(){return Aue(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return N(v(n.prototype),"dispose",this).call(this)}}]),n}(fce);Cpe.className="Dropout",Bre(Cpe);var Ape=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return p(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(Cpe);Ape.className="SpatialDropout1D",Bre(Ape);var Rpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Fce(e.kernelConstraint),r.biasConstraint=Fce(e.biasConstraint),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.activityRegularizer=Bhe(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:f({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r,a=tce(e),i=Vse(n.activation.getClassName());return null!=i?r=Iue(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=Iue(a,n.kernel.read()),null!=n.bias&&(r=Eue(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:Rhe(this.activation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),biasConstraint:_ce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Rpe.className="Dense",Bre(Rpe);var _pe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n=O((e=nce(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new bse('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(e){n.e(e)}finally{n.f()}return[e[0],uue(e,1)]}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=rne(r,a)}return function(e){if(e.rank<=1)throw new bse("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],uue(e.shape,1)];return W8(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);_pe.className="Flatten",Bre(_pe);var Ope=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=Ohe(e.activation),r}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:Rhe(this.activation)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Ope.className="Activation",Bre(Ope);var Fpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return e=tce(e),t=e,r=n.n,e8((function(){if(2!==t.shape.length)throw new bse("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return kue(due(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Fpe.className="RepeatVector",Bre(Fpe);var Dpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return p(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value:function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new bse("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=uue(e);if(null!==i){if(0===a||u%a!=0)throw new bse(n);r[i]=u/a}else if(u!==a)throw new bse(n);return r}},{key:"computeOutputShape",value:function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return W8(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Dpe.className="Reshape",Bre(Dpe);var Mpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+"".concat(e.dims," instead."));var a=hue(1,e.dims.length+1);if(!P$(e.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new uce({ndim:r.dims.length+1})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return rne(tce(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Mpe.className="Permute",Bre(Mpe);var Lpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=tce(e);return v8(eee(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e),a=v8(eee(r,n.maskValue),-1,!0);return c8(r,X6(a,r.dtype))}))}}]),n}(fce);Lpe.className="Masking",Bre(Lpe);var zpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(Ese(e.inputLength))}return r.inputDim=e.inputDim,Bse(r.inputDim,"inputDim"),r.outputDim=e.outputDim,Bse(r.outputDim,"outputDim"),r.embeddingsInitializer=Que(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=Bhe(e.embeddingsRegularizer),r.activityRegularizer=Bhe(e.activityRegularizer),r.embeddingsConstraint=Fce(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return p(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){return n.maskZero?(e=tce(e),eee(e,F7(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=nce(e),null==this.inputLength)return[].concat(T(e),[this.outputDim]);var t=Ese(this.inputLength);if(t.length!==e.length-1)throw new bse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new bse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(T(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);"int32"!==r.dtype&&(r=fue(r,"int32"));var a=Nue(n.embeddings.read(),W8(r,[r.size]));return W8(a,nce(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Zue(this.embeddingsInitializer),embeddingsRegularizer:zhe(this.embeddingsRegularizer),activityRegularizer:zhe(this.activityRegularizer),embeddingsConstraint:_ce(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);zpe.className="Embedding",Bre(zpe);var Ppe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return p(n,[{key:"mergeFunction",value:function(e){throw new xse}},{key:"computeElementwiseOpOutputShape",value:function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new bse("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[nce(e)]),e.length<2)throw new bse("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(e){r.e(e)}finally{r.f()}if((n=Mse(n)).length>1)throw new bse("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===Mse(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=lue(r),o=O(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=due(s,1);t.push(s)}}catch(e){o.e(e)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=O(e);try{for(p.s();!(l=p.n()).done;){var f=l.value,d=f.rank;if(null==d){var v=f.shape,m=v[0],g=v.slice(1).concat([m]),y=W8(f,[m].concat(uue(v.slice(1))));y=rne(y,[1,0]),y=W8(y,g),t.push(y),h=!0}else if(d>1){var b=hue(1,d).concat([0]);t.push(rne(f,b)),h=!0}else t.push(f)}}catch(e){p.e(e)}finally{p.f()}var x=n.mergeFunction(t),k=x.rank;if(h)if(null==k){var w=x.shape,I=w[w.length-1],N=[I].concat(w.slice(0,w.length-1));x=W8(rne(W8(x,[-1,I]),[1,0]),N)}else if(k>1){var S=[k-1].concat(hue(0,k-1));x=rne(x,S)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==e[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}var a,i=[],o=O(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(e){o.e(e)}finally{o.f()}return t=1===(i=Mse(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return e8((function(){if(null==t)return null;if(!Array.isArray(t))throw new bse("`mask` should be an Array");if(!Array.isArray(e))throw new bse("`inputs` should be an Array");if(t.length!==e.length)throw new bse("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:i9(e,0)})))[0],r=1;r<t.length-1;++r)n=F9(n,t[r]);return n}))}}]),n}(fce),Bpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return t}))}}]),n}(Ppe);Bpe.className="Add",Bre(Bpe);var Wpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=c8(t,e[n]);return t}))}}]),n}(Ppe);Wpe.className="Multiply",Bre(Wpe);var Vpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return c8(1/e.length,t)}))}}]),n}(Ppe);Vpe.className="Average",Bre(Vpe);var Upe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=G9(t,e[n]);return t}))}}]),n}(Ppe);Upe.className="Maximum",Bre(Upe);var Gpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=X9(t,e[n]);return t}))}}]),n}(Ppe);Gpe.className="Minimum",Bre(Gpe);var jpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new bse("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=O(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=O(a);try{for(c.s();!(s=c.n()).done;){if(P$(s.value,o)){u=!0;break}}}catch(e){c.e(e)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new bse("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return e8((function(){return bue(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new bse("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=O(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(e){i.e(e)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new bse("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new bse("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new bse("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return e8((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(X6(nee(e[i]),"bool")):t[i].rank<e[i].rank?a.push(i9(t[i],-1)):a.push(t[i]);var o=G8(a,n.axis);return d8(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ppe);function Hpe(e,t){for(;e<0;)e+=t;return e}jpe.className="Concatenate",Bre(jpe);var qpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new xse("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new bse("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new bse("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(e.length," input(s)."));var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return Hpe(t,e[n].shape.length)})):[Hpe(this.axes,n.shape.length),Hpe(this.axes,r.shape.length)],this.normalize&&(n=Yce(n,t[0]),r=Yce(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new xse("batchDot is not implemented for tensors of 4D or higher rank yet");if(F$(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),F$(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new xse("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return e8((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=W8(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=W8(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e9(c8(e,t),i[0]):e9(c8(rne(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=j8(e,t,h,p)}if(n>0){for(var f,d=[],v=f=r>a?r+a-3:r-1;v<f+n;++v)d.push(v);o=Ate(o,d)}return 1===o.shape.length&&(o=i9(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[Hpe(this.axes,e.length),Hpe(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new xse("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ppe);qpe.className="Dot",Bre(qpe);var Kpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);return Rue((function(){return o8(wue(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(fce);Kpe.className="GaussianNoise",Bre(Kpe);var Xpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if(n.rate>0&&n.rate<1){return Rue((function(){var e=Math.sqrt(n.rate/(1-n.rate));return c8(r,wue(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(fce);Xpe.className="GaussianDropout",Bre(Xpe);var Ype=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return p(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||tce(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return Rue((function(){var t=tce(e),a=-1.7580993408473766,i=p9(Zee(r),n.rate);i=fue(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=o8(c8(t,i),c8(o8(i,-1),a));return o8(c8(u,o),s)}),(function(){return tce(e)}),t.training||!1)}return e}))}}]),n}(fce);function Jpe(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=Z8(e,t,n,r,a,o);else if(3===e.rank)i=Q8(e,t,n,r,a,o);else{if(4!==e.rank)throw new xse("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=$8(e,t,n,r,a,o)}return i}function Zpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i=Z9(e,r),o=i.mean,s=i.variance;return[Jpe(e,o,s,n,t,a),o,s]}))}function Qpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i,o=Z9(e,r),s=o.mean,u=o.variance,c=[],l=O(hue(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(e){l.e(e)}finally{l.f()}var p=W8(s,c),f=W8(u,c),d=null==t?null:W8(t,c),v=null==n?null:W8(n,c);return[Jpe(e,p,f,v,d,a),s,u]}))}Ype.className="AlphaDropout",Bre(Ype);var $pe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Que(e.betaInitializer||"zeros"),r.gammaInitializer=Que(e.gammaInitializer||"ones"),r.movingMeanInitializer=Que(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=Que(e.movingVarianceInitializer||"ones"),r.betaConstraint=Fce(e.betaConstraint),r.gammaConstraint=Fce(e.gammaConstraint),r.betaRegularizer=Bhe(e.betaRegularizer),r.gammaRegularizer=Bhe(e.gammaRegularizer),r}return p(n,[{key:"build",value:function(e){e=nce(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new bse("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new uce({ndim:e.length,axes:f({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null!=t.training&&t.training,a=tce(e),i=a.shape,o=i.length,s=hue(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=Ise(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!P$(l,hue(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=W8(n.movingMean.read(),c),t=W8(n.movingVariance.read(),c),r=n.center?W8(n.beta.read(),c):null,i=n.scale?W8(n.gamma.read(),c):null;return Jpe(a,e,t,r,i,n.epsilon)}return Jpe(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var p=function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return P$(r.slice().sort(),hue(0,e.rank-1))?Zpe(e,t,n,r,a):Qpe(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=S(p,3),d=f[0],v=f[1],m=f[2],g=function(e,t,n){e8((function(){var r=1-n,a=e.read(),i=c8(R9(a,t),r);e.write(R9(a,i))}))};return g(n.movingMean,v,n.momentum),g(n.movingVariance,m,n.momentum),d}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Zue(this.betaInitializer),gammaInitializer:Zue(this.gammaInitializer),movingMeanInitializer:Zue(this.movingMeanInitializer),movingVarianceInitializer:Zue(this.movingVarianceInitializer),betaRegularizer:zhe(this.betaRegularizer),gammaRegularizer:zhe(this.gammaRegularizer),betaConstraint:_ce(this.betaConstraint),gammaConstraint:_ce(this.gammaConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);$pe.className="BatchNormalization",Bre($pe);var efe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"==typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,i=O(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(e){i.e(e)}finally{i.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Que(e.betaInitializer||"zeros"),r.gammaInitializer=Que(e.gammaInitializer||"ones"),r.betaRegularizer=Bhe(e.betaRegularizer),r.gammaRegularizer=Bhe(e.gammaRegularizer),r.supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);var r,a=O(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(e){a.e(e)}finally{a.f()}if(this.axis.length!==Mse(this.axis).length)throw new Error("Found duplicate axes in: ".concat(this.axis));var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=tce(e),a=r.shape,i=a.length;return e8((function(){var e,t=Z9(r,n.axis,!0),o=t.mean,s=t.variance,u=Ise(1,i),c=O(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(e){c.e(e)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?W8(e,u):e},p=n.scale?h(n.gamma.read()):null,f=n.center?h(n.beta.read()):null,d=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(d.push(a[m]),v.push(1)):(d.push(1),v.push(a[m]));return o=s9(o,d),s=s9(s,d),null!=p&&(p=s9(p,v)),null!=f&&(f=s9(f,v)),Jpe(r,o,s,f,p,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Zue(this.betaInitializer),gammaInitializer:Zue(this.gammaInitializer),betaRegularizer:zhe(this.betaRegularizer),gammaRegularizer:zhe(this.gammaRegularizer)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);efe.className="LayerNormalization",Bre(efe);var tfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new bse("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"==typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new bse("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new bse("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=nce(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}},{key:"call",value:function(e,t){var n=this;return e8((function(){return t=tce(e),r=n.padding,a=n.dataFormat,e8((function(){if(4!==t.rank)throw new bse("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(t.rank,"-D tensor."));if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new bse("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new bse("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],aee(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);function nfe(e,t,n,r,a,i){return e8((function(){var o;Qse(a),eue(i),$se(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Yhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?W9(e,t,n,s):V8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}function rfe(e,t,n,r,a,i){return e8((function(){var o;Qse(a),eue(i),$se(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Jhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?V9(e,t,n,s):U8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,4,1,2,3])),o}))}tfe.className="ZeroPadding2D",Bre(tfe);var afe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"==typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new bse("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(Bse(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"==typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new bse("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,$se(r.padding),r.inputSpec=[new uce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=Khe((e=nce(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t),e=due(tce(e),2);var r=n.poolingFunction(tce(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Ate(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),ife=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"max")}}]),n}(afe);ife.className="MaxPooling1D",Bre(ife);var ofe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"avg")}}]),n}(afe);ofe.className="AveragePooling1D",Bre(ofe);var sfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new bse("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return Bse(r.poolSize,"poolSize"),Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),$se(r.padding),r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Khe(t,this.poolSize[0],this.padding,this.strides[0]),n=Khe(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(tce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),ufe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"max")}}]),n}(sfe);ufe.className="MaxPooling2D",Bre(ufe);var cfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"avg")}}]),n}(sfe);cfe.className="AveragePooling2D",Bre(cfe);var lfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new bse("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return Bse(r.poolSize,"poolSize"),Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),$se(r.padding),r.inputSpec=[new uce({ndim:5})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=Khe(t,this.poolSize[0],this.padding,this.strides[0]),n=Khe(n,this.poolSize[1],this.padding,this.strides[1]),r=Khe(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(tce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),hfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),rfe(e,t,n,r,a,"max")}}]),n}(lfe);hfe.className="MaxPooling3D",Bre(hfe);var pfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),rfe(e,t,n,r,a,"avg")}}]),n}(lfe);pfe.className="AveragePooling3D",Bre(pfe);var ffe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new xse}}]),n}(fce),dfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=tce(e);return j9(t,1)}))}}]),n}(ffe);dfe.className="GlobalAveragePooling1D",Bre(dfe);var vfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=tce(e);return X7(t,1)}))}}]),n}(ffe);vfe.className="GlobalMaxPooling1D",Bre(vfe);var mfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new xse}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),gfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);return"channelsLast"===n.dataFormat?j9(t,[1,2]):j9(t,[2,3])}))}}]),n}(mfe);gfe.className="GlobalAveragePooling2D",Bre(gfe);var yfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);return"channelsLast"===n.dataFormat?X7(t,[1,2]):X7(t,[2,3])}))}}]),n}(mfe);yfe.className="GlobalMaxPooling2D",Bre(yfe);var bfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).layer=e.layer,r}return p(n,[{key:"build",value:function(e){this.built=!0}},{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=Xce(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(fce),xfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<3)throw new bse("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),N(v(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=nce(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return e8((function(){return fpe((function(e,r){return[tce(n.layer.call(e,t)),[]]}),e=tce(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(bfe);xfe.className="TimeDistributed",Bre(xfe);var kfe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=Xce(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=Xce(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,zse(Jse,"BidirectionalMergeMode",o),e.weights)throw new xse("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return p(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):Tse(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=ppe(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return N(v(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new bse("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,T(r));var c=r.map((function(e){return new uce({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,T(c))}if(null!=a)throw new xse("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof cce,h=0,p=o;h<p.length;h++){if(p[h]instanceof cce!==l)throw new bse("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=N(v(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=m,g}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=ate(a,1)),"concat"===n.mergeMode?o=bue([r,a]):"sum"===n.mergeMode?o=o8(r,a):"ave"===n.mergeMode?o=c8(.5,o8(r,a)):"mul"===n.mergeMode?o=c8(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;nue(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),nue(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=Xce(t.layer);if(delete t.layer,null!=t.numConstants)throw new xse("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(bfe);kfe.className="Bidirectional",Bre(kfe);var wfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return p(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){return"float32"!==(e=tce(e)).dtype&&(e=fue(e,"float32")),o8(c8(e,n.scale),n.offset)}))}}]),n}(fce);wfe.className="Rescaling",Bre(wfe);var Ife=Rre.resizeBilinear,Nfe=Rre.cropAndResize,Sfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return p(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return e8((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=Rte([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var f=U5(h,[h.length,4]),d=$ee(0,h.length,1,"int32"),v=Nfe(u,f,d,[r,a],"nearest");return fue(c?tce(Yte(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return e8((function(){return fue(Ife(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e),r=t.dtype,a=t.shape,i=a[a.length-3],o=a[a.length-2],s=0;i!==n.height&&(s=Math.floor((i-n.height)/2));var u=0;return o!==n.width&&0===(u=Math.floor((o-n.width)/2))&&(u=1),s>=0&&u>=0?n.centerCrop(t,s,u,n.height,n.width,i,o,r):n.upsize(e,n.height,n.width,r)}))}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(fce);Sfe.className="CenterCrop",Bre(Sfe);var Tfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return p(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=nce(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r;if("int32"!==(e=tce(e)).dtype&&(e=fue(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new bse("countWeights is not used when outputMode !== count.\n              Received countWeights=".concat(t.countWeights));r=tce(t.countWeights)}var a=X7(e),i=Y7(e),o=h9(n.numTokens,a).bufferSync().get(0),s=p9(i,0).bufferSync().get(0);if(!o||!s)throw new bse("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=tce(e);if("int32"!==a.dtype&&(a=fue(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=i9(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=i9(a,-1)),a.rank>2)throw new bse("When outputMode is not int, maximum output rank is 2"+" Received outputMode ".concat(t," and input shape ").concat(i)+" which would result in output rank ".concat(a.rank,"."));var o,s=["multiHot","oneHot"].includes(t);if(o=w7(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return c8(o,r);throw new bse("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(fce);Tfe.className="CategoryEncoding",Bre(Tfe);var Efe=new Set(["bilinear","nearest"]),Cfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!Efe.has(e.interpolation))throw new bse("Invalid interpolation parameter: ".concat(e.interpolation," is not implemented"));r.interpolation=e.interpolation}else r.interpolation="bilinear";return r.cropToAspectRatio=Boolean(e.cropToAspectRatio),r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=nce(e))[2];return[this.height,this.width,t]}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return Rre.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return Rre.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(T(Efe)," are supported"))}))}}]),n}(fce);Cfe.className="Resizing",Bre(Cfe);var Afe=function(){function e(t){l(this,e),this.seed=t}return p(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();Afe.className="RandomSeed";var Rfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).randomGenerator=new Afe(e.seed),r}return p(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Rfe.className="BaseRandomLayer";var _fe=new Set(["bilinear","nearest"]),Ofe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.factor,i=e.interpolation,o=void 0===i?"bilinear":i;if(r.factor=a,Array.isArray(r.factor)&&2===r.factor.length)r.widthLower=r.factor[0],r.widthUpper=r.factor[1];else{if(Array.isArray(r.factor)||!(r.factor>0))throw new bse("Invalid factor: ".concat(r.factor,". Must be positive number or tuple of 2 numbers"));r.widthLower=-r.factor,r.widthUpper=r.factor}if(r.widthLower<-1||r.widthUpper<-1)throw new bse("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new bse("factor cannot have upper bound less than lower bound.\n        Got upper bound: ".concat(r.widthUpper,".\n        Got lower bound: ").concat(r.widthLower,"\n      "));if(o){if(!_fe.has(o))throw new bse("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return p(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=Zee([1],1+n.widthLower,1+n.widthUpper,"float32",n.randomGenerator.next());var a=n.widthFactor.dataSync()[0]*r;a=Math.round(a);var i=[n.imgHeight,a];switch(n.interpolation){case"bilinear":return Rre.resizeBilinear(e,i);case"nearest":return Rre.resizeNearestNeighbor(e,i);default:throw new Error("Interpolation is ".concat(n.interpolation,"\n          but only ").concat(T(_fe)," are supported"))}}))}}]),n}(Rfe);function Ffe(e){return new ofe(e)}function Dfe(e){return new cfe(e)}function Mfe(e){return new pfe(e)}function Lfe(e){return new vfe(e)}function zfe(e){return new yfe(e)}function Pfe(e){return new ife(e)}function Bfe(e){return new ufe(e)}Ofe.className="RandomWidth",Bre(Ofe);var Wfe={__proto__:null,Layer:fce,RNN:dpe,RNNCell:vpe,activation:function(e){return new Ope(e)},add:function(e){return new Bpe(e)},alphaDropout:function(e){return new Ype(e)},average:function(e){return new Vpe(e)},averagePooling1d:Ffe,averagePooling2d:Dfe,averagePooling3d:Mfe,avgPool1d:function(e){return Ffe(e)},avgPool2d:function(e){return Dfe(e)},avgPool3d:function(e){return Mfe(e)},avgPooling1d:function(e){return Ffe(e)},avgPooling2d:function(e){return Dfe(e)},avgPooling3d:function(e){return Mfe(e)},batchNormalization:function(e){return new $pe(e)},bidirectional:function(e){return new kfe(e)},categoryEncoding:function(e){return new Tfe(e)},centerCrop:function(e){return new Sfe(e)},concatenate:function(e){return new jpe(e)},conv1d:function(e){return new upe(e)},conv2d:function(e){return new npe(e)},conv2dTranspose:function(e){return new ape(e)},conv3d:function(e){return new rpe(e)},conv3dTranspose:function(e){return new ipe(e)},convLstm2d:function(e){return new Epe(e)},convLstm2dCell:function(e){return new Tpe(e)},cropping2D:function(e){return new cpe(e)},dense:function(e){return new Rpe(e)},depthwiseConv2d:function(e){return new hpe(e)},dot:function(e){return new qpe(e)},dropout:function(e){return new Cpe(e)},elu:function(e){return new Ghe(e)},embedding:function(e){return new zpe(e)},flatten:function(e){return new _pe(e)},gaussianDropout:function(e){return new Xpe(e)},gaussianNoise:function(e){return new Kpe(e)},globalAveragePooling1d:function(e){return new dfe(e)},globalAveragePooling2d:function(e){return new gfe(e)},globalMaxPool1d:Lfe,globalMaxPool2d:zfe,globalMaxPooling1d:Lfe,globalMaxPooling2d:zfe,gru:function(e){return new bpe(e)},gruCell:function(e){return new ype(e)},input:dhe,inputLayer:function(e){return new vce(e)},layerNormalization:function(e){return new efe(e)},leakyReLU:function(e){return new Vhe(e)},lstm:function(e){return new kpe(e)},lstmCell:function(e){return new xpe(e)},masking:function(e){return new Lpe(e)},maxPool1d:Pfe,maxPool2d:Bfe,maxPooling1d:Pfe,maxPooling2d:Bfe,maxPooling3d:function(e){return new hfe(e)},maximum:function(e){return new Upe(e)},minimum:function(e){return new Gpe(e)},multiply:function(e){return new Wpe(e)},permute:function(e){return new Mpe(e)},prelu:function(e){return new Uhe(e)},randomWidth:function(e){return new Ofe(e)},reLU:function(e){return new Whe(e)},repeatVector:function(e){return new Fpe(e)},rescaling:function(e){return new wfe(e)},reshape:function(e){return new Dpe(e)},resizing:function(e){return new Cfe(e)},rnn:function(e){return new dpe(e)},separableConv2d:function(e){return new spe(e)},simpleRNN:function(e){return new gpe(e)},simpleRNNCell:function(e){return new mpe(e)},softmax:function(e){return new Hhe(e)},spatialDropout1d:function(e){return new Ape(e)},stackedRNNCells:function(e){return new wpe(e)},thresholdedReLU:function(e){return new jhe(e)},timeDistributed:function(e){return new xfe(e)},upSampling2d:function(e){return new lpe(e)},zeroPadding2d:function(e){return new tfe(e)}};var Vfe={__proto__:null,MAPE:function(e,t){return Qce(e,t)},MSE:function(e,t){return Jce(e,t)},binaryAccuracy:function(e,t){return sle(e,t)},binaryCrossentropy:function(e,t){return ple(e,t)},categoricalAccuracy:function(e,t){return ule(e,t)},categoricalCrossentropy:function(e,t){return dle(e,t)},cosineProximity:function(e,t){return ale(e,t)},mape:function(e,t){return Qce(e,t)},meanAbsoluteError:function(e,t){return Zce(e,t)},meanAbsolutePercentageError:function(e,t){return Qce(e,t)},meanSquaredError:function(e,t){return Jce(e,t)},mse:function(e,t){return Jce(e,t)},precision:function(e,t){return lle(e,t)},recall:function(e,t){return hle(e,t)},sparseCategoricalAccuracy:function(e,t){return fle(e,t)}},Ufe={__proto__:null,modelFromJSON:function(e,t){return uhe.apply(this,arguments)}};var Gfe={__proto__:null,l1:function(e){return Fhe(t=e),new Mhe({l1:null!=t?t.l1:null,l2:0});var t},l1l2:function(e){return new Mhe(e)},l2:function(e){return Fhe(t=e),new Mhe({l2:null!=t?t.l2:null,l1:0});var t}},jfe=function(e){d(n,e);var t=w(n);function n(){var e;return l(this,n),(e=t.apply(this,arguments)).model=null,e}return p(n,[{key:"setModel",value:function(e){if(!(e instanceof ohe))throw new Error("model must be a LayersModel, not some other Container");this.model=e}}]),n}(Wce);function Hfe(e,t){return e<t}function qfe(e,t){return e>t}var Kfe=function(e){d(i,e);var t,n,r,a=w(i);function i(e){var t;if(l(this,i),t=a.call(this),null==e&&(e={}),e.restoreBestWeights)throw new xse("restoreBestWeights = True is not implemented in EarlyStopping yet.");return t.monitor=e.monitor||"val_loss",t.minDelta=Math.abs(e.minDelta||0),t.patience=e.patience||0,t.verbose=e.verbose||0,t.mode=e.mode||"auto",t.baseline=e.baseline,-1===["auto","min","max"].indexOf(t.mode)&&(console.warn("EarlyStopping mode '".concat(t.mode,"' is invalid. ")+"Falling back to mode 'auto'."),t.mode="auto"),"min"===t.mode?t.monitorFunc=Hfe:"max"===t.mode||-1!==t.monitor.indexOf("acc")?t.monitorFunc=qfe:t.monitorFunc=Hfe,t.monitorFunc===Hfe&&(t.minDelta*=-1),t}return p(i,[{key:"onTrainBegin",value:(r=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===Hfe?1/0:-1/0;case 3:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"onEpochEnd",value:(n=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,zce(n);case 2:if(null!=(r=this.getMonitorValue(n))){e.next=5;break}return e.abrupt("return");case 5:this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0));case 6:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"onTrainEnd",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.stoppedEpoch>0&&this.verbose&&console.log("Epoch ".concat(this.stoppedEpoch,": early stopping."));case 1:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getMonitorValue",value:function(e){null==e&&(e={});var t=e[this.monitor];return null==t&&console.warn("Metric for EarlyStopping ".concat(this.monitor," is not available. ")+"Available metrics are: ".concat(Object.keys(e))),t}}]),i}(jfe);var Xfe,Yfe,Jfe={earlyStopping:function(e){return new Kfe(e)}};k0().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. 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c="".concat(i,":").concat(u);t.inputNames[n]=c}}t.inputs.push(s),s.children.push(t)}))}));var s=e.ret;e.signature.outputArg.forEach((function(e){var t=S(nde(s[e.name]),2),n=t[0],r=t[1],i=a[n];null!=i&&(i.defaultOutput=r,o.push(i))}));var u=this.mapArgsToSignature(e);return{nodes:a,inputs:i,outputs:o,weights:r,placeholders:[],signature:u}}},{key:"mapArgsToSignature",value:function(e){var t=this;return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((function(e,n){return e[n.name]=t.mapArgToTensorInfo(n),e}),{}),outputs:e.signature.outputArg.reduce((function(n,r){return n[r.name]=t.mapArgToTensorInfo(r,e.ret),n}),{})}}},{key:"mapArgToTensorInfo",value:function(e,t){var n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}],[{key:"Instance",get:function(){return this._instance||(this._instance=new this)}}]),e}();function Ede(e,t){var n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){var t=k0().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function Cde(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return null!=a?Ede(a.s,r):n}function Ade(e,t,n){var r=e[t];return r?r.b:n}function Rde(e,t,n){var r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function _de(e){switch("string"==typeof e&&(e=Xfe[e]),e){case Xfe.DT_FLOAT:case Xfe.DT_HALF:return"float32";case Xfe.DT_INT32:case Xfe.DT_INT64:case Xfe.DT_INT8:case Xfe.DT_UINT8:return"int32";case Xfe.DT_BOOL:return"bool";case Xfe.DT_DOUBLE:return"float32";case Xfe.DT_STRING:return"string";default:return null}}function Ode(e,t,n){var r=e[t];return r&&r.func?r.func.name:n}function Fde(e,t,n){var r=e[t];return r&&r.type?_de(r.type):n}function Dde(e,t,n){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map((function(e){return _de(e)})):n}function Mde(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((function(e){return"number"==typeof e.size?e.size:parseInt(e.size,10)})):[]}function Lde(e,t,n){var r=e[t];return r&&r.shape?Mde(r.shape):n}function zde(e,t,n){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((function(e){return"number"==typeof e?e:parseInt(e,10)})):n}function Pde(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return a&&a.list&&a.list.s?a.list.s.map((function(e){return Ede(e,r)})):n}function Bde(e,t,n){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((function(e){return Mde(e)})):n}function Wde(e,t,n){var r=e[t];return r&&r.list&&r.list.b?r.list.b:n}var Vde=function(){function e(t,n,r){var a=this;l(this,e),this.node=t,this.tensorMap=n,this.context=r,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map((function(e){return a.getInput(e)})),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce((function(e,t){return e[t]=a.getAttr(t),e}),{}))}return p(e,[{key:"getInput",value:function(e){return ede(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return ede(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Rde(this.node.rawAttrs,e,t);if(null!=n.s)return Cde(this.node.rawAttrs,e,t);if(null!=n.b)return Ade(this.node.rawAttrs,e,t);if(null!=n.shape)return Lde(this.node.rawAttrs,e,t);if(null!=n.type)return Fde(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return zde(this.node.rawAttrs,e,t);if(null!=n.list.s)return Pde(this.node.rawAttrs,e,t);if(null!=n.list.shape)return Bde(this.node.rawAttrs,e,t);if(null!=n.list.b)return Wde(this.node.rawAttrs,e,t);if(null!=n.list.type)return Dde(this.node.rawAttrs,e,t)}return t}}]),e}(),Ude={__proto__:null,OP_SCOPE_SUFFIX:P5,abs:l8,acos:h8,acosh:p8,add:o8,addN:f8,all:d8,any:v8,argMax:m8,argMin:g8,asin:y8,asinh:b8,atan:x8,atan2:k8,atanh:w8,avgPool:V8,avgPool3d:U8,basicLSTMCell:X8,batchNorm:J8,batchNorm2d:Z8,batchNorm3d:Q8,batchNorm4d:$8,batchToSpaceND:Y8,bincount:e7,bitwiseAnd:t7,booleanMaskAsync:nne,broadcastArgs:n7,broadcastTo:r7,buffer:K6,cast:X6,ceil:a7,clipByValue:o7,clone:Y6,complex:W5,concat:G8,concat1d:s7,concat2d:u7,concat3d:c7,concat4d:l7,conv1d:p7,conv2d:h7,conv2dTranspose:d7,conv3d:v7,conv3dTranspose:g7,cos:y7,cosh:b7,cosineWindow:hne,cumprod:x7,cumsum:k7,denseBincount:w7,depthToSpace:I7,depthwiseConv2d:N7,diag:S7,dilation2d:T7,div:u8,divNoNan:D7,dot:M7,dropout:cne,einsum:L7,elu:z7,enclosingPowerOfTwo:lne,ensureShape:P7,equal:_7,erf:B7,euclideanNorm:r9,exp:a9,expandDims:i9,expm1:o9,eye:u9,fft:Ite,fill:i7,floor:c9,floorDiv:s8,fused:Nne,gather:l9,gatherND:une,greater:h9,greaterEqual:p9,ifft:Nte,imag:f9,image:Rre,inTopKAsync:fne,irfft:Ste,isFinite:d9,isInf:v9,isNaN:m9,leakyRelu:g9,less:y9,lessEqual:b9,linalg:_re,linspace:x9,localResponseNormalization:k9,log:w9,log1p:I9,logSigmoid:A9,logSoftmax:_9,logSumExp:O9,logicalAnd:F9,logicalNot:D9,logicalOr:M9,logicalXor:L9,losses:Ore,lowerBound:B9,matMul:j8,max:X7,maxPool:W9,maxPool3d:V9,maxPoolWithArgmax:U9,maximum:G9,mean:j9,meshgrid:K9,min:Y7,minimum:X9,mirrorPad:Y9,mod:J9,moments:Z9,movingAverage:ane,mul:c8,multiRNNCell:Q9,multinomial:$9,neg:E9,norm:n9,notEqual:eee,oneHot:tee,ones:q9,onesLike:nee,op:B5,outerProduct:ree,pad:aee,pad1d:iee,pad2d:oee,pad3d:see,pad4d:uee,pool:lee,pow:J7,prelu:hee,print:J6,prod:pee,raggedGather:fee,raggedRange:dee,raggedTensorToTensor:vee,rand:mee,randomGamma:Xee,randomNormal:Yee,randomStandardNormal:Jee,randomUniform:Zee,randomUniformInt:Qee,range:$ee,real:ete,reciprocal:tte,relu:nte,relu6:rte,reshape:W8,reverse:ate,reverse1d:ite,reverse2d:ote,reverse3d:ste,reverse4d:ute,rfft:Ete,round:cte,rsqrt:lte,scalar:Z7,scatterND:ine,searchSorted:P9,selu:hte,separableConv2d:pte,setdiff1dAsync:dte,sigmoid:H8,sign:vte,signal:Are,sin:mte,sinh:gte,slice:q8,slice1d:yte,slice2d:bte,slice3d:xte,slice4d:kte,softmax:wte,softplus:C9,spaceToBatchND:cee,sparse:Fre,sparseToDense:sne,spectral:Cre,split:Tte,sqrt:Q7,square:$7,squaredDifference:Cte,squeeze:Ate,stack:Rte,step:_te,stridedSlice:Ote,string:Dre,sub:R9,sum:e9,tan:Fte,tanh:K8,tensor:U5,tensor1d:Dte,tensor2d:Mte,tensor3d:Lte,tensor4d:zte,tensor5d:Pte,tensor6d:Bte,tensorScatterUpdate:jte,tile:s9,topk:Hte,transpose:rne,truncatedNormal:qte,unique:Kte,unsortedSegmentSum:Xte,unstack:Yte,upperBound:Jte,variable:Zte,where:O7,whereAsync:ene,zeros:H9,zerosLike:F7},Gde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add($fe("a",e,t,n),$fe("b",e,t,n))];case"AddN":return[r.addN($fe("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod($fe("a",e,t,n),$fe("b",e,t,n))];case"Mul":return[r.mul($fe("a",e,t,n),$fe("b",e,t,n))];case"RealDiv":case"Div":return[r.div($fe("a",e,t,n),$fe("b",e,t,n))];case"DivNoNan":return[r.divNoNan($fe("a",e,t,n),$fe("b",e,t,n))];case"FloorDiv":return[r.floorDiv($fe("a",e,t,n),$fe("b",e,t,n))];case"Sub":return[r.sub($fe("a",e,t,n),$fe("b",e,t,n))];case"Minimum":return[r.minimum($fe("a",e,t,n),$fe("b",e,t,n))];case"Maximum":return[r.maximum($fe("a",e,t,n),$fe("b",e,t,n))];case"Pow":return[r.pow($fe("a",e,t,n),$fe("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference($fe("a",e,t,n),$fe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},jde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Abs":case"ComplexAbs":return[r.abs($fe("x",e,t,n))];case"Acos":return[r.acos($fe("x",e,t,n))];case"Acosh":return[r.acosh($fe("x",e,t,n))];case"Asin":return[r.asin($fe("x",e,t,n))];case"Asinh":return[r.asinh($fe("x",e,t,n))];case"Atan":return[r.atan($fe("x",e,t,n))];case"Atan2":return[r.atan2($fe("x",e,t,n),$fe("y",e,t,n))];case"Atanh":return[r.atanh($fe("x",e,t,n))];case"Ceil":return[r.ceil($fe("x",e,t,n))];case"Complex":return[r.complex($fe("real",e,t,n),$fe("imag",e,t,n))];case"Cos":return[r.cos($fe("x",e,t,n))];case"Cosh":return[r.cosh($fe("x",e,t,n))];case"Elu":return[r.elu($fe("x",e,t,n))];case"Erf":return[r.erf($fe("x",e,t,n))];case"Exp":return[r.exp($fe("x",e,t,n))];case"Expm1":return[r.expm1($fe("x",e,t,n))];case"Floor":return[r.floor($fe("x",e,t,n))];case"Log":return[r.log($fe("x",e,t,n))];case"Log1p":return[r.log1p($fe("x",e,t,n))];case"Imag":return[r.imag($fe("x",e,t,n))];case"Neg":return[r.neg($fe("x",e,t,n))];case"Reciprocal":return[r.reciprocal($fe("x",e,t,n))];case"Real":return[r.real($fe("x",e,t,n))];case"Relu":return[r.relu($fe("x",e,t,n))];case"Round":return[r.round($fe("x",e,t,n))];case"Selu":return[r.selu($fe("x",e,t,n))];case"Sigmoid":return[r.sigmoid($fe("x",e,t,n))];case"Sin":return[r.sin($fe("x",e,t,n))];case"Sign":return[r.sign($fe("x",e,t,n))];case"Sinh":return[r.sinh($fe("x",e,t,n))];case"Softplus":return[r.softplus($fe("x",e,t,n))];case"Sqrt":return[r.sqrt($fe("x",e,t,n))];case"Square":return[r.square($fe("x",e,t,n))];case"Tanh":return[r.tanh($fe("x",e,t,n))];case"Tan":return[r.tan($fe("x",e,t,n))];case"ClipByValue":return[r.clipByValue($fe("x",e,t,n),$fe("clipValueMin",e,t,n),$fe("clipValueMax",e,t,n))];case"Relu6":return[r.relu6($fe("x",e,t,n))];case"Rsqrt":return[r.rsqrt(ede(e.inputNames[0],t,n))];case"LeakyRelu":return[r.leakyRelu($fe("x",e,t,n),$fe("alpha",e,t,n))];case"Prelu":return[r.prelu($fe("x",e,t,n),$fe("alpha",e,t,n))];case"IsNan":return[r.isNaN(ede(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(ede(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(ede(e.inputNames[0],t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function Hde(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!=typeof e&&"number"!=typeof t){F$(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];F$(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function qde(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function Kde(e,t,n){var r=Xde(e,n),a=!qde(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=Xde(e.shape,r)})),!qde(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function Xde(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. ").concat(t));for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: ".concat(e," vs. ").concat(t));n[r]=a>=0?a:i}return n}var Yde=function(){function e(t,n,r,a,i,o,s){l(this,e),this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.idTensor=Z7(0),n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"read",value:function(e){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||e>=this.size())throw new Error("Tried to read from index ".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n          because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),Hde(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,n8(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return U5([],[0].concat(this.elementShape));var r=this.readMany(e);return Hde(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Rte(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return U5([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return Hde(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),G8(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,T(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n,"  vs. ").concat(this.maxSize,")"));this.writeMany(e,Yte(t,0))}},{key:"split",value:function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(t.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];e8((function(){t=W8(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,e[s],i];o[s]=W8(q8(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),Jde=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;l(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Hde(n,e.shape,"TensorList shape mismatch: "),n8(e)})),this.idTensor=Z7(0),this.maxNumElements=a,n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(T(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));Hde(e,this.elementShape,"TensorList shape mismatch: ");var a=Kde(this.elementShape,this.tensors,e);return e8((function(){var e=n.tensors.map((function(e){return W8(e,a)}));return Rte(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=Kde(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,Hde(r.shape,e,"TensorList shape mismatch: "),W8(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(Hde(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");n8(e),this.tensors.push(e)}},{key:"resize",value:function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(t));if(-1!==this.maxNumElements&&t>this.maxNumElements)throw new Error("TensorListResize input size ".concat(t," is greater maxNumElement ").concat(this.maxNumElements,"."));var n=new e([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(var r=0;r<Math.min(this.tensors.length,t);++r)n.tensors[r]=this.tensors[r];return n}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));Hde(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=Kde(this.elementShape,this.tensors,t);return W8(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));Hde(this.elementShape,t.shape,"TensorList shape mismatch: "),n8(t),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));Hde(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=Kde(this.elementShape,this.tensors,n);return 0===e.length?U5([],[0].concat(a)):e8((function(){var t=e.map((function(e){return W8(r.tensors[e],a)}));return Rte(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));Hde(this.elementShape,t,"TensorList shape mismatch: ");var r=Kde(this.elementShape,this.tensors,t);return 0===this.size()?U5([],[0].concat(r)):e8((function(){var e=n.tensors.map((function(e){return W8(e,r)}));return G8(e,0)}))}}]),e}();function Zde(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));Hde(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=Yte(e);return new Jde(a,t,r)}function Qde(e,t,n,r){return new Jde([],e,t,r)}function $de(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,T(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a,"  vs. ").concat(r,")"));var i=new Jde([],n,e.dtype,r),o=Yte(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function eve(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(e.shape));for(var i=Xde(e.shape.slice(1),n),o=0===r?0:e.size/r,s=e8((function(){var n=[];e=W8(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,t[s],o];n[s]=W8(q8(e,u,c),i)}return e.dispose(),n})),u=new Jde([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var tve=function(){var e=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z,P,B,W,V,U,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,fe,de,ve,me,ge,ye,be,xe,ke,we,Ie,Ne,Se,Te,Ee,Ce,Ae,Re,_e,Oe,Fe,De,Me,Le,ze,Pe,Be,We,Ve,Ue,Ge,je,He,qe,Ke,Xe,Ye,Je,Ze,Qe,$e,et,tt,nt,rt,at,it,ot;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?33:"Switch"===e.t0?35:"Merge"===e.t0?46:"Enter"===e.t0?51:"Exit"===e.t0?55:"NextIteration"===e.t0?58:"TensorArrayV3"===e.t0?61:"TensorArrayWriteV3"===e.t0?71:"TensorArrayReadV3"===e.t0?77:"TensorArrayGatherV3"===e.t0?81:"TensorArrayScatterV3"===e.t0?86:"TensorArrayConcatV3"===e.t0?92:"TensorArraySplitV3"===e.t0?96:"TensorArraySizeV3"===e.t0?102:"TensorArrayCloseV3"===e.t0?105:"TensorListSetItem"===e.t0?109:"TensorListGetItem"===e.t0?115:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?121:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?128:"TensorListGather"===e.t0?136:"TensorListStack"===e.t0?142:"TensorListFromTensor"===e.t0?148:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?154:"TensorListPushBack"===e.t0?159:"TensorListPopBack"===e.t0?164:"TensorListSplit"===e.t0?169:"TensorListLength"===e.t0?175:"TensorListResize"===e.t0?178:184;break;case 3:return a=$fe("thenBranch",t,n,r),i=$fe("elseBranch",t,n,r),s=$fe("cond",t,n,r),u=$fe("args",t,n,r),e.next=9,s.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 15:return c=$fe("body",t,n,r),l=$fe("cond",t,n,r),h=$fe("args",t,n,r),e.next=20,r.functionMap[l].executeFunctionAsync(h,r.tensorArrayMap,r.tensorListMap);case 20:return p=e.sent,f=h.map((function(e){return e.id})),e.next=24,p[0].data();case 24:d=e.sent,p.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||e.dispose()})),v=h,m=o().mark((function e(){var t,n,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=v,e.next=3,r.functionMap[c].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 3:return v=e.sent,n=v.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[l].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 8:return a=e.sent,e.next=11,a[0].data();case 11:d=e.sent,a.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 28:if(!d[0]){e.next=32;break}return e.delegateYield(m(),"t1",30);case 30:e.next=28;break;case 32:return e.abrupt("return",v);case 33:return g=$fe("pred",t,n,r),e.abrupt("return",[ode(g)]);case 35:return y=$fe("pred",t,n,r),(b=$fe("data",t,n,r)).kept||(b=ode(b)),e.next=40,y.data();case 40:if(!e.sent[0]){e.next=44;break}e.t2=[void 0,b],e.next=45;break;case 44:e.t2=[b,void 0];case 45:return e.abrupt("return",e.t2);case 46:if(x=t.inputNames.find((function(e){return void 0!==ede(e,n,r)})),!x){e.next=50;break}return k=ede(x,n,r),e.abrupt("return",[ode(k)]);case 50:return e.abrupt("return",void 0);case 51:return w=$fe("frameName",t,n,r),I=$fe("tensor",t,n,r),r.enterFrame(w),e.abrupt("return",[ode(I)]);case 55:return N=$fe("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[ode(N)]);case 58:return S=$fe("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[ode(S)]);case 61:return T=$fe("size",t,n,r),E=$fe("dtype",t,n,r),C=$fe("elementShape",t,n,r),A=$fe("dynamicSize",t,n,r),R=$fe("clearAfterRead",t,n,r),_=$fe("identicalElementShapes",t,n,r),O=$fe("name",t,n,r),F=new Yde(O,E,T,C,_,A,R),r.addTensorArray(F),e.abrupt("return",[F.idTensor,Z7(1)]);case 71:return D=$fe("tensorArrayId",t,n,r),M=$fe("index",t,n,r),L=$fe("tensor",t,n,r),(z=r.getTensorArray(D.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=$fe("tensorArrayId",t,n,r),B=$fe("index",t,n,r),W=r.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return V=$fe("tensorArrayId",t,n,r),U=$fe("indices",t,n,r),G=$fe("dtype",t,n,r),j=r.getTensorArray(V.id),e.abrupt("return",[j.gather(U,G)]);case 86:return H=$fe("tensorArrayId",t,n,r),q=$fe("indices",t,n,r),K=$fe("tensor",t,n,r),(X=r.getTensorArray(H.id)).scatter(q,K),e.abrupt("return",[X.idTensor]);case 92:return Y=$fe("tensorArrayId",t,n,r),J=r.getTensorArray(Y.id),Z=$fe("dtype",t,n,r),e.abrupt("return",[J.concat(Z)]);case 96:return Q=$fe("tensorArrayId",t,n,r),$=$fe("tensor",t,n,r),ee=$fe("lengths",t,n,r),(te=r.getTensorArray(Q.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=$fe("tensorArrayId",t,n,r),re=r.getTensorArray(ne.id),e.abrupt("return",[Z7(re.size(),"int32")]);case 105:return ae=$fe("tensorArrayId",t,n,r),(ie=r.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=$fe("tensorListId",t,n,r),se=$fe("index",t,n,r),ue=$fe("tensor",t,n,r),(ce=r.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=$fe("tensorListId",t,n,r),he=$fe("index",t,n,r),pe=$fe("elementShape",t,n,r),fe=$fe("elementDType",t,n,r),de=r.getTensorList(le.id),e.abrupt("return",[de.getItem(he,pe,fe)]);case 121:return ve=$fe("indices",t,n,r),me=$fe("tensor",t,n,r),ge=$fe("elementShape",t,n,r),ye=$fe("numElements",t,n,r),be=$de(me,ve,ge,ye),r.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return xe=$fe("elementShape",t,n,r),ke=$fe("elementDType",t,n,r),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Ie=$fe(we,t,n,r),Ne="TensorListReserve"===t.op?-1:Ie,Se=Qde(xe,ke,0,Ne),r.addTensorList(Se),e.abrupt("return",[Se.idTensor]);case 136:return Te=$fe("tensorListId",t,n,r),Ee=$fe("indices",t,n,r),Ce=$fe("elementShape",t,n,r),Ae=$fe("elementDType",t,n,r),Re=r.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ee,Ae,Ce)]);case 142:return _e=$fe("tensorListId",t,n,r),Oe=$fe("elementShape",t,n,r),Fe=$fe("elementDType",t,n,r),De=$fe("numElements",t,n,r),Me=r.getTensorList(_e.id),e.abrupt("return",[Me.stack(Oe,Fe,De)]);case 148:return Le=$fe("tensor",t,n,r),ze=$fe("elementShape",t,n,r),Pe=$fe("elementDType",t,n,r),Be=Zde(Le,ze,Pe),r.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=$fe("tensorListId",t,n,r),Ve=r.getTensorList(We.id),Ue=$fe("dtype",t,n,r),Ge=$fe("elementShape",t,n,r),e.abrupt("return",[Ve.concat(Ue,Ge)]);case 159:return je=$fe("tensorListId",t,n,r),He=$fe("tensor",t,n,r),(qe=r.getTensorList(je.id)).pushBack(He),e.abrupt("return",[qe.idTensor]);case 164:return Ke=$fe("tensorListId",t,n,r),Xe=$fe("elementShape",t,n,r),Ye=$fe("elementDType",t,n,r),Je=r.getTensorList(Ke.id),e.abrupt("return",[Je.popBack(Xe,Ye)]);case 169:return Ze=$fe("tensor",t,n,r),Qe=$fe("elementShape",t,n,r),$e=$fe("lengths",t,n,r),et=eve(Ze,$e,Qe),r.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=$fe("tensorListId",t,n,r),nt=r.getTensorList(tt.id),e.abrupt("return",[Z7(nt.size(),"int32")]);case 178:return rt=$fe("tensorListId",t,n,r),at=$fe("size",t,n,r),it=r.getTensorList(rt.id),ot=it.resize(at),r.addTensorList(ot),e.abrupt("return",[ot.idTensor]);case 184:throw TypeError("Node type ".concat(t.op," is not implemented"));case 185:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function nve(e,t,n){var r=S($fe("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=$fe("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var h=$fe("strides",e,t,n),p=ide(e,t,n),f=$fe("dataFormat",e,t,n).toUpperCase(),d=$fe("dilations",e,t,n),v=S($fe("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:p,dataFormat:f,dilations:d,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:$fe("leakyreluAlpha",e,t,n)}}var rve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Conv1D":var a=$fe("stride",e,t,n),i=$fe("pad",e,t,n),o=$fe("dataFormat",e,t,n).toUpperCase(),s=$fe("dilation",e,t,n);return[r.conv1d($fe("x",e,t,n),$fe("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=$fe("strides",e,t,n),c=ide(e,t,n),l=$fe("dataFormat",e,t,n).toUpperCase(),h=$fe("dilations",e,t,n);return[r.conv2d($fe("x",e,t,n),$fe("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=nve(e,t,n),f=p.stride,d=p.pad,v=p.dataFormat,m=p.dilations,g=p.biasArg,y=p.preluArg,b=p.activationFunc,x=p.leakyreluAlpha;return[r.fused.conv2d({x:$fe("x",e,t,n),filter:$fe("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:v,dilations:[m[1],m[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var k=nve(e,t,n),w=k.stride,I=k.pad,N=k.dataFormat,S=k.dilations,T=k.biasArg,E=k.preluArg,C=k.activationFunc,A=k.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:$fe("x",e,t,n),filter:$fe("filter",e,t,n),strides:[w[1],w[2]],pad:I,dataFormat:N,dilations:[S[1],S[2]],bias:T,activation:C,preluActivationWeights:E,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=$fe("outputShape",e,t,n),_=$fe("strides",e,t,n),O=ide(e,t,n);return[r.conv2dTranspose($fe("x",e,t,n),$fe("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=$fe("strides",e,t,n),D=ide(e,t,n),M=$fe("dilations",e,t,n),L=$fe("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d($fe("input",e,t,n),$fe("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=$fe("strides",e,t,n),P=$fe("pad",e,t,n),B=$fe("dataFormat",e,t,n).toUpperCase(),W=$fe("dilations",e,t,n);return[r.conv3d($fe("x",e,t,n),$fe("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=$fe("strides",e,t,n),U=$fe("pad",e,t,n),G=$fe("kernelSize",e,t,n);return[r.avgPool($fe("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=$fe("strides",e,t,n),H=$fe("pad",e,t,n),q=$fe("kernelSize",e,t,n);return[r.maxPool($fe("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=$fe("strides",e,t,n),X=$fe("pad",e,t,n),Y=$fe("kernelSize",e,t,n),J=$fe("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax($fe("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J),Q=Z.result,$=Z.indexes;return[Q,$];case"AvgPool3D":var ee=$fe("strides",e,t,n),te=$fe("pad",e,t,n),ne=$fe("kernelSize",e,t,n);return[r.avgPool3d($fe("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"MaxPool3D":var re=$fe("strides",e,t,n),ae=$fe("pad",e,t,n),ie=$fe("kernelSize",e,t,n);return[r.maxPool3d($fe("x",e,t,n),[ie[1],ie[2],ie[3]],[re[1],re[2],re[3]],ae)];case"Dilation2D":var oe=$fe("strides",e,t,n),se=$fe("pad",e,t,n),ue=$fe("dilations",e,t,n),ce=oe[1],le=oe[2],he=ue[1],pe=ue[2];return[r.dilation2d($fe("x",e,t,n),$fe("filter",e,t,n),[ce,le],se,[he,pe],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},ave=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Fill":var a=$fe("shape",e,t,n),i=$fe("dtype",e,t,n),o=$fe("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=$fe("start",e,t,n),u=$fe("stop",e,t,n),c=$fe("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=$fe("logits",e,t,n),h=$fe("numSamples",e,t,n),p=$fe("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var f=$fe("indices",e,t,n),d=$fe("depth",e,t,n),v=$fe("onValue",e,t,n),m=$fe("offValue",e,t,n),g=$fe("dtype",e,t,n);return[r.oneHot(f,d,v,m,g)];case"Ones":return[r.ones($fe("shape",e,t,n),$fe("dtype",e,t,n))];case"OnesLike":return[r.onesLike($fe("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal($fe("shape",e,t,n),$fe("dtype",e,t,n),$fe("seed",e,t,n))];case"RandomUniform":return[r.randomUniform($fe("shape",e,t,n),$fe("minval",e,t,n),$fe("maxval",e,t,n),$fe("dtype",e,t,n))];case"RandomUniformInt":return[r.randomUniformInt($fe("shape",e,t,n),$fe("minval",e,t,n),$fe("maxval",e,t,n),$fe("seed",e,t,n))];case"Range":var y=$fe("start",e,t,n),b=$fe("stop",e,t,n),x=$fe("step",e,t,n);return[r.range(y,b,x,$fe("dtype",e,t,n))];case"TruncatedNormal":var k=$fe("shape",e,t,n),w=$fe("mean",e,t,n),I=$fe("stdDev",e,t,n),N=$fe("seed",e,t,n);return[r.truncatedNormal(k,w,I,$fe("dtype",e,t,n),N)];case"Zeros":return[r.zeros($fe("shape",e,t,n),$fe("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function ive(e,t,n){return{boxes:$fe("boxes",e,t,n),scores:$fe("scores",e,t,n),maxOutputSize:$fe("maxOutputSize",e,t,n),iouThreshold:$fe("iouThreshold",e,t,n),scoreThreshold:$fe("scoreThreshold",e,t,n),softNmsSigma:$fe("softNmsSigma",e,t,n)}}var ove=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=_.length>4&&void 0!==_[4]?_[4]:Ude,e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return s=ive(t,n,r),u=s.boxes,c=s.scores,l=s.maxOutputSize,h=s.iouThreshold,p=s.scoreThreshold,f=s.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(u,c,l,h,p,f);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return v=ive(t,n,r),m=v.boxes,g=v.scores,y=v.maxOutputSize,b=v.iouThreshold,x=v.scoreThreshold,k=$fe("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,g,y,b,x,k);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return I=ive(t,n,r),N=I.boxes,S=I.scores,T=I.maxOutputSize,E=I.iouThreshold,C=I.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,S,T,E,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return A=i.cast($fe("condition",t,n,r),"bool"),e.next=23,i.whereAsync(A);case 23:return e.t2=e.sent,R=[e.t2],A.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",i.setdiff1dAsync($fe("x",t,n,r),$fe("y",t,n,r)));case 28:throw TypeError("Node type ".concat(t.op," is not implemented"));case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),sve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"LowerBound":var a=$fe("sortedSequence",e,t,n),i=$fe("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=$fe("x",e,t,n),s=$fe("k",e,t,n),u=$fe("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=$fe("sortedSequence",e,t,n),h=$fe("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=$fe("x",e,t,n),f=r.unique(p);return[f.values,f.indices];case"UniqueV2":var d=$fe("x",e,t,n),v=$fe("axis",e,t,n),m=r.unique(d,v);return[m.values,m.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},uve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=$fe("default",e,t,n);return[ede(e.name,t,n)||a];case"Placeholder":return[ede(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":var i=$fe("x",e,t,n);return[ode(i)];case"IdentityN":return $fe("x",e,t,n).map((function(e){return ode(e)}));case"Snapshot":var o=$fe("x",e,t,n);return[ode(o)];case"Shape":return[r.tensor1d($fe("x",e,t,n).shape,"int32")];case"ShapeN":return $fe("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar($fe("x",e,t,n).size,"int32")];case"Rank":return[r.scalar($fe("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var s=$fe("x",e,t,n),u=$fe("data",e,t,n),c=$fe("message",e,t,n),l=$fe("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var h=0;h<u.length;h++)console.log(Array.prototype.slice.call(u[h].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},cve=function(){function e(t,n){l(this,e),this.keyDType=t,this.valueDType=n,this.handle=Z7(0),this.tensorMap=new Map,n8(this.handle)}var t,n;return p(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return Z7(this.size(),"int32")}},{key:"import",value:(n=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",e8((function(){var e=Yte(n),t=r.length,i=e.length;F$(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];n8(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"find",value:(t=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",e8((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return Rte(e)})));case 5:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),lve=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return s=$fe("keyDType",t,n,r),u=$fe("valueDType",t,n,r),c=new cve(s,u),a.addHashTable(t.name,c),e.abrupt("return",[c.handle]);case 13:return l=$fe("tableHandle",t,n,r,a),h=$fe("keys",t,n,r),p=$fe("values",t,n,r),f=a.getHashTableById(l.id),e.next=19,f.import(h,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return d=$fe("tableHandle",t,n,r,a),v=$fe("keys",t,n,r),m=$fe("defaultValue",t,n,r),g=a.getHashTableById(d.id),e.next=27,g.find(v,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return y=$fe("tableHandle",t,n,r,a),b=a.getHashTableById(y.id),e.abrupt("return",[b.tensorSize()]);case 32:throw TypeError("Node type ".concat(t.op," is not implemented"));case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),hve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"ResizeBilinear":var a=$fe("images",e,t,n),i=$fe("size",e,t,n),o=$fe("alignCorners",e,t,n),s=$fe("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=$fe("images",e,t,n),c=$fe("size",e,t,n),l=$fe("alignCorners",e,t,n),h=$fe("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=$fe("image",e,t,n),f=$fe("boxes",e,t,n),d=$fe("boxInd",e,t,n),v=$fe("cropSize",e,t,n),m=$fe("method",e,t,n),g=$fe("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,f,d,v,m,g)];case"ImageProjectiveTransformV3":var y=$fe("images",e,t,n),b=$fe("transforms",e,t,n),x=$fe("outputShape",e,t,n),k=$fe("fillValue",e,t,n),w=$fe("interpolation",e,t,n),I=$fe("fillMode",e,t,n);return[r.image.transform(y,b,w.toLowerCase(),I.toLowerCase(),k,x)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},pve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Equal":return[r.equal($fe("a",e,t,n),$fe("b",e,t,n))];case"NotEqual":return[r.notEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"Greater":return[r.greater($fe("a",e,t,n),$fe("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"Less":return[r.less($fe("a",e,t,n),$fe("b",e,t,n))];case"LessEqual":return[r.lessEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd($fe("a",e,t,n),$fe("b",e,t,n))];case"LogicalNot":return[r.logicalNot($fe("a",e,t,n))];case"LogicalOr":return[r.logicalOr($fe("a",e,t,n),$fe("b",e,t,n))];case"Select":case"SelectV2":return[r.where($fe("condition",e,t,n),$fe("a",e,t,n),$fe("b",e,t,n))];case"BitwiseAnd":return[r.bitwiseAnd($fe("a",e,t,n),$fe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},fve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul($fe("a",e,t,n),$fe("b",e,t,n),$fe("transposeA",e,t,n),$fe("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[$fe("equation",e,t,n)].concat(T($fe("tensors",e,t,n))))];case"Transpose":return[r.transpose($fe("x",e,t,n),$fe("perm",e,t,n))];case"_FusedMatMul":var a=$fe("fusedOps",e,t,n),i=S(a,2),o=i[0],s=i[1],u="biasadd"===o,c="prelu"===s,l=$fe("numArgs",e,t,n),h=$fe("leakyreluAlpha",e,t,n);if(u){if(c&&2!==l)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==l)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var p=$fe("args",e,t,n),f=S(p,2),d=f[0],v=f[1];return[r.fused.matMul({a:$fe("a",e,t,n),b:$fe("b",e,t,n),transposeA:$fe("transposeA",e,t,n),transposeB:$fe("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:v,leakyreluAlpha:h})];case"MatrixBandPart":return[r.linalg.bandPart($fe("a",e,t,n),$fe("numLower",e,t,n),$fe("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},dve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm($fe("x",e,t,n),$fe("axis",e,t,n),$fe("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm($fe("x",e,t,n),$fe("mean",e,t,n),$fe("variance",e,t,n),$fe("offset",e,t,n),$fe("scale",e,t,n),$fe("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization($fe("x",e,t,n),$fe("radius",e,t,n),$fe("bias",e,t,n),$fe("alpha",e,t,n),$fe("beta",e,t,n))];case"Softmax":return[r.softmax($fe("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},vve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"RaggedGather":var a=r.raggedGather($fe("paramsNestedSplits",e,t,n),$fe("paramsDenseValues",e,t,n),$fe("indices",e,t,n),$fe("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange($fe("starts",e,t,n),$fe("limits",e,t,n),$fe("splits",e,t,n)),u=s.rtNestedSplits,c=s.rtDenseValues;return[u,c];case"RaggedTensorToTensor":return[r.raggedTensorToTensor($fe("shape",e,t,n),$fe("values",e,t,n),$fe("defaultValue",e,t,n),$fe("rowPartitionTensors",e,t,n),$fe("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},mve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Max":var a=$fe("axis",e,t,n),i=$fe("keepDims",e,t,n);return[r.max($fe("x",e,t,n),a,i)];case"Mean":var o=$fe("axis",e,t,n),s=$fe("keepDims",e,t,n);return[r.mean($fe("x",e,t,n),o,s)];case"Min":var u=$fe("axis",e,t,n),c=$fe("keepDims",e,t,n);return[r.min($fe("x",e,t,n),u,c)];case"Sum":var l=$fe("axis",e,t,n),h=$fe("keepDims",e,t,n);return[r.sum($fe("x",e,t,n),l,h)];case"All":var p=$fe("axis",e,t,n),f=$fe("keepDims",e,t,n);return[r.all($fe("x",e,t,n),p,f)];case"Any":var d=$fe("axis",e,t,n),v=$fe("keepDims",e,t,n);return[r.any($fe("x",e,t,n),d,v)];case"ArgMax":var m=$fe("axis",e,t,n);return[r.argMax($fe("x",e,t,n),m)];case"ArgMin":var g=$fe("axis",e,t,n);return[r.argMin($fe("x",e,t,n),g)];case"Prod":var y=$fe("axis",e,t,n),b=$fe("keepDims",e,t,n);return[r.prod($fe("x",e,t,n),y,b)];case"Cumprod":var x=$fe("axis",e,t,n),k=$fe("exclusive",e,t,n),w=$fe("reverse",e,t,n);return[r.cumprod($fe("x",e,t,n),x,k,w)];case"Cumsum":var I=$fe("axis",e,t,n),N=$fe("exclusive",e,t,n),S=$fe("reverse",e,t,n);return[r.cumsum($fe("x",e,t,n),I,N,S)];case"Bincount":var T=$fe("x",e,t,n),E=$fe("weights",e,t,n),C=$fe("size",e,t,n);return[r.bincount(T,E,C)];case"DenseBincount":var A=$fe("x",e,t,n),R=$fe("weights",e,t,n),_=$fe("size",e,t,n),O=$fe("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},gve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"ConcatV2":case"Concat":var a=$fe("n",e,t,n),i=$fe("axis",e,t,n),o=$fe("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=$fe("x",e,t,n),u=$fe("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=$fe("axis",e,t,n),l=$fe("batchDims",e,t,n),h=$fe("x",e,t,n),p=$fe("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var f=$fe("dims",e,t,n),d=[],v=0;v<f.length;v++)f[v]&&d.push(v);var m=$fe("x",e,t,n);return[r.reverse(m,d)];case"ReverseV2":var g=$fe("axis",e,t,n),y=$fe("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=$fe("begin",e,t,n),x=$fe("size",e,t,n);return[r.slice($fe("x",e,t,n),b,x)];case"StridedSlice":var k=$fe("begin",e,t,n),w=$fe("end",e,t,n),I=$fe("strides",e,t,n),N=$fe("beginMask",e,t,n),S=$fe("endMask",e,t,n),T=$fe("ellipsisMask",e,t,n),E=$fe("newAxisMask",e,t,n),C=$fe("shrinkAxisMask",e,t,n),A=$fe("x",e,t,n);return[r.stridedSlice(A,k,w,I,N,S,T,E,C)];case"Pack":return e8((function(){var a=$fe("axis",e,t,n),i=$fe("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=P$(e.shape,o);if(!t&&!P$(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var R=$fe("axis",e,t,n),_=$fe("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=$fe("reps",e,t,n);return[r.tile($fe("x",e,t,n),O)];case"Split":case"SplitV":var F=$fe("axis",e,t,n),D=$fe("numOrSizeSplits",e,t,n),M=$fe("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=$fe("indices",e,t,n),z=$fe("values",e,t,n),P=$fe("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=$fe("x",e,t,n),W=$fe("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=$fe("sparseIndices",e,t,n),U=$fe("outputShape",e,t,n),G=$fe("sparseValues",e,t,n),j=$fe("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=$fe("indices",e,t,n),q=$fe("values",e,t,n),K=$fe("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},yve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows($fe("indices",e,t,n),$fe("values",e,t,n),$fe("denseShape",e,t,n),$fe("defaultValue",e,t,n)),i=a.outputIndices,o=a.outputValues,s=a.emptyRowIndicator,u=a.reverseIndexMap;return[i,o,s,u];case"SparseReshape":var c=r.sparse.sparseReshape($fe("inputIndices",e,t,n),$fe("inputShape",e,t,n),$fe("newShape",e,t,n)),l=c.outputIndices,h=c.outputShape;return[l,h];case"SparseSegmentMean":var p=r.sparse.sparseSegmentMean($fe("data",e,t,n),$fe("indices",e,t,n),$fe("segmentIds",e,t,n));return[p];case"SparseSegmentSum":var f=r.sparse.sparseSegmentSum($fe("data",e,t,n),$fe("indices",e,t,n),$fe("segmentIds",e,t,n));return[f];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},bve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"FFT":return[r.fft($fe("x",e,t,n))];case"IFFT":return[r.ifft($fe("x",e,t,n))];case"RFFT":return[r.rfft($fe("x",e,t,n))];case"IRFFT":return[r.irfft($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},xve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace($fe("input",e,t,n),$fe("pattern",e,t,n),$fe("rewrite",e,t,n),$fe("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams($fe("data",e,t,n),$fe("dataSplits",e,t,n),$fe("separator",e,t,n),$fe("nGramWidths",e,t,n),$fe("leftPad",e,t,n),$fe("rightPad",e,t,n),$fe("padWidth",e,t,n),$fe("preserveShortSequences",e,t,n)),i=a.nGrams,o=a.nGramsSplits;return[i,o];case"StringSplit":var s=r.string.stringSplit($fe("input",e,t,n),$fe("delimiter",e,t,n),$fe("skipEmpty",e,t,n)),u=s.indices,c=s.values,l=s.shape;return[u,c,l];case"StringToHashBucketFast":var h=r.string.stringToHashBucketFast($fe("input",e,t,n),$fe("numBuckets",e,t,n));return[h];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},kve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Cast":return[r.cast($fe("x",e,t,n),$fe("dtype",e,t,n))];case"ExpandDims":var a=$fe("axis",e,t,n);return[r.expandDims($fe("x",e,t,n),a)];case"Squeeze":var i=$fe("axis",e,t,n);return[r.squeeze($fe("x",e,t,n),i)];case"Reshape":return[r.reshape($fe("x",e,t,n),$fe("shape",e,t,n))];case"EnsureShape":return[r.ensureShape($fe("x",e,t,n),$fe("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad($fe("x",e,t,n),$fe("padding",e,t,n),$fe("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad($fe("x",e,t,n),$fe("padding",e,t,n),$fe("constantValue",e,t,n))];case"SpaceToBatchND":var o=$fe("blockShape",e,t,n),s=$fe("paddings",e,t,n);return[r.spaceToBatchND($fe("x",e,t,n),o,s)];case"BatchToSpaceND":var u=$fe("blockShape",e,t,n),c=$fe("crops",e,t,n);return[r.batchToSpaceND($fe("x",e,t,n),u,c)];case"DepthToSpace":var l=$fe("blockSize",e,t,n),h=$fe("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace($fe("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo($fe("x",e,t,n),$fe("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs($fe("s0",e,t,n),$fe("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function wve(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e8,i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return Gde(e,t,n)}));case"basic_math":return a((function(){return jde(e,t,n)}));case"control":return tve(e,t,n);case"convolution":return a((function(){return rve(e,t,n)}));case"creation":return a((function(){return ave(e,t,n)}));case"dynamic":return ove(e,t,n);case"evaluation":return a((function(){return sve(e,t,n)}));case"image":return a((function(){return hve(e,t,n)}));case"graph":return a((function(){return uve(e,t,n)}));case"logical":return a((function(){return pve(e,t,n)}));case"matrices":return a((function(){return fve(e,t,n)}));case"normalization":return a((function(){return dve(e,t,n)}));case"ragged":return a((function(){return vve(e,t,n)}));case"reduction":return a((function(){return mve(e,t,n)}));case"slice_join":return a((function(){return gve(e,t,n)}));case"sparse":return a((function(){return yve(e,t,n)}));case"spectral":return a((function(){return bve(e,t,n)}));case"string":return a((function(){return xve(e,t,n)}));case"transformation":return a((function(){return kve(e,t,n)}));case"hash_table":return lve(e,t,n,r);case"custom":var i=Qfe(e.op);if(i&&i.customExecutor)return i.customExecutor(new Vde(e,t,n));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return v0(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var Ive=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=arguments.length>4?arguments[4]:void 0;l(this,e),this.weightMap=t,this.tensorArrayMap=n,this.tensorListMap=r,this.functionMap=a,this.parseNodeNameCache=i,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return p(e,[{key:"newFrame",value:function(e,t){return{id:e,frameName:t,iterationId:0}}},{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}},{key:"generateCurrentContextIds",value:function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e}},{key:"contextIdforContexts",value:function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""}},{key:"enterFrame",value:function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}},{key:"exitFrame",value:function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}},{key:"nextIteration",value:function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}},{key:"getWeight",value:function(e){return this.weightMap[e]}},{key:"addTensorArray",value:function(e){this.tensorArrayMap[e.id]=e}},{key:"getTensorArray",value:function(e){return this.tensorArrayMap[e]}},{key:"addTensorList",value:function(e){this.tensorListMap[e.id]=e}},{key:"getTensorList",value:function(e){return this.tensorListMap[e]}},{key:"dispose",value:function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)}}]),e}();function Nve(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,c=new Set(Object.keys(e).map((function(e){return ade(e)[0]})));r=r||[];for(var l=new Set(r.map((function(e){return ade(e.name)[0]}))),h=T(t);h.length>0;){var p=h.pop();(Rve(p)||_ve(p)||Ove(p))&&null==o&&(s=(o=p).