From cc3bdd1b0a5e48d3512df5c048418dffd31935de Mon Sep 17 00:00:00 2001
From: Pierre HUBERT <pierre.git@communiquons.org>
Date: Sat, 30 Jan 2021 19:13:21 +0100
Subject: [PATCH] Start to blur video background

---
 .../tensorflow-models/body-pix-2.0.js         | 18 ++++++
 assets/3rdparty/tfjs/tfjs-1.2.min.js          |  3 +
 assets/js/components/calls/window.js          | 57 +++++++++++++++++++
 system/config/dev.config.php                  |  6 +-
 4 files changed, 83 insertions(+), 1 deletion(-)
 create mode 100644 assets/3rdparty/tensorflow-models/body-pix-2.0.js
 create mode 100644 assets/3rdparty/tfjs/tfjs-1.2.min.js

diff --git a/assets/3rdparty/tensorflow-models/body-pix-2.0.js b/assets/3rdparty/tensorflow-models/body-pix-2.0.js
new file mode 100644
index 00000000..fdc628b5
--- /dev/null
+++ b/assets/3rdparty/tensorflow-models/body-pix-2.0.js
@@ -0,0 +1,18 @@
+/**
+    * @license
+    * Copyright 2020 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.
+    * =============================================================================
+    */
+!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports,require("@tensorflow/tfjs-core"),require("@tensorflow/tfjs-converter")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-core","@tensorflow/tfjs-converter"],e):e(t.bodyPix={},t.tf,t.tf)}(this,function(t,e,n){"use strict";var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}var i=function(){return(i=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var o in e=arguments[n])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t}).apply(this,arguments)};function a(t,e,n,r){return new(n||(n=Promise))(function(o,i){function a(t){try{u(r.next(t))}catch(t){i(t)}}function 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dt={flipHorizontal:!1,internalResolution:"medium",segmentationThreshold:.7,maxDetections:10,scoreThreshold:.4,nmsRadius:20},ft={flipHorizontal:!1,internalResolution:"medium",segmentationThreshold:.7,maxDetections:10,scoreThreshold:.4,nmsRadius:20,minKeypointScore:.3,refineSteps:10};function lt(t){var e=t.segmentationThreshold,n=t.maxDetections,r=t.scoreThreshold,o=t.nmsRadius;if(e<0||e>1)throw new Error("segmentationThreshold "+e+". 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e=this.baseModel.predict(t);return{segmentLogits:e.segmentation,longOffsets:e.longOffsets,heatmapScores:e.heatmapScores,offsets:e.offsets,displacementFwd:e.displacementFwd,displacementBwd:e.displacementBwd,partHeatmaps:e.partHeatmaps}},t.prototype.segmentPersonActivation=function(t,n,r){var o=this;void 0===r&&(r=.5);var i=Q(t),a=i[0],s=i[1],u=Z(n,this.baseModel.outputStride,[a,s]),f=tt(t,u),l=f.resized,c=f.padding,h=e.tidy(function(){var t=o.predictForPersonSegmentation(l),e=t.segmentLogits,n=t.heatmapScores,i=t.offsets,u=t.displacementFwd,f=t.displacementBwd,h=l.shape,p=h[0],m=h[1];return{segmentation:d($(e,[a,s],[p,m],[[c.top,c.bottom],[c.left,c.right]],!0).squeeze(),r),heatmapScores:n,offsets:i,displacementFwd:u,displacementBwd:f}}),p=h.segmentation,m=h.heatmapScores,g=h.offsets,v=h.displacementFwd,w=h.displacementBwd;return 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b=s.sent(),x=b[0],S=b[1],M=b[2],k=b[3],_=rt(_=C(x,S,M,k,this.baseModel.outputStride,n.maxDetections,n.scoreThreshold,n.nmsRadius),[o,a],u,c,!1),[4,E(p,m,_,o,a,this.baseModel.outputStride,u,c,n.scoreThreshold,n.refineSteps,n.minKeypointScore,n.maxDetections)];case 2:return P=s.sent(),l.dispose(),p.dispose(),m.dispose(),g.dispose(),v.dispose(),w.dispose(),y.dispose(),[2,P]}})})},t.prototype.segmentPersonPartsActivation=function(t,n,r){var o=this;void 0===r&&(r=.5);var i=Q(t),a=i[0],s=i[1],f=Z(n,this.baseModel.outputStride,[a,s]),l=tt(t,f),c=l.resized,h=l.padding,p=e.tidy(function(){var t=o.predictForPersonSegmentationAndPart(c),n=t.segmentLogits,i=t.partHeatmapLogits,f=t.heatmapScores,l=t.offsets,p=t.displacementFwd,m=t.displacementBwd,g=c.shape,v=g[0],w=g[1],y=$(n,[a,s],[v,w],[[h.top,h.bottom],[h.left,h.right]],!0),b=$(i,[a,s],[v,w],[[h.top,h.bottom],[h.left,h.right]],!0);return{partSegmentation:function(t,n){var r=n.shape,o=r[0],i=r[1],a=r[2];return e.tidy(function(){var r,s,d=u(n),f=e.range(0,a,1,"int32").expandDims(1),l=d.matMul(f).toInt().reshape([o,i]).add(e.scalar(1,"int32"));return(r=l,s=t,r.mul(s)).sub(e.scalar(1,"int32"))})}(d(y.squeeze(),r),b),heatmapScores:f,offsets:l,displacementFwd:p,displacementBwd:m}}),m=p.partSegmentation,g=p.heatmapScores,v=p.offsets,w=p.displacementFwd,y=p.displacementBwd;return c.dispose(),{partSegmentation:m,heatmapScores:g,offsets:v,displacementFwd:w,displacementBwd:y,padding:h,internalResolutionHeightAndWidth:f}},t.prototype.segmentPersonParts=function(t,e){return void 0===e&&(e=dt),a(this,void 0,void 0,function(){var n,r,o,a,u,d,f,l,c,h,p,m,g,v,w,y,b,x;return s(this,function(s){switch(s.label){case 0:return lt(e=i({},dt,e)),n=this.segmentPersonPartsActivation(t,e.internalResolution,e.segmentationThreshold),r=n.partSegmentation,o=n.heatmapScores,a=n.offsets,u=n.displacementFwd,d=n.displacementBwd,f=n.padding,l=n.internalResolutionHeightAndWidth,c=r.shape,h=c[0],p=c[1],[4,r.data()];case 1:return m=s.sent(),r.dispose(),[4,et([o,a,u,d])];case 2:return g=s.sent(),v=g[0],w=g[1],y=g[2],b=g[3],x=rt(x=C(v,w,y,b,this.baseModel.outputStride,e.maxDetections,e.scoreThreshold,e.nmsRadius),[h,p],l,f,!1),o.dispose(),a.dispose(),u.dispose(),d.dispose(),[2,{height:h,width:p,data:m,allPoses:x}]}})})},t.prototype.segmentMultiPersonParts=function(t,n){return void 0===n&&(n=ft),a(this,void 0,void 0,function(){var r,o,a,f,l,c,h,p,m,g,v,w,y,b,x,S,M,k,_,E,O,I,A=this;return s(this,function(s){switch(s.label){case 0:return ct(n=i({},ft,n)),r=Q(t),o=r[0],a=r[1],f=Z(n.internalResolution,this.baseModel.outputStride,[o,a]),l=tt(t,f),c=l.resized,h=l.padding,p=e.tidy(function(){var t=A.predictForMultiPersonInstanceSegmentationAndPart(c),r=t.segmentLogits,i=t.longOffsets,s=t.heatmapScores,l=t.offsets,p=t.displacementFwd,m=t.displacementBwd,g=t.partHeatmaps,v=$(r,[o,a],f,[[h.top,h.bottom],[h.left,h.right]],!0),w=$(g,[o,a],f,[[h.top,h.bottom],[h.left,h.right]],!0),y=i;return{segmentation:d(v.squeeze(),n.segmentationThreshold),longOffsets:y,heatmapScoresRaw:s,offsetsRaw:l,displacementFwdRaw:p,displacementBwdRaw:m,partSegmentation:function(t){var n=t.shape,r=n[0],o=n[1],i=n[2];return e.tidy(function(){var n=u(t),a=e.range(0,i,1,"int32").expandDims(1);return n.matMul(a).toInt().reshape([r,o])})}(w)}}),m=p.segmentation,g=p.longOffsets,v=p.heatmapScoresRaw,w=p.offsetsRaw,y=p.displacementFwdRaw,b=p.displacementBwdRaw,x=p.partSegmentation,[4,et([v,w,y,b])];case 1:return 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+//# sourceMappingURL=body-pix.min.js.map
diff --git a/assets/3rdparty/tfjs/tfjs-1.2.min.js b/assets/3rdparty/tfjs/tfjs-1.2.min.js
new file mode 100644
index 00000000..31bba284
--- /dev/null
+++ b/assets/3rdparty/tfjs/tfjs-1.2.min.js
@@ -0,0 +1,3 @@
+// @tensorflow/tfjs Copyright 2019 Google
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this.throwIfDisposed(),at.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),at.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),at.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),at.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),at.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),at.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),at.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),at.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),at.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),at.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),at.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),at.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),at.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),at.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),at.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),at.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),at.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),at.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),at.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),at.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),at.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),at.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,i,a){return void 0===r&&(r="NWC"),void 0===i&&(i=1),this.throwIfDisposed(),at.conv1d(this,t,e,n,r,i,a)},t.prototype.conv2d=function(t,e,n,r,i,a){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),at.conv2d(this,t,e,n,r,i,a)},t.prototype.conv2dTranspose=function(t,e,n,r,i){return this.throwIfDisposed(),at.conv2dTranspose(this,t,e,n,r,i)},t.prototype.depthwiseConv2D=function(t,e,n,r,i,a){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),at.depthwiseConv2d(this,t,e,n,r,i,a)},t.prototype.separableConv2d=function(t,e,n,r,i,a){return void 0===i&&(i=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),at.separableConv2d(this,t,e,n,r,i,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),at.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),at.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),at.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,i){return this.throwIfDisposed(),at.pool(this,t,e,n,r,i)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),ut.variable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),at.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),at.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),at.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),at.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,i,a,o,s){return void 0===r&&(r=0),void 0===i&&(i=0),void 0===a&&(a=0),void 0===o&&(o=0),void 0===s&&(s=0),this.throwIfDisposed(),at.stridedSlice(this,t,e,n,r,i,a,o,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),at.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),at.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),at.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),at.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),at.spectral.irfft(this)},t}();Object.defineProperty(st,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var ut=function(t){function e(e,n,r){void 0===n&&(n=!0);var i=t.call(this,e.shape,e.dtype,null,e.dataId)||this;i.trainable=n,i.name=r,null==i.name&&(i.name=it().nextVariableId().toString());try{it().registerVariable(i)}catch(t){throw it().disposeTensor(i),t}return i}return n(e,t),e.variable=function(t,n,r,i){return void 0===n&&(n=!0),null!=i&&i!==t.dtype&&(t=t.asType(i)),new e(t,n,r)},e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!g(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");it().disposeTensor(this),this.dataId=t.dataId,it().registerTensor(this)},e.prototype.dispose=function(){it().disposeVariable(this),this.isDisposedInternal=!0},e}(st);Object.defineProperty(ut,Symbol.hasInstance,{value:function(t){return t instanceof st&&null!=t.assign&&t.assign instanceof Function}});var lt,ct,pt,ht,ft=ut.variable;!function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(t.Rank||(t.Rank={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(lt||(lt={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(ct||(ct={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(pt||(pt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(ht||(ht={}));var dt={float32:pt,int32:lt,bool:ct,complex64:ht};function mt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return dt[t][e]}function gt(t){return mt(t,"int32")}function vt(t,e){if(t.dtype===e.dtype)return[t,e];var n=mt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function yt(t,e){p(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function bt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof st)n.push(e);else if(i=e,Array.isArray(i)||"object"==typeof i){var i,a=e;for(var o in a){var s=a[o];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}var xt,wt=Object.freeze({makeTypesMatch:vt,assertTypesMatch:yt,isTensorInList:function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},getTensorsInContainer:bt}),Ct=function(){function t(){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.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Nt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ct}return t.prototype.ready=function(){return r(this,void 0,void 0,function(){var t,e,n;return i(this,function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then(function(){})];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return r(this,void 0,void 0,function(){var e,n,r;return i(this,function(i){switch(i.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[t],this.profiler=new X(this.backendInstance),[2,!0]}})})},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,a=r.then(function(n){return!(i<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))}).catch(function(n){return!(i<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))});return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority})},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),i=r.success,a=r.asyncInit;if(a||i)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){this.write(t,e,this.readSync(e))},t.prototype.tidy=function(t,e){var n,r=this,i=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=t}return this.scopedRun(function(){return r.startScope(i)},function(){return r.endScope(n)},function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n})},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=st.make(t.shape,{dataId:t.dataId},t.dtype);return this.addTapeNode([t],e,function(t){return[t.toFloat()]}),e},t.prototype.runKernel=function(t,e,n){var r,i=this,a=[],o=this.isTapeOn(),s=null!=this.state.activeScope?this.state.activeScope.name:"",u=function(t){o&&(a=t.map(function(t){return i.keep(i.clone(t))}))},l=this.state.numBytes,c=this.state.numTensors;if(this.scopedRun(function(){return i.state.kernelDepth++},function(){return i.state.kernelDepth--},function(){r=i.ENV.getBool("DEBUG")?i.profiler.profileKernel(s,e,function(){return t(i.backend,u)}):t(i.backend,u)}),o){var p={id:this.state.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r],saved:a};null!=n&&(p.gradient=function(t){return n(t,a)}),this.state.activeTape.push(p)}return this.state.profiling&&this.state.activeProfile.kernels.push({name:s,bytesAdded:this.state.numBytes-l,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-c,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*D(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:null!=e?e:this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r,null!=e?e.register(t.dataId,t.shape,t.dtype):this.backend.register(t.dataId,t.shape,t.dtype)}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof ut||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.state.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.state.registeredVariables[t.name]=t},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return r(this,void 0,void 0,function(){var e,n;return i(this,function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]})})},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n){var r={};t.forEach(function(t,e){r[e]=t});var i={id:this.state.nextTapeNodeId++,name:this.state.activeScope.name,inputs:r,outputs:[e],gradient:function(t){var e={};return n(t).forEach(function(t,n){e[n]=function(){return t}}),e}};this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=bt(t),r=new Set(n.map(function(t){return t.id})),i=0;i<this.state.activeScope.track.length;i++){var a=this.state.activeScope.track[i];a.kept||r.has(a.id)||a.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(t){t.kept||t.scopeId!==o.id||e.track(t)})},t.prototype.gradients=function(t,e,n,r){var i=this;if(void 0===r&&(r=!1),p(e.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 a=this.scopedRun(function(){return i.startTape()},function(){return i.endTape()},function(){return i.tidy("forward",t)});p(a instanceof st,function(){return"The result y returned by f() must be a tensor."});var o=function(t,e,n){for(var r={},i={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var o=(d=t[a]).inputs;for(var s in o){for(var u=o[s],l=!1,c=0;c<e.length;c++)if(r[u.id]){d.outputs.forEach(function(t){return r[t.id]=!0}),l=!0,i[d.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var h={};for(a=t.length-1;a>=0;a--)for(o=(d=t[a]).inputs,c=0;c<d.outputs.length;c++)if(p[d.outputs[c].id]){for(var s in o)p[o[s].id]=!0,h[d.id]=!0;break}var f=[];for(a=0;a<t.length;a++){var d;if(i[(d=t[a]).id]&&h[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},d);v.inputs=m,v.outputs=d.outputs,f.push(v)}}return f}(this.state.activeTape,e,a);if(!r&&0===o.length&&e.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 t,r,s={};s[a.id]=null==n?(r=U(m(t=a.shape),"float32"),st.make(t,{values:r})):n,function(t,e,n){for(var r=function(r){var i=e[r],a=[];if(i.outputs.forEach(function(e){var n=t[e.id];if(null!=n)a.push(n);else{var r=st.make(e.shape,{values:j(e.size,e.dtype)},e.dtype);a.push(r)}}),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.name+".");var o=i.gradient(1===i.outputs.length?a[0]:a),s=function(e){if(!(e in o))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(o)+".");var r=n(function(){return o[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+i.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=i.inputs[e];if(!g(r.shape,a.shape))throw new Error("Error in gradient for op "+i.name+". 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vi(t,e,n,r){var i=[];t.forEach(function(t){var e=m(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?i.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(i.push("uniform sampler2D "+t.name+";"),i.push("uniform int offset"+t.name+";"))});var a,o,s=i.join("\n"),u=t.map(function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?function t(e){var n,r,i;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=fi(),"\n    vec4 "+r+"() {\n      return "+i.texture2D+"("+n+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=fi();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(e);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,a=i[0],o=i[1],s=fi();if(null!=i&&g(e,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+l+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===n[0]){var s=n.slice(1),u=Si(e,s);return"\n        "+t(u)+"\n        vec4 "+i+"(int b, int row, int col) {\n          return "+i+"("+ki(["b","row","col"],[1,2])+");\n        }\n      "}var l=o[0],c=o[1],p=Math.ceil(n[2]/2),h=p*Math.ceil(n[1]/2),f=fi();return"\n    vec4 "+i+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+l+", "+c+", "+h+", "+p+", b, row, col);\n      return "+f.texture2D+"("+r+", uv);\n    }\n  "}(e);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=o[0],u=o[1],l=Math.ceil(e[n-1]/2),c=l*Math.ceil(e[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,c*=e[n-f-1],h="b"+f+" * "+c+" + "+h;var d=fi();return"\n    vec4 "+i+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(e)}}(t):function t(e){var n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,i=r[0],a=r[1];if(1===i&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=t.shapeInfo.texShape,s=o[0],u=o[1],l=Ci(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+l+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+Ni(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,i=r[0],a=r[1];if(1===a&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=Ci(e);return 1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+i+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+a+", index + "+o+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 2:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape;if(null!=a&&g(n,a)){var o=a[0],s=a[1];return"\n    float "+i+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+s+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var u=E(n),l=u.newShape,c=u.keptDims,p=l;if(p.length<n.length){var h=Si(e,p);return"\n      "+t(h)+"\n      float "+i+"(int row, int col) {\n        return "+i+"("+ki(["row","col"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+Ni(e)+"\n      }\n    ";var f=a[0],d=a[1],m=Ci(r);return 1===d?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+i+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+m+";\n    vec2 uv = uvFromFlat("+f+", "+d+", index);\n    return sampleTexture("+r+", uv);\n  }\n"}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[1]*n[2],o=n[2],s=E(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=Si(e,c);return"\n        "+t(p)+"\n        float "+i+"(int row, int col, int depth) {\n          return "+i+"("+ki(["row","col","depth"],l)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+o+", 1)));\n        "+Ni(e)+"\n      }\n    ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===a&&null==m)return"\n        float "+i+"(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"\n    float "+i+"(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 g=Ci(r);return"\n      float "+i+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+o+" + depth + "+g+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+r+", uv);\n      }\n  "}(e);case 4:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[3],o=n[2]*a,s=n[1]*o,u=E(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=Si(e,l);return"\n      "+t(p)+"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        return "+i+"("+ki(["row","col","depth","depth2"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+a+", 1)));\n        "+Ni(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 "+i+"(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+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+i+"(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 g=Ci(r);return"\n    float "+i+"(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 * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+m+", index + "+g+");\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 5:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[4],o=n[3]*a,s=n[2]*o,u=n[1]*s,l=E(n),c=l.newShape,p=l.keptDims;if(c.length<n.length){var h=Si(e,c);return"\n      "+t(h)+"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+i+"("+ki(["row","col","depth","depth2","depth3"],p)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+o+", "+a+")) +\n          depth3;\n        "+Ni(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],g=d[1];if(g===u&&null==f)return"\n      float "+i+"(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("+s+", "+o+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(g===a&&null==f)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]+",\n               "+n[2]*n[3]+", "+n[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var v=Ci(r);return"\n    float "+i+"(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 * "+u+" + col * "+s+" + depth * "+o+" +\n          depth2 * "+a+" + depth3 + "+v+";\n      vec2 uv = uvFromFlat("+m+", "+g+", index);\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 6:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=E(n),o=a.newShape,s=a.keptDims;if(o.length<n.length){var u=Si(e,o);return"\n      "+t(u)+"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+i+"("+ki(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var l=n[5],c=n[4]*l,p=n[3]*c,h=n[2]*p,f=n[1]*h;if(e.shapeInfo.isUniform)return"\n      float "+i+"(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("+f+", "+h+", "+p+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+l+", 1)));\n        "+Ni(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];if(v===f&&null==d)return"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+p+", "+c+", "+l+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(v===l&&null==d)return"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]*n[4]+",\n               "+n[2]*n[3]*n[4]+",\n               "+n[3]*n[4]+",\n               "+n[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var y=Ci(r);return"\n    float "+i+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+h+" + depth * "+p+" +\n          depth2 * "+c+" + depth3 * "+l+" + depth4 + "+y+";\n      vec2 uv = uvFromFlat("+g+", "+v+", index);\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(t);var i=t.shapeInfo.logicalShape,a=e.logicalShape;return i.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,i=r.charAt(0).toUpperCase()+r.slice(1),a="get"+i+"AtOutCoords",o=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=_r(t.shapeInfo.logicalShape,e.logicalShape),l=Ei(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+c]+" = 0;"}).join("\n");var h;h=s<2&&o>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+c]}).join(", ");var f="return outputValue;",d=1===m(t.shapeInfo.logicalShape),g=1===m(e.logicalShape);if(1!==o||d||g){if(d&&!g)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var v=o-2,y=o-1;u.indexOf(v)>-1&&u.indexOf(y)>-1?f="return vec4(outputValue.x);":u.indexOf(v)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(y)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+h+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=e.texShape,o=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&g(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=Ei(u),c=_r(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&c.length>=1?"coords = 0;":c.map(function(t){return"coords."+h[t+p]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+h[e+p]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),l=e.texShape,c=fi(),p="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+c.texture2D+"(textureSampler, uv).r;\n    }\n  ",h=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+yi+"\n    "+bi+"\n    "+xi+"\n  "}(c);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(g(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(a=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+i[0]+", "+i[1]+"));\n      int index = resTexRC.x * "+i[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2),a=i,o="",s="b, r, c",u=2;u<t.length-1;u++)o="\n      int b"+u+" = index / "+(a*=t[t.length-u-1])+";\n      index -= b"+u+" * "+a+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,i,a,o}(e.logicalShape,l),o="\n    void setOutput(vec4 val) {\n      "+c.output+" = val;\n    }\n  "):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return g(t,e)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ":1===t[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===t[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=di(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=di(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=di(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=di(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,l),o="\n    void setOutput(float val) {\n      "+c.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(h+=wi),[h,p,o,s,a,u,n].join("\n")}var yi="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",bi="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",xi="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",wi="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function Ci(t){return"offset"+t}function Ni(t){var e=t.name,n=m(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function Ei(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function Si(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function ki(t,e){return e.map(function(e){return t[e]}).join(", ")}var Ii=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,p(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var i=t[t.length-1],a=Math.ceil(i/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=Ei(l),h=hi("coords",l);if(1===a){var f=Ei(s=l+1);o="\n        "+f+" sourceLocR = "+f+"("+h.join()+", 0);\n        ++"+h[l-1]+";\n        "+f+" sourceLocG = "+f+"("+h.join()+", 0);\n        ++"+h[l-2]+";\n        "+f+" sourceLocA = "+f+"("+h.join()+", 0);\n        --"+h[l-1]+";\n        "+f+" sourceLocB = "+f+"("+h.join()+", 0);\n        --"+h[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+h[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+h[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+h[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+h[l-2]+";";var d=["x","y","z","w","u","v"].slice(0,s),m="."+d[s-1],g=d.map(function(t){return"int "+t}),v=hi("sourceLocR",s-1).concat("inIdx.r"),y=hi("sourceLocG",s-1).concat("inIdx.g"),b=hi("sourceLocB",s-1).concat("inIdx.b"),x=hi("sourceLocA",s-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",C=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",N="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+y.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",E=r?"":"\n      float getBestIndicesAChannel("+g.join()+") {\n        return getChannel(getBestIndicesA("+d.join()+"),\n                                          vec2("+d.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+g.join()+") {\n        return getChannel(getA("+d.join()+"),\n                               vec2("+d.slice(-2).join()+"));\n      }\n      "+E+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+h[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+h[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+m+", sourceLocG"+m+",\n          sourceLocB"+m+", sourceLocA"+m+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+N+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+C+"\n          vec4 candidate = "+N+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+w+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},Ai=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,a=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=s-1-t.padInfo.top,c=u-1-t.padInfo.left,p=1/(e*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 += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.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) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ri=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=c-1-t.padInfo.front,d=p-1-t.padInfo.top,m=h-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+g+");\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) / "+i+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.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) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.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 >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ti=function(t,e,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],zr(t,e),zr(t,n);var o="0.0";null!=r&&(zr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(zr(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,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("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Di=function(t,e,n,r,i,a){this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],zr(t,e),zr(t,n);var o="vec4(0.0)";null!=r&&(zr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(zr(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,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("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},Oi=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=zr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},_i="return a + b;",Fi="return a - b;",zi="return a * b;",Mi="return (a < 0.) ? b * a : a;",Li=function(t,e,n){this.variableNames=["A","B"],this.outputShape=zr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Pi="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Bi=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.outputShape=zr(e,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===m(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+Ei(i)+" coords = getOutputCoords();\n        ",1===i)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=hi("coords",i);a+="\n            bool nextRowOutOfBounds =\n              ("+o[i-2]+" + 1) >= "+this.outputShape[i-2]+";\n            bool nextColOutOfBounds =\n              ("+o[i-1]+" + 1) >= "+this.outputShape[i-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},Wi=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Vi=function(){function t(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ui=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},ji=function(t){this.outputShape=[],this.outputShape=Je(t,1),this.variableNames=t.map(function(t,e){return"T"+e});var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var i=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var a=e.length,o=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+o+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Gi=function(t,e){this.usesPackedTextures=!0,this.outputShape=[],this.outputShape=Je(t,e);var n=this.outputShape,r=n.length,i=Ei(r),a=hi("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var l=o[e],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        if ("+l+" < "+s[u]+"  && "+l+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+qi(o,l,f)+"),\n            vec2("+qi(c,l,f)+"));\n        }"}var d=s.length,m=s[s.length-1];h+="\n        return getChannel(\n          getT"+d+"("+qi(o,l,m)+"),\n          vec2("+qi(c,l,m)+"));",this.userCode="\n      float getValue("+o.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function qi(t,e,n){var r=t.indexOf(e);return t.map(function(t,e){return e===r?t+" - "+n:t}).join()}var Hi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\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    "},Ki=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,a="channelsLast"===t.dataFormat,o=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,l=a?2:3,c=a?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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.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 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\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    "},$i=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.padInfo.front,a=t.padInfo.top,o=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+i+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Xi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,l=r-1-t.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 < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.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 >= "+t.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 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Yi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ji=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,a=e-1-t.padInfo.top,o=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.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    "},Zi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var i=t.padInfo.top,a=t.padInfo.left,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,h=4*Math.floor(t.inChannels/4),f=t.inChannels%4,d="channelsLast"===t.dataFormat,m=d?1:2,g=d?2:3,v=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+i+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+v+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], 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 < "+c+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+l+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+h+"; 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 ("+d+") {\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===f)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+h+") *\n                    getW(wR, wC, "+h+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+h+", xR, xC) *\n                    getW(wR, wC, "+h+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2),\n                getW(wR, wC, "+h+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1),\n                  getX(batch, xR, xC, "+h+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC),\n                  getX(batch, "+h+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},Qi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterDepth,p=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+e+", "+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 >= "+t.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 >= "+t.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 >= "+t.