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/**
* @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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Mw(e,t,n,r){return function(e,t,n,r,a,i){a=a.add(e),i=Fw(i.add(a).add(r),21);var o=a;return a=(a=a.add(t)).add(n),i=i.add(Fw(a,44)),[a.add(r),i.add(o)]}(_w(e,t),_w(e,t+8),_w(e,t+16),_w(e,t+24),n,r)}function Lw(e,t){void 0===t&&(t=e.length);var n=Iw.fromNumber(81,!0);if(t<=32)return t<=16?function(e,t){if(void 0===t&&(t=e.length),t>=8){var n=Ew.add(2*t),r=_w(e,0).add(Ew),a=_w(e,t-8);return Dw(Fw(a,37).mul(n).add(r),Fw(r,25).add(a).mul(n),n)}if(t>=4){var i=Ew.add(2*t);return Dw(Ow(e,0).shl(3).add(t),Ow(e,t-4),i)}if(t>0){var o=e[0]+(e[t>>1]<<8),s=t+(e[t-1]<<2);return Aw(Ew.mul(o).xor(Tw.mul(s))).mul(Ew)}return Ew}(e,t):function(e,t){void 0===t&&(t=e.length);var n=Ew.add(2*t),r=_w(e,0).mul(Cw),a=_w(e,8),i=_w(e,t-8).mul(n),o=_w(e,t-16).mul(Ew);return Dw(Fw(r.add(a),43).add(Fw(i,30)).add(o),r.add(Fw(a.add(Ew),18)).add(i),n)}(e,t);if(t<=64)return function(e,t){void 0===t&&(t=e.length);var 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o="complex64"===n?2:1,s=t[0],u=t.length;if(0===u)return"complex64"===n?[Yw(Qw(e)[0],0,n)]:"bool"===n?[Jw(e[0])]:[e[0].toString()];if(1===u){if(s>20){var l=3*o,c=Array.from(e.slice(0,l)),p=Array.from(e.slice((s-3)*o,s*o));return"complex64"===n&&(c=Qw(c),p=Qw(p)),["["+c.map((function(e,t){return Yw(e,a[t],n)})).join(", ")+", ..., "+p.map((function(e,t){return Yw(e,a[s-3+t],n)})).join(", ")+"]"]}return["["+("complex64"===n?Qw(e):Array.from(e)).map((function(e,t){return Yw(e,a[t],n)})).join(", ")+"]"]}var h=t.slice(1),f=r.slice(1),d=r[0]*o,m=[];if(s>20){for(var v=0;v<3;v++){var g=v*d,y=g+d;m.push.apply(m,Zw(e.slice(g,y),h,n,f,a,!1))}m.push("...");for(var b=s-3;b<s;b++){var x=b*d,w=x+d;m.push.apply(m,Zw(e.slice(x,w),h,n,f,a,b===s-1))}}else for(var k=0;k<s;k++){var N=k*d,I=N+d;m.push.apply(m,Zw(e.slice(N,I),h,n,f,a,k===s-1))}var S=2===u?",":"";m[0]="["+(s>0?m[0]+S:"");for(var T=1;T<m.length-1;T++)m[T]=" "+m[T]+S;for(var C=",\n",E=2;E<u;E++)C+="\n";return m[m.length-1]=" "+m[m.length-1]+"]"+(i?"":C),m}function Qw(e){for(var t=[],n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var $w=function(){function e(e,t,n){var r=this;if(this.dtype=t,this.shape=e.slice(),this.size=Xv(e),null!=n){var a=n.length;Hv(a===this.size,(function(){return"Length of values '"+a+"' does not match the size inferred by the shape '"+r.size+"'."}))}if("complex64"===t)throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||ag(t,this.size),this.strides=vg(e)}var t=e.prototype;return t.set=function(e){for(var t=this,n=arguments.length,r=new Array(n>1?n-1:0),a=1;a<n;a++)r[a-1]=arguments[a];0===r.length&&(r=[0]),Hv(r.length===this.rank,(function(){return"The number of provided coordinates ("+r.length+") must match the rank ("+t.rank+")"}));var i=this.locToIndex(r);this.values[i]=e},t.get=function(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];0===t.length&&(t=[0]);for(var r=0,a=0,i=t;a<i.length;a++){var o=i[a];if(o<0||o>=this.shape[r]){var s="Requested out of range element at "+t+". Buffer shape="+this.shape;throw new Error(s)}r++}for(var u=t[t.length-1],l=0;l<t.length-1;++l)u+=this.strides[l]*t[l];return this.values[u]},t.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},t.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},t.toTensor=function(){return ek().makeTensor(this.values,this.shape,this.dtype)},Tv(e,[{key:"rank",get:function(){return this.shape.length}}]),e}(),ek=null,tk=null;var nk=function(){function e(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Xv(e),this.strides=vg(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}var t=e.prototype;return t.buffer=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.data();case 2:return t=e.sent,e.abrupt("return",tk.buffer(this.shape,this.dtype,t));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.bufferSync=function(){return tk.buffer(this.shape,this.dtype,this.dataSync())},t.array=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.data();case 2:return t=e.sent,e.abrupt("return",yg(this.shape,t,"complex64"===this.dtype));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.arraySync=function(){return yg(this.shape,this.dataSync(),"complex64"===this.dtype)},t.data=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.throwIfDisposed(),t=ek().read(this.dataId),"string"!==this.dtype){e.next=13;break}return e.next=5,t;case 5:return n=e.sent,e.prev=6,e.abrupt("return",n.map((function(e){return Uw(e)})));case 10:throw e.prev=10,e.t0=e.catch(6),new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().");case 13:return e.abrupt("return",t);case 14:case"end":return e.stop()}}),e,this,[[6,10]])})));return function(){return e.apply(this,arguments)}}(),t.dataToGPU=function(e){return this.throwIfDisposed(),ek().readToGPU(this.dataId,e)},t.dataSync=function(){this.throwIfDisposed();var e=ek().readSync(this.dataId);if("string"===this.dtype)try{return e.map((function(e){return Uw(e)}))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e},t.bytes=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.throwIfDisposed(),e.next=3,ek().read(this.dataId);case 3:if(t=e.sent,"string"!==this.dtype){e.next=8;break}return e.abrupt("return",t);case 8:return e.abrupt("return",new Uint8Array(t.buffer));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.dispose=function(){this.isDisposed||(ek().disposeTensor(this),this.isDisposedInternal=!0)},t.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},t.print=function(e){return void 0===e&&(e=!1),tk.print(this,e)},t.clone=function(){return this.throwIfDisposed(),tk.clone(this)},t.toString=function(e){return void 0===e&&(e=!1),Xw(this.dataSync(),this.shape,this.dtype,e)},t.cast=function(e){return this.throwIfDisposed(),tk.cast(this,e)},t.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),ek().makeVariable(this,e,t,n)},Tv(e,[{key:"rank",get:function(){return this.shape.length}},{key:"isDisposed",get:function(){return this.isDisposedInternal}}]),e}();function rk(){return Dg("Tensor",(function(){return nk}))}Object.defineProperty(nk,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),rk();var ak,ik,ok,sk,uk,lk=function(e){function t(t,n,r,a){var i;return(i=e.call(this,t.shape,t.dtype,t.dataId,a)||this).trainable=n,i.name=r,i}Cv(t,e);var n=t.prototype;return n.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!Yv(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");ek().disposeTensor(this),this.dataId=e.dataId,ek().incRef(this,null)},n.dispose=function(){ek().disposeVariable(this),this.isDisposedInternal=!0},t}(nk);Object.defineProperty(lk,Symbol.hasInstance,{value:function(e){return e instanceof nk&&null!=e.assign&&e.assign instanceof Function}}),(ak=e.Rank||(e.Rank={})).R0="R0",ak.R1="R1",ak.R2="R2",ak.R3="R3",ak.R4="R4",ak.R5="R5",ak.R6="R6",function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(ik||(ik={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(ok||(ok={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(sk||(sk={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(uk||(uk={}));var ck={float32:sk,int32:ik,bool:ok,complex64:uk};function pk(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast "+e+" with "+t)}return ck[e][t]}function hk(e){return pk(e,"int32")}function fk(e,t){if(e.dtype===t.dtype)return[e,t];var n=pk(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function dk(e,t){Hv(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function mk(e,t){return t.some((function(t){return t.id===e.id}))}function vk(e){var t=[];return gk(e,t,new Set),t}function gk(e,t,n){if(null!=e)if(e instanceof nk)t.push(e);else if(r=e,Array.isArray(r)||"object"==typeof r){var r,a=e;for(var i in a){var o=a[i];n.has(o)||(n.add(o),gk(o,t,n))}}}var yk={__proto__:null,makeTypesMatch:fk,assertTypesMatch:dk,isTensorInList:mk,getTensorsInContainer:vk};function bk(e){return null!=e.kernelName}var xk=function(){function 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 e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),wk=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new xk}var t=e.prototype;return t.ready=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.backendNames=function(){return Object.keys(this.registryFactory)},t.findBackend=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]},t.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},t.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(jx(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},t.setBackend=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.registryFactory[t]){e.next=2;break}throw new Error("Backend name '"+t+"' not found in registry");case 2:if(this.backendName=t,null!=this.registry[t]){e.next=16;break}if(this.backendInstance=null,n=this.initializeBackend(t),r=n.success,!n.asyncInit){e.next=12;break}return e.next=9,r;case 9:e.t0=e.sent,e.next=13;break;case 12:e.t0=r;case 13:if(e.t0){e.next=16;break}return e.abrupt("return",!1);case 16:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new qw(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.setupRegisteredKernels=function(){var e=this;Yx(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},t.disposeRegisteredKernels=function(e){var t=this;Yx(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},t.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(!r||r instanceof Pv||"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,jx("Initialization of backend "+e+" failed"),jx(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return jx("Initialization of backend "+e+" failed"),jx(t.stack||t.message),{success:!1,asyncInit:!1}}},t.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},t.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.moveData=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]++},t.tidy=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}))},t.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},t.nextTensorId=function(){return e.nextTensorId++},t.nextVariableId=function(){return e.nextVariableId++},t.clone=function(e){var t=Ik.runKernel(Yy,{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 Ik.runKernel(ay,t,n)}}}),[],{}),t},t.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Kx(e,this.backendName)))throw new Error("Kernel '"+e+"' not registered for backend '"+this.backendName+"'");return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})},t.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.checkKernelForMemLeak=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 '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},t.runKernelFunc=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 l=bk(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(bk(e)){var c=e.kernelName,p=e.inputs,h=e.attrs;null==this.backendName&&this.backend;var f=Kx(c,this.backendName);Hv(null!=f,(function(){return"Cannot find registered kernel '"+c+"' for backend '"+a.backendName+"'"})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:p,attrs:h,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(c,p,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,m=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,m)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t),t}}var v,g=e.inputs,y=e.attrs,b=bk(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?(v=a.profiler.profileKernel(l,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(v),t=v.outputs):t=n()})),o&&this.addTapeNode(l,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,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:v.timeMs,extraInfo:v.extraInfo}),Array.isArray(r)?t:t[0]},t.saveTensorsForBackwardMode=function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n},t.getTensorsForGradient=function(e,t,n){var r=Xx(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Hv(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[]},t.makeTensor=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&&cg(e[0])&&(a=e.map((function(e){return Vw(e)})));var i=r.write(a,t,n),o=new nk(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=lg(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.makeTensorFromDataId=function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)},t.makeTensorFromTensorInfo=function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new nk(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i},t.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new lk(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.trackTensor=function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*ug(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 lk||this.track(e)},t.incRef=function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)},t.removeDataId=function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)},t.disposeTensor=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*ug(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}},t.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},t.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},t.memory=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},t.profile=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=Lv(this.state.activeProfile.kernels);case 12:if((i=a()).done){e.next=22;break}return o=i.value,e.next=16,o.kernelTimeMs;case 16:return o.kernelTimeMs=e.sent,e.next=19,o.extraInfo;case 19:o.extraInfo=e.sent;case 20:e.next=12;break;case 22:return e.abrupt("return",this.state.activeProfile);case 23:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.addTapeNode=function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Xx(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=wg(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)},t.keep=function(e){return e.kept=!0,e},t.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.endTape=function(){this.state.gradientDepth--},t.startScope=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},t.endScope=function(e){for(var t=this,n=vk(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)}))},t.gradients=function(e,t,n,r){var a=this;if(void 0===r&&(r=!1),Hv(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 '"+n.dtype+"'");var i=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",e)}));Hv(i instanceof nk,(function(){return"The result y returned by f() must be a tensor."}));var o=function(e,t,n){for(var r={},a={},i=0;i<t.length;i++)r[t[i].id]=!0;for(var o=0;o<e.length;o++){var s=e[o],u=s.inputs;for(var l in u){for(var c=u[l],p=!1,h=0;h<t.length;h++)if(r[c.id]){s.outputs.forEach((function(e){return r[e.id]=!0})),p=!0,a[s.id]=!0;break}if(p)break}}var f={};f[n.id]=!0;for(var d={},m=e.length-1;m>=0;m--)for(var v=e[m],g=v.inputs,y=0;y<v.outputs.length;y++)if(f[v.outputs[y].id]){for(var b in g)f[g[b].id]=!0,d[v.id]=!0;break}for(var x=[],w=0;w<e.length;w++){var k=e[w];if(a[k.id]&&d[k.id]){var N={};for(var I in k.inputs){var S=k.inputs[I];r[S.id]&&(N[I]=S)}var T=Object.assign({},k);T.inputs=N,T.outputs=k.outputs,x.push(T)}}return x}(this.state.activeTape,t,i);if(!r&&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,r,s={};s[i.id]=null==n?(e=i.shape,r=xg(Xv(e),"float32"),Ik.makeTensor(r,e,"float32")):n,function(e,t,n,r){for(var a=function(a){var i=t[a],o=[];if(i.outputs.forEach((function(t){var n=e[t.id];null!=n?o.push(n):o.push(null)})),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var s=i.gradient(o),u=function(t){if(!(t in s))throw new Error("Cannot backprop through input "+t+". Available gradients found: "+Object.keys(s)+".");var a=n((function(){return s[t]()}));if("float32"!==a.dtype)throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input "+t+" must have 'float32' dtype, but has '"+a.dtype+"'");var o=i.inputs[t];if(!Yv(a.shape,o.shape))throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input '"+t+"' has shape '"+a.shape+"', which does not match the shape of the input '"+o.shape+"'");if(null==e[o.id])e[o.id]=a;else{var u=e[o.id];e[o.id]=r(u,a),u.dispose()}};for(var l in i.inputs)u(l)},i=t.length-1;i>=0;i--)a(i)}(s,o,(function(e){return a.tidy(e)}),Sk);var u=t.map((function(e){return s[e.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(e){for(var t,n=Lv(e.saved);!(t=n()).done;){t.value.dispose()}})),a.state.activeTape=null),{value:i,grads:u}}))},t.customGrad=function(e){var t=this;return Hv(dg(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;Hv(r.every((function(e){return e instanceof nk})),(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 Hv((i=e.apply(void 0,[].concat(r,[n]))).value instanceof nk,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),Hv(dg(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];Hv(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(...)."})),Hv(a.every((function(e){return e instanceof nk})),(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})}},t.readSync=function(e){return this.state.tensorInfo.get(e).backend.readSync(e)},t.read=function(e){return this.state.tensorInfo.get(e).backend.read(e)},t.readToGPU=function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)},t.time=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Bw(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=Bw()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.track=function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e},t.reset=function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new xk,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},Tv(e,[{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+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 '"+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:"registeredVariables",get:function(){return this.state.registeredVariables}}]),e}();function kk(){var t=Fg();if(null==t._tfengine){var n=new Ag(t);t._tfengine=new wk(n)}return function(t){e.ENV=t}(t._tfengine.ENV),ek=function(){return t._tfengine},t._tfengine}wk.nextTensorId=0,wk.nextVariableId=0;var Nk,Ik=kk();function Sk(e,t){var n={a:e,b:t};return Ik.runKernel(Pg,n)}function Tk(e){if(void 0!==Nk)return Nk;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(Gw(e))return"string"===t?[]:[e.length];if("object"==typeof e){if("texture"in e){var r=e.channels||"RGBA";return[e.height,e.width*r.length]}if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(null==t?4:ug(t))]}if(!Array.isArray(e))return[];for(var a=[];Array.isArray(n)||Gw(n)&&"string"!==t;)a.push(n.length),n=n[0];return Array.isArray(e)&&Og().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&_k(e,a,[]),a}function _k(e,t,n){if(n=n||[],Array.isArray(e)||Gw(e)){Hv(t.length>0,(function(){return"Element arr["+n.join("][")+"] should be a primitive, but is an array of "+e.length+" elements"})),Hv(e.length===t[0],(function(){return"Element arr["+n.join("][")+"] should have "+t[0]+" elements, but has "+e.length+" elements"}));for(var r=t.slice(1),a=0;a<e.length;++a)_k(e[a],r,n.concat(a))}else Hv(0===t.length,(function(){return"Element arr["+n.join("][")+"] is a primitive, but should be an array/TypedArray of "+t[0]+" elements"}))}function Ok(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 '"+n+"' passed to '"+r+"' must be "+e+" tensor, but got "+t+" tensor")}}function Fk(e,t,n,r){if(void 0===r&&(r="numeric"),e instanceof nk)return Ok(r,e.dtype,t,n),e;var a=fg(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),Ok(r,a,t,n),null==e||!Gw(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 '"+t+"' passed to '"+n+"' must be a Tensor or TensorLike, but got '"+i+"'")}var o=Rk(e,a);Gw(e)||Array.isArray(e)||(e=[e]);var s="string"!==a?Pw(e,a):jw(e,[],!0);return Ik.makeTensor(s,o,a)}function Dk(e,t,n,r){if(void 0===r&&(r="numeric"),!Array.isArray(e))throw new Error("Argument "+t+" passed to "+n+" must be a `Tensor[]` or `TensorLike[]`");return e.map((function(e,a){return Fk(e,t+"["+a+"]",n,r)}))}Ak.registerFlag("DEBUG",(function(){return!1}),(function(e){e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")})),Ak.registerFlag("IS_BROWSER",(function(){return Ck()})),Ak.registerFlag("IS_NODE",(function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node})),Ak.registerFlag("IS_CHROME",(function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)})),Ak.registerFlag("PROD",(function(){return!1})),Ak.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",(function(){return Ak.getBool("DEBUG")})),Ak.registerFlag("DEPRECATION_WARNINGS_ENABLED",(function(){return!0})),Ak.registerFlag("IS_TEST",(function(){return!1})),Ak.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",(function(){return!0})),Ak.registerFlag("WRAP_TO_IMAGEBITMAP",(function(){return!1})),Ak.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",(function(){return!1})),Ak.registerFlag("USE_SETTIMEOUTCUSTOM",(function(){return!1}));var Mk="__op";function Lk(e){var t=Object.keys(e);if(1!==t.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+t.length+" keys.");var n=t[0],r=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n+=Mk;var a=function(){Ik.startScope(n);try{var e=r.apply(void 0,arguments);return Tg(e)&&console.error("Cannot return a Promise inside of tidy."),Ik.endScope(e),e}catch(e){throw Ik.endScope(null),e}};return Object.defineProperty(a,"name",{value:n,configurable:!0}),a}var zk=Lk({complex_:function(e,t){var n=Fk(e,"real","complex"),r=Fk(t,"imag","complex");qv(n.shape,r.shape,"real and imag shapes, "+n.shape+" and "+r.shape+", must match in call to tf.complex().");var a={real:n,imag:r};return Ik.runKernel(sy,a)}});function Pk(e,t,n,r){if(null==r)r=fg(e);else if("complex64"===r)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if("object"==typeof e&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if("float32"!==r&&"int32"!==r)throw new Error("Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is "+r+".");return Ik.backend.createTensorFromGPUData(e,t||n,r)}if(!Gw(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=t){Ng(t);var a=Xv(t),i=Xv(n);Hv(a===i,(function(){return"Based on the provided shape, ["+t+"], the tensor should have "+a+" values but has "+i}));for(var o=0;o<n.length;++o){var s=n[o],u=o!==n.length-1||s!==Xv(t.slice(o));Hv(n[o]===t[o]||!u,(function(){return"Error creating a new Tensor. Inferred shape ("+n+") does not match the provided shape ("+t+"). 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uI=Lk({acosh_:function(e){var t={x:Fk(e,"x","acosh")};return Ik.runKernel(zg,t)}});var lI=Lk({addN_:function(e){Hv(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),Hv(e.length>=1,(function(){return"Must pass at least one tensor to tf.addN(), but got "+e.length}));var t=e.map((function(e,t){return Fk(e,"tensors"+t,"addN")})),n=t[0];t.forEach((function(e){if(e.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")})),t.forEach((function(e){if(!Yv(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return Ik.runKernel(Bg,r)}});var cI=Lk({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Fk(e,"x","all","bool")},a={axis:t,keepDims:n};return Ik.runKernel(Wg,r,a)}});var pI=Lk({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Fk(e,"x","any","bool")},a={axis:t,keepDims:n};return Ik.runKernel(Vg,r,a)}});var hI=Lk({argMax_:function(e,t){void 0===t&&(t=0);var n={x:Fk(e,"x","argMax")},r={axis:t};return Ik.runKernel(Ug,n,r)}});var fI=Lk({argMin_:function(e,t){void 0===t&&(t=0);var n={x:Fk(e,"x","argMin")},r={axis:t};return Ik.runKernel(Gg,n,r)}});var dI=Lk({asin_:function(e){var t={x:Fk(e,"x","asin")};return Ik.runKernel(jg,t)}});var mI=Lk({asinh_:function(e){var t={x:Fk(e,"x","asinh")};return Ik.runKernel(Hg,t)}});var vI=Lk({atan_:function(e){var t={x:Fk(e,"x","atan")};return Ik.runKernel(qg,t)}});var gI=Lk({atan2_:function(e,t){var n=Fk(e,"a","atan2"),r=Fk(t,"b","atan2"),a=fk(n,r),i={a:n=a[0],b:r=a[1]};return Ik.runKernel(Xg,i)}});var yI=Lk({atanh_:function(e){var t={x:Fk(e,"x","atanh")};return Ik.runKernel(Kg,t)}});function bI(e,t,n,r,a,i){void 0===a&&(a="NHWC");var o=e[3];return kI(e,[].concat(t,[o]),n,i,r,null,null,OI(a))}function xI(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=SI(t),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,e[3],e[3]];else{if("channelsFirst"!==o)throw new 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y="channelsLast"===u?e[1][0]:e[2][0],b="channelsLast"===u?e[1][1]:e[2][1],x="channelsLast"===u?e[2][0]:e[3][0],w="channelsLast"===u?e[2][1]:e[3][1];l={top:y,bottom:b,left:x,right:w,type:0===y&&0===b&&0===x&&0===w?"VALID":"EXPLICIT"},c=EI((t-i+y+b)/r+1,s),p=EI((n-o+x+w)/a+1,s)}return{padInfo:l,outHeight:c,outWidth:p}}(a,l,c,g,y,k,N,i,s),S=I.padInfo,T=I.outHeight,C=I.outWidth,E=o?m*p:m;return"channelsFirst"===s?h=[u,E,T,C]:"channelsLast"===s&&(h=[u,T,C,E]),{batchSize:u,dataFormat:s,inHeight:l,inWidth:c,inChannels:p,outHeight:T,outWidth:C,outChannels:E,padInfo:S,strideHeight:g,strideWidth:y,filterHeight:f,filterWidth:d,effectiveFilterHeight:k,effectiveFilterWidth:N,dilationHeight:x,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function NI(e,t,n,r,a,i,o,s){void 0===i&&(i=!1),void 0===o&&(o="channelsLast");var u=-1,l=-1,c=-1,p=-1,h=-1;if("channelsLast"===o)u=e[0],l=e[1],c=e[2],p=e[3],h=e[4];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat 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"+t);t.forEach((function(t){t.forEach((function(t){Hv(Jv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}))}))}))}}}var DI=Lk({reshape_:function(e,t){var n={x:Fk(e,"x","reshape","string_or_numeric")},r={shape:t};return Ik.runKernel(qb,n,r)}});var MI=Lk({avgPool_:function(e,t,n,r,a){var i=Fk(e,"x","avgPool","float32");Hv(RI(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"}));var o=i,s=!1;3===i.rank&&(s=!0,o=DI(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Hv(4===o.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+o.rank+"."})),FI("avgPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=Ik.runKernel(Yg,u,l);return c=jN(c,i.dtype),s?DI(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var LI=Lk({avgPool3d_:function(e,t,n,r,a,i){void 0===i&&(i="NDHWC");var o=Fk(e,"x","avgPool3d","float32"),s=o,u=!1;4===o.rank&&(u=!0,s=DI(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===s.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank "+s.rank+"."})),Hv("NDHWC"===i,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),Hv("number"==typeof n&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,(function(){return"Error in avgPool3d: Stride must be > 0, but got '"+n+"'"})),FI("avgPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=Ik.runKernel(Zg,l,c);return p=jN(p,s.dtype),u?DI(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var zI=Lk({concat_:function(e,t){void 0===t&&(t=0),Hv(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=Dk(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach((function(e){if("complex64"!==e.dtype)throw new Error("Cannot concatenate complex64 tensors with a tensor\n with dtype "+e.dtype+". ")})),1===n.length)return HN(n[0]);var r=n,a={axis:t};return Ik.runKernel(ly,r,a)}});var PI=Lk({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Fk(e,"a","matMul"),i=Fk(t,"b","matMul"),o=fk(a,i),s={a:a=o[0],b:i=o[1]},u={transposeA:n,transposeB:r};return Ik.runKernel($g,s,u)}});var BI=Lk({sigmoid_:function(e){var t={x:Fk(e,"x","sigmoid","float32")};return Ik.runKernel(lx,t)}});var WI=Lk({slice_:function(e,t,n){var r=Fk(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");var a={x:r},i={begin:t,size:n};return Ik.runKernel(ix,a,i)}});var VI=Lk({tanh_:function(e){var t={x:Fk(e,"x","tanh","float32")};return Ik.runKernel(Ax,t)}});var UI=Lk({basicLSTMCell_:function(e,t,n,r,a,i){var o=Fk(e,"forgetBias","basicLSTMCell"),s=Fk(t,"lstmKernel","basicLSTMCell"),u=Fk(n,"lstmBias","basicLSTMCell"),l=Fk(r,"data","basicLSTMCell"),c=Fk(a,"c","basicLSTMCell"),p=Fk(i,"h","basicLSTMCell"),h=zI([l,p],1),f=PI(h,s),d=nI(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=WI(d,[0,0],g),b=WI(d,[0,v],g),x=WI(d,[0,2*v],g),w=WI(d,[0,3*v],g),k=nI(iI(BI(y),VI(b)),iI(c,BI(nI(o,x))));return[k,iI(VI(k),BI(w))]}});var GI=Lk({batchToSpaceND_:function(e,t,n){var r=Fk(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Hv(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Hv(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length "+t.length})),Hv(r.shape[0]%a==0,(function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a}));var i={x:r},o={blockShape:t,crops:n};return Ik.runKernel(ey,i,o)}});var jI=Lk({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=Fk(e,"x","batchNorm"),l=Fk(t,"mean","batchNorm"),c=Fk(n,"variance","batchNorm");null!=a&&(o=Fk(a,"scale","batchNorm")),null!=r&&(s=Fk(r,"offset","batchNorm")),Hv(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Hv(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p=function(e){return 0===e.rank||1===e.rank?DI(e,[1,1,1,e.size]):2===e.rank?DI(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?DI(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),h={x:p,scale:o,offset:s,mean:l,variance:c},f={varianceEpsilon:i},d=Ik.runKernel(jy,h,f);return DI(d,u.shape)}});var HI=Lk({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=Fk(e,"x","batchNorm"),l=Fk(t,"mean","batchNorm"),c=Fk(n,"variance","batchNorm");return null!=a&&(o=Fk(a,"scale","batchNorm")),null!=r&&(s=Fk(r,"offset","batchNorm")),Hv(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Hv(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Hv(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),jI(u,l,c,s,o,i)}});var qI=Lk({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=Fk(e,"x","batchNorm"),l=Fk(t,"mean","batchNorm"),c=Fk(n,"variance","batchNorm");return null!=a&&(o=Fk(a,"scale","batchNorm")),null!=r&&(s=Fk(r,"offset","batchNorm")),Hv(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Hv(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Hv(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(3===o.rank||1===o.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),jI(u,l,c,s,o,i)}});var KI=Lk({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=Fk(e,"x","batchNorm"),l=Fk(t,"mean","batchNorm"),c=Fk(n,"variance","batchNorm");return null!=a&&(o=Fk(a,"scale","batchNorm")),null!=r&&(s=Fk(r,"offset","batchNorm")),Hv(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Hv(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Hv(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),jI(u,l,c,s,o,i)}});var XI=Lk({bincount_:function(e,t,n){var r=Fk(e,"x","bincount"),a=Fk(t,"weights","bincount");Hv("int32"===r.dtype,(function(){return"Error in bincount: input dtype must be int32, but got "+r.dtype})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or0-length, but got input shape: "+r.shape+", weights shape: "+a.shape+"."}));var i={x:r,weights:a},o={size:n};return Ik.runKernel(ty,i,o)}});var YI=Lk({broadcastArgs_:function(e,t){var n=Fk(e,"s0","broadcastArgs","int32"),r=Fk(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). Has rank "+n.rank);if(1!==r.rank)throw new Error("broadcastArgs(): second input must be a vector (rank=1). Has rank "+r.rank);var a={s0:n,s1:r};return Ik.runKernel(ry,a)}});var JI=Lk({broadcastTo_:function(e,t){var n=Fk(e,"broadcastTo","x"),r=n.shape;if(Ng(t),t.length<n.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+n.rank+".");if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=DI(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+t+"].");var u=o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return HN(n);var l={x:n},c={reps:o};return Ik.runKernel(Rx,l,c)}});var ZI=Lk({ceil_:function(e){var t={x:Fk(e,"x","ceil","float32")};return Ik.runKernel(iy,t)}});function QI(e,t,n){Ng(e);var r={shape:e,value:t,dtype:n};return Ik.runKernel(Wy,{},r)}var $I=Lk({clipByValue_:function(e,t,n){var r=Fk(e,"x","clipByValue");if(Hv(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."})),t===n)return QI(r.shape,t,r.dtype);var a={x:r},i={clipValueMin:t,clipValueMax:n};return Ik.runKernel(oy,a,i)}});var eS=Lk({concat1d_:function(e){return zI(e,0)}});var tS=Lk({concat2d_:function(e,t){return zI(e,t)}});var nS=Lk({concat3d_:function(e,t){return zI(e,t)}});var rS=Lk({concat4d_:function(e,t){return zI(e,t)}});var aS=Lk({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Fk(e,"x","conv2d","float32"),u=Fk(t,"filter","conv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=DI(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),FI("conv2d",r,o);var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Hv(RI(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Hv(_I(i),(function(){return"Error in conv2D: Dilated rates should be larger than 0."})),Hv(_I(n),(function(){return"Error in conv2D: Strides should be larger than 0."}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Ik.runKernel(cy,h,f);return c?DI(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var iS=Lk({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Fk(e,"x","conv1d"),u=Fk(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=DI(s,[1,s.shape[0],s.shape[1]])),Hv(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Hv(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),FI("conv1d",r,o),Hv(l.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),Hv(RI(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Hv(_I(i),(function(){return"Error in conv1D: Dilated rates should be larger than 0."})),Hv(_I(n),(function(){return"Error in conv1D: Stride should be larger than 0."})),Hv("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=DI(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=DI(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=aS(h,p,[1,n],r,"NHWC",[1,i],o);return DI(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var oS=Lk({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Hv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var s=e,u=t,l=!1;3===t.rank&&(l=!0,u=DI(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Hv(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Hv(4===n.rank,(function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}));var c="NHWC"===i?s[3]:s[1],p="NHWC"===i?u.shape[3]:u.shape[1];Hv(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Hv(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),FI("conv2dDerInput",a,o);var h={dy:u,filter:n},f={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},d=Ik.runKernel(hy,h,f);return l?DI(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var sS=Lk({conv2dTranspose_:function(e,t,n,r,a,i){var o=Fk(e,"x","conv2dTranspose"),s=Fk(t,"filter","conv2dTranspose");return oS(n,o,s,r,a,"NHWC",i)}});var uS=Lk({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=Fk(e,"x","conv3d"),s=Fk(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=DI(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Hv(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Hv(u.shape[4]===s.shape[3],(function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."})),Hv(RI(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Hv("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."})),Hv(_I(i),(function(){return"Error in conv3D: Dilated rates should be larger than 0."})),Hv(_I(n),(function(){return"Error in conv3D: Strides should be larger than 0."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=Ik.runKernel(fy,c,p);return l?DI(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var lS=Lk({conv3DBackpropInput_:function(e,t,n,r,a){Hv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var i=e,o=t,s=!1;4===t.rank&&(s=!0,o=DI(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),i=[1,e[0],e[1],e[2],e[3]]);var u=i[4],l=o.shape[4];Hv(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Hv(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Hv(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Hv(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Hv(l===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."}));var c={dy:o,filter:n},p={pad:a,strides:r,inputShape:i},h=Ik.runKernel(my,c,p);return s?DI(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var cS=Lk({conv3dTranspose_:function(e,t,n,r,a){var i=Fk(e,"x","conv3dTranspose"),o=Fk(t,"filter","conv3dTranspose");return lS(n,i,o,r,a)}});var pS=Lk({cos_:function(e){var t={x:Fk(e,"x","cos","float32")};return Ik.runKernel(vy,t)}});var hS=Lk({cosh_:function(e){var t={x:Fk(e,"x","cosh","float32")};return Ik.runKernel(gy,t)}});var fS=Lk({cumprod_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:Fk(e,"x","cumprod")},i={axis:t,exclusive:n,reverse:r};return Ik.runKernel(yy,a,i)}});var dS=Lk({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:Fk(e,"x","cumsum")},i={axis:t,exclusive:n,reverse:r};return Ik.runKernel(by,a,i)}});var mS=Lk({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=Fk(e,"x","denseBincount"),i=Fk(t,"weights","denseBincount");Hv("int32"===a.dtype,(function(){return"Error in denseBincount: input dtype must be int32, but got "+a.dtype})),Hv(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got rank "+a.rank+"."})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(i.size===a.size||0===i.size,(function(){return"Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: "+a.shape+", weights shape: "+i.shape+"."}));var o={x:a,weights:i},s={size:n,binaryOutput:r};return Ik.runKernel(wy,o,s)}});var vS=Lk({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=Fk(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];Hv(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t})),Hv(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n "+a+" and "+t+" for depthToSpace with input shape\n "+r.shape})),Hv(i*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n "+i+" and "+t+" for depthToSpace with input shape\n "+r.shape})),Hv(o%(t*t)==0,(function(){return"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape}));var s={x:r},u={blockSize:t,dataFormat:n};return Ik.runKernel(ky,s,u)}});var gS=Lk({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Fk(e,"x","depthwiseConv2d","float32"),u=Fk(t,"filter","depthwiseConv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=DI(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+p+") must match the inChannels dimension in filter "+u.shape[2]+"."})),FI("depthwiseConv2d",r,o);var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Ik.runKernel(Ny,h,f);return c?DI(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var yS=Lk({diag_:function(e){var t={x:Fk(e,"x","diag")};return Ik.runKernel(Ty,t)}});var bS=Lk({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=Fk(e,"x","dilation2d"),s=Fk(t,"filter","dilation2d");Hv(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Hv(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Hv("NHWC"===i,(function(){return"Error in dilation2d: Only NHWC is currently supported, but got dataFormat of "+i}));var u=o,l=!1;3===o.rank&&(u=DI(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=!0),Hv(u.shape[3]===s.shape[2],(function(){return"Error in dilation2d: input and filter must have the same depth: "+u.shape[3]+" vs "+s.shape[2]}));var c={x:u,filter:s},p={strides:n,pad:r,dilations:a},h=Ik.runKernel(Cy,c,p);return l?DI(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});function xS(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function wS(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function kS(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var NS={__proto__:null,getBroadcastDims:xS,getReductionAxes:wS,assertAndGetBroadcastShape:kS};var IS=Lk({equal_:function(e,t){var n=Fk(e,"a","equal","string_or_numeric"),r=Fk(t,"b","equal","string_or_numeric"),a=fk(n,r);n=a[0],r=a[1],kS(n.shape,r.shape);var i={a:n,b:r};return Ik.runKernel(My,i)}});var SS=Lk({where_:function(e,t,n){var r=Fk(t,"a","where"),a=Fk(n,"b","where"),i=Fk(e,"condition","where","bool"),o=kS(kS(i.shape,r.shape),a.shape),s={condition:JI(i,o),t:JI(r,o),e:JI(a,o)};return Ik.runKernel(rx,s)}});var TS=Lk({zerosLike_:function(e){var t={x:Fk(e,"x","zerosLike")};return Ik.runKernel(zx,t)}});var CS=Lk({divNoNan_:function(e,t){var n=Fk(e,"a","div"),r=Fk(t,"b","div"),a=fk(n,r);n=a[0],r=a[1];var i=aI(n,r),o=TS(i),s=IS(r,o);return SS(s,o,i)}});var ES=Lk({dot_:function(e,t){var n=Fk(e,"t1","dot"),r=Fk(t,"t2","dot");Hv(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];if(Hv(a===i,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."})),1===n.rank&&1===r.rank){var o=DI(n,[1,-1]),s=DI(r,[-1,1]),u=PI(o,s);return DI(u,[])}if(1===n.rank&&2===r.rank){var l=DI(n,[1,-1]),c=DI(r,[r.shape[0],r.shape[1]]),p=PI(l,c);return DI(p,[p.size])}if(2===n.rank&&1===r.rank){var h=DI(r,[-1,1]),f=PI(n,h);return DI(f,[f.size])}var d=DI(r,[r.shape[0],r.shape[1]]);return PI(n,d)}});var AS=Lk({einsum_:function(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),r=1;r<t;r++)n[r-1]=arguments[r];var a=n.map((function(e,t){return Fk(e,"tensors"+t,"einsum")})),i={equation:e};return Ik.runKernel(_y,a,i)}});var RS=Lk({elu_:function(e){var t={x:Fk(e,"x","elu","float32")};return Ik.runKernel(Oy,t)}});var _S=Lk({erf_:function(e){var t=Fk(e,"x","erf");Hv("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=jN(t,"float32"));var n={x:t};return Ik.runKernel(Dy,n)}});function OS(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function FS(e,t,n){for(var r=e.length+t.length,a=[],i=0,o=0,s=0;s<r;s++)-1===n.indexOf(s)?a.push(e[i++]):a.push(t[o++]);return a}function DS(e,t){for(var n=[],r=e.length,a=0;a<r;a++)-1===t.indexOf(a)&&n.push(e[a]);var i=t.map((function(t){return e[t]}));return[n,i]}function MS(e,t){return FS(e,t.map((function(e){return 1})),t)}function LS(e,t,n){Hv(OS(t,n),(function(){return e+" supports only inner-most axes for now. Got axes "+t+" and rank-"+n+" input."}))}function zS(e,t){if(OS(e,t))return null;for(var n=[],r=0;r<t;++r)-1===e.indexOf(r)&&n.push(r);return e.forEach((function(e){return n.push(e)})),n}function PS(e){return e.map((function(e,t){return[t,e]})).sort((function(e,t){return e[1]-t[1]})).map((function(e){return e[0]}))}function BS(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}var WS=Lk({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Fk(e,"x","max")},a={reductionIndices:t,keepDims:n};return Ik.runKernel(fb,r,a)}});var VS=Lk({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Fk(e,"x","min")},a={axis:t,keepDims:n};return Ik.runKernel(wb,r,a)}});var US=Lk({pow_:function(e,t){var n=Fk(e,"base","pow"),r=Fk(t,"exp","pow"),a=fk(n,r),i={a:n=a[0],b:r=a[1]};return Ik.runKernel(Lb,i)}});function GS(e,t){if((Gw(e)&&"string"!==t||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===t&&Gw(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Pk(e,[],[],t)}var jS=Lk({sqrt_:function(e){var t={x:Fk(e,"x","sqrt","float32")};return Ik.runKernel(px,t)}});var HS=Lk({square_:function(e){var t=Fk(e,"x","square");return Ik.runKernel("Square",{x:t},{})}});var qS=Lk({sum_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Fk(e,"x","sum");"bool"===r.dtype&&(r=jN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return Ik.runKernel(hx,a,i)}});function KS(e,t,n){if(void 0===n&&(n=null),0===e.rank)return oI(e);if(1!==e.rank&&null===n)return KS(DI(e,[-1]),t,n);if(1===e.rank||"number"==typeof n||Array.isArray(n)&&1===n.length){if(1===t)return qS(oI(e),n);if(t===1/0)return WS(oI(e),n);if(t===-1/0)return VS(oI(e),n);if("euclidean"===t||2===t)return jS(qS(US(oI(e),GS(2,"int32")),n));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(n)&&2===n.length){if(1===t)return WS(qS(oI(e),n[0]),n[1]-1);if(t===1/0)return WS(qS(oI(e),n[1]),n[0]);if(t===-1/0)return VS(qS(oI(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return jS(qS(HS(e),n));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+n)}var XS=Lk({norm_:function(e,t,n,r){void 0===t&&(t="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=KS(e=Fk(e,"x","norm"),t,n),i=a.shape;if(r){var o=tg(n,e.shape);i=MS(a.shape,o)}return DI(a,i)}});var YS=Lk({euclideanNorm_:function(e,t,n){return void 0===t&&(t=null),void 0===n&&(n=!1),XS(e,"euclidean",t,n)}});var JS=Lk({exp_:function(e){var t={x:Fk(e,"x","exp")};return Ik.runKernel(Ly,t)}});var ZS=Lk({expandDims_:function(e,t){void 0===t&&(t=0);var n=Fk(e,"x","expandDims","string_or_numeric");Hv(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return Ik.runKernel(zy,r,a)}});var QS=Lk({expm1_:function(e){var t={x:Fk(e,"x","expm1")};return Ik.runKernel(Py,t)}});var $S=Lk({tile_:function(e,t){var n=Fk(e,"x","tile","string_or_numeric");Hv(n.rank===t.length,(function(){return"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."}));var r={x:n},a={reps:t};return Ik.runKernel(Rx,r,a)}});var eT=Lk({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=GN([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=DI(a.toTensor(),[e,t]);if(null==n)return s;if(1===n.length)return $S(ZS(s,0),[n[0],1,1]);if(2===n.length)return $S(ZS(ZS(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return $S(ZS(ZS(ZS(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}});var tT=Lk({floor_:function(e){var t={x:Fk(e,"x","floor","float32")};return Ik.runKernel(Uy,t)}});var nT=Lk({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:Fk(e,"x","gather"),indices:Fk(t,"indices","gather","int32")},i={axis:n,batchDims:r};return Ik.runKernel(Hy,a,i)}});var rT=Lk({greater_:function(e,t){var n=Fk(e,"a","greater","string_or_numeric"),r=Fk(t,"b","greater","string_or_numeric"),a=fk(n,r);n=a[0],r=a[1],kS(n.shape,r.shape);var i={a:n,b:r};return Ik.runKernel(Ky,i)}});var aT=Lk({greaterEqual_:function(e,t){var n=Fk(e,"a","greaterEqual","string_or_numeric"),r=Fk(t,"b","greaterEqual","string_or_numeric"),a=fk(n,r);n=a[0],r=a[1],kS(n.shape,r.shape);var i={a:n,b:r};return Ik.runKernel(Xy,i)}});var iT=Lk({imag_:function(e){var t={input:Fk(e,"input","imag")};return Ik.runKernel(Zy,t)}});var oT=Lk({isFinite_:function(e){var t={x:Fk(e,"x","isFinite")};return Ik.runKernel(Qy,t)}});var sT=Lk({isInf_:function(e){var t={x:Fk(e,"x","isInf")};return Ik.runKernel($y,t)}});var uT=Lk({isNaN_:function(e){var t={x:Fk(e,"x","isNaN")};return Ik.runKernel(eb,t)}});var lT=Lk({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:Fk(e,"x","leakyRelu")},r={alpha:t};return Ik.runKernel(tb,n,r)}});var cT=Lk({less_:function(e,t){var n=Fk(e,"a","less","string_or_numeric"),r=Fk(t,"b","less","string_or_numeric"),a=fk(n,r);n=a[0],r=a[1],kS(n.shape,r.shape);var i={a:n,b:r};return Ik.runKernel(nb,i)}});var pT=Lk({lessEqual_:function(e,t){var n=Fk(e,"a","lessEqual","string_or_numeric"),r=Fk(t,"b","lessEqual","string_or_numeric"),a=fk(n,r);n=a[0],r=a[1],kS(n.shape,r.shape);var i={a:n,b:r};return Ik.runKernel(rb,i)}});function hT(e,t,n){if(n<=0)throw new Error("The number of values should be positive.");var r={start:e,stop:t,num:n};return Ik.runKernel(ab,{},r)}var fT=Lk({localResponseNormalization_:function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5);var i=Fk(e,"x","localResponseNormalization");Hv(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank "+i.rank+"."})),Hv(Jv(t),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+t+"."}));var o=i,s=!1;3===i.rank&&(s=!0,o=DI(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var u={x:o},l={depthRadius:t,bias:n,alpha:r,beta:a},c=Ik.runKernel(pb,u,l);return s?DI(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var dT=Lk({log_:function(e){var t={x:Fk(e,"x","log","float32")};return Ik.runKernel(ib,t)}});var mT=Lk({log1p_:function(e){var t={x:Fk(e,"x","log1p")};return Ik.runKernel(ob,t)}});function vT(e,t){Hv(dg(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Hv(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof lk})),(function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"}));var n=null!=t;if(!n)for(var r in t=[],Ik.registeredVariables)t.push(Ik.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;t=t.filter((function(e){return e.trainable})),Hv(t.length>0,(function(){return"variableGrads() expects at least one of the input variables to be trainable, but none of the "+i+" variables is trainable."}));var o=Ik.gradients(e,t,null,!0),s=o.value,u=o.grads;Hv(u.some((function(e){return null!=e})),(function(){return"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."})),Hv(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+s.rank+" tensor"}));var l={};return t.forEach((function(e,t){null!=u[t]&&(l[e.name]=u[t])})),null!=a&&a.forEach((function(e){return l[e.name]=null})),{value:s,grads:l}}function gT(e){return Ik.customGrad(e)}function yT(e){if(e.filter((function(e){return null==e})).length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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Error("Expected ArrayBuffer value at "+a+" to be "+r[a]+" but got "+n[a]+" instead")},encodeStrings:function e(t){for(var n=0;n<t.length;n++){var r=t[n];Array.isArray(r)?e(r):t[n]=Vw(r)}return t},createVideoElement:function(e){var t=document.createElement("video");return"playsInline"in t&&(t.playsInline=!0),t.muted=!0,t.loop=!0,t.style.position="fixed",t.style.left="0px",t.style.top="0px",t.preload="auto",t.appendChild(e),new Promise((function(e){t.addEventListener("loadeddata",(function(n){return e(t)})),t.load()}))},play:function(e){return wC.apply(this,arguments)}},NC=function(){function e(e,t,n,r,a){this.mean=e,this.stdDev=t,this.dtype=n,this.nextVal=NaN,this.truncated=r,this.truncated&&(this.upper=this.mean+2*this.stdDev,this.lower=this.mean-2*this.stdDev);var i=a||Math.random();this.random=vC(i.toString())}var t=e.prototype;return t.nextValue=function(){if(!isNaN(this.nextVal)){var e=this.nextVal;return this.nextVal=NaN,e}for(var t,n,r=!1;!r;){var a=void 0,i=void 0,o=void 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i=1/this.beta*this.d*i,this.alpha<1&&(i*=Math.pow(this.randu(),1/this.alpha)),this.convertValue(i)},t.convertValue=function(e){return"float32"===this.dtype?e:Math.round(e)},e}(),SC=function(){function e(e,t,n,r){var a=this;if(void 0===e&&(e=0),void 0===t&&(t=1),this.canReturnFloat=function(){return null==a.dtype||"float32"===a.dtype},this.min=e,this.range=t-e,this.dtype=n,null==r&&(r=Math.random()),"number"==typeof r&&(r=r.