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  /**
   * @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.
   * =============================================================================
   */
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Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(St||(St={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(Ct||(Ct={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(At||(At={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(Nt||(Nt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(Tt||(Tt={}));var Dt={float32:Nt,int32:Ct,bool:At,complex64:Tt};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 Rt(t){return Mt(t,"int32")}function Ft(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 jt(t,e){C(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must 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t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Bt}return t.prototype.ready=function(){return u(this,void 0,void 0,function(){var t,e,n;return c(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() or await tf.setBackend() 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() or await tf.setBackend() 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 u(this,void 0,void 0,function(){var e,n,r;return c(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.setupRegisteredKernels(),this.profiler=new ht(this.backendInstance),[2,!0]}})})},t.prototype.setupRegisteredKernels=function(){var t=this;v(this.backendName).forEach(function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)})},t.prototype.disposeRegisteredKernels=function(t){var e=this;v(t).forEach(function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])})},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.disposeRegisteredKernels(t),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){var n=this.state.tensorInfo.get(e),r=n.backend,i=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,i,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},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=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],function(t){return{x:function(){return t.toFloat()}}},[],{}),e},t.prototype.runKernel=function(t,e,n,r,i){return this.runKernelFunc(null,e,null,t,n,r,i)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),i=0;n.forEach(function(t){i+="complex64"===t.dtype?3:1});var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-i-a;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,i,a,o){var s,u=this,c=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=this.state.numBytes,h=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var p,g=m(r,this.backendName);if(null!=g)f=function(){var t=u.backend.numDataIds();p=g.kernelFunc({inputs:e,attrs:i,backend:u.backend});var n=Array.isArray(p)?p:[p];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map(function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)});if(l){var f=u.getTensorsForGradient(r,e,s);if(null==f){null==o&&(o=[]);var d=s.filter(function(t,e){return o[e]});f=(a||[]).slice().concat(d)}c=u.saveTensorsForBackwardMode(f)}return s};else{var v=function(t){l&&(c=t.map(function(t){return u.keep(u.clone(t))}))};f=function(){var e=u.backend.numDataIds();p=u.tidy(function(){return t(u.backend,v)});var n=Array.isArray(p)?p:[p];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun(function(){return u.state.kernelDepth++},function(){return u.state.kernelDepth--},function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,function(){return f()}):f()}),l&&this.addTapeNode(r,e,s,n,c,i),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-h,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShapes:s.map(function(t){return t.shape})}),Array.isArray(p)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map(function(t){return e.keep(e.clone(t))})},t.prototype.getTensorsForGradient=function(t,e,n){var r=g(t);if(null!=r){var i=r.inputsToSave||[],a=r.outputsToSave||[],o=void 0;r.saveAllInputs?(C(Array.isArray(e),function(){return"saveAllInputs is true, expected inputs to be an array."}),o=Object.keys(e).map(function(t){return e[t]})):o=i.map(function(t){return e[t]});var s=n.filter(function(t,e){return a[e]});return o.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var i=t;"string"===n&&X(t[0])&&(i=t.map(function(t){return ut(t)}));var a=r.write(i,e,n),o=new Ot(e,n,a,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(a),u=K(i);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.prototype.makeTensorFromDataId=function(t,e,n,r){var i=new Ot(e,n=n||"float32",t,this.nextTensorId());return this.incRef(i,r),i},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var i=new It(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error("Variable with name "+i.name+" was already registered");return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i},t.prototype.incRef=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*$(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof It||this.track(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 u(this,void 0,void 0,function(){var e,n;return c(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,r,i,a){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:i},u=g(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map(function(t,e){if(null==t){var r=n[e],i=at(r.size,r.dtype);return o.makeTensor(i,r.shape,r.dtype)}return t}),r(t.length>1?t:t[0],i,a)}),this.state.activeTape.push(s)},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=Pt(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),C(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)});C(a instanceof Ot,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=(p=t[a]).inputs;for(var s in o){for(var u=o[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach(function(t){return r[t.id]=!0}),c=!0,i[p.id]=!0;break}if(c)break}}var f={};f[n.id]=!0;var d={};for(a=t.length-1;a>=0;a--)for(o=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(f[p.outputs[l].id]){for(var s in o)f[o[s].id]=!0,d[p.id]=!0;break}var h=[];for(a=0;a<t.length;a++){var p;if(i[(p=t[a]).id]&&d[p.id]){var m={};for(var s in p.inputs){var g=p.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},p);v.inputs=m,v.outputs=p.outputs,h.push(v)}}return h}(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=it(I(t=a.shape),"float32"),Wt.makeTensor(r,t,"float32")):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];null!=n?a.push(n):a.push(null)}),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var o=i.gradient(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.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=i.inputs[e];if(!D(r.shape,a.shape))throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in i.inputs)s(u)},i=e.length-1;i>=0;i--)r(i)}(s,o,function(t){return i.tidy(t)});var u=e.map(function(t){return s[t.id]});return 0===i.state.gradientDepth&&(i.state.activeTape.forEach(function(t){for(var e=0,n=t.saved;e<n.length;e++)n[e].dispose()}),i.state.activeTape=null),{value:a,grads:u}})},t.prototype.customGrad=function(t){var e=this;return C(Q(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r=[],i=0;i<arguments.length;i++)r[i]=arguments[i];C(r.every(function(t){return t instanceof Ot}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a={};return r.forEach(function(t,e){a[e]=t}),e.runKernelFunc(function(e,i){return C((n=t.apply(void 0,r.concat([i]))).value instanceof Ot,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),C(Q(n.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n.value},a,function(t,e){var i=n.gradFunc(t,e),a=Array.isArray(i)?i:[i];C(a.length===r.length,function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."}),C(a.every(function(t){return t instanceof Ot}),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."});var o={};return a.forEach(function(t,e){o[e]=function(){return t}}),o})}},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.time=function(t){return u(this,void 0,void 0,function(){var e,n;return c(this,function(r){switch(r.label){case 0:return e=ot(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=ot()-e,[2,n]}})})},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Bt,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}(),Wt=function(){var e=function(){if(null==Lt){var e=void 0;if("undefined"!=typeof window)e=window;else if(void 0!==t)e=t;else if(void 0!==r)e=r;else{if("undefined"==typeof self)throw new Error("Could not find a global object");e=self}Lt=e}return Lt}();if(null==e._tfengine){var n=new l(e);e._tfengine=new Ut(n)}return function(t){d=t}(e._tfengine.ENV),kt=function(){return e._tfengine},e._tfengine}();function Vt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var qt=f();qt.registerFlag("DEBUG",function(){return!1},function(t){t&&console.warn("Debugging mode is ON. 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     "}var c=o[0],l=o[1],f=Math.ceil(n[2]/2),d=f*Math.ceil(n[1]/2),h=Xa();return"\n    vec4 "+i+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+c+", "+l+", "+d+", "+f+", b, row, col);\n      return "+h.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],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),f="int b, int row, int col",d="b * "+l+" + (row / 2) * "+c+" + (col / 2)",h=2;h<n-1;h++)f="int b"+h+", "+f,l*=e[n-h-1],d="b"+h+" * "+l+" + "+d;var p=Xa();return"\n    vec4 "+i+"("+f+") {\n      int index = "+d+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.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],c=io(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\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        "+ao(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=io(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&&D(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=B(n),c=u.newShape,l=u.keptDims,f=c;if(f.length<n.length){var d=so(e,f);return"\n      "+t(d)+"\n      float "+i+"(int row, int col) {\n        return "+i+"("+uo(["row","col"],l)+");\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        "+ao(e)+"\n      }\n    ";var h=a[0],p=a[1],m=io(r);return 1===p?"\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) / "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===h?"\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) / "+p+".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("+h+", "+p+", 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=B(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var f=so(e,l);return"\n        "+t(f)+"\n        float "+i+"(int row, int col, int depth) {\n          return "+i+"("+uo(["row","col","depth"],c)+");\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        "+ao(e)+"\n      }\n    ";var d=e.shapeInfo.texShape,h=d[0],p=d[1],m=e.shapeInfo.flatOffset;if(p===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("+p+".0, "+h+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(p===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("+p+".0, "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var g=io(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("+h+", "+p+", 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=B(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var f=so(e,c);return"\n      "+t(f)+"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        return "+i+"("+uo(["row","col","depth","depth2"],l)+");\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        "+ao(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],m=h[1];if(m===s&&null==d)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, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===a&&null==d)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, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var g=io(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("+p+", "+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,c=B(n),l=c.newShape,f=c.keptDims;if(l.length<n.length){var d=so(e,l);return"\n      "+t(d)+"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+i+"("+uo(["row","col","depth","depth2","depth3"],f)+");\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        "+ao(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,m=p[0],g=p[1];if(g===u&&null==h)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==h)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=io(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=B(n),o=a.newShape,s=a.keptDims;if(o.length<n.length){var u=so(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+"("+uo(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var c=n[5],l=n[4]*c,f=n[3]*l,d=n[2]*f,h=n[1]*d;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("+h+", "+d+", "+f+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+c+", 1)));\n        "+ao(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];if(v===h&&null==p)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("+d+", "+f+", "+l+", "+c+")) +\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===c&&null==p)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=io(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 * "+h+" + col * "+d+" + depth * "+f+" +\n          depth2 * "+l+" + depth3 * "+c+" + 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=zr(t.shapeInfo.logicalShape,e.logicalShape),c=oo(s),l=s-o,f=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+f[t+l]+" = 0;"}).join("\n");var d;d=s<2&&o>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+f[e+l]}).join(", ");var h="return outputValue;",p=1===I(t.shapeInfo.logicalShape),m=1===I(e.logicalShape);if(1!==o||p||m){if(p&&!m)h=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var g=o-2,v=o-1;u.indexOf(g)>-1&&u.indexOf(v)>-1?h="return vec4(outputValue.x);":u.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(v)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+d+");\n      "+h+"\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&&D(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c=oo(u),l=zr(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+c+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&l.length>=1?"coords = 0;":l.map(function(t){return"coords."+d[t+f]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+d[e+f]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),c=e.texShape,l=Xa(),f="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+l.texture2D+"(textureSampler, uv).r;\n    }\n  ",d=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    "+to+"\n    "+eo+"\n    "+no+"\n  "}(l);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(D(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,c),o="\n    void setOutput(vec4 val) {\n      "+l.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 D(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=Ya(["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=Ya(["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=Ya(["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=Ya(["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,c),o="\n    void setOutput(float val) {\n      "+l.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(d+=ro),[d,f,o,s,a,u,n].join("\n")}var to="\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",eo="\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",no="\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",ro="\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 io(t){return"offset"+t}function ao(t){var e=t.name,n=I(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 oo(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 so(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function uo(t,e){return e.map(function(e){return t[e]}).join(", ")}var co=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Ur(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    "},lo="return a + b;",fo="return a - b;",ho="return a * b;",po="return (a < 0.) ? b * a : a;",mo=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Ur(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    "},go="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",vo=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Ur(e,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===I(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+oo(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=Ka("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    "},yo=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}(),bo=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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}();function xo(t,e,n){var r=t.indexOf(e);return t.map(function(t,e){return e===r?t+" - "+n:t}).join()}var wo=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,c=t.dilationWidth,l=t.filterHeight,f=t.filterWidth,d=4*Math.floor(t.inChannels/4),h=t.inChannels%4,p="channelsLast"===t.dataFormat,m=p?1:2,g=p?2:3,v=p?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 < "+l+"; 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 < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+d+"; 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 ("+p+") {\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===h)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+d+") *\n                    getW(wR, wC, "+d+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+d+", xR, xC) *\n                    getW(wR, wC, "+d+", d2);\n              }\n\n            } else if ("+(2===h)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===h)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2),\n                getW(wR, wC, "+d+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1),\n                  getX(batch, xR, xC, "+d+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC),\n                  getX(batch, "+d+" + 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    "},ko=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,c=t.strideWidth,l=t.dilationHeight,f=t.dilationWidth,d=t.filterHeight,h=t.filterWidth,p=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+", "+c+");\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 / "+p+";\n        int q = d2 - d1 * "+p+";\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 < "+d+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+f+";\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    "},_o=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.packedInputs=!0,this.packedOutput=!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,l=t.dilationHeight,f=t.dilationWidth,d=t.filterHeight,h=t.filterWidth,p=h,m="int xR; int xC; int xCOffset;",g=0;g<d;g++)for(var v=0;v<h;v++)m+="\n          vec4 xTexelR"+g+"C"+2*v+" = vec4(0.);\n          vec4 wR"+g+"C"+v+" = vec4(0.);\n          vec4 xR"+g+"C"+v+" = vec4(0.);";for(g=0;g<d;g++)for(var y=0;y<p;y++){if(m+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(v=2*y)*f+";\n        ",1===c){if(v<h&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+v+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+v+" = 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\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+v+" = vec4(previous.zw, xTexelR"+g+"C"+v+".xy);\n                } else {\n                  xR"+g+"C"+v+" = vec4(0, 0, xTexelR"+g+"C"+v+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+i+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = xTexelR"+g+"C"+v+";\n              ",v+1<h)){var b=s%2==0?O(f):f;f%2==0&&s%2==1||f%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",f>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+i+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+v+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(v+1)+" = xTexelR"+g+"C"+(v+2)+";\n                "}}else v<h&&(m+="\n              if(xR >= 0 && xR < "+i+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n              ",v+1<h&&(m+="\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"+g+"C"+(v+1)+" = vec4(xTexelR"+g+"C"+(v+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".xy, xTexelR"+g+"C"+(v+2)+".xy);\n              ",v+1<h&&(m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n                ")),m+="}");v<h&&(m+="\n            vec4 wTexelR"+g+"C"+v+" = getW("+g+", "+v+", d1, q);\n            wR"+g+"C"+v+" = vec4(wTexelR"+g+"C"+v+".xz, wTexelR"+g+"C"+v+".xz);\n          ",v+1<h&&(m+="\n              vec4 wTexelR"+g+"C"+(v+1)+" = getW("+g+", "+(v+1)+", d1, q);\n              wR"+g+"C"+(v+1)+" =\n                vec4(wTexelR"+g+"C"+(v+1)+".xz, wTexelR"+g+"C"+(v+1)+".xz);"))}for(g=0;g<d;g++)for(v=0;v<h;v++)m+="dotProd += xR"+g+"C"+v+" * wR"+g+"C"+v+";";var x="",w="";n&&(x=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",w="result = activation(result);");var k=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\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        "+m+"\n\n        vec4 result = dotProd;\n        "+k+"\n        "+w+"\n        setOutput(result);\n      }\n    "};function Eo(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 Oo=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}(),So=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    "},Co=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}();function Ao(t,e){var n=Xa();return ue(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 No(t,e){return ge(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 To(t,e){return ve(t,e,new Uint16Array([0,1,2,2,1,3]))}function Io(t,e,n,r,i,a,o){be(n,r);var s=ye(t,e),u=t.TEXTURE_2D;return ne(t,e,function(){return t.bindTexture(u,s)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)}),ne(t,e,function(){return t.texImage2D(u,0,i,n,r,0,a,o,null)}),ne(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)}),s}function Do(t,e,n,r,i){var a=Zt(n,r);return Io(t,e,a[0],a[1],i.internalFormatFloat,i.textureFormatFloat,t.FLOAT)}function Mo(t,e,n,r,i){var a=Zt(n,r);return Io(t,e,a[0],a[1],i.internalFormatHalfFloat,i.textureFormatFloat,i.textureTypeHalfFloat)}function Ro(t,e,n,r,i){var a=Zt(n,r);return Io(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function Fo(t,e,n,r,i){var a=te(n,r);return Io(t,e,a[0],a[1],i.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function jo(t,e,n,r,i){var a=te(n,r);return Io(t,e,a[0],a[1],i.internalFormatPackedHalfFloat,t.RGBA,i.textureTypeHalfFloat)}function Po(t,e,n,r){return ne(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),we(t,e,n,"clipSpacePos",r,3,20,0)&&we(t,e,n,"uv",r,2,20,12)}function Lo(t,e,n,r,i,a,o){var s,u,c;ne(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),a instanceof 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Uo(t,e,n){var r=t,i=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,i),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),i}function Wo(t,e,n,r,i){var a=Zt(n,r),o=a[0],s=a[1],u=new Uint8Array(n*r*4);return ne(t,e,function(){return t.readPixels(0,0,o,s,i.downloadTextureFormat,t.UNSIGNED_BYTE,u)}),new Float32Array(u.buffer)}function Vo(t,e,n,r,i,a,o,s){var u=t,c=new Float32Array(function(t,e){var n=te(a,o);return n[0]*n[1]*4}());return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function qo(t,e,n,r){var i=new Float32Array(n*r*4);return ne(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,i)}),i}var Ho=Object.freeze({createVertexShader:Ao,createVertexBuffer:No,createIndexBuffer:To,createFloat32MatrixTexture:Do,createFloat16MatrixTexture:Mo,createUnsignedBytesMatrixTexture:Ro,createPackedMatrixTexture:Fo,createFloat16PackedMatrixTexture:jo,bindVertexProgramAttributeStreams:Po,uploadDenseMatrixToTexture:Lo,uploadPixelDataToTexture:zo,createBufferFromOutputTexture:Bo,downloadFloat32MatrixFromBuffer:Uo,downloadByteEncodedFloatMatrixFromOutputTexture:Wo,downloadPackedMatrixFromBuffer:Vo,downloadMatrixFromPackedOutputTexture:qo}),Go=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=f().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Yt(e,t)):this.gl=Jt(e);var n="WEBGL_color_buffer_float";if(1===f().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=se(this.gl,this.debug,"OES_texture_float"),Ue(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=se(this.gl,this.debug,"OES_texture_half_float");else if(f().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Ue(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=se(this.gl,this.debug,"EXT_color_buffer_half_float");else if(f().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Ue(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Ue(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does 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This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  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this.throwIfDisposed(),Ro(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),zo(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),Lo(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),jo(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Fo(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Ce(this.gl,this.debug,this.framebuffer),this.outputTexture=null),ne(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 Wo(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,a){return Vo(this.gl,t,0,0,0,i,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Uo(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Bo(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(f().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 f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,f().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 qo(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ce(e,this.debug,t),r=Ao(e,this.debug),i=he(e,this.debug);return ne(e,this.debug,function(){return e.attachShader(i,r)}),ne(e,this.debug,function(){return e.attachShader(i,n)}),pe(e,this.debug,i),this.debug&&me(e,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=Po(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&&ne(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&&me(this.gl,this.debug,this.program),ne(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?_e(this.gl,this.debug,t,e):Ee(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),ne(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(),Oe(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=te(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&&me(this.gl,this.debug,this.program),Ae(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),ne(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),ne(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=se(this.gl,this.debug,2===f().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===f().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!==f().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 u(this,void 0,void 0,function(){var e=this;return c(this,function(n){switch(n.label){case 0:return[4,P(function(){return e.disposed||e.isQueryAvailable(t,f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,f().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&&t[e]();++e);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||P(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Se(this.gl,this.debug,t,this.framebuffer),this.debug&&Ae(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Se(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Ae(this.gl)):Ce(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;Se(r,this.debug,t,this.framebuffer),this.debug&&Ae(r),this.outputTexture=t,ne(r,this.debug,function(){return r.viewport(0,0,e,n)}),ne(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),ne(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 $o(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(!D(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(!D(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Ko=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.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",p="";a&&(h=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var m=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+h+"\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, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+d[0]+");\n          result += ("+f[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},Xo=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}(),Yo=function(t,e,n,r,i){if(void 0===r&&(r=!1),void 0===i&&(i=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.top,h=t.padInfo.left;this.outputShape=t.outShape;var p="avg"===e,m="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",v="0.0";if(p||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+d+", "+h+");\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 < "+l+";\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 < "+f+";\n                wC += "+c+") {\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 = "+(r?i?m:g:"wR * "+f+" + wC")+";\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(a/4),x=a%4,w="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+d+", "+h+");\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 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("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\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 * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},Jo=function(t,e,n,r,i){if(void 0===r&&(r=!1),void 0===i&&(i=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,o=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,h=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,g=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,b="0.0";if(y||(b="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+g+", "+v+");\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 < "+d+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+h+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+f+") {\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 = "+(r?i?