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    "},ta=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var i=t.inHeight,a=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,f=t.filterWidth,d=t.outChannels/t.inChannels,m="",g="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var v=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\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 / "+d+";\n        int q = d2 - d1 * "+d+";\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 < "+h+"; wR++) {\n          int xR = xRCorner + wR * "+c+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+p+";\n\n            if (xC < 0 || xC >= "+a+") {\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        "+v+"\n        "+g+"\n        setOutput(result);\n      }\n    "},ea=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var i=t.inHeight,a=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,p=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,m=d,g="int xR; int xC; int xCOffset;",v=0;v<f;v++)for(var y=0;y<d;y++)g+="\n          vec4 xTexelR"+v+"C"+2*y+" = vec4(0.);\n          vec4 wR"+v+"C"+y+" = vec4(0.);\n          vec4 xR"+v+"C"+y+" = vec4(0.);";for(v=0;v<f;v++)for(var b=0;b<m;b++){if(g+="\n          xR = xRCorner + "+v*p+";\n          xC = xCCorner + "+(y=2*b)*h+";\n        ",1===c){if(y<d&&(g+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+v+"C"+y+" = vec4(previous.zw, xTexelR"+v+"C"+y+".xy);\n                } else {\n                  xR"+v+"C"+y+" = vec4(0, 0, xTexelR"+v+"C"+y+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+i+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = xTexelR"+v+"C"+y+";\n              ",y+1<d)){var x=s%2==0?l(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(g+="\n                  xCOffset = xC + "+s%2+" + "+x+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(g+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+i+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+v+"C"+y+" = vec4(0.);\n                    }\n                  "),g+="\n                  xR"+v+"C"+(y+1)+" = vec4(\n                    xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".xy);\n                "):g+="\n                  xCOffset = xC + "+x+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+v+"C"+(y+1)+" = xTexelR"+v+"C"+(y+2)+";\n                "}}else y<d&&(g+="\n              if(xR >= 0 && xR < "+i+") {\n            ",s%2==1?(g+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+v+"C"+(y+2)+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = vec4(\n                  xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".zw);\n              ",y+1<d&&(g+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+v+"C"+(y+1)+" = vec4(xTexelR"+v+"C"+(y+2)+".xy, final.xy);\n                ")):(g+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+(y+2)+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = vec4(\n                  xTexelR"+v+"C"+y+".xy, xTexelR"+v+"C"+(y+2)+".xy);\n              ",y+1<d&&(g+="\n                  xR"+v+"C"+(y+1)+" = vec4(\n                    xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".zw);\n                ")),g+="}");y<d&&(g+="\n            vec4 wTexelR"+v+"C"+y+" = getW("+v+", "+y+", d1, q);\n            wR"+v+"C"+y+" = vec4(wTexelR"+v+"C"+y+".xz, wTexelR"+v+"C"+y+".xz);\n          ",y+1<d&&(g+="\n              vec4 wTexelR"+v+"C"+(y+1)+" = getW("+v+", "+(y+1)+", d1, q);\n              wR"+v+"C"+(y+1)+" =\n                vec4(wTexelR"+v+"C"+(y+1)+".xz, wTexelR"+v+"C"+(y+1)+".xz);"))}for(v=0;v<f;v++)for(y=0;y<d;y++)g+="dotProd += xR"+v+"C"+y+" * wR"+v+"C"+y+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var N=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\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;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+g+"\n\n        vec4 result = dotProd;\n        "+N+"\n        "+C+"\n        setOutput(result);\n      }\n    "},na=function(t,e,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],o=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[o-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],x=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],C=x[1],N=x[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+w+");\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 >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+N+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\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    "},ra=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,i=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+i+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+Ei(r)+" coords = getOutputCoords();\n        int end = "+ia(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+i+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+ia(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function ia(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var aa=function(t,e){this.variableNames=["A"];var n=fi();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+di(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},oa=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;var n=fi();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+di(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},sa=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,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 / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),ua=function(t){this.variableNames=["X"],this.outputShape=[t,t],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    "},la=function(t){this.variableNames=["A"];var e=fi();this.outputShape=t,this.userCode="\n      "+gi+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},ca=function(t){this.variableNames=["A"],this.usesPackedTextures=!0;var e=fi();this.outputShape=t,this.userCode="\n      "+gi+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},pa=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=fi(),i=e[0],a=e[1];this.outputShape=t;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+mi(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},ha=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=fi(),i=e[0],a=e[1];this.outputShape=t;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var l=0;l<=1;l++){var c=2*u+l;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+l+" < "+t[2]+") {\n            localCoords[2] += "+l+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n    \n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+c+"] = values[0];\n              } else if(offset == 1) {\n                result["+c+"] = values[1];\n              } else if(offset == 2) {\n                result["+c+"] = values[2];\n              } else {\n                result["+c+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+mi(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n        \n        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},fa=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},da=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),ma=function(t){this.variableNames=["A"];var e=fi(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},ga=function(t){this.variableNames=["A"];var e=fi(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.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        "+e.output+" = result;\n      }\n    "},va=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=Ei(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],a=0;a<t.length;a++)a===e?i.push("int(getIndices("+r[a]+"))"):i.push(""+r[a]);return i.join()}(t,n);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},ya=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=Ei(e.length),i=Ei(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+i+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function ba(t,e){var n=fi();return Gt(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function xa(t,e){return Zt(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function wa(t,e){return Qt(t,e,new Uint16Array([0,1,2,2,1,3]))}function Ca(t,e,n,r,i,a,o){ee(n,r);var s=te(t,e),u=t.TEXTURE_2D;return Pt(t,e,function(){return t.bindTexture(u,s)}),Pt(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),Pt(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),Pt(t,e,function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)}),Pt(t,e,function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)}),Pt(t,e,function(){return t.texImage2D(u,0,i,n,r,0,a,o,null)}),Pt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)}),s}function Na(t,e,n,r,i){var a=Ft(n,r);return Ca(t,e,a[0],a[1],i.internalFormatFloat,i.textureFormatFloat,t.FLOAT)}function Ea(t,e,n,r,i){var a=Ft(n,r);return Ca(t,e,a[0],a[1],i.internalFormatHalfFloat,i.textureFormatFloat,i.textureTypeHalfFloat)}function Sa(t,e,n,r,i){var a=Ft(n,r);return Ca(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function ka(t,e,n,r,i){var a=Mt(n,r);return Ca(t,e,a[0],a[1],i.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function Ia(t,e,n,r,i){var a=Mt(n,r);return Ca(t,e,a[0],a[1],i.internalFormatPackedHalfFloat,t.RGBA,i.textureTypeHalfFloat)}function Aa(t,e,n,r){return Pt(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),re(t,e,n,"clipSpacePos",r,3,20,0)&&re(t,e,n,"uv",r,2,20,12)}function Ra(t,e,n,r,i,a,o){var s,u,l;Pt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),a instanceof Uint8Array?(s=new Uint8Array(r*i*4),u=t.UNSIGNED_BYTE,l=t.RGBA):(s=new Float32Array(r*i*4),u=t.FLOAT,l=o.internalFormatPackedFloat),s.set(a),Pt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,l,r,i,0,t.RGBA,u,s)}),Pt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function Ta(t,e,n,r){Pt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),r.data instanceof Uint8Array?Pt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)}):Pt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)}),Pt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function Da(t,e,n,r,i){var a=t.createBuffer();Pt(t,e,function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,a)});var 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Ma=Object.freeze({createVertexShader:ba,createVertexBuffer:xa,createIndexBuffer:wa,createFloat32MatrixTexture:Na,createFloat16MatrixTexture:Ea,createUnsignedBytesMatrixTexture:Sa,createPackedMatrixTexture:ka,createFloat16PackedMatrixTexture:Ia,bindVertexProgramAttributeStreams:Aa,uploadDenseMatrixToTexture:Ra,uploadPixelDataToTexture:Ta,createBufferFromOutputTexture:Da,downloadFloat32MatrixFromBuffer:Oa,downloadByteEncodedFloatMatrixFromOutputTexture:_a,downloadPackedMatrixFromBuffer:Fa,downloadMatrixFromPackedOutputTexture:za}),La=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=o().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,Dt(e,t)):this.gl=Ot(e),1===o().getNumber("WEBGL_VERSION"))this.textureFloatExtension=jt(this.gl,this.debug,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),this.textureHalfFloatExtension=jt(this.gl,this.debug,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float");else if(Ne(this.gl,"EXT_color_buffer_float"))this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float");else{if(!Ne(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=xa(this.gl,this.debug),this.indexBuffer=wa(this.gl,this.debug),this.framebuffer=ne(this.gl,this.debug),this.textureConfig=Lt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return o().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;Pt(e,this.debug,function(){return e.finish()}),Pt(e,this.debug,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),Pt(e,this.debug,function(){return e.deleteFramebuffer(t.framebuffer)}),Pt(e,this.debug,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),Pt(e,this.debug,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),Pt(e,this.debug,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),Na(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Ea(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Sa(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Ta(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),Ra(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Ia(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ka(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(le(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Pt(this.gl,this.debug,function(){return e.gl.deleteTexture(t)})},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return _a(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,a){return Fa(this.gl,t,0,0,0,i,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Oa(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Da(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(o().getBool("WEBGL_FENCE_API_ENABLED")){var i=t,a=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=i.clientWaitSync(a,0,0);return t===i.ALREADY_SIGNALED||t===i.CONDITION_SATISFIED},e=a}else o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return za(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=qt(e,this.debug,t),r=ba(e,this.debug),i=Xt(e,this.debug);return Pt(e,this.debug,function(){return e.attachShader(i,r)}),Pt(e,this.debug,function(){return e.attachShader(i,n)}),Yt(e,this.debug,i),this.debug&&Jt(e,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=Aa(e,this.debug,this.program,this.vertexBuffer)),i},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Pt(this.gl,this.debug,function(){return e.gl.deleteProgram(t)})},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&Jt(this.gl,this.debug,this.program),Pt(this.gl,this.debug,function(){return e.gl.useProgram(t)})},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?ae(this.gl,this.debug,t,e):oe(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Pt(this.gl,this.debug,function(){return n.gl.getAttribLocation(t,e)})},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),se(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=Mt(e,n),i=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,i,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&Jt(this.gl,this.debug,this.program),ce(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Pt(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Pt(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=jt(this.gl,this.debug,2===o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},t.prototype.endQuery=function(){if(2!==o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return r(this,void 0,void 0,function(){var e=this;return i(this,function(n){switch(n.label){case 0:return[4,w(function(){return e.disposed||e.isQueryAvailable(t,o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||w(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),ue(this.gl,this.debug,t,this.framebuffer),this.debug&&ce(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(ue(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&ce(this.gl)):le(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;ue(r,this.debug,t,this.framebuffer),this.debug&&ce(r),this.outputTexture=t,Pt(r,this.debug,function(){return r.viewport(0,0,e,n)}),Pt(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),Pt(this.gl,this.debug,function(){return i.gl.scissor(t,e,n,r)})},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function Pa(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach(function(t,n){var r=t.logicalShape,i=e[n],a=i.shape;if(!g(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!i.isUniform){var o=t.texShape,s=i.isUniform?null:i.texData.texShape;if(!g(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Ba=function(t,e,n){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=n.dataFormat,h=s.left,f=s.top,d=i*r,m=fi(),g="channelsLast"===p,v=g?0:1,y=g?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+f+";\n            d0 = offsetY + "+c+" * (pos / "+d+");\n\n            if(d0 < "+e[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+h+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+d+".) / "+i+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+i+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},Wa=function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[];var a,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+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 * "+a+";\n        setOutput(val);\n      }\n    "},Va=function(t,e,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ua=function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.usesPackedTextures=!0;var a,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+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        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},ja=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,i=t.effectiveFilterHeight,a=t.effectiveFilterWidth,o=i-1-t.padInfo.top,s=a-1-t.padInfo.left,u=i*a-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 < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+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 * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ga=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=s-1-t.padInfo.front,p=u-1-t.padInfo.top,h=l-1-t.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 += "+i+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.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 >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+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    "},qa=function(t,e,n,r,i,a,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===a&&(a=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),l=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",d="";a&&(f=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",d="result = activation(result);");var m=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+l+");\n          vec4 b = getMatrixB(rc.x, "+c+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+p[0]+" * "+h[0]+");\n          result += ("+p[1]+" * "+h[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},Ha=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\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 < "+(e-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("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),Ka=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],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    "},$a=function(t){this.variableNames=["A"],this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=hi("rc",e),r=Ei(e),i=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",i=t-2;i<t;i++)r+=n[i]+" >= "+e[i],i<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),o=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var a=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),o=2;o<t;o++)a=e[e.length-1-o]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}},Xa=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});var r=t.length,i=Ei(r),a=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+a+");\n      "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Ya=function(t,e,n){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=Ei(r),a=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=hi("rc",r),u=hi("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+a+");\n      const "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},Ja=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var h="avg"===e,f="0.0";if(h||(f="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+a+");\n        const ivec2 pads = ivec2("+c+", "+p+");\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 < "+u+";\n              wR += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+a+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float initializationValue = "+f+";\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 >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+f+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+v+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+v+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Za=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=t.padInfo.front,d=t.padInfo.top,m=t.padInfo.left;this.outputShape=t.outShape;var g="avg"===e,v="0.0";if(g||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+a+", "+o+");\n        const ivec3 pads = ivec3("+f+", "+d+", "+m+");\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 < "+c+";\n              wD += "+s+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+p+";\n                wR += "+u+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+h+";\n                  wC += "+l+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition =\n                      wD * "+p+" * "+h+" +\n                      wR * "+h+" + wC;;\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var b=4*Math.floor(r/4),x=r%4,w="\n      if ("+g+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float initializationValue = "+v+";\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 >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+";\n            wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.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, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+l+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+l+", ch)\n              );\n\n              "+w+"\n            }\n\n            int xC = xCCorner + "+b+";\n            if ("+(1===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(2===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(3===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+l+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+y+");\n        }\n      }\n    "}},Qa=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,i=t.inSize,a=Math.ceil(i/n);this.outputShape=[r,a];var o="0.0",s="";"prod"===e?o="1.0":"min"===e?(o="1.0 / 1e-20",s="min"):"max"===e&&(o="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\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      }\n    ",h="vec4";"all"===e?(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"===e&&(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="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\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    "},to=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>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["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+di(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+mi(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "},eo=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],a=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?i-1:i,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+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("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\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 >= "+s+") {\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 >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(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    "},no=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".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 = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\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    "},ro=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+",\n          "+u[1]/l[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+o+".0,\n                                     "+o+".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 = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\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 < "+(s-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    "},io=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],a=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?i-1:i,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+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("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\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 >= "+s+") {\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 >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 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    "},ao=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".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 = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},oo=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map(function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),i=Ei(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},so=function(t,e){this.variableNames=["x"],this.usesPackedTextures=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=hi("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=Ei(n);function s(n){var r=t.map(function(r,i){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(i,n)});return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+i+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+s(r.slice())+";\n          if("+i+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+i+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},uo=function(t,e,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=Ei(i.length),u=Ei(a.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},lo=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,i=t.inSize,a=t.numSegments,o=a*Math.ceil(i/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";i%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var p="";i%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+i+") {\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          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\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    "},co=function(t,e,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&o.push(""+a[u]);r=o.join(),i=s.join()}var l=Ei(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},po=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=Ei(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return ho.slice(0,t).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map(function(t,e){return"sourceLoc."+ho[e]+" = start["+e+"] + coords."+ho[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+i+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),ho=["x","y","z","w","u","v"],fo=function(){function t(t){this.variableNames=["source"],this.usesPackedTextures=!0,this.outputShape=t,this.rank=t.length;var e=Ei(this.rank),n=hi("coords",this.rank),r=hi("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+i+")",o="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map(function(t,e){return"start["+e+"]"}).join()+");":t.map(function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"}).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+" \n        vec4 result = vec4(0.);\n        "+o+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),mo=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,i=Ei(n.length),a=Ei(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map(function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"}).join(",")}this.userCode="\n      "+i+" begin = "+i+"("+t+");\n      "+i+" strides = "+i+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},go=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,i=vo(e,n),a=yo(t,i,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}return this.numUsedTextures++,this.log(),i===At.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===At.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===At.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===At.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===At.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var i=yo(e,vo(n,r),r);i in this.freeTextures||(this.freeTextures[i]=[]),this.freeTextures[i].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[i],o=a.indexOf(t);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(o,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function vo(t,e){if(t===It.UPLOAD)return At.PACKED_2X2_FLOAT32;if(t===It.RENDER||null==t)return function(t){return o().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?At.PACKED_2X2_FLOAT32:At.UNPACKED_FLOAT32:t?At.PACKED_2X2_FLOAT16:At.UNPACKED_FLOAT16}(e);if(t===It.DOWNLOAD||t===It.PIXELS)return At.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function yo(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var bo=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var i=Ei(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<t.length;i++)r.push("imod("+n[i]+", "+t[i]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},xo=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var i=Ei(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),i=0;i<t.length;i++)r[t[i]]=n[i];return r.join()}(e);this.userCode="\n    void main() {\n      "+i+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "},wo=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var i=Ei(this.rank),a=pi("rc",this.rank),o=new Array(this.rank);for(r=0;r<e.length;r++)o[e[r]]=a[r];var s="vec2("+o.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+u+") {\n        result[1] = "+l+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+l+";\n        if("+u+") {\n          result[3] = "+l+";\n        }\n      }  \n      setOutput(result);\n    }\n    "},Co=1.7580993408473768,No=1.0507009873554805,Eo=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},So="if (isnan(x)) return x;",ko="return x;",Io="return abs(x);",Ao=So+"\n  return (x < 0.0) ? 0.0 : x;\n",Ro=So+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",To="return (x >= 0.0) ? x : (exp(x) - 1.0);",Do="return -x;",Oo="return ceil(x);",_o="return floor(x);",Fo="return exp(x);",zo="return exp(x) - 1.0;",Mo="return x;",Lo="return x;",Po="\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",Bo="\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",Wo="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Vo=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Uo=function(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;var e=t.length,n=hi("rc",e),r=Ei(e),i=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),o=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+i+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},jo={};function Go(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Lo:ko;if("relu"===t)return e?Po:Ao;if("elu"===t)return e?Wo:To;if("relu6"===t)return e?Bo:Ro;if("prelu"===t)return e?Pi:Mi;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var qo=600,Ho=function(){function t(t){if(this.gpgpu=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.disposed=!1,!o().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==t){var e=Ot(o().getNumber("WEBGL_VERSION"));this.binaryCache=(n=o().getNumber("WEBGL_VERSION"))in jo?jo[n]:(jo[n]={},jo[n]),this.gpgpu=new La(e),this.canvas=e.canvas,this.gpgpuCreatedLocally=!0}else this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=t.gl.canvas;var n;this.textureManager=new go(this.gpgpu),this.numMBBeforeWarning=null==o().global.screen?1024:o().global.screen.height*o().global.screen.width*window.devicePixelRatio*qo/1024/1024,this.texData=new Dr(this,Et)}return t.prototype.register=function(t,e,n){if(this.texData.has(t))throw new Error("Data buffer is already registered");this.texData.set(t,{shape:e,dtype:n})},t.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n="undefined"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas||"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement,r=t.data instanceof Uint8Array,i="undefined"!=typeof ImageData&&t instanceof ImageData,a="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement,u=a?[t.videoWidth,t.videoHeight]:[t.width,t.height],l=u[0],c=u[1],p=[c,l],h=[c,l,e];if(!(n||r||i||a||s))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);(s||a)&&(null==this.fromPixels2DContext&&(this.fromPixels2DContext=_t(o().getNumber("WEBGL_VERSION")).getContext("2d")),this.fromPixels2DContext.canvas.width=l,this.fromPixels2DContext.canvas.height=c,this.fromPixels2DContext.drawImage(t,0,0,l,c),t=this.fromPixels2DContext.canvas);var f,d,m=this.makeTensorHandle(p,"int32");if(this.texData.get(m.dataId).usage=It.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(m.dataId),t),o().getBool("WEBGL_PACK")){f=new ga(h);var g=this.makePackedTensor(f.outputShape,m.dtype);d=this.compileAndRun(f,[m],g)}else f=new ma(h),d=this.compileAndRun(f,[m]);return this.disposeData(m.dataId),d},t.prototype.makeTensorHandle=function(t,e){var n={};return this.register(n,t,e),{dataId:n,shape:t,dtype:e}},t.prototype.write=function(t,e){if(null==e)throw new Error("MathBackendWebGL.write(): values can not be null");if(o().getBool("DEBUG"))for(var n=0;n<e.length;n++){var r=e[n];if(!Vt(r)){if(o().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+r+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+r+" cannot be represented on this device.")}}var i=this.texData.get(t);if("complex64"===i.dtype)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.releaseGPUData(t),i.usage=It.UPLOAD,i.values=e},t.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,i=e.complexTensors,a=e.slice,o=e.shape,s=e.isPacked;if(null!=a){var u;u=s?new Vo(o,Mo):new Eo(o,Mo);var l=this.compileAndRun(u,[{dataId:t,shape:o,dtype:r}]),c=this.readSync(l.dataId);return l.dispose(),c}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var p,h,f=null!=this.activeTimers;return f&&(p=G()),h="complex64"===r?Zr(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),f&&(this.downloadWaitMs+=G()-p),this.convertAndCacheOnCPU(t,h)},t.prototype.read=function(t){return r(this,void 0,void 0,function(){var e,n,r,a,s,u,l,c,p,h,f,d,g,v,y,b,x,w,C,N,E,S;return i(this,function(i){switch(i.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise(function(t){return e.push(t)})];if(n=this.texData.get(t),r=n.values,a=n.shape,s=n.slice,u=n.dtype,l=n.complexTensors,c=n.isPacked,null!=s)return p=void 0,p=c?new Vo(a,Mo):new Eo(a,Mo),h=this.compileAndRun(p,[{dataId:t,shape:a,dtype:u}]),f=this.read(h.dataId),h.dispose(),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!o().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===o().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return d=null,"complex64"!==u&&o().get("WEBGL_BUFFER_SUPPORTED")&&(g=this.decode(t),v=this.texData.get(g.dataId),d=(S=this.gpgpu).createBufferFromTexture.apply(S,[v.texture].concat(zt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:i.sent(),i.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([l.real.data(),l.imag.data()])];case 3:return b=i.sent(),x=b[0],w=b[1],y=Zr(x,w),[3,5];case 4:null==d?y=this.getValuesFromTexture(t):(C=m(a),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,C)),i.label=5;case 5:return null!=g&&this.disposeData(g.dataId),N=this.convertAndCacheOnCPU(t,y),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach(function(t){return t(N)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)),[2,N]}})})},t.prototype.getValuesFromTexture=function(t){var e,n=this,r=this.texData.get(t),i=r.shape,a=r.dtype,s=r.isPacked,u=m(i);if(o().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var l=this.decode(t),c=this.texData.get(l.dataId),p=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(zt(i))).subarray(0,u);return this.disposeData(l.dataId),p}var h=o().getBool("WEBGL_PACK")&&!0===s,f=h?ge(i):i,d=this.makeTensorHandle(f,"float32");d.size=m(i),this.texData.get(d.dataId).usage=It.DOWNLOAD;var g=_e(function(){var e=h?new ca(f):new la(f);return n.compileAndRun(e,[{shape:f,dtype:a,dataId:t}],d,null)}),v=this.texData.get(g.dataId),y=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,u);return this.disposeData(d.dataId),y},t.prototype.time=function(t){return r(this,void 0,void 0,function(){var e,n,r,a,o,s,u;return i(this,function(i){switch(i.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=d(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),o=d(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),[4,Promise.all(a)];case 1:return s=i.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:c(s),getExtraProfileInfo:function(){return s.map(function(t,e){return{name:o[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:G(),endMs:null}},t.prototype.endTimer=function(t){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=G(),t)},t.prototype.getQueryTime=function(t){return r(this,void 0,void 0,function(){var e;return i(this,function(n){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},t.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t))if(this.pendingRead.has(t))this.pendingDisposal.add(t);else if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}},t.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,i=e.texShape,a=e.usage,o=e.isPacked,s=e.slice,u=s&&s.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},t.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},t.prototype.getDataInfo=function(t){return this.texData.get(t)},t.prototype.getCPUBackend=function(){return o().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Et.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every(function(t){return null==n.texData.get(t.dataId).texture&&t.size<e})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(t,e){var n=this.makeOutputArray(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Et.keep(t.clone()),imag:Et.keep(e.clone())},n},t.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},t.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},t.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===m(n))return nn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,i=Er(t.shape,e,n);if(r||!i){var a=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fo(n):new po(n),s=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,s)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},t.