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(p.name),null==n[p.name]&&(c.has(p.name)||l.has(p.name)||(0!==p.inputs.length?p.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),h.push(e))})):i.push(p.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}function Sve(e,t){var n=t.usedNodes,r=t.inputs,a=Object.keys(r).map((function(e){return ade(e)[0]})).map((function(t){return e.nodes[t]})),i=e.initNodes||[],o=function(e){return n.has("string"==typeof e?e:e.name)};function s(e){return T(new Map(e.map((function(e){return[e.name,e]}))).values())}var u,c=s([].concat(T(a),T(e.weights),T(i))).filter(o),l=s([].concat(T(c),T(Object.values(e.nodes)))).filter(o),h=new Map(l.map((function(e){return[e.name,e]}))),p={},f=O(l);try{for(f.s();!(u=f.n()).done;){var d=u.value;p[d.name]=p[d.name]||0;var v,m=O(d.children);try{for(m.s();!(v=m.n()).done;){var g=v.value;o(g)||(p[g.name]=Number.POSITIVE_INFINITY),p[g.name]=(p[g.name]||0)+1}}catch(e){m.e(e)}finally{m.f()}}}catch(e){f.e(e)}finally{f.f()}for(var y=Object.entries(p).filter((function(e){return 0===S(e,2)[1]})).map((function(e){return S(e,1)[0]})),b=T(y);y.length>0;){var x,k=y.pop(),w=O(h.get(k).children.filter(o));try{for(w.s();!(x=w.n()).done;){var I=x.value;0==--p[I.name]&&(b.push(I.name),y.push(I.name))}}catch(e){w.e(e)}finally{w.f()}}var N=function(e,t){var n=new Map(e.map((function(e){return[e.name,e]}))),r=t.map((function(e){return e.name})),a=new Set(r);for(;r.length>0;){var i,o=r.pop(),s=O(n.get(o).children);try{for(s.s();!(i=s.n()).done;){var u=i.value;n.has(u.name)&&!a.has(u.name)&&(a.add(u.name),r.push(u.name))}}catch(e){s.e(e)}finally{s.f()}}var c=e.filter((function(e){return a.has(e.name)}));return c}(b.map((function(e){return h.get(e)})),c);return function(e,t){var n,r=new Map(e.map((function(e,t){return[e.name,t]}))),a=new Set(t.map((function(e){return e.name}))),i=function(e){return a.has("string"==typeof e?e:e.name)},o=new Set(e.map((function(e){return e.name}))),s=function(e){return o.has("string"==typeof e?e:e.name)},u=O(e);try{for(u.s();!(n=u.n()).done;){var c,l=n.value,h=O(l.children.filter(s));try{for(h.s();!(c=h.n()).done;){var p=c.value;if(!r.has(p.name))throw new Tve("Child ".concat(p.name," of node ").concat(l.name," is unreachable."));if(r.get(l.name)>r.get(p.name))throw new Tve("Node ".concat(l.name," is scheduled to run after its child ").concat(p.name,"."))}}catch(e){h.e(e)}finally{h.f()}if(!i(l)){var f,d=O(l.inputs);try{for(d.s();!(f=d.n()).done;){var v=f.value;if(!r.has(v.name))throw new Tve("Input ".concat(v.name," of node ").concat(l.name," is unreachable."));if(r.get(v.name)>r.get(l.name))throw new Tve("Node ".concat(l.name," is scheduled to run before its input ").concat(v.name,"."))}}catch(e){d.e(e)}finally{d.f()}}}}catch(e){u.e(e)}finally{u.f()}}(N,c),N}var Tve=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,"NodesExecutionOrderError: ".concat(e))}return p(n)}(b(Error));var Eve=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),Cve=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),Ave=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function Rve(e){return Eve.has(e.op)}function _ve(e){return Cve.has(e.op)}function Ove(e){return Ave.has(e.op)}var Fve=function(){function e(t,n){var r=this;l(this,e),this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t,n,r,a;return p(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,T(n)),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}},{key:"getCompilationKey",value:function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)}},{key:"compile",value:function(e,t){var n=Nve(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(i,"]"));if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(s,"]. Missing the following inputs: [").concat(r,"]"))}var u=Sve(this.graph,n),c=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return Rve(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},i=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),o=new Map,s=0;s<e.length;++s){var u=i[s];if(u!==n){var c=e[s],l=e[u];o.has(l.name)||o.set(l.name,[]),o.get(l.name).push(c)}}return o}(u);return{orderedNodes:u,nodeLiveUntilMap:c}}},{key:"cloneAndKeepTensor",value:function(e){if(null==e)return null;var t=e.clone();return n8(t),t}},{key:"cloneTensorList",value:function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n}},{key:"cloneTensorMap",value:function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=S(e,2),r=n[0],a=n[1];return[r,t.cloneTensorList(a)]})))}},{key:"execute",value:function(e,t){var n=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[ade(e)[0]]})),i=t.map((function(e){return ade(e)[0]})),o=new Set(i),s=i.map((function(e){return n.graph.nodes[e]}));0===s.length&&(s=this._outputs);var u=this.getCompilationKey(a,s),c=this.compiledMap.get(u);null==c&&(c=this.compile(e,s),this.compiledMap.set(u,c));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},h={};return e8((function(){var r=new Ive(n.weightMap,l,h,n.functionExecutorMap,n.parseNodeNameCache),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var i=S(ade(t,r),2),o=i[0],s=[];s[i[1]]=e[t],a[o]=s,n.keepIntermediateTensors&&(n.clonedTensorsMap[o]=n.cloneTensorList(s))}));var i,s=n.getFrozenTensorIds(a),u=c,p=u.orderedNodes,f=u.nodeLiveUntilMap,d=O(p);try{for(d.s();!(i=d.n()).done;){var v=i.value;if(!a[v.name]){var m=wve(v,a,r,n._resourceManager);if(v0(m))throw new Error("The execution of the op '".concat(v.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[v.name]=m,n.keepIntermediateTensors&&(n.clonedTensorsMap[v.name]=n.cloneTensorList(m)),n.checkTensorForDisposalWithNodeLiveUntilInfo(v,a,r,s,o,f.get(v.name))}}}catch(e){d.e(e)}finally{d.f()}return null==n.parent&&r.dispose(s),t.map((function(e){return ede(e,a,r)}))}))}},{key:"getFrozenTensorIds",value:function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)}},{key:"checkTensorForDisposal",value:function(e,t,n,r,a,i,o){if(!Rve(t)&&!i.has(e)){var s,u=O(n[e]);try{for(u.s();!(s=u.n()).done;){var c=s.value;null!=c&&(o[c.id]=(o[c.id]||0)+t.children.length)}}catch(e){u.e(e)}finally{u.f()}var l,h=O(t.inputs);try{for(h.s();!(l=h.n()).done;){var p=l.value;if(!Rve(p)){var f=tde(p.name,n,r);if(null!=f){var d,v=O(f);try{for(v.s();!(d=v.n()).done;){var m=d.value;if(m&&!m.kept&&!a.has(m.id)){var g=o[m.id];1===g?(m.dispose(),delete o[m.id]):null!=g&&o[m.id]--}}}catch(e){v.e(e)}finally{v.f()}}}}}catch(e){h.e(e)}finally{h.f()}}}},{key:"checkTensorForDisposalWithNodeLiveUntilInfo",value:function(e,t,n,r,a,i){function o(e){return Rve(e)||a.has(e.name)}if(!Rve(e)&&null!=i){var s,u=O(i);try{for(u.s();!(s=u.n()).done;){var c=s.value;if(!o(c)){var l,h=O(tde(c.name,t,n));try{for(h.s();!(l=h.n()).done;){var p=l.value;!p||p.kept||r.has(p.id)||p.dispose()}}catch(e){h.e(e)}finally{h.f()}}}}catch(e){u.e(e)}finally{u.f()}}}},{key:"executeAsync",value:(a=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n=O(e);try{for(n.s();!(t=n.n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}}catch(e){n.e(e)}finally{n.f()}})),this.clonedTensorsMap=null)}},{key:"getIntermediateTensors",value:function(){return this.clonedTensorsMap}},{key:"_executeAsync",value:(r=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=f.length>2&&void 0!==f[2]&&f[2],a=f.length>3&&void 0!==f[3]?f[3]:{},i=f.length>4&&void 0!==f[4]?f[4]:{},this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new Ive(this.weightMap,a,i,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,s,n,r);case 10:return u=e.sent,c=n.map((function(e){return ede(e,u,s)})),l=c.map((function(e){return e.id})),h=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(T(l),T(h),T(this.weightIds))),Object.values(u).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(p),e.abrupt("return",c);case 18:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"executeFunctionAsync",value:(n=c(o().mark((function e(t,n,r){var a,i=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)}))),function(e,t,r){return n.apply(this,arguments)})},{key:"executeWithControlFlow",value:(t=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),s=i.map((function(e){return N.graph.nodes[ade(e)[0]]})),u=r.map((function(e){return ade(e)[0]})),c=new Set(u),0===(l=u.map((function(e){return N.graph.nodes[e]}))).length&&(l=this._outputs),h=Nve(t,l,this.weightMap,this._initNodes),p=h.usedNodes,f=h.missingInputs,d=h.dynamicNode,v=h.syncInputs,m=[].concat(T(s),T(this.graph.weights),T(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),g=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=S(ade(e),2),r=n[0],a=[];a[n[1]]=t[e],g[r]=a})),y={},b=this.getFrozenTensorIds(g),x={};case 13:if(!(m.length>0)){e.next=19;break}return k=this.processStack(s,m,n,g,x,b,c,y,p),e.next=17,Promise.all(k);case 17:e.next=13;break;case 19:if(null!=d||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),w=l.filter((function(e){return!Rve(e)&&!ede(e.name,g,n)})).map((function(e){return e.name})),!(w.length>0)){e.next=25;break}throw I="",null!=d&&(I="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(v,"]")),new Error("Cannot compute the outputs [".concat(w,"] from the provided ")+"inputs [".concat(i,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(I));case 25:return e.abrupt("return",g);case 26:case"end":return e.stop()}}),e,this)}))),function(e,n,r,a){return t.apply(this,arguments)})},{key:"processStack",value:function(e,t,n,r,a,i,o,s,u){for(var c=this,l=[],h=function(){var e=t.pop();n.currentContext=e.contexts;var h="";if("Enter"===e.node.op&&$fe("isConstant",e.node,r,n)){var p=S(nde(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var f=wve(e.node,r,n,c._resourceManager);if(!h){var d=S(nde(e.node.name,n),1);h=d[0]}var v=n.currentContext;v0(f)?l.push(f.then((function(l){return r[h]=l,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(l)),n.currentContext=v,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u),l}))):(r[h]=f,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(f)),c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u))}else c.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)h();return l}},{key:"processChildNodes",value:function(e,t,n,r,a,i){e.children.forEach((function(e){var o=S(nde(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!ede(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!ede(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=S(ade(n),1)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));F$(s,(function(){return"The shape of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(r.shape,"]")}))}i.attrParams.dtype&&i.attrParams.dtype.value&&F$(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(i.attrParams.dtype.value,", but was ").concat(r.dtype)}))}))}},{key:"mapInputs",value:function(e){var t,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r}},{key:"checkInputs",value:function(e){var t=this,n=Object.keys(e).filter((function(e){var n=S(ade(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach((function(e){var n=S(ade(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),Dve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};l(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return p(e,[{key:"addHashTable",value:function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}},{key:"getHashTableHandleByName",value:function(e){return this.hashTableNameToHandle[e]}},{key:"getHashTableById",value:function(e){return this.hashTableMap[e]}},{key:"dispose",value:function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}}]),e}(),Mve=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:vae;l(this,e),this.modelUrl=t,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new Dve}var t,n,r,a;return p(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}},{key:"findIOHandler",value:function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return v0(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)}},{key:"loadSync",value:function(e){this.artifacts=e;var t=this.artifacts.modelTopology,n=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var r=this.artifacts.userDefinedMetadata;null!=r.signature&&(n=r.signature),null!=r.structuredOutputKeys&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version="".concat(t.versions.producer,".").concat(t.versions.minConsumer);var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Fve(Tde.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=Tde.Instance.transformGraph(e.modelInitializer);this.initializer=new Fve(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:(a=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"addStructuredOutputNames",value:function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof n5?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e}},{key:"predict",value:function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}},{key:"predictAsync",value:(r=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"normalizeInputs",value:function(e){var t,n=this;if(!(e instanceof n5||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has ".concat(this.inputNodes.length-o," non-resource placeholders, while there are ").concat(e.length," input tensors provided."));var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})}},{key:"normalizeOutputs",value:function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}},{key:"executeInitializerGraph",value:function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}},{key:"executeInitializerGraphAsync",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setResourceIdToCapturedInput",value:function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}}},{key:"execute",value:function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]}},{key:"executeAsync",value:(t=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"getIntermediateTensors",value:function(){return this.executor.getIntermediateTensors()}},{key:"disposeIntermediateTensors",value:function(){this.executor.disposeIntermediateTensors()}},{key:"convertTensorMapToTensorsMap",value:function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})}},{key:"dispose",value:function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&t8(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}}]),e}();function Lve(){return Lve=c(o().mark((function e(t){var n,r,a,i=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 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".concat(this.audioContext.sampleRate));case 19:return n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,n.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),e.abrupt("return");case 27:case"end":return e.stop()}}),e,this,[[0,6]])}))),function(){return i.apply(this,arguments)})},{key:"next",value:(a=c(o().mark((function e(){var t,n,r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.next=4,this.getAudioData();case 4:return r=e.sent,this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),t=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(r.timeDataQueue),n=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),e.abrupt("return",{value:{spectrogram:t,waveform:n},done:!1});case 8:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"capture",value:(r=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return r.apply(this,arguments)})},{key:"getAudioData",value:(n=c(o().mark((function e(){var t,n,r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],n=[],r=0,e.abrupt("return",new Promise((function(e){var 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r=1*n.webcamConfig.resizeWidth/n.webcamVideoElement.width,a=1*n.webcamConfig.resizeHeight/n.webcamVideoElement.height,o=(1-r)/2,u=(1-a)/2,c=o+r,h=a+u;n.cropBox=Mte([u,o,h,c],[1,4])}else n.cropBox=Mte([0,0,1,1],[1,4]);return n}return p(s,[{key:"summary",value:function(){return"webcam"}},{key:"start",value:(a=c(o().mark((function e(){var t=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.webcamConfig.facingMode&&F$("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: ".concat(t.webcamConfig.facingMode,". 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a.apply(this,arguments)})},{key:"next",value:(r=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=Nae(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: ".concat(JSON.stringify(e.t0)));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: ".concat(e.t1.message));case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])}))),function(){return 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e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}},{key:"toArray",value:function(){throw new Error("Can not convert infinite video stream to array.")}}],[{key:"create",value:(t=c(o().mark((function e(t){var n,r,a=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(n=a.length>1&&void 0!==a[1]?a[1]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("tf.data.webcam is only supported in browser environment.");case 3:if(t){e.next=9;break}if(t=document.createElement("video"),n.resizeWidth&&n.resizeHeight){e.next=7;break}throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");case 7:t.width=n.resizeWidth,t.height=n.resizeHeight;case 9:return r=new s(t,n),e.next=12,r.start();case 12:return e.abrupt("return",r);case 13:case"end":return e.stop()}}),e)}))),function(e){return 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Aye={kernelName:A2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;Jme(a,"prod");var s=a.shape.length,u=j$(i,a.shape),c=H7(u,s),l=u,h=a,p=[];null!=c&&(h=Tye({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=K7(l.length,s));var f=n.data.get(h.dataId).values,d=Cye(h.shape,h.dtype,f,l),v=d.outVals,m=d.outShape,g=d.outDtype,y=m;return o&&(y=G7(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function Rye(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted 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scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=d0(r,t.length,i0(t)).join(",");throw new Error("indices[".concat(a,"] = ").concat(e," is not in [0, ").concat(n,")"))}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=Rye(i,o,e,r[0]),c=u.outSplits,l=u.valueSlices,h=u.numValues,p=function(e){for(var t=[],n=function(){var n=K$("int32",e[r].length);t.push(n),e[r].forEach((function(e,t){return n[t]=e}))},r=0;r<e.length;++r)n();return t}(c),f=Oye(n,r,a,l,h);return[p,f[0],f[1]]}var Dye=2147483647;function Mye(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,c=0===o.length,l=[];s||l.push(t[0]),u||l.push(a[0]),c||l.push(o[0]);for(var h=1;h<l.length;++h)if(l[h]!==l[h-1])throw new Error("starts, limits, and deltas must have the same shape");var p=0===l.length?1:l[0],f=K$("int32",p+1);f[0]=0;for(var d=0;d<p;++d){var v=s?e[0]:e[d],m=u?r[0]:r[d],g=c?i[0]:i[d];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&m<v||g<0&&m>v)y=0;else if((y=Math.ceil(Math.abs((m-v)/g)))>Dye)throw new Error("Requires ((limit - start) / delta) <= ".concat(Dye));f[d+1]=f[d]+y}for(var b=K$(n,f[p]),x=0,k=0;k<p;++k)for(var w=f[k+1]-f[k],I=s?e[0]:e[k],N=c?i[0]:i[k],S=0;S<w;++S)b[x++]=I,I+=N;return[f,b]}var Lye=Gae,zye=function(){function e(t,n,r,a,i,o,s,u,c,h){l(this,e),this.shape=t,this.shapeShape=n,this.values=r,this.valuesShape=a,this.valuesDType=i,this.defaultValue=o,this.defaultValueShape=s,this.rowPartitionValues=u,this.rowPartitionValuesShapes=c,this.rowPartitionTypes=$ae(h),this.raggedRank=eie(this.rowPartitionTypes)}return p(e,[{key:"getRowPartitionTypeByDimension",value:function(e){return this.rowPartitionTypes[0]===Lye.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]}},{key:"getRowPartitionTensor",value:function(e){return this.rowPartitionTypes[0]===Lye.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]}},{key:"getMaxWidth",value:function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case Lye.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case Lye.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(Lye[this.getRowPartitionTypeByDimension(t-1)]))}}},{key:"tensorShapeFromTensor",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return Bye(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;tie(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=Qae(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r}},{key:"calculateFirstParentOutputIndex",value:function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return F$(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a}},{key:"calculateOutputIndexRowSplit",value:function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),c=t[o];-1===c&&(u=0);for(var l=0;l<u;++l)i.push(c),c+=n;for(var h=0;h<s-u;++h)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i}},{key:"calculateOutputIndexValueRowID",value:function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId=".concat(s,", which is not less than ").concat(t.length));var u=t[s];i.push(u);for(var c=1;c<a;++c){var l=e[c];if(l===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=l,l>=t.length)throw new Error("Got nextValueRowId=".concat(l," which is not less than ").concat(t.length));u=t[l]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i}},{key:"calculateOutputIndex",value:function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case Lye.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case Lye.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: ".concat(Lye[i]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case Lye.FIRST_DIM_SIZE:return e[0];case Lye.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Lye.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(Lye[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=Bye(t,!1),i=K$(this.valuesDType,L$(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]}},{key:"setOutput",value:function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=L$(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;e8((function(){var e=W8(c,l),t=r7(e,o);c=t.dataSync()}))}for(var h=0,p=0,f=0,d=0;d<=u;++d){var v=d<u?t[d]:-1;if(v!==f){if(p<f){var m=a.subarray(h*s);Pye(i.subarray(p*s),m,(f-p)*s)}if(d>=u){var g=n.length;v=Math.floor(g/s)}if(v>f)if(1===this.defaultValue.length)i.subarray(f*s,v*s).fill(this.defaultValue[0]),f=v;else for(;v>f;){Pye(i.slice(f*s),c,s),++f}v<0?(h=d+1,p=f):(h=d,f=(p=f)+1)}else++f}}}}],[{key:"getMaxWidthRowSplit",value:function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n}},{key:"getMaxWidthValueRowID",value:function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)}}]),e}();function Pye(e,t,n){for(var r=0;r<n;r++)e[r]=t[r]}function Bye(e,t){var n,r=[],a=O(e);try{for(a.s();!(n=a.n()).done;){var i=n.value;if(i<0){if(!t)throw new Error("Dimension ".concat(i," must be >= 0"));if(i<-1)throw new Error("Dimension ".concat(i," must be >= -1"));i=-1}r.push(i)}}catch(e){a.e(e)}finally{a.f()}return r}function Wye(e,t,n,r,a,i,o,s,u,c){return new zye(e,t,n,r,a,i,o,s,u,c).compute()}function Vye(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return l0(0,r);var a=l0(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var Uye=Ige((function(e){return 1/Math.sqrt(e)})),Gye=Sge(H2,Uye),jye={kernelName:H2,backendName:"cpu",kernelFunc:Gye};function Hye(e,t,n,r,a,i,o,s,u,c){var l=[r/a,a],h=e.values,p=t.values;if(0===r)return K6(n,t.dtype);var f=u instanceof $4?u:K6(l,t.dtype);"string"==typeof u||"number"==typeof u?f.values.fill(u):"boolean"==typeof u&&f.values.fill(+u);for(var d=0;d<i;d++){for(var v=[],m=0,g=0;g<o;g++){var y=h[d*o+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/a)throw new Error("Invalid indices: ".concat(v," does not index into ").concat(n));for(var b=0;b<a;b++)c?f.values[m*a+b]+=p[d*a+b]:f.values[m*a+b]=0===t.rank?p[0]:p[d*a+b]}return f}var qye=Ige((function(e){return 1/(1+Math.exp(-e))})),Kye=Nge(t3,(function(e){return 1/(1+Math.exp(-e))})),Xye={kernelName:t3,backendName:"cpu",kernelFunc:Kye};function Yye(e,t,n,r,a){var i=Pae(r,t,n),o=L$(n),s=i0(r);if(i){var u=Bae(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=K6(r,a,"string"===a?Yie(e):e),l=K6(n,a),h=0;h<l.size;++h){var p=l.indexToLoc(h),f=p.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,T(f))].concat(T(p)))}return"string"===a?Jie(l.values):l.values}function Jye(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;Jme(a,"slice");var s=S(Wae(a,i,o),2),u=s[0],c=s[1];Cae(a,u,c);var l=Yye(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var Zye={kernelName:Z2,backendName:"cpu",kernelFunc:Jye};function Qye(e,t,n,r,a,i,o){var s=t[0],u=i[0],c=new Array(u),l=new Array(s),h=t[1];if(0===u){if(0!==s)throw new Error(Die(s));return[K$(n,0),[0,h],K$(a,0),c,l]}for(var p=!0,f=0,d=new Array(u).fill(0),v=0;v<s;++v){var m=e[v*h];if(m<0)throw new Error(Mie(v,m));if(m>=u)throw new Error(Lie(v,m,u));++d[m],p=p&&m>=f,f=m}for(var g=!0,y=0;y<u;++y){var b=0===d[y];c[y]=b,g=g&&!b,d[y]=Math.max(d[y],1),y>0&&(d[y]+=d[y-1])}if(g&&p){for(var x=e,k=r,w=0;w<s;++w)l[w]=w;return[x,[s,h],k,c,l]}for(var I=d[u-1],N=K$(n,I*h),S=K$(a,I),T=new Array(u).fill(0),E=0;E<s;++E){var C=e[E*h],A=T[C],R=(0===C?0:d[C-1])+A;T[C]++;for(var _=0;_<h;++_)N[R*h+_]=e[E*h+_];S[R]=r[E],l[E]=R}for(var O=0;O<u;++O){if(0===T[O]){var F=0===O?0:d[O-1];N[F*h+0]=O;for(var D=1;D<h;++D)N[F*h+D]=0;S[F]=o}}return[N,[I,h],S,c,l]}function $ye(e,t,n,r,a){for(var i=L$(r),o=t[0],s=a.length,u=[],c=1,l=-1,h=0;h<s;++h){var p=a[h];if(-1===p){if(-1!==l)throw new Error(zie(l,h));l=h,u.push(1)}else{if(p<0)throw new Error(Pie(h,p));c*=p,u.push(p)}}if(-1!==l){if(c<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");var f=Math.trunc(i/c);if(c*f!==i)throw new Error(Wie(r,u));u[l]=f}if(L$(u)!==i)throw new Error(Vie(r,u));var d=r.length,v=[];if(d>0){v[d-1]=1;for(var m=d-2;m>=0;--m)v[m]=v[m+1]*r[m+1]}var g=[];if(s>0){g[s-1]=1;for(var y=s-2;y>=0;--y)g[y]=g[y+1]*u[y+1]}for(var b=K$(n,o*s),x=0;x<o;++x){for(var k=0,w=0;w<d;++w)k+=e[x*d+w]*v[w];for(var I=0;I<s;++I)b[x*s+I]=Math.trunc(k/g[I]),k%=g[I]}return[b,[o,s],u]}function ebe(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]&&arguments[5],o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=r.length,u=[t[0],e.length/t[0]],c=u[1],l=s>0?a[s-1]+1:0,h=l;if(h<0)throw new Error("segment ids must be >= 0");var p=t.slice();p[0]=h;var f=p.reduce((function(e,t){return e*t}),1),d=K$(n,f);if(0===s)return h>0&&d.fill(o),[d,p];if(h<=0)throw new Error("segment ids must be >= 0");for(var v=0,m=1,g=0,y=a[v];;){var b=0;if(m<s){if(y===(b=a[m])){++m;continue}if(y>=b)throw new Error("segment ids are not increasing")}if(y<0||y>=h)throw new Error(jie(y,h));y>g&&d.fill(o,g*c,y*c);for(var x=v;x<m;++x){var k=r[x];if(k<0||k>=u[0])throw new Error(Hie(x,r[x],u[0]));for(var w=0;w<c;w++)d[y*c+w]+=e[k*c+w]}if(i)for(var I=0;I<c;I++)d[y*c+I]/=m-v;if(v=m,g=y+1,y=b,++m>s)break}return g<h&&d.fill(o,g*c,h*c),[d,p]}var tbe=Ige((function(e){return Math.sqrt(e)})),nbe=Nge(r3,(function(e){return Math.sqrt(e)})),rbe={kernelName:r3,backendName:"cpu",kernelFunc:nbe},abe=tge((function(e,t){var n=e-t;return n*n})),ibe=pge(f3,abe),obe={kernelName:f3,backendName:"cpu",kernelFunc:ibe},sbe=Ige((function(e,t){var n=t.pattern,r=t.replaceGlobal,a=t.rewrite;return e.replace(new RegExp(n,r?"g":""),a)})),ube=Sge(v3,sbe),cbe={kernelName:v3,backendName:"cpu",kernelFunc:ube};function lbe(e,t,n,r){for(var a=K6(e,t.dtype),i=0;i<a.size;i++){for(var o=a.indexToLoc(i),s=new Array(o.length),u=0;u<s.length;u++)s[u]=o[u]*n[u]+r[u];a.set.apply(a,[t.get.apply(t,s)].concat(T(o)))}return a}var hbe=function(){function e(t,n,r,a,i,o){l(this,e),this.separator=B4(t),this.nGramWidths=n,this.leftPad=B4(r),this.rightPad=B4(a),this.padWidth=i,this.preserveShort=o}return p(e,[{key:"getPadWidth",value:function(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}},{key:"getNumNGrams",value:function(e,t){var n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}},{key:"createNGrams",value:function(e,t,n,r,a,i){for(var o=this,s=function(){var s=o.getPadWidth(i),c=Math.max(0,s-u),l=Math.max(0,s-(a-(u+1))),h=i-(c+l),p=t+(c>0?0:u-s),f=0;f+=c*o.leftPad.length;for(var d=0;d<h;++d)f+=e[p+d].length;f+=l*o.rightPad.length,f+=(c+l+h-1)*o.separator.length,n[r+u]=new Uint8Array(f);for(var v=n[r+u],m=0,g=function(e){return e.forEach((function(e){return v[m++]=e}))},y=0;y<c;++y)g(o.leftPad),g(o.separator);for(var b=0;b<h-1;++b)g(e[p+b]),g(o.separator);if(h>0){g(e[p+h-1]);for(var x=0;x<l;++x)g(o.separator),g(o.rightPad)}else{for(var k=0;k<l-1;++k)g(o.rightPad),g(o.separator);g(o.rightPad)}},u=0;u<a;++u)s()}},{key:"compute",value:function(e,t){var n=this,r=e.length,a=t.length;if(a>0){var i=t[0];if(0!==i)throw new Error("First split value must be 0, got ".concat(i));for(var o=1;o<a;++o){var s=t[o]>=i;if(!(s=s&&t[o]<=r))throw new Error("Invalid split value ".concat(t[o],", must be in [").concat(i,", ").concat(r,"]"));i=t[o]}if(i!==r)throw new Error("Last split value must be data size. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;Jme([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,c=r.pad,l=N8(o.shape,s,u,1,c),h=l.strideHeight,p=l.strideWidth,f=l.filterHeight,d=l.filterWidth,v=l.dilationHeight,m=l.dilationWidth,g=l.effectiveFilterHeight,y=l.effectiveFilterWidth,b=y-1-l.padInfo.left,x=g-1-l.padInfo.top,k=K6(o.shape,"float32"),w=1/(f*d),I=n.data.get(a.dataId).values,N=K6(a.shape,"float32",I),S=0;S<l.batchSize;++S)for(var T=0;T<l.inChannels;++T)for(var E=0;E<l.inHeight;++E)for(var C=0;C<l.inWidth;++C){for(var A=E-x,R=C-b,_=0,O=0;O<g;O+=v){var F=(A+O)/h;if(!(F<0||F>=l.outHeight||Math.floor(F)!==F))for(var D=0;D<y;D+=m){var M=(R+D)/p;if(!(M<0||M>=l.outWidth||Math.floor(M)!==M))_+=N.get(S,F,M,T)}}k.set(_*w,S,E,C,T)}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var gxe={kernelName:M1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;F$(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),F$(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),F$(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),Jme([a,s,u,i,o],"batchNorm");var c=r.varianceEpsilon;null==c&&(c=.001);for(var l=n.data.get(a.dataId).values,h=n.data.get(s.dataId).values,p=n.data.get(u.dataId).values,f=i?n.data.get(i.dataId).values:new Float32Array([1]),d=o?n.data.get(o.dataId).values:new Float32Array([0]),v=new Float32Array(l.length),m=d.length,g=f.length,y=p.length,b=h.length,x=0,k=0,w=0,I=0,N=0;N<l.length;++N)v[N]=d[x++]+(l[N]-h[k++])*f[w++]/Math.sqrt(p[I++]+c),x>=m&&(x=0),k>=b&&(k=0),w>=g&&(w=0),I>=y&&(I=0);return n.makeTensorInfo(a.shape,a.dtype,v)}};var yxe={kernelName:G0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Jme([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=aie(a.shape,i,s),c=iie(u.length,i.length),l=oie(a.shape,i,s),h=sie(o,i.length),p=uie(l,o,i.length),f=Bbe({inputs:{x:a},backend:n,attrs:{shape:u}}),d=Tye({inputs:{x:f},backend:n,attrs:{perm:c}}),v=Bbe({inputs:{x:d},backend:n,attrs:{shape:l}}),m=Jye({inputs:{x:v},backend:n,attrs:{begin:h,size:p}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(v),m}};var bxe={kernelName:j0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=yge(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}};var xxe={kernelName:K0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=A7(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},kxe=Nge(J0,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),wxe={kernelName:J0,backendName:"cpu",kernelFunc:kxe},Ixe={kernelName:Q0,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new Float32Array(L$(t.shape)),a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,c=0;c<s.length;c++){var l=s[c],h=u[c];r[c]=Math.hypot(l,h)}return n.makeOutput(r,t.shape,"float32")}};function Nxe(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.imag,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var Sxe={kernelName:U1,backendName:"cpu",kernelFunc:Nxe};function Txe(e){var 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h=P8(u),p=T8(a.shape,l,o,1,s,c,!1,h),f=p.strideHeight,d=p.strideWidth,v=p.filterHeight,m=p.filterWidth,g="channelsLast"===p.dataFormat,y=new $4(p.filterShape,"float32"),b=p.padInfo.left,x=p.padInfo.top,k=n.data.get(a.dataId).values,w=n.data.get(i.dataId).values,I=new $4(a.shape,a.dtype,k),N=new $4(i.shape,i.dtype,w),S=0;S<v;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),E=Math.min(p.outHeight,(p.inHeight+x-S)/f),C=0;C<m;++C)for(var A=Math.max(0,Math.ceil((b-C)/d)),R=Math.min(p.outWidth,(p.inWidth+b-C)/d),_=0;_<p.inChannels;++_)for(var O=0;O<p.outChannels;++O){for(var F=0,D=0;D<p.batchSize;++D)for(var M=T;M<E;++M)for(var L=S+M*f-x,z=A;z<R;++z){var P=C+z*d-b;F+=g?I.get(D,L,P,_)*N.get(D,M,z,O):I.get(D,_,L,P)*N.get(D,O,M,z)}y.set(F,S,C,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var _xe={kernelName:n1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode;Jme([a,i],"conv2dBackpropInput");var h=i0(i.shape),p=i0(a.shape),f=P8(c),d=T8(o,i.shape,s,1,u,l,!1,f),v=new $4(d.inShape,"float32"),m=v.values,g=n.data.get(a.dataId).values,y=n.data.get(i.dataId).values,b=S(h,3),x=b[0],k=b[1],w=b[2],I=d.batchSize,N=d.filterHeight,T=d.filterWidth,E=d.inChannels,C=d.inHeight,A=d.inWidth,R=d.outChannels,_=d.outHeight,O=d.outWidth,F=d.strideHeight,D=d.strideWidth;f=d.dataFormat;for(var M=N-1-d.padInfo.top,L=T-1-d.padInfo.left,z="channelsLast"===f,P=v.strides[0],B=z?v.strides[1]:v.strides[2],W=z?v.strides[2]:1,V=z?1:v.strides[1],U=p[0],G=z?p[1]:p[2],j=z?p[2]:1,H=z?1:p[1],q=0;q<I;++q)for(var K=0;K<E;++K)for(var X=0;X<C;++X)for(var Y=X-M,J=Math.max(0,Math.ceil(Y/F)),Z=Math.min(_,(N+Y)/F),Q=0;Q<A;++Q){for(var $=Q-L,ee=Math.max(0,Math.ceil($/D)),te=Math.min(O,(T+$)/D),ne=0,re=J;re<Z;++re)for(var ae=re*F-Y,ie=ee;ie<te;++ie)for(var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;Jme(a,"cumprod");var u=H7([i],a.shape.length),c=a;null!=u&&(c=Tye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=K7(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=c0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?1:f[y];else{var b=v(m,g-1);p[y]=o?f[b]*p[b]:f[y]*p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=Tye({inputs:{x:x},backend:n,attrs:{perm:q7(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var Vxe={kernelName:c1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;Jme(a,"cumsum");var u=H7([i],a.shape.length),c=a;null!=u&&(c=Tye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=K7(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=l0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?0:f[y];else{var b=v(m,g-1);p[y]=o?f[b]+p[b]:f[y]+p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=Tye({inputs:{x:x},backend:n,attrs:{perm:q7(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var Uxe={kernelName:h1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=yge(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=bge(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var Gxe={kernelName:p1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;F$("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;Jme([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=T8(a.shape,l,o,s,u,c,!0),p=h.strideHeight,f=h.strideWidth,d=h.filterHeight,v=h.filterWidth,m=new $4(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,x=n.data.get(a.dataId).values,k=new $4(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,I=new $4(i.shape,i.dtype,w),N=0;N<d;++N)for(var S=Math.max(0,Math.ceil((y-N)/p)),T=Math.min(h.outHeight,(h.inHeight+y-N)/p),E=0;E<v;++E)for(var C=Math.max(0,Math.ceil((g-E)/f)),A=Math.min(h.outWidth,(h.inWidth+g-E)/f),R=0;R<h.outChannels;++R){for(var _=Math.trunc(R/b),O=R%b,F=0,D=0;D<h.batchSize;++D)for(var M=S;M<T;++M)for(var L=N+M*p-y,z=C;z<A;++z){var P=E+z*f-g;F+=k.get(D,L,P,_)*I.get(D,M,z,R)}m.set(F,N,E,_,O)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var Kxe={kernelName:v1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.inputShape;Jme([a,i],"depthwiseConv2DNativeBackpropInput");for(var h=i0(a.shape),p=i0(i.shape),f=T8(l,i.shape,o,s,u,c,!0),d=new $4(f.inShape,"float32"),v=d.values,m=S(d.strides,3),g=m[0],y=m[1],b=m[2],x=n.data.get(a.dataId).values,k=S(h,3),w=k[0],I=k[1],N=k[2],T=n.data.get(i.dataId).values,E=S(p,3),C=E[0],A=E[1],R=E[2],_=f.batchSize,O=f.filterHeight,F=f.filterWidth,D=f.inChannels,M=f.inHeight,L=f.inWidth,z=f.outChannels,P=f.outHeight,B=f.outWidth,W=f.strideHeight,V=f.strideWidth,U=O-1-f.padInfo.top,G=F-1-f.padInfo.left,j=z/D,H=0;H<_;++H)for(var q=0;q<D;++q)for(var K=0;K<M;++K)for(var X=K-U,Y=Math.max(0,Math.ceil(X/W)),J=Math.min(P,(O+X)/W),Z=0;Z<L;++Z){for(var Q=Z-G,$=Math.max(0,Math.ceil(Q/V)),ee=Math.min(B,(F+Q)/V),te=0,ne=Y;ne<J;++ne)for(var re=ne*W-X,ae=$;ae<ee;++ae)for(var ie=w*H+I*ne+N*ae,oe=C*(O-1-re)+A*(F-1-(ae*V-Q))+R*q,se=0;se<j;++se){te+=x[ie+(q*j+se)]*T[oe+se]}v[g*H+y*K+b*Z+q]=te}return n.makeTensorInfo(d.shape,d.dtype,d.values)}};var Xxe={kernelName:m1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=L$(r.shape),i=n.data.get(r.dataId).values,o=K6([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var c=[].concat(T(r.shape),T(r.shape));return n.makeTensorInfo(c,o.dtype,o.values)}},Yxe={kernelName:g1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,p=c.data.get(i.dataId).values,f=i.shape.length,d=I8(a.shape,i.shape,o,s,"NHWC",u),v=d.batchSize,m=d.inHeight,g=d.inWidth,y=d.inChannels,b=d.outHeight,x=d.outWidth,k=d.padInfo,w=d.strideHeight,I=d.strideWidth,N=d.filterHeight,S=d.filterWidth,T=d.dilationHeight,E=d.dilationWidth,C=d.outShape,A=L$(C),R=C.length,_=K$(a.dtype,A),O=0;O<v;++O)for(var F=0;F<b;++F)for(var D=F*w-k.top,M=0;M<x;++M)for(var L=M*I-k.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=D+B*T;if(W>=0&&W<m)for(var V=0;V<S;++V){var U=L+V*E;if(U>=0&&U<g){var G=f0([O,W,U,z],h,i0(a.shape)),j=f0([B,V,z],f,i0(i.shape)),H=l[G]+p[j];H>P&&(P=H)}}}_[f0([O,F,M,z],R,i0(C))]=P}return{dataId:c.write(L4(_,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},Jxe={kernelName:b1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,c=r.dilations,l=n,h=s0(a.shape,l.data.get(a.dataId).values),p=s0(i.shape,l.data.get(i.dataId).values),f=I8(a.shape,i.shape,s,u,"NHWC",c),d=f.batchSize,v=f.inHeight,m=f.inWidth,g=f.inChannels,y=f.outHeight,b=f.outWidth,x=f.padInfo,k=f.strideHeight,w=f.strideWidth,I=f.filterHeight,N=f.filterWidth,S=f.dilationHeight,T=f.dilationWidth,E=f.outShape;F$(o.rank===E.length,(function(){return"Error in ".concat(b1,", dy ")+"must have the same rank as output ".concat(E.length,", but got ")+"".concat(o.rank)}));for(var C=s0(E,l.data.get(o.dataId).values),A=h0(i.shape,i.dtype),R=0;R<d;++R)for(var _=0;_<y;++_)for(var O=_*k-x.top,F=0;F<b;++F)for(var D=F*w-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=0,P=0,B=0;B<I;++B){var W=O+B*S;if(W>=0&&W<v)for(var V=0;V<N;++V){var U=D+V*T;if(U>=0&&U<m){var 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f=S(U7(p.shape,h),2),d=f[0],v=f[1],m=age(r,d,h5(p.dtype,"int32")),g=L$(v),y=r.data.get(m.dataId).values,b=r.data.get(p.dataId).values,x=0;x<y.length;++x){for(var k=x*g,w=0,I=0;I<g;++I)w+=b[k+I];y[x]=w}if(s){var N=m;m=Bbe({inputs:{x:m},backend:r,attrs:{shape:G7(m.shape,c)}}),r.disposeIntermediateTensorInfo(N)}return r.disposeIntermediateTensorInfo(t),null!=l&&r.disposeIntermediateTensorInfo(p),m}var eke={kernelName:a3,backendName:"cpu",kernelFunc:$xe};var tke={kernelName:w1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=Eie(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;Aie(i.length,s,r);for(var u=Rie(o,s),c=u.path,l=u.steps,h=l.length,p=null,f=i.length,d=[],v=0;v<h;++v){var m,g=O(l[v]);try{for(g.s();!(m=g.n()).done;){var y=m.value,b=Cie(f,s[y]),x=b.permutationIndices,k=b.expandDims,w=void 0;_ie(x)?w=r[y]:(w=Tye({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(w));for(var 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gke={kernelName:M3,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,c=r.pad,l=r.dataFormat,h=r.dilations,p=r.dimRoundingMode,f=r.activation,d=r.leakyreluAlpha,v=Cxe({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:c,dataFormat:l,dilations:h,dimRoundingMode:p}});if(o){var m=v;if("NCHW"===l&&1===o.shape.length&&1!==o.shape[0]){var g=Bbe({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});v=mge({inputs:{a:v,b:g},backend:n}),n.disposeIntermediateTensorInfo(g)}else v=mge({inputs:{a:v,b:o},backend:n});n.disposeIntermediateTensorInfo(m)}if(f){var y=v;if("NCHW"===l&&"prelu"===f&&1===s.shape.length&&1!==s.shape[0]){var b=Bbe({inputs:{x:s},backend:n,attrs:{shape:[s.shape[0],1,1]}});v=Pbe(n,v,f,b,d),n.disposeIntermediateTensorInfo(b)}else v=Pbe(n,v,f,s,d);n.disposeIntermediateTensorInfo(y)}return v}};var yke={kernelName:L3,backendName:"cpu",kernelFunc:function(e){var 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u=s?a:ewe({inputs:{logits:a},backend:n,attrs:{dim:-1}}),c=u.shape[0],l=u.shape[1],h=n.data.get(u.dataId).values,p=[c,i],f=l0(L$(p),"int32"),d=0;d<c;++d){var v=d*l,m=new Float32Array(l-1);m[0]=h[v];for(var g=1;g<m.length;++g)m[g]=m[g-1]+h[v+g];for(var y=Pee.alea(o.toString()),b=d*i,x=0;x<i;++x){var k=y();f[b+x]=m.length;for(var w=0;w<m.length;w++)if(k<m[w]){f[b+x]=w;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(p,"int32",f)}},rwe=Pne;var awe={kernelName:x2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;Jme(a,"NonMaxSuppression");var c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=rwe(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},iwe=Bne;var owe={kernelName:k2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize;Jme(a,"NonMaxSuppressionPadded");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=iwe(l,h,o,s,u,c),f=p.selectedIndices,d=p.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},swe=Wne;var uwe={kernelName:w2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma;Jme(a,"NonMaxSuppressionWithScore");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=swe(l,h,o,s,u,c),f=p.selectedIndices,d=p.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var cwe={kernelName:N2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;Jme(a,"oneHot");var c=L$(a.shape),l=new Float32Array(c*o);l.fill(u);for(var h=n.data.get(a.dataId).values,p=0;p<c;++p)h[p]>=0&&h[p]<o&&(l[p*o+h[p]]=s);return n.makeTensorInfo([].concat(T(a.shape),[o]),i,l)}};function lwe(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=sge({inputs:{input:r},backend:n}),i=lwe({inputs:{x:a},backend:n}),o=Nxe({inputs:{input:r},backend:n}),s=lwe({inputs:{x:o},backend:n}),u=nge({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return dke({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var hwe={kernelName:R3,backendName:"cpu",kernelFunc:lwe};var pwe={kernelName:I2,backendName:"cpu",kernelFunc:function e(t){var 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function(e,t,n){if(n)return"\n    ivec3 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ")}(e,t,n);default:return function(e,t,n){if(n)return"\n    ivec4 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatchN = texelsInBatch * outShape[1];\n\n      int b2 = index / texelsInBatchN;\n      index -= b2 * texelsInBatchN;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  ";for(var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),i=a*Math.ceil(e[e.length-2]/2),o=i,s="",u="b, r, c",c=2;c<e.length-1;c++)o*=e[e.length-c-1],s="\n      int b".concat(c," = index / ").concat(o,";\n      index -= b").concat(c," * ").concat(o,";\n    ")+s,u="b".concat(c,", ")+u;return"\n    ivec".concat(e.length," getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(").concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      ").concat(s,"\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec").concat(e.length,"(").concat(u,");\n    }\n  ")}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(vec4 val) {\n      ".concat(e.output," = val;\n    }\n  ")}(c)):(a=function(e,t,n){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t,n){if(1===t[0])return n?"\n      int getOutputCoords() {\n        return int(resultUV.x * float(outTexShape[1]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.x * ".concat(t[1],".0);\n      }\n    ");if(1===t[1])return n?"\n      int getOutputCoords() {\n        return int(resultUV.y * float(outTexShape[0]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.y * ".concat(t[0],".0);\n      }\n    ");if(n)return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      return resTexRC.x * outTexShape[1] + resTexRC.y;\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      return resTexRC.x * ").concat(t[1]," + resTexRC.y;\n    }\n  ")}(0,t,n);case 2:return function(e,t,n){if(P$(e,t))return n?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(".concat(t[0],", ").concat(t[1],"));\n      }\n    ");if(1===e[1])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ");if(1===e[0])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ");if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      int r = index / outShape[1];\n      int c = index - r * outShape[1];\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return function(e,t,n){if(n){var r=_Ne(["r","c","d"],e);return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    ".concat(r,"\n    return ivec3(r, c, d);\n  }\n")}var a=RNe(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t,n);case 4:return function(e,t,n){if(n){var r=_Ne(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      ".concat(r,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}var a=RNe(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}(e,t,n);case 5:return r=t,a=RNe(["r","c","d","d2","d3"],e),"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(r[0],",\n                             ").concat(r[1],"));\n\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      ").concat(a,"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ");case 6:return function(e,t){var n=RNe(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ")}(e,t);default:throw new Error("".concat(e.length,"-D output sampling is not yet supported"))}var r,a}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      ".concat(e.output," = vec4(val, 0, 0, 0);\n    }\n  ")}(c)),n.packedInputs&&(h+=UNe),[h,l,i,o,a,s,n.userCode].join("\n")}function zNe(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return jNe(e,t);case 1:return HNe(e,t);case 2:return qNe(e,t);case 3:return KNe(e,t);case 4:return XNe(e,t);case 5:return YNe(e);case 6:return JNe(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function PNe(e,t){var n,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=ANe(),"\n    vec4 ".concat(r,"() {\n      return ").concat(a.texture2D,"(").concat(n,", halfCR);\n    }\n  ");case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=ANe();if(t)return"\n    vec4 ".concat(r,"(int index) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n      vec2 uv = packedUVfrom1D(\n        packedTexShape[0], packedTexShape[1], index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ");var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 ".concat(r,"(int index) {\n      vec2 uv = packedUVfrom1D(\n        ").concat(o[0],", ").concat(o[1],", index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ")}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=i[0],s=i[1],u=ANe();if(null!=i&&P$(n,i))return t?"\n      vec4 ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n\n        return ").concat(u.texture2D,"(").concat(r,", uv);\n      }\n    "):"\n      vec4 ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n\n        return ").concat(u.texture2D,"(").concat(r,", uv);\n      }\n    ");if(t)return"\n    vec4 ".concat(a,"(int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);\n      return ").concat(u.texture2D,"(").concat(r,", uv);\n    }\n  ");var c=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(n[1]/2);return"\n    vec4 ".concat(a,"(int row, int col) {\n      vec2 uv = packedUVfrom2D(").concat(l,", ").concat(c[0],", ").concat(c[1],", row, col);\n      return ").concat(u.texture2D,"(").concat(r,", uv);\n    }\n  ")}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0]){var s=[1,2],u=nSe(e,n.slice(1)),c=["b","row","col"];return"\n        ".concat(PNe(u,t),"\n        vec4 ").concat(a,"(int b, int row, int col) {\n          return ").concat(a,"(").concat(rSe(c,s),");\n        }\n      ")}var l=ANe();if(t)return"\n    vec4 ".concat(a,"(int b, int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float(").concat(r,"Shape[2]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom3D(\n        packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n      return ").concat(l.texture2D,"(").concat(r,", uv);\n    }\n  ");var h=o[0],p=o[1],f=Math.ceil(n[2]/2),d=f*Math.ceil(n[1]/2);return"\n    vec4 ".concat(a,"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ").concat(h,", ").concat(p,", ").concat(d,", ").concat(f,", b, row, col);\n      return ").concat(l.texture2D,"(").concat(r,", uv);\n    }\n  ")}(e,t);default:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=ANe();if(t)return"\n    vec4 ".concat(r,"(int b2, int b, int row, int col) {\n      int valuesPerRow = int(ceil(float(").concat(n,"Shape[3]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float(").concat(n,"Shape[2]) / 2.0));\n      int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);\n      texelsInBatch *= ").concat(n,"Shape[1];\n      index = b2 * texelsInBatch + index;\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n      int texR = index / packedTexShape[1];\n      int texC = index - texR * packedTexShape[1];\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return ").concat(a.texture2D,"(").concat(n,", uv);\n    }\n  ");for(var i=e.shapeInfo.logicalShape,o=i.length,s=e.shapeInfo.texShape,u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],c=u[0],l=u[1],h=Math.ceil(i[o-1]/2),p=h*Math.ceil(i[o-2]/2),f="int b, int row, int col",d="b * ".concat(p," + (row / 2) * ").concat(h," + (col / 2)"),v=2;v<o-1;v++)f="int b".concat(v,", ")+f,p*=i[o-v-1],d="b".concat(v," * ").concat(p," + ")+d;return"\n    vec4 ".concat(r,"(").concat(f,") {\n      int index = ").concat(d,";\n      int texR = index / ").concat(l,";\n      int texC = index - texR * ").concat(l,";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(l,", ").concat(c,");\n      return ").concat(a.texture2D,"(").concat(n,", uv);\n    }\n  ")}(e,t)}}var BNe="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",WNe="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",VNe="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",UNe="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function GNe(e){return"offset".concat(e)}function jNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float ".concat(r,"() {return ").concat(n,";}");var a=S(e.shapeInfo.texShape,2),i=a[0],o=a[1];if(1===i&&1===o)return"\n      float ".concat(r,"() {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=GNe(n);if(t)return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");var u=S(e.shapeInfo.texShape,2),c=u[0],l=u[1];return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(c,", ").concat(l,", ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function HNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int index) {\n        ").concat(ZNe(e),"\n      }\n    ");var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n      float ".concat(r,"(int index) {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=GNe(n);return 1===o?t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[0]));\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / ").concat(i,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):1===i?t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / ").concat(o,".0, 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):t?"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  "):"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(i,", ").concat(o,", index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function qNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&P$(n,i)){if(t)return"\n      float ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var o=i[0],s=i[1];return"\n    float ".concat(a,"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}var u=H$(n),c=u.newShape,l=u.keptDims,h=c;if(h.length<n.length){var p=nSe(e,h);return"\n      ".concat(zNe(p,t),"\n      float ").concat(a,"(int row, int col) {\n        return ").concat(a,"(").concat(rSe(["row","col"],l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(").concat(n[1],", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var f=i[0],d=i[1],v=GNe(r);return 1===d?t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2(0.5, (index + 0.5) / float(").concat(r,"TexShape[0]));\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):1===f?t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2((index + 0.5) / float(").concat(r,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2((index + 0.5) / ").concat(d,".0, 0.5);\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):t?"\n      float ".concat(a,"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(r,"Shape[1] + col + ").concat(v,";\n        vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n  float ".concat(a,"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ").concat(n[1]," + col + ").concat(v,";\n    vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n    return sampleTexture(").concat(r,", uv);\n  }\n")}function KNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=H$(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var h=nSe(e,l);return"\n        ".concat(zNe(h,t),"\n        float ").concat(a,"(int row, int col, int depth) {\n          return ").concat(a,"(").concat(rSe(["row","col","depth"],c),");\n        }\n      ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(").concat(i,", ").concat(o,", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var p=e.shapeInfo.texShape,f=p[0],d=p[1],v=e.shapeInfo.flatOffset;if(d===i&&null==v)return t?"\n      float ".concat(a,"(int row, int col, int depth) {\n        int stride1 = ").concat(r,"Shape[2];\n        float texR = float(row);\n        float texC = dot(vec2(col, depth), vec2(stride1, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   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float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(d,".0, ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");var m=GNe(r);return t?"\n    float ".concat(a,"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = ").concat(r,"Shape[1] * ").concat(r,"Shape[2];\n      int stride1 = ").concat(r,"Shape[2];\n      int index = row * stride0 + col * stride1 + depth + ").concat(m,";\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n      return sampleTexture(").concat(r,", uv);\n    }\n    "):"\n      float ".concat(a,"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(i," + col * ").concat(o," + depth + ").concat(m,";\n        vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n        return sampleTexture(").concat(r,", uv);\n     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depth2;\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," +\n          depth * ").concat(i," + depth2;\n      vec2 uv = uvFromFlat(").concat(d,", ").concat(v,", index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}function YNe(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=H$(t),c=u.newShape,l=u.keptDims;if(c.length<t.length){var h=nSe(e,c);return"\n      ".concat(zNe(h),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(rSe(["row","col","depth","depth2","depth3"],l),");\n      }\n    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col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3],",\n               ").concat(t[2]*t[3],", ").concat(t[3],", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var m=GNe(n);return"\n    float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," + depth * ").concat(i," +\n          depth2 * ").concat(a," + depth3 + ").concat(m,";\n      vec2 uv = uvFromFlat(").concat(d,", ").concat(v,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function JNe(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=H$(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=nSe(e,i);return"\n      ".concat(zNe(s),"\n      float ").concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ").concat(r,"(").concat(rSe(["row","col","depth","depth2","depth3","depth4"],o),");\n      }\n    ")}var u=t[5],c=t[4]*u,l=t[3]*c,h=t[2]*l,p=t[1]*h;if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(p,", ").concat(h,", ").concat(l,", ").concat(c,")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(").concat(u,", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,v=d[0],m=d[1];if(m===p&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(").concat(h,", ").concat(l,", ").concat(c,", ").concat(u,")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(m===u&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3]*t[4],",\n               ").concat(t[2]*t[3]*t[4],",\n               ").concat(t[3]*t[4],",\n               ").concat(t[4],")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var g=GNe(n);return"\n    float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // 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p="";p=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(h[t+l])})).join(", ");var f="return outputValue;",d=1===L$(e.shapeInfo.logicalShape),v=1===L$(t.logicalShape);if(1!==o||d||v){if(d&&!v)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var m=o-2,g=o-1;u.indexOf(m)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(m)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 ".concat(i,"() {\n      ").concat(c," coords = getOutputCoords();\n      ").concat(n,"\n      vec4 outputValue = get").concat(a,"(").concat(p,");\n      ").concat(f,"\n    }\n  ")}function $Ne(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&P$(o,i))return"\n      float ".concat(a,"() {\n        return sampleTexture(").concat(n,", resultUV);\n      }\n    ");var c,l=eSe(u),h=MNe(e.shapeInfo.logicalShape,t.logicalShape),p=u-s,f=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(e){return"coords.".concat(f[e+p]," = 0;")})).join("\n");var d="";return d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(f[t+p])})).join(", "),"\n    float ".concat(a,"() {\n      ").concat(l," coords = getOutputCoords();\n      ").concat(c,"\n      return get").concat(r,"(").concat(d,");\n    }\n  ")}function eSe(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank ".concat(e," is not yet supported"))}function tSe(e,t,n){var r=H$(t),a=r.newShape,i=r.keptDims,o=t.length,s=e&&3===o&&1===t[0],u=s?t.slice(1):a,c=!e&&o>1&&!P$(t,n)&&a.length<o||s;return{useSqueezeShape:c,uniformShape:c?u:t,keptDims:i}}function nSe(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function rSe(e,t){return t.map((function(t){return e[t]})).join(", ")}function aSe(e,t,n,r){var a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=a.map((function(e){return e.shapeInfo})),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=LNe(a,o,t),u=VIe(e.gl,s),c=e.createProgram(u);return k0().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(e.buildVao(c),Object.assign({program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o},iSe(e,t,c)))}function iSe(e,t,n){var r,a,i,o,s=[],u=[],c=null;o=e.getUniformLocation(n,"NAN",!1),1===k0().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(n,"INFINITY",!1));var l,h=!1,p=O(t.variableNames);try{for(p.s();!(l=p.n()).done;){var f=l.value,d={name:f,uniform:e.getUniformLocation(n,f,h),offset:e.getUniformLocation(n,"offset".concat(f),h)};t.enableShapeUniforms&&(d.shape=e.getUniformLocation(n,"".concat(f,"Shape"),h),d.texShape=e.getUniformLocation(n,"".concat(f,"TexShape"),h)),s.push(d)}}catch(e){p.e(e)}finally{p.f()}if(t.enableShapeUniforms&&(r=e.getUniformLocation(n,"outShape",h),i=e.getUniformLocation(n,"outShapeStrides",h),a=e.getUniformLocation(n,"outTexShape",h)),t.customUniforms){var v,m=O(t.customUniforms);try{for(m.s();!(v=m.n()).done;){var g=v.value;u.push(e.getUniformLocation(n,g.name,h))}}catch(e){m.e(e)}finally{m.f()}}return{variablesLocations:s,customUniformLocations:u,infLoc:c,nanLoc:o,outShapeLocation:r,outShapeStridesLocation:i,outTexShapeLocation:a}}function oSe(e,t){if(e.length!==t.length)throw Error("Binary was compiled with ".concat(e.length," inputs, but ")+"was executed with ".concat(t.length," inputs"));e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!P$(r,i))throw Error("Binary was compiled with different shapes than "+"the current args. Shapes ".concat(r," and ").concat(i," must match"));if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!P$(o,s))throw Error("Binary was compiled with different texture shapes than the"+" current args. Shape ".concat(o," and ").concat(s," must match"))}}))}function sSe(e,t,n,r,a){t.program.enableShapeUniforms||(oSe(t.inShapeInfos,n),oSe([t.outShapeInfo],[r]));var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i.texture,o[0],o[1]):e.setOutputMatrixTexture(i.texture,o[0],o[1]),e.setProgram(t.webGLProgram),e.bindVertexArray(t.webGLProgram.vao),1===k0().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN);for(var s=0;s<n.length;++s){var u=n[s],c=t.variablesLocations[s],l=c.uniform,h=c.offset,p=c.shape,f=c.texShape;if(p){var d=tSe(t.program.packedInputs,u.shape,u.texData.texShape).uniformShape;switch(d.length){case 1:e.gl.uniform1iv(p,new Int32Array(d));break;case 2:e.gl.uniform2iv(p,new Int32Array(d));break;case 3:e.gl.uniform3iv(p,new Int32Array(d));break;case 4:e.gl.uniform4iv(p,new Int32Array(d))}}if(f&&e.gl.uniform2i(f,u.texData.texShape[0],u.texData.texShape[1]),null!=l)if(u.isUniform)if(L$(u.shape)<2)e.gl.uniform1f(l,u.uniformValues[0]);else{var v=u.uniformValues;v instanceof Float32Array||(v=new Float32Array(v)),e.gl.uniform1fv(l,v)}else null!=u.texData.slice&&null!=h&&e.gl.uniform1i(h,u.texData.slice.flatOffset),e.setInputMatrixTexture(u.texData.texture.texture,l,s)}var m=t.outShapeLocation;if(m)switch(r.shape.length){case 1:e.gl.uniform1iv(m,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(m,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(m,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(m,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var g=i0(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(g));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(g));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(g))}}if(t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a)for(var y=0;y<t.program.customUniforms.length;++y){var b=t.program.customUniforms[y],x=t.customUniformLocations[y],k=a[y];if("float"===b.type)e.gl.uniform1fv(x,k);else if("vec2"===b.type)e.gl.uniform2fv(x,k);else if("vec3"===b.type)e.gl.uniform3fv(x,k);else if("vec4"===b.type)e.gl.uniform4fv(x,k);else if("int"===b.type)e.gl.uniform1iv(x,k);else if("ivec2"===b.type)e.gl.uniform2iv(x,k);else if("ivec3"===b.type)e.gl.uniform3iv(x,k);else{if("ivec4"!==b.type)throw Error("uniform type ".concat(b.type," is not supported yet."));e.gl.uniform4iv(x,k)}}e.executeProgram()}function uSe(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var i=t.texData.texShape,o=tSe(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,c=o.keptDims,l="",h="",p="";if(1===u.length&&e.packedInputs){var f=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];l="".concat(f[0]>1,"_").concat(f[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var d=i0(u);p="".concat(d[0]===i[1],"_").concat(d[d.length-1]===i[1])}}else h="".concat(u[0]>1,"_").concat(u[1]>1);var v=t.shape.length,m=2===u.length&&P$(t.shape,i),g=1===L$(t.shape),y=E7(t.shape,n.shape),b=!e.packedInputs&&v===n.shape.length&&P$(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":"".concat(i[0]>1,"_").concat(i[1]>1);r+="".concat(v,"_").concat(b,"_").concat(s?c:"","_").concat(u.length,"_").concat(g,"_").concat(y,"_").concat(m,"_").concat(l,"_").concat(h,"_").concat(p,"_").concat(x,"_").concat(a)}else{var k=t.isUniform?"uniform":t.texData.texShape;r+="".concat(t.shape,"_").concat(k,"_").concat(a)}}));var a=e.userCode,i=e.constructor.name;return i+="_"+r+"_"+a+"".concat(k0().getNumber("WEBGL_VERSION"))}function cSe(e){return k0().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var lSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=SIe.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?_Ne(["r","c","d"],t):RNe(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),hSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=SIe.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?_Ne(["r","c","d"],t):RNe(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),pSe=p((function e(t){l(this,e),this.variableNames=["A"],this.outTexUsage=TIe.DOWNLOAD;var n=ANe();this.outputShape=t,this.userCode="\n      ".concat(DNe,"\n\n      void main() {\n        float x = getAAtOutCoords();\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),fSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=TIe.DOWNLOAD;var n=ANe();this.outputShape=t,this.userCode="\n      ".concat(DNe,"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),dSe={R:0,G:1,B:2,A:3},vSe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"RGBA";l(this,e),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var a=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var i="result";n&&(i="floor(result * 255. + 0.5)");for(var o="",s=0;s<r.length;s++){var u=r[s];o+="\n          if(offset == ".concat(s,") {\n            result = values[").concat(dSe[u],"];\n          }")}this.userCode="\n      ".concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int flatIndex = getFlatIndex(coords);\n        float result = 0.;\n        int offset = imod(flatIndex, ").concat(r.length,");\n\n        flatIndex = idiv(flatIndex, ").concat(r.length,", 1.);\n\n        int r = flatIndex / texShape[1];\n        if (r < texShape[0]) {\n          int c = imod(flatIndex, texShape[1]);\n          vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n          vec4 values = ").concat(a.texture2D,"(A, uv);\n          ").concat(o,"\n        }\n        ").concat(a.output," = vec4(").concat(i,", 0., 0., 0.);\n      }\n    ")})),mSe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var a="",i="result";n&&(i="floor(result * 255. + 0.5)");for(var o=0;o<=1;o++)for(var s=0;s<=1;s++){var u=2*o+s;a+="\n          localCoords = coords;\n          if(localCoords[2] + ".concat(s," < ").concat(this.enableShapeUniforms?"outShape[2]":"".concat(t[2]),") {\n          localCoords[2] += ").concat(s,";\n          if (localCoords[1] + ").concat(o," < ").concat(this.enableShapeUniforms?"outShape[1]":"".concat(t[1]),") {\n            localCoords[1] += ").concat(o,";\n\n            flatIndex = getFlatIndex(localCoords);\n            offset = imod(flatIndex, 4);\n\n            flatIndex = idiv(flatIndex, 4, 1.);\n\n            int r = flatIndex / texShape[1];\n            int c = imod(flatIndex, texShape[1]);\n            vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n            values = ").concat(r.texture2D,"(A, uv);\n\n            if (offset == 0) {\n              result[").concat(u,"] = values[0];\n            } else if (offset == 1) {\n              result[").concat(u,"] = values[1];\n            } else if (offset == 2) {\n              result[").concat(u,"] = values[2];\n            } else {\n              result[").concat(u,"] = values[3];\n            }\n          }\n        }\n        ")}this.userCode="\n        ".concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n        void main() {\n          ivec3 coords = getOutputCoords();\n\n          vec4 result = vec4(0.);\n          int flatIndex, r, c, offset;\n          ivec3 localCoords;\n          vec2 uv;\n          vec4 values;\n\n          ").concat(a,"\n\n          ").concat(r.output," = ").concat(i,";\n        }\n    ")}));function gSe(e){var t=ANe();return WIe(e,"".concat(t.version,"\n    precision highp float;\n    ").concat(t.attribute," vec3 clipSpacePos;\n    ").concat(t.attribute," vec2 uv;\n    ").concat(t.varyingVs," vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }"))}function ySe(e){return YIe(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function bSe(e){return JIe(e,new Uint16Array([0,1,2,2,1,3]))}function xSe(e,t,n,r,a,i){QIe(t,n);var o=ZIe(e),s=e.TEXTURE_2D;return LIe(e,(function(){return e.bindTexture(s,o)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):LIe(e,(function(){return e.texStorage2D(s,1,r,t,n)})),LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function kSe(e){return e.internalFormatFloat}function wSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],kSe(r),r.textureFormatFloat,e.FLOAT)}function ISe(e){return e.internalFormatHalfFloat}function NSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],ISe(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function SSe(e){return e.downloadTextureFormat}function TSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],SSe(r),e.RGBA,e.UNSIGNED_BYTE)}function ESe(e){return e.internalFormatPackedFloat}function CSe(e,t,n,r){var a=S(DIe(t,n),2);return xSe(e,a[0],a[1],ESe(r),e.RGBA,e.FLOAT)}function ASe(e){return e.internalFormatPackedHalfFloat}function RSe(e,t,n,r){var a=S(DIe(t,n),2);return xSe(e,a[0],a[1],ASe(r),e.RGBA,r.textureTypeHalfFloat)}function _Se(e,t,n){return LIe(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),eNe(e,t,"clipSpacePos",n,3,20,0)&&eNe(e,t,"uv",n,2,20,12)}function OSe(e,t,n,r,a,i){var o,s,u;LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),2===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,e.RGBA,s,o)})):LIe(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}function FSe(e,t,n){LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return 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r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function LSe(e,t,n,r){var a=S(OIe(t,n),2),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return LIe(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}function zSe(e,t,n,r,a,i,o,s){var u=e,c=new Float32Array(function(e,t){var n=S(DIe(e,t),2);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function PSe(e,t,n){var r=new Float32Array(t*n*4);return LIe(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}var BSe={__proto__:null,bindVertexProgramAttributeStreams:_Se,createBufferFromOutputTexture:DSe,createFloat16MatrixTexture:NSe,createFloat16PackedMatrixTexture:RSe,createFloat32MatrixTexture:wSe,createIndexBuffer:bSe,createPackedMatrixTexture:CSe,createUnsignedBytesMatrixTexture:TSe,createVertexBuffer:ySe,createVertexShader:gSe,downloadByteEncodedFloatMatrixFromOutputTexture:LSe,downloadFloat32MatrixFromBuffer:MSe,downloadMatrixFromPackedOutputTexture:PSe,downloadPackedMatrixFromBuffer:zSe,getInternalFormatForFloat16MatrixTexture:ISe,getInternalFormatForFloat16PackedMatrixTexture:ASe,getInternalFormatForFloat32MatrixTexture:kSe,getInternalFormatForPackedMatrixTexture:ESe,getInternalFormatForUnsignedBytesMatrixTexture:SSe,uploadDenseMatrixToTexture:OSe,uploadPixelDataToTexture:FSe},WSe=function(){function e(t){l(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var n=k0().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,RIe(n,t)):this.gl=_Ie(n),t=this.gl,2===k0().getNumber("WEBGL_VERSION")){var r=t;this.createVertexArray=function(){return LIe(r,(function(){return r.createVertexArray()}))},this.bindVertexArray=function(e){return LIe(r,(function(){return r.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return LIe(r,(function(){return r.deleteVertexArray(e)}))},this.getVertexArray=function(){return LIe(r,(function(){return r.getParameter(r.VERTEX_ARRAY_BINDING)}))}}else if(null!