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+h+" * "+p+" +\n                      wR * "+p+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var x=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(x="avgValue / count");var w=4*Math.floor(a/4),k=a%4,_="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+g+", "+v+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+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("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+d+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+f+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+f+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+f+", ch)\n              );\n\n              "+_+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+_+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+_+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+f+", ch),\n                initializationValue\n              );\n\n              "+_+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},Zo=function(t,e,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=oo(i.length),u=oo(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var d="getUpdates("+f+")",h=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("+l+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+d+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Qo=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=oo(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return ts.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."+ts[e]+" = start["+e+"] + coords."+ts[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}(),ts=["x","y","z","w","u","v"],es=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=oo(this.rank),n=Ka("coords",this.rank),r=Ka("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}(),ns=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=rs(e,n),a=is(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===$t.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===$t.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===$t.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===$t.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===$t.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=is(e,rs(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 rs(t,e){if(t===Gt.UPLOAD)return $t.PACKED_2X2_FLOAT32;if(t===Gt.RENDER||null==t)return function(t){return f().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?$t.PACKED_2X2_FLOAT32:$t.UNPACKED_FLOAT32:t?$t.PACKED_2X2_FLOAT16:$t.UNPACKED_FLOAT16}(e);if(t===Gt.DOWNLOAD||t===Gt.PIXELS)return $t.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function is(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var as=1.7580993408473768,os=1.0507009873554805,ss=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    "},us="if (isnan(x)) return x;",cs="return x;",ls="return abs(x);",fs=us+"\n  return (x < 0.0) ? 0.0 : x;\n",ds=us+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",hs="return (x >= 0.0) ? x : (exp(x) - 1.0);",ps="return -x;",ms="return ceil(x);",gs="return floor(x);",vs="return exp(x);",ys="return exp(x) - 1.0;",bs="return x;",xs="return x;",ws="\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",ks="\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",_s="\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",Es=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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    "},Os={};function Ss(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?xs:cs;if("relu"===t)return e?ws:fs;if("elu"===t)return e?_s:hs;if("relu6"===t)return e?ks:ds;if("prelu"===t)return e?go:po;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var Cs=600,As=function(t){function e(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!f().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var i=Jt(f().getNumber("WEBGL_VERSION"));r.binaryCache=(n=f().getNumber("WEBGL_VERSION"))in Os?Os[n]:(Os[n]={},Os[n]),r.gpgpu=new Go(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new ns(r.gpgpu),r.numMBBeforeWarning=null==f().global.screen?1024:f().global.screen.height*f().global.screen.width*window.devicePixelRatio*Cs/1024/1024,r.texData=new da(r,Wt),r}return s(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.write=function(t,e,n){if(f().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Gt.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(f().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Gt.UPLOAD})},e.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 Es(o,bs):new ss(o,bs);var c=this.runWebGLProgram(u,[{dataId:t,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var f,d,h=null!=this.activeTimers;return h&&(f=ot()),d="complex64"===r?Ia(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),h&&(this.downloadWaitMs+=ot()-f),this.convertAndCacheOnCPU(t,d)},e.prototype.read=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o,s,u,l,d,h,p,m,g,v,y,b,x,w,k,_,E;return c(this,function(c){switch(c.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,i=n.shape,a=n.slice,o=n.dtype,s=n.complexTensors,u=n.isPacked,null!=a)return l=void 0,l=u?new Es(i,bs):new ss(i,bs),d=this.runWebGLProgram(l,[{dataId:t,shape:i,dtype:o}],o),h=this.read(d.dataId),this.disposeData(d.dataId),[2,h];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!f().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===f().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==o&&f().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(t),g=this.texData.get(m.dataId),p=(E=this.gpgpu).createBufferFromTexture.apply(E,[g.texture].concat(Qt(i)))),this.pendingRead.set(t,[]),"complex64"===o?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:c.sent(),c.label=2;case 2:return"complex64"!==o?[3,4]:[4,Promise.all([s.real.data(),s.imag.data()])];case 3:return y=c.sent(),b=y[0],x=y[1],v=Ia(b,x),[3,5];case 4:null==p?v=this.getValuesFromTexture(t):(w=I(i),v=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),c.label=5;case 5:return null!=m&&this.disposeData(m.dataId),k=this.convertAndCacheOnCPU(t,v),_=this.pendingRead.get(t),this.pendingRead.delete(t),_.forEach(function(t){return t(k)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,k]}})})},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!ae(n)){if(f().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,a=n.isPacked,o=I(r);if(f().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(t),u=this.texData.get(s.dataId),c=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[u.texture].concat(Qt(r))).subarray(0,o);return this.disposeData(s.dataId),c}var l=f().getBool("WEBGL_PACK")&&!0===a,d=l?Re(r):r,h=l?new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Gt.DOWNLOAD;var e=Xa();this.outputShape=t,this.userCode="\n      "+Za+"\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    "}(d):new function(t){this.variableNames=["A"],this.outTexUsage=Gt.DOWNLOAD;var e=Xa();this.outputShape=t,this.userCode="\n      "+Za+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "}(d),p=this.runWebGLProgram(h,[{shape:d,dtype:i,dataId:t}],"float32"),m=this.texData.get(p.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(m.texture,m.texShape[0],m.texShape[1]).subarray(0,o);return this.disposeData(p.dataId),g},e.prototype.time=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o,s;return c(this,function(u){switch(u.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(),i=T(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),a=T(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(i)]:[3,2];case 1:return s=u.sent(),o.kernelMs=S(s),o.getExtraProfileInfo=function(){return s.map(function(t,e){return{name:a[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},[3,3];case 2:o.kernelMs={error:"WebGL query timers are not supported in this environment."},u.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:ot(),endMs:null}},e.prototype.endTimer=function(t){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=ot(),t)},e.prototype.getQueryTime=function(t){return u(this,void 0,void 0,function(){var e;return c(this,function(n){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;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)}}},e.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,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return f().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Wt.findBackend("cpu")),this.cpuBackend):null},e.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&&I(t.shape)<e})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Wt.keep(t.clone()),imag:Wt.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===I(n))return jn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,i=Qi(t.shape,e,n);if(r||!i){var a=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new es(n):new Qo(n),o=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,o)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=this.makeOutput(n,t.dtype),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var o=ta(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},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var i=Yi(e,n,r);if(i.some(function(t){return 0===t}))return jn([],i);var a=new function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,i=oo(n.length),a=oo(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    "}(e,r,i);return this.compileAndRun(a,[t])},e.prototype.reverse=function(t,e){var n=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!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=Ka("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=oo(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    "}(t.shape,e):new 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=oo(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      "}(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map(function(t){return Rn(t)}),r=t.map(function(t){return Fn(t)});return Mn(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>f().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(t.length/2),a=this.concat(t.slice(0,i),e),o=this.concat(t.slice(i),e);return this.concat([a,o],e)}if(f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var s=new function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=In(t,e);var n=this.outputShape,r=n.length,i=oo(r),a=Ka("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 c=o[e],l=o.slice(-2),f=o.join(),d="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+f+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var h=s[u-1];d+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+xo(o,c,h)+"),\n            vec2("+xo(l,c,h)+"));\n        }"}var p=s.length,m=s[s.length-1];d+="\n        return getChannel(\n          getT"+p+"("+xo(o,c,m)+"),\n          vec2("+xo(l,c,m)+"));",this.userCode="\n      float getValue("+o.map(function(t){return"int "+t})+") {\n        "+d+"\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    "}(t.map(function(t){return t.shape}),e);return this.compileAndRun(s,t)}var u=In(t.map(function(t){return t.shape}),e),c=t.map(function(t){return t.as2D(-1,I(t.shape.slice(e)))}),l=new function(t){this.outputShape=[],this.outputShape=In(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    "}(c.map(function(t){return t.shape}));return this.compileAndRun(l,c).reshape(u)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ps,t.dtype);var e=new ss(t.shape,ps);return this.compileAndRun(e,[t])},e.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=fa(t,[0,2,1])),r&&(e=fa(e,[0,2,1]));var u=1===a?t:t.as3D(s,o,1),c=1===a?2:1,l=1===a?e.as3D(s,1,o):e;return this.multiply(u,l).sum(c,!0)}var f=Mt(t.dtype,e.dtype),d=new Ko(t.shape,[s,i,a],n,r);return this.compileAndRun(d,[t,e],f)},e.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],c=i?n.shape[1]:n.shape[2],l=e.shape[0],f=Mt(e.dtype,n.dtype),d=null!=a,h=null!=s,p=o?Ss(o,!0):null,m=new Ko(e.shape,[l,u,c],r,i,d,p,h),g=[e,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(m,g,f)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new co("return areal * breal - aimag * bimag;",t.shape,e.shape),a=new co("return areal * bimag + aimag * breal;",t.shape,e.shape),o=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],s=this.compileAndRun(i,o),u=this.compileAndRun(a,o),c=this.complex(s,u);return s.dispose(),u.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,ho,t.dtype);var l=new mo(ho,t.shape,e.shape);return this.compileAndRun(l,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,i,a){var o=[t,e,n],s=null;null!=a&&(s=a.shape,o.push(a));var u=null;if(null!=i&&(u=i.shape,o.push(i)),f().getBool("WEBGL_PACK_NORMALIZATION")){var c=new function(t,e,n,r,i,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Ur(t,e),Ur(t,n);var o="vec4(0.0)";null!=r&&(Ur(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(Ur(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    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(c,o)}var l=new function(t,e,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Ur(t,e),Ur(t,n);var o="0.0";null!=r&&(Ur(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(Ur(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    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,o)},e.prototype.localResponseNormalization4D=function(t,e,n,r,i){var a=f().getBool("WEBGL_PACK_NORMALIZATION")?new function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!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    "}(t.shape,e,n,r,i):new 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    "}(t.shape,e,n,r,i);return this.compileAndRun(a,[t])},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){var s=new 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    "}(e.shape,r,i,a,o);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map(function(t){return ct(t)});return qa(ar(t.shape,t.dtype,n),e)}var r=new 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=oo(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    "}(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=oo(r),a=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=Ka("rc",r),u=Ka("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",f=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\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("+c+") {"],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="",p=0,m=1===r?2:4;p<m;p++)h+="\n        "+f[p]+"\n        if ("+d+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";h+=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        "+h+"\n        setOutput(result);\n      }\n    "}(t.shape,e,n):new 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=oo(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      "}(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=oo(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    "}(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){C(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=yr(t.shape,e,r),a=br(i.length,e.length),o=xr(t.shape,e,r),s=wr(n,e.length),u=kr(o,n,e.length);return fa(t.reshape(i),a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){C(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=yr(o.shape,e,r,!1),u=br(s.length,e.length,!1),c=xr(o.shape,e,r,!1);return fa(o.reshape(s),u).reshape(c)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],a=new 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 c=4*Math.floor(n/4),l=n%4,f="\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    ",d="vec4";"all"===e?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===e&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var h="";i%n>0&&(h="\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        "+h+"\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 < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:Vi(i),inSize:i,batchSize:r},e),o=this.compileAndRun(a,[t],n);return 1===o.shape[1]?o:this.reduce(o,e,n)},e.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=new function(t,e,n){this.variableNames=["A"];var r=t.windowSize,i=t.batchSize,a=t.inSize,o=Math.ceil(a/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:Vi(i),inSize:i,batchSize:r},e,null==n),o=[t];null!=n&&o.push(n);var s=this.compileAndRun(a,o,"int32");return 1===s.shape[1]?s:this.argReduce(t,e,s)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=new function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,C(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,c=u.length,l=oo(c),f=Ka("coords",c);if(1===a){var d=oo(s=c+1);o="\n        "+d+" sourceLocR = "+d+"("+f.join()+", 0);\n        ++"+f[c-1]+";\n        "+d+" sourceLocG = "+d+"("+f.join()+", 0);\n        ++"+f[c-2]+";\n        "+d+" sourceLocA = "+d+"("+f.join()+", 0);\n        --"+f[c-1]+";\n        "+d+" sourceLocB = "+d+"("+f.join()+", 0);\n        --"+f[c-2]+";"}else s=c,o="\n        "+l+" sourceLocR = coords;\n        ++"+f[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+f[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+f[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+f[c-2]+";";var h=["x","y","z","w","u","v"].slice(0,s),p="."+h[s-1],m=h.map(function(t){return"int "+t}),g=Ka("sourceLocR",s-1).concat("inIdx.r"),v=Ka("sourceLocG",s-1).concat("inIdx.g"),y=Ka("sourceLocB",s-1).concat("inIdx.b"),b=Ka("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",_=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+h.join()+"),\n                                          vec2("+h.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+h.join()+"),\n                               vec2("+h.slice(-2).join()+"));\n      }\n      "+_+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+f[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+f[c-2]+" < "+(u[c-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "}(r,Vi(r[r.length-1]),e,null==n),a=null==n?[t]:[t,n],o=this.compileAndRun(i,a,"int32");return o.rank===t.rank?this.argReducePacked(t,e,o):o},e.prototype.sum=function(t,e){Sn("sum",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i),o=Rt(t.dtype);return this.reduce(a,"sum",o).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i),o=Rt(t.dtype);return this.reduce(a,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=Cn([r],t.rank),a=t;null!=i&&(a=fa(t,i),r=Nn(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=I([a.shape[r]]),u=a.as2D(-1,s),c=Rt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(o);return null!=i&&(l=fa(l,An(i))),l},e.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<=Wi?(n=t,r=!0):n=tt(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=tt(t,n+1);return n}(o,i),u=new 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,c="\n        sumValue += dot(values, segFilter);\n    ",l="";i%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var f="";i%n>0&&(f="\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        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+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          "+c+"\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          "+c+"\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          "+c+"\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          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:a,numSegments:i},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===i?c:(n=Yn(0,i).tile([o/s]),this.segOpCompute(c,e,n,r,i))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Sn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!f().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var i=En(t.shape,r),a=i[0],o=I(i[1]),s=t.as2D(-1,o);return this.argReduce(s,n).reshape(a)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.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 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        "+oo(r)+" coords = getOutputCoords();\n        int end = "+Eo(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          "+Eo(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    "}(t.shape,n,r);return this.compileAndRun(i,[t])},e.prototype.equal=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new mo("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new mo("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new mo("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new mo("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new mo("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new mo("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new ss(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(f().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 mo("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(f().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 mo("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new 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 c=oo(n);this.userCode="\n      void main() {\n        "+c+" 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    "}(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Mt(e.dtype,n.dtype))},e.prototype.where=function(t){vn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Ga(t.shape,e)},e.prototype.topk=function(t,e,n){return Ha(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Sn("min",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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 mo("\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])},e.prototype.mod=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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 mo("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Sn("max",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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 mo("\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])},e.prototype.all=function(t,e){Sn("all",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){Sn("any",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.floorDiv=function(t,e){if(f().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 mo("\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);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,lo);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Mt(t.dtype,e.dtype);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,lo,n);var r=new mo(lo,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new Es(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,i){void 0===i&&(i=!1);var a=new vo(n,t.shape,e.shape,i);return this.compileAndRun(a,[t,e],r)},e.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.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,o),c=new mo(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],Mt(a.dtype,o.dtype))}),s=o[0],u=o[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>f().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}),o=f().getBool("WEBGL_PACK")?new function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,a):new function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,a);return this.compileAndRun(o,t,i)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,fo);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Mt(t.dtype,e.dtype);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,fo,t.dtype);var r=new mo(fo,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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 mo("\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),r=Mt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ms,t.dtype);var e=new ss(t.shape,ms);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,gs,t.dtype);var e=new ss(t.shape,gs);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new ss(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new ss(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new ss(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new ss(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new ss(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])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,vs,t.dtype);var e=new ss(t.shape,vs);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ys,t.dtype);var e=new ss(t.shape,ys);return this.compileAndRun(e,[t])},e.prototype.softmax=function(t,e){var n=z([e],t.shape),r=this.max(t,n),i=On(r.shape,n),a=this.subtract(t,r.reshape(i)),o=this.exp(a),s=this.sum(o,n).reshape(i);return zi(o,s)},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(f().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 ss(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new ss(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new ss(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new ss(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new ss(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=f().getBool("WEBGL_PACK")?new Es(t.shape,ws):new ss(t.shape,fs),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=f().getBool("WEBGL_PACK")?new Es(t.shape,ks):new ss(t.shape,ds),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo(go,t.shape,e.shape):new mo(po,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,_s,t.dtype);var e=new ss(t.shape,hs);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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 mo("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new ss(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])},e.prototype.int=function(t){var e=new ss(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,i=(r=f().getBool("WEBGL_PACK_CLIP")?new bo(t.shape):new yo(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ls,t.dtype);var e=new ss(t.shape,ls);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new 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    "}(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new ss(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new ss(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])},e.prototype.sin=function(t){var e=new ss(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new ss(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new ss(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new ss(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])},e.prototype.acos=function(t){var e=new ss(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])},e.prototype.atan=function(t){var e=new ss(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("\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. ? 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 mo("\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])},e.prototype.sinh=function(t){var e=new ss(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new ss(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new ss(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])},e.prototype.asinh=function(t){var e=new ss(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new ss(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])},e.prototype.atanh=function(t){var e=new ss(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])},e.prototype.erf=function(t){var e=new ss(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])},e.prototype.step=function(t,e){var n=new ss(t.shape,function(t){return void 0===t&&(t=0),us+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,i,a){var o=t.shape,s=this.texData.get(t.dataId),u=n.inChannels,c=o[0]*o[1]*o[2],l=n.outChannels,d="channelsLast"===n.dataFormat,h=(1===c||1===l)&&u>1e3,p=o[2]%2!=0&&!!s.isPacked;if(h||!f().getBool("WEBGL_LAZILY_UNPACK")||!f().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var m=d?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],g=this.reshape(t,[1,m,n.inChannels]),v=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:v,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),n.outShape)}var y=d?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),b={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},x=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,C(Pe(s.shape,b.shape),function(){return"packed reshape "+s.shape+" to "+b.shape+" isn't free"});var w=this.reshape(e,[1,n.inChannels,n.outChannels]),k=this.fusedBatchMatMul({a:b,b:w,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),_=this.texData.get(k.dataId);return C(_.isPacked,function(){return"batchMatMul result is expected to be packed"}),s.shape=x,_.shape=n.outShape,Wt.makeTensorFromDataId(k.dataId,n.outShape,k.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,i,a){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,f="channelsLast"===n.dataFormat,d=o*s*u,h=l*c,p=[d,h],m=t.squeeze([0]),g=e.reshape([1,d,-1]),v=new function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,f=n.dataFormat,d=s.left,h=s.top,p=i*r,m=Xa(),g="channelsLast"===f,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+" - "+h+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+d+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+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    "}(p,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,p[0],p[1]]),b=null!=r,x=null!=a,w=i?Ss(i,!0):null,k=new Ko(y.shape,[1,h,n.outChannels],!0,!1,b,w,x),_=[y,g];r&&_.push(r),x&&_.push(a);var E=this.compileAndRun(k,_);return f?E.reshape([1,l,c,n.outChannels]):E.reshape([1,n.outChannels,l,c])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,i=t.bias,a=t.activation,o=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,o);if(f().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,i,a,o);var s=null!=i,u=null!=o,c=a?Ss(a,!1):null,l=new wo(r,s,c,u),d=[e,n];return i&&d.push(i),o&&d.push(o),this.compileAndRun(l,d)},e.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(f().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new wo(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new 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,c=a?2:3,l=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["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,i=t.convInfo,a=t.bias,o=t.activation,s=t.preluActivationWeights,u=f().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels==1,c=o?Ss(o,u):null,l=[n,r],d=null!=a,h=null!=s;return d&&l.push(a),h&&l.push(s),u?(e=new _o(i,d,c,h),this.compileAndRun(e,l)):(e=new ko(i,d,c,h),this.compileAndRun(e,l))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return f().