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=st.make(n,{},t.dtype,this),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var o=Sr(e,t.strides);r.slice&&(o+=r.slice.flatOffset),a.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var i=wr(e,n,r);if(i.some(function(t){return 0===t}))return nn([],i);var a=new mo(e,r,i);return this.compileAndRun(a,[t])},t.prototype.reverse=function(t,e){var n=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new so(t.shape,e):new oo(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map(function(t){return tn(t)}),r=t.map(function(t){return en(t)});return Qe(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>o().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(t.length/2),a=this.concat(t.slice(0,i),e),s=this.concat(t.slice(i),e);return this.concat([a,s],e)}if(o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new Gi(t.map(function(t){return t.shape}),e);return this.compileAndRun(u,t)}var l=Je(t.map(function(t){return t.shape}),e),c=t.map(function(t){return t.as2D(-1,m(t.shape.slice(e)))}),p=new ji(c.map(function(t){return t.shape}));return this.compileAndRun(p,c).reshape(l)},t.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Do,t.dtype);var e=new Eo(t.shape,Do);return this.compileAndRun(e,[t])},t.prototype.batchMatMul=function(t,e,n,r){var i=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],o=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===i||1===a)&&o>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===a?t:t.as3D(s,o,1),l=1===a?2:1,c=1===a?e.as3D(s,1,o):e;return this.multiply(u,c).sum(l,!0)}var p=mt(t.dtype,e.dtype),h=new qa(t.shape,[s,i,a],n,r),f=this.makePackedTensor(h.outputShape,p);return this.compileAndRun(h,[t,e],f)},t.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,i=t.transposeB,a=t.bias,o=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],l=i?n.shape[1]:n.shape[2],c=e.shape[0],p=mt(e.dtype,n.dtype),h=null!=a,f=null!=s,d=o?Go(o,!0):null,m=new qa(e.shape,[c,u,l],r,i,h,d,f),g=this.makePackedTensor(m.outputShape,p),v=[e,n];return a&&v.push(a),s&&v.push(s),this.compileAndRun(m,v,g)},t.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new Oi("return areal * breal - aimag * bimag;",t.shape,e.shape),a=new Oi("return areal * bimag + aimag * breal;",t.shape,e.shape),s=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag),this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],u=this.compileAndRun(i,s),l=this.compileAndRun(a,s),c=this.complex(u,l);return u.dispose(),l.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,zi,t.dtype);var p=new Li(zi,t.shape,e.shape),h=this.makeOutputArray(p.outputShape,t.dtype);return this.compileAndRun(p,[t,e],h)},t.prototype.batchNormalization=function(t,e,n,r,i,a){var s=[t,e,n],u=null;null!=a&&(u=a.shape,s.push(a));var l=null;if(null!=i&&(l=i.shape,s.push(i)),o().getBool("WEBGL_PACK_NORMALIZATION")){var c=new Di(t.shape,e.shape,n.shape,u,l,r);return this.compileAndRun(c,s)}var p=new Ti(t.shape,e.shape,n.shape,u,l,r);return this.compileAndRun(p,s)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){var a=o().getBool("WEBGL_PACK_NORMALIZATION")?new Ua(t.shape,e,n,r,i):new Wa(t.shape,e,n,r,i);return this.compileAndRun(a,[t])},t.prototype.LRNGrad=function(t,e,n,r,i,a,o){var s=new Va(e.shape,r,i,a,o);return this.compileAndRun(s,[e,n,t])},t.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map(function(t){return K(t)});return ai(Ln(t.shape,t.dtype,n),e)}var r=new bo(t.shape,e);return this.compileAndRun(r,[t])},t.prototype.pad=function(t,e,n){var r=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ya(t.shape,e,n):new Xa(t.shape,e,n);return this.compileAndRun(r,[t])},t.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new wo(t.shape,e):new xo(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new va(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},t.prototype.batchToSpaceND=function(t,e,n){p(t.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=pr(t.shape,e,r),a=hr(i.length,e.length),o=fr(t.shape,e,r),s=dr(n,e.length),u=mr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){p(t.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var a=1+e.length;a<t.shape.length;++a)i.push([0,0]);var o=t.pad(i),s=pr(o.shape,e,r,!1),u=hr(s.length,e.length,!1),l=fr(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},t.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],a=yr(i),o=new Qa({windowSize:a,inSize:i,batchSize:r},e),s=o.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(o,[t],c),1===c.shape[1]?c:this.reduce(c,e,n)},t.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],i=t.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var a=yr(i),o=new ci({windowSize:a,inSize:i,batchSize:r},e,null==n),s=o.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],"int32"),p=[t];return null!=n&&p.push(n),this.compileAndRun(o,p,c),1===c.shape[1]?c:this.argReduce(t,e,c)},t.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=yr(r[r.length-1]),a=new Ii(r,i,e,null==n),o=this.makePackedTensor(a.outputShape,"int32"),s=null==n?[t]:[t,n];return this.compileAndRun(a,s,o),o.rank===t.rank?this.argReducePacked(t,e,o):o},t.prototype.sum=function(t,e){He("sum",e,t.rank);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i),o=gt(t.dtype);return this.reduce(a,"sum",o).reshape(r)},t.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i),o=gt(t.dtype);return this.reduce(a,"prod",o).reshape(r)},t.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=Ke([r],t.rank),a=t;null!=i&&(a=t.transpose(i),r=Xe(1,t.rank)[0]);var o=function(t,e,n){for(var r=[],i=t.length,a=0;a<i;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=m([a.shape[r]]),u=a.as2D(-1,s),l=gt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(o);return null!=i&&(c=c.transpose($e(i))),c},t.prototype.segOpCompute=function(t,e,n,r,i){var a=t.shape[0],o=t.shape[1],s=function(t,e){var n,r=!1;for(t<=vr?(n=t,r=!0):n=P(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=P(t,n+1);return n}(o,i),u=new lo({windowSize:s,inSize:o,batchSize:a,numSegments:i},e),l=u.outputShape,c=l[0],p=l[1],h=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[t,n],h),h.shape[1]===i?h:(n=gn(0,i).tile([o/s]),this.segOpCompute(h,e,n,r,i))},t.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(He("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!o().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var i=Ge(t.shape,r),a=i[0],s=m(i[1]),u=t.as2D(-1,s);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},t.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},t.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},t.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var i=new ra(t.shape,n,r);return this.compileAndRun(i,[t])},t.prototype.equal=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Li("return float(a == b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.notEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Li("return float(a != b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Li("return float(a < b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.lessEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Li("return float(a <= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Li("return float(a > b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greaterEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Li("return float(a >= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalNot=function(t){var e=new Eo(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},t.prototype.logicalAnd=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Li("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalOr=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Li("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.select=function(t,e,n){var r=new co(t.rank,e.shape,e.rank),i=this.makeOutputArray(r.outputShape,mt(e.dtype,n.dtype));return this.compileAndRun(r,[t,e,n],i)},t.prototype.where=function(t){Le("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return si(t.shape,e)},t.prototype.topk=function(t,e,n){return oi(t.dataSync(),t.shape,t.dtype,e)},t.prototype.min=function(t,e){He("min",e,t.rank);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},t.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.mod=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);He("max",e,t.rank);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},t.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.all=function(t,e){He("all",e,t.rank);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},t.prototype.any=function(t,e){He("any",e,t.rank);var n=Ge(t.shape,e),r=n[0],i=m(n[1]),a=t.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},t.prototype.squaredDifference=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("return (a - b) * (a - b);",t.shape,e.shape):new Li("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.realDivide=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\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","float32",!0);var n=new Li("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t,e],r)},t.prototype.floorDiv=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Li("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[t,e],r)},t.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,_i);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=mt(t.dtype,e.dtype);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,_i,n);var r=new Li(_i,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.packedUnaryOp=function(t,e,n){var r=new Vo(t.shape,e),i=this.makePackedTensor(r.outputShape,n);return this.compileAndRun(r,[t],i)},t.prototype.packedBinaryOp=function(t,e,n,r,i){void 0===i&&(i=!1);var a=new Bi(n,t.shape,e.shape,i),o=this.makePackedTensor(a.outputShape,r);return this.compileAndRun(a,[t,e],o)},t.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,i=this.texData.get(t.dataId),a=this.texData.get(e.dataId),o=[[i.complexTensors.real,a.complexTensors.real],[i.complexTensors.imag,a.complexTensors.imag]].map(function(i){var a=i[0],o=i[1],s=r.makeComplexComponentTensorHandle(t,a),u=r.makeComplexComponentTensorHandle(e,o),l=new Li(n,t.shape,e.shape),c=r.makeOutputArray(l.outputShape,mt(a.dtype,o.dtype));return r.compileAndRun(l,[s,u],c)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},t.prototype.makeComplexComponentTensorHandle=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},t.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>o().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var i=t.map(function(t){return t.dtype}).reduce(function(t,e){return mt(t,e)}),a=t.map(function(t){return t.shape}),s=o().getBool("WEBGL_PACK"),u=s?new li(t[0].shape,a):new ui(t[0].shape,a),l=s?this.makePackedTensor(u.outputShape,i):this.makeOutputArray(u.outputShape,i);return this.compileAndRun(u,t,l)},t.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Fi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=mt(t.dtype,e.dtype);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Fi,t.dtype);var r=new Li(Fi,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.pow=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS"),r=n?new Bi("\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  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),i=mt(t.dtype,e.dtype),a=n?this.makePackedTensor(r.outputShape,i):this.makeOutputArray(r.outputShape,i);return this.compileAndRun(r,[t,e],a)},t.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Oo,t.dtype);var e=new Eo(t.shape,Oo);return this.compileAndRun(e,[t])},t.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,_o,t.dtype);var e=new Eo(t.shape,_o);return this.compileAndRun(e,[t])},t.prototype.sign=function(t){var e=new Eo(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},t.prototype.isNaN=function(t){var e=new Eo(t.shape,"return float(isnan(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.isInf=function(t){var e=new Eo(t.shape,"return float(isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.isFinite=function(t){var e=new Eo(t.shape,"return float(!isnan(x) && !isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.round=function(t){var e=new Eo(t.shape,"\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");return this.compileAndRun(e,[t])},t.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Fo,t.dtype);var e=new Eo(t.shape,Fo);return this.compileAndRun(e,[t])},t.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,zo,t.dtype);var e=new Eo(t.shape,zo);return this.compileAndRun(e,[t])},t.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new Eo(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},t.prototype.log1p=function(t){var e=new Eo(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},t.prototype.sqrt=function(t){var e=new Eo(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},t.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new Eo(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},t.prototype.square=function(t){var e=new Eo(t.shape,"return x * x;");return this.compileAndRun(e,[t])},t.prototype.reciprocal=function(t){var e=new Eo(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},t.prototype.relu=function(t){var e;return e=o().getBool("WEBGL_PACK")?new Vo(t.shape,Po):new Eo(t.shape,Ao),this.compileAndRun(e,[t])},t.prototype.relu6=function(t){var e;return e=o().getBool("WEBGL_PACK")?new Vo(t.shape,Bo):new Eo(t.shape,Ro),this.compileAndRun(e,[t])},t.prototype.prelu=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi(Pi,t.shape,e.shape):new Li(Mi,t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.elu=function(t){if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Wo,t.dtype);var e=new Eo(t.shape,To);return this.compileAndRun(e,[t])},t.prototype.eluDer=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Li("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.selu=function(t){var e=new Eo(t.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(e,[t])},t.prototype.int=function(t){var e=new Eo(t.shape,"return float(int(x));"),n=this.makeOutputArray(e.outputShape,"int32");return this.compileAndRun(e,[t],n)},t.prototype.clip=function(t,e,n){var r,i=(r=o().getBool("WEBGL_PACK_CLIP")?new Vi(t.shape):new Wi(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},t.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Io,t.dtype);var e=new Eo(t.shape,Io);return this.compileAndRun(e,[t])},t.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Ui(t.shape),r=[this.makeComplexComponentTensorHandle(t,e.complexTensors.real),this.makeComplexComponentTensorHandle(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(t){var e=new Eo(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},t.prototype.softplus=function(t){var e=new Eo(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},t.prototype.sin=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},t.prototype.cos=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},t.prototype.tan=function(t){var e=new Eo(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},t.prototype.asin=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(e,[t])},t.prototype.acos=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(e,[t])},t.prototype.atan=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},t.prototype.atan2=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? 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NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.sinh=function(t){var e=new Eo(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.cosh=function(t){var e=new Eo(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.tanh=function(t){var e=new Eo(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},t.prototype.asinh=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},t.prototype.acosh=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(e,[t])},t.prototype.atanh=function(t){var e=new Eo(t.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(e,[t])},t.prototype.erf=function(t){var e=new Eo(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},t.prototype.step=function(t,e){var n=new Eo(t.shape,function(t){return void 0===t&&(t=0),So+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},t.prototype.conv2dByMatMul=function(t,e,n,r,i,a){var s=t.shape,u=this.texData.get(t.dataId),l=n.inChannels,c=s[0]*s[1]*s[2],h=n.outChannels,f="channelsLast"===n.dataFormat,d=(1===c||1===h)&&l>1e3,m=s[2]%2!=0&&!!u.isPacked;if(d||!o().getBool("WEBGL_LAZILY_UNPACK")||!o().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!m){var g=f?s[0]*s[1]*s[2]:s[0]*s[2]*s[3],v=this.reshape(t,[1,g,n.inChannels]),y=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:v,b:y,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),n.outShape)}var b=f?s[0]*s[1]*(s[2]+1):s[0]*s[2]*(s[3]+1),x=st.make([1,b,n.inChannels],{dataId:t.dataId},t.dtype,this),w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,p(be(u.shape,x.shape),function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"});var C=this.reshape(e,[1,n.inChannels,n.outChannels]),N=this.fusedBatchMatMul({a:x,b:C,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),E=this.texData.get(N.dataId);return p(E.isPacked,function(){return"batchMatMul result is expected to be packed"}),u.shape=w,E.shape=n.outShape,st.make(n.outShape,{dataId:N.dataId},N.dtype,this)},t.prototype.conv2dWithIm2Row=function(t,e,n,r,i,a){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,l=n.outWidth,c=n.outHeight,p="channelsLast"===n.dataFormat,h=o*s*u,f=c*l,d=[h,f],m=t.squeeze([0]),g=e.reshape([1,h,-1]),v=new Ba(d,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=a,w=i?Go(i,!0):null,C=new qa(y.shape,[1,f,n.outChannels],!0,!1,b,w,x),N=[y,g];r&&N.push(r),x&&N.push(a);var E=this.compileAndRun(C,N);return p?E.reshape([1,c,l,n.outChannels]):E.reshape([1,n.outChannels,c,l])},t.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,i=t.bias,a=t.activation,s=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,i,a,s);if(o().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,i,a,s);var u=null!=i,l=null!=s,c=a?Go(a,!1):null,p=new Zi(r,u,c,l),h=[e,n];return i&&h.push(i),s&&h.push(s),this.compileAndRun(p,h)},t.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(o().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Zi(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerInput=function(t,e,n){var r=new Ki(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerFilter=function(t,e,n){var r=new Hi(n);return this.compileAndRun(r,[t,e])},t.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,i=t.convInfo,a=t.bias,s=t.activation,u=t.preluActivationWeights,l=o().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels==1,c=s?Go(s,l):null,p=[n,r],h=null!=a,f=null!=u;return h&&p.push(a),f&&p.push(u),l?(e=new ea(i,h,c,f),this.compileAndRun(e,p,this.makePackedTensor(i.outShape,n.dtype))):(e=new ta(i,h,c,f),this.compileAndRun(e,p))},t.prototype.depthwiseConv2D=function(t,e,n){var r;return o().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new ea(n),this.compileAndRun(r,[t,e],this.makePackedTensor(n.outShape,t.dtype))):(r=new ta(n),this.compileAndRun(r,[t,e]))},t.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Ji(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Yi(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3d=function(t,e,n){var r=new Qi(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerInput=function(t,e,n){var r=new Xi(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerFilter=function(t,e,n){var r=new $i(n);return this.compileAndRun(r,[t,e])},t.prototype.maxPool=function(t,e){var n=new Ja(e,"max",!1),r=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[t],r)},t.prototype.avgPool=function(t,e){var n=new Ja(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.maxPoolBackprop=function(t,e,n,r){var i=new Ja(r,"max",!0),a=this.compileAndRun(i,[e]),o=new ja(r),s=this.makeOutputArray(o.outputShape,e.dtype),u=this.compileAndRun(o,[t,a],s);return a.dispose(),u},t.prototype.avgPoolBackprop=function(t,e,n){var r=new Ai(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},t.prototype.cast=function(t,e){return $r(t,e,this)},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,a=0;a<t.rank;a++)a!==e&&(r[i++]=t.shape[a]);var o=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)o[e]=a,u[a]=this.slice(t,o,s).reshape(r);return u},t.prototype.avgPool3d=function(t,e){var n=new Za(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.avgPool3dBackprop=function(t,e,n){var r=new Ri(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},t.prototype.maxPool3d=function(t,e){var n=new Za(e,"max",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.maxPool3dBackprop=function(t,e,n,r){var i=new Za(r,"max",!0),a=this.compileAndRun(i,[e]),o=new Ga(r),s=this.makeOutputArray(o.outputShape,e.dtype),u=this.compileAndRun(o,[t,a],s);return a.dispose(),u},t.prototype.reshape=function(t,e){var 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a.toTensor()},t.prototype.stridedSlice=function(t,e,n,r){this.assertNotComplex(t,"stridedSlice");var i=wr(e,n,r);if(i.some(function(t){return 0===t}))return nn([],i);for(var a=Ln(i,t.dtype),o=this.bufferSync(t),s=0;s<a.size;s++){for(var u=a.indexToLoc(s),l=new Array(u.length),c=0;c<l.length;c++)l[c]=u[c]*r[c]+e[c];a.set.apply(a,[o.get.apply(o,l)].concat(u))}return a.toTensor()},t.prototype.diag=function(t){for(var e=this.readSync(t.dataId),n=Ln([t.size,t.size],t.dtype),r=n.values,i=0;i<e.length;i++)r[i*t.size+i]=e[i];return n.toTensor()},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,a=0;a<t.rank;a++)a!==e&&(r[i++]=t.shape[a]);var o=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)o[e]=a,u[a]=this.slice(t,o,s).reshape(r);return u},t.prototype.reverse=function(t,e){this.assertNotComplex(t,"reverse");for(var n=Ln(t.shape,t.dtype),r=this.bufferSync(t),i=function(i){var a=n.indexToLoc(i),o=a.slice();e.forEach(function(e){return o[e]=t.shape[e]-1-o[e]}),n.set.apply(n,[r.get.apply(r,o)].concat(a))},a=0;a<n.size;a++)i(a);return n.toTensor()},t.prototype.concat=function(t,e){var n=this;if("complex64"===t[0].dtype){var r=t.map(function(t){return tn(t)}),i=t.map(function(t){return en(t)});return Qe(this.concat(r,e),this.concat(i,e))}var a=t.map(function(t){var n=m(t.shape.slice(e));return t.as2D(-1,n)}),o=Je(a.map(function(t){return t.shape}),1),s=Ln(o,t[0].dtype).values;if(1===a[0].shape[0]){var u=0;a.forEach(function(t){s.set(n.readSync(t.dataId),u),u+=t.size})}else{var l=0;a.forEach(function(t){for(var e=n.readSync(t.dataId),r=0,i=0;i<t.shape[0];++i)for(var a=i*o[1]+l,u=0;u<t.shape[1];++u)s[a+u]=e[r++];l+=t.shape[1]})}var c=Je(t.map(function(t){return t.shape}),e);return nn(s,c,t[0].dtype)},t.prototype.neg=function(t){return this.assertNotComplex(t,"neg"),this.multiply(an(-1),t)},t.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t+n,imag:e+r}}):this.broadcastedBinaryOp(t,e,mt(t.dtype,e.dtype),function(t,e){return t+e})},t.prototype.addN=function(t){var e=this;this.assertNotComplex(t,"addN");for(var n=t.map(function(t){return e.readSync(t.dataId)}),r=Ln(t[0].shape,t[0].dtype),i=r.values,a=0;a<t.length;a++)for(var o=n[a],s=0;s<i.length;s++)i[s]+=o[s];return r.toTensor()},t.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t-n,imag:e-r}}):this.broadcastedBinaryOp(t,e,mt(t.dtype,e.dtype),function(t,e){return t-e})},t.prototype.pow=function(t,e){return this.assertNotComplex([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.pow(t,e)})},t.prototype.batchMatMul=function(t,e,n,r){this.assertNotComplex([t,e],"matMul");for(var i=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],p=c[0],h=c[1],f=c[2],d=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],m=d[0],g=d[1],v=d[2],y=a*o,b=Ln([s,a,o],t.dtype),x=b.values,w=this.blockSize,C=0;C<s;C++)for(var N=0;N<a;N+=w)for(var E=0;E<o;E+=w)for(var S=0;S<i;S+=w)for(var k=Math.min(N+w,a),I=Math.min(E+w,o),A=Math.min(S+w,i),R=N;R<k;R++)for(var T=E;T<I;T++){for(var D=0,O=S;O<A;O++)D+=u[C*p+R*h+O*f]*l[O*m+T*g+C*v];x[C*y+(R*o+T)]+=D}return b.toTensor()},t.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,i=t.transposeB,a=t.bias,o=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,i);return a&&(u=this.add(u,a)),o&&(u=kc(this,u,o,s)),u},t.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}}):this.broadcastedBinaryOp(t,e,mt(t.dtype,e.dtype),function(t,e){return t*e})},t.prototype.realDivide=function(t,e){return this.assertNotComplex([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},t.prototype.floorDiv=function(t,e){return this.assertNotComplex([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},t.prototype.sum=function(t,e){this.assertNotComplex(t,"sum"),He("sum",e,t.rank);for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,mt(t.dtype,"int32")),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=0,h=0;h<o;++h)p+=u[c+h];s[l]=p}return a},t.prototype.prod=function(t,e){this.assertNotComplex(t,"sum");for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,mt(t.dtype,"int32")),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=1,h=0;h<o;++h)p*=u[c+h];s[l]=p}return a},t.prototype.unsortedSegmentSum=function(t,e,n){this.assertNotComplex(t,"unsortedSegmentSum");for(var r=[],i=t.rank-e.rank,a=0;a<i;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var o=an(a,"int32"),s=mu(o,e).asType("float32").mul(t).sum(0);r.push(s)}return or(r)},t.prototype.argMin=function(t,e){this.assertNotComplex(t,"argMin");var n=[e];He("argMin",n,t.rank);for(var r=Ge(t.shape,n),i=r[0],a=r[1],o=fn(i,"int32"),s=m(a),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var g=l[p+d];g<h&&(h=g,f=d)}u[c]=f}return o},t.prototype.argMax=function(t,e){this.assertNotComplex(t,"argMax");var n=[e];He("argMax",n,t.rank);for(var r=Ge(t.shape,n),i=r[0],a=r[1],o=fn(i,"int32"),s=m(a),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var g=l[p+d];g>h&&(h=g,f=d)}u[c]=f}return o},t.prototype.cumsum=function(t,e,n,r){if(this.assertNotComplex(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var i=mt(t.dtype,"int32"),a=fn(t.shape,i),o=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],l=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var h=l(c,p);if(0===p)o[h]=n?0:s[h];else{var f=l(c,p-1);o[h]=n?s[f]+o[f]:s[h]+o[f]}}return a},t.prototype.equal=function(t,e){return this.assertNotComplex([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},t.prototype.notEqual=function(t,e){return this.assertNotComplex([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},t.prototype.less=function(t,e){return this.assertNotComplex([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},t.prototype.lessEqual=function(t,e){return this.assertNotComplex([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},t.prototype.greater=function(t,e){return this.assertNotComplex([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},t.prototype.greaterEqual=function(t,e){return this.assertNotComplex([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},t.prototype.logicalNot=function(t){this.assertNotComplex(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return st.make(t.shape,{values:n},"bool")},t.prototype.logicalAnd=function(t,e){return this.assertNotComplex([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},t.prototype.logicalOr=function(t,e){return this.assertNotComplex([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},t.prototype.select=function(t,e,n){this.assertNotComplex([t,e,n],"select");for(var r=this.readSync(t.dataId),i=this.readSync(e.dataId),a=this.readSync(n.dataId),o=fn(e.shape,mt(e.dtype,n.dtype)),s=this.readSync(o.dataId),u=0,l=0===t.rank||t.rank>1||1===e.rank?1:m(e.shape.slice(1)),c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=i[c]:s[u++]=a[c];return o},t.prototype.where=function(t){this.assertNotComplex([t],"where");var e=this.readSync(t.dataId);return si(t.shape,e)},t.prototype.topk=function(t,e,n){return this.assertNotComplex(t,"topk"),oi(this.readSync(t.dataId),t.shape,t.dtype,e)},t.prototype.min=function(t,e){this.assertNotComplex(t,"min"),He("min",e,t.rank);for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,t.dtype),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f<p&&(p=f)}s[l]=p}return a},t.prototype.minimum=function(t,e){return this.assertNotComplex([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},t.prototype.mod=function(t,e){return this.assertNotComplex([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})},t.prototype.max=function(t,e){this.assertNotComplex(t,"max"),He("max",e,t.rank);for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,t.dtype),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f>p&&(p=f)}s[l]=p}return a},t.prototype.maximum=function(t,e){return this.assertNotComplex([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},t.prototype.all=function(t,e){this.assertNotComplex(t,"all"),He("all",e,t.rank);for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,t.dtype),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p&&f}s[l]=p}return a},t.prototype.any=function(t,e){this.assertNotComplex(t,"any"),He("any",e,t.rank);for(var n=Ge(t.shape,e),r=n[0],i=n[1],a=fn(r,t.dtype),o=m(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p||f}s[l]=p}return a},t.prototype.squaredDifference=function(t,e){return this.assertNotComplex([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},t.prototype.ceil=function(t){this.assertNotComplex(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return st.make(t.shape,{values:n})},t.prototype.floor=function(t){this.assertNotComplex(t,"floor");for(var e=this.readSync(t.dataId),n=new 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st.make(t.shape,{values:n},"bool")},t.prototype.round=function(t){this.assertNotComplex(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=Math.floor(e[r]);e[r]-i<.5?n[r]=Math.floor(e[r]):e[r]-i>.5?n[r]=Math.ceil(e[r]):n[r]=i%2==0?i:i+1}return st.make(t.shape,{values:n})},t.prototype.exp=function(t){this.assertNotComplex(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return st.make(t.shape,{values:n})},t.prototype.expm1=function(t){this.assertNotComplex(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return st.make(t.shape,{values:n})},t.prototype.log=function(t){this.assertNotComplex(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log(i)}return st.make(t.shape,{values:n})},t.prototype.log1p=function(t){this.assertNotComplex(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log1p(i)}return st.make(t.shape,{values:n})},t.prototype.sqrt=function(t){this.assertNotComplex(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.sqrt(i)}return st.make(t.shape,{values:n})},t.prototype.rsqrt=function(t){this.assertNotComplex(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=1/Math.sqrt(i)}return st.make(t.shape,{values:n})},t.prototype.square=function(t){this.assertNotComplex(t,"square");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=i*i}return st.make(t.shape,{values:n})},t.prototype.reciprocal=function(t){this.assertNotComplex(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return st.make(t.shape,{values:n})},t.prototype.linear=function(t){return t},t.prototype.relu=function(t){this.assertNotComplex(t,"relu");for(var e=fn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),i=0;i<r.length;++i)n[i]=Math.max(0,r[i]);return e},t.prototype.relu6=function(t){this.assertNotComplex(t,"relu");for(var e=fn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),i=0;i<r.length;++i)n[i]=Math.min(Math.max(0,r[i]),6);return e},t.prototype.prelu=function(t,e){return this.assertNotComplex([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},t.prototype.elu=function(t){this.assertNotComplex(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r];e[r]=i>=0?i:Math.exp(i)-1}return st.make(t.shape,{values:e})},t.prototype.eluDer=function(t,e){this.assertNotComplex([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),i=this.readSync(t.dataId),a=0;a<r.length;++a){var o=r[a];n[a]=o>=1?i[a]:i[a]*(o+1)}return st.make(e.shape,{values:n})},t.prototype.selu=function(t){this.assertNotComplex(t,"selu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r];e[r]=i>=0?1.0507009873554805*i:1.7580993408473768*(Math.exp(i)-1)}return st.make(t.shape,{values:e})},t.prototype.clip=function(t,e,n){this.assertNotComplex(t,"clip");for(var r=new Float32Array(t.size),i=this.readSync(t.dataId),a=0;a<i.length;++a){var o=i[a];r[a]=o>n?n:o<e?e:o}return st.make(t.shape,{values:r})},t.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return st.make(t.shape,{values:e})},t.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var i=n[2*r],a=n[2*r+1];e[r]=Math.hypot(i,a)}return st.make(t.shape,{values:e})},t.prototype.int=function(t){this.assertNotComplex(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return st.make(t.shape,{values:e},"int32")},t.prototype.sigmoid=function(t){this.assertNotComplex(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return st.make(t.shape,{values:e})},t.prototype.softplus=function(t){this.assertNotComplex(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var a,o=r[i]>-e,s=r[i]<e,u=Math.exp(r[i]);a=s?u:o?r[i]:Math.log(1+u),n[i]=a}return st.make(t.shape,{values:n})},t.prototype.sin=function(t){this.assertNotComplex(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return st.make(t.shape,{values:e})},t.prototype.cos=function(t){this.assertNotComplex(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return st.make(t.shape,{values:e})},t.prototype.tan=function(t){this.assertNotComplex(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return st.make(t.shape,{values:e})},t.prototype.asin=function(t){this.assertNotComplex(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return st.make(t.shape,{values:e})},t.prototype.acos=function(t){this.assertNotComplex(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return st.make(t.shape,{values:e})},t.prototype.atan=function(t){this.assertNotComplex(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return st.make(t.shape,{values:e})},t.prototype.atan2=function(t,e){return this.assertNotComplex([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},t.prototype.sinh=function(t){this.assertNotComplex(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return st.make(t.shape,{values:e})},t.prototype.cosh=function(t){this.assertNotComplex(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return st.make(t.shape,{values:e})},t.prototype.tanh=function(t){this.assertNotComplex(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=y(n[r]);return st.make(t.shape,{values:e})},t.prototype.asinh=function(t){this.assertNotComplex(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return st.make(t.shape,{values:e})},t.prototype.acosh=function(t){this.assertNotComplex(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return st.make(t.shape,{values:e})},t.prototype.atanh=function(t){this.assertNotComplex(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return st.make(t.shape,{values:e})},t.prototype.erf=function(t){this.assertNotComplex(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=Math.sign(n[r]),a=Math.abs(n[r]),o=1/(1+.3275911*a);e[r]=i*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-a*a))}return st.make(t.shape,{values:e})},t.prototype.step=function(t,e){void 0===e&&(e=0),this.assertNotComplex(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var a=r[i];isNaN(a)?n[i]=NaN:n[i]=a>0?1:e}return st.make(t.shape,{values:n})},t.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,i=t.bias,a=t.activation,o=t.preluActivationWeights,s=this.conv2d(e,n,r);return i&&(s=this.add(s,i)),a&&(s=kc(this,s,a,o)),s},t.prototype.conv2d=function(t,e,n){this.assertNotComplex([t,e],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l="channelsLast"===n.dataFormat,c=Ln(n.outShape,t.dtype),p=t.strides[0],h=l?t.strides[1]:t.strides[2],f=l?t.strides[2]:1,d=l?1:t.strides[1],m=c.strides[0],g=l?c.strides[1]:c.strides[2],v=l?c.strides[2]:1,y=l?1:c.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=c.values,C=0;C<n.batchSize;++C)for(var N=C*p,E=C*m,S=0;S<n.outHeight;++S)for(var k=E+S*g,I=S*n.strideHeight-u,A=0;A<r;A++){var R=I+A*a;if(!(R<0||R>=n.inHeight))for(var T=A*e.strides[0],D=N+R*h,O=0;O<n.outWidth;++O)for(var _=k+O*v,F=O*n.strideWidth-s,z=0;z<i;z++){var M=F+z*o;if(!(M<0||M>=n.inWidth))for(var L=D+M*f,P=T+z*e.strides[1],B=0;B<n.inChannels;++B){for(var W=b[L+B*d],V=0;V<n.outChannels;++V)w[_+V*y]+=W*x[P+V];P+=n.outChannels}}}return c.toTensor()},t.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,i=n.filterHeight,a=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=Ln(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),m=h.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*h.