/**
 * @license
 * Copyright 2023 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
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e=arguments.length>0&&void 0!==arguments[0]&&arguments[0],t=this.dataSync();return cO(t,this.shape,this.dtype,e)}},{key:"cast",value:function(e){return this.throwIfDisposed(),mO.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(),vO().makeVariable(this,e,t,n)}}]),e}();function yO(){return VC("Tensor",(function(){return gO}))}Object.defineProperty(gO,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),yO();var bO,xO,kO,wO,IO,NO=function(e){h(n,e);var t=b(n);function n(e,r,a,i){var o;return s(this,n),(o=t.call(this,e.shape,e.dtype,e.dataId,i)).trainable=r,o.name=a,o}return c(n,[{key:"assign",value:function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value (".concat(e.dtype,") and ")+"previous value (".concat(this.dtype,") must 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SO={float32:wO,int32:xO,bool:kO,complex64:IO};function TO(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 SO[e][t]}function CO(e){return TO(e,"int32")}function EO(e){return null!=e&&"object"===a(e)&&"texture"in e&&e.texture instanceof WebGLTexture}function AO(e){return"undefined"!=typeof GPUBuffer&&null!=e&&"object"===a(e)&&"buffer"in e&&e.buffer instanceof GPUBuffer}function RO(e,t){if(e.dtype===t.dtype)return[e,t];var n=TO(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function _O(e,t){QT(e.dtype===t.dtype,(function(){return"The dtypes of the first(".concat(e.dtype,") and")+" second(".concat(t.dtype,") input must match")}))}function OO(e,t){return t.some((function(t){return t.id===e.id}))}function FO(e){var t=[];return DO(e,t,new Set),t}function DO(e,t,n){if(null!=e)if(e instanceof gO)t.push(e);else if(r=e,Array.isArray(r)||"object"===a(r)){var r,i=e;for(var o in i){var s=i[o];n.has(s)||(n.add(s),DO(s,t,n))}}}var MO={__proto__:null,makeTypesMatch:RO,assertTypesMatch:_O,isTensorInList:OO,getTensorsInContainer:FO};function LO(e){return null!=e.kernelName}var zO=function(){function e(){s(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 c(e,[{key:"dispose",value:function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()}}]),e}(),PO=function(){function e(t){s(this,e),this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new zO}var t,n,a,i;return c(e,[{key:"ready",value:(i=o(r().mark((function e(){var t,n,a;return r().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 a=t[n],e.next=10,this.initializeBackend(a).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(a);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 i.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?($R("".concat(e," backend was already registered. 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e=this;a_(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;a_(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof HT||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,$R("Initialization of backend ".concat(e," failed")),$R(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return $R("Initialization of backend ".concat(e," 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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=UO.runKernel(nA,{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 UO.runKernel(hE,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=n_(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=LO(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(LO(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var f=n_(l,this.backendName);QT(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=LO(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=r_(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(QT(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&&gC(e[0])&&(a=e.map((function(e){return eO(e)})));var i=r.write(a,t,n),o=new gO(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=mC(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 gO(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 NO(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*vC(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 NO||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*vC(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=o(r().mark((function e(t){var n,a,i,o,s;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,a=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,I(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-a,i=A(this.state.activeProfile.kernels),e.prev=12,i.s();case 14:if((o=i.n()).done){e.next=24;break}return s=o.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),i.e(e.t0);case 29:return e.prev=29,i.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=r_(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=EC(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=FO(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(QT(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)}));QT(i instanceof gO,(function(){return"The result y returned by f() must be a tensor."}));var o=sO(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?BO(i.shape):n,uO(e,o,(function(e){return r.tidy(e)}),GO);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=A(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 QT(kC(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;QT(r.every((function(e){return e instanceof gO})),(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 QT((i=e.apply(void 0,[].concat(r,[n]))).value instanceof gO,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),QT(kC(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];QT(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(...)."})),QT(a.every((function(e){return e instanceof gO})),(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=o(r().mark((function e(t){var n,a;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Q_(),e.next=3,this.backend.time(t);case 3:return(a=e.sent).wallMs=Q_()-n,e.abrupt("return",a);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 zO,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}]),e}();function BO(e){var t=CC(tC(e),"float32");return UO.makeTensor(t,e,"float32")}function WO(){var t=WC();if(null==t._tfengine){var n=new LC(t);t._tfengine=new PO(n)}return function(t){e.ENV=t}(t._tfengine.ENV),vO=function(){return t._tfengine},t._tfengine}PO.nextTensorId=0,PO.nextVariableId=0;var VO,UO=WO();function GO(e,t){var n={a:e,b:t};return UO.runKernel(HC,n)}function jO(e){if(void 0!==VO)return VO;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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n=e;if(nO(e))return"string"===t?[]:[e.length];if(EO(e)){var r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(AO(e))return[e.buffer.size/(null==t?4:vC(t))];if(!Array.isArray(e))return[];for(var a=[];Array.isArray(n)||nO(n)&&"string"!==t;)a.push(n.length),n=n[0];return Array.isArray(e)&&BC().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&YO(e,a,[]),a}function YO(e,t,n){if(n=n||[],Array.isArray(e)||nO(e)){QT(t.length>0,(function(){return"Element arr[".concat(n.join("]["),"] should be a primitive, ")+"but is an array of ".concat(e.length," elements")})),QT(e.length===t[0],(function(){return"Element arr[".concat(n.join("]["),"] should have ").concat(t[0]," ")+"elements, but has ".concat(e.length," elements")}));for(var r=t.slice(1),a=0;a<e.length;++a)YO(e[a],r,n.concat(a))}else QT(0===t.length,(function(){return"Element arr[".concat(n.join("]["),"] is a primitive, ")+"but should be an array/TypedArray of ".concat(t[0]," elements")}))}function JO(e,t,n,r){if("string_or_numeric"!==e){if(null==e)throw new Error("Expected dtype cannot be null.");if("numeric"!==e&&e!==t||"numeric"===e&&"string"===t)throw new Error("Argument '".concat(n,"' passed to '").concat(r,"' must ")+"be ".concat(e," tensor, but got ").concat(t," tensor"))}}function ZO(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"numeric";if(e instanceof gO)return JO(r,e.dtype,t,n),e;var a=xC(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),JO(r,a,t,n),null==e||!nO(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e){var i=null==e?"null":e.constructor.name;throw new Error("Argument '".concat(t,"' passed to '").concat(n,"' must be a ")+"Tensor or TensorLike, but got '".concat(i,"'"))}var o=XO(e,a);nO(e)||Array.isArray(e)||(e=[e]);var s=!0,u="string"!==a?Z_(e,a):rO(e,[],s);return UO.makeTensor(u,o,a)}function QO(e,t,n){var r=arguments.length>3&&void 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r=ZO(e,"x","bincount"),a=ZO(t,"weights","bincount");QT("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),QT(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),QT(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or"+"0-length, but got input shape: ".concat(r.shape,", weights shape: ")+"".concat(a.shape,".")}));var i={x:r,weights:a},o={size:n};return UO.runKernel(uE,i,o)}});var vM=eF({broadcastArgs_:function(e,t){var n=ZO(e,"s0","broadcastArgs","int32"),r=ZO(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). 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"+"Got strides ".concat(n," and dilations '").concat(i,"'")})),QT(ZD(i),(function(){return"Error in conv2D: Dilated rates should be larger than 0."})),QT(ZD(n),(function(){return"Error in conv2D: Strides should be larger than 0."}));var p={x:c,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=UO.runKernel(gE,p,f);return l?eM(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var SM=eF({conv1d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NWC",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:1,o=arguments.length>6?arguments[6]:void 0,s=ZO(e,"x","conv1d"),u=ZO(t,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=eM(s,[1,s.shape[0],s.shape[1]])),QT(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank ".concat(c.rank,".")})),QT(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+"".concat(u.rank,".")})),$D("conv1d",r,o),QT(c.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input (".concat(c.shape[2],") must match ")+"input depth for filter ".concat(u.shape[1],".")})),QT(JD(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. 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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(RC(e),null!=r&&"bool"===r)throw new Error("Unsupported data type ".concat(r));for(var i=new Gz(t,n,r,!1,a),o=sD(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var Xz=eF({randomStandardNormal_:function(e,t,n){if(null!=t&&"bool"===t)throw new Error("Unsupported data type ".concat(t));return Kz(e,0,1,t,n)}});var Yz=eF({randomUniform_: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&&void 0!==arguments[3]?arguments[3]:"float32",a=arguments.length>4?arguments[4]:void 0;RC(e);for(var i=sD(e,r),o=new Hz(t,n,null,a),s=0;s<i.values.length;s++)i.values[s]=o.nextValue();return i.toTensor()}});function Jz(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32";if(0===n)throw new Error("Cannot have a step of zero");var a={start:e,stop:t,step:n,dtype:r};return UO.runKernel(YA,{},a)}var Zz=eF({real_:function(e){var t={input:ZO(e,"input","real")};return UO.runKernel(JA,t)}});var Qz=eF({reciprocal_:function(e){var t={x:ZO(e,"x","reciprocal")};return UO.runKernel(ZA,t)}});var $z=eF({relu_:function(e){var t={x:ZO(e,"x","relu")};return UO.runKernel(QA,t)}});var eP=eF({relu6_:function(e){var t={x:ZO(e,"x","relu6")};return UO.runKernel(aR,t)}});var tP=eF({reverse_:function(e,t){var n={x:ZO(e,"x","reverse")},r={dims:t};return UO.runKernel(iR,n,r)}});var nP=eF({reverse1d_:function(e){var t=ZO(e,"x","reverse");return QT(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),tP(t,0)}});var rP=eF({reverse2d_:function(e,t){var n=ZO(e,"x","reverse");return QT(2===n.rank,(function(){return"Error in reverse2D: x 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0!==arguments[6]?arguments[6]:"NHWC",s=ZO(e,"x","separableConv2d"),u=ZO(t,"depthwiseFilter","separableConv2d"),c=ZO(n,"pointwiseFilter","separableConv2d"),l=s,h=!1;if(3===s.rank&&(h=!0,l=eM(s,[1,s.shape[0],s.shape[1],s.shape[2]])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");QT(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),QT(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),QT(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),QT(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter "+" must be 1, but got ".concat(c.shape[0],".")})),QT(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];QT(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=zM(l,u,r,a,o,i),v=1,m=NM(d,c,v,"valid",o);return h?eM(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function lP(){return lP=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h,p,f,d;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=ZO(t,"x","setdiff1d"),i=ZO(n,"y","setdiff1d"),QT(a.dtype===i.dtype,(function(){return"x and y should have the same dtype, but got x (".concat(a.dtype,") and y (").concat(i.dtype,").")})),QT(1===a.rank,(function(){return"x should be 1D tensor, but got x (".concat(a.shape,").")})),QT(1===i.rank,(function(){return"y should be 1D tensor, but got y (".concat(i.shape,").")})),e.next=7,a.data();case 7:return o=e.sent,e.next=10,i.data();case 10:for(s=e.sent,u=new Set(s),c=0,l=0;l<o.length;l++)u.has(o[l])||c++;for(h=new dO([c],a.dtype),p=new dO([c],"int32"),f=0,d=0;f<o.length;f++)u.has(o[f])||(h.values[d]=o[f],p.values[d]=f,d++);return e.abrupt("return",[h.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),lP.apply(this,arguments)}var hP=function(e,t){return lP.apply(this,arguments)};var pP=eF({sign_:function(e){var t={x:ZO(e,"x","sign")};return UO.runKernel(mR,t)}});var fP=eF({sin_:function(e){var t={x:ZO(e,"x","sin","float32")};return UO.runKernel(dR,t)}});var dP=eF({sinh_:function(e){var t={x:ZO(e,"x","sinh")};return UO.runKernel(vR,t)}});var vP=eF({slice1d_:function(e,t,n){var r=ZO(e,"x","slice1d");return QT(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),oM(r,[t],[n])}});var mP=eF({slice2d_:function(e,t,n){var r=ZO(e,"x","slice2d");return QT(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," 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"+"Logits was rank ".concat(n.rank," and dim was ").concat(t));var r={logits:n},a={dim:t};return UO.runKernel(IR,r,a)}});var xP=eF({fft_:function(e){QT("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return UO.runKernel(qE,t)}});var kP=eF({ifft_:function(e){QT("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return UO.runKernel(rA,t)}});var wP=eF({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=eM(e,[r,n]);t=kP(a)}else{var i=[r,2*(n-1)],o=eM(Zz(e),[r,n]),s=eM(SL(e),[r,n]),u=tP(oM(o,[0,1],[r,n-2]),1),c=ID(tP(oM(s,[0,1],[r,n-2]),1),cL(-1)),l=rM([o,u],1),h=rM([s,c],1),p=eM(tF(l,h),[i[0],i[1]]);t=kP(p)}if(t=Zz(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=eM(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var IP=eF({split_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=ZO(e,"x","split"),a={x:r},i={numOrSizeSplits:t,axis:n};return UO.runKernel(wR,a,i)}});var NP=eF({rfft_:function(e,t){QT("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=oM(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=rM([e,rz(s)],e.shape.length-1),r=t}else n=e;var u=qM(n),c=eM(tF(n,u),[a,r]),l=xP(c),h=Math.floor(r/2)+1,p=Zz(l),f=SL(l),d=IP(p,[h,r-h],p.shape.length-1),v=IP(f,[h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,eM(tF(d[0],v[0]),m)}});var SP=eF({squaredDifference_:function(e,t){var n=ZO(e,"a","squaredDifference"),r=ZO(t,"b","squaredDifference"),a=w(RO(n,r),2);n=a[0],r=a[1],UM(n.shape,r.shape);var i={a:n,b:r};return UO.runKernel(AR,i,{})}});var TP=eF({squeeze_:function(e,t){var n=ZO(e,"x","squeeze","string_or_numeric");return eM(n,cC(n.shape,t).newShape)}});var CP=eF({stack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=QO(e,"tensors","stack","string_or_numeric");QT(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&QT(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return UO.runKernel(VA,r,a)}});var EP=eF({step_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=ZO(e,"x","step"),r={x:n},a={alpha:t};return UO.runKernel(KR,r,a)}});var AP=eF({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=ZO(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 UO.runKernel(OR,l,h)}});var RP=eF({tan_:function(e){var t={x:ZO(e,"x","tan","float32")};return UO.runKernel(zR,t)}});function _P(e,t){eC(e);var n=XO(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return nF(e,null,n,t)}function OP(e,t,n){if(eC(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=XO(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 nF(e,t,r,n)}function FP(e,t,n){if(eC(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=XO(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 nF(e,t,r,n)}function DP(e,t,n){if(eC(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=XO(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 nF(e,t,r,n)}function MP(e,t,n){if(eC(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=XO(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 nF(e,t,r,n)}function LP(e,t,n){if(eC(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=XO(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 nF(e,t=t||r,r,n)}function zP(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 PP(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))}zP(n,t,e)}function BP(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:tC(t.shape)/u,sliceSize:o,strides:[].concat(I(IC(n.slice(0,a))),[1]),outputSize:tC(n)}}var WP={__proto__:null,validateUpdateShape:zP,validateInput:PP,calculateShapes:BP};var VP=eF({tensorScatterUpdate_:function(e,t,n){var r=ZO(e,"tensor","tensorScatterupdate"),a=ZO(t,"indices","tensorScatterupdate","int32"),i=ZO(n,"updates","tensorScatterupdate");if(PP(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 UO.runKernel(cR,o,{})}});var UP=eF({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=ZO(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=UO.runKernel(WR,i,o),u=w(s,2),c=u[0],l=u[1];return{values:c,indices:l}}});var GP=eF({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(RC(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new 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l=e.sent,h=l[0],p=l[1],f=DB(h,p,a,i,o),d=f.selectedIndices,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",_P(d,"int32"));case 17:case"end":return e.stop()}}),e)}))),VB.apply(this,arguments)}var UB=function(e,t,n){return VB.apply(this,arguments)};var GB=eF({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=ZO(e,"boxes","nonMaxSuppression"),s=ZO(t,"scores","nonMaxSuppression"),u=RB(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=UO.runKernel(PA,c,l);return{selectedIndices:h[0],selectedScores:h[1]}}});function jB(){return jB=o(r().mark((function e(t,n,a){var i,o,s,u,c,l,h,p,f,d,v,m,g=arguments;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return 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s(this,i),(t=a.call(this)).learningRate=e,t.initialAccumulatorValue=n,t.accumulatedGrads=[],t}return c(i,[{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=UO.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:dD((function(){return yM(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;dD((function(){var e=xD(o,hL(i));o.assign(e);var n=xD(ID(wD(i,lL(xD(e,UO.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&vD(this.accumulatedGrads.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=o(r().mark((function e(){return r().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=o(r().mark((function e(t){return r().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)}}]),i}(MW),PW=function(e){h(i,e);var t,n,a=b(i);function i(e,t,n){var r,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return s(this,i),(r=a.call(this)).learningRate=e,r.beta1=t,r.beta2=n,r.epsilon=o,r.accumulatedFirstMoment=[],r.accumulatedSecondMoment=[],dD((function(){r.accBeta1=cL(t).variable(),r.accBeta2=cL(n).variable()})),null==o&&(r.epsilon=UO.backend.epsilon()),r}return c(i,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);dD((function(){var r=UL(1,t.accBeta1),a=UL(1,t.accBeta2);n.forEach((function(n,i){var o=UO.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:dD((function(){return qM(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:dD((function(){return qM(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=xD(ID(u,t.beta1),ID(s,1-t.beta1)),h=xD(ID(c,t.beta2),ID(hL(s),1-t.beta2)),p=wD(l,r),f=wD(h,a);u.assign(l),c.assign(h);var d=xD(ID(wD(p,xD(lL(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(ID(t.accBeta1,t.beta1)),t.accBeta2.assign(ID(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&vD(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&vD(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=o(r().mark((function e(){var t;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(I(this.accumulatedFirstMoment),I(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=o(r().mark((function e(t){var n,a=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,dD((function(){a.accBeta1.assign(uL(a.beta1,a.iterations_+1)),a.accBeta2.assign(uL(a.beta2,a.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)}}]),i}(MW),BW=function(e){h(i,e);var t,n,a=b(i);function i(e,t,n){var r,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,u=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return s(this,i),(r=a.call(this)).learningRate=e,r.beta1=t,r.beta2=n,r.epsilon=o,r.decay=u,r.accumulatedFirstMoment=[],r.accumulatedWeightedInfNorm=[],dD((function(){r.iteration=cL(0).variable(),r.accBeta1=cL(t).variable()})),null==o&&(r.epsilon=UO.backend.epsilon()),r}return c(i,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);dD((function(){var r=UL(1,t.accBeta1),a=wD(-t.learningRate,xD(ID(t.iteration,t.decay),1));n.forEach((function(n,i){var o=UO.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:qM(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:qM(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=xD(ID(u,t.beta1),ID(s,1-t.beta1)),h=ID(c,t.beta2),p=ND(s),f=tz(h,p);u.assign(l),c.assign(f);var d=xD(ID(wD(a,r),wD(l,xD(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(xD(t.iteration,1)),t.accBeta1.assign(ID(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&vD(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&vD(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=o(r().mark((function e(){return r().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=o(r().mark((function e(t){return r().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)}}]),i}(MW),WW=function(e){h(i,e);var t,n,a=b(i);function i(e){var t;return s(this,i),(t=a.call(this)).learningRate=e,t.setLearningRate(e),t}return c(i,[{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=UO.registeredVariables[n];dD((function(){var e=xD(ID(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=mD(cL(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:(n=o(r().mark((function e(){return r().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=o(r().mark((function e(t){return r().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)}}]),i}(MW),VW=function(e){h(i,e);var t,n,a=b(i);function i(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return s(this,i),(n=a.call(this,e)).learningRate=e,n.momentum=t,n.useNesterov=r,n.accumulations=[],n.m=cL(n.momentum),n}return c(i,[{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=UO.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:dD((function(){return qM(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&dD((function(){var e,n=xD(ID(t.m,i),o);e=t.useNesterov?xD(ID(t.c,xD(o,ID(n,t.m))),a):xD(ID(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&vD(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:(n=o(r().mark((function e(){return r().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=o(r().mark((function e(t){return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,this.accumulations=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,momentum:this.momentum,useNesterov:this.useNesterov}}}],[{key:"className",get:function(){return"Momentum"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}]),i}(WW),UW=function(e){h(i,e);var t,n,a=b(i);function i(e){var t,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,u=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(s(this,i),(t=a.call(this)).learningRate=e,t.decay=n,t.momentum=r,t.epsilon=o,t.accumulatedMeanSquares=[],t.accumulatedMoments=[],t.accumulatedMeanGrads=[],t.centered=u,null==o&&(t.epsilon=UO.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return t}return c(i,[{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=UO.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:"".concat(n,"/rms"),variable:dD((function(){return qM(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:"".concat(n,"/momentum"),variable:dD((function(){return qM(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:"".concat(n,"/mg"),variable:dD((function(){return qM(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;dD((function(){var e=xD(ID(s,t.decay),ID(hL(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=xD(ID(n,t.decay),ID(o,1-t.decay)),c=wD(ID(o,t.learningRate),lL(UL(e,xD(hL(i),t.epsilon)))),l=xD(ID(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=UL(a,l);a.assign(h)}else{var p=xD(ID(s,t.decay),ID(hL(o),1-t.decay)),f=xD(ID(u,t.momentum),wD(ID(o,t.learningRate),lL(xD(p,t.epsilon))));s.assign(p),u.assign(f);var d=UL(a,f);a.assign(d)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&vD(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&vD(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&vD(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=o(r().mark((function e(){var t;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(I(this.accumulatedMeanSquares),I(this.accumulatedMoments)),this.centered&&t.push.apply(t,I(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=o(r().mark((function e(t){var n,a;return r().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(s(this,e),!BC().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 c(e,[{key:"save",value:(t=o(r().mark((function e(t){var n,a,i,o,s,u;return r().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=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer)){e.next=7;break}throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 7:return a=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i=vF(t,a),o=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),(s=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,s.href=o,e.next=15,jW((function(){return s.dispatchEvent(new MouseEvent("click"))}));case 15:if(null==t.weightData){e.next=21;break}return(u=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,u.href=n,e.next=21,jW((function(){return u.dispatchEvent(new MouseEvent("click"))}));case 21:return e.abrupt("return",{modelArtifactsInfo:bF(t)});case 22:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})}]),e}();HW.URL_SCHEME="downloads://";var qW=function(){function e(t){if(s(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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0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=eM(eB(t,l),[u,-1]);var h=[].concat(I(a),I(c));return eM(xB({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?yH(e.rank,r,"channelsLast"):null,activation:n}),h)}function mH(e,t,n){return dD((function(){return t=Array.isArray(t)?_P(t,"int32"):uD(t,"int32"),wL(e,t,n)}))}function gH(e){return ID(e,e)}function yH(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new hj("Unexpected bias dimensions: ".concat(t.rank)+"; expected it to be 1 or ".concat(e));if(5===e){if("channelsFirst"===n)return 1===r.length?eM(t,[1,r[0],1,1,1]):eM(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?eM(t,[1,1,1,1,r[0]]):eM(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?eM(t,[1,r[0],1,1]):eM(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?eM(t,[1,1,1,r[0]]):eM(t,[1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?eM(t,[1,r[0],1]):eM(t,[1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?eM(t,[1,1,r[0]]):eM(t,[1].concat(r))}else if(e<3)return t;throw new hj("Unsupported input rank by biasAdd: ".concat(t.rank))}function bH(e,t,n){return dD((function(){return null==n&&(n="channelsLast"),jj(n),xD(e,yH(e.rank,t,n))}))}function xH(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1;if(1!==t)throw new pj("Support for alpha values other than 1 (".concat(t,") is not implemented ")+"yet.");return JM(e)}function kH(e,t,n,r){return dD((function(){return oB(e,t,n,r)}))}function wH(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return n?e():t()}var IH=["fanIn","fanOut","fanAvg"],NH=["normal","uniform","truncatedNormal"];var SH=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"fromConfigUsesCustomObjects",value:function(){return!1}},{key:"getConfig",value:function(){return{}}}]),n}(_W),TH=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"apply",value:function(e,t){return rz(e,t)}}]),n}(SH);TH.className="Zeros",FW(TH);var CH=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"apply",value:function(e,t){return az(e,t)}}]),n}(SH);CH.className="Ones",FW(CH);var EH=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),r=t.call(this),"object"!==a(e))throw new hj("Expected argument of type ConstantConfig but got ".concat(e));if(void 0===e.value)throw new hj("config must have value set but got ".concat(e));return r.value=e.value,r}return c(n,[{key:"apply",value:function(e,t){var n=this;return dD((function(){return ID(cL(n.value),az(e,t))}))}},{key:"getConfig",value:function(){return{value:this.value}}}]),n}(SH);EH.className="Constant",FW(EH);var AH=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"apply",value:function(e,t){return Yz(e,this.minval,this.maxval,t,this.seed)}},{key:"getConfig",value:function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}]),n}(SH);AH.className="RandomUniform",FW(AH);var RH=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new pj("randomNormal does not support dType ".concat(t,"."));return dH(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(SH);RH.className="RandomNormal",FW(RH);var _H=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new pj("truncatedNormal does not support dType ".concat(t,"."));return GP(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(SH);_H.className="TruncatedNormal",FW(_H);var OH=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this)).gain=null!=e.gain?e.gain:1,r}return c(n,[{key:"apply",value:function(e,t){var n=this;return dD((function(){if(2!==e.length||e[0]!==e[1])throw new hj("Identity matrix initializer can only be used for 2D square matrices.");return ID(n.gain,xL(e[0]))}))}},{key:"getConfig",value:function(){return{gain:this.gain}}}]),n}(SH);OH.className="Identity",FW(OH);var FH=function(e){h(n,e);var t=b(n);function n(e){var r,a;if(s(this,n),r=t.call(this),e.scale<0)throw new hj("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,Aj(IH,"FanMode",a),r.distribution=null==e.distribution?"normal":e.distribution,function(e){Aj(NH,"Distribution",e)}(r.distribution),r.seed=e.seed,r}return c(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(jj(r),2===e.length)t=e[0],n=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===r){var a=eH(e,2);t=e[1]*a,n=e[0]*a}else if("channelsLast"===r){var i=eH(e,0,e.length-2);t=e[e.length-2]*i,n=e[e.length-1]*i}}else{var o=eH(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 pj("".concat(this.getClassName()," does not support dType ").concat(t,"."));return GP(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return Yz(e,-s,s,t,this.seed)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(SH);FH.className="VarianceScaling",FW(FH);var DH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);DH.className="GlorotUniform",FW(DH);var MH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);MH.className="GlorotNormal",FW(MH);var LH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);LH.className="HeNormal",FW(LH);var zH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);zH.className="HeUniform",FW(zH);var PH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);PH.className="LeCunNormal",FW(PH);var BH=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return c(n,[{key:"getClassName",value:function(){return FH.className}}]),n}(FH);BH.className="LeCunUniform",FW(BH);var WH=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"apply",value:function(e,t){var n=this;return dD((function(){if(e.length<2)throw new pj("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=tC(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=dH([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=CW.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=ID(u,c.sign()),r<a&&(u=u.transpose()),ID(cL(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(SH);WH.className="Orthogonal",FW(WH);var VH={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 UH(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Sj(e,OW.getMap().classNameMap,t,"initializer")}function GH(e){return Ij(e)}function jH(e){if("string"==typeof e){var t=e in VH?VH[e]:e;if("GlorotNormal"===t)return new MH;if("GlorotUniform"===t)return new DH;if("HeNormal"===t)return new LH;if("HeUniform"===t)return new zH;if("LeCunNormal"===t)return new PH;if("LeCunUniform"===t)return new BH;var n={};return n.className=t,n.config={},UH(n)}return e instanceof SH?e:UH(e)}function HH(e){return Array.isArray(e)&&Array.isArray(e[0])}function qH(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function KH(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new hj("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function XH(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new hj("Expected exactly 1 Shape; got ".concat(e.length))}return e}function YH(e){var t,n=0,r=A(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 JH="Variable",ZH=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]:JH,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;s(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Mj(),r=null==r?JH:r,this.originalName=Yj(r),this.name=Jj(this.originalName),this.trainable_=a,this.constraint=i,this.val=XP(t,this.trainable_,this.name,this.dtype)}return c(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 QH(e){return e.map((function(e){return e.read()}))}function $H(e){e.forEach((function(e){e[0].write(e[1])}))}var eq=c((function e(t){s(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||{}})),tq=c((function e(t,n,r,a,i,o,u){s(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=u,this.id=Mj(),null!