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error("The difference between "+e+" - "+t+" <= 1 and dtype is not float");this.random=vC(r)}var t=e.prototype;return t.convertValue=function(e){return this.canReturnFloat()?e:Math.round(e)},t.nextValue=function(){return this.convertValue(this.min+this.range*this.random())},e}();var TC=Lk({randomGamma_:function(e,t,n,r,a){if(void 0===n&&(n=1),void 0===r&&(r="float32"),Ng(e),null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type "+r);for(var i=new 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Hv(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),MC(n,t)}});var WC=Lk({round_:function(e){var t={x:Fk(e,"x","round")};return Ik.runKernel($b,t)}});var VC=Lk({rsqrt_:function(e){var t={x:Fk(e,"x","rsqrt","float32")};return Ik.runKernel(ex,t)}});var UC=Lk({selu_:function(e){var t={x:Fk(e,"x","selu")};return Ik.runKernel(ax,t)}});var GC=Lk({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=Fk(e,"x","separableConv2d"),u=Fk(t,"depthwiseFilter","separableConv2d"),l=Fk(n,"pointwiseFilter","separableConv2d"),c=s,p=!1;if(3===s.rank&&(p=!0,c=DI(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");Hv(4===c.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."})),Hv(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(4===l.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(1===l.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter must be 1, but got "+l.shape[0]+"."})),Hv(1===l.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+l.shape[1]+"."}));var h=u.shape[2],f=u.shape[3];Hv(l.shape[2]===h*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*f+", but got "+l.shape[2]+"."}));var d=gS(c,u,r,a,o,i),m=aS(d,l,1,"valid",o);return p?DI(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function jC(){return jC=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h,f;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=Fk(t,"x","setdiff1d"),a=Fk(n,"y","setdiff1d"),Hv(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x ("+r.dtype+") and y ("+a.dtype+")."})),Hv(1===r.rank,(function(){return"x should be 1D tensor, but got x ("+r.shape+")."})),Hv(1===a.rank,(function(){return"y should be 1D tensor, but got y ("+a.shape+")."})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(o=e.sent,s=new Set(o),u=0,l=0;l<i.length;l++)s.has(i[l])||u++;for(c=new $w([u],r.dtype),p=new $w([u],"int32"),h=0,f=0;h<i.length;h++)s.has(i[h])||(c.values[f]=i[h],p.values[f]=h,f++);return e.abrupt("return",[c.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),jC.apply(this,arguments)}var HC=function(e,t){return jC.apply(this,arguments)};var qC=Lk({sign_:function(e){var t={x:Fk(e,"x","sign")};return Ik.runKernel(ux,t)}});var KC=Lk({sin_:function(e){var t={x:Fk(e,"x","sin","float32")};return Ik.runKernel(ox,t)}});var XC=Lk({sinh_:function(e){var t={x:Fk(e,"x","sinh")};return Ik.runKernel(sx,t)}});var YC=Lk({slice1d_:function(e,t,n){var r=Fk(e,"x","slice1d");return 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r=Rk(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 Pk(e,t,r,n)}function mE(e,t,n){if(Kv(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=Rk(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 Pk(e,t,r,n)}function vE(e,t,n){if(Kv(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=Rk(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 Pk(e,t=t||r,r,n)}var gE=Lk({topk_:function(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=Fk(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 "+t);if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension ("+a+") but got "+t);var i={x:r},o={k:t,sorted:n},s=Ik.runKernel(_x,i,o);return{values:s[0],indices:s[1]}}});var yE=Lk({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),Ng(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new NC(t,n,r,!0,a),o=GN(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var bE=Lk({unique_:function(e,t){void 0===t&&(t=0);var n=Fk(e,"x","unique","string_or_numeric");Hv(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=Ik.runKernel(Dx,r,a);return{values:i[0],indices:i[1]}}});var xE=Lk({unsortedSegmentSum_:function(e,t,n){var r=Fk(e,"x","unsortedSegmentSum"),a=Fk(t,"segmentIds","unsortedSegmentSum","int32");Hv(Jv(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return Ik.runKernel(Lx,i,o)}});var wE=Lk({unstack_:function(e,t){void 0===t&&(t=0);var n=Fk(e,"x","unstack","string_or_numeric");Hv(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = "+t+" is not in [-"+n.shape.length+", "+n.shape.length+")"}));var r={value:n},a={axis:t};return Ik.runKernel(Mx,r,a)}});function kE(e,t){return RT(e,t,"right")}function NE(e,t,n,r){return void 0===t&&(t=!0),Ik.makeVariable(e,t,n,r)}function IE(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=GN(e,"int32"),i=GN([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function SE(){return(SE=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Fk(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=IE(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var TE=function(e){return SE.apply(this,arguments)};function CE(){return CE=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=Fk(t,"tensor","boolMask"),i=Fk(n,"mask","boolMask","bool"),o=null==r?0:r,s=i.rank,u=a.shape,Hv(s>0,(function(){return"mask cannot be scalar"})),qv(u.slice(o,o+s),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,c=o;c<o+s;c++)l*=u[c];return p=u.slice(0,o).concat([l],u.slice(o+s)),h=DI(a,p),f=DI(i,[-1]),e.next=14,TE(f);case 14:return d=e.sent,m=oE(d,[1]),v=nT(h,m,o),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),h.dispose(),f.dispose(),d.dispose(),e.abrupt("return",v);case 24:case"end":return e.stop()}}),e)}))),CE.apply(this,arguments)}var EE=function(e,t,n){return CE.apply(this,arguments)};var AE=Lk({transpose_:function(e,t,n){var r=Fk(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),Hv(r.rank===t.length,(function(){return"Error in transpose: rank of input "+r.rank+" must match length of perm "+t+"."})),t.forEach((function(e){Hv(e>=0&&e<r.rank,(function(){return"All entries in 'perm' must be between 0 and "+(r.rank-1)+" but got "+t}))})),r.rank<=1)return r.clone();var a={x:r},i={perm:t};return"complex64"===r.dtype?JN((function(){var e=_C(r),t=iT(r);return e=Ik.runKernel(Fx,{x:e},i),t=Ik.runKernel(Fx,{x:t},i),n&&(t=bT(t)),zk(e,t)})):Ik.runKernel(Fx,a,i)}});var RE=Lk({movingAverage_:function(e,t,n,r,a){void 0===a&&(a=!0);var i=Fk(e,"v","movingAverage"),o=Fk(t,"x","movingAverage"),s=Fk(n,"decay","movingAverage");dk(i,o),Hv(Yv(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=GS(1),l=kT(u,s),c=iI(kT(o,i),l);if(a){Hv(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var p=Fk(r,"step","movingAverage");c=aI(c,kT(u,US(s,p)))}return nI(i,c)}});function _E(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: "+n.shape+", indices.shape: "+t.shape+", shape: "+e+", sliceDim: "+r+", and batchDim: "+a+".";if(n.rank<a)throw new Error(i+" update.rank < "+a+". ");if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < "+(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != "+(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape["+o+"] ("+n.shape[o]+") != indices.shape["+o+"] ("+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["+(s+a)+"] ("+n.shape[s+a]+") != shape["+(s+a)+"] ("+e[s+a]+")")}function OE(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 "+t.rank+".");if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher, but the rank was "+e.rank+".");if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: "+t.dtype);if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: "+n);if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: "+t.shape);if(0===e.size)throw new Error("Updates specified for empty output. updates shape: "+e.shape)}_E(n,t,e)}function FE(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:Xv(t.shape)/u,sliceSize:o,strides:[].concat(vg(n.slice(0,a)),[1]),outputSize:Xv(n)}}var DE={__proto__:null,validateUpdateShape:_E,validateInput:OE,calculateShapes:FE};var ME=Lk({scatterND_:function(e,t,n){Ng(n);var r=Fk(e,"indices","scatterND","int32"),a=Fk(t,"updates","scatterND");OE(a,r,n);var i={indices:r,updates:a},o={shape:n};return Ik.runKernel(tx,i,o)}});var LE=Lk({sparseToDense_:function(e,t,n,r){void 0===r&&(r=0),Ng(n);var a=Fk(e,"sparseIndices","sparseToDense","int32"),i=Fk(t,"sparseValues","sparseToDense","string_or_numeric"),o=Fk(r,"defaultValue","sparseToDense",i.dtype);!function(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+e.dtype+".");if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+e.shape+".");var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+i+".");var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+t.shape+", should be [] or ["+a+"]");if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return Ik.runKernel(xx,s,u)}});var zE=Lk({gatherND_:function(e,t){var n=Fk(t,"indices","gatherND","int32"),r={params:Fk(e,"x","gatherND","string_or_numeric"),indices:n};return Ik.runKernel(qy,r)}});var PE=Lk({dropout_:function(e,t,n,r){var a=Fk(e,"x","dropout");if(Hv("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+a.dtype+" tensor instead."})),Hv(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got "+t+"."})),0===t)return e instanceof nk?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(Yv(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=aI(tT(nI(AC(i,0,1,"float32",r),o)),o);return iI(a,s)}});function BE(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function WE(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return pE(a,"float32")}function VE(){return VE=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r=1),a=Fk(t,"predictions","inTopK"),i=Fk(n,"targets","inTopK"),Hv(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, 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t!==a&&a.dispose(),n!==i&&i.dispose(),e.abrupt("return",Bk(p,i.shape,"bool"));case 38:case"end":return e.stop()}}),e)}))),VE.apply(this,arguments)}var UE=function(e,t,n){return VE.apply(this,arguments)};var GE=Lk({conv2DBackpropFilter_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC");var s=e;3===e.rank&&(s=DI(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=DI(t,[1,t.shape[0],t.shape[1],t.shape[2]])),Hv(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."})),Hv(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}));var l="NHWC"===i?s.shape[3]:s.shape[1],c="NHWC"===i?u.shape[3]:u.shape[1];Hv(l===n[2],(function(){return"Error in conv2dDerFilter: depth of input "+l+") must match input depth in filter ("+n[2]+"."})),Hv(c===n[3],(function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must match output depth for filter ("+n[3]+")."})),FI("conv2dDerFilter",a,o);var p={x:s,dy:u},h={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,filterShape:n};return Ik.runKernel(py,p,h)}});function jE(e,t,n){if(null==n||"linear"===n)return e;if("relu"===n)return iI(e,uE(t));throw new Error("Cannot compute gradient for fused activation "+n+".")}function HE(e,t){var n=t,r=wS(e.shape,t.shape);return r.length>0&&(n=qS(n,r)),DI(n,e.shape)}function qE(e,t,n,r){if("linear"===t)return e;if("relu"===t)return FC(e);if("elu"===t)return RS(e);if("relu6"===t)return DC(e);if("prelu"===t)return rC(e,n);if("leakyrelu"===t)return lT(e,r);if("sigmoid"===t)return BI(e);throw new Error("Unknown fused activation "+t+".")}var KE=function(e,t){return!(e>0)||"linear"===t};var XE=Lk({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.bias,p=e.activation,h=void 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rA=Lk({stft_:function(e,t,n,r,a){void 0===a&&(a=tA),null==r&&(r=BE(t));var i=nA(e,t,n),o=iI(i,a(t));return aE(o,r)}});var aA=Lk({cropAndResize_:function(e,t,n,r,a,i){void 0===a&&(a="bilinear"),void 0===i&&(i=0);var o=Fk(e,"image","cropAndResize"),s=Fk(t,"boxes","cropAndResize","float32"),u=Fk(n,"boxInd","cropAndResize","int32"),l=s.shape[0];Hv(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."})),Hv(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."})),Hv(1===u.rank&&u.shape[0]===l,(function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."})),Hv(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),Hv(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),Hv("bilinear"===a||"nearest"===a,(function(){return"method must be 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l=e.sent,c=l[0],p=l[1],h=hA(c,p,r,a,i),f=h.selectedIndices,o!==t&&o.dispose(),s!==n&&s.dispose(),e.abrupt("return",pE(f,"int32"));case 17:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var xA=function(e,t,n,r,a){return bA.apply(this,arguments)};var wA=Lk({nonMaxSuppressionWithScore_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=0);var o=Fk(e,"boxes","nonMaxSuppression"),s=Fk(t,"scores","nonMaxSuppression"),u=uA(o,s,n,r,a,i),l={boxes:o,scores:s},c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},p=Ik.runKernel(_b,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}});function kA(){return(kA=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=0),s=Fk(t,"boxes","nonMaxSuppressionAsync"),u=Fk(n,"scores","nonMaxSuppressionAsync"),l=uA(s,u,r,a,i,o),r=l.maxOutputSize,a=l.iouThreshold,i=l.scoreThreshold,o=l.softNmsSigma,e.next=12,Promise.all([s.data(),u.data()]);case 12:return c=e.sent,p=c[0],h=c[1],f=dA(p,h,r,a,i,o),d=f.selectedIndices,m=f.selectedScores,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:pE(d,"int32"),selectedScores:pE(m)});case 19:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var NA=function(e,t,n,r,a,i){return kA.apply(this,arguments)};var IA=Lk({nonMaxSuppressionPadded_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=!1);var o=Fk(e,"boxes","nonMaxSuppression"),s=Fk(t,"scores","nonMaxSuppression"),u=uA(o,s,n,r,a,null),l={boxes:o,scores:s},c={maxOutputSize:u.maxOutputSize,iouThreshold:u.iouThreshold,scoreThreshold:u.scoreThreshold,padToMaxOutputSize:i},p=Ik.runKernel(Rb,l,c);return{selectedIndices:p[0],validOutputs:p[1]}}});function SA(){return(SA=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m,v,g,y;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=!1),s=Fk(t,"boxes","nonMaxSuppressionAsync"),u=Fk(n,"scores","nonMaxSuppressionAsync"),l=uA(s,u,r,a,i,null),c=l.maxOutputSize,p=l.iouThreshold,h=l.scoreThreshold,e.next=11,Promise.all([s.data(),u.data()]);case 11:return f=e.sent,d=f[0],m=f[1],v=fA(d,m,c,p,h,o),g=v.selectedIndices,y=v.validOutputs,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:pE(g,"int32"),validOutputs:GS(y,"int32")});case 18:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var TA=function(e,t,n,r,a,i){return SA.apply(this,arguments)};var CA=Lk({resizeBilinear_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Fk(e,"images","resizeBilinear");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+t+"."})),Hv(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=DI(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Ik.runKernel(Yb,s,u);return o?DI(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var EA=Lk({resizeNearestNeighbor_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Fk(e,"images","resizeNearestNeighbor");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+t+"."})),Hv("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),Hv(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=DI(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Ik.runKernel(Kb,s,u);return o?DI(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var AA=Lk({threshold_:function(e,t,n,r){void 0===t&&(t="binary"),void 0===n&&(n=!1),void 0===r&&(r=.5);var a,i,o,s,u=Fk(e,"image","threshold"),l=u.shape[0]*u.shape[1],c=iI(pE([r]),255);if(Hv(3===u.rank,(function(){return"Error in threshold: image must be rank 3,but got rank "+u.rank+"."})),Hv(3===u.shape[2]||1===u.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1but got "+u.shape[2]+"."})),Hv("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,but got dtype "+u.dtype+"."})),Hv("otsu"===t||"binary"===t,(function(){return"Method must be binary or otsu, but was "+t})),3===u.shape[2]){var p=rE(u,[1,1,1],-1);a=p[0],i=p[1],o=p[2];var h=iI(a,.2989),f=iI(i,.587),d=iI(o,.114);s=nI(nI(h,f),d)}else s=e;"otsu"===t&&(c=function(e,t){for(var n,r,a,i,o,s,u=pE([-1]),l=pE([0]),c=pE([0]),p=0;p<e.size-1;p++){n=WI(e,0,p+1),r=WI(e,p+1),o=aI(qS(n),t),s=aI(qS(r),t);var h=qS(iI(n,RC(0,n.size)));a=aI(h,qS(n));var f=QI(r.shape,n.size),d=nI(RC(0,r.size),f),m=iI(r,d);i=aI(qS(m),qS(r));var v=kT(a,i),g=kT(a,i),y=iI(o,s);c=iI(iI(y,v),g);var b=rT(c,l);l=SS(b,c,l),u=SS(b,pE([p]),u)}return u}(XI(jN(WC(s),"int32"),Bk([]),256),l));var m=n?pT(s,c):rT(s,c);return jN(iI(m,255),"int32")}});var RA=Lk({transform_:function(e,t,n,r,a,i){void 0===n&&(n="nearest"),void 0===r&&(r="constant"),void 0===a&&(a=0);var o=Fk(e,"image","transform","float32"),s=Fk(t,"transforms","transform","float32");Hv(4===o.rank,(function(){return"Error in transform: image must be rank 4,but got rank "+o.rank+"."})),Hv(2===s.rank&&(s.shape[0]===o.shape[0]||1===s.shape[0])&&8===s.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),Hv(null==i||2===i.length,(function(){return"Error in transform: outputShape must be [height, width] or null, but got "+i+"."}));var u={image:o,transforms:s},l={interpolation:n,fillMode:r,fillValue:a,outputShape:i};return Ik.runKernel(Ox,u,l)}});var _A=Lk({bandPart_:function(e,t,n){Hv(t%1==0,(function(){return"bandPart(): numLower must be an integer, got "+t+"."})),Hv(n%1==0,(function(){return"bandPart(): numUpper must be an integer, got "+n+"."}));var r=Fk(e,"a","bandPart");Hv(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got "+r.rank+"."}));var a=r.shape,i=r.shape.slice(-2),o=i[0],s=i[1];if(!(t<=o))throw new Error("bandPart(): numLower ("+t+") must not be greater than the number of rows ("+o+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");t<0&&(t=o),n<0&&(n=s);var u=DI(RC(0,o,1,"int32"),[-1,1]),l=RC(0,s,1,"int32"),c=kT(u,l),p=ST(pT(c,GS(+t,"int32")),aT(c,GS(-n,"int32"))),h=zT([o,s],r.dtype);return DI(sE(wE(DI(r,[-1,o,s])).map((function(e){return SS(p,e,h)}))),a)}});var OA=Lk({gramSchmidt_:function(e){var t;Array.isArray(e)?function(){t=!1,Hv(null!=e&&e.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=e[0].shape[0],r=function(t){Hv(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+e[t].shape[0]+" vs. "+n+")"}))},a=1;a<e.length;++a)r(a)}():(t=!0,e=rE(e,e.shape[0],0).map((function(e){return oE(e,[0])}))),Hv(e.length<=e[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+e.length+") exceeds number of dimensions ("+e[0].shape[0]+")."}));for(var n=[],r=e,a=function(e){n.push(Ik.tidy((function(){var t=r[e];if(e>0)for(var a=0;a<e;++a){var i=iI(qS(iI(n[a],t)),n[a]);t=kT(t,i)}return aI(t,XS(t,"euclidean"))})))},i=0;i<e.length;++i)a(i);return t?sE(n,0):n}});function FA(e,t){return void 0===t&&(t=!1),Ik.tidy((function(){Hv(2===e.shape.length,(function(){return"qr2d() requires a 2D Tensor, but got a "+e.shape.length+"D Tensor."}));for(var n=e.shape[0],r=e.shape[1],a=eT(n),i=HN(e),o=hE([[1]],[1,1]),s=HN(o),u=n>=r?r:n,l=function(e){var t=i,u=s,l=a,c=Ik.tidy((function(){var t=WI(i,[e,e],[n-e,1]),u=XS(t),l=WI(i,[e,e],[1,1]),c=SS(rT(l,0),hE([[-1]]),hE([[1]])),p=kT(l,iI(c,u)),h=aI(t,p);s=1===h.shape[0]?HN(o):zI([o,WI(h,[1,0],[h.shape[0]-1,h.shape[1]])],0);var f=bT(aI(PI(c,p),u)),d=WI(i,[e,0],[n-e,r]),m=iI(f,s),v=AE(s);if(0===e)i=kT(d,PI(m,PI(v,d)));else{var g=kT(d,PI(m,PI(v,d)));i=zI([WI(i,[0,0],[e,r]),g],0)}var y=AE(m),b=WI(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=kT(b,PI(PI(b,s),y));else{var x=kT(b,PI(PI(b,s),y));a=zI([WI(a,[0,0],[n,e]),x],1)}return[s,i,a]}));s=c[0],i=c[1],a=c[2],ZN([t,u,l])},c=0;c<u;++c)l(c);return!t&&n>r&&(a=WI(a,[0,0],[n,r]),i=WI(i,[0,0],[r,r])),[a,i]}))}var DA,MA=Lk({qr_:function(e,t){if(void 0===t&&(t=!1),Hv(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank "+e.rank})),2===e.rank)return FA(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=wE(DI(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],i=[];return r.forEach((function(e){var n=FA(e,t),r=n[0],o=n[1];a.push(r),i.push(o)})),[DI(sE(a,0),e.shape),DI(sE(i,0),e.shape)]}});(DA=e.Reduction||(e.Reduction={}))[DA.NONE=0]="NONE",DA[DA.MEAN=1]="MEAN",DA[DA.SUM=2]="SUM",DA[DA.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";var LA=Lk({computeWeightedLoss_:function(t,n,r){void 0===r&&(r=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=Fk(t,"losses","computeWeightedLoss"),i=null;null!=n&&(i=Fk(n,"weights","computeWeightedLoss"));var o=null==i?a:iI(a,i);if(r===e.Reduction.NONE)return o;if(r===e.Reduction.SUM)return qS(o);if(r===e.Reduction.MEAN){if(null==i)return LT(o);var s=a.size/i.size,u=aI(qS(o),qS(i));return s>1?aI(u,GS(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return aI(qS(o),GS(a.size));var l=iI(i,PT(a.shape)),c=jN(qS(qT(l,GS(0))),"float32");return aI(qS(o),c)}throw Error("Unknown reduction: "+r)}});var zA=Lk({absoluteDifference_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Fk(t,"labels","absoluteDifference"),o=Fk(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=Fk(r,"weights","absoluteDifference")),qv(i.shape,o.shape,"Error in absoluteDifference: ");var u=oI(kT(i,o));return LA(u,s,a)}});var PA=Lk({cosineDistance_:function(t,n,r,a,i){void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Fk(t,"labels","cosineDistance"),s=Fk(n,"predictions","cosineDistance"),u=null;null!=a&&(u=Fk(a,"weights","cosineDistance")),qv(o.shape,s.shape,"Error in cosineDistance: ");var l=GS(1),c=kT(l,qS(iI(o,s),r,!0));return LA(c,u,i)}});var BA=Lk({hingeLoss_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Fk(t,"labels","hingeLoss"),o=Fk(n,"predictions","hingeLoss"),s=null;null!=r&&(s=Fk(r,"weights","hingeLoss")),qv(i.shape,o.shape,"Error in hingeLoss: ");var u=GS(1);i=kT(iI(GS(2),i),u);var l=FC(kT(u,iI(i,o)));return LA(l,s,a)}});var WA=Lk({huberLoss_:function(t,n,r,a,i){void 0===a&&(a=1),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Fk(t,"labels","huberLoss"),s=Fk(n,"predictions","huberLoss"),u=null;null!=r&&(u=Fk(r,"weights","huberLoss")),qv(o.shape,s.shape,"Error in huberLoss: ");var l=GS(a),c=oI(kT(s,o)),p=WT(c,l),h=kT(c,p),f=nI(iI(GS(.5),HS(p)),iI(l,h));return LA(f,u,i)}});var VA=Lk({logLoss_:function(t,n,r,a,i){void 0===a&&(a=1e-7),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Fk(t,"labels","logLoss"),s=Fk(n,"predictions","logLoss"),u=null;null!=r&&(u=Fk(r,"weights","logLoss")),qv(o.shape,s.shape,"Error in logLoss: ");var l=GS(1),c=GS(a),p=bT(iI(o,dT(nI(s,c)))),h=iI(kT(l,o),dT(nI(kT(l,s),c))),f=kT(p,h);return LA(f,u,i)}});var UA=Lk({meanSquaredError_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Fk(t,"labels","meanSquaredError"),o=Fk(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=Fk(r,"weights","meanSquaredError")),qv(i.shape,o.shape,"Error in meanSquaredError: ");var u=iE(i,o);return LA(u,s,a)}});var GA=Lk({sigmoidCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Fk(t,"multiClassLabels","sigmoidCrossEntropy"),s=Fk(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=Fk(r,"weights","sigmoidCrossEntropy")),qv(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var l=GS(a),c=GS(1),p=GS(.5);o=nI(iI(o,kT(c,l)),iI(p,l))}var h=function(e,t){var n=Fk(e,"labels","sigmoidCrossEntropyWithLogits"),r=Fk(t,"logits","sigmoidCrossEntropyWithLogits");qv(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=FC(r),i=iI(r,n),o=mT(JS(bT(oI(r))));return nI(kT(a,i),o)}(o,s);return LA(h,u,i)}});var jA=Lk({softmaxCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Fk(t,"onehotLabels","softmaxCrossEntropy"),s=Fk(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=Fk(r,"weights","softmaxCrossEntropy")),qv(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var l=GS(a),c=GS(1),p=GS(o.shape[1]);o=nI(iI(o,kT(c,l)),aI(l,p))}var h=function(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+t.rank+" and dim was "+n);var r=gT((function(e,t,r){var a=IT(t,[n],!0),i=kT(jN(t,"float32"),a);r([e,i]);var o=bT(iI(i,e));return{value:qS(o,[n]),gradFunc:function(e,t){var r=t[0],a=t[1],i=MS(e.shape,[n]);return[iI(DI(e,i),kT(jN(r,"float32"),JS(a))),iI(DI(e,i),kT(JS(a),jN(r,"float32")))]}}}));return r(e,t)}(o,s);return LA(h,u,i)}});var HA=Lk({sparseFillEmptyRows_:function(e,t,n,r){var a=Fk(e,"indices","sparseFillEmptyRows","int32"),i=Fk(t,"values","sparseFillEmptyRows"),o=Fk(n,"denseShape","sparseFillEmptyRows","int32"),s=Fk(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n "+a.shape);if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape "+i.shape);if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape "+o.shape);if(0!==s.rank)throw new Error("Default value should be a scalar but received shape "+s.shape);var u={indices:a,values:i,denseShape:o,defaultValue:s},l=Ik.runKernel(vx,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}});var qA=Lk({sparseReshape_:function(e,t,n){var r=Fk(e,"inputIndices","sparseReshape","int32"),a=Fk(t,"inputShape","sparseReshape","int32"),i=Fk(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n "+r.shape);if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape "+a.shape);if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape "+i.shape);var o={inputIndices:r,inputShape:a,newShape:i},s=Ik.runKernel(gx,o);return{outputIndices:s[0],outputShape:s[1]}}});var KA=Lk({sparseSegmentMean_:function(e,t,n){var r=Fk(e,"data","sparseSegmentMean"),a=Fk(t,"indices","sparseSegmentMean","int32"),i=Fk(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n "+i.shape);var o={data:r,indices:a,segmentIds:i};return Ik.runKernel(yx,o)}});var XA=Lk({sparseSegmentSum_:function(e,t,n){var r=Fk(e,"data","sparseSegmentSum"),a=Fk(t,"indices","sparseSegmentSum","int32"),i=Fk(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n "+i.shape);var o={data:r,indices:a,segmentIds:i};return Ik.runKernel(bx,o)}});var YA=Lk({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=Fk(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: "+u.shape);var l=Fk(t,"dataSplits","stringNGrams");if("int32"!==l.dtype)throw new Error("Data splits must be of datatype int32");var c={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},p={data:u,dataSplits:l},h=Ik.runKernel(Ix,p,c);return{nGrams:h[0],nGramsSplits:h[1]}}});var JA=Lk({stringSplit_:function(e,t,n){void 0===n&&(n=!0);var r=Fk(e,"input","stringSplit","string"),a=Fk(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape "+r.shape);if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape "+a.shape);var i={skipEmpty:n},o={input:r,delimiter:a},s=Ik.runKernel(Sx,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var ZA=Lk({stringToHashBucketFast_:function(e,t){var n=Fk(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return 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e,n=nI(iI(t.m,i),o);e=t.useNesterov?nI(iI(t.c,nI(o,iI(n,t.m))),a):nI(iI(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()},n.dispose=function(){this.m.dispose(),null!=this.accumulations&&ZN(this.accumulations.map((function(e){return e.variable})))},n.setMomentum=function(e){this.momentum=e},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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e.apply(this,arguments)}}(),t.load=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.fetch(this.path,this.requestInit);case 2:if((t=e.sent).ok){e.next=5;break}throw new Error("Request to "+this.path+" failed with status code "+t.status+". 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got "+e.length);t=e[0]}else t=e;return t}function xM(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new BF("Expected exactly 1 Shape; got "+e.length)}return e}function wM(e){for(var t,n=0,r=Lv(e);!(t=r()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}return n}var kM="Variable",NM=function(){function e(e,t,n,r,a){void 0===t&&(t="float32"),void 0===n&&(n=kM),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=lD(),n=null==n?kM:n,this.originalName=ND(n),this.name=ID(this.originalName),this.trainable_=r,this.constraint=a,this.val=NE(e,this.trainable_,this.name,this.dtype)}var t=e.prototype;return t.read=function(){return this.assertNotDisposed(),this.val},t.write=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},t.dispose=function(){this.assertNotDisposed(),this.val.dispose()},t.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Tv(e,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function IM(e){return e.map((function(e){return e.read()}))}function SM(e){e.forEach((function(e){e[0].write(e[1])}))}var TM=function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}},CM=function(e,t,n,r,a,i,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=lD(),null!=i&&(this.originalName=ND(i),this.name=ID(this.originalName)),this.rank=t.length},EM=0,AM=function(){function e(e,t){this.callArgs=t,this.id=EM++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n,r=Lv(e.inboundLayers);!(n=r()).done;){var a=n.value;null!=a&&a.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e,t=[],n=Lv(this.inboundLayers);!(e=n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),RM=0,_M=function(e){function t(t){var n;void 0===t&&(t={}),(n=e.call(this)||this)._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=RM++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var a=n.getClassName();r=XF(a)+"_"+pD(a)}if(n.name=r,n.trainable_=null==t.trainable||t.trainable,null!=t.inputShape||null!=t.batchInputShape){var i;if(null!=t.batchInputShape)i=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),i=[o].concat(t.inputShape)}n.batchInputShape=i;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}Cv(t,e),t.nodeKey=function(e,t){return e.name+"_ib-"+t.toString()};var n=t.prototype;return n.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new PF("The layer has never been called and thus has no defined "+t+".");if(this.inboundNodes.length<=e)throw new BF("Asked to get "+t+" at node "+e+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[e]},n.getInputAt=function(e){return qF(this.getNodeAtIndex(e,"input").inputTensors)},n.getOutputAt=function(e){return qF(this.getNodeAtIndex(e,"output").outputTensors)},n.calculateLosses=function(){return this.losses.map((function(e){return e()}))},n.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},n.assertInputCompatibility=function(e){if(e=KF(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=KF(this.inputSpec);if(e.length!==t.length)throw new BF("Layer "+this.name+" expects "+t.length+" inputs, but it received "+e.length+" input tensors. Input received: "+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 BF("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new BF("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new BF("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new BF("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new BF("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var p=0;p<a.shape.length;++p){var h=a.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new BF("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape="+r.shape+".")}}}}},n.call=function(e,t){return e},n.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},n.setCallHook=function(e){this._callHook=e},n.clearCallHook=function(){this._callHook=null},n.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r,a=KF(e),i=!0,o=Lv(a);!(r=o()).done;){if(!(r.value instanceof CM)){i=!1;break}}for(var s,u=!0,l=Lv(a);!(s=l()).done;){if(s.value instanceof CM){u=!1;break}}if(i===u)throw new BF("Arguments to apply() must be all SymbolicTensors or all Tensors");return kD(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);for(var r,i=[],o=Lv(KF(e));!(r=o()).done;){var s=r.value;i.push(s.shape)}n.build(qF(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&u&&(n._refCount=1)}if(n.assertInputCompatibility(e),u){for(var l,c=n.call(e,t),p=[],h=Lv(KF(c));!(l=h()).done;){var f=l.value;-1!==a.indexOf(f)&&(f=f.clone()),p.push(f)}if(c=qF(p),null!=n.activityRegularizer)throw new WF("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,m=function(e){e=KF(e);for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;n.push(a.shape)}return qF(n)}(e),v=n.computeOutputShape(m),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?m[0]:m),d=null!=v&&v.length>0&&Array.isArray(v[0])?v.map((function(r,a){return new CM(g,r,n,KF(e),t,n.name,a)})):new CM(g,v,n,KF(e),t,n.name),n.addInboundNode(e,d,null,null,m,v,t),n._refCount++,null!=n.activityRegularizer)throw new WF("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))},n.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+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 ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},n.countParams=function(){if(!this.built)throw new PF("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return wM(this.weights)},n.build=function(e){this.built=!0},n.getWeights=function(e){return void 0===e&&(e=!1),IM(e?this.trainableWeights:this.weights)},n.setWeights=function(e){var t=this;JN((function(){var n=t.weights;if(n.length!==e.length)throw new BF('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+e+"...");if(0!==n.length){for(var r=[],a=IM(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!Yv(o.shape,u.shape))throw new BF("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}SM(r)}}))},n.addWeight=function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new BF("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():vM("zeros"));var u=r.apply(t,n),l=new NM(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(l.read())})),null==i&&(i=!0),i?this._trainableWeights.push(l):this._nonTrainableWeights.push(l),l},n.setFastWeightInitDuringBuild=function(e){this.fastWeightInitDuringBuild=e},n.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=KF(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},n.computeOutputShape=function(e){return e},n.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")}))}return null}return t},n.addInboundNode=function(e,t,n,r,a,i,o){void 0===o&&(o=null);var s=KF(e);t=KF(t),n=KF(n),r=KF(r),a=yM(a),i=yM(i);for(var u,l=[],c=[],p=[],h=Lv(s);!(u=h()).done;){var f=u.value;l.push(f.sourceLayer),c.push(f.nodeIndex),p.push(f.tensorIndex)}new AM({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,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},n.getConfig=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},n.disposeWeights=function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length},n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},n.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+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}},Tv(t,[{key:"input",get:function(){if(this.inboundNodes.length>1)throw new zF("Layer "+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 zF("Layer "+this.name+" is not connected, no input to return.");return qF(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new zF("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new zF("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return qF(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{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:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new zF("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e,t=[],n=Lv(this.inboundNodes);!(e=n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}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 zF("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}}]),t}(iR);function OM(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++)for(var o,s=Lv(OM(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));!(o=s()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}return a}var FM=function(e){function t(t){var n;if(n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:pD("input").toString()})||this,null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new BF("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new BF("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new BF("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=t.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var i=new CM(n.dtype,n.batchInputShape,Fv(n),[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new AM({outboundLayer:Fv(n),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}Cv(t,e);var n=t.prototype;return n.apply=function(e,t){throw new BF("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},n.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},n.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t}(_M);function DM(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 BF("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 FM({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}FM.className="InputLayer",sR(FM);var MM=function(){function e(t){if(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;for(var r,a=Lv(t);!(r=a()).done;){var i=r.value;this.add(i.key,i.value)}}}var t=e.prototype;return t.add=function(e,t,n){if(null!=this.id2Value[e.id])throw new BF("Duplicate key: name="+e.name+", id="+e.id);return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return jN(t,e.dtype)}catch(n){throw new 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QM={__proto__:null,maxNorm:function(e){return new jM(e)},unitNorm:function(e){return new HM(e)},nonNeg:function(){return new qM},minMaxNorm:function(e){return new KM(e)}};var $M,eL={__proto__:null,zeros:function(){return new QD},ones:function(){return new $D},constant:function(e){return new eM(e)},randomUniform:function(e){return new tM(e)},randomNormal:function(e){return new nM(e)},truncatedNormal:function(e){return new rM(e)},identity:function(e){return new aM(e)},varianceScaling:function(e){return new iM(e)},glorotUniform:function(e){return new oM(e)},glorotNormal:function(e){return new sM(e)},heNormal:function(e){return new uM(e)},heUniform:function(e){return new lM(e)},leCunNormal:function(e){return new cM(e)},leCunUniform:function(e){return new pM(e)},orthogonal:function(e){return new hM(e)}};function tL(e){return nL.apply(this,arguments)}function nL(){return nL=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 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e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}var t=e.prototype;return t.append=function(e){this.callbacks.push(e)},t.setParams=function(e){for(var t,n=Lv(this.callbacks);!(t=n()).done;){t.value.setParams(e)}},t.setModel=function(e){for(var t,n=Lv(this.callbacks);!(t=n()).done;){t.value.setModel(e)}},t.onEpochBegin=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchBegin=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainBegin(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.onTrainEnd=function(){var e=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainEnd(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}(),oL=function(e){function t(){return e.call(this)||this}Cv(t,e);var n=t.prototype;return n.onEpochBegin=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.seen=0,this.totals={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onBatchEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(i in null==n&&(n={}),r=null==n.size?0:n.size,this.seen+=r,a=function(e){var t=n[e];if("number"==typeof t)o.totals.hasOwnProperty(e)||(o.totals[e]=0),o.totals[e]=o.totals[e]+t*r;else{var a;e in o.totals?a=o.totals[e]:o.totals[e]=0;var i=JN((function(){return nI(o.totals[e],iI(t,r))}));o.totals[e]=i,null!=a&&a.dispose()}},n)a(i);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n){e.next=9;break}r=function(){var e=i.value;if(null==o.totals[e])return"continue";"number"==typeof o.totals[e]?n[e]=o.totals[e]/o.seen:JN((function(){var t=iI(aI(1,o.seen),o.totals[e]);n[e]=t,o.totals[e].dispose(),QN(n[e])}))},a=Lv(this.params.metrics);case 3:if((i=a()).done){e.next=9;break}if("continue"!==r()){e.next=7;break}return e.abrupt("continue",7);case 7:e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t}(aL),sL=function(e){function t(){return e.apply(this,arguments)||this}Cv(t,e);var n=t.prototype;return n.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.epoch=[],this.history={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(r in null==n&&(n={}),this.epoch.push(t),n)null==this.history[r]&&(this.history[r]=[]),this.history[r].push(n[r]);case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.syncData=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a in t=[],n=[],r=[],this.history)for(i=this.history[a],o=0;o<i.length;++o)"number"!=typeof i[o]&&(s=i[o],t.push(s.data()),n.push(a),r.push(o));return e.next=6,Promise.all(t);case 6:for(u=e.sent,l=0;l<u.length;++l)this.history[n[l]][r[l]].dispose(),this.history[n[l]][r[l]]=u[l][0];case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(aL),uL=function(e){function t(t,n){var r;if((r=e.call(this)||this).currentEpoch=0,r.nowFunc=t.nowFunc,r.nextFrameFunc=t.nextFrameFunc||m_,r.yieldEvery=n||"auto","auto"===r.yieldEvery&&(r.yieldEvery=125),"never"===r.yieldEvery&&null!=t.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. 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o=a.value;e.numDisposedVariables+=o.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},n.loadWeights=function(e,t){void 0===t&&(t=!0);for(var n,r={},a=0,i=Lv(this.layers);!(n=i()).done;)for(var o,s=Lv(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new BF("Duplicate weight name: "+u.originalName);r[u.originalName]=u,a++}var l=[];for(var c in e){var p=c;if(null==r[c]){var h=c.split("/");p=h.slice(0,-2).concat([h[h.length-1]]).join("/")}if(null!=r[p])l.push([r[p],e[c]]);else if(t)throw new BF("Provided weight data has no target variable: "+c);delete r[p]}if(t){var f=[];for(var d in r)f.push(d);if(f.length>0)throw new BF(f.length+" of "+a+" weights are not set: "+f)}SM(l)},n.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers 4.2.0",t.backend="TensorFlow.js",t},n.toJSON=function(e,t){void 0===t&&(t=!0);var n=qL(this.updatedConfig());return t?JSON.stringify(n):n},n.call=function(e,t){var n=this;return JN((function(){e=KF(e);for(var r=new MM,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return PM(n.outputs,r,t)}))},n.computeMask=function(e,t){var n=this;return JN((function(){var r;return e=KF(e),r=null==t?GF(null,e.length):KF(t),n.runInternalGraph(e,r)[1]}))},n.computeOutputShape=function(e){var t=yM(e);if(t.length!==this.inputLayers.length)throw new BF("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(eD);if(o.length>1)for(var s,u=Lv(o);!(s=u()).done;)for(var l,c=s.value,p=Lv(this.nodesByDepth[c]);!(l=p()).done;){var h=l.value,f=h.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],m=0;m<h.inboundLayers.length;m++){var v=h.inboundLayers[m],g=h.nodeIndices[m],y=h.tensorIndices[m],b=n[v.name+"_"+g+"_"+y];d.push(b)}for(var x=yM(f.computeOutputShape(qF(d))),w=f.inboundNodes.indexOf(h),k=0;k<x.length;k++){n[f.name+"_"+w+"_"+k]=x[k]}}}for(var N=[],I=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],C=this.outputLayersNodeIndices[S],E=this.outputLayersTensorIndices[S],A=T.name+"_"+C+"_"+E;I.push(A)}for(var R=0;R<I.length;R++){var _=I[R];jF(_ in n),N.push(n[_])}return qF(N)},n.runInternalGraph=function(e,t){null==t&&(t=GF(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}for(var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(eD),l=Lv(u);!(s=l()).done;)for(var c,p=s.value,h=Lv(this.nodesByDepth[p]);!(c=h()).done;){for(var f,d=c.value,m=d.outboundLayer,v=d.inputTensors,g=d.outputTensors,y=new Array,b=Lv(v);!(f=b()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}if(y.length===v.length){var w={},k=void 0,N=void 0,I=void 0,S=void 0;if(null!=d.callArgs&&(w=d.callArgs),1===y.length){var T=y[0],C=T[0],E=T[1];null==w.mask&&(w.mask=E),I=KF(m.call(C,w)),S=KF(m.computeMask(C,E)),k=[C],N=[E]}else k=y.map((function(e){return e[0]})),N=y.map((function(e){return e[1]})),null==w.mask&&(w.mask=N),I=KF(m.call(k,w)),S=KF(m.computeMask(k,N));if(m.activityRegularizer)throw new WF("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var A=0;A<g.length;++A){var R=g[A],_=I[A],O=S[A];n[R.id]=[_,O]}}}for(var F,D=[],M=[],L=[],z=Lv(this.outputs);!(F=z()).done;){var P=F.value;jF(P.id in n,"Could not compute output "+P.name+" : "+P.id);var B=n[P.id],W=B[0],V=B[1];L.push(W.shape),D.push(W),M.push(V)}return[D,M,L]},n.buildNodeConversionMap=function(e){for(var n,r,a={},i=Lv(this.layers);!(r=i()).done;){var o=r.value;n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=t.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=n,n+=1)}}return a},n.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new BF("Was asked to retrieve layer at index "+t+", but model only has "+this.layers.length+" layer(s).");return this.layers[t]}if(null==e)throw new BF("Provide either a layer name or layer index");for(var n,r=Lv(this.layers);!(n=r()).done;){var a=n.value;if(a.name===e)return a}throw new BF("No such layer: "+e)},n.calculateLosses=function(){var e=this;return JN((function(){for(var n,r=[],a=Lv(e.layers);!(n=a()).done;)for(var i=n.value,o=0;o<i.inboundNodes.length;++o){var s=t.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,i.calculateLosses())}return r}))},n.getConfig=function(){for(var e,n={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=Lv(this.layers);!(e=i()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),l=[],c=0;c<o.inboundNodes.length;c++){var p=o.inboundNodes[c],h=t.nodeKey(o,c),f={};if(this.containerNodes.has(h)){if(p.callArgs)try{JSON.stringify(p.callArgs),f=p.callArgs}catch(e){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+p.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),f={}}if(p.inboundLayers.length>0){for(var d=[],m=0;m<p.inboundLayers.length;m++){var v=p.inboundLayers[m],g=p.nodeIndices[m],y=p.tensorIndices[m],b=r[t.nodeKey(v,g)];null==b&&(b=0),d.push([v.name,b,y,f])}l.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=l,a.push(x)}n.layers=a;for(var w=[],k=0;k<this.inputLayers.length;k++){var N=this.inputLayers[k],I=this.inputLayersNodeIndices[k],S=t.nodeKey(N,I);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var C=this.inputLayersTensorIndices[k];w.push([N.name,T,C])}}n.inputLayers=w;for(var E=[],A=0;A<this.outputLayers.length;A++){var R=this.outputLayers[A],_=this.outputLayersNodeIndices[A],O=t.nodeKey(R,_);if(this.containerNodes.has(O)){var F=r[O];null==F&&(F=0);var D=this.outputLayersTensorIndices[A];E.push([R.name,F,D])}}return n.outputLayers=E,n},t.fromConfig=function(e,t,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var a={},i={};function o(e,t){e.name in i?i[e.name].push(t):i[e.name]=[t]}function s(e,t){for(var n,r,i=[],s=Lv(t);!(r=s()).done;){var u=r.value,l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in a))return void o(e,t);var h=a[l];if(h.inboundNodes.length<=c)return void o(e,t);var f=h.inboundNodes[c];i.push(f.outputTensors[p])}i.length>0&&e.apply(qF(i),n)}function u(e){var n=e.name,i=hL(e,null!=t.customObjects?t.customObjects:{});i.setFastWeightInitDuringBuild(r),a[n]=i,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new BF("Corrupted configuration, expected array for nodeData: "+e);o(i,e)}))}for(var l,c=t.name,p=t.layers,h=Lv(p);!(l=h()).done;){u(l.value)}for(;!nD(i);)for(var f,d=Lv(p);!(f=d()).done;){var m=f.value,v=a[m.name];if(v.name in i){var g=i[v.name];delete i[v.name];for(var y,b=Lv(g);!(y=b()).done;){s(v,y.value)}}}for(var x,w=[],k=[],N=Lv(t.inputLayers);!(x=N()).done;){var I=x.value,S=I[0],T=I[1],C=I[2];jF(S in a);var E=a[S].inboundNodes[T].outputTensors;w.push(E[C])}for(var A,R=Lv(t.outputLayers);!(A=R()).done;){var _=A.value,O=_[0],F=_[1],D=_[2];jF(O in a);var M=a[O].inboundNodes[F].outputTensors;k.push(M[D])}return new e({inputs:w,outputs:k,name:c})},n.resetStates=function(){var e=this;JN((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))},Tv(t,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.layers.forEach((function(t){t._trainableWeights.forEach((function(t){return t.trainable=e}))})),this.trainable_=e}},{key:"trainableWeights",get:function(){if(this._trainableWeights.length>0)throw new BF("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e,t=[],n=Lv(this.layers);!(e=n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Lv(this.layers);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Lv(this.layers);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){if(this._stateful)throw new BF("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e,t=Lv(this.layers);!