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*h.strides[1],w=b*n.strideDepth-l,C=0;C<r;C++){var N=w+C*o;if(!(N<0||N>=n.inDepth))for(var E=C*e.strides[0],S=v+N*t.strides[1],k=0;k<n.outHeight;++k)for(var I=x+k*h.strides[2],A=k*n.strideHeight-p,R=0;R<i;R++){var T=A+R*s;if(!(T<0||T>=n.inHeight))for(var D=E+R*e.strides[1],O=S+T*t.strides[2],_=0;_<n.outWidth;++_)for(var F=I+_*n.outChannels,z=_*n.strideWidth-c,M=0;M<a;M++){var L=z+M*u;if(!(L<0||L>=n.inWidth))for(var P=D+M*e.strides[2],B=O+L*n.inChannels,W=P,V=0;V<n.inChannels;++V){for(var U=f[B+V],j=0;j<n.outChannels;++j)m[F+j]+=U*d[W+j];W+=n.outChannels}}}}return h.toTensor()},t.prototype.conv2dDerInput=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerInput");for(var r=Ln(n.inShape,"float32"),i=r.values,a=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],l=s[1],c=s[2],p=n.batchSize,h=n.filterHeight,f=n.filterWidth,d=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,C=n.dataFormat,N=h-1-n.padInfo.top,E=f-1-n.padInfo.left,S="channelsLast"===C,k=r.strides[0],I=S?r.strides[1]:r.strides[2],A=S?r.strides[2]:1,R=S?1:r.strides[1],T=t.strides[0],D=S?t.strides[1]:t.strides[2],O=S?t.strides[2]:1,_=S?1:t.strides[1],F=0;F<p;++F)for(var z=0;z<d;++z)for(var M=0;M<m;++M)for(var L=M-N,P=Math.max(0,Math.ceil(L/x)),B=Math.min(y,(h+L)/x),W=0;W<g;++W){for(var V=W-E,U=Math.max(0,Math.ceil(V/w)),j=Math.min(b,(f+V)/w),G=0,q=P;q<B;++q)for(var H=q*x-L,K=U;K<j;++K)for(var $=T*F+D*q+O*K,X=u*(h-1-H)+l*(f-1-(K*w-V))+c*z,Y=0;Y<v;++Y)G+=a[$+_*Y]*o[X+Y];i[k*F+I*M+A*W+R*z]=G}return r.toTensor()},t.prototype.conv3dDerInput=function(t,e,n){for(var r=Ln(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],l=a[3],c=this.readSync(t.dataId),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=n.batchSize,N=n.filterDepth,E=n.filterHeight,S=n.filterWidth,k=n.inChannels,I=n.inDepth,A=n.inHeight,R=n.inWidth,T=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,F=n.strideDepth,z=n.strideHeight,M=n.strideWidth,L=N-1-n.padInfo.front,P=E-1-n.padInfo.top,B=S-1-n.padInfo.left,W=0;W<C;++W)for(var V=0;V<k;++V)for(var U=0;U<I;++U)for(var j=U-L,G=Math.max(0,Math.ceil(j/F)),q=Math.min(D,(N+j)/F),H=0;H<A;++H)for(var K=H-P,$=Math.max(0,Math.ceil(K/z)),X=Math.min(O,(E+K)/z),Y=0;Y<R;++Y){for(var J=Y-B,Z=Math.max(0,Math.ceil(J/M)),Q=Math.min(_,(S+J)/M),tt=0,et=G;et<q;++et)for(var nt=et*F-j,rt=$;rt<X;++rt)for(var it=rt*z-K,at=Z;at<Q;++at)for(var ot=h*W+f*et+d*rt+m*at,st=y*(N-1-nt)+b*(E-1-it)+x*(S-1-(at*M-J))+w*V,ut=0;ut<T;++ut)tt+=c[ot+ut]*g[st+ut];i[o*W+s*U+u*H+l*Y+V]=tt}return r.toTensor()},t.prototype.conv2dDerFilter=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=Ln(n.filterShape,"float32"),l=n.padInfo.left,c=n.padInfo.top,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<a;++f)for(var d=Math.max(0,Math.ceil((c-f)/r)),m=Math.min(n.outHeight,(n.inHeight+c-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((l-g)/i)),y=Math.min(n.outWidth,(n.inWidth+l-g)/i),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,C=0;C<n.batchSize;++C)for(var N=d;N<m;++N)for(var E=f+N*r-c,S=v;S<y;++S){var k=g+S*i-l;w+=s?p.get(C,E,k,b)*h.get(C,N,S,x):p.get(C,b,E,k)*h.get(C,x,N,S)}u.set(w,f,g,b,x)}return u.toTensor()},t.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=Ln(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=this.readSync(t.dataId),N=t.strides,E=N[0],S=N[1],k=N[2],I=N[3],A=n.padInfo.front,R=n.padInfo.left,T=n.padInfo.top,D=0;D<o;++D)for(var O=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),F=D*h,z=0;z<s;++z)for(var M=Math.max(0,Math.ceil((T-z)/i)),L=Math.min(n.outHeight,(n.inHeight+T-z)/i),P=z*f+F,B=0;B<u;++B)for(var W=Math.max(0,Math.ceil((R-B)/a)),V=Math.min(n.outWidth,(n.inWidth+R-B)/a),U=B*d+P,j=0;j<n.inChannels;++j)for(var G=j*m+U,q=0;q<n.outChannels;++q){for(var H=0,K=0;K<n.batchSize;++K)for(var $=K*E,X=K*y,Y=O;Y<_;++Y)for(var J=(D+Y*r-A)*S+$,Z=Y*b+X,Q=M;Q<L;++Q)for(var tt=(z+Q*i-T)*k+J,et=Q*x+Z,nt=W;nt<V;++nt){var rt=nt*w+et;H+=C[(B+nt*a-R)*I+tt+j]*g[rt+q]}c[G+q]=H}return l.toTensor()},t.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,i=t.bias,a=t.activation,o=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return i&&(s=this.add(s,i)),a&&(s=kc(this,s,a,o)),s},t.prototype.depthwiseConv2D=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=Ln(n.outShape,t.dtype),p=this.readSync(t.dataId),h=this.readSync(e.dataId),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*c.strides[1],b=v*n.strideHeight-s,x=0;x<r;++x){var w=b+x*a;if(!(w<0||w>=n.inHeight))for(var C=x*e.strides[0],N=m+w*t.strides[1],E=0;E<n.outWidth;++E)for(var S=y+E*c.strides[2],k=E*n.strideWidth-u,I=0;I<i;++I){var A=k+I*o;if(!(A<0||A>=n.inWidth))for(var R=C+I*e.strides[1],T=N+A*n.inChannels,D=S,O=R,_=0;_<n.inChannels;++_){for(var F=p[T+_],z=0;z<l;++z)f[D+z]+=F*h[O+z];D+=l,O+=l}}}return c.toTensor()},t.prototype.depthwiseConv2DDerInput=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerInput");for(var r=Ln(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],l=this.readSync(t.dataId),c=t.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,C=n.inChannels,N=n.inHeight,E=n.inWidth,S=n.outChannels,k=n.outHeight,I=n.outWidth,A=n.strideHeight,R=n.strideWidth,T=x-1-n.padInfo.top,D=w-1-n.padInfo.left,O=S/C,_=0;_<b;++_)for(var F=0;F<C;++F)for(var z=0;z<N;++z)for(var M=z-T,L=Math.max(0,Math.ceil(M/A)),P=Math.min(k,(x+M)/A),B=0;B<E;++B){for(var W=B-D,V=Math.max(0,Math.ceil(W/R)),U=Math.min(I,(w+W)/R),j=0,G=L;G<P;++G)for(var q=G*A-M,H=V;H<U;++H)for(var K=p*_+h*G+f*H,$=g*(x-1-q)+v*(w-1-(H*R-W))+y*F,X=0;X<O;++X)j+=l[K+(F*O+X)]*d[$+X];i[o*_+s*z+u*B+F]=j}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=Ln(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<a;++f)for(var d=Math.max(0,Math.ceil((l-f)/r)),m=Math.min(n.outHeight,(n.inHeight+l-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((u-g)/i)),y=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/c),w=b%c,C=0,N=0;N<n.batchSize;++N)for(var E=d;E<m;++E)for(var S=f+E*r-l,k=v;k<y;++k){var I=g+k*i-u;C+=p.get(N,S,I,x)*h.get(N,E,k,b)}s.set(C,f,g,x,w)}return s.toTensor()},t.prototype.tile=function(t,e){return this.assertNotComplex(t,"tile"),ai(this.bufferSync(t),e)},t.prototype.pad=function(t,e,n){this.assertNotComplex(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),i=e.map(function(t){return t[0]}),a=this.bufferSync(t),o=Ln(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),l=u.map(function(t,e){return t+i[e]});o.set.apply(o,[a.get.apply(a,u)].concat(l))}return o.toTensor()},t.prototype.transpose=function(t,e){this.assertNotComplex(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var i=this.readSync(t.dataId),a=Ln(n,t.dtype),o=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[e[l]];var c=a.locToIndex(u);a.values[c]=i[r]}return a.toTensor()},t.prototype.gather=function(t,e,n){this.assertNotComplex([t,e],"gather");var r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;for(var a=Ln(r,t.dtype),o=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[n]=i[u[n]];var c=o.locToIndex(l);a.values[s]=o.values[c]}return a.toTensor()},t.prototype.batchToSpaceND=function(t,e,n){this.assertNotComplex([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=pr(t.shape,e,r),a=hr(i.length,e.length),o=fr(t.shape,e,r),s=dr(n,e.length),u=mr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){this.assertNotComplex([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var a=1+e.length;a<t.shape.length;++a)i.push([0,0]);var o=t.pad(i),s=pr(o.shape,e,r,!1),u=hr(s.length,e.length,!1),l=fr(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},t.prototype.pool=function(t,e,n){this.assertNotComplex(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=this.readSync(t.dataId),f=Ln(e.outShape,t.dtype),d=f.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],v=e.outShape[3],y=0;y<e.batchSize;++y)for(var b=y*m,x=y*t.strides[0],w=0;w<e.inChannels;++w)for(var C=0;C<e.outHeight;++C)for(var N=C*r-l,E=Math.max(0,N),S=Math.min(e.inHeight,s+N),k=b+C*g,I=0;I<e.outWidth;++I){for(var A=I*i-c,R=Math.max(0,A),T=Math.min(e.inWidth,u+A),D=p,O=0,_=0,F=E;F<S;F+=a){for(var z=x+F*t.strides[1],M=R;M<T;M+=o){var L=h[z+M*t.strides[2]+w];"max"===n&&L>D?D=L:"avg"===n&&(O+=L,_++)}if(isNaN(D))break}d[k+I*v+w]="avg"===n?O/_:D}return f.toTensor()},t.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},t.prototype.maxPoolPositions=function(t,e){for(var n=Ln(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p=this.bufferSync(t),h=0;h<e.batchSize;++h)for(var f=0;f<e.inChannels;++f)for(var d=0;d<e.outHeight;++d){for(var m=d*r-l,g=m;g<0;)g+=a;for(var v=Math.min(e.inHeight,s+m),y=0;y<e.outWidth;++y){for(var b=y*i-c,x=b;x<0;)x+=o;for(var w=Math.min(e.inWidth,u+b),C=Number.NEGATIVE_INFINITY,N=-1,E=g;E<v;E+=a)for(var S=E-m,k=x;k<w;k+=o){var I=k-b,A=p.get(h,E,k,f);A>C&&(C=A,N=S*u+I)}n.set(N,h,d,y,f)}}return n.toTensor()},t.prototype.maxPoolBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),a=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,h=l-1-r.padInfo.top,f=Ln(e.shape,"float32"),d=this.bufferSync(i),m=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-h,w=b-p,C=0,N=0;N<l;N+=s){var E=(x+N)/a;if(!(E<0||E>=r.outHeight||Math.floor(E)!==E))for(var S=0;S<c;S+=u){var k=(w+S)/o;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var I=l*c-1-d.get(g,E,k,v)===N*c+S?1:0;0!==I&&(C+=m.get(g,E,k,v)*I)}}}f.set(C,g,y,b,v)}return f.toTensor()},t.prototype.avgPoolBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,h=l-1-n.padInfo.top,f=Ln(e.shape,"float32"),d=1/(a*o),m=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-h,w=b-p,C=0,N=0;N<l;N+=s){var E=(x+N)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var S=0;S<c;S+=u){var k=(w+S)/i;k<0||k>=n.outWidth||Math.floor(k)!==k||(C+=m.get(g,E,k,v))}}f.set(C*d,g,y,b,v)}return f.toTensor()},t.prototype.pool3d=function(t,e,n){this.assertNotComplex(t,"pool3d");for(var r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),v=Ln(e.outShape,t.dtype),y=v.values,b=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],x=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],N=0;N<e.batchSize;++N)for(var E=N*b,S=N*t.strides[0],k=0;k<e.inChannels;++k)for(var I=0;I<e.outDepth;++I){for(var A=I*r-h,R=A;R<0;)R+=o;for(var T=Math.min(e.inDepth,l+A),D=E+I*x,O=0;O<e.outHeight;++O){for(var _=O*i-f,F=_;F<0;)F+=s;for(var z=Math.min(e.inHeight,c+_),M=D+O*w,L=0;L<e.outWidth;++L){for(var P=L*a-d,B=P;B<0;)B+=u;for(var W=Math.min(e.inWidth,p+P),V=M+L*C,U=m,j=0,G=0,q=R;q<T;q+=o){for(var H=S+q*t.strides[1],K=F;K<z;K+=s){for(var $=H+K*t.strides[2],X=B;X<W;X+=u){var Y=g[$+X*t.strides[3]+k];if("max"===n&&Y>U?U=Y:"avg"===n&&(j+=Y,G++),isNaN(U))break}if(isNaN(U))break}if(isNaN(U))break}y[V+k]="avg"===n?j/G:U}}}return v.toTensor()},t.prototype.avgPool3d=function(t,e){return this.assertNotComplex(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=n.dilationDepth,c=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,f=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=h-1-n.padInfo.front,g=d-1-n.padInfo.left,v=f-1-n.padInfo.top,y=Ln(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var N=0;N<n.inDepth;++N)for(var E=0;E<n.inHeight;++E)for(var S=0;S<n.inWidth;++S){for(var k=N-m,I=E-v,A=S-g,R=0,T=0;T<h;T+=l){var D=(k+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var O=0;O<f;O+=c){var _=(I+O)/i;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var F=0;F<d;F+=p){var z=(A+F)/a;z<0||z>=n.outWidth||Math.floor(z)!==z||(R+=x.get(w,D,_,z,C))}}}y.set(R*b,w,N,E,S,C)}return y.toTensor()},t.prototype.maxPool3d=function(t,e){return this.assertNotComplex(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},t.prototype.maxPool3dPositions=function(t,e){for(var n=Ln(e.outShape,"int32"),r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m=this.bufferSync(t),g=0;g<e.batchSize;++g)for(var v=0;v<e.inChannels;++v)for(var y=0;y<e.outDepth;++y){for(var b=y*r-h,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,l+b),C=0;C<e.outHeight;++C){for(var N=C*i-f,E=N;E<0;)E+=s;for(var S=Math.min(e.inHeight,c+N),k=0;k<e.outWidth;++k){for(var I=k*a-d,A=I;A<0;)A+=u;for(var R=Math.min(e.inWidth,p+I),T=Number.NEGATIVE_INFINITY,D=-1,O=x;O<w;O+=o)for(var _=O-b,F=E;F<S;F+=s)for(var z=F-N,M=A;M<R;M+=u){var L=M-I,P=m.get(g,O,F,M,v);P>=T&&(T=P,D=_*c*p+z*c+L)}n.set(D,g,y,C,k,v)}}}return n.toTensor()},t.prototype.maxPool3dBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPool3dBackprop");for(var i=this.maxPool3dPositions(e,r),a=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=p-1-r.padInfo.front,m=f-1-r.padInfo.left,g=h-1-r.padInfo.top,v=Ln(e.shape,"float32"),y=this.bufferSync(i),b=this.bufferSync(t),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var N=0;N<r.inHeight;++N)for(var E=0;E<r.inWidth;++E){for(var S=C-d,k=N-g,I=E-m,A=0,R=0;R<p;R+=u){var T=(S+R)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<h;D+=l){var O=(k+D)/o;if(!(O<0||O>=r.outHeight||Math.floor(O)!==O))for(var _=0;_<f;_+=c){var F=(I+_)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var z=p*h*f-1-y.get(x,T,O,F,w)===R*h*f+D*f+_?1:0;0!==z&&(A+=b.get(x,T,O,F,w)*z)}}}}v.set(A,x,C,N,E,w)}return v.toTensor()},t.prototype.cast=function(t,e){return $r(t,e,this)},t.prototype.reshape=function(t,e){return Xr(t,e)},t.prototype.avgPool=function(t,e){return this.assertNotComplex(t,"avgPool"),this.pool(t,e,"avg").toFloat()},t.prototype.resizeBilinear=function(t,e,n,r){this.assertNotComplex(t,"resizeBilinear");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],l=this.readSync(t.dataId),c=new Float32Array(m([a,e,n,u])),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,d=p[0]/h[0],g=p[1]/h[1],v=0;v<a;v++)for(var y=0;y<e;y++)for(var b=d*y,x=Math.floor(b),w=b-x,C=Math.min(o-1,Math.ceil(b)),N=v*t.strides[0]+x*t.strides[1],E=v*t.strides[0]+C*t.strides[1],S=0;S<n;S++)for(var k=g*S,I=Math.floor(k),A=k-I,R=Math.min(s-1,Math.ceil(k)),T=N+I*t.strides[2],D=E+I*t.strides[2],O=N+ +R*t.strides[2],_=E+R*t.strides[2],F=0;F<u;F++){var z=l[T+F],M=l[D+F],L=z+(l[O+F]-z)*A,P=L+(M+(l[_+F]-M)*A-L)*w;c[f++]=P}return nn(c,[a,e,n,u])},t.prototype.resizeBilinearBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*a*o*s),h=[n&&l>1?a-1:a,n&&c>1?o-1:o],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],g=this.readSync(t.dataId),v=0,y=0;y<i;y++)for(var b=y*e.strides[0],x=0;x<l;x++)for(var w=x*d,C=Math.floor(w),N=Math.min(Math.ceil(w),a-1),E=b+C*e.strides[1],S=b+N*e.strides[1],k=w-C,I=1-k,A=0;A<c;A++)for(var R=A*m,T=Math.floor(R),D=Math.min(Math.ceil(R),o-1),O=R-T,_=1-O,F=E+T*e.strides[2],z=E+D*e.strides[2],M=S+T*e.strides[2],L=S+D*e.strides[2],P=I*_,B=I*O,W=k*_,V=k*O,U=0;U<s;U++){var j=g[v++];p[F+U]+=j*P,p[z+U]+=j*B,p[M+U]+=j*W,p[L+U]+=j*V}return ln(p,[i,o,a,s],e.dtype)},t.prototype.resizeNearestNeighbor=function(t,e,n,r){this.assertNotComplex(t,"resizeNearestNeighbor");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],l=this.readSync(t.dataId),c=new Float32Array(a*e*n*u),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,g=0;g<a;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=f*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var C=d*w,N=x+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],E=0;E<u;E++){var S=l[N+E];c[m++]=S}return nn(c,[a,e,n,u],t.dtype)},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*a*o*s),h=this.readSync(t.dataId),f=[n&&l>1?a-1:a,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,x=2*Math.ceil(y)+2,w=0;w<i;w++)for(var C=w*e.strides[0],N=0;N<a;N++)for(var E=C+N*e.strides[1],S=Math.floor(N*v),k=Math.floor(S-b/2),I=0;I<o;I++)for(var A=E+I*e.strides[2],R=Math.floor(I*y),T=Math.floor(R-x/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var F=_+k;if(!(F<0||F>=l)){var z=C+F*t.strides[1],M=F*m;if(N===Math.min(a-1,n?Math.round(M):Math.floor(M)))for(var L=0;L<x;L++){var P=L+T;if(!(P<0||P>=c)){var B=z+P*t.strides[2],W=P*g;I===Math.min(o-1,n?Math.round(W):Math.floor(W))&&(O+=h[B+D])}}}}p[A+D]=O}return ln(p,e.shape,e.dtype)},t.prototype.batchNormalization=function(t,e,n,r,i,a){this.assertNotComplex([t,e,n,i,a],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),l=i?this.readSync(i.dataId):new Float32Array([1]),c=a?this.readSync(a.dataId):new Float32Array([0]),p=new Float32Array(o.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)p[x]=c[g++]+(o[x]-s[v++])*l[y++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),v>=m&&(v=0),y>=f&&(y=0),b>=d&&(b=0);return ln(p,t.shape)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){this.assertNotComplex(t,"localResponseNormalization4D");var a=t.shape[3],o=a-1,s=this.readSync(t.dataId),u=t.size,l=new Float32Array(u);function c(t){for(var n=t%a,r=t-n+Math.max(0,n-e),i=t-n+Math.min(n+e,o),u=0;r<=i;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-i);l[p]=f}return ln(l,t.shape)},t.prototype.LRNGrad=function(t,e,n,r,i,a,o){this.assertNotComplex(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=this.readSync(n.dataId),p=new Float32Array(t.size),h=t.size,f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),g=f-d+Math.min(s,d+r+1),v=0,y=m;y<g;y++)v+=Math.pow(l[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*l[y]*c[f]/v;f===y&&(b+=Math.pow(v,-o)),b*=u[f],p[y]+=b}}return ln(p,t.shape)},t.prototype.multinomial=function(t,e,n,r){this.assertNotComplex(t,"multinomial");for(var i=e?t:Rr(t),a=i.shape[0],o=i.shape[1],s=fn([a,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(i.dataId),c=0;c<a;++c){var p=c*o,h=new Float32Array(o-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=_n(r.toString()),m=c*n,g=0;g<n;++g){var v=d();u[m+g]=h.length;for(var y=0;y<h.length;y++)if(v<h[y]){u[m+g]=y;break}}}return s},t.prototype.oneHot=function(t,e,n,r){this.assertNotComplex(t,"oneHot");var i=new Float32Array(t.size*e);i.fill(r);for(var a=this.readSync(t.dataId),o=0;o<t.size;++o)a[o]>=0&&a[o]<e&&(i[o*e+a[o]]=n);return sn(i,[t.size,e],"int32")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return this.assertNotComplex(t,"nonMaxSuppression"),ni(this.readSync(t.dataId),this.readSync(e.dataId),n,r,i)},t.prototype.fft=function(t){return this.fftBatch(t,!1)},t.prototype.ifft=function(t){return this.fftBatch(t,!0)},t.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=Ln(t.shape,"float32"),a=Ln(t.shape,"float32"),o=tn(t).as2D(n,r),s=en(t).as2D(n,r),u=0;u<n;u++)for(var l=o.slice([u,0],[1,r]),c=s.slice([u,0],[1,r]),p=Qe(l,c),h=this.readSync(this.fftImpl(p,e).dataId),f=0;f<r;f++){var d=Qr(h,f);i.values[u*r+f]=d.real,a.values[u*r+f]=d.imag}return Qe(i.toTensor(),a.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(i=Qe(tn(i).div(an(r)),en(i).div(an(r)))),i}var a=this.readSync(t.dataId),o=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return Qe(o.real,o.imag).as2D(t.shape[0],t.shape[1])},t.prototype.isExponentOf2=function(t){return 0==(t&t-1)},t.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),i=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=0;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),o=Qe(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=2;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),u=Qe(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),i=0;i<Math.ceil(t/2);i++){var a=(e?2:-2)*Math.PI*(i/t);n[i]=Math.cos(a),r[i]=Math.sin(a)}return{real:n,imag:r}}(e,n),c=Qe(l.real,l.imag).mul(u),p=o.add(c),h=o.sub(c),f=tn(p).concat(tn(h)),d=en(p).concat(en(h));return Qe(f,d).as1D()},t.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),i=0;i<e;i++){for(var a=0,o=0,s=0;s<e;s++){var u=ei(i*s,e,n),l=Qr(t,s);a+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(a/=e,o/=e),ti(r,a,o,i)}return r},t.prototype.depthToSpace=function(t,e,n){p("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),p(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],i=t.shape[1],a=t.shape[2],o=t.shape[3],s=i*e,u=a*e,l=o/(e*e),c=this.readSync(t.dataId),h=new Float32Array(r*s*u*l),f=0,d=0;d<r;++d)for(var m=0;m<s;++m)for(var g=Math.floor(m/e),v=m%e,y=0;y<u;++y)for(var b=Math.floor(y/e),x=(v*e+y%e)*l,w=0;w<l;++w){var C=w+x+o*(b+a*(g+i*d));h[f++]=c[C]}return ln(h,[r,s,u,l])},t.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=zr(t.shape,e.shape),a=Ln(i,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=_r(t.shape,i),l=_r(e.shape,i),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(o[p%o.length],s[p%s.length]);else{var h=this.bufferSync(t),f=this.bufferSync(e),d=function(n){var i=a.indexToLoc(n),p=i.slice(-t.rank);u.forEach(function(t){return p[t]=0});var d=h.locToIndex(p),m=i.slice(-e.rank);l.forEach(function(t){return m[t]=0});var g=f.locToIndex(m);c[n]=r(o[d],s[g])};for(p=0;p<c.length;++p)d(p)}return a.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=zr(t.shape,e.shape),i=Ln(r,"float32"),a=Ln(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=_r(t.shape,r),l=_r(e.shape,r),c=i.values,p=a.values;if(u.length+l.length===0)for(var h=0;h<c.length;h++){var f=h%o.length,d=h%s.length,m=n(o[2*f],o[2*f+1],s[2*d],s[2*d+1]);c[h]=m.real,p[h]=m.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),v=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=i.indexToLoc(r),h=a.slice(-t.rank);u.forEach(function(t){return h[t]=0});var f=g.locToIndex(h),d=a.slice(-e.rank);l.forEach(function(t){return d[t]=0});var m=v.locToIndex(d),y=n(o[2*f],o[2*f+1],s[2*m],s[2*m+1]);c[r]=y.real,p[r]=y.imag};for(h=0;h<c.length;h++)y(h)}return this.complex(i.toTensor(),a.toTensor())},t.prototype.split=function(t,e,n){return ii(t,e,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 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this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,(a=t.weightData,Fc?Buffer.from(a).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(a))))),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy})),[2,{modelArtifactsInfo:r}]}catch(t){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes="+r.modelTopologyBytes+", weightSpecsBytes="+r.weightSpecsBytes+", weightDataBytes="+r.weightDataBytes+".")}var a;return[2]})})},t.prototype.load=function(){return r(this,void 0,void 0,function(){var t,e,n,r,a,o,s;return i(this,function(i){if(null==(t=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");if("JSON"!==t.modelTopologyType)throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if(e={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error("In local storage, the topology of model '"+this.modelPath+"' is missing.");if(e.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error("In local storage, the weight specs of model '"+this.modelPath+"' are missing.");if(e.weightSpecs=r,null!=(a=this.LS.getItem(this.keys.modelMetadata))&&(o=JSON.parse(a),e.format=o.format,e.generatedBy=o.generatedBy,e.convertedBy=o.convertedBy),null==(s=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return 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i(this,function(i){for(t={},e=Zc+Jc,n=Jc+Qc,r=0;r<this.LS.length;++r)(a=this.LS.key(r)).startsWith(e)&&a.endsWith(n)&&(o=ap(a),t[o]=JSON.parse(this.LS.getItem(a)));return[2,t]})})},t.prototype.removeModel=function(t){return r(this,void 0,void 0,function(){var e,n;return i(this,function(r){var i;if(t=(i=t).startsWith(op.URL_SCHEME)?i.slice(op.URL_SCHEME.length):i,e=ip(t),null==this.LS.getItem(e.info))throw new Error("Cannot find model at path '"+t+"'");return n=JSON.parse(this.LS.getItem(e.info)),this.LS.removeItem(e.info),this.LS.removeItem(e.topology),this.LS.removeItem(e.weightSpecs),this.LS.removeItem(e.weightData),[2,n]})})},t}();if(o().getBool("IS_BROWSER"))try{Vc.registerManager(op.URL_SCHEME,new up)}catch(e){}var lp="model",cp=".json",pp=".weights.bin";function hp(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var fp=function(){function t(e){if(!o().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a 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Expected: ["+s+"]")}var u=T(t)?t:d(t),l=T(e)?e:d(e);if(u.length!==l.length)throw new Error("Arrays have different lengths actual: "+u.length+" vs expected: "+l.length+".\nActual:   "+u+".\nExpected: "+l+".");for(var c=0;c<l.length;++c){var p=u[c],h=l[c];if(!n(p,h))throw new Error("Arrays differ: actual["+c+"] = "+p+", expected["+c+"] = "+h+".\nActual:   "+u+".\nExpected: "+l+".")}}function Lp(t,e,n){return!isFinite(t)&&!isFinite(e)||!(isNaN(t)||isNaN(e)||Math.abs(t-e)>n)}var Pp=Object.freeze({TEST_EPSILON_FLOAT16:Fp,expectArraysClose:function(t,e,n){return null==n&&(n=zp()),Mp(t,e,function(t,e){return Lp(t,e,n)})},testEpsilon:zp,expectPromiseToFail:function(t,e){t().then(function(){return e.fail()},function(){return e()})},expectArraysEqual:function(t,e){var n="string"==typeof e||"number"==typeof e||"boolean"==typeof e?[e]:e;return _(t)||_(t[0])||_(e)||_(e[0])?Mp(t,n,function(t,e){return t==e}):Mp(t,e,function(t,e){return Lp(t,e,0)})},expectNumbersClose:function(t,e,n){if(null==n&&(n=zp()),!Lp(t,e,n))throw new Error("Numbers differ: actual === "+t+", expected === "+e)},expectValuesInRange:function(t,e,n){for(var r=0;r<t.length;r++)if(t[r]<e||t[r]>n)throw new Error("Value out of range:"+t[r]+" low: "+e+", high: "+n)},expectArrayBuffersEqual:function(t,e){expect(new Float32Array(t)).toEqual(new Float32Array(e))}}),Bp=Object.freeze({gpgpu_util:Ma,webgl_util:Re,forceHalfFloat:function(){o().set("WEBGL_FORCE_F16_TEXTURES",!0)},MathBackendWebGL:Ho,setWebGLContext:Dt,GPGPUContext:La}),Wp=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.minimize=function(t,e,n){void 0===e&&(e=!1);var r=this.computeGradients(t,n),i=r.value,a=r.grads;if(null!=n){var o=n.map(function(t){return{name:t.name,tensor:a[t.name]}});this.applyGradients(o)}else this.applyGradients(a);return Fe(a),e?i:(i.dispose(),null)},Object.defineProperty(e.prototype,"iterations",{get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),e.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},e.prototype.computeGradients=function(t,e){return kr(t,e)},e.prototype.dispose=function(){null!=this.iterations_&&Fe(this.iterations_)},e.prototype.saveIterations=function(){return r(this,void 0,void 0,function(){return i(this,function(t){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:an(this.iterations_,"int32")}]})})},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return i(this,function(t){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return i(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return r(this,void 0,void 0,function(){var e;return i(this,function(n){switch(n.label){case 0:return e=this,[4,t[0].tensor.data()];case 1:return e.iterations_=n.sent()[0],[2,t.slice(1)]}})})},e}(Rp);Object.defineProperty(Wp,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var Vp=function(t){function e(e,n,r){void 0===r&&(r=null);var i=t.call(this)||this;return i.learningRate=e,i.rho=n,i.epsilon=r,i.accumulatedGrads=[],i.accumulatedUpdates=[],null==r&&(i.epsilon=Et.backend.epsilon()),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Et.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:_e(function(){return yn(i).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:_e(function(){return yn(i).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var o=e.accumulatedGrads[r].variable,s=e.accumulatedUpdates[r].variable;_e(function(){var t=o.mul(e.rho).add(a.square().mul(1-e.rho)),n=s.add(e.epsilon).sqrt().div(o.add(e.epsilon).sqrt()).mul(a),r=s.mul(e.rho).add(n.square().mul(1-e.rho));o.assign(t),s.assign(r);var u=n.mul(-e.learningRate).add(i);i.assign(u)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedUpdates&&(Fe(this.accumulatedGrads.map(function(t){return t.variable})),Fe(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return t=this.accumulatedGrads.concat(this.accumulatedUpdates),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){var e;return i(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=t.length/2,this.accumulatedGrads=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedUpdates=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.rho,e.epsilon)},e.className="Adadelta",e}(Wp);Dp(Vp);var Up=function(t){function e(e,n){void 0===n&&(n=.1);var r=t.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Et.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:_e(function(){return dn(i.shape,e.initialAccumulatorValue).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var o=e.accumulatedGrads[r].variable;_e(function(){var t=o.add(a.square());o.assign(t);var n=a.div(t.add(Et.backend.epsilon()).sqrt()).mul(-e.learningRate).add(i);i.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&Fe(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulatedGrads.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulatedGrads=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},e.fromConfig=function(t,e){return new t(e.learningRate,e.initialAccumulatorValue)},e.className="Adagrad",e}(Wp);Dp(Up);var jp=function(t){function e(e,n,r,i){void 0===i&&(i=null);var a=t.call(this)||this;return a.learningRate=e,a.beta1=n,a.beta2=r,a.epsilon=i,a.accumulatedFirstMoment=[],a.accumulatedSecondMoment=[],_e(function(){a.accBeta1=an(n).variable(),a.accBeta2=an(r).variable()}),null==i&&(a.epsilon=Et.backend.epsilon()),a}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);_e(function(){var r=fu(1,e.accBeta1),i=fu(1,e.accBeta2);n.forEach(function(n,a){var o=Et.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:_e(function(){return yn(o).variable(!1)})}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:_e(function(){return yn(o).variable(!1)})});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,l=e.accumulatedSecondMoment[a].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2).add(s.square().mul(1-e.beta2)),h=c.div(r),f=p.div(i);u.assign(c),l.assign(p);var d=h.div(f.sqrt().add(e.epsilon)).mul(-e.learningRate).add(o);o.assign(d)}}),e.accBeta1.assign(e.accBeta1.mul(e.beta1)),e.accBeta2.assign(e.accBeta2.mul(e.beta2))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&Fe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&Fe(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return t=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){var e,n=this;return i(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),_e(function(){n.accBeta1.assign(lu(n.beta1,n.iterations_+1)),n.accBeta2.assign(lu(n.beta2,n.iterations_+1))}),e=t.length/2,this.accumulatedFirstMoment=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedSecondMoment=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)},e.className="Adam",e}(Wp);Dp(jp);var Gp=function(t){function e(e,n,r,i,a){void 0===i&&(i=null),void 0===a&&(a=0);var o=t.call(this)||this;return o.learningRate=e,o.beta1=n,o.beta2=r,o.epsilon=i,o.decay=a,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],_e(function(){o.iteration=an(0).variable(),o.accBeta1=an(n).variable()}),null==i&&(o.epsilon=Et.backend.epsilon()),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);_e(function(){var r=fu(1,e.accBeta1),i=Zs(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,a){var o=Et.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:yn(o).variable(!1)}),null==e.accumulatedWeightedInfNorm[a]&&(e.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:yn(o).variable(!1)});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,l=e.accumulatedWeightedInfNorm[a].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2),h=s.abs(),f=p.maximum(h);u.assign(c),l.assign(f);var d=i.div(r).mul(c.div(f.add(e.epsilon))).add(o);o.assign(d)}}),e.iteration.assign(e.iteration.add(1)),e.accBeta1.assign(e.accBeta1.mul(e.beta1))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&Fe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&Fe(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return i(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return i(this,function(t){throw new Error("setWeights() is not implemented for Adamax yet.")})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)},e.className="Adamax",e}(Wp);Dp(Gp);var qp=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var a=Et.registeredVariables[n];_e(function(){var t=e.c.mul(i).add(a);a.assign(t)})}}),this.incrementIterations()},e.prototype.setLearningRate=function(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=ze(an(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:if(0!==(t=e.sent()).length)throw new Error("SGD optimizer does not have settable weights.");return[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate}},e.fromConfig=function(t,e){return new t(e.learningRate)},e.className="SGD",e}(Wp);Dp(qp);var Hp=function(t){function e(e,n,r){void 0===r&&(r=!1);var i=t.call(this,e)||this;return i.learningRate=e,i.momentum=n,i.useNesterov=r,i.accumulations=[],i.m=an(i.momentum),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Et.registeredVariables[n];null==e.accumulations[r]&&(e.accumulations[r]={originalName:n+"/momentum",variable:_e(function(){return yn(i).variable(!1)})});var a=e.accumulations[r].variable,o=Array.isArray(t)?t[r].tensor:t[n];null!=o&&_e(function(){var t,n=e.m.mul(a).add(o);t=e.useNesterov?e.c.mul(o.add(n.mul(e.m))).add(i):e.c.mul(n).add(i),a.assign(n),i.assign(t)})}),this.incrementIterations()},e.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&Fe(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulations.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulations=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},e.fromConfig=function(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)},e.className="Momentum",e}(qp);Dp(Hp);var Kp=function(t){function e(e,n,r,i,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===i&&(i=null),void 0===a&&(a=!1);var o=t.call(this)||this;return o.learningRate=e,o.decay=n,o.momentum=r,o.epsilon=i,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=a,null==i&&(o.epsilon=Et.backend.epsilon()),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Et.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:_e(function(){return yn(i).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:_e(function(){return yn(i).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:_e(function(){return yn(i).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var o=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;_e(function(){var t=o.mul(e.decay).add(a.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(a.mul(1-e.decay)),l=s.mul(e.momentum).add(a.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));o.assign(t),n.assign(u),s.assign(l);var c=i.sub(l);i.assign(c)}else{var 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1===r.length?e.reshape([1,1,1,1,r[0]]):e.reshape([1].concat(r))}else if(4===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1,1]):e.reshape([1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,1,r[0]]):e.reshape([1].concat(r))}else if(3===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1]):e.reshape([1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,r[0]]):e.reshape([1].concat(r))}else if(t<3)return e;throw new sh("Unsupported input rank by biasAdd: "+e.rank)}function bf(t,e,n){return _e(function(){return null==n&&(n="channelsLast"),jh(n),t.add(yf(t.rank,e,n))})}function xf(t,e,n,r){return _e(function(){return Kl(t,e,n,r)})}function wf(t,e,n){return void 0===n&&(n=!1),n?t():e()}var Cf=["fanIn","fanOut","fanAvg"],Nf=["normal","uniform","truncatedNormal"];var Ef=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return 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Af=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=e.minval||n.DEFAULT_MINVAL,n.maxval=e.maxval||n.DEFAULT_MAXVAL,n.seed=e.seed,n}return Qp(e,t),e.prototype.apply=function(t,e){return nr(t,this.minval,this.maxval,e)},e.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},e.className="RandomUniform",e}(Ef);Op.registerClass(Af);var Rf=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return Qp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new uh("randomNormal does not support dType "+e+".");return df(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="RandomNormal",e}(Ef);Op.registerClass(Rf);var Tf=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return Qp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new uh("truncatedNormal does not support dType "+e+".");return ur(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="TruncatedNormal",e}(Ef);Op.registerClass(Tf);var Df=function(t){function e(e){var n=t.call(this)||this;return n.gain=null!=e.gain?e.gain:1,n}return Qp(e,t),e.prototype.apply=function(t,e){var n=this;return _e(function(){if(2!==t.length||t[0]!