=t){var a=t.getExtension("OES_vertex_array_object");if(null==a)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return LIe(t,(function(){return a.createVertexArrayOES()}))},this.bindVertexArray=function(e){return LIe(t,(function(){return a.bindVertexArrayOES(e)}))},this.deleteVertexArray=function(e){return LIe(t,(function(){return 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if(i="EXT_color_buffer_float",xNe(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else{if(!xNe(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=ySe(this.gl),this.indexBuffer=bSe(this.gl),this.framebuffer=$Ie(this.gl),this.textureConfig=MIe(this.gl,this.textureHalfFloatExtension)}var t;return p(e,[{key:"debug",get:function(){return k0().getBool("DEBUG")}},{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;LIe(t,(function(){return t.finish()})),LIe(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),LIe(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),LIe(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),LIe(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),LIe(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),wSe(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),NSe(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),TSe(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),FSe(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),OSe(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),RSe(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),CSe(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(oNe(this.gl,this.framebuffer),this.outputTexture=null),LIe(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return LSe(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return zSe(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return MSe(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=DSe(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,n,r=this;if(k0().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return PSe(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=gSe(n));var r=qIe(n);LIe(n,(function(){return n.attachShader(r,t.vertexShader)})),LIe(n,(function(){return n.attachShader(r,e)})),KIe(n,r);var a=Object.assign(r,{vao:this.createVertexArray()});return this.debug&&XIe(n,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var n=this.gl;LIe(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),_Se(n,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(LIe(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&XIe(this.gl,this.program),LIe(this.gl,(function(){return t.gl.useProgram(e)}))}},{key:"getUniformLocation",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.throwIfDisposed(),n?nNe(this.gl,e,t):rNe(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),LIe(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),aNe(this.gl,e,t,n)}},{key:"setOutputMatrixTexture",value:function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,n){this.throwIfDisposed();var r=S(DIe(t,n),2),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&XIe(this.gl,this.program),sNe(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}LIe(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),LIe(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=BIe(this.gl,2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2!==k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}}},{key:"waitForQueryAndGetTime",value:(t=c(o().mark((function e(t){var n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,U$((function(){return n.disposed||n.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value:function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}},{key:"addItemToPoll",value:function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in k0().platform&&(r=k0().platform.setTimeoutCustom.bind(k0().platform)),U$((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),iNe(this.gl,e,this.framebuffer),this.debug&&sNe(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(iNe(this.gl,this.outputTexture,this.framebuffer),this.debug&&sNe(this.gl)):oNe(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n}},{key:"setOutputMatrixTextureDriver",value:function(e,t,n){this.throwIfDisposed();var r=this.gl;iNe(r,e,this.framebuffer),this.debug&&sNe(r),this.outputTexture=e,LIe(r,(function(){return r.viewport(0,0,t,n)})),LIe(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),LIe(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw new Error("No GPU program is currently set.")}}]),e}();var VSe=dge,USe=yge,GSe=bge,jSe=xge,HSe=cge,qSe=Tge,KSe=Age,XSe=Rge,YSe=Fge,JSe=Lge,ZSe=Bge,QSe=Hge,$Se=qge,eTe=Kge,tTe=Jge,nTe=$ge,rTe=nye,aTe=iye,iTe=oye,oTe=cye,sTe=lye,uTe=fye,cTe=mye,lTe=xye,hTe=wye,pTe=Cye,fTe=Fye,dTe=Mye,vTe=Wye,mTe=Vye,gTe=Uye,yTe=Hye,bTe=qye,xTe=$me,kTe=Yye,wTe=Qye,ITe=$ye,NTe=ebe,STe=tbe,TTe=sbe,ETe=lbe,CTe=pbe,ATe=dbe,RTe=vbe,_Te=mbe,OTe=xbe,FTe=Ibe,DTe=Sye,MTe=Nbe;function LTe(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function zTe(e,t){return 1===t?[e]:LTe(e,t)}var PTe=function(){function e(t){if(l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=cSe(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=zTe("rc",this.rank),r=eSe(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n        void main() {\n          ".concat(r," rc = getOutputCoords();\n\n          if(").concat(a,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(i,"\n\n            setOutput(vec4(").concat(o,"));\n          }\n        }\n      ")}}return p(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n      int r = ".concat(t[0],";\n      int c = ").concat(t[1],";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= ").concat(n,";\n      bool rEdge = rp1 >= ").concat(r,";\n    ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n            cEdge ? 0. : getA(").concat(t[1],"),\n            rEdge ? 0. : getA(").concat(t[2],"),\n            rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}(),BTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);for(var r,a,i,o="",s=0;s<4;s++){var u="thisRC = rc;";s%2==1&&(u+="thisRC.z += 1;"),s>1&&(u+="thisRC.y += 1;"),o+="\n        ".concat(u,"\n        ").concat(s>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[").concat(s,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(s>0?"}":"","\n      ")}this.userCode="\n      ".concat((r=n,a=this.enableShapeUniforms,i=a?function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"index",r=e.map((function(e,t){return t})),a=ONe(r,t);return a.map((function(t,r){var i="int ".concat(e[r]," = ").concat(n," / ").concat(a[r]),o=r===a.length-1?"int ".concat(e[r+1]," = ").concat(n," - ").concat(e[r]," * ").concat(a[r]):"index -= ".concat(e[r]," * ").concat(a[r]);return"".concat(i,"; ").concat(o,";")})).join("")}(["r","c","d"],"inputShape"):RNe(["r","c","d"],r),"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ".concat(i,"\n      return ivec3(r, c, d);\n    }\n  ")),"\n      ").concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n        int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));var WTe=function(){function e(t){l(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return p(e,[{key:"acquireTexture",value:function(e,t,n){var r=UTe(t,n),a=GTe(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=VTe(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===EIe.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===EIe.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===EIe.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===EIe.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===EIe.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i}},{key:"releaseTexture",value:function(e,t,n,r){if(null!=this.freeTextures){var a=UTe(n,r),i=GTe(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=VTe(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=k0().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],c=u&&u.indexOf(e);if(null==c||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function VTe(e,t,n,r,a){var i,o=function(e,t){switch(e){case EIe.PACKED_2X2_FLOAT32:return ESe(t);case EIe.PACKED_2X2_FLOAT16:return ASe(t);case EIe.UNPACKED_FLOAT32:return kSe(t);case EIe.UNPACKED_FLOAT16:return ISe(t);case EIe.PACKED_4X1_UNSIGNED_BYTE:return SSe(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=S(DIe(e[0],e[1]),2);i=s[0]*s[1]}else{var u=S(OIe(e[0],e[1]),2);i=u[0]*u[1]}var c=function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function UTe(e,t){if(e===TIe.UPLOAD)return EIe.PACKED_2X2_FLOAT32;if(e===TIe.RENDER||null==e)return function(e){return k0().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?EIe.PACKED_2X2_FLOAT32:EIe.UNPACKED_FLOAT32:e?EIe.PACKED_2X2_FLOAT16:EIe.UNPACKED_FLOAT16}(t);if(e===TIe.DOWNLOAD||e===TIe.PIXELS)return EIe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function GTe(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var jTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),HTe="if (isnan(x)) return x;",qTe="return x;",KTe="return abs(x);";var XTe="return (x >= 0.0) ? x : (exp(x) - 1.0);",YTe=HTe+"\n  return (x < 0.0) ? 0.0 : x;\n",JTe=HTe+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",ZTe="return x;",QTe="return 1.0 / (1.0 + exp(-1.0 * x));",$Te="return x;",eEe="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",tEe="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",nEe="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",rEe="return 1.0 / (1.0 + exp(-1.0 * x));",aEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),iEe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var n=t.length,r=zTe("rc",n),a=eSe(n),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(i,");\n\n        setOutput(getChannel(packedInput, ").concat(s,"));\n      }\n    ")})),oEe=Qte,sEe={};var uEe=k0().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var cEe=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e){var t,n,r;if(l(this,s),(t=i.call(this)).pendingRead=new WeakMap,t.pendingDisposal=new WeakSet,t.dataRefCount=new WeakMap,t.numBytesInGPU=0,t.uploadWaitMs=0,t.downloadWaitMs=0,t.lastGlFlushTime=0,t.warnedAboutMemory=!1,t.pendingDeletes=0,t.disposed=!1,!k0().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof WSe)n=e;else{var a=_Ie(k0().getNumber("WEBGL_VERSION"),e);n=new WSe(a)}t.binaryCache={},t.gpgpuCreatedLocally=!1}else{var o=_Ie(k0().getNumber("WEBGL_VERSION"));n=new WSe(o),t.binaryCache=((r=k0().getNumber("WEBGL_VERSION"))in sEe||(sEe[r]={}),sEe[r]),t.gpgpuCreatedLocally=!0}return t.gpgpu=n,t.canvas=t.gpgpu.gl.canvas,t.textureManager=new WTe(t.gpgpu),t.numMBBeforeWarning=null==k0().global.screen?1024:k0().global.screen.height*k0().global.screen.width*window.devicePixelRatio*600/1024/1024,t.texData=new S$(x(t),Q6()),t}return p(s,[{key:"nextDataId",value:function(){return s.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"writeTexture",value:function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=fNe(t),c=new vSe(u,!1,i),l=this.runWebGLProgram(c,[o],n,[[r,a]]);return l.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,n){if((k0().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||k0().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:TIe.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r,a){if(k0().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:TIe.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new aEe(o,ZTe):new jTe(o,ZTe);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,p,f=null!=this.activeTimers;(f&&(h=z4()),"complex64"===r)?p=gie(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=z4()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:(a=c(o().mark((function e(t){var n,r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,s=r.slice,u=r.dtype,c=r.complexTensorInfos,l=r.isPacked,null==s){e.next=11;break}return h=l?new aEe(i,ZTe):new jTe(i,ZTe),p=this.runWebGLProgram(h,[{dataId:t,shape:i,dtype:u}],u),f=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",f);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!k0().getBool("DEBUG")){e.next=16;break}if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==k0().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==u&&k0().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),d=(m=this.gpgpu).createBufferFromTexture.apply(m,[g.texture.texture].concat(T(FIe(i))))),this.pendingRead.set(t,[]),"complex64"===u){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==u){e.next=31;break}return e.next=25,Promise.all([this.read(c.real.dataId),this.read(c.imag.dataId)]);case 25:b=e.sent,x=b[0],k=b[1],y=gie(x,k),e.next=32;break;case 31:null==d?y=this.getValuesFromTexture(t):(w=L$(i),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=v&&this.disposeIntermediateTensorInfo(v),null!=d&&LIe(I=this.gpgpu.gl,(function(){return I.deleteBuffer(d)})),N=this.convertAndCacheOnCPU(t,y),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Q6().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)}))),function(e){return a.apply(this,arguments)})},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new aEe(a,ZTe):new jTe(a,ZTe);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var p=this.decode(e,t.customTexShape),f=Q6().makeTensorFromTensorInfo(p),d=this.texData.get(p.dataId);return Object.assign({tensorRef:f},d.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return W4(e)}));return K6(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return K6(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!zIe(n)){if(k0().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=L$(n);if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(T(FIe(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=k0().getBool("WEBGL_PACK")&&!0===a,h=l?fNe(n):n,p=l?new fSe(h):new pSe(h),f=this.runWebGLProgram(p,[{shape:h,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),v}},{key:"timerAvailable",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=U4(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),s=U4(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return c(o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,u.kernelMs=O$(n),u.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:s[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:u.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",u);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:z4(),endMs:null}}},{key:"endTimer",value:function(e){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=z4(),e)}},{key:"getQueryTime",value:(r=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e),r=n.complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:uEe;return k0().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&L$(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){z3("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return oEe(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new aEe(e.shape,t),a=this.compileAndRun(r,[e],n);return Q6().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=xTe(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(k0().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,KTe,e.dtype);var n=new jTe(e.shape,KTe),r=this.compileAndRun(n,[e]);return Q6().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&$$(n[0])){var a=n.map((function(e){return B4(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){return Q6().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new iEe(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new PTe(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[hNe(e.shape)].concat(T(pNe(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[hNe(t)].concat(T(pNe(t))),i=new BTe(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&F$(L$(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=fNe(a);o=r?new hSe(s):new lSe(s);var u=[null!=t?t:FIe(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===SIe.DENSE){var c=null!=o?o:FIe(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===L$(s.shape))return u.values=q$(s.dtype,0),s;var l=[],h=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&L$(t.shape)<=k0().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}if(a.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),l.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!mNe(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),l.push(t),n=a.texData.get(t.dataId),r.shape=i}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var p,f={shape:s.shape,texData:u,isUniform:!1},d=uSe(e,h,f),v=this.getAndSaveBinary(d,(function(){return aSe(a.gpgpu,e,h,f)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),k0().get("ENGINE_COMPILE_ONLY")||sSe(this.gpgpu,v,h,f,r),l.forEach((function(e){return a.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)}));var g=k0().getNumber("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=z4();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!k0().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===i){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s}},{key:"compileAndRun",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];n=n||t[0].dtype;var i=this.runWebGLProgram(e,t,n,r,a);return i}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;if(!this.disposed){if(!k0().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=e8((function(){if(!k0().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=k0().getBool("DEBUG");k0().set("DEBUG",!1);var n=e.abs(Z7(1e-8)).dataSync()[0];if(k0().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?1e-7:1e-4}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=z4());var l=t.texShape;if(null==l&&(l=dNe(n,s),t.texShape=l),null!=a){var h,p=fNe(n),f=l[1],d=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=S(DIe(l[0],l[1]),2);f=m[0],d=m[1]}h=s?new mSe(p,v):new vSe(p,v);var g=v?[d,f]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?TIe.PIXELS:TIe.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],k=this.runWebGLProgram(h,[y],r,x,!0),w=this.texData.get(k.dataId);t.texShape=w.texShape,t.isPacked=w.isPacked,t.usage=w.usage,k0().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=w.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=z4()-u)}else{var I=this.acquireTexture(l,o,r,s);t.texture=I}}}},{key:"convertAndCacheOnCPU",value:function(e,t){var n=this.texData.get(e),r=n.dtype;return null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new 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r=iSe(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,c=r.outShapeStridesLocation,l=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=c,n.outTexShapeLocation=l}}},{key:"createTensorFromGPUData",value:function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=Q6().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",M4(i,"float32")),s=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(kEe,a.shape,o.shape):new fEe(xEe,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},IEe="return (a < 0.) ? b * a : a;",NEe="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var SEe={kernelName:C2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(NEe,r.shape,a.shape):new fEe(IEe,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function TEe(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,c=s,l=a||u.dtype;if(c.shouldExecuteOnCPU([u])&&null!=r){var h=c.texData.get(u.dataId),p=r(h.values,l);return c.makeTensorInfo(u.shape,l,p)}return 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0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],s=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,u=arguments.length>7&&void 0!==arguments[7]&&arguments[7],c=arguments.length>8&&void 0!==arguments[8]&&arguments[8];l(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r,this.enableShapeUniforms=cSe(this.outputShape.length);var h=a?t[1]:t[2],p=Math.ceil(h/2),f=a?"i * 2, rc.y":"rc.y, i * 2",d=i?"rc.z, i * 2":"i * 2, rc.z",v=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=i?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",y="";s&&(g=u?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(s,"\n        }"):c?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          ".concat(s,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(s,"\n        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t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=h5(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),c=new OEe(REe,a.shape,i.shape),l=new OEe(_Ee,a.shape,i.shape),h=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],p=r.runWebGLProgram(c,h,"float32"),f=r.runWebGLProgram(l,h,"float32"),d=yEe({inputs:{real:p,imag:f},backend:r});return r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var v=r.texData.get(a.dataId),m=r.texData.get(i.dataId),g=S(cTe(a.shape,i.shape,v.values,m.values,o),2),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(FEe,a.shape,i.shape):new fEe(FEe,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var MEe={kernelName:g2,backendName:"webgl",kernelFunc:DEe};function LEe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=L$(a.shape),u=G$(i,s),c=L$(u);F$(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. 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a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=nie(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],c=u.inSize,l=u.windowSize,h=u.outSize,p=void 0;p="mean"===n?0===o?new PEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new PEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new BEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},n),s=i,i=r.runWebGLProgram(p,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var VEe=p((function e(t,n){l(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var i=eSe(this.rank),o=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(t," is not yet supported"));for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(n);this.userCode="\n    void main() {\n      ".concat(i," resRC = getOutputCoords();\n      setOutput(getA(").concat(o,"));\n    }\n    ")}));var UEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var i=eSe(this.rank),o=LTe("rc",this.rank),s=new Array(this.rank),u=0;u<n.length;u++)s[n[u]]=o[u];var c="vec2(".concat(s.slice(-2).join(),")"),h="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),p="getChannel(getA(".concat(s.join(),"), ").concat(c,")");this.userCode="\n    void main() {\n      ".concat(i," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(p,";\n      if(").concat(h,") {\n        result[1] = ").concat(p,";\n      }\n      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HEe={kernelName:a3,backendName:"webgl",kernelFunc:jEe};function qEe(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=i.shape[o[l]];if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId).values,p=DTe(h,i.shape,i.dtype,o,c);t=s.makeTensorInfo(c,i.dtype),s.texData.get(t.dataId).values=p}else t=GEe(i,o,s);return t}var KEe={kernelName:T3,backendName:"webgl",kernelFunc:qEe};function XEe(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=t.shape.length,v=n.shape.length,m=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[v-1]:n.shape[v-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[v-2]:n.shape[v-1],x=t.shape.slice(0,-2),k=n.shape.slice(0,-2),w=L$(x),I=L$(k),N=A7(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);F$(m===g,(function(){return"Error in matMul: inner shapes 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AEe(T,E,[_,y,b],r,a,F,L,D,M),q=[C,A];if(null!=s&&q.push(s),D&&q.push(c),M){var K=i.makeTensorInfo([],"float32",M4(h,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=LEe({inputs:{x:S},backend:i,attrs:{shape:N}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var YEe={kernelName:D3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,c=r.transposeB,l=r.activation;return XEe({a:a,b:i,transposeA:u,transposeB:c,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:l})}},JEe="return abs(x);";var ZEe={kernelName:N0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=xTe(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=k0().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new aEe(a.shape,JEe):new jTe(a.shape,JEe),r.runWebGLProgram(t,[a],a.dtype)}},QEe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),$Ee={kernelName:S0,backendName:"webgl",kernelFunc:QEe},eCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),tCe={kernelName:T0,backendName:"webgl",kernelFunc:eCe},nCe="return a + b;",rCe=EEe({opSnippet:nCe,packedOpSnippet:nCe,supportsComplex:!0,cpuKernelImpl:VSe}),aCe={kernelName:E0,backendName:"webgl",kernelFunc:rCe},iCe=p((function e(t,n){l(this,e),this.outputShape=[],this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("float v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        float result = ").concat(a,";\n        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h5(e,t)})),c=a.map((function(e){return e.shape})),l=k0().getBool("WEBGL_PACK")?new oCe(a[0].shape,c):new iCe(a[0].shape,c);return r.runWebGLProgram(l,a,u)}};var uCe={kernelName:A0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=a;null!=l&&(h=qEe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=K7(c.length,s)),j7("all",c,s);var p,f=S(U7(h.shape,c),2),d=f[0],v=LEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=WEe(v,v.dtype,"all",n);return p=LEe(o?{inputs:{x:m},backend:n,attrs:{shape:G7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}};var cCe={kernelName:R0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=a;null!=l&&(h=qEe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=K7(c.length,s)),j7("any",c,s);var p,f=S(U7(h.shape,c),2),d=f[0],v=LEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=WEe(v,v.dtype,"any",n);return p=LEe(o?{inputs:{x:m},backend:n,attrs:{shape:G7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},lCe=p((function e(t,n,r){l(this,e),this.variableNames=["A"];var a=t.windowSize,i=t.batchSize,o=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===n?">":"<",u=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ".concat(a,";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          int inIdx = ").concat(u,";\n          float candidate = getA(batch, inIdx);\n          if (candidate ").concat(s," bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ")})),hCe=p((function e(t,n,r,a){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,F$(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var i=t[t.length-1],o=Math.ceil(i/n);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),a||this.variableNames.push("bestIndicesA");var s,u,c=this.outputShape,h=c.length,p=eSe(h),f=zTe("coords",h);if(1===o){var d=eSe(u=h+1);s="\n        ".concat(d," sourceLocR = ").concat(d,"(").concat(f.join(),", 0);\n        ++").concat(f[h-1],";\n        ").concat(d," sourceLocG = ").concat(d,"(").concat(f.join(),", 0);\n        ++").concat(f[h-2],";\n        ").concat(d," sourceLocA = ").concat(d,"(").concat(f.join(),", 0);\n        --").concat(f[h-1],";\n        ").concat(d," sourceLocB = ").concat(d,"(").concat(f.join(),", 0);\n        --").concat(f[h-2],";")}else u=h,s="\n        ".concat(p," sourceLocR = coords;\n        ++").concat(f[h-1],";\n        ").concat(p," sourceLocG = coords;\n        ++").concat(f[h-2],";\n        ").concat(p," sourceLocA = coords;\n        --").concat(f[h-1],";\n        ").concat(p," sourceLocB = coords;\n        --").concat(f[h-2],";");var v=["x","y","z","w","u","v"].slice(0,u),m="."+v[u-1],g=v.map((function(e){return"int "+e})),y=zTe("sourceLocR",u-1).concat("inIdx.r"),b=zTe("sourceLocG",u-1).concat("inIdx.g"),x=zTe("sourceLocB",u-1).concat("inIdx.b"),k=zTe("sourceLocA",u-1).concat("inIdx.a"),w="max"===r?"greaterThan":"lessThan",I=a?"":"\n          inIdx = round(vec4(getBestIndicesAChannel(".concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(b.join(),"),\n                             getBestIndicesAChannel(").concat(x.join(),"),\n                             getBestIndicesAChannel(").concat(k.join(),")));"),N="vec4(\n            getAChannel(".concat(y.join(),"),\n            hasNextCol ? getAChannel(").concat(b.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(x.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(k.join(),") : 0.)"),S=a?"":"\n      float getBestIndicesAChannel(".concat(g.join(),") {\n        return getChannel(getBestIndicesA(").concat(v.join(),"),\n                                          vec2(").concat(v.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(g.join(),") {\n        return getChannel(getA(").concat(v.join(),"),\n                               vec2(").concat(v.slice(-2).join(),"));\n      }\n      ").concat(S,"\n      void main() {\n        ").concat(p," coords = getOutputCoords();\n        bool hasNextCol = ").concat(f[h-1]," < ").concat(c[h-1]-1,";\n        bool hasNextRow = ").concat(f[h-2]," < ").concat(c[h-2]-1,";\n        ").concat(s,"\n        ivec4 srcIdx = ivec4(sourceLocR").concat(m,", sourceLocG").concat(m,",\n          sourceLocB").concat(m,", sourceLocA").concat(m,") * ").concat(n,";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ").concat(N,";\n\n        for (int i = 0; i < ").concat(n,"; i++) {\n          inIdx = srcIdx;\n          ").concat(I,"\n          vec4 candidate = ").concat(N,";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(").concat(w,"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    ")}));function pCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=nie(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new lCe(s,n,null==r),c=[t];null!=r&&c.push(r);var l=e.runWebGLProgram(u,c,"int32");if(1===l.shape[1])return l;var h=pCe(e,t,n,l);return e.disposeIntermediateTensorInfo(l),h}function fCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=null!=r?r.shape:t.shape,i=a[a.length-1],o=nie(i),s=new hCe(a,o,n,null==r),u=null==r?[t]:[t,r],c=e.runWebGLProgram(s,u,"int32");if(c.shape.length===t.shape.length){var l=fCe(e,t,n,c);return e.disposeIntermediateTensorInfo(c),l}return c}function dCe(e,t,n,r){var a=[n];if(j7("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!k0().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=S(U7(s.shape,a),2),c=u[0],l=L$(u[1]),h=LEe({inputs:{x:s},backend:e,attrs:{shape:[-1,l]}});i.push(h);var p=pCe(e,h,r);i.push(p);var f=LEe({inputs:{x:p},backend:e,attrs:{shape:c}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return fCe(e,t,r)}var vCe={kernelName:_0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=qEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMax",[i[0]],s.shape.length);var c=dCe(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}};var mCe={kernelName:O0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=qEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMin",[i[0]],s.shape.length);var c=dCe(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},gCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),yCe={kernelName:F0,backendName:"webgl",kernelFunc:gCe},bCe=TEe({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),xCe={kernelName:D0,backendName:"webgl",kernelFunc:bCe},kCe=TEe({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),wCe={kernelName:M0,backendName:"webgl",kernelFunc:kCe},ICe=EEe({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  \n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n\n  return result;\n"}),NCe={kernelName:z0,backendName:"webgl",kernelFunc:ICe},SCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),TCe={kernelName:L0,backendName:"webgl",kernelFunc:SCe},ECe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideHeight,u=t.strideWidth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===n,g="((batch  * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),b="0.0";if(m||(b="-1.0 / 1e-20"),r){var x=">=";this.userCode="\n        const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n        const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ").concat(p,";\n              wR += ").concat(c,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(f,";\n                wC += ").concat(h,") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ").concat(x," currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ").concat(a?i?g:y:"wR * ".concat(f," + wC"),";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var k="max",w="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(w="avgValue / max(count, 1.0)");var I=4*Math.floor(o/4),N=o%4,S="\n      if (".concat(m,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(k,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n      const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n      const float initializationValue = ").concat(b,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(b,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ").concat(p,";\n            wR += ").concat(c,") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(I,"; wC += 4) {\n            int xC = xCCorner + wC * ").concat(h,";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              getValue(batch, xR, xC + 3 * ").concat(h,", d)\n            );\n\n            ").concat(S,"\n          }\n\n          int xC = xCCorner + ").concat(I,";\n          if (").concat(1===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(2===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(3===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              initializationValue\n            );\n\n            ").concat(S,"\n          }\n        }\n        setOutput(").concat(w,");\n      }\n    ")}})),CCe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideDepth,u=t.strideHeight,c=t.strideWidth,h=t.dilationDepth,p=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,v=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var x="avg"===n,k="0.0";if(x||(k="-1.0 / 1e-20"),r){var w=">=";this.userCode="\n        const ivec3 strides =\n            ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n        const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ").concat(d,";\n              wD += ").concat(h,") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int wR = 0; wR < ").concat(v,";\n                wR += ").concat(p,") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int wC = 0; wC < ").concat(m,";\n                  wC += ").concat(f,") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ").concat(w," currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ").concat(a?i?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(v," * ").concat(m," +\n                      wR * ").concat(m," + wC"),";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var I="max",N="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(N="avgValue / max(count, 1.0)");var S=4*Math.floor(o/4),T=o%4,E="\n      if (".concat(x,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(I,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec3 strides =\n        ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n      const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n      const float initializationValue = ").concat(k,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(k,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ").concat(d,";\n            wD += ").concat(h,") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(v,";\n            wR += ").concat(p,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(S,"; wC += 4) {\n              int xC = xCCorner + wC * ").concat(f,";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 3 * ").concat(f,", ch)\n              );\n\n              ").concat(E,"\n            }\n\n            int xC = xCCorner + ").concat(S,";\n            if (").concat(1===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(2===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(3===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                initializationValue\n              );\n\n              ").concat(E,"\n            }\n          }\n        }\n        setOutput(").concat(N,");\n      }\n    ")}}));var ACe={kernelName:P0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;TNe(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(L8(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return mEe({inputs:{x:a},backend:n});var l=new ECe(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var RCe={kernelName:W0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=S8(a.shape,i,o,[1,1,1],s,u,c),h=new CCe(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},_Ce=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(h,", ").concat(p,");\n      const float avgMultiplier = float(").concat(f,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(u,";\n            wR += ").concat(o,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(c,";\n            wC+= ").concat(s,") {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),OCe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,v=p-1-t.padInfo.front,m=f-1-t.padInfo.top,g=d-1-t.padInfo.left,y=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(v,", ").concat(m,", ").concat(g,");\n      const float avgMultiplier = float(").concat(y,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(p,";\n            wD += ").concat(u,") {\n          float dyD = float(dyDCorner + wD) / ").concat(i,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(f,";\n              wR += ").concat(c,") {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(d,";\n                wC += ").concat(h,") {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var FCe={kernelName:V0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=S8(i.shape,o,s,[1,1,1],u,c),h=new OCe(l);return n.runWebGLProgram(h,[a],i.dtype)}};var DCe={kernelName:B0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;TNe([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=N8(o.shape,s,u,1,c),h=new _Ce(l);return n.runWebGLProgram(h,[a],o.dtype)}};var MCe={kernelName:U0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return XEe({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},LCe=p((function e(t,n,r,a,i,o){l(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],A7(t,n),A7(t,r);var s="0.0";null!=a&&(A7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(A7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(u,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),zCe=p((function e(t,n,r,a,i,o){l(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],A7(t,n),A7(t,r);var s="vec4(0.0)";null!=a&&(A7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="vec4(1.0)";null!=i&&(A7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(u,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(o,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")})),PCe={kernelName:M1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;F$(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=S(Wae(a,r.begin,r.size),2),o=i[0],s=i[1];if(Cae(a,o,s),0===L$(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),c=kTe(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,c)}var l=n.texData.get(a.dataId).isPacked,h=Pae(a.shape,o,s);if(l||!h){var p=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new VCe(s):new BCe(s),f=[o];return n.runWebGLProgram(p,[a],a.dtype,f)}return n.uploadToGPU(a.dataId),function(e,t,n,r){var a=r.texData.get(e.dataId),i=r.makeTensorInfo(n,e.dtype),o=r.texData.get(i.dataId);Object.assign(o,a),o.refCount=1,o.shape=n,o.dtype=e.dtype;var s=Bae(t,i0(e.shape));a.slice&&(s+=a.slice.flatOffset),o.slice={flatOffset:s,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var GCe={kernelName:Z2,backendName:"webgl",kernelFunc:UCe},jCe={kernelName:G0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;F$(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=aie(a.shape,i,s),c=iie(u.length,i.length),l=oie(a.shape,i,s),h=sie(o,i.length),p=uie(l,o,i.length),f=[],d=LEe({inputs:{x:a},backend:n,attrs:{shape:u}}),v=qEe({inputs:{x:d},backend:n,attrs:{perm:c}}),m=LEe({inputs:{x:v},backend:n,attrs:{shape:l}}),g=UCe({inputs:{x:m},backend:n,attrs:{begin:h,size:p}});return f.push(d),f.push(v),f.push(m),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var HCe={kernelName:j0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=USe(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}};var qCe={kernelName:H0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS"),s=k0().getNumber("WEBGL_VERSION");if(r.shouldExecuteOnCPU([a,i])||1===s){var u=r.texData.get(a.dataId).values,c=r.texData.get(i.dataId).values,l=S(jSe(a.shape,i.shape,u,c,a.dtype),2),h=l[0],p=l[1],f=r.makeTensorInfo(p,a.dtype);return r.texData.get(f.dataId).values=h,f}return t=o?new vEe("\n  int r = int(a.r) & int(b.r);\n  int g = int(a.g) & int(b.g);\n  int rb = int(a.b) & int(b.b);\n  int ra = int(a.a) & int(b.a);\n  return vec4(r, g, rb, ra);\n",a.shape,i.shape,!1):new fEe("\n  return float(int(a.r) & int(b.r));\n",a.shape,i.shape),r.runWebGLProgram(t,[a,i],a.dtype)}};var KCe={kernelName:K0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=A7(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},XCe=EEe({opSnippet:"return float(a != b);",cpuKernelImpl:hTe,dtype:"bool"}),YCe={kernelName:b2,backendName:"webgl",kernelFunc:XCe};function JCe(e){var t=e.inputs,n=e.backend,r=t.input;return mEe({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var ZCe={kernelName:D2,backendName:"webgl",kernelFunc:JCe};var QCe={kernelName:X0,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return mEe({inputs:{x:i},backend:r});var s=H9(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),c=yEe({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),c}if("complex64"===i.dtype){var l=JCe({inputs:{input:i},backend:r}),h=e({inputs:{x:l},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(l),h}if(!J$(i.dtype,o)){var p=mEe({inputs:{x:i},backend:r});return{dataId:p.dataId,shape:p.shape,dtype:o}}if(r.shouldExecuteOnCPU([i])){var f=r.texData.get(i.dataId).values,d=S(HSe(f,i.shape,i.dtype,o),3),v=d[0],m=d[1],g=d[2];return r.makeTensorInfo(v,m,g)}if("int32"===o)return function(e,t){var n=new jTe(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var y=r.makeTensorInfo([],"bool",q$("bool",1)),b=XCe({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast ".concat(i.dtype," to ").concat(o))}},$Ce="return ceil(x);",eAe=TEe({opSnippet:$Ce,packedOpSnippet:$Ce,cpuKernelImpl:qSe}),tAe={kernelName:Y0,backendName:"webgl",kernelFunc:eAe},nAe=p((function e(t){l(this,e),this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode="\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "})),rAe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode="\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}));var aAe={kernelName:J0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.clipValueMin,s=a.clipValueMax;t=k0().getBool("WEBGL_PACK_CLIP")?new rAe(i.shape):new nAe(i.shape);var u=[[o],[s]];return r.runWebGLProgram(t,[i],i.dtype,u)}},iAe=p((function e(t){l(this,e),this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "}));function oAe(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var sAe={kernelName:Q0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new iAe(r.shape),o=[oAe(r,a.complexTensorInfos.real),oAe(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},uAe=p((function e(t){l(this,e),this.outputShape=[],this.outputShape=Zae(t,1),this.variableNames=t.map((function(e,t){return"T".concat(t)}));var n=new Array(t.length-1);n[0]=t[0][1];for(var r=1;r<n.length;r++)n[r]=n[r-1]+t[r][1];for(var a=["if (yC < ".concat(n[0],") setOutput(getT0(yR, yC));")],i=1;i<n.length;i++){var o=n[i-1];a.push("else if (yC < ".concat(n[i],") ")+"setOutput(getT".concat(i,"(yR, yC-").concat(o,"));"))}var s=n.length,u=n[n.length-1];a.push("else 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getT").concat(v,"(").concat(lAe(s,h,m),"),\n            vec2(").concat(lAe(p,h,m),"));\n        }")}var g=u.length,y=u[u.length-1];d+="\n        return getChannel(\n          getT".concat(g,"(").concat(lAe(s,h,y),"),\n          vec2(").concat(lAe(p,h,y),"));"),this.userCode="\n      float getValue(".concat(s.map((function(e){return"int "+e})),") {\n        ").concat(d,"\n      }\n\n      void main() {\n        ").concat(i," coords = getOutputCoords();\n        vec4 result = vec4(getValue(").concat(o,"), 0., 0., 0.);\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," + 1;\n        if (").concat(o[a-1]," < ").concat(r[a-1],") {\n          result.g = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-2]," = ").concat(o[a-2]," + 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2],") {\n          result.a = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," - 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2]," &&\n            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l=e.map((function(e){var r=L$(e.shape.slice(t));return LEe({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),h=l.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),p=Zae(l.map((function(e){return e.shape})),1),f=1===l[0].shape[0],d=KSe(h,p,r,f),v=Zae(e.map((function(e){return e.shape})),t),m=n.makeTensorInfo(v,r,d);return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}var g=e.filter((function(e){return L$(e.shape)>0})),y=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new jTe(e[0].shape,ZTe):new aEe(e[0].shape,ZTe);return n.runWebGLProgram(b,e,r)}var x=k0().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>x){for(var k=[],w=0;w<g.length;w+=x){var I=g.slice(w,w+x);k.push(fAe(I,t,n))}for(var N=fAe(k,t,n),S=0,T=k;S<T.length;S++){var E=T[S];n.disposeIntermediateTensorInfo(E)}return N}if(y){var C=new cAe(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(C,g,r)}var A=function(e,t,n){var r=Zae(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return LEe({inputs:{x:e},attrs:{shape:[-1,L$(e.shape.slice(t))]},backend:n})})),outShape:r}}(g,t,n),R=A.tensors2D,_=A.outShape,O=new uAe(R.map((function(e){return e.shape}))),F=n.runWebGLProgram(O,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var D=LEe({inputs:{x:F},attrs:{shape:_},backend:n});return n.disposeIntermediateTensorInfo(F),D}function dAe(e){var t=e.inputs,n=e.backend,r=j$(e.attrs.axis,t[0].shape)[0];Jae(t.map((function(e){return e.shape})),r);var a=Zae(t.map((function(e){return e.shape})),r);if(0===L$(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return L$(e.shape)>0}));return 1===i.length?mEe({inputs:{x:i[0]},backend:n}):fAe(i,r,n)}var vAe={kernelName:$0,backendName:"webgl",kernelFunc:dAe},mAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,p=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,v=4*Math.floor(t.inChannels/4),m=t.inChannels%4,g="channelsLast"===t.dataFormat,y=g?1:2,b=g?2:3,x=g?3:1,k="",w="";r&&(k=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),w="result = activation(result);");var I=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(k,"\n\n      const ivec2 strides = ivec2(").concat(u,", ").concat(c,");\n      const ivec2 pads = ivec2(").concat(o,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[").concat(x,"];\n\n        ivec2 xRCCorner =\n            ivec2(coords[").concat(y,"], coords[").concat(b,"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(f,"; wR++) {\n          int xR = xRCorner + wR * ").concat(h,";\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(d,"; wC++) {\n            int xC = xCCorner + wC * ").concat(p,";\n\n            if (xC < 0 || xC >= ").concat(t.inWidth,") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ").concat(v,"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (").concat(g,") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (").concat(1===m,") {\n\n              if (").concat(g,") {\n                dotProd +=\n                    getX(batch, xR, xC, ").concat(v,") *\n                    getW(wR, wC, ").concat(v,", d2);\n              } else {\n                dotProd +=\n                    getX(batch, ").concat(v,", xR, xC) *\n                    getW(wR, wC, ").concat(v,", d2);\n              }\n\n            } else if (").concat(2===m,") {\n              vec2 wValues = vec2(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2)\n              );\n\n              if (").concat(g,") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (").concat(3===m,") {\n              vec3 wValues = vec3(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2),\n                getW(wR, wC, ").concat(v," + 2, d2)\n              );\n\n              if (").concat(g,") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1),\n                  getX(batch, xR, xC, ").concat(v," + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC),\n                  getX(batch, ").concat(v," + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ").concat(I,"\n        ").concat(w,"\n        setOutput(result);\n      }\n    ")})),gAe=p((function e(t){l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.padInfo.front,r=t.padInfo.top,a=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.filterDepth,f=t.filterHeight,d=t.filterWidth,v=4*Math.floor(t.inChannels/4),m=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3(".concat(i,", ").concat(o,", ").concat(s,");\n      const ivec3 pads = ivec3(").concat(n,", ").concat(r,", ").concat(a,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(p,"; wF++) {\n          int xF = xFCorner + wF * ").concat(u,";\n\n          if (xF < 0 || xF >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(f,"; wR++) {\n            int xR = xRCorner + wR * ").concat(c,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(d,"; wC++) {\n              int xC = xCCorner + wC * ").concat(h,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ").concat(v,"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (").concat(1===m,") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ").concat(v,") *\n                  getW(wF, wR, wC, ").concat(v,", d2);\n              } else if (").concat(2===m,") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (").concat(3===m,") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1),\n                  getX(batch, xF, xR, xC, ").concat(v," + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2),\n                  getW(wF, wR, wC, ").concat(v," + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),yAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);for(var o=t.padInfo.left,s=t.strideWidth,u=t.dilationWidth,c=t.filterHeight,h=t.filterWidth,p=h,f="\n       int xR; int xC; int xCOffset;\n       vec4 wTexel; vec4 previous; vec4 final;",d=0;d<h;d++)f+="\n           vec4 xTexelC".concat(2*d,";\n           int xTexelC").concat(2*d,"Ready;\n           vec4 xTexelC").concat(2*d+1,";\n           int xTexelC").concat(2*d+1,"Ready;\n           vec4 xC").concat(d,";");f+="\n     for (int r = 0; r < ".concat(c,"; r++) {\n      for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n       ");for(var v=0;v<h;v++)f+="\n           xTexelC".concat(2*v," = vec4(0.0);\n           xTexelC").concat(2*v,"Ready = 0;\n           xTexelC").concat(2*v+1," = vec4(0.0);\n           xTexelC").concat(2*v+1,"Ready = 0;\n           xC").concat(v," = vec4(0.0);");f+="\n         xR = xRCorner + r * dilations[0];\n         if (xR >=0 && xR < inDims[0]) {\n       ";for(var m=0;m<(p+1)/2;m++){var g=2*m;if(f+="\n           xC = xCCorner + ".concat(g*u,";\n           "),1===s){if(g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1;\n                 if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n               "),f+=1===u&&g>0?"\n                 xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n                 "):"\n                   xCOffset = xC + 1 - 2;\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       previous.zw = vec2(0.0);\n                     }\n\n                     xC".concat(g," = vec4(previous.zw, xTexelC").concat(g,".xy);\n                   } else {\n                     xC").concat(g," = vec4(0.0, 0.0, xTexelC").concat(g,".xy);\n                   }\n                   ")):f+="\n                 if (xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xC").concat(g," = xTexelC").concat(g,";\n                 "),g+1<h)){var y=o%2==0?R$(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(f+="\n                   xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                     xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       xTexelC").concat(g+1,".zw = vec2(0.0);\n                     }\n                     xTexelC").concat(g+1,"Ready = 1;\n                   }\n                   "),f+=u>1?"\n                     xCOffset -= 2;\n                     if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                      previous = getX(batch, xR, xCOffset, d1);\n                      xC".concat(g+1," = vec4(previous.zw, xTexelC").concat(g+1,".xy);\n                     } else {\n                      xC").concat(g+1," = vec4(0.0, 0.0, xTexelC").concat(g+1,".xy);\n                     }\n                     "):"\n                     xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".xy);\n                     ")):f+=1===y?"\n                     xC".concat(g+1," = xTexelC").concat(g,";\n                     "):"\n                     xCOffset = xC + ".concat(y,";\n\n                     if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                       xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                       if (xCOffset + 1 >= inDims[1]) {\n                         xTexelC").concat(g+1,".zw = vec2(0.0);\n                       }\n                       xTexelC").concat(g+1,"Ready = 1;\n                     }\n\n                     xC").concat(g+1," = xTexelC").concat(g+1,";\n                     ")}}else g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1 - strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xC + 1, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xC + 2 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n               "),g+1<h&&(f+="\n                   final = vec4(0.0);\n                   xCOffset = xC + 1 + strides[1];\n                   if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                     final = getX(batch, xR, xCOffset, d1);\n                   }\n                   xC".concat(g+1," = vec4(xTexelC").concat(g+1,".xy, final.xy);\n                 "))):(f+="\n                 if(xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xCOffset = xC + strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(\n                   xTexelC").concat(g,".xy, xTexelC").concat(g+1,".xy);\n               "),g+1<h&&(f+="\n                   xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n                 "))));g<h&&(f+="\n             wTexel = getW(r, ".concat(g,", d1, d2);\n             dotProd += xC").concat(g,".xxzz * vec4(wTexel.xy, wTexel.xy);\n             if(d1 + 1 < ").concat(t.inChannels,") {\n               dotProd += xC").concat(g,".yyww * vec4(wTexel.zw, wTexel.zw);\n             }\n           "),g+1<h&&(f+="\n               wTexel = getW(r, ".concat(g+1,", d1, d2);\n               dotProd += xC").concat(g+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n               if(d1 + 1 < ").concat(t.inChannels,") {\n                 dotProd += xC").concat(g+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n               }\n             ")))}f+="\n     }\n   ",f+="\n     }\n   ",f+="\n     }\n   ";var b="",x="";r&&(b=a?"vec4 activation(vec4 a) {\n           vec4 b = getPreluActivationWeightsAtOutCoords();\n           ".concat(r,"\n         }"):i?"vec4 activation(vec4 a) {\n           vec4 b = getLeakyreluAlphaAtOutCoords();\n           ".concat(r,"\n         }"):"vec4 activation(vec4 x) {\n           ".concat(r,"\n         }"),x="result = activation(result);");var k=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n       ".concat(b,"\n\n       void main() {\n         ivec4 coords = getOutputCoords();\n         int batch = coords.x;\n         ivec2 xRCCorner = coords.yz * strides - pads;\n         int d2 = coords.w;\n         int xRCorner = xRCCorner.x;\n         int xCCorner = xRCCorner.y;\n\n         //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n         vec4 dotProd = vec4(0.000000000000001);\n\n         ").concat(f,"\n\n         vec4 result = dotProd - vec4(0.000000000000001);\n         ").concat(k,"\n         ").concat(x,"\n         setOutput(result);\n       }\n     ")})),bAe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);for(var r=n.dataFormat,a=ANe(),i="channelsLast"===r,o=i?1:2,s=i?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),c="",h=0;h<=1;h++)for(var p=0;p<=1;p++)c+="\n          blockIndex = rc.z + ".concat(p,";\n          pos = rc.y + ").concat(h,";\n\n          ").concat(u,"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape[").concat(o,"] && d0 >= 0) {\n              // Use custom imod instead mod. On Intel GPU, mod may generate\n              // unexpected value.\n              // https://github.com/tensorflow/tfjs/issues/5447\n              offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n              d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n                  inChannels);\n\n              if(d1 < inputShape[").concat(s,"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if (").concat(i,") {\n                  innerDims = vec2(d1, ch);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ");this.userCode="\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ".concat(c,"\n\n        ").concat(a.output," = result;\n      }\n    ")}));function xAe(e,t){var n=e.length;return n>=3?[].concat(T(e.slice(0,-3)),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function kAe(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=n.shape,v=i.texData.get(n.dataId),m=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=c){var k=xAe(c.shape,b);null!=k&&(c=LEe({inputs:{x:c},backend:i,attrs:{shape:k}}),x.push(c))}if(null!=s){var w=xAe(s.shape,b);null!=w&&(s=LEe({inputs:{x:s},backend:i,attrs:{shape:w}}),x.push(s))}if(!((1===g||1===y)&&m>1e3)&&v.isPacked&&b&&null!=v.texture&&d[2]%2!=0&&P$(v.shape.slice(-3),d.slice(-3))){var I=d[0]*d[1]*(d[2]+1),N={dataId:n.dataId,shape:[1,I,a.inChannels],dtype:n.dtype},S=v.shape;v.shape=v.shape.slice(),v.shape[v.shape.length-2]++,F$(mNe(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to ").concat(N.shape," isn't free")}));var T=LEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var E=XEe({a:N,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h}),C=i.texData.get(E.dataId);F$(C.isPacked,(function(){return"batchMatMul result is expected to be packed"})),v.shape=S,C.shape=a.outShape,(t=mEe({inputs:{x:E},backend:i})).shape=a.outShape,x.push(E)}else{var A=a.outHeight*a.outWidth,R=LEe({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=LEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=XEe({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h});t=LEe({inputs:{x:O},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(O)}for(var F=0,D=x;F<D.length;F++){var M=D[F];i.disposeIntermediateTensorInfo(M)}return t}function wAe(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,c=e.leakyreluAlpha,l=void 0===c?0:c,h=e.activation,p=void 0===h?null:h,f=r.filterWidth,d=r.filterHeight,v=r.inChannels,m=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*v,x=g*m,k=[r.batchSize,b,x],w=[];if(null!=u){var I=xAe(u.shape,y);null!=I&&(u=LEe({inputs:{x:u},backend:a,attrs:{shape:I}}),w.push(u))}if(null!=o){var N=xAe(o.shape,y);null!=N&&(o=LEe({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var S=LEe({inputs:{x:n},backend:a,attrs:{shape:[1,b,L$(n.shape)/b]}});w.push(S);var T=new bAe(k,r),E=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],C=a.runWebGLProgram(T,[t],"float32",E),A=LEe({inputs:{x:C},backend:a,attrs:{shape:k}});w.push(C),w.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===p,F=p?CEe(p,!0):null,D=new AEe(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",M4(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=LEe({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});w.push(z);for(var B=0,W=w;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var IAe={kernelName:e1,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dataFormat,l=a.dilations,h=a.dimRoundingMode,p=P8(c),f=T8(i.shape,o.shape,s,l,u,h,!1,p);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(f.strideWidth<=2&&"channelsLast"===p&&k0().getBool("WEBGL_EXP_CONV")){var d=new yAe(f),v=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",v)}else if(k0().getBool("WEBGL_CONV_IM2COL"))t=wAe({x:i,filter:o,convInfo:f,backend:r});else{var m=new mAe(f);t=r.runWebGLProgram(m,[i,o],"float32")}else t=kAe({x:i,filter:o,convInfo:f,backend:r});var g=LEe({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},NAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              ").concat(o?"float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n              float xValue = getX(b, d1, xR, xC);\n              dotProd += (xValue * dyValue);","\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),SAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o="channelsLast"===t.dataFormat,s=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=o?1:2,h=o?2:3,p=o?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[").concat(p,"];\n\n        ivec2 dyCorner = ivec2(coords[").concat(c,"], coords[").concat(h,"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n\n              if (").concat(o,") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),TAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,s=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yF = 0; yF < ").concat(t.outDepth,"; yF++) {\n            int xF = wF + yF * ").concat(n," - ").concat(i,";\n\n            if (xF < 0 || xF >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n              int xR = wR + yR * ").concat(r," - ").concat(o,";\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n                int xC = wC + yC * ").concat(a," - ").concat(s,";\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),EAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=n-1-t.padInfo.front,c=r-1-t.padInfo.top,h=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(u,", ").concat(c,", ").concat(h,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(n,"; wF++) {\n          float dyF = float(dyFCorner + wF) / ").concat(i,".0;\n\n          if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ").concat(n," - 1 - wF;\n\n          for (int wR = 0; wR < ").concat(r,"; wR++) {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ").concat(r," - 1 - wR;\n\n            for (int wC = 0; wC < ").concat(a,"; wC++) {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ").concat(a," - 1 - wC;\n\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var CAe={kernelName:t1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=r.filterShape,h=P8(u),p=T8(a.shape,l,o,1,s,c,!1,h),f=new NAe(p);return n.runWebGLProgram(f,[a,i],"float32")}},AAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=cSe(this.outputShape.length);var n=t.filterHeight,r=t.filterWidth,a=n-1-t.padInfo.top,i=r-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        vec4 result = vec4(0.);\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / strides[0];\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            float dyC = float(dyCCorner + wC) / strides[1];\n            bool idyCVal = (dyC >= 0.0) && (dyC < ").concat(t.outWidth,".0)\n              && (fract(dyC) == 0.0);\n            int idyC = int(dyC);\n\n            float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n            bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ").concat(t.outWidth,".0)\n              && (fract(dyC2) == 0.0);\n            int idyC2 = int(dyC2);\n\n            if (idyCVal && idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n                  dySample : getDy(batch, idyR, idyC2, d2);\n\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n\n                dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample2.xy : dySample2.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC2, d2);\n                vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            }\n          }\n        }\n        setOutput(result);\n      }\n    ")}));var RAe={kernelName:n1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode,h=P8(c),p=T8(o,i.shape,s,1,u,l,!1,h);if(k0().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&"channelsLast"===h){var f=[[p.strideHeight,p.strideWidth]],d=new AAe(p);return n.runWebGLProgram(d,[a,i],"float32",f)}var v=new SAe(p);return n.runWebGLProgram(v,[a,i],"float32")}};var _Ae={kernelName:r1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=E8(a.shape,i.shape,o,u,s),l=new gAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var OAe={kernelName:a1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,c=E8(a.shape,u,o,1,s),l=new TAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var FAe,DAe={kernelName:i1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=E8(r.inputShape,i.shape,s,1,o),c=new EAe(u);return n.runWebGLProgram(c,[a,i],"float32")}},MAe=TEe({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n",packedOpSnippet:"\n  vec4 result = cos(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(dEe,"\n  return result;\n")}),LAe={kernelName:o1,backendName:"webgl",kernelFunc:MAe},zAe=TEe({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),PAe={kernelName:s1,backendName:"webgl",kernelFunc:zAe},BAe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3],p=S(n,1)[0],f=S(r,2),d=f[0],v=f[1];this.outputShape=[p,d,v,h];var m="bilinear"===a?1:0,g="".concat(u-1,".0"),y="".concat(c-1,".0"),b=S(d>1?["".concat((u-1)/(d-1)),"(y2-y1) * height_ratio","y1*".concat(g," + float(y)*(height_scale)")]:["0.0","0.0","0.5 * (y1+y2) * ".concat(g)],3),x=b[0],k=b[1],w=b[2],I=S(v>1?["".concat((c-1)/(v-1)),"(x2-x1) * width_ratio","x1*".concat(y," + float(x)*(width_scale)")]:["0.0","0.0","0.5 * (x1+x2) * ".concat(y)],3),N=I[0],T=I[1],E=I[2];this.userCode="\n      const float height_ratio = float(".concat(x,");\n      const float width_ratio = float(").concat(N,");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ").concat(s,") {\n          return;\n        }\n\n        float height_scale = ").concat(k,";\n        float width_scale = ").concat(T,";\n\n        float in_y = ").concat(w,";\n        if( in_y < 0.0 || in_y > ").concat(g," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n        float in_x = ").concat(E,";\n        if( in_x < 0.0 || in_x > ").concat(y," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(").concat(m," == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    ")})),WAe={kernelName:l1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=new BAe(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(FAe||(FAe={}));var VAe=p((function e(t,n,r,a){l(this,e),this.op=t,this.outputShape=n,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var i=this.outputShape.length,o=this.op===FAe.Prod?"1.0":"0.0",s=r?o:"getX(".concat(UAe(i,"coords",this.op),")"),u=this.outputShape[this.outputShape.length-1],c="",h="";r?(c=a?"end != ".concat(u-1):"end != 0",h=a?"end + 1":"end - 1"):(c=a?"end + pow2 < ".concat(u):"end >= pow2",h=a?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        ".concat(eSe(i)," coords = getOutputCoords();\n        int end = ").concat(GAe(i,"coords",this.op),";\n        float val = ").concat(s,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(c,") {\n          int idx = ").concat(h,";\n          ").concat(GAe(i,"coords",this.op)," = idx;\n          val ").concat(this.op,"= getX(").concat(UAe(i,"coords",this.op),");\n        }\n        setOutput(val);\n      }\n    ")}));function UAe(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".x, ").concat(t,".y");if(3===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z");if(4===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z, ").concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function GAe(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".y");if(3===e)return"".concat(t,".z");if(4===e)return"".concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function jAe(e,t,n,r,a,i){var o=t.shape.length,s=H7([r],o),u=t;null!=s&&(u=qEe({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=K7(1,o)[0];if(c!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis=".concat(t.shape.length-1," ")+"but got axis=".concat(r));for(var l=u.shape[c],h=mEe({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var f=new VAe(e,u.shape,!1,i),d=[[p]],v=h;h=n.runWebGLProgram(f,[h],h.dtype,d),n.disposeIntermediateTensorInfo(v)}if(a){var m=new VAe(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=qEe({inputs:{x:h},backend:n,attrs:{perm:q7(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var HAe={kernelName:u1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return jAe(FAe.Prod,a,n,i,o,s)}};var qAe={kernelName:c1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return jAe(FAe.Sum,a,n,i,o,s)}};var KAe={kernelName:h1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=USe(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),p=n.bufferSync(i),f=GSe(h,p,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},XAe=function(){function e(t,n,r){l(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return p(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}();var YAe={kernelName:p1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new XAe("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},JAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",h="";r&&(c=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),h="result = activation(result);");var p=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(c,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(u,";\n        int q = d2 - d1 * ").concat(u,";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ").concat(o,"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(s,"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ").concat(p,"\n        ").concat(h,"\n        setOutput(result);\n      }\n    ")})),ZAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,h=t.filterHeight,p=t.filterWidth,f=p,d="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",v=0;v<p;v++)d+="\n          vec4 xTexelC".concat(2*v,";\n          int xTexelC").concat(2*v,"Ready;\n          vec4 xTexelC").concat(2*v+1,";\n          int xTexelC").concat(2*v+1,"Ready;\n          vec4 xC").concat(v,";");d+="\n    for (int r = 0; r < ".concat(h,"; r++) {\n      ");for(var m=0;m<p;m++)d+="\n          xTexelC".concat(2*m," = vec4(0.0);\n          xTexelC").concat(2*m,"Ready = 0;\n          xTexelC").concat(2*m+1," = vec4(0.0);\n          xTexelC").concat(2*m+1,"Ready = 0;\n          xC").concat(m," = vec4(0.0);");d+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var g=0;g<(f+1)/2;g++){var y=2*g;if(d+="\n          xC = xCCorner + ".concat(y*c,";\n          "),1===u){if(y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n              "),d+=1===c&&y>0?"\n                xC".concat(y," = vec4(xTexelC").concat(y-2,".zw, xTexelC").concat(y,".xy);\n                "):"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC".concat(y," = vec4(previous.zw, xTexelC").concat(y,".xy);\n                  } else {\n                    xC").concat(y," = vec4(0.0, 0.0, xTexelC").concat(y,".xy);\n                  }\n                  ")):d+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                xC").concat(y," = xTexelC").concat(y,";\n                "),y+1<p)){var b=s%2==0?R$(c):c;c%2==0&&s%2==1||c%2!=0&&s%2!=1?(d+="\n                  xCOffset = xC + imod(pads[1], 2) + ".concat(b,";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                    xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC").concat(y+1,".zw = vec2(0.0);\n                    }\n                    xTexelC").concat(y+1,"Ready = 1;\n                  }\n                  "),d+=c>1?"\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n                     xC".concat(y+1," = vec4(previous.zw, xTexelC").concat(y+1,".xy);\n                    } else {\n                     xC").concat(y+1," = vec4(0.0, 0.0, xTexelC").concat(y+1,".xy);\n                    }\n                    "):"\n                    xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".xy);\n                    ")):d+=1===b?"\n                    xC".concat(y+1," = xTexelC").concat(y,";\n                    "):"\n                    xCOffset = xC + ".concat(b,";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                      xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC").concat(y+1,".zw = vec2(0.0);\n                      }\n                      xTexelC").concat(y+1,"Ready = 1;\n                    }\n\n                    xC").concat(y+1," = xTexelC").concat(y+1,";\n                    ")}}else y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                  xTexelC").concat(y+1," = getX(batch, xR, xC + 1, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xC + 2 >= inDims[1]) {\n                    xTexelC").concat(y+1,".zw = vec2(0.0);\n                  }\n              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n=ANe(),r=S(t,2),a=r[0],i=r[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(".concat(i,".0, ").concat(a,".0);\n            vec4 values = ").concat(n.texture2D,"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n     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WRe={kernelName:M3,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,c=a.strides,l=a.pad,h=a.dataFormat,p=a.dilations,f=a.dimRoundingMode,d=a.activation,v=a.leakyreluAlpha,m=P8(h),g=T8(i.shape,o.shape,c,p,l,f,!1,m),y=[],b=null!=s,x=null!=u,k="leakyrelu"===d,w=function(){var e=[i,o],t=function(e,t){if("NCHW"===t&&1===e.shape.length&&1!