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new _o(n),this.compileAndRun(r,[t,e])):(r=new ko(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new 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,c=t.dilationWidth,l=t.filterDepth,f=t.filterHeight,d=t.filterWidth,h=4*Math.floor(t.inChannels/4),p=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 < "+l+"; 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 < "+f+"; 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 < "+d+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+h+"; 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===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+h+") *\n                  getW(wF, wR, wC, "+h+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1),\n                  getX(batch, xF, xR, xC, "+h+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2),\n                  getW(wF, wR, wC, "+h+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new 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,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new Yo(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new Yo(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var i=new Yo(r,"max",!0),a=this.compileAndRun(i,[e]),o=new 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    "}(r),s=this.compileAndRun(o,[t,a],e.dtype);return a.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new 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,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,f=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+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    "}(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return Ca(t,e,this)},e.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},e.prototype.avgPool3d=function(t,e){var n=new Jo(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new 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,c=t.dilationWidth,l=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,h=l-1-t.padInfo.front,p=f-1-t.padInfo.top,m=d-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+h+", "+p+", "+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 < "+l+";\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 < "+f+";\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 < "+d+";\n                wC += "+c+") {\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    "}(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new Jo(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var i=new Jo(r,"max",!0),a=this.compileAndRun(i,[e]),o=new 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,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,f=u-1-t.padInfo.top,d=c-1-t.padInfo.left,h=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+f+", "+d+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+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 < "+c+";\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 = "+h+" -\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+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.compileAndRun(o,[t,a],e.dtype);return a.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!Pe(t.shape,e)&&(null===n.texture||!Pe(n.shape,e))){var r=this.packedReshape(t,e);return Wt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Aa(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var i=f().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[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    "}(t.shape,e,n,r):new 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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[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    "}(t.shape,e,n,r);return this.compileAndRun(i,[t],"float32")},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new 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],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\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    "}(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new 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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[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 + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(t.shape,e,n,r);return this.compileAndRun(i,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new 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],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\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("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[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    "}(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var i=e?t:ca(t),a=i.shape[0],o=i.shape[1],s=new Xo(a,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var i=new 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    "}(t.size,e,n,r);return this.compileAndRun(i,[t])},e.prototype.diag=function(t){var e=new 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    "}(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return vn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Pa(t.dataSync(),e.dataSync(),n,r,i)},e.prototype.cropAndResize=function(t,e,n,r,i,a){var o=new 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],c=e[0],l=n[0],f=n[1];this.outputShape=[c,l,f,u];var d="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],p=h[0],m=h[1],g=l>1?[""+(o-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],v=g[0],y=g[1],b=g[2],x=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],k=x[1],_=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 = "+k+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+_+";\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("+d+" == 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    "}(t.shape,e.shape,r,i,a);return this.compileAndRun(o,[t,e,n],"float32")},e.prototype.depthToSpace=function(t,e,n){C(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],o="NHWC"===n?t.shape[3]:t.shape[1],s=i*e,u=a*e,c=o/(e*e),l=new Oo("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},e.prototype.split=function(t,e,n){return Va(t,e,n)},e.prototype.scatterND=function(t,e,n){var r=Gi(0,t,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/o,o],l=t.reshape([a,i]),f=e.reshape([a,o]);if(0===u)return Aa(jn([]),n);var d=Ln(0),h=new Zo(a,i,l.rank,f.rank,s,c);return this.compileAndRun(h,[f,l,d]).reshape(n)},e.prototype.sparseToDense=function(t,e,n,r){var i=Gi(0,t,n),a=i.sliceRank,o=i.numUpdates,s=i.strides,u=i.outputSize,c=new Zo(o,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},e.prototype.fft=function(t){return this.fftImpl(t,!1)},e.prototype.ifft=function(t){return this.fftImpl(t,!0)},e.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new So("return real * expR - imag * expI;",t.shape,e),i=new So("return real * expI + imag * expR;",t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],o=this.compileAndRun(r,a),s=this.compileAndRun(i,a),u=this.complex(o,s).as2D(t.shape[0],t.shape[1]);return o.dispose(),s.dispose(),u},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Bi(t,e),a=i[0],o=i[1],s=i[2],u=i[3],c=e.reshape([o,r]),l=t.reshape([t.size/s,s]),f=new function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=oo(e.length),i=oo(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      "}(r,u,[o,s]);return this.compileAndRun(f,[l,c]).reshape(a)},e.prototype.fill=function(t,e,n){if("string"===(n=n||Z(e))){var r=W(n,I(t));return r.fill(e),Wt.makeTensor(r,t,n,this)}var i=new Co(t,e),a=i.getCustomSetupFunc(e);return this.compileAndRun(i,[],n,a)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},e.prototype.linspace=function(t,e,n){return Na(t,e,n)},e.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},e.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Wt.makeTensorFromDataId(n,t,e,this)},e.prototype.unpackTensor=function(t){var e=new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=Ka("rc",e),r=oo(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    "}(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},e.prototype.packTensor=function(t){var e=new function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,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=Ka("rc",e),r=oo(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      "}}(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},e.prototype.packedReshape=function(t,e){var n=[De(t.shape)].concat(Me(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},i=new function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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      "+Ya(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Ja(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    "}([De(e)].concat(Me(e)),n),a=this.runWebGLProgram(i,[r],t.dtype,null,!0);return{dataId:a.dataId,shape:e,dtype:a.dtype}},e.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,i=n.shape,a=n.dtype,o=Re(i);return e=r?new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Ht.DENSE;var e=Qt(t),n=Xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Ya(["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    "}(o):new function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Ht.DENSE;var e=Qt(t),n=Xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Ya(["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    "}(o),{dtype:a,shape:i,dataId:this.runWebGLProgram(e,[{shape:o,dtype:a,dataId:t}],a,null,!0).dataId}},e.prototype.runWebGLProgram=function(t,e,n,r,i){var a=this;void 0===i&&(i=!1);var o=this.makeTensorInfo(t.outputShape,n),s=this.texData.get(o.dataId);if(t.packedOutput&&(s.isPacked=!0),t.outPackingScheme===Ht.DENSE){var u=Qt(t.outputShape);s.texShape=u.map(function(t){return 2*t})}if(null!=t.outTexUsage&&(s.usage=t.outTexUsage),0===I(o.shape))return s.values=U(o.dtype,0),o;var c=[],l=e.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. 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t.constructor.name+"_"+r+"_"+i}(t,0,h),m=this.getAndSaveBinary(p,function(){return function(t,e,n,r){var i=e.userCode,a=n.map(function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),o=a.map(function(t){return t.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=Qa(a,s,i,e.packedInputs),c=t.createProgram(u),l=null,d=t.getUniformLocation(c,"NAN",!1);1===f().getNumber("WEBGL_VERSION")&&(l=t.getUniformLocation(c,"INFINITY",!1));for(var h={},p=0;p<e.variableNames.length;p++){var 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N={a:S,b:A};null!=u&&(N.bias=_),null!=f&&(N.preluActivationWeights=E);var T=[S,A];return Wt.runKernelFunc(function(t,e){var n=t.fusedBatchMatMul({a:S,b:A,transposeA:a,transposeB:s,bias:_,activation:l,preluActivationWeights:E});return e([S,A,n]),n},N,function(t,e){var n=e[0],r=e[1],i=e[2],o=ql(t,i,l),c={};return null!=u&&(c={bias:function(){return Hl(_,o)}}),a||s?!a&&s?Object.assign({a:function(){return o.matMul(r,!1,!1)},b:function(){return o.matMul(n,!0,!1)}},c):a&&!s?Object.assign({a:function(){return r.matMul(o,!1,!0)},b:function(){return n.matMul(o,!1,!1)}},c):Object.assign({a:function(){return r.matMul(o,!0,!0)},b:function(){return o.matMul(n,!0,!0)}},c):Object.assign({a:function(){return o.matMul(r,!1,!0)},b:function(){return n.matMul(o,!0,!1)}},c)},"_FusedMatMul",{transposeA:a,transposeB:s,activation:l},T,[!0]).reshape(O)}}),Kl=Dn({fusedConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,i=t.pad,a=t.dataFormat,o=void 0===a?"NHWC":a,s=t.dilations,u=void 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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),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],f=l[0],d=l[1],h=l[2],p=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],m=p[0],g=p[1],v=p[2],y=a*o,b=ar([s,a,o],t.dtype),x=b.values,w=this.blockSize,k=0;k<s;k++)for(var _=0;_<a;_+=w)for(var E=0;E<o;E+=w)for(var O=0;O<i;O+=w)for(var S=Math.min(_+w,a),C=Math.min(E+w,o),A=Math.min(O+w,i),N=_;N<S;N++)for(var T=E;T<C;T++){for(var I=0,D=O;D<A;D++)I+=u[k*f+N*d+D*h]*c[D*m+T*g+k*v];x[k*y+(N*o+T)]+=I}return b.toTensor()},e.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 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this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Zl(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=R(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Zl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Zl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Zl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Zl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Zl(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 this.makeOutput(n,t.shape,"float32")},e.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=ef(this,s,a,o)),s},e.prototype.conv2d=function(t,e,n){Zl([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,c="channelsLast"===n.dataFormat,l=ar(n.outShape,t.dtype),f=t.strides[0],d=c?t.strides[1]:t.strides[2],h=c?t.strides[2]:1,p=c?1:t.strides[1],m=l.strides[0],g=c?l.strides[1]:l.strides[2],v=c?l.strides[2]:1,y=c?1:l.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=l.values,k=0;k<n.batchSize;++k)for(var _=k*f,E=k*m,O=0;O<n.outHeight;++O)for(var S=E+O*g,C=O*n.strideHeight-u,A=0;A<r;A++){var N=C+A*a;if(!(N<0||N>=n.inHeight))for(var T=A*e.strides[0],I=_+N*d,D=0;D<n.outWidth;++D)for(var M=S+D*v,R=D*n.strideWidth-s,F=0;F<i;F++){var j=R+F*o;if(!(j<0||j>=n.inWidth))for(var P=I+j*h,L=T+F*e.strides[1],z=0;z<n.inChannels;++z){for(var B=b[P+z*p],U=0;U<n.outChannels;++U)w[M+U*y]+=B*x[L+U];L+=n.outChannels}}}return l.toTensor()},e.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,c=n.padInfo.front,l=n.padInfo.left,f=n.padInfo.top,d=ar(n.outShape,t.dtype),h=this.readSync(t.dataId),p=this.readSync(e.dataId),m=d.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*d.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*d.strides[1],w=b*n.strideDepth-c,k=0;k<r;k++){var _=w+k*o;if(!(_<0||_>=n.inDepth))for(var E=k*e.strides[0],O=v+_*t.strides[1],S=0;S<n.outHeight;++S)for(var C=x+S*d.strides[2],A=S*n.strideHeight-f,N=0;N<i;N++){var T=A+N*s;if(!(T<0||T>=n.inHeight))for(var I=E+N*e.strides[1],D=O+T*t.strides[2],M=0;M<n.outWidth;++M)for(var R=C+M*n.outChannels,F=M*n.strideWidth-l,j=0;j<a;j++){var P=F+j*u;if(!(P<0||P>=n.inWidth))for(var L=I+j*e.strides[2],z=D+P*n.inChannels,B=L,U=0;U<n.inChannels;++U){for(var W=h[z+U],V=0;V<n.outChannels;++V)m[R+V]+=W*p[B+V];B+=n.outChannels}}}}return d.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Zl([t,e],"conv2dDerInput");for(var r=ar(n.inShape,"float32"),i=r.values,a=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],f=n.batchSize,d=n.filterHeight,h=n.filterWidth,p=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,k=n.dataFormat,_=d-1-n.padInfo.top,E=h-1-n.padInfo.left,O="channelsLast"===k,S=r.strides[0],C=O?r.strides[1]:r.strides[2],A=O?r.strides[2]:1,N=O?1:r.strides[1],T=t.strides[0],I=O?t.strides[1]:t.strides[2],D=O?t.strides[2]:1,M=O?1:t.strides[1],R=0;R<f;++R)for(var F=0;F<p;++F)for(var j=0;j<m;++j)for(var P=j-_,L=Math.max(0,Math.ceil(P/x)),z=Math.min(y,(d+P)/x),B=0;B<g;++B){for(var U=B-E,W=Math.max(0,Math.ceil(U/w)),V=Math.min(b,(h+U)/w),q=0,H=L;H<z;++H)for(var G=H*x-P,$=W;$<V;++$)for(var K=T*R+I*H+D*$,X=u*(d-1-G)+c*(h-1-($*w-U))+l*F,Y=0;Y<v;++Y)q+=a[K+M*Y]*o[X+Y];i[S*R+C*j+A*B+N*F]=q}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=ar(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),f=t.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],k=n.batchSize,_=n.filterDepth,E=n.filterHeight,O=n.filterWidth,S=n.inChannels,C=n.inDepth,A=n.inHeight,N=n.inWidth,T=n.outChannels,I=n.outDepth,D=n.outHeight,M=n.outWidth,R=n.strideDepth,F=n.strideHeight,j=n.strideWidth,P=_-1-n.padInfo.front,L=E-1-n.padInfo.top,z=O-1-n.padInfo.left,B=0;B<k;++B)for(var U=0;U<S;++U)for(var W=0;W<C;++W)for(var V=W-P,q=Math.max(0,Math.ceil(V/R)),H=Math.min(I,(_+V)/R),G=0;G<A;++G)for(var $=G-L,K=Math.max(0,Math.ceil($/F)),X=Math.min(D,(E+$)/F),Y=0;Y<N;++Y){for(var J=Y-z,Z=Math.max(0,Math.ceil(J/j)),Q=Math.min(M,(O+J)/j),tt=0,et=q;et<H;++et)for(var nt=et*R-V,rt=K;rt<X;++rt)for(var it=rt*F-$,at=Z;at<Q;++at)for(var ot=d*B+h*et+p*rt+m*at,st=y*(_-1-nt)+b*(E-1-it)+x*(O-1-(at*j-J))+w*U,ut=0;ut<T;++ut)tt+=l[ot+ut]*g[st+ut];i[o*B+s*W+u*G+c*Y+U]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Zl([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=ar(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,f=this.bufferSync(t),d=this.bufferSync(e),h=0;h<a;++h)for(var p=Math.max(0,Math.ceil((l-h)/r)),m=Math.min(n.outHeight,(n.inHeight+l-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((c-g)/i)),y=Math.min(n.outWidth,(n.inWidth+c-g)/i),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,k=0;k<n.batchSize;++k)for(var _=p;_<m;++_)for(var E=h+_*r-l,O=v;O<y;++O){var S=g+O*i-c;w+=s?f.get(k,E,S,b)*d.get(k,_,O,x):f.get(k,b,E,S)*d.get(k,x,_,O)}u.set(w,h,g,b,x)}return u.toTensor()},e.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,c=ar(n.filterShape,"float32"),l=c.values,f=c.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],k=this.readSync(t.dataId),_=t.strides,E=_[0],O=_[1],S=_[2],C=_[3],A=n.padInfo.front,N=n.padInfo.left,T=n.padInfo.top,I=0;I<o;++I)for(var D=Math.max(0,Math.ceil((A-I)/r)),M=Math.min(n.outDepth,(n.inDepth+A-I)/r),R=I*d,F=0;F<s;++F)for(var j=Math.max(0,Math.ceil((T-F)/i)),P=Math.min(n.outHeight,(n.inHeight+T-F)/i),L=F*h+R,z=0;z<u;++z)for(var B=Math.max(0,Math.ceil((N-z)/a)),U=Math.min(n.outWidth,(n.inWidth+N-z)/a),W=z*p+L,V=0;V<n.inChannels;++V)for(var q=V*m+W,H=0;H<n.outChannels;++H){for(var G=0,$=0;$<n.batchSize;++$)for(var K=$*E,X=$*y,Y=D;Y<M;++Y)for(var J=(I+Y*r-A)*O+K,Z=Y*b+X,Q=j;Q<P;++Q)for(var tt=(F+Q*i-T)*S+J,et=Q*x+Z,nt=B;nt<U;++nt){var rt=nt*w+et;G+=k[(z+nt*a-N)*C+tt+V]*g[rt+H]}l[q+H]=G}return c.toTensor()},e.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=ef(this,s,a,o)),s},e.prototype.depthwiseConv2D=function(t,e,n){Zl([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,c=n.outChannels/n.inChannels,l=ar(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),h=l.values,p=0;p<n.batchSize;++p)for(var m=p*t.strides[0],g=p*l.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*l.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 k=x*e.strides[0],_=m+w*t.strides[1],E=0;E<n.outWidth;++E)for(var O=y+E*l.strides[2],S=E*n.strideWidth-u,C=0;C<i;++C){var A=S+C*o;if(!(A<0||A>=n.inWidth))for(var N=k+C*e.strides[1],T=_+A*n.inChannels,I=O,D=N,M=0;M<n.inChannels;++M){for(var R=f[T+M],F=0;F<c;++F)h[I+F]+=R*d[D+F];I+=c,D+=c}}}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Zl([t,e],"depthwiseConv2DDerInput");for(var r=ar(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,f=l[0],d=l[1],h=l[2],p=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,k=n.inChannels,_=n.inHeight,E=n.inWidth,O=n.outChannels,S=n.outHeight,C=n.outWidth,A=n.strideHeight,N=n.strideWidth,T=x-1-n.padInfo.top,I=w-1-n.padInfo.left,D=O/k,M=0;M<b;++M)for(var R=0;R<k;++R)for(var F=0;F<_;++F)for(var j=F-T,P=Math.max(0,Math.ceil(j/A)),L=Math.min(S,(x+j)/A),z=0;z<E;++z){for(var B=z-I,U=Math.max(0,Math.ceil(B/N)),W=Math.min(C,(w+B)/N),V=0,q=P;q<L;++q)for(var H=q*A-j,G=U;G<W;++G)for(var $=f*M+d*q+h*G,K=g*(x-1-H)+v*(w-1-(G*N-B))+y*R,X=0;X<D;++X)V+=c[$+(R*D+X)]*p[K+X];i[o*M+s*F+u*z+R]=V}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Zl([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=ar(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,f=this.bufferSync(t),d=this.bufferSync(e),h=0;h<a;++h)for(var p=Math.max(0,Math.ceil((c-h)/r)),m=Math.min(n.outHeight,(n.inHeight+c-h)/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/l),w=b%l,k=0,_=0;_<n.batchSize;++_)for(var E=p;E<m;++E)for(var O=h+E*r-c,S=v;S<y;++S){var C=g+S*i-u;k+=f.get(_,O,C,x)*d.get(_,E,S,b)}s.set(k,h,g,x,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Zl(t,"tile"),qa(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Zl(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=ar(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map(function(t,e){return t+i[e]});o.set.apply(o,[a.get.apply(a,u)].concat(c))}return o.toTensor()},e.prototype.gather=function(t,e,n){Zl([t,e],"gather");var r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;for(var a=ar(r,t.dtype),o=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=i[u[n]];var l=o.locToIndex(c);a.values[s]=o.values[l]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Zl([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=yr(t.shape,e,r),a=br(i.length,e.length),o=xr(t.shape,e,r),s=wr(n,e.length),u=kr(o,n,e.length);return fa(t.reshape(i),a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Zl([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=yr(o.shape,e,r,!1),u=br(s.length,e.length,!1),c=xr(o.shape,e,r,!1);return fa(o.reshape(s),u).reshape(c)},e.prototype.maxPool=function(t,e){return Zl(t,"maxPool"),Ql(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Zl([e,n],"maxPoolBackprop");for(var i=this.readSync(e.dataId),a=ar(r.outShape,e.dtype,tf(i,e.shape,e.dtype,r).values),o=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=f-1-r.padInfo.left,h=l-1-r.padInfo.top,p=ar(e.shape,"float32"),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-d,k=0,_=0;_<l;_+=u){var E=(x+_)/o;if(!(E<0||E>=r.outHeight||Math.floor(E)!==E))for(var O=0;O<f;O+=c){var S=(w+O)/s;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var C=l*f-1-a.get(g,E,S,v)===_*f+O?1:0;0!==C&&(k+=m.get(g,E,S,v)*C)}}}p.set(k,g,y,b,v)}return p.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Zl([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,f=l-1-n.padInfo.left,d=c-1-n.padInfo.top,h=ar(e.shape,"float32"),p=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-d,w=b-f,k=0,_=0;_<c;_+=s){var E=(x+_)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var O=0;O<l;O+=u){var S=(w+O)/i;S<0||S>=n.outWidth||Math.floor(S)!==S||(k+=m.get(g,E,S,v))}}h.set(k*p,g,y,b,v)}return h.toTensor()},e.prototype.pool3d=function(t,e,n){Zl(t,"pool3d");for(var r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=e.padInfo.front,h=e.padInfo.top,p=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),v=ar(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],k=e.outShape[4],_=0;_<e.batchSize;++_)for(var E=_*b,O=_*t.strides[0],S=0;S<e.inChannels;++S)for(var C=0;C<e.outDepth;++C){for(var A=C*r-d,N=A;N<0;)N+=o;for(var T=Math.min(e.inDepth,c+A),I=E+C*x,D=0;D<e.outHeight;++D){for(var M=D*i-h,R=M;R<0;)R+=s;for(var F=Math.min(e.inHeight,l+M),j=I+D*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,z=L;z<0;)z+=u;for(var B=Math.min(e.inWidth,f+L),U=j+P*k,W=m,V=0,q=0,H=N;H<T;H+=o){for(var G=O+H*t.strides[1],$=R;$<F;$+=s){for(var K=G+$*t.strides[2],X=z;X<B;X+=u){var Y=g[K+X*t.strides[3]+S];if("max"===n&&Y>W?W=Y:"avg"===n&&(V+=Y,q++),isNaN(W))break}if(isNaN(W))break}if(isNaN(W))break}y[U+S]="avg"===n?V/q:W}}}return v.toTensor()},e.prototype.avgPool3d=function(t,e){return Zl(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Zl([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,f=n.dilationWidth,d=n.effectiveFilterDepth,h=n.effectiveFilterHeight,p=n.effectiveFilterWidth,m=d-1-n.padInfo.front,g=p-1-n.padInfo.left,v=h-1-n.padInfo.top,y=ar(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var k=0;k<n.inChannels;++k)for(var _=0;_<n.inDepth;++_)for(var E=0;E<n.inHeight;++E)for(var O=0;O<n.inWidth;++O){for(var S=_-m,C=E-v,A=O-g,N=0,T=0;T<d;T+=c){var I=(S+T)/r;if(!(I<0||I>=n.outDepth||Math.floor(I)!==I))for(var D=0;D<h;D+=l){var M=(C+D)/i;if(!(M<0||M>=n.outHeight||Math.floor(M)!==M))for(var R=0;R<p;R+=f){var F=(A+R)/a;F<0||F>=n.outWidth||Math.floor(F)!==F||(N+=x.get(w,I,M,F,k))}}}y.set(N*b,w,_,E,O,k)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Zl(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=ar(e.outShape,"int32"),r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=e.padInfo.front,h=e.padInfo.top,p=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-d,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,c+b),k=0;k<e.outHeight;++k){for(var _=k*i-h,E=_;E<0;)E+=s;for(var O=Math.min(e.inHeight,l+_),S=0;S<e.outWidth;++S){for(var C=S*a-p,A=C;A<0;)A+=u;for(var N=Math.min(e.inWidth,f+C),T=Number.NEGATIVE_INFINITY,I=-1,D=x;D<w;D+=o)for(var M=D-b,R=E;R<O;R+=s)for(var F=R-_,j=A;j<N;j+=u){var P=j-C,L=m.get(g,D,R,j,v);L>=T&&(T=L,I=M*l*f+F*l+P)}n.set(I,g,y,k,S,v)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Zl([e,n],"maxPool3dBackprop");for(var i=this.maxPool3dPositions(e,r),a=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,f=r.effectiveFilterDepth,d=r.effectiveFilterHeight,h=r.effectiveFilterWidth,p=f-1-r.padInfo.front,m=h-1-r.padInfo.left,g=d-1-r.padInfo.top,v=ar(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 k=0;k<r.inDepth;++k)for(var _=0;_<r.inHeight;++_)for(var E=0;E<r.inWidth;++E){for(var O=k-p,S=_-g,C=E-m,A=0,N=0;N<f;N+=u){var T=(O+N)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var I=0;I<d;I+=c){var D=(S+I)/o;if(!(D<0||D>=r.outHeight||Math.floor(D)!==D))for(var M=0;M<h;M+=l){var R=(C+M)/s;if(!(R<0||R>=r.outWidth||Math.floor(R)!==R)){var F=f*d*h-1-y.get(x,T,D,R,w)===N*d*h+I*h+M?1:0;0!==F&&(A+=b.get(x,T,D,R,w)*F)}}}}v.set(A,x,k,_,E,w)}return v.toTensor()},e.prototype.cast=function(t,e){return Ca(t,e,this)},e.prototype.reshape=function(t,e){return Aa(t,e)},e.prototype.avgPool=function(t,e){return Zl(t,"avgPool"),Zl(t,"maxPool"),Ql(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Zl(t,"resizeBilinear");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(I([a,e,n,u])),f=[r&&e>1?o-1:o,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=0,p=f[0]/d[0],m=f[1]/d[1],g=0;g<a;g++)for(var v=0;v<e;v++)for(var y=p*v,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),k=g*t.strides[0]+b*t.strides[1],_=g*t.strides[0]+w*t.strides[1],E=0;E<n;E++)for(var O=m*E,S=Math.floor(O),C=O-S,A=Math.min(s-1,Math.ceil(O)),N=k+S*t.strides[2],T=_+S*t.strides[2],D=k+A*t.strides[2],M=_+A*t.strides[2],R=0;R<u;R++){var F=c[N+R],j=c[T+R],P=F+(c[D+R]-F)*C,L=P+(j+(c[M+R]-j)*C-P)*x;l[h++]=L}return jn(l,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Zl([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),d=[n&&c>1?a-1:a,n&&l>1?o-1:o],h=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=d[0]/h[0],m=d[1]/h[1],g=this.readSync(t.dataId),v=0,y=0;y<i;y++)for(var b=y*e.strides[0],x=0;x<c;x++)for(var w=x*p,k=Math.floor(w),_=Math.min(Math.ceil(w),a-1),E=b+k*e.strides[1],O=b+_*e.strides[1],S=w-k,C=1-S,A=0;A<l;A++)for(var N=A*m,T=Math.floor(N),I=Math.min(Math.ceil(N),o-1),D=N-T,M=1-D,R=E+T*e.strides[2],F=E+I*e.strides[2],j=O+T*e.strides[2],P=O+I*e.strides[2],L=C*M,z=C*D,B=S*M,U=S*D,W=0;W<s;W++){var V=g[v++];f[R+W]+=V*L,f[F+W]+=V*z,f[j+W]+=V*B,f[P+W]+=V*U}return Wn(f,[i,o,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Zl(t,"resizeNearestNeighbor");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),f=[r&&e>1?o-1:o,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=f[0]/d[0],p=f[1]/d[1],m=0,g=0;g<a;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=h*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var k=p*w,_=x+Math.min(s-1,r?Math.round(k):Math.floor(k))*t.strides[2],E=0;E<u;E++){var O=c[_+E];l[m++]=O}return jn(l,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Zl([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),d=this.readSync(t.dataId),h=[n&&c>1?a-1:a,n&&l>1?o-1:o],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=h[0]/p[0],g=h[1]/p[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 k=w*e.strides[0],_=0;_<a;_++)for(var E=k+_*e.strides[1],O=Math.floor(_*v),S=Math.floor(O-b/2),C=0;C<o;C++)for(var A=E+C*e.strides[2],N=Math.floor(C*y),T=Math.floor(N-x/2),I=0;I<s;I++){for(var D=0,M=0;M<b;M++){var R=M+S;if(!(R<0||R>=c)){var F=k+R*t.strides[1],j=R*m;if(_===Math.min(a-1,n?Math.round(j):Math.floor(j)))for(var P=0;P<x;P++){var L=P+T;if(!(L<0||L>=l)){var z=F+L*t.strides[2],B=L*g;C===Math.min(o-1,n?Math.round(B):Math.floor(B))&&(D+=d[z+I])}}}}f[A+I]=D}return Wn(f,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,i,a){Zl([t,e,n,i,a],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=i?this.readSync(i.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),f=new Float32Array(o.length),d=l.length,h=c.length,p=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)f[x]=l[g++]+(o[x]-s[v++])*c[y++]/Math.sqrt(u[b++]+r),g>=d&&(g=0),v>=m&&(v=0),y>=h&&(y=0),b>=p&&(b=0);return Wn(f,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,i){Zl(t,"localResponseNormalization4D");var a=t.shape[3],o=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(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 c=s[r];u+=c*c}return u}for(var f=0;f<u;f++){var d=l(f),h=s[f]*Math.pow(n+r*d,-i);c[f]=h}return Wn(c,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){Zl(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),f=new Float32Array(t.size),d=t.size,h=0;h<d;h++){for(var p=h%s,m=h-p+Math.max(0,p-r),g=h-p+Math.min(s,p+r+1),v=0,y=m;y<g;y++)v+=Math.pow(c[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*c[y]*l[h]/v;h===y&&(b+=Math.pow(v,-o)),b*=u[h],f[y]+=b}}return Wn(f,t.shape)},e.prototype.multinomial=function(t,e,n,r){Zl(t,"multinomial");for(var i=e?t:ca(t),a=i.shape[0],o=i.shape[1],s=$n([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(i.dataId),l=0;l<a;++l){var f=l*o,d=new Float32Array(o-1);d[0]=c[f];for(var h=1;h<d.length;++h)d[h]=d[h-1]+c[f+h];for(var p=Ps(r.toString()),m=l*n,g=0;g<n;++g){var v=p();u[m+g]=d.length;for(var y=0;y<d.length;y++)if(v<d[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Zl(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 Bn(i,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return Zl(t,"nonMaxSuppression"),Pa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,i)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=ar(t.shape,"float32"),a=ar(t.shape,"float32"),o=Rn(t).as2D(n,r),s=Fn(t).as2D(n,r),u=0;u<n;u++)for(var c=o.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),f=Mn(c,l),d=this.readSync(this.fftImpl(f,e).dataId),h=0;h<r;h++){var p=Da(d,h);i.values[u*r+h]=p.real,a.values[u*r+h]=p.imag}return Mn(i.toTensor(),a.toTensor()).as2D(n,r)},e.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=Mn(Rn(i).div(Ln(r)),Fn(i).div(Ln(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 Mn(o.real,o.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.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=Mn(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=Mn(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var c=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),l=Mn(c.real,c.imag).mul(u),f=o.add(l),d=o.sub(l),h=Rn(f).concat(Rn(d)),p=Fn(f).concat(Fn(d));return Mn(h,p).as1D()},e.