=o&&(this.originalName=Yj(o),this.name=Jj(this.originalName)),this.rank=n.length})),nq=0,rq=function(){function e(t,n){s(this,e),this.callArgs=n,this.id=nq++,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=A(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 c(e,[{key:"getConfig",value:function(){var e,t=[],n=A(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}(),aq=0,iq=function(e){h(n,e);var t=b(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};s(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=aq++,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=xj(i)+"_"+zj(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 u=null;null!=r.batchSize&&(u=r.batchSize),o=[u].concat(r.inputShape)}e.batchInputShape=o;var c=r.dtype;null==c&&(c=r.inputDType),null==c&&(c="float32"),e.dtype=c}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return c(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new lj("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new hj("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 yj(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return yj(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new cj("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 cj("Layer ".concat(this.name)+" is not connected, no input to return.");return yj(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new cj("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new cj("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return yj(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){if(e=bj(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=bj(this.inputSpec);if(e.length!==t.length)throw new hj("Layer ".concat(this.name," expects ").concat(t.length," inputs, ")+"but it received ".concat(e.length," input tensors. ")+"Input received: ".concat(e));for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new hj("Input ".concat(n," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(a.ndim,", found ndim=").concat(i));if(null!=a.maxNDim&&i>a.maxNDim)throw new hj("Input ".concat(n," is incompatible with layer ").concat(this.name)+": expected max_ndim=".concat(a.maxNDim,", found ndim=").concat(i));if(null!=a.minNDim&&i<a.minNDim)throw new hj("Input ".concat(n," is incompatible with layer ").concat(this.name)+": expected min_ndim=".concat(a.minNDim,", found ndim=").concat(i,"."));if(null!=a.dtype&&r.dtype!==a.dtype)throw new hj("Input ".concat(n," is incompatible with layer ").concat(this.name," ")+": expected dtype=".concat(a.dtype,", found dtype=").concat(r.dtype,"."));if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),c=a.axes[s],l=u>=0?o[u]:o[o.length+u];if(null!=c&&-1===[c,null].indexOf(l))throw new hj("Input ".concat(n," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(u," of input shape to ")+"have value ".concat(c," but got shape ").concat(o,"."))}}if(null!=a.shape)for(var h=0;h<a.shape.length;++h){var p=a.shape[h],f=r.shape[h];if(null!=p&&null!=f&&p!==f)throw new hj("Input ".concat(n," is incompatible with layer ")+"".concat(this.name,": expected shape=").concat(a.shape,", ")+"found shape=".concat(r.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,a=bj(e),i=!0,o=A(a);try{for(o.s();!(r=o.n()).done;){if(!(r.value instanceof tq)){i=!1;break}}}catch(e){o.e(e)}finally{o.f()}var s,u=!0,c=A(a);try{for(c.s();!(s=c.n()).done;){if(s.value instanceof tq){u=!1;break}}}catch(e){c.e(e)}finally{c.f()}if(i===u)throw new hj("Arguments to apply() must be all SymbolicTensors or all Tensors");return Xj(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var r,i=[],o=A(bj(e));try{for(o.s();!(r=o.n()).done;){var s=r.value;i.push(s.shape)}}catch(e){o.e(e)}finally{o.f()}n.build(yj(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&u&&(n._refCount=1)}if(n.assertInputCompatibility(e),u){var c,l=n.call(e,t),h=[],p=A(bj(l));try{for(p.s();!(c=p.n()).done;){var f=c.value;-1!==a.indexOf(f)&&(f=f.clone()),h.push(f)}}catch(e){p.e(e)}finally{p.f()}if(l=yj(h),null!=n.activityRegularizer)throw new pj("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return l}var d,v=function(e){e=bj(e);var t,n=[],r=A(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 yj(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 tq(g,r,n,bj(e),t,n.name,a)})):new tq(g,m,n,bj(e),t,n.name),n.addInboundNode(e,d,null,null,v,m,t),n._refCount++,null!=n.activityRegularizer)throw new pj("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 cj("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=A(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 cj("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 lj("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return YH(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 QH(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;dD((function(){var n=t.weights;if(n.length!==e.length)throw new hj('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=QH(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!nC(o.shape,u.shape))throw new hj("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}$H(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new hj("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():jH("zeros"));var u=r.apply(t,n),c=new ZH(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=bj(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,I(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:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=bj(e);t=bj(t),n=bj(n),r=bj(r),a=qH(a),i=qH(i);var u,c=[],l=[],h=[],p=A(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 rq({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}(_W);function oq(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=A(oq(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 sq=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:zj("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 hj("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 hj("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new hj("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 tq(r.dtype,r.batchInputShape,g(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new rq({outboundLayer:g(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return c(n,[{key:"apply",value:function(e,t){throw new hj("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}(iq);function uq(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 hj("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 sq({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}sq.className="InputLayer",FW(sq);var cq=function(){function e(t){if(s(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=A(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 c(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new hj("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 uD(t,e.dtype)}catch(n){throw new hj("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 tq){if(null==this.id2Value[e.id])throw new hj("Nonexistent key: ".concat(e.name));return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new hj("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Value[t]}},{key:"getMask",value:function(e){if(e instanceof tq){if(null==this.id2Value[e.id])throw new hj("Nonexistent key: ".concat(e.name));return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new hj("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Mask[t]}},{key:"disposeMasks",value:function(){null!=this.id2Mask&&vD(this.id2Mask)}}]),e}(),lq=new dj,hq=new dj;function pq(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=A(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=lq.get(d);if(null==v){var m=function(e,t){QT(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=dq(e[0],t);n=a.sorted,r=a.recipientMap}else{var i,o=new Set,s=A(e);try{for(s.s();!(i=s.n()).done;){var u,c=dq(i.value,t),l=c.sorted,h=c.recipientMap,p=A(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:fq(r)}}(s,t);v=m.sorted,f=m.recipientCounts,lq.put(d,v),hq.put(d,f)}f={},i||Object.assign(f,hq.get(d));for(var g=new cq(t),y=0;y<v.length;++y){if(null!=r){var b=fD().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=v[y],k=x.sourceLayer;if(!(k instanceof sq)){var w,I=[],N=[],S=[],T=!1,C=A(x.inputs);try{for(C.s();!(w=C.n()).done;){var E=w.value,R=g.getValue(E),_=g.getMask(E);I.push(R),N.push(_),null!=_&&(T=!0),i||(f[E.name]--,0!==f[E.name]||t.hasKey(E)||-1!==u.indexOf(E.name)||R.isDisposed||!0===E.sourceLayer.stateful||S.push(R))}}catch(e){C.e(e)}finally{C.f()}T&&((n=n||{}).mask=N[0]);var O=bj(k.apply(I,n)),F=null;k.supportsMasking&&(F=k.computeMask(I,N));for(var D=vq(x),M=Array.isArray(D)?D:[D],L=0;L<M.length;++L){g.hasKey(M[L])||g.add(M[L],O[L],Array.isArray(F)?F[0]:F);var z=u.indexOf(M[L].name);-1!==z&&(c[z]=O[L])}i||vD(S)}}return g.disposeMasks(),o?c:c[0]}function fq(e){var t={};for(var n in e)t[n]=e[n].size;return t}function dq(e,t){var n,r=new Set,a=[],i={},o=A(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=A(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 vq(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 a,i=A(e.sourceLayer.inboundNodes[r].outputTensors);try{for(i.s();!(a=i.n()).done;){if(a.value.id===e.id){n=r;break}}}catch(e){i.e(e)}finally{i.f()}}t=e.sourceLayer.getOutputAt(n)}return t}function mq(e,t){return dD((function(){return lL(pL(ID(e,e),t,!0))}))}BC().registerFlag("TOPOLOGICAL_SORT_CACHE_MAX_ENTRIES",(function(){return 100}),(function(e){null!=lq&&lq.setMaxEntries(e),null!=hq&&hq.setMaxEntries(e)}));var gq=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"getConfig",value:function(){return{}}}]),n}(_W),yq=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this)).defaultMaxValue=2,r.defaultAxis=0,r.maxValue=null!=e.maxValue?e.maxValue:r.defaultMaxValue,r.axis=null!=e.axis?e.axis:r.defaultAxis,r}return c(n,[{key:"apply",value:function(e){var t=this;return dD((function(){var n=mq(e,t.axis),r=bM(n,0,t.maxValue);return ID(e,wD(r,xD(aH(),n)))}))}},{key:"getConfig",value:function(){return{maxValue:this.maxValue,axis:this.axis}}}]),n}(gq);yq.className="MaxNorm",FW(yq);var bq=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this)).defaultAxis=0,r.axis=null!=e.axis?e.axis:r.defaultAxis,r}return c(n,[{key:"apply",value:function(e){var t=this;return dD((function(){return wD(e,xD(aH(),mq(e,t.axis)))}))}},{key:"getConfig",value:function(){return{axis:this.axis}}}]),n}(gq);bq.className="UnitNorm",FW(bq);var xq=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"apply",value:function(e){return $z(e)}}]),n}(gq);xq.className="NonNeg",FW(xq);var kq=function(e){h(n,e);var t=b(n);function n(e){var r;return 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e.prev=15,a.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])}))),function(e,t){return l.apply(this,arguments)})},{key:"onEpochEnd",value:(u=o(r().mark((function e(t,n){var a,i,o;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),a=A(this.callbacks),e.prev=2,a.s();case 4:if((i=a.n()).done){e.next=10;break}return o=i.value,e.next=8,o.onEpochEnd(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),a.e(e.t0);case 15:return e.prev=15,a.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])}))),function(e,t){return u.apply(this,arguments)})},{key:"onBatchBegin",value:(i=o(r().mark((function e(t,n){var a,i,o;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),a=A(this.callbacks),e.prev=2,a.s();case 4:if((i=a.n()).done){e.next=10;break}return o=i.value,e.next=8,o.onBatchBegin(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 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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,(o=null!=a.validationData)&&(MK(a.validationData)?QT(null==a.validationBatches||a.validationBatches>0&&Number.isInteger(a.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(a.validationBatches)})):(c=_K(a.validationData),s=c.xs,u=c.ys)),l=t.makeTrainFunction(),h=t.getDedupedMetricsNames(),p=o?h.slice().concat(h.map((function(e){return"val_"+e}))):h.slice(),f=zq(a.callbacks,a.yieldEvery),d=null==a.verbose?1:a.verbose,v=Bq(f,d,a.epochs,null,null,DK(n,a),null,o,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==a.initialEpoch?0:a.initialEpoch,e.next=26,n.iterator();case 26:b=e.sent;case 27:if(!(y<a.epochs)){e.next=98;break}return x={},e.next=31,m.onEpochBegin(y);case 31:if(k=0,w=0,i){e.next=37;break}return e.next=36,n.iterator();case 36:b=e.sent;case 37:if(i&&!(k<a.batchesPerEpoch)){e.next=91;break}return e.next=40,b.next();case 40:if(I=e.sent,!i||!I.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(a.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(a.batchesPerEpoch*a.epochs," batches). 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Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(a.batches," batches). 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Use LayersModel.compile(modelCompileArgs).");for(var r=[],a=0;a<this.feedOutputShapes.length;++a){var i=this.feedOutputShapes[a],o=this.feedLossFns[a];o===Kq?r.push(i.slice(0,i.length-1).concat([1])):r.push(i)}if(XK(e=KK(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=KK(t,this.feedOutputNames,r,!1,"target")),YK(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=n&&n>0&&e[0].shape[0]%n!=0)throw new hj("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+"".concat(n,". Found: ").concat(e[0].shape[0]," sample(s)."));return[e,t]}},{key:"standardizeUserData",value:(f=o(r().mark((function e(t,n,a,i){var o,s,u,c,l,h,p,f,d,v=arguments;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(o=!(v.length>4&&void 0!==v[4])||v[4],s=v.length>5?v[5]:void 0,u=this.standardizeUserDataXY(t,n,o,s),c=w(u,2),l=c[0],h=c[1],null==a){e.next=5;break}throw new Error("sample weight is not supported yet.");case 5:if(p=null,null==i){e.next=19;break}f=SK(i,this.outputNames),p=[],d=0;case 10:if(!(d<f.length)){e.next=19;break}return e.t0=p,e.next=14,TK(h[d],null,f[d]);case 14:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 16:++d,e.next=10;break;case 19:return e.abrupt("return",[l,h,p]);case 20:case"end":return e.stop()}}),e,this)}))),function(e,t,n,r){return f.apply(this,arguments)})},{key:"testLoop",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4?arguments[4]:void 0;return dD((function(){var o=r.checkNumSamples(t,n,i,"steps"),s=[];if(a>0)throw new pj("Verbose mode is not implemented yet.");if(null!=i)throw new pj("steps mode in testLoop() is not implemented yet");for(var u=UK(o,n),c=_P(rH(0,o)),l=0;l<u.length;++l){var h=u[l][0],p=u[l][1],f=uH(c,h,p-h),d=VK(t,f),v=e(d);if(0===l)for(var m=0;m<v.length;++m)s.push(cL(0));for(var g=0;g<v.length;++g){var y=v[g];s[g]=xD(s[g],ID(p-h,y))}}for(var b=0;b<s.length;++b)s[b]=wD(s[b],o);return s}))}},{key:"getDedupedMetricsNames",value:function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(gj(e,r)>1){var i=gj(e.slice(0,n),r);a+="_".concat(i)}t.push(a)}return t}},{key:"makeTrainFunction",value:function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new cq(t),l=pq(e.outputs,c,{training:!0}),h=0;h<e.lossFunctions.length;++h){var p=(0,e.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(p=EK(p,i[h]));var f=nz(p);n.push(f),u=0===h?p:xD(u,p)}for(var d=0;d<e.metricsTensors.length;++d){var v=void 0;if(e.outputs.length>1&&d<e.outputs.length)v=n[d];else{var m=e.metricsTensors[d][0],g=e.metricsTensors[d][1];v=nz(m(a[g],l[g]))}mD(v),o.push(v)}return u=nz(u),e.calculateLosses().forEach((function(e){u=xD(u,e)})),u}),!0,s)].concat(o)}}},{key:"makeTestFunction",value:function(){var e=this;this.testFunction=function(t){return dD((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new cq(o),c=pq(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var h=e.lossFunctions[l],p=nz(h(i[l],c[l]));n=0===l?p:xD(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=nz(d(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:(l=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,C,E,A,R=arguments;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=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,BK(d=null==a.batchSize?32:a.batchSize),v=!1,e.next=10,this.standardizeUserData(t,n,a.sampleWeight,a.classWeight,v,d);case 10:if(m=e.sent,i=m[0],o=m[1],f=m[2],g=!1,!(null!=a.validationData&&a.validationData.length>0)){e.next=36;break}if(g=!0,2!==a.validationData.length){e.next=22;break}c=a.validationData[0],l=a.validationData[1],e.next=27;break;case 22:if(3!==a.validationData.length){e.next=26;break}throw new pj("validationData including sample weights is not supported yet.");case 26:throw new hj("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+"".concat(a.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!=a.validationSplit&&a.validationSplit>0&&a.validationSplit<1?(g=!0,k=Math.floor(i[0].shape[0]*(1-a.validationSplit)),w=i[0].shape[0],h=WK(i,k,w),s=i,i=WK(i,0,k),p=WK(o,k,w),u=o,o=WK(o,0,k),y=h.concat(p)):null!=a.validationSteps&&(g=!0);case 37:return I=i.concat(o).concat(f),this.checkTrainableWeightsConsistency(),N=this.makeTrainFunction(),S=this.getDedupedMetricsNames(),g?(this.makeTestFunction(),T=this.testFunction,C=S.slice().concat(S.map((function(e){return"val_"+e})))):(T=null,y=[],C=S.slice()),E=zq(a.callbacks,a.yieldEvery),e.next=45,this.fitLoop(N,I,S,d,a.epochs,a.verbose,E,T,y,a.shuffle,C,a.initialEpoch,null,null);case 45:return A=e.sent,e.abrupt("return",A);case 47:return e.prev=47,this.isTraining=!1,jK(i,t),jK(o,n),jK(s,t),jK(u,n),jK(h,c),jK(p,l),null!=f&&vD(f),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])}))),function(e,t){return l.apply(this,arguments)})},{key:"fitLoop",value:(u=o(r().mark((function e(t,n,a,i,o,s,u,c,l,h,p,f,d,v){var m,g,y,b,x,k,w,I,N=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==i&&(i=32),null==o&&(o=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 hj("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(g=this.checkNumSamples(n,i,d,"steps_per_epoch"))&&(y=rH(0,g)),null==s&&(s=1),b=Bq(u,s,o,f,g,d,i,m,p),x=b.callbackList,k=b.history,x.setModel(this),this.history=k,e.next=18,x.onTrainBegin();case 18:this.stopTraining_=!1,w=r().mark((function e(){var o,s,u,p,f;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,x.onEpochBegin(I);case 2:if(o={},null==d){e.next=7;break}throw new pj("stepsPerEpoch mode is not implemented yet.");case 7:if("batch"!==h){e.next=11;break}throw new pj("batch shuffling is not implemneted yet");case 11:h&&KT(y);case 12:s=_P(y),u=UK(g,i),p=r().mark((function e(h){var p;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return p={},e.next=3,x.onBatchBegin(h,p);case 3:return dD((function(){var e=u[h][0],r=u[h][1],f=uH(s,e,r-e);p.batch=h,p.size=r-e;for(var d=VK(n,f),v=t(d),g=0;g<a.length;++g){var y=a[g],b=v[g];p[y]=b,mD(b)}if(h===u.length-1&&m)for(var x=N.testLoop(c,l,i),k=0;k<a.length;++k){var w=a[k],I=x[k];mD(I),o["val_"+w]=I}})),e.next=6,x.onBatchEnd(h,p);case 6:if(_q(p),!N.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),f=0;case 16:if(!(f<u.length)){e.next=24;break}return e.delegateYield(p(f),"t0",18);case 18:if("break"!==e.t0){e.next=21;break}return e.abrupt("break",24);case 21:++f,e.next=16;break;case 24:s.dispose();case 25:return e.next=27,x.onEpochEnd(I,o);case 27:if(!N.stopTraining_){e.next=29;break}return e.abrupt("return","break");case 29:case"end":return e.stop()}}),e)})),I=f;case 21:if(!(I<o)){e.next=29;break}return e.delegateYield(w(),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++I,e.next=21;break;case 29:return e.next=31,x.onTrainEnd();case 31:return e.next=33,this.history.syncData();case 33:return e.abrupt("return",this.history);case 34:case"end":return e.stop()}}),e,this)}))),function(e,t,n,r,a,i,o,s,c,l,h,p,f,d){return u.apply(this,arguments)})},{key:"fitDataset",value:(i=o(r().mark((function e(t,n){return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",OK(this,t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return i.apply(this,arguments)})},{key:"trainOnBatch",value:(n=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h,p,f;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:a=e.sent,i=a[0],o=a[1],s=this.makeTrainFunction(),u=s(i.concat(o)),c=[],l=A(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 vD(u),jK(a[0],t),jK(a[1],n),e.abrupt("return",yj(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=k(p(m.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=fD().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-fD().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"==typeof this.loss)e=xj(this.loss);else if(Array.isArray(this.loss)){var t,n=A(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 xj(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]=xj(a[s])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[xj(cK(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return xj(cK(e))}));var e={};for(var t in this.metrics)e[t]=xj(cK(this.metrics[t]));return e}},{key:"getTrainingConfig",value:function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}},{key:"loadTrainingConfig",value:function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=Wq(xK(e.optimizer_config));if("string"==typeof e.loss)t=kj(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return kj(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=kj(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return kj(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=kj(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})}},{key:"save",value:(t=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h,p;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(a=IF(t)).length){e.next=6;break}throw new hj("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(a.length>1)){e.next=8;break}throw new hj("Found more than one (".concat(a.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=a[0];case 9:if(null!=t.save){e.next=11;break}throw new hj("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,iF(this.getNamedWeights(n));case 13:if(i=e.sent,o=this.toJSON(null,!1),s={modelTopology:o,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v".concat(wK),convertedBy:null},null==n||!n.includeOptimizer||null==this.optimizer){e.next=34;break}return s.trainingConfig=this.getTrainingConfig(),c="optimizer",e.t0=cV,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=c,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,h=l.data,p=l.specs,(u=i.specs).push.apply(u,I(p)),i.data=fF([i.data,h]);case 34:return null!=this.userDefinedMetadata&&(hK(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=i.data,s.weightSpecs=i.specs,e.abrupt("return",t.save(s));case 38:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"setUserDefinedMetadata",value:function(e){hK(e,this.name),this.userDefinedMetadata=e}},{key:"getUserDefinedMetadata",value:function(){return this.userDefinedMetadata}}]),m}(IK);ZK.className="Model",FW(ZK);var QK=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n)}(ZK);function $K(){return $K=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(a=t.modelTopology).model_config&&(a=a.model_config),i=xK(a),o=Wq(i,n),null==t.weightsManifest){e.next=15;break}return e.next=9,JW(t.weightsManifest,t.pathPrefix,o.weights.map((function(e){return e.originalName})));case 9:s=e.sent,u={},c=A(o.weights);try{for(c.s();!(l=c.n()).done;)h=l.value,u[h.originalName]=s[h.originalName]}catch(e){c.e(e)}finally{c.f()}o.loadWeights(u),vD(s);case 15:return e.abrupt("return",o);case 16:case"end":return e.stop()}}),e)}))),$K.apply(this,arguments)}function eX(){return(eX=o(r().mark((function e(t,n){var a;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),"string"!=typeof t){e.next=10;break}if(0!==(a=NF(t,n)).length){e.next=7;break}a.push(aV(t,n)),e.next=9;break;case 7:if(!(a.length>1)){e.next=9;break}throw new hj("Found more than one (".concat(a.length,") load handlers for ")+"URL '".concat(t,"'"));case 9:t=a[0];case 10:return e.abrupt("return",tX(t,void 0,n));case 11:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function tX(e,t,n){return nX.apply(this,arguments)}function nX(){return nX=o(r().mark((function e(t,n,a){var i,o,s,u,c,l,h,p,f;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a={}),null!=t.load){e.next=3;break}throw new hj("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");case 3:return e.next=5,t.load();case 5:if(i=e.sent,null!=(o=i.modelTopology).model_config&&(o=o.model_config),s=null==a.strict||a.strict,u=null!=i.weightData&&null!=i.weightSpecs&&s,c=Wq(xK(o),n,u),null!=(l=i.trainingConfig)&&c.loadTrainingConfig(l),null!=i.userDefinedMetadata&&c.setUserDefinedMetadata(i.userDefinedMetadata),null==i.weightData){e.next=24;break}if(null!=i.weightSpecs){e.next=17;break}throw new hj("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");case 17:if(h=rX(i.weightData,i.weightSpecs),p=h.modelWeights,f=h.optimizerWeights,c.loadWeights(p,s),!(null!=c.optimizer&&f.length>0)){e.next=22;break}return e.next=22,c.optimizer.setWeights(f);case 22:vD(p),vD(f.map((function(e){return e.tensor})));case 24:return e.abrupt("return",c);case 25:case"end":return e.stop()}}),e)}))),nX.apply(this,arguments)}function rX(e,t){var n=sF(e,t),r={},a=[];return t.forEach((function(e){"optimizer"===e.group?a.push({name:e.name,tensor:n[e.name]}):r[e.name]=n[e.name]})),{modelWeights:r,optimizerWeights:a}}QK.className="Functional",FW(QK);var aX=function(e){h(i,e);var t,n,a=b(i);function i(e){var t;if(s(this,i),e=e||{},(t=a.call(this,{inputs:[],outputs:[]})).trainable=!0,t.built=!1,t.name=null!=e.name?e.name:zj("sequential_"),null!=e.layers){var n,r=A(e.layers);try{for(r.s();!(n=r.n()).done;){var o=n.value;t.add(o)}}catch(e){r.e(e)}finally{r.f()}}return t}return c(i,[{key:"checkShape",value:function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new hj("Negative dimension size caused by adding layer "+"".concat(e.name," with input shape [")+"".concat(e.inboundNodes[0].inputTensors[0].shape,"]"))}},{key:"add",value:function(e){var t,n=e instanceof i||e instanceof ZK;if(n){if(1!==(t=e).outputs.length)throw new hj("All layers in a Sequential model should have a single output tensor. 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For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=oq(this.outputs[0])}this.inboundNodes=[],new rq({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:vj(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(e){return e.shape})),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. 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hj("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new hj("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=WX(e,i);if("causal"===a)throw new pj("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=mB({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=eB(u,[0,3,1,2])),u}))}function jX(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 dD((function(){if(null==i&&(i="channelsLast"),jj(i),4!==e.rank&&5!==e.rank)throw new hj("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new hj("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=VX(e,i);if("causal"===a)throw new pj("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=EM(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=bH(s,n)),"channelsFirst"===i&&(s=eB(s,[0,4,1,2,3])),s}))}LX.className="Softmax",FW(LX);var HX=function(e){h(n,e);var t=b(n);function n(e,r){var a;if(s(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,_j(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new pj("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=zX(r.kernelSize,e,"kernelSize"),a.strides=zX(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,Hj(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,jj(a.dataFormat),a.activation=IX(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=jH(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Sq(r.biasConstraint),a.biasRegularizer=RX(r.biasRegularizer),a.activityRegularizer=RX(r.activityRegularizer),a.dilationRate=zX(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new hj("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 hj("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 hj("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return c(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:kX(this.activation),useBias:this.useBias,biasInitializer:GH(this.biasInitializer),biasRegularizer:EX(this.biasRegularizer),activityRegularizer:EX(this.activityRegularizer),biasConstraint:Iq(this.biasConstraint)},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(mj("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!Rj(e.kernelSize,"number",1,3))throw new hj("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(iq),qX=function(e){h(n,e);var t=b(n);function n(e,r){var a;return s(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,_j(a.filters,"filters"),a.kernelInitializer=jH(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Sq(r.kernelConstraint),a.kernelRegularizer=RX(r.kernelRegularizer),a}return c(n,[{key:"build",value:function(e){e=XH(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new hj("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:l({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t;e=KH(e);var r=null==n.bias?null:n.bias.read(),a=Fj(n.activation.getClassName());if(null!=a&&2===n.rank)t=GX(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=UX(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=GX(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new pj("convolutions greater than 3D are not implemented yet.");t=jX(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=XH(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=PX(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:GH(this.kernelInitializer),kernelRegularizer:EX(this.kernelRegularizer),kernelConstraint:Iq(this.kernelConstraint)},t=k(p(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 hj("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(HX),KX=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return c(n,[{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Rj(e.kernelSize,"number",1,2))throw new hj("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(qX);KX.className="Conv2D",FW(KX);var XX=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return c(n,[{key:"getConfig",value:function(){var e=k(p(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 hj("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(qX);XX.className="Conv3D",FW(XX);var YX=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),(r=t.call(this,e)).inputSpec=[new eq({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new hj("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return c(n,[{key:"build",value:function(e){if(4!==(e=XH(e)).length)throw new hj("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 hj("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 eq({ndim:4,axes:l({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(e);if(4!==t.shape.length)throw new hj("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,BX(s,h,c,n.padding),BX(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=eB(t,[0,2,3,1]));var d=CM(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=eB(d,[0,3,1,2])),null!=n.bias&&(d=bH(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=XH(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]=BX(a[n],s,i,this.padding),a[r]=BX(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(KX);YX.className="Conv2DTranspose",FW(YX);var JX=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),(r=t.call(this,e)).inputSpec=[new eq({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new hj("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return c(n,[{key:"build",value:function(e){if(5!==(e=XH(e)).length)throw new hj("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 hj("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 eq({ndim:5,axes:l({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(e);if(5!==t.shape.length)throw new hj("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,BX(u,d,h,n.padding),BX(c,v,p,n.padding),BX(l,m,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=eB(t,[0,2,3,4,1]));var y=RM(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=eB(y,[0,4,1,2,3])),null!==n.bias&&(y=bH(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=XH(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]=BX(i[n],c,o,this.padding),i[r]=BX(i[r],l,s,this.padding),i[a]=BX(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(XX);JX.className="Conv3DTranspose",FW(JX);var ZX=function(e){h(n,e);var t=b(n);function n(e,r){var a;if(s(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 hj("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new hj("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 hj("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=jH(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=RX(r.depthwiseRegularizer),a.depthwiseConstraint=Sq(r.depthwiseConstraint),a.pointwiseInitializer=jH(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=RX(r.pointwiseRegularizer),a.pointwiseConstraint=Sq(r.pointwiseConstraint),a}return c(n,[{key:"build",value:function(e){if((e=XH(e)).length<this.rank+2)throw new hj("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 hj("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 eq({ndim:this.rank+2,axes:l({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t;if(e=KH(e),1===n.rank)throw new pj("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=eB(e,[0,2,3,1])),t=cP(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=bH(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=eB(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=GH(this.depthwiseInitializer),e.pointwiseInitializer=GH(this.pointwiseInitializer),e.depthwiseRegularizer=EX(this.depthwiseRegularizer),e.pointwiseRegularizer=EX(this.pointwiseRegularizer),e.depthwiseConstraint=Iq(this.depthwiseConstraint),e.pointwiseConstraint=Iq(this.pointwiseConstraint),e}}]),n}(qX);ZX.className="SeparableConv";var QX=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,2,e)}return c(n)}(ZX);QX.className="SeparableConv2D",FW(QX);var $X=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return c(n,[{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Rj(e.kernelSize,"number",1,1))throw new hj("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(qX);$X.className="Conv1D",FW($X);var eY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(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 dD((function(){if(e=KH(e),"channelsLast"===n.dataFormat){var t=lH(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return lH(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=lH(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return lH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);eY.className="Cropping2D",FW(eY);var tY=function(e){h(n,e);var t=b(n);function n(e){var r,a;return s(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,jj(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,Aj(Bj,"InterpolationFormat",a),r}return c(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 dD((function(){var t=KH(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=eB(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?TW.resizeNearestNeighbor(t,[a,i]):TW.resizeBilinear(t,[a,i]);return eB(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?TW.resizeNearestNeighbor(t,[s,u]):TW.