==e.shape[0]){var n=LEe({inputs:{x:e},backend:r,attrs:{shape:[e.shape[0],1,1]}});return y.push(n),n}return e};if(b&&e.push(t(s,h)),x&&e.push(t(u,h)),k){var n=r.makeTensorInfo([],"float32",M4(v,"float32"));e.push(n),y.push(n)}return e};if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(g.strideWidth<=2&&"channelsLast"===m&&k0().getBool("WEBGL_EXP_CONV")){var I=d?CEe(d,!0):null,N=new 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URe(o,p,[l,h],r.shape),b=n.runWebGLProgram(y,[d,f],d.dtype),x=LEe({inputs:{x:b},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},jRe=p((function e(t,n){l(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=eSe(this.rank),a=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push("".concat(n[a]));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(r," resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < ").concat(t[2],") ? 1.0 : 0.0;\n        setOutput(inBounds * getA(").concat(a,"));\n      }\n    ")}));function HRe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=j$(o,a.shape)[0];if(k0().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var 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float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),d_e={kernelName:Q1,backendName:"webgl",kernelFunc:f_e},v_e=TEe({opSnippet:"return float(!(x >= 1.0));"}),m_e={kernelName:$1,backendName:"webgl",kernelFunc:v_e},g_e=EEe({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),y_e={kernelName:e2,backendName:"webgl",kernelFunc:g_e},b_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[];var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -".concat(s,"; j <= ").concat(s,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(u,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(o,";\n        setOutput(val);\n      }\n    ")})),x_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ".concat(this.outputShape[3],";\n        bool hasNextRow = c < ").concat(this.outputShape[2],";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ").concat(s,";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ").concat(s,"; j <= ").concat(s,"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(").concat(u,"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            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depthEnd = int(min(float(").concat(this.depth,"),\n              float(d + ").concat(n," + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ").concat(this.depth,";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(").concat(a,") * norm + float(").concat(r,");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(").concat(a,")\n                * float(").concat(i,")\n                * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ").concat(i,");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    ")})),I_e={kernelName:r2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,c=r.alpha,l=r.beta,h=new w_e(a.shape,s,u,c,l);return n.runWebGLProgram(h,[a,i,o],a.dtype)}};function N_e(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=null!=l,p=n.shouldExecuteOnCPU([a]),f=a;if(h){if(p){for(var d=n.texData.get(f.dataId).values,v=new Array(s),m=0;m<v.length;m++)v[m]=a.shape[l[m]];var 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"+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return mEe({inputs:{x:a},backend:n});var l=new ECe(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var A_e={kernelName:u2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=S8(a.shape,i,o,[1,1,1],s,c,u),h=new CCe(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},R_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(i,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(o,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ").concat(c," - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ").concat(o," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),__e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=u-1-t.padInfo.front,f=c-1-t.padInfo.top,d=h-1-t.padInfo.left,v=u*c*h-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(p,", ").concat(f,", ").concat(d,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(u,";\n           wD += ").concat(i,") {\n          float dyD = float(dyDCorner + wD) / ").concat(n,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(c,";\n              wR += ").concat(o,") {\n            float dyR = float(dyRCorner + wR) / ").concat(r,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(h,";\n                wC += ").concat(s,") {\n              float dyC = float(dyCCorner + wC) / ").concat(a,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ").concat(v," -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ").concat(c," * ").concat(h," +\n                  wR * ").concat(h," + wC;\n              float mask = float(maxPosValue == curPosValue ? 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NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? 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t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),c=a.map((function(e){return e.shape})),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=S(fTe(u,c,l,i.shape,i.dtype,h,o.shape,s),3),f=p[0],d=p[1],v=p[2],m=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(v,i.dtype,d);return m.concat([g])}};var xOe={kernelName:_2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=S(dTe(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}};var kOe={kernelName:O2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=S(vTe(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,f,u),2),v=d[0],m=d[1];return n.makeTensorInfo(v,i.dtype,m)}},wOe=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=mTe(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},IOe={kernelName:F2,backendName:"webgl",kernelFunc:wOe},NOe=TEe({opSnippet:"return 1.0 / x;"}),SOe={kernelName:M2,backendName:"webgl",kernelFunc:NOe},TOe=TEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),EOe={kernelName:L2,backendName:"webgl",kernelFunc:TOe},COe=TEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),AOe={kernelName:U2,backendName:"webgl",kernelFunc:COe},ROe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ")})),_Oe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    ")}));var OOe={kernelName:W2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new _Oe(a.shape,u,c,i,o):new ROe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},FOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-1,".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ").concat(o-1,".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var DOe={kernelName:V2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new FOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},MOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ")})),LOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        vec4 newValue = vec4(\n          getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n          hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n        setOutput(newValue);\n      }\n    ")}));var zOe={kernelName:P2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new LOe(a.shape,u,c,i,o):new MOe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},POe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(").concat(h[0],") *\n                (float(dyR) / float(").concat(p[0],"));\n\n            float sourceFracCol =\n                float(").concat(h[1],") *\n                  (float(dyC) / float(").concat(p[1],"));\n\n            int sourceNearestRow = int(min(\n                float(int(").concat(i,") - 1),\n                ").concat(r," ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(").concat(o,") - 1),\n                ").concat(r," ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var BOe={kernelName:B2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new POe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},WOe=p((function e(t,n){l(this,e),this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));if(this.outputShape=t,1!==r){var a=t.map((function(e,r){return function(e){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - coords[").concat(e,"] - 1"):"coords[".concat(e,"]")}(r)})).join(","),i=eSe(r);this.userCode="\n      void main() {\n        ".concat(i," coords = getOutputCoords();\n        setOutput(getX(").concat(a,"));\n      }\n    ")}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(".concat(t[0]," - coord - 1));\n        }\n      ")})),VOe=p((function e(t,n){l(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));this.outputShape=t;var a=zTe("rc",r),i="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),o="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),s=eSe(r);function u(e){var r=t.map((function(r,a){return function(e,r){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - ").concat(r[e]," - 1"):"".concat(r[e])}(a,e)})),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(i,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void 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FFe={kernelName:y3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.skipEmpty,a=t.input,i=t.delimiter;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(1!==a.shape.length)throw new Error("Input must be a vector, got shape: ".concat(a.shape));if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: ".concat(i.shape));var o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=S(ATe(o,s,r),3),c=u[0],l=u[1],h=u[2],p=l.length;return[n.makeTensorInfo([p,2],"int32",c),n.makeTensorInfo([p],"string",l),n.makeTensorInfo([2],"int32",new Int32Array(h))]}};var DFe={kernelName:b3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.numBuckets,a=t.input;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");var i=n.readSync(a.dataId),o=RTe(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},MFe=TEe({opSnippet:"return 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n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),b}},WFe=p((function e(t,n){l(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[a]*n[a];this.outputShape=r,this.rank=r.length;var i=eSe(this.rank),o=function(e){var t=e.length;if(t>5)throw Error("Tile for rank ".concat(t," is not yet supported"));if(1===t)return"imod(resRC, ".concat(e[0],")");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod(".concat(n[a],", ").concat(e[a],")"));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(i," resRC = getOutputCoords();\n        setOutput(getA(").concat(o,"));\n      }\n    ")}));function VFe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reps;if("string"===a.dtype||a.shape.length>5){var o=n.readSync(a.dataId),s="string"===a.dtype?o.map((function(e){return 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E.g. for output at\n         // index 4,5,6,7, we want to get the corresponding element at\n         // original index 8,9,10,11, for output at index 8,9,10,11,\n         // we want to get the corresponding element at original index\n         // 16,17,18,19, so on and so forth.\n\n         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n         float x0 = getX(batch, i0);\n         float x1 = i1 < n ? getX(batch, i1) : x0;\n\n         setOutput(x0 >= x1 ? float(i0) : float(i1));\n       }\n     "}));function HFe(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function qFe(e){for(var t=1;t<e;)t*=2;return t}var KFe={kernelName:N3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted,s=k0().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=k0().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),c=a.shape,l=c[c.length-1];if(n.shouldExecuteOnCPU([a])||l<s||i>u){var h=n.readSync(a.dataId),p=S(FTe(h,c,a.dtype,i,o),2),f=p[0],d=p[1];return[n.makeTensorInfo(f.shape,f.dtype,f.values),n.makeTensorInfo(d.shape,d.dtype,d.values)]}if(0===i)return c[c.length-1]=0,[n.makeTensorInfo(c,a.dtype,[]),n.makeTensorInfo(c,"int32",[])];if(1===l)return[a,TRe({attrs:{shape:c,dtype:"int32",value:0},backend:n})];var v=n.texData.get(a.dataId),m=null!==v&&v.isPacked,g=m?n.unpackTensor(a):a,y=L$(c)/l,b=LEe({inputs:{x:g},attrs:{shape:[y,l]},backend:n});m&&HFe(n,g);for(var x=qFe(i),k=qFe(l),w=null,I=function(){return null===w?[b,b]:[b,w]},N=function(e,t,r){var a=I(),i=new GFe(r),o=[[l],[null===w?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=w;w=n.runWebGLProgram(i,a,"int32",o),HFe(n,s)},T=1;T<x;T*=2)for(var E=2*T,C=T;C>=1;C/=2)N(E,C,[y,k]);for(var A=k;A>x;A/=2){var R=I(),_=new jFe([y,A/2]),O=[[l],[null===w?1:0],[x]],F=w;w=n.runWebGLProgram(_,R,"int32",O),HFe(n,F);for(var D=x/2,M=2*D,L=D;L>=1;L/=2)N(M,L,w.shape)}var z=w;w=UCe({inputs:{x:w},backend:n,attrs:{begin:0,size:[y,i]}}),HFe(n,z);var P=HRe({inputs:{x:b,indices:w},backend:n,attrs:{axis:1,batchDims:1}});HFe(n,b);var B=c.slice(0,-1);B.push(i),z=w,w=LEe({inputs:{x:w},attrs:{shape:B},backend:n}),HFe(n,z);var W=P;return P=LEe({inputs:{x:P},attrs:{shape:B},backend:n}),HFe(n,W),[P,w]}},XFe=p((function e(t,n,r,a,i,o){l(this,e),this.variableNames=["Image","Transforms"],this.outputShape=o;var s,u="nearest"===r?1:2;switch(a){case"constant":default:s=1;break;case"reflect":s=2;break;case"wrap":s=3;break;case"nearest":s=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if(".concat(s," == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n      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} else {\n                    float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if (").concat(s," == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < ").concat(t," && 0 <= coordX && coordX < ").concat(n,") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float(").concat(i,");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float(").concat(i,");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float(").concat(n,"));\n                float mapY = mapCoord(inY, float(").concat(t,"));\n\n                if (").concat(u," == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        ")}));var YFe={kernelName:S3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.transforms,o=r.interpolation,s=r.fillMode,u=r.fillValue,c=r.outputShape,l=S(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=S(null!=c?c:[p,f],2),m=v[0],g=v[1],y=new XFe(p,f,o,s,u,[h,m,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var JFe={kernelName:E3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;TNe(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=MTe(o,a,i.shape,i.dtype),u=s.outputValues,c=s.outputShape,l=s.indices;return[r.makeTensorInfo(c,i.dtype,u),r.makeTensorInfo([l.length],"int32",l)]}};var ZFe={kernelName:C3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],c=new Array(s-1),l=0,h=0;h<s;h++)h!==i&&(c[l++]=o.shape[h]);var p=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var v=new Array(u),m=0;m<v.length;m++){f[i]=m;var g=UCe({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=LEe({inputs:{x:g},backend:n,attrs:{shape:c}});v[m]=y,p.push(g)}return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}},QFe=p((function e(t,n){l(this,e),this.variableNames=["x","segmentIds"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.numSegments,s=o*Math.ceil(i/r);this.outputShape=[a,s];var u=4*Math.floor(r/4),c=r%4,h="\n        sumValue += dot(values, segFilter);\n    ",p="";i%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return initializationValue;\n        }\n      "));var f="";i%r>0&&(f="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return -1.0;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat("0.0",";\n\n      float getValue(int batch, int inIdx) {\n        ").concat(p,"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ").concat(f,"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ").concat(o,")) * float(").concat(r,"));\n        int currentSeg = int(mod(float(outIdx), float(").concat(o,")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(u,"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ").concat(h,"\n        }\n\n        int inIdx = inOffset + ").concat(u,";\n        if (").concat(1===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ").concat(h,"\n        } else if (").concat(2===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ").concat(h,"\n        } else if (").concat(3===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n      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e=this;U3(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;U3(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof T$||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,z3("Initialization of backend ".concat(e," failed")),z3(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return z3("Initialization of backend ".concat(e," failed")),z3(t.stack||t.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=E5.runKernel(W1,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return E5.runKernel(X0,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=W3(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=k5(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(k5(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var f=W3(l,this.backendName);F$(null!=f,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return d(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=k5(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n}},{key:"getTensorsForGradient",value:function(e,t,n){var r=V3(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(F$(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{key:"makeTensor",value:function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&$$(e[0])&&(a=e.map((function(e){return B4(e)})));var i=r.write(a,t,n),o=new n5(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=Q$(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new n5(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new c5(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*Z$(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof c5||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*Z$(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:(n=c(o().mark((function e(t){var n,r,a,i,s;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,T(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return s=i.value,e.next=18,s.kernelTimeMs;case 18:return s.kernelTimeMs=e.sent,e.next=21,s.extraInfo;case 21:s.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),a.e(e.t0);case 29:return e.prev=29,a.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])}))),function(e){return n.apply(this,arguments)})},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=V3(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=l0(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=y5(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(F$(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));F$(i instanceof n5,(function(){return"The result y returned by f() must be a tensor."}));var o=q4(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e={};e[i.id]=null==n?N5(i.shape):n,K4(e,o,(function(e){return r.tidy(e)}),C5);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=O(e.saved);try{for(n.s();!(t=n.n()).done;){t.value.dispose()}}catch(e){n.e(e)}finally{n.f()}})),r.state.activeTape=null),{value:i,grads:a}}))}},{key:"customGrad",value:function(e){var t=this;return F$(r0(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;F$(r.every((function(e){return e instanceof n5})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return F$((i=e.apply(void 0,[].concat(r,[n]))).value instanceof n5,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),F$(r0(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];F$(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),F$(a.every((function(e){return e instanceof n5})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}}},{key:"readSync",value:function(e){return this.state.tensorInfo.get(e).backend.readSync(e)}},{key:"read",value:function(e){return this.state.tensorInfo.get(e).backend.read(e)}},{key:"readToGPU",value:function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}},{key:"time",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=z4(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=z4()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"track",value:function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}},{key:"registeredVariables",get:function(){return this.state.registeredVariables}},{key:"reset",value:function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new w5,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}]),e}();function N5(e){var t=c0(L$(e),"float32");return E5.makeTensor(t,e,"float32")}function S5(){var t=w0();if(null==t._tfengine){var n=new y0(t);t._tfengine=new I5(n)}return function(t){e.ENV=t}(t._tfengine.ENV),e5=function(){return t._tfengine},t._tfengine}I5.nextTensorId=0,I5.nextVariableId=0;var T5,E5=S5();function C5(e,t){var n={a:e,b:t};return E5.runKernel(E0,n)}function A5(e){if(void 0!==T5)return T5;if(e||"undefined"!=typeof navigator&&null!=navigator){if(e||(e=navigator),"ReactNative"===e.product)return!0;var t=e.userAgent||e.vendor||("undefined"!=typeof window?window.opera:"");if(!t){var n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( 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fte.apply(this,arguments)};var vte=B5({sign_:function(e){var t={x:L5(e,"x","sign")};return E5.runKernel(e3,t)}});var mte=B5({sin_:function(e){var t={x:L5(e,"x","sin","float32")};return E5.runKernel(Q2,t)}});var gte=B5({sinh_:function(e){var t={x:L5(e,"x","sinh")};return E5.runKernel($2,t)}});var yte=B5({slice1d_:function(e,t,n){var r=L5(e,"x","slice1d");return F$(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,[t],[n])}});var bte=B5({slice2d_:function(e,t,n){var r=L5(e,"x","slice2d");return F$(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var xte=B5({slice3d_:function(e,t,n){var r=L5(e,"x","slice3d");return F$(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var kte=B5({slice4d_:function(e,t,n){var r=L5(e,"x","slice4d");return F$(4===r.rank,(function(){return"slice4d expects a 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n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=L5(e,"x","split"),a={x:r},i={numOrSizeSplits:t,axis:n};return E5.runKernel(o3,a,i)}});var Ete=B5({rfft_:function(e,t){F$("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got ".concat(e.dtype)}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=q8(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=G8([e,H9(s)],e.shape.length-1),r=t}else n=e;var u=F7(n),c=W8(W5(n,u),[a,r]),l=Ite(c),h=Math.floor(r/2)+1,p=ete(l),f=f9(l),d=Tte(p,[h,r-h],p.shape.length-1),v=Tte(f,[h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,W8(W5(d[0],v[0]),m)}});var Cte=B5({squaredDifference_:function(e,t){var n=L5(e,"a","squaredDifference"),r=L5(t,"b","squaredDifference"),a=S(v5(n,r),2);n=a[0],r=a[1],A7(n.shape,r.shape);var i={a:n,b:r};return E5.runKernel(f3,i,{})}});var Ate=B5({squeeze_:function(e,t){var n=L5(e,"x","squeeze","string_or_numeric");return W8(n,H$(n.shape,t).newShape)}});var Rte=B5({stack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=z5(e,"tensors","stack","string_or_numeric");F$(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&F$(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return E5.runKernel(S2,r,a)}});var _te=B5({step_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","step"),r={x:n},a={alpha:t};return E5.runKernel(_3,r,a)}});var Ote=B5({stridedSlice_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:0,u=arguments.length>8&&void 0!==arguments[8]?arguments[8]:0,c=L5(e,"x","stridedSlice","string_or_numeric"),l={x:c},h={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return E5.runKernel(m3,l,h)}});var Fte=B5({tan_:function(e){var t={x:L5(e,"x","tan","float32")};return E5.runKernel(k3,t)}});function Dte(e,t){M$(e);var n=F5(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return V5(e,null,n,t)}function Mte(e,t,n){if(M$(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=F5(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return V5(e,t,r,n)}function Lte(e,t,n){if(M$(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=F5(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function zte(e,t,n){if(M$(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=F5(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Pte(e,t,n){if(M$(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=F5(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Bte(e,t,n){if(M$(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=F5(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return V5(e,t=t||r,r,n)}function Wte(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(i+" update.rank < ".concat(a,". "));if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != ".concat(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape[".concat(o,"] (").concat(n.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}function Vte(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}Wte(n,t,e)}function Ute(e,t,n){for(var r=t.shape.length,a=r>1?t.shape[r-1]:1,i=n.length,o=1,s=a;s<i;++s)o*=n[s];var u=a<1?1:a;return{sliceRank:a,numUpdates:L$(t.shape)/u,sliceSize:o,strides:[].concat(T(i0(n.slice(0,a))),[1]),outputSize:L$(n)}}var Gte={__proto__:null,calculateShapes:Ute,validateInput:Vte,validateUpdateShape:Wte};var jte=B5({tensorScatterUpdate_:function(e,t,n){var r=L5(e,"tensor","tensorScatterupdate"),a=L5(t,"indices","tensorScatterupdate","int32"),i=L5(n,"updates","tensorScatterupdate");if(Vte(i,a,r.shape),r.dtype!==i.dtype)throw new Error("tensor and updates must have the same dtype, instead they are ".concat(r.dtype," and ").concat(i.dtype,"."));var o={tensor:r,indices:a,updates:i};return E5.runKernel(K2,o,{})}});var Hte=B5({topk_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var i={x:r},o={k:t,sorted:n},s=E5.runKernel(N3,i,o),u=S(s,2),c=u[0],l=u[1];return{values:c,indices:l}}});var qte=B5({truncatedNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(p0(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new Hee(t,n,r,!0,a),o=K6(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var Kte=B5({unique_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unique","string_or_numeric");F$(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=E5.runKernel(E3,r,a),o=S(i,2),s=o[0],u=o[1];return{values:s,indices:u}}});var Xte=B5({unsortedSegmentSum_:function(e,t,n){var r=L5(e,"x","unsortedSegmentSum"),a=L5(t,"segmentIds","unsortedSegmentSum","int32");F$(B$(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return E5.runKernel(A3,i,o)}});var Yte=B5({unstack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unstack","string_or_numeric");F$(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = ".concat(t," is not in [-").concat(n.shape.length,", ").concat(n.shape.length,")")}));var r={value:n},a={axis:t};return E5.runKernel(C3,r,a)}});function Jte(e,t){return P9(e,t,"right")}function Zte(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;return E5.makeVariable(e,t,n,r)}function Qte(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=K6(e,"int32"),i=K6([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function $te(){return($te=c(o().mark((function e(t){var n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=L5(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=Qte(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var ene=function(e){return $te.apply(this,arguments)};function tne(){return tne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=L5(t,"tensor","boolMask"),i=L5(n,"mask","boolMask","bool"),s=null==r?0:r,u=i.rank,c=a.shape,F$(u>0,(function(){return"mask cannot be scalar"})),D$(c.slice(s,s+u),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,h=s;h<s+u;h++)l*=c[h];return p=c.slice(0,s).concat([l],c.slice(s+u)),f=W8(a,p),d=W8(i,[-1]),e.next=14,ene(d);case 14:return v=e.sent,m=Ate(v,[1]),g=l9(f,m,s),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),f.dispose(),d.dispose(),v.dispose(),e.abrupt("return",g);case 24:case"end":return e.stop()}}),e)}))),tne.apply(this,arguments)}var nne=function(e,t,n){return tne.apply(this,arguments)};var rne=B5({transpose_:function(e,t,n){var r=L5(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),F$(r.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(r.rank," ")+"must match length of perm ".concat(t,".")})),t.forEach((function(e){F$(e>=0&&e<r.rank,(function(){return"All entries in 'perm' must be between 0 and ".concat(r.rank-1)+" but got ".concat(t)}))})),r.rank<=1)return r.clone();var a={x:r},i={perm:t};return"complex64"===r.dtype?e8((function(){var e=ete(r),t=f9(r);return e=E5.runKernel(T3,{x:e},i),t=E5.runKernel(T3,{x:t},i),n&&(t=E9(t)),W5(e,t)})):E5.runKernel(T3,a,i)}});var ane=B5({movingAverage_:function(e,t,n,r){var a=!(arguments.length>4&&void 0!==arguments[4])||arguments[4],i=L5(e,"v","movingAverage"),o=L5(t,"x","movingAverage"),s=L5(n,"decay","movingAverage");m5(i,o),F$(P$(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=Z7(1),c=R9(u,s),l=c8(R9(o,i),c);if(a){F$(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=L5(r,"step","movingAverage");l=u8(l,R9(u,J7(s,h)))}return o8(i,l)}});var ine=B5({scatterND_:function(e,t,n){p0(n);var r=L5(e,"indices","scatterND","int32"),a=L5(t,"updates","scatterND");Vte(a,r,n);var i={indices:r,updates:a},o={shape:n};return E5.runKernel(q2,i,o)}});function one(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+" but the dtype was ".concat(e.dtype,"."));if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+" but got shape ".concat(e.shape,"."));var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:,"+" ".concat(n.length,", should be: ").concat(i,"."));var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}var sne=B5({sparseToDense_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0;p0(n);var a=L5(e,"sparseIndices","sparseToDense","int32"),i=L5(t,"sparseValues","sparseToDense","string_or_numeric"),o=L5(r,"defaultValue","sparseToDense",i.dtype);one(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return E5.runKernel(p3,s,u)}});var une=B5({gatherND_:function(e,t){var n=L5(t,"indices","gatherND","int32"),r={params:L5(e,"x","gatherND","string_or_numeric"),indices:n};return E5.runKernel(z1,r)}});var cne=B5({dropout_:function(e,t,n,r){var a=L5(e,"x","dropout");if(F$("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),F$(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof n5?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(P$(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=u8(c9(o8(Zee(i,0,1,"float32",r),o)),o);return c8(a,s)}});function lne(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function hne(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return Dte(a,"float32")}function pne(){return pne=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=b.length>2&&void 0!==b[2]?b[2]:1,a=L5(t,"predictions","inTopK"),i=L5(n,"targets","inTopK"),F$(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(a.rank)})),F$(a.rank-1===i.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+"".concat(a.rank," and targets rank ").concat(i.rank)})),D$(a.shape.slice(0,a.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),s=a.shape[a.shape.length-1],F$(r>0&&r<=s,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension (".concat(s,"), but got ").concat(r)})),e.next=10,a.data();case 10:return u=e.sent,e.next=13,i.data();case 13:c=e.sent,l=u.length/s,h=s,p=q$("bool",l),f=0;case 17:if(!(f<l)){e.next=35;break}for(d=f*h,v=u.subarray(d,d+h),m=[],g=0;g<v.length;g++)m.push({value:v[g],index:g});m.sort((function(e,t){return t.value-e.value})),p[f]=0,y=0;case 25:if(!(y<r)){e.next=32;break}if(m[y].index!==c[f]){e.next=29;break}return p[f]=1,e.abrupt("break",32);case 29:y++,e.next=25;break;case 32:f++,e.next=17;break;case 35:return t!==a&&a.dispose(),n!==i&&i.dispose(),e.abrupt("return",U5(p,i.shape,"bool"));case 38:case"end":return e.stop()}}),e)}))),pne.apply(this,arguments)}var fne=function(e,t){return pne.apply(this,arguments)};var dne=B5({conv2DBackpropFilter_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=arguments.length>6?arguments[6]:void 0,s=e;3===e.rank&&(s=W8(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=W8(t,[1,t.shape[0],t.shape[1],t.shape[2]])),F$(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+"".concat(s.shape,".")})),F$(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+"".concat(u.shape,".")})),F$(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+"".concat(n,".")}));var c="NHWC"===i?s.shape[3]:s.shape[1],l="NHWC"===i?u.shape[3]:u.shape[1];F$(c===n[2],(function(){return"Error in conv2dDerFilter: depth of input ".concat(c,") must ")+"match input depth in filter (".concat(n[2],".")})),F$(l===n[3],(function(){return"Error in conv2dDerFilter: depth of dy (".concat(l,") must 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".concat(g.shape[2],".")})),F$(L8(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. "+"Got strides ".concat(r," and dilations '").concat(u,"'")}));var k,w,I=T8(y.shape,g.shape,r,u,a,c);if(null!=l){var N=S(v5(k=L5(l,"bias","fused conv2d"),m),1);k=N[0],"NHWC"===o?A7(I.outShape,k.shape):(F$(k.shape.length<=1,(function(){return"Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of "+"rank-".concat(k.shape.length,".")})),F$(0===k.shape.length||k.shape[0]===I.outChannels||1===k.shape[0],(function(){return"Error in fused conv2d: bias shape (".concat(k.shape,") is not ")+"compatible with the number of output channels "+"(".concat(I.outChannels,")")})))}if(null!=f){var T=f.shape;if(F$(T.length<=1||3===T.length,(function(){return"Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of "+"rank-".concat(T.length,".")})),1===T.length)F$(1===T[0]||T[0]===I.outChannels,(function(){return"Error in fused conv2d: PReLU activation weights "+"(".concat(T,") is not compatible with the number of output ")+"channels (".concat(I.outChannels,").")}));else if(3===T.length)try{A7(T,I.outShape)}catch(e){var E="Error in fused conv2d: PReLU activation weights (".concat(T,") ")+"is not compatible with the output shape of the conv2d "+"(".concat(I.outShape,").");throw Error(E)}w=L5(f,"prelu weights","fused conv2d")}var C=function(e,t){F$("NHWC"===o,(function(){return"Error in gradient of fused conv2D: got dataFormat of ".concat(o," but only NHWC is currently supported.")}));var n=S(t,4),i=n[0],s=n[1],c=n[2],l=n[3],h=vne(e,c,p);F$(M8(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 "+"are not yet supported in gradients. 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Got strides ".concat(r," and dilations '").concat(u,"'")})),B8("fused depthwiseConv2d",a,c);var x,k,w=T8(y.shape,g.shape,r,u,a,c,!0);if(null!=l){var I=S(v5(x=L5(l,"bias","fused conv2d"),m),1);x=I[0],A7(w.outShape,x.shape)}null!=f&&(k=L5(f,"prelu weights","fused depthwiseConv2d"));var N=function(e,t){F$(M8(u),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. 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a||o?!a&&o?(n=j8(f,l,!1,!1),r=j8(f,u,!0,!1)):a&&!o?(n=j8(l,f,!1,!0),r=j8(u,f,!1,!1)):(n=j8(l,f,!0,!0),r=j8(f,u,!0,!0)):(n=j8(f,l,!1,!0),r=j8(u,f,!0,!1)),null!=s?[n,r,mne(p,f)]:[n,r]},O={a:A,b:R,bias:T,preluActivationWeights:E},F={transposeA:a,transposeB:o,activation:c,leakyreluAlpha:p};if(null==s){var D=S9((function(e,t,n){var r=E5.runKernel(D3,O,F);return n([e,t,r]),{value:W8(r,C),gradFunc:_}}));return D(A,R)}var M=S9((function(e,t,n,r){var a=E5.runKernel(D3,O,F);return r([e,t,a,n]),{value:W8(a,C),gradFunc:_}}));return M(A,R,T)}}),Nne={__proto__:null,conv2d:bne,depthwiseConv2d:wne,matMul:Ine};var Sne=B5({hammingWindow_:function(e){return hne(e,.54,.46)}});var Tne=B5({hannWindow_:function(e){return hne(e,.5,.5)}});var Ene=B5({frame_:function(e,t,n){for(var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=0,o=[];i+t<=e.size;)o.push(q8(e,i,t)),i+=n;if(r)for(;i<e.size;){var 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".concat(s.shape,".")})),F$(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+"length ".concat(r.length,".")})),F$(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was ".concat(r)})),F$("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was ".concat(a)}));var l={image:o,boxes:s,boxInd:u},h={method:a,extrapolationValue:i,cropSize:r},p=E5.runKernel(l1,l,h);return p}});var Rne=B5({flipLeftRight_:function(e){var t=L5(e,"image","flipLeftRight","float32");F$(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,"+"but got rank ".concat(t.rank,".")}));var n={image:t};return E5.runKernel(O1,n,{})}});var _ne=B5({grayscaleToRGB_:function(e){var t=L5(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];F$(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),F$(1===r,(function(){return"Error in grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,s9(t,a)}});var One=B5({rgbToGrayscale_:function(e){var t=L5(e,"image","RGBToGrayscale"),n=t.rank-1,r=t.shape[n];F$(t.rank>=2,(function(){return"Error in RGBToGrayscale: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),F$(3===r,(function(){return"Error in RGBToGrayscale: last dimension of an RGB image "+"should be size 3, but got size ".concat(r,".")}));var a,i=t.dtype,o=X6(t,"float32"),s=Dte([.2989,.587,.114]);switch(t.rank){case 2:a=L7("ij,j->i",o,s);break;case 3:a=L7("ijk,k->ij",o,s);break;case 4:a=L7("ijkl,l->ijk",o,s);break;case 5:a=L7("ijklm,m->ijkl",o,s);break;case 6:a=L7("ijklmn,n->ijklm",o,s);break;default:throw new Error("Not a valid tensor rank.")}return a=i9(a,-1),X6(a,i)}});var Fne=B5({rotateWithOffset_:function(e,t){var n=arguments.length>2&&void 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0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","logLoss"),s=L5(n,"predictions","logLoss"),u=null;null!=r&&(u=L5(r,"weights","logLoss")),D$(o.shape,s.shape,"Error in logLoss: ");var c=Z7(1),l=Z7(a),h=E9(c8(o,w9(o8(s,l)))),p=c8(R9(c,o),w9(o8(R9(c,s),l))),f=R9(h,p);return cre(f,u,i)}});var vre=B5({meanSquaredError_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","meanSquaredError"),o=L5(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=L5(r,"weights","meanSquaredError")),D$(i.shape,o.shape,"Error in meanSquaredError: ");var u=Cte(i,o);return cre(u,s,a)}});function mre(e,t){var n=L5(e,"labels","sigmoidCrossEntropyWithLogits"),r=L5(t,"logits","sigmoidCrossEntropyWithLogits");D$(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=nte(r),i=c8(r,n),o=I9(a9(E9(l8(r))));return o8(R9(a,i),o)}var gre=B5({sigmoidCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"multiClassLabels","sigmoidCrossEntropy"),s=L5(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","sigmoidCrossEntropy")),D$(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var c=Z7(a),l=Z7(1),h=Z7(.5);o=o8(c8(o,R9(l,c)),c8(h,c))}var p=mre(o,s);return cre(p,u,i)}});function yre(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. Labels / logits was rank ".concat(t.rank," ")+"and dim was ".concat(n));var r=S9((function(e,t,r){var a=O9(t,[n],!0),i=R9(X6(t,"float32"),a);r([e,i]);var o=E9(c8(i,e));return{value:e9(o,[n]),gradFunc:function(e,t){var r=S(t,2),a=r[0],i=r[1],o=G7(e.shape,[n]);return[c8(W8(e,o),R9(X6(a,"float32"),a9(i))),c8(W8(e,o),R9(a9(i),X6(a,"float32")))]}}}));return r(e,t)}var bre=B5({softmaxCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"onehotLabels","softmaxCrossEntropy"),s=L5(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","softmaxCrossEntropy")),D$(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var c=Z7(a),l=Z7(1),h=Z7(o.shape[1]);o=o8(c8(o,R9(l,c)),u8(c,h))}var p=yre(o,s);return cre(p,u,i)}});var xre=B5({sparseFillEmptyRows_:function(e,t,n,r){var a=L5(e,"indices","sparseFillEmptyRows","int32"),i=L5(t,"values","sparseFillEmptyRows"),o=L5(n,"denseShape","sparseFillEmptyRows","int32"),s=L5(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        ".concat(a.shape));if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape ".concat(i.shape));if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(o.shape));if(0!==s.rank)throw new Error("Default value should be a scalar but received shape ".concat(s.shape));var u={indices:a,values:i,denseShape:o,defaultValue:s},c=E5.runKernel(u3,u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var kre=B5({sparseReshape_:function(e,t,n){var r=L5(e,"inputIndices","sparseReshape","int32"),a=L5(t,"inputShape","sparseReshape","int32"),i=L5(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n        ".concat(r.shape));if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape ".concat(a.shape));if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape ".concat(i.shape));var o={inputIndices:r,inputShape:a,newShape:i},s=E5.runKernel(c3,o);return{outputIndices:s[0],outputShape:s[1]}}});var wre=B5({sparseSegmentMean_:function(e,t,n){var r=L5(e,"data","sparseSegmentMean"),a=L5(t,"indices","sparseSegmentMean","int32"),i=L5(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n          ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(l3,o)}});var Ire=B5({sparseSegmentSum_:function(e,t,n){var r=L5(e,"data","sparseSegmentSum"),a=L5(t,"indices","sparseSegmentSum","int32"),i=L5(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(h3,o)}});var Nre=B5({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=L5(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: ".concat(u.shape));var c=L5(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var l={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},h={data:u,dataSplits:c},p=E5.runKernel(g3,h,l);return{nGrams:p[0],nGramsSplits:p[1]}}});var Sre=B5({stringSplit_:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"input","stringSplit","string"),a=L5(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape ".concat(r.shape));if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape ".concat(a.shape));var i={skipEmpty:n},o={input:r,delimiter:a},s=E5.runKernel(y3,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var Tre=B5({stringToHashBucketFast_:function(e,t){var n=L5(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return E5.runKernel(b3,a,r)}});var Ere=B5({staticRegexReplace_:function(e,t,n){var r=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],a=L5(e,"input","staticRegexReplace","string"),i={pattern:t,rewrite:n,replaceGlobal:r};return E5.runKernel(v3,{x:a},i)}}),Cre={fft:Ite,ifft:Nte,rfft:Ete,irfft:Ste},Are={hammingWindow:Sne,hannWindow:Tne,frame:Ene,stft:Cne},Rre={flipLeftRight:Rne,grayscaleToRGB:_ne,resizeNearestNeighbor:ere,resizeBilinear:$ne,rgbToGrayscale:One,rotateWithOffset:Fne,cropAndResize:Ane,nonMaxSuppression:Mne,nonMaxSuppressionAsync:qne,nonMaxSuppressionWithScore:Kne,nonMaxSuppressionWithScoreAsync:Yne,nonMaxSuppressionPadded:Jne,nonMaxSuppressionPaddedAsync:Qne,threshold:nre,transform:rre},_re={bandPart:are,gramSchmidt:ire,qr:ure},Ore={absoluteDifference:lre,computeWeightedLoss:cre,cosineDistance:hre,hingeLoss:pre,huberLoss:fre,logLoss:dre,meanSquaredError:vre,sigmoidCrossEntropy:gre,softmaxCrossEntropy:bre},Fre={sparseFillEmptyRows:xre,sparseReshape:kre,sparseSegmentMean:wre,sparseSegmentSum:Ire},Dre={stringNGrams:Nre,stringSplit:Sre,stringToHashBucketFast:Tre,staticRegexReplace:Ere},Mre=new Map,Lre=new Map,zre=function(){function e(){l(this,e)}return p(e,[{key:"getClassName",value:function(){return this.constructor.className}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),e}(),Pre=function(){function e(){l(this,e),this.classNameMap={}}return p(e,null,[{key:"getMap",value:function(){return null==e.instance&&(e.instance=new e),e.instance}},{key:"register",value:function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]}}]),e}();function Bre(e,t,n){F$(null!=e.className,(function(){return"Class being registered does not have the static className property defined."})),F$("string"==typeof e.className,(function(){return"className is required to be a string, but got type "+s(e.className)})),F$(e.className.length>0,(function(){return"Class being registered has an empty-string as its className, which is disallowed."})),void 0===t&&(t="Custom"),void 0===n&&(n=e.className);var r=t+">"+n;return Pre.register(e),Mre.set(r,e),Lre.set(e,r),e}var Wre={__proto__:null,Serializable:zre,SerializationMap:Pre,getRegisteredName:function(e){return Lre.has(e)?Lre.get(e):e.className},registerClass:Bre},Vre=function(e){d(s,e);var t,n,r,a,i=w(s);function s(){return l(this,s),i.apply(this,arguments)}return p(s,[{key:"minimize",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2?arguments[2]:void 0,r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return t8(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return N9(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&t8(this.iterations_)}},{key:"saveIterations",value:(a=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return 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F7(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:"".concat(n,"/accum_var"),variable:e8((function(){return F7(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;e8((function(){var e=o8(c8(o,t.rho),c8($7(i),1-t.rho)),n=c8(u8(Q7(o8(s,t.epsilon)),Q7(o8(o,t.epsilon))),i),r=o8(c8(s,t.rho),c8($7(n),1-t.rho));o.assign(e),s.assign(r);var u=o8(c8(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedUpdates&&(t8(this.accumulatedGrads.map((function(e){return e.variable}))),t8(this.accumulatedUpdates.map((function(e){return e.variable}))))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedGrads),T(this.accumulatedUpdates)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=t.length/2,this.accumulatedGrads=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedUpdates=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 7:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adadelta"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}]),a}(Vre),Gre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return l(this,a),(t=r.call(this)).learningRate=e,t.initialAccumulatorValue=n,t.accumulatedGrads=[],t}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=E5.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:e8((function(){return i7(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;e8((function(){var e=o8(o,$7(i));o.assign(e);var n=o8(c8(u8(i,Q7(o8(e,E5.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&t8(this.accumulatedGrads.map((function(e){return 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t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}}],[{key:"className",get:function(){return"Adagrad"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}]),a}(Vre),jre=function(e){d(a,e);var t,n,r=w(a);function a(e,t,n){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],e8((function(){i.accBeta1=Z7(t).variable(),i.accBeta2=Z7(n).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=R9(1,t.accBeta2);n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:e8((function(){return F7(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:e8((function(){return F7(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedSecondMoment[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=o8(c8(c,t.beta2),c8($7(s),1-t.beta2)),p=u8(l,r),f=u8(h,a);u.assign(l),c.assign(h);var d=o8(c8(u8(p,o8(Q7(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(c8(t.accBeta1,t.beta1)),t.accBeta2.assign(c8(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&t8(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedFirstMoment),T(this.accumulatedSecondMoment)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,e8((function(){r.accBeta1.assign(J7(r.beta1,r.iterations_+1)),r.accBeta2.assign(J7(r.beta2,r.iterations_+1))})),n=t.length/2,this.accumulatedFirstMoment=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedSecondMoment=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 8:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adam"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}]),a}(Vre),Hre=function(e){d(a,e);var t,n,r=w(a);function a(e,t,n){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.decay=s,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],e8((function(){i.iteration=Z7(0).variable(),i.accBeta1=Z7(t).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=u8(-t.learningRate,o8(c8(t.iteration,t.decay),1));n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:F7(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:F7(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedWeightedInfNorm[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=c8(c,t.beta2),p=l8(s),f=G9(h,p);u.assign(l),c.assign(f);var d=o8(c8(u8(a,r),u8(l,o8(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(o8(t.iteration,1)),t.accBeta1.assign(c8(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&t8(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}}],[{key:"className",get:function(){return"Adamax"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}]),a}(Vre),qre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t;return l(this,a),(t=r.call(this)).learningRate=e,t.setLearningRate(e),t}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=E5.registeredVariables[n];e8((function(){var e=o8(c8(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()}},{key:"setLearningRate",value:function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=n8(Z7(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0]);case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate}}}],[{key:"className",get:function(){return"SGD"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate)}}]),a}(Vre),Kre=function(e){d(a,e);var t,n,r=w(a);function a(e,t){var n,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return l(this,a),(n=r.call(this,e)).learningRate=e,n.momentum=t,n.useNesterov=i,n.accumulations=[],n.m=Z7(n.momentum),n}return p(a,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=E5.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:e8((function(){return F7(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&e8((function(){var e,n=o8(c8(t.m,i),o);e=t.useNesterov?o8(c8(t.c,o8(o,c8(n,t.m))),a):o8(c8(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&t8(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;e8((function(){var e=o8(c8(s,t.decay),c8($7(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=o8(c8(n,t.decay),c8(o,1-t.decay)),c=u8(c8(o,t.learningRate),Q7(R9(e,o8($7(i),t.epsilon)))),l=o8(c8(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=R9(a,l);a.assign(h)}else{var p=o8(c8(s,t.decay),c8($7(o),1-t.decay)),f=o8(c8(u,t.momentum),u8(c8(o,t.learningRate),Q7(o8(p,t.epsilon))));s.assign(p),u.assign(f);var d=R9(a,f);a.assign(d)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&t8(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&t8(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&t8(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedMeanSquares),T(this.accumulatedMoments)),this.centered&&t.push.apply(t,T(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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BrowserFiles supports loading ")+"Keras-style tf.Model artifacts only.")},r.readAsText(t.jsonFile)})));case 1:case"end":return e.stop()}}),e)}))),function(){return t.apply(this,arguments)})},{key:"loadWeights",value:function(e){var t,n=this,r=[],a=[],i=O(e);try{for(i.s();!(t=i.n()).done;){var o=t.value;r.push.apply(r,T(o.weights)),a.push.apply(a,T(o.paths))}}catch(e){i.e(e)}finally{i.f()}var s=this.checkManifestAndWeightFiles(e),u=a.map((function(e){return n.loadWeightsFile(e,s[e])}));return Promise.all(u).then((function(e){return[r,e]}))}},{key:"loadWeightsFile",value:function(e,t){return new Promise((function(n,r){var a=new FileReader;a.onload=function(e){var t=e.target.result;n(t)},a.onerror=function(t){return r("Failed to weights data from file of path '".concat(e,"'."))},a.readAsArrayBuffer(t)}))}},{key:"checkManifestAndWeightFiles",value:function(e){var t,n=this,r=[],a=this.weightsFiles.map((function(e){return 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new bse("The axis is not within the rank of the tensor "+"".concat(r))}case 4:switch(r){case 1:return mue(e,t,n);case 2:return kte(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return kte(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return gue(e,t,n);default:throw new bse("The axis is not within the rank of the tensor "+"".concat(r))}default:throw new bse("sliceAlongLastAxis() received an unsupported tensor rank: "+"".concat(e.rank))}}))}function bue(e){var t,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1;return n<0&&(n=0!==(t=e[0].rank)?t:0),n===e[0].rank&&(n=-1),G8(e,n)}function xue(e,t){switch(e.rank){case 1:return s7([e,t]);case 2:return u7([e,t],0);case 3:return c7([e,t],0);case 4:return l7([e,t],0);default:throw new bse("concatAlongFirstAxis() received an unsupported "+"tensor rank: ".concat(e.rank))}}function kue(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new bse("The length of input n (".concat(t.length,") does not match 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o=t.shape.slice(),s=o.pop(),u=o.pop(),c=[].concat(T(o),[s]),l=Array.from({length:t.rank},(function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=W8(rne(t,l),[u,-1]);var h=[].concat(T(a),T(c));return W8(Ine({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?Tue(e.rank,r,"channelsLast"):null,activation:n}),h)}function Nue(e,t,n){return e8((function(){return t=Array.isArray(t)?Dte(t,"int32"):X6(t,"int32"),l9(e,t,n)}))}function Sue(e){return c8(e,e)}function Tue(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new bse("Unexpected bias dimensions: ".concat(t.rank)+"; expected it to be 1 or ".concat(e));if(5===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1,1,1]):W8(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,1,1,r[0]]):W8(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1,1]):W8(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,1,r[0]]):W8(t,[1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1]):W8(t,[1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,r[0]]):W8(t,[1].concat(r))}else if(e<3)return t;throw new bse("Unsupported input rank by biasAdd: ".concat(t.rank))}function Eue(e,t,n){return e8((function(){return null==n&&(n="channelsLast"),Qse(n),o8(e,Tue(e.rank,t,n))}))}function Cue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1;if(1!==t)throw new xse("Support for alpha values other than 1 (".concat(t,") is not implemented ")+"yet.");return z7(e)}function Aue(e,t,n,r){return e8((function(){return cne(e,t,n,r)}))}function Rue(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return n?e():t()}var _ue=["fanIn","fanOut","fanAvg"],Oue=["normal","uniform","truncatedNormal"];var Fue=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"fromConfigUsesCustomObjects",value:function(){return!1}},{key:"getConfig",value:function(){return{}}}]),n}(zre),Due=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return H9(e,t)}}]),n}(Fue);Due.className="Zeros",Bre(Due);var Mue=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return q9(e,t)}}]),n}(Fue);Mue.className="Ones",Bre(Mue);var Lue=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this),"object"!==s(e))throw new bse("Expected argument of type ConstantConfig but got ".concat(e));if(void 0===e.value)throw new bse("config must have value set but got ".concat(e));return r.value=e.value,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){return c8(Z7(n.value),q9(e,t))}))}},{key:"getConfig",value:function(){return{value:this.value}}}]),n}(Fue);Lue.className="Constant",Bre(Lue);var zue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MINVAL=-.05,r.DEFAULT_MAXVAL=.05,r.minval=e.minval||r.DEFAULT_MINVAL,r.maxval=e.maxval||r.DEFAULT_MAXVAL,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){return Zee(e,this.minval,this.maxval,t,this.seed)}},{key:"getConfig",value:function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}]),n}(Fue);zue.className="RandomUniform",Bre(zue);var Pue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new xse("randomNormal does not support dType ".concat(t,"."));return wue(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(Fue);Pue.className="RandomNormal",Bre(Pue);var Bue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new xse("truncatedNormal does not support dType ".concat(t,"."));return qte(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(Fue);Bue.className="TruncatedNormal",Bre(Bue);var Wue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).gain=null!=e.gain?e.gain:1,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){if(2!==e.length||e[0]!==e[1])throw new bse("Identity matrix initializer can only be used for 2D square matrices.");return c8(n.gain,u9(e[0]))}))}},{key:"getConfig",value:function(){return{gain:this.gain}}}]),n}(Fue);Wue.className="Identity",Bre(Wue);var Vue=function(e){d(n,e);var t=w(n);function n(e){var r,a;if(l(this,n),r=t.call(this),e.scale<0)throw new bse("scale must be a positive float. Got: ".concat(e.scale));return r.scale=null==e.scale?1:e.scale,r.mode=null==e.mode?"fanIn":e.mode,a=r.mode,zse(_ue,"FanMode",a),r.distribution=null==e.distribution?"normal":e.distribution,function(e){zse(Oue,"Distribution",e)}(r.distribution),r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=function(e){var t,n,r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"channelsLast";if(Qse(r),2===e.length)t=e[0],n=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===r){var a=uue(e,2);t=e[1]*a,n=e[0]*a}else if("channelsLast"===r){var i=uue(e,0,e.length-2);t=e[e.length-2]*i,n=e[e.length-1]*i}}else{var o=uue(e);t=Math.sqrt(o),n=Math.sqrt(o)}return[t,n]}(e),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new xse("".concat(this.getClassName()," does not support dType ").concat(t,"."));return qte(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return Zee(e,-s,s,t,this.seed)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(Fue);Vue.className="VarianceScaling",Bre(Vue);var Uue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Uue.className="GlorotUniform",Bre(Uue);var Gue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Gue.className="GlorotNormal",Bre(Gue);var jue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);jue.className="HeNormal",Bre(jue);var Hue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Hue.className="HeUniform",Bre(Hue);var que=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);que.className="LeCunNormal",Bre(que);var Kue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Vue.className}}]),n}(Vue);Kue.className="LeCunUniform",Bre(Kue);var Xue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.ELEMENTS_WARN_SLOW=2e3,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){if(e.length<2)throw new xse("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=L$(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than ".concat(n.ELEMENTS_WARN_SLOW," (").concat(i,") elements: ")+"Slowness may result.");var o=wue([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=_re.qr(o,!1),u=s[0],c=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=c8(u,c.sign()),r<a&&(u=u.transpose()),c8(Z7(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(Fue);Xue.className="Orthogonal",Bre(Xue);var Yue={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Jue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Fse(e,Pre.getMap().classNameMap,t,"initializer")}function Zue(e){return _se(e)}function Que(e){if("string"==typeof e){var t=e in Yue?Yue[e]:e;if("GlorotNormal"===t)return new Gue;if("GlorotUniform"===t)return new Uue;if("HeNormal"===t)return new jue;if("HeUniform"===t)return new Hue;if("LeCunNormal"===t)return new que;if("LeCunUniform"===t)return new Kue;var n={};return n.className=t,n.config={},Jue(n)}return e instanceof Fue?e:Jue(e)}function $ue(e){return Array.isArray(e)&&Array.isArray(e[0])}function ece(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function tce(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new bse("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function nce(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new bse("Expected exactly 1 Shape; got ".concat(e.length))}return e}function rce(e){var t,n=0,r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(e){r.e(e)}finally{r.f()}return n}var ace="Variable",ice=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:ace,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;l(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Gse(),r=null==r?ace:r,this.originalName=rue(r),this.name=aue(this.originalName),this.trainable_=a,this.constraint=i,this.val=Zte(t,this.trainable_,this.name,this.dtype)}return p(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function oce(e){return e.map((function(e){return e.read()}))}function sce(e){e.forEach((function(e){e[0].write(e[1])}))}var uce=p((function e(t){l(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}})),cce=p((function e(t,n,r,a,i,o,s){l(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=Gse(),null!=o&&(this.originalName=rue(o),this.name=aue(this.originalName)),this.rank=n.length})),lce=0,hce=function(){function e(t,n){l(this,e),this.callArgs=n,this.id=lce++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=O(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(e){a.e(e)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return p(e,[{key:"getConfig",value:function(){var e,t=[],n=O(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(e){n.e(e)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),pce=0,fce=function(e){d(n,e);var t=w(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=pce++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var i=e.getClassName();a=Cse(i)+"_"+Hse(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return p(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new yse("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new bse("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return Tse(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return Tse(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new gse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new gse("Layer ".concat(this.name)+" is not connected, no input to return.");return Tse(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new gse("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new gse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Tse(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){var t=Ese(e);if(null!=this.inputSpec&&0!==this.inputSpec.length){var n=Ese(this.inputSpec);if(t.length!==n.length)throw new bse("Layer ".concat(this.name," expects ").concat(n.length," inputs, ")+"but it received ".concat(t.length," input tensors. ")+"Input received: ".concat(e));for(var r=0;r<t.length;r++){var a=t[r],i=n[r];if(null!=i){var o=a.rank;if(null!=i.ndim&&o!==i.ndim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(i.ndim,", found ndim=").concat(o));if(null!=i.maxNDim&&o>i.maxNDim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected max_ndim=".concat(i.maxNDim,", found ndim=").concat(o));if(null!=i.minNDim&&o<i.minNDim)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected min_ndim=".concat(i.minNDim,", found ndim=").concat(o,"."));if(null!=i.dtype&&a.dtype!==i.dtype)throw new bse("Input ".concat(r," is incompatible with layer ").concat(this.name," ")+": expected dtype=".concat(i.dtype,", found dtype=").concat(a.dtype,"."));if(i.axes){var s=a.shape;for(var u in i.axes){var c=Number(u),l=i.axes[u],h=c>=0?s[c]:s[s.length+c];if(null!=l&&-1===[l,null].indexOf(h))throw new bse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(c," of input shape to ")+"have value ".concat(l," but got shape ").concat(s,"."))}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var f=i.shape[p],d=a.shape[p];if(null!=f&&null!=d&&f!==d)throw new bse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected shape=").concat(i.shape,", ")+"found shape=".concat(a.shape,"."))}}}}}},{key:"call",value:function(e,t){return e}},{key:"invokeCallHook",value:function(e,t){null!=this._callHook&&this._callHook(e,t)}},{key:"setCallHook",value:function(e){this._callHook=e}},{key:"clearCallHook",value:function(){this._callHook=null}},{key:"apply",value:function(e,t){var n=this;t=t||{},this.assertNotDisposed();var r=Ese(e),a=function(e){var t,n=!0,r=O(Ese(e));try{for(r.s();!(t=r.n()).done;){if(!(t.value instanceof cce)){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e),i=function(e){var t,n=!0,r=O(Ese(e));try{for(r.s();!(t=r.n()).done;){if(t.value instanceof cce){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e);if(a===i)throw new bse("Arguments to apply() must be all SymbolicTensors or all Tensors");return nue(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var a,o=[],s=O(Ese(e));try{for(s.s();!(a=s.n()).done;){var u=a.value;o.push(u.shape)}}catch(e){s.e(e)}finally{s.f()}n.build(Tse(o)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&i&&(n._refCount=1)}if(n.assertInputCompatibility(e),i){var c=n.call(e,t);n.supportsMasking&&n.setMaskMetadata(e,c);var l,h=[],p=O(Ese(c));try{for(p.s();!(l=p.n()).done;){var f=l.value;-1!==r.indexOf(f)&&(f=f.clone()),h.push(f)}}catch(e){p.e(e)}finally{p.f()}if(c=Tse(h),null!=n.activityRegularizer)throw new xse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,v=function(e){e=Ese(e);var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;n.push(a.shape)}}catch(e){r.e(e)}finally{r.f()}return Tse(n)}(e),m=n.computeOutputShape(v),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?v[0]:v),d=null!=m&&m.length>0&&Array.isArray(m[0])?m.map((function(r,a){return new cce(g,r,n,Ese(e),t,n.name,a)})):new cce(g,m,n,Ese(e),t,n.name),n.addInboundNode(e,d,null,null,v,m,t),n._refCount++,null!=n.activityRegularizer)throw new xse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))}},{key:"warnOnIncompatibleInputShape",value:function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+"".concat(JSON.stringify(e),") does not match that of the ")+"batchInputShape (".concat(JSON.stringify(this.batchInputShape),") ")+"of the layer ".concat(this.name));else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor "+"(".concat(JSON.stringify(e),") does not ")+"match the expectation of layer ".concat(this.name,": ")+"".concat(JSON.stringify(this.batchInputShape)))}}},{key:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new gse("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=O(this.inboundNodes);try{for(n.s();!(e=n.n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}}catch(e){n.e(e)}finally{n.f()}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new gse("The layer ".concat(this.name," has multiple inbound nodes with different ")+'output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}},{key:"countParams",value:function(){if(!this.built)throw new yse("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return rce(this.weights)}},{key:"build",value:function(e){this.built=!0}},{key:"getWeights",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return oce(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;e8((function(){var n=t.weights;if(n.length!==e.length)throw new bse('You called setWeights(weights) on layer "'.concat(t.name,'" ')+"with a weight list of length ".concat(e.length,", ")+"but the layer was expecting ".concat(n.length," weights. ")+"Provided weights: ".concat(e,"..."));if(0!==n.length){for(var r=[],a=oce(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!P$(o.shape,u.shape))throw new bse("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}sce(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new bse("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():Que("zeros"));var u=r.apply(t,n),c=new ice(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(c.read())})),null==i&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}},{key:"setFastWeightInitDuringBuild",value:function(e){this.fastWeightInitDuringBuild=e}},{key:"addLoss",value:function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=Ese(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,T(e)))}},{key:"computeOutputShape",value:function(e){return e}},{key:"computeMask",value:function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer ".concat(this.name," does not support masking, ")+"but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer ".concat(n.name," does not support masking, ")+"but was passed an inputMask.")}))}return null}return t}},{key:"setMaskMetadata",value:function(e,t,n){if(this.supportsMasking){var r=this.computeMask(e,n),a=Ese(t),i=Ese(r);if(a.length!==i.length)throw new Error("".concat(this.name," outputs ").concat(a.length," tensors ")+"but ".concat(a.length," masks for those tensors"));for(var o=0;o<a.length;o++)a[o].kerasMask=i[o]}}},{key:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=Ese(e);t=Ese(t),n=Ese(n),r=Ese(r),a=ece(a),i=ece(i);var u,c=[],l=[],h=[],p=O(s);try{for(p.s();!(u=p.n()).done;){var f=u.value;c.push(f.sourceLayer),l.push(f.nodeIndex),h.push(f.tensorIndex)}}catch(e){p.e(e)}finally{p.f()}new hce({outboundLayer:this,inboundLayers:c,nodeIndices:l,tensorIndices:h,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d}},{key:"getConfig",value:function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e}},{key:"disposeWeights",value:function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length}},{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Layer '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){if(!this.built)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been ")+"built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been used ")+"yet.");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}],[{key:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(zre);function dce(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++){var o,s=O(dce(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));try{for(s.s();!(o=s.n()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}}catch(e){s.e(e)}finally{s.f()}}return a}var vce=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Hse("input").toString()}),null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),r.trainable=!1,r.built=!0,r.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new bse("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var a=e.batchInputShape;if(null==a){if(null==e.inputShape)throw new bse("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new bse("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";r.batchInputShape=a,r.dtype=i,r.inputSpec=[{shape:a}];var o=new cce(r.dtype,r.batchInputShape,x(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new hce({outboundLayer:x(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return p(n,[{key:"apply",value:function(e,t){throw new bse("Cannot pass any input to an "+"InputLayer's apply() method. InputLayer name: ".concat(this.name))}},{key:"dispose",value:function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}},{key:"getConfig",value:function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}]),n}(fce);function mce(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new bse("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new vce({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}vce.className="InputLayer",Bre(vce);var gce=function(){function e(t){if(l(this,e),this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;var r,a=O(t);try{for(a.s();!(r=a.n()).done;){var i=r.value;this.add(i.key,i.value)}}catch(e){a.e(e)}finally{a.f()}}}return p(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new bse("Duplicate key: name=".concat(e.name,", id=").concat(e.id));return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return X6(t,e.dtype)}catch(n){throw new bse("The dtype of the feed (".concat(t.dtype,") can not be cast to the dtype ")+"of the key '".concat(e.name,"' (").concat(e.dtype,")."))}}(e,t),this.name2Id[e.name]=e.id,null!=n&&(this.id2Mask[e.id]=n),this}},{key:"addFeed",value:function(e){this.add(e.key,e.value)}},{key:"hasKey",value:function(e){return null!=this.id2Value[e.id]}},{key:"names",value:function(){return Object.keys(this.name2Id)}},{key:"getValue",value:function(e){if(e instanceof cce){if(null==this.id2Value[e.id])throw new bse("Nonexistent key: ".concat(e.name));return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new bse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Value[t]}},{key:"getMask",value:function(e){if(e instanceof cce){if(null==this.id2Value[e.id])throw new bse("Nonexistent key: ".concat(e.name));return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new bse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Mask[t]}},{key:"disposeMasks",value:function(){null!=this.id2Mask&&t8(this.id2Mask)}}]),e}(),yce=new wse,bce=new wse;function xce(e,t,n,r){var a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),c=[],l=t.names(),h=O(u);try{for(h.s();!(a=h.n()).done;){var p=a.value;-1!==l.indexOf(p)?c.push(t.getValue(p)):c.push(null)}}catch(e){h.e(e)}finally{h.f()}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d=u.join(",")+"|"+t.names().sort().join(","),v=yce.get(d);if(null==v){var m=function(e,t){F$(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=wce(e[0],t);n=a.sorted,r=a.recipientMap}else{var i,o=new Set,s=O(e);try{for(s.s();!