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=Ra(i*s,e,n),c=Da(t,s);a+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(a/=e,o/=e),Ma(r,a,o,i)}return r},e.prototype.depthToSpace=function(t,e,n){C("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),C(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,c=o/(e*e),l=this.readSync(t.dataId),f=new Float32Array(r*s*u*c),d=0,h=0;h<r;++h)for(var p=0;p<s;++p)for(var m=Math.floor(p/e),g=p%e,v=0;v<u;++v)for(var y=Math.floor(v/e),b=(g*e+v%e)*c,x=0;x<c;++x){var w=x+b+o*(y+a*(m+i*h));f[d++]=l[w]}return Wn(f,[r,s,u,c])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=Ur(t.shape,e.shape),a=ar(i,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=zr(t.shape,i),c=zr(e.shape,i),l=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;++f)l[f]=r(o[f%o.length],s[f%s.length]);else{var d=this.bufferSync(t),h=this.bufferSync(e),p=function(n){var i=a.indexToLoc(n),f=i.slice(-t.rank);u.forEach(function(t){return f[t]=0});var p=d.locToIndex(f),m=i.slice(-e.rank);c.forEach(function(t){return m[t]=0});var g=h.locToIndex(m);l[n]=r(o[p],s[g])};for(f=0;f<l.length;++f)p(f)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Ur(t.shape,e.shape),i=ar(r,"float32"),a=ar(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=zr(t.shape,r),c=zr(e.shape,r),l=i.values,f=a.values;if(u.length+c.length===0)for(var d=0;d<l.length;d++){var h=d%o.length,p=d%s.length,m=n(o[2*h],o[2*h+1],s[2*p],s[2*p+1]);l[d]=m.real,f[d]=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),d=a.slice(-t.rank);u.forEach(function(t){return d[t]=0});var h=g.locToIndex(d),p=a.slice(-e.rank);c.forEach(function(t){return p[t]=0});var m=v.locToIndex(p),y=n(o[2*h],o[2*h+1],s[2*m],s[2*m+1]);l[r]=y.real,f[r]=y.imag};for(d=0;d<l.length;d++)y(d)}return this.complex(i.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return Va(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,i,a){for(var o=t.shape,s=o[0],u=o[1],c=o[2],l=o[3],f=e.shape[0],d=r[0],h=r[1],p=ar([f,d,h,l],"float32"),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),y=t.strides,b=p.strides,x=0;x<f;x++){var w=4*x,k=m[w],_=m[w+1],E=m[w+2],O=m[w+3],S=g[x];if(!(S>=s))for(var C=d>1?(E-k)*(u-1)/(d-1):0,A=h>1?(O-_)*(c-1)/(h-1):0,N=0;N<d;N++){var T=d>1?k*(u-1)+N*C:.5*(k+E)*(u-1);if(T<0||T>u-1)for(var I=0;I<h;I++)for(var D=0;D<l;D++){var M=D+I*b[2]+N*b[1]+x*b[0];p.values[M]=a}else if("bilinear"===i){var R=Math.floor(T),F=Math.ceil(T),j=T-R;for(I=0;I<h;I++)if((H=h>1?_*(c-1)+I*A:.5*(_+O)*(c-1))<0||H>c-1)for(D=0;D<l;D++)M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=a;else{var P=Math.floor(H),L=Math.ceil(H),z=H-P;for(D=0;D<l;D++){var B=v[M=D+P*y[2]+R*y[1]+S*y[0]],U=v[M=D+L*y[2]+R*y[1]+S*y[0]],W=v[M=D+P*y[2]+F*y[1]+S*y[0]],V=B+(U-B)*z,q=W+(v[M=D+L*y[2]+F*y[1]+S*y[0]]-W)*z;M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=V+(q-V)*j}}}else for(I=0;I<h;++I){var H;if((H=h>1?_*(c-1)+I*A:.5*(_+O)*(c-1))<0||H>c-1)for(D=0;D<l;D++)M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=a;else{var G=Math.round(H),$=Math.round(T);for(D=0;D<l;D++){var K=D+G*y[2]+$*y[1]+S*y[0],X=D+I*b[2]+N*b[1]+x*b[0];p.values[X]=v[K]}}}}}return p.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var i=Gi(0,t,n),a=i.sliceRank,o=i.numUpdates,s=i.sliceSize,u=i.strides,c=i.outputSize;return this.scatter(t,e,n,c,s,o,a,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Bi(t,e),a=i[0],o=i[1],s=i[2],u=i[3];if(0===o)return jn([],a,t.dtype);for(var c=new wt([o,s],t.dtype),l=this.readSync(e.dataId),f=this.readSync(t.dataId),d=0;d<o;d++){for(var h=[],p=0,m=0;m<r;m++){var g=l[d*r+m];p+=g*u[m],h.push(g)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: "+h+" does not index into "+t.shape);for(var v=0;v<s;v++)c.values[d*s+v]=f[p*s+v]}return c.toTensor().reshape(a)},e.prototype.scatterND=function(t,e,n){var r=Gi(0,t,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=Ln(0);return this.scatter(t,e,n,u,o,a,i,s,c,!0)},e.prototype.fill=function(t,e,n){var r=W(n=n||Z(e),I(t));return r.fill(e),Wt.makeTensor(r,t,n,this)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){var e=W(t.dtype,I(t.shape));return this.makeOutput(e,t.shape,t.dtype)},e.prototype.linspace=function(t,e,n){return Na(t,e,n)},e.prototype.scatter=function(t,e,n,r,i,a,o,s,u,c){var l=[r/i,i],f=this.readSync(t.dataId),d=this.readSync(e.dataId);if(0===r)return jn([],n,e.dtype);var h=new wt(l,e.dtype);h.values.fill(this.readSync(u.dataId)[0]);for(var p=0;p<a;p++){for(var m=[],g=0,v=0;v<o;v++){var y=f[p*o+v];m.push(y),g+=y*s[v]}if(g<0||g>=r/i)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<i;b++)c?h.values[g*i+b]+=d[p*i+b]:h.values[g*i+b]=0===e.rank?d[0]:d[p*i+b]}return h.toTensor().reshape(n)},e}(ha);function rf(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,i=n.backend,a=r,o=a.a,s=a.b,u=i;Zl([o,s],t);var c=u.data.get(o.dataId).values,l=u.data.get(s.dataId).values,f=e(o.shape,s.shape,c,l,o.dtype),d=f[0],h=f[1];return{dataId:u.write(d,h,o.dtype),shape:h,dtype:o.dtype}}}}function af(t){return function(e,n,r,i,a){var o=Ur(e,n),s=o.length,u=et(o),c=U(a,I(o)),l=e.length,f=n.length,d=et(e),h=et(n),p=zr(e,o),m=zr(n,o);if(p.length+m.length===0)for(var g=0;g<c.length;++g)c[g]=t(r[g%r.length],i[g%i.length]);else{var v=function(e){var n=ft(e,s,u),a=n.slice(-l);p.forEach(function(t){return a[t]=0});var o=lt(a,l,d),g=n.slice(-f);m.forEach(function(t){return g[t]=0});var v=lt(g,f,h);c[e]=t(r[o],i[v])};for(g=0;g<c.length;++g)v(g)}return[c,o]}}Wt.registerBackend("cpu",function(){return new nf},1);var of=af(function(t,e){return t/e}),sf=rf(Or,of),uf={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,i=e.x,a=n,o=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;Zl(i,"MaxPoolWithArgmax");var f=l.data.get(i.dataId).values,d=ma(i.shape,o,s,[1,1],u),h=function(t,e,n,r,i){var a=Ql(t,0,n,et(e),i,"max"),o=tf(t,e,n,i,!0,r);return[a.values,o.values]}(f,i.shape,i.dtype,c,d),p=h[0],m=h[1],g=l.write(p,d.outShape,i.dtype),v=l.write(m,d.outShape,i.dtype);return[{dataId:g,shape:d.outShape,dtype:i.dtype},{dataId:v,shape:d.outShape,dtype:"int32"}]}},cf={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,i=e,a=i.boxes,o=i.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,f=s.softNmsSigma,d=n;Zl(a,"NonMaxSuppressionWithScore");var h=La(d.data.get(a.dataId).values,d.data.get(o.dataId).values,u,c,l,f);return[h.selectedIndices,h.selectedScores]}},lf={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,i=n;Zl(r,"square");for(var a=i.data.get(r.dataId).values,o=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];o[s]=u*u}return{dataId:i.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},ff=af(function(t,e){var n=t-e;return n*n});function df(t,e,n,r,i){for(var a=I(e),o=e.length,s=et(e),u=et(i),c=U(n,I(i)),l=0;l<a;++l){for(var f=ft(l,o,s),d=new Array(f.length),h=0;h<d.length;h++)d[h]=f[r[h]];c[lt(d,o,u)]=t[l]}return c}for(var hf=0,pf=[cf,lf,rf(Cr,ff),sf,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,i=e.x,a=n.perm,o=r;Zl(i,"transpose");for(var s=i.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=i.shape[a[c]];var l=df(o.data.get(i.dataId).values,i.shape,i.dtype,a,u);return{dataId:o.write(l,u,i.dtype),shape:u,dtype:i.dtype}}},uf];hf<pf.length;hf++)y(pf[hf]);for(var mf,gf=0,vf=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,i=e.pixels,a=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&i instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&i instanceof HTMLImageElement,u=o?[i.videoWidth,i.videoHeight]:[i.width,i.height],c=u[0],l=u[1],d=[l,c],h=[l,c,a];(s||o)&&(null==mf&&(mf=document.createElement("canvas").getContext("2d")),mf.canvas.width=c,mf.canvas.height=l,mf.drawImage(i,0,0,c,l),i=mf.canvas);var p=n.makeTensorInfo(d,"int32");n.texData.get(p.dataId).usage=Gt.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),i);var m=f().getBool("WEBGL_PACK")?new function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Xa(),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) /\n                       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    "}(h):new function(t){this.variableNames=["A"];var e=Xa(),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    "}(h),g=n.runWebGLProgram(m,[p],"int32");return n.disposeData(p.dataId),g}},{kernelName:Or,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e;return function(t,e,n){var r=new mo("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return f().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new vo("\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",t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(r.a,r.b,n)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;vn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=e,a=i.boxes,o=i.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,f=s.softNmsSigma,d=n,h=La(d.readSync(a.dataId),d.readSync(o.dataId),u,c,l,f);return[h.selectedIndices,h.selectedScores]}},{kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,i=n,a=new ss(r.shape,"return x * x;");return i.runWebGLProgram(a,[r],r.dtype)}},{kernelName:Cr,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e,i=r.a,a=r.b,o=n,s=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vo("return (a - b) * (a - b);",i.shape,a.shape):new mo("return (a - b) * (a - b);",i.shape,a.shape);return o.compileAndRun(s,[i,a])}},{kernelName:"Transpose",backendName:"webgl",kernelFunc:function(t){for(var e,n=t.inputs,r=t.attrs,i=t.backend,a=n.x,o=r.perm,s=i,u=a.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=a.shape[o[l]];if(s.shouldExecuteOnCPU([a])){var d=df(s.texData.get(a.dataId).values,a.shape,a.dtype,o,c);e=s.makeTensorInfo(c,a.dtype),s.texData.get(e.dataId).values=d}else e=function(t,e,n){var r=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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=oo(this.rank),a=$a("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],c="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "}(t.shape,e):new 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=oo(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    "}(t.shape,e);return n.runWebGLProgram(r,[t],t.dtype)}(a,o,s);return e}},{kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,i=e.x,a=n,o=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;C(4===i.shape.length,function(){return"Error in maxPool: input must be rank 4 but got rank "+i.shape.length+"."});var f=[1,1];C(Oa(s,f),function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+s+" and dilations '"+f+"'"});var d=ma(i.shape,o,s,f,u),h=function(t,e,n,r){var i=new Yo(n,"max",!1),a=r.runWebGLProgram(i,[t],"float32");return i=new Yo(n,"max",!0,!0,e),[a,r.runWebGLProgram(i,[t],"float32")]}(i,c,d,l);return[h[0],h[1]]}}];gf<vf.length;gf++)y(vf[gf]);for(var yf=0,bf=[{kernelName:_r,inputsToSave:["a","b"],gradFunc:function(t,e){var n=e[0],r=e[1],i=Ur(n.shape,r.shape);return{a:function(){var e=t,r=Br(n.shape,i);return r.length>0&&(e=e.sum(r)),e.reshape(n.shape)},b:function(){var e=t,n=Br(r.shape,i);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)}}}},{kernelName:"AddN",saveAllInputs:!0,gradFunc:function(t,e){var n={};return e.forEach(function(e,r){n[r]=function(){return t.clone()}}),n}},{kernelName:Ir,gradFunc:function(t,e,n){for(var r=n,i=r.inputShape,a=r.shape,o=Array.from(a),s=i.length-1;s>=0;s--)if(i[s]===a[s])o[s]=1;else if(1!==i[s])throw new Error("broadcastTo(): ["+i+"] cannot be broadcast to ["+a+"].");var 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t.prototype.listModels=function(){return u(this,void 0,void 0,function(){var t=this;return c(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return zf(r)},r.onsuccess=function(){var t=r.result,i=t.transaction(Pf,"readonly"),a=i.objectStore(Pf).getAll();a.onsuccess=function(){for(var t={},n=0,r=a.result;n<r.length;n++){var i=r[n];t[i.modelPath]=i.modelArtifactsInfo}e(t)},a.onerror=function(e){return t.close(),n(a.error)},i.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return u(this,void 0,void 0,function(){var e=this;return c(this,function(n){var r;return t=(r=t).startsWith(Bf.URL_SCHEME)?r.slice(Bf.URL_SCHEME.length):r,[2,new Promise(function(n,r){var i=e.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return zf(i)},i.onsuccess=function(){var e,a=i.result,o=a.transaction(Pf,"readwrite"),s=o.objectStore(Pf),u=s.get(t);u.onsuccess=function(){if(null==u.result)return a.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var i=s.delete(t),o=function(){var i=(e=a.transaction(jf,"readwrite")).objectStore(jf).delete(t);i.onsuccess=function(){return n(u.result.modelArtifactsInfo)},i.onerror=function(t){return r(u.error)}};i.onsuccess=o,i.onerror=function(t){return o(),a.close(),r(u.error)}},u.onerror=function(t){return a.close(),r(u.error)},o.oncomplete=function(){null==e?a.close():e.oncomplete=function(){return a.close()}}},i.onerror=function(t){return r(i.error)}})]})})},t}();if(f().getBool("IS_BROWSER"))try{Mf.registerManager(Bf.URL_SCHEME,new Wf)}catch(o){}var Vf="/",qf="tensorflowjs_models",Hf="info",Gf="model_topology",$f="weight_specs",Kf="weight_data",Xf="model_metadata";function 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n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},i=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),(a=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=i,[4,id(function(){return a.dispatchEvent(new MouseEvent("click"))})];case 2:return s.sent(),null==t.weightData?[3,4]:((o=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,o.href=e,[4,id(function(){return o.dispatchEvent(new MouseEvent("click"))})]);case 3:s.sent(),s.label=4;case 4:return[2,{modelArtifactsInfo:Tf(t)}]}})})},t.URL_SCHEME="downloads://",t}(),od=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return 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Please verify this URL points to the model JSON of the model to load.");c.label=2;case 2:return c.trys.push([2,4,,5]),[4,t.json()];case 3:return e=c.sent(),[3,5];case 4:throw c.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. 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The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new md({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. 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Labels and predictions should have the same number of elements."}),C(n>0&&Number.isInteger(n),function(){return"numClasses is required to be a positive integer, but got "+n});var a=du(r.asType("int32"),n),o=du(i.asType("int32"),n);return a.transpose().matMul(o).asType("int32")}}),bd=Object.freeze({confusionMatrix:yd}),xd=Dn({fromPixels_:function(t,e){if(void 0===e&&(e=3),e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n=!1,r=!1,i=!1,a=!1,o=!1;if(t.data instanceof Uint8Array)n=!0;else if("undefined"!=typeof ImageData&&t instanceof ImageData)r=!0;else if("undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement)i=!0;else if("undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement)a=!0;else{if(null==t.getContext)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);o=!0}if(i&&i&&t.readyState<2)throw new Error("The video element has not loaded data yet. 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c(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return u(this,void 0,void 0,function(){var e;return c(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}(kd);Object.defineProperty(Ad,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var Nd=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=Wt.backend.epsilon()),i}return s(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=Wt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:rn(function(){return Zn(i).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:rn(function(){return Zn(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;rn(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&&(an(this.accumulatedGrads.map(function(t){return t.variable})),an(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){var t;return c(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 u(this,void 0,void 0,function(){var e;return c(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}(Ad);Ed(Nd);var Td=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 s(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=Wt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:rn(function(){return Kn(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;rn(function(){var t=o.add(a.square());o.assign(t);var n=a.div(t.add(Wt.backend.epsilon()).sqrt()).mul(-e.learningRate).add(i);i.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&an(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(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 u(this,void 0,void 0,function(){return c(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}(Ad);Ed(Td);var Id=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=[],rn(function(){a.accBeta1=Ln(n).variable(),a.accBeta2=Ln(r).variable()}),null==i&&(a.epsilon=Wt.backend.epsilon()),a}return s(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);rn(function(){var r=Pi(1,e.accBeta1),i=Pi(1,e.accBeta2);n.forEach(function(n,a){var o=Wt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:rn(function(){return Zn(o).variable(!1)})}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:rn(function(){return Zn(o).variable(!1)})});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedSecondMoment[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),f=c.mul(e.beta2).add(s.square().mul(1-e.beta2)),d=l.div(r),h=f.div(i);u.assign(l),c.assign(f);var p=d.div(h.sqrt().add(e.epsilon)).mul(-e.learningRate).add(o);o.assign(p)}}),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&&an(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&an(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){var t;return c(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 u(this,void 0,void 0,function(){var e,n=this;return c(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),rn(function(){n.accBeta1.assign(Ri(n.beta1,n.iterations_+1)),n.accBeta2.assign(Ri(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}(Ad);Ed(Id);var Dd=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=[],rn(function(){o.iteration=Ln(0).variable(),o.accBeta1=Ln(n).variable()}),null==i&&(o.epsilon=Wt.backend.epsilon()),o}return s(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);rn(function(){var r=Pi(1,e.accBeta1),i=zi(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,a){var o=Wt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:Zn(o).variable(!1)}),null==e.accumulatedWeightedInfNorm[a]&&(e.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:Zn(o).variable(!1)});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedWeightedInfNorm[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),f=c.mul(e.beta2),d=s.abs(),h=f.maximum(d);u.assign(l),c.assign(h);var p=i.div(r).mul(l.div(h.add(e.epsilon))).add(o);o.assign(p)}}),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&&an(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&an(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return u(this,void 0,void 0,function(){return c(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}(Ad);Ed(Dd);var Md=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return s(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=Wt.registeredVariables[n];rn(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=on(Ln(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return u(this,void 0,void 0,function(){return c(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}(Ad);Ed(Md);var Rd=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=Ln(i.momentum),i}return s(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=Wt.registeredVariables[n];null==e.accumulations[r]&&(e.accumulations[r]={originalName:n+"/momentum",variable:rn(function(){return Zn(i).variable(!1)})});var a=e.accumulations[r].variable,o=Array.isArray(t)?t[r].tensor:t[n];null!=o&&rn(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&&an(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(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 u(this,void 0,void 0,function(){return c(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}(Md);Ed(Rd);var Fd=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;if(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=Wt.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return o}return s(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=Wt.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:rn(function(){return Zn(i).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:rn(function(){return Zn(i).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:rn(function(){return Zn(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;rn(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)),c=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(c);var l=i.sub(c);i.assign(l)}else{var f=o.mul(e.decay).add(a.square().mul(1-e.decay));c=s.mul(e.momentum).add(a.mul(e.learningRate).div(f.add(e.epsilon).sqrt())),o.assign(f),s.assign(c),l=i.sub(c),i.assign(l)}})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&an(this.accumulatedMeanSquares.map(function(t){return t.variable})),null!=this.accumulatedMeanGrads&&this.centered&&an(this.accumulatedMeanGrads.map(function(t){return t.variable})),null!=this.accumulatedMoments&&an(this.accumulatedMoments.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){var t;return c(this,function(e){switch(e.label){case 0:return t=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&t.push.apply(t,this.accumulatedMeanGrads),[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 u(this,void 0,void 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  /**
   * @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.
   * =============================================================================
   */
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0===i&&(i=1),this.throwIfDisposed(),_t.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(),_t.conv2d(this,t,e,n,r,i,a)},t.prototype.conv2dTranspose=function(t,e,n,r,i){return this.throwIfDisposed(),_t.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(),_t.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(),_t.separableConv2d(this,t,e,n,r,i,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),_t.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),_t.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),_t.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,i){return this.throwIfDisposed(),_t.pool(this,t,e,n,r,i)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),kt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),_t.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),_t.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),_t.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),_t.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(),_t.stridedSlice(this,t,e,n,r,i,a,o,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),_t.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),_t.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),_t.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),_t.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),_t.spectral.irfft(this)},t}();Object.defineProperty(Ot,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var St,Ct,At,Nt,Tt,It=function(t){function e(e,n,r,i){var a=t.call(this,e.shape,e.dtype,e.dataId,i)||this;return a.trainable=n,a.name=r,a}return s(e,t),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(!D(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");kt().disposeTensor(this),this.dataId=t.dataId,kt().incRef(this,null)},e.prototype.dispose=function(){kt().disposeVariable(this),this.isDisposedInternal=!0},e}(Ot);Object.defineProperty(It,Symbol.hasInstance,{value:function(t){return t instanceof Ot&&null!=t.assign&&t.assign instanceof Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(St||(St={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(Ct||(Ct={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(At||(At={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(Nt||(Nt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(Tt||(Tt={}));var Dt={float32:Nt,int32:Ct,bool:At,complex64:Tt};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 Rt(t){return Mt(t,"int32")}function Ft(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 jt(t,e){C(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function Pt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof Ot)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 Lt,zt=Object.freeze({makeTypesMatch:Ft,assertTypesMatch:jt,isTensorInList:function(t,e){return e.some(function(e){return e.id===t.id})},getTensorsInContainer:Pt}),Bt=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.numDataMovesStack=[],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}(),Ut=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Bt}return t.prototype.ready=function(){return u(this,void 0,void 0,function(){var t,e,n;return c(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() or await tf.setBackend() 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() or await tf.setBackend() 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 u(this,void 0,void 0,function(){var e,n,r;return c(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.setupRegisteredKernels(),this.profiler=new ht(this.backendInstance),[2,!0]}})})},t.prototype.setupRegisteredKernels=function(){var t=this;v(this.backendName).forEach(function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)})},t.prototype.disposeRegisteredKernels=function(t){var e=this;v(t).forEach(function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])})},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.disposeRegisteredKernels(t),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){var n=this.state.tensorInfo.get(e),r=n.backend,i=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,i,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},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=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],function(t){return{x:function(){return t.toFloat()}}},[]),e},t.prototype.runKernel=function(t,e,n,r,i){return this.runKernelFunc(null,e,null,t,n,r,i)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),i=0;n.forEach(function(t){i+="complex64"===t.dtype?3:1});var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-i-a;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,i,a,o){var s,u=this;void 0===a&&(a=[]),void 0===o&&(o=[]);var c=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=function(t){l&&(c=t.map(function(t){return u.keep(u.clone(t))}))},h=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var g,v=m(r,this.backendName);return f=null!=v?function(){var t=u.backend.numDataIds();g=v.kernelFunc({inputs:e,attrs:i,backend:u.backend});var n=Array.isArray(g)?g:[g];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map(function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}),c=s.filter(function(t,e){return o[e]});return d((a||[]).slice().concat(c)),s}:function(){var e=u.backend.numDataIds();g=u.tidy(function(){return t(u.backend,d)});var n=Array.isArray(g)?g:[g];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n},this.scopedRun(function(){return u.state.kernelDepth++},function(){return u.state.kernelDepth--},function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,function(){return f()}):f()}),l&&this.addTapeNode(r,e,s,n,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShapes:s.map(function(t){return t.shape})}),Array.isArray(g)?s:s[0]},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var i=t;"string"===n&&X(t[0])&&(i=t.map(function(t){return ut(t)}));var a=r.write(i,e,n),o=new Ot(e,n,a,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(a),u=K(i);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.prototype.makeTensorFromDataId=function(t,e,n,r){var i=new Ot(e,n=n||"float32",t,this.nextTensorId());return this.incRef(i,r),i},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var i=new It(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error("Variable with name "+i.name+" was already registered");return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i},t.prototype.incRef=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*$(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof It||this.track(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 u(this,void 0,void 0,function(){var e,n;return c(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,r,i){var a=this,o={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:i},s=g(t);null!=s&&(r=s.gradFunc),null!=r&&(o.gradient=function(t){return t=t.map(function(t,e){if(null==t){var r=n[e],i=at(r.size,r.dtype);return a.makeTensor(i,r.shape,r.dtype)}return t}),r(t.length>1?t:t[0],i)}),this.state.activeTape.push(o)},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=Pt(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),C(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)});C(a instanceof Ot,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=(p=t[a]).inputs;for(var s in o){for(var u=o[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach(function(t){return r[t.id]=!0}),c=!0,i[p.id]=!0;break}if(c)break}}var f={};f[n.id]=!0;var d={};for(a=t.length-1;a>=0;a--)for(o=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(f[p.outputs[l].id]){for(var s in o)f[o[s].id]=!0,d[p.id]=!0;break}var h=[];for(a=0;a<t.length;a++){var p;if(i[(p=t[a]).id]&&d[p.id]){var m={};for(var s in p.inputs){var g=p.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},p);v.inputs=m,v.outputs=p.outputs,h.push(v)}}return h}(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=it(I(t=a.shape),"float32"),Wt.makeTensor(r,t,"float32")):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];null!=n?a.push(n):a.push(null)}),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var o=i.gradient(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.