(e=t()).done;){if(e.value.stateful)return!0}return!1}}]),t}(_M);function YL(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"==typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided "+n+" is an array of "+e.length+" element(s), but the model has "+r+" outputs. Make sure a set of weights is provided for each model output.");return e}if("object"==typeof e&&Object.keys(e).length>0&&"object"==typeof e[Object.keys(e)[0]]){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple ("+r+") outputs, so "+n+" must be either an array with "+r+" elements or an object with "+t+" keys. Provided "+n+" not understood: "+JSON.stringify(e))}function JL(e,t){return YL(e,t,"classWeight")}function ZL(e,t,n,r){return QL.apply(this,arguments)}function QL(){return(QL=Iv(kv().mark((function e(t,n,r,a){var i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=JN((function(){if(1===t.shape.length)return HN(t);if(2===t.shape.length){if(t.shape[1]>1){return hI(t,1)}if(1===t.shape[1])return DI(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+t.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+t.rank+") during handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,o=e.t0.from.call(e.t0,e.t1),ZN(i),s=[],o.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. The class "+e+" exists in the data but not in classWeight");s.push(r[e])})),e.abrupt("return",pE(s,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function $L(e,t){return iI(e,t)}function ez(e,t){var n,r,a=t;n=a.xs,r=a.ys,Hv(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates "+t}));var i=tz("input",e.inputNames,n),o=tz("output",e.outputNames,r),s=i[0].shape[0];Hv(i.length===e.inputs.length,(function(){return"LayersModel has "+e.inputs.length+" inputs, but the dataset provides "+i.length+" inputs. (Expected input keys: "+JSON.stringify(e.inputNames)+")"})),Hv(o.length===e.outputs.length,(function(){return"LayersModel has "+e.outputs.length+" outputs, but the dataset provides "+o.length+" outputs. (Expected output keys: "+JSON.stringify(e.outputNames)+")"}));for(var u=function(t){Hv(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+e.inputNames[t]+" has "+i[t].shape[0]+"; expected "+s+" based on input "+e.inputNames[0]+"."}))},l=0;l<i.length;l++)u(l);for(var c=function(t){Hv(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+e.outputNames[t]+" has "+o[t].shape[0]+"; expected "+s+" based on input "+e.inputNames[0]+"."}))},p=0;p<o.length;p++)c(p);return{xs:i,ys:o}}function tz(e,t,n){if(n instanceof nk)return[n];if(Array.isArray(n))return Hv(n.length===t.length,(function(){return"Received an array of "+n.length+" Tensors, but expected "+t.length+" to match the "+e+" keys "+t+"."})),n;for(var r,a=[],i=Lv(t);!(r=i()).done;){var o=r.value;if(null==n[o])throw new BF("The feature data generated by the dataset lacks the required "+e+" key '"+o+"'.");a.push(n[o])}return a}function nz(e){if(3===e.length)throw new WF("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function rz(e,t,n){return az.apply(this,arguments)}function az(){return az=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,C,E,A,R,_,O,F,D,M,L;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,Hv(null!=t.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),Hv(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),Hv(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+r.epochs})),Hv(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+r.batchesPerEpoch})),Hv(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(oz(r.validationData)?Hv(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+r.validationBatches})):(u=nz(r.validationData),o=u.xs,s=u.ys)),l=t.makeTrainFunction(),c=t.getDedupedMetricsNames(),p=i?c.slice().concat(c.map((function(e){return"val_"+e}))):c.slice(),h=lL(r.callbacks,r.yieldEvery),f=null==r.verbose?1:r.verbose,d=pL(h,f,r.epochs,null,null,iz(n,r),null,i,p),m=d.callbackList,v=d.history,m.setModel(t),t.history=v,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,g=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:y=e.sent;case 27:if(!(g<r.epochs)){e.next=98;break}return b={},e.next=31,m.onEpochBegin(g);case 31:if(x=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:y=e.sent;case 37:if(a&&!(x<r.batchesPerEpoch)){e.next=91;break}return e.next=40,y.next();case 40:if(k=e.sent,!a||!k.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+r.batchesPerEpoch+", but your dataset iterator ran out of data after "+x+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+r.batchesPerEpoch*r.epochs+" batches). You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==k.value){e.next=73;break}return N=ez(t,k.value),I=N.xs,S=N.ys,(T={}).batch=w,T.size=I[0].shape[0],e.next=51,m.onBatchBegin(w,T);case 51:if(C=[],null==r.classWeight){e.next=64;break}E=JL(r.classWeight,t.outputNames),A=0;case 55:if(!(A<E.length)){e.next=64;break}return e.t0=C,e.next=59,ZL(S[A],null,E[A]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++A,e.next=55;break;case 64:for(R=I.concat(S).concat(C),_=l(R),ZN(R),O=0;O<c.length;++O)F=c[O],D=_[O],T[F]=D,QN(D);return e.next=70,m.onBatchEnd(w,T);case 70:rL(T),w++,x++;case 73:if(!(a?x>=r.batchesPerEpoch:k.done)){e.next=87;break}if(!i){e.next=86;break}if(M=void 0,!oz(r.validationData)){e.next=84;break}return e.t2=KF,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,M=(0,e.t2)(e.t3),e.next=85;break;case 84:M=KF(t.evaluate(o,s,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(L=0;L<t.metricsNames.length;++L)b["val_"+t.metricsNames[L]]=M[L];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(g,b);case 93:if(g++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),az.apply(this,arguments)}function iz(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function oz(e){return"function"==typeof e.iterator}function sz(e){return"function"==typeof e.next}function uz(e,t,n){return lz.apply(this,arguments)}function lz(){return lz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,o=[],!(r.verbose>0)){e.next=6;break}throw new WF("Verbose mode is not implemented yet.");case 6:if(Hv(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(r.batches)})),!sz(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:s=e.t0,u=0,l=0,c=kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=JN((function(){return n.value&&function(){var e=ez(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),c=JN((function(){return i(s)}));if(ZN(s),0===l)for(var p=0;p<c.length;++p)o.push(GS(0));for(var h=s[0].shape[0],f=function(e){var t=c[e],n=o[e];o[e]=JN((function(){return nI(o[e],iI(h,t))})),l>0&&ZN(n)},d=0;d<c.length;++d)f(d);ZN(c),u+=h,++l}(),o})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+r.batches+" batches). 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},n.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;cz(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return qF(this.testLoop(o,i,r,n.verbose,n.steps))}finally{mz(a[0],e),mz(a[1],t)}},n.evaluateDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",uz(this,t,n));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new BF("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new BF("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},n.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new BF("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new MM;if(e instanceof nk&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new BF("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],e[o])}else for(var s,u=Lv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new BF("No value is provided for the model's input "+l.name);i.add(l,c)}var p=PM(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=GF(null,e.length),r=e.length,a=Lv(this.layers);!(t=a()).done;){for(var i=t.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(n[u]=o[l],r--),0===r)break}if(0===r)break}if(r>0){var c=[];throw n.forEach((function(t,n){null==t&&c.push(e[n])})),new BF("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return n},n.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),JN((function(){var a=r.checkNumSamples(e);if(n)throw new WF("Verbose predictLoop() is not implemented yet.");for(var i=fz(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){JN((function(){var n=i[t][0],a=i[t][1],o=pz(e,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new MM(s);return PM(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return qF(o.map((function(e){return zI(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=dz(e);bz(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return cz(r),this.predictLoop(n,r)}finally{mz(n,e)}},n.predictOnBatch=function(e){bz(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},n.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new PF("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===bL?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=tD(e.map((function(e){return e.shape[0]})));r.sort();var a=tD(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new BF("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new BF("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!Yv(r,a))throw new BF("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=yz(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=yz(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[dL,xL,yL],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===yL&&1===i.shape[i.shape.length-1])throw new BF("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new BF("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new BF("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},n.standardizeUserData=function(){var e=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(t,n,i,o),u=s[0],l=s[1],null==r){e.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(c=null,null==a){e.next=18;break}p=JL(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,ZL(l[h],null,p[h]);case 13:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 15:++h,e.next=9;break;case 18:return e.abrupt("return",[u,l,c]);case 19:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o){return e.apply(this,arguments)}}(),n.testLoop=function(e,t,n,r,a){var i=this;return void 0===r&&(r=0),JN((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new WF("Verbose mode is not implemented yet.");if(null!=a)throw new WF("steps mode in testLoop() is not implemented yet");for(var u=fz(o,n),l=pE(_D(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=MD(l,p,h-p),d=hz(t,f),m=e(d);if(0===c)for(var v=0;v<m.length;++v)s.push(GS(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=nI(s[g],iI(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=aI(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(HF(e,r)>1)a+="_"+HF(e.slice(0,n),r);t.push(a)}return t},n.makeTrainFunction=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,l=new MM(t),c=PM(e.outputs,l,{training:!0}),p=0;p<e.lossFunctions.length;++p){var h=(0,e.lossFunctions[p])(a[p],c[p]);null!=i[p]&&(h=$L(h,i[p]));var f=LT(h);n.push(f),u=0===p?h:nI(u,h)}for(var d=0;d<e.metricsTensors.length;++d){var m=void 0;if(e.outputs.length>1&&d<e.outputs.length)m=n[d];else{var v=e.metricsTensors[d][0],g=e.metricsTensors[d][1];m=LT(v(a[g],c[g]))}QN(m),o.push(m)}return u=LT(u),e.calculateLosses().forEach((function(e){u=nI(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return JN((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 MM(o),l=PM(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=LT(p(i[c],l[c]));n=0===c?h:nI(n,h),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],m=e.metricsTensors[f][1],v=LT(d(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===r&&(r={}),!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,cz(f=null==r.batchSize?32:r.batchSize),!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,false,f);case 10:if(d=e.sent,a=d[0],i=d[1],h=d[2],m=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(m=!0,2!==r.validationData.length){e.next=22;break}u=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new WF("validationData including sample weights is not supported yet.");case 26:throw new BF("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");case 27:return!0,e.next=30,this.standardizeUserData(u,l,null,null,true,f);case 30:g=e.sent,c=g[0],p=g[1],v=c.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(m=!0,y=Math.floor(a[0].shape[0]*(1-r.validationSplit)),b=a[0].shape[0],c=pz(a,y,b),o=a,a=pz(a,0,y),p=pz(i,y,b),s=i,i=pz(i,0,y),v=c.concat(p)):null!=r.validationSteps&&(m=!0);case 37:return x=a.concat(i).concat(h),this.checkTrainableWeightsConsistency(),w=this.makeTrainFunction(),k=this.getDedupedMetricsNames(),m?(this.makeTestFunction(),N=this.testFunction,I=k.slice().concat(k.map((function(e){return"val_"+e})))):(N=null,v=[],I=k.slice()),S=lL(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(w,x,k,f,r.epochs,r.verbose,S,N,v,r.shuffle,I,r.initialEpoch,null,null);case 45:return T=e.sent,e.abrupt("return",T);case 47:return e.prev=47,this.isTraining=!1,mz(a,t),mz(i,n),mz(o,t),mz(s,n),mz(c,u),mz(p,l),null!=h&&ZN(h),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitLoop=function(){var e=Iv(kv().mark((function e(t,n,r,a,i,o,s,u,l,c,p,h,f,d){var m,v,g,y,b,x,w,k,N=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=u&&null!=l&&(m=!0),null==d){e.next=10;break}if(m=!0,null!=f){e.next=10;break}throw new BF("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(v=this.checkNumSamples(n,a,f,"steps_per_epoch"))&&(g=_D(0,v)),null==o&&(o=1),y=pL(s,o,i,h,v,f,a,m,p),b=y.callbackList,x=y.history,b.setModel(this),this.history=x,e.next=18,b.onTrainBegin();case 18:this.stopTraining_=!1,w=kv().mark((function e(i){var o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,b.onEpochBegin(i);case 2:if(o={},null==f){e.next=7;break}throw new WF("stepsPerEpoch mode is not implemented yet.");case 7:return e.delegateYield(kv().mark((function e(){var i,s,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("batch"!==c){e.next=4;break}throw new WF("batch shuffling is not implemneted yet");case 4:c&&Wv(g);case 5:i=pE(g),s=fz(v,a),p=kv().mark((function e(c){var p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return p={},e.next=3,b.onBatchBegin(c,p);case 3:return JN((function(){var e=s[c][0],h=s[c][1],f=MD(i,e,h-e);p.batch=c,p.size=h-e;for(var d=hz(n,f),v=t(d),g=0;g<r.length;++g){var y=r[g],b=v[g];p[y]=b,QN(b)}if(c===s.length-1&&m)for(var x=N.testLoop(u,l,a),w=0;w<r.length;++w){var k=r[w],I=x[w];QN(I),o["val_"+k]=I}})),e.next=6,b.onBatchEnd(c,p);case 6:if(rL(p),!N.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),h=0;case 9:if(!(h<s.length)){e.next=17;break}return e.delegateYield(p(h),"t0",11);case 11:if("break"!==e.t0){e.next=14;break}return e.abrupt("break",17);case 14:++h,e.next=9;break;case 17:i.dispose();case 18:case"end":return e.stop()}}),e)}))(),"t0",8);case 8:return e.next=10,b.onEpochEnd(i,o);case 10:if(!N.stopTraining_){e.next=12;break}return e.abrupt("return","break");case 12:case"end":return e.stop()}}),e)})),k=h;case 21:if(!(k<i)){e.next=29;break}return e.delegateYield(w(k),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++k,e.next=21;break;case 29:return e.next=31,b.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)})));return function(t,n,r,a,i,o,s,u,l,c,p,h,f,d){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",rz(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],l=Lv(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 13:h=e.sent,u.push(h[0]);case 15:e.next=9;break;case 17:return ZN(s),mz(r[0],t),mz(r[1],n),e.abrupt("return",qF(u));case 21:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.getNamedWeights=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},n.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=YN().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-YN().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=XF(this.loss);else if(Array.isArray(this.loss)){for(var t,n=Lv(this.loss);!(t=n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map((function(e){return XF(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]=XF(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[XF(LL(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return XF(LL(e))}));var e={};for(var t in this.metrics)e[t]=XF(LL(this.metrics[t]));return e},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=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=hL(HL(e.optimizer_config));if("string"==typeof e.loss)t=YF(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return YF(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=YF(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return YF(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=YF(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=iN(t)).length){e.next=6;break}throw new BF("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new BF("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new BF("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,Vk(this.getNamedWeights(n));case 13:if(a=e.sent,!1,null,i=this.toJSON(null,false),o={modelTopology:i,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v4.2.0",convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=zR,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=u,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,c=l.data,p=l.specs,(s=a.specs).push.apply(s,p),a.data=Yk([a.data,c]);case 34:return null!=this.userDefinedMetadata&&(!0,PL(this.userDefinedMetadata,this.name,true),o.userDefinedMetadata=this.userDefinedMetadata),o.weightData=a.data,o.weightSpecs=a.specs,e.abrupt("return",t.save(o));case 38:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.setUserDefinedMetadata=function(e){PL(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},Tv(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)}}]),t}(XL);xz.className="Model",sR(xz);var wz=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(xz);function kz(){return kz=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(r=t.modelTopology).model_config&&(r=r.model_config),a=HL(r),i=hL(a,n),null==t.weightsManifest){e.next=14;break}return e.next=9,IR(t.weightsManifest,t.pathPrefix,i.weights.map((function(e){return e.originalName})));case 9:for(o=e.sent,s={},u=Lv(i.weights);!(l=u()).done;)c=l.value,s[c.originalName]=o[c.originalName];i.loadWeights(s),ZN(o);case 14:return e.abrupt("return",i);case 15:case"end":return e.stop()}}),e)}))),kz.apply(this,arguments)}function Nz(){return(Nz=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),"string"!=typeof t){e.next=10;break}if(0!==(r=oN(t,n)).length){e.next=7;break}r.push(OR(t,n)),e.next=9;break;case 7:if(!(r.length>1)){e.next=9;break}throw new BF("Found more than one ("+r.length+") load handlers for URL '"+t+"'");case 9:t=r[0];case 10:return e.abrupt("return",Iz(t,void 0,n));case 11:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function Iz(e,t,n){return Sz.apply(this,arguments)}function Sz(){return Sz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==r&&(r={}),null!=t.load){e.next=3;break}throw new BF("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(a=e.sent,null!=(i=a.modelTopology).model_config&&(i=i.model_config),o=null==r.strict||r.strict,s=null!=a.weightData&&null!=a.weightSpecs&&o,u=hL(HL(i),n,s),null!=(l=a.trainingConfig)&&u.loadTrainingConfig(l),null!=a.userDefinedMetadata&&u.setUserDefinedMetadata(a.userDefinedMetadata),null==a.weightData){e.next=24;break}if(null!=a.weightSpecs){e.next=17;break}throw new BF("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");case 17:if(c=Tz(a.weightData,a.weightSpecs),p=c.modelWeights,h=c.optimizerWeights,u.loadWeights(p,o),!(null!=u.optimizer&&h.length>0)){e.next=22;break}return e.next=22,u.optimizer.setWeights(h);case 22:ZN(p),ZN(h.map((function(e){return e.tensor})));case 24:return e.abrupt("return",u);case 25:case"end":return e.stop()}}),e)}))),Sz.apply(this,arguments)}function Tz(e,t){var n=Gk(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}}wz.className="Functional",sR(wz);var Cz=function(e){function t(t){var n;if(t=t||{},(n=e.call(this,{inputs:[],outputs:[]})||this).trainable=!0,n.built=!1,n.name=null!=t.name?t.name:pD("sequential_"),null!=t.layers)for(var r,a=Lv(t.layers);!(r=a()).done;){var i=r.value;n.add(i)}return n}Cv(t,e);var n=t.prototype;return n.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new BF("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},n.add=function(e){var n,r=e instanceof t||e instanceof xz;if(r){if(1!==(n=e).outputs.length)throw new BF("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new BF("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new BF("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=DM({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new BF("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new BF("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=OM(this.outputs[0])}this.inboundNodes=[],new AM({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:GF(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(e){return e.shape})),outputShapes:this.outputs[0].shape})}else{var i=e.apply(this.outputs[0]);if(Array.isArray(i))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[i],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},n.pop=function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},n.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},n.build=function(e){if(xM(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new xz({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},n.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},n.summary=function(t,n,r){void 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nP=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA_INITIALIZER="zeros",null==t&&(t={}),n.supportsMasking=!0,n.alphaInitializer=vM(t.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=$z(t.alphaRegularizer),n.alphaConstraint=ZM(t.alphaConstraint),null==t.sharedAxes)n.sharedAxes=null;else if(Array.isArray(t.sharedAxes))n.sharedAxes=t.sharedAxes;else{if("number"!=typeof t.sharedAxes)throw new BF("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=xM(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=Lv(this.sharedAxes);!(n=r()).done;){t[n.value-1]=1}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new 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single number for 1D convolution, but received "+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 BF("dilationRate must be a number or array of two numbers for 2D convolution, but received "+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 BF("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Cv(t,e),t.verifyArgs=function(e){if(jF("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!aD(e.kernelSize,"number",1,3))throw new BF("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:jz(this.activation),useBias:this.useBias,biasInitializer:mM(this.biasInitializer),biasRegularizer:Zz(this.biasRegularizer),activityRegularizer:Zz(this.activityRegularizer),biasConstraint:YM(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M),mP=function(e){function t(n,r){var a;return(a=e.call(this,n,r)||this).kernel=null,t.verifyArgs(r),a.filters=r.filters,iD(a.filters,"filters"),a.kernelInitializer=vM(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=ZM(r.kernelConstraint),a.kernelRegularizer=$z(r.kernelRegularizer),a}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=xM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new BF("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,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:(t={},t[n]=r,t)}],this.built=!0},n.call=function(e,t){var n=this;return JN((function(){var t;e=bM(e);var r=null==n.bias?null:n.bias.read(),a=sD(n.activation.getClassName());if(null!=a&&2===n.rank)t=hP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=pP(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=hP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new WF("convolutions greater than 3D are not implemented yet.");t=fP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))},n.computeOutputShape=function(e){e=xM(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=sP(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},n.getConfig=function(){var t={filters:this.filters,kernelInitializer:mM(this.kernelInitializer),kernelRegularizer:Zz(this.kernelRegularizer),kernelConstraint:YM(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyArgs=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new BF("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(dP),vP=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!aD(e.kernelSize,"number",1,2))throw new BF("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(mP);vP.className="Conv2D",sR(vP);var gP=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new BF("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(mP);gP.className="Conv3D",sR(gP);var yP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new TM({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new BF("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=xM(e)).length)throw new BF("Input should have rank 4; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new BF("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"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 TM({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JN((function(){var t=bM(e);if(4!==t.shape.length)throw new BF("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+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],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,uP(s,p,l,n.padding),uP(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=AE(t,[0,2,3,1]));var d=sS(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=AE(d,[0,3,1,2])),null!=n.bias&&(d=qD(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(e){var t,n,r,a=(e=xM(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]=uP(a[n],s,i,this.padding),a[r]=uP(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(vP);yP.className="Conv2DTranspose",sR(yP);var bP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new TM({ndim:5})],"same"!==n.padding&&"valid"!==n.padding)throw new BF("Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(5!==(e=xM(e)).length)throw new BF("Input should have rank 5; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new BF("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"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 TM({ndim:5,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JN((function(){var t=bM(e);if(5!==t.shape.length)throw new BF("Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+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],l=o[r],c=o[a],p=n.kernelSize[0],h=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],m=n.strides[1],v=n.strides[2],g=[s,uP(u,d,p,n.padding),uP(l,m,h,n.padding),uP(c,v,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=AE(t,[0,2,3,4,1]));var y=cS(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=AE(y,[0,4,1,2,3])),null!==n.bias&&(y=qD(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))},n.computeOutputShape=function(e){var t,n,r,a,i=(e=xM(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],l=this.strides[0],c=this.strides[1],p=this.strides[2];return i[t]=this.filters,i[n]=uP(i[n],l,o,this.padding),i[r]=uP(i[r],c,s,this.padding),i[a]=uP(i[a],p,u,this.padding),i},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(gP);bP.className="Conv3DTranspose",sR(bP);var xP=function(e){function t(t,n){var r;if((r=e.call(this,t,n)||this).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new BF("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new BF("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new BF("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=vM(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=$z(n.depthwiseRegularizer),r.depthwiseConstraint=ZM(n.depthwiseConstraint),r.pointwiseInitializer=vM(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=$z(n.pointwiseRegularizer),r.pointwiseConstraint=ZM(n.pointwiseConstraint),r}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=xM(e)).length<this.rank+2)throw new BF("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new BF("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters);var s=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,s,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,s,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,s,this.biasConstraint):this.bias=null,this.inputSpec=[new TM({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JN((function(){var t;if(e=bM(e),1===n.rank)throw new WF("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=AE(e,[0,2,3,1])),t=GC(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=qD(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=AE(t,[0,3,1,2])),t}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=mM(this.depthwiseInitializer),t.pointwiseInitializer=mM(this.pointwiseInitializer),t.depthwiseRegularizer=Zz(this.depthwiseRegularizer),t.pointwiseRegularizer=Zz(this.pointwiseRegularizer),t.depthwiseConstraint=YM(this.depthwiseConstraint),t.pointwiseConstraint=YM(this.pointwiseConstraint),t},t}(mP);xP.className="SeparableConv";var wP=function(e){function t(t){return e.call(this,2,t)||this}return Cv(t,e),t}(xP);wP.className="SeparableConv2D",sR(wP);var kP=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!aD(e.kernelSize,"number",1,1))throw new BF("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(mP);kP.className="Conv1D",sR(kP);var NP=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=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]]},n.call=function(e,t){var n=this;return JN((function(){if(e=bM(e),"channelsLast"===n.dataFormat){var t=zD(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return zD(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=zD(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return zD(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);NP.className="Cropping2D",sR(NP);var IP=function(e){function t(t){var n,r;return(n=e.call(this,t)||this).DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,yD(n.dataFormat),n.interpolation=null==t.interpolation?"nearest":t.interpolation,r=n.interpolation,rD(fD,"InterpolationFormat",r),n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=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]]},n.call=function(e,t){var n=this;return JN((function(){var t=bM(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=AE(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?eR.resizeNearestNeighbor(t,[a,i]):eR.resizeBilinear(t,[a,i]);return AE(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?eR.resizeNearestNeighbor(t,[s,u]):eR.resizeBilinear(t,[s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);IP.className="UpSampling2D",sR(IP);var SP=function(e){function t(t){var n;return(n=e.call(this,2,t)||this).depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=vM(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=ZM(t.depthwiseConstraint),n.depthwiseRegularizer=$z(t.depthwiseRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){if((e=xM(e)).length<4)throw new BF("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new BF("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+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},n.call=function(e,t){var n=this;return JN((function(){e=bM(e);var t,r,a,i,o,s,u=(t=e,r=n.depthwiseKernel.read(),a=n.strides,i=n.padding,o=n.dataFormat,s=null,void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),JN((function(){null==o&&(o="channelsLast"),yD(o);var e=lP(t,o);if(4!==t.rank)throw new BF("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new BF("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=gS(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=AE(e,[0,3,1,2])),e})));return n.useBias&&(u=qD(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=xM(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=sP(t,this.kernelSize[0],this.padding,this.strides[0]),i=sP(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=mM(this.depthwiseInitializer),t.depthwiseRegularizer=Zz(this.depthwiseRegularizer),t.depthwiseConstraint=YM(this.depthwiseRegularizer),t},t}(dP);function TP(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new BF("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 CP(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),JN((function(){var u=t.shape.length;if(u<3)throw new BF("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(_D(2,u));if(t=AE(t,l),null!=i)throw new WF("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=jN(jN(a,"bool"),"float32")).rank===u-1&&(a=ZS(a,-1)),a=AE(a,l)),r&&(t=MC(t,0),null!=a&&(a=MC(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=wE(t);null!=a&&(p=wE(a));for(var v,g=function(t){var n=m[t],r=JN((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=JN((function(){var e=p[t],n=kT(XT(e),e);return{output:nI(iI(r[0],e),iI(f[0],n)),newStates:f.map((function(t,a){return nI(iI(r[1][a],e),iI(t,n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)g(y);if(s){v=sE(h,1)}return[c,v,f]}))}SP.className="DepthwiseConv2D",sR(SP);var EP=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new BF("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new LP({cells:t.cell}):t.cell).stateSize)throw new BF("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return n.cell=r,n.returnSequences=null!=t.returnSequences&&t.returnSequences,n.returnState=null!=t.returnState&&t.returnState,n.goBackwards=null!=t.goBackwards&&t.goBackwards,n._stateful=null!=t.stateful&&t.stateful,n.unroll=null!=t.unroll&&t.unroll,n.supportsMasking=!0,n.inputSpec=[new TM({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Cv(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?_D(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_},n.setStates=function(e){this.states_=e},n.computeOutputShape=function(e){gM(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){for(var a,i=[],o=Lv(t);!(a=o()).done;){var s=a.value;i.push([e[0],s])}return[n].concat(i)}return n},n.computeMask=function(e,t){var n=this;return JN((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}))},n.build=function(e){if(null!=this.numConstants)throw new WF("Constants support is not implemented in RNN yet.");gM(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new TM({shape:[t,null].concat(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(!Yv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new BF("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map((function(e){return new TM({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),JN((function(){if(!n.stateful)throw new zF("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new BF("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==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return zT([r,e])})):n.states_=[zT([r,n.cell.stateSize])];else if(null==e)ZN(n.states_),null!=n.keptStates&&(ZN(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return zT([r,e])})):n.states_[0]=zT([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new BF("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states_.slice()):ZN(n.states_);for(var a=0;a<n.states_.length;++a){var i=e[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!Yv(i.shape,s))throw new BF("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map((function(e){return QN(e.clone())}))}))},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=TP(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u,l=Lv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new TM({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof CM){var p=[t].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=e.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return JN((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=bM(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 BF("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=CP((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),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h}))},n.getInitialState=function(e){var t=this;return JN((function(){var n=zT(e.shape);return n=DD(n=qS(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?WD(n,[1,e]):n})):t.cell.stateSize>1?[WD(n,[1,t.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var n=e.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(r.numConstants=this.numConstants);var a=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:a}),Object.assign(Object.assign(Object.assign({},a),n),r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=hL(t.cell,n);return new e(Object.assign(t,{cell:r}))},Tv(t,[{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:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),t}(_M);EP.className="RNN",sR(EP);var AP=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(_M),RP=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,iD(n.units,"units"),n.activation=qz(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=vM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=vM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=vM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=$z(t.kernelRegularizer),n.recurrentRegularizer=$z(t.recurrentRegularizer),n.biasRegularizer=$z(t.biasRegularizer),n.kernelConstraint=ZM(t.kernelConstraint),n.recurrentConstraint=ZM(t.recurrentConstraint),n.biasConstraint=ZM(t.biasConstraint),n.dropout=AD([1,RD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=AD([1,RD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){e=xM(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},n.call=function(e,t){var n=this;return JN((function(){if(2!==e.length)throw new BF("SimpleRNNCell expects 2 input Tensors, got "+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=zP({ones:function(){return XT(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zP({ones:function(){return XT(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=UD(null!=o?iI(e,o):e,n.kernel.read()),null!=n.bias&&(a=qD(a,n.bias.read())),null!=s&&(r=iI(r,s));var u=nI(a,UD(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:jz(this.activation),useBias:this.useBias,kernelInitializer:mM(this.kernelInitializer),recurrentInitializer:mM(this.recurrentInitializer),biasInitializer:mM(this.biasInitializer),kernelRegularizer:Zz(this.kernelRegularizer),recurrentRegularizer:Zz(this.recurrentRegularizer),biasRegularizer:Zz(this.biasRegularizer),activityRegularizer:Zz(this.activityRegularizer),kernelConstraint:YM(this.kernelConstraint),recurrentConstraint:YM(this.recurrentConstraint),biasConstraint:YM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),n)},t}(AP);RP.className="SimpleRNNCell",sR(RP);var _P=function(e){function t(t){return t.cell=new RP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return JN((function(){null!=r.cell.dropoutMask&&(ZN(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZN(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return new e(t)},t}(EP);_P.className="SimpleRNN",sR(_P);var OP=function(e){function t(t){var n;if((n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new BF("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,iD(n.units,"units"),n.activation=qz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=qz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=vM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=vM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=vM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=$z(t.kernelRegularizer),n.recurrentRegularizer=$z(t.recurrentRegularizer),n.biasRegularizer=$z(t.biasRegularizer),n.kernelConstraint=ZM(t.kernelConstraint),n.recurrentConstraint=ZM(t.recurrentConstraint),n.biasConstraint=ZM(t.biasConstraint),n.dropout=AD([1,RD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=AD([1,RD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=xM(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},n.call=function(e,t){var n=this;return JN((function(){if(2!==e.length)throw new BF("GRUCell expects 2 input Tensors (inputs, h, c), got "+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=zP({ones:function(){return XT(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zP({ones:function(){return XT(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=iI(e,u[0]));var c=UD(e,n.kernel.read());n.useBias&&(c=qD(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=iI(a,l[0]));var p=n.recurrentKernel.read(),h=rE(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=UD(a,f),v=rE(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=rE(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(nI(g,w)),o=n.recurrentActivation.apply(nI(y,k));var N=UD(iI(o,a),d);s=n.activation.apply(nI(b,N));var I=nI(iI(i,a),iI(nI(1,bT(i)),s));return[I,I]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:jz(this.activation),recurrentActivation:jz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:mM(this.kernelInitializer),recurrentInitializer:mM(this.recurrentInitializer),biasInitializer:mM(this.biasInitializer),kernelRegularizer:Zz(this.kernelRegularizer),recurrentRegularizer:Zz(this.recurrentRegularizer),biasRegularizer:Zz(this.biasRegularizer),activityRegularizer:Zz(this.activityRegularizer),kernelConstraint:YM(this.kernelConstraint),recurrentConstraint:YM(this.recurrentConstraint),biasConstraint:YM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},t),n)},t}(AP);OP.className="GRUCell",sR(OP);var FP=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new OP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return JN((function(){null!=r.cell.dropoutMask&&(ZN(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZN(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(EP);FP.className="GRU",sR(FP);var DP=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,iD(n.units,"units"),n.activation=qz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=qz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=vM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=vM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=vM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=$z(t.kernelRegularizer),n.recurrentRegularizer=$z(t.recurrentRegularizer),n.biasRegularizer=$z(t.biasRegularizer),n.kernelConstraint=ZM(t.kernelConstraint),n.recurrentConstraint=ZM(t.recurrentConstraint),n.biasConstraint=ZM(t.biasConstraint),n.dropout=AD([1,RD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=AD([1,RD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=xM(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){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new $D).apply([i]),o=a.apply([2*i]);return BD(BD(n,r),o)},t}(ZD),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},n.call=function(e,t){var n=this;return JN((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new BF("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=zP({ones:function(){return XT(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zP({ones:function(){return XT(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=iI(e,c[0]));var h=UD(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=iI(a,p[0])),h=nI(h,UD(a,n.recurrentKernel.read())),n.useBias&&(h=qD(h,n.bias.read()));var f=rE(h,4,h.rank-1),d=f[0],m=f[1],v=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=nI(iI(s,i),iI(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=iI(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:jz(this.activation),recurrentActivation:jz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:mM(this.kernelInitializer),recurrentInitializer:mM(this.recurrentInitializer),biasInitializer:mM(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Zz(this.kernelRegularizer),recurrentRegularizer:Zz(this.recurrentRegularizer),biasRegularizer:Zz(this.biasRegularizer),activityRegularizer:Zz(this.activityRegularizer),kernelConstraint:YM(this.kernelConstraint),recurrentConstraint:YM(this.recurrentConstraint),biasConstraint:YM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},t),n)},t}(AP);DP.className="LSTMCell",sR(DP);var MP=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new DP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return JN((function(){null!=r.cell.dropoutMask&&(ZN(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZN(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(EP);MP.className="LSTM",sR(MP);var LP=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return JN((function(){for(var r,a=e.slice(1),i=[],o=Lv(n.cells.slice().reverse());!(r=o()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c){var p=n.cells[c];a=i[c],u=0===c?[e[0]].concat(a):[u[0]].concat(a),u=p.call(u,t),l.push(u.slice(1))}a=[];for(var h,f=Lv(l.slice().reverse());!(h=f()).done;){var d,m=h.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;gM(e)&&(e=e[0]),this.cells.forEach((function(n,r){kD("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},t),n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=Lv(t.cells);!(r=i()).done;){var o=r.value;a.push(hL(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return IM(t)},n.setWeights=function(e){for(var t,n=[],r=Lv(this.cells);!(t=r()).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]]);SM(n)},Tv(t,[{key:"stateSize",get:function(){for(var e,t=[],n=Lv(this.cells.slice().reverse());!(e=n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Lv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(AP);function zP(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):KD(t(),n)},l=function(){return XD(u,t,a)};return!o||o<=1?QN(l().clone()):Array(o).fill(void 0).map(l).map((function(e){return QN(e.clone())}))}LP.className="StackedRNNCells",sR(LP);var PP=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},BP=function(e){function t(t){var n;if(t.unroll)throw new WF("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new WF("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new TM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return JN((function(){if(null!=r.cell.dropoutMask&&(ZN(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZN(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new BF("ConvRNN2D cell does not support constants");var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},n.computeOutputShape=function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(t.slice(2))),this.returnState&&(t=[t].concat(Array(2).fill([e[0]].concat(t.slice(-3))))),t},n.getInitialState=function(e){var t=this;return JN((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=zT([a[0]].concat(a.slice(2)));return Array.isArray(n)?Array(n.length).fill(i):[i]}))},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),JN((function(){if(!n.stateful)throw new zF("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape,a=n.computeSingleOutputShape(r),i=[a[0]].concat(a.slice(2));if(null==r[0])throw new BF("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==n.getStates())Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return zT(i)})):n.states_=[zT(i)];else if(null==e)ZN(n.states_),null!=n.keptStates&&(ZN(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return zT(i)})):n.states_[0]=zT(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new BF("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);t?n.keptStates.push(n.states_.slice()):ZN(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Yv(s.shape,u))throw new BF("State "+o+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+s.shape);n.states_[o]=s}}n.states_=n.states_.map((function(e){return QN(e.clone())}))}))},n.computeSingleOutputShape=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,l=e[u?3:2],c=e[u?4:3],p=sP(l,a[0],i,o[0],s[0]),h=sP(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(EP);BP.className="ConvRNN2D";var WP=function(e){function t(t){var n,r=t.filters,a=t.kernelSize,i=t.strides,o=t.padding,s=t.dataFormat,u=t.dilationRate;return(n=e.call(this,Object.assign(Object.assign({},t),{units:r}))||this).filters=r,iD(n.filters,"filters"),n.kernelSize=oP(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return iD(e,"kernelSize")})),n.strides=oP(i||1,2,"strides"),n.strides.forEach((function(e){return iD(e,"strides")})),n.padding=o||"valid",bD(n.padding),n.dataFormat=s||"channelsLast",yD(n.dataFormat),n.dilationRate=oP(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return iD(e,"dilationRate")})),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=xM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new BF("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e,t){return PD([s.apply([u]),PT([u]),s.apply([2*u])])},t}(ZD),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},n.call=function(e,t){var n=this;return JN((function(){if(3!==e.length)throw new BF("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+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=zP({ones:function(){return XT(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?iI(t[n],e):e},l=u(a,s,0),c=u(a,s,1),p=u(a,s,2),h=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zP({ones:function(){return XT(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),m=u(i,f,1),v=u(i,f,2),g=u(i,f,3),y=rE(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?rE(n.bias.read(),4):[null,null,null,null],I=N[0],S=N[1],T=N[2],C=N[3];l=n.inputConv(l,b,I,n.padding),c=n.inputConv(c,x,S,n.padding),p=n.inputConv(p,w,T,n.padding),h=n.inputConv(h,k,C,n.padding);var E=rE(n.recurrentKernel.read(),4,3),A=E[0],R=E[1],_=E[2],O=E[3];d=n.recurrentConv(d,A),m=n.recurrentConv(m,R),v=n.recurrentConv(v,_),g=n.recurrentConv(g,O);var F=n.recurrentActivation.apply(nI(l,d)),D=n.recurrentActivation.apply(nI(c,m)),M=nI(iI(D,o),iI(F,n.activation.apply(nI(p,v)))),L=iI(n.recurrentActivation.apply(nI(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,PP(t,["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({},n),r)},n.inputConv=function(e,t,n,r){var a=aS(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?qD(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return aS(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(DP);WP.className="ConvLSTM2DCell",sR(WP);var VP=function(e){function t(t){var n=new WP(t);return e.call(this,Object.assign(Object.assign({},t),{cell:n}))||this}return Cv(t,e),t.fromConfig=function(e,t){return new e(t)},t}(BP);VP.className="ConvLSTM2D",sR(VP);var UP=function(e){function t(t){var n;return(n=e.call(this,t)||this).rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.getNoiseShape=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},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return XD((function(){return KD(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))},n.