(i=s.n()).done;){var u,c=wce(i.value,t),l=c.sorted,h=c.recipientMap,p=O(l);try{for(p.s();!(u=p.n()).done;){var f=u.value;o.has(f.name)||(n.push(f),o.add(f.name))}}catch(e){p.e(e)}finally{p.f()}var d=function(e){null==r[e]&&(r[e]=new Set),h[e].forEach((function(t){return r[e].add(t)}))};for(var v in h)d(v)}}catch(e){s.e(e)}finally{s.f()}}return{sorted:n,recipientCounts:kce(r)}}(s,t);v=m.sorted,f=m.recipientCounts,yce.put(d,v),bce.put(d,f)}f={},i||Object.assign(f,bce.get(d));for(var g=new gce(t),y=0;y<v.length;++y){if(null!=r){var b=$6().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=v[y],k=x.sourceLayer;if(!(k instanceof vce)){var w,I=[],N=[],S=[],T=!1,E=O(x.inputs);try{for(E.s();!(w=E.n()).done;){var C=w.value,A=g.getValue(C),R=g.getMask(C);I.push(A),N.push(R),null!=R&&(T=!0),i||(f[C.name]--,0!==f[C.name]||t.hasKey(C)||-1!==u.indexOf(C.name)||A.isDisposed||!0===C.sourceLayer.stateful||S.push(A))}}catch(e){E.e(e)}finally{E.f()}T&&((n=n||{}).mask=N[0]);var _=Ese(k.apply(I,n)),F=null;k.supportsMasking&&(F=k.computeMask(I,N));for(var D=Ice(x),M=Array.isArray(D)?D:[D],L=0;L<M.length;++L){g.hasKey(M[L])||g.add(M[L],_[L],Array.isArray(F)?F[0]:F);var z=u.indexOf(M[L].name);-1!==z&&(c[z]=_[L])}i||t8(S)}}return g.disposeMasks(),o?c:c[0]}function kce(e){var t={};for(var n in e)t[n]=e[n].size;return t}function wce(e,t){var n,r=new Set,a=[],i={},o=O(t.names());try{for(o.s();!(n=o.n()).done;){var s=n.value;r.add(s)}}catch(e){o.e(e)}finally{o.f()}var u=[],c=[];for(u.push(e);u.length>0;){var l=u[u.length-1];if(r.has(l.name))u.pop();else{var h=c[c.length-1]===u.length-1;if(0===l.inputs.length||h)u.pop(),a.push(l),r.add(l.name),h&&c.pop();else{c.push(u.length-1);var p,f=O(l.inputs);try{for(f.s();!(p=f.n()).done;){var d=p.value;null==i[d.name]&&(i[d.name]=new Set),i[d.name].add(l.name),r.has(d.name)||u.push(d)}}catch(e){f.e(e)}finally{f.f()}}}}return{sorted:a,recipientMap:i}}function Ice(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r){var 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.layers);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"loadWeights",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n={},r=0,a=_le(e);a&&this.parseWeights(e);var i,o=O(this.layers);try{for(o.s();!(i=o.n()).done;){var s,u=i.value,c=O(u.weights.entries());try{for(c.s();!(s=c.n()).done;){var l=S(s.value,2),h=l[0],p=l[1],f=a?"".concat(p.name.split("/").slice(0,-1).join("/")+"/").concat(h):p.originalName;if(null!=n[f])throw new bse("Duplicate weight name: ".concat(f));n[f]=p,r++}}catch(e){c.e(e)}finally{c.f()}}}catch(e){o.e(e)}finally{o.f()}var d=[];for(var v in e){var m=v;if(null==n[v]){var g=v.split("/"),y=g.slice(0,-2).concat([g[g.length-1]]);m=y.join("/")}if(null!=n[m])d.push([n[m],e[v]]);else if(t)throw new bse("Provided weight data has no target variable: ".concat(v));delete n[m]}if(t){var b=[];for(var x in n)b.push(x);if(b.length>0)throw new bse("".concat(b.length," of ").concat(r," weights are not set: ")+"".concat(b))}sce(d)}},{key:"parseWeights",value:function(e){var t=function(){var t=n.split("/"),r=["vars","layer_checkpoint_dependencies"],a=t.map((function(e){return e.startsWith("_")?e.slice(1):e})).filter((function(e){return!r.includes(e)})).join("/");a!==n&&(e[a]=e[n],delete e[n])};for(var n in Object.keys(e))t()}},{key:"updatedConfig",value:function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers ".concat(Rle),t.backend="TensorFlow.js",t}},{key:"toJSON",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=Ale(this.updatedConfig());return t?JSON.stringify(n):n}},{key:"call",value:function(e,t){var n=this;return e8((function(){e=Ese(e);for(var r=new gce,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return xce(n.outputs,r,t)}))}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){var r;return e=Ese(e),r=null==t?Ise(null,e.length):Ese(t),n.runInternalGraph(e,r)[1]}))}},{key:"computeOutputShape",value:function(e){var t=ece(e);if(t.length!==this.inputLayers.length)throw new bse("Invalid inputShape argument ".concat(e,": ")+"model has ".concat(this.inputLayers.length," tensor inputs."));for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Dse);if(o.length>1){var s,u=O(o);try{for(u.s();!(s=u.n()).done;){var c,l=s.value,h=O(this.nodesByDepth[l]);try{for(h.s();!(c=h.n()).done;){var p=c.value,f=p.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],v=0;v<p.inboundLayers.length;v++){var m=p.inboundLayers[v],g=p.nodeIndices[v],y=p.tensorIndices[v],b=n["".concat(m.name,"_").concat(g,"_").concat(y)];d.push(b)}for(var x=ece(f.computeOutputShape(Tse(d))),k=f.inboundNodes.indexOf(p),w=0;w<x.length;w++){n["".concat(f.name,"_").concat(k,"_").concat(w)]=x[w]}}}}catch(e){h.e(e)}finally{h.f()}}}catch(e){u.e(e)}finally{u.f()}}for(var I=[],N=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],E=this.outputLayersNodeIndices[S],C=this.outputLayersTensorIndices[S],A="".concat(T.name,"_").concat(E,"_").concat(C);N.push(A)}for(var R=0;R<N.length;R++){var _=N[R];Nse(_ in n),I.push(n[_])}return Tse(I)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=Ise(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Dse),c=O(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,p=O(this.nodesByDepth[h]);try{for(p.s();!(l=p.n()).done;){var f,d=l.value,v=d.outboundLayer,m=d.inputTensors,g=d.outputTensors,y=new Array,b=O(m);try{for(b.s();!(f=b.n()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}}catch(e){b.e(e)}finally{b.f()}if(y.length===m.length){var k={},w=void 0,I=void 0,N=void 0,T=void 0;if(null!=d.callArgs&&(k=d.callArgs),1===y.length){var E=S(y[0],2),C=E[0],A=E[1];null==k.mask&&(k.mask=A),N=Ese(v.call(C,k)),T=Ese(v.computeMask(C,A)),w=[C],I=[A]}else w=y.map((function(e){return e[0]})),I=y.map((function(e){return e[1]})),null==k.mask&&(k.mask=I),N=Ese(v.call(w,k)),T=Ese(v.computeMask(w,I));if(v.activityRegularizer)throw new xse("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var R=0;R<g.length;++R){var _=g[R],F=N[R],D=T[R];n[_.id]=[F,D]}}}}catch(e){p.e(e)}finally{p.f()}}}catch(e){c.e(e)}finally{c.f()}var M,L=[],z=[],P=[],B=O(this.outputs);try{for(B.s();!(M=B.n()).done;){var W=M.value;Nse(W.id in n,"Could not compute output ".concat(W.name," : ").concat(W.id));var V=S(n[W.id],2),U=V[0],G=V[1];P.push(U.shape),L.push(U),z.push(G)}}catch(e){B.e(e)}finally{B.f()}return[L,z,P]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=O(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(e){i.e(e)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t)return this.findLayer(t);if(null==e)throw new bse("Provide either a layer name or layer index");if("number"==typeof e)return this.findLayer(e);var n,r=O(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(e){r.e(e)}finally{r.f()}throw new bse("No such layer: ".concat(e))}},{key:"findLayer",value:function(e){if(this.layers.length<=e)throw new bse("Was asked to retrieve layer at index ".concat(e,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[e]}},{key:"calculateLosses",value:function(){var e=this;return e8((function(){var t,r=[],a=O(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,T(i.calculateLosses()))}}catch(e){a.e(e)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=O(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],p=n.nodeKey(o,l),f={};if(this.containerNodes.has(p)){if(h.callArgs)try{JSON.stringify(h.callArgs),f=h.callArgs}catch(e){console.warn("Layer ".concat(o.name," was passed ")+"non-serializable keyword arguments: "+"".concat(h.callArgs,". 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The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(e){t.e(e)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;e8((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=O(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var p=r[c];if(p.inboundNodes.length<=l)return void i(e,t);var f=p.inboundNodes[l];o.push(f.outputTensors[h])}}catch(e){s.e(e)}finally{s.f()}o.length>0&&e.apply(Tse(o),n)}function s(e){var a=e.name,o=Xce(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new bse("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=O(l);try{for(h.s();!(u=h.n()).done;){var p=u.value;s(p)}}catch(e){h.e(e)}finally{h.f()}for(;!Lse(a);){var f,d=O(l);try{for(d.s();!(f=d.n()).done;){var v=f.value,m=r[v.name];if(m.name in a){var g=a[m.name];delete a[m.name];var y,b=O(g);try{for(b.s();!(y=b.n()).done;){var x=y.value;o(m,x)}}catch(e){b.e(e)}finally{b.f()}}}}catch(e){d.e(e)}finally{d.f()}}var k,w=[],I=[],N=t.inputLayers,S=O(N);try{for(S.s();!(k=S.n()).done;){var T=k.value,E=T[0],C=T[1],A=T[2];Nse(E in r);var R=r[E],_=R.inboundNodes[C].outputTensors;w.push(_[A])}}catch(e){S.e(e)}finally{S.f()}var F,D=t.outputLayers,M=O(D);try{for(M.s();!(F=M.n()).done;){var L=F.value,z=L[0],P=L[1],B=L[2];Nse(z in r);var W=r[z],V=W.inboundNodes[P].outputTensors;I.push(V[B])}}catch(e){M.e(e)}finally{M.f()}return new e({inputs:w,outputs:I,name:c})}}]),n}(fce);function Fle(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===s(e)&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element(s), but the model has ".concat(r," outputs. ")+"Make sure a set of weights is provided for each model output.");return e}if("object"===s(e)&&Object.keys(e).length>0&&"object"===s(e[Object.keys(e)[0]])){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple (".concat(r,") outputs, ")+"so ".concat(n," must be either an array with ")+"".concat(r," elements or an object with ").concat(t," keys. ")+"Provided ".concat(n," not understood: ").concat(JSON.stringify(e)))}function Dle(e,t){return Fle(e,t,"classWeight")}function Mle(e,t,n,r){return Lle.apply(this,arguments)}function Lle(){return(Lle=c(o().mark((function e(t,n,r,a){var i,s,u;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=e8((function(){if(1===t.shape.length)return Y6(t);if(2===t.shape.length){if(t.shape[1]>1){return m8(t,1)}if(1===t.shape[1])return W8(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size (".concat(t.shape[1],") ")+"during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor (".concat(t.rank,") during ")+"handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,s=e.t0.from.call(e.t0,e.t1),t8(i),u=[],s.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. "+"The class ".concat(e," exists in the data but not in ")+"classWeight");u.push(r[e])})),e.abrupt("return",Dte(u,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function zle(e,t){return c8(e,t)}function Ple(e,t){var n,r,a=t;n=a.xs,r=a.ys,F$(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+"".concat(t)}));var i=Ble("input",e.inputNames,n),o=Ble("output",e.outputNames,r),s=i[0].shape[0];F$(i.length===e.inputs.length,(function(){return"LayersModel has ".concat(e.inputs.length," inputs, but the dataset ")+"provides ".concat(i.length," inputs.  (Expected input keys: ")+"".concat(JSON.stringify(e.inputNames),")")})),F$(o.length===e.outputs.length,(function(){return"LayersModel has ".concat(e.outputs.length," outputs, but the dataset ")+"provides ".concat(o.length," outputs.  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Use LayersModel.compile(modelCompileConfig)."})),F$(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),F$(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive "+"integer, but got ".concat(r.epochs)})),F$(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+"positive integer if specified, but got ".concat(r.batchesPerEpoch)})),F$(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(jle(r.validationData)?F$(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+"but got ".concat(r.validationBatches)})):(c=Wle(r.validationData),s=c.xs,u=c.ys)),l=t.makeTrainFunction(),h=t.getDedupedMetricsNames(),p=i?h.slice().concat(h.map((function(e){return"val_"+e}))):h.slice(),f=Hce(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,v=Kce(f,d,r.epochs,null,null,Gle(n,r),null,i,p),m=v.callbackList,g=v.history,m.setModel(t),t.history=g,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,y=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:b=e.sent;case 27:if(!(y<r.epochs)){e.next=98;break}return x={},e.next=31,m.onEpochBegin(y);case 31:if(k=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:b=e.sent;case 37:if(a&&!(k<r.batchesPerEpoch)){e.next=91;break}return e.next=40,b.next();case 40:if(I=e.sent,!a||!I.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(k," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==I.value){e.next=73;break}return N=Ple(t,I.value),S=N.xs,T=N.ys,(E={}).batch=w,E.size=S[0].shape[0],e.next=51,m.onBatchBegin(w,E);case 51:if(C=[],null==r.classWeight){e.next=64;break}A=Dle(r.classWeight,t.outputNames),R=0;case 55:if(!(R<A.length)){e.next=64;break}return e.t0=C,e.next=59,Mle(T[R],null,A[R]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++R,e.next=55;break;case 64:for(_=S.concat(T).concat(C),O=l(_),t8(_),F=0;F<h.length;++F)D=h[F],M=O[F],E[D]=M,n8(M);return e.next=70,m.onBatchEnd(w,E);case 70:Bce(E),w++,k++;case 73:if(!(a?k>=r.batchesPerEpoch:I.done)){e.next=87;break}if(!i){e.next=86;break}if(L=void 0,!jle(r.validationData)){e.next=84;break}return e.t2=Ese,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,L=(0,e.t2)(e.t3),e.next=85;break;case 84:L=Ese(t.evaluate(s,u,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(z=0;z<t.metricsNames.length;++z)x["val_".concat(t.metricsNames[z])]=L[z];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(y,x);case 93:if(y++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),Ule.apply(this,arguments)}function Gle(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function jle(e){return"function"==typeof e.iterator}function Hle(e){return"function"==typeof e.next}function qle(e,t,n){return Kle.apply(this,arguments)}function Kle(){return Kle=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,s=[],!(r.verbose>0)){e.next=6;break}throw new xse("Verbose mode is not implemented yet.");case 6:if(F$(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),!Hle(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:u=e.t0,c=0,l=0,h=o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,u.next();case 2:if(n=e.sent,s=e8((function(){if(n.value){var e=Ple(t,n.value),r=e.xs,a=e.ys,o=r.concat(a),u=e8((function(){return i(o)}));if(t8(o),0===l)for(var h=0;h<u.length;++h)s.push(Z7(0));for(var p=o[0].shape[0],f=function(e){var t=u[e],n=s[e];s[e]=e8((function(){return o8(s[e],c8(p,t))})),l>0&&t8(n)},d=0;d<u.length;++d)f(d);t8(u),c+=p,++l}return s})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(r.batches," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("return","break");case 7:case"end":return e.stop()}}),e)}));case 18:if(a&&!(l<r.batches)){e.next=25;break}return e.delegateYield(h(),"t1",20);case 20:if("break"!==e.t1){e.next=23;break}return e.abrupt("break",25);case 23:e.next=18;break;case 25:for(p=0;p<s.length;++p)f=s[p],s[p]=u8(s[p],c),t8(f);return e.abrupt("return",Tse(s));case 27:case"end":return e.stop()}}),e)}))),Kle.apply(this,arguments)}function Xle(e){F$(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got ".concat(e)}))}function Yle(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return mue(e,t,n-t)})):mue(e,t,n-t)}function Jle(e,t){return e8((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return Jle(e,t)})):Nue(e,"int32"===t.dtype?t:X6(t,"int32"))}))}function Zle(e,t){for(var n=[],r=0,a=null;r<e;)(a=r+t)>=e&&(a=e),n.push([r,a]),r=a;return n}function Qle(e){var t=[];e instanceof n5&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(due(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function $le(e,t){if(null!=e){var n=[];if(t instanceof n5)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof n5)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function ehe(e){return Array.isArray(e)}function the(e){return!function(e){return e instanceof n5}(e)&&!ehe(e)}function nhe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(null==t||0===t.length){if(null!=e){var o=!1;if(ehe(e)&&e.length>0)o=!0;else if(the(e)){for(var s in e)if(e.hasOwnProperty(s)){o=!0;break}}else o=!0;if(o)throw new bse("Error when checking model ".concat(i," expected no data, ")+"but got ".concat(e))}return[]}if(null==e)return t.map((function(e){return null}));if(the(e)){r=[];var u,c=O(t);try{for(c.s();!(u=c.n()).done;){var l=u.value;if(null==e[l])throw new bse('No data provided for "'.concat(l,'". Need data for each key in: ')+"".concat(t));r.push(e[l])}}catch(e){c.e(e)}finally{c.f()}}else if(ehe(e)){if(e.length!==t.length)throw new bse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"model expected. Expected to see ".concat(t.length," Tensor(s), but ")+"instead got the following list of Tensor(s): ".concat(e));r=e}else{if(t.length>1)throw new bse("The model ".concat(i," expects ").concat(t.length," Tensor(s), ")+"but only received one Tensor. Found: Tensor with shape ".concat(e.shape));r=[e]}if(r=Qle(r),null!=n)for(var h=0;h<t.length;++h)if(null!=n[h]){var p=r[h];if(p.shape.length!==n[h].length)throw new bse("Error when checking ".concat(i,": expected ").concat(t[h]," ")+"to have ".concat(n[h].length," dimension(s). but got array with ")+"shape ".concat(p.shape));for(var f=0;f<n[h].length;++f)if(0!==f||a){var d=p.shape[f],v=n[h][f];if(null!=v&&v>=0&&d!==v)throw new bse("".concat(i," expected a batch of elements where each ")+"example has shape [".concat(n[h].slice(1,n[h].length),"] ")+"(i.e.,tensor shape [*,".concat(n[h].slice(1,n[h].length),"])")+" but the ".concat(i," received an input with ").concat(p.shape[0])+" examples, each with shape [".concat(p.shape.slice(1,p.shape.length),"]")+" (tensor shape [".concat(p.shape,"])"))}}return r}function rhe(e,t,n){var r=Mse(e.map((function(e){return e.shape[0]})));r.sort();var a=Mse(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new bse("All input Tensors (x) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(e.map((function(e){return e.shape})))));if(a.length>1)throw new bse("All target Tensors (y) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(t.map((function(e){return e.shape})))));if(r.length>0&&a.length>0&&!P$(r,a))throw new bse("Input Tensors should have the same number of samples as target "+"Tensors. Found ".concat(r[0]," input sample(s) and ").concat(a[0]," target ")+"sample(s).")}function ahe(e,t,n){for(var r=[Jce,nle,ele],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===ele&&1===i.shape[i.shape.length-1])throw new bse("You are passing a target array of shape ".concat(i.shape," while using ")+"a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],p=c[l];if(null!=p&&h!==p)throw new bse("A target Tensor with shape ".concat(i.shape," was passed for an ")+"output of shape ".concat(s,", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}}function ihe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(Array.isArray(e)){if(e.length!==t.length)throw new bse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"the model expected. Expected to see ".concat(t.length," Tensor(s),")+" but instead got ".concat(e.length," Tensors(s)."));r=e}else{if(t.length>1)throw new bse("The model expects ".concat(t.length," ").concat(i," Tensors, ")+"but only received one Tensor. Found: array with shape "+"".concat(JSON.stringify(e.shape),"."));r=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=r[o];if(s.shape.length!==n[o].length)throw new bse("Error when checking ".concat(i,": expected ").concat(t[o]," ")+"to have ".concat(n[o].length," dimension(s), but got array with ")+"shape ".concat(JSON.stringify(s.shape)));for(var u=0;u<n[o].length;++u)if(0!==u||a){var c=s.shape[u],l=n[o][u];if(null!=l&&l!==c)throw new bse("Error when checking ".concat(i,": expected ")+"".concat(t[o]," to have shape ").concat(JSON.stringify(n[o])," but ")+"got array with shape ".concat(JSON.stringify(s.shape),"."))}}}var ohe=function(e){d(m,e);var t,n,r,a,i,u,h,f=w(m);function m(e){var t;return l(this,m),(t=f.call(this,e)).isTraining=!1,t}return p(m,[{key:"summary",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:console.log;if(!this.built)throw new bse("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");kle(this,e,t,n)}},{key:"compile",value:function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,"string"==typeof e.optimizer)this.optimizer_=function(e){var t={Adagrad:function(){return Kae.adagrad(.01)},Adadelta:function(){return Kae.adadelta(1,.95,pue())},Adam:function(){return Kae.adam(.001,.9,.999,pue())},Adamax:function(){return Kae.adamax(.002,.9,.999,pue(),0)},RMSProp:function(){return Kae.rmsprop(.001,.9,0,pue())},SGD:function(){return Kae.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new bse("Unknown Optimizer ".concat(e))}(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Vre))throw new bse("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(e.loss)||"string"==typeof e.loss||"function"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new bse("When passing an Array as loss, it should have one entry per "+"model output. The model has ".concat(this.outputs.length," output(s), ")+"but you passed loss=".concat(e.loss,"."));var r=e.loss;n=r.map((function(e){return ole(e)}))}else{var a=ole(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new bse('Unknown entry in loss dictionary: "'.concat(i,'". ')+"Only expected the following keys: ".concat(this.outputNames));var o,u=O(this.outputNames);try{for(u.s();!(o=u.n()).done;){var c=o.value;null==e.loss[c]&&console.warn('Output "'.concat(c,'" is missing from loss dictionary. We assume ')+"this was done on purpose, and we will not be expecting data "+"to be passed to ".concat(c," during training")),n.push(ole(e.loss[c]))}}catch(e){u.e(e)}finally{u.f()}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var h=this.internalOutputShapes[l],p=this.outputNames[l];this.feedOutputNames.push(p),this.feedOutputShapes.push(h),this.feedLossFns.push(this.lossFunctions[l])}var f=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],nue("loss",(function(){for(var e=0;e<t.outputs.length;++e)if(-1===f.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}}));var d=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return[]}));var n;if("string"==typeof e||"function"==typeof e)n=[e];else{if(!Array.isArray(e)&&"object"!==s(e))throw new TypeError("Type of metrics argument not understood. 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h=e.lossFunctions[l],p=j9(h(i[l],c[l]));n=0===l?p:o8(n,p),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],v=e.metricsTensors[f][1],m=j9(d(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:(i=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=R.length>2&&void 0!==R[2]?R[2]:{},!this.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return this.isTraining=!0,e.prev=4,Xle(d=null==r.batchSize?32:r.batchSize),v=!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,v,d);case 10:if(m=e.sent,a=m[0],i=m[1],f=m[2],g=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(g=!0,2!==r.validationData.length){e.next=22;break}c=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new xse("validationData including sample weights is not supported yet.");case 26:throw new bse("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+"".concat(r.validationData," is invalid."));case 27:return b=!0,e.next=30,this.standardizeUserData(c,l,null,null,b,d);case 30:x=e.sent,h=x[0],p=x[1],y=h.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(g=!0,k=Math.floor(a[0].shape[0]*(1-r.validationSplit)),w=a[0].shape[0],h=Yle(a,k,w),s=a,a=Yle(a,0,k),p=Yle(i,k,w),u=i,i=Yle(i,0,k),y=h.concat(p)):null!=r.validationSteps&&(g=!0);case 37:return I=a.concat(i).concat(f),this.checkTrainableWeightsConsistency(),N=this.makeTrainFunction(),S=this.getDedupedMetricsNames(),g?(this.makeTestFunction(),T=this.testFunction,E=S.slice().concat(S.map((function(e){return"val_"+e})))):(T=null,y=[],E=S.slice()),C=Hce(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(N,I,S,d,r.epochs,r.verbose,C,T,y,r.shuffle,E,r.initialEpoch,null,null);case 45:return A=e.sent,e.abrupt("return",A);case 47:return e.prev=47,this.isTraining=!1,$le(a,t),$le(i,n),$le(s,t),$le(u,n),$le(h,c),$le(p,l),null!=f&&t8(f),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])}))),function(e,t){return i.apply(this,arguments)})},{key:"fitLoop",value:(a=c(o().mark((function e(t,n,r,a,i,s,u,c,l,h,p,f,d,v){var m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==h&&(h=!0),null==f&&(f=0),m=!1,null!=c&&null!=l&&(m=!0),null==v){e.next=10;break}if(m=!0,null!=d){e.next=10;break}throw new bse("Can 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e.stop()}}),e,this)}))),function(e,t,n,r,i,o,s,u,c,l,h,p,f,d){return a.apply(this,arguments)})},{key:"fitDataset",value:(r=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",Vle(this,t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"trainOnBatch",value:(n=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],s=this.makeTrainFunction(),u=s(a.concat(i)),c=[],l=O(u),e.prev=9,l.s();case 11:if((h=l.n()).done){e.next=19;break}return p=h.value,e.next=15,p.data();case 15:f=e.sent,c.push(f[0]);case 17:e.next=11;break;case 19:e.next=24;break;case 21:e.prev=21,e.t0=e.catch(9),l.e(e.t0);case 24:return e.prev=24,l.f(),e.finish(24);case 27:return t8(u),$le(r[0],t),$le(r[1],n),e.abrupt("return",Tse(c));case 31:case"end":return e.stop()}}),e,this,[[9,21,24,27]])}))),function(e,t){return n.apply(this,arguments)})},{key:"getNamedWeights",value:function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t}},{key:"stopTraining",get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}},{key:"dispose",value:function(){var e=N(v(m.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=$6().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-$6().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"==typeof this.loss)e=Cse(this.loss);else if(Array.isArray(this.loss)){var t,n=O(this.loss);try{for(n.s();!(t=n.n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}}catch(e){n.e(e)}finally{n.f()}e=this.loss.map((function(e){return Cse(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=Cse(a[s])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[Cse(gle(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return Cse(gle(e))}));var e={};for(var t in this.metrics)e[t]=Cse(gle(this.metrics[t]));return 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Fse(e,Pre.getMap().classNameMap,t,"regularizer")}function Bhe(e){return null==e?null:"string"==typeof e?Phe({className:e in Lhe?Lhe[e]:e,config:{}}):e instanceof Dhe?e:Phe(e)}var Whe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return p(n,[{key:"call",value:function(e,t){e=tce(e);var n=nte(e);return null!=this.maxValue&&(n=o7(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Whe.className="ReLU",Bre(Whe);var Vhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=.3,null==e&&(e={}),r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return g9(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Vhe.className="LeakyReLU",Bre(Vhe);var Uhe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=Que(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=Bhe(e.alphaRegularizer),r.alphaConstraint=Fce(e.alphaConstraint),null==e.sharedAxes)r.sharedAxes=null;else if(Array.isArray(e.sharedAxes))r.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new bse("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e)).slice(1);if(null!=this.sharedAxes){var n,r=O(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(e){r.e(e)}finally{r.f()}}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new uce({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=tce(e),hee(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:Zue(this.alphaInitializer),alphaRegularizer:zhe(this.alphaRegularizer),alphaConstraint:_ce(this.alphaConstraint),sharedAxes:this.sharedAxes},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Uhe.className="PReLU",Bre(Uhe);var Ghe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new xse("Non-default alpha value (".concat(e.alpha,") is not supported by the ")+"ELU layer yet.");return r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return z7(n)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Ghe.className="ELU",Bre(Ghe);var jhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_THETA=1,null==e&&(e={}),r.theta=null==e.theta?r.DEFAULT_THETA:e.theta,r}return p(n,[{key:"call",value:function(e,t){var n=tce(e);return c8(n,X6(h9(n,this.theta),"float32"))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={theta:this.theta},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);jhe.className="ThresholdedReLU",Bre(jhe);var Hhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new The).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var r=tce(e),a=t.mask;if(null!=a){var i=c8(R9(q9(r.shape),X6(a,r.dtype)),Z7(-1e9));r=o8(r,i)}return n.axis instanceof Array?n.axis.length>1?a9(R9(r,O9(r,n.axis,!0))):n.softmax(r,n.axis[0]):n.softmax(r,n.axis)}))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);function qhe(e,t,n){if("number"==typeof e)return Ise(e,t);if(e.length!==t)throw new bse("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new bse("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. Received: ".concat(JSON.stringify(e)," including a")+" non-integer number ".concat(a))}return e;var i}function Khe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:1;if(null==e)return e;var i,o=t+(t-1)*(a-1);return i="same"===n?e:e-o+1,Math.floor((i+r-1)/r)}function Xhe(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+lue([n-t,0]);else{if("same"!==r)throw new bse("Unsupport padding mode: ".concat(r,"."));e*=t}return e}function Yhe(e,t){return e8((function(){return Qse(t),"channelsFirst"===t?rne(e,[0,2,3,1]):e}))}function Jhe(e,t){return e8((function(){return Qse(t),"channelsFirst"===t?rne(e,[0,2,3,4,1]):e}))}function Zhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:1;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),3!==e.shape.length)throw new bse("The input of a conv1dWithBias operation should be 3, but is "+"".concat(e.shape.length," instead."));if(3!==t.shape.length)throw new bse("The kernel for a conv1dWithBias operation should be 3, but is "+"".concat(t.shape.length," instead"));if(null!=n&&1!==n.shape.length)throw new bse("The bias for a conv1dWithBias operation should be 1, but is "+"".concat(t.shape.length," instead"));if("channelsFirst"===i&&(e=rne(e,[0,2,1])),"causal"===a)throw new xse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=p7(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=Eue(s,n)),s}))}function Qhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:null;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),3!==e.rank&&4!==e.rank)throw new bse("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new bse("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=Yhe(e,i);if("causal"===a)throw new xse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=bne({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=rne(u,[0,3,1,2])),u}))}function $he(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return e8((function(){if(null==i&&(i="channelsLast"),Qse(i),4!==e.rank&&5!==e.rank)throw new bse("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new bse("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=Jhe(e,i);if("causal"===a)throw new xse("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=v7(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=Eue(s,n)),"channelsFirst"===i&&(s=rne(s,[0,4,1,2,3])),s}))}Hhe.className="Softmax",Bre(Hhe);var epe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,Bse(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new xse("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=qhe(r.kernelSize,e,"kernelSize"),a.strides=qhe(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,$se(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Qse(a.dataFormat),a.activation=Ohe(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Que(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Fce(r.biasConstraint),a.biasRegularizer=Bhe(r.biasRegularizer),a.activityRegularizer=Bhe(r.activityRegularizer),a.dilationRate=qhe(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new bse("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(JSON.stringify(a.dilationRate)));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new bse("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new bse("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return p(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Rhe(this.activation),useBias:this.useBias,biasInitializer:Zue(this.biasInitializer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),biasConstraint:_ce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(Nse("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,3))throw new bse("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(fce),tpe=function(e){d(n,e);var t=w(n);function n(e,r){var a;return l(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,Bse(a.filters,"filters"),a.kernelInitializer=Que(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Fce(r.kernelConstraint),a.kernelRegularizer=Bhe(r.kernelRegularizer),a}return p(n,[{key:"build",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:f({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;e=tce(e);var r=null==n.bias?null:n.bias.read(),a=Vse(n.activation.getClassName());if(null!=a&&2===n.rank)t=Qhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=Zhe(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=Qhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new xse("convolutions greater than 3D are not implemented yet.");t=$he(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=nce(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=Khe(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:Zue(this.kernelInitializer),kernelRegularizer:zhe(this.kernelRegularizer),kernelConstraint:_ce(this.kernelConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new bse("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(epe),npe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,2))throw new bse("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);npe.className="Conv2D",Bre(npe);var rpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new bse("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);rpe.className="Conv3D",Bre(rpe);var ape=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new bse("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(4!==(e=nce(e)).length)throw new bse("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uce({ndim:4,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);if(4!==t.shape.length)throw new bse("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],p=n.strides[1],f=[o,Xhe(s,h,c,n.padding),Xhe(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,1]));var d=d7(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=rne(d,[0,3,1,2])),null!=n.bias&&(d=Eue(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=nce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=Xhe(a[n],s,i,this.padding),a[r]=Xhe(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(npe);ape.className="Conv2DTranspose",Bre(ape);var ipe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new bse("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(5!==(e=nce(e)).length)throw new bse("Input should have rank 5; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new bse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uce({ndim:5,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);if(5!==t.shape.length)throw new bse("Conv3DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],c=o[r],l=o[a],h=n.kernelSize[0],p=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],v=n.strides[1],m=n.strides[2],g=[s,Xhe(u,d,h,n.padding),Xhe(c,v,p,n.padding),Xhe(l,m,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,4,1]));var y=g7(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=rne(y,[0,4,1,2,3])),null!==n.bias&&(y=Eue(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a,i=(e=nce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],c=this.strides[0],l=this.strides[1],h=this.strides[2];return i[t]=this.filters,i[n]=Xhe(i[n],c,o,this.padding),i[r]=Xhe(i[r],l,s,this.padding),i[a]=Xhe(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(rpe);ipe.className="Conv3DTranspose",Bre(ipe);var ope=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,e,r)).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",a.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",a.depthwiseKernel=null,a.pointwiseKernel=null,null==r.filters)throw new bse("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new bse("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=r.padding&&"same"!==r.padding&&"valid"!==r.padding)throw new bse("SeparableConv".concat(a.rank,"D supports only padding modes: ")+"'same' and 'valid', but received ".concat(JSON.stringify(r.padding)));return a.depthMultiplier=null==r.depthMultiplier?1:r.depthMultiplier,a.depthwiseInitializer=Que(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=Bhe(r.depthwiseRegularizer),a.depthwiseConstraint=Fce(r.depthwiseConstraint),a.pointwiseInitializer=Que(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=Bhe(r.pointwiseRegularizer),a.pointwiseConstraint=Fce(r.pointwiseConstraint),a}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<this.rank+2)throw new bse("Inputs to SeparableConv".concat(this.rank,"D should have rank ")+"".concat(this.rank+2,", but received input shape: ")+"".concat(JSON.stringify(e)));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new bse("The channel dimension of the inputs should be defined, "+"but found ".concat(JSON.stringify(e[t])));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),a=[],i=0;i<this.rank;++i)a.push(1);a.push(n*this.depthMultiplier,this.filters);var o=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",r,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,o,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,o,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,o,this.biasConstraint):this.bias=null,this.inputSpec=[new uce({ndim:this.rank+2,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;if(e=tce(e),1===n.rank)throw new xse("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=rne(e,[0,2,3,1])),t=pte(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Eue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=rne(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Zue(this.depthwiseInitializer),e.pointwiseInitializer=Zue(this.pointwiseInitializer),e.depthwiseRegularizer=zhe(this.depthwiseRegularizer),e.pointwiseRegularizer=zhe(this.pointwiseRegularizer),e.depthwiseConstraint=_ce(this.depthwiseConstraint),e.pointwiseConstraint=_ce(this.pointwiseConstraint),e}}]),n}(tpe);ope.className="SeparableConv";var spe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,2,e)}return p(n)}(ope);spe.className="SeparableConv2D",Bre(spe);var upe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Pse(e.kernelSize,"number",1,1))throw new bse("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(tpe);upe.className="Conv1D",Bre(upe);var cpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,e),"number"==typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(e=tce(e),"channelsLast"===n.dataFormat){var t=yue(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return yue(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=yue(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return yue(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);cpe.className="Cropping2D",Bre(cpe);var lpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;return l(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,zse(Kse,"InterpolationFormat",a),r}return p(n,[{key:"computeOutputShape",value:function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=rne(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Rre.resizeNearestNeighbor(t,[a,i]):Rre.resizeBilinear(t,[a,i]);return rne(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Rre.resizeNearestNeighbor(t,[s,u]):Rre.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);lpe.className="UpSampling2D",Bre(lpe);var hpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=Que(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Fce(e.depthwiseConstraint),r.depthwiseRegularizer=Bhe(e.depthwiseRegularizer),r}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<4)throw new bse("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new bse("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(e[t],")."));var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return e8((function(){null==a&&(a="channelsLast"),Qse(a);var o=Yhe(e,a);if(4!==e.rank)throw new bse("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new bse("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=N7(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}(e=tce(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=Eue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=Khe(t,this.kernelSize[0],this.padding,this.strides[0]),i=Khe(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Zue(this.depthwiseInitializer),e.depthwiseRegularizer=zhe(this.depthwiseRegularizer),e.depthwiseConstraint=_ce(this.depthwiseRegularizer),e}}]),n}(epe);function ppe(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new bse("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function fpe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return e8((function(){var u=t.shape.length;if(u<3)throw new bse("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(hue(2,u));if(t=rne(t,c),null!=i)throw new xse("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=X6(X6(a,"bool"),"float32")).rank===u-1&&(a=i9(a,-1)),a=rne(a,c)),r&&(t=ate(t,0),null!=a&&(a=ate(a,0)));var l,h,p=[],f=n,d=t.shape[0],v=Yte(t);null!=a&&(h=Yte(a));for(var m,g=function(t){var n=v[t],r=e8((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=e8((function(){var e=h[t],n=R9(nee(e),e);return{output:o8(c8(r[0],e),c8(f[0],n)),newStates:f.map((function(t,a){return o8(c8(r[1][a],e),c8(t,n))}))}}));l=i.output,f=i.newStates}s&&p.push(l)},y=0;y<d;++y)g(y);if(s){m=Rte(p,1)}return[l,m,f]}))}hpe.className="DepthwiseConv2D",Bre(hpe);var dpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;if(l(this,n),r=t.call(this,e),null==e.cell)throw new bse("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new wpe({cells:e.cell}):e.cell).stateSize)throw new bse("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new uce({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return p(n,[{key:"getStates",value:function(){return null==this.states_?hue(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){$ue(e)&&(e=e[0]);var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){var a,i=[],o=O(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(e){o.e(e)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))}},{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"build",value:function(e){if(null!=this.numConstants)throw new xse("Constants support is not implemented in RNN yet.");$ue(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new uce({shape:[t,null].concat(T(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!P$(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new bse("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new uce({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];e8((function(){if(!t.stateful)throw new gse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new bse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return H9([r,e])})):t.states_=[H9([r,t.cell.stateSize])];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return H9([r,e])})):t.states_[0]=H9([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new bse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):t8(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!P$(i.shape,s))throw new bse("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return n8(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=ppe(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=O(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new uce({shape:l.shape}))}}catch(e){c.e(e)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof cce){var h=[e].concat(o),p=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=p;var d=N(v(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=f,d}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=tce(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new bse("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=fpe((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var p=n.returnSequences?l:c;return n.returnState?[p].concat(h):p}))}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=H9(e.shape);return n=due(n=e9(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?kue(n,[1,e]):n})):t.cell.stateSize>1?[kue(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign(Object.assign(Object.assign({},r),e),t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=Xce(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(fce);dpe.className="RNN",Bre(dpe);var vpe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n)}(fce),mpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){e=nce(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(2!==e.length)throw new bse("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=Iue(null!=o?c8(e,o):e,n.kernel.read()),null!=n.bias&&(a=Eue(a,n.bias.read())),null!=s&&(r=c8(r,s));var u=o8(a,Iue(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);mpe.className="SimpleRNNCell",Bre(mpe);var gpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),e.cell=new mpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(dpe);gpe.className="SimpleRNN",Bre(gpe);var ype=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new bse("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ohe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(2!==e.length)throw new bse("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,u[0]));var l=Iue(e,n.kernel.read());n.useBias&&(l=Eue(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,c[0]));var h=n.recurrentKernel.read(),p=S(Tte(h,[2*n.units,n.units],h.rank-1),2),f=p[0],d=p[1],v=Iue(a,f),m=S(Tte(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=S(Tte(v,2,v.rank-1),2),k=x[0],w=x[1];i=n.recurrentActivation.apply(o8(g,k)),o=n.recurrentActivation.apply(o8(y,w));var I=Iue(c8(o,a),d);s=n.activation.apply(o8(b,I));var N=o8(c8(i,a),c8(o8(1,E9(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),recurrentActivation:Rhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);ype.className="GRUCell",Bre(ype);var bpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new ype(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(dpe);bpe.className="GRU",Bre(bpe);var xpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ohe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Que(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=Bhe(e.kernelRegularizer),r.recurrentRegularizer=Bhe(e.recurrentRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.kernelConstraint=Fce(e.kernelConstraint),r.recurrentConstraint=Fce(e.recurrentConstraint),r.biasConstraint=Fce(e.biasConstraint),r.dropout=cue([1,lue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=cue([1,lue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t,n,r=(e=nce(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new Mue).apply([i]),o=a.apply([2*i]);return xue(xue(n,r),o)}}]),n}(Fue),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new bse("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,l[0]));var p=Iue(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,h[0])),p=o8(p,Iue(a,n.recurrentKernel.read())),n.useBias&&(p=Eue(p,n.bias.read()));var f=S(Tte(p,4,p.rank-1),4),d=f[0],v=f[1],m=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(v),u=o8(c8(s,i),c8(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=c8(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rhe(this.activation),recurrentActivation:Rhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),recurrentInitializer:Zue(this.recurrentInitializer),biasInitializer:Zue(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:zhe(this.kernelRegularizer),recurrentRegularizer:zhe(this.recurrentRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),recurrentConstraint:_ce(this.recurrentConstraint),biasConstraint:_ce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(vpe);xpe.className="LSTMCell",Bre(xpe);var kpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new xpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(dpe);kpe.className="LSTM",Bre(kpe);var wpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).cells=e.cells,r}return p(n,[{key:"stateSize",get:function(){var e,t=[],n=O(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,T(r.stateSize)):t.push(r.stateSize)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a=e.slice(1),i=[],o=O(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(e){o.e(e)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var p,f=O(c.slice().reverse());try{for(f.s();!(p=f.n()).done;){var d,v=p.value;(d=a).push.apply(d,T(v))}}catch(e){f.e(e)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;$ue(e)&&(e=e[0]),this.cells.forEach((function(n,r){nue("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},e),t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.trainableWeights))}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.weights))}}catch(e){n.e(e)}finally{n.f()}return oce(t)}},{key:"setWeights",value:function(e){var t,n=[],r=O(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(e){r.e(e)}finally{r.f()}sce(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=O(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Xce(o,r))}}catch(e){i.e(e)}finally{i.f()}return new e({cells:a})}}]),n}(vpe);function Ipe(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):Aue(t(),n)},c=function(){return Rue(u,t,a)};return!o||o<=1?n8(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return n8(e.clone())}))}wpe.className="StackedRNNCells",Bre(wpe);var Npe=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},Spe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),e.unroll)throw new xse("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new xse("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new uce({ndim:5})],r}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){if(null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new bse("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(T(t.slice(2)))),this.returnState&&(t=[t].concat(T(Array(2).fill([e[0]].concat(T(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=H9([a[0]].concat(T(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];e8((function(){if(!t.stateful)throw new gse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(T(a.slice(2)));if(null==r[0])throw new bse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return H9(i)})):t.states_=[H9(i)];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return H9(i)})):t.states_[0]=H9(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new bse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):t8(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!P$(s.shape,u))throw new bse("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return n8(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=Khe(c,a[0],i,o[0],s[0]),p=Khe(l,a[1],i,o[1],s[1]);return[].concat(T(e.slice(0,2)),T(u?[r,h,p]:[h,p,r]))}}]),n}(dpe);Spe.className="ConvRNN2D";var Tpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,Bse(r.filters,"filters"),r.kernelSize=qhe(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return Bse(e,"kernelSize")})),r.strides=qhe(o||1,2,"strides"),r.strides.forEach((function(e){return Bse(e,"strides")})),r.padding=s||"valid",$se(r.padding),r.dataFormat=u||"channelsLast",Qse(r.dataFormat),r.dilationRate=qhe(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return Bse(e,"dilationRate")})),r}return p(n,[{key:"build",value:function(e){var t;e=nce(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new bse("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return bue([s.apply([u]),q9([u]),s.apply([2*u])])}}]),n}(Fue),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(3!==e.length)throw new bse("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ipe({ones:function(){return nee(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?c8(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),p=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ipe({ones:function(){return nee(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),v=u(i,f,1),m=u(i,f,2),g=u(i,f,3),y=S(Tte(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],w=y[3],I=S(n.useBias?Tte(n.bias.read(),4):[null,null,null,null],4),N=I[0],T=I[1],E=I[2],C=I[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,x,T,n.padding),h=n.inputConv(h,k,E,n.padding),p=n.inputConv(p,w,C,n.padding);var A=S(Tte(n.recurrentKernel.read(),4,3),4),R=A[0],_=A[1],O=A[2],F=A[3];d=n.recurrentConv(d,R),v=n.recurrentConv(v,_),m=n.recurrentConv(m,O),g=n.recurrentConv(g,F);var D=n.recurrentActivation.apply(o8(c,d)),M=n.recurrentActivation.apply(o8(l,v)),L=o8(c8(M,o),c8(D,n.activation.apply(o8(h,m)))),z=c8(n.recurrentActivation.apply(o8(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t=(e.units,Npe(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},t),r)}},{key:"inputConv",value:function(e,t,n,r){var a=h7(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Eue(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return h7(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(xpe);Tpe.className="ConvLSTM2DCell",Bre(Tpe);var Epe=function(e){d(n,e);var t=w(n);function n(e){l(this,n);var r=new Tpe(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return p(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(Spe);Epe.className="ConvLSTM2D",Bre(Epe);var Cpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return p(n,[{key:"getNoiseShape",value:function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return Rue((function(){return Aue(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return N(v(n.prototype),"dispose",this).call(this)}}]),n}(fce);Cpe.className="Dropout",Bre(Cpe);var Ape=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return p(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(Cpe);Ape.className="SpatialDropout1D",Bre(Ape);var Rpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,Bse(r.units,"units"),r.activation=Ohe(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=Que(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=Que(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Fce(e.kernelConstraint),r.biasConstraint=Fce(e.biasConstraint),r.kernelRegularizer=Bhe(e.kernelRegularizer),r.biasRegularizer=Bhe(e.biasRegularizer),r.activityRegularizer=Bhe(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:f({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r,a=tce(e),i=Vse(n.activation.getClassName());return null!=i?r=Iue(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=Iue(a,n.kernel.read()),null!=n.bias&&(r=Eue(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:Rhe(this.activation),useBias:this.useBias,kernelInitializer:Zue(this.kernelInitializer),biasInitializer:Zue(this.biasInitializer),kernelRegularizer:zhe(this.kernelRegularizer),biasRegularizer:zhe(this.biasRegularizer),activityRegularizer:zhe(this.activityRegularizer),kernelConstraint:_ce(this.kernelConstraint),biasConstraint:_ce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Rpe.className="Dense",Bre(Rpe);var _pe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n=O((e=nce(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new bse('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(e){n.e(e)}finally{n.f()}return[e[0],uue(e,1)]}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=rne(r,a)}return function(e){if(e.rank<=1)throw new bse("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],uue(e.shape,1)];return W8(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);_pe.className="Flatten",Bre(_pe);var Ope=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=Ohe(e.activation),r}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:Rhe(this.activation)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Ope.className="Activation",Bre(Ope);var Fpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return e=tce(e),t=e,r=n.n,e8((function(){if(2!==t.shape.length)throw new bse("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return kue(due(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Fpe.className="RepeatVector",Bre(Fpe);var Dpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return p(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value:function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new bse("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=uue(e);if(null!==i){if(0===a||u%a!=0)throw new bse(n);r[i]=u/a}else if(u!==a)throw new bse(n);return r}},{key:"computeOutputShape",value:function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return W8(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Dpe.className="Reshape",Bre(Dpe);var Mpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+"".concat(e.dims," instead."));var a=hue(1,e.dims.length+1);if(!P$(e.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new uce({ndim:r.dims.length+1})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return rne(tce(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Mpe.className="Permute",Bre(Mpe);var Lpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=tce(e);return v8(eee(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e),a=v8(eee(r,n.maskValue),-1,!0);return c8(r,X6(a,r.dtype))}))}}]),n}(fce);Lpe.className="Masking",Bre(Lpe);var zpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(Ese(e.inputLength))}return r.inputDim=e.inputDim,Bse(r.inputDim,"inputDim"),r.outputDim=e.outputDim,Bse(r.outputDim,"outputDim"),r.embeddingsInitializer=Que(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=Bhe(e.embeddingsRegularizer),r.activityRegularizer=Bhe(e.activityRegularizer),r.embeddingsConstraint=Fce(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return p(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){return n.maskZero?(e=tce(e),eee(e,F7(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=nce(e),null==this.inputLength)return[].concat(T(e),[this.outputDim]);var t=Ese(this.inputLength);if(t.length!==e.length-1)throw new bse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new bse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(T(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);"int32"!==r.dtype&&(r=fue(r,"int32"));var a=Nue(n.embeddings.read(),W8(r,[r.size]));return W8(a,nce(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Zue(this.embeddingsInitializer),embeddingsRegularizer:zhe(this.embeddingsRegularizer),activityRegularizer:zhe(this.activityRegularizer),embeddingsConstraint:_ce(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);zpe.className="Embedding",Bre(zpe);var Ppe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return p(n,[{key:"mergeFunction",value:function(e){throw new xse}},{key:"computeElementwiseOpOutputShape",value:function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new bse("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[nce(e)]),e.length<2)throw new bse("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(e){r.e(e)}finally{r.f()}if((n=Mse(n)).length>1)throw new bse("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===Mse(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=lue(r),o=O(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=due(s,1);t.push(s)}}catch(e){o.e(e)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=O(e);try{for(p.s();!(l=p.n()).done;){var f=l.value,d=f.rank;if(null==d){var v=f.shape,m=v[0],g=v.slice(1).concat([m]),y=W8(f,[m].concat(uue(v.slice(1))));y=rne(y,[1,0]),y=W8(y,g),t.push(y),h=!0}else if(d>1){var b=hue(1,d).concat([0]);t.push(rne(f,b)),h=!0}else t.push(f)}}catch(e){p.e(e)}finally{p.f()}var x=n.mergeFunction(t),k=x.rank;if(h)if(null==k){var w=x.shape,I=w[w.length-1],N=[I].concat(w.slice(0,w.length-1));x=W8(rne(W8(x,[-1,I]),[1,0]),N)}else if(k>1){var S=[k-1].concat(hue(0,k-1));x=rne(x,S)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==e[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}var a,i=[],o=O(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(e){o.e(e)}finally{o.f()}return t=1===(i=Mse(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return e8((function(){if(null==t)return null;if(!Array.isArray(t))throw new bse("`mask` should be an Array");if(!Array.isArray(e))throw new bse("`inputs` should be an Array");if(t.length!==e.length)throw new bse("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:i9(e,0)})))[0],r=1;r<t.length-1;++r)n=F9(n,t[r]);return n}))}}]),n}(fce),Bpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return t}))}}]),n}(Ppe);Bpe.className="Add",Bre(Bpe);var Wpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=c8(t,e[n]);return t}))}}]),n}(Ppe);Wpe.className="Multiply",Bre(Wpe);var Vpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return c8(1/e.length,t)}))}}]),n}(Ppe);Vpe.className="Average",Bre(Vpe);var Upe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=G9(t,e[n]);return t}))}}]),n}(Ppe);Upe.className="Maximum",Bre(Upe);var Gpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=X9(t,e[n]);return t}))}}]),n}(Ppe);Gpe.className="Minimum",Bre(Gpe);var jpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new bse("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=O(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=O(a);try{for(c.s();!(s=c.n()).done;){if(P$(s.value,o)){u=!0;break}}}catch(e){c.e(e)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new bse("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return e8((function(){return bue(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new bse("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=O(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(e){i.e(e)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new bse("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new bse("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new bse("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return e8((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(X6(nee(e[i]),"bool")):t[i].rank<e[i].rank?a.push(i9(t[i],-1)):a.push(t[i]);var o=G8(a,n.axis);return d8(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ppe);function Hpe(e,t){for(;e<0;)e+=t;return e}jpe.className="Concatenate",Bre(jpe);var qpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new xse("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new bse("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new bse("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(e.length," input(s)."));var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return Hpe(t,e[n].shape.length)})):[Hpe(this.axes,n.shape.length),Hpe(this.axes,r.shape.length)],this.normalize&&(n=Yce(n,t[0]),r=Yce(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new xse("batchDot is not implemented for tensors of 4D or higher rank yet");if(F$(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),F$(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new xse("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return e8((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=W8(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=W8(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e9(c8(e,t),i[0]):e9(c8(rne(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=j8(e,t,h,p)}if(n>0){for(var f,d=[],v=f=r>a?r+a-3:r-1;v<f+n;++v)d.push(v);o=Ate(o,d)}return 1===o.shape.length&&(o=i9(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[Hpe(this.axes,e.length),Hpe(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new xse("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ppe);qpe.className="Dot",Bre(qpe);var Kpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);return Rue((function(){return o8(wue(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(fce);Kpe.className="GaussianNoise",Bre(Kpe);var Xpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=tce(e);if(n.rate>0&&n.rate<1){return Rue((function(){var e=Math.sqrt(n.rate/(1-n.rate));return c8(r,wue(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(fce);Xpe.className="GaussianDropout",Bre(Xpe);var Ype=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return p(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||tce(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return Rue((function(){var t=tce(e),a=-1.7580993408473766,i=p9(Zee(r),n.rate);i=fue(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=o8(c8(t,i),c8(o8(i,-1),a));return o8(c8(u,o),s)}),(function(){return tce(e)}),t.training||!1)}return e}))}}]),n}(fce);function Jpe(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=Z8(e,t,n,r,a,o);else if(3===e.rank)i=Q8(e,t,n,r,a,o);else{if(4!==e.rank)throw new xse("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=$8(e,t,n,r,a,o)}return i}function Zpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i=Z9(e,r),o=i.mean,s=i.variance;return[Jpe(e,o,s,n,t,a),o,s]}))}function Qpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i,o=Z9(e,r),s=o.mean,u=o.variance,c=[],l=O(hue(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(e){l.e(e)}finally{l.f()}var p=W8(s,c),f=W8(u,c),d=null==t?null:W8(t,c),v=null==n?null:W8(n,c);return[Jpe(e,p,f,v,d,a),s,u]}))}Ype.className="AlphaDropout",Bre(Ype);var $pe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Que(e.betaInitializer||"zeros"),r.gammaInitializer=Que(e.gammaInitializer||"ones"),r.movingMeanInitializer=Que(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=Que(e.movingVarianceInitializer||"ones"),r.betaConstraint=Fce(e.betaConstraint),r.gammaConstraint=Fce(e.gammaConstraint),r.betaRegularizer=Bhe(e.betaRegularizer),r.gammaRegularizer=Bhe(e.gammaRegularizer),r}return p(n,[{key:"build",value:function(e){e=nce(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new bse("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new uce({ndim:e.length,axes:f({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null!=t.training&&t.training,a=tce(e),i=a.shape,o=i.length,s=hue(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=Ise(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!P$(l,hue(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=W8(n.movingMean.read(),c),t=W8(n.movingVariance.read(),c),r=n.center?W8(n.beta.read(),c):null,i=n.scale?W8(n.gamma.read(),c):null;return Jpe(a,e,t,r,i,n.epsilon)}return Jpe(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var p=function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return P$(r.slice().sort(),hue(0,e.rank-1))?Zpe(e,t,n,r,a):Qpe(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=S(p,3),d=f[0],v=f[1],m=f[2],g=function(e,t,n){e8((function(){var r=1-n,a=e.read(),i=c8(R9(a,t),r);e.write(R9(a,i))}))};return g(n.movingMean,v,n.momentum),g(n.movingVariance,m,n.momentum),d}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Zue(this.betaInitializer),gammaInitializer:Zue(this.gammaInitializer),movingMeanInitializer:Zue(this.movingMeanInitializer),movingVarianceInitializer:Zue(this.movingVarianceInitializer),betaRegularizer:zhe(this.betaRegularizer),gammaRegularizer:zhe(this.gammaRegularizer),betaConstraint:_ce(this.betaConstraint),gammaConstraint:_ce(this.gammaConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);$pe.className="BatchNormalization",Bre($pe);var efe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"==typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,i=O(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(e){i.e(e)}finally{i.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=Que(e.betaInitializer||"zeros"),r.gammaInitializer=Que(e.gammaInitializer||"ones"),r.betaRegularizer=Bhe(e.betaRegularizer),r.gammaRegularizer=Bhe(e.gammaRegularizer),r.supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){var t=(e=nce(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);var r,a=O(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(e){a.e(e)}finally{a.f()}if(this.axis.length!==Mse(this.axis).length)throw new Error("Found duplicate axes in: ".concat(this.axis));var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=tce(e),a=r.shape,i=a.length;return e8((function(){var e,t=Z9(r,n.axis,!0),o=t.mean,s=t.variance,u=Ise(1,i),c=O(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(e){c.e(e)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?W8(e,u):e},p=n.scale?h(n.gamma.read()):null,f=n.center?h(n.beta.read()):null,d=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(d.push(a[m]),v.push(1)):(d.push(1),v.push(a[m]));return o=s9(o,d),s=s9(s,d),null!=p&&(p=s9(p,v)),null!=f&&(f=s9(f,v)),Jpe(r,o,s,f,p,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Zue(this.betaInitializer),gammaInitializer:Zue(this.gammaInitializer),betaRegularizer:zhe(this.betaRegularizer),gammaRegularizer:zhe(this.gammaRegularizer)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);efe.className="LayerNormalization",Bre(efe);var tfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new bse("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"==typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new bse("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new bse("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=nce(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}},{key:"call",value:function(e,t){var n=this;return e8((function(){return t=tce(e),r=n.padding,a=n.dataFormat,e8((function(){if(4!==t.rank)throw new bse("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(t.rank,"-D tensor."));if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new bse("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new bse("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],aee(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);function nfe(e,t,n,r,a,i){return e8((function(){var o;Qse(a),eue(i),$se(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Yhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?W9(e,t,n,s):V8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}function rfe(e,t,n,r,a,i){return e8((function(){var o;Qse(a),eue(i),$se(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Jhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?V9(e,t,n,s):U8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,4,1,2,3])),o}))}tfe.className="ZeroPadding2D",Bre(tfe);var afe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"==typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new bse("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(Bse(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"==typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new bse("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,$se(r.padding),r.inputSpec=[new uce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=Khe((e=nce(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t),e=due(tce(e),2);var r=n.poolingFunction(tce(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Ate(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),ife=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"max")}}]),n}(afe);ife.className="MaxPooling1D",Bre(ife);var ofe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"avg")}}]),n}(afe);ofe.className="AveragePooling1D",Bre(ofe);var sfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new bse("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return Bse(r.poolSize,"poolSize"),Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),$se(r.padding),r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Khe(t,this.poolSize[0],this.padding,this.strides[0]),n=Khe(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(tce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),ufe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"max")}}]),n}(sfe);ufe.className="MaxPooling2D",Bre(ufe);var cfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),nfe(e,t,n,r,a,"avg")}}]),n}(sfe);cfe.className="AveragePooling2D",Bre(cfe);var lfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new bse("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return Bse(r.poolSize,"poolSize"),Bse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),$se(r.padding),r.inputSpec=[new uce({ndim:5})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=nce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=Khe(t,this.poolSize[0],this.padding,this.strides[0]),n=Khe(n,this.poolSize[1],this.padding,this.strides[1]),r=Khe(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(tce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),hfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),rfe(e,t,n,r,a,"max")}}]),n}(lfe);hfe.className="MaxPooling3D",Bre(hfe);var pfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Qse(a),$se(r),rfe(e,t,n,r,a,"avg")}}]),n}(lfe);pfe.className="AveragePooling3D",Bre(pfe);var ffe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[new uce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new xse}}]),n}(fce),dfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=tce(e);return j9(t,1)}))}}]),n}(ffe);dfe.className="GlobalAveragePooling1D",Bre(dfe);var vfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=tce(e);return X7(t,1)}))}}]),n}(ffe);vfe.className="GlobalMaxPooling1D",Bre(vfe);var mfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qse(r.dataFormat),r.inputSpec=[new uce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new xse}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce),gfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);return"channelsLast"===n.dataFormat?j9(t,[1,2]):j9(t,[2,3])}))}}]),n}(mfe);gfe.className="GlobalAveragePooling2D",Bre(gfe);var yfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);return"channelsLast"===n.dataFormat?X7(t,[1,2]):X7(t,[2,3])}))}}]),n}(mfe);yfe.className="GlobalMaxPooling2D",Bre(yfe);var bfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).layer=e.layer,r}return p(n,[{key:"build",value:function(e){this.built=!0}},{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=Xce(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(fce),xfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){if((e=nce(e)).length<3)throw new bse("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),N(v(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=nce(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return e8((function(){return fpe((function(e,r){return[tce(n.layer.call(e,t)),[]]}),e=tce(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(bfe);xfe.className="TimeDistributed",Bre(xfe);var kfe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=Xce(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=Xce(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,zse(Jse,"BidirectionalMergeMode",o),e.weights)throw new xse("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return p(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):Tse(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=ppe(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return N(v(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new bse("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,T(r));var c=r.map((function(e){return new uce({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,T(c))}if(null!