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);tY.className="UpSampling2D",FW(tY);var nY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=jH(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Sq(e.depthwiseConstraint),r.depthwiseRegularizer=RX(e.depthwiseRegularizer),r}return c(n,[{key:"build",value:function(e){if((e=XH(e)).length<4)throw new hj("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 hj("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 dD((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 dD((function(){null==a&&(a="channelsLast"),jj(a);var o=WX(e,a);if(4!==e.rank)throw new hj("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new hj("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=zM(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=eB(o,[0,3,1,2])),o}))}(e=KH(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=bH(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=XH(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=PX(t,this.kernelSize[0],this.padding,this.strides[0]),i=PX(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=k(p(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=GH(this.depthwiseInitializer),e.depthwiseRegularizer=EX(this.depthwiseRegularizer),e.depthwiseConstraint=Iq(this.depthwiseRegularizer),e}}]),n}(HX);function rY(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new hj("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 aY(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 dD((function(){var u=t.shape.length;if(u<3)throw new hj("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(rH(2,u));if(t=eB(t,c),null!=i)throw new pj("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=uD(uD(a,"bool"),"float32")).rank===u-1&&(a=gL(a,-1)),a=eB(a,c)),r&&(t=tP(t,0),null!=a&&(a=tP(a,0)));var l,h,p=[],f=n,d=t.shape[0],v=qP(t);null!=a&&(h=qP(a));for(var m,g=function(t){var n=v[t],r=dD((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=dD((function(){var e=h[t],n=UL(dz(e),e);return{output:xD(ID(r[0],e),ID(f[0],n)),newStates:f.map((function(t,a){return xD(ID(r[1][a],e),ID(t,n))}))}}));l=i.output,f=i.newStates}s&&p.push(l)},y=0;y<d;++y)g(y);if(s){m=CP(p,1)}return[l,m,f]}))}nY.className="DepthwiseConv2D",FW(nY);var iY=function(e){h(n,e);var t=b(n);function n(e){var r,a;if(s(this,n),r=t.call(this,e),null==e.cell)throw new hj("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new fY({cells:e.cell}):e.cell).stateSize)throw new hj("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 eq({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return c(n,[{key:"getStates",value:function(){return null==this.states_?rH(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){HH(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=A(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 dD((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 pj("Constants support is not implemented in RNN yet.");HH(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new eq({shape:[t,null].concat(I(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(!nC(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new hj("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 eq({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];dD((function(){if(!t.stateful)throw new cj("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new hj("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 rz([r,e])})):t.states_=[rz([r,t.cell.stateSize])];else if(null==e)vD(t.states_),null!=t.keptStates&&(vD(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return rz([r,e])})):t.states_[0]=rz([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new hj("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()):vD(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(!nC(i.shape,s))throw new hj("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 mD(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=rY(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=A(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new eq({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 tq){var h=[e].concat(o),f=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=f;var v=k(p(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=d,v}return k(p(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return dD((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=KH(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 hj("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=aY((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 dD((function(){var n=rz(e.shape);return n=oH(n=pL(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?fH(n,[1,e]):n})):t.cell.stateSize>1?[fH(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){k(p(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=k(p(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=Wq(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(iq);iY.className="RNN",FW(iY);var oY=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n)}(iq),sY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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,_j(r.units,"units"),r.activation=IX(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=jH(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=jH(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=jH(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=RX(e.kernelRegularizer),r.recurrentRegularizer=RX(e.recurrentRegularizer),r.biasRegularizer=RX(e.biasRegularizer),r.kernelConstraint=Sq(e.kernelConstraint),r.recurrentConstraint=Sq(e.recurrentConstraint),r.biasConstraint=Sq(e.biasConstraint),r.dropout=tH([1,nH([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=tH([1,nH([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return c(n,[{key:"build",value:function(e){e=XH(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 dD((function(){if(2!==e.length)throw new hj("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=dY({ones:function(){return dz(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=dY({ones:function(){return dz(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=vH(null!=o?ID(e,o):e,n.kernel.read()),null!=n.bias&&(a=bH(a,n.bias.read())),null!=s&&(r=ID(r,s));var u=xD(a,vH(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:kX(this.activation),useBias:this.useBias,kernelInitializer:GH(this.kernelInitializer),recurrentInitializer:GH(this.recurrentInitializer),biasInitializer:GH(this.biasInitializer),kernelRegularizer:EX(this.kernelRegularizer),recurrentRegularizer:EX(this.recurrentRegularizer),biasRegularizer:EX(this.biasRegularizer),activityRegularizer:EX(this.activityRegularizer),kernelConstraint:Iq(this.kernelConstraint),recurrentConstraint:Iq(this.recurrentConstraint),biasConstraint:Iq(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(oY);sY.className="SimpleRNNCell",FW(sY);var uY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),e.cell=new sY(e),t.call(this,e)}return c(n,[{key:"call",value:function(e,t){var r=this;return dD((function(){null!=r.cell.dropoutMask&&(vD(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(vD(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 k(p(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(iY);uY.className="SimpleRNN",FW(uY);var cY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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 hj("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,_j(r.units,"units"),r.activation=IX(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=IX(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=jH(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=jH(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=jH(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=RX(e.kernelRegularizer),r.recurrentRegularizer=RX(e.recurrentRegularizer),r.biasRegularizer=RX(e.biasRegularizer),r.kernelConstraint=Sq(e.kernelConstraint),r.recurrentConstraint=Sq(e.recurrentConstraint),r.biasConstraint=Sq(e.biasConstraint),r.dropout=tH([1,nH([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=tH([1,nH([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 c(n,[{key:"build",value:function(e){var t=(e=XH(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 dD((function(){if(2!==e.length)throw new hj("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=dY({ones:function(){return dz(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=dY({ones:function(){return dz(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=ID(e,u[0]));var l=vH(e,n.kernel.read());n.useBias&&(l=bH(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=ID(a,c[0]));var h=n.recurrentKernel.read(),p=w(IP(h,[2*n.units,n.units],h.rank-1),2),f=p[0],d=p[1],v=vH(a,f),m=w(IP(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=w(IP(v,2,v.rank-1),2),k=x[0],I=x[1];i=n.recurrentActivation.apply(xD(g,k)),o=n.recurrentActivation.apply(xD(y,I));var N=vH(ID(o,a),d);s=n.activation.apply(xD(b,N));var S=xD(ID(i,a),ID(xD(1,BL(i)),s));return[S,S]}))}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:kX(this.activation),recurrentActivation:kX(this.recurrentActivation),useBias:this.useBias,kernelInitializer:GH(this.kernelInitializer),recurrentInitializer:GH(this.recurrentInitializer),biasInitializer:GH(this.biasInitializer),kernelRegularizer:EX(this.kernelRegularizer),recurrentRegularizer:EX(this.recurrentRegularizer),biasRegularizer:EX(this.biasRegularizer),activityRegularizer:EX(this.activityRegularizer),kernelConstraint:Iq(this.kernelConstraint),recurrentConstraint:Iq(this.recurrentConstraint),biasConstraint:Iq(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(oY);cY.className="GRUCell",FW(cY);var lY=function(e){h(n,e);var t=b(n);function n(e){return s(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 cY(e),t.call(this,e)}return c(n,[{key:"call",value:function(e,t){var r=this;return dD((function(){null!=r.cell.dropoutMask&&(vD(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(vD(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 k(p(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}(iY);lY.className="GRU",FW(lY);var hY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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,_j(r.units,"units"),r.activation=IX(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=IX(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=jH(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=jH(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=jH(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=RX(e.kernelRegularizer),r.recurrentRegularizer=RX(e.recurrentRegularizer),r.biasRegularizer=RX(e.biasRegularizer),r.kernelConstraint=Sq(e.kernelConstraint),r.recurrentConstraint=Sq(e.recurrentConstraint),r.biasConstraint=Sq(e.biasConstraint),r.dropout=tH([1,nH([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=tH([1,nH([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 c(n,[{key:"build",value:function(e){var t,n,r=(e=XH(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){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new CH).apply([i]),o=a.apply([2*i]);return pH(pH(n,r),o)}}]),n}(SH),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 dD((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new hj("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=dY({ones:function(){return dz(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=dY({ones:function(){return dz(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=ID(e,l[0]));var p=vH(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=ID(a,h[0])),p=xD(p,vH(a,n.recurrentKernel.read())),n.useBias&&(p=bH(p,n.bias.read()));var f=w(IP(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=xD(ID(s,i),ID(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=ID(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:kX(this.activation),recurrentActivation:kX(this.recurrentActivation),useBias:this.useBias,kernelInitializer:GH(this.kernelInitializer),recurrentInitializer:GH(this.recurrentInitializer),biasInitializer:GH(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:EX(this.kernelRegularizer),recurrentRegularizer:EX(this.recurrentRegularizer),biasRegularizer:EX(this.biasRegularizer),activityRegularizer:EX(this.activityRegularizer),kernelConstraint:Iq(this.kernelConstraint),recurrentConstraint:Iq(this.recurrentConstraint),biasConstraint:Iq(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(oY);hY.className="LSTMCell",FW(hY);var pY=function(e){h(n,e);var t=b(n);function n(e){return s(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 hY(e),t.call(this,e)}return c(n,[{key:"call",value:function(e,t){var r=this;return dD((function(){null!=r.cell.dropoutMask&&(vD(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(vD(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 k(p(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}(iY);pY.className="LSTM",FW(pY);var fY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).cells=e.cells,r}return c(n,[{key:"stateSize",get:function(){var e,t=[],n=A(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,I(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 dD((function(){var r,a=e.slice(1),i=[],o=A(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=A(c.slice().reverse());try{for(f.s();!(p=f.n()).done;){var d,v=p.value;(d=a).push.apply(d,I(v))}}catch(e){f.e(e)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;HH(e)&&(e=e[0]),this.cells.forEach((function(n,r){Xj("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=k(p(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=A(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,I(r.trainableWeights))}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=A(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,I(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=A(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,I(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=A(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,I(r.weights))}}catch(e){n.e(e)}finally{n.f()}return QH(t)}},{key:"setWeights",value:function(e){var t,n=[],r=A(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()}$H(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=A(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Wq(o,r))}}catch(e){i.e(e)}finally{i.f()}return new e({cells:a})}}]),n}(oY);function dY(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):kH(t(),n)},c=function(){return wH(u,t,a)};return!o||o<=1?mD(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return mD(e.clone())}))}fY.className="StackedRNNCells",FW(fY);var vY=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},mY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),e.unroll)throw new pj("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new pj("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new eq({ndim:5})],r}return c(n,[{key:"call",value:function(e,t){var r=this;return dD((function(){if(null!=r.cell.dropoutMask&&(vD(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(vD(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new hj("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 k(p(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(I(t.slice(2)))),this.returnState&&(t=[t].concat(I(Array(2).fill([e[0]].concat(I(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return dD((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=rz([a[0]].concat(I(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];dD((function(){if(!t.stateful)throw new cj("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(I(a.slice(2)));if(null==r[0])throw new hj("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 rz(i)})):t.states_=[rz(i)];else if(null==e)vD(t.states_),null!=t.keptStates&&(vD(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return rz(i)})):t.states_[0]=rz(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new hj("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()):vD(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!nC(s.shape,u))throw new hj("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 mD(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=PX(c,a[0],i,o[0],s[0]),p=PX(l,a[1],i,o[1],s[1]);return[].concat(I(e.slice(0,2)),I(u?[r,h,p]:[h,p,r]))}}]),n}(iY);mY.className="ConvRNN2D";var gY=function(e){h(n,e);var t=b(n);function n(e){var r;s(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,u=e.padding,c=e.dataFormat,l=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,_j(r.filters,"filters"),r.kernelSize=zX(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return _j(e,"kernelSize")})),r.strides=zX(o||1,2,"strides"),r.strides.forEach((function(e){return _j(e,"strides")})),r.padding=u||"valid",Hj(r.padding),r.dataFormat=c||"channelsLast",jj(r.dataFormat),r.dilationRate=zX(l||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return _j(e,"dilationRate")})),r}return c(n,[{key:"build",value:function(e){var t;e=XH(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new hj("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 u=this.biasInitializer,l=this.filters;o=new(t=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"apply",value:function(e,t){return hH([u.apply([l]),az([l]),u.apply([2*l])])}}]),n}(SH),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 dD((function(){if(3!==e.length)throw new hj("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=dY({ones:function(){return dz(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?ID(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=dY({ones:function(){return dz(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=w(IP(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],I=y[3],N=w(n.useBias?IP(n.bias.read(),4):[null,null,null,null],4),S=N[0],T=N[1],C=N[2],E=N[3];c=n.inputConv(c,b,S,n.padding),l=n.inputConv(l,x,T,n.padding),h=n.inputConv(h,k,C,n.padding),p=n.inputConv(p,I,E,n.padding);var A=w(IP(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(xD(c,d)),M=n.recurrentActivation.apply(xD(l,v)),L=xD(ID(M,o),ID(D,n.activation.apply(xD(h,m)))),z=ID(n.recurrentActivation.apply(xD(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this),t=(e.units,vY(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=NM(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?bH(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return NM(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(hY);gY.className="ConvLSTM2DCell",FW(gY);var yY=function(e){h(n,e);var t=b(n);function n(e){s(this,n);var r=new gY(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return c(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(mY);yY.className="ConvLSTM2D",FW(yY);var bY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(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 dD((function(){n.invokeCallHook(e,t);var r=KH(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return wH((function(){return kH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return k(p(n.prototype),"dispose",this).call(this)}}]),n}(iq);bY.className="Dropout",FW(bY);var xY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return c(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(bY);xY.className="SpatialDropout1D",FW(xY);var kY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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,_j(r.units,"units"),r.activation=IX(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=jH(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=jH(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Sq(e.kernelConstraint),r.biasConstraint=Sq(e.biasConstraint),r.kernelRegularizer=RX(e.kernelRegularizer),r.biasRegularizer=RX(e.biasRegularizer),r.activityRegularizer=RX(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return c(n,[{key:"build",value:function(e){var t=(e=XH(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:l({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=XH(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return dD((function(){n.invokeCallHook(e,t);var r,a=KH(e),i=Fj(n.activation.getClassName());return null!=i?r=vH(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=vH(a,n.kernel.read()),null!=n.bias&&(r=bH(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:kX(this.activation),useBias:this.useBias,kernelInitializer:GH(this.kernelInitializer),biasInitializer:GH(this.biasInitializer),kernelRegularizer:EX(this.kernelRegularizer),biasRegularizer:EX(this.biasRegularizer),activityRegularizer:EX(this.activityRegularizer),kernelConstraint:Iq(this.kernelConstraint),biasConstraint:Iq(this.biasConstraint)},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);kY.className="Dense",FW(kY);var wY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return c(n,[{key:"computeOutputShape",value:function(e){var t,n=A((e=XH(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new hj('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],eH(e,1)]}},{key:"call",value:function(e,t){var n=this;return dD((function(){n.invokeCallHook(e,t);var r=KH(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=eB(r,a)}return function(e){if(e.rank<=1)throw new hj("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],eH(e.shape,1)];return eM(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);wY.className="Flatten",FW(wY);var IY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=IX(e.activation),r}return c(n,[{key:"call",value:function(e,t){var n=this;return dD((function(){n.invokeCallHook(e,t);var r=KH(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:kX(this.activation)},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);IY.className="Activation",FW(IY);var NY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return c(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return dD((function(){return e=KH(e),t=e,r=n.n,dD((function(){if(2!==t.shape.length)throw new hj("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return fH(oH(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);NY.className="RepeatVector",FW(NY);var SY=function(e){h(n,e);var t=b(n);function n(e){var r;s(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 c(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 hj("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=eH(e);if(null!==i){if(0===a||u%a!=0)throw new hj(n);r[i]=u/a}else if(u!==a)throw new hj(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 dD((function(){n.invokeCallHook(e,t);var r=KH(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return eM(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);SY.className="Reshape",FW(SY);var TY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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=rH(1,e.dims.length+1);if(!nC(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 eq({ndim:r.dims.length+1})],r}return c(n,[{key:"computeOutputShape",value:function(e){var t=(e=XH(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return eB(KH(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);TY.className="Permute",FW(TY);var CY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return c(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=k(p(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=KH(e);return AD(pz(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return dD((function(){n.invokeCallHook(e,t);var r=KH(e),a=AD(pz(r,n.maskValue),-1,!0);return ID(r,uD(a,r.dtype))}))}}]),n}(iq);CY.className="Masking",FW(CY);var EY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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(bj(e.inputLength))}return r.inputDim=e.inputDim,_j(r.inputDim,"inputDim"),r.outputDim=e.outputDim,_j(r.outputDim,"outputDim"),r.embeddingsInitializer=jH(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=RX(e.embeddingsRegularizer),r.activityRegularizer=RX(e.activityRegularizer),r.embeddingsConstraint=Sq(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return c(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 dD((function(){return n.maskZero?(e=KH(e),pz(e,qM(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=XH(e),null==this.inputLength)return[].concat(I(e),[this.outputDim]);var t=bj(this.inputLength);if(t.length!==e.length-1)throw new hj('"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 hj('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(I(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return dD((function(){n.invokeCallHook(e,t);var r=KH(e);"int32"!==r.dtype&&(r=iH(r,"int32"));var a=mH(n.embeddings.read(),eM(r,[r.size]));return eM(a,XH(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:GH(this.embeddingsInitializer),embeddingsRegularizer:EX(this.embeddingsRegularizer),activityRegularizer:EX(this.activityRegularizer),embeddingsConstraint:Iq(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);EY.className="Embedding",FW(EY);var AY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return c(n,[{key:"mergeFunction",value:function(e){throw new pj}},{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 hj("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=[XH(e)]),e.length<2)throw new hj("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=A(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=Cj(n)).length>1)throw new hj("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===Cj(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return dD((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=nH(r),o=A(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=oH(s,1);t.push(s)}}catch(e){o.e(e)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=A(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=eM(f,[m].concat(eH(v.slice(1))));y=eB(y,[1,0]),y=eM(y,g),t.push(y),h=!0}else if(d>1){var b=rH(1,d).concat([0]);t.push(eB(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=eM(eB(eM(x,[-1,I]),[1,0]),N)}else if(k>1){var S=[k-1].concat(rH(0,k-1));x=eB(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=A(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=Cj(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return dD((function(){if(null==t)return null;if(!Array.isArray(t))throw new hj("`mask` should be an Array");if(!Array.isArray(e))throw new hj("`inputs` should be an Array");if(t.length!==e.length)throw new hj("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:gL(e,0)})))[0],r=1;r<t.length-1;++r)n=HL(n,t[r]);return n}))}}]),n}(iq),RY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"mergeFunction",value:function(e){return dD((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=xD(t,e[n]);return t}))}}]),n}(AY);RY.className="Add",FW(RY);var _Y=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"mergeFunction",value:function(e){return dD((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=ID(t,e[n]);return t}))}}]),n}(AY);_Y.className="Multiply",FW(_Y);var OY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"mergeFunction",value:function(e){return dD((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=xD(t,e[n]);return ID(1/e.length,t)}))}}]),n}(AY);OY.className="Average",FW(OY);var FY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"mergeFunction",value:function(e){return dD((function(){for(var t=e[0],n=1;n<e.length;++n)t=tz(t,e[n]);return t}))}}]),n}(AY);FY.className="Maximum",FW(FY);var DY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"mergeFunction",value:function(e){return dD((function(){for(var t=e[0],n=1;n<e.length;++n)t=oz(t,e[n]);return t}))}}]),n}(AY);DY.className="Minimum",FW(DY);var MY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new hj("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=A(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=A(a);try{for(c.s();!(s=c.n()).done;){if(nC(s.value,o)){u=!0;break}}}catch(e){c.e(e)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new hj("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 dD((function(){return hH(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new hj("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=A(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 hj("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new hj("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new hj("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return dD((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(uD(dz(e[i]),"bool")):t[i].rank<e[i].rank?a.push(gL(t[i],-1)):a.push(t[i]);var o=rM(a,n.axis);return ED(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(AY);function LY(e,t){for(;e<0;)e+=t;return e}MY.className="Concatenate",FW(MY);var zY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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 c(n,[{key:"build",value:function(e){QT(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 pj("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 hj("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new hj("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 LY(t,e[n].shape.length)})):[LY(this.axes,n.shape.length),LY(this.axes,r.shape.length)],this.normalize&&(n=Vq(n,t[0]),r=Vq(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new pj("batchDot is not implemented for tensors of 4D or higher rank yet");if(QT(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),QT(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 pj("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 dD((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=eM(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=eM(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?pL(ID(e,t),i[0]):pL(ID(eB(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=aM(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=TP(o,d)}return 1===o.shape.length&&(o=gL(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[LY(this.axes,e.length),LY(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){QT(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 pj("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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(AY);zY.className="Dot",FW(zY);var PY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return c(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=k(p(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 dD((function(){n.invokeCallHook(e,t);var r=KH(e);return wH((function(){return xD(dH(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(iq);PY.className="GaussianNoise",FW(PY);var BY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return c(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=k(p(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 dD((function(){n.invokeCallHook(e,t);var r=KH(e);if(n.rate>0&&n.rate<1){return wH((function(){var e=Math.sqrt(n.rate/(1-n.rate));return ID(r,dH(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(iq);BY.className="GaussianDropout",FW(BY);var WY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return c(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||KH(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=k(p(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 dD((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return wH((function(){var t=KH(e),a=-1.7580993408473766,i=NL(Yz(r),n.rate);i=iH(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=xD(ID(t,i),ID(xD(i,-1),a));return xD(ID(u,o),s)}),(function(){return KH(e)}),t.training||!1)}return e}))}}]),n}(iq);function VY(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=hM(e,t,n,r,a,o);else if(3===e.rank)i=pM(e,t,n,r,a,o);else{if(4!==e.rank)throw new pj("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=fM(e,t,n,r,a,o)}return i}function UY(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return dD((function(){var i=cz(e,r),o=i.mean,s=i.variance;return[VY(e,o,s,n,t,a),o,s]}))}function GY(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return dD((function(){var i,o=cz(e,r),s=o.mean,u=o.variance,c=[],l=A(rH(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=eM(s,c),f=eM(u,c),d=null==t?null:eM(t,c),v=null==n?null:eM(n,c);return[VY(e,p,f,v,d,a),s,u]}))}WY.className="AlphaDropout",FW(WY);var jY=function(e){h(n,e);var t=b(n);function n(e){var r;return s(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=jH(e.betaInitializer||"zeros"),r.gammaInitializer=jH(e.gammaInitializer||"ones"),r.movingMeanInitializer=jH(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=jH(e.movingVarianceInitializer||"ones"),r.betaConstraint=Sq(e.betaConstraint),r.gammaConstraint=Sq(e.gammaConstraint),r.betaRegularizer=RX(e.betaRegularizer),r.gammaRegularizer=RX(e.gammaRegularizer),r}return c(n,[{key:"build",value:function(e){e=XH(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new hj("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 eq({ndim:e.length,axes:l({},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 dD((function(){var r=null!