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=i.inputs[e];if(!D(r.shape,a.shape))throw new Error("Error in gradient for op "+i.kernelName+". 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oa(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function sa(t,e){return 1===e?[t]:oa(t,e)}function ua(){var t,e,n,r,i,a,o,s,u,c;return 2===f().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",i="texture",a="outputColor",o="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",c="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",i="texture2D",a="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",c="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:i,output:a,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:c}}function ca(t,e,n){void 0===n&&(n="index");var r=et(e);return r.map(function(e,i){return"int "+t[i]+" = "+n+" / "+e+"; "+(i===r.length-1?"int "+t[i+1]+" = "+n+" - "+t[i]+" * "+e:"index -= "+t[i]+" * "+e)+";"}).join("")}function la(t){var e=et(t).map(function(t){return t.toString()});return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var fa="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function da(t,e,n,r){var i=[];t.forEach(function(t){var e=I(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=ua(),"\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=ua();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=ua();if(null!=i&&D(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)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+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=xa(e,s);return"\n        "+t(u)+"\n        vec4 "+i+"(int b, int row, int col) {\n          return "+i+"("+wa(["b","row","col"],[1,2])+");\n        }\n      "}var c=o[0],l=o[1],f=Math.ceil(n[2]/2),d=f*Math.ceil(n[1]/2),h=ua();return"\n    vec4 "+i+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+c+", "+l+", "+d+", "+f+", b, row, col);\n      return "+h.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],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),f="int b, int row, int col",d="b * "+l+" + (row / 2) * "+c+" + (col / 2)",h=2;h<n-1;h++)f="int b"+h+", "+f,l*=e[n-h-1],d="b"+h+" * "+l+" + "+d;var p=ua();return"\n    vec4 "+i+"("+f+") {\n      int index = "+d+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.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],c=va(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\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        "+ya(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=va(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&&D(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=B(n),c=u.newShape,l=u.keptDims,f=c;if(f.length<n.length){var d=xa(e,f);return"\n      "+t(d)+"\n      float "+i+"(int row, int col) {\n        return "+i+"("+wa(["row","col"],l)+");\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        "+ya(e)+"\n      }\n    ";var h=a[0],p=a[1],m=va(r);return 1===p?"\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) / "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===h?"\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) / "+p+".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("+h+", "+p+", 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=B(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var f=xa(e,l);return"\n        "+t(f)+"\n        float "+i+"(int row, int col, int depth) {\n          return "+i+"("+wa(["row","col","depth"],c)+");\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        "+ya(e)+"\n      }\n    ";var d=e.shapeInfo.texShape,h=d[0],p=d[1],m=e.shapeInfo.flatOffset;if(p===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("+p+".0, "+h+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(p===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("+p+".0, "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var g=va(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("+h+", "+p+", 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=B(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var f=xa(e,c);return"\n      "+t(f)+"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        return "+i+"("+wa(["row","col","depth","depth2"],l)+");\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        "+ya(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],m=h[1];if(m===s&&null==d)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, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===a&&null==d)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, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var g=va(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("+p+", "+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,c=B(n),l=c.newShape,f=c.keptDims;if(l.length<n.length){var d=xa(e,l);return"\n      "+t(d)+"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+i+"("+wa(["row","col","depth","depth2","depth3"],f)+");\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        "+ya(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,m=p[0],g=p[1];if(g===u&&null==h)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==h)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=va(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=B(n),o=a.newShape,s=a.keptDims;if(o.length<n.length){var u=xa(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+"("+wa(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var c=n[5],l=n[4]*c,f=n[3]*l,d=n[2]*f,h=n[1]*d;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("+h+", "+d+", "+f+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+c+", 1)));\n        "+ya(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];if(v===h&&null==p)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("+d+", "+f+", "+l+", "+c+")) +\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===c&&null==p)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=va(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 * "+h+" + col * "+d+" + depth * "+f+" +\n          depth2 * "+l+" + depth3 * "+c+" + 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=Oi(t.shapeInfo.logicalShape,e.logicalShape),c=ba(s),l=s-o,f=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+f[t+l]+" = 0;"}).join("\n");var d;d=s<2&&o>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+f[e+l]}).join(", ");var h="return outputValue;",p=1===I(t.shapeInfo.logicalShape),m=1===I(e.logicalShape);if(1!==o||p||m){if(p&&!m)h=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var g=o-2,v=o-1;u.indexOf(g)>-1&&u.indexOf(v)>-1?h="return vec4(outputValue.x);":u.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(v)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+d+");\n      "+h+"\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&&D(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c=ba(u),l=Oi(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+c+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&l.length>=1?"coords = 0;":l.map(function(t){return"coords."+d[t+f]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+d[e+f]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),c=e.texShape,l=ua(),f="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+l.texture2D+"(textureSampler, uv).r;\n    }\n  ",d=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    "+ha+"\n    "+pa+"\n    "+ma+"\n  "}(l);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(D(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,c),o="\n    void setOutput(vec4 val) {\n      "+l.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 D(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=ca(["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=ca(["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=ca(["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=ca(["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,c),o="\n    void setOutput(float val) {\n      "+l.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(d+=ga),[d,f,o,s,a,u,n].join("\n")}var ha="\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",pa="\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",ma="\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",ga="\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 va(t){return"offset"+t}function ya(t){var e=t.name,n=I(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 ba(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 xa(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function wa(t,e){return e.map(function(e){return t[e]}).join(", ")}var ka=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Ci(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    "},_a="return a + b;",Ea="return a - b;",Oa="return a * b;",Sa="return (a < 0.) ? b * a : a;",Ca=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Ci(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    "},Aa="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Na=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Ci(e,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===I(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+ba(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=sa("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    "},Ta=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}(),Ia=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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}();function Da(t,e,n){var r=t.indexOf(e);return t.map(function(t,e){return e===r?t+" - "+n:t}).join()}var Ma=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,c=t.dilationWidth,l=t.filterHeight,f=t.filterWidth,d=4*Math.floor(t.inChannels/4),h=t.inChannels%4,p="channelsLast"===t.dataFormat,m=p?1:2,g=p?2:3,v=p?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 < "+l+"; 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 < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+d+"; 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 ("+p+") {\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===h)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+d+") *\n                    getW(wR, wC, "+d+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+d+", xR, xC) *\n                    getW(wR, wC, "+d+", d2);\n              }\n\n            } else if ("+(2===h)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===h)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2),\n                getW(wR, wC, "+d+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1),\n                  getX(batch, xR, xC, "+d+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC),\n                  getX(batch, "+d+" + 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    "},Ra=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,c=t.strideWidth,l=t.dilationHeight,f=t.dilationWidth,d=t.filterHeight,h=t.filterWidth,p=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+", "+c+");\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 / "+p+";\n        int q = d2 - d1 * "+p+";\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 < "+d+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+f+";\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    "},Fa=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.packedInputs=!0,this.packedOutput=!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,l=t.dilationHeight,f=t.dilationWidth,d=t.filterHeight,h=t.filterWidth,p=h,m="int xR; int xC; int xCOffset;",g=0;g<d;g++)for(var v=0;v<h;v++)m+="\n          vec4 xTexelR"+g+"C"+2*v+" = vec4(0.);\n          vec4 wR"+g+"C"+v+" = vec4(0.);\n          vec4 xR"+g+"C"+v+" = vec4(0.);";for(g=0;g<d;g++)for(var y=0;y<p;y++){if(m+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(v=2*y)*f+";\n        ",1===c){if(v<h&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+v+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+v+" = 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\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+v+" = vec4(previous.zw, xTexelR"+g+"C"+v+".xy);\n                } else {\n                  xR"+g+"C"+v+" = vec4(0, 0, xTexelR"+g+"C"+v+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+i+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = xTexelR"+g+"C"+v+";\n              ",v+1<h)){var b=s%2==0?O(f):f;f%2==0&&s%2==1||f%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",f>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+i+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+v+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(v+1)+" = xTexelR"+g+"C"+(v+2)+";\n                "}}else v<h&&(m+="\n              if(xR >= 0 && xR < "+i+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n              ",v+1<h&&(m+="\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"+g+"C"+(v+1)+" = vec4(xTexelR"+g+"C"+(v+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".xy, xTexelR"+g+"C"+(v+2)+".xy);\n              ",v+1<h&&(m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n                ")),m+="}");v<h&&(m+="\n            vec4 wTexelR"+g+"C"+v+" = getW("+g+", "+v+", d1, q);\n            wR"+g+"C"+v+" = vec4(wTexelR"+g+"C"+v+".xz, wTexelR"+g+"C"+v+".xz);\n          ",v+1<h&&(m+="\n              vec4 wTexelR"+g+"C"+(v+1)+" = getW("+g+", "+(v+1)+", d1, q);\n              wR"+g+"C"+(v+1)+" =\n                vec4(wTexelR"+g+"C"+(v+1)+".xz, wTexelR"+g+"C"+(v+1)+".xz);"))}for(g=0;g<d;g++)for(v=0;v<h;v++)m+="dotProd += xR"+g+"C"+v+" * wR"+g+"C"+v+";";var x="",w="";n&&(x=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",w="result = activation(result);");var k=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\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        "+m+"\n\n        vec4 result = dotProd;\n        "+k+"\n        "+w+"\n        setOutput(result);\n      }\n    "};function ja(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 Pa=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}(),La=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    "},za=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}();function Ba(t,e){var n=ua();return ue(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 Ua(t,e){return ge(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 ve(t,e,new Uint16Array([0,1,2,2,1,3]))}function Va(t,e,n,r,i,a,o){be(n,r);var s=ye(t,e),u=t.TEXTURE_2D;return ne(t,e,function(){return t.bindTexture(u,s)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)}),ne(t,e,function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)}),ne(t,e,function(){return t.texImage2D(u,0,i,n,r,0,a,o,null)}),ne(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)}),s}function qa(t,e,n,r,i){var a=Zt(n,r);return Va(t,e,a[0],a[1],i.internalFormatFloat,i.textureFormatFloat,t.FLOAT)}function Ha(t,e,n,r,i){var a=Zt(n,r);return Va(t,e,a[0],a[1],i.internalFormatHalfFloat,i.textureFormatFloat,i.textureTypeHalfFloat)}function Ga(t,e,n,r,i){var a=Zt(n,r);return Va(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function $a(t,e,n,r,i){var a=te(n,r);return Va(t,e,a[0],a[1],i.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function Ka(t,e,n,r,i){var a=te(n,r);return Va(t,e,a[0],a[1],i.internalFormatPackedHalfFloat,t.RGBA,i.textureTypeHalfFloat)}function Xa(t,e,n,r){return ne(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),we(t,e,n,"clipSpacePos",r,3,20,0)&&we(t,e,n,"uv",r,2,20,12)}function Ya(t,e,n,r,i,a,o){var s,u,c;ne(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),a instanceof 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Qa(t,e,n){var r=t,i=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,i),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),i}function to(t,e,n,r,i){var a=Zt(n,r),o=a[0],s=a[1],u=new Uint8Array(n*r*4);return ne(t,e,function(){return t.readPixels(0,0,o,s,i.downloadTextureFormat,t.UNSIGNED_BYTE,u)}),new Float32Array(u.buffer)}function eo(t,e,n,r,i,a,o,s){var u=t,c=new Float32Array(function(t,e){var n=te(a,o);return n[0]*n[1]*4}());return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function no(t,e,n,r){var i=new Float32Array(n*r*4);return ne(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,i)}),i}var ro=Object.freeze({createVertexShader:Ba,createVertexBuffer:Ua,createIndexBuffer:Wa,createFloat32MatrixTexture:qa,createFloat16MatrixTexture:Ha,createUnsignedBytesMatrixTexture:Ga,createPackedMatrixTexture:$a,createFloat16PackedMatrixTexture:Ka,bindVertexProgramAttributeStreams:Xa,uploadDenseMatrixToTexture:Ya,uploadPixelDataToTexture:Ja,createBufferFromOutputTexture:Za,downloadFloat32MatrixFromBuffer:Qa,downloadByteEncodedFloatMatrixFromOutputTexture:to,downloadPackedMatrixFromBuffer:eo,downloadMatrixFromPackedOutputTexture:no}),io=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=f().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Yt(e,t)):this.gl=Jt(e);var n="WEBGL_color_buffer_float";if(1===f().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=se(this.gl,this.debug,"OES_texture_float"),Ue(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=se(this.gl,this.debug,"OES_texture_half_float");else if(f().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Ue(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=se(this.gl,this.debug,"EXT_color_buffer_half_float");else if(f().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Ue(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Ue(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=Ua(this.gl,this.debug),this.indexBuffer=Wa(this.gl,this.debug),this.framebuffer=xe(this.gl,this.debug),this.textureConfig=ee(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return f().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. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;ne(e,this.debug,function(){return e.finish()}),ne(e,this.debug,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),ne(e,this.debug,function(){return e.deleteFramebuffer(t.framebuffer)}),ne(e,this.debug,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),ne(e,this.debug,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),ne(e,this.debug,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),qa(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Ha(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Ga(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Ja(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),Ya(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Ka(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),$a(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Ce(this.gl,this.debug,this.framebuffer),this.outputTexture=null),ne(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 to(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,a){return eo(this.gl,t,0,0,0,i,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Qa(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Za(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(f().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 f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,f().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 no(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ce(e,this.debug,t),r=Ba(e,this.debug),i=he(e,this.debug);return ne(e,this.debug,function(){return e.attachShader(i,r)}),ne(e,this.debug,function(){return e.attachShader(i,n)}),pe(e,this.debug,i),this.debug&&me(e,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=Xa(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&&ne(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&&me(this.gl,this.debug,this.program),ne(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?_e(this.gl,this.debug,t,e):Ee(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),ne(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(),Oe(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=te(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&&me(this.gl,this.debug,this.program),Ae(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),ne(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),ne(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=se(this.gl,this.debug,2===f().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===f().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!==f().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 u(this,void 0,void 0,function(){var e=this;return c(this,function(n){switch(n.label){case 0:return[4,P(function(){return e.disposed||e.isQueryAvailable(t,f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,f().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&&t[e]();++e);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||P(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Se(this.gl,this.debug,t,this.framebuffer),this.debug&&Ae(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Se(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Ae(this.gl)):Ce(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;Se(r,this.debug,t,this.framebuffer),this.debug&&Ae(r),this.outputTexture=t,ne(r,this.debug,function(){return r.viewport(0,0,e,n)}),ne(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),ne(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 ao(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(!D(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(!D(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var oo=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.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",p="";a&&(h=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var m=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+h+"\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, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+d[0]+");\n          result += ("+f[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},so=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}(),uo=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,c=t.effectiveFilterWidth,l=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var d="avg"===e,h="0.0";if(d||(h="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+a+");\n        const ivec2 pads = ivec2("+l+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+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 < "+c+";\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 * "+c+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var p=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(p="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+d+") {\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("+l+", "+f+");\n      const float initializationValue = "+h+";\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("+h+");\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("+p+");\n      }\n    "}},co=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,c=t.dilationWidth,l=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,h=t.padInfo.front,p=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("+h+", "+p+", "+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 < "+l+";\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 < "+f+";\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 < "+d+";\n                  wC += "+c+") {\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 * "+f+" * "+d+" +\n                      wR * "+d+" + 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("+h+", "+p+", "+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 < "+l+";\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 < "+f+";\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 * "+c+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+c+", 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 + "+c+", 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 + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+y+");\n        }\n      }\n    "}},lo=function(t,e,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=ba(i.length),u=ba(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var d="getUpdates("+f+")",h=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("+l+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+d+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},fo=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=ba(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"],po=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=ba(this.rank),n=sa("coords",this.rank),r=sa("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(){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=go(e,n),a=vo(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===$t.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===$t.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===$t.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===$t.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===$t.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=vo(e,go(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 go(t,e){if(t===Gt.UPLOAD)return $t.PACKED_2X2_FLOAT32;if(t===Gt.RENDER||null==t)return function(t){return f().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?$t.PACKED_2X2_FLOAT32:$t.UNPACKED_FLOAT32:t?$t.PACKED_2X2_FLOAT16:$t.UNPACKED_FLOAT16}(e);if(t===Gt.DOWNLOAD||t===Gt.PIXELS)return $t.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function vo(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var yo=1.7580993408473768,bo=1.0507009873554805,xo=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    "},wo="if (isnan(x)) return x;",ko="return x;",_o="return abs(x);",Eo=wo+"\n  return (x < 0.0) ? 0.0 : x;\n",Oo=wo+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",So="return (x >= 0.0) ? x : (exp(x) - 1.0);",Co="return -x;",Ao="return ceil(x);",No="return floor(x);",To="return exp(x);",Io="return exp(x) - 1.0;",Do="return x;",Mo="return x;",Ro="\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",Fo="\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",jo="\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",Po=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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    "},Lo={};function zo(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Mo:ko;if("relu"===t)return e?Ro:Eo;if("elu"===t)return e?jo:So;if("relu6"===t)return e?Fo:Oo;if("prelu"===t)return e?Aa:Sa;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var Bo=600,Uo=function(t){function e(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!f().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var i=Jt(f().getNumber("WEBGL_VERSION"));r.binaryCache=(n=f().getNumber("WEBGL_VERSION"))in Lo?Lo[n]:(Lo[n]={},Lo[n]),r.gpgpu=new io(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new mo(r.gpgpu),r.numMBBeforeWarning=null==f().global.screen?1024:f().global.screen.height*f().global.screen.width*window.devicePixelRatio*Bo/1024/1024,r.texData=new ki(r,Wt),r}return s(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.write=function(t,e,n){if(f().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Gt.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(f().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Gt.UPLOAD})},e.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 Po(o,Do):new xo(o,Do);var c=this.runWebGLProgram(u,[{dataId:t,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var f,d,h=null!=this.activeTimers;return h&&(f=ot()),d="complex64"===r?qi(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),h&&(this.downloadWaitMs+=ot()-f),this.convertAndCacheOnCPU(t,d)},e.prototype.read=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o,s,u,l,d,h,p,m,g,v,y,b,x,w,k,_,E;return c(this,function(c){switch(c.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,i=n.shape,a=n.slice,o=n.dtype,s=n.complexTensors,u=n.isPacked,null!=a)return l=void 0,l=u?new Po(i,Do):new xo(i,Do),d=this.runWebGLProgram(l,[{dataId:t,shape:i,dtype:o}],o),h=this.read(d.dataId),this.disposeData(d.dataId),[2,h];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!f().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===f().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==o&&f().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(t),g=this.texData.get(m.dataId),p=(E=this.gpgpu).createBufferFromTexture.apply(E,[g.texture].concat(Qt(i)))),this.pendingRead.set(t,[]),"complex64"===o?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:c.sent(),c.label=2;case 2:return"complex64"!==o?[3,4]:[4,Promise.all([s.real.data(),s.imag.data()])];case 3:return y=c.sent(),b=y[0],x=y[1],v=qi(b,x),[3,5];case 4:null==p?v=this.getValuesFromTexture(t):(w=I(i),v=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),c.label=5;case 5:return null!=m&&this.disposeData(m.dataId),k=this.convertAndCacheOnCPU(t,v),_=this.pendingRead.get(t),this.pendingRead.delete(t),_.forEach(function(t){return t(k)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,k]}})})},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!ae(n)){if(f().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,a=n.isPacked,o=I(r);if(f().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(t),u=this.texData.get(s.dataId),c=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[u.texture].concat(Qt(r))).subarray(0,o);return this.disposeData(s.dataId),c}var l=f().getBool("WEBGL_PACK")&&!0===a,d=l?Re(r):r,h=l?new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Gt.DOWNLOAD;var e=ua();this.outputShape=t,this.userCode="\n      "+fa+"\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    "}(d):new function(t){this.variableNames=["A"],this.outTexUsage=Gt.DOWNLOAD;var e=ua();this.outputShape=t,this.userCode="\n      "+fa+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "}(d),p=this.runWebGLProgram(h,[{shape:d,dtype:i,dataId:t}],"float32"),m=this.texData.get(p.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(m.texture,m.texShape[0],m.texShape[1]).subarray(0,o);return this.disposeData(p.dataId),g},e.prototype.time=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o,s;return c(this,function(u){switch(u.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(),i=T(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),a=T(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(i)]:[3,2];case 1:return s=u.sent(),o.kernelMs=S(s),o.getExtraProfileInfo=function(){return s.map(function(t,e){return{name:a[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},[3,3];case 2:o.kernelMs={error:"WebGL query timers are not supported in this environment."