=a)throw new xse("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof cce,h=0,p=o;h<p.length;h++){if(p[h]instanceof cce!==l)throw new bse("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=N(v(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=m,g}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=ate(a,1)),"concat"===n.mergeMode?o=bue([r,a]):"sum"===n.mergeMode?o=o8(r,a):"ave"===n.mergeMode?o=c8(.5,o8(r,a)):"mul"===n.mergeMode?o=c8(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;nue(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),nue(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=Xce(t.layer);if(delete t.layer,null!=t.numConstants)throw new xse("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(bfe);kfe.className="Bidirectional",Bre(kfe);var wfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return p(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){return"float32"!==(e=tce(e)).dtype&&(e=fue(e,"float32")),o8(c8(e,n.scale),n.offset)}))}}]),n}(fce);wfe.className="Rescaling",Bre(wfe);var Ife=Rre.resizeBilinear,Nfe=Rre.cropAndResize,Sfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return p(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return e8((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=Rte([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var f=U5(h,[h.length,4]),d=$ee(0,h.length,1,"int32"),v=Nfe(u,f,d,[r,a],"nearest");return fue(c?tce(Yte(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return e8((function(){return fue(Ife(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e),r=t.dtype,a=t.shape,i=a[a.length-3],o=a[a.length-2],s=0;i!==n.height&&(s=Math.floor((i-n.height)/2));var u=0;return o!==n.width&&0===(u=Math.floor((o-n.width)/2))&&(u=1),s>=0&&u>=0?n.centerCrop(t,s,u,n.height,n.width,i,o,r):n.upsize(e,n.height,n.width,r)}))}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(fce);Sfe.className="CenterCrop",Bre(Sfe);var Tfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return p(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=nce(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r;if("int32"!==(e=tce(e)).dtype&&(e=fue(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new bse("countWeights is not used when outputMode !== count.\n              Received countWeights=".concat(t.countWeights));r=tce(t.countWeights)}var a=X7(e),i=Y7(e),o=h9(n.numTokens,a).bufferSync().get(0),s=p9(i,0).bufferSync().get(0);if(!o||!s)throw new bse("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=tce(e);if("int32"!==a.dtype&&(a=fue(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=i9(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=i9(a,-1)),a.rank>2)throw new bse("When outputMode is not int, maximum output rank is 2"+" Received outputMode ".concat(t," and input shape ").concat(i)+" which would result in output rank ".concat(a.rank,"."));var o,s=["multiHot","oneHot"].includes(t);if(o=w7(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return c8(o,r);throw new bse("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(fce);Tfe.className="CategoryEncoding",Bre(Tfe);var Efe=new Set(["bilinear","nearest"]),Cfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!Efe.has(e.interpolation))throw new bse("Invalid interpolation parameter: ".concat(e.interpolation," is not implemented"));r.interpolation=e.interpolation}else r.interpolation="bilinear";return r.cropToAspectRatio=Boolean(e.cropToAspectRatio),r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=nce(e))[2];return[this.height,this.width,t]}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return Rre.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return Rre.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(T(Efe)," are supported"))}))}}]),n}(fce);Cfe.className="Resizing",Bre(Cfe);var Afe=function(){function e(t){l(this,e),this.seed=t}return p(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();Afe.className="RandomSeed";var Rfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).randomGenerator=new Afe(e.seed),r}return p(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(fce);Rfe.className="BaseRandomLayer";var _fe=new Set(["bilinear","nearest"]),Ofe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.factor,i=e.interpolation,o=void 0===i?"bilinear":i;if(r.factor=a,Array.isArray(r.factor)&&2===r.factor.length)r.widthLower=r.factor[0],r.widthUpper=r.factor[1];else{if(Array.isArray(r.factor)||!(r.factor>0))throw new bse("Invalid factor: ".concat(r.factor,". Must be positive number or tuple of 2 numbers"));r.widthLower=-r.factor,r.widthUpper=r.factor}if(r.widthLower<-1||r.widthUpper<-1)throw new bse("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new bse("factor cannot have upper bound less than lower bound.\n        Got upper bound: ".concat(r.widthUpper,".\n        Got lower bound: ").concat(r.widthLower,"\n      "));if(o){if(!_fe.has(o))throw new bse("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return p(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=nce(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=tce(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=Zee([1],1+n.widthLower,1+n.widthUpper,"float32",n.randomGenerator.next());var a=n.widthFactor.dataSync()[0]*r;a=Math.round(a);var i=[n.imgHeight,a];switch(n.interpolation){case"bilinear":return Rre.resizeBilinear(e,i);case"nearest":return Rre.resizeNearestNeighbor(e,i);default:throw new Error("Interpolation is ".concat(n.interpolation,"\n          but only ").concat(T(_fe)," are supported"))}}))}}]),n}(Rfe);function Ffe(e){return new ofe(e)}function Dfe(e){return new cfe(e)}function Mfe(e){return new pfe(e)}function Lfe(e){return new vfe(e)}function zfe(e){return new yfe(e)}function Pfe(e){return new ife(e)}function Bfe(e){return new ufe(e)}Ofe.className="RandomWidth",Bre(Ofe);var Wfe={__proto__:null,Layer:fce,RNN:dpe,RNNCell:vpe,activation:function(e){return new Ope(e)},add:function(e){return new Bpe(e)},alphaDropout:function(e){return new Ype(e)},average:function(e){return new Vpe(e)},averagePooling1d:Ffe,averagePooling2d:Dfe,averagePooling3d:Mfe,avgPool1d:function(e){return Ffe(e)},avgPool2d:function(e){return Dfe(e)},avgPool3d:function(e){return Mfe(e)},avgPooling1d:function(e){return Ffe(e)},avgPooling2d:function(e){return Dfe(e)},avgPooling3d:function(e){return Mfe(e)},batchNormalization:function(e){return new $pe(e)},bidirectional:function(e){return new kfe(e)},categoryEncoding:function(e){return new Tfe(e)},centerCrop:function(e){return new Sfe(e)},concatenate:function(e){return new jpe(e)},conv1d:function(e){return new upe(e)},conv2d:function(e){return new npe(e)},conv2dTranspose:function(e){return new ape(e)},conv3d:function(e){return new rpe(e)},conv3dTranspose:function(e){return new ipe(e)},convLstm2d:function(e){return new Epe(e)},convLstm2dCell:function(e){return new Tpe(e)},cropping2D:function(e){return new cpe(e)},dense:function(e){return new Rpe(e)},depthwiseConv2d:function(e){return new hpe(e)},dot:function(e){return new qpe(e)},dropout:function(e){return new Cpe(e)},elu:function(e){return new Ghe(e)},embedding:function(e){return new zpe(e)},flatten:function(e){return new _pe(e)},gaussianDropout:function(e){return new Xpe(e)},gaussianNoise:function(e){return new Kpe(e)},globalAveragePooling1d:function(e){return new dfe(e)},globalAveragePooling2d:function(e){return new gfe(e)},globalMaxPool1d:Lfe,globalMaxPool2d:zfe,globalMaxPooling1d:Lfe,globalMaxPooling2d:zfe,gru:function(e){return new bpe(e)},gruCell:function(e){return new ype(e)},input:dhe,inputLayer:function(e){return new vce(e)},layerNormalization:function(e){return new efe(e)},leakyReLU:function(e){return new Vhe(e)},lstm:function(e){return new kpe(e)},lstmCell:function(e){return new xpe(e)},masking:function(e){return new Lpe(e)},maxPool1d:Pfe,maxPool2d:Bfe,maxPooling1d:Pfe,maxPooling2d:Bfe,maxPooling3d:function(e){return new hfe(e)},maximum:function(e){return new Upe(e)},minimum:function(e){return new Gpe(e)},multiply:function(e){return new Wpe(e)},permute:function(e){return new Mpe(e)},prelu:function(e){return new Uhe(e)},randomWidth:function(e){return new Ofe(e)},reLU:function(e){return new Whe(e)},repeatVector:function(e){return new Fpe(e)},rescaling:function(e){return new wfe(e)},reshape:function(e){return new Dpe(e)},resizing:function(e){return new Cfe(e)},rnn:function(e){return new dpe(e)},separableConv2d:function(e){return new spe(e)},simpleRNN:function(e){return new gpe(e)},simpleRNNCell:function(e){return new mpe(e)},softmax:function(e){return new Hhe(e)},spatialDropout1d:function(e){return new Ape(e)},stackedRNNCells:function(e){return new wpe(e)},thresholdedReLU:function(e){return new jhe(e)},timeDistributed:function(e){return new xfe(e)},upSampling2d:function(e){return new lpe(e)},zeroPadding2d:function(e){return new tfe(e)}};var Vfe={__proto__:null,MAPE:function(e,t){return Qce(e,t)},MSE:function(e,t){return Jce(e,t)},binaryAccuracy:function(e,t){return sle(e,t)},binaryCrossentropy:function(e,t){return ple(e,t)},categoricalAccuracy:function(e,t){return ule(e,t)},categoricalCrossentropy:function(e,t){return dle(e,t)},cosineProximity:function(e,t){return ale(e,t)},mape:function(e,t){return Qce(e,t)},meanAbsoluteError:function(e,t){return Zce(e,t)},meanAbsolutePercentageError:function(e,t){return Qce(e,t)},meanSquaredError:function(e,t){return Jce(e,t)},mse:function(e,t){return Jce(e,t)},precision:function(e,t){return lle(e,t)},recall:function(e,t){return hle(e,t)},sparseCategoricalAccuracy:function(e,t){return fle(e,t)}},Ufe={__proto__:null,modelFromJSON:function(e,t){return uhe.apply(this,arguments)}};var Gfe={__proto__:null,l1:function(e){return Fhe(t=e),new Mhe({l1:null!=t?t.l1:null,l2:0});var t},l1l2:function(e){return new Mhe(e)},l2:function(e){return Fhe(t=e),new Mhe({l2:null!=t?t.l2:null,l1:0});var t}},jfe=function(e){d(n,e);var t=w(n);function n(){var e;return l(this,n),(e=t.apply(this,arguments)).model=null,e}return p(n,[{key:"setModel",value:function(e){if(!(e instanceof ohe))throw new Error("model must be a LayersModel, not some other Container");this.model=e}}]),n}(Wce);function Hfe(e,t){return e<t}function qfe(e,t){return e>t}var Kfe=function(e){d(i,e);var t,n,r,a=w(i);function i(e){var t;if(l(this,i),t=a.call(this),null==e&&(e={}),e.restoreBestWeights)throw new xse("restoreBestWeights = True is not implemented in EarlyStopping yet.");return t.monitor=e.monitor||"val_loss",t.minDelta=Math.abs(e.minDelta||0),t.patience=e.patience||0,t.verbose=e.verbose||0,t.mode=e.mode||"auto",t.baseline=e.baseline,-1===["auto","min","max"].indexOf(t.mode)&&(console.warn("EarlyStopping mode '".concat(t.mode,"' is invalid. ")+"Falling back to mode 'auto'."),t.mode="auto"),"min"===t.mode?t.monitorFunc=Hfe:"max"===t.mode||-1!==t.monitor.indexOf("acc")?t.monitorFunc=qfe:t.monitorFunc=Hfe,t.monitorFunc===Hfe&&(t.minDelta*=-1),t}return p(i,[{key:"onTrainBegin",value:(r=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===Hfe?1/0:-1/0;case 3:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"onEpochEnd",value:(n=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,zce(n);case 2:if(null!=(r=this.getMonitorValue(n))){e.next=5;break}return e.abrupt("return");case 5:this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0));case 6:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"onTrainEnd",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.stoppedEpoch>0&&this.verbose&&console.log("Epoch ".concat(this.stoppedEpoch,": early stopping."));case 1:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getMonitorValue",value:function(e){null==e&&(e={});var t=e[this.monitor];return null==t&&console.warn("Metric for EarlyStopping ".concat(this.monitor," is not available. ")+"Available metrics are: ".concat(Object.keys(e))),t}}]),i}(jfe);var Xfe,Yfe,Jfe={earlyStopping:function(e){return new Kfe(e)}};k0().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. 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c="".concat(i,":").concat(u);t.inputNames[n]=c}}t.inputs.push(s),s.children.push(t)}))}));var s=e.ret;e.signature.outputArg.forEach((function(e){var t=S(nde(s[e.name]),2),n=t[0],r=t[1],i=a[n];null!=i&&(i.defaultOutput=r,o.push(i))}));var u=this.mapArgsToSignature(e);return{nodes:a,inputs:i,outputs:o,weights:r,placeholders:[],signature:u}}},{key:"mapArgsToSignature",value:function(e){var t=this;return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((function(e,n){return e[n.name]=t.mapArgToTensorInfo(n),e}),{}),outputs:e.signature.outputArg.reduce((function(n,r){return n[r.name]=t.mapArgToTensorInfo(r,e.ret),n}),{})}}},{key:"mapArgToTensorInfo",value:function(e,t){var n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}],[{key:"Instance",get:function(){return this._instance||(this._instance=new this)}}]),e}();function Ede(e,t){var n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){var t=k0().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function Cde(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return null!=a?Ede(a.s,r):n}function Ade(e,t,n){var r=e[t];return r?r.b:n}function Rde(e,t,n){var r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function _de(e){switch("string"==typeof e&&(e=Xfe[e]),e){case Xfe.DT_FLOAT:case Xfe.DT_HALF:return"float32";case Xfe.DT_INT32:case Xfe.DT_INT64:case Xfe.DT_INT8:case Xfe.DT_UINT8:return"int32";case Xfe.DT_BOOL:return"bool";case Xfe.DT_DOUBLE:return"float32";case Xfe.DT_STRING:return"string";default:return null}}function Ode(e,t,n){var r=e[t];return r&&r.func?r.func.name:n}function Fde(e,t,n){var r=e[t];return r&&r.type?_de(r.type):n}function Dde(e,t,n){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map((function(e){return _de(e)})):n}function Mde(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((function(e){return"number"==typeof e.size?e.size:parseInt(e.size,10)})):[]}function Lde(e,t,n){var r=e[t];return r&&r.shape?Mde(r.shape):n}function zde(e,t,n){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((function(e){return"number"==typeof e?e:parseInt(e,10)})):n}function Pde(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return a&&a.list&&a.list.s?a.list.s.map((function(e){return Ede(e,r)})):n}function Bde(e,t,n){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((function(e){return Mde(e)})):n}function Wde(e,t,n){var r=e[t];return r&&r.list&&r.list.b?r.list.b:n}var Vde=function(){function e(t,n,r){var a=this;l(this,e),this.node=t,this.tensorMap=n,this.context=r,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map((function(e){return a.getInput(e)})),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce((function(e,t){return e[t]=a.getAttr(t),e}),{}))}return p(e,[{key:"getInput",value:function(e){return ede(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return ede(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Rde(this.node.rawAttrs,e,t);if(null!=n.s)return Cde(this.node.rawAttrs,e,t);if(null!=n.b)return Ade(this.node.rawAttrs,e,t);if(null!=n.shape)return Lde(this.node.rawAttrs,e,t);if(null!=n.type)return Fde(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return zde(this.node.rawAttrs,e,t);if(null!=n.list.s)return Pde(this.node.rawAttrs,e,t);if(null!=n.list.shape)return Bde(this.node.rawAttrs,e,t);if(null!=n.list.b)return Wde(this.node.rawAttrs,e,t);if(null!=n.list.type)return Dde(this.node.rawAttrs,e,t)}return t}}]),e}(),Ude={__proto__:null,OP_SCOPE_SUFFIX:P5,abs:l8,acos:h8,acosh:p8,add:o8,addN:f8,all:d8,any:v8,argMax:m8,argMin:g8,asin:y8,asinh:b8,atan:x8,atan2:k8,atanh:w8,avgPool:V8,avgPool3d:U8,basicLSTMCell:X8,batchNorm:J8,batchNorm2d:Z8,batchNorm3d:Q8,batchNorm4d:$8,batchToSpaceND:Y8,bincount:e7,bitwiseAnd:t7,booleanMaskAsync:nne,broadcastArgs:n7,broadcastTo:r7,buffer:K6,cast:X6,ceil:a7,clipByValue:o7,clone:Y6,complex:W5,concat:G8,concat1d:s7,concat2d:u7,concat3d:c7,concat4d:l7,conv1d:p7,conv2d:h7,conv2dTranspose:d7,conv3d:v7,conv3dTranspose:g7,cos:y7,cosh:b7,cosineWindow:hne,cumprod:x7,cumsum:k7,denseBincount:w7,depthToSpace:I7,depthwiseConv2d:N7,diag:S7,dilation2d:T7,div:u8,divNoNan:D7,dot:M7,dropout:cne,einsum:L7,elu:z7,enclosingPowerOfTwo:lne,ensureShape:P7,equal:_7,erf:B7,euclideanNorm:r9,exp:a9,expandDims:i9,expm1:o9,eye:u9,fft:Ite,fill:i7,floor:c9,floorDiv:s8,fused:Nne,gather:l9,gatherND:une,greater:h9,greaterEqual:p9,ifft:Nte,imag:f9,image:Rre,inTopKAsync:fne,irfft:Ste,isFinite:d9,isInf:v9,isNaN:m9,leakyRelu:g9,less:y9,lessEqual:b9,linalg:_re,linspace:x9,localResponseNormalization:k9,log:w9,log1p:I9,logSigmoid:A9,logSoftmax:_9,logSumExp:O9,logicalAnd:F9,logicalNot:D9,logicalOr:M9,logicalXor:L9,losses:Ore,lowerBound:B9,matMul:j8,max:X7,maxPool:W9,maxPool3d:V9,maxPoolWithArgmax:U9,maximum:G9,mean:j9,meshgrid:K9,min:Y7,minimum:X9,mirrorPad:Y9,mod:J9,moments:Z9,movingAverage:ane,mul:c8,multiRNNCell:Q9,multinomial:$9,neg:E9,norm:n9,notEqual:eee,oneHot:tee,ones:q9,onesLike:nee,op:B5,outerProduct:ree,pad:aee,pad1d:iee,pad2d:oee,pad3d:see,pad4d:uee,pool:lee,pow:J7,prelu:hee,print:J6,prod:pee,raggedGather:fee,raggedRange:dee,raggedTensorToTensor:vee,rand:mee,randomGamma:Xee,randomNormal:Yee,randomStandardNormal:Jee,randomUniform:Zee,randomUniformInt:Qee,range:$ee,real:ete,reciprocal:tte,relu:nte,relu6:rte,reshape:W8,reverse:ate,reverse1d:ite,reverse2d:ote,reverse3d:ste,reverse4d:ute,rfft:Ete,round:cte,rsqrt:lte,scalar:Z7,scatterND:ine,searchSorted:P9,selu:hte,separableConv2d:pte,setdiff1dAsync:dte,sigmoid:H8,sign:vte,signal:Are,sin:mte,sinh:gte,slice:q8,slice1d:yte,slice2d:bte,slice3d:xte,slice4d:kte,softmax:wte,softplus:C9,spaceToBatchND:cee,sparse:Fre,sparseToDense:sne,spectral:Cre,split:Tte,sqrt:Q7,square:$7,squaredDifference:Cte,squeeze:Ate,stack:Rte,step:_te,stridedSlice:Ote,string:Dre,sub:R9,sum:e9,tan:Fte,tanh:K8,tensor:U5,tensor1d:Dte,tensor2d:Mte,tensor3d:Lte,tensor4d:zte,tensor5d:Pte,tensor6d:Bte,tensorScatterUpdate:jte,tile:s9,topk:Hte,transpose:rne,truncatedNormal:qte,unique:Kte,unsortedSegmentSum:Xte,unstack:Yte,upperBound:Jte,variable:Zte,where:O7,whereAsync:ene,zeros:H9,zerosLike:F7},Gde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add($fe("a",e,t,n),$fe("b",e,t,n))];case"AddN":return[r.addN($fe("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod($fe("a",e,t,n),$fe("b",e,t,n))];case"Mul":return[r.mul($fe("a",e,t,n),$fe("b",e,t,n))];case"RealDiv":case"Div":return[r.div($fe("a",e,t,n),$fe("b",e,t,n))];case"DivNoNan":return[r.divNoNan($fe("a",e,t,n),$fe("b",e,t,n))];case"FloorDiv":return[r.floorDiv($fe("a",e,t,n),$fe("b",e,t,n))];case"Sub":return[r.sub($fe("a",e,t,n),$fe("b",e,t,n))];case"Minimum":return[r.minimum($fe("a",e,t,n),$fe("b",e,t,n))];case"Maximum":return[r.maximum($fe("a",e,t,n),$fe("b",e,t,n))];case"Pow":return[r.pow($fe("a",e,t,n),$fe("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference($fe("a",e,t,n),$fe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},jde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Abs":case"ComplexAbs":return[r.abs($fe("x",e,t,n))];case"Acos":return[r.acos($fe("x",e,t,n))];case"Acosh":return[r.acosh($fe("x",e,t,n))];case"Asin":return[r.asin($fe("x",e,t,n))];case"Asinh":return[r.asinh($fe("x",e,t,n))];case"Atan":return[r.atan($fe("x",e,t,n))];case"Atan2":return[r.atan2($fe("x",e,t,n),$fe("y",e,t,n))];case"Atanh":return[r.atanh($fe("x",e,t,n))];case"Ceil":return[r.ceil($fe("x",e,t,n))];case"Complex":return[r.complex($fe("real",e,t,n),$fe("imag",e,t,n))];case"Cos":return[r.cos($fe("x",e,t,n))];case"Cosh":return[r.cosh($fe("x",e,t,n))];case"Elu":return[r.elu($fe("x",e,t,n))];case"Erf":return[r.erf($fe("x",e,t,n))];case"Exp":return[r.exp($fe("x",e,t,n))];case"Expm1":return[r.expm1($fe("x",e,t,n))];case"Floor":return[r.floor($fe("x",e,t,n))];case"Log":return[r.log($fe("x",e,t,n))];case"Log1p":return[r.log1p($fe("x",e,t,n))];case"Imag":return[r.imag($fe("x",e,t,n))];case"Neg":return[r.neg($fe("x",e,t,n))];case"Reciprocal":return[r.reciprocal($fe("x",e,t,n))];case"Real":return[r.real($fe("x",e,t,n))];case"Relu":return[r.relu($fe("x",e,t,n))];case"Round":return[r.round($fe("x",e,t,n))];case"Selu":return[r.selu($fe("x",e,t,n))];case"Sigmoid":return[r.sigmoid($fe("x",e,t,n))];case"Sin":return[r.sin($fe("x",e,t,n))];case"Sign":return[r.sign($fe("x",e,t,n))];case"Sinh":return[r.sinh($fe("x",e,t,n))];case"Softplus":return[r.softplus($fe("x",e,t,n))];case"Sqrt":return[r.sqrt($fe("x",e,t,n))];case"Square":return[r.square($fe("x",e,t,n))];case"Tanh":return[r.tanh($fe("x",e,t,n))];case"Tan":return[r.tan($fe("x",e,t,n))];case"ClipByValue":return[r.clipByValue($fe("x",e,t,n),$fe("clipValueMin",e,t,n),$fe("clipValueMax",e,t,n))];case"Relu6":return[r.relu6($fe("x",e,t,n))];case"Rsqrt":return[r.rsqrt(ede(e.inputNames[0],t,n))];case"LeakyRelu":return[r.leakyRelu($fe("x",e,t,n),$fe("alpha",e,t,n))];case"Prelu":return[r.prelu($fe("x",e,t,n),$fe("alpha",e,t,n))];case"IsNan":return[r.isNaN(ede(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(ede(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(ede(e.inputNames[0],t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function Hde(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!=typeof e&&"number"!=typeof t){F$(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];F$(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function qde(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function Kde(e,t,n){var r=Xde(e,n),a=!qde(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=Xde(e.shape,r)})),!qde(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function Xde(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. ").concat(t));for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: ".concat(e," vs. ").concat(t));n[r]=a>=0?a:i}return n}var Yde=function(){function e(t,n,r,a,i,o,s){l(this,e),this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.idTensor=Z7(0),n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"read",value:function(e){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||e>=this.size())throw new Error("Tried to read from index ".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n          because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),Hde(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,n8(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return U5([],[0].concat(this.elementShape));var r=this.readMany(e);return Hde(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Rte(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return U5([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return Hde(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),G8(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,T(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n,"  vs. ").concat(this.maxSize,")"));this.writeMany(e,Yte(t,0))}},{key:"split",value:function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(t.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];e8((function(){t=W8(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,e[s],i];o[s]=W8(q8(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),Jde=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;l(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Hde(n,e.shape,"TensorList shape mismatch: "),n8(e)})),this.idTensor=Z7(0),this.maxNumElements=a,n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(T(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));Hde(e,this.elementShape,"TensorList shape mismatch: ");var a=Kde(this.elementShape,this.tensors,e);return e8((function(){var e=n.tensors.map((function(e){return W8(e,a)}));return Rte(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=Kde(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,Hde(r.shape,e,"TensorList shape mismatch: "),W8(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(Hde(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");n8(e),this.tensors.push(e)}},{key:"resize",value:function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(t));if(-1!==this.maxNumElements&&t>this.maxNumElements)throw new Error("TensorListResize input size ".concat(t," is greater maxNumElement ").concat(this.maxNumElements,"."));var n=new e([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(var r=0;r<Math.min(this.tensors.length,t);++r)n.tensors[r]=this.tensors[r];return n}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));Hde(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=Kde(this.elementShape,this.tensors,t);return W8(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));Hde(this.elementShape,t.shape,"TensorList shape mismatch: "),n8(t),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));Hde(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=Kde(this.elementShape,this.tensors,n);return 0===e.length?U5([],[0].concat(a)):e8((function(){var t=e.map((function(e){return W8(r.tensors[e],a)}));return Rte(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));Hde(this.elementShape,t,"TensorList shape mismatch: ");var r=Kde(this.elementShape,this.tensors,t);return 0===this.size()?U5([],[0].concat(r)):e8((function(){var e=n.tensors.map((function(e){return W8(e,r)}));return G8(e,0)}))}}]),e}();function Zde(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));Hde(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=Yte(e);return new Jde(a,t,r)}function Qde(e,t,n,r){return new Jde([],e,t,r)}function $de(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,T(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a,"  vs. ").concat(r,")"));var i=new Jde([],n,e.dtype,r),o=Yte(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function eve(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(e.shape));for(var i=Xde(e.shape.slice(1),n),o=0===r?0:e.size/r,s=e8((function(){var n=[];e=W8(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,t[s],o];n[s]=W8(q8(e,u,c),i)}return e.dispose(),n})),u=new Jde([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var tve=function(){var e=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z,P,B,W,V,U,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,fe,de,ve,me,ge,ye,be,xe,ke,we,Ie,Ne,Se,Te,Ee,Ce,Ae,Re,_e,Oe,Fe,De,Me,Le,ze,Pe,Be,We,Ve,Ue,Ge,je,He,qe,Ke,Xe,Ye,Je,Ze,Qe,$e,et,tt,nt,rt,at,it,ot;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?33:"Switch"===e.t0?35:"Merge"===e.t0?46:"Enter"===e.t0?51:"Exit"===e.t0?55:"NextIteration"===e.t0?58:"TensorArrayV3"===e.t0?61:"TensorArrayWriteV3"===e.t0?71:"TensorArrayReadV3"===e.t0?77:"TensorArrayGatherV3"===e.t0?81:"TensorArrayScatterV3"===e.t0?86:"TensorArrayConcatV3"===e.t0?92:"TensorArraySplitV3"===e.t0?96:"TensorArraySizeV3"===e.t0?102:"TensorArrayCloseV3"===e.t0?105:"TensorListSetItem"===e.t0?109:"TensorListGetItem"===e.t0?115:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?121:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?128:"TensorListGather"===e.t0?136:"TensorListStack"===e.t0?142:"TensorListFromTensor"===e.t0?148:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?154:"TensorListPushBack"===e.t0?159:"TensorListPopBack"===e.t0?164:"TensorListSplit"===e.t0?169:"TensorListLength"===e.t0?175:"TensorListResize"===e.t0?178:184;break;case 3:return a=$fe("thenBranch",t,n,r),i=$fe("elseBranch",t,n,r),s=$fe("cond",t,n,r),u=$fe("args",t,n,r),e.next=9,s.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 15:return c=$fe("body",t,n,r),l=$fe("cond",t,n,r),h=$fe("args",t,n,r),e.next=20,r.functionMap[l].executeFunctionAsync(h,r.tensorArrayMap,r.tensorListMap);case 20:return p=e.sent,f=h.map((function(e){return e.id})),e.next=24,p[0].data();case 24:d=e.sent,p.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||e.dispose()})),v=h,m=o().mark((function e(){var t,n,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=v,e.next=3,r.functionMap[c].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 3:return v=e.sent,n=v.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[l].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 8:return a=e.sent,e.next=11,a[0].data();case 11:d=e.sent,a.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 28:if(!d[0]){e.next=32;break}return e.delegateYield(m(),"t1",30);case 30:e.next=28;break;case 32:return e.abrupt("return",v);case 33:return g=$fe("pred",t,n,r),e.abrupt("return",[ode(g)]);case 35:return y=$fe("pred",t,n,r),(b=$fe("data",t,n,r)).kept||(b=ode(b)),e.next=40,y.data();case 40:if(!e.sent[0]){e.next=44;break}e.t2=[void 0,b],e.next=45;break;case 44:e.t2=[b,void 0];case 45:return e.abrupt("return",e.t2);case 46:if(x=t.inputNames.find((function(e){return void 0!==ede(e,n,r)})),!x){e.next=50;break}return k=ede(x,n,r),e.abrupt("return",[ode(k)]);case 50:return e.abrupt("return",void 0);case 51:return w=$fe("frameName",t,n,r),I=$fe("tensor",t,n,r),r.enterFrame(w),e.abrupt("return",[ode(I)]);case 55:return N=$fe("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[ode(N)]);case 58:return S=$fe("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[ode(S)]);case 61:return T=$fe("size",t,n,r),E=$fe("dtype",t,n,r),C=$fe("elementShape",t,n,r),A=$fe("dynamicSize",t,n,r),R=$fe("clearAfterRead",t,n,r),_=$fe("identicalElementShapes",t,n,r),O=$fe("name",t,n,r),F=new Yde(O,E,T,C,_,A,R),r.addTensorArray(F),e.abrupt("return",[F.idTensor,Z7(1)]);case 71:return D=$fe("tensorArrayId",t,n,r),M=$fe("index",t,n,r),L=$fe("tensor",t,n,r),(z=r.getTensorArray(D.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=$fe("tensorArrayId",t,n,r),B=$fe("index",t,n,r),W=r.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return V=$fe("tensorArrayId",t,n,r),U=$fe("indices",t,n,r),G=$fe("dtype",t,n,r),j=r.getTensorArray(V.id),e.abrupt("return",[j.gather(U,G)]);case 86:return H=$fe("tensorArrayId",t,n,r),q=$fe("indices",t,n,r),K=$fe("tensor",t,n,r),(X=r.getTensorArray(H.id)).scatter(q,K),e.abrupt("return",[X.idTensor]);case 92:return Y=$fe("tensorArrayId",t,n,r),J=r.getTensorArray(Y.id),Z=$fe("dtype",t,n,r),e.abrupt("return",[J.concat(Z)]);case 96:return Q=$fe("tensorArrayId",t,n,r),$=$fe("tensor",t,n,r),ee=$fe("lengths",t,n,r),(te=r.getTensorArray(Q.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=$fe("tensorArrayId",t,n,r),re=r.getTensorArray(ne.id),e.abrupt("return",[Z7(re.size(),"int32")]);case 105:return ae=$fe("tensorArrayId",t,n,r),(ie=r.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=$fe("tensorListId",t,n,r),se=$fe("index",t,n,r),ue=$fe("tensor",t,n,r),(ce=r.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=$fe("tensorListId",t,n,r),he=$fe("index",t,n,r),pe=$fe("elementShape",t,n,r),fe=$fe("elementDType",t,n,r),de=r.getTensorList(le.id),e.abrupt("return",[de.getItem(he,pe,fe)]);case 121:return ve=$fe("indices",t,n,r),me=$fe("tensor",t,n,r),ge=$fe("elementShape",t,n,r),ye=$fe("numElements",t,n,r),be=$de(me,ve,ge,ye),r.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return xe=$fe("elementShape",t,n,r),ke=$fe("elementDType",t,n,r),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Ie=$fe(we,t,n,r),Ne="TensorListReserve"===t.op?-1:Ie,Se=Qde(xe,ke,0,Ne),r.addTensorList(Se),e.abrupt("return",[Se.idTensor]);case 136:return Te=$fe("tensorListId",t,n,r),Ee=$fe("indices",t,n,r),Ce=$fe("elementShape",t,n,r),Ae=$fe("elementDType",t,n,r),Re=r.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ee,Ae,Ce)]);case 142:return _e=$fe("tensorListId",t,n,r),Oe=$fe("elementShape",t,n,r),Fe=$fe("elementDType",t,n,r),De=$fe("numElements",t,n,r),Me=r.getTensorList(_e.id),e.abrupt("return",[Me.stack(Oe,Fe,De)]);case 148:return Le=$fe("tensor",t,n,r),ze=$fe("elementShape",t,n,r),Pe=$fe("elementDType",t,n,r),Be=Zde(Le,ze,Pe),r.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=$fe("tensorListId",t,n,r),Ve=r.getTensorList(We.id),Ue=$fe("dtype",t,n,r),Ge=$fe("elementShape",t,n,r),e.abrupt("return",[Ve.concat(Ue,Ge)]);case 159:return je=$fe("tensorListId",t,n,r),He=$fe("tensor",t,n,r),(qe=r.getTensorList(je.id)).pushBack(He),e.abrupt("return",[qe.idTensor]);case 164:return Ke=$fe("tensorListId",t,n,r),Xe=$fe("elementShape",t,n,r),Ye=$fe("elementDType",t,n,r),Je=r.getTensorList(Ke.id),e.abrupt("return",[Je.popBack(Xe,Ye)]);case 169:return Ze=$fe("tensor",t,n,r),Qe=$fe("elementShape",t,n,r),$e=$fe("lengths",t,n,r),et=eve(Ze,$e,Qe),r.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=$fe("tensorListId",t,n,r),nt=r.getTensorList(tt.id),e.abrupt("return",[Z7(nt.size(),"int32")]);case 178:return rt=$fe("tensorListId",t,n,r),at=$fe("size",t,n,r),it=r.getTensorList(rt.id),ot=it.resize(at),r.addTensorList(ot),e.abrupt("return",[ot.idTensor]);case 184:throw TypeError("Node type ".concat(t.op," is not implemented"));case 185:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function nve(e,t,n){var r=S($fe("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=$fe("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var h=$fe("strides",e,t,n),p=ide(e,t,n),f=$fe("dataFormat",e,t,n).toUpperCase(),d=$fe("dilations",e,t,n),v=S($fe("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:p,dataFormat:f,dilations:d,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:$fe("leakyreluAlpha",e,t,n)}}var rve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Conv1D":var a=$fe("stride",e,t,n),i=$fe("pad",e,t,n),o=$fe("dataFormat",e,t,n).toUpperCase(),s=$fe("dilation",e,t,n);return[r.conv1d($fe("x",e,t,n),$fe("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=$fe("strides",e,t,n),c=ide(e,t,n),l=$fe("dataFormat",e,t,n).toUpperCase(),h=$fe("dilations",e,t,n);return[r.conv2d($fe("x",e,t,n),$fe("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=nve(e,t,n),f=p.stride,d=p.pad,v=p.dataFormat,m=p.dilations,g=p.biasArg,y=p.preluArg,b=p.activationFunc,x=p.leakyreluAlpha;return[r.fused.conv2d({x:$fe("x",e,t,n),filter:$fe("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:v,dilations:[m[1],m[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var k=nve(e,t,n),w=k.stride,I=k.pad,N=k.dataFormat,S=k.dilations,T=k.biasArg,E=k.preluArg,C=k.activationFunc,A=k.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:$fe("x",e,t,n),filter:$fe("filter",e,t,n),strides:[w[1],w[2]],pad:I,dataFormat:N,dilations:[S[1],S[2]],bias:T,activation:C,preluActivationWeights:E,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=$fe("outputShape",e,t,n),_=$fe("strides",e,t,n),O=ide(e,t,n);return[r.conv2dTranspose($fe("x",e,t,n),$fe("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=$fe("strides",e,t,n),D=ide(e,t,n),M=$fe("dilations",e,t,n),L=$fe("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d($fe("input",e,t,n),$fe("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=$fe("strides",e,t,n),P=$fe("pad",e,t,n),B=$fe("dataFormat",e,t,n).toUpperCase(),W=$fe("dilations",e,t,n);return[r.conv3d($fe("x",e,t,n),$fe("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=$fe("strides",e,t,n),U=$fe("pad",e,t,n),G=$fe("kernelSize",e,t,n);return[r.avgPool($fe("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=$fe("strides",e,t,n),H=$fe("pad",e,t,n),q=$fe("kernelSize",e,t,n);return[r.maxPool($fe("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=$fe("strides",e,t,n),X=$fe("pad",e,t,n),Y=$fe("kernelSize",e,t,n),J=$fe("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax($fe("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J),Q=Z.result,$=Z.indexes;return[Q,$];case"AvgPool3D":var ee=$fe("strides",e,t,n),te=$fe("pad",e,t,n),ne=$fe("kernelSize",e,t,n);return[r.avgPool3d($fe("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"MaxPool3D":var re=$fe("strides",e,t,n),ae=$fe("pad",e,t,n),ie=$fe("kernelSize",e,t,n);return[r.maxPool3d($fe("x",e,t,n),[ie[1],ie[2],ie[3]],[re[1],re[2],re[3]],ae)];case"Dilation2D":var oe=$fe("strides",e,t,n),se=$fe("pad",e,t,n),ue=$fe("dilations",e,t,n),ce=oe[1],le=oe[2],he=ue[1],pe=ue[2];return[r.dilation2d($fe("x",e,t,n),$fe("filter",e,t,n),[ce,le],se,[he,pe],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},ave=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Fill":var a=$fe("shape",e,t,n),i=$fe("dtype",e,t,n),o=$fe("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=$fe("start",e,t,n),u=$fe("stop",e,t,n),c=$fe("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=$fe("logits",e,t,n),h=$fe("numSamples",e,t,n),p=$fe("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var f=$fe("indices",e,t,n),d=$fe("depth",e,t,n),v=$fe("onValue",e,t,n),m=$fe("offValue",e,t,n),g=$fe("dtype",e,t,n);return[r.oneHot(f,d,v,m,g)];case"Ones":return[r.ones($fe("shape",e,t,n),$fe("dtype",e,t,n))];case"OnesLike":return[r.onesLike($fe("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal($fe("shape",e,t,n),$fe("dtype",e,t,n),$fe("seed",e,t,n))];case"RandomUniform":return[r.randomUniform($fe("shape",e,t,n),$fe("minval",e,t,n),$fe("maxval",e,t,n),$fe("dtype",e,t,n))];case"RandomUniformInt":return[r.randomUniformInt($fe("shape",e,t,n),$fe("minval",e,t,n),$fe("maxval",e,t,n),$fe("seed",e,t,n))];case"Range":var y=$fe("start",e,t,n),b=$fe("stop",e,t,n),x=$fe("step",e,t,n);return[r.range(y,b,x,$fe("dtype",e,t,n))];case"TruncatedNormal":var k=$fe("shape",e,t,n),w=$fe("mean",e,t,n),I=$fe("stdDev",e,t,n),N=$fe("seed",e,t,n);return[r.truncatedNormal(k,w,I,$fe("dtype",e,t,n),N)];case"Zeros":return[r.zeros($fe("shape",e,t,n),$fe("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function ive(e,t,n){return{boxes:$fe("boxes",e,t,n),scores:$fe("scores",e,t,n),maxOutputSize:$fe("maxOutputSize",e,t,n),iouThreshold:$fe("iouThreshold",e,t,n),scoreThreshold:$fe("scoreThreshold",e,t,n),softNmsSigma:$fe("softNmsSigma",e,t,n)}}var ove=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=_.length>4&&void 0!==_[4]?_[4]:Ude,e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return s=ive(t,n,r),u=s.boxes,c=s.scores,l=s.maxOutputSize,h=s.iouThreshold,p=s.scoreThreshold,f=s.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(u,c,l,h,p,f);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return v=ive(t,n,r),m=v.boxes,g=v.scores,y=v.maxOutputSize,b=v.iouThreshold,x=v.scoreThreshold,k=$fe("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,g,y,b,x,k);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return I=ive(t,n,r),N=I.boxes,S=I.scores,T=I.maxOutputSize,E=I.iouThreshold,C=I.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,S,T,E,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return A=i.cast($fe("condition",t,n,r),"bool"),e.next=23,i.whereAsync(A);case 23:return e.t2=e.sent,R=[e.t2],A.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",i.setdiff1dAsync($fe("x",t,n,r),$fe("y",t,n,r)));case 28:throw TypeError("Node type ".concat(t.op," is not implemented"));case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),sve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"LowerBound":var a=$fe("sortedSequence",e,t,n),i=$fe("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=$fe("x",e,t,n),s=$fe("k",e,t,n),u=$fe("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=$fe("sortedSequence",e,t,n),h=$fe("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=$fe("x",e,t,n),f=r.unique(p);return[f.values,f.indices];case"UniqueV2":var d=$fe("x",e,t,n),v=$fe("axis",e,t,n),m=r.unique(d,v);return[m.values,m.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},uve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=$fe("default",e,t,n);return[ede(e.name,t,n)||a];case"Placeholder":return[ede(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":var i=$fe("x",e,t,n);return[ode(i)];case"IdentityN":return $fe("x",e,t,n).map((function(e){return ode(e)}));case"Snapshot":var o=$fe("x",e,t,n);return[ode(o)];case"Shape":return[r.tensor1d($fe("x",e,t,n).shape,"int32")];case"ShapeN":return $fe("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar($fe("x",e,t,n).size,"int32")];case"Rank":return[r.scalar($fe("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var s=$fe("x",e,t,n),u=$fe("data",e,t,n),c=$fe("message",e,t,n),l=$fe("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var h=0;h<u.length;h++)console.log(Array.prototype.slice.call(u[h].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},cve=function(){function e(t,n){l(this,e),this.keyDType=t,this.valueDType=n,this.handle=Z7(0),this.tensorMap=new Map,n8(this.handle)}var t,n;return p(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return Z7(this.size(),"int32")}},{key:"import",value:(n=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",e8((function(){var e=Yte(n),t=r.length,i=e.length;F$(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];n8(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"find",value:(t=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",e8((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return Rte(e)})));case 5:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),lve=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return s=$fe("keyDType",t,n,r),u=$fe("valueDType",t,n,r),c=new cve(s,u),a.addHashTable(t.name,c),e.abrupt("return",[c.handle]);case 13:return l=$fe("tableHandle",t,n,r,a),h=$fe("keys",t,n,r),p=$fe("values",t,n,r),f=a.getHashTableById(l.id),e.next=19,f.import(h,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return d=$fe("tableHandle",t,n,r,a),v=$fe("keys",t,n,r),m=$fe("defaultValue",t,n,r),g=a.getHashTableById(d.id),e.next=27,g.find(v,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return y=$fe("tableHandle",t,n,r,a),b=a.getHashTableById(y.id),e.abrupt("return",[b.tensorSize()]);case 32:throw TypeError("Node type ".concat(t.op," is not implemented"));case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),hve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"ResizeBilinear":var a=$fe("images",e,t,n),i=$fe("size",e,t,n),o=$fe("alignCorners",e,t,n),s=$fe("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=$fe("images",e,t,n),c=$fe("size",e,t,n),l=$fe("alignCorners",e,t,n),h=$fe("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=$fe("image",e,t,n),f=$fe("boxes",e,t,n),d=$fe("boxInd",e,t,n),v=$fe("cropSize",e,t,n),m=$fe("method",e,t,n),g=$fe("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,f,d,v,m,g)];case"ImageProjectiveTransformV3":var y=$fe("images",e,t,n),b=$fe("transforms",e,t,n),x=$fe("outputShape",e,t,n),k=$fe("fillValue",e,t,n),w=$fe("interpolation",e,t,n),I=$fe("fillMode",e,t,n);return[r.image.transform(y,b,w.toLowerCase(),I.toLowerCase(),k,x)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},pve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Equal":return[r.equal($fe("a",e,t,n),$fe("b",e,t,n))];case"NotEqual":return[r.notEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"Greater":return[r.greater($fe("a",e,t,n),$fe("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"Less":return[r.less($fe("a",e,t,n),$fe("b",e,t,n))];case"LessEqual":return[r.lessEqual($fe("a",e,t,n),$fe("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd($fe("a",e,t,n),$fe("b",e,t,n))];case"LogicalNot":return[r.logicalNot($fe("a",e,t,n))];case"LogicalOr":return[r.logicalOr($fe("a",e,t,n),$fe("b",e,t,n))];case"Select":case"SelectV2":return[r.where($fe("condition",e,t,n),$fe("a",e,t,n),$fe("b",e,t,n))];case"BitwiseAnd":return[r.bitwiseAnd($fe("a",e,t,n),$fe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},fve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul($fe("a",e,t,n),$fe("b",e,t,n),$fe("transposeA",e,t,n),$fe("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[$fe("equation",e,t,n)].concat(T($fe("tensors",e,t,n))))];case"Transpose":return[r.transpose($fe("x",e,t,n),$fe("perm",e,t,n))];case"_FusedMatMul":var a=$fe("fusedOps",e,t,n),i=S(a,2),o=i[0],s=i[1],u="biasadd"===o,c="prelu"===s,l=$fe("numArgs",e,t,n),h=$fe("leakyreluAlpha",e,t,n);if(u){if(c&&2!==l)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==l)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var p=$fe("args",e,t,n),f=S(p,2),d=f[0],v=f[1];return[r.fused.matMul({a:$fe("a",e,t,n),b:$fe("b",e,t,n),transposeA:$fe("transposeA",e,t,n),transposeB:$fe("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:v,leakyreluAlpha:h})];case"MatrixBandPart":return[r.linalg.bandPart($fe("a",e,t,n),$fe("numLower",e,t,n),$fe("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},dve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm($fe("x",e,t,n),$fe("axis",e,t,n),$fe("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm($fe("x",e,t,n),$fe("mean",e,t,n),$fe("variance",e,t,n),$fe("offset",e,t,n),$fe("scale",e,t,n),$fe("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization($fe("x",e,t,n),$fe("radius",e,t,n),$fe("bias",e,t,n),$fe("alpha",e,t,n),$fe("beta",e,t,n))];case"Softmax":return[r.softmax($fe("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},vve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"RaggedGather":var a=r.raggedGather($fe("paramsNestedSplits",e,t,n),$fe("paramsDenseValues",e,t,n),$fe("indices",e,t,n),$fe("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange($fe("starts",e,t,n),$fe("limits",e,t,n),$fe("splits",e,t,n)),u=s.rtNestedSplits,c=s.rtDenseValues;return[u,c];case"RaggedTensorToTensor":return[r.raggedTensorToTensor($fe("shape",e,t,n),$fe("values",e,t,n),$fe("defaultValue",e,t,n),$fe("rowPartitionTensors",e,t,n),$fe("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},mve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Max":var a=$fe("axis",e,t,n),i=$fe("keepDims",e,t,n);return[r.max($fe("x",e,t,n),a,i)];case"Mean":var o=$fe("axis",e,t,n),s=$fe("keepDims",e,t,n);return[r.mean($fe("x",e,t,n),o,s)];case"Min":var u=$fe("axis",e,t,n),c=$fe("keepDims",e,t,n);return[r.min($fe("x",e,t,n),u,c)];case"Sum":var l=$fe("axis",e,t,n),h=$fe("keepDims",e,t,n);return[r.sum($fe("x",e,t,n),l,h)];case"All":var p=$fe("axis",e,t,n),f=$fe("keepDims",e,t,n);return[r.all($fe("x",e,t,n),p,f)];case"Any":var d=$fe("axis",e,t,n),v=$fe("keepDims",e,t,n);return[r.any($fe("x",e,t,n),d,v)];case"ArgMax":var m=$fe("axis",e,t,n);return[r.argMax($fe("x",e,t,n),m)];case"ArgMin":var g=$fe("axis",e,t,n);return[r.argMin($fe("x",e,t,n),g)];case"Prod":var y=$fe("axis",e,t,n),b=$fe("keepDims",e,t,n);return[r.prod($fe("x",e,t,n),y,b)];case"Cumprod":var x=$fe("axis",e,t,n),k=$fe("exclusive",e,t,n),w=$fe("reverse",e,t,n);return[r.cumprod($fe("x",e,t,n),x,k,w)];case"Cumsum":var I=$fe("axis",e,t,n),N=$fe("exclusive",e,t,n),S=$fe("reverse",e,t,n);return[r.cumsum($fe("x",e,t,n),I,N,S)];case"Bincount":var T=$fe("x",e,t,n),E=$fe("weights",e,t,n),C=$fe("size",e,t,n);return[r.bincount(T,E,C)];case"DenseBincount":var A=$fe("x",e,t,n),R=$fe("weights",e,t,n),_=$fe("size",e,t,n),O=$fe("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},gve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"ConcatV2":case"Concat":var a=$fe("n",e,t,n),i=$fe("axis",e,t,n),o=$fe("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=$fe("x",e,t,n),u=$fe("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=$fe("axis",e,t,n),l=$fe("batchDims",e,t,n),h=$fe("x",e,t,n),p=$fe("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var f=$fe("dims",e,t,n),d=[],v=0;v<f.length;v++)f[v]&&d.push(v);var m=$fe("x",e,t,n);return[r.reverse(m,d)];case"ReverseV2":var g=$fe("axis",e,t,n),y=$fe("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=$fe("begin",e,t,n),x=$fe("size",e,t,n);return[r.slice($fe("x",e,t,n),b,x)];case"StridedSlice":var k=$fe("begin",e,t,n),w=$fe("end",e,t,n),I=$fe("strides",e,t,n),N=$fe("beginMask",e,t,n),S=$fe("endMask",e,t,n),T=$fe("ellipsisMask",e,t,n),E=$fe("newAxisMask",e,t,n),C=$fe("shrinkAxisMask",e,t,n),A=$fe("x",e,t,n);return[r.stridedSlice(A,k,w,I,N,S,T,E,C)];case"Pack":return e8((function(){var a=$fe("axis",e,t,n),i=$fe("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=P$(e.shape,o);if(!t&&!P$(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var R=$fe("axis",e,t,n),_=$fe("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=$fe("reps",e,t,n);return[r.tile($fe("x",e,t,n),O)];case"Split":case"SplitV":var F=$fe("axis",e,t,n),D=$fe("numOrSizeSplits",e,t,n),M=$fe("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=$fe("indices",e,t,n),z=$fe("values",e,t,n),P=$fe("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=$fe("x",e,t,n),W=$fe("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=$fe("sparseIndices",e,t,n),U=$fe("outputShape",e,t,n),G=$fe("sparseValues",e,t,n),j=$fe("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=$fe("indices",e,t,n),q=$fe("values",e,t,n),K=$fe("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},yve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows($fe("indices",e,t,n),$fe("values",e,t,n),$fe("denseShape",e,t,n),$fe("defaultValue",e,t,n)),i=a.outputIndices,o=a.outputValues,s=a.emptyRowIndicator,u=a.reverseIndexMap;return[i,o,s,u];case"SparseReshape":var c=r.sparse.sparseReshape($fe("inputIndices",e,t,n),$fe("inputShape",e,t,n),$fe("newShape",e,t,n)),l=c.outputIndices,h=c.outputShape;return[l,h];case"SparseSegmentMean":var p=r.sparse.sparseSegmentMean($fe("data",e,t,n),$fe("indices",e,t,n),$fe("segmentIds",e,t,n));return[p];case"SparseSegmentSum":var f=r.sparse.sparseSegmentSum($fe("data",e,t,n),$fe("indices",e,t,n),$fe("segmentIds",e,t,n));return[f];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},bve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"FFT":return[r.fft($fe("x",e,t,n))];case"IFFT":return[r.ifft($fe("x",e,t,n))];case"RFFT":return[r.rfft($fe("x",e,t,n))];case"IRFFT":return[r.irfft($fe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},xve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace($fe("input",e,t,n),$fe("pattern",e,t,n),$fe("rewrite",e,t,n),$fe("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams($fe("data",e,t,n),$fe("dataSplits",e,t,n),$fe("separator",e,t,n),$fe("nGramWidths",e,t,n),$fe("leftPad",e,t,n),$fe("rightPad",e,t,n),$fe("padWidth",e,t,n),$fe("preserveShortSequences",e,t,n)),i=a.nGrams,o=a.nGramsSplits;return[i,o];case"StringSplit":var s=r.string.stringSplit($fe("input",e,t,n),$fe("delimiter",e,t,n),$fe("skipEmpty",e,t,n)),u=s.indices,c=s.values,l=s.shape;return[u,c,l];case"StringToHashBucketFast":var h=r.string.stringToHashBucketFast($fe("input",e,t,n),$fe("numBuckets",e,t,n));return[h];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},kve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Ude;switch(e.op){case"Cast":return[r.cast($fe("x",e,t,n),$fe("dtype",e,t,n))];case"ExpandDims":var a=$fe("axis",e,t,n);return[r.expandDims($fe("x",e,t,n),a)];case"Squeeze":var i=$fe("axis",e,t,n);return[r.squeeze($fe("x",e,t,n),i)];case"Reshape":return[r.reshape($fe("x",e,t,n),$fe("shape",e,t,n))];case"EnsureShape":return[r.ensureShape($fe("x",e,t,n),$fe("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad($fe("x",e,t,n),$fe("padding",e,t,n),$fe("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad($fe("x",e,t,n),$fe("padding",e,t,n),$fe("constantValue",e,t,n))];case"SpaceToBatchND":var o=$fe("blockShape",e,t,n),s=$fe("paddings",e,t,n);return[r.spaceToBatchND($fe("x",e,t,n),o,s)];case"BatchToSpaceND":var u=$fe("blockShape",e,t,n),c=$fe("crops",e,t,n);return[r.batchToSpaceND($fe("x",e,t,n),u,c)];case"DepthToSpace":var l=$fe("blockSize",e,t,n),h=$fe("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace($fe("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo($fe("x",e,t,n),$fe("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs($fe("s0",e,t,n),$fe("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function wve(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e8,i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return Gde(e,t,n)}));case"basic_math":return a((function(){return jde(e,t,n)}));case"control":return tve(e,t,n);case"convolution":return a((function(){return rve(e,t,n)}));case"creation":return a((function(){return ave(e,t,n)}));case"dynamic":return ove(e,t,n);case"evaluation":return a((function(){return sve(e,t,n)}));case"image":return a((function(){return hve(e,t,n)}));case"graph":return a((function(){return uve(e,t,n)}));case"logical":return a((function(){return pve(e,t,n)}));case"matrices":return a((function(){return fve(e,t,n)}));case"normalization":return a((function(){return dve(e,t,n)}));case"ragged":return a((function(){return vve(e,t,n)}));case"reduction":return a((function(){return mve(e,t,n)}));case"slice_join":return a((function(){return gve(e,t,n)}));case"sparse":return a((function(){return yve(e,t,n)}));case"spectral":return a((function(){return bve(e,t,n)}));case"string":return a((function(){return xve(e,t,n)}));case"transformation":return a((function(){return kve(e,t,n)}));case"hash_table":return lve(e,t,n,r);case"custom":var i=Qfe(e.op);if(i&&i.customExecutor)return i.customExecutor(new Vde(e,t,n));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return v0(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var Ive=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=arguments.length>4?arguments[4]:void 0;l(this,e),this.weightMap=t,this.tensorArrayMap=n,this.tensorListMap=r,this.functionMap=a,this.parseNodeNameCache=i,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return p(e,[{key:"newFrame",value:function(e,t){return{id:e,frameName:t,iterationId:0}}},{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}},{key:"generateCurrentContextIds",value:function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e}},{key:"contextIdforContexts",value:function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""}},{key:"enterFrame",value:function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}},{key:"exitFrame",value:function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}},{key:"nextIteration",value:function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}},{key:"getWeight",value:function(e){return this.weightMap[e]}},{key:"addTensorArray",value:function(e){this.tensorArrayMap[e.id]=e}},{key:"getTensorArray",value:function(e){return this.tensorArrayMap[e]}},{key:"addTensorList",value:function(e){this.tensorListMap[e.id]=e}},{key:"getTensorList",value:function(e){return this.tensorListMap[e]}},{key:"dispose",value:function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)}}]),e}();function Nve(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,c=new Set(Object.keys(e).map((function(e){return ade(e)[0]})));r=r||[];for(var l=new Set(r.map((function(e){return ade(e.name)[0]}))),h=T(t);h.length>0;){var p=h.pop();(Rve(p)||_ve(p)||Ove(p))&&null==o&&(s=(o=p).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(p.name),null==n[p.name]&&(c.has(p.name)||l.has(p.name)||(0!==p.inputs.length?p.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),h.push(e))})):i.push(p.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}function Sve(e,t){var n=t.usedNodes,r=t.inputs,a=Object.keys(r).map((function(e){return ade(e)[0]})).map((function(t){return e.nodes[t]})),i=e.initNodes||[],o=function(e){return n.has("string"==typeof e?e:e.name)};function s(e){return T(new Map(e.map((function(e){return[e.name,e]}))).values())}var u,c=s([].concat(T(a),T(e.weights),T(i))).filter(o),l=s([].concat(T(c),T(Object.values(e.nodes)))).filter(o),h=new Map(l.map((function(e){return[e.name,e]}))),p={},f=O(l);try{for(f.s();!(u=f.n()).done;){var d=u.value;p[d.name]=p[d.name]||0;var v,m=O(d.children);try{for(m.s();!(v=m.n()).done;){var g=v.value;o(g)||(p[g.name]=Number.POSITIVE_INFINITY),p[g.name]=(p[g.name]||0)+1}}catch(e){m.e(e)}finally{m.f()}}}catch(e){f.e(e)}finally{f.f()}for(var y=Object.entries(p).filter((function(e){return 0===S(e,2)[1]})).map((function(e){return S(e,1)[0]})),b=T(y);y.length>0;){var x,k=y.pop(),w=O(h.get(k).children.filter(o));try{for(w.s();!(x=w.n()).done;){var I=x.value;0==--p[I.name]&&(b.push(I.name),y.push(I.name))}}catch(e){w.e(e)}finally{w.f()}}var N=function(e,t){var n=new Map(e.map((function(e){return[e.name,e]}))),r=t.map((function(e){return e.name})),a=new Set(r);for(;r.length>0;){var i,o=r.pop(),s=O(n.get(o).children);try{for(s.s();!(i=s.n()).done;){var u=i.value;n.has(u.name)&&!a.has(u.name)&&(a.add(u.name),r.push(u.name))}}catch(e){s.e(e)}finally{s.f()}}var c=e.filter((function(e){return a.has(e.name)}));return c}(b.map((function(e){return h.get(e)})),c);return function(e,t){var n,r=new Map(e.map((function(e,t){return[e.name,t]}))),a=new Set(t.map((function(e){return e.name}))),i=function(e){return a.has("string"==typeof e?e:e.name)},o=new Set(e.map((function(e){return e.name}))),s=function(e){return o.has("string"==typeof e?e:e.name)},u=O(e);try{for(u.s();!(n=u.n()).done;){var c,l=n.value,h=O(l.children.filter(s));try{for(h.s();!(c=h.n()).done;){var p=c.value;if(!r.has(p.name))throw new Tve("Child ".concat(p.name," of node ").concat(l.name," is unreachable."));if(r.get(l.name)>r.get(p.name))throw new Tve("Node ".concat(l.name," is scheduled to run after its child ").concat(p.name,"."))}}catch(e){h.e(e)}finally{h.f()}if(!i(l)){var f,d=O(l.inputs);try{for(d.s();!(f=d.n()).done;){var v=f.value;if(!r.has(v.name))throw new Tve("Input ".concat(v.name," of node ").concat(l.name," is unreachable."));if(r.get(v.name)>r.get(l.name))throw new Tve("Node ".concat(l.name," is scheduled to run before its input ").concat(v.name,"."))}}catch(e){d.e(e)}finally{d.f()}}}}catch(e){u.e(e)}finally{u.f()}}(N,c),N}var Tve=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,"NodesExecutionOrderError: ".concat(e))}return p(n)}(b(Error));var Eve=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),Cve=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),Ave=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function Rve(e){return Eve.has(e.op)}function _ve(e){return Cve.has(e.op)}function Ove(e){return Ave.has(e.op)}var Fve=function(){function e(t,n){var r=this;l(this,e),this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t,n,r,a;return p(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,T(n)),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}},{key:"getCompilationKey",value:function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)}},{key:"compile",value:function(e,t){var n=Nve(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(i,"]"));if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(s,"]. Missing the following inputs: [").concat(r,"]"))}var u=Sve(this.graph,n),c=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return Rve(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},i=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),o=new Map,s=0;s<e.length;++s){var u=i[s];if(u!==n){var c=e[s],l=e[u];o.has(l.name)||o.set(l.name,[]),o.get(l.name).push(c)}}return o}(u);return{orderedNodes:u,nodeLiveUntilMap:c}}},{key:"cloneAndKeepTensor",value:function(e){if(null==e)return null;var t=e.clone();return n8(t),t}},{key:"cloneTensorList",value:function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n}},{key:"cloneTensorMap",value:function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=S(e,2),r=n[0],a=n[1];return[r,t.cloneTensorList(a)]})))}},{key:"execute",value:function(e,t){var n=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[ade(e)[0]]})),i=t.map((function(e){return ade(e)[0]})),o=new Set(i),s=i.map((function(e){return n.graph.nodes[e]}));0===s.length&&(s=this._outputs);var u=this.getCompilationKey(a,s),c=this.compiledMap.get(u);null==c&&(c=this.compile(e,s),this.compiledMap.set(u,c));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},h={};return e8((function(){var r=new Ive(n.weightMap,l,h,n.functionExecutorMap,n.parseNodeNameCache),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var i=S(ade(t,r),2),o=i[0],s=[];s[i[1]]=e[t],a[o]=s,n.keepIntermediateTensors&&(n.clonedTensorsMap[o]=n.cloneTensorList(s))}));var i,s=n.getFrozenTensorIds(a),u=c,p=u.orderedNodes,f=u.nodeLiveUntilMap,d=O(p);try{for(d.s();!(i=d.n()).done;){var v=i.value;if(!a[v.name]){var m=wve(v,a,r,n._resourceManager);if(v0(m))throw new Error("The execution of the op '".concat(v.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[v.name]=m,n.keepIntermediateTensors&&(n.clonedTensorsMap[v.name]=n.cloneTensorList(m)),n.checkTensorForDisposalWithNodeLiveUntilInfo(v,a,r,s,o,f.get(v.name))}}}catch(e){d.e(e)}finally{d.f()}return null==n.parent&&r.dispose(s),t.map((function(e){return ede(e,a,r)}))}))}},{key:"getFrozenTensorIds",value:function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)}},{key:"checkTensorForDisposal",value:function(e,t,n,r,a,i,o){if(!Rve(t)&&!i.has(e)){var s,u=O(n[e]);try{for(u.s();!(s=u.n()).done;){var c=s.value;null!=c&&(o[c.id]=(o[c.id]||0)+t.children.length)}}catch(e){u.e(e)}finally{u.f()}var l,h=O(t.inputs);try{for(h.s();!(l=h.n()).done;){var p=l.value;if(!Rve(p)){var f=tde(p.name,n,r);if(null!=f){var d,v=O(f);try{for(v.s();!(d=v.n()).done;){var m=d.value;if(m&&!m.kept&&!a.has(m.id)){var g=o[m.id];1===g?(m.dispose(),delete o[m.id]):null!=g&&o[m.id]--}}}catch(e){v.e(e)}finally{v.f()}}}}}catch(e){h.e(e)}finally{h.f()}}}},{key:"checkTensorForDisposalWithNodeLiveUntilInfo",value:function(e,t,n,r,a,i){function o(e){return Rve(e)||a.has(e.name)}if(!Rve(e)&&null!=i){var s,u=O(i);try{for(u.s();!(s=u.n()).done;){var c=s.value;if(!o(c)){var l,h=O(tde(c.name,t,n));try{for(h.s();!(l=h.n()).done;){var p=l.value;!p||p.kept||r.has(p.id)||p.dispose()}}catch(e){h.e(e)}finally{h.f()}}}}catch(e){u.e(e)}finally{u.f()}}}},{key:"executeAsync",value:(a=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n=O(e);try{for(n.s();!(t=n.n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}}catch(e){n.e(e)}finally{n.f()}})),this.clonedTensorsMap=null)}},{key:"getIntermediateTensors",value:function(){return this.clonedTensorsMap}},{key:"_executeAsync",value:(r=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=f.length>2&&void 0!==f[2]&&f[2],a=f.length>3&&void 0!==f[3]?f[3]:{},i=f.length>4&&void 0!==f[4]?f[4]:{},this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new Ive(this.weightMap,a,i,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,s,n,r);case 10:return u=e.sent,c=n.map((function(e){return ede(e,u,s)})),l=c.map((function(e){return e.id})),h=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(T(l),T(h),T(this.weightIds))),Object.values(u).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(p),e.abrupt("return",c);case 18:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"executeFunctionAsync",value:(n=c(o().mark((function e(t,n,r){var a,i=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)}))),function(e,t,r){return n.apply(this,arguments)})},{key:"executeWithControlFlow",value:(t=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),s=i.map((function(e){return N.graph.nodes[ade(e)[0]]})),u=r.map((function(e){return ade(e)[0]})),c=new Set(u),0===(l=u.map((function(e){return N.graph.nodes[e]}))).length&&(l=this._outputs),h=Nve(t,l,this.weightMap,this._initNodes),p=h.usedNodes,f=h.missingInputs,d=h.dynamicNode,v=h.syncInputs,m=[].concat(T(s),T(this.graph.weights),T(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),g=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=S(ade(e),2),r=n[0],a=[];a[n[1]]=t[e],g[r]=a})),y={},b=this.getFrozenTensorIds(g),x={};case 13:if(!(m.length>0)){e.next=19;break}return k=this.processStack(s,m,n,g,x,b,c,y,p),e.next=17,Promise.all(k);case 17:e.next=13;break;case 19:if(null!=d||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),w=l.filter((function(e){return!Rve(e)&&!ede(e.name,g,n)})).map((function(e){return e.name})),!(w.length>0)){e.next=25;break}throw I="",null!=d&&(I="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(v,"]")),new Error("Cannot compute the outputs [".concat(w,"] from the provided ")+"inputs [".concat(i,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(I));case 25:return e.abrupt("return",g);case 26:case"end":return e.stop()}}),e,this)}))),function(e,n,r,a){return t.apply(this,arguments)})},{key:"processStack",value:function(e,t,n,r,a,i,o,s,u){for(var c=this,l=[],h=function(){var e=t.pop();n.currentContext=e.contexts;var h="";if("Enter"===e.node.op&&$fe("isConstant",e.node,r,n)){var p=S(nde(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var f=wve(e.node,r,n,c._resourceManager);if(!h){var d=S(nde(e.node.name,n),1);h=d[0]}var v=n.currentContext;v0(f)?l.push(f.then((function(l){return r[h]=l,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(l)),n.currentContext=v,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u),l}))):(r[h]=f,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(f)),c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u))}else c.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)h();return l}},{key:"processChildNodes",value:function(e,t,n,r,a,i){e.children.forEach((function(e){var o=S(nde(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!ede(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!ede(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=S(ade(n),1)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));F$(s,(function(){return"The shape of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(r.shape,"]")}))}i.attrParams.dtype&&i.attrParams.dtype.value&&F$(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(i.attrParams.dtype.value,", but was ").concat(r.dtype)}))}))}},{key:"mapInputs",value:function(e){var t,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r}},{key:"checkInputs",value:function(e){var t=this,n=Object.keys(e).filter((function(e){var n=S(ade(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach((function(e){var n=S(ade(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),Dve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};l(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return p(e,[{key:"addHashTable",value:function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}},{key:"getHashTableHandleByName",value:function(e){return this.hashTableNameToHandle[e]}},{key:"getHashTableById",value:function(e){return this.hashTableMap[e]}},{key:"dispose",value:function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}}]),e}(),Mve=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:vae;l(this,e),this.modelUrl=t,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new Dve}var t,n,r,a;return p(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}},{key:"findIOHandler",value:function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return v0(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)}},{key:"loadSync",value:function(e){this.artifacts=e;var t=this.artifacts.modelTopology,n=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var r=this.artifacts.userDefinedMetadata;null!=r.signature&&(n=r.signature),null!=r.structuredOutputKeys&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version="".concat(t.versions.producer,".").concat(t.versions.minConsumer);var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Fve(Tde.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=Tde.Instance.transformGraph(e.modelInitializer);this.initializer=new Fve(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:(a=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"addStructuredOutputNames",value:function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof n5?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e}},{key:"predict",value:function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}},{key:"predictAsync",value:(r=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"normalizeInputs",value:function(e){var t,n=this;if(!(e instanceof n5||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has ".concat(this.inputNodes.length-o," non-resource placeholders, while there are ").concat(e.length," input tensors provided."));var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})}},{key:"normalizeOutputs",value:function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}},{key:"executeInitializerGraph",value:function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}},{key:"executeInitializerGraphAsync",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setResourceIdToCapturedInput",value:function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}}},{key:"execute",value:function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]}},{key:"executeAsync",value:(t=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"getIntermediateTensors",value:function(){return this.executor.getIntermediateTensors()}},{key:"disposeIntermediateTensors",value:function(){this.executor.disposeIntermediateTensors()}},{key:"convertTensorMapToTensorsMap",value:function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})}},{key:"dispose",value:function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&t8(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}}]),e}();function Lve(){return Lve=c(o().mark((function e(t){var n,r,a,i=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 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".concat(this.audioContext.sampleRate));case 19:return n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,n.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),e.abrupt("return");case 27:case"end":return e.stop()}}),e,this,[[0,6]])}))),function(){return i.apply(this,arguments)})},{key:"next",value:(a=c(o().mark((function e(){var t,n,r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.next=4,this.getAudioData();case 4:return r=e.sent,this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),t=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(r.timeDataQueue),n=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),e.abrupt("return",{value:{spectrogram:t,waveform:n},done:!1});case 8:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"capture",value:(r=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return r.apply(this,arguments)})},{key:"getAudioData",value:(n=c(o().mark((function e(){var t,n,r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],n=[],r=0,e.abrupt("return",new Promise((function(e){var 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n.set(e,r*t)})),n}},{key:"getTensorFromAudioDataArray",value:function(e,t){var n=new Float32Array(L$(t));return n.set(e,n.length-e.length),U5(n,t)}}],[{key:"create",value:(t=c(o().mark((function e(){var t,n,r=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=r.length>0&&void 0!==r[0]?r[0]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("microphone API is only supported in browser environment.");case 3:return n=new u(t),e.next=6,n.start();case 6:return e.abrupt("return",n);case 7:case"end":return e.stop()}}),e)}))),function(){return t.apply(this,arguments)})}]),u}(nme),_me=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e,t){var n;if(l(this,s),(n=i.call(this)).webcamVideoElement=e,n.webcamConfig=t,n.isClosed=!0,n.resize=!1,n.needToResize())if(n.resize=!0,n.cropSize=[n.webcamConfig.resizeHeight,n.webcamConfig.resizeWidth],n.cropBoxInd=Dte([0],"int32"),n.webcamConfig.centerCrop){var r=1*n.webcamConfig.resizeWidth/n.webcamVideoElement.width,a=1*n.webcamConfig.resizeHeight/n.webcamVideoElement.height,o=(1-r)/2,u=(1-a)/2,c=o+r,h=a+u;n.cropBox=Mte([u,o,h,c],[1,4])}else n.cropBox=Mte([0,0,1,1],[1,4]);return n}return p(s,[{key:"summary",value:function(){return"webcam"}},{key:"start",value:(a=c(o().mark((function e(){var t=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.webcamConfig.facingMode&&F$("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: ".concat(t.webcamConfig.facingMode,". 