=t.training&&t.training,a=KH(e),i=a.shape,o=i.length,s=rH(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=vj(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!nC(l,rH(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=eM(n.movingMean.read(),c),t=eM(n.movingVariance.read(),c),r=n.center?eM(n.beta.read(),c):null,i=n.scale?eM(n.gamma.read(),c):null;return VY(a,e,t,r,i,n.epsilon)}return VY(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 nC(r.slice().sort(),rH(0,e.rank-1))?UY(e,t,n,r,a):GY(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=w(p,3),d=f[0],v=f[1],m=f[2],g=function(e,t,n){dD((function(){var r=1-n,a=e.read(),i=ID(UL(a,t),r);e.write(UL(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:GH(this.betaInitializer),gammaInitializer:GH(this.gammaInitializer),movingMeanInitializer:GH(this.movingMeanInitializer),movingVarianceInitializer:GH(this.movingVarianceInitializer),betaRegularizer:EX(this.betaRegularizer),gammaRegularizer:EX(this.gammaRegularizer),betaConstraint:Iq(this.betaConstraint),gammaConstraint:Iq(this.gammaConstraint)},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);jY.className="BatchNormalization",FW(jY);var HY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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=A(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=jH(e.betaInitializer||"zeros"),r.gammaInitializer=jH(e.gammaInitializer||"ones"),r.betaRegularizer=RX(e.betaRegularizer),r.gammaRegularizer=RX(e.gammaRegularizer),r.supportsMasking=!0,r}return c(n,[{key:"build",value:function(e){var t=(e=XH(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=A(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!==Cj(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=KH(e),a=r.shape,i=a.length;return dD((function(){var e,t=cz(r,n.axis,!0),o=t.mean,s=t.variance,u=vj(1,i),c=A(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?eM(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=bL(o,d),s=bL(s,d),null!=p&&(p=bL(p,v)),null!=f&&(f=bL(f,v)),VY(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:GH(this.betaInitializer),gammaInitializer:GH(this.gammaInitializer),betaRegularizer:EX(this.betaRegularizer),gammaRegularizer:EX(this.gammaRegularizer)},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);HY.className="LayerNormalization",FW(HY);var qY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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 hj("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 hj("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 hj("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 eq({ndim:4})],r}return c(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=XH(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 dD((function(){return t=KH(e),r=n.padding,a=n.dataFormat,dD((function(){if(4!==t.rank)throw new hj("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 hj("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 hj("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]],mz(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);function KY(e,t,n,r,a,i){return dD((function(){var o;jj(a),qj(i),Hj(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=WX(e,a);var s="same"===r?"same":"valid";return o="max"===i?QL(e,t,n,s):tM(e,t,n,s),"channelsFirst"===a&&(o=eB(o,[0,3,1,2])),o}))}function XY(e,t,n,r,a,i){return dD((function(){var o;jj(a),qj(i),Hj(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=VX(e,a);var s="same"===r?"same":"valid";return o="max"===i?$L(e,t,n,s):nM(e,t,n,s),"channelsFirst"===a&&(o=eB(o,[0,4,1,2,3])),o}))}qY.className="ZeroPadding2D",FW(qY);var YY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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 hj("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(_j(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 hj("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 _j(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,Hj(r.padding),r.inputSpec=[new eq({ndim:3})],r}return c(n,[{key:"computeOutputShape",value:function(e){var t=PX((e=XH(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 dD((function(){n.invokeCallHook(e,t),e=oH(KH(e),2);var r=n.poolingFunction(KH(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return TP(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq),JY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),KY(e,t,n,r,a,"max")}}]),n}(YY);JY.className="MaxPooling1D",FW(JY);var ZY=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),KY(e,t,n,r,a,"avg")}}]),n}(YY);ZY.className="AveragePooling1D",FW(ZY);var QY=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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 hj("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 _j(r.poolSize,"poolSize"),_j(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jj(r.dataFormat),Hj(r.padding),r.inputSpec=[new eq({ndim:4})],r}return c(n,[{key:"computeOutputShape",value:function(e){e=XH(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=PX(t,this.poolSize[0],this.padding,this.strides[0]),n=PX(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 dD((function(){return n.invokeCallHook(e,t),n.poolingFunction(KH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq),$Y=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),KY(e,t,n,r,a,"max")}}]),n}(QY);$Y.className="MaxPooling2D",FW($Y);var eJ=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),KY(e,t,n,r,a,"avg")}}]),n}(QY);eJ.className="AveragePooling2D",FW(eJ);var tJ=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(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 hj("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 _j(r.poolSize,"poolSize"),_j(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jj(r.dataFormat),Hj(r.padding),r.inputSpec=[new eq({ndim:5})],r}return c(n,[{key:"computeOutputShape",value:function(e){e=XH(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=PX(t,this.poolSize[0],this.padding,this.strides[0]),n=PX(n,this.poolSize[1],this.padding,this.strides[1]),r=PX(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 dD((function(){return n.invokeCallHook(e,t),n.poolingFunction(KH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq),nJ=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),XY(e,t,n,r,a,"max")}}]),n}(tJ);nJ.className="MaxPooling3D",FW(nJ);var rJ=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e)}return c(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jj(a),Hj(r),XY(e,t,n,r,a,"avg")}}]),n}(tJ);rJ.className="AveragePooling3D",FW(rJ);var aJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).inputSpec=[new eq({ndim:3})],r}return c(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new pj}}]),n}(iq),iJ=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e||{})}return c(n,[{key:"call",value:function(e,t){return dD((function(){var t=KH(e);return nz(t,1)}))}}]),n}(aJ);iJ.className="GlobalAveragePooling1D",FW(iJ);var oJ=function(e){h(n,e);var t=b(n);function n(e){return s(this,n),t.call(this,e||{})}return c(n,[{key:"call",value:function(e,t){return dD((function(){var t=KH(e);return oL(t,1)}))}}]),n}(aJ);oJ.className="GlobalMaxPooling1D",FW(oJ);var sJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jj(r.dataFormat),r.inputSpec=[new eq({ndim:4})],r}return c(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 pj}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq),uJ=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(e);return"channelsLast"===n.dataFormat?nz(t,[1,2]):nz(t,[2,3])}))}}]),n}(sJ);uJ.className="GlobalAveragePooling2D",FW(uJ);var cJ=function(e){h(n,e);var t=b(n);function n(){return s(this,n),t.apply(this,arguments)}return c(n,[{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(e);return"channelsLast"===n.dataFormat?oL(t,[1,2]):oL(t,[2,3])}))}}]),n}(sJ);cJ.className="GlobalMaxPooling2D",FW(cJ);var lJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).layer=e.layer,r}return c(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){k(p(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=Wq(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(iq),hJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return c(n,[{key:"build",value:function(e){if((e=XH(e)).length<3)throw new hj("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),k(p(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=XH(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 dD((function(){return aY((function(e,r){return[KH(n.layer.call(e,t)),[]]}),e=KH(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(lJ);hJ.className="TimeDistributed",FW(hJ);var pJ=function(e){h(n,e);var t=b(n);function n(e){var r;s(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=Wq(i),a.goBackwards=!0!==a.goBackwards;var o,u={};if(u.className=e.layer.getClassName(),u.config=a,r.backwardLayer=Wq(u),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,Aj(Uj,"BidirectionalMergeMode",o),e.weights)throw new pj("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 c(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()):yj(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=rY(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 k(p(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new hj("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,I(r));var c=r.map((function(e){return new eq({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,I(c))}if(null!=a)throw new pj("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof tq,h=0,f=o;h<f.length;h++){if(f[h]instanceof tq!==l)throw new hj("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var d=[e].concat(o),v=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=v;var g=k(p(n.prototype),"apply",this).call(this,d,t);return this.inputSpec=m,g}return k(p(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return dD((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=tP(a,1)),"concat"===n.mergeMode?o=hH([r,a]):"sum"===n.mergeMode?o=xD(r,a):"ave"===n.mergeMode?o=ID(.5,xD(r,a)):"mul"===n.mergeMode?o=ID(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;Xj(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),Xj(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){k(p(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=Wq(t.layer);if(delete t.layer,null!=t.numConstants)throw new pj("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(lJ);pJ.className="Bidirectional",FW(pJ);var fJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return c(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return dD((function(){return"float32"!==(e=KH(e)).dtype&&(e=iH(e,"float32")),xD(ID(e,n.scale),n.offset)}))}}]),n}(iq);fJ.className="Rescaling",FW(fJ);var dJ=TW.resizeBilinear,vJ=TW.cropAndResize,mJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return c(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return dD((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=CP([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var f=rF(h,[h.length,4]),d=Jz(0,h.length,1,"int32"),v=vJ(u,f,d,[r,a],"nearest");return iH(c?KH(qP(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return dD((function(){return iH(dJ(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=XH(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(iq);mJ.className="CenterCrop",FW(mJ);var gJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return c(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=XH(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 dD((function(){var r;if("int32"!==(e=KH(e)).dtype&&(e=iH(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new hj("countWeights is not used when outputMode !== count.\n              Received countWeights=".concat(t.countWeights));r=KH(t.countWeights)}var a=oL(e),i=sL(e),o=IL(n.numTokens,a).bufferSync().get(0),s=NL(i,0).bufferSync().get(0);if(!o||!s)throw new hj("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=KH(e);if("int32"!==a.dtype&&(a=iH(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=gL(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=gL(a,-1)),a.rank>2)throw new hj("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=MM(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return ID(o,r);throw new hj("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(iq);gJ.className="CategoryEncoding",FW(gJ);var yJ=new Set(["bilinear","nearest"]),bJ=function(e){h(n,e);var t=b(n);function n(e){var r;if(s(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!yJ.has(e.interpolation))throw new hj("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 c(n,[{key:"computeOutputShape",value:function(e){var t=(e=XH(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=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return TW.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return TW.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(I(yJ)," are supported"))}))}}]),n}(iq);bJ.className="Resizing",FW(bJ);var xJ=function(){function e(t){s(this,e),this.seed=t}return c(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();xJ.className="RandomSeed";var kJ=function(e){h(n,e);var t=b(n);function n(e){var r;return s(this,n),(r=t.call(this,e)).randomGenerator=new xJ(e.seed),r}return c(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iq);kJ.className="BaseRandomLayer";var wJ=new Set(["bilinear","nearest"]),IJ=function(e){h(n,e);var t=b(n);function n(e){var r;s(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 hj("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 hj("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new hj("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(!wJ.has(o))throw new hj("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return c(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=k(p(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=XH(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return dD((function(){var t=KH(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=Yz([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 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").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),LZ(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,mD(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 rF([],[0].concat(this.elementShape));var r=this.readMany(e);return LZ(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),CP(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 rF([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return LZ(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),rM(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,I(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,qP(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=[];dD((function(){t=eM(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]=eM(oM(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),VZ=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;s(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));LZ(n,e.shape,"TensorList shape mismatch: "),mD(e)})),this.idTensor=cL(0),this.maxNumElements=a,mD(this.idTensor)}return c(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(I(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."));LZ(e,this.elementShape,"TensorList shape mismatch: ");var a=PZ(this.elementShape,this.tensors,e);return dD((function(){var e=n.tensors.map((function(e){return eM(e,a)}));return CP(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=PZ(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,LZ(r.shape,e,"TensorList shape mismatch: "),eM(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(LZ(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");mD(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."));LZ(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=PZ(this.elementShape,this.tensors,t);return eM(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."));LZ(this.elementShape,t.shape,"TensorList shape mismatch: "),mD(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));LZ(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=PZ(this.elementShape,this.tensors,n);return 0===e.length?rF([],[0].concat(a)):dD((function(){var t=e.map((function(e){return eM(r.tensors[e],a)}));return CP(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));LZ(this.elementShape,t,"TensorList shape mismatch: ");var r=PZ(this.elementShape,this.tensors,t);return 0===this.size()?rF([],[0].concat(r)):dD((function(){var e=n.tensors.map((function(e){return eM(e,r)}));return rM(e,0)}))}}]),e}();function UZ(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));LZ(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=qP(e);return new VZ(a,t,r)}function GZ(e,t,n,r){return new VZ([],e,t,r)}function jZ(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,I(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 VZ([],n,e.dtype,r),o=qP(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function HZ(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=BZ(e.shape.slice(1),n),o=0===r?0:e.size/r,s=dD((function(){var n=[];e=eM(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]=eM(oM(e,u,c),i)}return e.dispose(),n})),u=new VZ([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var qZ=function(){var e=o(r().mark((function e(t,n,a){var i,o,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,C,E,A,R,_,O,F,D,M,L,z,P,B,W,V,U,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,fe,de,ve,me,ge,ye,be,xe,ke,we,Ie,Ne,Se,Te,Ce,Ee,Ae,Re,_e,Oe,Fe,De,Me,Le,ze,Pe,Be,We,Ve,Ue,Ge,je,He,qe,Ke,Xe,Ye,Je,Ze,Qe,$e,et,tt,nt,rt,at,it,ot;return r().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 i=jJ("thenBranch",t,n,a),o=jJ("elseBranch",t,n,a),s=jJ("cond",t,n,a),u=jJ("args",t,n,a),e.next=9,s.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",a.functionMap[i].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap));case 14:return e.abrupt("return",a.functionMap[o].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap));case 15:return c=jJ("body",t,n,a),l=jJ("cond",t,n,a),h=jJ("args",t,n,a),e.next=20,a.functionMap[l].executeFunctionAsync(h,a.tensorArrayMap,a.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=r().mark((function e(){var t,n,i;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=v,e.next=3,a.functionMap[c].executeFunctionAsync(v,a.tensorArrayMap,a.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,a.functionMap[l].executeFunctionAsync(v,a.tensorArrayMap,a.tensorListMap);case 8:return i=e.sent,e.next=11,i[0].data();case 11:d=e.sent,i.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=jJ("pred",t,n,a),e.abrupt("return",[ZJ(g)]);case 35:return y=jJ("pred",t,n,a),(b=jJ("data",t,n,a)).kept||(b=ZJ(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!==HJ(e,n,a)})),!x){e.next=50;break}return k=HJ(x,n,a),e.abrupt("return",[ZJ(k)]);case 50:return e.abrupt("return",void 0);case 51:return w=jJ("frameName",t,n,a),I=jJ("tensor",t,n,a),a.enterFrame(w),e.abrupt("return",[ZJ(I)]);case 55:return N=jJ("tensor",t,n,a),a.exitFrame(),e.abrupt("return",[ZJ(N)]);case 58:return S=jJ("tensor",t,n,a),a.nextIteration(),e.abrupt("return",[ZJ(S)]);case 61:return T=jJ("size",t,n,a),C=jJ("dtype",t,n,a),E=jJ("elementShape",t,n,a),A=jJ("dynamicSize",t,n,a),R=jJ("clearAfterRead",t,n,a),_=jJ("identicalElementShapes",t,n,a),O=jJ("name",t,n,a),F=new WZ(O,C,T,E,_,A,R),a.addTensorArray(F),e.abrupt("return",[F.idTensor,cL(1)]);case 71:return D=jJ("tensorArrayId",t,n,a),M=jJ("index",t,n,a),L=jJ("tensor",t,n,a),(z=a.getTensorArray(D.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=jJ("tensorArrayId",t,n,a),B=jJ("index",t,n,a),W=a.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return V=jJ("tensorArrayId",t,n,a),U=jJ("indices",t,n,a),G=jJ("dtype",t,n,a),j=a.getTensorArray(V.id),e.abrupt("return",[j.gather(U,G)]);case 86:return H=jJ("tensorArrayId",t,n,a),q=jJ("indices",t,n,a),K=jJ("tensor",t,n,a),(X=a.getTensorArray(H.id)).scatter(q,K),e.abrupt("return",[X.idTensor]);case 92:return Y=jJ("tensorArrayId",t,n,a),J=a.getTensorArray(Y.id),Z=jJ("dtype",t,n,a),e.abrupt("return",[J.concat(Z)]);case 96:return Q=jJ("tensorArrayId",t,n,a),$=jJ("tensor",t,n,a),ee=jJ("lengths",t,n,a),(te=a.getTensorArray(Q.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=jJ("tensorArrayId",t,n,a),re=a.getTensorArray(ne.id),e.abrupt("return",[cL(re.size(),"int32")]);case 105:return ae=jJ("tensorArrayId",t,n,a),(ie=a.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=jJ("tensorListId",t,n,a),se=jJ("index",t,n,a),ue=jJ("tensor",t,n,a),(ce=a.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=jJ("tensorListId",t,n,a),he=jJ("index",t,n,a),pe=jJ("elementShape",t,n,a),fe=jJ("elementDType",t,n,a),de=a.getTensorList(le.id),e.abrupt("return",[de.getItem(he,pe,fe)]);case 121:return ve=jJ("indices",t,n,a),me=jJ("tensor",t,n,a),ge=jJ("elementShape",t,n,a),ye=jJ("numElements",t,n,a),be=jZ(me,ve,ge,ye),a.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return xe=jJ("elementShape",t,n,a),ke=jJ("elementDType",t,n,a),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Ie=jJ(we,t,n,a),Ne="TensorListReserve"===t.op?-1:Ie,Se=GZ(xe,ke,0,Ne),a.addTensorList(Se),e.abrupt("return",[Se.idTensor]);case 136:return Te=jJ("tensorListId",t,n,a),Ce=jJ("indices",t,n,a),Ee=jJ("elementShape",t,n,a),Ae=jJ("elementDType",t,n,a),Re=a.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ce,Ae,Ee)]);case 142:return _e=jJ("tensorListId",t,n,a),Oe=jJ("elementShape",t,n,a),Fe=jJ("elementDType",t,n,a),De=jJ("numElements",t,n,a),Me=a.getTensorList(_e.id),e.abrupt("return",[Me.stack(Oe,Fe,De)]);case 148:return Le=jJ("tensor",t,n,a),ze=jJ("elementShape",t,n,a),Pe=jJ("elementDType",t,n,a),Be=UZ(Le,ze,Pe),a.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=jJ("tensorListId",t,n,a),Ve=a.getTensorList(We.id),Ue=jJ("dtype",t,n,a),Ge=jJ("elementShape",t,n,a),e.abrupt("return",[Ve.concat(Ue,Ge)]);case 159:return je=jJ("tensorListId",t,n,a),He=jJ("tensor",t,n,a),(qe=a.getTensorList(je.id)).pushBack(He),e.abrupt("return",[qe.idTensor]);case 164:return Ke=jJ("tensorListId",t,n,a),Xe=jJ("elementShape",t,n,a),Ye=jJ("elementDType",t,n,a),Je=a.getTensorList(Ke.id),e.abrupt("return",[Je.popBack(Xe,Ye)]);case 169:return Ze=jJ("tensor",t,n,a),Qe=jJ("elementShape",t,n,a),$e=jJ("lengths",t,n,a),et=HZ(Ze,$e,Qe),a.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=jJ("tensorListId",t,n,a),nt=a.getTensorList(tt.id),e.abrupt("return",[cL(nt.size(),"int32")]);case 178:return rt=jJ("tensorListId",t,n,a),at=jJ("size",t,n,a),it=a.getTensorList(rt.id),ot=it.resize(at),a.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 KZ(e,t,n){var r=w(jJ("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=jJ("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=jJ("strides",e,t,n),p=JJ(e,t,n),f=jJ("dataFormat",e,t,n).toUpperCase(),d=jJ("dilations",e,t,n),v=w(jJ("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:jJ("leakyreluAlpha",e,t,n)}}var XZ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"Conv1D":var a=jJ("stride",e,t,n),i=jJ("pad",e,t,n),o=jJ("dataFormat",e,t,n).toUpperCase(),s=jJ("dilation",e,t,n);return[r.conv1d(jJ("x",e,t,n),jJ("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=jJ("strides",e,t,n),c=JJ(e,t,n),l=jJ("dataFormat",e,t,n).toUpperCase(),h=jJ("dilations",e,t,n);return[r.conv2d(jJ("x",e,t,n),jJ("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=KZ(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:jJ("x",e,t,n),filter:jJ("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=KZ(e,t,n),w=k.stride,I=k.pad,N=k.dataFormat,S=k.dilations,T=k.biasArg,C=k.preluArg,E=k.activationFunc,A=k.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:jJ("x",e,t,n),filter:jJ("filter",e,t,n),strides:[w[1],w[2]],pad:I,dataFormat:N,dilations:[S[1],S[2]],bias:T,activation:E,preluActivationWeights:C,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=jJ("outputShape",e,t,n),_=jJ("strides",e,t,n),O=JJ(e,t,n);return[r.conv2dTranspose(jJ("x",e,t,n),jJ("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=jJ("strides",e,t,n),D=JJ(e,t,n),M=jJ("dilations",e,t,n),L=jJ("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(jJ("input",e,t,n),jJ("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=jJ("strides",e,t,n),P=jJ("pad",e,t,n),B=jJ("dataFormat",e,t,n).toUpperCase(),W=jJ("dilations",e,t,n);return[r.conv3d(jJ("x",e,t,n),jJ("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=jJ("strides",e,t,n),U=jJ("pad",e,t,n),G=jJ("kernelSize",e,t,n);return[r.avgPool(jJ("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=jJ("strides",e,t,n),H=jJ("pad",e,t,n),q=jJ("kernelSize",e,t,n);return[r.maxPool(jJ("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=jJ("strides",e,t,n),X=jJ("pad",e,t,n),Y=jJ("kernelSize",e,t,n),J=jJ("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(jJ("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=jJ("strides",e,t,n),te=jJ("pad",e,t,n),ne=jJ("kernelSize",e,t,n);return[r.avgPool3d(jJ("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"MaxPool3D":var re=jJ("strides",e,t,n),ae=jJ("pad",e,t,n),ie=jJ("kernelSize",e,t,n);return[r.maxPool3d(jJ("x",e,t,n),[ie[1],ie[2],ie[3]],[re[1],re[2],re[3]],ae)];case"Dilation2D":var oe=jJ("strides",e,t,n),se=jJ("pad",e,t,n),ue=jJ("dilations",e,t,n),ce=oe[1],le=oe[2],he=ue[1],pe=ue[2];return[r.dilation2d(jJ("x",e,t,n),jJ("filter",e,t,n),[ce,le],se,[he,pe],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},YZ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"Fill":var a=jJ("shape",e,t,n),i=jJ("dtype",e,t,n),o=jJ("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=jJ("start",e,t,n),u=jJ("stop",e,t,n),c=jJ("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=jJ("logits",e,t,n),h=jJ("numSamples",e,t,n),p=jJ("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var f=jJ("indices",e,t,n),d=jJ("depth",e,t,n),v=jJ("onValue",e,t,n),m=jJ("offValue",e,t,n),g=jJ("dtype",e,t,n);return[r.oneHot(f,d,v,m,g)];case"Ones":return[r.ones(jJ("shape",e,t,n),jJ("dtype",e,t,n))];case"OnesLike":return[r.onesLike(jJ("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(jJ("shape",e,t,n),jJ("dtype",e,t,n),jJ("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(jJ("shape",e,t,n),jJ("minval",e,t,n),jJ("maxval",e,t,n),jJ("dtype",e,t,n))];case"Range":var y=jJ("start",e,t,n),b=jJ("stop",e,t,n),x=jJ("step",e,t,n);return[r.range(y,b,x,jJ("dtype",e,t,n))];case"TruncatedNormal":var k=jJ("shape",e,t,n),w=jJ("mean",e,t,n),I=jJ("stdDev",e,t,n),N=jJ("seed",e,t,n);return[r.truncatedNormal(k,w,I,jJ("dtype",e,t,n),N)];case"Zeros":return[r.zeros(jJ("shape",e,t,n),jJ("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(jJ("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function JZ(e,t,n){return{boxes:jJ("boxes",e,t,n),scores:jJ("scores",e,t,n),maxOutputSize:jJ("maxOutputSize",e,t,n),iouThreshold:jJ("iouThreshold",e,t,n),scoreThreshold:jJ("scoreThreshold",e,t,n),softNmsSigma:jJ("softNmsSigma",e,t,n)}}var ZZ=function(){var e=o(r().mark((function e(t,n,a,i){var o,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,C,E,A,R,_=arguments;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:o=_.length>4&&void 0!==_[4]?_[4]:FZ,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=JZ(t,n,a),u=s.boxes,c=s.scores,l=s.maxOutputSize,h=s.iouThreshold,p=s.scoreThreshold,f=s.softNmsSigma,e.next=7,o.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=JZ(t,n,a),m=v.boxes,g=v.scores,y=v.maxOutputSize,b=v.iouThreshold,x=v.scoreThreshold,k=jJ("padToMaxOutputSize",t,n,a),e.next=13,o.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=JZ(t,n,a),N=I.boxes,S=I.scores,T=I.maxOutputSize,C=I.iouThreshold,E=I.scoreThreshold,e.next=18,o.image.nonMaxSuppressionAsync(N,S,T,C,E);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return A=o.cast(jJ("condition",t,n,a),"bool"),e.next=23,o.whereAsync(A);case 23:return e.t2=e.sent,R=[e.t2],A.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",o.setdiff1dAsync(jJ("x",t,n,a),jJ("y",t,n,a)));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)}}(),QZ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"LowerBound":var a=jJ("sortedSequence",e,t,n),i=jJ("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=jJ("x",e,t,n),s=jJ("k",e,t,n),u=jJ("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=jJ("sortedSequence",e,t,n),h=jJ("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=jJ("x",e,t,n),f=r.unique(p);return[f.values,f.indices];case"UniqueV2":var d=jJ("x",e,t,n),v=jJ("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"))}},$Z=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=jJ("default",e,t,n);return[HJ(e.name,t,n)||a];case"Placeholder":return[HJ(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":var i=jJ("x",e,t,n);return[ZJ(i)];case"IdentityN":return jJ("x",e,t,n).map((function(e){return ZJ(e)}));case"Snapshot":var o=jJ("x",e,t,n);return[ZJ(o)];case"Shape":return[r.tensor1d(jJ("x",e,t,n).shape,"int32")];case"ShapeN":return jJ("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(jJ("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(jJ("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var s=jJ("x",e,t,n),u=jJ("data",e,t,n),c=jJ("message",e,t,n),l=jJ("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"))}},eQ=function(){function e(t,n){s(this,e),this.keyDType=t,this.valueDType=n,this.handle=cL(0),this.tensorMap=new Map,mD(this.handle)}var t,n;return c(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 cL(this.size(),"int32")}},{key:"import",value:(n=o(r().mark((function e(t,n){var a,i=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return a=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",dD((function(){var e=qP(n),t=a.length,r=e.length;QT(t===r,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(r," ")+"elements."}));for(var o=0;o<t;o++){var s=a[o],u=e[o];mD(u),i.tensorMap.set(s,u)}return i.handle})));case 7:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"find",value:(t=o(r().mark((function e(t,n){var a,i=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return a=e.sent,e.abrupt("return",dD((function(){for(var e=[],t=0;t<a.length;t++){var r=a[t],o=i.findWithDefault(r,n);e.push(o)}return CP(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}(),tQ=function(){var e=o(r().mark((function e(t,n,a,i){var o,s,u,c,l,h,p,f,d,v,m,g,y,b;return r().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==(o=i.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[o]);case 8:return s=jJ("keyDType",t,n,a),u=jJ("valueDType",t,n,a),c=new eQ(s,u),i.addHashTable(t.name,c),e.abrupt("return",[c.handle]);case 13:return l=jJ("tableHandle",t,n,a,i),h=jJ("keys",t,n,a),p=jJ("values",t,n,a),f=i.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=jJ("tableHandle",t,n,a,i),v=jJ("keys",t,n,a),m=jJ("defaultValue",t,n,a),g=i.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=jJ("tableHandle",t,n,a,i),b=i.