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.dispose=function(){return e.prototype.dispose.call(this)},t}(_M);UP.className="Dropout",sR(UP);var GP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return Cv(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(UP);GP.className="SpatialDropout1D",sR(GP);var jP=function(e){function t(t){var n;if((n=e.call(this,t)||this).activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,iD(n.units,"units"),n.activation=qz(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=vM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=vM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=ZM(t.kernelConstraint),n.biasConstraint=ZM(t.biasConstraint),n.kernelRegularizer=$z(t.kernelRegularizer),n.biasRegularizer=$z(t.biasRegularizer),n.activityRegularizer=$z(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=xM(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,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:(t={},t[-1]=n,t)}],this.built=!0},n.computeOutputShape=function(e){var t=(e=xM(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r,a=bM(e),i=sD(n.activation.getClassName());return null!=i?r=UD(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=UD(a,n.kernel.read()),null!=n.bias&&(r=qD(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:jz(this.activation),useBias:this.useBias,kernelInitializer:mM(this.kernelInitializer),biasInitializer:mM(this.biasInitializer),kernelRegularizer:Zz(this.kernelRegularizer),biasRegularizer:Zz(this.biasRegularizer),activityRegularizer:Zz(this.activityRegularizer),kernelConstraint:YM(this.kernelConstraint),biasConstraint:YM(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);jP.className="Dense",sR(jP);var HP=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=Lv((e=xM(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new BF('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],ED(e,1)]},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(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=AE(r,a)}return function(e){if(e.rank<=1)throw new BF("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],ED(e.shape,1)];return DI(e,t)}(r)}))},n.getConfig=function(){var t={};null!=this.dataFormat&&(t.dataFormat=this.dataFormat);var n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);HP.className="Flatten",sR(HP);var qP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.activation=qz(t.activation),n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e);return n.activation.apply(r)}))},n.getConfig=function(){var t={activation:jz(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);qP.className="Activation",sR(qP);var KP=function(e){function t(t){var n;return(n=e.call(this,t)||this).n=t.n,n.inputSpec=[{ndim:2}],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],this.n,e[1]]},n.call=function(e,t){var n=this;return JN((function(){return e=bM(e),t=e,r=n.n,JN((function(){if(2!==t.shape.length)throw new BF("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return WD(DD(t,1),[1,r,1])}));var t,r}))},n.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);KP.className="RepeatVector",sR(KP);var XP=function(e){function t(t){var n;(n=e.call(this,t)||this).targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}Cv(t,e);var n=t.prototype;return n.isUnknown=function(e){return e<0||null==e},n.fixUnknownDimension=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 BF("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=ED(e);if(null!==i){if(0===a||u%a!=0)throw new BF(n);r[i]=u/a}else if(u!==a)throw new BF(n);return r},n.computeOutputShape=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))},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return DI(r,i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);XP.className="Reshape",sR(XP);var YP=function(e){function t(t){var n;if(n=e.call(this,t)||this,null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=_D(1,t.dims.length+1);if(!Yv(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new TM({ndim:n.dims.length+1})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=xM(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},n.call=function(e,t){return AE(bM(e),this.dimsIncludingBatch)},n.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);YP.className="Permute",sR(YP);var JP=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},n.computeMask=function(e,t){var n=bM(e);return pI(qT(n,this.maskValue),-1)},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e),a=pI(qT(r,n.maskValue),-1,!0);return iI(r,jN(a,r.dtype))}))},t}(_M);JP.className="Masking",sR(JP);var ZP=function(e){function t(t){var n;if((n=e.call(this,t)||this).embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(KF(t.inputLength))}return n.inputDim=t.inputDim,iD(n.inputDim,"inputDim"),n.outputDim=t.outputDim,iD(n.outputDim,"outputDim"),n.embeddingsInitializer=vM(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=$z(t.embeddingsRegularizer),n.activityRegularizer=$z(t.activityRegularizer),n.embeddingsConstraint=ZM(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}Cv(t,e);var n=t.prototype;return n.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(e){},n.computeMask=function(e,t){var n=this;return JN((function(){return n.maskZero?(e=bM(e),qT(e,TS(e))):null}))},n.computeOutputShape=function(e){if(e=xM(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=KF(this.inputLength);if(t.length!==e.length-1)throw new BF('"inputLength" is '+this.inputLength+", but received input shape has shape "+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 BF('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e);"int32"!==r.dtype&&(r=FD(r,"int32"));var a=GD(n.embeddings.read(),DI(r,[r.size]));return DI(a,xM(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:mM(this.embeddingsInitializer),embeddingsRegularizer:Zz(this.embeddingsRegularizer),activityRegularizer:Zz(this.activityRegularizer),embeddingsConstraint:YM(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);ZP.className="Embedding",sR(ZP);var QP=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new WF},n.computeElementwiseOpOutputShape=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 BF("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},n.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[xM(e)]),e.length<2)throw new BF("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=tD(n)).length>1)throw new BF("Can not merge tensors with different batch sizes. Got tensors with shapes: "+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===tD(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return JN((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=RD(r),o=Lv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=DD(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=Lv(e);!(c=h()).done;){var f=c.value,d=f.rank;if(null==d){var m=f.shape,v=m[0],g=m.slice(1).concat([v]),y=DI(f,[v].concat(ED(m.slice(1))));y=AE(y,[1,0]),y=DI(y,g),t.push(y),p=!0}else if(d>1){var b=_D(1,d).concat([0]);t.push(AE(f,b)),p=!0}else t.push(f)}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var k=x.shape,N=k[k.length-1],I=[N].concat(k.slice(0,k.length-1));x=DI(AE(DI(x,[-1,N]),[1,0]),I)}else if(w>1){var S=[w-1].concat(_D(0,w-1));x=AE(x,S)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=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)}for(var a,i=[],o=Lv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=tD(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return JN((function(){if(null==t)return null;if(!Array.isArray(t))throw new BF("`mask` should be an Array");if(!Array.isArray(e))throw new BF("`inputs` should be an Array");if(t.length!==e.length)throw new BF("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:ZS(e,0)})))[0],r=1;r<t.length-1;++r)n=ST(n,t[r]);return n}))},t}(_M),$P=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return JN((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=nI(t,e[n]);return t}))},t}(QP);$P.className="Add",sR($P);var eB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return JN((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=iI(t,e[n]);return t}))},t}(QP);eB.className="Multiply",sR(eB);var tB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return JN((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=nI(t,e[n]);return iI(1/e.length,t)}))},t}(QP);tB.className="Average",sR(tB);var nB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return JN((function(){for(var t=e[0],n=1;n<e.length;++n)t=MT(t,e[n]);return t}))},t}(QP);nB.className="Maximum",sR(nB);var rB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return JN((function(){for(var t=e[0],n=1;n<e.length;++n)t=WT(t,e[n]);return t}))},t}(QP);rB.className="Minimum",sR(rB);var aB=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}Cv(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new BF("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=Lv(e);!(t=r()).done;){if(null!=t.value){n=!1;break}}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);for(var s,u=!1,l=Lv(a);!(s=l()).done;){if(Yv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new BF("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},n.mergeFunction=function(e){var t=this;return JN((function(){return PD(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new BF("A `Concatenate` layer should be called on a list of inputs.");for(var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=Lv(n.slice(1));!(t=i()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new BF("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new BF("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new BF("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return JN((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(jN(XT(e[i]),"bool")):t[i].rank<e[i].rank?a.push(ZS(t[i],-1)):a.push(t[i]);var o=zI(a,n.axis);return cI(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(QP);function iB(e,t){for(;e<0;)e+=t;return e}aB.className="Concatenate",sR(aB);var oB=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}Cv(t,e);var n=t.prototype;return n.build=function(e){Hv(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 WF("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 BF("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(e){if(2!==e.length)throw new BF("A `Dot` layer must be called on exactly 2 inputs, but received "+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 iB(t,e[n].shape.length)})):[iB(this.axes,n.shape.length),iB(this.axes,r.shape.length)],this.normalize&&(n=fL(n,t[0]),r=fL(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new WF("batchDot is not implemented for tensors of 4D or higher rank yet");if(Hv(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),Hv(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+t.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new WF("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 JN((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=DI(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=DI(e,e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?qS(iI(e,t),i[0]):qS(iI(AE(e,[1,0]),t),i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=PI(e,t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=oE(o,d)}return 1===o.shape.length&&(o=ZS(o,1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[iB(this.axes,e.length),iB(this.axes,t.length)]},n.computeOutputShape=function(e){Hv(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 WF("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},n.computeMask=function(e,t){return null},n.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(QP);oB.className="Dot",sR(oB);var sB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e);return XD((function(){return nI(VD(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))},t}(_M);sB.className="GaussianNoise",sR(sB);var uB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t);var r=bM(e);if(n.rate>0&&n.rate<1){return XD((function(){var e=Math.sqrt(n.rate/(1-n.rate));return iI(r,VD(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(_M);uB.className="GaussianDropout",sR(uB);var lB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}Cv(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||bM(e).shape},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JN((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return XD((function(){var t=bM(e),a=-1.7580993408473766,i=aT(AC(r),n.rate);i=FD(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=nI(iI(t,i),iI(nI(i,-1),a));return nI(iI(u,o),s)}),(function(){return bM(e)}),t.training||!1)}return e}))},t}(_M);function cB(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=HI(e,t,n,r,a,i);else if(3===e.rank)o=qI(e,t,n,r,a,i);else{if(4!==e.rank)throw new WF("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=KI(e,t,n,r,a,i)}return o}function pB(e,t,n,r,a){return void 0===a&&(a=.001),Yv(r.slice().sort(),_D(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),JN((function(){var i=GT(e,r),o=i.mean,s=i.variance;return[cB(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),JN((function(){for(var i,o=GT(e,r),s=o.mean,u=o.variance,l=[],c=Lv(_D(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=DI(s,l),f=DI(u,l),d=null==t?null:DI(t,l),m=null==n?null:DI(n,l);return[cB(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}lB.className="AlphaDropout",sR(lB);var hB=function(e){function t(t){var n;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=vM(t.betaInitializer||"zeros"),n.gammaInitializer=vM(t.gammaInitializer||"ones"),n.movingMeanInitializer=vM(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=vM(t.movingVarianceInitializer||"ones"),n.betaConstraint=ZM(t.betaConstraint),n.gammaConstraint=ZM(t.gammaConstraint),n.betaRegularizer=$z(t.betaRegularizer),n.gammaRegularizer=$z(t.gammaRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=xM(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new BF("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new TM({ndim:e.length,axes:(t={},t[n]=r,t)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},n.call=function(e,t){var n=this;return JN((function(){var r=null!=t.training&&t.training,a=bM(e),i=a.shape,o=i.length,s=_D(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=GF(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Yv(c,_D(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=DI(n.movingMean.read(),l),t=DI(n.movingVariance.read(),l),r=n.center?DI(n.beta.read(),l):null,i=n.scale?DI(n.gamma.read(),l):null;return cB(a,e,t,r,i,n.epsilon)}return cB(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=pB(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){JN((function(){var r=1-n,a=e.read(),i=iI(kT(a,t),r);e.write(kT(a,i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),f}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:mM(this.betaInitializer),gammaInitializer:mM(this.gammaInitializer),movingMeanInitializer:mM(this.movingMeanInitializer),movingVarianceInitializer:mM(this.movingVarianceInitializer),betaRegularizer:Zz(this.betaRegularizer),gammaRegularizer:Zz(this.gammaRegularizer),betaConstraint:YM(this.betaConstraint),gammaConstraint:YM(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);hB.className="BatchNormalization",sR(hB);var fB=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r,a=Lv(n.axis);!(r=a()).done;){var i=r.value;if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=vM(t.betaInitializer||"zeros"),n.gammaInitializer=vM(t.gammaInitializer||"ones"),n.betaRegularizer=$z(t.betaRegularizer),n.gammaRegularizer=$z(t.gammaRegularizer),n.supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=xM(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);for(var r,a=Lv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==tD(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0},n.call=function(e,t){var n=this,r=bM(e),a=r.shape,i=a.length;return JN((function(){for(var e,t=GT(r,n.axis,!0),o=t.mean,s=t.variance,u=GF(1,i),l=Lv(n.axis);!(e=l()).done;){var c=e.value;u[c]=a[c]}for(var p=function(e){return null!=e&&e.shape.length!==i?DI(e,u):e},h=n.scale?p(n.gamma.read()):null,f=n.center?p(n.beta.read()):null,d=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(d.push(a[v]),m.push(1)):(d.push(1),m.push(a[v]));return o=$S(o,d),s=$S(s,d),null!=h&&(h=$S(h,m)),null!=f&&(f=$S(f,m)),cB(r,o,s,f,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:mM(this.betaInitializer),gammaInitializer:mM(this.gammaInitializer),betaRegularizer:Zz(this.betaRegularizer),gammaRegularizer:Zz(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);fB.className="LayerNormalization",sR(fB);var dB=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new BF("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r,a;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new BF("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new BF("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new TM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=xM(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]])},n.call=function(e,t){var n=this;return JN((function(){return t=bM(e),r=n.padding,a=n.dataFormat,JN((function(){if(4!==t.rank)throw new BF("temporalPadding expects input tensor to be 4-D, but received a "+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 BF("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 BF("Unknown data format: "+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]],JT(t,e)}));var t,r,a}))},n.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M);function mB(e,t,n,r,a,i){return JN((function(){var o;yD(a),xD(i),bD(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=lP(e,a);var s="same"===r?"same":"valid";return o="max"===i?OT(e,t,n,s):MI(e,t,n,s),"channelsFirst"===a&&(o=AE(o,[0,3,1,2])),o}))}function vB(e,t,n,r,a,i){return JN((function(){var o;yD(a),xD(i),bD(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=cP(e,a);var s="same"===r?"same":"valid";return o="max"===i?FT(e,t,n,s):LI(e,t,n,s),"channelsFirst"===a&&(o=AE(o,[0,4,1,2,3])),o}))}dB.className="ZeroPadding2D",sR(dB);var gB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new BF("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(iD(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new BF("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return iD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,bD(n.padding),n.inputSpec=[new TM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=sP((e=xM(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},n.call=function(e,t){var n=this;return JN((function(){n.invokeCallHook(e,t),e=DD(bM(e),2);var r=n.poolingFunction(bM(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return oE(r,[2])}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M),yB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),mB(e,t,n,r,a,"max")},t}(gB);yB.className="MaxPooling1D",sR(yB);var bB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),mB(e,t,n,r,a,"avg")},t}(gB);bB.className="AveragePooling1D",sR(bB);var xB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new BF("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return iD(n.poolSize,"poolSize"),iD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,yD(n.dataFormat),bD(n.padding),n.inputSpec=[new TM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=xM(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=sP(t,this.poolSize[0],this.padding,this.strides[0]),n=sP(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},n.call=function(e,t){var n=this;return JN((function(){return n.invokeCallHook(e,t),n.poolingFunction(bM(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M),wB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),mB(e,t,n,r,a,"max")},t}(xB);wB.className="MaxPooling2D",sR(wB);var kB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),mB(e,t,n,r,a,"avg")},t}(xB);kB.className="AveragePooling2D",sR(kB);var NB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new BF("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return iD(n.poolSize,"poolSize"),iD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,yD(n.dataFormat),bD(n.padding),n.inputSpec=[new TM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=xM(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=sP(t,this.poolSize[0],this.padding,this.strides[0]),n=sP(n,this.poolSize[1],this.padding,this.strides[1]),r=sP(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]]},n.call=function(e,t){var n=this;return JN((function(){return n.invokeCallHook(e,t),n.poolingFunction(bM(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M),IB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),vB(e,t,n,r,a,"max")},t}(NB);IB.className="MaxPooling3D",sR(IB);var SB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return yD(a),bD(r),vB(e,t,n,r,a,"avg")},t}(NB);SB.className="AveragePooling3D",sR(SB);var TB=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new TM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new WF},t}(_M),CB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return JN((function(){var t=bM(e);return LT(t,1)}))},t}(TB);CB.className="GlobalAveragePooling1D",sR(CB);var EB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return JN((function(){var t=bM(e);return WS(t,1)}))},t}(TB);EB.className="GlobalMaxPooling1D",sR(EB);var AB=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,yD(n.dataFormat),n.inputSpec=[new TM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new WF},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(_M),RB=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return JN((function(){var t=bM(e);return"channelsLast"===n.dataFormat?LT(t,[1,2]):LT(t,[2,3])}))},t}(AB);RB.className="GlobalAveragePooling2D",sR(RB);var _B=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return JN((function(){var t=bM(e);return"channelsLast"===n.dataFormat?WS(t,[1,2]):WS(t,[2,3])}))},t}(AB);_B.className="GlobalMaxPooling2D",sR(_B);var OB=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}Cv(t,e);var n=t.prototype;return n.build=function(e){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(e){this.layer.setWeights(e)},n.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=hL(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},Tv(t,[{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}}]),t}(_M),FB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return 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i,o={};if(o.className=t.layer.getClassName(),o.config=r,n.backwardLayer=hL(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,i=n.mergeMode,rD(vD,"BidirectionalMergeMode",i),t.weights)throw new WF("weights support is not implemented for Bidirectional layer yet.");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}Cv(t,e);var n=t.prototype;return n.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},n.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},n.computeOutputShape=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()):qF(n)},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=TP(t,r,a,this.numConstants);if(t=i.inputs,r=i.initialState,a=i.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==a)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new BF("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map((function(e){return new TM({shape:e.shape})}));this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=a)throw new 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n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=MC(a,1)),"concat"===n.mergeMode?o=PD([r,a]):"sum"===n.mergeMode?o=nI(r,a):"ave"===n.mergeMode?o=iI(.5,nI(r,a)):"mul"===n.mergeMode?o=iI(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))},n.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},n.build=function(e){var t=this;kD(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),kD(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0},n.computeMask=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 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n.getConfig=function(){var t={numTokens:this.numTokens,outputMode:this.outputMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.computeOutputShape=function(e){return null==(e=xM(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)},n.call=function(e,t){var n=this;return JN((function(){var r;if("int32"!==(e=bM(e)).dtype&&(e=FD(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new BF("countWeights is not used when outputMode !== count.\n Received countWeights="+t.countWeights);r=bM(t.countWeights)}var a=WS(e),i=VS(e),o=rT(n.numTokens,a).bufferSync().get(0),s=aT(i,0).bufferSync().get(0);if(!o||!s)throw new BF("Input values must be between 0 < values <= numTokens with numTokens="+n.numTokens);return function(e,t,n,r){var a=bM(e);if("int32"!==a.dtype&&(a=FD(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=ZS(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=ZS(a,-1)),a.rank>2)throw new BF("When outputMode is not int, maximum output rank is 2 Received outputMode "+t+" and input shape "+i+" which would result in output rank "+a.rank+".");var o,s=["multiHot","oneHot"].includes(t);if(o=mS(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return iI(o,r);throw new BF("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))},t}(_M);BB.className="CategoryEncoding",sR(BB);var WB=new Set(["bilinear","nearest"]),VB=function(e){function t(t){var n;if((n=e.call(this,t)||this).height=t.height,n.width=t.width,t.interpolation){if(!WB.has(t.interpolation))throw new BF("Invalid interpolation parameter: "+t.interpolation+" is not implemented");n.interpolation=t.interpolation}else n.interpolation="bilinear";return n.cropToAspectRatio=Boolean(t.cropToAspectRatio),n}Cv(t,e);var n=t.prototype;return 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Error("Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n "+r+", and tensor's shape is: "+e.shape);for(var i=eV(e.shape.slice(1),n),o=0===r?0:e.size/r,s=JN((function(){var n=[];e=DI(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,t[s],o];n[s]=DI(WI(e,u,l),i)}return e.dispose(),n})),u=new nV([],n,e.dtype,t.length),l=0;l<s.length;l++)u.setItem(l,s[l]);return u}var sV=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,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,le,ce,pe,he,fe,de,me,ve,ge,ye,be,xe,we,ke,Ne,Ie,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;return kv().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?19:"Switch"===e.t0?21:"Merge"===e.t0?32:"Enter"===e.t0?37:"Exit"===e.t0?41:"NextIteration"===e.t0?44:"TensorArrayV3"===e.t0?47:"TensorArrayWriteV3"===e.t0?57:"TensorArrayReadV3"===e.t0?63:"TensorArrayGatherV3"===e.t0?67:"TensorArrayScatterV3"===e.t0?72:"TensorArrayConcatV3"===e.t0?78:"TensorArraySplitV3"===e.t0?82:"TensorArraySizeV3"===e.t0?88:"TensorArrayCloseV3"===e.t0?91:"TensorListSetItem"===e.t0?95:"TensorListGetItem"===e.t0?101:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?107:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?114:"TensorListGather"===e.t0?122:"TensorListStack"===e.t0?128:"TensorListFromTensor"===e.t0?134:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?140:"TensorListPushBack"===e.t0?145:"TensorListPopBack"===e.t0?150:"TensorListSplit"===e.t0?155:"TensorListLength"===e.t0?161:"TensorListResize"===e.t0?164:170;break;case 3:return a=uW("thenBranch",t,n,r),i=uW("elseBranch",t,n,r),o=uW("cond",t,n,r),s=uW("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return e.delegateYield(kv().mark((function e(){var a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=uW("body",t,n,r),i=uW("cond",t,n,r),o=uW("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:l=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),c=o,p=kv().mark((function e(){var t,n,o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=c,e.next=3,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 3:return c=e.sent,n=c.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:l=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!l[0]){e.next=17;break}return e.delegateYield(p(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:c});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!=typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return l=uW("pred",t,n,r),e.abrupt("return",[dW(l)]);case 21:return c=uW("pred",t,n,r),(p=uW("data",t,n,r)).kept||(p=dW(p)),e.next=26,c.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 0,p],e.next=31;break;case 30:e.t2=[p,void 0];case 31:return e.abrupt("return",e.t2);case 32:if(h=t.inputNames.find((function(e){return void 0!==lW(e,n,r)})),!h){e.next=36;break}return f=lW(h,n,r),e.abrupt("return",[dW(f)]);case 36:return e.abrupt("return",void 0);case 37:return d=uW("frameName",t,n,r),m=uW("tensor",t,n,r),r.enterFrame(d),e.abrupt("return",[dW(m)]);case 41:return v=uW("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[dW(v)]);case 44:return g=uW("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[dW(g)]);case 47:return y=uW("size",t,n,r),b=uW("dtype",t,n,r),x=uW("elementShape",t,n,r),w=uW("dynamicSize",t,n,r),k=uW("clearAfterRead",t,n,r),N=uW("identicalElementShapes",t,n,r),I=uW("name",t,n,r),S=new tV(I,b,y,x,N,w,k),r.addTensorArray(S),e.abrupt("return",[S.idTensor,GS(1)]);case 57:return T=uW("tensorArrayId",t,n,r),C=uW("index",t,n,r),E=uW("tensor",t,n,r),(A=r.getTensorArray(T.id)).write(C,E),e.abrupt("return",[A.idTensor]);case 63:return R=uW("tensorArrayId",t,n,r),_=uW("index",t,n,r),O=r.getTensorArray(R.id),e.abrupt("return",[O.read(_)]);case 67:return F=uW("tensorArrayId",t,n,r),D=uW("indices",t,n,r),M=uW("dtype",t,n,r),L=r.getTensorArray(F.id),e.abrupt("return",[L.gather(D,M)]);case 72:return z=uW("tensorArrayId",t,n,r),P=uW("indices",t,n,r),B=uW("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(P,B),e.abrupt("return",[W.idTensor]);case 78:return V=uW("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=uW("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=uW("tensorArrayId",t,n,r),H=uW("tensor",t,n,r),q=uW("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=uW("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[GS(Y.size(),"int32")]);case 91:return J=uW("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=uW("tensorListId",t,n,r),$=uW("index",t,n,r),ee=uW("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=uW("tensorListId",t,n,r),re=uW("index",t,n,r),ae=uW("elementShape",t,n,r),ie=uW("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=uW("indices",t,n,r),ue=uW("tensor",t,n,r),le=uW("elementShape",t,n,r),ce=uW("numElements",t,n,r),pe=iV(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=uW("elementShape",t,n,r),fe=uW("elementDType",t,n,r),de="TensorListReserve"===t.op?"numElements":"maxNumElements",me=uW(de,t,n,r),ve="TensorListReserve"===t.op?-1:me,ge=aV(he,fe,0,ve),r.addTensorList(ge),e.abrupt("return",[ge.idTensor]);case 122:return ye=uW("tensorListId",t,n,r),be=uW("indices",t,n,r),xe=uW("elementShape",t,n,r),we=uW("elementDType",t,n,r),ke=r.getTensorList(ye.id),e.abrupt("return",[ke.gather(be,we,xe)]);case 128:return Ne=uW("tensorListId",t,n,r),Ie=uW("elementShape",t,n,r),Se=uW("elementDType",t,n,r),Te=uW("numElements",t,n,r),Ce=r.getTensorList(Ne.id),e.abrupt("return",[Ce.stack(Ie,Se,Te)]);case 134:return Ee=uW("tensor",t,n,r),Ae=uW("elementShape",t,n,r),Re=uW("elementDType",t,n,r),_e=rV(Ee,Ae,Re),r.addTensorList(_e),e.abrupt("return",[_e.idTensor]);case 140:return Oe=uW("tensorListId",t,n,r),Fe=r.getTensorList(Oe.id),De=uW("dtype",t,n,r),Me=uW("elementShape",t,n,r),e.abrupt("return",[Fe.concat(De,Me)]);case 145:return Le=uW("tensorListId",t,n,r),ze=uW("tensor",t,n,r),(Pe=r.getTensorList(Le.id)).pushBack(ze),e.abrupt("return",[Pe.idTensor]);case 150:return Be=uW("tensorListId",t,n,r),We=uW("elementShape",t,n,r),Ve=uW("elementDType",t,n,r),Ue=r.getTensorList(Be.id),e.abrupt("return",[Ue.popBack(We,Ve)]);case 155:return Ge=uW("tensor",t,n,r),je=uW("elementShape",t,n,r),He=uW("lengths",t,n,r),qe=oV(Ge,He,je),r.addTensorList(qe),e.abrupt("return",[qe.idTensor]);case 161:return Ke=uW("tensorListId",t,n,r),Xe=r.getTensorList(Ke.id),e.abrupt("return",[GS(Xe.size(),"int32")]);case 164:return Ye=uW("tensorListId",t,n,r),Je=uW("size",t,n,r),Ze=r.getTensorList(Ye.id),Qe=Ze.resize(Je),r.addTensorList(Qe),e.abrupt("return",[Qe.idTensor]);case 170:throw TypeError("Node type "+t.op+" is not implemented");case 171:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function uV(e,t,n){var r=uW("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,l="fusedbatchnorm"===a,c=uW("numArgs",e,t,n);if(o){if(u&&2!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var p=uW("strides",e,t,n),h=fW(e,t,n),f=uW("dataFormat",e,t,n).toUpperCase(),d=uW("dilations",e,t,n),m=uW("args",e,t,n),v=m[0],g=m[1];return s&&(g=v,v=void 0),{stride:p,pad:h,dataFormat:f,dilations:d,biasArg:v,preluArg:g,activationFunc:i,leakyreluAlpha:uW("leakyreluAlpha",e,t,n)}}function lV(e,t,n){return{boxes:uW("boxes",e,t,n),scores:uW("scores",e,t,n),maxOutputSize:uW("maxOutputSize",e,t,n),iouThreshold:uW("iouThreshold",e,t,n),scoreThreshold:uW("scoreThreshold",e,t,n),softNmsSigma:uW("softNmsSigma",e,t,n)}}var cV=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,C,E,A;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===i&&(i=JW),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 o=lV(t,n,r),s=o.boxes,u=o.scores,l=o.maxOutputSize,c=o.iouThreshold,p=o.scoreThreshold,h=o.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(s,u,l,c,p,h);case 7:return f=e.sent,e.abrupt("return",[f.selectedIndices,f.selectedScores]);case 9:return d=lV(t,n,r),m=d.boxes,v=d.scores,g=d.maxOutputSize,y=d.iouThreshold,b=d.scoreThreshold,x=uW("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,v,g,y,b,x);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return k=lV(t,n,r),N=k.boxes,I=k.scores,S=k.maxOutputSize,T=k.iouThreshold,C=k.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,I,S,T,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return E=i.cast(uW("condition",t,n,r),"bool"),e.next=23,i.whereAsync(E);case 23:return e.t2=e.sent,A=[e.t2],E.dispose(),e.abrupt("return",A);case 27:return e.abrupt("return",i.setdiff1dAsync(uW("x",t,n,r),uW("y",t,n,r)));case 28:throw TypeError("Node type "+t.op+" is not implemented");case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),pV=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=GS(0),this.tensorMap=new Map,QN(this.handle)}var t=e.prototype;return t.clearAndClose=function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()},t.size=function(){return this.tensorMap.size},t.tensorSize=function(){return GS(this.size(),"int32")},t.import=function(){var e=Iv(kv().mark((function e(t,n){var r,a=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",JN((function(){var e=wE(n),t=r.length,i=e.length;Hv(t===i,(function(){return"The number of elements doesn't match, keys has "+t+" elements, the values has "+i+" elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];QN(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.find=function(){var e=Iv(kv().mark((function e(t,n){var r,a=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",JN((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return sE(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.findWithDefault=function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t},t.checkKeyAndValueTensor=function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+e.dtype);if(t.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+t.dtype)},Tv(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),hV=function(){var e=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return o=uW("keyDType",t,n,r),s=uW("valueDType",t,n,r),u=new pV(o,s),a.addHashTable(t.name,u),e.abrupt("return",[u.handle]);case 13:return l=uW("tableHandle",t,n,r,a),c=uW("keys",t,n,r),p=uW("values",t,n,r),h=a.getHashTableById(l.id),e.next=19,h.import(c,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return f=uW("tableHandle",t,n,r,a),d=uW("keys",t,n,r),m=uW("defaultValue",t,n,r),v=a.getHashTableById(f.id),e.next=27,v.find(d,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return g=uW("tableHandle",t,n,r,a),y=a.getHashTableById(g.id),e.abrupt("return",[y.tensorSize()]);case 32:throw TypeError("Node type "+t.op+" is not implemented");case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function fV(e,t,n,r,a){void 0===a&&(a=JN);var i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(uW("a",e,t,n),uW("b",e,t,n))];case"AddN":return[r.addN(uW("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(uW("a",e,t,n),uW("b",e,t,n))];case"Mul":return[r.mul(uW("a",e,t,n),uW("b",e,t,n))];case"RealDiv":case"Div":return[r.div(uW("a",e,t,n),uW("b",e,t,n))];case"DivNoNan":return[r.divNoNan(uW("a",e,t,n),uW("b",e,t,n))];case"FloorDiv":return[r.floorDiv(uW("a",e,t,n),uW("b",e,t,n))];case"Sub":return[r.sub(uW("a",e,t,n),uW("b",e,t,n))];case"Minimum":return[r.minimum(uW("a",e,t,n),uW("b",e,t,n))];case"Maximum":return[r.maximum(uW("a",e,t,n),uW("b",e,t,n))];case"Pow":return[r.pow(uW("a",e,t,n),uW("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(uW("a",e,t,n),uW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Abs":case"ComplexAbs":return[r.abs(uW("x",e,t,n))];case"Acos":return[r.acos(uW("x",e,t,n))];case"Acosh":return[r.acosh(uW("x",e,t,n))];case"Asin":return[r.asin(uW("x",e,t,n))];case"Asinh":return[r.asinh(uW("x",e,t,n))];case"Atan":return[r.atan(uW("x",e,t,n))];case"Atan2":return[r.atan2(uW("x",e,t,n),uW("y",e,t,n))];case"Atanh":return[r.atanh(uW("x",e,t,n))];case"Ceil":return[r.ceil(uW("x",e,t,n))];case"Complex":return[r.complex(uW("real",e,t,n),uW("imag",e,t,n))];case"Cos":return[r.cos(uW("x",e,t,n))];case"Cosh":return[r.cosh(uW("x",e,t,n))];case"Elu":return[r.elu(uW("x",e,t,n))];case"Erf":return[r.erf(uW("x",e,t,n))];case"Exp":return[r.exp(uW("x",e,t,n))];case"Expm1":return[r.expm1(uW("x",e,t,n))];case"Floor":return[r.floor(uW("x",e,t,n))];case"Log":return[r.log(uW("x",e,t,n))];case"Log1p":return[r.log1p(uW("x",e,t,n))];case"Imag":return[r.imag(uW("x",e,t,n))];case"Neg":return[r.neg(uW("x",e,t,n))];case"Reciprocal":return[r.reciprocal(uW("x",e,t,n))];case"Real":return[r.real(uW("x",e,t,n))];case"Relu":return[r.relu(uW("x",e,t,n))];case"Round":return[r.round(uW("x",e,t,n))];case"Selu":return[r.selu(uW("x",e,t,n))];case"Sigmoid":return[r.sigmoid(uW("x",e,t,n))];case"Sin":return[r.sin(uW("x",e,t,n))];case"Sign":return[r.sign(uW("x",e,t,n))];case"Sinh":return[r.sinh(uW("x",e,t,n))];case"Softplus":return[r.softplus(uW("x",e,t,n))];case"Sqrt":return[r.sqrt(uW("x",e,t,n))];case"Square":return[r.square(uW("x",e,t,n))];case"Tanh":return[r.tanh(uW("x",e,t,n))];case"Tan":return[r.tan(uW("x",e,t,n))];case"ClipByValue":return[r.clipByValue(uW("x",e,t,n),uW("clipValueMin",e,t,n),uW("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(uW("x",e,t,n))];case"Rsqrt":return[r.rsqrt(lW(e.inputNames[0],t,n))];case"Prod":return[r.prod(uW("x",e,t,n),uW("axes",e,t,n))];case"LeakyRelu":return[r.leakyRelu(uW("x",e,t,n),uW("alpha",e,t,n))];case"Prelu":return[r.prelu(uW("x",e,t,n),uW("alpha",e,t,n))];case"IsNan":return[r.isNaN(lW(e.inputNames[0],t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return sV(e,t,n);case"convolution":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Conv1D":var a=uW("stride",e,t,n),i=uW("pad",e,t,n),o=uW("dataFormat",e,t,n).toUpperCase(),s=uW("dilation",e,t,n);return[r.conv1d(uW("x",e,t,n),uW("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=uW("strides",e,t,n),l=fW(e,t,n),c=uW("dataFormat",e,t,n).toUpperCase(),p=uW("dilations",e,t,n);return[r.conv2d(uW("x",e,t,n),uW("filter",e,t,n),[u[1],u[2]],l,c,[p[1],p[2]])];case"_FusedConv2D":var h=uV(e,t,n),f=h.stride,d=h.pad,m=h.dataFormat,v=h.dilations,g=h.biasArg,y=h.preluArg,b=h.activationFunc,x=h.leakyreluAlpha;return[r.fused.conv2d({x:uW("x",e,t,n),filter:uW("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:m,dilations:[v[1],v[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var w=uV(e,t,n),k=w.stride,N=w.pad,I=w.dataFormat,S=w.dilations,T=w.biasArg,C=w.preluArg,E=w.activationFunc,A=w.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:uW("x",e,t,n),filter:uW("filter",e,t,n),strides:[k[1],k[2]],pad:N,dataFormat:I,dilations:[S[1],S[2]],bias:T,activation:E,preluActivationWeights:C,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=uW("outputShape",e,t,n),_=uW("strides",e,t,n),O=fW(e,t,n);return[r.conv2dTranspose(uW("x",e,t,n),uW("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=uW("strides",e,t,n),D=fW(e,t,n),M=uW("dilations",e,t,n),L=uW("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(uW("input",e,t,n),uW("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=uW("strides",e,t,n),P=uW("pad",e,t,n),B=uW("dataFormat",e,t,n).toUpperCase(),W=uW("dilations",e,t,n);return[r.conv3d(uW("x",e,t,n),uW("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=uW("strides",e,t,n),U=uW("pad",e,t,n),G=uW("kernelSize",e,t,n);return[r.avgPool(uW("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=uW("strides",e,t,n),H=uW("pad",e,t,n),q=uW("kernelSize",e,t,n);return[r.maxPool(uW("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=uW("strides",e,t,n),X=uW("pad",e,t,n),Y=uW("kernelSize",e,t,n),J=uW("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(uW("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J);return[Z.result,Z.indexes];case"AvgPool3D":var Q=uW("strides",e,t,n),$=uW("pad",e,t,n),ee=uW("kernelSize",e,t,n);return[r.avgPool3d(uW("x",e,t,n),[ee[1],ee[2],ee[3]],[Q[1],Q[2],Q[3]],$)];case"MaxPool3D":var te=uW("strides",e,t,n),ne=uW("pad",e,t,n),re=uW("kernelSize",e,t,n);return[r.maxPool3d(uW("x",e,t,n),[re[1],re[2],re[3]],[te[1],te[2],te[3]],ne)];case"Dilation2D":var ae=uW("strides",e,t,n),ie=uW("pad",e,t,n),oe=uW("dilations",e,t,n),se=ae[1],ue=ae[2],le=oe[1],ce=oe[2];return[r.dilation2d(uW("x",e,t,n),uW("filter",e,t,n),[se,ue],ie,[le,ce],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Fill":var a=uW("shape",e,t,n),i=uW("dtype",e,t,n),o=uW("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=uW("start",e,t,n),u=uW("stop",e,t,n),l=uW("num",e,t,n);return[r.linspace(s,u,l)];case"Multinomial":var c=uW("logits",e,t,n),p=uW("numSamples",e,t,n),h=uW("seed",e,t,n);return[r.multinomial(c,p,h)];case"OneHot":var f=uW("indices",e,t,n),d=uW("depth",e,t,n),m=uW("onValue",e,t,n),v=uW("offValue",e,t,n),g=uW("dtype",e,t,n);return[r.oneHot(f,d,m,v,g)];case"Ones":return[r.ones(uW("shape",e,t,n),uW("dtype",e,t,n))];case"OnesLike":return[r.onesLike(uW("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(uW("shape",e,t,n),uW("dtype",e,t,n),uW("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(uW("shape",e,t,n),uW("minval",e,t,n),uW("maxval",e,t,n),uW("dtype",e,t,n))];case"Range":var y=uW("start",e,t,n),b=uW("stop",e,t,n),x=uW("step",e,t,n);return[r.range(y,b,x,uW("dtype",e,t,n))];case"TruncatedNormal":var w=uW("shape",e,t,n),k=uW("mean",e,t,n),N=uW("stdDev",e,t,n),I=uW("seed",e,t,n);return[r.truncatedNormal(w,k,N,uW("dtype",e,t,n),I)];case"Zeros":return[r.zeros(uW("shape",e,t,n),uW("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(uW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return cV(e,t,n);case"evaluation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"LowerBound":var a=uW("sortedSequence",e,t,n),i=uW("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=uW("x",e,t,n),s=uW("k",e,t,n),u=uW("sorted",e,t,n),l=r.topk(o,s,u);return[l.values,l.indices];case"UpperBound":var c=uW("sortedSequence",e,t,n),p=uW("values",e,t,n);return[r.upperBound(c,p)];case"Unique":var h=uW("x",e,t,n),f=r.unique(h);return[f.values,f.indices];case"UniqueV2":var d=uW("x",e,t,n),m=uW("axis",e,t,n),v=r.unique(d,m);return[v.values,v.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"ResizeBilinear":var a=uW("images",e,t,n),i=uW("size",e,t,n),o=uW("alignCorners",e,t,n),s=uW("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=uW("images",e,t,n),l=uW("size",e,t,n),c=uW("alignCorners",e,t,n),p=uW("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[l[0],l[1]],c,p)];case"CropAndResize":var h=uW("image",e,t,n),f=uW("boxes",e,t,n),d=uW("boxInd",e,t,n),m=uW("cropSize",e,t,n),v=uW("method",e,t,n),g=uW("extrapolationValue",e,t,n);return[r.image.cropAndResize(h,f,d,m,v,g)];case"ImageProjectiveTransformV3":var y=uW("images",e,t,n),b=uW("transforms",e,t,n),x=uW("outputShape",e,t,n),w=uW("fillValue",e,t,n),k=uW("interpolation",e,t,n),N=uW("fillMode",e,t,n);return[r.image.transform(y,b,k.toLowerCase(),N.toLowerCase(),w,x)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=uW("default",e,t,n);return[lW(e.name,t,n)||a];case"Placeholder":return[lW(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[dW(uW("x",e,t,n))];case"IdentityN":return uW("x",e,t,n).map((function(e){return dW(e)}));case"Shape":return[r.tensor1d(uW("x",e,t,n).shape,"int32")];case"ShapeN":return uW("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(uW("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(uW("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var i=uW("x",e,t,n),o=uW("data",e,t,n),s=uW("message",e,t,n),u=uW("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(s);for(var l=0;l<o.length;l++)console.log(Array.prototype.slice.call(o[l].