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a.apply(this,arguments)})},{key:"next",value:(r=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=Nae(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: ".concat(JSON.stringify(e.t0)));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: ".concat(e.t1.message));case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])}))),function(){return r.apply(this,arguments)})},{key:"needToResize",value:function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}},{key:"cropAndResizeFrame",value:function(e){var t=this;return e8((function(){var n,r=i9(X6(e,"float32"),0),a=(n=Rre.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return W8(n,a.slice(1))}))}},{key:"capture",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"stop",value:function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}},{key:"toArray",value:function(){throw new Error("Can not convert infinite video stream to array.")}}],[{key:"create",value:(t=c(o().mark((function e(t){var n,r,a=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(n=a.length>1&&void 0!==a[1]?a[1]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("tf.data.webcam is only supported in browser environment.");case 3:if(t){e.next=9;break}if(t=document.createElement("video"),n.resizeWidth&&n.resizeHeight){e.next=7;break}throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");case 7:t.width=n.resizeWidth,t.height=n.resizeHeight;case 9:return r=new s(t,n),e.next=12,r.start();case 12:return e.abrupt("return",r);case 13:case"end":return e.stop()}}),e)}))),function(e){return 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Aye={kernelName:A2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;Jme(a,"prod");var s=a.shape.length,u=j$(i,a.shape),c=H7(u,s),l=u,h=a,p=[];null!=c&&(h=Tye({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=K7(l.length,s));var f=n.data.get(h.dataId).values,d=Cye(h.shape,h.dtype,f,l),v=d.outVals,m=d.outShape,g=d.outDtype,y=m;return o&&(y=G7(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function Rye(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted 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scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=d0(r,t.length,i0(t)).join(",");throw new Error("indices[".concat(a,"] = ").concat(e," is not in [0, ").concat(n,")"))}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=Rye(i,o,e,r[0]),c=u.outSplits,l=u.valueSlices,h=u.numValues,p=function(e){for(var t=[],n=function(){var n=K$("int32",e[r].length);t.push(n),e[r].forEach((function(e,t){return n[t]=e}))},r=0;r<e.length;++r)n();return t}(c),f=Oye(n,r,a,l,h);return[p,f[0],f[1]]}var Dye=2147483647;function Mye(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,c=0===o.length,l=[];s||l.push(t[0]),u||l.push(a[0]),c||l.push(o[0]);for(var h=1;h<l.length;++h)if(l[h]!==l[h-1])throw new Error("starts, limits, and deltas must have the same shape");var p=0===l.length?1:l[0],f=K$("int32",p+1);f[0]=0;for(var d=0;d<p;++d){var v=s?e[0]:e[d],m=u?r[0]:r[d],g=c?i[0]:i[d];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&m<v||g<0&&m>v)y=0;else if((y=Math.ceil(Math.abs((m-v)/g)))>Dye)throw new Error("Requires ((limit - start) / delta) <= ".concat(Dye));f[d+1]=f[d]+y}for(var b=K$(n,f[p]),x=0,k=0;k<p;++k)for(var w=f[k+1]-f[k],I=s?e[0]:e[k],N=c?i[0]:i[k],S=0;S<w;++S)b[x++]=I,I+=N;return[f,b]}var Lye=Gae,zye=function(){function e(t,n,r,a,i,o,s,u,c,h){l(this,e),this.shape=t,this.shapeShape=n,this.values=r,this.valuesShape=a,this.valuesDType=i,this.defaultValue=o,this.defaultValueShape=s,this.rowPartitionValues=u,this.rowPartitionValuesShapes=c,this.rowPartitionTypes=$ae(h),this.raggedRank=eie(this.rowPartitionTypes)}return p(e,[{key:"getRowPartitionTypeByDimension",value:function(e){return this.rowPartitionTypes[0]===Lye.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]}},{key:"getRowPartitionTensor",value:function(e){return this.rowPartitionTypes[0]===Lye.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]}},{key:"getMaxWidth",value:function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case Lye.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case Lye.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(Lye[this.getRowPartitionTypeByDimension(t-1)]))}}},{key:"tensorShapeFromTensor",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return Bye(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;tie(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=Qae(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r}},{key:"calculateFirstParentOutputIndex",value:function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return F$(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a}},{key:"calculateOutputIndexRowSplit",value:function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),c=t[o];-1===c&&(u=0);for(var l=0;l<u;++l)i.push(c),c+=n;for(var h=0;h<s-u;++h)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i}},{key:"calculateOutputIndexValueRowID",value:function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId=".concat(s,", which is not less than ").concat(t.length));var u=t[s];i.push(u);for(var c=1;c<a;++c){var l=e[c];if(l===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=l,l>=t.length)throw new Error("Got nextValueRowId=".concat(l," which is not less than ").concat(t.length));u=t[l]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i}},{key:"calculateOutputIndex",value:function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case Lye.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case Lye.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: ".concat(Lye[i]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case Lye.FIRST_DIM_SIZE:return e[0];case Lye.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Lye.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(Lye[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=Bye(t,!1),i=K$(this.valuesDType,L$(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]}},{key:"setOutput",value:function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=L$(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;e8((function(){var e=W8(c,l),t=r7(e,o);c=t.dataSync()}))}for(var h=0,p=0,f=0,d=0;d<=u;++d){var v=d<u?t[d]:-1;if(v!==f){if(p<f){var m=a.subarray(h*s);Pye(i.subarray(p*s),m,(f-p)*s)}if(d>=u){var g=n.length;v=Math.floor(g/s)}if(v>f)if(1===this.defaultValue.length)i.subarray(f*s,v*s).fill(this.defaultValue[0]),f=v;else for(;v>f;){Pye(i.slice(f*s),c,s),++f}v<0?(h=d+1,p=f):(h=d,f=(p=f)+1)}else++f}}}}],[{key:"getMaxWidthRowSplit",value:function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n}},{key:"getMaxWidthValueRowID",value:function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)}}]),e}();function Pye(e,t,n){for(var r=0;r<n;r++)e[r]=t[r]}function Bye(e,t){var n,r=[],a=O(e);try{for(a.s();!(n=a.n()).done;){var i=n.value;if(i<0){if(!t)throw new Error("Dimension ".concat(i," must be >= 0"));if(i<-1)throw new Error("Dimension ".concat(i," must be >= -1"));i=-1}r.push(i)}}catch(e){a.e(e)}finally{a.f()}return r}function Wye(e,t,n,r,a,i,o,s,u,c){return new zye(e,t,n,r,a,i,o,s,u,c).compute()}function Vye(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return l0(0,r);var a=l0(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var Uye=Ige((function(e){return 1/Math.sqrt(e)})),Gye=Sge(H2,Uye),jye={kernelName:H2,backendName:"cpu",kernelFunc:Gye};function Hye(e,t,n,r,a,i,o,s,u,c){var l=[r/a,a],h=e.values,p=t.values;if(0===r)return K6(n,t.dtype);var f=u instanceof $4?u:K6(l,t.dtype);"string"==typeof u||"number"==typeof u?f.values.fill(u):"boolean"==typeof u&&f.values.fill(+u);for(var d=0;d<i;d++){for(var v=[],m=0,g=0;g<o;g++){var y=h[d*o+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/a)throw new Error("Invalid indices: ".concat(v," does not index into ").concat(n));for(var b=0;b<a;b++)c?f.values[m*a+b]+=p[d*a+b]:f.values[m*a+b]=0===t.rank?p[0]:p[d*a+b]}return f}var qye=Ige((function(e){return 1/(1+Math.exp(-e))})),Kye=Nge(t3,(function(e){return 1/(1+Math.exp(-e))})),Xye={kernelName:t3,backendName:"cpu",kernelFunc:Kye};function Yye(e,t,n,r,a){var i=Pae(r,t,n),o=L$(n),s=i0(r);if(i){var u=Bae(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=K6(r,a,"string"===a?Yie(e):e),l=K6(n,a),h=0;h<l.size;++h){var p=l.indexToLoc(h),f=p.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,T(f))].concat(T(p)))}return"string"===a?Jie(l.values):l.values}function Jye(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;Jme(a,"slice");var s=S(Wae(a,i,o),2),u=s[0],c=s[1];Cae(a,u,c);var l=Yye(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var Zye={kernelName:Z2,backendName:"cpu",kernelFunc:Jye};function Qye(e,t,n,r,a,i,o){var s=t[0],u=i[0],c=new Array(u),l=new Array(s),h=t[1];if(0===u){if(0!==s)throw new Error(Die(s));return[K$(n,0),[0,h],K$(a,0),c,l]}for(var p=!0,f=0,d=new Array(u).fill(0),v=0;v<s;++v){var m=e[v*h];if(m<0)throw new Error(Mie(v,m));if(m>=u)throw new Error(Lie(v,m,u));++d[m],p=p&&m>=f,f=m}for(var g=!0,y=0;y<u;++y){var b=0===d[y];c[y]=b,g=g&&!b,d[y]=Math.max(d[y],1),y>0&&(d[y]+=d[y-1])}if(g&&p){for(var x=e,k=r,w=0;w<s;++w)l[w]=w;return[x,[s,h],k,c,l]}for(var I=d[u-1],N=K$(n,I*h),S=K$(a,I),T=new Array(u).fill(0),E=0;E<s;++E){var C=e[E*h],A=T[C],R=(0===C?0:d[C-1])+A;T[C]++;for(var _=0;_<h;++_)N[R*h+_]=e[E*h+_];S[R]=r[E],l[E]=R}for(var O=0;O<u;++O){if(0===T[O]){var F=0===O?0:d[O-1];N[F*h+0]=O;for(var D=1;D<h;++D)N[F*h+D]=0;S[F]=o}}return[N,[I,h],S,c,l]}function $ye(e,t,n,r,a){for(var i=L$(r),o=t[0],s=a.length,u=[],c=1,l=-1,h=0;h<s;++h){var p=a[h];if(-1===p){if(-1!==l)throw new Error(zie(l,h));l=h,u.push(1)}else{if(p<0)throw new Error(Pie(h,p));c*=p,u.push(p)}}if(-1!==l){if(c<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");var f=Math.trunc(i/c);if(c*f!==i)throw new Error(Wie(r,u));u[l]=f}if(L$(u)!==i)throw new Error(Vie(r,u));var d=r.length,v=[];if(d>0){v[d-1]=1;for(var m=d-2;m>=0;--m)v[m]=v[m+1]*r[m+1]}var g=[];if(s>0){g[s-1]=1;for(var y=s-2;y>=0;--y)g[y]=g[y+1]*u[y+1]}for(var b=K$(n,o*s),x=0;x<o;++x){for(var k=0,w=0;w<d;++w)k+=e[x*d+w]*v[w];for(var I=0;I<s;++I)b[x*s+I]=Math.trunc(k/g[I]),k%=g[I]}return[b,[o,s],u]}function ebe(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]&&arguments[5],o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=r.length,u=[t[0],e.length/t[0]],c=u[1],l=s>0?a[s-1]+1:0,h=l;if(h<0)throw new Error("segment ids must be >= 0");var p=t.slice();p[0]=h;var f=p.reduce((function(e,t){return e*t}),1),d=K$(n,f);if(0===s)return h>0&&d.fill(o),[d,p];if(h<=0)throw new Error("segment ids must be >= 0");for(var v=0,m=1,g=0,y=a[v];;){var b=0;if(m<s){if(y===(b=a[m])){++m;continue}if(y>=b)throw new Error("segment ids are not increasing")}if(y<0||y>=h)throw new Error(jie(y,h));y>g&&d.fill(o,g*c,y*c);for(var x=v;x<m;++x){var k=r[x];if(k<0||k>=u[0])throw new Error(Hie(x,r[x],u[0]));for(var w=0;w<c;w++)d[y*c+w]+=e[k*c+w]}if(i)for(var I=0;I<c;I++)d[y*c+I]/=m-v;if(v=m,g=y+1,y=b,++m>s)break}return g<h&&d.fill(o,g*c,h*c),[d,p]}var tbe=Ige((function(e){return Math.sqrt(e)})),nbe=Nge(r3,(function(e){return Math.sqrt(e)})),rbe={kernelName:r3,backendName:"cpu",kernelFunc:nbe},abe=tge((function(e,t){var n=e-t;return n*n})),ibe=pge(f3,abe),obe={kernelName:f3,backendName:"cpu",kernelFunc:ibe},sbe=Ige((function(e,t){var n=t.pattern,r=t.replaceGlobal,a=t.rewrite;return e.replace(new RegExp(n,r?"g":""),a)})),ube=Sge(v3,sbe),cbe={kernelName:v3,backendName:"cpu",kernelFunc:ube};function lbe(e,t,n,r){for(var a=K6(e,t.dtype),i=0;i<a.size;i++){for(var o=a.indexToLoc(i),s=new Array(o.length),u=0;u<s.length;u++)s[u]=o[u]*n[u]+r[u];a.set.apply(a,[t.get.apply(t,s)].concat(T(o)))}return a}var hbe=function(){function e(t,n,r,a,i,o){l(this,e),this.separator=B4(t),this.nGramWidths=n,this.leftPad=B4(r),this.rightPad=B4(a),this.padWidth=i,this.preserveShort=o}return p(e,[{key:"getPadWidth",value:function(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}},{key:"getNumNGrams",value:function(e,t){var n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}},{key:"createNGrams",value:function(e,t,n,r,a,i){for(var o=this,s=function(){var s=o.getPadWidth(i),c=Math.max(0,s-u),l=Math.max(0,s-(a-(u+1))),h=i-(c+l),p=t+(c>0?0:u-s),f=0;f+=c*o.leftPad.length;for(var d=0;d<h;++d)f+=e[p+d].length;f+=l*o.rightPad.length,f+=(c+l+h-1)*o.separator.length,n[r+u]=new Uint8Array(f);for(var v=n[r+u],m=0,g=function(e){return e.forEach((function(e){return v[m++]=e}))},y=0;y<c;++y)g(o.leftPad),g(o.separator);for(var b=0;b<h-1;++b)g(e[p+b]),g(o.separator);if(h>0){g(e[p+h-1]);for(var x=0;x<l;++x)g(o.separator),g(o.rightPad)}else{for(var k=0;k<l-1;++k)g(o.rightPad),g(o.separator);g(o.rightPad)}},u=0;u<a;++u)s()}},{key:"compute",value:function(e,t){var n=this,r=e.length,a=t.length;if(a>0){var i=t[0];if(0!==i)throw new Error("First split value must be 0, got ".concat(i));for(var o=1;o<a;++o){var s=t[o]>=i;if(!(s=s&&t[o]<=r))throw new Error("Invalid split value ".concat(t[o],", must be in [").concat(i,", ").concat(r,"]"));i=t[o]}if(i!==r)throw new Error("Last split value must be data size. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;Jme([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,c=r.pad,l=N8(o.shape,s,u,1,c),h=l.strideHeight,p=l.strideWidth,f=l.filterHeight,d=l.filterWidth,v=l.dilationHeight,m=l.dilationWidth,g=l.effectiveFilterHeight,y=l.effectiveFilterWidth,b=y-1-l.padInfo.left,x=g-1-l.padInfo.top,k=K6(o.shape,"float32"),w=1/(f*d),I=n.data.get(a.dataId).values,N=K6(a.shape,"float32",I),S=0;S<l.batchSize;++S)for(var T=0;T<l.inChannels;++T)for(var E=0;E<l.inHeight;++E)for(var C=0;C<l.inWidth;++C){for(var A=E-x,R=C-b,_=0,O=0;O<g;O+=v){var F=(A+O)/h;if(!(F<0||F>=l.outHeight||Math.floor(F)!==F))for(var D=0;D<y;D+=m){var M=(R+D)/p;if(!(M<0||M>=l.outWidth||Math.floor(M)!==M))_+=N.get(S,F,M,T)}}k.set(_*w,S,E,C,T)}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var gxe={kernelName:M1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;F$(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),F$(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),F$(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),Jme([a,s,u,i,o],"batchNorm");var c=r.varianceEpsilon;null==c&&(c=.001);for(var l=n.data.get(a.dataId).values,h=n.data.get(s.dataId).values,p=n.data.get(u.dataId).values,f=i?n.data.get(i.dataId).values:new Float32Array([1]),d=o?n.data.get(o.dataId).values:new Float32Array([0]),v=new Float32Array(l.length),m=d.length,g=f.length,y=p.length,b=h.length,x=0,k=0,w=0,I=0,N=0;N<l.length;++N)v[N]=d[x++]+(l[N]-h[k++])*f[w++]/Math.sqrt(p[I++]+c),x>=m&&(x=0),k>=b&&(k=0),w>=g&&(w=0),I>=y&&(I=0);return n.makeTensorInfo(a.shape,a.dtype,v)}};var yxe={kernelName:G0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Jme([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=aie(a.shape,i,s),c=iie(u.length,i.length),l=oie(a.shape,i,s),h=sie(o,i.length),p=uie(l,o,i.length),f=Bbe({inputs:{x:a},backend:n,attrs:{shape:u}}),d=Tye({inputs:{x:f},backend:n,attrs:{perm:c}}),v=Bbe({inputs:{x:d},backend:n,attrs:{shape:l}}),m=Jye({inputs:{x:v},backend:n,attrs:{begin:h,size:p}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(v),m}};var bxe={kernelName:j0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=yge(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}};var xxe={kernelName:K0,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=A7(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},kxe=Nge(J0,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),wxe={kernelName:J0,backendName:"cpu",kernelFunc:kxe},Ixe={kernelName:Q0,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new Float32Array(L$(t.shape)),a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,c=0;c<s.length;c++){var l=s[c],h=u[c];r[c]=Math.hypot(l,h)}return n.makeOutput(r,t.shape,"float32")}};function Nxe(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.imag,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var Sxe={kernelName:U1,backendName:"cpu",kernelFunc:Nxe};function Txe(e){var 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h=P8(u),p=T8(a.shape,l,o,1,s,c,!1,h),f=p.strideHeight,d=p.strideWidth,v=p.filterHeight,m=p.filterWidth,g="channelsLast"===p.dataFormat,y=new $4(p.filterShape,"float32"),b=p.padInfo.left,x=p.padInfo.top,k=n.data.get(a.dataId).values,w=n.data.get(i.dataId).values,I=new $4(a.shape,a.dtype,k),N=new $4(i.shape,i.dtype,w),S=0;S<v;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),E=Math.min(p.outHeight,(p.inHeight+x-S)/f),C=0;C<m;++C)for(var A=Math.max(0,Math.ceil((b-C)/d)),R=Math.min(p.outWidth,(p.inWidth+b-C)/d),_=0;_<p.inChannels;++_)for(var O=0;O<p.outChannels;++O){for(var F=0,D=0;D<p.batchSize;++D)for(var M=T;M<E;++M)for(var L=S+M*f-x,z=A;z<R;++z){var P=C+z*d-b;F+=g?I.get(D,L,P,_)*N.get(D,M,z,O):I.get(D,_,L,P)*N.get(D,O,M,z)}y.set(F,S,C,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var _xe={kernelName:n1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode;Jme([a,i],"conv2dBackpropInput");var h=i0(i.shape),p=i0(a.shape),f=P8(c),d=T8(o,i.shape,s,1,u,l,!1,f),v=new $4(d.inShape,"float32"),m=v.values,g=n.data.get(a.dataId).values,y=n.data.get(i.dataId).values,b=S(h,3),x=b[0],k=b[1],w=b[2],I=d.batchSize,N=d.filterHeight,T=d.filterWidth,E=d.inChannels,C=d.inHeight,A=d.inWidth,R=d.outChannels,_=d.outHeight,O=d.outWidth,F=d.strideHeight,D=d.strideWidth;f=d.dataFormat;for(var M=N-1-d.padInfo.top,L=T-1-d.padInfo.left,z="channelsLast"===f,P=v.strides[0],B=z?v.strides[1]:v.strides[2],W=z?v.strides[2]:1,V=z?1:v.strides[1],U=p[0],G=z?p[1]:p[2],j=z?p[2]:1,H=z?1:p[1],q=0;q<I;++q)for(var K=0;K<E;++K)for(var X=0;X<C;++X)for(var Y=X-M,J=Math.max(0,Math.ceil(Y/F)),Z=Math.min(_,(N+Y)/F),Q=0;Q<A;++Q){for(var $=Q-L,ee=Math.max(0,Math.ceil($/D)),te=Math.min(O,(T+$)/D),ne=0,re=J;re<Z;++re)for(var ae=re*F-Y,ie=ee;ie<te;++ie)for(var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;Jme(a,"cumprod");var u=H7([i],a.shape.length),c=a;null!=u&&(c=Tye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=K7(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=c0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?1:f[y];else{var b=v(m,g-1);p[y]=o?f[b]*p[b]:f[y]*p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=Tye({inputs:{x:x},backend:n,attrs:{perm:q7(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var Vxe={kernelName:c1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;Jme(a,"cumsum");var u=H7([i],a.shape.length),c=a;null!=u&&(c=Tye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=K7(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=l0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?0:f[y];else{var b=v(m,g-1);p[y]=o?f[b]+p[b]:f[y]+p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=Tye({inputs:{x:x},backend:n,attrs:{perm:q7(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var Uxe={kernelName:h1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=yge(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=bge(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var Gxe={kernelName:p1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;F$("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;Jme([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=T8(a.shape,l,o,s,u,c,!0),p=h.strideHeight,f=h.strideWidth,d=h.filterHeight,v=h.filterWidth,m=new $4(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,x=n.data.get(a.dataId).values,k=new $4(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,I=new $4(i.shape,i.dtype,w),N=0;N<d;++N)for(var S=Math.max(0,Math.ceil((y-N)/p)),T=Math.min(h.outHeight,(h.inHeight+y-N)/p),E=0;E<v;++E)for(var C=Math.max(0,Math.ceil((g-E)/f)),A=Math.min(h.outWidth,(h.inWidth+g-E)/f),R=0;R<h.outChannels;++R){for(var _=Math.trunc(R/b),O=R%b,F=0,D=0;D<h.batchSize;++D)for(var M=S;M<T;++M)for(var L=N+M*p-y,z=C;z<A;++z){var P=E+z*f-g;F+=k.get(D,L,P,_)*I.get(D,M,z,R)}m.set(F,N,E,_,O)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var Kxe={kernelName:v1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.inputShape;Jme([a,i],"depthwiseConv2DNativeBackpropInput");for(var h=i0(a.shape),p=i0(i.shape),f=T8(l,i.shape,o,s,u,c,!0),d=new $4(f.inShape,"float32"),v=d.values,m=S(d.strides,3),g=m[0],y=m[1],b=m[2],x=n.data.get(a.dataId).values,k=S(h,3),w=k[0],I=k[1],N=k[2],T=n.data.get(i.dataId).values,E=S(p,3),C=E[0],A=E[1],R=E[2],_=f.batchSize,O=f.filterHeight,F=f.filterWidth,D=f.inChannels,M=f.inHeight,L=f.inWidth,z=f.outChannels,P=f.outHeight,B=f.outWidth,W=f.strideHeight,V=f.strideWidth,U=O-1-f.padInfo.top,G=F-1-f.padInfo.left,j=z/D,H=0;H<_;++H)for(var q=0;q<D;++q)for(var K=0;K<M;++K)for(var X=K-U,Y=Math.max(0,Math.ceil(X/W)),J=Math.min(P,(O+X)/W),Z=0;Z<L;++Z){for(var Q=Z-G,$=Math.max(0,Math.ceil(Q/V)),ee=Math.min(B,(F+Q)/V),te=0,ne=Y;ne<J;++ne)for(var re=ne*W-X,ae=$;ae<ee;++ae)for(var ie=w*H+I*ne+N*ae,oe=C*(O-1-re)+A*(F-1-(ae*V-Q))+R*q,se=0;se<j;++se){te+=x[ie+(q*j+se)]*T[oe+se]}v[g*H+y*K+b*Z+q]=te}return n.makeTensorInfo(d.shape,d.dtype,d.values)}};var Xxe={kernelName:m1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=L$(r.shape),i=n.data.get(r.dataId).values,o=K6([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var c=[].concat(T(r.shape),T(r.shape));return n.makeTensorInfo(c,o.dtype,o.values)}},Yxe={kernelName:g1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,p=c.data.get(i.dataId).values,f=i.shape.length,d=I8(a.shape,i.shape,o,s,"NHWC",u),v=d.batchSize,m=d.inHeight,g=d.inWidth,y=d.inChannels,b=d.outHeight,x=d.outWidth,k=d.padInfo,w=d.strideHeight,I=d.strideWidth,N=d.filterHeight,S=d.filterWidth,T=d.dilationHeight,E=d.dilationWidth,C=d.outShape,A=L$(C),R=C.length,_=K$(a.dtype,A),O=0;O<v;++O)for(var F=0;F<b;++F)for(var D=F*w-k.top,M=0;M<x;++M)for(var L=M*I-k.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=D+B*T;if(W>=0&&W<m)for(var V=0;V<S;++V){var U=L+V*E;if(U>=0&&U<g){var G=f0([O,W,U,z],h,i0(a.shape)),j=f0([B,V,z],f,i0(i.shape)),H=l[G]+p[j];H>P&&(P=H)}}}_[f0([O,F,M,z],R,i0(C))]=P}return{dataId:c.write(L4(_,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},Jxe={kernelName:b1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,c=r.dilations,l=n,h=s0(a.shape,l.data.get(a.dataId).values),p=s0(i.shape,l.data.get(i.dataId).values),f=I8(a.shape,i.shape,s,u,"NHWC",c),d=f.batchSize,v=f.inHeight,m=f.inWidth,g=f.inChannels,y=f.outHeight,b=f.outWidth,x=f.padInfo,k=f.strideHeight,w=f.strideWidth,I=f.filterHeight,N=f.filterWidth,S=f.dilationHeight,T=f.dilationWidth,E=f.outShape;F$(o.rank===E.length,(function(){return"Error in ".concat(b1,", dy ")+"must have the same rank as output ".concat(E.length,", but got ")+"".concat(o.rank)}));for(var C=s0(E,l.data.get(o.dataId).values),A=h0(i.shape,i.dtype),R=0;R<d;++R)for(var _=0;_<y;++_)for(var O=_*k-x.top,F=0;F<b;++F)for(var D=F*w-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=0,P=0,B=0;B<I;++B){var W=O+B*S;if(W>=0&&W<v)for(var V=0;V<N;++V){var U=D+V*T;if(U>=0&&U<m){var 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f=S(U7(p.shape,h),2),d=f[0],v=f[1],m=age(r,d,h5(p.dtype,"int32")),g=L$(v),y=r.data.get(m.dataId).values,b=r.data.get(p.dataId).values,x=0;x<y.length;++x){for(var k=x*g,w=0,I=0;I<g;++I)w+=b[k+I];y[x]=w}if(s){var N=m;m=Bbe({inputs:{x:m},backend:r,attrs:{shape:G7(m.shape,c)}}),r.disposeIntermediateTensorInfo(N)}return r.disposeIntermediateTensorInfo(t),null!=l&&r.disposeIntermediateTensorInfo(p),m}var eke={kernelName:a3,backendName:"cpu",kernelFunc:$xe};var tke={kernelName:w1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=Eie(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;Aie(i.length,s,r);for(var u=Rie(o,s),c=u.path,l=u.steps,h=l.length,p=null,f=i.length,d=[],v=0;v<h;++v){var m,g=O(l[v]);try{for(g.s();!(m=g.n()).done;){var y=m.value,b=Cie(f,s[y]),x=b.permutationIndices,k=b.expandDims,w=void 0;_ie(x)?w=r[y]:(w=Tye({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(w));for(var 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gke={kernelName:M3,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,c=r.pad,l=r.dataFormat,h=r.dilations,p=r.dimRoundingMode,f=r.activation,d=r.leakyreluAlpha,v=Cxe({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:c,dataFormat:l,dilations:h,dimRoundingMode:p}});if(o){var m=v;if("NCHW"===l&&1===o.shape.length&&1!==o.shape[0]){var g=Bbe({inputs:{x:o},backend:n,attrs:{shape:[o.shape[0],1,1]}});v=mge({inputs:{a:v,b:g},backend:n}),n.disposeIntermediateTensorInfo(g)}else v=mge({inputs:{a:v,b:o},backend:n});n.disposeIntermediateTensorInfo(m)}if(f){var y=v;if("NCHW"===l&&"prelu"===f&&1===s.shape.length&&1!==s.shape[0]){var b=Bbe({inputs:{x:s},backend:n,attrs:{shape:[s.shape[0],1,1]}});v=Pbe(n,v,f,b,d),n.disposeIntermediateTensorInfo(b)}else v=Pbe(n,v,f,s,d);n.disposeIntermediateTensorInfo(y)}return v}};var yke={kernelName:L3,backendName:"cpu",kernelFunc:function(e){var 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u=s?a:ewe({inputs:{logits:a},backend:n,attrs:{dim:-1}}),c=u.shape[0],l=u.shape[1],h=n.data.get(u.dataId).values,p=[c,i],f=l0(L$(p),"int32"),d=0;d<c;++d){var v=d*l,m=new Float32Array(l-1);m[0]=h[v];for(var g=1;g<m.length;++g)m[g]=m[g-1]+h[v+g];for(var y=Pee.alea(o.toString()),b=d*i,x=0;x<i;++x){var k=y();f[b+x]=m.length;for(var w=0;w<m.length;w++)if(k<m[w]){f[b+x]=w;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(p,"int32",f)}},rwe=Pne;var awe={kernelName:x2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;Jme(a,"NonMaxSuppression");var c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=rwe(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},iwe=Bne;var owe={kernelName:k2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize;Jme(a,"NonMaxSuppressionPadded");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=iwe(l,h,o,s,u,c),f=p.selectedIndices,d=p.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},swe=Wne;var uwe={kernelName:w2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma;Jme(a,"NonMaxSuppressionWithScore");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=swe(l,h,o,s,u,c),f=p.selectedIndices,d=p.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var cwe={kernelName:N2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;Jme(a,"oneHot");var c=L$(a.shape),l=new Float32Array(c*o);l.fill(u);for(var h=n.data.get(a.dataId).values,p=0;p<c;++p)h[p]>=0&&h[p]<o&&(l[p*o+h[p]]=s);return n.makeTensorInfo([].concat(T(a.shape),[o]),i,l)}};function lwe(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=sge({inputs:{input:r},backend:n}),i=lwe({inputs:{x:a},backend:n}),o=Nxe({inputs:{input:r},backend:n}),s=lwe({inputs:{x:o},backend:n}),u=nge({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return dke({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var hwe={kernelName:R3,backendName:"cpu",kernelFunc:lwe};var pwe={kernelName:I2,backendName:"cpu",kernelFunc:function e(t){var 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function(e,t,n){if(n)return"\n    ivec3 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ")}(e,t,n);default:return function(e,t,n){if(n)return"\n    ivec4 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatchN = texelsInBatch * outShape[1];\n\n      int b2 = index / texelsInBatchN;\n      index -= b2 * texelsInBatchN;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  ";for(var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),i=a*Math.ceil(e[e.length-2]/2),o=i,s="",u="b, r, c",c=2;c<e.length-1;c++)o*=e[e.length-c-1],s="\n      int b".concat(c," = index / ").concat(o,";\n      index -= b").concat(c," * ").concat(o,";\n    ")+s,u="b".concat(c,", ")+u;return"\n    ivec".concat(e.length," getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(").concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      ").concat(s,"\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec").concat(e.length,"(").concat(u,");\n    }\n  ")}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(vec4 val) {\n      ".concat(e.output," = val;\n    }\n  ")}(c)):(a=function(e,t,n){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t,n){if(1===t[0])return n?"\n      int getOutputCoords() {\n        return int(resultUV.x * float(outTexShape[1]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.x * ".concat(t[1],".0);\n      }\n    ");if(1===t[1])return n?"\n      int getOutputCoords() {\n        return int(resultUV.y * float(outTexShape[0]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.y * ".concat(t[0],".0);\n      }\n    ");if(n)return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      return resTexRC.x * outTexShape[1] + resTexRC.y;\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      return resTexRC.x * ").concat(t[1]," + resTexRC.y;\n    }\n  ")}(0,t,n);case 2:return function(e,t,n){if(P$(e,t))return n?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(".concat(t[0],", ").concat(t[1],"));\n      }\n    ");if(1===e[1])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ");if(1===e[0])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ");if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      int r = index / outShape[1];\n      int c = index - r * outShape[1];\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return function(e,t,n){if(n){var r=_Ne(["r","c","d"],e);return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    ".concat(r,"\n    return ivec3(r, c, d);\n  }\n")}var a=RNe(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t,n);case 4:return function(e,t,n){if(n){var r=_Ne(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      ".concat(r,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}var a=RNe(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}(e,t,n);case 5:return r=t,a=RNe(["r","c","d","d2","d3"],e),"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(r[0],",\n                             ").concat(r[1],"));\n\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      ").concat(a,"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ");case 6:return function(e,t){var n=RNe(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ")}(e,t);default:throw new Error("".concat(e.length,"-D output sampling is not yet supported"))}var r,a}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      ".concat(e.output," = vec4(val, 0, 0, 0);\n    }\n  ")}(c)),n.packedInputs&&(h+=UNe),[h,l,i,o,a,s,n.userCode].join("\n")}function zNe(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return jNe(e,t);case 1:return HNe(e,t);case 2:return qNe(e,t);case 3:return KNe(e,t);case 4:return XNe(e,t);case 5:return YNe(e);case 6:return JNe(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function PNe(e,t){var n,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=ANe(),"\n    vec4 ".concat(r,"() {\n      return ").concat(a.texture2D,"(").concat(n,", halfCR);\n    }\n  ");case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=ANe();if(t)return"\n    vec4 ".concat(r,"(int index) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n      vec2 uv = packedUVfrom1D(\n        packedTexShape[0], packedTexShape[1], index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ");var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 ".concat(r,"(int index) {\n      vec2 uv = packedUVfrom1D(\n        ").concat(o[0],", ").concat(o[1],", index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ")}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=i[0],s=i[1],u=ANe();if(null!=i&&P$(n,i))return t?"\n      vec4 ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n\n        return ").concat(u.texture2D,"(").concat(r,", uv);\n      }\n    "):"\n      vec4 ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n\n        return ").concat(u.texture2D,"(").concat(r,", uv);\n      }\n    ");if(t)return"\n    vec4 ".concat(a,"(int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);\n      return ").concat(u.texture2D,"(").concat(r,", uv);\n    }\n  ");var c=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(n[1]/2);return"\n    vec4 ".concat(a,"(int row, int col) {\n      vec2 uv = packedUVfrom2D(").concat(l,", ").concat(c[0],", ").concat(c[1],", row, col);\n      return ").concat(u.texture2D,"(").concat(r,", uv);\n    }\n  ")}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0]){var s=[1,2],u=nSe(e,n.slice(1)),c=["b","row","col"];return"\n        ".concat(PNe(u,t),"\n        vec4 ").concat(a,"(int b, int row, int col) {\n          return ").concat(a,"(").concat(rSe(c,s),");\n        }\n      ")}var l=ANe();if(t)return"\n    vec4 ".concat(a,"(int b, int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float(").concat(r,"Shape[2]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom3D(\n        packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n      return ").concat(l.texture2D,"(").concat(r,", uv);\n    }\n  ");var h=o[0],p=o[1],f=Math.ceil(n[2]/2),d=f*Math.ceil(n[1]/2);return"\n    vec4 ".concat(a,"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ").concat(h,", ").concat(p,", ").concat(d,", ").concat(f,", b, row, col);\n      return ").concat(l.texture2D,"(").concat(r,", uv);\n    }\n  ")}(e,t);default:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=ANe();if(t)return"\n    vec4 ".concat(r,"(int b2, int b, int row, int col) {\n      int valuesPerRow = int(ceil(float(").concat(n,"Shape[3]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float(").concat(n,"Shape[2]) / 2.0));\n      int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);\n      texelsInBatch *= ").concat(n,"Shape[1];\n      index = b2 * texelsInBatch + index;\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n      int texR = index / packedTexShape[1];\n      int texC = index - texR * packedTexShape[1];\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return ").concat(a.texture2D,"(").concat(n,", uv);\n    }\n  ");for(var i=e.shapeInfo.logicalShape,o=i.length,s=e.shapeInfo.texShape,u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],c=u[0],l=u[1],h=Math.ceil(i[o-1]/2),p=h*Math.ceil(i[o-2]/2),f="int b, int row, int col",d="b * ".concat(p," + (row / 2) * ").concat(h," + (col / 2)"),v=2;v<o-1;v++)f="int b".concat(v,", ")+f,p*=i[o-v-1],d="b".concat(v," * ").concat(p," + ")+d;return"\n    vec4 ".concat(r,"(").concat(f,") {\n      int index = ").concat(d,";\n      int texR = index / ").concat(l,";\n      int texC = index - texR * ").concat(l,";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(l,", ").concat(c,");\n      return ").concat(a.texture2D,"(").concat(n,", uv);\n    }\n  ")}(e,t)}}var BNe="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",WNe="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",VNe="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",UNe="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function GNe(e){return"offset".concat(e)}function jNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float ".concat(r,"() {return ").concat(n,";}");var a=S(e.shapeInfo.texShape,2),i=a[0],o=a[1];if(1===i&&1===o)return"\n      float ".concat(r,"() {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=GNe(n);if(t)return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");var u=S(e.shapeInfo.texShape,2),c=u[0],l=u[1];return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(c,", ").concat(l,", ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function HNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int index) {\n        ").concat(ZNe(e),"\n      }\n    ");var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n      float ".concat(r,"(int index) {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=GNe(n);return 1===o?t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[0]));\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / ").concat(i,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):1===i?t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / ").concat(o,".0, 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):t?"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  "):"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(i,", ").concat(o,", index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function qNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&P$(n,i)){if(t)return"\n      float ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var o=i[0],s=i[1];return"\n    float ".concat(a,"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}var u=H$(n),c=u.newShape,l=u.keptDims,h=c;if(h.length<n.length){var p=nSe(e,h);return"\n      ".concat(zNe(p,t),"\n      float ").concat(a,"(int row, int col) {\n        return ").concat(a,"(").concat(rSe(["row","col"],l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(").concat(n[1],", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var f=i[0],d=i[1],v=GNe(r);return 1===d?t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2(0.5, (index + 0.5) / float(").concat(r,"TexShape[0]));\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):1===f?t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2((index + 0.5) / float(").concat(r,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2((index + 0.5) / ").concat(d,".0, 0.5);\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):t?"\n      float ".concat(a,"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(r,"Shape[1] + col + ").concat(v,";\n        vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n  float ".concat(a,"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ").concat(n[1]," + col + ").concat(v,";\n    vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n    return sampleTexture(").concat(r,", uv);\n  }\n")}function KNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=H$(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var h=nSe(e,l);return"\n        ".concat(zNe(h,t),"\n        float ").concat(a,"(int row, int col, int depth) {\n          return ").concat(a,"(").concat(rSe(["row","col","depth"],c),");\n        }\n      ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(").concat(i,", ").concat(o,", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var p=e.shapeInfo.texShape,f=p[0],d=p[1],v=e.shapeInfo.flatOffset;if(d===i&&null==v)return t?"\n      float ".concat(a,"(int row, int col, int depth) {\n        int stride1 = ").concat(r,"Shape[2];\n        float texR = float(row);\n        float texC = dot(vec2(col, depth), vec2(stride1, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   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float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(d,".0, ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");var m=GNe(r);return t?"\n    float ".concat(a,"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = ").concat(r,"Shape[1] * ").concat(r,"Shape[2];\n      int stride1 = ").concat(r,"Shape[2];\n      int index = row * stride0 + col * stride1 + depth + ").concat(m,";\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n      return sampleTexture(").concat(r,", uv);\n    }\n    "):"\n      float ".concat(a,"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(i," + col * ").concat(o," + depth + ").concat(m,";\n        vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n        return sampleTexture(").concat(r,", uv);\n     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depth2;\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," +\n          depth * ").concat(i," + depth2;\n      vec2 uv = uvFromFlat(").concat(d,", ").concat(v,", index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}function YNe(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=H$(t),c=u.newShape,l=u.keptDims;if(c.length<t.length){var h=nSe(e,c);return"\n      ".concat(zNe(h),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(rSe(["row","col","depth","depth2","depth3"],l),");\n      }\n    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col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3],",\n               ").concat(t[2]*t[3],", ").concat(t[3],", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var m=GNe(n);return"\n    float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," + depth * ").concat(i," +\n          depth2 * ").concat(a," + depth3 + ").concat(m,";\n      vec2 uv = uvFromFlat(").concat(d,", ").concat(v,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function JNe(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=H$(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=nSe(e,i);return"\n      ".concat(zNe(s),"\n      float ").concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ").concat(r,"(").concat(rSe(["row","col","depth","depth2","depth3","depth4"],o),");\n      }\n    ")}var u=t[5],c=t[4]*u,l=t[3]*c,h=t[2]*l,p=t[1]*h;if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(p,", ").concat(h,", ").concat(l,", ").concat(c,")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(").concat(u,", 1)));\n        ").concat(ZNe(e),"\n      }\n    ");var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,v=d[0],m=d[1];if(m===p&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(").concat(h,", ").concat(l,", ").concat(c,", ").concat(u,")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(m===u&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3]*t[4],",\n               ").concat(t[2]*t[3]*t[4],",\n               ").concat(t[3]*t[4],",\n               ").concat(t[4],")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var g=GNe(n);return"\n    float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // 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p="";p=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(h[t+l])})).join(", ");var f="return outputValue;",d=1===L$(e.shapeInfo.logicalShape),v=1===L$(t.logicalShape);if(1!==o||d||v){if(d&&!v)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var m=o-2,g=o-1;u.indexOf(m)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(m)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 ".concat(i,"() {\n      ").concat(c," coords = getOutputCoords();\n      ").concat(n,"\n      vec4 outputValue = get").concat(a,"(").concat(p,");\n      ").concat(f,"\n    }\n  ")}function $Ne(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&P$(o,i))return"\n      float ".concat(a,"() {\n        return sampleTexture(").concat(n,", resultUV);\n      }\n    ");var c,l=eSe(u),h=MNe(e.shapeInfo.logicalShape,t.logicalShape),p=u-s,f=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(e){return"coords.".concat(f[e+p]," = 0;")})).join("\n");var d="";return d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(f[t+p])})).join(", "),"\n    float ".concat(a,"() {\n      ").concat(l," coords = getOutputCoords();\n      ").concat(c,"\n      return get").concat(r,"(").concat(d,");\n    }\n  ")}function eSe(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank ".concat(e," is not yet supported"))}function tSe(e,t,n){var r=H$(t),a=r.newShape,i=r.keptDims,o=t.length,s=e&&3===o&&1===t[0],u=s?t.slice(1):a,c=!e&&o>1&&!P$(t,n)&&a.length<o||s;return{useSqueezeShape:c,uniformShape:c?u:t,keptDims:i}}function nSe(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function rSe(e,t){return t.map((function(t){return e[t]})).join(", ")}function aSe(e,t,n,r){var a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=a.map((function(e){return e.shapeInfo})),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=LNe(a,o,t),u=VIe(e.gl,s),c=e.createProgram(u);return k0().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(e.buildVao(c),Object.assign({program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o},iSe(e,t,c)))}function iSe(e,t,n){var r,a,i,o,s=[],u=[],c=null;o=e.getUniformLocation(n,"NAN",!1),1===k0().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(n,"INFINITY",!1));var l,h=!1,p=O(t.variableNames);try{for(p.s();!(l=p.n()).done;){var f=l.value,d={name:f,uniform:e.getUniformLocation(n,f,h),offset:e.getUniformLocation(n,"offset".concat(f),h)};t.enableShapeUniforms&&(d.shape=e.getUniformLocation(n,"".concat(f,"Shape"),h),d.texShape=e.getUniformLocation(n,"".concat(f,"TexShape"),h)),s.push(d)}}catch(e){p.e(e)}finally{p.f()}if(t.enableShapeUniforms&&(r=e.getUniformLocation(n,"outShape",h),i=e.getUniformLocation(n,"outShapeStrides",h),a=e.getUniformLocation(n,"outTexShape",h)),t.customUniforms){var v,m=O(t.customUniforms);try{for(m.s();!(v=m.n()).done;){var g=v.value;u.push(e.getUniformLocation(n,g.name,h))}}catch(e){m.e(e)}finally{m.f()}}return{variablesLocations:s,customUniformLocations:u,infLoc:c,nanLoc:o,outShapeLocation:r,outShapeStridesLocation:i,outTexShapeLocation:a}}function oSe(e,t){if(e.length!==t.length)throw Error("Binary was compiled with ".concat(e.length," inputs, but ")+"was executed with ".concat(t.length," inputs"));e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!P$(r,i))throw Error("Binary was compiled with different shapes than "+"the current args. Shapes ".concat(r," and ").concat(i," must match"));if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!P$(o,s))throw Error("Binary was compiled with different texture shapes than the"+" current args. Shape ".concat(o," and ").concat(s," must match"))}}))}function sSe(e,t,n,r,a){t.program.enableShapeUniforms||(oSe(t.inShapeInfos,n),oSe([t.outShapeInfo],[r]));var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i.texture,o[0],o[1]):e.setOutputMatrixTexture(i.texture,o[0],o[1]),e.setProgram(t.webGLProgram),e.bindVertexArray(t.webGLProgram.vao),1===k0().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN);for(var s=0;s<n.length;++s){var u=n[s],c=t.variablesLocations[s],l=c.uniform,h=c.offset,p=c.shape,f=c.texShape;if(p){var d=tSe(t.program.packedInputs,u.shape,u.texData.texShape).uniformShape;switch(d.length){case 1:e.gl.uniform1iv(p,new Int32Array(d));break;case 2:e.gl.uniform2iv(p,new Int32Array(d));break;case 3:e.gl.uniform3iv(p,new Int32Array(d));break;case 4:e.gl.uniform4iv(p,new Int32Array(d))}}if(f&&e.gl.uniform2i(f,u.texData.texShape[0],u.texData.texShape[1]),null!=l)if(u.isUniform)if(L$(u.shape)<2)e.gl.uniform1f(l,u.uniformValues[0]);else{var v=u.uniformValues;v instanceof Float32Array||(v=new Float32Array(v)),e.gl.uniform1fv(l,v)}else null!=u.texData.slice&&null!=h&&e.gl.uniform1i(h,u.texData.slice.flatOffset),e.setInputMatrixTexture(u.texData.texture.texture,l,s)}var m=t.outShapeLocation;if(m)switch(r.shape.length){case 1:e.gl.uniform1iv(m,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(m,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(m,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(m,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var g=i0(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(g));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(g));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(g))}}if(t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a)for(var y=0;y<t.program.customUniforms.length;++y){var b=t.program.customUniforms[y],x=t.customUniformLocations[y],k=a[y];if("float"===b.type)e.gl.uniform1fv(x,k);else if("vec2"===b.type)e.gl.uniform2fv(x,k);else if("vec3"===b.type)e.gl.uniform3fv(x,k);else if("vec4"===b.type)e.gl.uniform4fv(x,k);else if("int"===b.type)e.gl.uniform1iv(x,k);else if("ivec2"===b.type)e.gl.uniform2iv(x,k);else if("ivec3"===b.type)e.gl.uniform3iv(x,k);else{if("ivec4"!==b.type)throw Error("uniform type ".concat(b.type," is not supported yet."));e.gl.uniform4iv(x,k)}}e.executeProgram()}function uSe(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var i=t.texData.texShape,o=tSe(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,c=o.keptDims,l="",h="",p="";if(1===u.length&&e.packedInputs){var f=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];l="".concat(f[0]>1,"_").concat(f[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var d=i0(u);p="".concat(d[0]===i[1],"_").concat(d[d.length-1]===i[1])}}else h="".concat(u[0]>1,"_").concat(u[1]>1);var v=t.shape.length,m=2===u.length&&P$(t.shape,i),g=1===L$(t.shape),y=E7(t.shape,n.shape),b=!e.packedInputs&&v===n.shape.length&&P$(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":"".concat(i[0]>1,"_").concat(i[1]>1);r+="".concat(v,"_").concat(b,"_").concat(s?c:"","_").concat(u.length,"_").concat(g,"_").concat(y,"_").concat(m,"_").concat(l,"_").concat(h,"_").concat(p,"_").concat(x,"_").concat(a)}else{var k=t.isUniform?"uniform":t.texData.texShape;r+="".concat(t.shape,"_").concat(k,"_").concat(a)}}));var a=e.userCode,i=e.constructor.name;return i+="_"+r+"_"+a+"".concat(k0().getNumber("WEBGL_VERSION"))}function cSe(e){return k0().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var lSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=SIe.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?_Ne(["r","c","d"],t):RNe(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),hSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=SIe.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(this.enableShapeUniforms?_Ne(["r","c","d"],t):RNe(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ").concat(n.output," = result;\n      }\n    ")})),pSe=p((function e(t){l(this,e),this.variableNames=["A"],this.outTexUsage=TIe.DOWNLOAD;var n=ANe();this.outputShape=t,this.userCode="\n      ".concat(DNe,"\n\n      void main() {\n        float x = getAAtOutCoords();\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),fSe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=TIe.DOWNLOAD;var n=ANe();this.outputShape=t,this.userCode="\n      ".concat(DNe,"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ").concat(n.output," = encode_float(x);\n      }\n    ")})),dSe={R:0,G:1,B:2,A:3},vSe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"RGBA";l(this,e),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var a=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var i="result";n&&(i="floor(result * 255. + 0.5)");for(var o="",s=0;s<r.length;s++){var u=r[s];o+="\n          if(offset == ".concat(s,") {\n            result = values[").concat(dSe[u],"];\n          }")}this.userCode="\n      ".concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int flatIndex = getFlatIndex(coords);\n        float result = 0.;\n        int offset = imod(flatIndex, ").concat(r.length,");\n\n        flatIndex = idiv(flatIndex, ").concat(r.length,", 1.);\n\n        int r = flatIndex / texShape[1];\n        if (r < texShape[0]) {\n          int c = imod(flatIndex, texShape[1]);\n          vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n          vec4 values = ").concat(a.texture2D,"(A, uv);\n          ").concat(o,"\n        }\n        ").concat(a.output," = vec4(").concat(i,", 0., 0., 0.);\n      }\n    ")})),mSe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=ANe();this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var a="",i="result";n&&(i="floor(result * 255. + 0.5)");for(var o=0;o<=1;o++)for(var s=0;s<=1;s++){var u=2*o+s;a+="\n          localCoords = coords;\n          if(localCoords[2] + ".concat(s," < ").concat(this.enableShapeUniforms?"outShape[2]":"".concat(t[2]),") {\n          localCoords[2] += ").concat(s,";\n          if (localCoords[1] + ").concat(o," < ").concat(this.enableShapeUniforms?"outShape[1]":"".concat(t[1]),") {\n            localCoords[1] += ").concat(o,";\n\n            flatIndex = getFlatIndex(localCoords);\n            offset = imod(flatIndex, 4);\n\n            flatIndex = idiv(flatIndex, 4, 1.);\n\n            int r = flatIndex / texShape[1];\n            int c = imod(flatIndex, texShape[1]);\n            vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n            values = ").concat(r.texture2D,"(A, uv);\n\n            if (offset == 0) {\n              result[").concat(u,"] = values[0];\n            } else if (offset == 1) {\n              result[").concat(u,"] = values[1];\n            } else if (offset == 2) {\n              result[").concat(u,"] = values[2];\n            } else {\n              result[").concat(u,"] = values[3];\n            }\n          }\n        }\n        ")}this.userCode="\n        ".concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n        void main() {\n          ivec3 coords = getOutputCoords();\n\n          vec4 result = vec4(0.);\n          int flatIndex, r, c, offset;\n          ivec3 localCoords;\n          vec2 uv;\n          vec4 values;\n\n          ").concat(a,"\n\n          ").concat(r.output," = ").concat(i,";\n        }\n    ")}));function gSe(e){var t=ANe();return WIe(e,"".concat(t.version,"\n    precision highp float;\n    ").concat(t.attribute," vec3 clipSpacePos;\n    ").concat(t.attribute," vec2 uv;\n    ").concat(t.varyingVs," vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }"))}function ySe(e){return YIe(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function bSe(e){return JIe(e,new Uint16Array([0,1,2,2,1,3]))}function xSe(e,t,n,r,a,i){QIe(t,n);var o=ZIe(e),s=e.TEXTURE_2D;return LIe(e,(function(){return e.bindTexture(s,o)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),LIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):LIe(e,(function(){return e.texStorage2D(s,1,r,t,n)})),LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function kSe(e){return e.internalFormatFloat}function wSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],kSe(r),r.textureFormatFloat,e.FLOAT)}function ISe(e){return e.internalFormatHalfFloat}function NSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],ISe(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function SSe(e){return e.downloadTextureFormat}function TSe(e,t,n,r){var a=S(OIe(t,n),2);return xSe(e,a[0],a[1],SSe(r),e.RGBA,e.UNSIGNED_BYTE)}function ESe(e){return e.internalFormatPackedFloat}function CSe(e,t,n,r){var a=S(DIe(t,n),2);return xSe(e,a[0],a[1],ESe(r),e.RGBA,e.FLOAT)}function ASe(e){return e.internalFormatPackedHalfFloat}function RSe(e,t,n,r){var a=S(DIe(t,n),2);return xSe(e,a[0],a[1],ASe(r),e.RGBA,r.textureTypeHalfFloat)}function _Se(e,t,n){return LIe(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),eNe(e,t,"clipSpacePos",n,3,20,0)&&eNe(e,t,"uv",n,2,20,12)}function OSe(e,t,n,r,a,i){var o,s,u;LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),2===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,e.RGBA,s,o)})):LIe(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}function FSe(e,t,n){LIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===k0().getNumber("WEBGL_VERSION")?LIe(e,(function(){return 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r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function LSe(e,t,n,r){var a=S(OIe(t,n),2),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return LIe(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}function zSe(e,t,n,r,a,i,o,s){var u=e,c=new Float32Array(function(e,t){var n=S(DIe(e,t),2);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function PSe(e,t,n){var r=new Float32Array(t*n*4);return LIe(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}var BSe={__proto__:null,bindVertexProgramAttributeStreams:_Se,createBufferFromOutputTexture:DSe,createFloat16MatrixTexture:NSe,createFloat16PackedMatrixTexture:RSe,createFloat32MatrixTexture:wSe,createIndexBuffer:bSe,createPackedMatrixTexture:CSe,createUnsignedBytesMatrixTexture:TSe,createVertexBuffer:ySe,createVertexShader:gSe,downloadByteEncodedFloatMatrixFromOutputTexture:LSe,downloadFloat32MatrixFromBuffer:MSe,downloadMatrixFromPackedOutputTexture:PSe,downloadPackedMatrixFromBuffer:zSe,getInternalFormatForFloat16MatrixTexture:ISe,getInternalFormatForFloat16PackedMatrixTexture:ASe,getInternalFormatForFloat32MatrixTexture:kSe,getInternalFormatForPackedMatrixTexture:ESe,getInternalFormatForUnsignedBytesMatrixTexture:SSe,uploadDenseMatrixToTexture:OSe,uploadPixelDataToTexture:FSe},WSe=function(){function e(t){l(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var n=k0().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,RIe(n,t)):this.gl=_Ie(n),t=this.gl,2===k0().getNumber("WEBGL_VERSION")){var r=t;this.createVertexArray=function(){return LIe(r,(function(){return r.createVertexArray()}))},this.bindVertexArray=function(e){return LIe(r,(function(){return r.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return LIe(r,(function(){return r.deleteVertexArray(e)}))},this.getVertexArray=function(){return LIe(r,(function(){return r.getParameter(r.VERTEX_ARRAY_BINDING)}))}}else if(null!=t){var a=t.getExtension("OES_vertex_array_object");if(null==a)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return LIe(t,(function(){return a.createVertexArrayOES()}))},this.bindVertexArray=function(e){return LIe(t,(function(){return a.bindVertexArrayOES(e)}))},this.deleteVertexArray=function(e){return LIe(t,(function(){return 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if(i="EXT_color_buffer_float",xNe(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else{if(!xNe(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=ySe(this.gl),this.indexBuffer=bSe(this.gl),this.framebuffer=$Ie(this.gl),this.textureConfig=MIe(this.gl,this.textureHalfFloatExtension)}var t;return p(e,[{key:"debug",get:function(){return k0().getBool("DEBUG")}},{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;LIe(t,(function(){return t.finish()})),LIe(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),LIe(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),LIe(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),LIe(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),LIe(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),wSe(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),NSe(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),TSe(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),FSe(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),OSe(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),RSe(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),CSe(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(oNe(this.gl,this.framebuffer),this.outputTexture=null),LIe(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return LSe(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return zSe(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return MSe(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=DSe(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,n,r=this;if(k0().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return PSe(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=gSe(n));var r=qIe(n);LIe(n,(function(){return n.attachShader(r,t.vertexShader)})),LIe(n,(function(){return n.attachShader(r,e)})),KIe(n,r);var a=Object.assign(r,{vao:this.createVertexArray()});return this.debug&&XIe(n,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var n=this.gl;LIe(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),_Se(n,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(LIe(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&XIe(this.gl,this.program),LIe(this.gl,(function(){return t.gl.useProgram(e)}))}},{key:"getUniformLocation",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.throwIfDisposed(),n?nNe(this.gl,e,t):rNe(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),LIe(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),aNe(this.gl,e,t,n)}},{key:"setOutputMatrixTexture",value:function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,n){this.throwIfDisposed();var r=S(DIe(t,n),2),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&XIe(this.gl,this.program),sNe(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}LIe(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),LIe(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=BIe(this.gl,2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2!==k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}}},{key:"waitForQueryAndGetTime",value:(t=c(o().mark((function e(t){var n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,U$((function(){return n.disposed||n.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value:function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}},{key:"addItemToPoll",value:function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in k0().platform&&(r=k0().platform.setTimeoutCustom.bind(k0().platform)),U$((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),iNe(this.gl,e,this.framebuffer),this.debug&&sNe(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(iNe(this.gl,this.outputTexture,this.framebuffer),this.debug&&sNe(this.gl)):oNe(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n}},{key:"setOutputMatrixTextureDriver",value:function(e,t,n){this.throwIfDisposed();var r=this.gl;iNe(r,e,this.framebuffer),this.debug&&sNe(r),this.outputTexture=e,LIe(r,(function(){return r.viewport(0,0,t,n)})),LIe(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),LIe(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw new Error("No GPU program is currently set.")}}]),e}();var VSe=dge,USe=yge,GSe=bge,jSe=xge,HSe=cge,qSe=Tge,KSe=Age,XSe=Rge,YSe=Fge,JSe=Lge,ZSe=Bge,QSe=Hge,$Se=qge,eTe=Kge,tTe=Jge,nTe=$ge,rTe=nye,aTe=iye,iTe=oye,oTe=cye,sTe=lye,uTe=fye,cTe=mye,lTe=xye,hTe=wye,pTe=Cye,fTe=Fye,dTe=Mye,vTe=Wye,mTe=Vye,gTe=Uye,yTe=Hye,bTe=qye,xTe=$me,kTe=Yye,wTe=Qye,ITe=$ye,NTe=ebe,STe=tbe,TTe=sbe,ETe=lbe,CTe=pbe,ATe=dbe,RTe=vbe,_Te=mbe,OTe=xbe,FTe=Ibe,DTe=Sye,MTe=Nbe;function LTe(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function zTe(e,t){return 1===t?[e]:LTe(e,t)}var PTe=function(){function e(t){if(l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=cSe(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=zTe("rc",this.rank),r=eSe(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n        void main() {\n          ".concat(r," rc = getOutputCoords();\n\n          if(").concat(a,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(i,"\n\n            setOutput(vec4(").concat(o,"));\n          }\n        }\n      ")}}return p(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n      int r = ".concat(t[0],";\n      int c = ").concat(t[1],";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= ").concat(n,";\n      bool rEdge = rp1 >= ").concat(r,";\n    ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n            cEdge ? 0. : getA(").concat(t[1],"),\n            rEdge ? 0. : getA(").concat(t[2],"),\n            rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}(),BTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);for(var r,a,i,o="",s=0;s<4;s++){var u="thisRC = rc;";s%2==1&&(u+="thisRC.z += 1;"),s>1&&(u+="thisRC.y += 1;"),o+="\n        ".concat(u,"\n        ").concat(s>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[").concat(s,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(s>0?"}":"","\n      ")}this.userCode="\n      ".concat((r=n,a=this.enableShapeUniforms,i=a?function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"index",r=e.map((function(e,t){return t})),a=ONe(r,t);return a.map((function(t,r){var i="int ".concat(e[r]," = ").concat(n," / ").concat(a[r]),o=r===a.length-1?"int ".concat(e[r+1]," = ").concat(n," - ").concat(e[r]," * ").concat(a[r]):"index -= ".concat(e[r]," * ").concat(a[r]);return"".concat(i,"; ").concat(o,";")})).join("")}(["r","c","d"],"inputShape"):RNe(["r","c","d"],r),"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ".concat(i,"\n      return ivec3(r, c, d);\n    }\n  ")),"\n      ").concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":FNe(t),"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n        int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));var WTe=function(){function e(t){l(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return p(e,[{key:"acquireTexture",value:function(e,t,n){var r=UTe(t,n),a=GTe(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=VTe(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===EIe.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===EIe.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===EIe.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===EIe.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===EIe.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i}},{key:"releaseTexture",value:function(e,t,n,r){if(null!=this.freeTextures){var a=UTe(n,r),i=GTe(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=VTe(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=k0().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],c=u&&u.indexOf(e);if(null==c||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function VTe(e,t,n,r,a){var i,o=function(e,t){switch(e){case EIe.PACKED_2X2_FLOAT32:return ESe(t);case EIe.PACKED_2X2_FLOAT16:return ASe(t);case EIe.UNPACKED_FLOAT32:return kSe(t);case EIe.UNPACKED_FLOAT16:return ISe(t);case EIe.PACKED_4X1_UNSIGNED_BYTE:return SSe(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=S(DIe(e[0],e[1]),2);i=s[0]*s[1]}else{var u=S(OIe(e[0],e[1]),2);i=u[0]*u[1]}var c=function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function UTe(e,t){if(e===TIe.UPLOAD)return EIe.PACKED_2X2_FLOAT32;if(e===TIe.RENDER||null==e)return function(e){return k0().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?EIe.PACKED_2X2_FLOAT32:EIe.UNPACKED_FLOAT32:e?EIe.PACKED_2X2_FLOAT16:EIe.UNPACKED_FLOAT16}(t);if(e===TIe.DOWNLOAD||e===TIe.PIXELS)return EIe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function GTe(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var jTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),HTe="if (isnan(x)) return x;",qTe="return x;",KTe="return abs(x);";var XTe="return (x >= 0.0) ? x : (exp(x) - 1.0);",YTe=HTe+"\n  return (x < 0.0) ? 0.0 : x;\n",JTe=HTe+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",ZTe="return x;",QTe="return 1.0 / (1.0 + exp(-1.0 * x));",$Te="return x;",eEe="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",tEe="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",nEe="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",rEe="return 1.0 / (1.0 + exp(-1.0 * x));",aEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),iEe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);var n=t.length,r=zTe("rc",n),a=eSe(n),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(i,");\n\n        setOutput(getChannel(packedInput, ").concat(s,"));\n      }\n    ")})),oEe=Qte,sEe={};var uEe=k0().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var cEe=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e){var t,n,r;if(l(this,s),(t=i.call(this)).pendingRead=new WeakMap,t.pendingDisposal=new WeakSet,t.dataRefCount=new WeakMap,t.numBytesInGPU=0,t.uploadWaitMs=0,t.downloadWaitMs=0,t.lastGlFlushTime=0,t.warnedAboutMemory=!1,t.pendingDeletes=0,t.disposed=!1,!k0().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof WSe)n=e;else{var a=_Ie(k0().getNumber("WEBGL_VERSION"),e);n=new WSe(a)}t.binaryCache={},t.gpgpuCreatedLocally=!1}else{var o=_Ie(k0().getNumber("WEBGL_VERSION"));n=new WSe(o),t.binaryCache=((r=k0().getNumber("WEBGL_VERSION"))in sEe||(sEe[r]={}),sEe[r]),t.gpgpuCreatedLocally=!0}return t.gpgpu=n,t.canvas=t.gpgpu.gl.canvas,t.textureManager=new WTe(t.gpgpu),t.numMBBeforeWarning=null==k0().global.screen?1024:k0().global.screen.height*k0().global.screen.width*window.devicePixelRatio*600/1024/1024,t.texData=new S$(x(t),Q6()),t}return p(s,[{key:"nextDataId",value:function(){return s.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"writeTexture",value:function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=fNe(t),c=new vSe(u,!1,i),l=this.runWebGLProgram(c,[o],n,[[r,a]]);return l.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,n){if((k0().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||k0().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:TIe.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r,a){if(k0().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:TIe.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new aEe(o,ZTe):new jTe(o,ZTe);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,p,f=null!=this.activeTimers;(f&&(h=z4()),"complex64"===r)?p=gie(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=z4()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:(a=c(o().mark((function e(t){var n,r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,s=r.slice,u=r.dtype,c=r.complexTensorInfos,l=r.isPacked,null==s){e.next=11;break}return h=l?new aEe(i,ZTe):new jTe(i,ZTe),p=this.runWebGLProgram(h,[{dataId:t,shape:i,dtype:u}],u),f=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",f);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!k0().getBool("DEBUG")){e.next=16;break}if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==k0().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==u&&k0().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),d=(m=this.gpgpu).createBufferFromTexture.apply(m,[g.texture.texture].concat(T(FIe(i))))),this.pendingRead.set(t,[]),"complex64"===u){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==u){e.next=31;break}return e.next=25,Promise.all([this.read(c.real.dataId),this.read(c.imag.dataId)]);case 25:b=e.sent,x=b[0],k=b[1],y=gie(x,k),e.next=32;break;case 31:null==d?y=this.getValuesFromTexture(t):(w=L$(i),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=v&&this.disposeIntermediateTensorInfo(v),null!=d&&LIe(I=this.gpgpu.gl,(function(){return I.deleteBuffer(d)})),N=this.convertAndCacheOnCPU(t,y),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Q6().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)}))),function(e){return a.apply(this,arguments)})},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new aEe(a,ZTe):new jTe(a,ZTe);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var p=this.decode(e,t.customTexShape),f=Q6().makeTensorFromTensorInfo(p),d=this.texData.get(p.dataId);return Object.assign({tensorRef:f},d.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return W4(e)}));return K6(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return K6(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!zIe(n)){if(k0().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=L$(n);if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(T(FIe(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=k0().getBool("WEBGL_PACK")&&!0===a,h=l?fNe(n):n,p=l?new fSe(h):new pSe(h),f=this.runWebGLProgram(p,[{shape:h,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),v}},{key:"timerAvailable",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=U4(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),s=U4(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return c(o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,u.kernelMs=O$(n),u.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:s[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:u.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",u);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:z4(),endMs:null}}},{key:"endTimer",value:function(e){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=z4(),e)}},{key:"getQueryTime",value:(r=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e),r=n.complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:uEe;return k0().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&L$(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){z3("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return oEe(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new aEe(e.shape,t),a=this.compileAndRun(r,[e],n);return Q6().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=xTe(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(k0().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,KTe,e.dtype);var n=new jTe(e.shape,KTe),r=this.compileAndRun(n,[e]);return Q6().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&$$(n[0])){var a=n.map((function(e){return B4(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){return Q6().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new iEe(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new PTe(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[hNe(e.shape)].concat(T(pNe(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[hNe(t)].concat(T(pNe(t))),i=new BTe(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&F$(L$(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=fNe(a);o=r?new hSe(s):new lSe(s);var u=[null!=t?t:FIe(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===SIe.DENSE){var c=null!=o?o:FIe(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===L$(s.shape))return u.values=q$(s.dtype,0),s;var l=[],h=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&L$(t.shape)<=k0().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}if(a.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),l.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!mNe(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),l.push(t),n=a.texData.get(t.dataId),r.shape=i}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var p,f={shape:s.shape,texData:u,isUniform:!1},d=uSe(e,h,f),v=this.getAndSaveBinary(d,(function(){return aSe(a.gpgpu,e,h,f)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),k0().get("ENGINE_COMPILE_ONLY")||sSe(this.gpgpu,v,h,f,r),l.forEach((function(e){return a.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)}));var g=k0().getNumber("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=z4();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!k0().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===i){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s}},{key:"compileAndRun",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];n=n||t[0].dtype;var i=this.runWebGLProgram(e,t,n,r,a);return i}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;if(!this.disposed){if(!k0().