},u.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:ot(),endMs:null}},e.prototype.endTimer=function(t){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=ot(),t)},e.prototype.getQueryTime=function(t){return u(this,void 0,void 0,function(){var e;return c(this,function(n){return f().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;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)}}},e.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,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return f().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Wt.findBackend("cpu")),this.cpuBackend):null},e.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})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Wt.keep(t.clone()),imag:Wt.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===I(n))return jn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,i=li(t.shape,e,n);if(r||!i){var a=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new po(n):new fo(n),o=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,o)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=this.makeOutput(n,t.dtype),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var o=fi(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},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var i=si(e,n,r);if(i.some(function(t){return 0===t}))return jn([],i);var a=new function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,i=ba(n.length),a=ba(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    "}(e,r,i);return this.compileAndRun(a,[t])},e.prototype.reverse=function(t,e){var n=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!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=sa("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=ba(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    "}(t.shape,e):new 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=ba(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      "}(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map(function(t){return Rn(t)}),r=t.map(function(t){return Fn(t)});return Mn(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>f().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(t.length/2),a=this.concat(t.slice(0,i),e),o=this.concat(t.slice(i),e);return this.concat([a,o],e)}if(f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var s=new function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=In(t,e);var n=this.outputShape,r=n.length,i=ba(r),a=sa("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 c=o[e],l=o.slice(-2),f=o.join(),d="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+f+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var h=s[u-1];d+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+Da(o,c,h)+"),\n            vec2("+Da(l,c,h)+"));\n        }"}var p=s.length,m=s[s.length-1];d+="\n        return getChannel(\n          getT"+p+"("+Da(o,c,m)+"),\n          vec2("+Da(l,c,m)+"));",this.userCode="\n      float getValue("+o.map(function(t){return"int "+t})+") {\n        "+d+"\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    "}(t.map(function(t){return t.shape}),e);return this.compileAndRun(s,t)}var u=In(t.map(function(t){return t.shape}),e),c=t.map(function(t){return t.as2D(-1,I(t.shape.slice(e)))}),l=new function(t){this.outputShape=[],this.outputShape=In(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    "}(c.map(function(t){return t.shape}));return this.compileAndRun(l,c).reshape(u)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Co,t.dtype);var e=new xo(t.shape,Co);return this.compileAndRun(e,[t])},e.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),c=1===a?2:1,l=1===a?e.as3D(s,1,o):e;return this.multiply(u,l).sum(c,!0)}var f=Mt(t.dtype,e.dtype),d=new oo(t.shape,[s,i,a],n,r);return this.compileAndRun(d,[t,e],f)},e.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],c=i?n.shape[1]:n.shape[2],l=e.shape[0],f=Mt(e.dtype,n.dtype),d=null!=a,h=null!=s,p=o?zo(o,!0):null,m=new oo(e.shape,[l,u,c],r,i,d,p,h),g=[e,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(m,g,f)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new ka("return areal * breal - aimag * bimag;",t.shape,e.shape),a=new ka("return areal * bimag + aimag * breal;",t.shape,e.shape),o=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],s=this.compileAndRun(i,o),u=this.compileAndRun(a,o),c=this.complex(s,u);return s.dispose(),u.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Oa,t.dtype);var l=new Ca(Oa,t.shape,e.shape);return this.compileAndRun(l,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,i,a){var o=[t,e,n],s=null;null!=a&&(s=a.shape,o.push(a));var u=null;if(null!=i&&(u=i.shape,o.push(i)),f().getBool("WEBGL_PACK_NORMALIZATION")){var c=new function(t,e,n,r,i,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Ci(t,e),Ci(t,n);var o="vec4(0.0)";null!=r&&(Ci(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(Ci(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    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(c,o)}var l=new function(t,e,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Ci(t,e),Ci(t,n);var o="0.0";null!=r&&(Ci(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(Ci(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    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,o)},e.prototype.localResponseNormalization4D=function(t,e,n,r,i){var a=f().getBool("WEBGL_PACK_NORMALIZATION")?new function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!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    "}(t.shape,e,n,r,i):new 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    "}(t.shape,e,n,r,i);return this.compileAndRun(a,[t])},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){var s=new 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    "}(e.shape,r,i,a,o);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map(function(t){return ct(t)});return ra(vr(t.shape,t.dtype,n),e)}var r=new 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=ba(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    "}(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=ba(r),a=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=sa("rc",r),u=sa("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",f=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\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("+c+") {"],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="",p=0,m=1===r?2:4;p<m;p++)h+="\n        "+f[p]+"\n        if ("+d+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";h+=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        "+h+"\n        setOutput(result);\n      }\n    "}(t.shape,e,n):new 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=ba(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      "}(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=f().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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=ba(this.rank),a=oa("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],c="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "}(t.shape,e):new 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=ba(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    "}(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=ba(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    "}(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){C(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=Gr(t.shape,e,r),a=$r(i.length,e.length),o=Kr(t.shape,e,r),s=Xr(n,e.length),u=Yr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){C(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=Gr(o.shape,e,r,!1),u=$r(s.length,e.length,!1),c=Kr(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(c)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],a=new 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 c=4*Math.floor(n/4),l=n%4,f="\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    ",d="vec4";"all"===e?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===e&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var h="";i%n>0&&(h="\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        "+h+"\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 < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:ti(i),inSize:i,batchSize:r},e),o=this.compileAndRun(a,[t],n);return 1===o.shape[1]?o:this.reduce(o,e,n)},e.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=new function(t,e,n){this.variableNames=["A"];var r=t.windowSize,i=t.batchSize,a=t.inSize,o=Math.ceil(a/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:ti(i),inSize:i,batchSize:r},e,null==n),o=[t];null!=n&&o.push(n);var s=this.compileAndRun(a,o,"int32");return 1===s.shape[1]?s:this.argReduce(t,e,s)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=new function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,C(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,c=u.length,l=ba(c),f=sa("coords",c);if(1===a){var d=ba(s=c+1);o="\n        "+d+" sourceLocR = "+d+"("+f.join()+", 0);\n        ++"+f[c-1]+";\n        "+d+" sourceLocG = "+d+"("+f.join()+", 0);\n        ++"+f[c-2]+";\n        "+d+" sourceLocA = "+d+"("+f.join()+", 0);\n        --"+f[c-1]+";\n        "+d+" sourceLocB = "+d+"("+f.join()+", 0);\n        --"+f[c-2]+";"}else s=c,o="\n        "+l+" sourceLocR = coords;\n        ++"+f[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+f[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+f[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+f[c-2]+";";var h=["x","y","z","w","u","v"].slice(0,s),p="."+h[s-1],m=h.map(function(t){return"int "+t}),g=sa("sourceLocR",s-1).concat("inIdx.r"),v=sa("sourceLocG",s-1).concat("inIdx.g"),y=sa("sourceLocB",s-1).concat("inIdx.b"),b=sa("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",_=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+h.join()+"),\n                                          vec2("+h.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+h.join()+"),\n                               vec2("+h.slice(-2).join()+"));\n      }\n      "+_+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+f[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+f[c-2]+" < "+(u[c-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "}(r,ti(r[r.length-1]),e,null==n),a=null==n?[t]:[t,n],o=this.compileAndRun(i,a,"int32");return o.rank===t.rank?this.argReducePacked(t,e,o):o},e.prototype.sum=function(t,e){Sn("sum",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i),o=Rt(t.dtype);return this.reduce(a,"sum",o).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i),o=Rt(t.dtype);return this.reduce(a,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=Cn([r],t.rank),a=t;null!=i&&(a=t.transpose(i),r=Nn(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=I([a.shape[r]]),u=a.as2D(-1,s),c=Rt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(o);return null!=i&&(l=l.transpose(An(i))),l},e.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<=Qr?(n=t,r=!0):n=tt(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=tt(t,n+1);return n}(o,i),u=new 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,c="\n        sumValue += dot(values, segFilter);\n    ",l="";i%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var f="";i%n>0&&(f="\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        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+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          "+c+"\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          "+c+"\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          "+c+"\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          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:a,numSegments:i},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===i?c:(n=Yn(0,i).tile([o/s]),this.segOpCompute(c,e,n,r,i))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Sn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!f().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var i=En(t.shape,r),a=i[0],o=I(i[1]),s=t.as2D(-1,o);return this.argReduce(s,n).reshape(a)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.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 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        "+ba(r)+" coords = getOutputCoords();\n        int end = "+ja(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          "+ja(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    "}(t.shape,n,r);return this.compileAndRun(i,[t])},e.prototype.equal=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ca("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ca("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ca("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ca("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ca("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ca("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new xo(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(f().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 Ca("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(f().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 Ca("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new 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 c=ba(n);this.userCode="\n      void main() {\n        "+c+" 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    "}(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Mt(e.dtype,n.dtype))},e.prototype.where=function(t){vn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return aa(t.shape,e)},e.prototype.topk=function(t,e,n){return ia(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Sn("min",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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 Ca("\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])},e.prototype.mod=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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 Ca("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Sn("max",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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 Ca("\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])},e.prototype.all=function(t,e){Sn("all",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){Sn("any",e,t.rank);var n=En(t.shape,e),r=n[0],i=I(n[1]),a=t.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.realDivide=function(t,e){if(f().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 Ca("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return this.compileAndRun(n,[t,e],"float32")},e.prototype.floorDiv=function(t,e){if(f().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 Ca("\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);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,_a);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Mt(t.dtype,e.dtype);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,_a,n);var r=new Ca(_a,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new Po(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,i){void 0===i&&(i=!1);var a=new Na(n,t.shape,e.shape,i);return this.compileAndRun(a,[t,e],r)},e.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.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,o),c=new Ca(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],Mt(a.dtype,o.dtype))}),s=o[0],u=o[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>f().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}),o=f().getBool("WEBGL_PACK")?new function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,a):new function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,a);return this.compileAndRun(o,t,i)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ea);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Mt(t.dtype,e.dtype);if(f().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ea,t.dtype);var r=new Ca(Ea,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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 Ca("\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),r=Mt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ao,t.dtype);var e=new xo(t.shape,Ao);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,No,t.dtype);var e=new xo(t.shape,No);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new xo(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new xo(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new xo(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new xo(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new xo(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])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,To,t.dtype);var e=new xo(t.shape,To);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Io,t.dtype);var e=new xo(t.shape,Io);return this.compileAndRun(e,[t])},e.prototype.softmax=function(t,e){var n=z([e],t.shape),r=this.max(t,n),i=On(r.shape,n),a=this.subtract(t,r.reshape(i)),o=this.exp(a),s=this.sum(o,n).reshape(i);return this.realDivide(o,s)},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(f().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 xo(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new xo(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new xo(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new xo(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new xo(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=f().getBool("WEBGL_PACK")?new Po(t.shape,Ro):new xo(t.shape,Eo),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=f().getBool("WEBGL_PACK")?new Po(t.shape,Fo):new xo(t.shape,Oo),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na(Aa,t.shape,e.shape):new Ca(Sa,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,jo,t.dtype);var e=new xo(t.shape,So);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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 Ca("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new xo(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])},e.prototype.int=function(t){var e=new xo(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,i=(r=f().getBool("WEBGL_PACK_CLIP")?new Ia(t.shape):new Ta(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(f().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,_o,t.dtype);var e=new xo(t.shape,_o);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new 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    "}(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new xo(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new xo(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])},e.prototype.sin=function(t){var e=new xo(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new xo(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new xo(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new xo(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])},e.prototype.acos=function(t){var e=new xo(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])},e.prototype.atan=function(t){var e=new xo(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=f().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Na("\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. ? 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 Ca("\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])},e.prototype.sinh=function(t){var e=new xo(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new xo(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new xo(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])},e.prototype.asinh=function(t){var e=new xo(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new xo(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])},e.prototype.atanh=function(t){var e=new xo(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])},e.prototype.erf=function(t){var e=new xo(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])},e.prototype.step=function(t,e){var n=new xo(t.shape,function(t){return void 0===t&&(t=0),wo+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,i,a){var o=t.shape,s=this.texData.get(t.dataId),u=n.inChannels,c=o[0]*o[1]*o[2],l=n.outChannels,d="channelsLast"===n.dataFormat,h=(1===c||1===l)&&u>1e3,p=o[2]%2!=0&&!!s.isPacked;if(h||!f().getBool("WEBGL_LAZILY_UNPACK")||!f().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var m=d?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],g=this.reshape(t,[1,m,n.inChannels]),v=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:v,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),n.outShape)}var y=d?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),b={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},x=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,C(Pe(s.shape,b.shape),function(){return"packed reshape "+s.shape+" to "+b.shape+" isn't free"});var w=this.reshape(e,[1,n.inChannels,n.outChannels]),k=this.fusedBatchMatMul({a:b,b:w,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),_=this.texData.get(k.dataId);return C(_.isPacked,function(){return"batchMatMul result is expected to be packed"}),s.shape=x,_.shape=n.outShape,Wt.makeTensorFromDataId(k.dataId,n.outShape,k.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,i,a){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,f="channelsLast"===n.dataFormat,d=o*s*u,h=l*c,p=[d,h],m=t.squeeze([0]),g=e.reshape([1,d,-1]),v=new function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,f=n.dataFormat,d=s.left,h=s.top,p=i*r,m=ua(),g="channelsLast"===f,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+" - "+h+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+d+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+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    "}(p,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,p[0],p[1]]),b=null!=r,x=null!=a,w=i?zo(i,!0):null,k=new oo(y.shape,[1,h,n.outChannels],!0,!1,b,w,x),_=[y,g];r&&_.push(r),x&&_.push(a);var E=this.compileAndRun(k,_);return f?E.reshape([1,l,c,n.outChannels]):E.reshape([1,n.outChannels,l,c])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,i=t.bias,a=t.activation,o=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,o);if(f().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,i,a,o);var s=null!=i,u=null!=o,c=a?zo(a,!1):null,l=new Ma(r,s,c,u),d=[e,n];return i&&d.push(i),o&&d.push(o),this.compileAndRun(l,d)},e.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(f().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Ma(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new 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,c=a?2:3,l=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["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,i=t.convInfo,a=t.bias,o=t.activation,s=t.preluActivationWeights,u=f().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels==1,c=o?zo(o,u):null,l=[n,r],d=null!=a,h=null!=s;return d&&l.push(a),h&&l.push(s),u?(e=new Fa(i,d,c,h),this.compileAndRun(e,l)):(e=new Ra(i,d,c,h),this.compileAndRun(e,l))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return f().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Fa(n),this.compileAndRun(r,[t,e])):(r=new Ra(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new 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,c=t.dilationWidth,l=t.filterDepth,f=t.filterHeight,d=t.filterWidth,h=4*Math.floor(t.inChannels/4),p=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 < "+l+"; 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 < "+f+"; 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 < "+d+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+h+"; 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===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+h+") *\n                  getW(wF, wR, wC, "+h+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1),\n                  getX(batch, xF, xR, xC, "+h+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2),\n                  getW(wF, wR, wC, "+h+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new 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,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new 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    "}(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new uo(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new uo(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var i=new uo(r,"max",!0),a=this.compileAndRun(i,[e]),o=new 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    "}(r),s=this.compileAndRun(o,[t,a],e.dtype);return a.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new 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,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,f=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+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    "}(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return Bi(t,e,this)},e.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},e.prototype.avgPool3d=function(t,e){var n=new co(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new 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,c=t.dilationWidth,l=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,h=l-1-t.padInfo.front,p=f-1-t.padInfo.top,m=d-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+h+", "+p+", "+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 < "+l+";\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 < "+f+";\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 < "+d+";\n                wC += "+c+") {\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    "}(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new co(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var i=new co(r,"max",!0),a=this.compileAndRun(i,[e]),o=new 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,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,f=u-1-t.padInfo.top,d=c-1-t.padInfo.left,h=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+f+", "+d+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+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 < "+c+";\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 = "+h+" -\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+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.compileAndRun(o,[t,a],e.dtype);return a.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!Pe(t.shape,e)&&(null===n.texture||!Pe(n.shape,e))){var r=this.packedReshape(t,e);return Wt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Ui(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var i=f().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[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    "}(t.shape,e,n,r):new 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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[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    "}(t.shape,e,n,r);return this.compileAndRun(i,[t],"float32")},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new 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],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\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    "}(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new 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],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[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 + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(t.shape,e,n,r);return this.compileAndRun(i,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new 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],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\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("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[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    "}(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var i=e?t:xi(t),a=i.shape[0],o=i.shape[1],s=new so(a,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var i=new 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    "}(t.size,e,n,r);return this.compileAndRun(i,[t])},e.prototype.diag=function(t){var e=new 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    "}(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return vn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Yi(t.dataSync(),e.dataSync(),n,r,i)},e.prototype.cropAndResize=function(t,e,n,r,i,a){var o=new 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],c=e[0],l=n[0],f=n[1];this.outputShape=[c,l,f,u];var d="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],p=h[0],m=h[1],g=l>1?[""+(o-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],v=g[0],y=g[1],b=g[2],x=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],k=x[1],_=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 = "+k+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+_+";\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("+d+" == 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    "}(t.shape,e.shape,r,i,a);return this.compileAndRun(o,[t,e,n],"float32")},e.prototype.depthToSpace=function(t,e,n){C(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],o="NHWC"===n?t.shape[3]:t.shape[1],s=i*e,u=a*e,c=o/(e*e),l=new Pa("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},e.prototype.split=function(t,e,n){return na(t,e,n)},e.prototype.scatterND=function(t,e,n){var r=ri(0,t,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/o,o],l=t.reshape([a,i]),f=e.reshape([a,o]);if(0===u)return Ui(jn([]),n);var d=Ln(0),h=new lo(a,i,l.rank,f.rank,s,c);return this.compileAndRun(h,[f,l,d]).reshape(n)},e.prototype.sparseToDense=function(t,e,n,r){var i=ri(0,t,n),a=i.sliceRank,o=i.numUpdates,s=i.strides,u=i.outputSize,c=new lo(o,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},e.prototype.fft=function(t){return this.fftImpl(t,!1)},e.prototype.ifft=function(t){return this.fftImpl(t,!0)},e.