==t[1])throw new sh("Identity matrix initializer can only be used for 2D square matrices.");return su(n.gain,qn(t[0]))})},e.prototype.getConfig=function(){return{gain:this.gain}},e.className="Identity",e}(Ef);Op.registerClass(Df);var Of=function(t){function e(e){var n=t.call(this)||this;if(e.scale<0)throw new sh("scale must be a positive float. Got: "+e.scale);return n.scale=null==e.scale?1:e.scale,n.mode=null==e.mode?"fanIn":e.mode,function(t){Nh(Cf,"FanMode",t)}(n.mode),n.distribution=null==e.distribution?"normal":e.distribution,function(t){Nh(Nf,"Distribution",t)}(n.distribution),n.seed=e.seed,n}return Qp(e,t),e.prototype.apply=function(t,e){var n=function(t,e){var n,r;if(void 0===e&&(e="channelsLast"),jh(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length))if("channelsFirst"===e){var i=tf(t,2);n=t[1]*i,r=t[0]*i}else"channelsLast"===e&&(i=tf(t,0,t.length-2),n=t[t.length-2]*i,r=t[t.length-1]*i);else{var a=tf(t);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}(t),r=n[0],i=n[1],a=this.scale;if("fanIn"===this.mode?a/=Math.max(1,r):"fanOut"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),"normal"===this.distribution){var o=Math.sqrt(a);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new uh(this.getClassName()+" does not support dType "+e+".");return ur(t,0,o,e,this.seed)}var s=Math.sqrt(3*a);return nr(t,-s,s,e)},e.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},e.className="VarianceScaling",e}(Ef);Op.registerClass(Of);var _f=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="GlorotUniform",e}(Of);Op.registerClass(_f);var Ff=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="GlorotNormal",e}(Of);Op.registerClass(Ff);var zf=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="HeNormal",e}(Of);Op.registerClass(zf);var Mf=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="HeUniform",e}(Of);Op.registerClass(Mf);var Lf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="LeCunNormal",e}(Of);Op.registerClass(Lf);var Pf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return Qp(e,t),e.prototype.getClassName=function(){return Of.className},e.className="LeCunNormal",e}(Of);Op.registerClass(Pf);var Bf=function(t){function e(e){var n=t.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==e.gain?n.DEFAULT_GAIN:e.gain,n.seed=e.seed,null!=n.seed)throw new uh("Random seed is not implemented for Orthogonal Initializer yet.");return n}return Qp(e,t),e.prototype.apply=function(t,e){var n=this;return _e(function(){if(2!==t.length)throw new uh("The Orthogonal Initializer does not support non-2D shapes yet.");t[0]*t[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more than 2000 ("+t[0]*t[1]+") elements: Slowness may result.");var e=df(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=dc.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),su(n.gain,r)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Ef);Op.registerClass(Bf);var Wf={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Vf(t,e){return void 0===e&&(e={}),bh(t,Op.SerializationMap.getMap().classNameMap,e,"initializer")}function Uf(t){return yh(t)}function jf(t){if("string"==typeof t){var e=t in Wf?Wf[t]:t;if("GlorotNormal"===e)return new Ff;if("GlorotUniform"===e)return new _f;if("HeNormal"===e)return new zf;if("HeUniform"===e)return new Mf;if("LeCunNormal"===e)return new Lf;if("LeCunUniform"===e)return new Pf;var n={};return n.className=e,n.config={},Vf(n)}return t instanceof Ef?t:Vf(t)}var Gf=Object.freeze({zeros:function(){return new Sf},ones:function(){return new kf},constant:function(t){return new If(t)},randomUniform:function(t){return new Af(t)},randomNormal:function(t){return new Rf(t)},truncatedNormal:function(t){return new Tf(t)},identity:function(t){return new Df(t)},varianceScaling:function(t){return new Of(t)},glorotUniform:function(t){return new _f(t)},glorotNormal:function(t){return new Ff(t)},heNormal:function(t){return new zf(t)},heUniform:function(t){return new Mf(t)},leCunNormal:function(t){return new Lf(t)},leCunUniform:function(t){return new Pf(t)},orthogonal:function(t){return new Bf(t)}}),qf=0;function Hf(){return qf++}var Kf={};function $f(t){return void 0===t&&(t=""),t in Kf||(Kf[t]=0),Kf[t]+=1,t+Kf[t].toString()}function Xf(t){return Array.isArray(t)&&Array.isArray(t[0])}function Yf(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function Jf(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new sh("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function Zf(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new sh("Expected exactly 1 Shape; got "+t.length)}return t}function Qf(t){for(var e=0,n=0,r=t;n<r.length;n++){var i=r[n];0===i.shape.length?e+=1:e+=i.shape.reduce(function(t,e){return t*e})}return e}var td="Variable",ed=function(){function t(t,e,n,r,i){void 0===e&&(e="float32"),void 0===n&&(n=td),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=Hf(),n=null==n?td:n,this.originalName=Xh(n),this.name=Yh(this.originalName),this.trainable_=r,this.constraint=i,this.val=ft(t,this.trainable_,this.name,this.dtype)}return t.prototype.read=function(){return this.assertNotDisposed(),this.val},t.prototype.write=function(t){return this.assertNotDisposed(),function(t,e){if(t.shape.toString()!==e.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(t.shape)+" vs. "+JSON.stringify(e.shape))}(this.val,t),this.val.id!==t.id&&(this.val.assign(t),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},t.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},t.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.trainable_=t,this.val.trainable=t},enumerable:!0,configurable:!0}),t}();function nd(t){return t.map(function(t){return t.read()})}function rd(t){t.forEach(function(t){t[0].write(t[1])})}var id=function(t){this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}},ad=function(t,e,n,r,i,a,o){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=Hf(),null!=a&&(this.originalName=Xh(a),this.name=Yh(this.originalName)),this.rank=e.length},od=0,sd=function(){function t(t,e){this.callArgs=e,this.id=od++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var n=0,r=t.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return t.prototype.getConfig=function(){for(var t=[],e=0,n=this.inboundLayers;e<n.length;e++){var r=n[e];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}},t}(),ud=0,ld=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=ud++,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=e.name;if(!r){var i=n.getClassName();r=mh(i)+"_"+$f(i)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){var a=void 0;if(null!=e.batchInputShape)a=e.batchInputShape;else if(null!=e.inputShape){var o=null;null!=e.batchSize&&(o=e.batchSize),a=[o].concat(e.inputShape)}n.batchInputShape=a;var s=e.dtype;null==s&&(s=e.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=e.weights?n.initialWeights=e.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return Qp(e,t),e.nodeKey=function(t,e){return t.name+"_ib-"+e.toString()},e.prototype.getNodeAtIndex=function(t,e){if(0===this.inboundNodes.length)throw new oh("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new sh("Asked to get "+e+" at node "+t+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[t]},e.prototype.getInputAt=function(t){return fh(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return fh(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new ah("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 ah("Layer "+this.name+" is not connected, no input to return.");return fh(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new ah("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new ah("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return fh(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),e.prototype.calculateLosses=function(){return this.losses.map(function(t){return t()})},Object.defineProperty(e.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"built",{get:function(){return this._built},set:function(t){this._built=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this._trainableWeights.forEach(function(e){return e.trainable=t}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights.filter(function(t){return t.trainable}):[]},set:function(t){this._trainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this._trainableWeights.filter(function(t){return!t.trainable}).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(t){this._nonTrainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},e.prototype.assertInputCompatibility=function(t){if(t=dh(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=dh(this.inputSpec);if(t.length!==e.length)throw new sh("Layer "+this.name+" expects "+e.length+" inputs, but it received "+t.length+" input tensors. Input received: "+t);for(var n=0;n<t.length;n++){var r=t[n],i=e[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new sh("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new sh("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+a);if(null!=i.minNDim&&a<i.minNDim)throw new sh("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+a+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new sh("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var o=r.shape;for(var s in i.axes){var u=Number(s),l=i.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new sh("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new sh("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape="+r.shape+".")}}}}},e.prototype.call=function(t,e){return t},e.prototype.invokeCallHook=function(t,e){null!=this._callHook&&this._callHook(t,e)},e.prototype.setCallHook=function(t){this._callHook=t},e.prototype.clearCallHook=function(){this._callHook=null},e.prototype.apply=function(t,e){var n=this;e=e||{},this.assertNotDisposed();for(var r=dh(t),i=!0,a=0,o=r;a<o.length;a++)if(!(o[a]instanceof ad)){i=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof ad){s=!1;break}if(i===s)throw new sh("Arguments to apply() must be all SymbolicTensors or all Tensors");return $h(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],a=0,o=dh(t);a<o.length;a++){var u=o[a];i.push(u.shape)}n.build(fh(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var l=[],c=0,p=dh(m=n.call(t,e));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),l.push(h)}if(m=fh(l),null!=n.activityRegularizer)throw new uh("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var f=function(t){for(var e=[],n=0,r=t=dh(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return fh(e)}(t),d=n.computeOutputShape(f),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?f[0]:f),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,i){return new ad(g,r,n,dh(t),e,n.name,i)}):new ad(g,d,n,dh(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new uh("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},e.prototype.warnOnIncompatibleInputShape=function(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var e=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn("The shape of the input tensor ("+JSON.stringify(t)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(e.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new ah("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var t=[],e=0,n=this.inboundNodes;e<n.length;e++){var r=n[e],i=JSON.stringify(r.outputShapes);-1===t.indexOf(i)&&t.push(i)}if(1===t.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new ah("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),e.prototype.countParams=function(){if(!this.built)throw new oh("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return Qf(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),nd(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;_e(function(){var n=e.weights;if(n.length!==t.length)throw new sh('You called setWeights(weights) on layer "'+e.name+'" with a weight list of length '+t.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+t+"...");if(0!==n.length){for(var r=[],i=nd(n),a=0;a<i.length;++a){var o=i[a],s=n[a],u=t[a];if(!$.arraysEqual(o.shape,u.shape))throw new sh("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}rd(r)}})},e.prototype.addWeight=function(t,e,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(t))throw new sh("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=jf("zeros"));var s=r.apply(e,n),u=new ed(s,n,t,a,o);return s.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==a&&(a=!0),a?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},e.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},e.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=dh(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},e.prototype.computeOutputShape=function(t){return t},e.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},e.prototype.addInboundNode=function(t,e,n,r,i,a,o){void 0===o&&(o=null);var s=dh(t);e=dh(e),n=dh(n),r=dh(r),i=Yf(i),a=Yf(a);for(var u=[],l=[],c=[],p=0,h=s;p<h.length;p++){var f=h[p];u.push(f.sourceLayer),l.push(f.nodeIndex),c.push(f.tensorIndex)}new sd({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var d=0;d<e.length;d++)e[d].sourceLayer=this,e[d].nodeIndex=this.inboundNodes.length-1,e[d].tensorIndex=d},e.prototype.getConfig=function(){var t={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(t.batchInputShape=this.batchInputShape),null!=this.dtype&&(t.dtype=this.dtype),t},e.prototype.disposeWeights=function(){return this.weights.forEach(function(t){return t.dispose()}),this.weights.length},e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},e.prototype.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 t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}},e}(Op.Serializable);var cd,pd=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:$f("input").toString()})||this;if(null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new sh("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(null==r){if(null==e.inputShape)throw new sh("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new sh("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new ad(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new sd({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return Qp(e,t),e.prototype.apply=function(t,e){throw new sh("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},e.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},e.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},e.className="InputLayer",e}(ld);function hd(t){if(null==t.batchShape&&null==t.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!=t.batchShape&&null!=t.shape)throw new sh("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));var n=t.dtype;return null==n&&(n="float32"),new pd({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function fd(t){return nh(this,void 0,void 0,function(){var e,n,r,i,a,o,s,u;return rh(this,function(l){switch(l.label){case 0:if(null==t)return[2];for(i in e=[],n=[],r=[],t)"number"!=typeof(a=t[i])&&(o=a,e.push(o.data()),n.push(i),r.push(o));return e.length>0?[4,Promise.all(e)]:[3,2];case 1:for(s=l.sent(),u=0;u<s.length;++u)t[n[u]]=s[u][0];Fe(r),l.label=2;case 2:return[2]}})})}function dd(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}Op.registerClass(pd),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(cd||(cd={}));var md=125,gd=function(){function t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.onEpochEnd=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.onBatchBegin=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.onBatchEnd=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.onTrainBegin=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.onTrainEnd=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(t){return[2]})})},t.prototype.setModel=function(t){},t}(),vd=function(){function t(t,e){void 0===e&&(e=10),null==t&&(t=[]),this.callbacks=t,this.queueLength=e}return t.prototype.append=function(t){this.callbacks.push(t)},t.prototype.setParams=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setParams(t)},t.prototype.setModel=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setModel(t)},t.prototype.onEpochBegin=function(t,e){return nh(this,void 0,void 0,function(){var n,r;return rh(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onEpochEnd=function(t,e){return nh(this,void 0,void 0,function(){var n,r;return rh(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchBegin=function(t,e){return nh(this,void 0,void 0,function(){var n,r;return rh(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchEnd=function(t,e){return nh(this,void 0,void 0,function(){var n,r;return rh(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onTrainBegin=function(t){return nh(this,void 0,void 0,function(){var e,n;return rh(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainBegin(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t.prototype.onTrainEnd=function(t){return nh(this,void 0,void 0,function(){var e,n;return rh(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainEnd(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t}(),yd=function(t){function e(){return t.call(this)||this}return Qp(e,t),e.prototype.onEpochBegin=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(t){return this.seen=0,this.totals={},[2]})})},e.prototype.onBatchEnd=function(t,e){return nh(this,void 0,void 0,function(){var t,n,r,i,a=this;return rh(this,function(o){for(i in null==e&&(e={}),t=null==e.size?0:e.size,this.seen+=t,n=function(n){var i=e[n];if("number"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*t;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=0;var s=_e(function(){return $s(a.totals[n],su(i,t))});r.totals[n]=s,null!=o&&o.dispose()}},r=this,e)n(i);return[2]})})},e.prototype.onEpochEnd=function(t,e){return nh(this,void 0,void 0,function(){var t,n,r,i,a,o=this;return rh(this,function(s){if(null!=e)for(t=function(t){if(null==n.totals[t])return"continue";"number"==typeof n.totals[t]?e[t]=n.totals[t]/n.seen:_e(function(){var n=su(Zs(1,o.seen),o.totals[t]);e[t]=n,o.totals[t].dispose(),ze(e[t])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],t(a);return[2]})})},e}(gd),bd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.onTrainBegin=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(t){return this.epoch=[],this.history={},[2]})})},e.prototype.onEpochEnd=function(t,e){return nh(this,void 0,void 0,function(){var n;return rh(this,function(r){for(n in null==e&&(e={}),this.epoch.push(t),e)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(e[n]);return[2]})})},e.prototype.syncData=function(){return nh(this,void 0,void 0,function(){var t,e,n,r,i,a,o,s,u;return rh(this,function(l){switch(l.label){case 0:for(r in t=[],e=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)"number"!=typeof i[a]&&(o=i[a],t.push(o.data()),e.push(r),n.push(a));return[4,Promise.all(t)];case 1:for(s=l.sent(),u=0;u<s.length;++u)this.history[e[u]][n[u]].dispose(),this.history[e[u]][n[u]]=s[u][0];return[2]}})})},e}(gd),xd=function(t){function e(e,n){var r=t.call(this)||this;if(r.currentEpoch=0,r.yieldEvery=n||"auto","auto"===r.yieldEvery&&(r.yieldEvery=md),"never"===r.yieldEvery&&null!=e.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. Either change `yieldEvery` or remove the callback");return $.isNumber(r.yieldEvery)&&(r.maybeWait=function(t,e){var n,r=$.now();return function(){for(var i=[],a=0;a<arguments.length;a++)i[a]=arguments[a];var o=$.now();return o-r<e?n:(r=o,n=t.apply(void 0,i))}}(r.maybeWait.bind(r),r.yieldEvery)),r.trainBegin=e.onTrainBegin,r.trainEnd=e.onTrainEnd,r.epochBegin=e.onEpochBegin,r.epochEnd=e.onEpochEnd,r.batchBegin=e.onBatchBegin,r.batchEnd=e.onBatchEnd,r.yield=e.onYield,r}return Qp(e,t),e.prototype.maybeWait=function(t,e,n){return nh(this,void 0,void 0,function(){var r;return rh(this,function(i){switch(i.label){case 0:return r=[],null==this.yield?[3,2]:[4,fd(n)];case 1:i.sent(),r.push(this.yield(t,e,n)),i.label=2;case 2:return r.push(Jp()),[4,Promise.all(r)];case 3:return i.sent(),[2]}})})},e.prototype.onEpochBegin=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){switch(n.label){case 0:return this.currentEpoch=t,null==this.epochBegin?[3,3]:[4,fd(e)];case 1:return n.sent(),[4,this.epochBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onEpochEnd=function(t,e){return nh(this,void 0,void 0,function(){var n;return rh(this,function(r){switch(r.label){case 0:return n=[],null==this.epochEnd?[3,2]:[4,fd(e)];case 1:r.sent(),n.push(this.epochEnd(t,e)),r.label=2;case 2:return"epoch"===this.yieldEvery&&n.push(Jp()),[4,Promise.all(n)];case 3:return r.sent(),[2]}})})},e.prototype.onBatchBegin=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,fd(e)];case 1:return n.sent(),[4,this.batchBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onBatchEnd=function(t,e){return nh(this,void 0,void 0,function(){var n;return rh(this,function(r){switch(r.label){case 0:return n=[],null==this.batchEnd?[3,2]:[4,fd(e)];case 1:r.sent(),n.push(this.batchEnd(t,e)),r.label=2;case 2:return"batch"===this.yieldEvery?n.push(Jp()):$.isNumber(this.yieldEvery)&&n.push(this.maybeWait(this.currentEpoch,t,e)),[4,Promise.all(n)];case 3:return r.sent(),[2]}})})},e.prototype.onTrainBegin=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(e){switch(e.label){case 0:return null==this.trainBegin?[3,3]:[4,fd(t)];case 1:return e.sent(),[4,this.trainBegin(t)];case 2:e.sent(),e.label=3;case 3:return[2]}})})},e.prototype.onTrainEnd=function(t){return nh(this,void 0,void 0,function(){return rh(this,function(e){switch(e.label){case 0:return null==this.trainEnd?[3,3]:[4,fd(t)];case 1:return e.sent(),[4,this.trainEnd(t)];case 2:e.sent(),e.label=3;case 3:return[2]}})})},e}(gd);function wd(t,e){return null==t&&(t={}),t instanceof gd?[t]:Array.isArray(t)&&t[0]instanceof gd?t:dh(t).map(function(t){return new xd(t,e)})}var Cd=function(){function t(){}return t.registerCallbackConstructor=function(e,n){$.assert(e>=0&&Number.isInteger(e),function(){return"Verbosity 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You may need to use the repeat() function when building your dataset."),[3,21]):null==w.value?[3,15]:(C=cm(t,w.value),N=C.xs,E=C.ys,(S={}).batch=x,S.size=N[0].shape[0],[4,d.onBatchBegin(x,S)]);case 9:if(L.sent(),k=[],null==n.classWeight)return[3,13];I=om(n.classWeight,t.outputNames),M=0,L.label=10;case 10:return M<I.length?(R=(A=k).push,[4,sm(E[M],null,I[M])]):[3,13];case 11:R.apply(A,[L.sent()]),L.label=12;case 12:return++M,[3,10];case 13:for(T=N.concat(E).concat(k),D=u(T),Fe(T),M=0;M<l.length;++M)O=l[M],_=D[M],S[O]=_,ze(_);return[4,d.onBatchEnd(x,S)];case 14:L.sent(),dd(S),x++,b++,L.label=15;case 15:return(r?b>=n.batchesPerEpoch:w.done)?i?(F=void 0,fm(n.validationData)?(z=dh,[4,t.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return F=z.apply(void 0,[L.sent()]),[3,18];case 17:F=dh(t.evaluate(a,o,{batchSize:null==n.validationBatchSize?lm:n.validationBatchSize,verbose:0})),L.label=18;case 18:for(M=0;M<t.metricsNames.length;++M)y["val_"+t.metricsNames[M]]=F[M];L.label=19;case 19:return[3,21];case 20:return t.stopTraining_?[3,21]:[3,7];case 21:return[4,d.onEpochEnd(g,y)];case 22:return L.sent(),g++,t.stopTraining_?[3,23]:[3,4];case 23:return[4,d.onTrainEnd()];case 24:return L.sent(),[4,t.history.syncData()];case 25:return L.sent(),[2,t.history];case 26:return t.isTraining=!1,[7];case 27:return[2]}})})}function fm(t){return"function"==typeof t.iterator}function dm(t){$.assert(t>0&&Number.isInteger(t),function(){return"batchSize is required to be a positive integer, but got "+t})}function mm(t,e,n){return null==t?[null]:Array.isArray(t)?t.map(function(t){return uf(t,e,n-e)}):uf(t,e,n-e)}function gm(t,e){return _e(function(){return null==t?null:Array.isArray(t)?t.map(function(t){return gm(t,e)}):gf(t,"int32"===e.dtype?e:e.toInt())})}function vm(t,e){for(var n=[],r=0,i=null;r<t;)(i=r+e)>=t&&(i=t),n.push([r,i]),r=i;return n}function ym(t,e,n,r){return void 0===r&&(r={}),nh(this,void 0,void 0,function(){var i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,E,S;return rh(this,function(k){switch(k.label){case 0:if(t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,k.label=1;case 1:return k.trys.push([1,,7,8]),dm(p=null==r.batchSize?32:r.batchSize),h=!1,[4,t.standardizeUserData(e,n,r.sampleWeight,r.classWeight,h,p)];case 2:if(f=k.sent(),i=f[0],a=f[1],c=f[2],d=!1,m=void 0,!(null!=r.validationData&&r.validationData.length>0))return[3,4];if(d=!0,2!==r.validationData.length)throw 3===r.validationData.length?new uh("validationData including sample weights is not supported yet."):new sh("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; 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Need data for each key in: '+e);s.push(t[c])}}else if(wm(t)){if((t=t).length!==e.length)throw new sh("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+e.length+" Tensor(s), but instead got the following list of Tensor(s): "+t);s=t}else{if(t=t,e.length>1)throw new sh("The model "+i+" expects "+e.length+" Tensor(s), but only received one Tensor. 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Build the model first (e.g., by calling it on some test data).");$d(this,t,e,n)},e.prototype.compile=function(t){var e=this;if(null==t.loss&&(t.loss=[]),this.loss=t.loss,"string"==typeof t.optimizer)this.optimizer_=function(t){var e={Adagrad:function(){return Xp.adagrad(.01)},Adadelta:function(){return Xp.adadelta(1,.95,ih())},Adam:function(){return Xp.adam(.001,.9,.999,ih())},Adamax:function(){return Xp.adamax(.002,.9,.999,ih(),0)},RMSProp:function(){return Xp.rmsprop(.001,.9,0,ih())},SGD:function(){return Xp.sgd(.01)}};if(e.adagrad=e.Adagrad,e.adadelta=e.Adadelta,e.adam=e.Adam,e.adamax=e.Adamax,e.rmsprop=e.RMSProp,e.sgd=e.SGD,t in e)return e[t]();throw new sh("Unknown Optimizer "+t)}(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Wp))throw new sh("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(t.loss)||"string"==typeof t.loss||"function"==typeof t.loss)if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new sh("When passing an Array as loss, it should have one entry per model output. 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We assume this was done on purpose, and we will not be expecting data to be passed to '+u+" during training"),n.push(Fd(t.loss[u]))}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var c=this.internalOutputShapes[l],p=this.outputNames[l];this.feedOutputNames.push(p),this.feedOutputShapes.push(c),this.feedLossFns.push(this.lossFunctions[l])}var h=[];this.metrics=t.metrics,this.metricsNames=["loss"],this.metricsTensors=[],$h("loss",function(){for(var t=0;t<e.outputs.length;++t)if(-1===h.indexOf(t)){var n=e.lossFunctions[t];e.outputs.length>1&&(e.metricsTensors.push([n,t]),e.metricsNames.push(e.outputNames[t]+"_loss"))}});var f=function(t,e){if(null==t||Array.isArray(t)&&0===t.length)return e.map(function(t){return[]});var n;if("string"==typeof t||"function"==typeof t)n=[t];else{if(!Array.isArray(t)&&"object"!=typeof t)throw new TypeError("Type of metrics argument not understood. 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},e.prototype.evaluate=function(t,e,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;dm(r);var i=this.standardizeUserDataXY(t,e,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return fh(this.testLoop(o,a,r,n.verbose,n.steps))}finally{xm(i[0],t),xm(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return nh(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h;return rh(this,function(f){switch(f.label){case 0:if(r=null!=(n=n||{}).batches,i=t.testFunction,a=[],n.verbose>0)throw new uh("Verbose mode is not implemented yet.");return $.assert(!r||n.batches>0&&Number.isInteger(n.batches),function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)}),function(t){return"function"==typeof t.next}(e)?(s=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:s=f.sent(),f.label=3;case 3:o=s,u=0,l=0,c=function(){var e;return rh(this,function(s){switch(s.label){case 0:return[4,o.next()];case 1:return e=s.sent(),a=_e(function(){if(e.value){var n=cm(t,e.value),r=n.xs,o=n.ys,s=r.concat(o),c=_e(function(){return i(s)});if(Fe(s),0===l)for(var p=0;p<c.length;++p)a.push(an(0));var h=s[0].shape[0],f=function(t){var e=c[t],n=a[t];a[t]=_e(function(){return $s(a[t],su(h,e))}),l>0&&Fe(n)};for(p=0;p<c.length;++p)f(p);Fe(c),u+=h,++l}return a}),e.done?(r&&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, "+n.batches+" batches). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return!r||l<n.batches?[5,c()]:[3,6];case 5:return"break"===f.sent()?[3,6]:[3,4];case 6:for(p=0;p<a.length;++p)h=a[p],a[p]=Zs(a[p],u),Fe(h);return[2,fh(a)]}})})}(this,t,e)]})})},e.prototype.checkNumSamples=function(t,e,n,r){var i;if(void 0===r&&(r="steps"),null!=n){if(i=null,null!=e)throw new sh("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new sh("Either the input data should have a defined shape, or "+r+" shoud be specified.");i=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return i},e.prototype.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new sh("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],i=this.retrieveSymbolicTensors(r),a=new tm;if(t instanceof st&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new sh("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],t[o])}else for(var s=0,u=this.inputs;s<u.length;s++){var l=u[s],c=t[l.name];if(null==c)throw new sh("No value is provided for the model's input "+l.name);a.add(l,c)}var p=rm(i,a);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=ch(null,t.length),n=t.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(t){return t.name}),u=0;u<t.length;++u){var l=s.indexOf(t[u]);if(-1!==l&&(e[u]=o[l],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw e.forEach(function(e,n){null==e&&c.push(t[n])}),new sh("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return e},e.prototype.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),_e(function(){var i=r.checkNumSamples(t);if(n)throw new uh("Verbose predictLoop() is not implemented yet.");for(var a=vm(i,e),o=r.outputs.map(function(t){return[]}),s=function(e){_e(function(){var n=a[e][0],i=a[e][1],o=mm(t,n,i),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 tm(s);return rm(r.outputs,l)}).forEach(function(t,e){return o[e].push(t)})},u=0;u<a.length;++u)s(u);return fh(o.map(function(t){return bn(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=bm(t);Em(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return dm(r),this.predictLoop(n,r)}finally{xm(n,t)}},e.prototype.predictOnBatch=function(t){Em(t,this.inputNames,this.feedInputShapes,!0);var e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)},e.prototype.standardizeUserDataXY=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new oh("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===Td?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(function(t,e,n){var r=wh(t.map(function(t){return t.shape[0]}));r.sort();var i=wh(e.map(function(t){return t.shape[0]}));if(i.sort(),r.length>1)throw new sh("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(i.length>1)throw new sh("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(r.length>0&&i.length>0&&!$.arraysEqual(r,i))throw new sh("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+i[0]+" target sample(s).")}(t=Nm(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=Nm(e,this.feedOutputNames,i,!1,"target")),function(t,e,n){for(var r=[kd,Dd,Rd],i=0;i<t.length;++i){var a=t[i],o=e[i],s=n[i];if(null!=o){if(o===Rd&&1===a.shape[a.shape.length-1])throw new sh("You are passing a target array of shape "+a.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=a.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 sh("A target Tensor with shape "+a.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.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new sh("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e]},e.prototype.standardizeUserData=function(t,e,n,r,i,a){return void 0===i&&(i=!0),nh(this,void 0,void 0,function(){var o,s,u,l,c,p,h,f;return rh(this,function(d){switch(d.label){case 0:if(o=this.standardizeUserDataXY(t,e,i,a),s=o[0],u=o[1],null!=n)throw new Error("sample weight is not supported yet.");if(l=null,null==r)return[3,4];c=om(r,this.outputNames),l=[],p=0,d.label=1;case 1:return p<c.length?(f=(h=l).push,[4,sm(u[p],null,c[p])]):[3,4];case 2:f.apply(h,[d.sent()]),d.label=3;case 3:return++p,[3,1];case 4:return[2,[s,u,l]]}})})},e.prototype.testLoop=function(t,e,n,r,i){var a=this;return void 0===r&&(r=0),_e(function(){var o=a.checkNumSamples(e,n,i,"steps"),s=[];if(r>0)throw new uh("Verbose mode is not implemented yet.");if(null!=i)throw new uh("steps mode in testLoop() is not implemented yet");for(var u=vm(o,n),l=on(af(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=uf(l,p,h-p),d=gm(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(an(0));for(g=0;g<m.length;++g){var v=m[g];s[g]=$s(s[g],su(h-p,v))}}for(g=0;g<s.length;++g)s[g]=Zs(s[g],o);return s})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;hh(t,r)>1&&(i+="_"+hh(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=[],r=e.slice(0,t.inputs.length),i=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),a=e.slice(t.inputs.length+t.outputs.length,t.inputs.length+2*t.outputs.length),o=[],s=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer_.minimize(function(){for(var e=[],s=0;s<t.inputs.length;++s)e.push({key:t.inputs[s],value:r[s]});var u,l=new tm(e),c=rm(t.outputs,l,{training:!0});for(s=0;s<t.lossFunctions.length;++s){var p=(0,t.lossFunctions[s])(i[s],c[s]);null!=a[s]&&(p=um(p,a[s]));var h=bl(p);n.push(h),u=0===s?p:$s(u,p)}for(s=0;s<t.metricsTensors.length;++s){var f=void 0;if(t.outputs.length>1&&s<t.outputs.length)f=n[s];else{var d=t.metricsTensors[s][0],m=t.metricsTensors[s][1];f=bl(d(i[m],c[m]))}ze(f),o.push(f)}return u=bl(u),t.calculateLosses().forEach(function(t){u=$s(u,t)}),u},!0,s)].concat(o)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return _e(function(){for(var n,r=[],i=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=[],s=0;s<t.inputs.length;++s)o.push({key:t.inputs[s],value:i[s]});var u=new tm(o),l=rm(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=bl(c(a[s],l[s]));n=0===s?p:$s(n,p),r.push(n)}for(s=0;s<t.metricsTensors.length;++s){var h=t.metricsTensors[s][0],f=t.metricsTensors[s][1],d=bl(h(a[f],l[f]));r.push(d)}return r})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),nh(this,void 0,void 0,function(){return rh(this,function(r){return[2,ym(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){return[2,hm(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return nh(this,void 0,void 0,function(){var n,r,i,a,o,s,u,l,c;return rh(this,function(p){switch(p.label){case 0:return[4,this.standardizeUserData(t,e)];case 1:n=p.sent(),r=n[0],i=n[1],a=this.makeTrainFunction(),o=a(r.concat(i)),s=[],u=0,l=o,p.label=2;case 2:return u<l.length?[4,l[u].data()]:[3,5];case 3:c=p.sent(),s.push(c[0]),p.label=4;case 4:return u++,[3,2];case 5:return Fe(o),[2,fh(s)]}})})},e.prototype.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||e.push({name:r[a].originalName,tensor:i[a]});return e},Object.defineProperty(e.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(t){this.optimizer_!==t&&(this.optimizer_=t,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),e.prototype.dispose=function(){var e=t.prototype.dispose.call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=Oe().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Oe().numTensors}return e},e.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=mh(this.loss);else if(Array.isArray(this.loss)){for(var e=0,n=this.loss;e<n.length;e++)if("string"!=typeof n[e])throw new Error("Serialization of non-string loss is not supported.");t=this.loss.map(function(t){return mh(t)})}else{var r=Object.keys(this.loss);t={};for(var i=this.loss,a=0,o=r;a<o.length;a++){var s=o[a];if("string"!=typeof i[s])throw new Error("Serialization of non-string loss is not supported.");t[s]=mh(i[s])}}return t},e.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[mh(qd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(t){return mh(qd(t))});var t={};for(var e in this.metrics)t[e]=mh(qd(this.metrics[e]));return t},e.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},e.prototype.loadTrainingConfig=function(t){if(null!=t.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=t.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=t.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var e,n,r=Ed(Qd(t.optimizer_config));if("string"==typeof t.loss)e=gh(t.loss);else if(Array.isArray(t.loss))e=t.loss.map(function(t){return gh(t)});else if(null!=t.loss)for(var i in e={},t.loss)e[i]=gh(t.loss[i]);if(Array.isArray(t.metrics))n=t.metrics.map(function(t){return gh(t)});else if(null!=t.metrics)for(var i in n={},t.metrics)n[i]=gh(t.metrics[i]);this.compile({loss:e,metrics:n,optimizer:r})},e.prototype.save=function(t,e){return nh(this,void 0,void 0,function(){var n,r,i,a,o,s,u,l,c,p,h,f,d,m;return rh(this,function(g){switch(g.label){case 0:if("string"==typeof t){if(0===(n=Ep.getSaveHandlers(t)).length)throw new sh("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new sh("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new sh("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,Ep.encodeWeights(this.getNamedWeights(e))];case 1:return r=g.sent(),i=!1,a=null,o=this.toJSON(a,i),s={modelTopology:o,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers 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i=r.getClassName().toLowerCase();r.name=$f(i)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],wh(r.inputs).length!