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)}}(),nQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"ResizeBilinear":var a=jJ("images",e,t,n),i=jJ("size",e,t,n),o=jJ("alignCorners",e,t,n),s=jJ("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=jJ("images",e,t,n),c=jJ("size",e,t,n),l=jJ("alignCorners",e,t,n),h=jJ("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=jJ("image",e,t,n),f=jJ("boxes",e,t,n),d=jJ("boxInd",e,t,n),v=jJ("cropSize",e,t,n),m=jJ("method",e,t,n),g=jJ("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,f,d,v,m,g)];case"ImageProjectiveTransformV3":var y=jJ("images",e,t,n),b=jJ("transforms",e,t,n),x=jJ("outputShape",e,t,n),k=jJ("fillValue",e,t,n),w=jJ("interpolation",e,t,n),I=jJ("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"))}},rQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"Equal":return[r.equal(jJ("a",e,t,n),jJ("b",e,t,n))];case"NotEqual":return[r.notEqual(jJ("a",e,t,n),jJ("b",e,t,n))];case"Greater":return[r.greater(jJ("a",e,t,n),jJ("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(jJ("a",e,t,n),jJ("b",e,t,n))];case"Less":return[r.less(jJ("a",e,t,n),jJ("b",e,t,n))];case"LessEqual":return[r.lessEqual(jJ("a",e,t,n),jJ("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(jJ("a",e,t,n),jJ("b",e,t,n))];case"LogicalNot":return[r.logicalNot(jJ("a",e,t,n))];case"LogicalOr":return[r.logicalOr(jJ("a",e,t,n),jJ("b",e,t,n))];case"Select":case"SelectV2":return[r.where(jJ("condition",e,t,n),jJ("a",e,t,n),jJ("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},aQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(jJ("a",e,t,n),jJ("b",e,t,n),jJ("transposeA",e,t,n),jJ("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[jJ("equation",e,t,n)].concat(I(jJ("tensors",e,t,n))))];case"Transpose":return[r.transpose(jJ("x",e,t,n),jJ("perm",e,t,n))];case"_FusedMatMul":var a=jJ("fusedOps",e,t,n),i=w(a,2),o=i[0],s=i[1],u="biasadd"===o,c="prelu"===s,l=jJ("numArgs",e,t,n),h=jJ("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=jJ("args",e,t,n),f=w(p,2),d=f[0],v=f[1];return[r.fused.matMul({a:jJ("a",e,t,n),b:jJ("b",e,t,n),transposeA:jJ("transposeA",e,t,n),transposeB:jJ("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:v,leakyreluAlpha:h})];case"MatrixBandPart":return[r.linalg.bandPart(jJ("a",e,t,n),jJ("numLower",e,t,n),jJ("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},iQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm(jJ("x",e,t,n),jJ("axis",e,t,n),jJ("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(jJ("x",e,t,n),jJ("mean",e,t,n),jJ("variance",e,t,n),jJ("offset",e,t,n),jJ("scale",e,t,n),jJ("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(jJ("x",e,t,n),jJ("radius",e,t,n),jJ("bias",e,t,n),jJ("alpha",e,t,n),jJ("beta",e,t,n))];case"Softmax":return[r.softmax(jJ("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(jJ("x",e,t,n))];case"SparseToDense":return[r.sparseToDense(jJ("sparseIndices",e,t,n),jJ("outputShape",e,t,n),jJ("sparseValues",e,t,n),jJ("defaultValue",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},oQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"RaggedGather":var a=r.raggedGather(jJ("paramsNestedSplits",e,t,n),jJ("paramsDenseValues",e,t,n),jJ("indices",e,t,n),jJ("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(jJ("starts",e,t,n),jJ("limits",e,t,n),jJ("splits",e,t,n)),u=s.rtNestedSplits,c=s.rtDenseValues;return[u,c];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(jJ("shape",e,t,n),jJ("values",e,t,n),jJ("defaultValue",e,t,n),jJ("rowPartitionTensors",e,t,n),jJ("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},sQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"Max":var a=jJ("axis",e,t,n),i=jJ("keepDims",e,t,n);return[r.max(jJ("x",e,t,n),a,i)];case"Mean":var o=jJ("axis",e,t,n),s=jJ("keepDims",e,t,n);return[r.mean(jJ("x",e,t,n),o,s)];case"Min":var u=jJ("axis",e,t,n),c=jJ("keepDims",e,t,n);return[r.min(jJ("x",e,t,n),u,c)];case"Sum":var l=jJ("axis",e,t,n),h=jJ("keepDims",e,t,n);return[r.sum(jJ("x",e,t,n),l,h)];case"All":var p=jJ("axis",e,t,n),f=jJ("keepDims",e,t,n);return[r.all(jJ("x",e,t,n),p,f)];case"Any":var d=jJ("axis",e,t,n),v=jJ("keepDims",e,t,n);return[r.any(jJ("x",e,t,n),d,v)];case"ArgMax":var m=jJ("axis",e,t,n);return[r.argMax(jJ("x",e,t,n),m)];case"ArgMin":var g=jJ("axis",e,t,n);return[r.argMin(jJ("x",e,t,n),g)];case"Prod":var y=jJ("axis",e,t,n),b=jJ("keepDims",e,t,n);return[r.prod(jJ("x",e,t,n),y,b)];case"Cumprod":var x=jJ("axis",e,t,n),k=jJ("exclusive",e,t,n),w=jJ("reverse",e,t,n);return[r.cumprod(jJ("x",e,t,n),x,k,w)];case"Cumsum":var I=jJ("axis",e,t,n),N=jJ("exclusive",e,t,n),S=jJ("reverse",e,t,n);return[r.cumsum(jJ("x",e,t,n),I,N,S)];case"Bincount":var T=jJ("x",e,t,n),C=jJ("weights",e,t,n),E=jJ("size",e,t,n);return[r.bincount(T,C,E)];case"DenseBincount":var A=jJ("x",e,t,n),R=jJ("weights",e,t,n),_=jJ("size",e,t,n),O=jJ("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},uQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"ConcatV2":case"Concat":var a=jJ("n",e,t,n),i=jJ("axis",e,t,n),o=jJ("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=jJ("x",e,t,n),u=jJ("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=jJ("axis",e,t,n),l=jJ("batchDims",e,t,n),h=jJ("x",e,t,n),p=jJ("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var f=jJ("dims",e,t,n),d=[],v=0;v<f.length;v++)f[v]&&d.push(v);var m=jJ("x",e,t,n);return[r.reverse(m,d)];case"ReverseV2":var g=jJ("axis",e,t,n),y=jJ("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=jJ("begin",e,t,n),x=jJ("size",e,t,n);return[r.slice(jJ("x",e,t,n),b,x)];case"StridedSlice":var k=jJ("begin",e,t,n),w=jJ("end",e,t,n),I=jJ("strides",e,t,n),N=jJ("beginMask",e,t,n),S=jJ("endMask",e,t,n),T=jJ("ellipsisMask",e,t,n),C=jJ("newAxisMask",e,t,n),E=jJ("shrinkAxisMask",e,t,n),A=jJ("x",e,t,n);return[r.stridedSlice(A,k,w,I,N,S,T,C,E)];case"Pack":return dD((function(){var a=jJ("axis",e,t,n),i=jJ("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=nC(e.shape,o);if(!t&&!nC(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=jJ("axis",e,t,n),_=jJ("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=jJ("reps",e,t,n);return[r.tile(jJ("x",e,t,n),O)];case"Split":case"SplitV":var F=jJ("axis",e,t,n),D=jJ("numOrSizeSplits",e,t,n),M=jJ("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=jJ("indices",e,t,n),z=jJ("values",e,t,n),P=jJ("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=jJ("x",e,t,n),W=jJ("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=jJ("sparseIndices",e,t,n),U=jJ("outputShape",e,t,n),G=jJ("sparseValues",e,t,n),j=jJ("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=jJ("indices",e,t,n),q=jJ("values",e,t,n),K=jJ("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},cQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(jJ("indices",e,t,n),jJ("values",e,t,n),jJ("denseShape",e,t,n),jJ("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(jJ("inputIndices",e,t,n),jJ("inputShape",e,t,n),jJ("newShape",e,t,n)),l=c.outputIndices,h=c.outputShape;return[l,h];case"SparseSegmentMean":var p=r.sparse.sparseSegmentMean(jJ("data",e,t,n),jJ("indices",e,t,n),jJ("segmentIds",e,t,n));return[p];case"SparseSegmentSum":var f=r.sparse.sparseSegmentSum(jJ("data",e,t,n),jJ("indices",e,t,n),jJ("segmentIds",e,t,n));return[f];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},lQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"FFT":return[r.fft(jJ("x",e,t,n))];case"IFFT":return[r.ifft(jJ("x",e,t,n))];case"RFFT":return[r.rfft(jJ("x",e,t,n))];case"IRFFT":return[r.irfft(jJ("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},hQ=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:FZ;switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(jJ("input",e,t,n),jJ("pattern",e,t,n),jJ("rewrite",e,t,n),jJ("replaceGlobal",e,t,n))];case"StringNGrams":var 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i=jJ("axis",e,t,n);return[r.squeeze(jJ("x",e,t,n),i)];case"Reshape":return[r.reshape(jJ("x",e,t,n),jJ("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(jJ("x",e,t,n),jJ("padding",e,t,n),jJ("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(jJ("x",e,t,n),jJ("padding",e,t,n),jJ("constantValue",e,t,n))];case"SpaceToBatchND":var o=jJ("blockShape",e,t,n),s=jJ("paddings",e,t,n);return[r.spaceToBatchND(jJ("x",e,t,n),o,s)];case"BatchToSpaceND":var u=jJ("blockShape",e,t,n),c=jJ("crops",e,t,n);return[r.batchToSpaceND(jJ("x",e,t,n),u,c)];case"DepthToSpace":var l=jJ("blockSize",e,t,n),h=jJ("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(jJ("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo(jJ("x",e,t,n),jJ("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(jJ("s0",e,t,n),jJ("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function fQ(e,t,n,r){var a=arguments.length>4&&void 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u,c=s([].concat(I(a),I(e.weights),I(i))).filter(o),l=s([].concat(I(c),I(Object.values(e.nodes)))).filter(o),h=new Map(l.map((function(e){return[e.name,e]}))),p={},f=A(l);try{for(f.s();!(u=f.n()).done;){var d=u.value;p[d.name]=p[d.name]||0;var v,m=A(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===w(e,2)[1]})).map((function(e){return w(e,1)[0]})),b=I(y);y.length>0;){var x,k=y.pop(),N=A(h.get(k).children.filter(o));try{for(N.s();!(x=N.n()).done;){var S=x.value;0==--p[S.name]&&(b.push(S.name),y.push(S.name))}}catch(e){N.e(e)}finally{N.f()}}var T=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=A(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=A(e);try{for(u.s();!(n=u.n()).done;){var c,l=n.value,h=A(l.children.filter(s));try{for(h.s();!(c=h.n()).done;){var p=c.value;if(!r.has(p.name))throw new gQ("Child ".concat(p.name," of node ").concat(l.name," is unreachable."));if(r.get(l.name)>r.get(p.name))throw new gQ("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=A(l.inputs);try{for(d.s();!(f=d.n()).done;){var v=f.value;if(!r.has(v.name))throw new gQ("Input 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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,a,i;return c(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,I(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=vQ(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=mQ(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 kQ(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 mD(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=w(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[YJ(e)[0]]})),i=t.map((function(e){return YJ(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=BC().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},h={};return dD((function(){var r=new dQ(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=w(YJ(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=A(p);try{for(d.s();!(i=d.n()).done;){var v=i.value;if(!a[v.name]){var m=fQ(v,a,r,n._resourceManager);if(FC(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 HJ(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(!kQ(t)&&!i.has(e)){var s,u=A(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=A(t.inputs);try{for(h.s();!(l=h.n()).done;){var p=l.value;if(!kQ(p)){var f=qJ(p.name,n,r);if(null!=f){var d,v=A(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 kQ(e)||a.has(e.name)}if(!kQ(e)&&null!=i){var s,u=A(i);try{for(u.s();!(s=u.n()).done;){var c=s.value;if(!o(c)){var l,h=A(qJ(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:(i=o(r().mark((function e(t,n){return r().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 i.apply(this,arguments)})},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n=A(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:(a=o(r().mark((function e(t,n){var a,i,o,s,u,c,l,h,p,f=arguments;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:a=f.length>2&&void 0!==f[2]&&f[2],i=f.length>3&&void 0!==f[3]?f[3]:{},o=f.length>4&&void 0!==f[4]?f[4]:{},this.disposeIntermediateTensors(),a||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=BC().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new dQ(this.weightMap,i,o,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,s,n,a);case 10:return u=e.sent,c=n.map((function(e){return HJ(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(I(l),I(h),I(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 a.apply(this,arguments)})},{key:"executeFunctionAsync",value:(n=o(r().mark((function e(t,n,a){var i,o=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return i=t.reduce((function(e,t,n){return e[o.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(i,this.outputNodes,!0,n,a));case 2:case"end":return e.stop()}}),e,this)}))),function(e,t,r){return n.apply(this,arguments)})},{key:"executeWithControlFlow",value:(t=o(r().mark((function e(t,n,a,i){var o,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,N,S,T=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:o=Object.keys(t),s=o.map((function(e){return T.graph.nodes[YJ(e)[0]]})),u=a.map((function(e){return YJ(e)[0]})),c=new Set(u),0===(l=u.map((function(e){return T.graph.nodes[e]}))).length&&(l=this._outputs),h=vQ(t,l,this.weightMap,this._initNodes),p=h.usedNodes,f=h.missingInputs,d=h.dynamicNode,v=h.syncInputs,m=[].concat(I(s),I(this.graph.weights),I(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),g=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=w(YJ(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||i||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),N=l.filter((function(e){return!kQ(e)&&!HJ(e.name,g,n)})).map((function(e){return e.name})),!(N.length>0)){e.next=25;break}throw S="",null!=d&&(S="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(v,"]")),new Error("Cannot compute the outputs [".concat(N,"] from the provided ")+"inputs [".concat(o,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(S));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&&jJ("isConstant",e.node,r,n)){var p=w(KJ(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var f=fQ(e.node,r,n,c._resourceManager);if(!h){var d=w(KJ(e.node.name,n),1);h=d[0]}var v=n.currentContext;FC(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=w(KJ(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!HJ(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!HJ(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=w(YJ(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}));QT(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&&QT(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=w(YJ(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=w(YJ(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),SQ=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};s(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return c(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}(),TQ=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]:cV;s(this,e),this.modelUrl=t,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new SQ}var t,n,a,i;return c(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 FC(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 NQ(gZ.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=gZ.Instance.transformGraph(e.modelInitializer);this.initializer=new NQ(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:(i=o(r().mark((function e(t,n){var a;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof 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Math.log(e)})),Y0=f0(pA,X0),J0={kernelName:pA,backendName:"cpu",kernelFunc:Y0};function Z0(e,t,n,r){for(var a=lC(r,tC(n)),i=0;i<a.length;++i){for(var o=i*t,s=e[o],u=0;u<t;++u){var c=e[o+u];(Number.isNaN(c)||c>s)&&(s=c)}a[i]=s}return a}var Q0=q$((function(e,t){return Math.max(e,t)})),$0=r0(kA,Q0),e1={kernelName:kA,backendName:"cpu",kernelFunc:$0},t1=q$((function(e,t){return Math.min(e,t)})),n1=r0(AA,t1),r1={kernelName:AA,backendName:"cpu",kernelFunc:n1},a1=q$((function(e,t){return e*t})),i1=a0((function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}})),o1=r0(FA,a1,i1),s1={kernelName:FA,backendName:"cpu",kernelFunc:o1};function u1(e,t,n){var r=J_(-1,n);return a1([],t,r,e,n)}var c1={kernelName:DA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x;V$(r,"neg");var a=w(u1(n.data.get(r.dataId).values,r.shape,r.dtype),2),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},l1=q$((function(e,t){return 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s=a.shape.length,u=uC(i,a.shape),c=rL(u,s),l=u,h=a,p=[];null!=c&&(h=d1({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=iL(l.length,s));var f=n.data.get(h.dataId).values,d=m1(h.shape,h.dtype,f,l),v=d.outVals,m=d.outShape,g=d.outDtype,y=m;return o&&(y=tL(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function y1(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 in ascending order")}}(n,r);for(var u=1,c=0;c<t.length-1;++c){u*=t[c];for(var l=t[c+1],h=1;h<u+1;++h)s[c].push(h*l)}for(var p=0;p<e.length;++p){for(var f=e[p],d=e[p]+1,v=0;v<n.length;++v){var m=n[v],g=v+t.length-1;if(g>=0)for(var y=s[g],b=y[y.length-1]-m[f],x=f;x<d;++x)s[g].push(m[x+1]+b);f=m[f],d=m[d]}d!==f&&(a.push([f,d]),i+=d-f)}return{outSplits:s,valueSlices:a,numValues:i}}function b1(e,t){for(var n=e.slice(0,t);n.length<t;)n.push(1);for(var r=t;r<e.length;r++)n[t-1]*=e[r];return n}function x1(e,t,n,r,a){var i=t.slice();i[0]=a;var o=hC(n,tC(i)),s=e.length;return function(e,t,n,r,a,i){var o,s=b1(t,2)[1],u=b1(i,2)[1],c=0,l=A(n);try{for(l.s();!(o=l.n()).done;)for(var h=o.value,p=h[0];p<h[1];++p){for(var f=0;f<r;++f)a[c*u+f]=e[p*s+f];++c}}catch(e){l.e(e)}finally{l.f()}}(e,t,r,0===s?0:s/t[0],o,i),[o,i]}function k1(e,t,n,r,a,i,o,s){if(0===e.length)throw new Error("paramsNestedSplits must be non empty");if(0===t[0].length)throw new Error("Split tensors must not be scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=OC(r,t.length,IC(t)).join(",");throw new Error("indices[".concat(a,"] = 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this.rowPartitionTypes[0]===N1.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 N1.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case N1.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(N1[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 C1(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;KV(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=jV(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 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this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(N1[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=C1(t,!1),i=hC(this.valuesDType,tC(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=tC(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;dD((function(){var e=eM(c,l),t=mM(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);T1(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 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i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var R1=h0((function(e){return 1/Math.sqrt(e)})),_1=f0(sR,R1),O1={kernelName:sR,backendName:"cpu",kernelFunc:_1};function F1(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 sD(n,t.dtype);var f=u instanceof dO?u:sD(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 D1=h0((function(e){return 1/(1+Math.exp(-e))})),M1=p0(gR,(function(e){return 1/(1+Math.exp(-e))})),L1={kernelName:gR,backendName:"cpu",kernelFunc:M1};function z1(e,t,n,r,a){var i=RV(r,t,n),o=tC(n),s=IC(r);if(i){var u=_V(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var 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h=QD(u),p=WD(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 dO(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 dO(a.shape,a.dtype,k),N=new dO(i.shape,i.dtype,w),S=0;S<v;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),C=Math.min(p.outHeight,(p.inHeight+x-S)/f),E=0;E<m;++E)for(var A=Math.max(0,Math.ceil((b-E)/d)),R=Math.min(p.outWidth,(p.inWidth+b-E)/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<C;++M)for(var L=S+M*f-x,z=A;z<R;++z){var P=E+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,E,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var b3={kernelName:bE,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;V$([a,i],"conv2dBackpropInput");var h=IC(i.shape),p=IC(a.shape),f=QD(c),d=WD(o,i.shape,s,1,u,l,!1,f),v=new dO(d.inShape,"float32"),m=v.values,g=n.data.get(a.dataId).values,y=n.data.get(i.dataId).values,b=w(h,3),x=b[0],k=b[1],I=b[2],N=d.batchSize,S=d.filterHeight,T=d.filterWidth,C=d.inChannels,E=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=S-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<N;++q)for(var K=0;K<C;++K)for(var X=0;X<E;++X)for(var Y=X-M,J=Math.max(0,Math.ceil(Y/F)),Z=Math.min(_,(S+Y)/F),Q=0;Q<A;++Q){for(var $=Q-L,ee=Math.max(0,Math.ceil($/D)),te=Math.min(O,(T+$)/D),ne=0,re=J;re<Z;++re)for(var ae=re*F-Y,ie=ee;ie<te;++ie)for(var 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V=D+B*S[1],U=M+W*N[2],G=0;G<c.outWidth;++G)for(var j=z+G*c.outChannels,H=G*c.strideWidth-y,q=0;q<p;++q){var K=H+q*v;if(!(K<0||K>=c.inWidth))for(var X=V+q*S[2],Y=U+K*c.inChannels,J=X,Z=0;Z<c.inChannels;++Z){for(var Q=k[Y+Z],$=0;$<c.outChannels;++$)I[j+$]+=Q*w[J+$];J+=c.outChannels}}}}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var k3={kernelName:kE,backendName:"cpu",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;V$([a,i],"conv3dBackpropFilterV2");for(var c=IC(a.shape),l=IC(i.shape),h=VD(a.shape,u,o,1,s),p=h.strideDepth,f=h.strideHeight,d=h.strideWidth,v=h.filterDepth,m=h.filterHeight,g=h.filterWidth,y=new dO(h.filterShape,"float32"),b=y.values,x=w(y.strides,4),k=x[0],I=x[1],N=x[2],S=x[3],T=n.data.get(i.dataId).values,C=w(l,4),E=C[0],A=C[1],R=C[2],_=C[3],O=n.data.get(a.dataId).values,F=w(c,4),D=F[0],M=F[1],L=F[2],z=F[3],P=h.padInfo.front,B=h.padInfo.left,W=h.padInfo.top,V=0;V<v;++V)for(var U=Math.max(0,Math.ceil((P-V)/p)),G=Math.min(h.outDepth,(h.inDepth+P-V)/p),j=V*k,H=0;H<m;++H)for(var q=Math.max(0,Math.ceil((W-H)/f)),K=Math.min(h.outHeight,(h.inHeight+W-H)/f),X=H*I+j,Y=0;Y<g;++Y)for(var J=Math.max(0,Math.ceil((B-Y)/d)),Z=Math.min(h.outWidth,(h.inWidth+B-Y)/d),Q=Y*N+X,$=0;$<h.inChannels;++$)for(var ee=$*S+Q,te=0;te<h.outChannels;++te){for(var ne=0,re=0;re<h.batchSize;++re)for(var ae=re*D,ie=re*E,oe=U;oe<G;++oe)for(var se=(V+oe*p-P)*M+ae,ue=oe*A+ie,ce=q;ce<K;++ce)for(var le=(H+ce*f-W)*L+se,he=ce*R+ue,pe=J;pe<Z;++pe){var fe=pe*_+he;ne+=O[(Y+pe*d-B)*z+le+$]*T[fe+te]}b[ee+te]=ne}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var w3={kernelName:wE,backendName:"cpu",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=r.inputShape;V$([a],"conv3dBackpropInputV2");for(var c=IC(a.shape),l=IC(i.shape),h=VD(u,i.shape,s,1,o),p=new dO(h.inShape,"float32"),f=p.values,d=w(p.strides,4),v=d[0],m=d[1],g=d[2],y=d[3],b=n.data.get(a.dataId).values,x=w(c,4),k=x[0],I=x[1],N=x[2],S=x[3],T=n.data.get(i.dataId).values,C=w(l,4),E=C[0],A=C[1],R=C[2],_=C[3],O=h.batchSize,F=h.filterDepth,D=h.filterHeight,M=h.filterWidth,L=h.inChannels,z=h.inDepth,P=h.inHeight,B=h.inWidth,W=h.outChannels,V=h.outDepth,U=h.outHeight,G=h.outWidth,j=h.strideDepth,H=h.strideHeight,q=h.strideWidth,K=F-1-h.padInfo.front,X=D-1-h.padInfo.top,Y=M-1-h.padInfo.left,J=0;J<O;++J)for(var Z=0;Z<L;++Z)for(var Q=0;Q<z;++Q)for(var $=Q-K,ee=Math.max(0,Math.ceil($/j)),te=Math.min(V,(F+$)/j),ne=0;ne<P;++ne)for(var re=ne-X,ae=Math.max(0,Math.ceil(re/H)),ie=Math.min(U,(D+re)/H),oe=0;oe<B;++oe){for(var se=oe-Y,ue=Math.max(0,Math.ceil(se/q)),ce=Math.min(G,(M+se)/q),le=0,he=ee;he<te;++he)for(var pe=he*j-$,fe=ae;fe<ie;++fe)for(var de=fe*H-re,ve=ue;ve<ce;++ve)for(var me=k*J+I*he+N*fe+S*ve,ge=E*(F-1-pe)+A*(D-1-de)+R*(M-1-(ve*q-se))+_*Z,ye=0;ye<W;++ye){le+=b[me+ye]*T[ge+ye]}f[v*J+m*Q+g*ne+y*oe+Z]=le}return n.makeTensorInfo(p.shape,p.dtype,p.values)}},I3=p0(IE,(function(e){return Math.cos(e)})),N3={kernelName:IE,backendName:"cpu",kernelFunc:I3},S3=p0(NE,(function(e){return Math.cosh(e)})),T3={kernelName:NE,backendName:"cpu",kernelFunc:S3};var C3={kernelName:CE,backendName:"cpu",kernelFunc:function(e){for(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=w(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=i.shape[0],m=w(s,2),g=m[0],y=m[1],b=sD([v,g,y,d],"float32"),x=n.data.get(i.dataId).values,k=n.data.get(o.dataId).values,I=n.data.get(a.dataId).values,N=IC(a.shape),S=IC(b.shape),T=0;T<v;T++){var C=4*T,E=x[C],A=x[C+1],R=x[C+2],_=x[C+3],O=k[T];if(!(O>=h))for(var F=g>1?(R-E)*(p-1)/(g-1):0,D=y>1?(_-A)*(f-1)/(y-1):0,M=0;M<g;M++){var L=g>1?E*(p-1)+M*F:.5*(E+R)*(p-1);if(L<0||L>p-1)for(var z=0;z<y;z++)for(var P=0;P<d;P++){var B=P+z*S[2]+M*S[1]+T*S[0];b.values[B]=c}else if("bilinear"===u)for(var W=Math.floor(L),V=Math.ceil(L),U=L-W,G=0;G<y;G++){var j=y>1?A*(f-1)+G*D:.5*(A+_)*(f-1);if(j<0||j>f-1)for(var H=0;H<d;H++){var q=H+G*S[2]+M*S[1]+T*S[0];b.values[q]=c}else for(var K=Math.floor(j),X=Math.ceil(j),Y=j-K,J=0;J<d;J++){var Z=J+K*N[2]+W*N[1]+O*N[0],Q=I[Z],$=I[Z=J+X*N[2]+W*N[1]+O*N[0]],ee=I[Z=J+K*N[2]+V*N[1]+O*N[0]],te=Q+($-Q)*Y,ne=ee+(I[Z=J+X*N[2]+V*N[1]+O*N[0]]-ee)*Y;Z=J+G*S[2]+M*S[1]+T*S[0],b.values[Z]=te+(ne-te)*U}}else for(var re=0;re<y;++re){var ae=y>1?A*(f-1)+re*D:.5*(A+_)*(f-1);if(ae<0||ae>f-1)for(var ie=0;ie<d;ie++){var oe=ie+re*S[2]+M*S[1]+T*S[0];b.values[oe]=c}else for(var se=Math.round(ae),ue=Math.round(L),ce=0;ce<d;ce++){var le=ce+se*N[2]+ue*N[1]+O*N[0],he=ce+re*S[2]+M*S[1]+T*S[0];b.values[he]=I[le]}}}}return n.makeTensorInfo(b.shape,b.dtype,b.values)}};var E3={kernelName:SE,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;V$(a,"cumprod");var u=rL([i],a.shape.length),c=a;null!=u&&(c=d1({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=iL(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=TO(c.dtype,"int32"),p=CC(tC(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?1:f[y];else{var b=v(m,g-1);p[y]=o?f[b]*p[b]:f[y]*p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=d1({inputs:{x:x},backend:n,attrs:{perm:aL(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var A3={kernelName:TE,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;V$(a,"cumsum");var u=rL([i],a.shape.length),c=a;null!=u&&(c=d1({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=iL(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=TO(c.dtype,"int32"),p=EC(tC(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=d1({inputs:{x:x},backend:n,attrs:{perm:aL(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var R3={kernelName:EE,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=c0(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=l0(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 _3={kernelName:AE,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;QT("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got ".concat(o)}));for(var s=a.shape[0],u=a.shape[1],c=a.shape[2],l=a.shape[3],h=u*i,p=c*i,f=l/(i*i),d=n.data.get(a.dataId).values,v=new Float32Array(s*h*p*f),m=0,g=0;g<s;++g)for(var y=0;y<h;++y)for(var b=Math.floor(y/i),x=y%i,k=0;k<p;++k)for(var w=Math.floor(k/i),I=(x*i+k%i)*f,N=0;N<f;++N){var S=N+I+l*(w+c*(b+u*g));v[m++]=d[S]}return n.makeTensorInfo([s,h,p,f],a.dtype,v)}};function O3(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=r.dimRoundingMode;V$([a,i],"depthwiseConv2DNative");var l=IC(a.shape),h=IC(i.shape),p=u;null==p&&(p=[1,1]),QT(JD(o,p),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;V$([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=WD(a.shape,l,o,s,u,c,!0),p=h.strideHeight,f=h.strideWidth,d=h.filterHeight,v=h.filterWidth,m=new dO(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 dO(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,I=new dO(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),C=0;C<v;++C)for(var E=Math.max(0,Math.ceil((g-C)/f)),A=Math.min(h.outWidth,(h.inWidth+g-C)/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=E;z<A;++z){var P=C+z*f-g;F+=k.get(D,L,P,_)*I.get(D,M,z,R)}m.set(F,N,C,_,O)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var M3={kernelName:OE,backendName:"cpu",kernelFunc:function(e){var 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n=sD(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,v=0;v<t.batchSize;++v)for(var m=0;m<t.inChannels;++m)for(var g=0;g<t.outDepth;++g){for(var y=g*r-p,b=y;b<0;)b+=o;for(var x=Math.min(t.inDepth,c+y),k=0;k<t.outHeight;++k){for(var w=k*a-f,I=w;I<0;)I+=s;for(var N=Math.min(t.inHeight,l+w),S=0;S<t.outWidth;++S){for(var T=S*i-d,C=T;C<0;)C+=u;for(var E=Math.min(t.inWidth,h+T),A=Number.NEGATIVE_INFINITY,R=-1,_=b;_<x;_+=o)for(var O=_-y,F=I;F<N;F+=s)for(var D=F-w,M=C;M<E;M+=u){var L=M-T,z=e.get(v,_,F,M,m);z>=A&&(A=z,R=O*l*h+D*l+L)}n.set(R,v,g,k,S,m)}}}return n}(n.bufferSync(i),l),p=l.strideDepth,f=l.strideHeight,d=l.strideWidth,v=l.dilationDepth,m=l.dilationHeight,g=l.dilationWidth,y=l.effectiveFilterDepth,b=l.effectiveFilterHeight,x=l.effectiveFilterWidth,k=y-1-l.padInfo.front,w=x-1-l.padInfo.left,I=b-1-l.padInfo.top,N=sD(i.shape,"float32"),S=n.bufferSync(a),T=0;T<l.batchSize;++T)for(var C=0;C<l.inChannels;++C)for(var E=0;E<l.inDepth;++E)for(var A=0;A<l.inHeight;++A)for(var R=0;R<l.inWidth;++R){for(var _=E-k,O=A-I,F=R-w,D=0,M=0;M<y;M+=v){var L=(_+M)/p;if(!(L<0||L>=l.outDepth||Math.floor(L)!==L))for(var z=0;z<b;z+=m){var P=(O+z)/f;if(!(P<0||P>=l.outHeight||Math.floor(P)!==P))for(var B=0;B<x;B+=g){var W=(F+B)/d;if(!(W<0||W>=l.outWidth||Math.floor(W)!==W)){var V=y*b*x-1-h.get(T,L,P,W,C)===M*b*x+z*x+B?1:0;if(0!==V)D+=S.get(T,L,P,W,C)*V}}}}N.set(D,T,E,A,R,C)}return n.makeTensorInfo(N.shape,N.dtype,N.values)}};var F4={kernelName:IA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;V$([i,t.output],"maxPoolGrad");for(var s=r.filterSize,u=r.strides,c=r.pad,l=r.dimRoundingMode,h=PD(o.shape,s,u,1,c,l),p=n.data.get(o.dataId).values,f=sD(h.outShape,o.dtype,$2(p,o.shape,o.dtype,h).values),d=h.strideHeight,v=h.strideWidth,m=h.dilationHeight,g=h.dilationWidth,y=h.effectiveFilterHeight,b=h.effectiveFilterWidth,x=b-1-h.padInfo.left,k=y-1-h.padInfo.top,w=sD(o.shape,"float32"),I=n.data.get(a.dataId).values,N=sD(a.shape,"float32",I),S=0;S<h.batchSize;++S)for(var T=0;T<h.inChannels;++T)for(var C=0;C<h.inHeight;++C)for(var E=0;E<h.inWidth;++E){for(var A=C-k,R=E-x,_=0,O=0;O<y;O+=m){var F=(A+O)/d;if(!(F<0||F>=h.outHeight||Math.floor(F)!==F))for(var D=0;D<b;D+=g){var M=(R+D)/v;if(!(M<0||M>=h.outWidth||Math.floor(M)!==M)){var L=y*b-1-f.get(S,F,M,T)===O*b+D?1:0;if(0!==L)_+=N.get(S,F,M,T)*L}}}w.set(_,S,C,E,T)}return n.makeTensorInfo(w.shape,w.dtype,w.values)}};var D4={kernelName:TA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,c=r;V$(a,"MaxPoolWithArgmax");var l=c.data.get(a.dataId).values,h=PD(a.shape,i,o,[1,1],s),p=function(e,t,n,r,a){var i=Q2(e,0,n,IC(t),a,"max"),o=$2(e,t,n,a,!0,r);return[i.values,o.values]}(l,a.shape,a.dtype,u,h),f=w(p,2),d=f[0],v=f[1],m=c.write(d,h.outShape,a.dtype),g=c.write(v,h.outShape,a.dtype);return[{dataId:m,shape:h.outShape,dtype:a.dtype},{dataId:g,shape:h.outShape,dtype:"int32"}]}};var M4={kernelName:CA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=uC(i,a.shape),u=tC(eL(a.shape,s)[1]),c=[],l=n.makeTensorInfo([],"float32",new Float32Array([u]));c.push(l);var h=t0({inputs:{x:a},backend:n,attrs:{dtype:"float32"}});c.push(h);var p=Y3({inputs:{a:h,b:l},backend:n});c.push(p);var f=W3({inputs:{x:p},backend:n,attrs:{axis:i,keepDims:o}});return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),f}};var L4={kernelName:EA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;V$(a,"min");var s=uC(i,a.shape),u=s,c=rL(u,a.shape.length),l=a;null!=c&&(l=d1({inputs:{x:a},backend:n,attrs:{perm:c}}),u=iL(u.length,a.shape.length)),nL("min",u,l.shape.length);for(var h=w(eL(l.shape,u),2),p=h[0],f=tC(h[1]),d=EC(tC(p),l.dtype),v=n.data.get(l.dataId).values,m=0;m<d.length;++m){for(var g=m*f,y=v[g],b=0;b<f;++b){var x=v[g+b];(Number.isNaN(x)||x<y)&&(y=x)}d[m]=y}null!=c&&n.disposeIntermediateTensorInfo(l);var k=n.makeTensorInfo(p,l.dtype,d);if(o){var I=C2({inputs:{x:k},backend:n,attrs:{shape:tL(p,s)}});return n.disposeIntermediateTensorInfo(k),I}return k}};var z4={kernelName:RA,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode;V$(a,"mirrorPad");for(var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),c=i.map((function(e,t){return e[0]+a.shape[t]})),l="reflect"===o?0:1,h=n.data.get(a.dataId).values,p=a.shape.length,f=IC(a.shape),d=tC(s),v=s.length,m=IC(s),g=lC(a.dtype,d),y=0;y<d;y++){for(var b=OC(y,v,m),x=0;x<v;x++)b[x]<u[x]?b[x]=2*u[x]-b[x]-l:b[x]>=c[x]&&(b[x]=2*(c[x]-1)-b[x]+l);b=b.map((function(e,t){return e-u[t]}));var k=_C(b,p,f);g[y]=h[k]}return{dataId:n.write(g,s,a.dtype),shape:s,dtype:a.dtype}}},P4=q$((function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})),B4=r0(_A,P4),W4={kernelName:_A,backendName:"cpu",kernelFunc:B4};function V4(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.dim,o=a.shape.length,s=i;if(-1===s&&(s=o-1),s!==o-1)throw Error("Softmax along a non-last dimension is not yet supported. 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").concat(e.name).concat(e.arrayIndex?"[".concat(e.arrayIndex,"]"):"",";"))}));var a,i,o=r.join("\n"),s=e.map((function(e){return function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3?arguments[3]:void 0,a="";a+=n?S8(e,r):N8(e,r);var i=e.shapeInfo.logicalShape,o=t.logicalShape;i.length<=o.length&&(a+=n?B8(e,t):W8(e,t));return a}(e,t,n.packedInputs,n.enableShapeUniforms)})).join("\n"),u=t.texShape,c=m8(),l=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ".concat(e.texture2D,"(textureSampler, uv).r;\n    }\n  ")}(c),h=function(e){return"".concat(e.version,"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ").concat(e.varyingFs," vec2 resultUV;\n    ").concat(e.defineOutput,"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ").concat(e.defineSpecialNaN,"\n    ").concat(e.defineSpecialInf,"\n    ").concat(e.defineRound,"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ").concat(T8,"\n    ").concat(C8,"\n    ").concat(E8,"\n  ")}(c);return t.isPacked?(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){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(1===r[0])return n?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n      }\n    ":"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ".concat(r[1],".0);\n      }\n    ");if(1===r[1])return n?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n      }\n    ":"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ".concat(r[0],".0);\n      }\n    ");if(n)return"\n    int 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      return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(r[0],", ").concat(r[1],"));\n      return 2 * (resTexRC.x * ").concat(r[1]," + resTexRC.y);\n    }\n  ")}(0,t,n);case 2:return function(e,t,n){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(nC(e,t))return n?"\n      ivec2 getOutputCoords() {\n        ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n        return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(".concat(r[0],", ").concat(r[1],"));\n      }\n    ");var a=Math.ceil(e[1]/2);if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(r[0],", ").concat(r[1],"));\n\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return 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(nC(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=y8(["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=g8(["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=y8(["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=g8(["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=g8(["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=g8(["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+=A8),[h,l,i,o,a,s,n.userCode].join("\n")}function N8(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return _8(e,t);case 1:return O8(e,t);case 2:return F8(e,t);case 3:return D8(e,t);case 4:return M8(e,t);case 5:return L8(e);case 6:return z8(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function S8(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=m8(),"\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=m8();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=m8();if(null!=i&&nC(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=G8(e,n.slice(1)),c=["b","row","col"];return"\n        ".concat(S8(u,t),"\n        vec4 ").concat(a,"(int b, int row, int col) {\n          return ").concat(a,"(").concat(j8(c,s),");\n        }\n      ")}var l=m8();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=m8();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) + 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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",C8="\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",E8="\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",A8="\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 R8(e){return"offset".concat(e)}function _8(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=w(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=R8(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=w(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 O8(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(P8(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=R8(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 F8(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&&nC(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=cC(n),c=u.newShape,l=u.keptDims,h=c;if(h.length<n.length){var p=G8(e,h);return"\n      ".concat(N8(p,t),"\n      float ").concat(a,"(int row, int col) {\n        return ").concat(a,"(").concat(j8(["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(P8(e),"\n      }\n    ");var f=i[0],d=i[1],v=R8(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 D8(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=cC(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var h=G8(e,l);return"\n        ".concat(N8(h,t),"\n        float ").concat(a,"(int row, int col, int depth) {\n          return ").concat(a,"(").concat(j8(["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(P8(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                   vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n        float ".concat(a,"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(").concat(o,", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(").concat(d,".0, ").concat(f,".0);\n          return sampleTexture(").concat(r,", uv);\n        }\n      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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      }\n  ")}function M8(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=cC(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var h=G8(e,c);return"\n      ".concat(N8(h,t),"\n      float ").concat(a,"(int row, int col, int depth, int depth2) {\n        return ").concat(a,"(").concat(j8(["row","col","depth","depth2"],l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(").concat(s,", ").concat(o,", ").concat(i,", 1)));\n        ").concat(P8(e),"\n      }\n    ");var p=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],v=f[1],m="int stride2 = ".concat(r,"Shape[3];"),g="int stride1 = ".concat(r,"Shape[2] * stride2;"),y="int stride0 = ".concat(r,"Shape[1] * stride1;");if(v===s&&null==p)return t?"