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Equal":return[r.equal(uW("a",e,t,n),uW("b",e,t,n))];case"NotEqual":return[r.notEqual(uW("a",e,t,n),uW("b",e,t,n))];case"Greater":return[r.greater(uW("a",e,t,n),uW("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(uW("a",e,t,n),uW("b",e,t,n))];case"Less":return[r.less(uW("a",e,t,n),uW("b",e,t,n))];case"LessEqual":return[r.lessEqual(uW("a",e,t,n),uW("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(uW("a",e,t,n),uW("b",e,t,n))];case"LogicalNot":return[r.logicalNot(uW("a",e,t,n))];case"LogicalOr":return[r.logicalOr(uW("a",e,t,n),uW("b",e,t,n))];case"Select":case"SelectV2":return[r.where(uW("condition",e,t,n),uW("a",e,t,n),uW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return a((function(){return function(e,t,n,r){var a;switch(void 0===r&&(r=JW),e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(uW("a",e,t,n),uW("b",e,t,n),uW("transposeA",e,t,n),uW("transposeB",e,t,n))];case"Einsum":return[(a=r).einsum.apply(a,[uW("equation",e,t,n)].concat(uW("tensors",e,t,n)))];case"Transpose":return[r.transpose(uW("x",e,t,n),uW("perm",e,t,n))];case"_FusedMatMul":var i=uW("fusedOps",e,t,n),o=i[0],s=i[1],u="biasadd"===o,l="prelu"===s,c=uW("numArgs",e,t,n),p=uW("leakyreluAlpha",e,t,n);if(u){if(l&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!l&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var h=uW("args",e,t,n),f=h[0],d=h[1];return[r.fused.matMul({a:uW("a",e,t,n),b:uW("b",e,t,n),transposeA:uW("transposeA",e,t,n),transposeB:uW("transposeB",e,t,n),bias:f,activation:s,preluActivationWeights:d,leakyreluAlpha:p})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"EuclideanNorm":return[r.euclideanNorm(uW("x",e,t,n),uW("axis",e,t,n),uW("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(uW("x",e,t,n),uW("mean",e,t,n),uW("variance",e,t,n),uW("offset",e,t,n),uW("scale",e,t,n),uW("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(uW("x",e,t,n),uW("radius",e,t,n),uW("bias",e,t,n),uW("alpha",e,t,n),uW("beta",e,t,n))];case"Softmax":return[r.softmax(uW("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(uW("x",e,t,n))];case"SparseToDense":return[r.sparseToDense(uW("sparseIndices",e,t,n),uW("outputShape",e,t,n),uW("sparseValues",e,t,n),uW("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"ragged":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"RaggedGather":var a=r.raggedGather(uW("paramsNestedSplits",e,t,n),uW("paramsDenseValues",e,t,n),uW("indices",e,t,n),uW("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(uW("starts",e,t,n),uW("limits",e,t,n),uW("splits",e,t,n));return[s.rtNestedSplits,s.rtDenseValues];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(uW("shape",e,t,n),uW("values",e,t,n),uW("defaultValue",e,t,n),uW("rowPartitionTensors",e,t,n),uW("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Max":var a=uW("axis",e,t,n),i=uW("keepDims",e,t,n);return[r.max(uW("x",e,t,n),a,i)];case"Mean":var o=uW("axis",e,t,n),s=uW("keepDims",e,t,n);return[r.mean(uW("x",e,t,n),o,s)];case"Min":var u=uW("axis",e,t,n),l=uW("keepDims",e,t,n);return[r.min(uW("x",e,t,n),u,l)];case"Sum":var c=uW("axis",e,t,n),p=uW("keepDims",e,t,n);return[r.sum(uW("x",e,t,n),c,p)];case"All":var h=uW("axis",e,t,n),f=uW("keepDims",e,t,n);return[r.all(uW("x",e,t,n),h,f)];case"Any":var d=uW("axis",e,t,n),m=uW("keepDims",e,t,n);return[r.any(uW("x",e,t,n),d,m)];case"ArgMax":var v=uW("axis",e,t,n);return[r.argMax(uW("x",e,t,n),v)];case"ArgMin":var g=uW("axis",e,t,n);return[r.argMin(uW("x",e,t,n),g)];case"Prod":var y=uW("axis",e,t,n),b=uW("keepDims",e,t,n);return[r.prod(uW("x",e,t,n),y,b)];case"Cumprod":var x=uW("axis",e,t,n),w=uW("exclusive",e,t,n),k=uW("reverse",e,t,n);return[r.cumprod(uW("x",e,t,n),x,w,k)];case"Cumsum":var N=uW("axis",e,t,n),I=uW("exclusive",e,t,n),S=uW("reverse",e,t,n);return[r.cumsum(uW("x",e,t,n),N,I,S)];case"Bincount":var T=uW("x",e,t,n),C=uW("weights",e,t,n),E=uW("size",e,t,n);return[r.bincount(T,C,E)];case"DenseBincount":var A=uW("x",e,t,n),R=uW("weights",e,t,n),_=uW("size",e,t,n),O=uW("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"ConcatV2":case"Concat":var a=uW("n",e,t,n),i=uW("axis",e,t,n),o=uW("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=uW("x",e,t,n),u=uW("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var l=uW("axis",e,t,n),c=uW("batchDims",e,t,n),p=uW("x",e,t,n),h=uW("indices",e,t,n);return[r.gather(p,r.cast(h,"int32"),l,c)];case"Reverse":for(var f=uW("dims",e,t,n),d=[],m=0;m<f.length;m++)f[m]&&d.push(m);var v=uW("x",e,t,n);return[r.reverse(v,d)];case"ReverseV2":var g=uW("axis",e,t,n),y=uW("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=uW("begin",e,t,n),x=uW("size",e,t,n);return[r.slice(uW("x",e,t,n),b,x)];case"StridedSlice":var w=uW("begin",e,t,n),k=uW("end",e,t,n),N=uW("strides",e,t,n),I=uW("beginMask",e,t,n),S=uW("endMask",e,t,n),T=uW("ellipsisMask",e,t,n),C=uW("newAxisMask",e,t,n),E=uW("shrinkAxisMask",e,t,n),A=uW("x",e,t,n);return[r.stridedSlice(A,w,k,N,I,S,T,C,E)];case"Pack":return JN((function(){var a=uW("axis",e,t,n),i=uW("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=Yv(e.shape,o);if(!t&&!Yv(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=uW("axis",e,t,n),_=uW("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=uW("reps",e,t,n);return[r.tile(uW("x",e,t,n),O)];case"Split":case"SplitV":var F=uW("axis",e,t,n),D=uW("numOrSizeSplits",e,t,n),M=uW("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=uW("indices",e,t,n),z=uW("values",e,t,n),P=uW("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=uW("x",e,t,n),W=uW("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=uW("sparseIndices",e,t,n),U=uW("outputShape",e,t,n),G=uW("sparseValues",e,t,n),j=uW("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"sparse":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(uW("indices",e,t,n),uW("values",e,t,n),uW("denseShape",e,t,n),uW("defaultValue",e,t,n));return[a.outputIndices,a.outputValues,a.emptyRowIndicator,a.reverseIndexMap];case"SparseReshape":var i=r.sparse.sparseReshape(uW("inputIndices",e,t,n),uW("inputShape",e,t,n),uW("newShape",e,t,n));return[i.outputIndices,i.outputShape];case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(uW("data",e,t,n),uW("indices",e,t,n),uW("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(uW("data",e,t,n),uW("indices",e,t,n),uW("segmentIds",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"FFT":return[r.fft(uW("x",e,t,n))];case"IFFT":return[r.ifft(uW("x",e,t,n))];case"RFFT":return[r.rfft(uW("x",e,t,n))];case"IRFFT":return[r.irfft(uW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"string":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"StringNGrams":var a=r.string.stringNGrams(uW("data",e,t,n),uW("dataSplits",e,t,n),uW("separator",e,t,n),uW("nGramWidths",e,t,n),uW("leftPad",e,t,n),uW("rightPad",e,t,n),uW("padWidth",e,t,n),uW("preserveShortSequences",e,t,n));return[a.nGrams,a.nGramsSplits];case"StringSplit":var i=r.string.stringSplit(uW("input",e,t,n),uW("delimiter",e,t,n),uW("skipEmpty",e,t,n));return[i.indices,i.values,i.shape];case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(uW("input",e,t,n),uW("numBuckets",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=JW),e.op){case"Cast":return[r.cast(uW("x",e,t,n),uW("dtype",e,t,n))];case"ExpandDims":var a=uW("axis",e,t,n);return[r.expandDims(uW("x",e,t,n),a)];case"Squeeze":var i=uW("axis",e,t,n);return[r.squeeze(uW("x",e,t,n),i)];case"Reshape":return[r.reshape(uW("x",e,t,n),uW("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(uW("x",e,t,n),uW("padding",e,t,n),uW("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(uW("x",e,t,n),uW("padding",e,t,n),uW("constantValue",e,t,n))];case"SpaceToBatchND":var o=uW("blockShape",e,t,n),s=uW("paddings",e,t,n);return[r.spaceToBatchND(uW("x",e,t,n),o,s)];case"BatchToSpaceND":var u=uW("blockShape",e,t,n),l=uW("crops",e,t,n);return[r.batchToSpaceND(uW("x",e,t,n),u,l)];case"DepthToSpace":var c=uW("blockSize",e,t,n),p=uW("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(uW("x",e,t,n),c,p)];case"BroadcastTo":return[r.broadcastTo(uW("x",e,t,n),uW("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(uW("s0",e,t,n),uW("s1",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return hV(e,t,n,r);case"custom":var i=sW(e.op);if(i&&i.customExecutor)return i.customExecutor(new YW(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return Tg(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var dV=function(){function e(e,t,n,r){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var t=e.prototype;return t.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},t.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},t.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},t.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},t.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.getWeight=function(e){return this.weightMap[e]},t.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},t.getTensorArray=function(e){return this.tensorArrayMap[e]},t.addTensorList=function(e){this.tensorListMap[e.id]=e},t.getTensorList=function(e){return this.tensorListMap[e]},t.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)},Tv(e,[{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}}]),e}();function mV(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=Object.keys(e).map((function(e){return hW(e)[0]})),c=[];null!=r&&(c=r.map((function(e){return hW(e.name)[0]})));for(var p=[].concat(t);p.length>0;){var h=p.pop();(bV(h)||xV(h)||wV(h))&&null==o&&(s=(o=h).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(h.name),null==n[h.name]&&(-1===l.indexOf(h.name)&&-1===c.indexOf(h.name)&&(0!==h.inputs.length?h.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),p.push(e))})):i.push(h.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var vV=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],gV=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],yV=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function bV(e){return vV.indexOf(e.op)>=0}function xV(e){return gV.indexOf(e.op)>=0}function wV(e){return yV.indexOf(e.op)>=0}var kV=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",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=e.prototype;return t.getCompilationKey=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.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.compile=function(e,t){var n=mV(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 '"+a.name+"', which has the dynamic op '"+a.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+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 ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(e,t,n){var r=n.usedNodes,a=n.inputs,i=[],o=Object.keys(a).map((function(e){return hW(e)[0]})).map((function(t){return e.nodes[t]})),s=e.initNodes;o.forEach((function(e){r.has(e.name)&&i.push(e)})),e.weights.forEach((function(e){r.has(e.name)&&i.push(e)})),null!=s&&s.forEach((function(e){r.has(e.name)&&i.push(e)}));for(var u=new Set,l=[];i.length>0;){var c=i.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach((function(e){!u.has(e.name)&&r.has(e.name)&&e.inputs.every((function(e){return u.has(e.name)}))&&i.push(e)}))}return l}(this.graph,this.weightMap,n)},t.cloneAndKeepTensor=function(e){if(null==e)return null;var t=e.clone();return QN(t),t},t.cloneTensorList=function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n},t.cloneTensorMap=function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=e[0],r=e[1];return[n,t.cloneTensorList(r)]})))},t.execute=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[hW(e)[0]]})),i=t.map((function(e){return hW(e)[0]})),o=i.map((function(e){return n.graph.nodes[e]}));0===o.length&&(o=this._outputs);var s=this.getCompilationKey(a,o),u=this.compiledMap.get(s);null==u&&(u=this.compile(e,o),this.compiledMap.set(s,u));try{this.keepIntermediateTensors=Og().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},c={};return JN((function(){var r=new dV(n.weightMap,l,c,n.functionExecutorMap),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var r=hW(t),i=r[0],o=[];o[r[1]]=e[t],a[i]=o,n.keepIntermediateTensors&&(n.clonedTensorsMap[i]=n.cloneTensorList(o))}));for(var o=n.getFrozenTensorIds(a),s={},p=0;p<u.length;p++){var h=u[p];if(!a[h.name]){var f=fV(h,a,r,n._resourceManager);if(Tg(f))throw new Error("The execution of the op '"+h.op+"' returned a promise. Please use model.executeAsync() instead.");a[h.name]=f,n.keepIntermediateTensors&&(n.clonedTensorsMap[h.name]=n.cloneTensorList(f)),n.checkTensorForDisposal(h.name,h,a,r,o,i,s)}}return null==n.parent&&r.dispose(o),t.map((function(e){return lW(e,a,r)}))}))},t.getFrozenTensorIds=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)},t.checkTensorForDisposal=function(e,t,n,r,a,i,o){"control"!==t.category&&-1===i.indexOf(e)&&(n[e].forEach((function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)})),t.inputs.forEach((function(e){if("control"!==e.category){var t=function(e,t,n){return t[pW(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((function(e){if(e&&!e.kept&&!a.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}}))}})))},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){return kv().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)})));return function(t,n){return e.apply(this,arguments)}}(),t.disposeIntermediateTensors=function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){for(var t,n=Lv(e);!(t=n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}})),this.clonedTensorsMap=null)},t.getIntermediateTensors=function(){return this.clonedTensorsMap},t._executeAsync=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===r&&(r=!1),void 0===a&&(a={}),void 0===i&&(i={}),this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=Og().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return o=new dV(this.weightMap,a,i,this.functionExecutorMap),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,o,n,r);case 10:return s=e.sent,u=n.map((function(e){return lW(e,s,o)})),l=u.map((function(e){return e.id})),c=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(l,c,this.weightIds)),Object.values(s).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&o.dispose(p),e.abrupt("return",u);case 18:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),t.executeFunctionAsync=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),t.executeWithControlFlow=function(){var e=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),o=i.map((function(e){return k.graph.nodes[hW(e)[0]]})),s=r.map((function(e){return hW(e)[0]})),0===(u=s.map((function(e){return k.graph.nodes[e]}))).length&&(u=this._outputs),l=mV(t,u,this.weightMap,this._initNodes),c=l.usedNodes,p=l.missingInputs,h=l.dynamicNode,f=l.syncInputs,d=[].concat(o,this.graph.weights,this._initNodes||[]).map((function(e){return{node:e,contexts:n.currentContext}})),m=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=hW(e),r=n[0],a=[];a[n[1]]=t[e],m[r]=a})),v={},g=this.getFrozenTensorIds(m),y={};case 12:if(!(d.length>0)){e.next=18;break}return b=this.processStack(o,d,n,m,y,g,s,v,c),e.next=16,Promise.all(b);case 16:e.next=12;break;case 18:if(null!=h||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),x=u.filter((function(e){return!bV(e)&&!lW(e.name,m,n)})).map((function(e){return e.name})),!(x.length>0)){e.next=24;break}throw w="",null!=h&&(w="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+x+"] from the provided inputs ["+i+"]. Consider providing the following inputs: ["+p+"]. "+w);case 24:return e.abrupt("return",m);case 25:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),t.processStack=function(e,t,n,r,a,i,o,s,u){for(var l=this,c=[],p=function(){var e=t.pop();n.currentContext=e.contexts;var p="";if("Enter"===e.node.op&&uW("isConstant",e.node,r,n)){var h=cW(e.node.name,n);p=h[0]}if(null==r[e.node.name]){var f=fV(e.node,r,n,l._resourceManager);if(!p){var d=cW(e.node.name,n);p=d[0]}var m=n.currentContext;Tg(f)?c.push(f.then((function(c){return r[p]=c,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(c)),n.currentContext=m,l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u),c}))):(r[p]=f,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(f)),l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u))}else l.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)p();return c},t.processChildNodes=function(e,t,n,r,a,i){e.children.forEach((function(e){var o=cW(e.name,n)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!lW(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!lW(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))},t.dispose=function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))},t.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=hW(n)[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}));Hv(s,(function(){return"The shape of dict['"+i.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+r.shape+"]"}))}i.attrParams.dtype&&i.attrParams.dtype.value&&Hv(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['"+i.name+"'] provided in model.execute(dict) must be "+i.attrParams.dtype.value+", but was "+r.dtype}))}))},t.mapInputs=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},t.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=hW(e)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+n+"] that are not part of graph")},t.mapOutputs=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}),{})},t.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=hW(e)[0];if(!t.graph.nodes[n])throw new Error("The output '"+e+"' is not found in the graph")}))},Tv(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,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?t+":"+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}),{})}}]),e}(),NV=function(){function e(e,t){void 0===e&&(e={}),void 0===t&&(t={}),this.hashTableNameToHandle=e,this.hashTableMap=t}var t=e.prototype;return t.addHashTable=function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t},t.getHashTableHandleByName=function(e){return this.hashTableNameToHandle[e]},t.getHashTableById=function(e){return this.hashTableMap[e]},t.dispose=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}(),IV=function(){function e(e,t,n){void 0===t&&(t={}),void 0===n&&(n=zR),this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,null==t&&(this.loadOptions={}),this.resourceManager=new NV}var t=e.prototype;return t.findIOHandler=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 ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},t.load=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 Tg(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)},t.loadSync=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=t.versions.producer+"."+t.versions.minConsumer;var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new kV(DW.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=DW.Instance.transformGraph(e.modelInitializer);this.initializer=new kV(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0},t.save=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.addStructuredOutputNames=function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof nk?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e},t.predict=function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)},t.predictAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.normalizeInputs=function(e){var t,n=this;if(!(e instanceof nk||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has "+(this.inputNodes.length-o)+" non-resource placeholders, while there are "+e.length+" input tensors provided.");var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})},t.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},t.executeInitializerGraph=function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))},t.executeInitializerGraphAsync=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.setResourceIdToCapturedInput=function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}},t.execute=function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.getIntermediateTensors=function(){return this.executor.getIntermediateTensors()},t.disposeIntermediateTensors=function(){this.executor.disposeIntermediateTensors()},t.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})},t.dispose=function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&ZN(this.resourceIdToCapturedInput)),this.resourceManager.dispose()},Tv(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}}]),e}();function SV(){return SV=Iv(kv().mark((function e(t,n,r){var a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),void 0===r&&(r=zR),null!=t){e.next=4;break}throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");case 4:return null==n&&(n={}),n.fromTFHub&&"string"==typeof t&&(t=TV(t)),a=new IV(t,n,r),e.next=9,a.load();case 9:return e.abrupt("return",a);case 10:case"end":return e.stop()}}),e)}))),SV.apply(this,arguments)}function TV(e){return e.endsWith("/")||(e+="/"),e+"model.json?tfjs-format=file"}var CV="4.2.0";function EV(e,t,n,r){if(void 0===n&&(n=new Map),void 0===r&&(r=new Set),null==e)return null;if("function"==typeof Blob&&e instanceof Blob)return e.slice();if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(DV(e)){var i=Array.isArray(e)?[]:{};for(var o in r.add(e),e){var s=EV(e[o],t,n,r);i[o]=s}return r.delete(e),e.__proto__&&(i.__proto__=e.__proto__),i}throw new Error("Can't recurse into non-iterable type: "+e)}return n.set(e,a.value),a.value}function AV(e,t){return void 0===t&&(t=_V),RV(e,t)}function RV(e,t,n){void 0===n&&(n=new Set);var r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(DV(r)){var i=Array.isArray(r)?[]:{};n.add(r);var o=function(r){var a=RV(e.map((function(e){return e[r]})),t,n);i[r]=a};for(var s in r)o(s);return n.delete(r),i}throw new Error("Can't recurse into non-iterable type: "+r)}return a.value}function _V(e){return null===e?null:DV(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}function OV(e,t){return FV.apply(this,arguments)}function FV(){return FV=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=new Map,EV(t,n,r),a=0,i=Array.from(r.keys());case 3:if(!(a<i.length)){e.next=14;break}if(o=i[a],!Tg(s=r.get(o))){e.next=11;break}return e.next=9,s;case 9:u=e.sent,r.set(o,u);case 11:a++,e.next=3;break;case 14:return l=EV(t,n,r),e.abrupt("return",l);case 16:case"end":return e.stop()}}),e)}))),FV.apply(this,arguments)}function DV(e){var t=!1;Og().get("IS_BROWSER")?t=e instanceof TextDecoder:t=e instanceof require("string_decoder").StringDecoder;return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"==typeof e&&!(e instanceof nk)&&!(e instanceof Promise)&&!t)}function MV(e){return function(e,t){return EV(e,t)}(e,LV)}function LV(e){return e instanceof nk?{value:e.clone(),recurse:!1}:DV(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var zV=function(){function e(e){if(this.capacity=e,this.begin=0,this.end=0,null==e)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}var t=e.prototype;return t.wrap=function(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity},t.get=function(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]},t.set=function(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t},t.length=function(){var e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e},t.isFull=function(){return this.length()===this.capacity},t.isEmpty=function(){return 0===this.length()},t.push=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)},t.pushAll=function(e){for(var t,n=Lv(e);!(t=n()).done;){var r=t.value;this.push(r)}},t.pop=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var e=this.get(this.end);return this.set(this.end,void 0),e},t.unshift=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)},t.shift=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e},t.shuffleExcise=function(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n},e}(),PV=function(e){function t(){return e.call(this,t.INITIAL_CAPACITY)||this}Cv(t,e);var n=t.prototype;return n.isFull=function(){return!1},n.push=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.push.call(this,t)},n.unshift=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.unshift.call(this,t)},n.expand=function(){for(var e=2*this.capacity,t=new Array(e),n=this.length(),r=0;r<n;r++)t[r]=this.get(this.wrap(this.begin+r));this.data=t,this.capacity=e,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=n},t}(zV);function BV(e){return new HV(e)}function WV(e){return new qV(e)}function VV(e,t){return new rU(e,t)}function UV(e,t){return void 0===t&&(t=GV.FAIL),new aU(e,t)}PV.INITIAL_CAPACITY=32;var GV,jV=function(){function e(){}var t=e.prototype;return t.toArray=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],e.next=3,this.next();case 3:n=e.sent;case 4:if(n.done){e.next=11;break}return t.push(n.value),e.next=8,this.next();case 8:n=e.sent,e.next=4;break;case 11:return e.abrupt("return",t);case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.toArrayForTest=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.prefetch(100),n=[],e.next=4,t.next();case 4:r=e.sent;case 5:if(r.done){e.next=12;break}return n.push(r.value),e.next=9,t.next();case 9:r=e.sent,e.next=5;break;case 12:return e.abrupt("return",n);case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveFully=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:t=e.sent;case 3:if(t.done){e.next=9;break}return e.next=6,this.next();case 6:t=e.sent,e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveWhile=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:n=e.sent,r=t(n.value);case 4:if(n.done||!r){e.next=11;break}return e.next=7,this.next();case 7:n=e.sent,r=t(n.value),e.next=4;break;case 11:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.handleErrors=function(e){return new $V(this,e)},t.filter=function(e){return new ZV(this,e)},t.map=function(e){return new QV(this,e)},t.mapAsync=function(e){return new eU(this,e)},t.serialMapAsync=function(e){return new eU(this,e).serial()},t.flatmap=function(e){return new nU(this,e)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.map(t).resolveFully());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.serialForEach=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.serialMapAsync(t).resolveWhile((function(e){return!0===e})));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.rowMajorBatch=function(e,t){return void 0===t&&(t=!0),new JV(this,e,t)},t.columnMajorBatch=function(e,t,n){return void 0===t&&(t=!0),void 0===n&&(n=_V),this.rowMajorBatch(e,t).map((function(e){return AV(e,n)}))},t.concatenate=function(e,t){return new rU(BV([this,e]),t)},t.take=function(e){return e<0||null==e?this:new YV(this,e)},t.skip=function(e){return e<0||null==e?this:new XV(this,e)},t.prefetch=function(e){return new iU(this,e)},t.shuffle=function(e,t){return new oU(this,e,t)},t.serial=function(){return new KV(this)},e}(),HV=function(e){function t(t){var n;return(n=e.call(this)||this).items=t,n.trav=0,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Array of "+this.items.length+" items"},n.next=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.trav>=this.items.length)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return t=this.items[this.trav],this.trav++,e.abrupt("return",{value:MV(t),done:!1});case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),qV=function(e){function t(t){var n;return(n=e.call(this)||this).nextFn=t,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Function call"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.abrupt("return",this.nextFn());case 4:throw e.prev=4,e.t0=e.catch(0),e.t0.message="Error thrown while iterating through a dataset: "+e.t0.message,e.t0;case 8:case"end":return e.stop()}}),e,this,[[0,4]])})));return function(){return e.apply(this,arguments)}}(),t}(jV),KV=function(e){function t(t){var n;return(n=e.call(this)||this).upstream=t,n.lastRead=Promise.resolve({value:null,done:!1}),n}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Serial"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.upstream.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),XV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Skip"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++<this.maxCount)){e.next=9;break}return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done){e.next=6;break}return e.abrupt("return",t);case 6:ZN(t.value),e.next=0;break;case 9:return e.abrupt("return",this.upstream.next());case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),YV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Take"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++>=this.maxCount)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.abrupt("return",this.upstream.next());case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),JV=function(e){function t(t,n,r){var a;return void 0===r&&(r=!0),(a=e.call(this)||this).upstream=t,a.batchSize=n,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:t=[];case 1:if(!(t.length<this.batchSize)){e.next=12;break}return e.next=4,this.upstream.next();case 4:if(!(n=e.sent).done){e.next=9;break}if(!(this.enableSmallLastBatch&&t.length>0)){e.next=8;break}return e.abrupt("return",{value:t,done:!1});case 8:return e.abrupt("return",{value:null,done:!0});case 9:t.push(n.value),e.next=1;break;case 12:return e.abrupt("return",{value:t,done:!1});case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),ZV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.predicate=n,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Filter"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done&&!this.predicate(t.value)){e.next=6;break}return e.abrupt("return",t);case 6:ZN(t.value),e.next=0;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),QV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Map"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:for(n=vk(t.value),r=this.transform(t.value),a=vk(r),i=Lv(n);!(o=i()).done;)mk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),$V=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.handler=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> handleErrors"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=1,e.next=4,this.upstream.next();case 4:return e.abrupt("return",e.sent);case 7:if(e.prev=7,e.t0=e.catch(1),this.handler(e.t0)){e.next=11;break}return e.abrupt("return",{value:null,done:!0});case 11:e.next=0;break;case 13:case"end":return e.stop()}}),e,this,[[1,7]])})));return function(){return e.apply(this,arguments)}}(),t}(jV),eU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> AsyncMap"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:return n=vk(t.value),e.next=8,this.transform(t.value);case 8:for(r=e.sent,a=vk(r),i=Lv(n);!(o=i()).done;)mk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),tU=function(e){function t(){var t;return(t=e.call(this)||this).outputQueue=new PV,t.lastRead=Promise.resolve({value:null,done:!1}),t}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(0!==this.outputQueue.length()){e.next=7;break}return e.next=3,this.pump();case 3:if(e.sent){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:e.next=0;break;case 7:return e.abrupt("return",{value:this.outputQueue.shift(),done:!1});case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),nU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Flatmap"},n.pump=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",!1);case 5:for(n=vk(t.value),r=this.transform(t.value),a=vk(r),this.outputQueue.pushAll(r),i=Lv(n);!(o=i()).done;)mk(s=o.value,a)||s.dispose();return e.abrupt("return",!0);case 11:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(tU),rU=function(e){function t(t,n){var r;return(r=e.call(this)||this).baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=t,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.readFromChain(this.lastRead),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.readFromChain=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t;case 2:if(null!=this.iterator){e.next=10;break}return e.next=5,this.moreIterators.next();case 5:if(!(n=e.sent).done){e.next=8;break}return e.abrupt("return",{value:null,done:!0});case 8:this.iterator=n.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler));case 10:return e.next=12,this.iterator.next();case 12:if(!(r=e.sent).done){e.next=16;break}return this.iterator=null,e.abrupt("return",this.readFromChain(t));case 16:return e.abrupt("return",r);case 17:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t}(jV);!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(GV||(GV={}));var aU=function(e){function t(t,n){var r;return void 0===n&&(n=GV.FAIL),(r=e.call(this)||this).iterators=t,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},n.nextState=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=function(e){return e instanceof jV?{value:e.next().then((function(e){return n++,e.done&&r++,e.value})),recurse:!1}:{value:null,recurse:!0}},e.next=3,t;case 3:return n=0,r=0,e.next=7,OV(this.iterators,a);case 7:if(i=e.sent,n!==r){e.next=10;break}return e.abrupt("return",{value:null,done:!0});case 10:if(!(r>0)){e.next=16;break}e.t0=this.mismatchMode,e.next=e.t0===GV.FAIL?14:e.t0===GV.SHORTEST?15:(e.t0,GV.LONGEST,16);break;case 14:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case 15:return e.abrupt("return",{value:null,done:!0});case 16:return this.count++,e.abrupt("return",{value:i,done:!1});case 18:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.currentPromise=this.nextState(this.currentPromise),e.abrupt("return",this.currentPromise);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(jV),iU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.bufferSize=n,r.buffer=new zV(n),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Prefetch"},n.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},n.next=function(){return this.refill(),this.buffer.shift()},t}(jV),oU=function(e){function t(t,n,r){var a;return(a=e.call(this,t,n)||this).upstream=t,a.windowSize=n,a.upstreamExhausted=!1,a.random=vC(r||Bw().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.randomInt=function(e){return Math.floor(this.random()*e)},n.chooseIndex=function(){return this.randomInt(this.buffer.length())},n.serialNext=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.upstreamExhausted||this.refill();case 1:if(this.buffer.isEmpty()){e.next=14;break}return t=this.chooseIndex(),e.next=5,this.buffer.shuffleExcise(t);case 5:if(!(n=e.sent).done){e.next=10;break}this.upstreamExhausted=!0,e.next=12;break;case 10:return this.refill(),e.abrupt("return",n);case 12:e.next=1;break;case 14:return e.abrupt("return",{value:null,done:!0});case 15:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(iU),sU=function(){function e(){this.size=null}var t=e.prototype;return t.batch=function(e,t){void 0===t&&(t=!0);var n,r=this;return Hv(e>0,(function(){return"batchSize needs to be positive, but it is\n "+e})),n=this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e),uU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,r.iterator();case 2:return n.abrupt("return",n.sent.columnMajorBatch(e,t,lU));case 3:case"end":return n.stop()}}),n)}))),n)},t.concatenate=function(e){var t,n=this;return t=this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null,uU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.t0=t.sent,t.next=5,e.iterator();case 5:return t.t1=t.sent,t.abrupt("return",t.t0.concatenate.call(t.t0,t.t1));case 7:case"end":return t.stop()}}),t)}))),t)},t.filter=function(e){var t,n=this;return t=this.size===1/0?1/0:null,uU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.filter((function(t){return JN((function(){return e(t)}))})));case 3:case"end":return t.stop()}}),t)}))),t)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.iterator();case 2:return e.abrupt("return",e.sent.forEachAsync(t));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.map=function(e){var t=this;return uU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.map((function(t){return JN((function(){return e(t)}))})));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.mapAsync=function(e){var t=this;return uU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.mapAsync(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.prefetch=function(e){if(null==e)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var t=this;return uU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.prefetch(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.repeat=function(e){var t,n=this;return t=null!=this.size&&e>0?this.size*e:0===e?0:null!=this.size&&(void 0===e||e<0)?1/0:null,uU(Iv(kv().mark((function t(){var r;return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return r=WV(Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,n.iterator();case 2:return e.t0=e.sent,e.abrupt("return",{value:e.t0,done:!1});case 4:case"end":return e.stop()}}),e)})))),t.abrupt("return",VV(r.take(e)));case 2:case"end":return t.stop()}}),t)}))),t)},t.skip=function(e){var t,n=this;return t=null!=this.size&&e>=0&&this.size>=e?this.size-e:null!=this.size&&(this.size<e||void 0===e||e<0)?0:null,uU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.skip(e));case 3:case"end":return t.stop()}}),t)}))),t)},t.shuffle=function(e,t,n){if(void 0===n&&(n=!0),null==e||e<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError("`Dataset.shuffle()` requires bufferSize to be specified. 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e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=jR(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: "+JSON.stringify(e.t0));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: "+e.t1.message);case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])})));return function(){return e.apply(this,arguments)}}(),n.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},n.cropAndResizeFrame=function(e){var t=this;return JN((function(){var n,r=ZS(jN(e,"float32"),0),a=(n=eR.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return DI(n,a.slice(1))}))},n.capture=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.stop=function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0},n.toArray=function(){throw new Error("Can not 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h=0;h<e.length;++h){for(var f=e[h],d=e[h]+1,m=0;m<n.length;++m){var v=n[m],g=m+t.length-1;if(g>=0)for(var y=s[g],b=y[y.length-1]-v[f],x=f;x<d;++x)s[g].push(v[x+1]+b);f=v[f],d=v[d]}d!==f&&(a.push([f,d]),i+=d-f)}return{outSplits:s,valueSlices:a,numValues:i}}function fj(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 dj(e,t,n,r,a){var i=t.slice();i[0]=a;var o=ag(n,Xv(i)),s=e.length;return function(e,t,n,r,a,i){for(var o,s=fj(t,2)[1],u=fj(i,2)[1],l=0,c=Lv(n);!(o=c()).done;)for(var p=o.value,h=p[0];h<p[1];++h){for(var f=0;f<r;++f)a[l*u+f]=e[h*s+f];++l}}(e,t,r,0===s?0:s/t[0],o,i),[o,i]}function mj(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=Sg(r,t.length,vg(t)).join(",");throw new Error("indices["+a+"] = "+e+" is not in [0, 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0;if(g>0&&v<m||g<0&&v>m)y=0;else if((y=Math.ceil(Math.abs((v-m)/g)))>vj)throw new Error("Requires ((limit - start) / delta) <= 2147483647");f[d+1]=f[d]+y}for(var b=ag(n,f[h]),x=0,w=0;w<h;++w)for(var k=f[w+1]-f[w],N=s?e[0]:e[w],I=l?i[0]:i[w],S=0;S<k;++S)b[x++]=N,N+=I;return[f,b]}var yj=l_,bj=function(){function e(e,t,n,r,a,i,o,s,u,l){this.shape=e,this.shapeShape=t,this.values=n,this.valuesShape=r,this.valuesDType=a,this.defaultValue=i,this.defaultValueShape=o,this.rowPartitionValues=s,this.rowPartitionValuesShapes=u,this.rowPartitionTypes=b_(l),this.raggedRank=x_(this.rowPartitionTypes)}var t=e.prototype;return t.getRowPartitionTypeByDimension=function(e){return this.rowPartitionTypes[0]===yj.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]},t.getRowPartitionTensor=function(e){return this.rowPartitionTypes[0]===yj.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]},t.getMaxWidth=function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case yj.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case yj.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type "+yj[this.getRowPartitionTypeByDimension(t-1)])}},e.getMaxWidthRowSplit=function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n},e.getMaxWidthValueRowID=function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)},t.tensorShapeFromTensor=function(e,t,n){if(void 0===n&&(n=!0),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 wj(e,n)},t.calculateOutputSize=function(e){var t=this.valuesShape;w_(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=y_(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r},t.calculateFirstParentOutputIndex=function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return Hv(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a},t.calculateOutputIndexRowSplit=function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),l=t[o];-1===l&&(u=0);for(var c=0;c<u;++c)i.push(l),l+=n;for(var p=0;p<s-u;++p)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i},t.calculateOutputIndexValueRowID=function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId="+s+", which is not less than "+t.length);var u=t[s];i.push(u);for(var l=1;l<a;++l){var c=e[l];if(c===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=c,c>=t.length)throw new Error("Got nextValueRowId="+c+" which is not less than "+t.length);u=t[c]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i},t.calculateOutputIndex=function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case yj.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case yj.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: "+(a.length-1)+" > "+t.length);return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: "+yj[i])}},t.getFirstDimensionSize=function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case yj.FIRST_DIM_SIZE:return e[0];case yj.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first 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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=wj(t,!1),i=ag(this.valuesDType,Xv(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]},t.setOutput=function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=Xv(o=o.slice(e+1)),u=t.length,l=this.defaultValue;if(l.length!==s&&1!==l.length){var c=this.defaultValueShape;JN((function(){var e=DI(l,c),t=JI(e,o);l=t.dataSync()}))}for(var p=0,h=0,f=0,d=0;d<=u;++d){var m=d<u?t[d]:-1;if(m!==f){if(h<f){var v=a.subarray(p*s);xj(i.subarray(h*s),v,(f-h)*s)}if(d>=u){var g=n.length;m=Math.floor(g/s)}if(m>f)if(1===this.defaultValue.length)i.subarray(f*s,m*s).fill(this.defaultValue[0]),f=m;else 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c=wI(i.shape,o,s,1,u,l),p=c.strideDepth,h=c.strideHeight,f=c.strideWidth,d=c.filterDepth,m=c.filterHeight,v=c.filterWidth,g=c.dilationDepth,y=c.dilationHeight,b=c.dilationWidth,x=c.effectiveFilterDepth,w=c.effectiveFilterHeight,k=c.effectiveFilterWidth,N=x-1-c.padInfo.front,I=k-1-c.padInfo.left,S=w-1-c.padInfo.top,T=GN(i.shape,"float32"),C=1/(d*m*v),E=n.bufferSync(a),A=0;A<c.batchSize;++A)for(var R=0;R<c.inChannels;++R)for(var _=0;_<c.inDepth;++_)for(var O=0;O<c.inHeight;++O)for(var F=0;F<c.inWidth;++F){for(var D=_-N,M=O-S,L=F-I,z=0,P=0;P<x;P+=g){var B=(D+P)/p;if(!(B<0||B>=c.outDepth||Math.floor(B)!==B))for(var W=0;W<w;W+=y){var V=(M+W)/h;if(!(V<0||V>=c.outHeight||Math.floor(V)!==V))for(var U=0;U<k;U+=b){var G=(L+U)/f;if(!(G<0||G>=c.outWidth||Math.floor(G)!==G))z+=E.get(A,B,V,G,R)}}}T.set(z*C,A,_,O,F,R)}return n.makeTensorInfo(T.shape,T.dtype,T.values)}};var KH={kernelName:Jg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;PU([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,l=r.pad,c=xI(o.shape,s,u,1,l),p=c.strideHeight,h=c.strideWidth,f=c.filterHeight,d=c.filterWidth,m=c.dilationHeight,v=c.dilationWidth,g=c.effectiveFilterHeight,y=c.effectiveFilterWidth,b=y-1-c.padInfo.left,x=g-1-c.padInfo.top,w=GN(o.shape,"float32"),k=1/(f*d),N=n.data.get(a.dataId).values,I=GN(a.shape,"float32",N),S=0;S<c.batchSize;++S)for(var T=0;T<c.inChannels;++T)for(var C=0;C<c.inHeight;++C)for(var E=0;E<c.inWidth;++E){for(var A=C-x,R=E-b,_=0,O=0;O<g;O+=m){var F=(A+O)/p;if(!(F<0||F>=c.outHeight||Math.floor(F)!==F))for(var D=0;D<y;D+=v){var M=(R+D)/h;if(!(M<0||M>=c.outWidth||Math.floor(M)!==M))_+=I.get(S,F,M,T)}}w.set(_*k,S,C,E,T)}return n.makeTensorInfo(w.shape,w.dtype,w.values)}};var XH={kernelName:jy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;Hv(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Hv(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),PU([a,s,u,i,o],"batchNorm");var l=r.varianceEpsilon;null==l&&(l=.001);for(var c=n.data.get(a.dataId).values,p=n.data.get(s.dataId).values,h=n.data.get(u.dataId).values,f=i?n.data.get(i.dataId).values:new Float32Array([1]),d=o?n.data.get(o.dataId).values:new Float32Array([0]),m=new Float32Array(c.length),v=d.length,g=f.length,y=h.length,b=p.length,x=0,w=0,k=0,N=0,I=0;I<c.length;++I)m[I]=d[x++]+(c[I]-p[w++])*f[k++]/Math.sqrt(h[N++]+l),x>=v&&(x=0),w>=b&&(w=0),k>=g&&(k=0),N>=y&&(N=0);return n.makeTensorInfo(a.shape,a.dtype,m)}};var YH={kernelName:ey,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;PU([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=I_(a.shape,i,s),l=S_(u.length,i.length),c=T_(a.shape,i,s),p=C_(o,i.length),h=E_(c,o,i.length),f=vH({inputs:{x:a},backend:n,attrs:{shape:u}}),d=uj({inputs:{x:f},backend:n,attrs:{perm:l}}),m=vH({inputs:{x:d},backend:n,attrs:{shape:c}}),v=Oj({inputs:{x:m},backend:n,attrs:{begin:p,size:h}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}};var JH={kernelName:ty,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=oG(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}};var ZH={kernelName:ry,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=kS(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},QH=lG(oy,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),$H={kernelName:oy,backendName:"cpu",kernelFunc:QH},eq={kernelName:uy,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new Float32Array(Xv(t.shape)),a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,l=0;l<s.length;l++){var c=s[l],p=u[l];r[l]=Math.hypot(c,p)}return n.makeOutput(r,t.shape,"float32")}};function tq(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.imag,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var nq={kernelName:Zy,backendName:"cpu",kernelFunc:tq};function rq(e){var t=e.inputs,n=e.backend,r=tg(e.attrs.axis,t[0].shape)[0];v_(t.map((function(e){return e.shape})),r);var a=g_(t.map((function(e){return e.shape})),r);if(0===Xv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Xv(e.shape)>0}));if(1===i.length)return KU({inputs:{x:i[0]},backend:n});if("complex64"===i[0].dtype){var o=i.map((function(e){return YU({inputs:{input:e},backend:n})})),s=i.map((function(e){return tq({inputs:{input:e},backend:n})})),u=rq({inputs:o,backend:n,attrs:{axis:r}}),l=rq({inputs:s,backend:n,attrs:{axis:r}}),c=jU({inputs:{real:u,imag:l},backend:n});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),c}var p=i.map((function(e){var t=Xv(e.shape.slice(r));return 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$w(h.outShape,a.dtype),w=vg(a.shape),k=vg(i.shape),N=w[0],I=b?w[1]:w[2],S=b?w[2]:1,T=b?1:w[1],C=x.strides[0],E=b?x.strides[1]:x.strides[2],A=b?x.strides[2]:1,R=b?1:x.strides[1],_=n.data.get(a.dataId).values,O=n.data.get(i.dataId).values,F=x.values,D=0;D<h.batchSize;++D)for(var M=D*N,L=D*C,z=0;z<h.outHeight;++z)for(var P=L+z*E,B=z*h.strideHeight-y,W=0;W<f;++W){var V=B+W*m;if(!(V<0||V>=h.inHeight))for(var U=W*k[0],G=M+V*I,j=0;j<h.outWidth;++j)for(var H=P+j*A,q=j*h.strideWidth-g,K=0;K<d;++K){var X=q+K*v;if(!(X<0||X>=h.inWidth))for(var Y=G+X*S,J=U+K*k[1],Z=0;Z<h.inChannels;++Z){for(var Q=_[Y+Z*T],$=0;$<h.outChannels;++$)F[H+$*R]+=Q*O[J+$];J+=h.outChannels}}}return n.makeTensorInfo(x.shape,x.dtype,F)}var oq={kernelName:cy,backendName:"cpu",kernelFunc:iq};var sq={kernelName:py,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.dataFormat,l=r.dimRoundingMode,c=r.filterShape;PU([a,i],"conv2dBackpropFilter");for(var p=OI(u),h=kI(a.shape,c,o,1,s,l,!1,p),f=h.strideHeight,d=h.strideWidth,m=h.filterHeight,v=h.filterWidth,g="channelsLast"===h.dataFormat,y=new $w(h.filterShape,"float32"),b=h.padInfo.left,x=h.padInfo.top,w=n.data.get(a.dataId).values,k=n.data.get(i.dataId).values,N=new $w(a.shape,a.dtype,w),I=new $w(i.shape,i.dtype,k),S=0;S<m;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),C=Math.min(h.outHeight,(h.inHeight+x-S)/f),E=0;E<v;++E)for(var A=Math.max(0,Math.ceil((b-E)/d)),R=Math.min(h.outWidth,(h.inWidth+b-E)/d),_=0;_<h.inChannels;++_)for(var O=0;O<h.outChannels;++O){for(var F=0,D=0;D<h.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?N.get(D,L,P,_)*I.get(D,M,z,O):N.get(D,_,L,P)*I.get(D,O,M,z)}y.set(F,S,E,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var uq={kernelName:hy,backendName:"cpu",kernelFunc:function(e){var 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ae=W*j+V*te+U*re,ie=b*(N-1-ne)+x*(I-1-(re*O-Z))+w*H,oe=0;oe<E;++oe){ee+=g[ae+G*oe]*y[ie+oe]}v[L*j+z*q+P*J+B*H]=ee}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var lq={kernelName:fy,backendName:"cpu",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;PU([a,i],"conv3d");for(var l=NI(a.shape,i.shape,o,u,s),c=l.filterDepth,p=l.filterHeight,h=l.filterWidth,f=l.dilationDepth,d=l.dilationHeight,m=l.dilationWidth,v=l.padInfo,g=v.front,y=v.left,b=v.top,x=new $w(l.outShape,a.dtype),w=n.data.get(a.dataId).values,k=n.data.get(i.dataId).values,N=x.values,I=vg(a.shape),S=vg(i.shape),T=0;T<l.batchSize;++T)for(var C=T*I[0],E=T*x.strides[0],A=0;A<l.outDepth;++A)for(var R=E+A*x.strides[1],_=A*l.strideDepth-g,O=0;O<c;++O){var F=_+O*f;if(!(F<0||F>=l.inDepth))for(var D=O*S[0],M=C+F*I[1],L=0;L<l.outHeight;++L)for(var z=R+L*x.strides[2],P=L*l.strideHeight-b,B=0;B<p;++B){var W=P+B*d;if(!(W<0||W>=l.inHeight))for(var V=D+B*S[1],U=M+W*I[2],G=0;G<l.outWidth;++G)for(var j=z+G*l.outChannels,H=G*l.strideWidth-y,q=0;q<h;++q){var K=H+q*m;if(!(K<0||K>=l.inWidth))for(var X=V+q*S[2],Y=U+K*l.inChannels,J=X,Z=0;Z<l.inChannels;++Z){for(var Q=w[Y+Z],$=0;$<l.outChannels;++$)N[j+$]+=Q*k[J+$];J+=l.outChannels}}}}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var cq={kernelName:dy,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;PU([a,i],"conv3dBackpropFilterV2");for(var l=vg(a.shape),c=vg(i.shape),p=NI(a.shape,u,o,1,s),h=p.strideDepth,f=p.strideHeight,d=p.strideWidth,m=p.filterDepth,v=p.filterHeight,g=p.filterWidth,y=new $w(p.filterShape,"float32"),b=y.values,x=y.strides,w=x[0],k=x[1],N=x[2],I=x[3],S=n.data.get(i.dataId).values,T=c[0],C=c[1],E=c[2],A=c[3],R=n.data.get(a.dataId).values,_=l[0],O=l[1],F=l[2],D=l[3],M=p.padInfo.front,L=p.padInfo.left,z=p.padInfo.top,P=0;P<m;++P)for(var B=Math.max(0,Math.ceil((M-P)/h)),W=Math.min(p.outDepth,(p.inDepth+M-P)/h),V=P*w,U=0;U<v;++U)for(var G=Math.max(0,Math.ceil((z-U)/f)),j=Math.min(p.outHeight,(p.inHeight+z-U)/f),H=U*k+V,q=0;q<g;++q)for(var K=Math.max(0,Math.ceil((L-q)/d)),X=Math.min(p.outWidth,(p.inWidth+L-q)/d),Y=q*N+H,J=0;J<p.inChannels;++J)for(var Z=J*I+Y,Q=0;Q<p.outChannels;++Q){for(var $=0,ee=0;ee<p.batchSize;++ee)for(var te=ee*_,ne=ee*T,re=B;re<W;++re)for(var ae=(P+re*h-M)*O+te,ie=re*C+ne,oe=G;oe<j;++oe)for(var se=(U+oe*f-z)*F+ae,ue=oe*E+ie,le=K;le<X;++le){var ce=le*A+ue;$+=R[(q+le*d-L)*D+se+J]*S[ce+Q]}b[Z+Q]=$}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var pq={kernelName:my,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;PU([a],"conv3dBackpropInputV2");for(var l=vg(a.shape),c=vg(i.shape),p=NI(u,i.shape,s,1,o),h=new 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n.makeTensorInfo(h.shape,h.dtype,h.values)}},hq=lG(vy,(function(e){return Math.cos(e)})),fq={kernelName:vy,backendName:"cpu",kernelFunc:hq},dq=lG(gy,(function(e){return Math.cosh(e)})),mq={kernelName:gy,backendName:"cpu",kernelFunc:dq};var vq={kernelName:xy,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,l=r.extrapolationValue,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=i.shape[0],v=s[0],g=s[1],y=GN([m,v,g,d],"float32"),b=n.data.get(i.dataId).values,x=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,k=vg(a.shape),N=vg(y.shape),I=0;I<m;I++){var S=4*I,T=b[S],C=b[S+1],E=b[S+2],A=b[S+3],R=x[I];if(!(R>=p))for(var _=v>1?(E-T)*(h-1)/(v-1):0,O=g>1?