==r.inputs.length)throw new sh("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map(function(t){return t.name}));wh(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(t){return t.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[],r.internalContainerRefs=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(k=o[a]).sourceLayer,u=k.nodeIndex,l=k.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(l)}for(var c=0,p=r.inputs;c<p.length;c++)s=(k=p[c]).sourceLayer,u=k.nodeIndex,l=k.tensorIndex,ph(0===u,"input layer has >1 nodes"),ph(0===l,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(l);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof pd))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+h+" (0-based) originates from layer type "+s.getClassName()+".");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var f=0,d=r.outputLayers;f<d.length;f++)s=d[f],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map(function(t){return t.shape}),r.internalOutputShapes=r.outputs.map(function(t){return t.shape});for(var m={},g={},v={},y={},b={},x=[],w=function(t,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=t.sourceLayer,o=t.nodeIndex,s=t.tensorIndex);var u=a.inboundNodes[o];if(-1!==i.indexOf(u))throw new oh("The tensor "+t.name+' at layer "'+a.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(u)&&i.push(u);for(var l=u.inboundLayers.length,c=0;c<l;c++){var p=u.inputTensors[c],h=u.inboundLayers[c],f=u.nodeIndices[c],d=u.tensorIndices[c];w(p,n,i,h,f,d)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);x.push(u)}},C=[],N=[],E=0,S=r.outputs;E<S.length;E++){var k=S[E];w(k,C,N)}for(var I=0,A=x.slice().reverse();I<A.length;I++){g[(Y=A[I]).id]=Y,Y.id in m||(m[Y.id]=0);var R=m[Y.id],T=null==v[Y.outboundLayer.id]?0:v[Y.outboundLayer.id];for(R=Math.max(R,T),v[Y.outboundLayer.id]=R,y[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=R,h=0;h<Y.inboundLayers.length;h++){var D=Y.inboundLayers[h],O=(u=Y.nodeIndices[h],D.inboundNodes[u]),_=null==m[O.id]?0:m[O.id];m[O.id]=Math.max(R+1,_),g[O.id]=O}}var F={};for(var z in m)(R=m[z])in F||(F[R]=[]),F[R].push(g[z]);var M={};for(var L in v)(R=v[L])in M||(M[R]=[]),M[R].push(y[L]);var P=Object.keys(M).map(function(t){return parseInt(t,10)}).sort(xh);r.layers=[];for(var B=0,W=P;B<W.length;B++){var V=M[R=W[B]];V.sort(function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0});for(var U=0,j=V;U<j.length;U++)(s=j[U])instanceof e&&r.internalContainerRefs.push(s),r.layers.push(s)}r.layersByDepth=M,P=Object.keys(F).map(function(t){return parseInt(t,10)}).sort(xh);for(var G=r.inputs.slice(),q=[],H=0,K=P;H<K.length;H++)for(var $=0,X=F[R=K[H]];$<X.length;$++){var Y;if(null!=(s=(Y=X[$]).outboundLayer)){for(var J=0,Z=Y.inputTensors;J<Z.length;J++)if(k=Z[J],-1===G.indexOf(k))throw new oh("Graph disconnected: cannot obtain value for tensor "+k+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+q);for(var Q=0,tt=Y.outputTensors;Q<tt.length;Q++)k=tt[Q],G.push(k);q.push(s.name)}}r.nodesByDepth=F;for(var et=r.layers.map(function(t){return t.name}),nt=function(t){var e=et.filter(function(e){return e===t}).length;if(1!==e)throw new oh('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(et))},rt=0,it=et;rt<it.length;rt++)nt(it[rt]);return r.outboundNodes=[],r.inboundNodes=[],new sd({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(t){return null}),outputMasks:r.outputs.map(function(t){return null}),inputShapes:r.inputs.map(function(t){return t.shape}),outputShapes:r.outputs.map(function(t){return t.shape})}),r.built=!0,r._refCount=1,r}return Qp(e,t),e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){this.assertNotDisposed();var t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var e=0,n=this.layers;e<n.length;e++){var r=n[e];t.numDisposedVariables+=r.dispose().numDisposedVariables}for(var i=0,a=this.internalContainerRefs;i<a.length;i++){var o=a[i];t.numDisposedVariables+=o.dispose().numDisposedVariables}}return t.refCountAfterDispose=this._refCount,t},Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.layers.forEach(function(e){e._trainableWeights.forEach(function(e){return e.trainable=t})}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new sh("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 t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t=t.concat(r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.layers;a<o.length;a++)r=o[a],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n={},r=0,i=0,a=this.layers;i<a.length;i++)for(var o=0,s=a[i].weights;o<s.length;o++){var u=s[o];if(null!=n[u.originalName])throw new sh("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var l=[];for(var c in t){if(null!=n[c])l.push([n[c],t[c]]);else if(e)throw new sh("Provided weight data has no target variable: "+c);delete n[c]}if(e){var p=[];for(var h in n)p.push(h);if(p.length>0)throw new sh(p.length+" of "+r+" weights are not set: "+p)}rd(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.2.11",e.backend="TensorFlow.js",e},e.prototype.toJSON=function(t,e){void 0===e&&(e=!0);var n=function t(e,n){if(null===e||void 0===e)return null;if("string"==typeof e)return mh(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var r=[],i=e.length,a=0;a<i;++a){var o=e[a];Zd(n,a,o)?r.push(o):r.push(t(o,n))}return r}for(var s={},u=0,l=Object.keys(e);u<l.length;u++){var c=l[u],p=e[c];s[mh(c)]="name"!==c&&"className"!==c||"string"!=typeof p?t(p,c):p}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return _e(function(){t=dh(t);for(var r=new tm,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return rm(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return _e(function(){var r;return t=dh(t),r=null==e?ch(null,t.length):dh(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=Yf(t);if(e.length!==this.inputLayers.length)throw new sh("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var i=this.inputLayers[r],a=e[r];n[N=i.name+"_0_0"]=a}var o=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(xh);if(o.length>1)for(var s=0,u=o;s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){var h=p[c];if(i=h.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],v=h.tensorIndices[d],y=n[N=m.name+"_"+g+"_"+v];f.push(y)}var b=Yf(i.computeOutputShape(fh(f))),x=i.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[N=i.name+"_"+x+"_"+d]=b[d]}}var w=[],C=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],x=this.outputLayersNodeIndices[r],v=this.outputLayersTensorIndices[r];var N=i.name+"_"+x+"_"+v;C.push(N)}for(r=0;r<C.length;r++){var E=C[r];ph(E in n),w.push(n[E])}return fh(w)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=ch(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=t[r],o=e[r];n[i.id]=[a,o]}for(var s=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(xh);s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){for(var h=p[c],f=h.outboundLayer,d=h.inputTensors,m=h.outputTensors,g=new Array,v=0,y=d;v<y.length;v++)(i=y[v]).id in n&&g.push(n[i.id]);if(g.length===d.length){var b={},x=void 0,w=void 0,C=void 0,N=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var E=g[0],S=E[0],k=E[1];null==b.mask&&(b.mask=k),C=dh(f.call(S,b)),N=dh(f.computeMask(S,k)),x=[S],w=[k]}else x=g.map(function(t){return t[0]}),w=g.map(function(t){return t[1]}),null==b.mask&&(b.mask=w),C=dh(f.call(x,b)),N=dh(f.computeMask(x,w));if(f.activityRegularizer)throw new uh("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<m.length;++r)i=m[r],a=C[r],o=N[r],n[i.id]=[a,o]}}for(var I=[],A=[],R=[],T=0,D=this.outputs;T<D.length;T++){ph((i=D[T]).id in n,"Could not compute output "+i.name+" : "+i.id);var O=n[i.id],_=O[0];o=O[1],R.push(_.shape),I.push(_),A.push(o)}return[I,A,R]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof e?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=e.nodeKey(o,s);this.containerNodes.has(u)&&(r[u]=n,n+=1)}}return r},e.prototype.getLayer=function(t,e){if(null!=e){if(this.layers.length<=e)throw new sh("Was asked to retrieve layer at index "+e+", but model only has "+this.layers.length+" layer(s).");return this.layers[e]}if(null==t)throw new sh("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===t)return i}throw new sh("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return _e(function(){for(var n=[],r=0,i=t.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=e.nodeKey(a,o);t.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(x=a[i]).getClassName(),s=x.getConfig(),u=[],l=0;l<x.inboundNodes.length;l++){var c=x.inboundNodes[l],p=e.nodeKey(x,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+x.name+" was passed non-serializable keyword arguments: "+c.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),h={}}if(c.inboundLayers.length>0){for(var f=[],d=0;d<c.inboundLayers.length;d++){var m=c.inboundLayers[d],g=c.nodeIndices[d],v=c.tensorIndices[d];null==(C=n[e.nodeKey(m,g)])&&(C=0),f.push([m.name,C,v,h])}u.push(f)}}}var y={};y.name=x.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var x=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p)&&(null!==(C=n[p])&&void 0!==C||(C=0),v=this.inputLayersTensorIndices[d],b.push([x.name,C,v]))}t.inputLayers=b;var w=[];for(d=0;d<this.outputLayers.length;d++){var C;if(x=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p))null!==(C=n[p])&&void 0!==C||(C=0),v=this.outputLayersTensorIndices[d],w.push([x.name,C,v])}return t.outputLayers=w,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},a={};function o(t,e){t.name in a?a[t.name].push(e):a[t.name]=[e]}function s(t,e){for(var n,r=[],a=0,s=e;a<s.length;a++){var u=s[a],l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in i))return void o(t,e);var h=i[l];if(h.inboundNodes.length<=c)return void o(t,e);var f=h.inboundNodes[c];r.push(f.outputTensors[p])}r.length>0&&t.apply(fh(r),n)}function u(t){var n=t.name,a=Ed(t,null!=e.customObjects?e.customObjects:{});a.setFastWeightInitDuringBuild(r),i[n]=a,t.inboundNodes.forEach(function(t){if(!(t instanceof Array))throw new sh("Corrupted configuration, expected array for nodeData: "+t);o(a,t)})}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!Ch(a);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((R=i[m.name]).name in a){var g=a[R.name];delete a[R.name];for(var v=0,y=g;v<y.length;v++)s(R,y[v])}}for(var b=[],x=[],w=0,C=e.inputLayers;w<C.length;w++){var N=(m=C[w])[0],E=m[1],S=m[2];ph(N in i);var k=(R=i[N]).inboundNodes[E].outputTensors;b.push(k[S])}for(var I=0,A=e.outputLayers;I<A.length;I++){var R;N=(m=A[I])[0],E=m[1],S=m[2],ph(N in i),k=(R=i[N]).inboundNodes[E].outputTensors,x.push(k[S])}return new t({inputs:b,outputs:x,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new sh("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 t=0,e=this.layers;t<e.length;t++)if(e[t].stateful)return!0;return!1},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){var t=this;_e(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(ld));function km(t,e){return nh(this,void 0,void 0,function(){var n;return rh(this,function(r){if(null==e&&(e={}),"string"==typeof t){if(0===(n=Ep.getLoadHandlers(t,e.onProgress)).length)n.push(Ep.browserHTTPRequest(t,e));else if(n.length>1)throw new sh("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return nh(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p;return rh(this,function(h){switch(h.label){case 0:if(null==n&&(n={}),null==t.load)throw new sh("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(r=h.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=null==n.strict||n.strict,o=null!=r.weightData&&null!=r.weightSpecs&&a,s=Ed(Qd(i),e,o),null!=(u=r.trainingConfig)&&s.loadTrainingConfig(u),null!=r.userDefinedMetadata&&s.setUserDefinedMetadata(r.userDefinedMetadata),null==r.weightData)return[3,4];if(null==r.weightSpecs)throw new sh("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return l=function(t,e){var n=Ep.decodeWeights(t,e),r={},i=[];return e.forEach(function(t){"optimizer"===t.group?i.push({name:t.name,tensor:n[t.name]}):r[t.name]=n[t.name]}),{modelWeights:r,optimizerWeights:i}}(r.weightData,r.weightSpecs),c=l.modelWeights,p=l.optimizerWeights,s.loadWeights(c,a),null!=s.optimizer&&p.length>0?[4,s.optimizer.setWeights(p)]:[3,3];case 2:h.sent(),h.label=3;case 3:Fe(c),Fe(p.map(function(t){return t.tensor})),h.label=4;case 4:return[2,s]}})})}(t,void 0,e)]})})}Op.registerClass(Sm);var Im=function(t){function e(e){var n=t.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},n.trainable=!0,n.built=!1,n.name=null!=e.name?e.name:$f("sequential_"),null!=e.layers)for(var r=0,i=e.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return Qp(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new sh("Negative dimension size caused by adding layer "+t.name+" with input shape ["+t.inboundNodes[0].inputTensors[0].shape+"]")},e.prototype.add=function(t){var n,r=t instanceof e||t instanceof Sm;if(r){if(1!==(n=t).outputs.length)throw new sh("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 sh("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===t.inboundNodes.length){if(null==t.batchInputShape)throw new sh("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=hd({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new sh("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+t.name+" which has "+t.inboundNodes.length+" pre-existing inbound connections.");if(1!==t.inboundNodes[0].outputTensors.length)throw new sh("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];var i=n.inboundNodes[r];if(0===i.inboundLayers.length)return i.inputTensors;for(var a=[],o=0;o<i.inboundLayers.length;o++)for(var s=0,u=t(i.inputTensors[o],i.inboundLayers[o],i.nodeIndices[o]);s<u.length;s++){var l=u[s];-1===a.indexOf(l)&&a.push(l)}return a}(this.outputs[0])}this.inboundNodes=[],new sd({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:ch(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var a=t.apply(this.outputs[0]);if(Array.isArray(a))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(t),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1},e.prototype.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 t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},e.prototype.call=function(t,e){return null==this.model&&this.build(),this.model.call(t,e)},e.prototype.build=function(t){if(Zf(t),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 Sm({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},e.prototype.countParams=function(){return this.built||this.build(),t.prototype.countParams.call(this)},e.prototype.summary=function(e,n,r){void 0===r&&(r=console.log),this.built||this.build(),t.prototype.summary.call(this,e,n,r)},e.prototype.setWeights=function(t){null==this.model&&this.build(),this.model.setWeights(t)},e.prototype.evaluate=function(t,e,n){if(void 0===n&&(n={}),!this.built)throw new oh("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){if(!this.built)throw new oh("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(t,e)]})})},e.prototype.predict=function(t,e){return void 0===e&&(e={}),null==this.model&&this.build(),this.model.predict(t,e)},e.prototype.predictOnBatch=function(t){return null==this.model&&this.build(),this.model.predictOnBatch(t)},e.prototype.compile=function(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},Object.defineProperty(e.prototype,"optimizer",{get:function(){return null==this.model?void 0:this.model.optimizer},set:function(t){this.model.optimizer=t},enumerable:!0,configurable:!0}),e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),nh(this,void 0,void 0,function(){return rh(this,function(r){if(!this.built)throw new oh("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){if(!this.built)throw new oh("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},e.prototype.trainOnBatch=function(t,e){return nh(this,void 0,void 0,function(){return rh(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},e.fromConfig=function(t,n,r,i){var a;void 0===r&&(r={}),void 0===i&&(i=!1);var o={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new sh("Legacy serialization format not supported yet.");a=n}else $.assert(null!=n.layers,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),a=n.layers,delete n.layers,o=n;var s=new t(o);if(!(s instanceof e))throw new uh("Sequential.fromConfig called on non-Sequential input: "+s);for(var u=0,l=a;u<l.length;u++){var c=Ed(l[u],void 0,i);i&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},Object.defineProperty(e.prototype,"stopTraining",{get:function(){if(null==this.model)throw new sh("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(t){if(null==this.model)throw new sh("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e],i={};i.className=r.getClassName(),i.config=r.getConfig(),t.push(i)}return t},e.className="Sequential",e}(Sm);function Am(t){return hd(t)}Op.registerClass(Im);var Rm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.getConfig=function(){return{}},e}(Op.Serializable),Tm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=1),function(t,e){if(void 0===e&&(e=1),1!==e)throw new uh("Support for alpha values other than 1 ("+e+") is not implemented yet.");return El(t)}(t,e)},e.className="elu",e}(Rm);Op.registerClass(Tm);var Dm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return Rl(t)},e.className="selu",e}(Rm);Op.registerClass(Dm);var Om=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return Il(t)},e.className="relu",e}(Rm);Op.registerClass(Om);var _m=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return _e(function(){return ru(6,Il(t))})},e.className="relu6",e}(Rm);Op.registerClass(_m);var Fm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(Rm);Op.registerClass(Fm);var zm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return ms(t)},e.className="sigmoid",e}(Rm);Op.registerClass(zm);var Mm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return function(t){return _e(function(){var e=$s(.5,su(.2,t));return es(e,0,1)})}(t)},e.className="hardSigmoid",e}(Rm);Op.registerClass(Mm);var Lm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return Cs(t)},e.className="softplus",e}(Rm);Op.registerClass(Lm);var Pm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return function(t){return _e(function(){return Zs(t,Ko(t).add(1))})}(t)},e.className="softsign",e}(Rm);Op.registerClass(Pm);var Bm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t){return Is(t)},e.className="tanh",e}(Rm);Op.registerClass(Bm);var Wm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Rr(t,e)},e.className="softmax",e}(Rm);Op.registerClass(Wm);var Vm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Tr(t,e)},e.className="logSoftmax",e}(Rm);function Um(t){return t.getClassName()}function jm(t,e){return void 0===e&&(e={}),bh(t,Op.SerializationMap.getMap().classNameMap,e,"activation")}function Gm(t){var e;return null==t?jm(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},jm(e)):t instanceof Rm?t:jm(t)}function qm(t){if(null!=t&&"object"!=typeof t)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+t)}Op.registerClass(Vm);var Hm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e}(Op.Serializable),Km=function(t){function e(e){var n=t.call(this)||this;return qm(e),n.l1=null==e||null==e.l1?.01:e.l1,n.l2=null==e||null==e.l2?.01:e.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}return Qp(e,t),e.prototype.apply=function(t){var e=this;return _e(function(){var n=fn([1]);return e.hasL1&&(n=$s(n,Cl(su(e.l1,Ko(t))))),e.hasL2&&(n=$s(n,Cl(su(e.l2,vf(t))))),n.asScalar()})},e.prototype.getConfig=function(){return{l1:this.l1,l2:this.l2}},e.fromConfig=function(t,e){return new t({l1:e.l1,l2:e.l2})},e.className="L1L2",e}(Hm);Op.registerClass(Km);var $m={l1l2:"L1L2"};function Xm(t){return yh(t)}function Ym(t,e){return void 0===e&&(e={}),bh(t,Op.SerializationMap.getMap().classNameMap,e,"regularizer")}function Jm(t){return null==t?null:"string"==typeof t?Ym({className:t in $m?$m[t]:t,config:{}}):t instanceof Hm?t:Ym(t)}var Zm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,null!=e&&(n.maxValue=e.maxValue),n}return Qp(e,t),e.prototype.call=function(t,e){t=Jf(t);var n=Il(t);return null!=this.maxValue&&(n=es(n,0,this.maxValue)),n},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={maxValue:this.maxValue},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ReLU",e}(ld);Op.registerClass(Zm);var Qm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_ALPHA=.3,null==e&&(e={}),n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return Qp(e,t),e.prototype.call=function(t,e){var n=Jf(t);return Sl(n,this.alpha)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LeakyReLU",e}(ld);Op.registerClass(Qm);var tg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),n.supportsMasking=!0,n.alphaInitializer=jf(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=Jm(e.alphaRegularizer),n.alphaConstraint=Mh(e.alphaConstraint),null==e.sharedAxes)n.sharedAxes=null;else if(Array.isArray(e.sharedAxes))n.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new sh("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return Qp(e,t),e.prototype.build=function(t){var e=(t=Zf(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(a=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var a=1;a<t.length;++a)i[a]=t[a];this.inputSpec=[new id({ndim:t.length,axes:i})],this.built=!0},e.prototype.call=function(t,e){return t=Jf(t),kl(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:Uf(this.alphaInitializer),alphaRegularizer:Xm(this.alphaRegularizer),alphaConstraint:Fh(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(ld);Op.registerClass(tg);var eg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==n.DEFAULT_ALPHA)throw new uh("Non-default alpha value ("+e.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return Qp(e,t),e.prototype.call=function(t,e){var n=Jf(t);return El(n)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ELU",e}(ld);Op.registerClass(eg);var ng=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_THETA=1,null==e&&(e={}),n.theta=null==e.theta?n.DEFAULT_THETA:e.theta,n}return Qp(e,t),e.prototype.call=function(t,e){var n=Jf(t);return n.mul(of(n.greater(this.theta),"float32"))},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={theta:this.theta},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ThresholdedReLU",e}(ld);Op.registerClass(ng);var rg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_AXIS=1,null==e&&(e={}),n.softmax=(new Wm).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return Qp(e,t),e.prototype.call=function(t,e){var n=Jf(t);return this.softmax(n,this.axis)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Softmax",e}(ld);function ig(t,e,n){if("number"==typeof t)return ch(t,e);if(t.length!==e)throw new sh("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var i=t[r];if(!Qh(i))throw new sh("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+i)}return t}function ag(t,e,n,r,i){return void 0===i&&(i=1),null==t?t:(a="same"===n?t:t-(e+(e-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function og(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+rf([n-e,0]);else{if("same"!==r)throw new sh("Unsupport padding mode: "+r+".");t*=e}return t}function sg(t,e){return _e(function(){return jh(e),"channelsFirst"===e?Tl(t,[0,2,3,1]):t})}function ug(t,e){return _e(function(){return jh(e),"channelsFirst"===e?Tl(t,[0,2,3,4,1]):t})}function lg(t,e,n,r,i,a,o,s){return void 0===r&&(r=[1,1]),void 0===i&&(i="valid"),void 0===s&&(s=null),_e(function(){if(null==a&&(a="channelsLast"),jh(a),3!==t.rank&&4!==t.rank)throw new sh("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new sh("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+t.rank+".");var u=sg(t,a);if("causal"===i)throw new uh("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Ec.conv2d({x:u,filter:e,strides:r,pad:"same"===i?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===a&&(u=Tl(u,[0,3,1,2])),u})}Op.registerClass(rg);var cg=function(t){function e(n,r){var i=t.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),i.rank=n,Sh(i.rank,"rank"),1!==i.rank&&2!==i.rank&&3!==i.rank)throw new uh("Convolution layer for rank other than 1, 2, or 3 ("+i.rank+") is not implemented yet.");if(i.kernelSize=ig(r.kernelSize,n,"kernelSize"),i.strides=ig(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,Gh(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,jh(i.dataFormat),i.activation=Gm(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=jf(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=Mh(r.biasConstraint),i.biasRegularizer=Jm(r.biasRegularizer),i.activityRegularizer=Jm(r.activityRegularizer),i.dilationRate=ig(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new sh("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(i.dilationRate));if(2===i.rank){if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new sh("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(i.dilationRate))}else if(3===i.rank)if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate,i.dilationRate];else if(3!==i.dilationRate.length)throw new sh("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(i.dilationRate));return i}return Qp(e,t),e.verifyArgs=function(t){if(ph("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!Eh(t.kernelSize,"number",1,3))throw new sh("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(t.kernelSize)+".")},e.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Um(this.activation),useBias:this.useBias,biasInitializer:Uf(this.biasInitializer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),biasConstraint:Fh(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ld),pg=function(t){function e(n,r){var i=t.call(this,n,r)||this;return i.kernel=null,e.verifyArgs(r),i.filters=r.filters,Sh(i.filters,"filters"),i.kernelInitializer=jf(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=Mh(r.kernelConstraint),i.kernelRegularizer=Jm(r.kernelRegularizer),i}return Qp(e,t),e.prototype.build=function(t){var e;t=Zf(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new sh("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,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:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return _e(function(){var e;t=Jf(t);var r=null==n.bias?null:n.bias.read(),i=kh(n.activation.getClassName());if(null!=i&&2===n.rank)e=lg(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,i);else{if(1===n.rank)e=function(t,e,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i="valid"),void 0===o&&(o=1),_e(function(){if(null==a&&(a="channelsLast"),jh(a),3!==t.shape.length)throw new sh("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new sh("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new sh("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===a&&(t=Tl(t,[0,2,1])),"causal"===i)throw new uh("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=zu(t,e,r,"same"===i?"same":"valid","NWC",o);return null!=n&&(s=bf(s,n)),s})}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=lg(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new uh("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,r,i,a,o){return void 0===r&&(r=[1,1,1]),void 0===i&&(i="valid"),_e(function(){if(null==a&&(a="channelsLast"),jh(a),4!==t.rank&&5!==t.rank)throw new sh("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new sh("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var s=ug(t,a);if("causal"===i)throw new uh("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=Lu(s,e,r,"same"===i?"same":"valid","NDHWC",o),null!=n&&(s=bf(s,n)),"channelsFirst"===a&&(s=Tl(s,[0,4,1,2,3])),s})}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(e=n.activation.apply(e))}return e})},e.prototype.computeOutputShape=function(t){t=Zf(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var i=ag(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(i)}var a=[t[0]];return"channelsLast"===this.dataFormat?(a=a.concat(e)).push(this.filters):(a.push(this.filters),a=a.concat(e)),a},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:Uf(this.kernelInitializer),kernelRegularizer:Xm(this.kernelRegularizer),kernelConstraint:Fh(this.kernelConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.verifyArgs=function(t){if(!("filters"in t)||"number"!=typeof t.filters||t.filters<1)throw new sh("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(cg),hg=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return Qp(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!Eh(t.kernelSize,"number",1,2))throw new sh("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(pg);Op.registerClass(hg);var fg=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return Qp(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&(!Array.isArray(t.kernelSize)||1!==t.kernelSize.length&&3!==t.kernelSize.length))throw new sh("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(pg);Op.registerClass(fg);var dg=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new id({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new sh("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return Qp(e,t),e.prototype.build=function(t){var e;if(4!==(t=Zf(t)).length)throw new sh("Input should have rank 4; Received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new sh("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"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 id({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return _e(function(){var e=Jf(t);if(4!==e.shape.length)throw new sh("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,i,a=e.shape,o=a[0];"channelsFirst"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],u=a[i],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,og(s,p,l,n.padding),og(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Tl(e,[0,2,3,1]));var d=Gu(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=Tl(d,[0,3,1,2])),null!=n.bias&&(d=bf(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=Zf(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return i[e]=this.filters,i[n]=og(i[n],s,a,this.padding),i[r]=og(i[r],u,o,this.padding),i},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(hg);Op.registerClass(dg);var mg=function(t){function e(e){return t.call(this,2,e)||this}return Qp(e,t),e.className="SeparableConv2D",e}(function(t){function e(e,n){var r=t.call(this,e,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new sh("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new sh("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 sh("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=jf(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Jm(n.depthwiseRegularizer),r.depthwiseConstraint=Mh(n.depthwiseConstraint),r.pointwiseInitializer=jf(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Jm(n.pointwiseRegularizer),r.pointwiseConstraint=Mh(n.pointwiseConstraint),r}return Qp(e,t),e.prototype.build=function(t){var e;if((t=Zf(t)).length<this.rank+2)throw new sh("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n]||t[n]<0)throw new sh("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],i=this.kernelSize.concat([r,this.depthMultiplier]),a=[],o=0;o<this.rank;++o)a.push(1);a.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new id({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return _e(function(){var e;if(t=Jf(t),1===n.rank)throw new uh("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Tl(t,[0,2,3,1])),e=ju(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=bf(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Tl(e,[0,3,1,2])),e})},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Uf(this.depthwiseInitializer),e.pointwiseInitializer=Uf(this.pointwiseInitializer),e.depthwiseRegularizer=Xm(this.depthwiseRegularizer),e.pointwiseRegularizer=Xm(this.pointwiseRegularizer),e.depthwiseConstraint=Fh(this.depthwiseConstraint),e.pointwiseConstraint=Fh(this.pointwiseConstraint),e},e.className="SeparableConv",e}(pg));Op.registerClass(mg);var gg=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Qp(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!Eh(t.kernelSize,"number",1,1))throw new sh("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(pg);Op.registerClass(gg);var vg=function(t){function e(e){var n=t.call(this,e)||this;return"number"==typeof e.cropping?n.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?n.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:n.cropping=e.cropping,n.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,n.inputSpec=[{ndim:4}],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},e.prototype.call=function(t,e){var n=this;return _e(function(){return t=Jf(t),"channelsLast"===n.dataFormat?cf(cf(t,n.cropping[0][0],t.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],t.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):cf(cf(t,n.cropping[0][0],t.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],t.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},e.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Cropping2D",e}(ld);Op.registerClass(vg);var yg=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==e.size?n.DEFAULT_SIZE:e.size,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,n}return Qp(e,t),e.prototype.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}return e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2],[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return _e(function(){var e=Jf(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=Tl(e,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=e.resizeNearestNeighbor([i,a]);return Tl(o,[0,3,1,2])}return i=n.size[0]*r[1],a=n.size[1]*r[2],e.resizeNearestNeighbor([i,a])})},e.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="UpSampling2D",e}(ld);Op.registerClass(yg);var bg=function(t){function e(e){var n=t.call(this,2,e)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,n.depthwiseInitializer=jf(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Mh(e.depthwiseConstraint),n.depthwiseRegularizer=Jm(e.depthwiseRegularizer),n}return Qp(e,t),e.prototype.build=function(t){if((t=Zf(t)).length<4)throw new sh("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(t)+".");var e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new sh("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],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},e.prototype.call=function(t,e){var n=this;return _e(function(){var e=function(t,e,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),_e(function(){null==i&&(i="channelsLast"),jh(i);var o=sg(t,i);if(4!==t.rank)throw new sh("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new sh("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return o=Wu(o,e,n,"same"===r?"same":"valid","NHWC",a),"channelsFirst"===i&&(o=Tl(o,[0,3,1,2])),o})}(t=Jf(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=bf(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=Zf(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=ag(e,this.kernelSize[0],this.padding,this.strides[0]),a=ag(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,a]:[t[0],i,a,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Uf(this.depthwiseInitializer),e.depthwiseRegularizer=Xm(this.depthwiseRegularizer),e.depthwiseConstraint=Fh(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(cg);Op.registerClass(bg);var xg=function(t){function e(e){var n=t.call(this,e)||this;return n.rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,n.supportsMasking=!0,n}return Qp(e,t),e.prototype.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t);if(0<n.rate&&n.rate<1){var i=null!=e.training&&e.training,a=n.getNoiseShape(r);return wf(function(){return xf(r,n.rate,a,n.seed)},function(){return r},i)}return t})},e.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.dispose=function(){return t.prototype.dispose.call(this)},e.className="Dropout",e}(ld);Op.registerClass(xg);var wg=function(t){function e(e){var n=t.call(this,e)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var r=null;null!=e.batchSize&&(r=e.batchSize),n.batchInputShape=[r,e.inputDim]}return n.units=e.units,Sh(n.units,"units"),n.activation=Gm(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=jf(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=jf(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Mh(e.kernelConstraint),n.biasConstraint=Mh(e.biasConstraint),n.kernelRegularizer=Jm(e.kernelRegularizer),n.biasRegularizer=Jm(e.biasRegularizer),n.activityRegularizer=Jm(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return Qp(e,t),e.prototype.build=function(t){var e,n=(t=Zf(t))[t.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:(e={},e[-1]=n,e)}],this.built=!0},e.prototype.computeOutputShape=function(t){var e=(t=Zf(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r,i=Jf(t),a=kh(n.activation.getClassName());return null!