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new La("return real * expR - imag * expI;",t.shape,e),i=new La("return real * expI + imag * expR;",t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],o=this.compileAndRun(r,a),s=this.compileAndRun(i,a),u=this.complex(o,s).as2D(t.shape[0],t.shape[1]);return o.dispose(),s.dispose(),u},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Jr(t,e),a=i[0],o=i[1],s=i[2],u=i[3],c=e.reshape([o,r]),l=t.reshape([t.size/s,s]),f=new function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=ba(e.length),i=ba(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      "}(r,u,[o,s]);return this.compileAndRun(f,[l,c]).reshape(a)},e.prototype.fill=function(t,e,n){if("string"===(n=n||Z(e))){var r=W(n,I(t));return r.fill(e),Wt.makeTensor(r,t,n,this)}var i=new za(t,e),a=i.getCustomSetupFunc(e);return this.compileAndRun(i,[],n,a)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},e.prototype.linspace=function(t,e,n){return Wi(t,e,n)},e.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},e.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Wt.makeTensorFromDataId(n,t,e,this)},e.prototype.unpackTensor=function(t){var e=new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=sa("rc",e),r=ba(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    "}(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},e.prototype.packTensor=function(t){var e=new function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,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=sa("rc",e),r=ba(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      "}}(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},e.prototype.packedReshape=function(t,e){var n=[De(t.shape)].concat(Me(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},i=new function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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      "+ca(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+la(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    "}([De(e)].concat(Me(e)),n),a=this.runWebGLProgram(i,[r],t.dtype,null,!0);return{dataId:a.dataId,shape:e,dtype:a.dtype}},e.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,i=n.shape,a=n.dtype,o=Re(i);return e=r?new function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Ht.DENSE;var e=Qt(t),n=ua();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ca(["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    "}(o):new function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Ht.DENSE;var e=Qt(t),n=ua();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ca(["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    "}(o),{dtype:a,shape:i,dataId:this.runWebGLProgram(e,[{shape:o,dtype:a,dataId:t}],a,null,!0).dataId}},e.prototype.runWebGLProgram=function(t,e,n,r,i){var a=this;void 0===i&&(i=!1);var o=this.makeTensorInfo(t.outputShape,n),s=this.texData.get(o.dataId);if(t.packedOutput&&(s.isPacked=!0),t.outPackingScheme===Ht.DENSE){var u=Qt(t.outputShape);s.texShape=u.map(function(t){return 2*t})}if(null!=t.outTexUsage&&(s.usage=t.outTexUsage),0===I(o.shape))return s.values=U(o.dtype,0),o;var c=[],l=e.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&I(e.shape)<=f().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.packedInputs&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.packedInputs)e=n.isPacked?a.unpackTensor(e):a.packTensor(e),c.push(e),n=a.texData.get(e.dataId);else if(n.isPacked&&!Pe(n.shape,e.shape)){var r=e,i=e.shape;e.shape=n.shape,e=a.packedReshape(e,i),c.push(e),n=a.texData.get(e.dataId),r.shape=i}return a.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(o.dataId);var d,h={shape:o.shape,texData:s,isUniform:!1},p=function(t,e,n){var r="";l.concat(n).forEach(function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e});var i=t.userCode;return t.constructor.name+"_"+r+"_"+i}(t,0,h),m=this.getAndSaveBinary(p,function(){return function(t,e,n,r){var i=e.userCode,a=n.map(function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),o=a.map(function(t){return t.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=da(a,s,i,e.packedInputs),c=t.createProgram(u),l=null,d=t.getUniformLocation(c,"NAN",!1);1===f().getNumber("WEBGL_VERSION")&&(l=t.getUniformLocation(c,"INFINITY",!1));for(var h={},p=0;p<e.variableNames.length;p++){var m=e.variableNames[p];h[m]=t.getUniformLocation(c,m,!1),h["offset"+m]=t.getUniformLocation(c,"offset"+m,!1)}return{program:e,source:u,webGLProgram:c,uniformLocations:h,inShapeInfos:o,outShapeInfo:s,infLoc:l,nanLoc:d}}(a.gpgpu,t,l,h)}),g=null!=this.activeTimers;if(g&&(d=this.startTimer()),function(t,e,n,r,i){ao(e.inShapeInfos,n),ao([e.outShapeInfo],[r]);var a=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(a,o[0],o[1]):t.setOutputMatrixTexture(a,o[0],o[1]),t.setProgram(e.webGLProgram),1===f().getNumber("WEBGL_VERSION")&&null!==e.infLoc&&t.gl.uniform1f(e.infLoc,1/0),null!==e.nanLoc&&t.gl.uniform1f(e.nanLoc,NaN),n.forEach(function(n,r){var i=e.program.variableNames[r],a=e.uniformLocations[i],o=e.uniformLocations["offset"+i];if(null!=a)if(n.isUniform)if(I(n.shape)<2)t.gl.uniform1f(a,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(a,s)}else null!=n.texData.slice&&null!=o&&t.gl.uniform1i(o,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,a,r)}),null!=i&&i(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,m,l,h,r),c.forEach(function(t){return a.disposeData(t.dataId)}),g&&(d=this.endTimer(d),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(d)})),!f().getBool("WEBGL_LAZILY_UNPACK")&&s.isPacked&&!1===i){var v=this.unpackTensor(o);return this.disposeData(o.dataId),v}return o},e.prototype.compileAndRun=function(t,e,n,r,i){void 0===i&&(i=!1),n=n||e[0].dtype;var a=this.runWebGLProgram(t,e,n,r,i);return Wt.makeTensorFromDataId(a.dataId,a.shape,a.dtype)},e.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){var t=this;this.disposed||(f().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(function(e){t.gpgpu.deleteProgram(t.binaryCache[e].webGLProgram),delete t.binaryCache[e]}),this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)},e.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=rn(function(){if(!f().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=f().getBool("DEBUG");f().set("DEBUG",!1);var n=t.abs(Ln(1e-8)).dataSync()[0];if(f().set("DEBUG",e),n>0)return 32}return 16})),this.floatPrecisionValue},e.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},e.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,a=n.values,o=n.texture,s=n.usage,u=n.isPacked;if(null==o){var c,l=null!=this.activeTimers;l&&(c=ot());var f=n.texShape;if(null==f&&(f=Fe(r,u),n.texShape=f),null!=a){var d=Re(r),h=void 0,p=f[1],m=f[0],g=a instanceof Uint8Array;u?(p=(e=te(f[0],f[1]))[0],h=new function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=ua(),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 c=0;c<=1;c++){var l=2*u+c;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\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 = 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Got stride "+n+" and dilation '"+a+"'"}),C("NWC"===i,function(){return"Error in conv1d: got dataFormat of "+i+" but only NWC is currently supported."});var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=c.as4D(c.shape[0],1,c.shape[1],c.shape[2]),h=Mu(d,f,[1,n],r,"NHWC",[1,a],o);return l?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),Mu=Dn({conv2d_:function(t,e,n,r,i,a,o){void 0===i&&(i="NHWC"),void 0===a&&(a=[1,1]);var s=xn(t,"x","conv2d"),u=xn(e,"filter","conv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),C(4===c.rank,function(){return"Error in conv2d: input must be rank 4, but got rank "+c.rank+"."}),C(4===u.rank,function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."}),null!=o&&C(M(r),function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var f="NHWC"===i?c.shape[3]:c.shape[1];C(f===u.shape[2],function(){return"Error in conv2d: depth of input ("+f+") must match input depth for filter "+u.shape[2]+"."}),C(Li(n,a),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"});var d=zi(i),h=Ti(c.shape,u.shape,n,a,r,o,!1,d),p=[u,c],m=Wt.runKernelFunc(function(t,e){var n=t.conv2d(c,u,h);return e([u,c]),n},{x:c,filter:u},function(t,e){var o=e,s=o[0],u=o[1];return C(Pi(a),function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+a+"'"}),{x:function(){return ju(u.shape,t,s,n,r,i)},filter:function(){return Fu(u,t,s.shape,n,r,i)}}},"Conv2D",h,p);return l?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Ru=Dn({conv3d_:function(t,e,n,r,i,a){void 0===i&&(i="NDHWC"),void 0===a&&(a=[1,1,1]);var o=xn(t,"x","conv3d"),s=xn(e,"filter","conv3d"),u=o,c=!1;4===o.rank&&(c=!0,u=o.as5D(1,o.shape[0],o.shape[1],o.shape[2],o.shape[3])),C(5===u.rank,function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."}),C(5===s.rank,function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."}),C(u.shape[4]===s.shape[3],function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."}),C(function(t,e){return Tu(n)||Tu(e)}(0,a),function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"}),C("NDHWC"===i,function(){return"Error in conv3d: got dataFormat of "+i+" but only NDHWC is currently supported."});var l=Ii(u.shape,s.shape,n,a,r),f=Wt.runKernelFunc(function(t,e){var n=t.conv3d(u,s,l);return e([u,s]),n},{x:u,$filter:s},function(t,e){C(Tu(a),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+a+"'"});var i=e[0],o=e[1];return{x:function(){return Iu(i.shape,t,o,n,r)},$filter:function(){return function(t,e,n,r,i){var a=t;4===t.rank&&(a=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var o=e;4===o.rank&&(o=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3])),C(5===a.rank,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+a.shape+"."}),C(5===o.rank,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+o.shape+"."}),C(5===n.length,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."}),C(a.shape[4]===n[3],function(){return"Error in conv3dDerFilter: depth of input "+a.shape[4]+") must match input depth in filter ("+n[3]+"."}),C(o.shape[4]===n[4],function(){return"Error in conv3dDerFilter: depth of dy ("+o.shape[4]+") must match output depth for filter ("+n[4]+")."});var s=Ii(a.shape,n,r,1,i);return Wt.runKernelFunc(function(t){return t.conv3dDerFilter(a,o,s)},{x5D:a,dy5D:o})}(i,t,o.shape,n,r)}}});return c?f.as4D(f.shape[1],f.shape[2],f.shape[3],f.shape[4]):f}}),Fu=Dn({conv2dDerFilter_:function(t,e,n,r,i,a,o){void 0===a&&(a="NHWC");var s=t;3===t.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var u=e;3===u.rank&&(u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),C(4===s.rank,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."}),C(4===u.rank,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."}),C(4===n.length,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."});var c="NHWC"===a?s.shape[3]:s.shape[1],l="NHWC"===a?u.shape[3]:u.shape[1];C(c===n[2],function(){return"Error in conv2dDerFilter: depth of input "+c+") must match input depth in filter ("+n[2]+"."}),C(l===n[3],function(){return"Error in conv2dDerFilter: depth of dy ("+l+") must match output depth for filter ("+n[3]+")."}),null!=o&&C(M(i),function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var f=zi(a),d=Ti(s.shape,n,r,1,i,o,!1,f);return Wt.runKernelFunc(function(t){return t.conv2dDerFilter(s,u,d)},{x4D:s,dy4D:u})}}),ju=Dn({conv2dDerInput_:Nu}),Pu=Dn({depthwiseConv2d_:function(t,e,n,r,i,a,o){void 0===i&&(i="NHWC"),void 0===a&&(a=[1,1]);var s=xn(t,"x","depthwiseConv2d"),u=xn(e,"filter","depthwiseConv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),C(4===c.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+c.rank+"."}),C(4===u.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}),C(c.shape[3]===u.shape[2],function(){return"Error in depthwiseConv2d: number of input channels ("+c.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."}),null==a&&(a=[1,1]),C(Li(n,a),function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"}),null!=o&&C(M(r),function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var f=Ti(c.shape,u.shape,n,a,r,o,!0),d=[c,u],h=Wt.runKernelFunc(function(t,e){var n=t.depthwiseConv2D(c,u,f);return e([c,u]),n},{x:c,filter:u},function(t,e){C(Pi(a),function(){return"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+a+"'"});var n=e[0],r=e[1];return{x:function(){return Lu(n.shape,t,r,f)},filter:function(){return zu(n,t,r.shape,f)}}},"DepthwiseConv2dNative",f,d);return l?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}}),Lu=Dn({depthwiseConv2dDerInput_:function(t,e,n,r){var i=e,a=!1;3===e.rank&&(a=!0,i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=Wt.runKernelFunc(function(t){return t.depthwiseConv2DDerInput(i,n,r)},{dy4D:i});return a?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}}),zu=Dn({depthwiseConv2dDerFilter_:function(t,e,n,r){var i=t;3===t.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var a=e;return 3===a.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),Wt.runKernelFunc(function(t){return t.depthwiseConv2DDerFilter(i,a,r)},{x4D:i,dy4D:a})}}),Bu=Dn({separableConv2d_:function(t,e,n,r,i,a,o){void 0===a&&(a=[1,1]),void 0===o&&(o="NHWC");var s=xn(t,"x","separableConv2d"),u=xn(e,"depthwiseFilter","separableConv2d"),c=xn(n,"pointwiseFilter","separableConv2d"),l=s,f=!1;if(3===s.rank&&(f=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");C(4===l.rank,function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."}),C(4===u.rank,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."}),C(4===c.rank,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."}),C(1===c.shape[0],function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."}),C(1===c.shape[1],function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."});var d=u.shape[2],h=u.shape[3];C(c.shape[2]===d*h,function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+d*h+", but got "+c.shape[2]+"."});var p=Pu(l,u,r,i,o,a),m=Mu(p,c,1,"valid",o);return f?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Uu=Dn({conv2dTranspose_:function(t,e,n,r,i,a){return Nu(n,xn(t,"x","conv2dTranspose"),xn(e,"filter","conv2dTranspose"),r,i,"NHWC",a)}}),Wu=Dn({conv3dTranspose_:function(t,e,n,r,i){return Iu(n,xn(t,"x","conv3dTranspose"),xn(e,"filter","conv3dTranspose"),r,i)}}),Vu=Dn({matMul_:function(t,e,n,r){var i;void 0===n&&(n=!1),void 0===r&&(r=!1);var a=xn(t,"a","matMul"),o=xn(e,"b","matMul");i=Ft(a,o),a=i[0],o=i[1];var s=n?a.shape[a.rank-2]:a.shape[a.rank-1],u=r?o.shape[o.rank-1]:o.shape[o.rank-2],c=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?o.shape[o.rank-2]:o.shape[o.rank-1],f=a.shape.slice(0,-2),d=o.shape.slice(0,-2),h=I(f),p=I(d);C(a.rank>=2&&o.rank>=2&&a.rank===o.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+o.rank+"."}),C(D(f,d),function(){return"Error in matMul: outer dimensions ("+f+") and ("+d+") of Tensors with shapes "+a.shape+" and "+o.shape+" must match."}),C(s===u,function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+a.shape+" and "+o.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var m=a.shape.slice(0,-2).concat([c,l]),g=n?a.as3D(h,s,c):a.as3D(h,c,s),v=r?o.as3D(p,l,u):o.as3D(p,u,l),y={transposeA:n,transposeB:r};return Wt.runKernelFunc(function(t,e){var i=t.batchMatMul(g,v,n,r);return e([g,v]),i},{a:g,b:v},function(t,e){var i=e,a=i[0],o=i[1];return n||r?!n&&r?{a:function(){return t.matMul(o,!1,!1)},b:function(){return t.matMul(a,!0,!1)}}:n&&!r?{a:function(){return o.matMul(t,!1,!0)},b:function(){return a.matMul(t,!1,!1)}}:{a:function(){return o.matMul(t,!0,!0)},b:function(){return t.matMul(a,!0,!0)}}:{a:function(){return t.matMul(o,!1,!0)},b:function(){return a.matMul(t,!0,!1)}}},"BatchMatMul",y).reshape(m)}}),qu=Dn({dot_:function(t,e){var n=xn(t,"t1","dot"),r=xn(e,"t2","dot");C(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."});var i=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return C(i===a,function(){return"Error in dot: inner dimensions of inputs must match, but got "+i+" and "+a+"."}),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Hu=Dn({outerProduct_:function(t,e){var n=xn(t,"v1","outerProduct"),r=xn(e,"v2","outerProduct");return C(1===n.rank&&1===r.rank,function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}),n.as2D(-1,1).matMul(r.as2D(1,-1))}}),Gu=Dn({reverse_:function(t,e){var n=xn(t,"x","reverse");if(0===n.rank)return n.clone();var r=z(e,n.shape);return Wt.runKernelFunc(function(t){return t.reverse(n,r)},{$x:n},function(t){return{$x:function(){return t.reverse(r)}}}).reshapeAs(n)}}),$u=Dn({reverse1d_:function(t){var e=xn(t,"x","reverse");return C(1===e.rank,function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."}),Gu(e,0)}}),Ku=Dn({reverse2d_:function(t,e){var n=xn(t,"x","reverse");return C(2===n.rank,function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."}),Gu(n,e)}}),Xu=Dn({reverse3d_:function(t,e){var n=xn(t,"x","reverse");return C(3===n.rank,function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."}),Gu(n,e)}}),Yu=Dn({reverse4d_:function(t,e){var n=xn(t,"x","reverse");return C(4===n.rank,function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."}),Gu(n,e)}});function Ju(t,e,n,r,i,a){var o=xn(t,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),null==r&&(r=[1,1]),C(4===s.rank,function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."}),C(Li(n,r),function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}),null!=a&&C(M(i),function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+i+"."});var c=Ai(s.shape,e,n,r,i,a);if(1===c.filterWidth&&1===c.filterHeight&&D(c.inShape,c.outShape))return o.clone();var l=[s],f=Wt.runKernelFunc(function(t,e){var n=t.maxPool(s,c);return e([s,n]),n},{x:s},function(t,a){var o=a[0],s=a[1];return{x:function(){return function(t,e,n,r,i,a,o,s){var u=xn(t,"dy","maxPoolBackprop"),c=xn(e,"input","maxPoolBackprop"),l=xn(n,"output","maxPoolBackprop");C(c.rank===u.rank,function(){return"Rank of input ("+c.rank+") does not match rank of dy ("+u.rank+")"}),null==a&&(a=[1,1]),C(Li(i,a),function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'"}),C(4===u.rank,function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."}),C(4===c.rank,function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+c.rank+"."});var f=Ai(c.shape,r,i,a,o,s);return Wt.runKernelFunc(function(t){return t.maxPoolBackprop(u,c,l,f)},{$dy:u,$input:c})}(t,o,s,e,n,r,i)}}},"MaxPool",c,l);return u?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}function Zu(t,e,n,r,i,a){var o=xn(t,"x","avgPool","float32");null==r&&(r=[1,1]),C(Li(n,r),function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"});var s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),C(4===s.rank,function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."}),null!=a&&C(M(i),function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+i+"."});var c=Ai(s.shape,e,n,r,i,a);if(1===c.filterWidth&&1===c.filterHeight&&D(c.inShape,c.outShape))return o.clone();var l=Wt.runKernelFunc(function(t){return t.avgPool(s,c)},{x:s},function(t){return{x:function(){return function(t,e,n,r,i,a){var o=xn(t,"dy","avgPoolBackprop"),s=xn(e,"input","avgPoolBackprop");C(s.rank===o.rank,function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+o.rank+")"}),null==i&&(i=[1,1]),C(Li(r,i),function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. 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Expected "+o+", but was "+e.shape[0]}),C(0<=a&&a<=1,function(){return"softNmsSigma must be in [0, 1], but was '"+a+"'"}),{maxOutputSize:n,iouThreshold:r,scoreThreshold:i,softNmsSigma:a}}var ml=Dn({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=xn(t,"images","resizeBilinear");C(3===r.rank||4===r.rank,function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."}),C(2===e.length,function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."});var i=r,a=!1;3===r.rank&&(a=!0,i=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=Wt.runKernelFunc(function(t,e){return e([i]),t.resizeBilinear(i,o,s,n)},{x:i},function(t,e){return{x:function(){return Wt.runKernelFunc(function(r){return r.resizeBilinearBackprop(t,e[0],n)},{})}}},"ResizeBilinear",{alignCorners:n,newHeight:o,newWidth:s});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),gl=Dn({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=xn(t,"images","resizeNearestNeighbor");C(3===r.rank||4===r.rank,function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."}),C(2===e.length,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."}),C("float32"===r.dtype||"int32"===r.dtype,function(){return"`images` must have `int32` or `float32` as dtype"});var i=r,a=!1;3===r.rank&&(a=!0,i=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=Wt.runKernelFunc(function(t,e){return e([i]),t.resizeNearestNeighbor(i,o,s,n)},{batchImages:i},function(t,e){return{batchImages:function(){return Wt.runKernelFunc(function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),vl=Dn({nonMaxSuppression_:function(t,e,n,r,i){void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY);var a=xn(t,"boxes","nonMaxSuppression"),o=xn(e,"scores","nonMaxSuppression"),s=pl(a,o,n,r,i);n=s.maxOutputSize,r=s.iouThreshold,i=s.scoreThreshold;var u={maxOutputSize:n,iouThreshold:r,scoreThreshold:i};return Wt.runKernelFunc(function(t){return t.nonMaxSuppression(a,o,n,r,i)},{boxes:a,scores:o},null,"NonMaxSuppressionV3",u)}}),yl=Dn({nonMaxSuppressionWithScore_:function(t,e,n,r,i,a){void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===a&&(a=0);var o=xn(t,"boxes","nonMaxSuppression"),s=xn(e,"scores","nonMaxSuppression"),u=pl(o,s,n,r,i,a),c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:i=u.scoreThreshold,softNmsSigma:a=u.softNmsSigma},l=Wt.runKernel("NonMaxSuppressionV5",{boxes:o,scores:s},c);return{selectedIndices:l[0],selectedScores:l[1]}}}),bl=Dn({cropAndResize_:function(t,e,n,r,i,a){var o=xn(t,"image","cropAndResize"),s=xn(e,"boxes","cropAndResize","float32"),u=xn(n,"boxInd","cropAndResize","int32");i=i||"bilinear",a=a||0;var c=s.shape[0];return C(4===o.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."}),C(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape "+s.shape+"."}),C(1===u.rank&&u.shape[0]===c,function(){return"Error in cropAndResize: boxInd must be have size ["+c+"] but had shape "+s.shape+"."}),C(2===r.length,function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."}),C(r[0]>=1&&r[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+r}),C("bilinear"===i||"nearest"===i,function(){return"method must be bilinear or nearest, but was "+i}),Wt.runKernelFunc(function(t,e){return t.cropAndResize(o,s,u,r,i,a)},{images:o,boxes:s,boxInd:u},null,"CropAndResize",{method:i,extrapolationValue:a,cropSize:r})}}),xl=Object.freeze({resizeBilinear:ml,resizeNearestNeighbor:gl,nonMaxSuppression:vl,nonMaxSuppressionAsync:function(t,e,n,r,i){return void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),u(this,void 0,void 0,function(){var a,o,s,u,l,f,d;return c(this,function(c){switch(c.label){case 0:return a=xn(t,"boxes","nonMaxSuppressionAsync"),o=xn(e,"scores","nonMaxSuppressionAsync"),s=pl(a,o,n,r,i),n=s.maxOutputSize,r=s.iouThreshold,i=s.scoreThreshold,[4,Promise.all([a.data(),o.data()])];case 1:return u=c.sent(),l=u[0],f=u[1],d=Yi(l,f,n,r,i),a!==t&&a.dispose(),o!==e&&o.dispose(),[2,d]}})})},nonMaxSuppressionWithScore:yl,nonMaxSuppressionWithScoreAsync:function(t,e,n,r,i,a){return void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===a&&(a=0),u(this,void 0,void 0,function(){var o,s,u,l,f,d,h;return c(this,function(c){switch(c.label){case 0:return o=xn(t,"boxes","nonMaxSuppressionAsync"),s=xn(e,"scores","nonMaxSuppressionAsync"),u=pl(o,s,n,r,i,a),n=u.maxOutputSize,r=u.iouThreshold,i=u.scoreThreshold,a=u.softNmsSigma,[4,Promise.all([o.data(),s.data()])];case 1:return l=c.sent(),f=l[0],d=l[1],h=Ji(f,d,n,r,i,a),o!==t&&o.dispose(),s!==e&&s.dispose(),[2,h]}})})},cropAndResize:bl}),wl=function(t,e){return!(t>0)||"linear"===e},kl=function(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return t.mul(e.step());throw new Error("Gradient for activation "+n+" has not been implemented yet.")},_l=function(t,e){var n=e,r=Si(t.shape,e.shape);return r.length>0&&(n=n.sum(r)),n.reshape(t.shape)},El=function(t,e,n){if("linear"===e)return t;if("relu"===e)return Ec(t);if("elu"===e)return wc(t);if("relu6"===e)return Oc(t);if("prelu"===e)return _c(t,n);throw new Error("Unknown fused activation "+e+".")},Ol=Dn({fusedMatMul_:function(t){var e,n=t.a,r=t.b,i=t.transposeA,a=void 0!==i&&i,o=t.transposeB,s=void 0!==o&&o,u=t.bias,c=t.activation,l=void 0===c?"linear":c,f=t.preluActivationWeights;if(!1===wl(Wt.state.gradientDepth,l)){var d=Vu(n,r,a,s);return null!=u&&(d=Hs(d,u)),El(d,l,f)}var h=xn(n,"a","fused matMul"),p=xn(r,"b","fused matMul");e=Ft(h,p),h=e[0],p=e[1];var m=a?h.shape[h.rank-2]:h.shape[h.rank-1],g=s?p.shape[p.rank-1]:p.shape[p.rank-2],v=a?h.shape[h.rank-1]:h.shape[h.rank-2],y=s?p.shape[p.rank-2]:p.shape[p.rank-1],b=h.shape.slice(0,-2),x=p.shape.slice(0,-2),w=I(b),k=I(x);C(h.rank>=2&&p.rank>=2&&h.rank===p.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+h.rank+" and "+p.rank+"."}),C(D(b,x),function(){return"Error in fused matMul: outer dimensions ("+b+") and ("+x+") of Tensors with shapes "+h.shape+" and "+p.shape+" must match."}),C(m===g,function(){return"Error in fused matMul: inner shapes ("+m+") and ("+g+") of Tensors with shapes "+h.shape+" and "+p.shape+" and transposeA="+a+" and transposeB="+s+" must match."});var _,E,O=h.shape.slice(0,-2).concat([v,y]),S=a?h.as3D(w,m,v):h.as3D(w,v,m),A=s?p.as3D(k,y,g):p.as3D(k,g,y);null!=u&&Ci(O,(_=Ft(_=xn(u,"bias","fused matMul"),h)[0]).shape),null!=f&&(E=xn(f,"prelu weights","fused matMul"));var N={a:S,b:A};null!=u&&(N.bias=_),null!=f&&(N.preluActivationWeights=E);var T=[S,A];return Wt.runKernelFunc(function(t,e){var n=t.fusedBatchMatMul({a:S,b:A,transposeA:a,transposeB:s,bias:_,activation:l,preluActivationWeights:E});return e([S,A,n]),n},N,function(t,e){var n=e[0],r=e[1],i=e[2],o=kl(t,i,l),c={};return null!=u&&(c={bias:function(){return _l(_,o)}}),a||s?!a&&s?Object.assign({a:function(){return o.matMul(r,!1,!1)},b:function(){return o.matMul(n,!0,!1)}},c):a&&!s?Object.assign({a:function(){return r.matMul(o,!1,!0)},b:function(){return n.matMul(o,!1,!1)}},c):Object.assign({a:function(){return r.matMul(o,!0,!0)},b:function(){return o.matMul(n,!0,!0)}},c):Object.assign({a:function(){return o.matMul(r,!1,!0)},b:function(){return n.matMul(o,!0,!1)}},c)},"_FusedMatMul",{transposeA:a,transposeB:s,activation:l},T,[!0]).reshape(O)}}),Sl=Dn({fusedConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,i=t.pad,a=t.dataFormat,o=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,f=t.activation,d=void 0===f?"linear":f,h=t.preluActivationWeights;if(d=d||"linear",!1===wl(Wt.state.gradientDepth,d)){var p=Mu(e,n,r,i,o,u,c);return null!=l&&(p=Hs(p,l)),El(p,d,h)}var m=xn(e,"x","conv2d"),g=xn(n,"filter","conv2d"),v=m,y=!1;3===m.rank&&(y=!0,v=m.as4D(1,m.shape[0],m.shape[1],m.shape[2])),C(4===v.rank,function(){return"Error in fused conv2d: input must be rank 4, but got rank "+v.rank+"."}),C(4===g.rank,function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+g.rank+"."}),null!=c&&C(M(i),function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+c+" but got pad "+i+"."}),C(v.shape[3]===g.shape[2],function(){return"Error in conv2d: depth of input ("+v.shape[3]+") must match input depth for filter "+g.shape[2]+"."}),C(Li(r,u),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),C("NHWC"===o,function(){return"Error in conv2d: got dataFormat of "+o+" but only NHWC is currently supported."});var b,x,w=Ti(v.shape,g.shape,r,u,i,c);null!=l&&(b=Ft(b=xn(l,"bias","fused conv2d"),m)[0],Ci(w.outShape,b.shape)),null!=h&&(x=xn(h,"prelu weights","fused conv2d"));var k={x:v,filter:g};null!=l&&(k.bias=b),null!=h&&(k.preluActivationWeights=x);var _=[g,v],E=Wt.runKernelFunc(function(t,e){var n=t.fusedConv2d({input:v,filter:g,convInfo:w,bias:b,activation:d,preluActivationWeights:x});return e([g,v,n]),n},k,function(t,e){var n=e,a=n[0],o=n[1],s=n[2],c=kl(t,s,d);C(Pi(u),function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"});var f={};return null!=l&&(f={bias:function(){return _l(b,c)}}),Object.assign({x:function(){return ju(o.shape,c,a,r,i)},filter:function(){return Fu(o,c,a.shape,r,i)}},f)},"FusedConv2D",{convInfo:w,activation:d},_,[!0]);return y?E.as3D(E.shape[1],E.shape[2],E.shape[3]):E}}),Cl=Dn({fusedDepthwiseConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,i=t.pad,a=t.dataFormat,o=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,f=t.activation,d=void 0===f?"linear":f,h=t.preluActivationWeights;if(!1===wl(Wt.state.gradientDepth,d)){var p=Pu(e,n,r,i,o,u,c);return null!=l&&(p=Hs(p,l)),El(p,d,h)}var m=xn(e,"x","depthwiseConv2d"),g=xn(n,"filter","depthwiseConv2d"),v=m,y=!1;3===m.rank&&(y=!0,v=m.as4D(1,m.shape[0],m.shape[1],m.shape[2])),C(4===v.rank,function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+v.rank+"."}),C(4===g.rank,function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+g.rank+"."}),C(v.shape[3]===g.shape[2],function(){return"Error in fused depthwiseConv2d: number of input channels ("+v.shape[3]+") must match the inChannels dimension in filter "+g.shape[2]+"."}),null==u&&(u=[1,1]),C(Li(r,u),function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),null!=c&&C(M(i),function(){return"Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode "+c+" but got pad "+i+"."});var b,x,w=Ti(v.shape,g.shape,r,u,i,c,!0);null!=l&&(b=Ft(b=xn(l,"bias","fused conv2d"),m)[0],Ci(w.outShape,b.shape)),null!=h&&(x=xn(h,"prelu weights","fused depthwiseConv2d"));var k={x:v,filter:g};null!=l&&(k.bias=b),null!=h&&(k.preluActivationWeights=x);var _=[g,v],E=Wt.runKernelFunc(function(t,e){var n=t.fusedDepthwiseConv2D({input:v,filter:g,convInfo:w,bias:b,activation:d,preluActivationWeights:x});return e([g,v,n]),n},k,function(t,e){C(Pi(u),function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. 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Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. 