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        ").concat(m,"\n        ").concat(g,"\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(stride1, stride2, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(").concat(o,", ").concat(i,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");if(v===i&&null==p)return t?"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(r,"Shape[1] * ").concat(r,"Shape[2], ").concat(r,"Shape[2], 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(n[1]*n[2],", ").concat(n[2],", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var b=R8(r);return t?"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      ").concat(m,"\n      ").concat(g,"\n      ").concat(y,"\n      int index = row * stride0 + col * stride1 +\n          depth * stride2 + 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 L8(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=cC(t),c=u.newShape,l=u.keptDims;if(c.length<t.length){var h=G8(e,c);return"\n      ".concat(N8(h),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(j8(["row","col","depth","depth2","depth3"],l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(s,", ").concat(o,", ").concat(i,", ").concat(a,")) +\n          depth3;\n        ").concat(P8(e),"\n      }\n    ");var p=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],v=f[1];if(v===s&&null==p)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(").concat(o,", ").concat(i,", ").concat(a,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(v===a&&null==p)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, 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=R8(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 z8(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=cC(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=G8(e,i);return"\n      ".concat(N8(s),"\n      float ").concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ").concat(r,"(").concat(j8(["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(P8(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=R8(n);return"\n    float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(p," + col * ").concat(h," + depth * ").concat(l," +\n          depth2 * ").concat(c," + depth3 * ").concat(u," + depth4 + ").concat(g,";\n      vec2 uv = uvFromFlat(").concat(v,", ").concat(m,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}function P8(e){var t=e.name,n=tC(e.shapeInfo.logicalShape);return n<2?"return ".concat(t,";"):"\n    for (int i = 0; i < 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K8(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(!nC(r,i))throw Error("Binary was compiled with different shapes than "+"the current args. 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a=m8();this.outputShape=t,this.enableShapeUniforms=J8(this.outputShape.length);var i="result";n&&(i="floor(result * 255. + 0.5)");for(var o="",u=0;u<r.length;u++){var c=r[u];o+="\n          if(offset == ".concat(u,") {\n            result = values[").concat(t7[c],"];\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":x8(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 = 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e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),I6(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===BC().getNumber("WEBGL_VERSION")?I6(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):I6(e,(function(){return e.texStorage2D(s,1,r,t,n)})),I6(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function u7(e){return e.internalFormatFloat}function c7(e,t,n,r){var a=w(b6(t,n),2);return s7(e,a[0],a[1],u7(r),r.textureFormatFloat,e.FLOAT)}function l7(e){return e.internalFormatHalfFloat}function h7(e,t,n,r){var a=w(b6(t,n),2);return s7(e,a[0],a[1],l7(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function p7(e){return e.downloadTextureFormat}function f7(e,t,n,r){var a=w(b6(t,n),2);return s7(e,a[0],a[1],p7(r),e.RGBA,e.UNSIGNED_BYTE)}function d7(e){return e.internalFormatPackedFloat}function v7(e,t,n,r){var a=w(k6(t,n),2);return s7(e,a[0],a[1],d7(r),e.RGBA,e.FLOAT)}function m7(e){return 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e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)})):I6(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):2===BC().getNumber("WEBGL_VERSION")?I6(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)})):I6(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),I6(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}function k7(e,t,n,r){var a=e.createBuffer();I6(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return I6(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),I6(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),I6(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}function w7(e,t,n){var r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function I7(e,t,n,r){var a=w(b6(t,n),2),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return I6(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}function N7(e,t,n,r,a,i,o,s){var u=e,c=new Float32Array(function(e,t){var n=w(k6(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 S7(e,t,n){var r=new Float32Array(t*n*4);return I6(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}var T7={__proto__:null,createVertexShader:a7,createVertexBuffer:i7,createIndexBuffer:o7,getInternalFormatForFloat32MatrixTexture:u7,createFloat32MatrixTexture:c7,getInternalFormatForFloat16MatrixTexture:l7,createFloat16MatrixTexture:h7,getInternalFormatForUnsignedBytesMatrixTexture:p7,createUnsignedBytesMatrixTexture:f7,getInternalFormatForPackedMatrixTexture:d7,createPackedMatrixTexture:v7,getInternalFormatForFloat16PackedMatrixTexture:m7,createFloat16PackedMatrixTexture:g7,bindVertexProgramAttributeStreams:y7,uploadDenseMatrixToTexture:b7,uploadPixelDataToTexture:x7,createBufferFromOutputTexture:k7,downloadFloat32MatrixFromBuffer:w7,downloadByteEncodedFloatMatrixFromOutputTexture:I7,downloadPackedMatrixFromBuffer:N7,downloadMatrixFromPackedOutputTexture:S7},C7=function(){function e(t){s(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var n=BC().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,g6(n,t)):this.gl=y6(n),t=this.gl,2===BC().getNumber("WEBGL_VERSION")){var r=t;this.createVertexArray=function(){return I6(r,(function(){return r.createVertexArray()}))},this.bindVertexArray=function(e){return I6(r,(function(){return r.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return I6(r,(function(){return r.deleteVertexArray(e)}))},this.getVertexArray=function(){return I6(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 I6(t,(function(){return a.createVertexArrayOES()}))},this.bindVertexArray=function(e){return I6(t,(function(){return a.bindVertexArrayOES(e)}))},this.deleteVertexArray=function(e){return I6(t,(function(){return a.deleteVertexArrayOES(e)}))},this.getVertexArray=function(){return I6(t,(function(){return t.getParameter(a.VERTEX_ARRAY_BINDING_OES)}))}}var i="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),1===BC().getNumber("WEBGL_VERSION")){var u="OES_texture_half_float";if(this.textureFloatExtension=T6(this.gl,"OES_texture_float"),s8(this.gl,u))this.textureHalfFloatExtension=T6(this.gl,u);else if(BC().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(i),s8(this.gl,o))this.colorBufferHalfFloatExtension=T6(this.gl,o);else if(BC().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(i="EXT_color_buffer_float",s8(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else{if(!s8(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=i7(this.gl),this.indexBuffer=o7(this.gl),this.framebuffer=W6(this.gl),this.textureConfig=w6(this.gl,this.textureHalfFloatExtension)}var t;return c(e,[{key:"debug",get:function(){return BC().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. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;I6(t,(function(){return t.finish()})),I6(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),I6(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),I6(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),I6(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),I6(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),c7(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),h7(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),f7(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),x7(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),b7(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),g7(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),v7(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(K6(this.gl,this.framebuffer),this.outputTexture=null),I6(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return I7(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return N7(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return w7(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=k7(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(BC().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 BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,BC().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 S7(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=a7(n));var r,a=F6(n);return I6(n,(function(){return n.attachShader(a,t.vertexShader)})),I6(n,(function(){return n.attachShader(a,e)})),D6(n,a),r=Object.assign(a,{vao:this.createVertexArray()}),this.bindVertexArray(r.vao),I6(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),console.assert(y7(n,r,this.vertexBuffer),"gpgpu_util.bindVertexProgramAttributeStreams not fully successful."),this.debug&&M6(n,r),this.setProgram(r),r}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(I6(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.bindVertexArray(this.program.vao),this.debug&&M6(this.gl,this.program)),I6(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?G6(this.gl,e,t):j6(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),I6(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(),H6(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=w(k6(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&&M6(this.gl,this.program),X6(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()}I6(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),I6(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=T6(this.gl,2===BC().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===BC().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!==BC().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=o(r().mark((function e(t){var n=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,oC((function(){return n.disposed||n.isQueryAvailable(t,BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,BC().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 BC().platform&&(r=BC().platform.setTimeoutCustom.bind(BC().platform)),oC((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),q6(this.gl,e,this.framebuffer),this.debug&&X6(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(q6(this.gl,this.outputTexture,this.framebuffer),this.debug&&X6(this.gl)):K6(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;q6(r,e,this.framebuffer),this.debug&&X6(r),this.outputTexture=e,I6(r,(function(){return r.viewport(0,0,t,n)})),I6(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),I6(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 E7=i0,A7=c0,R7=l0,_7=e0,O7=d0,F7=g0,D7=y0,M7=k0,L7=N0,z7=C0,P7=F0,B7=D0,W7=M0,V7=P0,U7=V0,G7=j0,j7=K0,H7=X0,q7=Z0,K7=Q0,X7=t1,Y7=a1,J7=u1,Z7=l1,Q7=m1,$7=k1,e9=I1,t9=E1,n9=A1,r9=R1,a9=F1,i9=D1,o9=j$,s9=z1,u9=W1,c9=V1,l9=U1,h9=G1,p9=Y1,f9=Q1,d9=e2,v9=n2,m9=r2,g9=a2,y9=u2,b9=h2,x9=f1,k9=p2;function w9(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function I9(e,t){return 1===t?[e]:w9(e,t)}var N9=function(){function e(t){if(s(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=J8(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=I9("rc",this.rank),r=V8(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 c(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}(),S9=c((function e(t,n){s(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=J8(this.outputShape.length);for(var r,a,i,o="",u=0;u<4;u++){var c="thisRC = rc;";u%2==1&&(c+="thisRC.z += 1;"),u>1&&(c+="thisRC.y += 1;"),o+="\n        ".concat(c,"\n        ").concat(u>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(u,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(u>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=b8(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"):g8(["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":x8(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 T9=function(){function e(t){s(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 c(e,[{key:"acquireTexture",value:function(e,t,n){var r=E9(t,n),a=A9(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=C9(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===d6.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===d6.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===d6.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===d6.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===d6.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=E9(n,r),i=A9(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=C9(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=BC().get("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 C9(e,t,n,r,a){var i,o=function(e,t){switch(e){case d6.PACKED_2X2_FLOAT32:return d7(t);case d6.PACKED_2X2_FLOAT16:return m7(t);case d6.UNPACKED_FLOAT32:return u7(t);case d6.UNPACKED_FLOAT16:return l7(t);case d6.PACKED_4X1_UNSIGNED_BYTE:return p7(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=w(k6(e[0],e[1]),2);i=s[0]*s[1]}else{var u=w(b6(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 E9(e,t){if(e===f6.UPLOAD)return d6.PACKED_2X2_FLOAT32;if(e===f6.RENDER||null==e)return function(e){return BC().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?d6.PACKED_2X2_FLOAT32:d6.UNPACKED_FLOAT32:e?d6.PACKED_2X2_FLOAT16:d6.UNPACKED_FLOAT16}(t);if(e===f6.DOWNLOAD||e===f6.PIXELS)return d6.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function A9(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var R9=c((function e(t,n){s(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=J8(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    ")})),_9="if (isnan(x)) return x;",O9="return x;",F9="return abs(x);";var D9="return (x >= 0.0) ? x : (exp(x) - 1.0);",M9=_9+"\n  return (x < 0.0) ? 0.0 : x;\n",L9=_9+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",z9="return x;",P9="return 1.0 / (1.0 + exp(-1.0 * x));",B9="return x;",W9="\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",V9="\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",U9="\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",G9="return 1.0 / (1.0 + exp(-1.0 * x));",j9=c((function e(t,n){s(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=J8(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    ")})),H9=c((function e(t){s(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=J8(this.outputShape.length);var n=t.length,r=I9("rc",n),a=V8(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),u=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(u,"));\n      }\n    ")})),q9=YP,K9={};var X9=BC().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var Y9=function(e){h(l,e);var t,n,a,i,u=b(l);function l(e){var t,n,r;if(s(this,l),(t=u.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,!BC().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof C7)n=e;else{var a=y6(BC().getNumber("WEBGL_VERSION"),e);n=new C7(a)}t.binaryCache={},t.gpgpuCreatedLocally=!1}else{var i=y6(BC().getNumber("WEBGL_VERSION"));n=new C7(i),t.binaryCache=((r=BC().getNumber("WEBGL_VERSION"))in K9||(K9[r]={}),K9[r]),t.gpgpuCreatedLocally=!0}return t.gpgpu=n,t.canvas=t.gpgpu.gl.canvas,t.textureManager=new T9(t.gpgpu),t.numMBBeforeWarning=null==BC().global.screen?1024:BC().global.screen.height*BC().global.screen.width*window.devicePixelRatio*600/1024/1024,t.texData=new jT(g(t),pD()),t}return c(l,[{key:"nextDataId",value:function(){return l.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=e8(t),c=new n7(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((BC().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||BC().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:f6.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(BC().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:f6.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 j9(o,z9):new R9(o,z9);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=Q_()),"complex64"===r)?p=cU(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=Q_()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:(i=o(r().mark((function e(t){var n,a,i,o,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,N,S,T;return r().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(a=this.texData.get(t),i=a.values,o=a.shape,s=a.slice,u=a.dtype,c=a.complexTensorInfos,l=a.isPacked,null==s){e.next=11;break}return h=l?new j9(o,z9):new R9(o,z9),p=this.runWebGLProgram(h,[{dataId:t,shape:o,dtype:u}],u),f=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",f);case 11:if(null==i){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!BC().getBool("DEBUG")){e.next=16;break}if(BC().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==BC().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&&BC().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(I(x6(o))))),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=cU(x,k),e.next=32;break;case 31:null==d?y=this.getValuesFromTexture(t):(w=tC(o),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=v&&this.disposeIntermediateTensorInfo(v),null!=d&&I6(N=this.gpgpu.gl,(function(){return N.deleteBuffer(d)})),S=this.convertAndCacheOnCPU(t,y),T=this.pendingRead.get(t),this.pendingRead.delete(t),T.forEach((function(e){return e(S)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&pD().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",S);case 40:case"end":return e.stop()}}),e,this)}))),function(e){return i.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 j9(a,z9):new R9(a,z9);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=pD().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 tO(e)}));return sD(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return sD(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(!N6(n)){if(BC().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=tC(n);if(BC().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(I(x6(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=BC().getBool("WEBGL_PACK")&&!0===a,h=l?e8(n):n,p=l?new e7(h):new $8(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 BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,a=[],i=!1;null==this.programTimersStack?(this.programTimersStack=a,i=!0):this.activeTimers.push(a),this.activeTimers=a,e();var s=rO(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),u=rO(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,i&&(this.programTimersStack=null);var c={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return o(r().mark((function e(){var n;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(s);case 3:n=e.sent,c.kernelMs=ZT(n),c.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:u[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:c.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",c);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 BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Q_(),endMs:null}}},{key:"endTimer",value:function(e){return BC().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=Q_(),e)}},{key:"getQueryTime",value:(a=o(r().mark((function e(t){var n;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(BC().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 a.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]:X9;return BC().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&tC(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){$R("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return q9(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new j9(e.shape,t),a=this.compileAndRun(r,[e],n);return pD().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=o9(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(BC().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,F9,e.dtype);var n=new R9(e.shape,F9),r=this.compileAndRun(n,[e]);return pD().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&gC(n[0])){var a=n.map((function(e){return eO(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 pD().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new H9(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new N9(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[Q6(e.shape)].concat(I($6(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[Q6(t)].concat(I($6(t))),i=new S9(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&&QT(tC(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=e8(a);o=r?new Q8(s):new Z8(s);var u=[null!=t?t:x6(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===p6.DENSE){var c=null!=o?o:x6(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===tC(s.shape))return u.values=lC(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&&tC(t.shape)<=BC().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&&!r8(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=Y8(e,h,f),v=this.getAndSaveBinary(d,(function(){return H8(a.gpgpu,e,h,f)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),BC().get("ENGINE_COMPILE_ONLY")||X8(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=BC().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=Q_();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!BC().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(!BC().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=dD((function(){if(!BC().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=BC().getBool("DEBUG");BC().set("DEBUG",!1);var n=e.abs(cL(1e-8)).dataSync()[0];if(BC().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=Q_());var l=t.texShape;if(null==l&&(l=t8(n,s),t.texShape=l),null!=a){var h,p=e8(n),f=l[1],d=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=w(k6(l[0],l[1]),2);f=m[0],d=m[1]}h=s?new r7(p,v):new n7(p,v);var g=v?[d,f]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?f6.PIXELS:f6.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),I=this.texData.get(k.dataId);t.texShape=I.texShape,t.isPacked=I.isPacked,t.usage=I.usage,BC().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=I.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=Q_()-u)}else{var N=this.acquireTexture(l,o,r,s);t.texture=N}}}},{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 Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype ".concat(t))}(t,r)),n.values}},{key:"acquireTexture",value:function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: ".concat(a," MB, ")+"most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)}},{key:"computeBytes",value:function(e,t){return e[0]*e[1]*vC(t)}},{key:"checkCompileCompletion",value:function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=w(t[e],2)[1];this.checkCompletion_(n)}}},{key:"checkCompileCompletionAsync",value:(n=o(r().mark((function e(){var t,n,a,i,o,s,u,c,l=this;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=[],!this.gpgpu.parallelCompilationExtension){e.next=6;break}for(n=0,a=Object.entries(this.binaryCache);n<a.length;n++)i=w(a[n],2),o=i[1],t.push(this.checkCompletionAsync_(o));return e.abrupt("return",Promise.all(t));case 6:s=r().mark((function e(){var n,a,i;return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:n=w(c[u],2),a=n[1],i=new Promise((function(e){try{l.checkCompletion_(a),e(!0)}catch(e){throw e}})),t.push(i);case 3:case"end":return e.stop()}}),e)})),u=0,c=Object.entries(this.binaryCache);case 8:if(!(u<c.length)){e.next=13;break}return e.delegateYield(s(),"t0",10);case 10:u++,e.next=8;break;case 13:return e.abrupt("return",Promise.all(t));case 14:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"checkCompletionAsync_",value:(t=o(r().mark((function e(t){return r().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)){e.next=4;break}return e.abrupt("return",this.checkCompletion_(t));case 4:return e.next=6,VV();case 6:return e.abrupt("return",this.checkCompletionAsync_(t));case 7:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"checkCompletion_",value:function(e){if(!1===this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)){if(console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),!1===this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS))throw O6(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.");throw new Error("Failed to link vertex and fragment shaders.")}return!0}},{key:"getUniformLocations",value:function(){for(var e=0,t=Object.values(this.binaryCache);e<t.length;e++){var n=t[e],r=q8(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=pD().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");var u=s.writeTexture(r,t,n,a,i,o);return pD().makeTensorFromDataId(u,t,n,s)}}]),l}(HT);Y9.nextDataId=0;var J9="4.4.0";function Z9(){BC().set("WEBGL_FORCE_F16_TEXTURES",!0)}HO()&&yD("webgl",(function(){return new Y9}),2);var Q9={forceHalfFloat:Z9},$9=c((function e(t,n,r){s(this,e),this.variableNames=["A","B"],this.outputShape=UM(n,r),this.enableShapeUniforms=J8(this.outputShape.length),this.userCode="\n      float binaryOperation(float a, float b) {\n        ".concat(t,"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    ")})),eee="\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",tee=c((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];s(this,e),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=UM(n,r);var i=this.outputShape.length;this.enableShapeUniforms=J8(i);var o="";if(a)if(0===i||1===tC(this.outputShape))o="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else{var u=V8(i);if(o="\n          ".concat(u," coords = getOutputCoords();\n        "),1===i)this.enableShapeUniforms?o+="\n            result.y = (coords + 1) >= outShape ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ":o+="\n            result.y = (coords + 1) >= ".concat(this.outputShape[0]," ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ");else{var c=I9("coords",i);this.enableShapeUniforms?o+="\n            bool nextRowOutOfBounds =\n              (".concat(c[i-2]," + 1) >= outShape[").concat(i," - 2];\n            bool nextColOutOfBounds =\n              (").concat(c[i-1]," + 1) >= outShape[").concat(i," - 1];\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "):o+="\n            bool nextRowOutOfBounds =\n              (".concat(c[i-2]," + 1) >= ").concat(this.outputShape[i-2],";\n            bool nextColOutOfBounds =\n              (").concat(c[i-1]," + 1) >= ").concat(this.outputShape[i-1],";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          ")}}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ".concat(t,"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));function nee(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var ree={kernelName:nA,backendName:"webgl",kernelFunc:nee};function aee(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),s=nee({inputs:{x:r},backend:n}),u=nee({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var iee={kernelName:dE,backendName:"webgl",kernelFunc:aee},oee="return (a < 0.) ? b * a : a;",see="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var uee={kernelName:uA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",J_(i,"float32")),s=BC().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new tee(see,a.shape,o.shape):new $9(oee,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},cee="return (a < 0.) ? b * a : a;",lee="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var hee={kernelName:jA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=BC().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new tee(lee,r.shape,a.shape):new $9(cee,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function pee(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 i=BC().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new j9(u.shape,n):new R9(u.shape,t),c.runWebGLProgram(i,[u],l)}}function fee(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,a=void 0!==r&&r,i=e.supportsComplex,o=void 0!==i&&i,s=e.cpuKernelImpl,u=e.dtype;return function(e){var r=e.inputs,i=e.backend,c=r.a,l=r.b,h=i;if(o&&"complex64"===c.dtype){var p=h.texData.get(c.dataId),f=h.texData.get(l.dataId),d=[[p.complexTensorInfos.real,f.complexTensorInfos.real],[p.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=w(e,2),r=n[0],a=n[1],i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o={dataId:a.dataId,dtype:a.dtype,shape:l.shape},s=new $9(t,c.shape,l.shape);return h.runWebGLProgram(s,[i,o],TO(r.dtype,a.dtype))})),v=w(d,2),m=v[0],g=v[1],y=aee({inputs:{real:m,imag:g},backend:h});return h.disposeIntermediateTensorInfo(m),h.disposeIntermediateTensorInfo(g),y}var b,x=u||TO(c.dtype,l.dtype);if(("string"===c.dtype||"string"===l.dtype||h.shouldExecuteOnCPU([c,l]))&&null!=s){var k=h.texData.get(c.dataId).values,I=h.texData.get(l.dataId).values,N="string"===c.dtype?VU(k):k,S="string"===c.dtype?VU(I):I,T=w(s(c.shape,l.shape,N,S,x),2),C=T[0],E=T[1],A=h.makeTensorInfo(E,x);return h.texData.get(A.dataId).values=C,A}return b=BC().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new tee(n,c.shape,l.shape,a):new $9(t,c.shape,l.shape),h.runWebGLProgram(b,[c,l],x)}}function dee(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if("linear"===e)return t?B9:O9;if("relu"===e)return t?V9:M9;if("elu"===e)return t?W9:D9;if("relu6"===e)return t?U9:L9;if("prelu"===e)return t?lee:cee;if("leakyrelu"===e)return t?see:oee;if("sigmoid"===e)return t?G9:P9;throw new Error("Activation ".concat(e," has not been implemented for the WebGL backend."))}var vee=c((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],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],u=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,c=arguments.length>7&&void 0!==arguments[7]&&arguments[7],l=arguments.length>8&&void 0!==arguments[8]&&arguments[8];s(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r,this.enableShapeUniforms=J8(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="";u&&(g=c?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(u,"\n        }"):l?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          ".concat(u,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(u,"\n        }"),y="result = activation(result);");var b=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),c&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");var x="rc.x",k="rc.x";t[0]<n[0]?x="imod(rc.x, ".concat(t[0],")"):n[0]<t[0]&&(k="imod(rc.x, ".concat(n[0],")")),this.userCode="\n      ".concat(g,"\n      // Don't use uniform for sharedDimensionPacked for performance.\n      const float sharedDimension = ").concat(p,".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        int batchA = ").concat(x,";\n        int batchB = ").concat(k,";\n        for (int i = 0; i < ").concat(p,"; i++) {\n          vec4 a = getMatrixA(batchA, ").concat(f,");\n          vec4 b = getMatrixB(batchB, ").concat(d,");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (").concat(v[0]," * ").concat(m[0],");\n          result += (").concat(v[1]," * ").concat(m[1],");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ").concat(b,"\n\n        ").concat(y,"\n\n        setOutput(result);\n      }\n    ")})),mee="return areal * breal - aimag * bimag;",gee="return areal * bimag + aimag * breal;",yee=c((function e(t,n,r){s(this,e),this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=UM(n,r),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ".concat(t,"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    ")})),bee="return a * b;";function xee(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=TO(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),c=new yee(mee,a.shape,i.shape),l=new yee(gee,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=aee({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=w(Y7(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=BC().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new tee(bee,a.shape,i.shape):new $9(bee,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var kee={kernelName:FA,backendName:"webgl",kernelFunc:xee};function wee(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=tC(a.shape),u=sC(i,s),c=tC(u);QT(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. The new shape and old ")+"shape must have the same number of elements."}));var l=o.texData.get(a.dataId);return!l.isPacked||r8(a.shape,u)||null!==l.texture&&r8(l.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[Q6(e.shape)].concat(I($6(e.shape))),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[Q6(t)].concat(I($6(t))),o=new S9(i,r),s=[r],u=n.runWebGLProgram(o,[a],e.dtype,s,!0);return{dataId:u.dataId,shape:t,dtype:u.dtype}}(a,u,o)}var Iee={kernelName:$A,backendName:"webgl",kernelFunc:wee},Nee=c((function e(t,n){s(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.outSize;this.outputShape=[a,o];var u=4*Math.floor(r/4),c=r%4,l="sumValue += dot(values, ones);";if(null!