=a?r=mf(i,n.kernel.read(),a,n.bias?n.bias.read():null):(r=mf(i,n.kernel.read()),null!=n.bias&&(r=bf(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),biasInitializer:Uf(this.biasInitializer),kernelRegularizer:Xm(this.kernelRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),biasConstraint:Fh(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(ld);Op.registerClass(wg);var Cg=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=Zf(t)).slice(1);e<n.length;e++)if(null==n[e])throw new sh('The shape of the input to "Flatten" is not fully defined (got '+t.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[t[0],tf(t,1)]},e.prototype.call=function(t,e){var n=this;return _e(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new sh("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],tf(t.shape,1)];return t.reshape(e)}(Jf(t))})},e.className="Flatten",e}(ld);Op.registerClass(Cg);var Ng=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=Gm(e.activation),n}return Qp(e,t),e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:Um(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(ld);Op.registerClass(Ng);var Eg=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return _e(function(){return function(t,e){return _e(function(){if(2!==t.shape.length)throw new sh("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return ff(sf(t,1),[1,e,1])})}(t=Jf(t),n.n)})},e.prototype.getConfig=function(){var e={n:this.n},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="RepeatVector",e}(ld);Op.registerClass(Eg);var Sg=function(t){function e(e){var n=t.call(this,e)||this;n.targetShape=e.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return Qp(e,t),e.prototype.isUnknown=function(t){return t<0||null==t},e.prototype.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new sh("Can only specifiy one unknown dimension.");a=o}else i*=s}var u=tf(t);if(null!==a){if(0===i||u%i!=0)throw new sh(n);r[a]=u/i}else if(u!==i)throw new sh(n);return r},e.prototype.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},e.prototype.getConfig=function(){var e={targetShape:this.targetShape},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Reshape",e}(ld);Op.registerClass(Sg);var kg=function(t){function e(e){var n=t.call(this,e)||this;if(null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+e.dims+" instead.");var r=af(1,e.dims.length+1);if(!$.arraysEqual(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new id({ndim:n.dims.length+1})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){var e=(t=Zf(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return Tl(Jf(t),this.dimsIncludingBatch)},e.prototype.getConfig=function(){var e={dims:this.dims},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Permute",e}(ld);Op.registerClass(kg);var Ig=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,n.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,e),n},e.prototype.computeMask=function(t,e){var n=Jf(t);return dl(Su(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t),i=dl(Su(r,n.maskValue),-1,!0);return r.mul(i.asType(r.dtype))})},e.className="Masking",e}(ld);Op.registerClass(Ig);var Ag=function(t){function e(e){var n=t.call(this,e)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var r=null;null!=e.batchSize&&(r=e.batchSize),null==e.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(dh(e.inputLength))}return n.inputDim=e.inputDim,Sh(n.inputDim,"inputDim"),n.outputDim=e.outputDim,Sh(n.outputDim,"outputDim"),n.embeddingsInitializer=jf(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Jm(e.embeddingsRegularizer),n.activityRegularizer=Jm(e.activityRegularizer),n.embeddingsConstraint=Mh(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return Qp(e,t),e.prototype.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},e.prototype.warnOnIncompatibleInputShape=function(t){},e.prototype.computeMask=function(t,e){var n=this;return _e(function(){return n.maskZero?(t=Jf(t),Su(t,yn(t))):null})},e.prototype.computeOutputShape=function(t){if(t=Zf(t),null==this.inputLength)return t.concat([this.outputDim]);var e=dh(this.inputLength);if(e.length!==t.length-1)throw new sh('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var i=e[r],a=t[r+1];if(null!=i&&null!=a&&i!==a)throw new sh('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==i&&(e[n]=a),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t);return"int32"!==r.dtype&&(r=of(r,"int32")),gf(n.embeddings.read(),r.as1D()).reshape(Zf(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Uf(this.embeddingsInitializer),embeddingsRegularizer:Xm(this.embeddingsRegularizer),activityRegularizer:Xm(this.activityRegularizer),embeddingsConstraint:Fh(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(ld);Op.registerClass(Ag);var Rg=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return Qp(e,t),e.prototype.mergeFunction=function(t){throw new uh},e.prototype.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var i=t[t.length-e.length+r],a=e[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new sh("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(i)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[Zf(t)]),(t=t).length<2)throw new sh("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e=[],n=0,r=t;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&e.push(o[0]);if((e=wh(e)).length>1)throw new sh("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var i=null==t[0]?null:t[0].slice(1),a=1;a<t.length;++a){var o=null==t[a]?null:t[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=t.map(function(t){return t.length});-1===t.indexOf(null)&&1===wh(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return _e(function(){if(t=t,n.reshapeRequired){var e=[],r=t.map(function(t){return t.rank});if(-1===r.indexOf(null)){for(var i=rf(r),a=0,o=t;a<o.length;a++){for(var s=(h=o[a]).rank,u=0;u<i-s;++u)h=sf(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,c=0,p=t;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var f=h.shape,d=f[0],m=f.slice(1).concat([d]),g=h.reshape([d].concat(tf(f.slice(1))));g=(g=Tl(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var v=af(1,s).concat([0]);e.push(Tl(h,v)),l=!0}else e.push(h)}var y=n.mergeFunction(e),b=y.rank;if(l)if(null==b){var x=y.shape;m=[d=x[x.length-1]].concat(x.slice(0,x.length-1)),y=Tl(y.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(v=[b-1].concat(af(0,b-1)),y=Tl(y,v));return y}return n.mergeFunction(t)})},e.prototype.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var i=[],a=0,o=t;a<o.length;a++)null!=(r=o[a])&&null!==r[0]&&i.push(r[0]);return 1===(i=wh(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return _e(function(){if(null==e)return null;if(!Array.isArray(e))throw new sh("`mask` should be an Array");if(!Array.isArray(t))throw new sh("`inputs` should be an Array");if(e.length!==t.length)throw new sh("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+t.length+" vs "+e.length+")");if(e.every(function(t){return null==t}))return null;for(var n=(e=e.map(function(t){return null==t?t:Gn(t,0)}))[0],r=1;r<e.length-1;++r)n=Us(n,e[r]);return n})},e}(ld),Tg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.mergeFunction=function(t){return _e(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=$s(e,t[n]);return e})},e.className="Add",e}(Rg);Op.registerClass(Tg);var Dg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.mergeFunction=function(t){return _e(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=su(e,t[n]);return e})},e.className="Multiply",e}(Rg);Op.registerClass(Dg);var Og=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.mergeFunction=function(t){return _e(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=$s(e,t[n]);return su(1/t.length,e)})},e.className="Average",e}(Rg);Op.registerClass(Og);var _g=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.mergeFunction=function(t){return _e(function(){for(var e=t[0],n=1;n<t.length;++n)e=eu(e,t[n]);return e})},e.className="Maximum",e}(Rg);Op.registerClass(_g);var Fg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.mergeFunction=function(t){return _e(function(){for(var e=t[0],n=1;n<t.length;++n)e=ru(e,t[n]);return e})},e.className="Minimum",e}(Rg);Op.registerClass(Fg);var zg=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_AXIS=-1,null==e&&(e={}),n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return Qp(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new sh("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,r=t=t;n<r.length;n++)if(null!=(c=r[n])){e=!1;break}if(!e){for(var i=[],a=0;a<t.length;++a){var o=t[a].slice();o.splice(this.axis,1);for(var s=!1,u=0,l=i;u<l.length;u++){var c=l[u];if($.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new sh("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}},e.prototype.mergeFunction=function(t){var e=this;return _e(function(){return pf(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new sh("A `Concatenate` layer should be called on a list of inputs.");for(var e=t,n=e[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=e.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},e.prototype.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new sh("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new sh("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new sh("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return _e(function(){var r=!0;if(e.forEach(function(t){null==t||(r=!1)}),r)return null;for(var i=[],a=0;a<t.length;++a)null==e[a]?i.push(vn(t[a]).asType("bool")):e[a].rank<t[a].rank?i.push(Gn(e[a],-1)):i.push(e[a]);var o=bn(i,n.axis);return fl(o,-1,!1)})},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Concatenate",e}(Rg);function Mg(t,e){for(;t<0;)t+=e;return t}Op.registerClass(zg);var Lg=function(t){function e(e){var n=t.call(this,e)||this;return n.axes=e.axes,n.normalize=null!=e.normalize&&e.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return Qp(e,t),e.prototype.build=function(t){$.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0],n=t[1];if(e.length>3||n.length>3)throw new uh("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new sh("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new sh("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return Mg(e,t[n].shape.length)}):[Mg(this.axes,n.shape.length),Mg(this.axes,r.shape.length)],this.normalize&&(n=Sd(n,e[0]),r=Sd(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new uh("batchDot is not implemented for tensors of 4D or higher rank yet");if($.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),$.assert(t.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length}),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new uh("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,i=e.shape.length;null==n&&(n=[r-1,i-2]);var a=n;return _e(function(){var n,o;if(r>i){n=r-i;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(i>r){for(n=i-r,s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else n=0;if(2===t.shape.length&&2===e.shape.length)o=a[0]===a[1]?t.mulStrict(e).sum(a[0]):t.transpose([1,0]).mulStrict(e).sum(a[1]);else{var l=a[0]!==t.shape.length-1,c=a[1]===e.shape.length-1;o=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>i?r+i-3:r-1;u<p+n;++u)h.push(u);o=o.squeeze(h)}return 1===o.shape.length&&(o=o.expandDims(1)),o})}(n,r,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[Mg(this.axes,t.length),Mg(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){$.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new uh("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var i=e.concat(n);return 1===i.length&&i.push(1),i},e.prototype.computeMask=function(t,e){return null},e.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dot",e}(Rg);Op.registerClass(Lg);var Pg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t);return wf(function(){return df(r.shape,0,n.stddev).add(r)},function(){return r},e.training||!1)})},e.className="GaussianNoise",e}(ld);Op.registerClass(Pg);var Bg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e);var r=Jf(t);return n.rate>0&&n.rate<1?wf(function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(df(r.shape,1,t))},function(){return r},e.training||!1):r})},e.className="GaussianDropout",e}(ld);Op.registerClass(Bg);var Wg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n.noiseShape=e.noiseShape,n}return Qp(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||Jf(t).shape},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return _e(function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(t);return wf(function(){var e=Jf(t),i=-1.7580993408473766,a=yu(nr(r),n.rate);a=of(a,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(i,2)),-.5),s=-o*i*n.rate;return e.mul(a).add(a.add(-1).mul(i)).mul(o).add(s)},function(){return Jf(t)},e.training||!1)}return t})},e.className="AlphaDropout",e}(ld);function Vg(t,e,n,r,i,a){var o;if(void 0===a&&(a=.001),2===t.rank)o=Bs(t,e,n,r,i,a);else if(3===t.rank)o=Ws(t,e,n,r,i,a);else{if(4!==t.rank)throw new uh("batchNormalization is not implemented for array of rank "+t.rank+" yet");o=Vs(t,e,n,r,i,a)}return o}function Ug(t,e,n,r,i){return void 0===i&&(i=.001),$.arraysEqual(r.slice().sort(),af(0,t.rank-1))?function(t,e,n,r,i){return void 0===i&&(i=.001),_e(function(){var a=wl(t,r),o=a.mean,s=a.variance;return[Vg(t,o,s,n,e,i),o,s]})}(t,e,n,r,i):function(t,e,n,r,i){return void 0===i&&(i=.001),_e(function(){for(var a=wl(t,r),o=a.mean,s=a.variance,u=[],l=0,c=af(0,t.rank);l<c.length;l++){var p=c[l];-1!==r.indexOf(p)?u.push(1):u.push(t.shape[p])}var h=o.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[Vg(t,h,f,m,d,i),o,s]})}(t,e,n,r,i)}Op.registerClass(Wg);var jg=function(t){function e(e){var n=this;return null==e&&(e={}),(n=t.call(this,e)||this).supportsMasking=!0,n.axis=null==e.axis?-1:e.axis,n.momentum=null==e.momentum?.99:e.momentum,n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=jf(e.betaInitializer||"zeros"),n.gammaInitializer=jf(e.gammaInitializer||"ones"),n.movingMeanInitializer=jf(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=jf(e.movingVarianceInitializer||"ones"),n.betaConstraint=Mh(e.betaConstraint),n.gammaConstraint=Mh(e.gammaConstraint),n.betaRegularizer=Jm(e.betaRegularizer),n.gammaRegularizer=Jm(e.gammaRegularizer),n}return Qp(e,t),e.prototype.build=function(t){var e;t=Zf(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new sh("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new id({ndim:t.length,axes:(e={},e[n]=r,e)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return _e(function(){var r=null!=e.training&&e.training,i=Jf(t),a=i.shape,o=a.length,s=af(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=ch(1,o);l[u]=a[u];var c=s.slice();c.sort();var p=!$.arraysEqual(c,af(0,o).slice(0,o-1));if(!r)return function(){if(p){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,a=n.scale?n.gamma.read().reshape(l):null;return Vg(i,t,e,r,a,n.epsilon)}return Vg(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=Ug(i,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){_e(function(){var r=1-n,i=t.read(),a=i.sub(e).mul(r);t.write(i.sub(a))})};return g(n.movingMean,d,n.momentum),g(n.movingVariance,m,n.momentum),f})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Uf(this.betaInitializer),gammaInitializer:Uf(this.gammaInitializer),movingMeanInitializer:Uf(this.movingMeanInitializer),movingVarianceInitializer:Uf(this.movingVarianceInitializer),betaRegularizer:Xm(this.betaRegularizer),gammaRegularizer:Xm(this.gammaRegularizer),betaConstraint:Fh(this.betaConstraint),gammaConstraint:Fh(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(ld);Op.registerClass(jg);var Gg=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).axis=null==e.axis?-1:e.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=0,i=n.axis;r<i.length;r++){var a=i[r];if(!Number.isInteger(a))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=jf(e.betaInitializer||"zeros"),n.gammaInitializer=jf(e.gammaInitializer||"ones"),n.betaRegularizer=Jm(e.betaRegularizer),n.gammaRegularizer=Jm(e.gammaRegularizer),n.supportsMasking=!0,n}return Qp(e,t),e.prototype.build=function(t){var e=(t=Zf(t)).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]+=e);for(var r=0,i=this.axis;r<i.length;r++){var a=i[r];if(a<0||a>=e)throw new Error("Invalid axis: "+a)}if(this.axis.length!==wh(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map(function(e){return t[e]});this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},e.prototype.call=function(t,e){var n=this,r=Jf(t),i=r.shape,a=i.length;return _e(function(){for(var t=wl(r,n.axis,!0),e=t.mean,o=t.variance,s=ch(1,a),u=0,l=n.axis;u<l.length;u++){var c=l[u];s[c]=i[c]}for(var p=function(t){return null!=t&&t.shape.length!==a&&n.axis!==[a-1]?t.reshape(s):t},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],g=0;g<a;++g)-1!==n.axis.indexOf(g)?(d.push(i[g]),m.push(1)):(d.push(1),m.push(i[g]));return e=e.tile(d),o=o.tile(d),h=h.tile(m),f=f.tile(m),Vg(r,e,o,f,h,n.epsilon)})},e.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Uf(this.betaInitializer),gammaInitializer:Uf(this.gammaInitializer),betaRegularizer:Xm(this.betaRegularizer),gammaRegularizer:Xm(this.gammaRegularizer)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(ld);Op.registerClass(Gg);var qg=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)n.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new sh("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new sh("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+e.padding[0].length+" array.");if(r=e.padding[0],2!==e.padding[1].length)throw new sh("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");i=e.padding[1]}n.padding=[r,i]}return n.inputSpec=[new id({ndim:4})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=Zf(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},e.prototype.call=function(t,e){var n=this;return _e(function(){return function(t,e,n){return _e(function(){if(4!==t.rank)throw new sh("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==e&&(e=[[1,1],[1,1]]),2!==e.length||2!==e[0].length||2!==e[1].length)throw new sh("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new sh("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],$n(t,r)})}(Jf(t),n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ZeroPadding2D",e}(ld);function Hg(t,e,n,r,i,a){return _e(function(){var o;jh(i),qh(a),Gh(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==a&&(a="max"),t=sg(t,i);var s="same"===r?"same":"valid";return o="max"===a?nl(t,e,n,s):rl(t,e,n,s),"channelsFirst"===i&&(o=Tl(o,[0,3,1,2])),o})}function Kg(t,e,n,r,i,a){return _e(function(){var o;jh(i),qh(a),Gh(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==a&&(a="max"),t=ug(t,i);var s="same"===r?"same":"valid";return o="max"===a?al(t,e,n,s):ol(t,e,n,s),"channelsFirst"===i&&(o=Tl(o,[0,4,1,2,3])),o})}Op.registerClass(qg);var $g=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=2),n=t.call(this,e)||this,"number"==typeof e.poolSize)n.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new sh("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.poolSize));n.poolSize=e.poolSize}if(Sh(n.poolSize,"poolSize"),null==e.strides)n.strides=n.poolSize;else if("number"==typeof e.strides)n.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new sh("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.strides));n.strides=e.strides}return Sh(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,Gh(n.padding),n.inputSpec=[new id({ndim:3})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){var e=ag((t=Zf(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},e.prototype.call=function(t,e){var n=this;return _e(function(){n.invokeCallHook(t,e),t=sf(Jf(t),2);var r=n.poolingFunction(Jf(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return ar(r,[2])})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ld),Xg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Hg(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}($g);Op.registerClass(Xg);var Yg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Hg(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}($g);Op.registerClass(Yg);var Jg=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new sh("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides];return Sh(n.poolSize,"poolSize"),Sh(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jh(n.dataFormat),Gh(n.padding),n.inputSpec=[new id({ndim:4})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){t=Zf(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=ag(e,this.poolSize[0],this.padding,this.strides[0]),n=ag(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return _e(function(){return n.invokeCallHook(t,e),n.poolingFunction(Jf(t),n.poolSize,n.strides,n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ld),Zg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Hg(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(Jg);Op.registerClass(Zg);var Qg=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Hg(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(Jg);Op.registerClass(Qg);var tv=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new sh("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides,e.strides];return Sh(n.poolSize,"poolSize"),Sh(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jh(n.dataFormat),Gh(n.padding),n.inputSpec=[new id({ndim:5})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){t=Zf(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=ag(e,this.poolSize[0],this.padding,this.strides[0]),n=ag(n,this.poolSize[1],this.padding,this.strides[1]),r=ag(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]},e.prototype.call=function(t,e){var n=this;return _e(function(){return n.invokeCallHook(t,e),n.poolingFunction(Jf(t),n.poolSize,n.strides,n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ld),ev=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Kg(t,e,n,r,i,"max")},e.className="MaxPooling3D",e}(tv);Op.registerClass(ev);var nv=function(t){function e(e){return t.call(this,e)||this}return Qp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return jh(i),Gh(r),Kg(t,e,n,r,i,"avg")},e.className="AveragePooling3D",e}(tv);Op.registerClass(nv);var rv=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new id({ndim:3})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new uh},e}(ld),iv=function(t){function e(e){return t.call(this,e||{})||this}return Qp(e,t),e.prototype.call=function(t,e){return _e(function(){var e=Jf(t);return bl(e,1)})},e.className="GlobalAveragePooling1D",e}(rv);Op.registerClass(iv);var av=function(t){function e(e){return t.call(this,e||{})||this}return Qp(e,t),e.prototype.call=function(t,e){return _e(function(){var e=Jf(t);return yl(e,1)})},e.className="GlobalMaxPooling1D",e}(rv);Op.registerClass(av);var ov=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jh(n.dataFormat),n.inputSpec=[new id({ndim:4})],n}return Qp(e,t),e.prototype.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},e.prototype.call=function(t,e){throw new uh},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ld),sv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.call=function(t,e){var n=this;return _e(function(){var e=Jf(t);return"channelsLast"===n.dataFormat?bl(e,[1,2]):bl(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(ov);Op.registerClass(sv);var uv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.call=function(t,e){var n=this;return _e(function(){var e=Jf(t);return"channelsLast"===n.dataFormat?yl(e,[1,2]):yl(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(ov);function lv(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new sh("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function cv(t,e,n,r,i,a,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),_e(function(){var u=e.shape.length;if(u<3)throw new sh("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(af(2,u));if(e=Tl(e,l),null!=a)throw new uh("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!=i&&((i=i.asType("bool").asType("float32")).rank===u-1&&(i=Gn(i,-1)),i=Tl(i,l)),r&&(e=Xu(e,0),null!=i&&(i=Xu(i,0)));var c,p,h=[],f=n,d=e.shape[0],m=lr(e);null!=i&&(p=lr(i));for(var g,v=function(e){var n=m[e],r=_e(function(){return t(n,f)});if(null==i)c=r[0],f=r[1];else{var a=_e(function(){var t=p[e],n=vn(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map(function(e,i){return r[1][i].mul(t).addStrict(e.mul(n))})}});c=a.output,f=a.newStates}s&&h.push(c)},y=0;y<d;++y)v(y);return s&&(g=or(h,1)),[c,g,f]})}Op.registerClass(uv);var pv=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new sh("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new bv({cells:e.cell}):e.cell).stateSize)throw new sh("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new id({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return Qp(e,t),e.prototype.getStates=function(){return null==this.states_?af(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(t){return null}):this.states_},e.prototype.setStates=function(t){this.states_=t},e.prototype.computeOutputShape=function(t){Xf(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var i=[],a=0,o=e;a<o.length;a++){var s=o[a];i.push([t[0],s])}return[n].concat(i)}return n},e.prototype.computeMask=function(t,e){var n=this;return _e(function(){Array.isArray(e)&&(e=e[0]);var t=n.returnSequences?e:null;if(n.returnState){var r=n.states.map(function(t){return null});return[t].concat(r)}return t})},Object.defineProperty(e.prototype,"states",{get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t},enumerable:!0,configurable:!0}),e.prototype.build=function(t){if(null!=this.numConstants)throw new uh("Constants support is not implemented in RNN yet.");Xf(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new id({shape:[e,null,n]});var r,i=[t[0]].concat(t.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!$.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),r))throw new sh("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(t){return new id({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),_e(function(){if(!n.stateful)throw new ah("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new sh("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(t){return fn([r,t])}):n.states_=[fn([r,n.cell.stateSize])];else if(null==t)Fe(n.states_),null!=n.keptStates&&(Fe(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return fn([r,t])}):n.states_[0]=fn([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new sh("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+t.length+" state value(s). Input received: "+t);!0===e?n.keptStates.push(n.states_.slice()):Fe(n.states_);for(var i=0;i<n.states_.length;++i){var a=t[i],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,o];if(!$.arraysEqual(a.shape,s))throw new sh("State "+i+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+a.shape);n.states_[i]=a}}n.states_=n.states_.map(function(t){return ze(t.clone())})})},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=lv(e,r,i,this.numConstants);e=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new id({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof ad){var p=[e].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=t.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return _e(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,a=null==e?null:e.initialState;t=Jf(t),null==a&&(a=n.stateful?n.states_:n.getInitialState(t));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new sh("RNN Layer has "+o+" state(s) but was passed "+a.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:i},u=cv(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,a,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h})},e.prototype.getInitialState=function(t){var e=this;return _e(function(){var n=fn(t.shape);return n=sf(n=Cl(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?ff(n,[1,t]):n}):e.cell.stateSize>1?[ff(n,[1,e.cell.stateSize])]:[n]})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)},e.prototype.getConfig=function(){var e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(e.numConstants=this.numConstants);var n=this.cell.getConfig();e.cell={className:this.cell.getClassName(),config:n};var r=t.prototype.getConfig.call(this);return Object.assign(e,r),e},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=Ed(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(ld);Op.registerClass(pv);var hv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e}(ld),fv=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,Sh(n.units,"units"),n.activation=Gm(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=jf(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=jf(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=jf(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jm(e.kernelRegularizer),n.recurrentRegularizer=Jm(e.recurrentRegularizer),n.biasRegularizer=Jm(e.biasRegularizer),n.kernelConstraint=Mh(e.kernelConstraint),n.recurrentConstraint=Mh(e.recurrentConstraint),n.biasConstraint=Mh(e.biasConstraint),n.dropout=nf([1,rf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=nf([1,rf([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return Qp(e,t),e.prototype.build=function(t){t=Zf(t),this.kernel=this.addWeight("kernel",[t[t.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},e.prototype.call=function(t,e){var n=this;return _e(function(){if(2!==(t=t).length)throw new sh("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var i,a=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=xv(function(){return vn(t)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=xv(function(){return vn(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=mf(null!=o?su(t,o):t,n.kernel.read()),null!=n.bias&&(i=bf(i,n.bias.read())),null!=s&&(r=su(r,s));var u=$s(i,mf(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(hv);Op.registerClass(fv);var dv=function(t){function e(e){return e.cell=new fv(e),t.call(this,e)||this}return Qp(e,t),e.prototype.call=function(e,n){var r=this;return _e(function(){null!=r.cell.dropoutMask&&(Fe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Fe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return new t(e)},e.className="SimpleRNN",e}(pv);Op.registerClass(dv);var mv=function(t){function e(e){var n=t.call(this,e)||this;return n.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=e.units,Sh(n.units,"units"),n.activation=Gm(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Gm(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=jf(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=jf(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=jf(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jm(e.kernelRegularizer),n.recurrentRegularizer=Jm(e.recurrentRegularizer),n.biasRegularizer=Jm(e.biasRegularizer),n.kernelConstraint=Mh(e.kernelConstraint),n.recurrentConstraint=Mh(e.recurrentConstraint),n.biasConstraint=Mh(e.biasConstraint),n.dropout=nf([1,rf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=nf([1,rf([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return Qp(e,t),e.prototype.build=function(t){var e=(t=Zf(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,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},e.prototype.call=function(t,e){var n=this;return _e(function(){if(2!==(t=t).length)throw new sh("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,i=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=xv(function(){return vn(t)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=xv(function(){return vn(i)},n.recurrentDropout,r,3));var a,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=su(t,u[0]));var c=mf(t,n.kernel.read());n.useBias&&(c=bf(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=su(i,l[0]));var p=n.recurrentKernel.read(),h=En(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=mf(i,f),g=En(c,3,c.rank-1),v=g[0],y=g[1],b=g[2],x=En(m,2,m.rank-1),w=x[0],C=x[1];a=n.recurrentActivation.apply($s(v,w)),o=n.recurrentActivation.apply($s(y,C));var N=mf(su(o,i),d);s=n.activation.apply($s(b,N));var E=$s(su(a,i),su($s(1,ps(a)),s));return[E,E]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),recurrentActivation:Um(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="GRUCell",e}(hv);Op.registerClass(mv);var gv=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new mv(e),t.call(this,e)||this}return Qp(e,t),e.prototype.call=function(e,n){var r=this;return _e(function(){null!=r.cell.dropoutMask&&(Fe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Fe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),recurrentActivation:Um(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="GRU",e}(pv);Op.registerClass(gv);var vv=function(t){function e(e){var n=t.call(this,e)||this;return n.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=e.units,Sh(n.units,"units"),n.activation=Gm(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Gm(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=jf(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=jf(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=jf(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=Jm(e.kernelRegularizer),n.recurrentRegularizer=Jm(e.recurrentRegularizer),n.biasRegularizer=Jm(e.biasRegularizer),n.kernelConstraint=Mh(e.kernelConstraint),n.recurrentConstraint=Mh(e.recurrentConstraint),n.biasConstraint=Mh(e.biasConstraint),n.dropout=nf([1,rf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=nf([1,rf([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return Qp(e,t),e.prototype.build=function(t){var e,n,r=(t=Zf(t))[t.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 i=this.biasInitializer,a=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Qp(e,t),e.prototype.apply=function(t,e){var n=i.apply([a]),r=(new kf).apply([a]),o=i.apply([2*a]);return hf(hf(n,r),o)},e}(Ef)).className="CustomInit",e)}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},e.prototype.call=function(t,e){var n=this;return _e(function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new sh("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var i=t[1],a=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=xv(function(){return vn(t)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=xv(function(){return vn(i)},n.recurrentDropout,r,4));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=su(t,c[0]));var h=mf(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=su(i,p[0])),h=$s(h,mf(i,n.recurrentKernel.read())),n.useBias&&(h=bf(h,n.bias.read()));var f=En(h,4,h.rank-1),d=f[0],m=f[1],g=f[2],v=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=$s(su(s,a),su(o,n.activation.apply(g))),l=n.recurrentActivation.apply(v);var y=su(l,n.activation.apply(u));return[y,y,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),recurrentActivation:Um(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LSTMCell",e}(hv);Op.registerClass(vv);var yv=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new vv(e),t.call(this,e)||this}return Qp(e,t),e.prototype.call=function(e,n){var r=this;return _e(function(){null!=r.cell.dropoutMask&&(Fe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Fe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Um(this.activation),recurrentActivation:Um(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Uf(this.kernelInitializer),recurrentInitializer:Uf(this.recurrentInitializer),biasInitializer:Uf(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xm(this.kernelRegularizer),recurrentRegularizer:Xm(this.recurrentRegularizer),biasRegularizer:Xm(this.biasRegularizer),activityRegularizer:Xm(this.activityRegularizer),kernelConstraint:Fh(this.kernelConstraint),recurrentConstraint:Fh(this.recurrentConstraint),biasConstraint:Fh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="LSTM",e}(pv);Op.registerClass(yv);var bv=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return Qp(e,t),Object.defineProperty(e.prototype,"stateSize",{get:function(){for(var t=[],e=0,n=this.cells.slice().reverse();e<n.length;e++){var r=n[e];Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t},enumerable:!0,configurable:!0}),e.prototype.call=function(t,e){var n=this;return _e(function(){for(var r=(t=t).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=i[c],u=0===c?