(A-C)*(f-1)/(g-1):0,F=0;F<v;F++){var D=v>1?T*(h-1)+F*_:.5*(T+E)*(h-1);if(D<0||D>h-1)for(var M=0;M<g;M++)for(var L=0;L<d;L++){var z=L+M*N[2]+F*N[1]+I*N[0];y.values[z]=l}else if("bilinear"===u)for(var P=Math.floor(D),B=Math.ceil(D),W=D-P,V=0;V<g;V++){var U=g>1?C*(f-1)+V*O:.5*(C+A)*(f-1);if(U<0||U>f-1)for(var G=0;G<d;G++){var j=G+V*N[2]+F*N[1]+I*N[0];y.values[j]=l}else for(var H=Math.floor(U),q=Math.ceil(U),K=U-H,X=0;X<d;X++){var Y=X+H*k[2]+P*k[1]+R*k[0],J=w[Y],Z=w[Y=X+q*k[2]+P*k[1]+R*k[0]],Q=w[Y=X+H*k[2]+B*k[1]+R*k[0]],$=J+(Z-J)*K,ee=Q+(w[Y=X+q*k[2]+B*k[1]+R*k[0]]-Q)*K;Y=X+V*N[2]+F*N[1]+I*N[0],y.values[Y]=$+(ee-$)*W}}else for(var te=0;te<g;++te){var ne=g>1?C*(f-1)+te*O:.5*(C+A)*(f-1);if(ne<0||ne>f-1)for(var re=0;re<d;re++){var ae=re+te*N[2]+F*N[1]+I*N[0];y.values[ae]=l}else for(var ie=Math.round(ne),oe=Math.round(D),se=0;se<d;se++){var ue=se+ie*k[2]+oe*k[1]+R*k[0],le=se+te*N[2]+F*N[1]+I*N[0];y.values[le]=w[ue]}}}}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var gq={kernelName:yy,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;PU(a,"cumprod");var u=zS([i],a.shape.length),l=a;null!=u&&(l=uj({inputs:{x:a},backend:n,attrs:{perm:u}}));var c=BS(1,a.shape.length)[0];if(c!==l.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most axis="+(l.shape.length-1)+" but got axis="+c);for(var p=pk(l.dtype,"int32"),h=xg(Xv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?1:f[y];else{var b=m(v,g-1);h[y]=o?f[b]*h[b]:f[y]*h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=uj({inputs:{x:x},backend:n,attrs:{perm:PS(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var yq={kernelName:by,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;PU(a,"cumsum");var u=zS([i],a.shape.length),l=a;null!=u&&(l=uj({inputs:{x:a},backend:n,attrs:{perm:u}}));var c=BS(1,a.shape.length)[0];if(c!==l.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(l.shape.length-1)+" but got axis="+c);for(var p=pk(l.dtype,"int32"),h=wg(Xv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?0:f[y];else{var b=m(v,g-1);h[y]=o?f[b]+h[b]:f[y]+h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=uj({inputs:{x:x},backend:n,attrs:{perm:PS(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var bq={kernelName:wy,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=oG(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 l=sG(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(l.shape,i.dtype,l.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}};var xq={kernelName:ky,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Hv("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+o}));for(var s=a.shape[0],u=a.shape[1],l=a.shape[2],c=a.shape[3],p=u*i,h=l*i,f=c/(i*i),d=n.data.get(a.dataId).values,m=new Float32Array(s*p*h*f),v=0,g=0;g<s;++g)for(var y=0;y<p;++y)for(var b=Math.floor(y/i),x=y%i,w=0;w<h;++w)for(var k=Math.floor(w/i),N=(x*i+w%i)*f,I=0;I<f;++I){var S=I+N+c*(k+l*(b+u*g));m[v++]=d[S]}return n.makeTensorInfo([s,p,h,f],a.dtype,m)}};function wq(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,l=r.dimRoundingMode;PU([a,i],"depthwiseConv2DNative");var c=vg(a.shape),p=vg(i.shape),h=u;null==h&&(h=[1,1]),Hv(RI(o,h),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+h+"'"}));for(var f=kI(a.shape,i.shape,o,h,s,l,!0),d=f.filterHeight,m=f.filterWidth,v=f.dilationHeight,g=f.dilationWidth,y=f.padInfo,b=y.left,x=y.top,w=f.outChannels/f.inChannels,k=new $w(f.outShape,a.dtype),N=n.data.get(a.dataId).values,I=n.data.get(i.dataId).values,S=k.values,T=0;T<f.batchSize;++T)for(var C=T*c[0],E=T*k.strides[0],A=0;A<f.outHeight;++A)for(var R=E+A*k.strides[1],_=A*f.strideHeight-x,O=0;O<d;++O){var F=_+O*v;if(!(F<0||F>=f.inHeight))for(var D=O*p[0],M=C+F*c[1],L=0;L<f.outWidth;++L)for(var z=R+L*k.strides[2],P=L*f.strideWidth-b,B=0;B<m;++B){var W=P+B*g;if(!(W<0||W>=f.inWidth))for(var V=D+B*p[1],U=M+W*f.inChannels,G=z,j=V,H=0;H<f.inChannels;++H){for(var q=N[U+H],K=0;K<w;++K)S[G+K]+=q*I[j+K];G+=w,j+=w}}}return n.makeTensorInfo(k.shape,k.dtype,k.values)}var kq={kernelName:Ny,backendName:"cpu",kernelFunc:wq};var Nq={kernelName:Iy,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.dilations,u=r.pad,l=r.dimRoundingMode,c=r.filterShape;PU([a,i],"depthwiseConv2dNativeBackpropFilter");for(var p=kI(a.shape,c,o,s,u,l,!0),h=p.strideHeight,f=p.strideWidth,d=p.filterHeight,m=p.filterWidth,v=new $w(p.filterShape,"float32"),g=p.padInfo.left,y=p.padInfo.top,b=p.outChannels/p.inChannels,x=n.data.get(a.dataId).values,w=new $w(a.shape,a.dtype,x),k=n.data.get(i.dataId).values,N=new $w(i.shape,i.dtype,k),I=0;I<d;++I)for(var S=Math.max(0,Math.ceil((y-I)/h)),T=Math.min(p.outHeight,(p.inHeight+y-I)/h),C=0;C<m;++C)for(var E=Math.max(0,Math.ceil((g-C)/f)),A=Math.min(p.outWidth,(p.inWidth+g-C)/f),R=0;R<p.outChannels;++R){for(var _=Math.trunc(R/b),O=R%b,F=0,D=0;D<p.batchSize;++D)for(var M=S;M<T;++M)for(var L=I+M*h-y,z=E;z<A;++z){var P=C+z*f-g;F+=w.get(D,L,P,_)*N.get(D,M,z,R)}v.set(F,I,C,_,O)}return n.makeTensorInfo(v.shape,v.dtype,v.values)}};var Iq={kernelName:Sy,backendName:"cpu",kernelFunc:function(e){var 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Zq={kernelName:Gx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dataFormat,p=r.dilations,h=r.dimRoundingMode,f=r.activation,d=r.leakyreluAlpha,m=wq({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:h}});if(o){var v=m;m=aG({inputs:{a:m,b:o},backend:n}),n.disposeIntermediateTensorInfo(v)}if(f){var g=m;m=mH(n,m,f,s,d),n.disposeIntermediateTensorInfo(g)}return m}};var Qq={kernelName:qy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=Xv(r.shape),o=a.shape,s=o[o.length-1],u=qR(r,a),l=u[0],c=u[1],p=u[2],h=u[3];if(0===c)return n.makeTensorInfo(l,r.dtype,[]);var f=CG(n.data.get(a.dataId).values,n.bufferSync(r),r.dtype,c,s,p,h,r.shape,i);return n.makeTensorInfo(l,r.dtype,f.values)}};var $q={kernelName:Hy,backendName:"cpu",kernelFunc:function(e){var 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p=Xv(o.shape),h=o.shape[3],f=n.data.get(o.dataId).values,d=n.data.get(a.dataId).values,m=n.data.get(i.dataId).values,v=new Float32Array(p),g=p,y=0;y<g;y++){for(var b=y%h,x=y-b+Math.max(0,b-s),w=y-b+Math.min(h,b+s+1),k=0,N=x;N<w;N++)k+=Math.pow(d[N],2);k=l*k+u;for(var I=x;I<w;I++){var S=-2*l*c*d[I]*m[y]/k;y===I&&(S+=Math.pow(k,-c)),S*=f[y],v[I]+=S}}return n.makeTensorInfo(o.shape,a.dtype,v)}};function xK(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=n,u=a.shape,l=u.length,c=tg(i,u),p=c,h=zS(p,l),f=s.data.get(a.dataId).values;if(null!=h){for(var d=new Array(l),m=0;m<d.length;m++)d[m]=u[h[m]];f=sj(f,u,a.dtype,h,d),p=BS(p.length,l),u=d}PU(a,"max"),LS("max",p,l);var v=DS(u,p),g=v[0],y=HG(f,Xv(v[1]),g,a.dtype),b=s.write(y,g,a.dtype),x=g;o&&(x=d=MS(g,c));return{dataId:b,shape:x,dtype:a.dtype}}var wK={kernelName:fb,backendName:"cpu",kernelFunc:xK};var kK={kernelName:mb,backendName:"cpu",kernelFunc:function(e){var 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n=GN(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m=0;m<t.batchSize;++m)for(var v=0;v<t.inChannels;++v)for(var g=0;g<t.outDepth;++g){for(var y=g*r-h,b=y;b<0;)b+=o;for(var x=Math.min(t.inDepth,l+y),w=0;w<t.outHeight;++w){for(var k=w*a-f,N=k;N<0;)N+=s;for(var I=Math.min(t.inHeight,c+k),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,p+T),A=Number.NEGATIVE_INFINITY,R=-1,_=b;_<x;_+=o)for(var O=_-y,F=N;F<I;F+=s)for(var D=F-k,M=C;M<E;M+=u){var L=M-T,z=e.get(m,_,F,M,v);z>=A&&(A=z,R=O*c*p+D*c+L)}n.set(R,m,g,w,S,v)}}}return n}(n.bufferSync(i),c),h=c.strideDepth,f=c.strideHeight,d=c.strideWidth,m=c.dilationDepth,v=c.dilationHeight,g=c.dilationWidth,y=c.effectiveFilterDepth,b=c.effectiveFilterHeight,x=c.effectiveFilterWidth,w=y-1-c.padInfo.front,k=x-1-c.padInfo.left,N=b-1-c.padInfo.top,I=GN(i.shape,"float32"),S=n.bufferSync(a),T=0;T<c.batchSize;++T)for(var C=0;C<c.inChannels;++C)for(var E=0;E<c.inDepth;++E)for(var A=0;A<c.inHeight;++A)for(var R=0;R<c.inWidth;++R){for(var _=E-w,O=A-N,F=R-k,D=0,M=0;M<y;M+=m){var L=(_+M)/h;if(!(L<0||L>=c.outDepth||Math.floor(L)!==L))for(var z=0;z<b;z+=v){var P=(O+z)/f;if(!(P<0||P>=c.outHeight||Math.floor(P)!==P))for(var B=0;B<x;B+=g){var W=(F+B)/d;if(!(W<0||W>=c.outWidth||Math.floor(W)!==W)){var V=y*b*x-1-p.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}}}}I.set(D,T,E,A,R,C)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}};var SK={kernelName:vb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;PU([i,t.output],"maxPoolGrad");for(var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=xI(o.shape,s,u,1,l,c),h=n.data.get(o.dataId).values,f=GN(p.outShape,o.dtype,UH(h,o.shape,o.dtype,p).values),d=p.strideHeight,m=p.strideWidth,v=p.dilationHeight,g=p.dilationWidth,y=p.effectiveFilterHeight,b=p.effectiveFilterWidth,x=b-1-p.padInfo.left,w=y-1-p.padInfo.top,k=GN(o.shape,"float32"),N=n.data.get(a.dataId).values,I=GN(a.shape,"float32",N),S=0;S<p.batchSize;++S)for(var T=0;T<p.inChannels;++T)for(var C=0;C<p.inHeight;++C)for(var E=0;E<p.inWidth;++E){for(var A=C-w,R=E-x,_=0,O=0;O<y;O+=v){var F=(A+O)/d;if(!(F<0||F>=p.outHeight||Math.floor(F)!==F))for(var D=0;D<b;D+=g){var M=(R+D)/m;if(!(M<0||M>=p.outWidth||Math.floor(M)!==M)){var L=y*b-1-f.get(S,F,M,T)===O*b+D?1:0;if(0!==L)_+=I.get(S,F,M,T)*L}}}k.set(_,S,C,E,T)}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var TK={kernelName:bb,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,l=r;PU(a,"MaxPoolWithArgmax");var c=l.data.get(a.dataId).values,p=xI(a.shape,i,o,[1,1],s),h=function(e,t,n,r,a){var i=VH(e,0,n,vg(t),a,"max"),o=UH(e,t,n,a,!0,r);return[i.values,o.values]}(c,a.shape,a.dtype,u,p),f=h[0],d=h[1],m=l.write(f,p.outShape,a.dtype),v=l.write(d,p.outShape,a.dtype);return[{dataId:m,shape:p.outShape,dtype:a.dtype},{dataId:v,shape:p.outShape,dtype:"int32"}]}};var CK={kernelName:xb,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=tg(i,a.shape),u=Xv(DS(a.shape,s)[1]),l=[],c=n.makeTensorInfo([],"float32",new Float32Array([u]));l.push(c);var p=QU({inputs:{x:a},backend:n,attrs:{dtype:"float32"}});l.push(p);var h=Pq({inputs:{a:p,b:c},backend:n});l.push(h);var f=Aq({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:o}});return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),f}};var EK={kernelName:wb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;PU(a,"min");var s=tg(i,a.shape),u=s,l=zS(u,a.shape.length),c=a;null!=l&&(c=uj({inputs:{x:a},backend:n,attrs:{perm:l}}),u=BS(u.length,a.shape.length)),LS("min",u,c.shape.length);for(var p=DS(c.shape,u),h=p[0],f=Xv(p[1]),d=wg(Xv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];(Number.isNaN(x)||x<y)&&(y=x)}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=vH({inputs:{x:w},backend:n,attrs:{shape:MS(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var AK={kernelName:Nb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode;PU(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]})),l=i.map((function(e,t){return e[0]+a.shape[t]})),c="reflect"===o?0:1,p=n.data.get(a.dataId).values,h=a.shape.length,f=vg(a.shape),d=Xv(s),m=s.length,v=vg(s),g=rg(a.dtype,d),y=0;y<d;y++){for(var b=Sg(y,m,v),x=0;x<m;x++)b[x]<u[x]?b[x]=2*u[x]-b[x]-c:b[x]>=l[x]&&(b[x]=2*(l[x]-1)-b[x]+c);b=b.map((function(e,t){return e-u[t]}));var w=Ig(b,h,f);g[y]=p[w]}return{dataId:n.write(g,s,a.dtype),shape:s,dtype:a.dtype}}},RK=GU((function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})),_K=eG(Ib,RK),OK={kernelName:Ib,backendName:"cpu",kernelFunc:_K};function FK(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. Logits was rank "+o+" and dim was "+s);var u=tg([s],a.shape),l=xK({inputs:{x:a},backend:n,attrs:{reductionIndices:u,keepDims:!1}}),c=MS(l.shape,u),p=vH({inputs:{x:l},backend:n,attrs:{shape:c}}),h=Zj({inputs:{a:a,b:p},backend:n}),f=bG({inputs:{x:h},backend:n}),d=Aq({inputs:{x:f},backend:n,attrs:{axis:u,keepDims:!1}}),m=vH({inputs:{x:d},backend:n,attrs:{shape:c}}),v=Pq({inputs:{a:f,b:m},backend:n});return n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}var DK={kernelName:mx,backendName:"cpu",kernelFunc:FK};var MK={kernelName:Sb,backendName:"cpu",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;PU(a,"multinomial");for(var u=s?a:FK({inputs:{logits:a},backend:n,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=n.data.get(u.dataId).values,h=[l,i],f=wg(Xv(h),"int32"),d=0;d<l;++d){var m=d*c,v=new Float32Array(c-1);v[0]=p[m];for(var g=1;g<v.length;++g)v[g]=v[g-1]+p[m+g];for(var y=vC(o.toString()),b=d*i,x=0;x<i;++x){var w=y();f[b+x]=v.length;for(var k=0;k<v.length;k++)if(w<v[k]){f[b+x]=k;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(h,"int32",f)}},LK=hA;var zK={kernelName:Ab,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;PU(a,"NonMaxSuppression");var l=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,p=LK(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},PK=fA;var BK={kernelName:Rb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.padToMaxOutputSize;PU(a,"NonMaxSuppressionPadded");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=PK(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},WK=dA;var VK={kernelName:_b,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma;PU(a,"NonMaxSuppressionWithScore");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=WK(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var UK={kernelName:Fb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;PU(a,"oneHot");var l=Xv(a.shape),c=new Float32Array(l*o);c.fill(u);for(var p=n.data.get(a.dataId).values,h=0;h<l;++h)p[h]>=0&&p[h]<o&&(c[h*o+p[h]]=s);return n.makeTensorInfo([].concat(a.shape,[o]),i,c)}};function GK(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=YU({inputs:{input:r},backend:n}),i=GK({inputs:{x:a},backend:n}),o=tq({inputs:{input:r},backend:n}),s=GK({inputs:{x:o},backend:n}),u=jU({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return jq({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var jK={kernelName:zx,backendName:"cpu",kernelFunc:GK};var HK={kernelName:Ob,backendName:"cpu",kernelFunc:function e(t){var 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c=XK.kernelFunc({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),p=I_(c.shape,i,s,!1),h=S_(p.length,i.length,!1),f=T_(c.shape,i,s,!1),d=vH({inputs:{x:c},backend:n,attrs:{shape:p}}),m=uj({inputs:{x:d},backend:n,attrs:{perm:h}}),v=vH({inputs:{x:m},backend:n,attrs:{shape:f}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}};var AX={kernelName:vx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.indices,a=t.values,i=t.denseShape,o=t.defaultValue;if(1!==i.shape.length)throw new Error("Dense shape must be a vector, saw:\n "+i.shape);if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n "+r.shape);if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n "+a.shape);if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n "+o.shape);var s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,c=n.data.get(o.dataId).values[0],p=Dj(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var RX={kernelName:gx,backendName:"cpu",kernelFunc:function(e){var 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\n "+r.shape);if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape\n "+a.shape);if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape "+i.shape);var o=Array.from(n.data.get(a.dataId).values),s=n.data.get(r.dataId).values,u=Array.from(n.data.get(i.dataId).values),l=Mj(s,r.shape,r.dtype,o,u),c=l[0],p=l[1],h=l[2];return[n.makeTensorInfo(p,r.dtype,c),n.makeTensorInfo([h.length],i.dtype,new Int32Array(h))]}};var _X={kernelName:yx,backendName:"cpu",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 "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=Lj(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var OX={kernelName:bx,backendName:"cpu",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 "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=Lj(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var FX={kernelName:xx,backendName:"cpu",kernelFunc:function(e){var 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2===Og().getNumber("WEBGL_VERSION")?(e="#version 300 es",t="in",n="out",r="in",a="texture",i="outputColor",o="out vec4 outputColor;",s=Og().getBool("WEBGL2_ISNAN_CUSTOM")?"\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n ":"",u="",l="\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n "):(e="",t="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",o="",s="\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n ",u="\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n ",l="\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n "),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:l}}function WY(e,t,n){void 0===n&&(n="index");var r=vg(t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / "+t+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+t:"index -= "+e[a]+" * "+t)+";"})).join("")}function VY(e,t,n){void 0===n&&(n="index");var r=vg(t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / outShapeStrides["+a+"]"+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * outShapeStrides["+a+"]":"index -= "+e[a]+" * 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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("+r[0]+", "+r[1]+"));\n int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n int b = index / "+i+";\n index -= b * "+i+";\n\n int r = 2 * (index / "+a+");\n int c = imod(index, "+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",l=2;l<e.length-1;l++)s="\n int b"+l+" = index / "+(o*=e[e.length-l-1])+";\n index -= b"+l+" * "+o+";\n "+s,u="b"+l+", "+u;return"\n ivec"+e.length+" getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+r[0]+", "+r[1]+"));\n int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n "+s+"\n\n int b = index / "+i+";\n index -= b * "+i+";\n\n int r = 2 * (index / "+a+");\n int c = imod(index, "+a+") * 2;\n\n return ivec"+e.length+"("+u+");\n }\n "}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n void setOutput(vec4 val) {\n "+e.output+" = val;\n }\n "}(l)):(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 * "+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 * "+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("+t[0]+", "+t[1]+"));\n return resTexRC.x * "+t[1]+" + resTexRC.y;\n }\n "}(0,t,n);case 2:return function(e,t,n){if(Yv(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("+t[0]+", "+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("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+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("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+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("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n int r = index / "+e[1]+";\n int c = index - r * "+e[1]+";\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 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n "+VY(["r","c","d"],e)+"\n return ivec3(r, c, d);\n }\n"}var r=WY(["r","c","d"],e);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n "+r+"\n return ivec3(r, c, d);\n }\n "}(e,t,n);case 4:return function(e,t,n){if(n){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 "+VY(["r","c","d","d2"],e)+"\n return ivec4(r, c, d, d2);\n }\n "}var r=WY(["r","c","d","d2"],e);return"\n ivec4 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n "+r+"\n return ivec4(r, c, d, d2);\n }\n "}(e,t,n);case 5:return r=t,a=WY(["r","c","d","d2","d3"],e),"\n ivec5 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2("+r[0]+",\n "+r[1]+"));\n\n int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n "+a+"\n\n ivec5 outShape = ivec5(r, c, d, d2, d3);\n return outShape;\n }\n ";case 6:return function(e,t){var n=WY(["r","c","d","d2","d3","d4"],e);return"\n ivec6 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n "+n+"\n\n ivec6 result = ivec6(r, c, d, d2, d3, d4);\n return result;\n }\n "}(e,t);default:throw new Error(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 "+e.output+" = vec4(val, 0, 0, 0);\n }\n "}(l)),n.packedInputs&&(p+=QY),[p,c,i,o,a,s,n.userCode].join("\n")}function KY(e,t){void 0===t&&(t=!1);var n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float "+r+"() {return "+n+";}";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===i&&1===o)return"\n float "+r+"() {\n return sampleTexture("+n+", halfCR);\n }\n ";var s=$Y(n);if(t)return"\n float "+r+"() {\n vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], "+s+");\n return sampleTexture("+n+", uv);\n }\n ";var u=e.shapeInfo.texShape,l=u[0],c=u[1];return"\n float "+r+"() {\n vec2 uv = uvFromFlat("+l+", "+c+", "+s+");\n return sampleTexture("+n+", uv);\n }\n "}(e,t);case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n float "+r+"(int index) {\n "+eJ(e)+"\n }\n ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n float "+r+"(int index) {\n return sampleTexture("+n+", halfCR);\n }\n ";var s=$Y(n);if(1===o)return t?"\n float "+r+"(int index) {\n vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / float("+n+"TexShape[0]));\n return sampleTexture("+n+", uv);\n }\n ":"\n float "+r+"(int index) {\n vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / "+i+".0);\n return sampleTexture("+n+", uv);\n }\n ";if(1===i)return t?"\n float "+r+"(int index) {\n vec2 uv = vec2((float(index + "+s+") + 0.5) / float("+n+"TexShape[1]), 0.5);\n return sampleTexture("+n+", uv);\n }\n ":"\n float "+r+"(int index) {\n vec2 uv = vec2((float(index + "+s+") + 0.5) / "+o+".0, 0.5);\n return sampleTexture("+n+", uv);\n }\n ";if(t)return"\n float "+r+"(int index) {\n vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], index + "+s+");\n return sampleTexture("+n+", uv);\n }\n ";return"\n float "+r+"(int index) {\n vec2 uv = uvFromFlat("+i+", "+o+", index + "+s+");\n return sampleTexture("+n+", uv);\n }\n "}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&Yv(n,i)){if(t)return"\n float "+a+"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n return sampleTexture("+r+", uv);\n }\n ";var o=i[0];return"\n float "+a+"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n return sampleTexture("+r+", uv);\n }\n "}var s=ng(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col"];return"\n "+KY(rJ(e,c),t)+"\n float "+a+"(int row, int col) {\n return "+a+"("+aJ(p,l)+");\n }\n "}if(e.shapeInfo.isUniform)return"\n float "+a+"(int row, int col) {\n int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n "+eJ(e)+"\n }\n ";var h=i[0],f=i[1],d=$Y(r);if(1===f)return t?"\n float "+a+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / float("+r+"TexShape[0]));\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+a+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / "+h+".0);\n return sampleTexture("+r+", uv);\n }\n ";if(1===h)return t?"\n float "+a+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n vec2 uv = vec2((index + 0.5) / float("+r+"TexShape[1]), 0.5);\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+a+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n return sampleTexture("+r+", uv);\n }\n ";if(t)return"\n float "+a+"(int row, int col) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * "+r+"Shape[1] + col + "+d+";\n vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n return sampleTexture("+r+", uv);\n }\n ";return"\n float "+a+"(int row, int col) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * "+n[1]+" + col + "+d+";\n vec2 uv = uvFromFlat("+h+", "+f+", index);\n return sampleTexture("+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=n[1]*n[2],o=n[2],s=ng(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col","depth"];return"\n "+KY(rJ(e,c),t)+"\n float "+a+"(int row, int col, int depth) {\n return "+a+"("+aJ(p,l)+");\n }\n "}if(e.shapeInfo.isUniform)return"\n float "+a+"(int row, int col, int depth) {\n int index = round(dot(vec3(row, col, depth),\n vec3("+i+", "+o+", 1)));\n "+eJ(e)+"\n }\n ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===i&&null==m)return t?"\n float "+a+"(int row, int col, int depth) {\n int stride1 = "+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("+r+"TexShape[1], "+r+"TexShape[0]);\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+a+"(int row, int col, int depth) {\n float texR = float(row);\n float texC = dot(vec2(col, depth), vec2("+o+", 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+d+".0, "+f+".0);\n return sampleTexture("+r+", uv);\n }\n ";if(d===o&&null==m)return t?"\n float "+a+"(int row, int col, int depth) {\n float texR = dot(vec2(row, col), vec2("+r+"Shape[1], 1));\n float texC = float(depth);\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+a+"(int row, int col, int depth) {\n float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n float texC = float(depth);\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n return sampleTexture("+r+", uv);\n }\n ";var v=$Y(r);if(t)return"\n float "+a+"(int row, int col, int depth) {\n // Explicitly use integer operations as dot() only works on floats.\n int stride0 = "+r+"Shape[1] * "+r+"Shape[2];\n int stride1 = "+r+"Shape[2];\n int index = row * stride0 + col * stride1 + depth + "+v+";\n vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n return sampleTexture("+r+", uv);\n }\n ";return"\n float "+a+"(int row, int col, int depth) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * "+i+" + col * "+o+" + depth + "+v+";\n vec2 uv = uvFromFlat("+f+", "+d+", index);\n return sampleTexture("+r+", uv);\n }\n "}(e,t);case 4:return function(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=ng(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=["row","col","depth","depth2"];return"\n "+KY(rJ(e,l),t)+"\n float "+a+"(int row, int col, int depth, int depth2) {\n return "+a+"("+aJ(p,c)+");\n }\n "}if(e.shapeInfo.isUniform)return"\n float "+a+"(int row, int col, int depth, int depth2) {\n int index = round(dot(vec4(row, col, depth, depth2),\n vec4("+s+", "+o+", "+i+", 1)));\n "+eJ(e)+"\n }\n ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1],v="int stride2 = "+r+"Shape[3];",g="int stride1 = "+r+"Shape[2] * stride2;",y="int stride0 = "+r+"Shape[1] * stride1;";if(m===s&&null==h)return t?"\n float "+a+"(int row, int col, int depth, int depth2) {\n "+v+"\n "+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("+r+"TexShape[1], "+r+"TexShape[0]);\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+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("+o+", "+i+", 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+m+".0, "+d+".0);\n return sampleTexture("+r+", uv);\n }\n ";if(m===i&&null==h)return t?"\n float "+a+"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3("+r+"Shape[1] * "+r+"Shape[2], "+r+"Shape[2], 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n return sampleTexture("+r+", uv);\n }\n ":"\n float "+a+"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3("+n[1]*n[2]+", "+n[2]+", 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+m+".0, "+d+".0);\n return sampleTexture("+r+", uv);\n }\n ";var b=$Y(r);if(t)return"\n float "+a+"(int row, int col, int depth, int depth2) {\n // Explicitly use integer operations as dot() only works on floats.\n "+v+"\n "+g+"\n "+y+"\n int index = row * stride0 + col * stride1 +\n depth * stride2 + depth2;\n vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index + "+b+");\n return sampleTexture("+r+", uv);\n }\n ";return"\n float "+a+"(int row, int col, int depth, int depth2) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * "+s+" + col * "+o+" +\n depth * "+i+" + depth2;\n vec2 uv = uvFromFlat("+d+", "+m+", index + "+b+");\n return sampleTexture("+r+", uv);\n }\n "}(e,t);case 5:return function(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=ng(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=["row","col","depth","depth2","depth3"];return"\n "+KY(rJ(e,l))+"\n float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n return "+r+"("+aJ(p,c)+");\n }\n "}if(e.shapeInfo.isUniform)return"\n float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n float index = dot(\n vec4(row, col, depth, depth2),\n vec4("+s+", "+o+", "+i+", "+a+")) +\n depth3;\n "+eJ(e)+"\n }\n ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n float "+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("+o+", "+i+", "+a+", 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+m+".0, "+d+".0);\n return sampleTexture("+n+", uv);\n }\n ";if(m===a&&null==h)return"\n float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n float texR = dot(\n vec4(row, col, depth, depth2),\n vec4("+t[1]*t[2]*t[3]+",\n "+t[2]*t[3]+", "+t[3]+", 1));\n int texC = depth3;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+m+".0, "+d+".0);\n return sampleTexture("+n+", uv);\n }\n ";var v=$Y(n);return"\n float "+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 * "+s+" + col * "+o+" + depth * "+i+" +\n depth2 * "+a+" + depth3 + "+v+";\n vec2 uv = uvFromFlat("+d+", "+m+", index);\n return sampleTexture("+n+", uv);\n }\n "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=ng(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=["row","col","depth","depth2","depth3","depth4"];return"\n "+KY(rJ(e,i))+"\n float "+r+"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n return "+r+"("+aJ(s,o)+");\n }\n "}var u=t[5],l=t[4]*u,c=t[3]*l,p=t[2]*c,h=t[1]*p;if(e.shapeInfo.isUniform)return"\n float "+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("+h+", "+p+", "+c+", 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l=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],c=Math.ceil(n[1]/2);return"\n vec4 "+a+"(int row, int col) {\n vec2 uv = packedUVfrom2D("+c+", "+l[0]+", "+l[1]+", row, col);\n return "+u.texture2D+"("+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=["b","row","col"];return"\n "+XY(rJ(e,n.slice(1)),t)+"\n vec4 "+a+"(int b, int row, int col) {\n return "+a+"("+aJ(u,s)+");\n }\n "}var l=BY();if(t)return"\n vec4 "+a+"(int b, int row, int col) {\n ivec2 packedTexShape = ivec2(ceil(float("+r+"TexShape[0]) / 2.0), ceil(float("+r+"TexShape[1]) / 2.0));\n int valuesPerRow = int(ceil(float("+r+"Shape[2]) / 2.0));\n int texelsInBatch = valuesPerRow * int(ceil(float("+r+"Shape[1]) / 2.0));\n vec2 uv = packedUVfrom3D(\n packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n return "+l.texture2D+"("+r+", 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$Y(e){return"offset"+e}function eJ(e){var t=e.name,n=Xv(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n for (int i = 0; i < "+n+"; i++) {\n if (i == index) {\n return "+t+"[i];\n }\n }\n "}function tJ(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function nJ(e,t,n){var r=ng(t),a=r.newShape,i=r.keptDims,o=t.length,s=e&&3===o&&1===t[0],u=s?t.slice(1):a,l=!e&&o>1&&!Yv(t,n)&&a.length<o||s;return{useSqueezeShape:l,uniformShape:l?u:t,keptDims:i}}function rJ(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function aJ(e,t){return t.map((function(t){return e[t]})).join(", ")}function iJ(e,t,n,r){var a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return 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t.enableShapeUniforms&&(r=e.getUniformLocation(n,"outShape",h),i=e.getUniformLocation(n,"outShapeStrides",h),a=e.getUniformLocation(n,"outTexShape",h)),t.customUniforms&&t.customUniforms.forEach((function(t,r){c[r]=e.getUniformLocation(n,t.name,h)})),{uniformLocations:s,customUniformLocations:c,infLoc:p,nanLoc:o,inShapesLocations:u,inTexShapesLocations:l,outShapeLocation:r,outShapeStridesLocation:i,outTexShapeLocation:a}}function sJ(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!Yv(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Yv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. 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vJ(e){var t=BY();return function(e,t){var n=TY(e,(function(){return e.createShader(e.VERTEX_SHADER)}),"Unable to create vertex WebGLShader.");if(fY(e,(function(){return e.shaderSource(n,t)})),fY(e,(function(){return e.compileShader(n)})),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}(e,t.version+"\n precision highp float;\n "+t.attribute+" vec3 clipSpacePos;\n "+t.attribute+" vec2 uv;\n "+t.varyingVs+" vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }")}function gJ(e){return function(e,t){var n=TY(e,(function(){return e.createBuffer()}),"Unable to create WebGLBuffer");return fY(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),fY(e,(function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)})),n}(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function yJ(e){return function(e,t){var n=TY(e,(function(){return 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if(a="EXT_color_buffer_float",FY(this.gl,a))this.colorBufferFloatExtension=this.gl.getExtension(a);else{if(!FY(this.gl,i))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(i)}this.vertexBuffer=gJ(this.gl),this.indexBuffer=yJ(this.gl),this.framebuffer=function(e){return TY(e,(function(){return e.createFramebuffer()}),"Unable to create WebGLFramebuffer.")}(this.gl),this.textureConfig=hY(this.gl,this.textureHalfFloatExtension)}var t=e.prototype;return t.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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this.throwIfDisposed(),function(e,t,n,r){var a=lY(t,n);return bJ(e,a[0],a[1],kJ(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)},t.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),function(e,t,n){fY(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===Og().getNumber("WEBGL_VERSION")?fY(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)})):fY(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):2===Og().getNumber("WEBGL_VERSION")?fY(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)})):fY(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),fY(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t)},t.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,i){var o,s,u;fY(e,(function(){return 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t=this;this.throwIfDisposed(),this.outputTexture===e&&(IY(this.gl,this.framebuffer),this.outputTexture=null),fY(this.gl,(function(){return t.gl.deleteTexture(e)}))},t.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n,r){var a=lY(t,n),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return fY(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}(r.gl,t,n,r.textureConfig)}))},t.downloadPackedMatrixFromBuffer=function(e,t,n,r,a,i){return SJ(this.gl,e,0,0,0,a,i,this.textureConfig)},t.downloadFloat32MatrixFromBuffer=function(e,t){return function(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}(this.gl,e,t)},t.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=function(e,t,n,r){var a=e.createBuffer();fY(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return fY(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),fY(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),fY(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},t.createFence=function(e){var t,n,r=this;if(Og().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 Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},t.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n){var r=new Float32Array(t*n*4);return fY(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}(r.gl,t,n)}))},t.createProgram=function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=vJ(n));var r,a=function(e){return TY(e,(function(){return e.createProgram()}),"Unable to create WebGLProgram.")}(n);return fY(n,(function(){return n.attachShader(a,t.vertexShader)})),fY(n,(function(){return n.attachShader(a,e)})),function(e,t){if(fY(e,(function(){return e.linkProgram(t)})),!Og().get("ENGINE_COMPILE_ONLY")&&!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment 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TY(e,(function(){return e.getUniformLocation(t,n)}),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),fY(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))},t.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},t.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),kY(this.gl,e,t,n)},t.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},t.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=pY(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},t.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},t.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.debugValidate=function(){null!=this.program&&xY(this.gl,this.program),SY(this.gl)},t.executeProgram=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()}fY(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},t.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),fY(this.gl,(function(){return e.gl.finish()}))},t.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=mY(this.gl,2===Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.beginQuery=function(){if(2===Og().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},t.endQuery=function(){if(2!==Og().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)}},t.waitForQueryAndGetTime=function(){var e=Iv(kv().mark((function e(t){var n=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,$v((function(){return n.disposed||n.isQueryAvailable(t,Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},t.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},t.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},t.addItemToPoll=function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in Og().platform&&(r=Og().platform.setTimeoutCustom.bind(Og().platform)),$v((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),NY(this.gl,e,this.framebuffer),this.debug&&SY(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(NY(this.gl,this.outputTexture,this.framebuffer),this.debug&&SY(this.gl)):IY(this.gl,this.framebuffer)},t.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},t.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;NY(r,e,this.framebuffer),this.debug&&SY(r),this.outputTexture=e,fY(r,(function(){return r.viewport(0,0,t,n)})),fY(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),fY(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))},t.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},Tv(e,[{key:"debug",get:function(){return Og().getBool("DEBUG")}}]),e}();var CJ=nG,EJ=oG,AJ=sG,RJ=ZU,_J=pG,OJ=dG,FJ=mG,DJ=yG,MJ=wG,LJ=IG,zJ=CG,PJ=EG,BJ=AG,WJ=OG,VJ=MG,UJ=PG,GJ=VG,jJ=UG,HJ=HG,qJ=qG,KJ=YG,XJ=QG,YJ=nj,JJ=aj,ZJ=cj,QJ=mj,$J=gj,eZ=kj,tZ=Nj,nZ=Ij,rZ=Cj,aZ=Ej,iZ=VU,oZ=_j,sZ=Dj,uZ=Mj,lZ=Lj,cZ=zj,pZ=Gj,hZ=Hj,fZ=Kj,dZ=Xj,mZ=Yj,vZ=$j,gZ=nH,yZ=sj,bZ=rH;function xZ(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function wZ(e,t){return 1===t?[e]:xZ(e,t)}var kZ=function(){function e(e){if(this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.enableShapeUniforms=uJ(this.outputShape.length),0===this.rank)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{var t=wZ("rc",this.rank),n=tJ(this.rank),r=this.getOutOfBoundsCondition(t),a=this.getSetup(t),i=this.getOutput(t);this.userCode="\n void main() {\n "+n+" rc = getOutputCoords();\n\n if("+r+") {\n setOutput(vec4(0));\n } else {\n "+a+"\n\n setOutput(vec4("+i+"));\n }\n }\n "}}var t=e.prototype;return t.getSourceCoordsArr=function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a=(0===n?"r":"rp1")+", "+(0===r?"c":"cp1"),i=2;i<this.rank;i++)a=e[e.length-1-i]+","+a;t.push(a)}return t},t.getOutOfBoundsCondition=function(e){if(1===this.rank)return"rc > "+(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+=e[n]+" >= "+(this.enableShapeUniforms?"outShape["+n+"]":this.outputShape[n]),n<this.rank-1&&(t+="||");return t},t.getSetup=function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape["+this.rank+" - 1]":this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape["+this.rank+" - 2]":this.outputShape[this.rank-2];return"\n int r = "+t[0]+";\n int c = "+t[1]+";\n int rp1 = r + 1;\n int cp1 = c + 1;\n\n bool cEdge = cp1 >= "+n+";\n bool rEdge = rp1 >= "+r+";\n "},t.getOutput=function(e){var t=this.getSourceCoordsArr(e);return 1===this.rank?"getA(rc), (rc + 1 >= "+(this.enableShapeUniforms?"outShape":this.outputShape[0])+" ? 0. : getA(rc + 1)), 0, 0":"getA("+t[0]+"),\n cEdge ? 0. : getA("+t[1]+"),\n rEdge ? 0. : getA("+t[2]+"),\n rEdge || cEdge ? 0. : getA("+t[3]+")"},e}(),NZ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=uJ(this.outputShape.length);for(var n,r="",a=0;a<4;a++){var i="thisRC = rc;";a%2==1&&(i+="thisRC.z += 1;"),a>1&&(i+="thisRC.y += 1;"),r+="\n "+i+"\n "+(a>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["+a+"] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n "+(a>0?"}":"")+"\n "}this.userCode="\n "+(n=t,"\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n "+(this.enableShapeUniforms?UY(["r","c","d"],"inputShape"):WY(["r","c","d"],n))+"\n return ivec3(r, c, d);\n }\n \n ")+(this.enableShapeUniforms?"\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n":GY(e))+"\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = "+(this.enableShapeUniforms?"outShape[1]":e[1])+";\n int cols = "+(this.enableShapeUniforms?"outShape[2]":e[2])+";\n\n "+r+"\n\n setOutput(result);\n }\n "};var IZ=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=TZ(t,n),a=CZ(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=SZ(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].shift();return this.usedTextures[a].push(s),s}return r===iY.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===iY.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===iY.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===iY.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===iY.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},t.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var a=TZ(n,r),i=CZ(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=SZ(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=Og().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],l=u.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(l,1),this.log()}},t.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")");var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*t)+"%)")}},t.getNumUsedTextures=function(){return this.numUsedTextures},t.getNumFreeTextures=function(){return this.numFreeTextures},t.dispose=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}},Tv(e,[{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}}]),e}();function SZ(e,t,n,r,a){var i,o=function(e,t){switch(e){case iY.PACKED_2X2_FLOAT32:return NJ(t);case iY.PACKED_2X2_FLOAT16:return IJ(t);case iY.UNPACKED_FLOAT32:return xJ(t);case iY.UNPACKED_FLOAT16:return wJ(t);case iY.PACKED_4X1_UNSIGNED_BYTE:return kJ(t);default:throw new Error("Unknown physical texture type "+e)}}(t,r);if(a){var s=pY(e[0],e[1]);i=s[0]*s[1]}else{var u=lY(e[0],e[1]);i=u[0]*u[1]}var l=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 "+t)}(n,o);return i*l}function TZ(e,t){if(e===aY.UPLOAD)return iY.PACKED_2X2_FLOAT32;if(e===aY.RENDER||null==e)return function(e){return Og().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?iY.PACKED_2X2_FLOAT32:iY.UNPACKED_FLOAT32:e?iY.PACKED_2X2_FLOAT16:iY.UNPACKED_FLOAT16}(t);if(e===aY.DOWNLOAD||e===aY.PIXELS)return iY.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function CZ(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var EZ=function(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=uJ(this.outputShape.length),this.userCode="\n float unaryOperation(float x) {\n "+t+"\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n "},AZ="if (isnan(x)) return x;",RZ="return abs(x);";var _Z="return x;",OZ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=uJ(this.outputShape.length),this.userCode="\n vec4 unaryOperation(vec4 x) {\n "+t+"\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n "},FZ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=uJ(this.outputShape.length);var t=e.length,n=wZ("rc",t),r=tJ(t),a=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}(t,n),i=n.slice(-2),o=t<=1?"rc":"vec2("+i.join(",")+")";this.userCode="\n void main() {\n "+r+" rc = getOutputCoords();\n vec4 packedInput = getA("+a+");\n\n setOutput(getChannel(packedInput, "+o+"));\n }\n "},DZ=IE,MZ={};var LZ=Og().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var zZ=function(e){function t(t){var n,r,a;if((n=e.call(this)||this).pendingRead=new WeakMap,n.pendingDisposal=new WeakSet,n.dataRefCount=new WeakMap,n.numBytesInGPU=0,n.uploadWaitMs=0,n.downloadWaitMs=0,n.lastGlFlushTime=0,n.warnedAboutMemory=!1,n.pendingDeletes=0,n.disposed=!1,!Og().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=t){if(t instanceof TJ)r=t;else{var i=uY(Og().getNumber("WEBGL_VERSION"),t);r=new TJ(i)}n.binaryCache={},n.gpgpuCreatedLocally=!1}else{var o=uY(Og().getNumber("WEBGL_VERSION"));r=new TJ(o),n.binaryCache=((a=Og().getNumber("WEBGL_VERSION"))in MZ||(MZ[a]={}),MZ[a]),n.gpgpuCreatedLocally=!0}return n.gpgpu=r,n.canvas=n.gpgpu.gl.canvas,n.textureManager=new IZ(n.gpgpu),n.numMBBeforeWarning=null==Og().global.screen?1024:Og().global.screen.height*Og().global.screen.width*window.devicePixelRatio*600/1024/1024,n.texData=new zv(Fv(n),XN()),n}Cv(t,e);var n=t.prototype;return n.nextDataId=function(){return t.nextDataId++},n.numDataIds=function(){return this.texData.numDataIds()-this.pendingDeletes},n.writeTexture=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=RY(t),l=new dJ(u,!1,i),c=this.runWebGLProgram(l,[o],n,[[r,a]]);return c.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),c.dataId},n.write=function(e,t,n){if((Og().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Og().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:aY.UPLOAD,refCount:1}),r},n.refCount=function(e){return this.texData.has(e)?this.texData.get(e).refCount:0},n.incRef=function(e){this.texData.get(e).refCount++},n.decRef=function(e){this.texData.has(e)&&this.texData.get(e).refCount--},n.move=function(e,t,n,r,a){if(Og().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:aY.UPLOAD,refCount:a})},n.disposeIntermediateTensorInfo=function(e){this.disposeData(e.dataId)},n.readSync=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 OZ(o,_Z):new EZ(o,_Z);var l=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),c=this.readSync(l.dataId);return this.disposeIntermediateTensorInfo(l),c}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var p,h,f=null!=this.activeTimers;(f&&(p=Bw()),"complex64"===r)?h=z_(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):h=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=Bw()-p),this.convertAndCacheOnCPU(e,h)},n.read=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,o=r.slice,s=r.dtype,u=r.complexTensorInfos,l=r.isPacked,null==o){e.next=11;break}return c=l?new OZ(i,_Z):new EZ(i,_Z),p=this.runWebGLProgram(c,[{dataId:t,shape:i,dtype:s}],s),h=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",h);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!Og().getBool("DEBUG")){e.next=16;break}if(Og().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==Og().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(f=null,"complex64"!==s&&Og().get("WEBGL_BUFFER_SUPPORTED")&&(d=this.decode(t),v=this.texData.get(d.dataId),f=(m=this.gpgpu).createBufferFromTexture.apply(m,[v.texture.texture].concat(cY(i)))),this.pendingRead.set(t,[]),"complex64"===s){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==s){e.next=31;break}return e.next=25,Promise.all([this.read(u.real.dataId),this.read(u.imag.dataId)]);case 25:y=e.sent,b=y[0],x=y[1],g=z_(b,x),e.next=32;break;case 31:null==f?g=this.getValuesFromTexture(t):(w=Xv(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(f,w));case 32:return null!=d&&this.disposeIntermediateTensorInfo(d),null!=f&&fY(k=this.gpgpu.gl,(function(){return k.deleteBuffer(f)})),N=this.convertAndCacheOnCPU(t,g),I=this.pendingRead.get(t),this.pendingRead.delete(t),I.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&XN().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.readToGPU=function(e,t){void 0===t&&(t={});var 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 l;l=s?new OZ(a,_Z):new EZ(a,_Z);var c=this.runWebGLProgram(l,[{dataId:e,shape:a,dtype:o}],o),p=this.readToGPU(c,t);return this.disposeIntermediateTensorInfo(c),p}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 h=this.decode(e,t.customTexShape),f=XN().makeTensorFromTensorInfo(h),d=this.texData.get(h.dataId);return Object.assign({tensorRef:f},d.texture)},n.bufferSync=function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return Uw(e)}));return GN(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return GN(e.shape,e.dtype,t)},n.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!dY(n)){if(Og().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},n.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Xv(n);if(Og().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),l=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(cY(n))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),l}var c=Og().getBool("WEBGL_PACK")&&!0===a,p=c?RY(n):n,h=c?new hJ(p):new pJ(p),f=this.runWebGLProgram(h,[{shape:p,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),m},n.timerAvailable=function(){return Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0},n.time=function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=jw(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=jw(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return Iv(kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,s.kernelMs=jv(n),s.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:o[t],ms:e}})).map((function(e){return e.name+": "+e.ms})).join(", ")},e.next=9;break;case 8:s.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",s);case 12:case"end":return e.stop()}}),e)})))()},n.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},n.startTimer=function(){return Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Bw(),endMs:null}},n.endTimer=function(e){return Og().