=n){var h=1/n;l="sumValue += dot(values * ".concat(rC(h)?h.toPrecision(2):h,", ones);")}var p="";i%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return 0.0;\n        }\n      ")),this.userCode="\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ".concat(p,"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ").concat(r,";\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          ").concat(l,"\n        }\n\n        int inIdx = inOffset + ").concat(u,";\n        if (").concat(1===c,") {\n          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n          ").concat(l,"\n        } else if (").concat(2===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          ").concat(l,"\n        } else if (").concat(3===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          ").concat(l,"\n        }\n        setOutput(sumValue);\n      }\n    ")})),See=c((function e(t,n){s(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.outSize;this.outputShape=[a,o];var u="0.0",c="";"prod"===n?u="1.0":"min"===n?(u="1.0 / 1e-20",c="min"):"max"===n&&(u="-1.0 / 1e-20",c="max");var l="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===n?l="sumValue":"prod"===n?l="prodValue":"all"===n?l="allValue":"any"===n&&(l="anyValue");var h=4*Math.floor(r/4),p=r%4,f="\n      if (".concat("sum"===n,") {\n        sumValue += dot(values, ones);\n      } else if (").concat("prod"===n,") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ").concat(c,"(values, minMaxValue);\n        if (").concat("min"===n," || ").concat("max"===n,") {\n          minMaxValue = ").concat(c,"(values, minMaxValue);\n          bvec4 isNaN = isnan(values);\n          if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n            minMaxValue = vec4(NAN);\n          }\n        }\n      }\n    "),d="vec4";"all"===n?(u="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===n&&(u="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var v="";i%r>0&&(v="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return initializationValue;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat(u,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ").concat(v,"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ").concat(r,";\n\n        vec4 minMaxValue = vec4(").concat(u,");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ").concat(h,"; i += 4) {\n          int inIdx = inOffset + i;\n          ").concat(d," values = ").concat(d,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ").concat(f,"\n        }\n\n        int inIdx = inOffset + ").concat(h,";\n        if (").concat(1===p,") {\n          ").concat(d," values = ").concat(d,"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(f,"\n        } else if (").concat(2===p,") {\n          ").concat(d," values = ").concat(d,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(f,"\n        } else if (").concat(3===p,") {\n          ").concat(d," values = ").concat(d,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ").concat(f,"\n        }\n        setOutput(").concat(l,");\n      }\n    ")}));function Tee(e,t,n,r){for(var 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=XV(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 Nee({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new Nee({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new See({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 Cee=c((function e(t,n){s(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=V8(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 Eee=c((function e(t,n){s(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=V8(this.rank),o=w9("rc",this.rank),u=new Array(this.rank),c=0;c<n.length;c++)u[n[c]]=o[c];var l="vec2(".concat(u.slice(-2).join(),")"),h="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),p="getChannel(getA(".concat(u.join(),"), ").concat(l,")");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      --").concat(o[this.rank-1],";\n      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e(t,n){s(this,e),this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("vec4 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        vec4 result = ").concat(a,";\n        setOutput(result);\n      }\n    ")}));var Kee={kernelName:qC,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return nee({inputs:{x:a[0]},backend:r});if(a.length>BC().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(a.length/2),o=e({inputs:a.slice(0,i),backend:r}),s=e({inputs:a.slice(i),backend:r});return e({inputs:[o,s],backend:r})}var u=a.map((function(e){return e.dtype})).reduce((function(e,t){return TO(e,t)})),c=a.map((function(e){return 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=uC(i,a.shape),c=u,l=rL(c,s),h=a;null!=l&&(h=Oee({inputs:{x:a},backend:n,attrs:{perm:l}}),c=iL(c.length,s)),nL("any",c,s);var p,f=w(eL(h.shape,c),2),d=f[0],v=wee({inputs:{x:h},backend:n,attrs:{shape:[-1,tC(f[1])]}}),m=Tee(v,v.dtype,"any",n);return p=wee(o?{inputs:{x:m},backend:n,attrs:{shape:tL(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},Jee=c((function e(t,n,r){s(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 u="max"===n?">":"<",c=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  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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=uC(r.axis,a.shape),o=rL(i,a.shape.length),s=a,u=[];null!=o&&(s=Oee({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=iL(i.length,s.shape.length)),nL("argMin",[i[0]],s.shape.length);var c=ete(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},rte=pee({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),ate={kernelName:ZC,backendName:"webgl",kernelFunc:rte},ite=pee({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),ote={kernelName:QC,backendName:"webgl",kernelFunc:ite},ste=pee({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),ute={kernelName:$C,backendName:"webgl",kernelFunc:ste},cte=fee({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 || 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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 ? NAN : result.a;\n\n  return result;\n"}),lte={kernelName:tE,backendName:"webgl",kernelFunc:cte},hte=pee({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;"}),pte={kernelName:eE,backendName:"webgl",kernelFunc:hte},fte=c((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(s(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,u=t.strideHeight,c=t.strideWidth,l=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(u,", ").concat(c,");\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(l,") {\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(u,", ").concat(c,");\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(l,") {\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    ")}})),dte=c((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(s(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,u=t.strideDepth,c=t.strideHeight,l=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(u,", ").concat(c,", ").concat(l,");\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,C="\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(u,", ").concat(c,", ").concat(l,");\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(C,"\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(C,"\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(C,"\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(C,"\n            }\n          }\n        }\n        setOutput(").concat(N,");\n      }\n    ")}}));var vte={kernelName:nE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;f8(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;QT(JD(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=PD(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&nC(c.inShape,c.outShape))return nee({inputs:{x:a},backend:n});var l=new fte(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var mte={kernelName:aE,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=BD(a.shape,i,o,[1,1,1],s,u,c),h=new dte(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},gte=c((function e(t){s(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,u=t.dilationWidth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,h=c-1-t.padInfo.top,p=l-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(c,";\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(l,";\n            wC+= ").concat(u,") {\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    ")})),yte=c((function e(t){s(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,u=t.strideWidth,c=t.dilationDepth,l=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(c,") {\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(l,") {\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(u,".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 bte={kernelName:iE,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=BD(i.shape,o,s,[1,1,1],u,c),h=new yte(l);return n.runWebGLProgram(h,[a],i.dtype)}};var xte={kernelName:rE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;f8([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=PD(o.shape,s,u,1,c),h=new gte(l);return n.runWebGLProgram(h,[a],o.dtype)}};var kte={kernelName:oE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return Dee({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},wte=c((function e(t,n,r,a,i,o){s(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],UM(t,n),UM(t,r);var u="0.0";null!=a&&(UM(t,a),this.variableNames.push("offset"),u="getOffsetAtOutCoords()");var c="1.0";null!=i&&(UM(t,i),this.variableNames.push("scale"),c="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(u,";\n        float scale = ").concat(c,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),Ite=c((function e(t,n,r,a,i,o){s(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],UM(t,n),UM(t,r);var u="vec4(0.0)";null!=a&&(UM(t,a),this.variableNames.push("offset"),u="getOffsetAtOutCoords()");var c="vec4(1.0)";null!=i&&(UM(t,i),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(u,";\n        vec4 scale = ").concat(c,";\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    ")})),Nte={kernelName:ZE,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;QT(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal 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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    ")})),nne=c((function e(t){s(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,u=t.strideWidth,c=t.dilationDepth,l=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(u,");\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(c,";\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(l,";\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    ")})),rne=c((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];s(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=J8(this.outputShape.length);for(var o=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,l=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(l,"; 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*c,";\n           "),1===u){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===c&&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?YT(c):c;c%2==0&&o%2==1||c%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+=c>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     ")})),ane=c((function e(t,n){s(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=J8(this.outputShape.length);for(var r=n.dataFormat,a=m8(),i="channelsLast"===r,o=i?1:2,u=i?2:3,c=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),l="",h=0;h<=1;h++)for(var p=0;p<=1;p++)l+="\n          blockIndex = rc.z + ".concat(p,";\n          pos = rc.y + ").concat(h,";\n\n          ").concat(c,"\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(u,"] && 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(l,"\n\n        ").concat(a.output," = result;\n      }\n    ")}));function ine(e,t){var n=e.length;return n>=3?[].concat(I(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 one(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=ine(c.shape,b);null!=k&&(c=wee({inputs:{x:c},backend:i,attrs:{shape:k}}),x.push(c))}if(null!=s){var w=ine(s.shape,b);null!=w&&(s=wee({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&&nC(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]++,QT(r8(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to ").concat(N.shape," isn't free")}));var T=wee({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var C=Dee({a:N,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h}),E=i.texData.get(C.dataId);QT(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),v.shape=S,E.shape=a.outShape,(t=nee({inputs:{x:C},backend:i})).shape=a.outShape,x.push(C)}else{var A=a.outHeight*a.outWidth,R=wee({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=wee({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=Dee({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h});t=wee({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 sne(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=ine(u.shape,y);null!=I&&(u=wee({inputs:{x:u},backend:a,attrs:{shape:I}}),w.push(u))}if(null!=o){var N=ine(o.shape,y);null!=N&&(o=wee({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var S=wee({inputs:{x:n},backend:a,attrs:{shape:[1,b,tC(n.shape)/b]}});w.push(S);var T=new ane(k,r),C=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],E=a.runWebGLProgram(T,[t],"float32",C),A=wee({inputs:{x:E},backend:a,attrs:{shape:k}});w.push(E),w.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===p,F=p?dee(p,!0):null,D=new vee(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",J_(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=wee({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 une={kernelName:gE,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=QD(c),f=WD(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&&BC().getBool("WEBGL_EXP_CONV")){var d=new rne(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(BC().getBool("WEBGL_CONV_IM2COL"))t=sne({x:i,filter:o,convInfo:f,backend:r});else{var m=new tne(f);t=r.runWebGLProgram(m,[i,o],"float32")}else t=one({x:i,filter:o,convInfo:f,backend:r});var g=wee({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},cne=c((function e(t){s(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    ")})),lne=c((function e(t){s(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,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left,l=o?1:2,h=o?2:3,p=o?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(u,", ").concat(c,");\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(l,"], 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    ")})),hne=c((function e(t){s(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,u=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(u,";\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    ")})),pne=c((function e(t){s(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,u=t.strideWidth,c=n-1-t.padInfo.front,l=r-1-t.padInfo.top,h=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(c,", ").concat(l,", ").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(u,".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 fne={kernelName:yE,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=QD(u),p=WD(a.shape,l,o,1,s,c,!1,h),f=new cne(p);return n.runWebGLProgram(f,[a,i],"float32")}},dne=c((function e(t){s(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=J8(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 vne={kernelName:bE,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=QD(c),p=WD(o,i.shape,s,1,u,l,!1,h);if(BC().getBool("WEBGL_PACK")&&"channelsLast"===h){var f=[[p.strideHeight,p.strideWidth]],d=new dne(p);return n.runWebGLProgram(d,[a,i],"float32",f)}var v=new lne(p);return n.runWebGLProgram(v,[a,i],"float32")}};var mne={kernelName:xE,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=VD(a.shape,i.shape,o,u,s),l=new nne(c);return n.runWebGLProgram(l,[a,i],"float32")}};var gne={kernelName:kE,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=VD(a.shape,u,o,1,s),l=new hne(c);return n.runWebGLProgram(l,[a,i],"float32")}};var yne,bne={kernelName:wE,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=VD(r.inputShape,i.shape,s,1,o),c=new pne(u);return n.runWebGLProgram(c,[a,i],"float32")}},xne=pee({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n",packedOpSnippet:"\n  vec4 result = cos(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(eee,"\n  return result;\n")}),kne={kernelName:IE,backendName:"webgl",kernelFunc:xne},wne=pee({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),Ine={kernelName:NE,backendName:"webgl",kernelFunc:wne},Nne=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=w(t,4),u=o[0],c=o[1],l=o[2],h=o[3],p=w(n,1)[0],f=w(r,2),d=f[0],v=f[1];this.outputShape=[p,d,v,h];var m="bilinear"===a?1:0,g="".concat(c-1,".0"),y="".concat(l-1,".0"),b=w(d>1?["".concat((c-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],I=b[2],N=w(v>1?["".concat((l-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),S=N[0],T=N[1],C=N[2];this.userCode="\n      const float height_ratio = float(".concat(x,");\n      const float width_ratio = float(").concat(S,");\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(u,") {\n          return;\n        }\n\n        float height_scale = ").concat(k,";\n        float width_scale = ").concat(T,";\n\n        float in_y = ").concat(I,";\n        if( in_y < 0.0 || in_y > ").concat(g," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n        float in_x = ").concat(C,";\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    ")})),Sne={kernelName:CE,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 Nne(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(yne||(yne={}));var Tne=c((function e(t,n,r,a){s(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===yne.Prod?"1.0":"0.0",u=r?o:"getX(".concat(Cne(i,"coords",this.op),")"),c=this.outputShape[this.outputShape.length-1],l="",h="";r?(l=a?"end != ".concat(c-1):"end != 0",h=a?"end + 1":"end - 1"):(l=a?"end + pow2 < ".concat(c):"end >= pow2",h=a?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        ".concat(V8(i)," coords = getOutputCoords();\n        int end = ").concat(Ene(i,"coords",this.op),";\n        float val = ").concat(u,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(l,") {\n          int idx = ").concat(h,";\n          ").concat(Ene(i,"coords",this.op)," = idx;\n          val ").concat(this.op,"= getX(").concat(Cne(i,"coords",this.op),");\n        }\n        setOutput(val);\n      }\n    ")}));function Cne(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 Ene(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 Ane(e,t,n,r,a,i){var o=t.shape.length,s=rL([r],o),u=t;null!=s&&(u=Oee({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=iL(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=nee({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var f=new Tne(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 Tne(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=Oee({inputs:{x:h},backend:n,attrs:{perm:aL(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var Rne={kernelName:SE,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 Ane(yne.Prod,a,n,i,o,s)}};var _ne={kernelName:TE,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 Ane(yne.Sum,a,n,i,o,s)}};var One={kernelName:EE,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=A7(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=R7(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,"."))}},Fne=function(){function e(t,n,r){s(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 c(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 Dne={kernelName:AE,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 Fne("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},Mne=c((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];s(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=J8(this.outputShape.length);var o=t.filterHeight,u=t.filterWidth,c=t.outChannels/t.inChannels,l="",h="";r&&(l=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(l,"\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(c,";\n        int q = d2 - d1 * ").concat(c,";\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(u,"; 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    ")})),Lne=c((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];s(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=J8(this.outputShape.length);for(var o=t.outChannels/t.inChannels,u=t.padInfo.left,c=t.strideWidth,l=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*l,";\n          "),1===c){if(y<p&&(u%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===l&&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=u%2==0?YT(l):l;l%2==0&&u%2==1||l%2!=0&&u%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+=l>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&&(u%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                  xTexelC").concat(y+1,"Ready = 1;\n                }\n\n                xC").concat(y," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n              "),y+1<p&&(d+="\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(y+1," = vec4(xTexelC").concat(y+1,".xy, final.xy);\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                xCOffset = xC + strides[1];\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.);\n                  }\n                  xTexelC").concat(y+1,"Ready = 1;\n                }\n\n                xC").concat(y," = vec4(\n                  xTexelC").concat(y,".xy, xTexelC").concat(y+1,".xy);\n              "),y+1<p&&(d+="\n                  xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n                "))));y<p&&(d+="\n            wTexel = getW(r, ".concat(y,", d1, q);\n            dotProd += xC").concat(y," * vec4(wTexel.xz, wTexel.xz);\n          "),y+1<p&&(d+="\n              wTexel = getW(r, ".concat(y+1,", d1, q);\n              dotProd += xC").concat(y+1," * vec4(wTexel.xz, wTexel.xz);\n            ")))}d+="\n    }\n  ",d+="\n      }\n    ";var x="",k="";r&&(x=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        }"),k="result = activation(result);");var w=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(x,"\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(o,";\n        int q = d2 - d1 * ").concat(o,";\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(d,"\n\n        vec4 result = dotProd - vec4(0.000000000000001);\n        ").concat(w,"\n        ").concat(k,"\n        setOutput(result);\n      }\n    ")}));var zne={kernelName:RE,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=r.dimRoundingMode,l=u;null==l&&(l=[1,1]),QT(JD(o,l),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(o," and dilations '").concat(l,"'")}));var h,p=WD(a.shape,i.shape,o,l,s,c,!0);h=BC().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?new Lne(p):new Mne(p);var f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return n.runWebGLProgram(h,[a,i],"float32",f)}},Pne=c((function e(t){s(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=t.outChannels/t.inChannels;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 dm = coords.w;\n        int d2 = d1 * ".concat(o," + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\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              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),Bne=c((function e(t){s(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2(".concat(o,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\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            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ").concat(c,"; dm++) {\n              int d2 = d1 * ").concat(c," + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var Wne={kernelName:_E,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.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape,h=WD(a.shape,l,o,s,u,c,!0),p=new Pne(h);return n.runWebGLProgram(p,[a,i],"float32")}};var Vne={kernelName:OE,backendName:"webgl",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=WD(r.inputShape,i.shape,o,s,u,c,!0),h=new Bne(l);return n.runWebGLProgram(h,[a,i],"float32")}},Une=c((function e(t){s(this,e),this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void 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Hne={kernelName:DE,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.dilations,l=zD(i.shape,o.shape,s,u,"NHWC",c),h=new jne(l),p=wee({inputs:{x:t=r.runWebGLProgram(h,[i,o],"float32")},backend:r,attrs:{shape:l.outShape}});return r.disposeIntermediateTensorInfo(t),p}};var qne={kernelName:PE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=bU(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;kU(i.length,s,r);for(var u=wU(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=A(l[v]);try{for(g.s();!(m=g.n()).done;){var y=m.value,b=xU(f,s[y]),x=b.permutationIndices,k=b.expandDims,w=void 0;IU(x)?w=r[y]:(w=Oee({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(w));for(var I=w.shape.slice(),N=0;N<k.length;++N)I.splice(k[N],0,1);nC(w.shape,I)||(w=wee({inputs:{x:w},backend:n,attrs:{shape:I}}),d.push(w)),null===p?p=w:(p=xee({inputs:{a:w,b:p},backend:n}),d.push(p))}}catch(e){g.e(e)}finally{g.f()}v<h-1&&(c[v]>=0&&(p=Ree({inputs:{x:p},backend:n,attrs:{axis:c[v]-(i.length-f),keepDims:!1}}),d.push(p)),f--)}for(var S=0,T=d;S<T.length;S++){var C=T[S];C!==p&&n.disposeIntermediateTensorInfo(C)}return p}},Kne=pee({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\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"}),Xne={kernelName:BE,backendName:"webgl",kernelFunc:Kne},Yne={kernelName:WE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y,i=BC().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new tee("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new $9("return (b >= 0.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(i,[r,a],r.dtype)}},Jne=fee({opSnippet:"return float(a == b);",packedOpSnippet:"\n  return vec4(equal(a, b));\n",dtype:"bool",cpuKernelImpl:D7}),Zne={kernelName:UE,backendName:"webgl",kernelFunc:Jne},Qne=pee({opSnippet:'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = '.concat(rU,";\n  float a1 = ").concat(aU,";\n  float a2 = ").concat(iU,";\n  float a3 = ").concat(oU,";\n  float a4 = ").concat(sU,";\n  float a5 = ").concat(uU,";\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n")}),$ne={kernelName:VE,backendName:"webgl",kernelFunc:Qne},ere=pee({opSnippet:"if (isnan(x)) return x;\n  return exp(x);\n",packedOpSnippet:"\n  vec4 result = exp(x);\n  bvec4 isNaN = isnan(x);\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",cpuKernelImpl:M7,dtype:"float32"}),tre={kernelName:GE,backendName:"webgl",kernelFunc:ere};function nre(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.dim,i=t.input,o=i.shape.length,s=i.shape.slice(),u=a;return a<0&&(QT(-(o+1)<=a,(function(){return"Axis must be in the interval [".concat(-(o+1),", ").concat(o,"]")})),u=o+a+1),s.splice(u,0,1),wee({inputs:{x:i},backend:r,attrs:{shape:s}})}var rre={kernelName:jE,backendName:"webgl",kernelFunc:nre},are="return exp(x) - 1.0;",ire=pee({opSnippet:are,packedOpSnippet:are,cpuKernelImpl:L7}),ore={kernelName:HE,backendName:"webgl",kernelFunc:ire},sre=c((function e(t,n,r){s(this,e),this.variableNames=["real","imag"];var a=n[1];this.outputShape=n;var i,o=r?"2.0 * ".concat(Math.PI):"-2.0 * ".concat(Math.PI),u=r?"".concat(a,".0"):"1.0";if("real"===t)i="return real * expR - imag * expI;";else{if("imag"!==t)throw new Error('FFT component must be either "real" or "imag", got '.concat(t,"."));i="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = ".concat(o,";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ").concat(i,"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(").concat(a,");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ").concat(u,";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    ")}));function ure(e,t,n){var r=n.texData.get(e.dataId),a=tC(e.shape),i=e.shape[e.shape.length-1],o=wee({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new sre("real",s,t),c=new sre("imag",s,t),l=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:s},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:s}],h=n.runWebGLProgram(u,l,"float32"),p=n.runWebGLProgram(c,l,"float32"),f=aee({inputs:{real:h,imag:p},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p);var d=wee({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),d}var cre={kernelName:qE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return ure(t.input,!1,n)}},lre=c((function e(t,n){s(this,e),this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}));function hre(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||xC(a))){var o=hC(i,tC(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new lre(r,a),u=[[a]];return t.runWebGLProgram(s,[],i,u)}var pre,fre={kernelName:KE,backendName:"webgl",kernelFunc:hre},dre=c((function e(t){s(this,e),this.variableNames=["Image"],this.outputShape=[];var n=t[2];this.outputShape=t,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = ".concat(n," - x - 1;\n          float outputValue;\n          if(coordX >= 0 && coordX < ").concat(n,") {\n            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n          } else {\n            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    ")})),vre={kernelName:XE,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new dre(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},mre="return floor(x);",gre=pee({opSnippet:mre,packedOpSnippet:mre,cpuKernelImpl:z7}),yre={kernelName:YE,backendName:"webgl",kernelFunc:gre},bre=fee({opSnippet:"\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  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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        setOutput(floor(value * 255.0 + 0.5));\n      }\n    ")})),wre=c((function e(t){s(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var n=m8(),r=w(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                       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t=one({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:v});var R=wee({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),R}};var Tre={kernelName:QR,backendName:"webgl",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.dilations,h=r.dimRoundingMode,p=r.activation,f=r.leakyreluAlpha,d=[],v=l;null==v&&(v=[1,1]),QT(JD(u,v),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. 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out_of_bounds = out_of_bounds || index >= ").concat(this.paramsShape[u],";\n          flattenIndex += index * ").concat(this.strides[u],";");this.userCode="\n         void main() {\n          ".concat(i," coords = getOutputCoords();\n          int flattenIndex = 0;\n          bool out_of_bounds = false;\n\n          ").concat(o,"\n\n          setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n        }\n      ")}));var Ere={kernelName:$E,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=tC(r.shape),u=w(yV(r,a),4),c=u[0],l=u[1],h=u[2],p=u[3],f=wee({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),d=wee({inputs:{x:r},backend:n,attrs:{shape:[tC(r.shape)/h,h]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var v=n.readSync(a.dataId),m=n.bufferSync(r),g=P7(v,m,r.dtype,l,o,h,p,r.shape,s);return n.makeTensorInfo(c,r.dtype,g.values)}var y=new Cre(o,p,[l,h],r.shape),b=n.runWebGLProgram(y,[d,f],d.dtype),x=wee({inputs:{x:b},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},Are=c((function e(t,n){s(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=V8(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 Rre(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=uC(o,a.shape)[0];if(BC().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var e=c[p];QT(e<=l-1&&e>=0,(function(){return"GatherV2: the index value ".concat(e," is not in [0, ").concat(l-1,"]")}))},p=0;p<c.length;++p)h();var f=WU(a,i,u,s),d=tC(i.shape),v=[],m=wee({inputs:{x:a},backend:n,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),g=wee({inputs:{x:i},backend:n,attrs:{shape:[f.batchSize,d/f.batchSize]}});v.push(m),v.push(g);var y=[f.batchSize,f.outerSize,d/f.batchSize,f.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var b=n.bufferSync(g),x=n.bufferSync(m),k=B7(x,b,y);return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(f.outputShape,k.dtype,k.values)}var w=new Are(m.shape,y),I=n.runWebGLProgram(w,[m,g],m.dtype);v.push(I);var N=wee({inputs:{x:I},backend:n,attrs:{shape:f.outputShape}});return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),N}var _re={kernelName:QE,backendName:"webgl",kernelFunc:Rre},Ore=fee({opSnippet:"return float(a > b);",packedOpSnippet:"\n  return vec4(greaterThan(a, b));\n",cpuKernelImpl:W7,dtype:"bool"}),Fre={kernelName:eA,backendName:"webgl",kernelFunc:Ore},Dre=fee({opSnippet:"return float(a >= b);",packedOpSnippet:"\n  return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:V7}),Mre={kernelName:tA,backendName:"webgl",kernelFunc:Dre};var Lre={kernelName:rA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return ure(t.input,!0,n)}},zre=pee({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),Pre={kernelName:iA,backendName:"webgl",kernelFunc:zre},Bre=pee({opSnippet:"return float(isinf(x));",dtype:"bool"}),Wre={kernelName:oA,backendName:"webgl",kernelFunc:Bre},Vre=pee({opSnippet:"return float(isnan(x));",dtype:"bool"}),Ure={kernelName:sA,backendName:"webgl",kernelFunc:Vre},Gre=fee({opSnippet:"return float(a < b);",packedOpSnippet:"\n  return vec4(lessThan(a, b));\n",cpuKernelImpl:U7,dtype:"bool"}),jre={kernelName:cA,backendName:"webgl",kernelFunc:Gre},Hre=fee({opSnippet:"return float(a <= b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:G7,dtype:"bool"}),qre={kernelName:lA,backendName:"webgl",kernelFunc:Hre};var Kre={kernelName:hA,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=j7(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},Xre=pee({opSnippet:"if (isnan(x)) return x;\n  return x < 0.0 ? 