[t[0]].concat(r):[u[0]].concat(r),u=s.call(u,e),l.push(u.slice(1));r=[];for(var p=0,h=l.slice().reverse();p<h.length;p++){var f=h[p];r.push.apply(r,f)}return[u[0]].concat(r)})},e.prototype.build=function(t){var e;Xf(t)&&(t=t[0]),t=t,this.cells.forEach(function(n,r){$h("RNNCell_"+r,function(){n.build(t),e=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,t=[t[0],e]})}),this.built=!0},e.prototype.getConfig=function(){for(var e=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];e.push({className:i.getClassName(),config:i.getConfig()})}var a={cells:e},o=t.prototype.getConfig.call(this);return Object.assign(a,o),a},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r=[],i=0,a=e.cells;i<a.length;i++){var o=a[i];r.push(Ed(o,n))}return new t({cells:r})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++)r=o[a],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.weights)}return nd(t)},e.prototype.setWeights=function(t){for(var e=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=t.splice(a),s=0;s<i.weights.length;++s)e.push([i.weights[s],o[s]]);rd(e)},e.className="StackedRNNCells",e}(hv);function xv(t,e,n,r){function i(){return xf(t(),e)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(wf(i,t,n));return a.map(function(t){return ze(t.clone())})}return ze(wf(i,t,n).clone())}Op.registerClass(bv);var wv=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return Qp(e,t),e.prototype.build=function(t){this.built=!0},Object.defineProperty(e.prototype,"trainable",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(t){null!=this.layer&&(this.layer.trainable=t)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.layer.getWeights()},e.prototype.setWeights=function(t){this.layer.setWeights(t)},e.prototype.getConfig=function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=Ed(e.layer,n);delete e.layer;var i={layer:r};return Object.assign(i,e),new t(i)},e}(ld),Cv=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return Qp(e,t),e.prototype.build=function(e){if((e=Zf(e)).length<3)throw new sh("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(e));this.inputSpec=[{shape:e}];var n=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),t.prototype.build.call(this,e)},e.prototype.computeOutputShape=function(t){var e=[(t=Zf(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))},e.prototype.call=function(t,e){var n=this;return _e(function(){return cv(function(t,r){return[Jf(n.layer.call(t,e)),[]]},t=Jf(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(wv);Op.registerClass(Cv);var Nv="concat",Ev=function(t){function e(e){var n=t.call(this,e)||this,r=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=r,n.forwardLayer=Ed(i),r.goBackwards=!0!==r.goBackwards;var a={};if(a.className=e.layer.getClassName(),a.config=r,n.backwardLayer=Ed(a),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?Nv:e.mergeMode,function(t){Nh(Vh,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new uh("weights support is not implemented for Bidirectional layer yet.");return n._stateful=e.layer.stateful,n.returnSequences=e.layer.returnSequences,n.returnState=e.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=e.layer.inputSpec,n.numConstants=null,n}return Qp(e,t),Object.defineProperty(e.prototype,"trainable",{get:function(){return this._trainable},set:function(t){this._trainable=t,null!=this.forwardLayer&&(this.forwardLayer.trainable=t),null!=this.backwardLayer&&(this.backwardLayer.trainable=t)},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},e.prototype.setWeights=function(t){var e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))},e.prototype.computeOutputShape=function(t){var e,n,r,i=this.forwardLayer.computeOutputShape(t);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),e=i[0]):e=i[0],e=e,"concat"===this.mergeMode?(e[e.length-1]*=2,n=[e]):n=null==this.mergeMode?[e,e.slice()]:[e],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[e].concat(r).concat(r.slice()):fh(n)},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=lv(e,r,i,this.numConstants);if(e=a.inputs,r=a.initialState,i=a.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==i)return t.prototype.apply.call(this,e,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new sh("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(t){return new id({shape:t.shape})});this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=i)throw new uh("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof ad,p=0,h=o;p<h.length;p++)if(h[p]instanceof ad!==c)throw new sh("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(c){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=t.prototype.apply.call(this,f,n);return this.inputSpec=m,g}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return _e(function(){if(null!=e.mask)throw new uh("The support for masking is not implemented for Bidirectional layers yet.");var r,i,a,o,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),i=n.backwardLayer.call(t,e);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(t,Object.assign(e,{initialState:u})),i=n.backwardLayer.call(t,Object.assign(e,{initialState:l}))}return 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implemented")}},My=function(t,e,n){switch(t.op){case"Abs":case"ComplexAbs":return[Ko(Zv("x",t,e,n))];case"Acos":return[$o(Zv("x",t,e,n))];case"Acosh":return[Xo(Zv("x",t,e,n))];case"Asin":return[Yo(Zv("x",t,e,n))];case"Asinh":return[Jo(Zv("x",t,e,n))];case"Atan":return[Zo(Zv("x",t,e,n))];case"Atan2":return[Js(Zv("x",t,e,n),Zv("y",t,e,n))];case"Atanh":return[Qo(Zv("x",t,e,n))];case"Ceil":return[ts(Zv("x",t,e,n))];case"Complex":return[Qe(Zv("real",t,e,n),Zv("imag",t,e,n))];case"Cos":return[ns(Zv("x",t,e,n))];case"Cosh":return[rs(Zv("x",t,e,n))];case"Elu":return[El(Zv("x",t,e,n))];case"Erf":return[is(Zv("x",t,e,n))];case"Exp":return[as(Zv("x",t,e,n))];case"Expm1":return[os(Zv("x",t,e,n))];case"Floor":return[ss(Zv("x",t,e,n))];case"Log":return[us(Zv("x",t,e,n))];case"Log1p":return[ls(Zv("x",t,e,n))];case"Imag":return[en(Zv("x",t,e,n))];case"Neg":return[ps(Zv("x",t,e,n))];case"Reciprocal":return[hs(Zv("x",t,e,n))];case"Real":return[tn(Zv("x",t,e,n))];case"Relu":return[Il(Zv("x",t,e,n))];case"Round":return[fs(Zv("x",t,e,n))];case"Selu":return[Rl(Zv("x",t,e,n))];case"Sigmoid":return[ms(Zv("x",t,e,n))];case"Sin":return[xs(Zv("x",t,e,n))];case"Sign":return[gs(Zv("x",t,e,n))];case"Sinh":return[ws(Zv("x",t,e,n))];case"Softplus":return[Cs(Zv("x",t,e,n))];case"Sqrt":return[Ns(Zv("x",t,e,n))];case"Square":return[Es(Zv("x",t,e,n))];case"Tanh":return[Is(Zv("x",t,e,n))];case"Tan":return[ks(Zv("x",t,e,n))];case"Relu6":case"ClipByValue":return[es(Zv("x",t,e,n),Zv("clipValueMin",t,e,n),Zv("clipValueMax",t,e,n))];case"Rsqrt":return[ds(Qv(t.inputNames[0],e,n))];case"Prod":return[Nl(Zv("x",t,e,n),Zv("axes",t,e,n))];case"LeakyRelu":return[Sl(Zv("x",t,e,n),Zv("alpha",t,e,n))];default:throw 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clear_after_read = false?).");return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor},t.prototype.readMany=function(t){var e=this;return t.map(function(t){return e.read(t)})},t.prototype.write=function(t,e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error("Tried to write to index "+t+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+",\n          because the value dtype is "+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=e.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),n&&n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(n&&n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");n.tensor=e,n.written=!0,this.tensors[t]=n},t.prototype.writeMany=function(t,e){var n=this;if(t.length!==e.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+t.length+" is not the same as tensors size: "+e.length+".");t.forEach(function(t,r){return n.write(t,e[r])})},t.prototype.gather=function(t,e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+e);if(!t){t=[];for(var n=0;n<this.size();n++)t.push(n)}if(0===t.length)return nn([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),or(r,0)},t.prototype.concat=function(t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+t);if(0===this.size())return nn([],[0].concat(this.elementShape));for(var e=[],n=0;n<this.size();n++)e.push(n);var r=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),bn(r,0)},t.prototype.scatter=function(t,e){if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var n=Math.max.apply(Math,t);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(t,lr(e,0))},t.prototype.split=function(t,e){var n=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,i=t.map(function(t){return r+=t});if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var a=0===r?0:e.size/r,o=[];_e(function(){e=e.reshape([1,r,a]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:i[s-1],0],l=[1,t[s],a];o[s]=sl(e,u,l).reshape(n.elementShape)}return o});for(var s=[],u=0;u<t.length;u++)s[u]=u;this.writeMany(s,o)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),$.assert(this.shapesEqualAllowUndefinedSize(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})},t.prototype.shapesEqualAllowUndefinedSize=function(t,e){if(t.length!==e.length)return!1;for(var n=0;n<t.length;n++)if(-1!==t[n]&&-1!==e[n]&&t[n]!==e[n])return!1;return!0},t.nextId=0,t}();var Py=function(t,e,n){var r,i;switch(t.op){case"Conv1D":var a=Zv("stride",t,e,n),o=Zv("pad",t,e,n),s=Zv("dataFormat",t,e,n).toUpperCase(),u=Zv("dilation",t,e,n);return[zu(Zv("x",t,e,n),Zv("filter",t,e,n),a,o,s,u)];case"Conv2D":a=Zv("strides",t,e,n),o=Zv("pad",t,e,n),s=Zv("dataFormat",t,e,n).toUpperCase();var l=Zv("dilations",t,e,n);return[Mu(Zv("x",t,e,n),Zv("filter",t,e,n),[a[1],a[2]],o,s,[l[1],l[2]])];case"_FusedConv2D":var c=(r=Zv("fusedOps",t,e,n))[0],p=r[1],h="biasadd"===c,f="prelu"===p,d="fusedbatchnorm"===c,m=Zv("numArgs",t,e,n);if(h){if(f&&2!==m)throw new Error("Fused Conv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==m)throw new Error("Fused Conv2d with BiasAdd must have one extra argument: bias.")}if(d)throw new Error("Fused Conv2d with FusedBatchNorm is not 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b=Zv("kernelSize",t,e,n);return[rl(Zv("x",t,e,n),[b[1],b[2]],[a[1],a[2]],o)];case"MaxPool":return a=Zv("strides",t,e,n),o=Zv("pad",t,e,n),b=Zv("kernelSize",t,e,n),[nl(Zv("x",t,e,n),[b[1],b[2]],[a[1],a[2]],o)];case"AvgPool3D":return a=Zv("strides",t,e,n),o=Zv("pad",t,e,n),b=Zv("kernelSize",t,e,n),[ol(Zv("x",t,e,n),[b[1],b[2],b[3]],[a[1],a[2],a[3]],o)];case"MaxPool3D":return a=Zv("strides",t,e,n),o=Zv("pad",t,e,n),b=Zv("kernelSize",t,e,n),[al(Zv("x",t,e,n),[b[1],b[2],b[3]],[a[1],a[2],a[3]],o)];default:throw TypeError("Node type "+t.op+" is not implemented")}},By=function(t,e,n){switch(t.op){case"Fill":var r=Zv("shape",t,e,n),i=Zv("dtype",t,e,n);return[dn(r,Zv("value",t,e,n),i)];case"LinSpace":var a=Zv("start",t,e,n);return[mn(a,Zv("stop",t,e,n),Zv("num",t,e,n))];case"Multinomial":var o=Zv("logits",t,e,n),s=Zv("numSamples",t,e,n),u=Zv("seed",t,e,n);return[Hn(o,s,u)];case"OneHot":var l=Zv("indices",t,e,n),c=Zv("depth",t,e,n),p=Zv("onValue",t,e,n),h=Zv("offValue",t,e,n);return[Kn(l,c,p,h)];case"Ones":return[hn(Zv("shape",t,e,n),Zv("dtype",t,e,n))];case"OnesLike":return[vn(Zv("x",t,e,n))];case"RandomUniform":return[nr(Zv("shape",t,e,n),Zv("minval",t,e,n),Zv("maxval",t,e,n),Zv("dtype",t,e,n))];case"Range":return[gn(a=Zv("start",t,e,n),Zv("stop",t,e,n),Zv("step",t,e,n),Zv("dtype",t,e,n))];case"TruncatedNormal":r=Zv("shape",t,e,n);var f=Zv("mean",t,e,n),d=Zv("stdDev",t,e,n);return u=Zv("seed",t,e,n),[ur(r,f,d,Zv("dtype",t,e,n),u)];case"Zeros":return[fn(Zv("shape",t,e,n),Zv("dtype",t,e,n))];case"ZerosLike":return[yn(Zv("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}};var Wy=function(t,e,n){switch(t.op){case"TopKV2":var r=Zv("x",t,e,n),i=Zv("k",t,e,n),a=Zv("sorted",t,e,n),o=Ll(r,i,a);return[o.values,o.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},Vy=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=Zv("default",t,e,n);return[Qv(t.name,e,n)||r];case"Placeholder":return[Qv(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[Zv("x",t,e,n).clone()];case"IdentityN":return Zv("x",t,e,n).map(function(t){return t.clone()});case"Snapshot":return[Zv("x",t,e,n).clone()];case"Shape":return[on(Zv("x",t,e,n).shape,"int32")];case"ShapeN":return Zv("x",t,e,n).map(function(t){return on(t.shape)});case"Size":return[an(Zv("x",t,e,n).size,"int32")];case"Rank":return[an(Zv("x",t,e,n).rank,"int32")];case"NoOp":return[];case"Print":var i=Zv("x",t,e,n),a=Zv("data",t,e,n),o=Zv("message",t,e,n),s=Zv("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<a.length;u++)console.log(Array.prototype.slice.call(a[u].dataSync()).slice(0,s));return[i];default:throw TypeError("Node type "+t.op+" is not 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implemented")}},jy=function(t,e,n){switch(t.op){case"Equal":return[mu(Zv("a",t,e,n),Zv("b",t,e,n))];case"NotEqual":return[Su(Zv("a",t,e,n),Zv("b",t,e,n))];case"Greater":return[vu(Zv("a",t,e,n),Zv("b",t,e,n))];case"GreaterEqual":return[yu(Zv("a",t,e,n),Zv("b",t,e,n))];case"Less":return[wu(Zv("a",t,e,n),Zv("b",t,e,n))];case"LessEqual":return[Cu(Zv("a",t,e,n),Zv("b",t,e,n))];case"LogicalAnd":return[Us(Zv("a",t,e,n),Zv("b",t,e,n))];case"LogicalNot":return[js(Zv("a",t,e,n))];case"LogicalOr":return[Gs(Zv("a",t,e,n),Zv("b",t,e,n))];case"Select":return[Hs(Zv("condition",t,e,n),Zv("a",t,e,n),Zv("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Gy=function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Hu(Zv("a",t,e,n),Zv("b",t,e,n),Zv("transposeA",t,e,n),Zv("transposeB",t,e,n))];case"Transpose":return[Tl(Zv("x",t,e,n),Zv("perm",t,e,n))];default:throw TypeError("Node type "+t.op+" is not 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r=Zv("axis",t,e,n),i=Zv("keepDims",t,e,n),[Cl(Zv("x",t,e,n),r,i)];case"All":return r=Zv("axis",t,e,n),i=Zv("keepDims",t,e,n),[fl(Zv("x",t,e,n),r,i)];case"Any":return r=Zv("axis",t,e,n),i=Zv("keepDims",t,e,n),[dl(Zv("x",t,e,n),r,i)];case"ArgMax":return r=Zv("axis",t,e,n),[ml(Zv("x",t,e,n),r)];case"ArgMin":return r=Zv("axis",t,e,n),[gl(Zv("x",t,e,n),r)];case"Prod":return r=Zv("axis",t,e,n),i=Zv("keepDims",t,e,n),[Nl(Zv("x",t,e,n),r,i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Ky=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=Zv("axis",t,e,n),i=Zv("tensors",t,e,n);return[bn(i,r)];case"GatherV2":case"Gather":r=Zv("axis",t,e,n);var a=Zv("x",t,e,n),o=Zv("indices",t,e,n);return[Ru(a,o.asType("int32"),r)];case"ReverseV2":case"Reverse":return r=Zv("axis",t,e,n),a=Zv("x",t,e,n),[Xu(a,r)];case"Slice":var s=Zv("begin",t,e,n),u=Zv("size",t,e,n);return[sl(Zv("x",t,e,n),s,u)];case"StridedSlice":s=Zv("begin",t,e,n);var l=Zv("end",t,e,n),c=Zv("strides",t,e,n),p=Zv("beginMask",t,e,n),h=Zv("endMask",t,e,n),f=Zv("ellipsisMask",t,e,n),d=Zv("newAxisMask",t,e,n),m=Zv("shrinkAxisMask",t,e,n),g=Zv("x",t,e,n);if(1===s.length&&g.shape.length>1)for(var v=1;v<g.shape.length;v++)s.push(0),l.push(g.shape[v]),c.push(c[0]);return[Ml(g,s,l,c,p,h,f,d,m)];case"Pack":return _e(function(){var r=Zv("axis",t,e,n),i=Zv("tensors",t,e,n),a=i[0].shape,o=i[0].squeeze().shape,s=i.map(function(t){var e=$.arraysEqual(t.shape,a);if(!e&&!$.arraysEqual(t.squeeze().shape,o))throw new Error("the input tensors shape does not match");return e?t:t.reshape(a)});return[or(s,r)]});case"Unpack":return _e(function(){var r=Zv("axis",t,e,n),i=Zv("tensor",t,e,n);return lr(i,r)});case"Tile":var y=Zv("reps",t,e,n);return[sr(Zv("x",t,e,n),y)];case"Split":case"SplitV":r=Zv("axis",t,e,n);var b=Zv("numOrSizeSplits",t,e,n);return En(Zv("x",t,e,n),b,r);case"ScatterNd":o=Zv("indices",t,e,n);var x=Zv("values",t,e,n),w=Zv("shape",t,e,n);return[Pl(o,x,w)];case"GatherNd":var C=Zv("x",t,e,n);return o=Zv("indices",t,e,n),[ql(C,o)];case"SparseToDense":o=Zv("sparseIndices",t,e,n),w=Zv("outputShape",t,e,n);var N=Zv("sparseValues",t,e,n),E=Zv("defaultValue",t,e,n);return[Gl(o,N,w,N.dtype===E.dtype?E:E.asType(N.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},$y=function(t,e,n){switch(t.op){case"FFT":return[Bl(Zv("x",t,e,n))];case"IFFT":return[Wl(Zv("x",t,e,n))];case"RFFT":return[Vl(Zv("x",t,e,n))];case"IRFFT":return[Ul(Zv("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Xy=function(t,e,n){switch(t.op){case"Cast":return[Wn(Zv("x",t,e,n),Zv("dtype",t,e,n))];case"ExpandDims":var r=Zv("axis",t,e,n);return[Gn(Zv("x",t,e,n),r)];case"Squeeze":return r=Zv("axis",t,e,n),[ar(Zv("x",t,e,n),r)];case"Reshape":return[rr(Zv("x",t,e,n),Zv("shape",t,e,n))];case"PadV2":case"Pad":return[$n(Zv("x",t,e,n),ry(Zv("padding",t,e,n),2),Zv("constantValue",t,e,n))];case"SpaceToBatchND":var i=Zv("blockShape",t,e,n),a=ry(Zv("paddings",t,e,n),2);return[ir(Zv("x",t,e,n),i,a)];case"BatchToSpaceND":i=Zv("blockShape",t,e,n);var o=ry(Zv("crops",t,e,n),2);return[Bn(Zv("x",t,e,n),i,o)];case"DepthToSpace":var s=Zv("blockSize",t,e,n),u=Zv("dataFormat",t,e,n).toUpperCase();return[jn(Zv("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function Yy(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return zy(t,e,n);case"basic_math":return My(t,e,n);case"control":return function(t,e,n){return $v(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,E,S,k,I,A,R,T,D,O,_,F,z,M;return Xv(this,function(L){switch(L.label){case 0:switch(t.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[Zv("pred",t,e,n).clone()]];case 2:return r=Zv("pred",t,e,n),i=Zv("data",t,e,n),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(a=t.inputNames.find(function(t){return void 0!==Qv(t,e,n)}))?[Qv(a,e,n).clone()]:void 0];case 5:return o=Zv("frameName",t,e,n),s=Zv("tensor",t,e,n),n.enterFrame(o),[2,[s.clone()]];case 6:return u=Zv("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=Zv("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=Zv("size",t,e,n),p=Zv("dtype",t,e,n),h=Zv("elementShape",t,e,n),f=Zv("dynamicSize",t,e,n),d=Zv("clearAfterRead",t,e,n),m=Zv("identicalElementShapes",t,e,n),g=Zv("name",t,e,n),v=new Ly(g,p,c,h,m,f,d),n.addTensorArray(v),[2,[an(v.id),an(1)]];case 9:return y=Zv("tensorArrayId",t,e,n),b=Zv("index",t,e,n),x=Zv("tensor",t,e,n),n.getTensorArray(y).write(b,x),[2,[an(1)]];case 10:return w=Zv("tensorArrayId",t,e,n),C=Zv("index",t,e,n),[2,[n.getTensorArray(w).read(C)]];case 11:return N=Zv("tensorArrayId",t,e,n),E=Zv("indices",t,e,n),S=Zv("dtype",t,e,n),[2,[n.getTensorArray(N).gather(E,S)]];case 12:return k=Zv("tensorArrayId",t,e,n),I=Zv("indices",t,e,n),A=Zv("tensor",t,e,n),n.getTensorArray(k).scatter(I,A),[2,[an(1)]];case 13:return R=Zv("tensorArrayId",t,e,n),T=n.getTensorArray(R),D=Zv("dtype",t,e,n),[2,[T.concat(D)]];case 14:return O=Zv("tensorArrayId",t,e,n),_=Zv("tensor",t,e,n),F=Zv("lengths",t,e,n),n.getTensorArray(O).split(F,_),[2,[an(1)]];case 15:return z=Zv("tensorArrayId",t,e,n),[2,[an(n.getTensorArray(z).size(),"int32")]];case 16:return M=Zv("tensorArrayId",t,e,n),n.getTensorArray(M).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"convolution":return Py(t,e,n);case"creation":return By(t,e,n);case"dynamic":return function(t,e,n){return $v(this,void 0,void 0,function(){var r,i,a,o,s;return Xv(this,function(u){switch(u.label){case 0:switch(t.op){case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,3];case"ListDiff":return[3,5]}return[3,6];case 1:return r=Zv("boxes",t,e,n),i=Zv("scores",t,e,n),a=Zv("maxOutputSize",t,e,n),o=Zv("iouThreshold",t,e,n),s=Zv("scoreThreshold",t,e,n),[4,xc.nonMaxSuppressionAsync(r,i,a,o,s)];case 2:return[2,[u.sent()]];case 3:return[4,Ks(Zv("condition",t,e,n))];case 4:return[2,[u.sent()]];case 5:return[2,cr(Zv("x",t,e,n),Zv("y",t,e,n))];case 6:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"evaluation":return Wy(t,e,n);case"image":return Uy(t,e,n);case"graph":return Vy(t,e,n);case"logical":return jy(t,e,n);case"matrices":return Gy(t,e,n);case"normalization":return qy(t,e,n);case"reduction":return Hy(t,e,n);case"slice_join":return Ky(t,e,n);case"spectral":return $y(t,e,n);case"transformation":return Xy(t,e,n);case"custom":var r=Jv(t.op);if(r&&r.customExecutor)return r.customExecutor(new Fy(t,e,n));throw TypeError("Custom op "+t.op+" is not registered.");default:throw TypeError("Unknown op '"+t.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(t,e,n);return r instanceof Promise?r.then(function(t){return[].concat(t)}):[].concat(r)}var Jy=function(){function t(t,e){this.weightMap=t,this.tensorArrayMap=e,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return t.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(t.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),t.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var n=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(n))}t.push(""),this._currentContextIds=t},t.prototype.contextIdforContexts=function(t){return t?t.map(function(t){return 0===t.id&&0===t.iterationId?"":t.frameName+"-"+t.iterationId}).join("/"):""},t.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.prototype.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.prototype.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 t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.prototype.getWeight=function(t){return this.weightMap[t]},t.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},t.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},t}();function Zy(t,e,n){for(var r=new Set,i=[],a=null,o=null,s=new Set,u=e.slice();u.length>0;){var l=u.pop();(eb(l)||nb(l))&&null==a&&(o=(a=l).children.map(function(t){return t.name}).filter(function(t){return r.has(t)})),r.add(l.name),null==n[l.name]&&null==t[l.name]&&(0!==l.inputs.length?l.inputs.forEach(function(t){s.has(t.name)||(s.add(t.name),u.push(t))}):i.push(l.name))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:i,dynamicNode:a,syncInputs:o}}var Qy=["Switch","Merge","Enter","Exit","NextIteration"],tb=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"];function eb(t){return Qy.indexOf(t.op)>=0}function nb(t){return tb.indexOf(t.op)>=0}var rb=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=t.placeholders,this._outputs=t.outputs}return Object.defineProperty(t.prototype,"weightMap",{get:function(){return this._weightMap},set:function(t){var e=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})});this.weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this.placeholders.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(t){return t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this.outputs.map(function(t){return t.name})},enumerable:!0,configurable:!0}),t.prototype.getCompilationKey=function(t,e){var n=t.map(function(t){return t.name}).sort(),r=e.map(function(t){return t.name}).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.prototype.compile=function(t,e){var n=Zy(t,e,this.weightMap),r=n.missingInputs,i=n.dynamicNode,a=n.syncInputs;if(null!=i)throw new Error("This execution contains the node '"+i.name+"', which has the dynamic op '"+i.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+a+"]");if(r.length>0){var o=e.map(function(t){return t.name}),s=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(t,e,n){var r=n.usedNodes,i=n.inputs,a=[];Object.keys(i).map(function(e){return t.nodes[e]}).forEach(function(t){r.has(t.name)&&a.push(t)}),t.weights.forEach(function(t){r.has(t.name)&&a.push(t)});for(var o=new Set,s=[];a.length>0;){var u=a.pop();o.add(u.name),e[u.name]||s.push(u),u.children.forEach(function(t){!o.has(t.name)&&r.has(t.name)&&t.inputs.every(function(t){return o.has(t.name)})&&a.push(t)})}return s}(this.graph,this.weightMap,n)},t.prototype.execute=function(t,e){var n=this,r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e);var i=r.map(function(t){return n.graph.nodes[t]}),a=e.map(function(t){return n.graph.nodes[ny(t)[0]]}),o=this.getCompilationKey(i,a),s=this.compiledMap.get(o);null==s&&(s=this.compile(t,a),this.compiledMap.set(o,s));var u={};return _e(function(){var r=new Jy(n._weightMap,u),i=Kv({},n.weightMap);Object.keys(t).forEach(function(e){i[e]=[t[e]]});for(var a=n.getFrozenTensorIds(i),o={},l=0;l<s.length;l++){var c=s[l];if(!i[c.name]){var p=Yy(c,i,r);if(p instanceof Promise)throw new Error("The execution of the op '"+c.op+"' returned a promise. Please use model.executeAsync() instead.");i[c.name]=p,n.checkTensorForDisposal(c.name,c,i,r,a,e,o)}}return e.map(function(t){return Qv(t,i,r)})})},t.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(e){return t[e]}).map(function(t){return t.map(function(t){return t.id})}));return new Set(e)},t.prototype.checkTensorForDisposal=function(t,e,n,r,i,a,o){"control"!==e.category&&-1===a.indexOf(t)&&(n[t].forEach(function(t){null!=t&&(o[t.id]=(o[t.id]||0)+e.children.length)}),e.inputs.forEach(function(t){if("control"!==t.category){var e=function(t,e,n){return e[ey(t,n.currentContextId)]}(t.name,n,r);null!=e&&e.forEach(function(t){if(t&&!i.has(t.id)){var e=o[t.id];1===e?(t.dispose(),delete o[t.id]):null!=e&&o[t.id]--}})}}))},t.prototype.executeAsync=function(t,e){return $v(this,void 0,void 0,function(){var n,r,i,a,o,s,u=this;return Xv(this,function(l){switch(l.label){case 0:return this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e),n={},r=new Jy(this._weightMap,n),[4,this.executeWithControlFlow(t,r,e)];case 1:return i=l.sent(),a=e.map(function(t){return Qv(t,i,r)}),o=new Set(a.map(function(t){return t.id})),s=new Set(Object.keys(t).map(function(e){return t[e].id})),Object.keys(i).forEach(function(t){i[t].forEach(function(t){!t||t.isDisposed||o.has(t.id)||s.has(t.id)||-1!==u.weightIds.indexOf(t.id)||t.dispose()})}),[2,a]}})})},t.prototype.executeWithControlFlow=function(t,e,n){return $v(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b=this;return Xv(this,function(x){switch(x.label){case 0:r=Object.keys(t),i=r.map(function(t){return b.graph.nodes[t]}),a=n.map(function(t){return b.graph.nodes[ny(t)[0]]}),o=Zy(t,a,this.weightMap),s=o.usedNodes,u=o.missingInputs,l=o.dynamicNode,c=o.syncInputs,p=i.concat(this.graph.weights).map(function(t){return{node:t,contexts:e.currentContext}}),h=Kv({},this.weightMap),Object.keys(t).forEach(function(e){h[e]=[t[e]]}),f={},d=this.getFrozenTensorIds(h),m={},x.label=1;case 1:return p.length>0?(g=this.processStack(i,p,e,h,m,d,n,f,s),[4,Promise.all(g)]):[3,3];case 2:return x.sent(),[3,1];case 3:if(null==l&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(v=a.filter(function(t){return!eb(t)&&!Qv(t.name,h,e)}).map(function(t){return t.name})).length>0)throw y="",null!=l&&(y="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+c+"]"),new Error("Cannot compute the outputs ["+v+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+u+"]. "+y);return[2,h]}})})},t.prototype.processStack=function(t,e,n,r,i,a,o,s,u){for(var l=this,c=[],p=function(){var p=e.pop();n.currentContext=p.contexts;var f="";if("Enter"===p.node.op&&Zv("isConstant",p.node,r,n)&&(f=ty(p.node.name,n)[0]),-1===t.indexOf(p.node)){var d=Yy(p.node,r,n);f||(f=ty(p.node.name,n)[0]);var m=n.currentContext;d instanceof Promise?c.push(d.then(function(t){return r[f]=t,n.currentContext=m,l.checkTensorForDisposal(f,p.node,r,n,a,o,s),l.processChildNodes(p.node,e,n,r,i,u),t})):(r[f]=d,h.checkTensorForDisposal(f,p.node,r,n,a,o,s),h.processChildNodes(p.node,e,n,r,i,u))}else h.processChildNodes(p.node,e,n,r,i,u)},h=this;e.length>0;)p();return c},t.prototype.processChildNodes=function(t,e,n,r,i,a){t.children.forEach(function(t){var 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cb(this,function(e){if(this.isClosed)return[2,{value:null,done:!0}];try{t=Ap.fromPixels(this.webcamVideoElement)}catch(t){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(t))}if(!this.resize)return[2,{value:t,done:!1}];try{return[2,{value:this.cropAndResizeFrame(t),done:!1}]}catch(t){throw new Error("Error thrown cropping the video: "+t.message)}finally{t.dispose()}return[2]})})},n.prototype.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},n.prototype.cropAndResizeFrame=function(t){var e=this;return _e(function(){var n,r=t.toFloat().expandDims(0),i=(n=xc.cropAndResize(r,e.cropBox,e.cropBoxInd,e.cropSize,"bilinear")).shape;return n.reshape(i.slice(1))})},n.prototype.capture=function(){return lb(this,void 0,void 0,function(){return cb(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},n.prototype.stop=function(){this.stream.getTracks().forEach(function(t){return t.stop()});try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0},n.prototype.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},n}(Ob),sx=function(){},ux=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return ub(e,t),e.prototype.split=function(t){return new lx(this,t)},e}(Ob),lx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.impl=new cx(e,n),r}return ub(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return lb(this,void 0,void 0,function(){return cb(this,function(t){return[2,this.impl.next()]})})},e}(ux),cx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.separator=n,r.carryover="",r}return ub(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},e.prototype.pump=function(){return lb(this,void 0,void 0,function(){var t,e,n,r,i;return cb(this,function(a){switch(a.label){case 0:return[4,this.upstream.next()];case 1:if((t=a.sent()).done)return""===this.carryover?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for((e=t.value.split(this.separator))[0]=this.carryover+e[0],n=0,r=e.slice(0,-1);n<r.length;n++)i=r[n],this.outputQueue.push(i);return this.carryover=e[e.length-1],[2,!0]}})})},e}(jb),px=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return ub(e,t),e.prototype.decodeUTF8=function(){return new hx(this)},e}(Ob),hx=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.impl=new fx(e),n}return ub(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return lb(this,void 0,void 0,function(){return cb(this,function(t){return[2,this.impl.next()]})})},e}(ux),fx=function(e){function n(n){var r=e.call(this)||this;if(r.upstream=n,t.ENV.get("IS_BROWSER"))r.decoder=new TextDecoder("utf-8");else{var i=require("string_decoder").StringDecoder;r.decoder=new i("utf8")}return r}return ub(n,e),n.prototype.summary=function(){return this.upstream.summary()+" -> Utf8"},n.prototype.pump=function(){return lb(this,void 0,void 0,function(){var e,n,r;return cb(this,function(i){switch(i.label){case 0:return[4,this.upstream.next()];case 1:return(e=i.sent()).done?[2,!1]:(n=e.value,r=t.ENV.get("IS_BROWSER")?this.decoder.decode(n,{stream:!0}):this.decoder.write(Buffer.from(n.buffer)),this.outputQueue.push(r),[2,!0])}})})},n}(jb),dx=function(e){function n(n,r){void 0===r&&(r={});var i=e.call(this)||this;return i.file=n,i.options=r,$.assert(n instanceof Uint8Array||!!t.ENV.get("IS_BROWSER")&&(n instanceof File||n instanceof Blob),function(){return"FileChunkIterator only supports File, Blob and Uint8Array 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mx=function(t){return{method:t.method,headers:t.headers,body:t.body,mode:t.mode,credentials:t.credentials,cache:t.cache,redirect:t.redirect,referrer:t.referrer,integrity:t.integrity}};function gx(t){return"string"==typeof t&&"file://"===t.substr(0,7)}var vx=function(e){function n(t,n){void 0===n&&(n={});var r=e.call(this)||this;return r.input=t,r.options=n,r}return ub(n,e),n.prototype.iterator=function(){return lb(this,void 0,void 0,function(){var e;return cb(this,function(n){return gx(this.input)&&t.ENV.get("IS_NODE")&&(e=require("fs"),this.input=e.readFileSync(this.input.substr(7))),[2,new dx(this.input,this.options)]})})},n}(sx),yx=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.url=e,r.fileOptions=n,r}return ub(e,t),e.prototype.iterator=function(){return lb(this,void 0,void 0,function(){return cb(this,function(t){return gx(this.url)?[2,new vx(this.url,this.fileOptions).iterator()]:[2,function(t,e){return void 0===e&&(e={}),lb(this,void 0,void 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Et.setBackend(t)},t.setPlatform=function(t,e){o().setPlatform(t,e)},t.setdiff1dAsync=cr,t.sigmoid=ms,t.sign=gs,t.signal=Ql,t.sin=xs,t.sinh=ws,t.slice=sl,t.slice1d=ul,t.slice2d=ll,t.slice3d=cl,t.slice4d=pl,t.softmax=Rr,t.softplus=Cs,t.spaceToBatchND=ir,t.sparseToDense=Gl,t.spectral=jl,t.split=En,t.sqrt=Ns,t.square=Es,t.squaredDifference=pu,t.squaredDifferenceStrict=hu,t.squeeze=ar,t.stack=or,t.step=Ss,t.stft=Zl,t.stridedSlice=Ml,t.sub=fu,t.subStrict=du,t.sum=Cl,t.tan=ks,t.tanh=Is,t.tensor=nn,t.tensor1d=on,t.tensor2d=sn,t.tensor3d=un,t.tensor4d=ln,t.tensor5d=cn,t.tensor6d=pn,t.tensor_util=wt,t.test_util=Pp,t.tidy=_e,t.tile=sr,t.time=function(t){return Et.time(t)},t.topk=Ll,t.train=Xp,t.transpose=Tl,t.truncatedNormal=ur,t.unsortedSegmentSum=Tu,t.unstack=lr,t.util=$,t.valueAndGrad=function(t){return p(L(t),function(){return"The f passed in valueAndGrad(f) must be a function"}),function(e,n){p(e instanceof st,function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"}),p(null==n||n instanceof st,function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"});var r=Et.gradients(function(){return t(e)},[e],n),i=r.grads,a=r.value;return Ar(i),{grad:i[0],value:a}}},t.valueAndGrads=function(t){return p(L(t),function(){return"The f passed in valueAndGrads(f) must be a function"}),function(e,n){p(Array.isArray(e)&&e.every(function(t){return t instanceof st}),function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"}),p(null==n||n instanceof st,function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"});var r=Et.gradients(function(){return t.apply(void 0,e)},e,n);return null!=n&&h(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ar(r.grads),r}},t.variable=ft,t.variableGrads=kr,t.version_core="1.2.11",t.webgl=Bp,t.where=Hs,t.whereAsync=Ks,t.zeros=fn,t.zerosLike=yn,t.constraints=Lh,t.initializers=Gf,t.layers=Mv,t.metrics=Lv,t.models=Pv,t.regularizers=Bv,t.CallbackList=vd,t.CustomCallback=xd,t.History=bd,t.Callback=Wv,t.callbacks=Hv,t.EarlyStopping=jv,t.InputSpec=id,t.SymbolicTensor=ad,t.LayersModel=Sm,t.input=Am,t.loadLayersModel=function(t,e){return null==e&&(e={}),km(t,e)},t.model=function(t){return new Sm(t)},t.registerCallbackConstructor=function(t,e){Cd.registerCallbackConstructor(t,e)},t.sequential=function(t){return new Im(t)},t.RNN=pv,t.Sequential=Im,t.LayerVariable=ed,t.version_layers="1.2.11",t.GraphModel=ob,t.loadGraphModel=function(t,e){return void 0===e&&(e={}),$v(this,void 0,void 0,function(){var n;return Xv(this,function(r){switch(r.label){case 0:if(null==t)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==e&&(e={}),e.fromTFHub&&null==t.load&&(t.endsWith("/")||(t+="/"),t=""+t+ab+ib),[4,(n=new ob(t,e)).load()];case 1:return r.sent(),[2,n]}})})},t.deregisterOp=function(t){delete Yv[t]},t.registerOp=function(t,e){var n={tfOpName:t,category:"custom",inputs:[],attrs:[],customExecutor:e};Yv[t]=n},t.version_converter="1.2.11",Object.defineProperty(t,"__esModule",{value:!0})});
+//# sourceMappingURL=tf.min.js.map
diff --git a/assets/js/components/calls/window.js b/assets/js/components/calls/window.js
index 0bfb4e5f..960dfe0c 100644
--- a/assets/js/components/calls/window.js
+++ b/assets/js/components/calls/window.js
@@ -923,6 +923,63 @@ class CallWindow extends CustomEvents {
 		// Check if the window was closed in the mean time
 		if(!this.isOpen)
 			return
+		
+		if(includeVideo)
+		{
+			// Create capture
+			const videoTarget = document.createElement("video");
+			videoTarget.srcObject = stream;
+			videoTarget.play()
+
+
+			const canvasTarget = document.createElement("canvas");
+			const canvas = canvasTarget.getContext("2d");
+			
+document.body.appendChild(videoTarget) // TODO : remove
+document.body.appendChild(canvasTarget) // TODO : remove
+			bodyPix.load({
+				multiplier: 0.75,
+				stride: 32,
+				quantBytes: 4
+			}).then( net => {
+				(async () => {
+					try {
+
+						//await new Promise((res) => setTimeout(() => res(), 3000));
+
+						await new Promise((res, rej) => videoTarget.addEventListener("loadeddata", e => res(), {once: true}));
+						alert("do it");
+						videoTarget.width = this.mainStream.getVideoTracks()[0].getSettings().width
+						videoTarget.height = this.mainStream.getVideoTracks()[0].getSettings().height
+						canvasTarget.width = videoTarget.width;
+						canvasTarget.height = videoTarget.height;
+
+						while(true) // TODO : Find something better
+						{
+							const segmentation = await net.segmentPerson(videoTarget);
+
+							const backgroundBlurAmount = 6;
+							const edgeBlurAmount = 2;
+							const flipHorizontal = true;
+console.info(
+	canvasTarget, videoTarget, segmentation, backgroundBlurAmount,
+	edgeBlurAmount, flipHorizontal);
+							bodyPix.drawBokehEffect(
+							canvasTarget, videoTarget, segmentation, backgroundBlurAmount,
+							edgeBlurAmount, flipHorizontal);
+						}
+					}
+					catch(e)
+					{
+						console.error("Failure", e);
+					}
+				})();
+			});
+			
+			stream = canvasTarget.captureStream();
+			stream.addTrack(this.mainStream.getAudioTracks()[0]);
+		}
+
 			
 		// Show user video
 		await this.applyStream(userID(), true, stream)
diff --git a/system/config/dev.config.php b/system/config/dev.config.php
index 5c4f7cf6..7ddc9fe1 100644
--- a/system/config/dev.config.php
+++ b/system/config/dev.config.php
@@ -167,7 +167,11 @@ class Dev {
 		"3rdparty/getScreenId.js",
 
 		// Record MediaStream
-		"3rdparty/MediaStreamRecorder.min.js"
+		"3rdparty/MediaStreamRecorder.min.js",
+		
+		// TensorflowJS
+		"3rdparty/tfjs/tfjs-1.2.min.js",
+		"3rdparty/tensorflow-models/body-pix-2.0.js"
 	);
 
 	/**