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=Bw(),e)},n.getQueryTime=function(){var e=Iv(kv().mark((function e(t){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Og().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)})));return function(t){return e.apply(this,arguments)}}(),n.disposeData=function(e,t){if(void 0===t&&(t=!1),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).complexTensorInfos;return null!=n&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0},n.releaseGPUData=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,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},n.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture},n.getDataInfo=function(e){return this.texData.get(e)},n.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=LZ),Og().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&Xv(e.shape)<t}))},n.getGPGPUContext=function(){return this.gpgpu},n.where=function(e){jx("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return DZ(e.shape,t)},n.packedUnaryOp=function(e,t,n){var r=new OZ(e.shape,t),a=this.compileAndRun(r,[e],n);return XN().makeTensorFromTensorInfo(a)},n.abs=function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=iZ(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(Og().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,RZ,e.dtype);var n=new EZ(e.shape,RZ),r=this.compileAndRun(n,[e]);return XN().makeTensorFromTensorInfo(r)},n.makeTensorInfo=function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&cg(n[0])){var a=n.map((function(e){return Vw(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}},n.makeOutput=function(e,t,n){return XN().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)},n.unpackTensor=function(e){var t=new FZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},n.packTensor=function(e){var t=new kZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},n.packedReshape=function(e,t){var n=[EY(e.shape)].concat(AY(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[EY(t)].concat(AY(t)),i=new NZ(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}},n.decode=function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Hv(Xv(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=RY(a);o=r?new cJ(s):new lJ(s);var u=[null!=t?t:cY(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}},n.runWebGLProgram=function(e,t,n,r,a,i){var o=this;void 0===a&&(a=!1);var s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===rY.DENSE){var l=null!=i?i:cY(e.outputShape);u.texShape=l.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Xv(s.shape))return u.values=rg(s.dtype,0),s;var c=[],p=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=o.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&Xv(t.shape)<=Og().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(o.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?o.unpackTensor(t):o.packTensor(t),c.push(t),n=o.texData.get(t.dataId);else if(n.isPacked&&!OY(n.shape,t.shape)){var r=t,a=t.shape;t.shape=n.shape,t=o.packedReshape(t,a),c.push(t),n=o.texData.get(t.dataId),r.shape=a}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var h,f={shape:s.shape,texData:u,isUniform:!1},d=function(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var i=t.texData.texShape,o=nJ(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,l=o.keptDims,c="",p="",h="";if(1===u.length&&e.packedInputs){var f=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];c=(f[0]>1)+"_"+(f[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var d=vg(u);h=(d[0]===i[1])+"_"+(d[d.length-1]===i[1])}}else p=(u[0]>1)+"_"+(u[1]>1);var m=t.shape.length,v=2===u.length&&Yv(t.shape,i),g=1===Xv(t.shape),y=xS(t.shape,n.shape),b=!e.packedInputs&&m===n.shape.length&&Yv(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":(i[0]>1)+"_"+(i[1]>1);r+=m+"_"+b+"_"+(s?l:"")+"_"+u.length+"_"+g+"_"+y+"_"+v+"_"+c+"_"+p+"_"+h+"_"+x+"_"+a}else{var w=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+w+"_"+a}}));var a=e.userCode,i=e.constructor.name;return i+"_"+r+"_"+a+Og().getNumber("WEBGL_VERSION")}(e,p,f),m=this.getAndSaveBinary(d,(function(){return iJ(o.gpgpu,e,p,f)})),v=null!=this.activeTimers;v&&(h=this.startTimer()),Og().get("ENGINE_COMPILE_ONLY")||function(e,t,n,r,a){t.program.enableShapeUniforms||(sJ(t.inShapeInfos,n),sJ([t.outShapeInfo],[r]));var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i.texture,o[0],o[1]):e.setOutputMatrixTexture(i.texture,o[0],o[1]),e.setProgram(t.webGLProgram),1===Og().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((function(n,r){var a=t.program.variableNames[r],i=t.uniformLocations[a],o=t.uniformLocations["offset"+a],s=t.inShapesLocations[a+"Shape"],u=t.inTexShapesLocations[a+"TexShape"];if(s){var l=nJ(t.program.packedInputs,n.shape,n.texData.texShape).uniformShape;switch(l.length){case 1:e.gl.uniform1iv(s,new Int32Array(l));break;case 2:e.gl.uniform2iv(s,new Int32Array(l));break;case 3:e.gl.uniform3iv(s,new Int32Array(l));break;case 4:e.gl.uniform4iv(s,new Int32Array(l))}}if(u&&e.gl.uniform2i(u,n.texData.texShape[0],n.texData.texShape[1]),null!=i)if(n.isUniform)if(Xv(n.shape)<2)e.gl.uniform1f(i,n.uniformValues[0]);else{var c=n.uniformValues;c instanceof Float32Array||(c=new Float32Array(c)),e.gl.uniform1fv(i,c)}else null!=n.texData.slice&&null!=o&&e.gl.uniform1i(o,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture.texture,i,r)}));var s=t.outShapeLocation;if(s)switch(r.shape.length){case 1:e.gl.uniform1iv(s,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(s,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(s,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(s,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var u=vg(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u))}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a&&t.program.customUniforms.forEach((function(n,r){var i=t.customUniformLocations[r],o=a[r];if("float"===n.type)e.gl.uniform1fv(i,o);else if("vec2"===n.type)e.gl.uniform2fv(i,o);else if("vec3"===n.type)e.gl.uniform3fv(i,o);else if("vec4"===n.type)e.gl.uniform4fv(i,o);else if("int"===n.type)e.gl.uniform1iv(i,o);else if("ivec2"===n.type)e.gl.uniform2iv(i,o);else if("ivec3"===n.type)e.gl.uniform3iv(i,o);else{if("ivec4"!==n.type)throw Error("uniform type "+n.type+" is not supported yet.");e.gl.uniform4iv(i,o)}})),e.executeProgram()}(this.gpgpu,m,p,f,r),c.forEach((function(e){return o.disposeIntermediateTensorInfo(e)})),v&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));var g=Og().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=Bw();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!Og().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===a){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s},n.compileAndRun=function(e,t,n,r,a){return void 0===a&&(a=!1),n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)},n.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},n.getTextureManager=function(){return this.textureManager},n.dispose=function(){var e=this;if(!this.disposed){if(!Og().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}},n.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=JN((function(){if(!Og().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Og().getBool("DEBUG");Og().set("DEBUG",!1);var n=e.abs(GS(1e-8)).dataSync()[0];if(Og().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=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,l=null!=this.activeTimers;l&&(u=Bw());var c=t.texShape;if(null==c&&(c=function(e,t){void 0===t&&(t=!1);var n=Og().getNumber("WEBGL_MAX_TEXTURE_SIZE"),r=Og().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");if(r===1/0&&Og().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(r=n/2),t&&(n*=2,r*=2,1===(e=e.map((function(t,n){return n>=e.length-2?Uv(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var a=ng(e);e=a.newShape}var i=Xv(e),o=null;e.length<=1&&i<=n?o=[1,i]:2===e.length&&e[0]<=n&&e[1]<=n?o=e:3===e.length&&e[0]*e[1]<=n&&e[2]<=n?o=[e[0]*e[1],e[2]]:3===e.length&&e[0]<=n&&e[1]*e[2]<=n?o=[e[0],e[1]*e[2]]:4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n?o=[e[0]*e[1]*e[2],e[3]]:4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(o=[e[0],e[1]*e[2]*e[3]]);var s=null!=o&&Math.max.apply(Math,o)>r&&Math.min.apply(Math,o)<=(t?2:1)&&Math.min.apply(Math,o)>0;if(null==o||s)if(t){var u=EY(e),l=2,c=2;if(e.length){var p=AY(e);l=p[0],c=p[1]}o=Zv(i=u*(l/2)*(c/2)).map((function(e){return 2*e}))}else o=Zv(i);return o}(n,s),t.texShape=c),null!=a){var p,h=RY(n),f=c[1],d=c[0],m=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!m){var v=pY(c[0],c[1]);f=v[0],d=v[1]}p=s?new mJ(h,m):new dJ(h,m);var g=m?[d,f]:c,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=m?aY.PIXELS:aY.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],w=this.runWebGLProgram(p,[y],r,x,!0),k=this.texData.get(w.dataId);t.texShape=k.texShape,t.isPacked=k.isPacked,t.usage=k.usage,Og().get("ENGINE_COMPILE_ONLY")?this.disposeData(w.dataId):(t.texture=k.texture,t.values=null,this.texData.delete(w.dataId)),this.disposeIntermediateTensorInfo(y),l&&(this.uploadWaitMs+=Bw()-u)}else{var N=this.acquireTexture(c,o,r,s);t.texture=N}}},n.convertAndCacheOnCPU=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 "+t)}(t,r)),n.values},n.acquireTexture=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: "+a+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)},n.computeBytes=function(e,t){return e[0]*e[1]*ug(t)},n.checkCompileCompletion=function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=t[e][1];this.checkCompletion_(n)}},n.checkCompileCompletionAsync=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s,u,l=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=[],!this.gpgpu.parallelCompilationExtension){e.next=6;break}for(n=0,r=Object.entries(this.binaryCache);n<r.length;n++)a=r[n],i=a[1],t.push(this.checkCompletionAsync_(i));return e.abrupt("return",Promise.all(t));case 6:for(o=function(){var e=u[s][1],n=new Promise((function(t){try{l.checkCompletion_(e),t(!0)}catch(e){throw e}}));t.push(n)},s=0,u=Object.entries(this.binaryCache);s<u.length;s++)o();return e.abrupt("return",Promise.all(t));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.checkCompletionAsync_=function(){var e=Iv(kv().mark((function e(t){return kv().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,m_();case 6:return e.abrupt("return",this.checkCompletionAsync_(t));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.checkCompletion_=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 bY(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},n.getUniformLocations=function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=t[e][1],r=oJ(this.gpgpu,n.program,n.webGLProgram),a=r.uniformLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.inShapesLocations,l=r.inTexShapesLocations,c=r.outShapeLocation,p=r.outShapeStridesLocation,h=r.outTexShapeLocation;n.uniformLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.inShapesLocations=u,n.inTexShapesLocations=l,n.outShapeLocation=c,n.outShapeStridesLocation=p,n.outTexShapeLocation=h}},n.createTensorFromGPUData=function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=XN().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 XN().makeTensorFromDataId(u,t,n,s)},t}(Pv);zZ.nextDataId=0;Ck()&&eI("webgl",(function(){return new zZ}),2);var PZ=function(e,t,n){this.variableNames=["A","B"],this.outputShape=kS(t,n),this.enableShapeUniforms=uJ(this.outputShape.length),this.userCode="\n float binaryOperation(float a, float b) {\n "+e+"\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n "},BZ=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=kS(t,n);var a=this.outputShape.length;this.enableShapeUniforms=uJ(a);var i="";if(r)if(0===a||1===Xv(this.outputShape))i="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else if(i="\n "+tJ(a)+" coords = getOutputCoords();\n ",1===a)this.enableShapeUniforms?i+="\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n ":i+="\n result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n ";else{var o=wZ("coords",a);this.enableShapeUniforms?i+="\n bool nextRowOutOfBounds =\n ("+o[a-2]+" + 1) >= outShape["+a+" - 2];\n bool nextColOutOfBounds =\n ("+o[a-1]+" + 1) >= outShape["+a+" - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n ":i+="\n bool nextRowOutOfBounds =\n ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n bool nextColOutOfBounds =\n ("+o[a-1]+" + 1) >= "+this.outputShape[a-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 "+e+"\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n "+i+"\n\n setOutput(result);\n }\n "};function WZ(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 VZ={kernelName:Yy,backendName:"webgl",kernelFunc:WZ};function UZ(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=WZ({inputs:{x:r},backend:n}),u=WZ({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var GZ={kernelName:sy,backendName:"webgl",kernelFunc:UZ},jZ="return (a < 0.) ? b * a : a;",HZ="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var qZ={kernelName:tb,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",zw(i,"float32")),s=Og().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new BZ(HZ,a.shape,o.shape):new PZ(jZ,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},KZ="return (a < 0.) ? b * a : a;",XZ="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var YZ={kernelName:zb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=Og().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new BZ(XZ,r.shape,a.shape):new PZ(KZ,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function JZ(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,l=s,c=a||u.dtype;if(l.shouldExecuteOnCPU([u])&&null!=r){var p=l.texData.get(u.dataId),h=r(p.values,c);return l.makeTensorInfo(u.shape,c,h)}return i=Og().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new OZ(u.shape,n):new EZ(u.shape,t),l.runWebGLProgram(i,[u],c)}}function ZZ(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,l=r.a,c=r.b,p=i;if(o&&"complex64"===l.dtype){var h=p.texData.get(l.dataId),f=p.texData.get(c.dataId),d=[[h.complexTensorInfos.real,f.complexTensorInfos.real],[h.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=e[0],r=e[1],a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o=new PZ(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],pk(n.dtype,r.dtype))})),m=d[0],v=d[1],g=UZ({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||pk(l.dtype,c.dtype);if(("string"===l.dtype||"string"===c.dtype||p.shouldExecuteOnCPU([l,c]))&&null!=s){var x=p.texData.get(l.dataId).values,w=p.texData.get(c.dataId).values,k="string"===l.dtype?mO(x):x,N="string"===l.dtype?mO(w):w,I=s(l.shape,c.shape,k,N,b),S=I[0],T=I[1],C=p.makeTensorInfo(T,b);return p.texData.get(C.dataId).values=S,C}return y=Og().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new BZ(n,l.shape,c.shape,a):new PZ(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}function QZ(e,t){if(void 0===t&&(t=!1),"linear"===e)return"return x;";if("relu"===e)return t?"\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? 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The new shape and old shape must have the same number of elements."}));var c=o.texData.get(a.dataId);return!c.isPacked||OY(a.shape,u)||null!==c.texture&&OY(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[EY(e.shape)].concat(AY(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[EY(t)].concat(AY(t)),o=new NZ(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 sQ={kernelName:qb,backendName:"webgl",kernelFunc:oQ},uQ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o=4*Math.floor(n/4),s=n%4,u="sumValue += dot(values, ones);";if(null!=t){var l=1/t;u="sumValue += dot(values * "+(Jv(l)?l.toPrecision(2):l)+", ones);"}var c="";a%n>0&&(c="\n if (inIdx < 0 || inIdx >= "+a+") {\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 "+c+"\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 * "+n+";\n\n float sumValue = 0.0;\n\n for (int i = 0; i < "+o+"; 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 "+u+"\n }\n\n int inIdx = inOffset + "+o+";\n if ("+(1===s)+") {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n "+u+"\n } else if ("+(2===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n "+u+"\n } else if ("+(3===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n "+u+"\n }\n setOutput(sumValue);\n }\n "},lQ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n if ("+("sum"===t)+") {\n sumValue += dot(values, ones);\n } else if ("+("prod"===t)+") {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = "+s+"(values, minMaxValue);\n if ("+("min"===t)+" || "+("max"===t)+") {\n minMaxValue = "+s+"(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 ",h="vec4";"all"===t?(o="1.0",p="\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n ",h="bvec4"):"any"===t&&(o="0.0",p="\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n ",h="bvec4");var f="";a%n>0&&(f="\n if (inIdx < 0 || inIdx >= "+a+") {\n return initializationValue;\n }\n "),this.userCode="\n const float initializationValue = "+o+";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n "+f+"\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 * "+n+";\n\n vec4 minMaxValue = vec4("+o+");\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 < "+l+"; i += 4) {\n int inIdx = inOffset + i;\n "+h+" values = "+h+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n "+p+"\n }\n\n int inIdx = inOffset + "+l+";\n if ("+(1===c)+") {\n "+h+" values = "+h+"(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+p+"\n } else if ("+(2===c)+") {\n "+h+" values = "+h+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n "+p+"\n } else if ("+(3===c)+") {\n "+h+" values = "+h+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n "+p+"\n }\n setOutput("+u+");\n }\n "};function cQ(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=k_(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],l=u.inSize,c=u.windowSize,p=u.outSize,h=void 0;h="mean"===n?0===o?new uQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new uQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new lQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},n),s=i,i=r.runWebGLProgram(h,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var pQ=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=tJ(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+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()}(t);this.userCode="\n void main() {\n "+a+" resRC = getOutputCoords();\n setOutput(getA("+i+"));\n }\n "};var hQ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=tJ(this.rank),i=xZ("rc",this.rank),o=new Array(this.rank),s=0;s<t.length;s++)o[t[s]]=i[s];var u="vec2("+o.slice(-2).join()+")",l="++"+i[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+u+")";this.userCode="\n void main() {\n "+a+" rc = getOutputCoords();\n vec4 result = vec4(0.);\n result[0] = "+c+";\n if("+l+") {\n result[1] = "+c+";\n }\n --"+i[this.rank-1]+";\n if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n result[2] = "+c+";\n if("+l+") {\n result[3] = "+c+";\n }\n }\n setOutput(result);\n }\n "};function fQ(e,t,n){var r=Og().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hQ(e.shape,t):new pQ(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function dQ(e){var t=e.inputs,n=e.backend,r=e.attrs;return function(e,t,n,r){var a=t,i=e.shape.length,o=tg(a,e.shape),s=o,u=zS(s,i),l=null!=u,c=e;l&&(c=fQ(e,u,r),s=BS(s.length,i)),LS("sum",s,i);var p=DS(c.shape,s),h=p[0],f=p[1],d=h;n&&(d=MS(h,o));var m=Xv(f),v=oQ({inputs:{x:c},attrs:{shape:[Xv(e.shape)/m,m]},backend:r}),g=cQ(v,hk(e.dtype),"sum",r),y=oQ({inputs:{x:g},attrs:{shape:d},backend:r});return r.disposeIntermediateTensorInfo(v),r.disposeIntermediateTensorInfo(g),l&&r.disposeIntermediateTensorInfo(c),y}(t.x,r.axis,r.keepDims,n)}var mQ={kernelName:hx,backendName:"webgl",kernelFunc:dQ};function vQ(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,l=new Array(u),c=0;c<l.length;c++)l[c]=i.shape[o[c]];if(s.shouldExecuteOnCPU([i])){var p=s.texData.get(i.dataId).values,h=yZ(p,i.shape,i.dtype,o,l);t=s.makeTensorInfo(l,i.dtype),s.texData.get(t.dataId).values=h}else t=fQ(i,o,s);return t}var gQ={kernelName:Fx,backendName:"webgl",kernelFunc:vQ};function yQ(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 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B=1===b,W=z;1!==b&&(W=oQ({inputs:{x:z},backend:i,attrs:{shape:[_,O,1]}}),R.push(W));var V=1===b?2:1,U=P;B&&(U=oQ({inputs:{x:P},backend:i,attrs:{shape:[_,1,O]}}),R.push(U));var G=aQ({inputs:{a:W,b:U},backend:i});S=dQ({inputs:{x:G},backend:i,attrs:{axis:V,keepDims:!0}}),R.push(G)}else{var j=pk(t.dtype,n.dtype),H=new $Z(T,C,[_,y,b],r,a,F,L,D,M),q=[E,A];if(null!=s&&q.push(s),D&&q.push(l),M){var K=i.makeTensorInfo([],"float32",zw(p,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=oQ({inputs:{x:S},backend:i,attrs:{shape:I}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var bQ={kernelName:Vx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,l=r.transposeB,c=r.activation;return yQ({a:a,b:i,transposeA:u,transposeB:l,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:c})}},xQ="return abs(x);";var wQ={kernelName:Mg,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=iZ(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=Og().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new OZ(a.shape,xQ):new EZ(a.shape,xQ),r.runWebGLProgram(t,[a],a.dtype)}},kQ=JZ({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n"}),NQ={kernelName:Lg,backendName:"webgl",kernelFunc:kQ},IQ=JZ({opSnippet:"if (isnan(x)) return x;\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),SQ={kernelName:zg,backendName:"webgl",kernelFunc:IQ},TQ="return a + b;",CQ=ZZ({opSnippet:TQ,packedOpSnippet:TQ,supportsComplex:!0,cpuKernelImpl:CJ}),EQ={kernelName:Pg,backendName:"webgl",kernelFunc:CQ},AQ=function(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("float v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n void main() {\n "+n.join("\n ")+"\n\n float result = "+r+";\n setOutput(result);\n }\n "},RQ=function(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("vec4 v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n void main() {\n "+n.join("\n ")+"\n\n vec4 result = "+r+";\n setOutput(result);\n }\n "};var _Q={kernelName:Bg,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return WZ({inputs:{x:a[0]},backend:r});if(a.length>Og().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 pk(e,t)})),l=a.map((function(e){return e.shape})),c=Og().getBool("WEBGL_PACK")?new RQ(a[0].shape,l):new AQ(a[0].shape,l);return r.runWebGLProgram(c,a,u)}};var OQ={kernelName:Wg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=tg(i,a.shape),l=u,c=zS(l,s),p=a;null!=c&&(p=vQ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=BS(l.length,s)),LS("all",l,s);var h,f=DS(p.shape,l),d=f[0],m=oQ({inputs:{x:p},backend:n,attrs:{shape:[-1,Xv(f[1])]}}),v=cQ(m,m.dtype,"all",n);return h=oQ(o?{inputs:{x:v},backend:n,attrs:{shape:MS(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}};var FQ={kernelName:Vg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=tg(i,a.shape),l=u,c=zS(l,s),p=a;null!=c&&(p=vQ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=BS(l.length,s)),LS("any",l,s);var h,f=DS(p.shape,l),d=f[0],m=oQ({inputs:{x:p},backend:n,attrs:{shape:[-1,Xv(f[1])]}}),v=cQ(m,m.dtype,"any",n);return h=oQ(o?{inputs:{x:v},backend:n,attrs:{shape:MS(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},DQ=function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.outSize;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,i];var o="max"===t?">":"<",s=n?"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 * "+r+";\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < "+r+"; i++) {\n int inIdx = "+s+";\n float candidate = getA(batch, inIdx);\n if (candidate "+o+" bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n "},MQ=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Hv(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=e[e.length-1],i=Math.ceil(a/t);this.outputShape=e.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=tJ(l),p=wZ("coords",l);if(1===i){var h=tJ(s=l+1);o="\n "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n ++"+p[l-1]+";\n "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n ++"+p[l-2]+";\n "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n --"+p[l-1]+";\n "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n --"+p[l-2]+";"}else s=l,o="\n "+c+" sourceLocR = coords;\n ++"+p[l-1]+";\n "+c+" sourceLocG = coords;\n ++"+p[l-2]+";\n "+c+" sourceLocA = coords;\n --"+p[l-1]+";\n "+c+" sourceLocB = coords;\n --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(e){return"int "+e})),v=wZ("sourceLocR",s-1).concat("inIdx.r"),g=wZ("sourceLocG",s-1).concat("inIdx.g"),y=wZ("sourceLocB",s-1).concat("inIdx.b"),b=wZ("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n getBestIndicesAChannel("+g.join()+"),\n getBestIndicesAChannel("+y.join()+"),\n getBestIndicesAChannel("+b.join()+")));",k="vec4(\n getAChannel("+v.join()+"),\n hasNextCol ? getAChannel("+g.join()+") : 0.,\n hasNextRow ? getAChannel("+y.join()+") : 0.,\n hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n float getBestIndicesAChannel("+m.join()+") {\n return getChannel(getBestIndicesA("+f.join()+"),\n vec2("+f.slice(-2).join()+"));\n }";this.userCode="\n float getAChannel("+m.join()+") {\n return getChannel(getA("+f.join()+"),\n vec2("+f.slice(-2).join()+"));\n }\n "+N+"\n void main() {\n "+c+" coords = getOutputCoords();\n bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n "+o+"\n ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = "+k+";\n\n for (int i = 0; i < "+t+"; i++) {\n inIdx = srcIdx;\n "+w+"\n vec4 candidate = "+k+";\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n "};function LQ(e,t,n,r){void 0===r&&(r=null);var a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=k_(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new DQ(s,n,null==r),l=[t];null!=r&&l.push(r);var c=e.runWebGLProgram(u,l,"int32");if(1===c.shape[1])return c;var p=LQ(e,t,n,c);return e.disposeIntermediateTensorInfo(c),p}function zQ(e,t,n,r){void 0===r&&(r=null);var a=null!=r?r.shape:t.shape,i=k_(a[a.length-1]),o=new MQ(a,i,n,null==r),s=null==r?[t]:[t,r],u=e.runWebGLProgram(o,s,"int32");if(u.shape.length===t.shape.length){var l=zQ(e,t,n,u);return e.disposeIntermediateTensorInfo(u),l}return u}function PQ(e,t,n,r){var a=[n];if(LS("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!Og().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=DS(s.shape,a),l=u[0],c=Xv(u[1]),p=oQ({inputs:{x:s},backend:e,attrs:{shape:[-1,c]}});i.push(p);var h=LQ(e,p,r);i.push(h);var f=oQ({inputs:{x:h},backend:e,attrs:{shape:l}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return zQ(e,t,r)}var BQ={kernelName:Ug,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=tg(r.axis,a.shape),o=zS(i,a.shape.length),s=a,u=[];null!=o&&(s=vQ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=BS(i.length,s.shape.length)),LS("argMax",[i[0]],s.shape.length);var l=PQ(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}};var WQ={kernelName:Gg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=tg(r.axis,a.shape),o=zS(i,a.shape.length),s=a,u=[];null!=o&&(s=vQ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=BS(i.length,s.shape.length)),LS("argMin",[i[0]],s.shape.length);var l=PQ(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}},VQ=JZ({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n"}),UQ={kernelName:jg,backendName:"webgl",kernelFunc:VQ},GQ=JZ({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),jQ={kernelName:Hg,backendName:"webgl",kernelFunc:GQ},HQ=JZ({opSnippet:"if (isnan(x)) return x;\n return atan(x);\n"}),qQ={kernelName:qg,backendName:"webgl",kernelFunc:HQ},KQ=ZZ({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return atan(a, b);\n",packedOpSnippet:"\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),XQ={kernelName:Xg,backendName:"webgl",kernelFunc:KQ},YQ=JZ({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;"}),JQ={kernelName:Kg,backendName:"webgl",kernelFunc:YQ},ZQ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="0.0";if(d||(g="-1.0 / 1e-20"),n){this.userCode="\n const ivec2 strides = ivec2("+o+", "+s+");\n const ivec2 pads = ivec2("+h+", "+f+");\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 < "+c+";\n wR += "+u+") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+p+";\n wC += "+l+") {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= "+e.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 >= currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = "+(r?a?m:v:"wR * "+p+" + wC")+";\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n "}else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / max(count, 1.0)");var b=4*Math.floor(i/4),x=i%4,w="\n if ("+d+") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n ";this.userCode="\n const ivec2 strides = ivec2("+o+", "+s+");\n const ivec2 pads = ivec2("+h+", "+f+");\n const float initializationValue = "+g+";\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 >= "+e.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("+g+");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < "+c+";\n wR += "+u+") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+b+"; wC += 4) {\n int xC = xCCorner + wC * "+l+";\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+l+", d),\n getValue(batch, xR, xC + 2 * "+l+", d),\n getValue(batch, xR, xC + 3 * "+l+", d)\n );\n\n "+w+"\n }\n\n int xC = xCCorner + "+b+";\n if ("+(1===x)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+w+"\n } else if ("+(2===x)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+l+", d),\n initializationValue,\n initializationValue\n );\n\n "+w+"\n } else if ("+(3===x)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+l+", d),\n getValue(batch, xR, xC + 2 * "+l+", d),\n initializationValue\n );\n\n "+w+"\n }\n }\n setOutput("+y+");\n }\n "}},QQ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideDepth,s=e.strideHeight,u=e.strideWidth,l=e.dilationDepth,c=e.dilationHeight,p=e.dilationWidth,h=e.effectiveFilterDepth,f=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,v=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n const ivec3 strides =\n ivec3("+o+", "+s+", "+u+");\n const ivec3 pads = ivec3("+m+", "+v+", "+g+");\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 < "+h+";\n wD += "+l+") {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= "+e.inDepth+") {\n continue;\n }\n\n for (int wR = 0; wR < "+f+";\n wR += "+c+") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+d+";\n wC += "+p+") {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= "+e.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 >= currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = "+(r?a?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+f+" * "+d+" +\n wR * "+d+" + wC")+";\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n "}else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / max(count, 1.0)");var w=4*Math.floor(i/4),k=i%4,N="\n if ("+y+") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n ";this.userCode="\n const ivec3 strides =\n ivec3("+o+", "+s+", "+u+");\n const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n const float initializationValue = "+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 xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= "+e.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("+b+");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < "+h+";\n wD += "+l+") {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= "+e.inDepth+") {\n continue;\n }\n\n for (int wR = 0; wR < "+f+";\n wR += "+c+") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+w+"; wC += 4) {\n int xC = xCCorner + wC * "+p+";\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + "+p+", ch),\n getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n );\n\n "+N+"\n }\n\n int xC = xCCorner + "+w+";\n if ("+(1===k)+") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+N+"\n } else if ("+(2===k)+") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + "+p+", ch),\n initializationValue,\n initializationValue\n );\n\n "+N+"\n } else if ("+(3===k)+") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + "+p+", ch),\n getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n initializationValue\n );\n\n "+N+"\n }\n }\n }\n setOutput("+x+");\n }\n "}};var $Q={kernelName:Yg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;zY(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Hv(RI(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=xI(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Yv(l.inShape,l.outShape))return WZ({inputs:{x:a},backend:n});var c=new ZQ(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var e$={kernelName:Zg,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,l=r.dataFormat,c=wI(a.shape,i,o,[1,1,1],s,u,l),p=new QQ(c,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}},t$=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*n);this.userCode="\n const ivec2 pads = ivec2("+l+", "+c+");\n const float avgMultiplier = float("+p+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < "+s+";\n wR += "+i+") {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < "+u+";\n wC+= "+o+") {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n "},n$=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterDepth,p=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=c-1-e.padInfo.front,d=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n const float avgMultiplier = float("+v+");\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 < "+c+";\n wD += "+s+") {\n float dyD = float(dyDCorner + wD) / "+a+".0;\n\n if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < "+p+";\n wR += "+u+") {\n float dyR = float(dyRCorner + wR) / "+i+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < "+h+";\n wC += "+l+") {\n float dyC = float(dyCCorner + wC) / "+o+".0;\n\n if (dyC < 0.0 || dyC >= "+e.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 r$={kernelName:Qg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,l=r.dimRoundingMode,c=wI(i.shape,o,s,[1,1,1],u,l),p=new n$(c);return n.runWebGLProgram(p,[a],i.dtype)}};var a$={kernelName:Jg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;zY([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=xI(o.shape,s,u,1,l),p=new t$(c);return n.runWebGLProgram(p,[a],o.dtype)}};var i$={kernelName:$g,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return yQ({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},o$=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],kS(e,t),kS(e,n);var o="0.0";null!=r&&(kS(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(kS(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = "+o+";\n float scale = "+s+";\n float inv = scale * inversesqrt(variance + float("+i+"));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n "},s$=function(e,t,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],kS(e,t),kS(e,n);var o="vec4(0.0)";null!=r&&(kS(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(kS(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n void main() {\n vec4 offset = "+o+";\n vec4 scale = "+s+";\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n setOutput((x - mean) * inv + offset);\n }\n "},u$={kernelName:jy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;Hv(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==s||i.shape.length===s.shape.length,(function(){return"Batch 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s=i_(t,vg(e.shape));a.slice&&(s+=a.slice.flatOffset),o.slice={flatOffset:s,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var f$={kernelName:ix,backendName:"webgl",kernelFunc:h$},d$={kernelName:ey,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Hv(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=I_(a.shape,i,s),l=S_(u.length,i.length),c=T_(a.shape,i,s),p=C_(o,i.length),h=E_(c,o,i.length),f=[],d=oQ({inputs:{x:a},backend:n,attrs:{shape:u}}),m=vQ({inputs:{x:d},backend:n,attrs:{perm:l}}),v=oQ({inputs:{x:m},backend:n,attrs:{shape:c}}),g=h$({inputs:{x:v},backend:n,attrs:{begin:p,size:h}});return f.push(d),f.push(m),f.push(v),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var m$={kernelName:ty,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=EJ(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}};var v$={kernelName:ry,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=kS(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},g$=ZZ({opSnippet:"return float(a != b);",cpuKernelImpl:JJ,dtype:"bool"}),y$={kernelName:Eb,backendName:"webgl",kernelFunc:g$};function b$(e){var t=e.inputs,n=e.backend,r=t.input;return WZ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var x$={kernelName:Gb,backendName:"webgl",kernelFunc:b$};var w$={kernelName:ay,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return WZ({inputs:{x:i},backend:r});var s=zT(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),l=UZ({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),l}if("complex64"===i.dtype){var c=b$({inputs:{input:i},backend:r}),p=e({inputs:{x:c},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(c),p}if(!sg(i.dtype,o)){var h=WZ({inputs:{x:i},backend:r});return{dataId:h.dataId,shape:h.shape,dtype:o}}if(r.shouldExecuteOnCPU([i])){var f=r.texData.get(i.dataId).values,d=RJ(f,i.shape,i.dtype,o),m=d[0],v=d[1],g=d[2];return r.makeTensorInfo(m,v,g)}if("int32"===o)return function(e,t){var n=new EZ(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var y=r.makeTensorInfo([],"bool",rg("bool",1)),b=g$({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+o)}},k$="return 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T$(i.shape):new S$(i.shape);var u=[[o],[s]];return r.runWebGLProgram(t,[i],i.dtype,u)}},E$=function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). 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1;\n if ("+i[r-2]+" < "+n[r-2]+" &&\n "+i[r-1]+" < "+n[r-1]+") {\n result.b = getValue("+i+");\n }\n setOutput(result);\n }\n "};function F$(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function D$(e){var t=e.inputs,n=e.backend,r=t.input;return WZ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var M$={kernelName:Zy,backendName:"webgl",kernelFunc:D$};function L$(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return b$({inputs:{input:e},backend:n})})),i=e.map((function(e){return D$({inputs:{input:e},backend:n})})),o=L$(a,t,n),s=L$(i,t,n),u=UZ({inputs:{real:o,imag:s},backend:n});return a.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),i.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}var l=n.shouldExecuteOnCPU(e);if("string"===r&&(l=!0),l){var c=e.map((function(e){var r=Xv(e.shape.slice(t));return oQ({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),p=c.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),h=g_(c.map((function(e){return e.shape})),1),f=1===c[0].shape[0],d=OJ(p,h,r,f),m=g_(e.map((function(e){return e.shape})),t),v=n.makeTensorInfo(m,r,d);return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}var g=e.filter((function(e){return Xv(e.shape)>0})),y=Og().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new EZ(e[0].shape,_Z):new OZ(e[0].shape,_Z);return n.runWebGLProgram(b,e,r)}var x=Og().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>x){for(var w=[],k=0;k<g.length;k+=x){var N=g.slice(k,k+x);w.push(L$(N,t,n))}for(var I=L$(w,t,n),S=0,T=w;S<T.length;S++){var C=T[S];n.disposeIntermediateTensorInfo(C)}return I}if(y){var E=new O$(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(E,g,r)}var A=function(e,t,n){var r=g_(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return oQ({inputs:{x:e},attrs:{shape:[-1,Xv(e.shape.slice(t))]},backend:n})})),outShape:r}}(g,t,n),R=A.tensors2D,_=A.outShape,O=new _$(R.map((function(e){return e.shape}))),F=n.runWebGLProgram(O,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var D=oQ({inputs:{x:F},attrs:{shape:_},backend:n});return n.disposeIntermediateTensorInfo(F),D}function z$(e){var t=e.inputs,n=e.backend,r=tg(e.attrs.axis,t[0].shape)[0];v_(t.map((function(e){return e.shape})),r);var a=g_(t.map((function(e){return e.shape})),r);if(0===Xv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Xv(e.shape)>0}));return 1===i.length?WZ({inputs:{x:i[0]},backend:n}):L$(i,r,n)}var P$={kernelName:ly,backendName:"webgl",kernelFunc:z$},B$=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,o=e.padInfo.left,s=e.strideHeight,u=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4,m="channelsLast"===e.dataFormat,v=m?1:2,g=m?2:3,y=m?3:1,b="",x="";n&&(b=r?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":a?"float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n "+n+"\n }":"\n float activation(float x) {\n "+n+"\n }\n ",x="result = activation(result);");var w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n "+b+"\n\n const ivec2 strides = ivec2("+s+", "+u+");\n const ivec2 pads = ivec2("+i+", "+o+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords["+y+"];\n\n ivec2 xRCCorner =\n ivec2(coords["+v+"], coords["+g+"]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < "+p+"; wR++) {\n int xR = xRCorner + wR * "+l+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+h+"; wC++) {\n int xC = xCCorner + wC * "+c+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if ("+m+") {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if ("+(1===d)+") {\n\n if ("+m+") {\n dotProd +=\n getX(batch, xR, xC, "+f+") *\n getW(wR, wC, "+f+", d2);\n } else {\n dotProd +=\n getX(batch, "+f+", xR, xC) *\n getW(wR, wC, "+f+", d2);\n }\n\n } else if ("+(2===d)+") {\n vec2 wValues = vec2(\n getW(wR, wC, "+f+", d2),\n getW(wR, wC, "+f+" + 1, d2)\n );\n\n if ("+m+") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, "+f+"),\n getX(batch, xR, xC, "+f+" + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, "+f+", xR, xC),\n getX(batch, "+f+" + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if ("+(3===d)+") {\n vec3 wValues = vec3(\n getW(wR, wC, "+f+", d2),\n getW(wR, wC, "+f+" + 1, d2),\n getW(wR, wC, "+f+" + 2, d2)\n );\n\n if ("+m+") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, "+f+"),\n getX(batch, xR, xC, "+f+" + 1),\n getX(batch, xR, xC, "+f+" + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, "+f+", xR, xC),\n getX(batch, "+f+" + 1, xR, xC),\n getX(batch, "+f+" + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n "+w+"\n "+x+"\n setOutput(result);\n }\n "},W$=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterDepth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n const ivec3 pads = ivec3("+t+", "+n+", "+r+");\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 < "+c+"; wF++) {\n int xF = xFCorner + wF * "+s+";\n\n if (xF < 0 || xF >= "+e.inDepth+") {\n continue;\n }\n\n for (int wR = 0; wR < "+p+"; wR++) {\n int xR = xRCorner + wR * "+u+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+h+"; wC++) {\n int xC = xCCorner + wC * "+l+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+f+"; 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 ("+(1===d)+") {\n dotProd +=\n getX(batch, xF, xR, xC, "+f+") *\n getW(wF, wR, wC, "+f+", d2);\n } else if ("+(2===d)+") {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, "+f+"),\n getX(batch, xF, xR, xC, "+f+" + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, "+f+", d2),\n getW(wF, wR, wC, "+f+" + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if ("+(3===d)+") {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, "+f+"),\n getX(batch, xF, xR, xC, "+f+" + 1),\n getX(batch, xF, xR, xC, "+f+" + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, "+f+", d2),\n getW(wF, wR, wC, "+f+" + 1, d2),\n getW(wF, wR, wC, "+f+" + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},V$=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),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=e.outShape,this.enableShapeUniforms=uJ(this.outputShape.length);for(var i=e.padInfo.left,o=e.strideWidth,s=e.dilationWidth,u=e.filterHeight,l=e.filterWidth,c=l,p="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",h=0;h<l;h++)p+="\n vec4 xTexelC"+2*h+";\n int xTexelC"+2*h+"Ready;\n vec4 xTexelC"+(2*h+1)+";\n int xTexelC"+(2*h+1)+"Ready;\n vec4 xC"+h+";";p+="\n for (int r = 0; r < "+u+"; r++) {\n for (int d1 = 0; d1 < "+e.inChannels+"; d1 += 2) {\n ";for(var f=0;f<l;f++)p+="\n xTexelC"+2*f+" = vec4(0.0);\n xTexelC"+2*f+"Ready = 0;\n xTexelC"+(2*f+1)+" = vec4(0.0);\n xTexelC"+(2*f+1)+"Ready = 0;\n xC"+f+" = vec4(0.0);";p+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR < inDims[0]) {\n ";for(var d=0;d<(c+1)/2;d++){var m=2*d;if(p+="\n xC = xCCorner + "+m*s+";\n ",1===o){if(m<l&&(i%2==1?(p+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = 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"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n ",p+=1===s&&m>0?"\n xC"+m+" = vec4(xTexelC"+(m-2)+".zw, xTexelC"+m+".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"+m+" = vec4(previous.zw, xTexelC"+m+".xy);\n } else {\n xC"+m+" = vec4(0.0, 0.0, xTexelC"+m+".xy);\n }\n "):p+="\n if (xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n xC"+m+" = xTexelC"+m+";\n ",m+1<l)){var v=i%2==0?Uv(s):s;s%2==0&&i%2==1||s%2!=0&&i%2!=1?(p+="\n xCOffset = xC + imod(pads[1], 2) + "+v+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+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"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n ",p+=s>1?"\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC"+(m+1)+" = vec4(previous.zw, xTexelC"+(m+1)+".xy);\n } else {\n xC"+(m+1)+" = vec4(0.0, 0.0, xTexelC"+(m+1)+".xy);\n }\n ":"\n xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".xy);\n "):p+=1===v?"\n xC"+(m+1)+" = xTexelC"+m+";\n ":"\n xCOffset = xC + "+v+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+(m+1)+" = xTexelC"+(m+1)+";\n "}}else m<l&&(i%2==1?(p+="\n xCOffset = xC + 1 - strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = 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"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+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"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+m+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".zw);\n ",m+1<l&&(p+="\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"+(m+1)+" = vec4(xTexelC"+(m+1)+".xy, final.xy);\n ")):(p+="\n if(xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(m+1)+".zw = vec2(0.);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+m+" = vec4(\n xTexelC"+m+".xy, xTexelC"+(m+1)+".xy);\n ",m+1<l&&(p+="\n xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".zw);\n ")));m<l&&(p+="\n wTexel = getW(r, "+m+", d1, d2);\n dotProd += xC"+m+".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < "+e.inChannels+") {\n dotProd += xC"+m+".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n ",m+1<l&&(p+="\n wTexel = getW(r, "+(m+1)+", d1, d2);\n dotProd += xC"+(m+1)+".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < "+e.inChannels+") {\n dotProd += xC"+(m+1)+".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n "))}p+="\n }\n ",p+="\n }\n ",p+="\n }\n ";var g="",y="";n&&(g=r?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":a?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n "+n+"\n }":"vec4 activation(vec4 x) {\n "+n+"\n }",y="result = activation(result);");var b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n "+g+"\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 "+p+"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n "+b+"\n "+y+"\n setOutput(result);\n }\n "},U$=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=e,this.enableShapeUniforms=uJ(this.outputShape.length);for(var n=t.dataFormat,r=BY(),a="channelsLast"===n,i=a?1:2,o=a?2:3,s=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < "+e[2]+" && pos < "+e[1]+") {",u="",l=0;l<=1;l++)for(var c=0;c<=1;c++)u+="\n blockIndex = rc.z + "+c+";\n pos = rc.y + "+l+";\n\n "+s+"\n offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n if(d0 < inputShape["+i+"] && d0 >= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape["+o+"] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if ("+a+") {\n innerDims = vec2(d1, ch);\n result["+(2*l+c)+"] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result["+(2*l+c)+"] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n ";this.userCode="\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n "+u+"\n\n "+r.output+" = result;\n }\n "};function G$(e,t){var n=e.length;return n>=3?[].concat(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 j$(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=n.shape,m=i.texData.get(n.dataId),v=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=l){var w=G$(l.shape,b);null!=w&&(l=oQ({inputs:{x:l},backend:i,attrs:{shape:w}}),x.push(l))}if(null!=s){var k=G$(s.shape,b);null!=k&&(s=oQ({inputs:{x:s},backend:i,attrs:{shape:k}}),x.push(s))}if(!((1===g||1===y)&&v>1e3)&&m.isPacked&&b&&null!=m.texture&&d[2]%2!