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=e8((function(){if(!k0().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=k0().getBool("DEBUG");k0().set("DEBUG",!1);var n=e.abs(Z7(1e-8)).dataSync()[0];if(k0().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?1e-7:1e-4}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=z4());var l=t.texShape;if(null==l&&(l=dNe(n,s),t.texShape=l),null!=a){var h,p=fNe(n),f=l[1],d=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=S(DIe(l[0],l[1]),2);f=m[0],d=m[1]}h=s?new mSe(p,v):new vSe(p,v);var g=v?[d,f]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?TIe.PIXELS:TIe.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],k=this.runWebGLProgram(h,[y],r,x,!0),w=this.texData.get(k.dataId);t.texShape=w.texShape,t.isPacked=w.isPacked,t.usage=w.usage,k0().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=w.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=z4()-u)}else{var I=this.acquireTexture(l,o,r,s);t.texture=I}}}},{key:"convertAndCacheOnCPU",value:function(e,t){var n=this.texData.get(e),r=n.dtype;return null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new 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r=iSe(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,c=r.outShapeStridesLocation,l=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=c,n.outTexShapeLocation=l}}},{key:"createTensorFromGPUData",value:function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=Q6().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",M4(i,"float32")),s=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(kEe,a.shape,o.shape):new fEe(xEe,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},IEe="return (a < 0.) ? b * a : a;",NEe="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var SEe={kernelName:C2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(NEe,r.shape,a.shape):new fEe(IEe,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function TEe(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,c=s,l=a||u.dtype;if(c.shouldExecuteOnCPU([u])&&null!=r){var h=c.texData.get(u.dataId),p=r(h.values,l);return c.makeTensorInfo(u.shape,l,p)}return 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0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],s=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,u=arguments.length>7&&void 0!==arguments[7]&&arguments[7],c=arguments.length>8&&void 0!==arguments[8]&&arguments[8];l(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r,this.enableShapeUniforms=cSe(this.outputShape.length);var h=a?t[1]:t[2],p=Math.ceil(h/2),f=a?"i * 2, rc.y":"rc.y, i * 2",d=i?"rc.z, i * 2":"i * 2, rc.z",v=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=i?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",y="";s&&(g=u?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(s,"\n        }"):c?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          ".concat(s,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(s,"\n        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t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=h5(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),c=new OEe(REe,a.shape,i.shape),l=new OEe(_Ee,a.shape,i.shape),h=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],p=r.runWebGLProgram(c,h,"float32"),f=r.runWebGLProgram(l,h,"float32"),d=yEe({inputs:{real:p,imag:f},backend:r});return r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var v=r.texData.get(a.dataId),m=r.texData.get(i.dataId),g=S(cTe(a.shape,i.shape,v.values,m.values,o),2),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vEe(FEe,a.shape,i.shape):new fEe(FEe,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var MEe={kernelName:g2,backendName:"webgl",kernelFunc:DEe};function LEe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=L$(a.shape),u=G$(i,s),c=L$(u);F$(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. 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a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=nie(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],c=u.inSize,l=u.windowSize,h=u.outSize,p=void 0;p="mean"===n?0===o?new PEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new PEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new BEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},n),s=i,i=r.runWebGLProgram(p,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var VEe=p((function e(t,n){l(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var i=eSe(this.rank),o=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(t," is not yet supported"));for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(n);this.userCode="\n    void main() {\n      ".concat(i," resRC = getOutputCoords();\n      setOutput(getA(").concat(o,"));\n    }\n    ")}));var UEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var i=eSe(this.rank),o=LTe("rc",this.rank),s=new Array(this.rank),u=0;u<n.length;u++)s[n[u]]=o[u];var c="vec2(".concat(s.slice(-2).join(),")"),h="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),p="getChannel(getA(".concat(s.join(),"), ").concat(c,")");this.userCode="\n    void main() {\n      ".concat(i," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(p,";\n      if(").concat(h,") {\n        result[1] = ").concat(p,";\n      }\n      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HEe={kernelName:a3,backendName:"webgl",kernelFunc:jEe};function qEe(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=i.shape[o[l]];if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId).values,p=DTe(h,i.shape,i.dtype,o,c);t=s.makeTensorInfo(c,i.dtype),s.texData.get(t.dataId).values=p}else t=GEe(i,o,s);return t}var KEe={kernelName:T3,backendName:"webgl",kernelFunc:qEe};function XEe(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=t.shape.length,v=n.shape.length,m=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[v-1]:n.shape[v-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[v-2]:n.shape[v-1],x=t.shape.slice(0,-2),k=n.shape.slice(0,-2),w=L$(x),I=L$(k),N=A7(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);F$(m===g,(function(){return"Error in matMul: inner shapes 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AEe(T,E,[_,y,b],r,a,F,L,D,M),q=[C,A];if(null!=s&&q.push(s),D&&q.push(c),M){var K=i.makeTensorInfo([],"float32",M4(h,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=LEe({inputs:{x:S},backend:i,attrs:{shape:N}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var YEe={kernelName:D3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,c=r.transposeB,l=r.activation;return XEe({a:a,b:i,transposeA:u,transposeB:c,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:l})}},JEe="return abs(x);";var ZEe={kernelName:N0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=xTe(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=k0().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new aEe(a.shape,JEe):new jTe(a.shape,JEe),r.runWebGLProgram(t,[a],a.dtype)}},QEe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),$Ee={kernelName:S0,backendName:"webgl",kernelFunc:QEe},eCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),tCe={kernelName:T0,backendName:"webgl",kernelFunc:eCe},nCe="return a + b;",rCe=EEe({opSnippet:nCe,packedOpSnippet:nCe,supportsComplex:!0,cpuKernelImpl:VSe}),aCe={kernelName:E0,backendName:"webgl",kernelFunc:rCe},iCe=p((function e(t,n){l(this,e),this.outputShape=[],this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("float v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        float result = ").concat(a,";\n        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h5(e,t)})),c=a.map((function(e){return e.shape})),l=k0().getBool("WEBGL_PACK")?new oCe(a[0].shape,c):new iCe(a[0].shape,c);return r.runWebGLProgram(l,a,u)}};var uCe={kernelName:A0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=a;null!=l&&(h=qEe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=K7(c.length,s)),j7("all",c,s);var p,f=S(U7(h.shape,c),2),d=f[0],v=LEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=WEe(v,v.dtype,"all",n);return p=LEe(o?{inputs:{x:m},backend:n,attrs:{shape:G7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}};var cCe={kernelName:R0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=a;null!=l&&(h=qEe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=K7(c.length,s)),j7("any",c,s);var p,f=S(U7(h.shape,c),2),d=f[0],v=LEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=WEe(v,v.dtype,"any",n);return p=LEe(o?{inputs:{x:m},backend:n,attrs:{shape:G7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},lCe=p((function e(t,n,r){l(this,e),this.variableNames=["A"];var a=t.windowSize,i=t.batchSize,o=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===n?">":"<",u=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ".concat(a,";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          int inIdx = ").concat(u,";\n          float candidate = getA(batch, inIdx);\n          if (candidate ").concat(s," bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ")})),hCe=p((function e(t,n,r,a){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,F$(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var i=t[t.length-1],o=Math.ceil(i/n);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),a||this.variableNames.push("bestIndicesA");var s,u,c=this.outputShape,h=c.length,p=eSe(h),f=zTe("coords",h);if(1===o){var d=eSe(u=h+1);s="\n        ".concat(d," sourceLocR = ").concat(d,"(").concat(f.join(),", 0);\n        ++").concat(f[h-1],";\n        ").concat(d," sourceLocG = ").concat(d,"(").concat(f.join(),", 0);\n        ++").concat(f[h-2],";\n        ").concat(d," sourceLocA = ").concat(d,"(").concat(f.join(),", 0);\n        --").concat(f[h-1],";\n        ").concat(d," sourceLocB = ").concat(d,"(").concat(f.join(),", 0);\n        --").concat(f[h-2],";")}else u=h,s="\n        ".concat(p," sourceLocR = coords;\n        ++").concat(f[h-1],";\n        ").concat(p," sourceLocG = coords;\n        ++").concat(f[h-2],";\n        ").concat(p," sourceLocA = coords;\n        --").concat(f[h-1],";\n        ").concat(p," sourceLocB = coords;\n        --").concat(f[h-2],";");var v=["x","y","z","w","u","v"].slice(0,u),m="."+v[u-1],g=v.map((function(e){return"int "+e})),y=zTe("sourceLocR",u-1).concat("inIdx.r"),b=zTe("sourceLocG",u-1).concat("inIdx.g"),x=zTe("sourceLocB",u-1).concat("inIdx.b"),k=zTe("sourceLocA",u-1).concat("inIdx.a"),w="max"===r?"greaterThan":"lessThan",I=a?"":"\n          inIdx = round(vec4(getBestIndicesAChannel(".concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(b.join(),"),\n                             getBestIndicesAChannel(").concat(x.join(),"),\n                             getBestIndicesAChannel(").concat(k.join(),")));"),N="vec4(\n            getAChannel(".concat(y.join(),"),\n            hasNextCol ? getAChannel(").concat(b.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(x.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(k.join(),") : 0.)"),S=a?"":"\n      float getBestIndicesAChannel(".concat(g.join(),") {\n        return getChannel(getBestIndicesA(").concat(v.join(),"),\n                                          vec2(").concat(v.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(g.join(),") {\n        return getChannel(getA(").concat(v.join(),"),\n                               vec2(").concat(v.slice(-2).join(),"));\n      }\n      ").concat(S,"\n      void main() {\n        ").concat(p," coords = getOutputCoords();\n        bool hasNextCol = ").concat(f[h-1]," < ").concat(c[h-1]-1,";\n        bool hasNextRow = ").concat(f[h-2]," < ").concat(c[h-2]-1,";\n        ").concat(s,"\n        ivec4 srcIdx = ivec4(sourceLocR").concat(m,", sourceLocG").concat(m,",\n          sourceLocB").concat(m,", sourceLocA").concat(m,") * ").concat(n,";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ").concat(N,";\n\n        for (int i = 0; i < ").concat(n,"; i++) {\n          inIdx = srcIdx;\n          ").concat(I,"\n          vec4 candidate = ").concat(N,";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(").concat(w,"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    ")}));function pCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=nie(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new lCe(s,n,null==r),c=[t];null!=r&&c.push(r);var l=e.runWebGLProgram(u,c,"int32");if(1===l.shape[1])return l;var h=pCe(e,t,n,l);return e.disposeIntermediateTensorInfo(l),h}function fCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=null!=r?r.shape:t.shape,i=a[a.length-1],o=nie(i),s=new hCe(a,o,n,null==r),u=null==r?[t]:[t,r],c=e.runWebGLProgram(s,u,"int32");if(c.shape.length===t.shape.length){var l=fCe(e,t,n,c);return e.disposeIntermediateTensorInfo(c),l}return c}function dCe(e,t,n,r){var a=[n];if(j7("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!k0().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=S(U7(s.shape,a),2),c=u[0],l=L$(u[1]),h=LEe({inputs:{x:s},backend:e,attrs:{shape:[-1,l]}});i.push(h);var p=pCe(e,h,r);i.push(p);var f=LEe({inputs:{x:p},backend:e,attrs:{shape:c}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return fCe(e,t,r)}var vCe={kernelName:_0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=qEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMax",[i[0]],s.shape.length);var c=dCe(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}};var mCe={kernelName:O0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=qEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMin",[i[0]],s.shape.length);var c=dCe(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},gCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),yCe={kernelName:F0,backendName:"webgl",kernelFunc:gCe},bCe=TEe({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),xCe={kernelName:D0,backendName:"webgl",kernelFunc:bCe},kCe=TEe({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),wCe={kernelName:M0,backendName:"webgl",kernelFunc:kCe},ICe=EEe({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  \n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n\n  return result;\n"}),NCe={kernelName:z0,backendName:"webgl",kernelFunc:ICe},SCe=TEe({opSnippet:"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),TCe={kernelName:L0,backendName:"webgl",kernelFunc:SCe},ECe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideHeight,u=t.strideWidth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===n,g="((batch  * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),b="0.0";if(m||(b="-1.0 / 1e-20"),r){var x=">=";this.userCode="\n        const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n        const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ").concat(p,";\n              wR += ").concat(c,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(f,";\n                wC += ").concat(h,") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ").concat(x," currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ").concat(a?i?g:y:"wR * ".concat(f," + wC"),";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var k="max",w="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(w="avgValue / max(count, 1.0)");var I=4*Math.floor(o/4),N=o%4,S="\n      if (".concat(m,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(k,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n      const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n      const float initializationValue = ").concat(b,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(b,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ").concat(p,";\n            wR += ").concat(c,") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(I,"; wC += 4) {\n            int xC = xCCorner + wC * ").concat(h,";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              getValue(batch, xR, xC + 3 * ").concat(h,", d)\n            );\n\n            ").concat(S,"\n          }\n\n          int xC = xCCorner + ").concat(I,";\n          if (").concat(1===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(2===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(3===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              initializationValue\n            );\n\n            ").concat(S,"\n          }\n        }\n        setOutput(").concat(w,");\n      }\n    ")}})),CCe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideDepth,u=t.strideHeight,c=t.strideWidth,h=t.dilationDepth,p=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,v=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var x="avg"===n,k="0.0";if(x||(k="-1.0 / 1e-20"),r){var w=">=";this.userCode="\n        const ivec3 strides =\n            ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n        const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ").concat(d,";\n              wD += ").concat(h,") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int wR = 0; wR < ").concat(v,";\n                wR += ").concat(p,") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int wC = 0; wC < ").concat(m,";\n                  wC += ").concat(f,") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ").concat(w," currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ").concat(a?i?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(v," * ").concat(m," +\n                      wR * ").concat(m," + wC"),";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var I="max",N="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(N="avgValue / max(count, 1.0)");var S=4*Math.floor(o/4),T=o%4,E="\n      if (".concat(x,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(I,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec3 strides =\n        ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n      const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n      const float initializationValue = ").concat(k,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(k,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ").concat(d,";\n            wD += ").concat(h,") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(v,";\n            wR += ").concat(p,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(S,"; wC += 4) {\n              int xC = xCCorner + wC * ").concat(f,";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 3 * ").concat(f,", ch)\n              );\n\n              ").concat(E,"\n            }\n\n            int xC = xCCorner + ").concat(S,";\n            if (").concat(1===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(2===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(3===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                initializationValue\n              );\n\n              ").concat(E,"\n            }\n          }\n        }\n        setOutput(").concat(N,");\n      }\n    ")}}));var ACe={kernelName:P0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;TNe(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(L8(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return mEe({inputs:{x:a},backend:n});var l=new ECe(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var RCe={kernelName:W0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=S8(a.shape,i,o,[1,1,1],s,u,c),h=new CCe(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},_Ce=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(h,", ").concat(p,");\n      const float avgMultiplier = float(").concat(f,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(u,";\n            wR += ").concat(o,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(c,";\n            wC+= ").concat(s,") {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),OCe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,v=p-1-t.padInfo.front,m=f-1-t.padInfo.top,g=d-1-t.padInfo.left,y=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(v,", ").concat(m,", ").concat(g,");\n      const float avgMultiplier = float(").concat(y,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(p,";\n            wD += ").concat(u,") {\n          float dyD = float(dyDCorner + wD) / ").concat(i,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(f,";\n              wR += ").concat(c,") {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(d,";\n                wC += ").concat(h,") {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var FCe={kernelName:V0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=S8(i.shape,o,s,[1,1,1],u,c),h=new OCe(l);return n.runWebGLProgram(h,[a],i.dtype)}};var DCe={kernelName:B0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;TNe([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=N8(o.shape,s,u,1,c),h=new _Ce(l);return n.runWebGLProgram(h,[a],o.dtype)}};var MCe={kernelName:U0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return XEe({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},LCe=p((function e(t,n,r,a,i,o){l(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],A7(t,n),A7(t,r);var s="0.0";null!=a&&(A7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(A7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(u,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),zCe=p((function e(t,n,r,a,i,o){l(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],A7(t,n),A7(t,r);var s="vec4(0.0)";null!=a&&(A7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="vec4(1.0)";null!=i&&(A7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(u,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(o,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")})),PCe={kernelName:M1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;F$(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=S(Wae(a,r.begin,r.size),2),o=i[0],s=i[1];if(Cae(a,o,s),0===L$(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),c=kTe(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,c)}var l=n.texData.get(a.dataId).isPacked,h=Pae(a.shape,o,s);if(l||!h){var p=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new VCe(s):new BCe(s),f=[o];return n.runWebGLProgram(p,[a],a.dtype,f)}return n.uploadToGPU(a.dataId),function(e,t,n,r){var a=r.texData.get(e.dataId),i=r.makeTensorInfo(n,e.dtype),o=r.texData.get(i.dataId);Object.assign(o,a),o.refCount=1,o.shape=n,o.dtype=e.dtype;var s=Bae(t,i0(e.shape));a.slice&&(s+=a.slice.flatOffset),o.slice={flatOffset:s,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var GCe={kernelName:Z2,backendName:"webgl",kernelFunc:UCe},jCe={kernelName:G0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;F$(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=aie(a.shape,i,s),c=iie(u.length,i.length),l=oie(a.shape,i,s),h=sie(o,i.length),p=uie(l,o,i.length),f=[],d=LEe({inputs:{x:a},backend:n,attrs:{shape:u}}),v=qEe({inputs:{x:d},backend:n,attrs:{perm:c}}),m=LEe({inputs:{x:v},backend:n,attrs:{shape:l}}),g=UCe({inputs:{x:m},backend:n,attrs:{begin:h,size:p}});return f.push(d),f.push(v),f.push(m),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var HCe={kernelName:j0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=USe(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}};var qCe={kernelName:H0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS"),s=k0().getNumber("WEBGL_VERSION");if(r.shouldExecuteOnCPU([a,i])||1===s){var u=r.texData.get(a.dataId).values,c=r.texData.get(i.dataId).values,l=S(jSe(a.shape,i.shape,u,c,a.dtype),2),h=l[0],p=l[1],f=r.makeTensorInfo(p,a.dtype);return r.texData.get(f.dataId).values=h,f}return t=o?new vEe("\n  int r = int(a.r) & int(b.r);\n  int g = int(a.g) & int(b.g);\n  int rb = int(a.b) & int(b.b);\n  int ra = int(a.a) & int(b.a);\n  return vec4(r, g, rb, ra);\n",a.shape,i.shape,!1):new fEe("\n  return float(int(a.r) & int(b.r));\n",a.shape,i.shape),r.runWebGLProgram(t,[a,i],a.dtype)}};var KCe={kernelName:K0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=A7(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},XCe=EEe({opSnippet:"return float(a != b);",cpuKernelImpl:hTe,dtype:"bool"}),YCe={kernelName:b2,backendName:"webgl",kernelFunc:XCe};function JCe(e){var t=e.inputs,n=e.backend,r=t.input;return mEe({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var ZCe={kernelName:D2,backendName:"webgl",kernelFunc:JCe};var QCe={kernelName:X0,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return mEe({inputs:{x:i},backend:r});var s=H9(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),c=yEe({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),c}if("complex64"===i.dtype){var l=JCe({inputs:{input:i},backend:r}),h=e({inputs:{x:l},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(l),h}if(!J$(i.dtype,o)){var p=mEe({inputs:{x:i},backend:r});return{dataId:p.dataId,shape:p.shape,dtype:o}}if(r.shouldExecuteOnCPU([i])){var f=r.texData.get(i.dataId).values,d=S(HSe(f,i.shape,i.dtype,o),3),v=d[0],m=d[1],g=d[2];return r.makeTensorInfo(v,m,g)}if("int32"===o)return function(e,t){var n=new jTe(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var y=r.makeTensorInfo([],"bool",q$("bool",1)),b=XCe({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast ".concat(i.dtype," to ").concat(o))}},$Ce="return ceil(x);",eAe=TEe({opSnippet:$Ce,packedOpSnippet:$Ce,cpuKernelImpl:qSe}),tAe={kernelName:Y0,backendName:"webgl",kernelFunc:eAe},nAe=p((function e(t){l(this,e),this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode="\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "})),rAe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode="\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}));var aAe={kernelName:J0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.clipValueMin,s=a.clipValueMax;t=k0().getBool("WEBGL_PACK_CLIP")?new rAe(i.shape):new nAe(i.shape);var u=[[o],[s]];return r.runWebGLProgram(t,[i],i.dtype,u)}},iAe=p((function e(t){l(this,e),this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "}));function oAe(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var sAe={kernelName:Q0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new iAe(r.shape),o=[oAe(r,a.complexTensorInfos.real),oAe(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},uAe=p((function e(t){l(this,e),this.outputShape=[],this.outputShape=Zae(t,1),this.variableNames=t.map((function(e,t){return"T".concat(t)}));var n=new Array(t.length-1);n[0]=t[0][1];for(var r=1;r<n.length;r++)n[r]=n[r-1]+t[r][1];for(var a=["if (yC < ".concat(n[0],") setOutput(getT0(yR, yC));")],i=1;i<n.length;i++){var o=n[i-1];a.push("else if (yC < ".concat(n[i],") ")+"setOutput(getT".concat(i,"(yR, yC-").concat(o,"));"))}var s=n.length,u=n[n.length-1];a.push("else 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getT").concat(v,"(").concat(lAe(s,h,m),"),\n            vec2(").concat(lAe(p,h,m),"));\n        }")}var g=u.length,y=u[u.length-1];d+="\n        return getChannel(\n          getT".concat(g,"(").concat(lAe(s,h,y),"),\n          vec2(").concat(lAe(p,h,y),"));"),this.userCode="\n      float getValue(".concat(s.map((function(e){return"int "+e})),") {\n        ").concat(d,"\n      }\n\n      void main() {\n        ").concat(i," coords = getOutputCoords();\n        vec4 result = vec4(getValue(").concat(o,"), 0., 0., 0.);\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," + 1;\n        if (").concat(o[a-1]," < ").concat(r[a-1],") {\n          result.g = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-2]," = ").concat(o[a-2]," + 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2],") {\n          result.a = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," - 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2]," &&\n            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l=e.map((function(e){var r=L$(e.shape.slice(t));return LEe({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),h=l.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),p=Zae(l.map((function(e){return e.shape})),1),f=1===l[0].shape[0],d=KSe(h,p,r,f),v=Zae(e.map((function(e){return e.shape})),t),m=n.makeTensorInfo(v,r,d);return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}var g=e.filter((function(e){return L$(e.shape)>0})),y=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new jTe(e[0].shape,ZTe):new aEe(e[0].shape,ZTe);return n.runWebGLProgram(b,e,r)}var x=k0().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>x){for(var k=[],w=0;w<g.length;w+=x){var I=g.slice(w,w+x);k.push(fAe(I,t,n))}for(var N=fAe(k,t,n),S=0,T=k;S<T.length;S++){var E=T[S];n.disposeIntermediateTensorInfo(E)}return N}if(y){var C=new cAe(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(C,g,r)}var A=function(e,t,n){var r=Zae(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return LEe({inputs:{x:e},attrs:{shape:[-1,L$(e.shape.slice(t))]},backend:n})})),outShape:r}}(g,t,n),R=A.tensors2D,_=A.outShape,O=new uAe(R.map((function(e){return e.shape}))),F=n.runWebGLProgram(O,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var D=LEe({inputs:{x:F},attrs:{shape:_},backend:n});return n.disposeIntermediateTensorInfo(F),D}function dAe(e){var t=e.inputs,n=e.backend,r=j$(e.attrs.axis,t[0].shape)[0];Jae(t.map((function(e){return e.shape})),r);var a=Zae(t.map((function(e){return e.shape})),r);if(0===L$(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return L$(e.shape)>0}));return 1===i.length?mEe({inputs:{x:i[0]},backend:n}):fAe(i,r,n)}var vAe={kernelName:$0,backendName:"webgl",kernelFunc:dAe},mAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,p=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,v=4*Math.floor(t.inChannels/4),m=t.inChannels%4,g="channelsLast"===t.dataFormat,y=g?1:2,b=g?2:3,x=g?3:1,k="",w="";r&&(k=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),w="result = activation(result);");var I=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(k,"\n\n      const ivec2 strides = ivec2(").concat(u,", ").concat(c,");\n      const ivec2 pads = ivec2(").concat(o,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[").concat(x,"];\n\n        ivec2 xRCCorner =\n            ivec2(coords[").concat(y,"], coords[").concat(b,"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(f,"; wR++) {\n          int xR = xRCorner + wR * ").concat(h,";\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(d,"; wC++) {\n            int xC = xCCorner + wC * ").concat(p,";\n\n            if (xC < 0 || xC >= ").concat(t.inWidth,") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ").concat(v,"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (").concat(g,") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (").concat(1===m,") {\n\n              if (").concat(g,") {\n                dotProd +=\n                    getX(batch, xR, xC, ").concat(v,") *\n                    getW(wR, wC, ").concat(v,", d2);\n              } else {\n                dotProd +=\n                    getX(batch, ").concat(v,", xR, xC) *\n                    getW(wR, wC, ").concat(v,", d2);\n              }\n\n            } else if (").concat(2===m,") {\n              vec2 wValues = vec2(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2)\n              );\n\n              if (").concat(g,") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (").concat(3===m,") {\n              vec3 wValues = vec3(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2),\n                getW(wR, wC, ").concat(v," + 2, d2)\n              );\n\n              if (").concat(g,") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1),\n                  getX(batch, xR, xC, ").concat(v," + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC),\n                  getX(batch, ").concat(v," + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ").concat(I,"\n        ").concat(w,"\n        setOutput(result);\n      }\n    ")})),gAe=p((function e(t){l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.padInfo.front,r=t.padInfo.top,a=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.filterDepth,f=t.filterHeight,d=t.filterWidth,v=4*Math.floor(t.inChannels/4),m=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3(".concat(i,", ").concat(o,", ").concat(s,");\n      const ivec3 pads = ivec3(").concat(n,", ").concat(r,", ").concat(a,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(p,"; wF++) {\n          int xF = xFCorner + wF * ").concat(u,";\n\n          if (xF < 0 || xF >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(f,"; wR++) {\n            int xR = xRCorner + wR * ").concat(c,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(d,"; wC++) {\n              int xC = xCCorner + wC * ").concat(h,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ").concat(v,"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (").concat(1===m,") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ").concat(v,") *\n                  getW(wF, wR, wC, ").concat(v,", d2);\n              } else if (").concat(2===m,") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (").concat(3===m,") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1),\n                  getX(batch, xF, xR, xC, ").concat(v," + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2),\n                  getW(wF, wR, wC, ").concat(v," + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),yAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);for(var o=t.padInfo.left,s=t.strideWidth,u=t.dilationWidth,c=t.filterHeight,h=t.filterWidth,p=h,f="\n       int xR; int xC; int xCOffset;\n       vec4 wTexel; vec4 previous; vec4 final;",d=0;d<h;d++)f+="\n           vec4 xTexelC".concat(2*d,";\n           int xTexelC").concat(2*d,"Ready;\n           vec4 xTexelC").concat(2*d+1,";\n           int xTexelC").concat(2*d+1,"Ready;\n           vec4 xC").concat(d,";");f+="\n     for (int r = 0; r < ".concat(c,"; r++) {\n      for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n       ");for(var v=0;v<h;v++)f+="\n           xTexelC".concat(2*v," = vec4(0.0);\n           xTexelC").concat(2*v,"Ready = 0;\n           xTexelC").concat(2*v+1," = vec4(0.0);\n           xTexelC").concat(2*v+1,"Ready = 0;\n           xC").concat(v," = vec4(0.0);");f+="\n         xR = xRCorner + r * dilations[0];\n         if (xR >=0 && xR < inDims[0]) {\n       ";for(var m=0;m<(p+1)/2;m++){var g=2*m;if(f+="\n           xC = xCCorner + ".concat(g*u,";\n           "),1===s){if(g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1;\n                 if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n               "),f+=1===u&&g>0?"\n                 xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n                 "):"\n                   xCOffset = xC + 1 - 2;\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       previous.zw = vec2(0.0);\n                     }\n\n                     xC".concat(g," = vec4(previous.zw, xTexelC").concat(g,".xy);\n                   } else {\n                     xC").concat(g," = vec4(0.0, 0.0, xTexelC").concat(g,".xy);\n                   }\n                   ")):f+="\n                 if (xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xC").concat(g," = xTexelC").concat(g,";\n                 "),g+1<h)){var y=o%2==0?R$(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(f+="\n                   xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                     xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       xTexelC").concat(g+1,".zw = vec2(0.0);\n                     }\n                     xTexelC").concat(g+1,"Ready = 1;\n                   }\n                   "),f+=u>1?"\n                     xCOffset -= 2;\n                     if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                      previous = getX(batch, xR, xCOffset, d1);\n                      xC".concat(g+1," = vec4(previous.zw, xTexelC").concat(g+1,".xy);\n                     } else {\n                      xC").concat(g+1," = vec4(0.0, 0.0, xTexelC").concat(g+1,".xy);\n                     }\n                     "):"\n                     xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".xy);\n                     ")):f+=1===y?"\n                     xC".concat(g+1," = xTexelC").concat(g,";\n                     "):"\n                     xCOffset = xC + ".concat(y,";\n\n                     if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                       xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                       if (xCOffset + 1 >= inDims[1]) {\n                         xTexelC").concat(g+1,".zw = vec2(0.0);\n                       }\n                       xTexelC").concat(g+1,"Ready = 1;\n                     }\n\n                     xC").concat(g+1," = xTexelC").concat(g+1,";\n                     ")}}else g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1 - strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xC + 1, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xC + 2 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n               "),g+1<h&&(f+="\n                   final = vec4(0.0);\n                   xCOffset = xC + 1 + strides[1];\n                   if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                     final = getX(batch, xR, xCOffset, d1);\n                   }\n                   xC".concat(g+1," = vec4(xTexelC").concat(g+1,".xy, final.xy);\n                 "))):(f+="\n                 if(xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xCOffset = xC + strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(\n                   xTexelC").concat(g,".xy, xTexelC").concat(g+1,".xy);\n               "),g+1<h&&(f+="\n                   xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n                 "))));g<h&&(f+="\n             wTexel = getW(r, ".concat(g,", d1, d2);\n             dotProd += xC").concat(g,".xxzz * vec4(wTexel.xy, wTexel.xy);\n             if(d1 + 1 < ").concat(t.inChannels,") {\n               dotProd += xC").concat(g,".yyww * vec4(wTexel.zw, wTexel.zw);\n             }\n           "),g+1<h&&(f+="\n               wTexel = getW(r, ".concat(g+1,", d1, d2);\n               dotProd += xC").concat(g+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n               if(d1 + 1 < ").concat(t.inChannels,") {\n                 dotProd += xC").concat(g+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n               }\n             ")))}f+="\n     }\n   ",f+="\n     }\n   ",f+="\n     }\n   ";var b="",x="";r&&(b=a?"vec4 activation(vec4 a) {\n           vec4 b = getPreluActivationWeightsAtOutCoords();\n           ".concat(r,"\n         }"):i?"vec4 activation(vec4 a) {\n           vec4 b = getLeakyreluAlphaAtOutCoords();\n           ".concat(r,"\n         }"):"vec4 activation(vec4 x) {\n           ".concat(r,"\n         }"),x="result = activation(result);");var k=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n       ".concat(b,"\n\n       void main() {\n         ivec4 coords = getOutputCoords();\n         int batch = coords.x;\n         ivec2 xRCCorner = coords.yz * strides - pads;\n         int d2 = coords.w;\n         int xRCorner = xRCCorner.x;\n         int xCCorner = xRCCorner.y;\n\n         //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n         vec4 dotProd = vec4(0.000000000000001);\n\n         ").concat(f,"\n\n         vec4 result = dotProd - vec4(0.000000000000001);\n         ").concat(k,"\n         ").concat(x,"\n         setOutput(result);\n       }\n     ")})),bAe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=cSe(this.outputShape.length);for(var r=n.dataFormat,a=ANe(),i="channelsLast"===r,o=i?1:2,s=i?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),c="",h=0;h<=1;h++)for(var p=0;p<=1;p++)c+="\n          blockIndex = rc.z + ".concat(p,";\n          pos = rc.y + ").concat(h,";\n\n          ").concat(u,"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape[").concat(o,"] && d0 >= 0) {\n              // Use custom imod instead mod. On Intel GPU, mod may generate\n              // unexpected value.\n              // https://github.com/tensorflow/tfjs/issues/5447\n              offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n              d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n                  inChannels);\n\n              if(d1 < inputShape[").concat(s,"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if (").concat(i,") {\n                  innerDims = vec2(d1, ch);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ");this.userCode="\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ".concat(c,"\n\n        ").concat(a.output," = result;\n      }\n    ")}));function xAe(e,t){var n=e.length;return n>=3?[].concat(T(e.slice(0,-3)),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function kAe(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=n.shape,v=i.texData.get(n.dataId),m=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=c){var k=xAe(c.shape,b);null!=k&&(c=LEe({inputs:{x:c},backend:i,attrs:{shape:k}}),x.push(c))}if(null!=s){var w=xAe(s.shape,b);null!=w&&(s=LEe({inputs:{x:s},backend:i,attrs:{shape:w}}),x.push(s))}if(!((1===g||1===y)&&m>1e3)&&v.isPacked&&b&&null!=v.texture&&d[2]%2!=0&&P$(v.shape.slice(-3),d.slice(-3))){var I=d[0]*d[1]*(d[2]+1),N={dataId:n.dataId,shape:[1,I,a.inChannels],dtype:n.dtype},S=v.shape;v.shape=v.shape.slice(),v.shape[v.shape.length-2]++,F$(mNe(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to ").concat(N.shape," isn't free")}));var T=LEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var E=XEe({a:N,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h}),C=i.texData.get(E.dataId);F$(C.isPacked,(function(){return"batchMatMul result is expected to be packed"})),v.shape=S,C.shape=a.outShape,(t=mEe({inputs:{x:E},backend:i})).shape=a.outShape,x.push(E)}else{var A=a.outHeight*a.outWidth,R=LEe({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=LEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=XEe({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h});t=LEe({inputs:{x:O},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(O)}for(var F=0,D=x;F<D.length;F++){var M=D[F];i.disposeIntermediateTensorInfo(M)}return t}function wAe(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,c=e.leakyreluAlpha,l=void 0===c?0:c,h=e.activation,p=void 0===h?null:h,f=r.filterWidth,d=r.filterHeight,v=r.inChannels,m=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*v,x=g*m,k=[r.batchSize,b,x],w=[];if(null!=u){var I=xAe(u.shape,y);null!=I&&(u=LEe({inputs:{x:u},backend:a,attrs:{shape:I}}),w.push(u))}if(null!=o){var N=xAe(o.shape,y);null!=N&&(o=LEe({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var S=LEe({inputs:{x:n},backend:a,attrs:{shape:[1,b,L$(n.shape)/b]}});w.push(S);var T=new bAe(k,r),E=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],C=a.runWebGLProgram(T,[t],"float32",E),A=LEe({inputs:{x:C},backend:a,attrs:{shape:k}});w.push(C),w.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===p,F=p?CEe(p,!0):null,D=new AEe(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",M4(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=LEe({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});w.push(z);for(var B=0,W=w;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var IAe={kernelName:e1,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dataFormat,l=a.dilations,h=a.dimRoundingMode,p=P8(c),f=T8(i.shape,o.shape,s,l,u,h,!1,p);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(f.strideWidth<=2&&"channelsLast"===p&&k0().getBool("WEBGL_EXP_CONV")){var d=new yAe(f),v=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",v)}else if(k0().getBool("WEBGL_CONV_IM2COL"))t=wAe({x:i,filter:o,convInfo:f,backend:r});else{var m=new mAe(f);t=r.runWebGLProgram(m,[i,o],"float32")}else t=kAe({x:i,filter:o,convInfo:f,backend:r});var g=LEe({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},NAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              ").concat(o?"float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n              float xValue = getX(b, d1, xR, xC);\n              dotProd += (xValue * dyValue);","\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),SAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o="channelsLast"===t.dataFormat,s=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=o?1:2,h=o?2:3,p=o?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[").concat(p,"];\n\n        ivec2 dyCorner = ivec2(coords[").concat(c,"], coords[").concat(h,"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n\n              if (").concat(o,") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),TAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,s=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yF = 0; yF < ").concat(t.outDepth,"; yF++) {\n            int xF = wF + yF * ").concat(n," - ").concat(i,";\n\n            if (xF < 0 || xF >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n              int xR = wR + yR * ").concat(r," - ").concat(o,";\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n                int xC = wC + yC * ").concat(a," - ").concat(s,";\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),EAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=n-1-t.padInfo.front,c=r-1-t.padInfo.top,h=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(u,", ").concat(c,", ").concat(h,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(n,"; wF++) {\n          float dyF = float(dyFCorner + wF) / ").concat(i,".0;\n\n          if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ").concat(n," - 1 - wF;\n\n          for (int wR = 0; wR < ").concat(r,"; wR++) {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ").concat(r," - 1 - wR;\n\n            for (int wC = 0; wC < ").concat(a,"; wC++) {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ").concat(a," - 1 - wC;\n\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var CAe={kernelName:t1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=r.filterShape,h=P8(u),p=T8(a.shape,l,o,1,s,c,!1,h),f=new NAe(p);return n.runWebGLProgram(f,[a,i],"float32")}},AAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=cSe(this.outputShape.length);var n=t.filterHeight,r=t.filterWidth,a=n-1-t.padInfo.top,i=r-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        vec4 result = vec4(0.);\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / strides[0];\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            float dyC = float(dyCCorner + wC) / strides[1];\n            bool idyCVal = (dyC >= 0.0) && (dyC < ").concat(t.outWidth,".0)\n              && (fract(dyC) == 0.0);\n            int idyC = int(dyC);\n\n            float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n            bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ").concat(t.outWidth,".0)\n              && (fract(dyC2) == 0.0);\n            int idyC2 = int(dyC2);\n\n            if (idyCVal && idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n                  dySample : getDy(batch, idyR, idyC2, d2);\n\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n\n                dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample2.xy : dySample2.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC2, d2);\n                vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            }\n          }\n        }\n        setOutput(result);\n      }\n    ")}));var RAe={kernelName:n1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode,h=P8(c),p=T8(o,i.shape,s,1,u,l,!1,h);if(k0().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&"channelsLast"===h){var f=[[p.strideHeight,p.strideWidth]],d=new AAe(p);return n.runWebGLProgram(d,[a,i],"float32",f)}var v=new SAe(p);return n.runWebGLProgram(v,[a,i],"float32")}};var _Ae={kernelName:r1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=E8(a.shape,i.shape,o,u,s),l=new gAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var OAe={kernelName:a1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,c=E8(a.shape,u,o,1,s),l=new TAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var FAe,DAe={kernelName:i1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=E8(r.inputShape,i.shape,s,1,o),c=new EAe(u);return n.runWebGLProgram(c,[a,i],"float32")}},MAe=TEe({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n",packedOpSnippet:"\n  vec4 result = cos(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(dEe,"\n  return result;\n")}),LAe={kernelName:o1,backendName:"webgl",kernelFunc:MAe},zAe=TEe({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),PAe={kernelName:s1,backendName:"webgl",kernelFunc:zAe},BAe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3],p=S(n,1)[0],f=S(r,2),d=f[0],v=f[1];this.outputShape=[p,d,v,h];var m="bilinear"===a?1:0,g="".concat(u-1,".0"),y="".concat(c-1,".0"),b=S(d>1?["".concat((u-1)/(d-1)),"(y2-y1) * height_ratio","y1*".concat(g," + float(y)*(height_scale)")]:["0.0","0.0","0.5 * (y1+y2) * ".concat(g)],3),x=b[0],k=b[1],w=b[2],I=S(v>1?["".concat((c-1)/(v-1)),"(x2-x1) * width_ratio","x1*".concat(y," + float(x)*(width_scale)")]:["0.0","0.0","0.5 * (x1+x2) * ".concat(y)],3),N=I[0],T=I[1],E=I[2];this.userCode="\n      const float height_ratio = float(".concat(x,");\n      const float width_ratio = float(").concat(N,");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ").concat(s,") {\n          return;\n        }\n\n        float height_scale = ").concat(k,";\n        float width_scale = ").concat(T,";\n\n        float in_y = ").concat(w,";\n        if( in_y < 0.0 || in_y > ").concat(g," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n        float in_x = ").concat(E,";\n        if( in_x < 0.0 || in_x > ").concat(y," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(").concat(m," == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    ")})),WAe={kernelName:l1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=new BAe(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(FAe||(FAe={}));var VAe=p((function e(t,n,r,a){l(this,e),this.op=t,this.outputShape=n,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var i=this.outputShape.length,o=this.op===FAe.Prod?"1.0":"0.0",s=r?o:"getX(".concat(UAe(i,"coords",this.op),")"),u=this.outputShape[this.outputShape.length-1],c="",h="";r?(c=a?"end != ".concat(u-1):"end != 0",h=a?"end + 1":"end - 1"):(c=a?"end + pow2 < ".concat(u):"end >= pow2",h=a?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        ".concat(eSe(i)," coords = getOutputCoords();\n        int end = ").concat(GAe(i,"coords",this.op),";\n        float val = ").concat(s,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(c,") {\n          int idx = ").concat(h,";\n          ").concat(GAe(i,"coords",this.op)," = idx;\n          val ").concat(this.op,"= getX(").concat(UAe(i,"coords",this.op),");\n        }\n        setOutput(val);\n      }\n    ")}));function UAe(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".x, ").concat(t,".y");if(3===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z");if(4===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z, ").concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function GAe(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".y");if(3===e)return"".concat(t,".z");if(4===e)return"".concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function jAe(e,t,n,r,a,i){var o=t.shape.length,s=H7([r],o),u=t;null!=s&&(u=qEe({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=K7(1,o)[0];if(c!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis=".concat(t.shape.length-1," ")+"but got axis=".concat(r));for(var l=u.shape[c],h=mEe({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var f=new VAe(e,u.shape,!1,i),d=[[p]],v=h;h=n.runWebGLProgram(f,[h],h.dtype,d),n.disposeIntermediateTensorInfo(v)}if(a){var m=new VAe(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=qEe({inputs:{x:h},backend:n,attrs:{perm:q7(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var HAe={kernelName:u1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return jAe(FAe.Prod,a,n,i,o,s)}};var qAe={kernelName:c1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return jAe(FAe.Sum,a,n,i,o,s)}};var KAe={kernelName:h1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=USe(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),p=n.bufferSync(i),f=GSe(h,p,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},XAe=function(){function e(t,n,r){l(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return p(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}();var YAe={kernelName:p1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new XAe("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},JAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",h="";r&&(c=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),h="result = activation(result);");var p=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(c,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(u,";\n        int q = d2 - d1 * ").concat(u,";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ").concat(o,"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(s,"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ").concat(p,"\n        ").concat(h,"\n        setOutput(result);\n      }\n    ")})),ZAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=cSe(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,h=t.filterHeight,p=t.filterWidth,f=p,d="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",v=0;v<p;v++)d+="\n          vec4 xTexelC".concat(2*v,";\n          int xTexelC").concat(2*v,"Ready;\n          vec4 xTexelC").concat(2*v+1,";\n          int xTexelC").concat(2*v+1,"Ready;\n          vec4 xC").concat(v,";");d+="\n    for (int r = 0; r < ".concat(h,"; r++) {\n      ");for(var m=0;m<p;m++)d+="\n          xTexelC".concat(2*m," = vec4(0.0);\n          xTexelC").concat(2*m,"Ready = 0;\n          xTexelC").concat(2*m+1," = vec4(0.0);\n          xTexelC").concat(2*m+1,"Ready = 0;\n          xC").concat(m," = vec4(0.0);");d+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var g=0;g<(f+1)/2;g++){var y=2*g;if(d+="\n          xC = xCCorner + ".concat(y*c,";\n          "),1===u){if(y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n              "),d+=1===c&&y>0?"\n                xC".concat(y," = vec4(xTexelC").concat(y-2,".zw, xTexelC").concat(y,".xy);\n                "):"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC".concat(y," = vec4(previous.zw, xTexelC").concat(y,".xy);\n                  } else {\n                    xC").concat(y," = vec4(0.0, 0.0, xTexelC").concat(y,".xy);\n                  }\n                  ")):d+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                xC").concat(y," = xTexelC").concat(y,";\n                "),y+1<p)){var b=s%2==0?R$(c):c;c%2==0&&s%2==1||c%2!=0&&s%2!=1?(d+="\n                  xCOffset = xC + imod(pads[1], 2) + ".concat(b,";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                    xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC").concat(y+1,".zw = vec2(0.0);\n                    }\n                    xTexelC").concat(y+1,"Ready = 1;\n                  }\n                  "),d+=c>1?"\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n                     xC".concat(y+1," = vec4(previous.zw, xTexelC").concat(y+1,".xy);\n                    } else {\n                     xC").concat(y+1," = vec4(0.0, 0.0, xTexelC").concat(y+1,".xy);\n                    }\n                    "):"\n                    xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".xy);\n                    ")):d+=1===b?"\n                    xC".concat(y+1," = xTexelC").concat(y,";\n                    "):"\n                    xCOffset = xC + ".concat(b,";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                      xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC").concat(y+1,".zw = vec2(0.0);\n                      }\n                      xTexelC").concat(y+1,"Ready = 1;\n                    }\n\n                    xC").concat(y+1," = xTexelC").concat(y+1,";\n                    ")}}else y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                  xTexelC").concat(y+1," = getX(batch, xR, xC + 1, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xC + 2 >= inDims[1]) {\n                    xTexelC").concat(y+1,".zw = vec2(0.0);\n                  }\n              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n=ANe(),r=S(t,2),a=r[0],i=r[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(".concat(i,".0, ").concat(a,".0);\n            vec4 values = ").concat(n.texture2D,"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n     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WRe={kernelName:M3,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,c=a.strides,l=a.pad,h=a.dataFormat,p=a.dilations,f=a.dimRoundingMode,d=a.activation,v=a.leakyreluAlpha,m=P8(h),g=T8(i.shape,o.shape,c,p,l,f,!1,m),y=[],b=null!=s,x=null!=u,k="leakyrelu"===d,w=function(){var e=[i,o],t=function(e,t){if("NCHW"===t&&1===e.shape.length&&1!==e.shape[0]){var n=LEe({inputs:{x:e},backend:r,attrs:{shape:[e.shape[0],1,1]}});return y.push(n),n}return e};if(b&&e.push(t(s,h)),x&&e.push(t(u,h)),k){var n=r.makeTensorInfo([],"float32",M4(v,"float32"));e.push(n),y.push(n)}return e};if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(g.strideWidth<=2&&"channelsLast"===m&&k0().getBool("WEBGL_EXP_CONV")){var I=d?CEe(d,!0):null,N=new 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URe(o,p,[l,h],r.shape),b=n.runWebGLProgram(y,[d,f],d.dtype),x=LEe({inputs:{x:b},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},jRe=p((function e(t,n){l(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=eSe(this.rank),a=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push("".concat(n[a]));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(r," resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < ").concat(t[2],") ? 1.0 : 0.0;\n        setOutput(inBounds * getA(").concat(a,"));\n      }\n    ")}));function HRe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=j$(o,a.shape)[0];if(k0().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var 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float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),d_e={kernelName:Q1,backendName:"webgl",kernelFunc:f_e},v_e=TEe({opSnippet:"return float(!(x >= 1.0));"}),m_e={kernelName:$1,backendName:"webgl",kernelFunc:v_e},g_e=EEe({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),y_e={kernelName:e2,backendName:"webgl",kernelFunc:g_e},b_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[];var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -".concat(s,"; j <= ").concat(s,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(u,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(o,";\n        setOutput(val);\n      }\n    ")})),x_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ".concat(this.outputShape[3],";\n        bool hasNextRow = c < ").concat(this.outputShape[2],";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ").concat(s,";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ").concat(s,"; j <= ").concat(s,"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(").concat(u,"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            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depthEnd = int(min(float(").concat(this.depth,"),\n              float(d + ").concat(n," + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ").concat(this.depth,";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(").concat(a,") * norm + float(").concat(r,");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(").concat(a,")\n                * float(").concat(i,")\n                * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ").concat(i,");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    ")})),I_e={kernelName:r2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,c=r.alpha,l=r.beta,h=new w_e(a.shape,s,u,c,l);return n.runWebGLProgram(h,[a,i,o],a.dtype)}};function N_e(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=H7(c,s),h=null!=l,p=n.shouldExecuteOnCPU([a]),f=a;if(h){if(p){for(var d=n.texData.get(f.dataId).values,v=new Array(s),m=0;m<v.length;m++)v[m]=a.shape[l[m]];var 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"+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return mEe({inputs:{x:a},backend:n});var l=new ECe(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var A_e={kernelName:u2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=S8(a.shape,i,o,[1,1,1],s,c,u),h=new CCe(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},R_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(i,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(o,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ").concat(c," - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ").concat(o," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),__e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=u-1-t.padInfo.front,f=c-1-t.padInfo.top,d=h-1-t.padInfo.left,v=u*c*h-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(p,", ").concat(f,", ").concat(d,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(u,";\n           wD += ").concat(i,") {\n          float dyD = float(dyDCorner + wD) / ").concat(n,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(c,";\n              wR += ").concat(o,") {\n            float dyR = float(dyRCorner + wR) / ").concat(r,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(h,";\n                wC += ").concat(s,") {\n              float dyC = float(dyCCorner + wC) / ").concat(a,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ").concat(v," -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ").concat(c," * ").concat(h," +\n                  wR * ").concat(h," + wC;\n              float mask = float(maxPosValue == curPosValue ? 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NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? 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t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),c=a.map((function(e){return e.shape})),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=S(fTe(u,c,l,i.shape,i.dtype,h,o.shape,s),3),f=p[0],d=p[1],v=p[2],m=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(v,i.dtype,d);return m.concat([g])}};var xOe={kernelName:_2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=S(dTe(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}};var kOe={kernelName:O2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=S(vTe(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,f,u),2),v=d[0],m=d[1];return n.makeTensorInfo(v,i.dtype,m)}},wOe=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=mTe(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},IOe={kernelName:F2,backendName:"webgl",kernelFunc:wOe},NOe=TEe({opSnippet:"return 1.0 / x;"}),SOe={kernelName:M2,backendName:"webgl",kernelFunc:NOe},TOe=TEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),EOe={kernelName:L2,backendName:"webgl",kernelFunc:TOe},COe=TEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),AOe={kernelName:U2,backendName:"webgl",kernelFunc:COe},ROe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ")})),_Oe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    ")}));var OOe={kernelName:W2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new _Oe(a.shape,u,c,i,o):new ROe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},FOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-1,".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ").concat(o-1,".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var DOe={kernelName:V2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new FOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},MOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ")})),LOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        vec4 newValue = vec4(\n          getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n          hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n        setOutput(newValue);\n      }\n    ")}));var zOe={kernelName:P2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new LOe(a.shape,u,c,i,o):new MOe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},POe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(").concat(h[0],") *\n                (float(dyR) / float(").concat(p[0],"));\n\n            float sourceFracCol =\n                float(").concat(h[1],") *\n                  (float(dyC) / float(").concat(p[1],"));\n\n            int sourceNearestRow = int(min(\n                float(int(").concat(i,") - 1),\n                ").concat(r," ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(").concat(o,") - 1),\n                ").concat(r," ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var BOe={kernelName:B2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new POe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},WOe=p((function e(t,n){l(this,e),this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));if(this.outputShape=t,1!==r){var a=t.map((function(e,r){return function(e){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - coords[").concat(e,"] - 1"):"coords[".concat(e,"]")}(r)})).join(","),i=eSe(r);this.userCode="\n      void main() {\n        ".concat(i," coords = getOutputCoords();\n        setOutput(getX(").concat(a,"));\n      }\n    ")}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(".concat(t[0]," - coord - 1));\n        }\n      ")})),VOe=p((function e(t,n){l(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));this.outputShape=t;var a=zTe("rc",r),i="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),o="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),s=eSe(r);function u(e){var r=t.map((function(r,a){return function(e,r){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - ").concat(r[e]," - 1"):"".concat(r[e])}(a,e)})),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(i,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void 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FFe={kernelName:y3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.skipEmpty,a=t.input,i=t.delimiter;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(1!==a.shape.length)throw new Error("Input must be a vector, got shape: ".concat(a.shape));if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: ".concat(i.shape));var o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=S(ATe(o,s,r),3),c=u[0],l=u[1],h=u[2],p=l.length;return[n.makeTensorInfo([p,2],"int32",c),n.makeTensorInfo([p],"string",l),n.makeTensorInfo([2],"int32",new Int32Array(h))]}};var DFe={kernelName:b3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.numBuckets,a=t.input;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");var i=n.readSync(a.dataId),o=RTe(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},MFe=TEe({opSnippet:"return 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n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),b}},WFe=p((function e(t,n){l(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[a]*n[a];this.outputShape=r,this.rank=r.length;var i=eSe(this.rank),o=function(e){var t=e.length;if(t>5)throw Error("Tile for rank ".concat(t," is not yet supported"));if(1===t)return"imod(resRC, ".concat(e[0],")");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod(".concat(n[a],", ").concat(e[a],")"));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(i," resRC = getOutputCoords();\n        setOutput(getA(").concat(o,"));\n      }\n    ")}));function VFe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reps;if("string"===a.dtype||a.shape.length>5){var o=n.readSync(a.dataId),s="string"===a.dtype?o.map((function(e){return 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E.g. for output at\n         // index 4,5,6,7, we want to get the corresponding element at\n         // original index 8,9,10,11, for output at index 8,9,10,11,\n         // we want to get the corresponding element at original index\n         // 16,17,18,19, so on and so forth.\n\n         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n         float x0 = getX(batch, i0);\n         float x1 = i1 < n ? getX(batch, i1) : x0;\n\n         setOutput(x0 >= x1 ? float(i0) : float(i1));\n       }\n     "}));function HFe(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function qFe(e){for(var t=1;t<e;)t*=2;return t}var KFe={kernelName:N3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted,s=k0().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=k0().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),c=a.shape,l=c[c.length-1];if(n.shouldExecuteOnCPU([a])||l<s||i>u){var h=n.readSync(a.dataId),p=S(FTe(h,c,a.dtype,i,o),2),f=p[0],d=p[1];return[n.makeTensorInfo(f.shape,f.dtype,f.values),n.makeTensorInfo(d.shape,d.dtype,d.values)]}if(0===i)return c[c.length-1]=0,[n.makeTensorInfo(c,a.dtype,[]),n.makeTensorInfo(c,"int32",[])];if(1===l)return[a,TRe({attrs:{shape:c,dtype:"int32",value:0},backend:n})];var v=n.texData.get(a.dataId),m=null!==v&&v.isPacked,g=m?n.unpackTensor(a):a,y=L$(c)/l,b=LEe({inputs:{x:g},attrs:{shape:[y,l]},backend:n});m&&HFe(n,g);for(var x=qFe(i),k=qFe(l),w=null,I=function(){return null===w?[b,b]:[b,w]},N=function(e,t,r){var a=I(),i=new GFe(r),o=[[l],[null===w?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=w;w=n.runWebGLProgram(i,a,"int32",o),HFe(n,s)},T=1;T<x;T*=2)for(var E=2*T,C=T;C>=1;C/=2)N(E,C,[y,k]);for(var A=k;A>x;A/=2){var R=I(),_=new jFe([y,A/2]),O=[[l],[null===w?1:0],[x]],F=w;w=n.runWebGLProgram(_,R,"int32",O),HFe(n,F);for(var D=x/2,M=2*D,L=D;L>=1;L/=2)N(M,L,w.shape)}var z=w;w=UCe({inputs:{x:w},backend:n,attrs:{begin:0,size:[y,i]}}),HFe(n,z);var P=HRe({inputs:{x:b,indices:w},backend:n,attrs:{axis:1,batchDims:1}});HFe(n,b);var B=c.slice(0,-1);B.push(i),z=w,w=LEe({inputs:{x:w},attrs:{shape:B},backend:n}),HFe(n,z);var W=P;return P=LEe({inputs:{x:P},attrs:{shape:B},backend:n}),HFe(n,W),[P,w]}},XFe=p((function e(t,n,r,a,i,o){l(this,e),this.variableNames=["Image","Transforms"],this.outputShape=o;var s,u="nearest"===r?1:2;switch(a){case"constant":default:s=1;break;case"reflect":s=2;break;case"wrap":s=3;break;case"nearest":s=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if(".concat(s," == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n      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} else {\n                    float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if (").concat(s," == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < ").concat(t," && 0 <= coordX && coordX < ").concat(n,") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float(").concat(i,");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float(").concat(i,");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float(").concat(n,"));\n                float mapY = mapCoord(inY, float(").concat(t,"));\n\n                if (").concat(u," == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        ")}));var YFe={kernelName:S3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.transforms,o=r.interpolation,s=r.fillMode,u=r.fillValue,c=r.outputShape,l=S(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=S(null!=c?c:[p,f],2),m=v[0],g=v[1],y=new XFe(p,f,o,s,u,[h,m,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var JFe={kernelName:E3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;TNe(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=MTe(o,a,i.shape,i.dtype),u=s.outputValues,c=s.outputShape,l=s.indices;return[r.makeTensorInfo(c,i.dtype,u),r.makeTensorInfo([l.length],"int32",l)]}};var ZFe={kernelName:C3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],c=new Array(s-1),l=0,h=0;h<s;h++)h!==i&&(c[l++]=o.shape[h]);var p=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var v=new Array(u),m=0;m<v.length;m++){f[i]=m;var g=UCe({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=LEe({inputs:{x:g},backend:n,attrs:{shape:c}});v[m]=y,p.push(g)}return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}},QFe=p((function e(t,n){l(this,e),this.variableNames=["x","segmentIds"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.numSegments,s=o*Math.ceil(i/r);this.outputShape=[a,s];var u=4*Math.floor(r/4),c=r%4,h="\n        sumValue += dot(values, segFilter);\n    ",p="";i%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return initializationValue;\n        }\n      "));var f="";i%r>0&&(f="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return -1.0;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat("0.0",";\n\n      float getValue(int batch, int inIdx) {\n        ").concat(p,"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ").concat(f,"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ").concat(o,")) * float(").concat(r,"));\n        int currentSeg = int(mod(float(outIdx), float(").concat(o,")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(u,"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ").concat(h,"\n        }\n\n        int inIdx = inOffset + ").concat(u,";\n        if (").concat(1===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ").concat(h,"\n        } else if (").concat(2===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ").concat(h,"\n        } else if (").concat(3===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n      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