0./0. : log(x);\n",packedOpSnippet:"\n  vec4 result = log(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n  return result;\n",cpuKernelImpl:H7}),Yre={kernelName:pA,backendName:"webgl",kernelFunc:Xre},Jre=pee({opSnippet:"if (isnan(x)) return x;\n  return log(1.0 + x);\n"}),Zre={kernelName:fA,backendName:"webgl",kernelFunc:Jre},Qre=fee({opSnippet:"return 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"}),$re={kernelName:dA,backendName:"webgl",kernelFunc:Qre},eae=pee({opSnippet:"return float(!(x >= 1.0));"}),tae={kernelName:vA,backendName:"webgl",kernelFunc:eae},nae=fee({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"}),rae={kernelName:mA,backendName:"webgl",kernelFunc:nae},aae=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["x"],this.outputShape=[];var o,u=n,c=t[3]-1;this.outputShape=t;var l="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(l,")"):1===i?"1.0/(".concat(l,")"):"exp(log(".concat(l,") * 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(u,"; j <= ").concat(u,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(c,") {\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    ")})),iae=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,u=n,c=t[3]-1;this.outputShape=t;var l="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(l,")"):1===i?"1.0/(".concat(l,")"):"exp(log(".concat(l,") * 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(u,";\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(u,"; j <= ").concat(u,"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(").concat(c,"));\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            cache.xy = z.yw;\n          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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    ")})),uae={kernelName:bA,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 sae(a.shape,s,u,c,l);return n.runWebGLProgram(h,[a,i,o],a.dtype)}};function cae(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=uC(i,a.shape),c=u,l=rL(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 g=x9(d,a.shape,a.dtype,l,v);f=n.makeTensorInfo(v,a.dtype),n.texData.get(f.dataId).values=g}else f=Aee(a,l,n);c=iL(c.length,s)}nL("max",c,s);var y,b=w(eL(f.shape,c),2),x=b[0],k=b[1],I=x;if(o&&(I=tL(x,u)),p){var N=n.texData.get(f.dataId).values,S=q7(N,tC(k),I,a.dtype);y=n.makeTensorInfo(I,a.dtype),n.texData.get(y.dataId).values=S}else y=function(e,t,n,r){var a=tC(t),i=wee({inputs:{x:e},attrs:{shape:[tC(e.shape)/a,a]},backend:r}),o=Tee(i,e.dtype,"max",r),s=wee({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,k,I,n);return h&&n.disposeIntermediateTensorInfo(f),y}var lae={kernelName:xA,backendName:"webgl",kernelFunc:cae},hae=fee({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(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",cpuKernelImpl:K7}),pae={kernelName:kA,backendName:"webgl",kernelFunc:hae};var fae={kernelName:wA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;f8(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;QT(JD(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=PD(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&nC(c.inShape,c.outShape))return nee({inputs:{x:a},backend:n});var l=new fte(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var dae={kernelName:NA,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=BD(a.shape,i,o,[1,1,1],s,c,u),h=new dte(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},vae=c((function e(t){s(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,u=i-1-t.padInfo.top,c=o-1-t.padInfo.left,l=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(u,", ").concat(c,");\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(l," - 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    ")})),mae=c((function e(t){s(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,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=c-1-t.padInfo.front,f=l-1-t.padInfo.top,d=h-1-t.padInfo.left,v=c*l*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(c,";\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(l,";\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(u,") {\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(l," * ").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 ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:X7}),Iae={kernelName:AA,backendName:"webgl",kernelFunc:wae},Nae=c((function e(t,n,r){s(this,e),this.variableNames=["x"],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=V8(a),o=n.map((function(e){return e[0]})).join(","),u=n.map((function(e,n){return e[0]+t[n]})).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l="reflect"===r?0:1;this.userCode=1!==a?"\n      ".concat(i," start = ").concat(i,"(").concat(o,");\n      ").concat(i," end = ").concat(i,"(").concat(u,");\n\n      void main() {\n        ").concat(i," outC = getOutputCoords();\n        for (int i = 0; i < ").concat(a,"; i++) {\n          if (outC[i] < start[i]) {\n            outC[i] = start[i] * 2 - outC[i] - ").concat(l,";\n          } else if(outC[i] >= end[i]) {\n            outC[i] = (end[i] - 1) * 2 - outC[i] + ").concat(l,";\n          }\n        }\n        ").concat(i," coords = outC - start;\n        setOutput(getX(").concat(c,"));\n      }\n    "):"\n        int start = ".concat(o,";\n        int end = ").concat(u,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start) {\n            outC = start * 2 - outC - ").concat(l,";\n          } else if(outC >= end) {\n            outC = (end - 1) * 2 - outC + ").concat(l,";\n          }\n          setOutput(getX(outC - start));\n        }\n      ")})),Sae=c((function e(t,n,r){s(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=V8(a),o=n.map((function(e){return e[0]})).join(","),u=n.map((function(e,n){return e[0]+t[n]})).join(","),c=I9("rc",a),l=I9("source",a),h="".concat(c[a-1]," < ").concat(this.outputShape[a-1]),p=1===a?"source":"vec2(".concat(l.slice(-2).join(),")"),f="reflect"===r?0:1,d="";if(1===a){var v="\n        ".concat(i," source = rc;\n        if (source < start) {\n          source = start * 2 - source - ").concat(f,";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + ").concat(f,";\n        }\n        source -= start;\n      ");d="\n        ".concat(i," rc = outputLoc;\n        ").concat(v,"\n        result[0] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n        ").concat(c[a-1]," += 1;\n        if(").concat(h,") {\n          ").concat(v,"\n          result[1] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n        }\n      ")}else{var m="\n        ".concat(i," source = rc;\n        ").concat(i," lt = ").concat(i,"(lessThan(source, start));\n        ").concat(i," gte = ").concat(i,"(greaterThanEqual(source, end));\n        ").concat(i," orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - ").concat(f,") +\n                gte * ((end - 1) * 2 - source + ").concat(f,");\n        source -= start;\n      ");d="\n        ".concat(i," rc = outputLoc;\n        ").concat(m,"\n        result[0] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n        ").concat(c[a-1]," += 1;\n        if(").concat(h,") {\n          ").concat(m,"\n          result[1] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n        }\n        rc = outputLoc;\n        ").concat(c[a-2]," += 1;\n        if(").concat(c[a-2]," < ").concat(this.outputShape[a-2],") {\n          ").concat(m,"\n          result[2] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n          ").concat(c[a-1]," += 1;\n          if(").concat(h,") {\n            ").concat(m,"\n            result[3] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n          }\n        }\n      ")}this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(u,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(d,"\n        setOutput(result);\n      }\n    ")})),Tae={kernelName:RA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode,s=BC().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Sae(a.shape,i,o):new Nae(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},Cae=fee({opSnippet:"if (b == 0.0) return NAN;\n  return mod(a, b);",packedOpSnippet:"\n  vec4 result = mod(a, b);\n  bvec4 isNaN = equal(b, vec4(0.0));\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"}),Eae={kernelName:_A,backendName:"webgl",kernelFunc:Cae},Aae=c((function e(t,n,r){s(this,e),this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,r],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ".concat(n-1,"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(").concat(n-1,"));\n      }\n    ")})),Rae=fee({opSnippet:"\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",checkOutOfBounds:!0}),_ae={kernelName:zE,backendName:"webgl",kernelFunc:Rae},Oae="return a - b;",Fae=fee({opSnippet:Oae,packedOpSnippet:Oae,supportsComplex:!0,cpuKernelImpl:g9}),Dae={kernelName:LR,backendName:"webgl",kernelFunc:Fae};function Mae(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=uC([r.dim],a.shape),o=cae({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=tL(o.shape,i),u=wee({inputs:{x:o},backend:n,attrs:{shape:s}}),c=Fae({inputs:{a:a,b:u},backend:n}),l=ere({inputs:{x:c},backend:n}),h=Ree({inputs:{x:l},backend:n,attrs:{axis:i,keepDims:!1}}),p=wee({inputs:{x:h},backend:n,attrs:{shape:s}}),f=Rae({inputs:{a:l,b:p},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}var Lae={kernelName:IR,backendName:"webgl",kernelFunc:Mae};var zae={kernelName:OA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.numSamples,o=r.seed,s=r.normalized,u=s?a:Mae({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),c=u.shape[0],l=u.shape[1],h=new Aae(c,l,i),p=[[o]],f=n.runWebGLProgram(h,[u],"int32",p);return s||n.disposeIntermediateTensorInfo(u),f}};var Pae={kernelName:DA,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])){var i=r.texData.get(a.dataId),o=w(J7(i.values,a.shape,a.dtype),2),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=BC().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new j9(a.shape,"\n  vec4 result = -x;\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"):new R9(a.shape,"if (isnan(x)) return x;\n  return -x;\n"),r.runWebGLProgram(t,[a],a.dtype)}},Bae=DB;var Wae={kernelName:LA,backendName:"webgl",kernelFunc:function(e){$R("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=Bae(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},Vae=MB;var Uae={kernelName:zA,backendName:"webgl",kernelFunc:function(e){$R("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");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,l=n.readSync(a.dataId),h=n.readSync(i.dataId),p=Vae(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]))]}},Gae=LB;var jae={kernelName:PA,backendName:"webgl",kernelFunc:function(e){$R("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");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,l=n.readSync(a.dataId),h=n.readSync(i.dataId),p=Gae(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))]}},Hae=c((function e(t,n,r,a){s(this,e),this.variableNames=["indices"],this.outputShape=[t,n],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(".concat(a,"), float(").concat(r,"),\n                      float(index == coords.y)));\n      }\n    ")})),qae={kernelName:WA,backendName:"webgl",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,c=tC(a.shape),l=new Hae(c,o,s,u),h=wee({inputs:{x:a},backend:n,attrs:{shape:[c]}}),p=n.runWebGLProgram(l,[h],i);n.disposeIntermediateTensorInfo(h);var f=wee({inputs:{x:p},backend:n,attrs:{shape:[].concat(I(a.shape),[o])}});return n.disposeIntermediateTensorInfo(p),f}};function Kae(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=Mte({inputs:{input:r},backend:n}),i=Kae({inputs:{x:a},backend:n}),o=Jte({inputs:{input:r},backend:n}),s=Kae({inputs:{x:o},backend:n}),u=aee({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return hre({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var Xae={kernelName:qR,backendName:"webgl",kernelFunc:Kae};var Yae={kernelName:BA,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=Mte({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=Jte({inputs:{input:a},backend:r}),u=Kae({inputs:{x:s},backend:r}),c=aee({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),c}return hre({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var Jae={kernelName:VA,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return nre({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){$T(a,e.shape,"All tensors passed to stack must have matching shapes"),QT(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=$te({inputs:t.map((function(e){var t=nre({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}},Zae=c((function e(t,n,r){s(this,e),this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=V8(a),o=n.map((function(e){return e[0]})).join(","),u=n.map((function(e,n){return e[0]+t[n]})).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);this.userCode=1!==a?"\n      ".concat(i," start = ").concat(i,"(").concat(o,");\n      ").concat(i," end = ").concat(i,"(").concat(u,");\n\n      void main() {\n        ").concat(i," outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(value);\n        } else {\n          ").concat(i," coords = outC - start;\n          setOutput(getX(").concat(c,"));\n        }\n      }\n    "):"\n        int start = ".concat(o,";\n        int end = ").concat(u,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(value);\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      ")})),Qae=c((function e(t,n,r){s(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));for(var a=t.length,i=V8(a),o=n.map((function(e){return e[0]})).join(","),u=n.map((function(e,n){return e[0]+t[n]})).join(","),c=I9("rc",a),l=I9("source",a),h="".concat(c[a-1]," < ").concat(this.outputShape[a-1]),p=1===a?"source":"vec2(".concat(l.slice(-2).join(),")"),f=["".concat(i," rc = outputLoc;"),"".concat(c[a-1]," += 1;\n       if(").concat(h,") {\n      "),1===a?"":"}\n       rc = outputLoc;\n       ".concat(c[a-2]," += 1;\n       if(").concat(c[a-2]," < ").concat(this.outputShape[a-2],") {"),1===a?"":"  ".concat(c[a-1]," += 1;\n         if(").concat(h,") {")],d=1===a?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",v="",m=0,g=1===a?2:4;m<g;m++)v+="\n        ".concat(f[m],"\n        if (").concat(d,") {\n          result[").concat(m,"] = float(value);\n        } else {\n          ").concat(i," source = rc - start;\n          result[").concat(m,"] = getChannel(getX(").concat(l.join(),"), ").concat(p,");\n        }\n      ");v+=1===a?"} ":"}}",this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(u,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(v,"\n        setOutput(result);\n      }\n    ")})),$ae=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===tC(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return hre({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=BC().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Qae(a.shape,i,o):new Zae(a.shape,i,o),c=[[o]];return n.runWebGLProgram(u,[a],a.dtype,c)},eie={kernelName:UA,backendName:"webgl",kernelFunc:$ae},tie=fee({opSnippet:"\n  if(a < 0.0 && floor(b) < b){\n    return NAN;\n  }\n  if (b == 0.0) {\n    return 1.0;\n  }\n  return (round(mod(b, 2.0)) != 1) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  bvec4 isNaN1 = lessThan(a, vec4(0.0));\n  bvec4 isNaN2 = lessThan(floor(b), b);\n  bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.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"}),nie={kernelName:GA,backendName:"webgl",kernelFunc:tie};var rie={kernelName:HA,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,c=[],l=uC(o,i.shape),h=l,p=rL(h,u),f=i;if(null!=p&&(f=Oee({inputs:{x:i},backend:r,attrs:{perm:p}}),h=iL(h.length,u),c.push(f)),nL("prod",h,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,v=Q7(f.shape,f.dtype,d,h),m=v.outVals,g=v.outShape,y=v.outDtype;t=r.makeTensorInfo(g,y,m)}else{var b=w(eL(f.shape,h),2),x=b[0],k=tC(b[1]),I=wee({inputs:{x:f},backend:r,attrs:{shape:[-1,k]}}),N=Tee(I,CO(i.dtype),"prod",r);t=wee({inputs:{x:N},backend:r,attrs:{shape:x}}),c.push(I),c.push(N)}if(s){c.push(t);var S=tL(t.shape,l);t=wee({inputs:{x:t},backend:r,attrs:{shape:S}})}return c.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var aie={kernelName:qA,backendName:"webgl",kernelFunc:function(e){var 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=w($7(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 iie={kernelName:KA,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=w(e9(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 oie={kernelName:XA,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=w(t9(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)}},sie=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=n9(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},uie={kernelName:YA,backendName:"webgl",kernelFunc:sie},cie=pee({opSnippet:"return 1.0 / x;"}),lie={kernelName:ZA,backendName:"webgl",kernelFunc:cie},hie=pee({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"}),pie={kernelName:QA,backendName:"webgl",kernelFunc:hie},fie=pee({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"}),die={kernelName:aR,backendName:"webgl",kernelFunc:fie},vie=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["A"],this.outputShape=[];var o=w(t,4),u=o[0],c=o[1],l=o[2],h=o[3];this.outputShape=[u,n,r,h];var p,f=[a&&n>1?c-1:c,a&&r>1?l-1:l],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(c,".0, ").concat(l,".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    ")})),mie=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=w(t,4),u=o[0],c=o[1],l=o[2],h=o[3];this.outputShape=[u,n,r,h];var p,f=[a&&n>1?c-1:c,a&&r>1?l-1:l],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(c,".0, ").concat(l,".0,\n                                     ").concat(l,".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 gie={kernelName:nR,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=w(r.size,2),u=s[0],c=s[1],l=BC().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new mie(a.shape,u,c,i,o):new vie(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},yie=c((function e(t,n,r){s(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=w(n,3),i=a[1],o=a[2],u=w(t,3),c=u[1],l=u[2],h=[r&&c>1?i-1:i,r&&l>1?o-1:o],p=[r&&c>1?c-1:c,r&&l>1?l-1:l],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(c,") {\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(l,") {\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 bie={kernelName:rR,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 yie(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},xie=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["A"],this.outputShape=[];var o=w(t,4),u=o[0],c=o[1],l=o[2],h=o[3];this.outputShape=[u,n,r,h];var p,f=[a&&n>1?c-1:c,a&&r>1?l-1:l],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(c,".0, ").concat(l,".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    ")})),kie=c((function e(t,n,r,a,i){s(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=w(t,4),u=o[0],c=o[1],l=o[2],h=o[3];this.outputShape=[u,n,r,h];var p,f=[a&&n>1?c-1:c,a&&r>1?l-1:l],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(c,".0, ").concat(l,".0,\n                                     ").concat(l,".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 wie={kernelName:eR,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=w(r.size,2),u=s[0],c=s[1],l=BC().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new kie(a.shape,u,c,i,o):new xie(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},Iie=c((function e(t,n,r){s(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=w(n,3),i=a[1],o=a[2],u=w(t,3),c=u[1],l=u[2],h=[r&&c>1?i-1:i,r&&l>1?o-1:o],p=[r&&c>1?c-1:c,r&&l>1?l-1:l],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(c,") {\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(l,") {\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 Nie={kernelName:tR,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 Iie(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},Sie=c((function e(t,n){s(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=V8(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      ")})),Tie=c((function e(t,n){s(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=I9("rc",r),i="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),o="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),u=V8(r);function c(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 main() {\n          ".concat(u," rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ").concat(function(e){return c(e)}(a.slice()),";\n          if(").concat(i,"){\n            result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",c(e)}(a.slice()),";\n          }\n          if(").concat(o,") {\n            result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",c(e)}(a.slice()),";\n            if(").concat(i,") {\n              result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",c(e)}(a.slice()),";\n            }\n          }\n          setOutput(result);\n        }\n    ")}));var Cie={kernelName:iR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=uC(i,a.shape);if(0===o)return nee({inputs:{x:a},backend:n});var u=BC().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Tie(a.shape,s):new Sie(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},Eie=c((function e(t,n){s(this,e),this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var r=t[1],a=t[2];this.outputShape=t;var i="";i="number"==typeof n?"float outputValue = ".concat(n.toFixed(2),";"):"\n        vec3 fill = vec3(".concat(n.join(","),");\n        float outputValue = fill[coords[3]];"),this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - params[0]) * params[3] -\n            (float(y) - params[1]) * params[2];\n          float coordYFloat = (float(x) - params[0]) * params[2] +\n            (float(y) - params[1]) * params[3];\n          int coordX = int(round(coordXFloat + params[0]));\n          int coordY = int(round(coordYFloat + params[1]));\n          ".concat(i,"\n          if(coordX >= 0 && coordX < ").concat(a," && coordY >= 0 && coordY < ").concat(r,") {\n            outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    ")})),Aie={kernelName:YR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,c=new Eie(a.shape,o),l=w(YV(s,a.shape[1],a.shape[2]),2),h=[[l[0],l[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(c,[a],a.dtype,h)}},Rie=pee({opSnippet:"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n"}),_ie={kernelName:oR,backendName:"webgl",kernelFunc:Rie},Oie=pee({opSnippet:"return inversesqrt(x);",cpuKernelImpl:r9}),Fie={kernelName:sR,backendName:"webgl",kernelFunc:Oie},Die=c((function e(t,n,r,a,i,o){var u=arguments.length>7&&void 0!==arguments[7]&&arguments[7];s(this,e),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var c=V8(i.length),l=V8(o.length),h="";1===r?h="i":2===r&&(h="i, j");var p="getIndices(".concat(h,")"),f="";1===a?f="i":2===a&&(f="i, coords[1]");var d="getUpdates(".concat(f,")"),v="";u&&(v="coords[0], coords[1]");var m="getDefaultValue(".concat(v,")"),g=n>1?"strides[j]":"strides";this.userCode="\n        ".concat(c," strides = ").concat(c,"(").concat(i,");\n\n        void main() {\n          ").concat(l," coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ").concat(t,"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ").concat(n,"; j++) {\n              int index = round(").concat(p,");\n              flattenedIndex += index * ").concat(g,";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ").concat(d,";\n              found = true;\n            }\n          }\n          setOutput(mix(").concat(m,", sum, float(found)));\n        }\n      ")})),Mie=c((function e(t,n,r,a,i,o){var u=arguments.length>7&&void 0!==arguments[7]&&arguments[7];s(this,e),this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o;var c=V8(i.length),l=V8(o.length),h="";1===r?h="i":2===r&&(h="i, j");var p="getIndices(".concat(h,")"),f="";1===a?f="i":2===a&&(f="i, coords[1]");var d="getUpdates(".concat(f,")"),v="";u&&(v="coords[0], coords[1]");var m="getDefaultValue(".concat(v,")"),g=n>1?"strides[j]":"strides",y=n>1?"strides[j + 1]":"strides";this.userCode="\n        ".concat(c," strides = ").concat(c,"(").concat(i,");\n\n        void main() {\n          ").concat(l," coords = getOutputCoords();\n          vec4 sum = vec4(0.);\n          vec4 found = vec4(0.);\n          for (int i = 0; i < ").concat(t,"; i+=2) {\n            ivec2 flattenedIndex = ivec2(0);\n            for (int j = 0; j < ").concat(n,"; j+=2) {\n              ivec4 index = round(").concat(p,");\n              flattenedIndex += index.xz * ").concat(g,";\n              if (j + 1 < ").concat(n,") {\n                flattenedIndex += index.yw * ").concat(y,";\n              }\n            }\n            if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] ||\n                flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) {\n              vec4 updVals = ").concat(d,";\n              if (flattenedIndex[0] == coords[0]) {\n                sum.xy += updVals.xy;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[0] == coords[0] + 1) {\n                sum.zw += updVals.xy;\n                found.zw = vec2(1.);\n              }\n              if (flattenedIndex[1] == coords[0]) {\n                sum.xy += updVals.zw;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[1] == coords[0] + 1) {\n                sum.zw += updVals.zw;\n                found.zw = vec2(1.);\n              }\n            }\n          }\n          setOutput(mix(").concat(m,", sum, found));\n        }\n      ")}));var Lie={kernelName:uR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=BP(0,a,o),u=s.sliceRank,c=s.numUpdates,l=s.sliceSize,h=s.strides,p=s.outputSize,f=[p/l,l];if(0===p)return n.makeTensorInfo(o,a.dtype);var d,v=wee({inputs:{x:a},backend:n,attrs:{shape:[c,u]}}),m=wee({inputs:{x:i},backend:n,attrs:{shape:[c,l]}}),g=n.makeTensorInfo([],"float32",new Float32Array([0]));d=BC().getBool("WEBGL_PACK")?new Mie(c,u,v.shape.length,m.shape.length,h,f):new Die(c,u,v.shape.length,m.shape.length,h,f);var y=n.runWebGLProgram(d,[m,v,g],m.dtype),b=wee({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(g),b}},zie=c((function e(t,n,r,a){s(this,e),this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,r];var i="for (int i = 0; i < ".concat(Math.ceil(Math.log2(n+1)),"; ++i) { if (left >= right) break;"),o=2===BC().getNumber("WEBGL_VERSION")?"while (left < right) {":i,u="left"===a?"<":"<=";this.userCode="\n       int findBound(int batch, float value) {\n         int left = 0;\n         int right = numInputs;\n         int mid;\n         ".concat(o,"\n           mid = (left + right) / 2;\n           if (getSortedSequence(batch, mid) ").concat(u," value) {\n             left = mid + 1;\n           } else {\n             right = mid;\n           }\n         }\n         return right;\n       }\n\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int valueIndex = coords[1];\n\n         float value = getValues(batch, valueIndex);\n\n         setOutput(float(findBound(batch, value)));\n       }\n     ")}));var Pie={kernelName:lR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sortedSequence,i=t.values,o=r.side,s=new zie(a.shape[0],a.shape[1],i.shape[1],o),u=[[a.shape[1]]];return n.runWebGLProgram(s,[a,i],"int32",u)}},Bie=c((function e(t,n,r){var a,i;if(s(this,e),this.variableNames=["c","a","b"],this.outputShape=n,r>4)throw Error("Where for rank ".concat(r," is not yet supported"));if(1===r)i="resRC",a="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],u=[],c=[],l=0;l<n.length;l++)c.push("".concat(o[l])),l<t&&u.push("".concat(o[l]));a=u.join(),i=c.join()}var h=V8(r);this.userCode="\n      void main() {\n        ".concat(h," resRC = getOutputCoords();\n        float cVal = getC(").concat(a,");\n        if (cVal >= 1.0) {\n          setOutput(getA(").concat(i,"));\n        } else {\n          setOutput(getB(").concat(i,"));\n        }\n      }\n    ")}));var Wie={kernelName:hR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new Bie(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],TO(a.dtype,i.dtype))}},Vie=pee({opSnippet:"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ".concat(tU,";\n  float scale = ").concat(nU,";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n")}),Uie={kernelName:pR,backendName:"webgl",kernelFunc:Vie},Gie=pee({opSnippet:"if (isnan(x)) return x;\n  return 1.0 / (1.0 + exp(-1.0 * x));\n",packedOpSnippet:"\n  vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\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 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t=e.inputs,n=e.backend,r=t.inputIndices,a=t.inputShape,i=t.newShape;if(2!==r.shape.length)throw new Error("Input indices should be a matrix but received shape ".concat(r.shape));if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape ".concat(a.shape));if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape ".concat(i.shape));var o=Array.from(n.readSync(a.dataId)),s=n.readSync(r.dataId),u=Array.from(n.readSync(i.dataId)),c=w(c9(s,r.shape,r.dtype,o,u),3),l=c[0],h=c[1],p=c[2];return[n.makeTensorInfo(h,r.dtype,l),n.makeTensorInfo([p.length],i.dtype,new Int32Array(p))]}};var noe={kernelName:TR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n              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a=r.length,i=V8(r.length),o=V8(r.length),u="";if(1===a)u="coords * strides + begin";else{var c=0;u=r.map((function(e,t){return c++,1===r.length?"coords * strides[".concat(t,"] + begin[").concat(t,"]"):"coords[".concat(c-1,"] * strides[").concat(t,"] + begin[").concat(t,"]")})).join(",")}this.userCode="\n      ".concat(i," begin = ").concat(i,"(").concat(t,");\n      ").concat(i," strides = ").concat(i,"(").concat(n,");\n\n      void main() {\n        ").concat(o," coords = getOutputCoords();\n        setOutput(getX(").concat(u,"));\n      }\n    ")}));var moe={kernelName:OR,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.begin,s=a.end,u=a.strides,c=a.beginMask,l=a.endMask,h=a.ellipsisMask,p=a.newAxisMask,f=a.shrinkAxisMask,d=FV(i.shape,o,s,u,c,l,h,p,f),v=d.finalShapeSparse,m=d.finalShape,g=d.isIdentity,y=d.sliceDim0,b=d.isSimpleSlice,x=d.begin,k=d.end,w=d.strides;if(g)t=wee({inputs:{x:i},backend:r,attrs:{shape:m}});else if(y||b){QT(i.shape.length>=1,(function(){return"Input must have rank at least 1, got: ".concat(i.shape.length)}));var I=kV(x,k,w),N=Ete({inputs:{x:i},backend:r,attrs:{begin:x,size:I}});t=wee({inputs:{x:N},backend:r,attrs:{shape:m}}),r.disposeIntermediateTensorInfo(N)}else{if(r.shouldExecuteOnCPU([i])){var S=r.readSync(i.dataId),T=sD(i.shape,i.dtype,S),C=f9(v,T,w,x);t=r.makeTensorInfo(m,i.dtype,C.values)}else{var E=new voe(x,w,v);t=r.runWebGLProgram(E,[i],i.dtype)}}var A=wee({inputs:{x:t},backend:r,attrs:{shape:m}});return r.disposeIntermediateTensorInfo(t),A}};var goe={kernelName:FR,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,c=r.preserveShortSequences,l=t.data,h=t.dataSplits,p=n.readSync(l.dataId),f=n.readSync(h.dataId),d=w(d9(p,f,a,i,o,s,u,c),2),v=d[0],m=d[1];return[n.makeTensorInfo([v.length],"string",v),n.makeTensorInfo(h.shape,"int32",m)]}};var yoe={kernelName:DR,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=w(v9(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 boe={kernelName:MR,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=m9(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},xoe=pee({opSnippet:"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 Roe(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function _oe(e){for(var t=1;t<e;)t*=2;return t}var Ooe={kernelName:WR,backendName:"webgl",kernelFunc:function(e){var 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A=k;A>x;A/=2){var R=N(),_=new Aoe([y,A/2]),O=[[l],[null===I?1:0],[x]],F=I;I=n.runWebGLProgram(_,R,"int32",O),Roe(n,F);for(var D=x/2,M=2*D,L=D;L>=1;L/=2)S(M,L,I.shape)}var z=I;I=Ete({inputs:{x:I},backend:n,attrs:{begin:0,size:[y,i]}}),Roe(n,z);var P=Rre({inputs:{x:b,indices:I},backend:n,attrs:{axis:1,batchDims:1}});Roe(n,b);var B=c.slice(0,-1);B.push(i),z=I,I=wee({inputs:{x:I},attrs:{shape:B},backend:n}),Roe(n,z);var W=P;return P=wee({inputs:{x:P},attrs:{shape:B},backend:n}),Roe(n,W),[P,I]}},Foe=c((function e(t,n,r,a,i,o){s(this,e),this.variableNames=["Image","Transforms"],this.outputShape=o;var u,c="nearest"===r?1:2;switch(a){case"constant":default:u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if(".concat(u," == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    if (inCoord < sz2) {\n                      inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n                      inCoord;\n                    }\n                    inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    inCoord -= sz2 * float(int(float(inCoord / sz2)));\n                    if (inCoord >= len) {\n                      inCoord = sz2 - inCoord - 1.0;\n                    }\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if (").concat(u," == 3) {\n                if (inCoord < 0.0) {\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))) + 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(u," == 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(c," == 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 Doe={kernelName:VR,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=w(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=w(null!=c?c:[p,f],2),m=v[0],g=v[1],y=new Foe(p,f,o,s,u,[h,m,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var Moe={kernelName:GR,backendName:"webgl",kernelFunc:function(e){var 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r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.numSegments,u=o*Math.ceil(i/r);this.outputShape=[a,u];var c=4*Math.floor(r/4),l=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(c,"; 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(c,";\n        if (").concat(1===l,") {\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===l,") {\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===l,") {\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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