=0&&Yv(m.shape.slice(-3),d.slice(-3))){var N=d[0]*d[1]*(d[2]+1),I={dataId:n.dataId,shape:[1,N,a.inChannels],dtype:n.dtype},S=m.shape;m.shape=m.shape.slice(),m.shape[m.shape.length-2]++,Hv(OY(m.shape,I.shape),(function(){return"packed reshape "+m.shape+" to "+I.shape+" isn't free"}));var T=oQ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var C=yQ({a:I,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p}),E=i.texData.get(C.dataId);Hv(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),m.shape=S,E.shape=a.outShape,(t=WZ({inputs:{x:C},backend:i})).shape=a.outShape,x.push(C)}else{var A=a.outHeight*a.outWidth,R=oQ({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=oQ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=yQ({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p});t=oQ({inputs:{x:O},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(O)}for(var F=0,D=x;F<D.length;F++){var M=D[F];i.disposeIntermediateTensorInfo(M)}return t}function H$(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,l=e.leakyreluAlpha,c=void 0===l?0:l,p=e.activation,h=void 0===p?null:p,f=r.filterWidth,d=r.filterHeight,m=r.inChannels,v=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*m,x=g*v,w=[r.batchSize,b,x],k=[];if(null!=u){var N=G$(u.shape,y);null!=N&&(u=oQ({inputs:{x:u},backend:a,attrs:{shape:N}}),k.push(u))}if(null!=o){var I=G$(o.shape,y);null!=I&&(o=oQ({inputs:{x:o},backend:a,attrs:{shape:I}}),k.push(o))}var S=oQ({inputs:{x:n},backend:a,attrs:{shape:[1,b,Xv(n.shape)/b]}});k.push(S);var T=new U$(w,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=oQ({inputs:{x:E},backend:a,attrs:{shape:w}});k.push(E),k.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===h,F=h?QZ(h,!0):null,D=new $Z(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",zw(c,"float32"));M.push(L),k.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=oQ({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});k.push(z);for(var B=0,W=k;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var q$={kernelName:cy,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,l=a.dataFormat,c=a.dilations,p=a.dimRoundingMode,h=OI(l),f=kI(i.shape,o.shape,s,c,u,p,!1,h);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"===h&&Og().getBool("WEBGL_EXP_CONV")){var d=new V$(f),m=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",m)}else if(Og().getBool("WEBGL_CONV_IM2COL"))t=H$({x:i,filter:o,convInfo:f,backend:r});else{var v=new B$(f);t=r.runWebGLProgram(v,[i,o],"float32")}else t=j$({x:i,filter:o,convInfo:f,backend:r});var g=oQ({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},K$=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i="channelsLast"===e.dataFormat;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < "+e.batchSize+"; b++) {\n for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n int xR = wR + yR * "+t+" - "+r+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n int xC = wC + yC * "+n+" - "+a+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n if ("+i+") {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n "},X$=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n const ivec2 pads = ivec2("+o+", "+s+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords["+c+"];\n\n ivec2 dyCorner = ivec2(coords["+u+"], coords["+l+"]) - 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 < "+t+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+t+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+n+" - 1 - wC;\n\n for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n\n if ("+i+") {\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 "},Y$=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,i=e.padInfo.top,o=e.padInfo.left;this.userCode="\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < "+e.batchSize+"; b++) {\n for (int yF = 0; yF < "+e.outDepth+"; yF++) {\n int xF = wF + yF * "+t+" - "+a+";\n\n if (xF < 0 || xF >= "+e.inDepth+") {\n continue;\n }\n\n for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n int xR = wR + yR * "+n+" - "+i+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n int xC = wC + yC * "+r+" - "+o+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},J$=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,l=r-1-e.padInfo.left;this.userCode="\n const ivec3 pads = ivec3("+s+", "+u+", "+l+");\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 < "+t+"; wF++) {\n float dyF = float(dyFCorner + wF) / "+a+".0;\n\n if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = "+t+" - 1 - wF;\n\n for (int wR = 0; wR < "+n+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+i+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+n+" - 1 - wR;\n\n for (int wC = 0; wC < "+r+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+o+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+r+" - 1 - wC;\n\n for (int d2 = 0; d2 < "+e.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 Z$={kernelName:py,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=r.filterShape,p=OI(u),h=kI(a.shape,c,o,1,s,l,!1,p),f=new K$(h);return n.runWebGLProgram(f,[a,i],"float32")}};var Q$={kernelName:hy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,l=r.dataFormat,c=r.dimRoundingMode,p=OI(l),h=kI(o,i.shape,s,1,u,c,!1,p),f=new X$(h);return n.runWebGLProgram(f,[a,i],"float32")}};var $$={kernelName:fy,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,l=NI(a.shape,i.shape,o,u,s),c=new W$(l);return n.runWebGLProgram(c,[a,i],"float32")}};var e0={kernelName:dy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,l=NI(a.shape,u,o,1,s),c=new Y$(l);return n.runWebGLProgram(c,[a,i],"float32")}};var t0,n0={kernelName:my,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=NI(r.inputShape,i.shape,s,1,o),l=new J$(u);return n.runWebGLProgram(l,[a,i],"float32")}},r0=JZ({opSnippet:"if (isnan(x)) return x;\n return cos(x);\n"}),a0={kernelName:vy,backendName:"webgl",kernelFunc:r0},i0=JZ({opSnippet:"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n"}),o0={kernelName:gy,backendName:"webgl",kernelFunc:i0},s0=function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=o-1+".0",d=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+d+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+d],x=b[0],w=b[1],k=b[2];this.userCode="\n const float height_ratio = float("+v+");\n const float width_ratio = float("+x+");\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 >= "+i+") {\n return;\n }\n\n float height_scale = "+g+";\n float width_scale = "+w+";\n\n float in_y = "+y+";\n if( in_y < 0.0 || in_y > "+f+" ) {\n setOutput(float("+a+"));\n return;\n }\n float in_x = "+k+";\n if( in_x < 0.0 || in_x > "+d+" ) {\n setOutput(float("+a+"));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if("+h+" == 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 "},u0={kernelName:xy,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,l=r.extrapolationValue,c=new s0(a.shape,i.shape,s,u,l);return n.runWebGLProgram(c,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(t0||(t0={}));var l0=function(e,t,n,r){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var a=this.outputShape.length,i=this.op===t0.Prod?"1.0":"0.0",o=n?i:"getX("+c0(a,"coords",this.op)+")",s=this.outputShape[this.outputShape.length-1],u="",l="";n?(u=r?"end != "+(s-1):"end != 0",l=r?"end + 1":"end - 1"):(u=r?"end + pow2 < "+s:"end >= pow2",l=r?"end + pow2":"end - pow2"),this.userCode="\n void main() {\n "+tJ(a)+" coords = getOutputCoords();\n int end = "+p0(a,"coords",this.op)+";\n float val = "+o+";\n int pow2 = int(pow(2.0, index));\n if ("+u+") {\n int idx = "+l+";\n "+p0(a,"coords",this.op)+" = idx;\n val "+this.op+"= getX("+c0(a,"coords",this.op)+");\n }\n setOutput(val);\n }\n "};function c0(e,t,n){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw new Error("Cumulative "+n+" for rank "+e+" is not yet supported")}function p0(e,t,n){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw new Error("Cumulative "+n+" for rank "+e+" is not yet supported")}function h0(e,t,n,r,a,i){var o=t.shape.length,s=zS([r],o),u=t;null!=s&&(u=vQ({inputs:{x:t},backend:n,attrs:{perm:s}}));var l=BS(1,o)[0];if(l!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis="+(t.shape.length-1)+" but got axis="+r);for(var c=u.shape[l],p=WZ({inputs:{x:u},backend:n}),h=0;h<=Math.ceil(Math.log2(c))-1;h++){var f=new l0(e,u.shape,!1,i),d=[[h]],m=p;p=n.runWebGLProgram(f,[p],p.dtype,d),n.disposeIntermediateTensorInfo(m)}if(a){var v=new l0(e,u.shape,a,i),g=p;p=n.runWebGLProgram(v,[p],p.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=vQ({inputs:{x:p},backend:n,attrs:{perm:PS(s)}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(u),y}return p}var f0={kernelName:yy,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 h0(t0.Prod,a,n,i,o,s)}};var d0={kernelName:by,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 h0(t0.Sum,a,n,i,o,s)}};var m0={kernelName:wy,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),l=n.readSync(i.dataId),c=EJ(u,l,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}if(2===a.shape.length){var p=n.bufferSync(a),h=n.bufferSync(i),f=AJ(p,h,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"+a.shape.length+".")}},v0=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = "+this.getHeightCoordString()+";\n int w = "+this.getWidthCoordString()+";\n int d = "+this.getDepthCoordString()+";\n\n int in_h = h / "+t+";\n int offset_h = imod(h, "+t+");\n int in_w = w / "+t+";\n int offset_w = imod(w, "+t+");\n int offset_d = (offset_h * "+t+" + offset_w) *\n "+this.getOutputDepthSize()+";\n int in_d = d + offset_d;\n\n float result = "+this.getInputSamplingString()+";\n setOutput(result);\n }\n "}var t=e.prototype;return t.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}();var g0={kernelName:ky,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,l=("NHWC"===o?a.shape[2]:a.shape[3])*i,c=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),p=new v0("NHWC"===o?[s,u,l,c]:[s,c,u,l],i,o);return n.runWebGLProgram(p,[a],a.dtype)}},y0=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=uJ(this.outputShape.length);var i=e.filterHeight,o=e.filterWidth,s=e.outChannels/e.inChannels,u="",l="";n&&(u=r?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":a?"float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n "+n+"\n }":"\n float activation(float x) {\n "+n+"\n }\n ",l="result = activation(result);");var c=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n "+u+"\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 / "+s+";\n int q = d2 - d1 * "+s+";\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 < "+i+"; 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 < "+o+"; 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 "+c+"\n "+l+"\n setOutput(result);\n }\n "},b0=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),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=e.outShape,this.enableShapeUniforms=uJ(this.outputShape.length);for(var i=e.outChannels/e.inChannels,o=e.padInfo.left,s=e.strideWidth,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=c,h="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",f=0;f<c;f++)h+="\n vec4 xTexelC"+2*f+";\n int xTexelC"+2*f+"Ready;\n vec4 xTexelC"+(2*f+1)+";\n int xTexelC"+(2*f+1)+"Ready;\n vec4 xC"+f+";";h+="\n for (int r = 0; r < "+l+"; r++) {\n ";for(var d=0;d<c;d++)h+="\n xTexelC"+2*d+" = vec4(0.0);\n xTexelC"+2*d+"Ready = 0;\n xTexelC"+(2*d+1)+" = vec4(0.0);\n xTexelC"+(2*d+1)+"Ready = 0;\n xC"+d+" = vec4(0.0);";h+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR < inDims[0]) {\n ";for(var m=0;m<(p+1)/2;m++){var v=2*m;if(h+="\n xC = xCCorner + "+v*u+";\n ",1===s){if(v<c&&(o%2==1?(h+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n xTexelC"+v+" = 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"+v+".zw = vec2(0.0);\n }\n xTexelC"+v+"Ready = 1;\n }\n ",h+=1===u&&v>0?"\n xC"+v+" = vec4(xTexelC"+(v-2)+".zw, xTexelC"+v+".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"+v+" = vec4(previous.zw, xTexelC"+v+".xy);\n } else {\n xC"+v+" = vec4(0.0, 0.0, xTexelC"+v+".xy);\n }\n "):h+="\n if (xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n xTexelC"+v+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+v+".zw = vec2(0.0);\n }\n xTexelC"+v+"Ready = 1;\n }\n\n xC"+v+" = xTexelC"+v+";\n ",v+1<c)){var g=o%2==0?Uv(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(h+="\n xCOffset = xC + imod(pads[1], 2) + "+g+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n xTexelC"+(v+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"+(v+1)+".zw = vec2(0.0);\n }\n xTexelC"+(v+1)+"Ready = 1;\n }\n ",h+=u>1?"\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC"+(v+1)+" = vec4(previous.zw, xTexelC"+(v+1)+".xy);\n } else {\n xC"+(v+1)+" = vec4(0.0, 0.0, xTexelC"+(v+1)+".xy);\n }\n ":"\n xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".xy);\n "):h+=1===g?"\n xC"+(v+1)+" = xTexelC"+v+";\n ":"\n xCOffset = xC + "+g+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(v+1)+".zw = vec2(0.0);\n }\n xTexelC"+(v+1)+"Ready = 1;\n }\n\n xC"+(v+1)+" = xTexelC"+(v+1)+";\n "}}else v<c&&(o%2==1?(h+="\n xCOffset = xC + 1 - strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n xTexelC"+v+" = 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"+v+".zw = vec2(0.0);\n }\n xTexelC"+v+"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n xTexelC"+(v+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"+(v+1)+".zw = vec2(0.0);\n }\n xTexelC"+(v+1)+"Ready = 1;\n }\n\n xC"+v+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n ",v+1<c&&(h+="\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"+(v+1)+" = vec4(xTexelC"+(v+1)+".xy, final.xy);\n ")):(h+="\n if(xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n xTexelC"+v+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+v+".zw = vec2(0.0);\n }\n xTexelC"+v+"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(v+1)+".zw = vec2(0.);\n }\n xTexelC"+(v+1)+"Ready = 1;\n }\n\n xC"+v+" = vec4(\n xTexelC"+v+".xy, xTexelC"+(v+1)+".xy);\n ",v+1<c&&(h+="\n xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n ")));v<c&&(h+="\n wTexel = getW(r, "+v+", d1, q);\n dotProd += xC"+v+" * vec4(wTexel.xz, wTexel.xz);\n ",v+1<c&&(h+="\n wTexel = getW(r, "+(v+1)+", d1, q);\n dotProd += xC"+(v+1)+" * vec4(wTexel.xz, wTexel.xz);\n "))}h+="\n }\n ",h+="\n }\n ";var y="",b="";n&&(y=r?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":a?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n "+n+"\n }":"vec4 activation(vec4 x) {\n "+n+"\n }",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n "+y+"\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 / "+i+";\n int q = d2 - d1 * "+i+";\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 "+h+"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n "+x+"\n "+b+"\n setOutput(result);\n }\n "};var x0={kernelName:Ny,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,l=r.dimRoundingMode,c=u;null==c&&(c=[1,1]),Hv(RI(o,c),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p,h=kI(a.shape,i.shape,o,c,s,l,!0);p=Og().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new b0(h):new y0(h);var f=[[h.padInfo.top,h.padInfo.left],[h.strideHeight,h.strideWidth],[h.dilationHeight,h.dilationWidth],[h.inHeight,h.inWidth]];return n.runWebGLProgram(p,[a,i],"float32",f)}},w0=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.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 * "+i+" + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < "+e.batchSize+"; b++) {\n for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n int xR = wR + yR * "+t+" - "+r+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n int xC = wC + yC * "+n+" - "+a+";\n\n if (xC < 0 || xC >= "+e.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 "},k0=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n const ivec2 pads = ivec2("+i+", "+o+");\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 < "+t+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+t+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+n+" - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < "+s+"; dm++) {\n int d2 = d1 * "+s+" + 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 N0={kernelName:Iy,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,l=r.dimRoundingMode,c=r.filterShape,p=kI(a.shape,c,o,s,u,l,!0),h=new w0(p);return n.runWebGLProgram(h,[a,i],"float32")}};var I0={kernelName:Sy,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,l=r.dimRoundingMode,c=kI(r.inputShape,i.shape,o,s,u,l,!0),p=new k0(c);return n.runWebGLProgram(p,[a,i],"float32")}},S0=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n "};var T0={kernelName:Ty,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=[].concat(r.shape,r.shape),i=Xv(r.shape),o=oQ({inputs:{x:r},backend:n,attrs:{shape:[i]}}),s=new S0(i),u=n.runWebGLProgram(s,[o],o.dtype),l=oQ({inputs:{x:u},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),l}},C0=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo,a=e.strideHeight,i=e.strideWidth,o=e.filterHeight,s=e.filterWidth,u=e.dilationHeight,l=e.dilationWidth,c=r.top,p=r.left;this.userCode="\n const ivec2 strides = ivec2("+a+", "+i+");\n const ivec2 pads = ivec2("+c+", "+p+");\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; 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row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+r+".0, "+n+".0);\n vec4 values = "+t.texture2D+"(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n "+t.output+" = result;\n }\n "},o1={kernelName:Bx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,u=o?[a.videoWidth,a.videoHeight]:[a.width,a.height],l=u[0],c=u[1],p=[c,l],h=[c,l,i];if(s||o){var f=Og().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");null!=Y0&&f===s1||(s1=f,Y0=document.createElement("canvas").getContext("2d",{willReadFrequently:s1})),Y0.canvas.width=l,Y0.canvas.height=c,Y0.drawImage(a,0,0,l,c),a=Y0.canvas}var d=n.makeTensorInfo(p,"int32");n.texData.get(d.dataId).usage=aY.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(d.dataId),a);var m=Og().getBool("WEBGL_PACK")?new i1(h):new a1(h),v=n.runWebGLProgram(m,[d],"int32");return n.disposeData(d.dataId),v}},s1=Og().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");var u1={kernelName:Ux,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,l=a.strides,c=a.pad,p=a.dataFormat,h=a.dilations,f=a.dimRoundingMode,d=a.activation,m=a.leakyreluAlpha,v=OI(p),g=kI(i.shape,o.shape,l,h,c,f,!1,v),y=[],b=null!=s,x=null!=u,w="leakyrelu"===d,k=function(){var e=[i,o],t=function(e,t){if("NCHW"===t&&1===e.shape.length&&1!==e.shape[0]){var n=oQ({inputs:{x:e},backend:r,attrs:{shape:[e.shape[0],1,1]}});return y.push(n),n}return e};if(b&&e.push(t(s,p)),x&&e.push(t(u,p)),w){var n=r.makeTensorInfo([],"float32",zw(m,"float32"));e.push(n),y.push(n)}return e};if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(g.strideWidth<=2&&"channelsLast"===v&&Og().getBool("WEBGL_EXP_CONV")){var N=d?QZ(d,!0):null,I=new V$(g,b,N,x,w),S=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=k();t=r.runWebGLProgram(I,T,"float32",S)}else if(Og().getBool("WEBGL_CONV_IM2COL"))t=H$({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});else{var C=d?QZ(d,!1):null,E=new B$(g,b,C,x,w),A=k();t=r.runWebGLProgram(E,A,"float32")}else t=j$({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});var R=oQ({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),R}};var l1={kernelName:Gx,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,l=r.pad,c=r.dilations,p=r.dimRoundingMode,h=r.activation,f=r.leakyreluAlpha,d=[],m=c;null==m&&(m=[1,1]),Hv(RI(u,m),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. 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n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},h1=function(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;var n=tJ(this.rank),r=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(""+n[a]);return r.join()}(e);this.userCode="\n void main() {\n "+n+" resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < "+e[2]+") ? 1.0 : 0.0;\n setOutput(inBounds * getA("+r+"));\n }\n "};function f1(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=tg(o,a.shape)[0];Og().get("DEBUG")&&function(){for(var e=n.readSync(i.dataId),t=a.shape[u],r=function(n){var r=e[n];Hv(r<=t-1&&r>=0,(function(){return"GatherV2: the index value "+r+" is not in [0, "+(t-1)+"]"}))},o=0;o<e.length;++o)r(o)}();var l=dO(a,i,u,s),c=Xv(i.shape),p=[],h=oQ({inputs:{x:a},backend:n,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=oQ({inputs:{x:i},backend:n,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(h),p.push(f);var d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var m=n.bufferSync(f),v=n.bufferSync(h),g=PJ(v,m,d);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(l.outputShape,g.dtype,g.values)}var y=new h1(h.shape,d),b=n.runWebGLProgram(y,[h,f],h.dtype);p.push(b);var x=oQ({inputs:{x:b},backend:n,attrs:{shape:l.outputShape}});return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}var d1={kernelName:Hy,backendName:"webgl",kernelFunc:f1},m1=ZZ({opSnippet:"return float(a > b);",packedOpSnippet:"\n return vec4(greaterThan(a, b));\n",cpuKernelImpl:BJ,dtype:"bool"}),v1={kernelName:Ky,backendName:"webgl",kernelFunc:m1},g1=ZZ({opSnippet:"return float(a >= 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R1={kernelName:ab,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=GJ(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},_1=JZ({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:jJ}),O1={kernelName:ib,backendName:"webgl",kernelFunc:_1},F1=JZ({opSnippet:"if (isnan(x)) return x;\n return log(1.0 + x);\n"}),D1={kernelName:ob,backendName:"webgl",kernelFunc:F1},M1=ZZ({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"}),L1={kernelName:sb,backendName:"webgl",kernelFunc:M1},z1=JZ({opSnippet:"return float(!(x >= 1.0));"}),P1={kernelName:ub,backendName:"webgl",kernelFunc:z1},B1=ZZ({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"}),W1={kernelName:lb,backendName:"webgl",kernelFunc:B1},V1=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",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 = -"+o+"; j <= "+o+"; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= "+s+") {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * "+i+";\n setOutput(val);\n }\n "},U1=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",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 < "+this.outputShape[3]+";\n bool hasNextRow = c < "+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 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getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * "+i+";\n setOutput(result);\n }\n "},G1={kernelName:pb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta,l=Og().getBool("WEBGL_PACK_NORMALIZATION")?new U1(a.shape,i,o,s,u):new V1(a.shape,i,o,s,u);return n.runWebGLProgram(l,[a],a.dtype)}},j1=function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,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\n float result = 0.0;\n for (int d = 0; d < "+this.depth+"; ++d) {\n int depthBegin = int(max(0.0, float(d - "+t+")));\n int depthEnd = int(min(float("+this.depth+"),\n float(d + "+t+" + 1)));\n\n const int MIN_DEPTH_BEGIN = 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n.runWebGLProgram(p,[a,i,o],a.dtype)}};function q1(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=tg(i,a.shape),l=u,c=zS(l,s),p=null!=c,h=n.shouldExecuteOnCPU([a]),f=a;if(p){if(h){for(var d=n.texData.get(f.dataId).values,m=new Array(s),v=0;v<m.length;v++)m[v]=a.shape[c[v]];var g=yZ(d,a.shape,a.dtype,c,m);f=n.makeTensorInfo(m,a.dtype),n.texData.get(f.dataId).values=g}else f=fQ(a,c,n);l=BS(l.length,s)}LS("max",l,s);var y,b=DS(f.shape,l),x=b[0],w=b[1],k=x;if(o&&(k=MS(x,u)),h){d=n.texData.get(f.dataId).values;var N=HJ(d,Xv(w),k,a.dtype);y=n.makeTensorInfo(k,a.dtype),n.texData.get(y.dataId).values=N}else y=function(e,t,n,r){var a=Xv(t),i=oQ({inputs:{x:e},attrs:{shape:[Xv(e.shape)/a,a]},backend:r}),o=cQ(i,e.dtype,"max",r),s=oQ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,w,k,n);return p&&n.disposeIntermediateTensorInfo(f),y}var K1={kernelName:fb,backendName:"webgl",kernelFunc:q1},X1=ZZ({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 ? 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Got strides "+o+" and dilations '1'"}));var l=xI(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Yv(l.inShape,l.outShape))return WZ({inputs:{x:a},backend:n});var c=new ZQ(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var Z1={kernelName:gb,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,l=r.dimRoundingMode,c=wI(a.shape,i,o,[1,1,1],s,l,u),p=new QQ(c,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}},Q1=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n const ivec2 pads = ivec2("+o+", "+s+");\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 < "+a+";\n wR += "+r+") {\n float dyR = float(dyRCorner + wR) / "+t+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < "+i+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+n+".0;\n\n if (dyC < 0.0 || dyC >= "+e.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 = "+u+" - 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 * "+i+" + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n "},$1=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=s-1-e.padInfo.front,p=u-1-e.padInfo.top,h=l-1-e.padInfo.left,f=s*u*l-1;this.userCode="\n const ivec3 pads = ivec3("+c+", "+p+", "+h+");\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 < "+s+";\n wD += "+a+") {\n float dyD = float(dyDCorner + wD) / "+t+".0;\n\n if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < "+u+";\n wR += "+i+") {\n float dyR = float(dyRCorner + wR) / "+n+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < "+l+";\n wC += "+o+") {\n float dyC = float(dyCCorner + wC) / "+r+".0;\n\n if (dyC < 0.0 || dyC >= "+e.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 = "+f+" -\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 * "+u+" * "+l+" +\n wR * "+l+" + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n "};var e2={kernelName:yb,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,l=r.dimRoundingMode,c=wI(i.shape,o,s,[1,1,1],u,l),p=new QQ(c,"max",!0),h=n.runWebGLProgram(p,[i],i.dtype),f=new $1(c),d=n.runWebGLProgram(f,[a,h],i.dtype);return n.disposeIntermediateTensorInfo(h),d}};var t2={kernelName:vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;zY([i,t.output],"maxPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=xI(o.shape,s,u,1,l,c),h=new ZQ(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),d=new Q1(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var n2={kernelName:bb,backendName:"webgl",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,l=r;Hv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Hv(RI(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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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:KJ}),o2={kernelName:kb,backendName:"webgl",kernelFunc:i2},s2=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=tJ(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),u="reflect"===n?0:1;this.userCode=1!==r?"\n "+a+" start = "+a+"("+i+");\n "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outC = getOutputCoords();\n for (int i = 0; i < "+r+"; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - "+u+";\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + "+u+";\n }\n }\n "+a+" coords = outC - start;\n setOutput(getX("+s+"));\n }\n ":"\n int start = "+i+";\n int end = "+o+";\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - "+u+";\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + "+u+";\n }\n setOutput(getX(outC - start));\n }\n "},u2=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=tJ(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=wZ("rc",r),u=wZ("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p="reflect"===n?0:1,h="";if(1===r){var f="\n "+a+" source = rc;\n if (source < start) {\n source = start * 2 - source - "+p+";\n } else if (source >= end) {\n source = (end - 1) * 2 - source + "+p+";\n }\n source -= start;\n ";h="\n "+a+" rc = outputLoc;\n "+f+"\n result[0] = getChannel(getX("+u.join()+"), "+c+");\n "+s[r-1]+" += 1;\n if("+l+") {\n "+f+"\n result[1] = getChannel(getX("+u.join()+"), "+c+");\n }\n "}else{var d="\n "+a+" source = rc;\n "+a+" lt = "+a+"(lessThan(source, start));\n "+a+" gte = "+a+"(greaterThanEqual(source, end));\n "+a+" orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - "+p+") +\n gte * ((end - 1) * 2 - source + "+p+");\n source -= start;\n ";h="\n "+a+" rc = outputLoc;\n "+d+"\n result[0] = getChannel(getX("+u.join()+"), "+c+");\n "+s[r-1]+" += 1;\n if("+l+") {\n "+d+"\n result[1] = getChannel(getX("+u.join()+"), "+c+");\n }\n rc = outputLoc;\n "+s[r-2]+" += 1;\n if("+s[r-2]+" < "+this.outputShape[r-2]+") {\n "+d+"\n result[2] = getChannel(getX("+u.join()+"), "+c+");\n "+s[r-1]+" += 1;\n if("+l+") {\n "+d+"\n result[3] = getChannel(getX("+u.join()+"), "+c+");\n }\n }\n "}this.userCode="\n const "+a+" start = "+a+"("+i+");\n const "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n "+h+"\n setOutput(result);\n }\n "},l2={kernelName:Nb,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=Og().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new u2(a.shape,i,o):new s2(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},c2=ZZ({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 ? 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NAN : result.a;\n\n return result;\n"}),p2={kernelName:Ib,backendName:"webgl",kernelFunc:c2},h2=function(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],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 < "+(t-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("+(t-1)+"));\n }\n "},f2=ZZ({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}),d2={kernelName:Ry,backendName:"webgl",kernelFunc:f2},m2="return a - b;",v2=ZZ({opSnippet:m2,packedOpSnippet:m2,supportsComplex:!0,cpuKernelImpl:mZ}),g2={kernelName:Cx,backendName:"webgl",kernelFunc:v2};function y2(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=tg([r.dim],a.shape),o=q1({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=MS(o.shape,i),u=oQ({inputs:{x:o},backend:n,attrs:{shape:s}}),l=v2({inputs:{a:a,b:u},backend:n}),c=z0({inputs:{x:l},backend:n}),p=dQ({inputs:{x:c},backend:n,attrs:{axis:i,keepDims:!1}}),h=oQ({inputs:{x:p},backend:n,attrs:{shape:s}}),f=f2({inputs:{a:c,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var b2={kernelName:mx,backendName:"webgl",kernelFunc:y2};var x2={kernelName:Sb,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:y2({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new h2(l,c,i),h=[[o]],f=n.runWebGLProgram(p,[u],"int32",h);return s||n.disposeIntermediateTensorInfo(u),f}};var w2={kernelName:Cb,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=YJ(i.values,a.shape,a.dtype),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=Og().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new OZ(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 EZ(a.shape,"if (isnan(x)) return x;\n return -x;\n"),r.runWebGLProgram(t,[a],a.dtype)}},k2=hA;var N2={kernelName:Ab,backendName:"webgl",kernelFunc:function(e){jx("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,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=k2(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},I2=fA;var S2={kernelName:Rb,backendName:"webgl",kernelFunc:function(e){jx("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,l=r.padToMaxOutputSize,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=I2(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},T2=dA;var C2={kernelName:_b,backendName:"webgl",kernelFunc:function(e){jx("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,l=r.softNmsSigma,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=T2(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}},E2=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float("+r+"), float("+n+"),\n float(index == coords.y)));\n }\n "},A2={kernelName:Fb,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,l=Xv(a.shape),c=new E2(l,o,s,u),p=oQ({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(c,[p],i);n.disposeIntermediateTensorInfo(p);var f=oQ({inputs:{x:h},backend:n,attrs:{shape:[].concat(a.shape,[o])}});return n.disposeIntermediateTensorInfo(h),f}};function R2(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=b$({inputs:{input:r},backend:n}),i=R2({inputs:{x:a},backend:n}),o=D$({inputs:{input:r},backend:n}),s=R2({inputs:{x:o},backend:n}),u=UZ({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return X0({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var _2={kernelName:zx,backendName:"webgl",kernelFunc:R2};var O2={kernelName:Ob,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=b$({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=D$({inputs:{input:a},backend:r}),u=R2({inputs:{x:s},backend:r}),l=UZ({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return X0({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var F2={kernelName:Db,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return B0({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){qv(a,e.shape,"All tensors passed to stack must have matching shapes"),Hv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=z$({inputs:t.map((function(e){var t=B0({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}},D2=function(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=tJ(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n "+a+" start = "+a+"("+i+");\n "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n "+a+" coords = outC - 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start;\n result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n }\n ";f+=1===r?"} ":"}}",this.userCode="\n const "+a+" start = "+a+"("+i+");\n const "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n "+f+"\n setOutput(result);\n }\n "},L2=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Xv(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return X0({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=Og().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new M2(a.shape,i,o):new D2(a.shape,i,o),l=[[o]];return n.runWebGLProgram(u,[a],a.dtype,l)},z2={kernelName:Mb,backendName:"webgl",kernelFunc:L2},P2=ZZ({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"}),B2={kernelName:Lb,backendName:"webgl",kernelFunc:P2};var W2={kernelName:Pb,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,l=[],c=tg(o,i.shape),p=c,h=zS(p,u),f=i;if(null!=h&&(f=vQ({inputs:{x:i},backend:r,attrs:{perm:h}}),p=BS(p.length,u),l.push(f)),LS("prod",p,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,m=ZJ(f.shape,f.dtype,d,p),v=m.outVals,g=m.outShape,y=m.outDtype;t=r.makeTensorInfo(g,y,v)}else{var b=DS(f.shape,p),x=b[0],w=Xv(b[1]),k=oQ({inputs:{x:f},backend:r,attrs:{shape:[-1,w]}}),N=cQ(k,hk(i.dtype),"prod",r);t=oQ({inputs:{x:N},backend:r,attrs:{shape:x}}),l.push(k),l.push(N)}if(s){l.push(t);var I=MS(t.shape,c);t=oQ({inputs:{x:t},backend:r,attrs:{shape:I}})}return l.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var V2={kernelName:Bb,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)})),l=a.map((function(e){return e.shape})),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=QJ(u,l,c,i.shape,i.dtype,p,o.shape,s),f=h[0],d=h[1],m=h[2],v=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(m,i.dtype,d);return v.concat([g])}};var U2={kernelName:Wb,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),l=$J(o,r.shape,r.dtype,s,a.shape,u,i.shape),c=l[0],p=l[1];return[n.makeTensorInfo([c.length],"int32",c),n.makeTensorInfo([p.length],r.dtype,p)]}};var G2={kernelName:Vb,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,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=eZ(l,a.shape,c,i.shape,i.dtype,p,o.shape,h,f,u),m=d[0],v=d[1];return n.makeTensorInfo(m,i.dtype,v)}},j2=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=tZ(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},H2={kernelName:Ub,backendName:"webgl",kernelFunc:j2},q2=JZ({opSnippet:"return 1.0 / x;"}),K2={kernelName:jb,backendName:"webgl",kernelFunc:q2},X2=JZ({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"}),Y2={kernelName:Hb,backendName:"webgl",kernelFunc:X2},J2=JZ({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"}),Z2={kernelName:Zb,backendName:"webgl",kernelFunc:J2},Q2=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+c[0]/p[0]+",\n "+c[1]/p[1]+");\n const vec2 inputShapeRC = vec2("+o+".0, "+s+".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 = "+l+";\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 "},$2=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n "+c[0]/p[0]+",\n "+c[1]/p[1]+",\n "+c[1]/p[1]+");\n const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n "+s+".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 = "+l+";\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 < "+(u-1)+";\n bool hasNextRow = coords.z < "+(n-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 e3={kernelName:Yb,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=r.size,u=s[0],l=s[1],c=Og().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new $2(a.shape,u,l,i,o):new Q2(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],"float32")}},t3=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n const float widthScale = float("+c+");\n\n const float invHeightScale = float("+p+");\n const float invWidthScale = float("+h+");\n\n const int winHeight = int("+f+");\n const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), "+(r-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), "+(a-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 n3={kernelName:Jb,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 t3(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},r3=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+c[0]/p[0]+",\n "+c[1]/p[1]+");\n const vec2 inputShapeRC = vec2("+o+".0, "+s+".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 = "+l+";\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n "},a3=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n "+c[0]/p[0]+",\n "+c[1]/p[1]+",\n "+c[1]/p[1]+");\n const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n "+s+".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 = "+l+";\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < "+(u-1)+";\n bool hasNextRow = coords.z < "+(n-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 i3={kernelName:Kb,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=r.size,u=s[0],l=s[1],c=Og().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new a3(a.shape,u,l,i,o):new r3(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],a.dtype)}},o3=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n const float widthScale = float("+c+");\n\n const float invHeightScale = float("+p+");\n const float invWidthScale = float("+h+");\n\n const int winHeight = int("+f+");\n const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n continue;\n }\n\n float sourceFracRow =\n float("+s[0]+") *\n (float(dyR) / float("+u[0]+"));\n\n float sourceFracCol =\n float("+s[1]+") *\n (float(dyC) / float("+u[1]+"));\n\n int sourceNearestRow = int(min(\n float(int("+r+") - 1),\n "+n+" ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int("+a+") - 1),\n "+n+" ? 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 s3={kernelName:Xb,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 o3(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},u3=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),a=tJ(n);this.userCode="\n void main() {\n "+a+" coords = getOutputCoords();\n setOutput(getX("+r+"));\n }\n "}else this.userCode="\n void main() {\n int coord = getOutputCoords();\n setOutput(getX("+e[0]+" - coord - 1));\n }\n "},l3=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=wZ("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < 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setOutput(result);\n }\n "};var c3={kernelName:Qb,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=tg(i,a.shape);if(0===o)return WZ({inputs:{x:a},backend:n});var u=Og().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new l3(a.shape,s):new u3(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},p3=function(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var n=e[1],r=e[2];this.outputShape=e;var a="";a="number"==typeof t?"float outputValue = "+t.toFixed(2)+";":"\n vec3 fill = vec3("+t.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 "+a+"\n if(coordX >= 0 && coordX < "+r+" && coordY >= 0 && coordY < "+n+") {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n "},h3={kernelName:Wx,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,l=new p3(a.shape,o),c=N_(s,a.shape[1],a.shape[2]),p=[[c[0],c[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(l,[a],a.dtype,p)}},f3=JZ({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"}),d3={kernelName:$b,backendName:"webgl",kernelFunc:f3},m3=JZ({opSnippet:"return 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t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=FE(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,f=[h/c,c];if(0===h)return n.makeTensorInfo(o,a.dtype);var d=oQ({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=oQ({inputs:{x:i},backend:n,attrs:{shape:[l,c]}}),v=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new g3(l,u,d.shape.length,m.shape.length,p,f),y=n.runWebGLProgram(g,[m,d,v],m.dtype),b=oQ({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(v),b}},b3=function(e,t,n,r){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];var a="for (int i = 0; i < "+Math.ceil(Math.log2(t+1))+"; ++i) { if (left >= right) break;",i=2===Og().getNumber("WEBGL_VERSION")?"while (left < right) {":a,o="left"===r?"<":"<=";this.userCode="\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n "+i+"\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) "+o+" 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 x3={kernelName:nx,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 b3(a.shape[0],a.shape[1],i.shape[1],o),u=[[a.shape[1]]];return n.runWebGLProgram(s,[a,i],"int32",u)}},w3=function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var 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o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=lZ(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var B3={kernelName:bx,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 "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n "+i.shape);var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=lZ(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var W3={kernelName:xx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sparseIndices,i=t.sparseValues,o=t.defaultValue,s=r.outputShape,u=FE(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.sliceSize,h=u.strides,f=u.outputSize;if("string"===i.dtype){var d=n.bufferSync(a),m=n.bufferSync(i),v=Uw(n.readSync(o.dataId)[0]),g=rZ(d,m,s,f,p,c,l,h,v,false);return n.makeTensorInfo(s,g.dtype,g.values)}var y=new g3(c,l,a.shape.length,i.shape.length,h,[f,1],false),b=n.runWebGLProgram(y,[i,a,o],i.dtype),x=oQ({inputs:{x:b},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(b),x}};var V3={kernelName:dx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=tg(r.axis,a.shape)[0],s=$_(a,i,o),u=a.shape.length,l=new Array(u).fill(0),c=a.shape.slice();return s.map((function(e){var t=[].concat(c);t[o]=e;var r=h$({inputs:{x:a},backend:n,attrs:{begin:l,size:t}});return l[o]+=e,r}))}},U3="return 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o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=fZ(o,s,r),l=u[0],c=u[1],p=u[2],h=c.length;return[n.makeTensorInfo([h,2],"int32",l),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(p))]}};var e4={kernelName:Tx,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=dZ(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},t4=JZ({opSnippet:"return tan(x);"}),n4={kernelName:Ex,backendName:"webgl",kernelFunc:t4},r4=JZ({opSnippet:"\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"}),a4=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=tJ(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet 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compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n "},s4=function(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode="\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. 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 u4(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function l4(e){for(var t=1;t<e;)t*=2;return t}var c4={kernelName:_x,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted,s=Og().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=Og().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),l=a.shape,c=l[l.length-1];if(n.shouldExecuteOnCPU([a])||c<s||i>u){var p=n.readSync(a.dataId),h=gZ(p,l,a.dtype,i,o),f=h[0],d=h[1];return[n.makeTensorInfo(f.shape,f.dtype,f.values),n.makeTensorInfo(d.shape,d.dtype,d.values)]}if(0===i)return l[l.length-1]=0,[n.makeTensorInfo(l,a.dtype,[]),n.makeTensorInfo(l,"int32",[])];if(1===c)return[a,X0({attrs:{shape:l,dtype:"int32",value:0},backend:n})];var m=n.texData.get(a.dataId),v=null!==m&&m.isPacked,g=v?n.unpackTensor(a):a,y=Xv(l)/c,b=oQ({inputs:{x:g},attrs:{shape:[y,c]},backend:n});v&&u4(n,g);for(var x=l4(i),w=l4(c),k=null,N=function(){return null===k?[b,b]:[b,k]},I=function(e,t,r){var a=N(),i=new o4(r),o=[[c],[null===k?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=k;k=n.runWebGLProgram(i,a,"int32",o),u4(n,s)},S=1;S<x;S*=2)for(var T=2*S,C=S;C>=1;C/=2)I(T,C,[y,w]);for(var E=w;E>x;E/=2){var A=N(),R=new s4([y,E/2]),_=[[c],[null===k?1:0],[x]],O=k;k=n.runWebGLProgram(R,A,"int32",_),u4(n,O);for(var F=x/2,D=2*F,M=F;M>=1;M/=2)I(D,M,k.shape)}var L=k;k=h$({inputs:{x:k},backend:n,attrs:{begin:0,size:[y,i]}}),u4(n,L);var z=f1({inputs:{x:b,indices:k},backend:n,attrs:{axis:1,batchDims:1}});u4(n,b);var P=l.slice(0,-1);P.push(i),L=k,k=oQ({inputs:{x:k},attrs:{shape:P},backend:n}),u4(n,L);var B=z;return z=oQ({inputs:{x:z},attrs:{shape:P},backend:n}),u4(n,B),[z,k]}},p4=function(e,t,n,r,a,i){this.variableNames=["Image","Transforms"],this.outputShape=i;var o,s="nearest"===n?1:2;switch(r){case"constant":default:o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4}this.userCode="\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if("+o+" == 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 ("+o+" == 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 ("+o+" == 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 < "+e+" && 0 <= coordX && coordX < "+t+") {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float("+a+");\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("+a+");\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("+t+"));\n float mapY = mapCoord(inY, float("+e+"));\n\n if ("+s+" == 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 h4={kernelName:Ox,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,l=r.outputShape,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=null!=l?l:[h,f],v=m[0],g=m[1],y=new p4(h,f,o,s,u,[p,v,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var f4={kernelName:Dx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;zY(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=bZ(o,a,i.shape,i.dtype),u=s.outputValues,l=s.outputShape,c=s.indices;return[r.makeTensorInfo(l,i.dtype,u),r.makeTensorInfo([c.length],"int32",c)]}};var d4={kernelName:Mx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],l=new Array(s-1),c=0,p=0;p<s;p++)p!==i&&(l[c++]=o.shape[p]);var h=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var m=new Array(u),v=0;v<m.length;v++){f[i]=v;var g=h$({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=oQ({inputs:{x:g},backend:n,attrs:{shape:l}});m[v]=y,h.push(g)}return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}},m4=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n sumValue += dot(values, segFilter);\n ",c="";a%n>0&&(c="\n if (inIdx < 0 || inIdx >= "+a+") {\n return initializationValue;\n }\n ");var p="";a%n>0&&(p="\n if (inIdx < 0 || inIdx >= "+a+") {\n return -1.0;\n }\n "),this.userCode="\n const float initializationValue = 0.0;\n\n float getValue(int batch, int inIdx) {\n "+c+"\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n "+p+"\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 "+i+")) * float("+n+"));\n int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < "+s+"; 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 "+l+"\n }\n\n int inIdx = inOffset + "+s+";\n if ("+(1===u)+") {\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 "+l+"\n } else if ("+(2===u)+") {\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 "+l+"\n } else if ("+(3===u)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\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 0\n );\n\n "+l+"\n }\n setOutput(sumValue);\n }\n "};for(var v4={kernelName:Lx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.segmentIds,o=r.numSegments,s=a.shape.length,u=[],l=0,c=zS([l],s),p=a;null!=c&&(p=vQ({inputs:{x:a},backend:n,attrs:{perm:c}}),u.push(p),l=BS(1,s)[0]);var h=fO(p.shape,l,o),f=Xv([p.shape[l]]),d=oQ({inputs:{x:p},backend:n,attrs:{shape:[-1,f]}});u.push(d);var m=function e(t,r,a,i,o){var s=t.shape[0],l=t.shape[1],c=hO(l,o),p=new m4({windowSize:c,inSize:l,batchSize:s,numSegments:o},r),h=n.compileAndRun(p,[t,a],i);if(u.push(h),h.shape[1]===o)return 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