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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),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],f=l[0],d=l[1],h=l[2],p=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],m=p[0],g=p[1],v=p[2],y=a*o,b=vr([s,a,o],t.dtype),x=b.values,w=this.blockSize,k=0;k<s;k++)for(var _=0;_<a;_+=w)for(var E=0;E<o;E+=w)for(var O=0;O<i;O+=w)for(var S=Math.min(_+w,a),C=Math.min(E+w,o),A=Math.min(O+w,i),N=_;N<S;N++)for(var T=E;T<C;T++){for(var I=0,D=O;D<A;D++)I+=u[k*f+N*d+D*h]*c[D*m+T*g+k*v];x[k*y+(N*o+T)]+=I}return b.toTensor()},e.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=Il(this,u,o,s)),u},e.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})},e.prototype.realDivide=function(t,e){return Tl([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},e.prototype.floorDiv=function(t,e){return Tl([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},e.prototype.sum=function(t,e){Tl(t,"sum"),Sn("sum",e,t.rank);for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,Mt(t.dtype,"int32")),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=0,d=0;d<o;++d)f+=u[l+d];s[c]=f}return a},e.prototype.prod=function(t,e){Tl(t,"sum");for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,Mt(t.dtype,"int32")),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=1,d=0;d<o;++d)f*=u[l+d];s[c]=f}return a},e.prototype.unsortedSegmentSum=function(t,e,n){Tl(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=Ln(a,"int32"),s=du(o,e).asType("float32").mul(t).sum(0);r.push(s)}return Ur(r)},e.prototype.argMin=function(t,e){Tl(t,"argMin");var n=[e];Sn("argMin",n,t.rank);for(var r=En(t.shape,n),i=r[0],a=r[1],o=$n(i,"int32"),s=I(a),u=this.readSync(o.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var f=l*s,d=c[f],h=0,p=0;p<s;++p){var m=c[f+p];m<d&&(d=m,h=p)}u[l]=h}return o},e.prototype.argMax=function(t,e){Tl(t,"argMax");var n=[e];Sn("argMax",n,t.rank);for(var r=En(t.shape,n),i=r[0],a=r[1],o=$n(i,"int32"),s=I(a),u=this.readSync(o.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var f=l*s,d=c[f],h=0,p=0;p<s;++p){var m=c[f+p];m>d&&(d=m,h=p)}u[l]=h}return o},e.prototype.cumsum=function(t,e,n,r){if(Tl(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=$n(t.shape,i),o=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var f=0;f<u;f++){var d=c(l,f);if(0===f)o[d]=n?0:s[d];else{var h=c(l,f-1);o[d]=n?s[h]+o[h]:s[d]+o[h]}}return a},e.prototype.equal=function(t,e){return Tl([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},e.prototype.notEqual=function(t,e){return Tl([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},e.prototype.less=function(t,e){return Tl([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},e.prototype.lessEqual=function(t,e){return Tl([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},e.prototype.greater=function(t,e){return Tl([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},e.prototype.greaterEqual=function(t,e){return Tl([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},e.prototype.logicalNot=function(t){Tl(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},e.prototype.logicalAnd=function(t,e){return Tl([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},e.prototype.logicalOr=function(t,e){return Tl([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},e.prototype.select=function(t,e,n){Tl([t,e,n],"select");for(var r=this.readSync(t.dataId),i=this.readSync(e.dataId),a=this.readSync(n.dataId),o=$n(e.shape,Mt(e.dtype,n.dtype)),s=this.readSync(o.dataId),u=0,c=0===t.rank||t.rank>1||1===e.rank?1:I(e.shape.slice(1)),l=0;l<r.length;l++)for(var f=0;f<c;f++)1===r[l]?s[u++]=i[l]:s[u++]=a[l];return o},e.prototype.where=function(t){Tl([t],"where");var e=this.readSync(t.dataId);return aa(t.shape,e)},e.prototype.topk=function(t,e,n){return Tl(t,"topk"),ia(this.readSync(t.dataId),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Tl(t,"min"),Sn("min",e,t.rank);for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,t.dtype),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],d=0;d<o;++d){var h=u[l+d];h<f&&(f=h)}s[c]=f}return a},e.prototype.minimum=function(t,e){return Tl([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},e.prototype.mod=function(t,e){return Tl([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})},e.prototype.max=function(t,e){Tl(t,"max"),Sn("max",e,t.rank);for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,t.dtype),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],d=0;d<o;++d){var h=u[l+d];h>f&&(f=h)}s[c]=f}return a},e.prototype.maximum=function(t,e){return Tl([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},e.prototype.all=function(t,e){Tl(t,"all"),Sn("all",e,t.rank);for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,t.dtype),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],d=0;d<o;++d){var h=u[l+d];f=f&&h}s[c]=f}return a},e.prototype.any=function(t,e){Tl(t,"any"),Sn("any",e,t.rank);for(var n=En(t.shape,e),r=n[0],i=n[1],a=$n(r,t.dtype),o=I(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],d=0;d<o;++d){var h=u[l+d];f=f||h}s[c]=f}return a},e.prototype.squaredDifference=function(t,e){return Tl([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},e.prototype.ceil=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.floor=function(t){Tl(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.sign=function(t){Tl(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},e.prototype.isNaN=function(t){Tl(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isInf=function(t){Tl(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isFinite=function(t){Tl(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.round=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.exp=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.expm1=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.log=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.log1p=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.sqrt=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.rsqrt=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.reciprocal=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){Tl(t,"relu");for(var e=$n(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),i=0;i<r.length;++i)n[i]=Math.max(0,r[i]);return e},e.prototype.relu6=function(t){Tl(t,"relu");for(var e=$n(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},e.prototype.prelu=function(t,e){return Tl([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},e.prototype.elu=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Tl([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 this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.clip=function(t,e,n){Tl(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 this.makeOutput(r,t.shape,"float32")},e.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 this.makeOutput(e,t.shape,"float32")},e.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 this.makeOutput(e,t.shape,"float32")},e.prototype.int=function(t){Tl(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 this.makeOutput(e,t.shape,"int32")},e.prototype.sigmoid=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.softplus=function(t){Tl(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 this.makeOutput(n,t.shape,"float32")},e.prototype.sin=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.cos=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.tan=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Tl([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},e.prototype.sinh=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Tl(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=R(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Tl(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 this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Tl(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 this.makeOutput(n,t.shape,"float32")},e.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=Il(this,s,a,o)),s},e.prototype.conv2d=function(t,e,n){Tl([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,c="channelsLast"===n.dataFormat,l=vr(n.outShape,t.dtype),f=t.strides[0],d=c?t.strides[1]:t.strides[2],h=c?t.strides[2]:1,p=c?1:t.strides[1],m=l.strides[0],g=c?l.strides[1]:l.strides[2],v=c?l.strides[2]:1,y=c?1:l.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=l.values,k=0;k<n.batchSize;++k)for(var _=k*f,E=k*m,O=0;O<n.outHeight;++O)for(var S=E+O*g,C=O*n.strideHeight-u,A=0;A<r;A++){var N=C+A*a;if(!(N<0||N>=n.inHeight))for(var T=A*e.strides[0],I=_+N*d,D=0;D<n.outWidth;++D)for(var M=S+D*v,R=D*n.strideWidth-s,F=0;F<i;F++){var j=R+F*o;if(!(j<0||j>=n.inWidth))for(var P=I+j*h,L=T+F*e.strides[1],z=0;z<n.inChannels;++z){for(var B=b[P+z*p],U=0;U<n.outChannels;++U)w[M+U*y]+=B*x[L+U];L+=n.outChannels}}}return l.toTensor()},e.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,c=n.padInfo.front,l=n.padInfo.left,f=n.padInfo.top,d=vr(n.outShape,t.dtype),h=this.readSync(t.dataId),p=this.readSync(e.dataId),m=d.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*d.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*d.strides[1],w=b*n.strideDepth-c,k=0;k<r;k++){var _=w+k*o;if(!(_<0||_>=n.inDepth))for(var E=k*e.strides[0],O=v+_*t.strides[1],S=0;S<n.outHeight;++S)for(var C=x+S*d.strides[2],A=S*n.strideHeight-f,N=0;N<i;N++){var T=A+N*s;if(!(T<0||T>=n.inHeight))for(var I=E+N*e.strides[1],D=O+T*t.strides[2],M=0;M<n.outWidth;++M)for(var R=C+M*n.outChannels,F=M*n.strideWidth-l,j=0;j<a;j++){var P=F+j*u;if(!(P<0||P>=n.inWidth))for(var L=I+j*e.strides[2],z=D+P*n.inChannels,B=L,U=0;U<n.inChannels;++U){for(var W=h[z+U],V=0;V<n.outChannels;++V)m[R+V]+=W*p[B+V];B+=n.outChannels}}}}return d.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Tl([t,e],"conv2dDerInput");for(var r=vr(n.inShape,"float32"),i=r.values,a=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],f=n.batchSize,d=n.filterHeight,h=n.filterWidth,p=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,k=n.dataFormat,_=d-1-n.padInfo.top,E=h-1-n.padInfo.left,O="channelsLast"===k,S=r.strides[0],C=O?r.strides[1]:r.strides[2],A=O?r.strides[2]:1,N=O?1:r.strides[1],T=t.strides[0],I=O?t.strides[1]:t.strides[2],D=O?t.strides[2]:1,M=O?1:t.strides[1],R=0;R<f;++R)for(var F=0;F<p;++F)for(var j=0;j<m;++j)for(var P=j-_,L=Math.max(0,Math.ceil(P/x)),z=Math.min(y,(d+P)/x),B=0;B<g;++B){for(var U=B-E,W=Math.max(0,Math.ceil(U/w)),V=Math.min(b,(h+U)/w),q=0,H=L;H<z;++H)for(var G=H*x-P,$=W;$<V;++$)for(var K=T*R+I*H+D*$,X=u*(d-1-G)+c*(h-1-($*w-U))+l*F,Y=0;Y<v;++Y)q+=a[K+M*Y]*o[X+Y];i[S*R+C*j+A*B+N*F]=q}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=vr(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),f=t.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],k=n.batchSize,_=n.filterDepth,E=n.filterHeight,O=n.filterWidth,S=n.inChannels,C=n.inDepth,A=n.inHeight,N=n.inWidth,T=n.outChannels,I=n.outDepth,D=n.outHeight,M=n.outWidth,R=n.strideDepth,F=n.strideHeight,j=n.strideWidth,P=_-1-n.padInfo.front,L=E-1-n.padInfo.top,z=O-1-n.padInfo.left,B=0;B<k;++B)for(var U=0;U<S;++U)for(var W=0;W<C;++W)for(var V=W-P,q=Math.max(0,Math.ceil(V/R)),H=Math.min(I,(_+V)/R),G=0;G<A;++G)for(var $=G-L,K=Math.max(0,Math.ceil($/F)),X=Math.min(D,(E+$)/F),Y=0;Y<N;++Y){for(var J=Y-z,Z=Math.max(0,Math.ceil(J/j)),Q=Math.min(M,(O+J)/j),tt=0,et=q;et<H;++et)for(var nt=et*R-V,rt=K;rt<X;++rt)for(var it=rt*F-$,at=Z;at<Q;++at)for(var ot=d*B+h*et+p*rt+m*at,st=y*(_-1-nt)+b*(E-1-it)+x*(O-1-(at*j-J))+w*U,ut=0;ut<T;++ut)tt+=l[ot+ut]*g[st+ut];i[o*B+s*W+u*G+c*Y+U]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Tl([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=vr(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,f=this.bufferSync(t),d=this.bufferSync(e),h=0;h<a;++h)for(var p=Math.max(0,Math.ceil((l-h)/r)),m=Math.min(n.outHeight,(n.inHeight+l-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((c-g)/i)),y=Math.min(n.outWidth,(n.inWidth+c-g)/i),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,k=0;k<n.batchSize;++k)for(var _=p;_<m;++_)for(var E=h+_*r-l,O=v;O<y;++O){var S=g+O*i-c;w+=s?f.get(k,E,S,b)*d.get(k,_,O,x):f.get(k,b,E,S)*d.get(k,x,_,O)}u.set(w,h,g,b,x)}return u.toTensor()},e.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,c=vr(n.filterShape,"float32"),l=c.values,f=c.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],k=this.readSync(t.dataId),_=t.strides,E=_[0],O=_[1],S=_[2],C=_[3],A=n.padInfo.front,N=n.padInfo.left,T=n.padInfo.top,I=0;I<o;++I)for(var D=Math.max(0,Math.ceil((A-I)/r)),M=Math.min(n.outDepth,(n.inDepth+A-I)/r),R=I*d,F=0;F<s;++F)for(var j=Math.max(0,Math.ceil((T-F)/i)),P=Math.min(n.outHeight,(n.inHeight+T-F)/i),L=F*h+R,z=0;z<u;++z)for(var B=Math.max(0,Math.ceil((N-z)/a)),U=Math.min(n.outWidth,(n.inWidth+N-z)/a),W=z*p+L,V=0;V<n.inChannels;++V)for(var q=V*m+W,H=0;H<n.outChannels;++H){for(var G=0,$=0;$<n.batchSize;++$)for(var K=$*E,X=$*y,Y=D;Y<M;++Y)for(var J=(I+Y*r-A)*O+K,Z=Y*b+X,Q=j;Q<P;++Q)for(var tt=(F+Q*i-T)*S+J,et=Q*x+Z,nt=B;nt<U;++nt){var rt=nt*w+et;G+=k[(z+nt*a-N)*C+tt+V]*g[rt+H]}l[q+H]=G}return c.toTensor()},e.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=Il(this,s,a,o)),s},e.prototype.depthwiseConv2D=function(t,e,n){Tl([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,c=n.outChannels/n.inChannels,l=vr(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),h=l.values,p=0;p<n.batchSize;++p)for(var m=p*t.strides[0],g=p*l.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*l.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 k=x*e.strides[0],_=m+w*t.strides[1],E=0;E<n.outWidth;++E)for(var O=y+E*l.strides[2],S=E*n.strideWidth-u,C=0;C<i;++C){var A=S+C*o;if(!(A<0||A>=n.inWidth))for(var N=k+C*e.strides[1],T=_+A*n.inChannels,I=O,D=N,M=0;M<n.inChannels;++M){for(var R=f[T+M],F=0;F<c;++F)h[I+F]+=R*d[D+F];I+=c,D+=c}}}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Tl([t,e],"depthwiseConv2DDerInput");for(var r=vr(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,f=l[0],d=l[1],h=l[2],p=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,k=n.inChannels,_=n.inHeight,E=n.inWidth,O=n.outChannels,S=n.outHeight,C=n.outWidth,A=n.strideHeight,N=n.strideWidth,T=x-1-n.padInfo.top,I=w-1-n.padInfo.left,D=O/k,M=0;M<b;++M)for(var R=0;R<k;++R)for(var F=0;F<_;++F)for(var j=F-T,P=Math.max(0,Math.ceil(j/A)),L=Math.min(S,(x+j)/A),z=0;z<E;++z){for(var B=z-I,U=Math.max(0,Math.ceil(B/N)),W=Math.min(C,(w+B)/N),V=0,q=P;q<L;++q)for(var H=q*A-j,G=U;G<W;++G)for(var $=f*M+d*q+h*G,K=g*(x-1-H)+v*(w-1-(G*N-B))+y*R,X=0;X<D;++X)V+=c[$+(R*D+X)]*p[K+X];i[o*M+s*F+u*z+R]=V}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Tl([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=vr(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,f=this.bufferSync(t),d=this.bufferSync(e),h=0;h<a;++h)for(var p=Math.max(0,Math.ceil((c-h)/r)),m=Math.min(n.outHeight,(n.inHeight+c-h)/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/l),w=b%l,k=0,_=0;_<n.batchSize;++_)for(var E=p;E<m;++E)for(var O=h+E*r-c,S=v;S<y;++S){var C=g+S*i-u;k+=f.get(_,O,C,x)*d.get(_,E,S,b)}s.set(k,h,g,x,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Tl(t,"tile"),ra(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Tl(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=vr(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map(function(t,e){return t+i[e]});o.set.apply(o,[a.get.apply(a,u)].concat(c))}return o.toTensor()},e.prototype.transpose=function(t,e){Tl(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=vr(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),c=0;c<u.length;c++)u[c]=s[e[c]];var l=a.locToIndex(u);a.values[l]=i[r]}return a.toTensor()},e.prototype.gather=function(t,e,n){Tl([t,e],"gather");var r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;for(var a=vr(r,t.dtype),o=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=i[u[n]];var l=o.locToIndex(c);a.values[s]=o.values[l]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Tl([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=Gr(t.shape,e,r),a=$r(i.length,e.length),o=Kr(t.shape,e,r),s=Xr(n,e.length),u=Yr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Tl([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var a=1+e.length;a<t.shape.length;++a)i.push([0,0]);var o=t.pad(i),s=Gr(o.shape,e,r,!1),u=$r(s.length,e.length,!1),c=Kr(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(c)},e.prototype.pool=function(t,e,n){Tl(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,f="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,d=this.readSync(t.dataId),h=vr(e.outShape,t.dtype),p=h.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 k=0;k<e.outHeight;++k)for(var _=k*r-c,E=Math.max(0,_),O=Math.min(e.inHeight,s+_),S=b+k*g,C=0;C<e.outWidth;++C){for(var A=C*i-l,N=Math.max(0,A),T=Math.min(e.inWidth,u+A),I=f,D=0,M=0,R=E;R<O;R+=a){for(var F=x+R*t.strides[1],j=N;j<T;j+=o){var P=d[F+j*t.strides[2]+w];"max"===n&&P>I?I=P:"avg"===n&&(D+=P,M++)}if(isNaN(I))break}p[S+C*v+w]="avg"===n?D/M:I}return h.toTensor()},e.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},e.prototype.maxPoolPositions=function(t,e){for(var n=vr(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,f=this.bufferSync(t),d=0;d<e.batchSize;++d)for(var h=0;h<e.inChannels;++h)for(var p=0;p<e.outHeight;++p){for(var m=p*r-c,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-l,x=b;x<0;)x+=o;for(var w=Math.min(e.inWidth,u+b),k=Number.NEGATIVE_INFINITY,_=-1,E=g;E<v;E+=a)for(var O=E-m,S=x;S<w;S+=o){var C=S-b,A=f.get(d,E,S,h);A>k&&(k=A,_=O*u+C)}n.set(_,d,p,y,h)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Tl([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),a=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,l=r.effectiveFilterWidth,f=l-1-r.padInfo.left,d=c-1-r.padInfo.top,h=vr(e.shape,"float32"),p=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-d,w=b-f,k=0,_=0;_<c;_+=s){var E=(x+_)/a;if(!(E<0||E>=r.outHeight||Math.floor(E)!==E))for(var O=0;O<l;O+=u){var S=(w+O)/o;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var C=c*l-1-p.get(g,E,S,v)===_*l+O?1:0;0!==C&&(k+=m.get(g,E,S,v)*C)}}}h.set(k,g,y,b,v)}return h.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Tl([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,f=l-1-n.padInfo.left,d=c-1-n.padInfo.top,h=vr(e.shape,"float32"),p=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-d,w=b-f,k=0,_=0;_<c;_+=s){var E=(x+_)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var O=0;O<l;O+=u){var S=(w+O)/i;S<0||S>=n.outWidth||Math.floor(S)!==S||(k+=m.get(g,E,S,v))}}h.set(k*p,g,y,b,v)}return h.toTensor()},e.prototype.pool3d=function(t,e,n){Tl(t,"pool3d");for(var r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=e.padInfo.front,h=e.padInfo.top,p=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),v=vr(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],k=e.outShape[4],_=0;_<e.batchSize;++_)for(var E=_*b,O=_*t.strides[0],S=0;S<e.inChannels;++S)for(var C=0;C<e.outDepth;++C){for(var A=C*r-d,N=A;N<0;)N+=o;for(var T=Math.min(e.inDepth,c+A),I=E+C*x,D=0;D<e.outHeight;++D){for(var M=D*i-h,R=M;R<0;)R+=s;for(var F=Math.min(e.inHeight,l+M),j=I+D*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,z=L;z<0;)z+=u;for(var B=Math.min(e.inWidth,f+L),U=j+P*k,W=m,V=0,q=0,H=N;H<T;H+=o){for(var G=O+H*t.strides[1],$=R;$<F;$+=s){for(var K=G+$*t.strides[2],X=z;X<B;X+=u){var Y=g[K+X*t.strides[3]+S];if("max"===n&&Y>W?W=Y:"avg"===n&&(V+=Y,q++),isNaN(W))break}if(isNaN(W))break}if(isNaN(W))break}y[U+S]="avg"===n?V/q:W}}}return v.toTensor()},e.prototype.avgPool3d=function(t,e){return Tl(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Tl([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,f=n.dilationWidth,d=n.effectiveFilterDepth,h=n.effectiveFilterHeight,p=n.effectiveFilterWidth,m=d-1-n.padInfo.front,g=p-1-n.padInfo.left,v=h-1-n.padInfo.top,y=vr(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var k=0;k<n.inChannels;++k)for(var _=0;_<n.inDepth;++_)for(var E=0;E<n.inHeight;++E)for(var O=0;O<n.inWidth;++O){for(var S=_-m,C=E-v,A=O-g,N=0,T=0;T<d;T+=c){var I=(S+T)/r;if(!(I<0||I>=n.outDepth||Math.floor(I)!==I))for(var D=0;D<h;D+=l){var M=(C+D)/i;if(!(M<0||M>=n.outHeight||Math.floor(M)!==M))for(var R=0;R<p;R+=f){var F=(A+R)/a;F<0||F>=n.outWidth||Math.floor(F)!==F||(N+=x.get(w,I,M,F,k))}}}y.set(N*b,w,_,E,O,k)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Tl(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=vr(e.outShape,"int32"),r=e.strideDepth,i=e.strideHeight,a=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=e.padInfo.front,h=e.padInfo.top,p=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-d,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,c+b),k=0;k<e.outHeight;++k){for(var _=k*i-h,E=_;E<0;)E+=s;for(var O=Math.min(e.inHeight,l+_),S=0;S<e.outWidth;++S){for(var C=S*a-p,A=C;A<0;)A+=u;for(var N=Math.min(e.inWidth,f+C),T=Number.NEGATIVE_INFINITY,I=-1,D=x;D<w;D+=o)for(var M=D-b,R=E;R<O;R+=s)for(var F=R-_,j=A;j<N;j+=u){var P=j-C,L=m.get(g,D,R,j,v);L>=T&&(T=L,I=M*l*f+F*l+P)}n.set(I,g,y,k,S,v)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Tl([e,n],"maxPool3dBackprop");for(var i=this.maxPool3dPositions(e,r),a=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,f=r.effectiveFilterDepth,d=r.effectiveFilterHeight,h=r.effectiveFilterWidth,p=f-1-r.padInfo.front,m=h-1-r.padInfo.left,g=d-1-r.padInfo.top,v=vr(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 k=0;k<r.inDepth;++k)for(var _=0;_<r.inHeight;++_)for(var E=0;E<r.inWidth;++E){for(var O=k-p,S=_-g,C=E-m,A=0,N=0;N<f;N+=u){var T=(O+N)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var I=0;I<d;I+=c){var D=(S+I)/o;if(!(D<0||D>=r.outHeight||Math.floor(D)!==D))for(var M=0;M<h;M+=l){var R=(C+M)/s;if(!(R<0||R>=r.outWidth||Math.floor(R)!==R)){var F=f*d*h-1-y.get(x,T,D,R,w)===N*d*h+I*h+M?1:0;0!==F&&(A+=b.get(x,T,D,R,w)*F)}}}}v.set(A,x,k,_,E,w)}return v.toTensor()},e.prototype.cast=function(t,e){return Bi(t,e,this)},e.prototype.reshape=function(t,e){return Ui(t,e)},e.prototype.avgPool=function(t,e){return Tl(t,"avgPool"),this.pool(t,e,"avg").toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Tl(t,"resizeBilinear");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(I([a,e,n,u])),f=[r&&e>1?o-1:o,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=0,p=f[0]/d[0],m=f[1]/d[1],g=0;g<a;g++)for(var v=0;v<e;v++)for(var y=p*v,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),k=g*t.strides[0]+b*t.strides[1],_=g*t.strides[0]+w*t.strides[1],E=0;E<n;E++)for(var O=m*E,S=Math.floor(O),C=O-S,A=Math.min(s-1,Math.ceil(O)),N=k+S*t.strides[2],T=_+S*t.strides[2],D=k+A*t.strides[2],M=_+A*t.strides[2],R=0;R<u;R++){var F=c[N+R],j=c[T+R],P=F+(c[D+R]-F)*C,L=P+(j+(c[M+R]-j)*C-P)*x;l[h++]=L}return jn(l,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Tl([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),d=[n&&c>1?a-1:a,n&&l>1?o-1:o],h=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=d[0]/h[0],m=d[1]/h[1],g=this.readSync(t.dataId),v=0,y=0;y<i;y++)for(var b=y*e.strides[0],x=0;x<c;x++)for(var w=x*p,k=Math.floor(w),_=Math.min(Math.ceil(w),a-1),E=b+k*e.strides[1],O=b+_*e.strides[1],S=w-k,C=1-S,A=0;A<l;A++)for(var N=A*m,T=Math.floor(N),I=Math.min(Math.ceil(N),o-1),D=N-T,M=1-D,R=E+T*e.strides[2],F=E+I*e.strides[2],j=O+T*e.strides[2],P=O+I*e.strides[2],L=C*M,z=C*D,B=S*M,U=S*D,W=0;W<s;W++){var V=g[v++];f[R+W]+=V*L,f[F+W]+=V*z,f[j+W]+=V*B,f[P+W]+=V*U}return Wn(f,[i,o,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Tl(t,"resizeNearestNeighbor");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),f=[r&&e>1?o-1:o,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=f[0]/d[0],p=f[1]/d[1],m=0,g=0;g<a;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=h*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var k=p*w,_=x+Math.min(s-1,r?Math.round(k):Math.floor(k))*t.strides[2],E=0;E<u;E++){var O=c[_+E];l[m++]=O}return jn(l,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Tl([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),d=this.readSync(t.dataId),h=[n&&c>1?a-1:a,n&&l>1?o-1:o],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=h[0]/p[0],g=h[1]/p[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 k=w*e.strides[0],_=0;_<a;_++)for(var E=k+_*e.strides[1],O=Math.floor(_*v),S=Math.floor(O-b/2),C=0;C<o;C++)for(var A=E+C*e.strides[2],N=Math.floor(C*y),T=Math.floor(N-x/2),I=0;I<s;I++){for(var D=0,M=0;M<b;M++){var R=M+S;if(!(R<0||R>=c)){var F=k+R*t.strides[1],j=R*m;if(_===Math.min(a-1,n?Math.round(j):Math.floor(j)))for(var P=0;P<x;P++){var L=P+T;if(!(L<0||L>=l)){var z=F+L*t.strides[2],B=L*g;C===Math.min(o-1,n?Math.round(B):Math.floor(B))&&(D+=d[z+I])}}}}f[A+I]=D}return Wn(f,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,i,a){Tl([t,e,n,i,a],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=i?this.readSync(i.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),f=new Float32Array(o.length),d=l.length,h=c.length,p=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)f[x]=l[g++]+(o[x]-s[v++])*c[y++]/Math.sqrt(u[b++]+r),g>=d&&(g=0),v>=m&&(v=0),y>=h&&(y=0),b>=p&&(b=0);return Wn(f,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,i){Tl(t,"localResponseNormalization4D");var a=t.shape[3],o=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(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 c=s[r];u+=c*c}return u}for(var f=0;f<u;f++){var d=l(f),h=s[f]*Math.pow(n+r*d,-i);c[f]=h}return Wn(c,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){Tl(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),f=new Float32Array(t.size),d=t.size,h=0;h<d;h++){for(var p=h%s,m=h-p+Math.max(0,p-r),g=h-p+Math.min(s,p+r+1),v=0,y=m;y<g;y++)v+=Math.pow(c[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*c[y]*l[h]/v;h===y&&(b+=Math.pow(v,-o)),b*=u[h],f[y]+=b}}return Wn(f,t.shape)},e.prototype.multinomial=function(t,e,n,r){Tl(t,"multinomial");for(var i=e?t:xi(t),a=i.shape[0],o=i.shape[1],s=$n([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(i.dataId),l=0;l<a;++l){var f=l*o,d=new Float32Array(o-1);d[0]=c[f];for(var h=1;h<d.length;++h)d[h]=d[h-1]+c[f+h];for(var p=hr(r.toString()),m=l*n,g=0;g<n;++g){var v=p();u[m+g]=d.length;for(var y=0;y<d.length;y++)if(v<d[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Tl(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 Bn(i,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return Tl(t,"nonMaxSuppression"),Yi(this.readSync(t.dataId),this.readSync(e.dataId),n,r,i)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=vr(t.shape,"float32"),a=vr(t.shape,"float32"),o=Rn(t).as2D(n,r),s=Fn(t).as2D(n,r),u=0;u<n;u++)for(var c=o.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),f=Mn(c,l),d=this.readSync(this.fftImpl(f,e).dataId),h=0;h<r;h++){var p=Hi(d,h);i.values[u*r+h]=p.real,a.values[u*r+h]=p.imag}return Mn(i.toTensor(),a.toTensor()).as2D(n,r)},e.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=Mn(Rn(i).div(Ln(r)),Fn(i).div(Ln(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 Mn(o.real,o.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.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=Mn(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=Mn(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var c=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),l=Mn(c.real,c.imag).mul(u),f=o.add(l),d=o.sub(l),h=Rn(f).concat(Rn(d)),p=Fn(f).concat(Fn(d));return Mn(h,p).as1D()},e.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=$i(i*s,e,n),c=Hi(t,s);a+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(a/=e,o/=e),Gi(r,a,o,i)}return r},e.prototype.depthToSpace=function(t,e,n){C("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),C(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,c=o/(e*e),l=this.readSync(t.dataId),f=new Float32Array(r*s*u*c),d=0,h=0;h<r;++h)for(var p=0;p<s;++p)for(var m=Math.floor(p/e),g=p%e,v=0;v<u;++v)for(var y=Math.floor(v/e),b=(g*e+v%e)*c,x=0;x<c;++x){var w=x+b+o*(y+a*(m+i*h));f[d++]=l[w]}return Wn(f,[r,s,u,c])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=Ci(t.shape,e.shape),a=vr(i,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Oi(t.shape,i),c=Oi(e.shape,i),l=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;++f)l[f]=r(o[f%o.length],s[f%s.length]);else{var d=this.bufferSync(t),h=this.bufferSync(e),p=function(n){var i=a.indexToLoc(n),f=i.slice(-t.rank);u.forEach(function(t){return f[t]=0});var p=d.locToIndex(f),m=i.slice(-e.rank);c.forEach(function(t){return m[t]=0});var g=h.locToIndex(m);l[n]=r(o[p],s[g])};for(f=0;f<l.length;++f)p(f)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Ci(t.shape,e.shape),i=vr(r,"float32"),a=vr(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Oi(t.shape,r),c=Oi(e.shape,r),l=i.values,f=a.values;if(u.length+c.length===0)for(var d=0;d<l.length;d++){var h=d%o.length,p=d%s.length,m=n(o[2*h],o[2*h+1],s[2*p],s[2*p+1]);l[d]=m.real,f[d]=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),d=a.slice(-t.rank);u.forEach(function(t){return d[t]=0});var h=g.locToIndex(d),p=a.slice(-e.rank);c.forEach(function(t){return p[t]=0});var m=v.locToIndex(p),y=n(o[2*h],o[2*h+1],s[2*m],s[2*m+1]);l[r]=y.real,f[r]=y.imag};for(d=0;d<l.length;d++)y(d)}return this.complex(i.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return na(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,i,a){for(var o=t.shape,s=o[0],u=o[1],c=o[2],l=o[3],f=e.shape[0],d=r[0],h=r[1],p=vr([f,d,h,l],"float32"),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),y=t.strides,b=p.strides,x=0;x<f;x++){var w=4*x,k=m[w],_=m[w+1],E=m[w+2],O=m[w+3],S=g[x];if(!(S>=s))for(var C=d>1?(E-k)*(u-1)/(d-1):0,A=h>1?(O-_)*(c-1)/(h-1):0,N=0;N<d;N++){var T=d>1?k*(u-1)+N*C:.5*(k+E)*(u-1);if(T<0||T>u-1)for(var I=0;I<h;I++)for(var D=0;D<l;D++){var M=D+I*b[2]+N*b[1]+x*b[0];p.values[M]=a}else if("bilinear"===i){var R=Math.floor(T),F=Math.ceil(T),j=T-R;for(I=0;I<h;I++)if((H=h>1?_*(c-1)+I*A:.5*(_+O)*(c-1))<0||H>c-1)for(D=0;D<l;D++)M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=a;else{var P=Math.floor(H),L=Math.ceil(H),z=H-P;for(D=0;D<l;D++){var B=v[M=D+P*y[2]+R*y[1]+S*y[0]],U=v[M=D+L*y[2]+R*y[1]+S*y[0]],W=v[M=D+P*y[2]+F*y[1]+S*y[0]],V=B+(U-B)*z,q=W+(v[M=D+L*y[2]+F*y[1]+S*y[0]]-W)*z;M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=V+(q-V)*j}}}else for(I=0;I<h;++I){var H;if((H=h>1?_*(c-1)+I*A:.5*(_+O)*(c-1))<0||H>c-1)for(D=0;D<l;D++)M=D+I*b[2]+N*b[1]+x*b[0],p.values[M]=a;else{var G=Math.round(H),$=Math.round(T);for(D=0;D<l;D++){var K=D+G*y[2]+$*y[1]+S*y[0],X=D+I*b[2]+N*b[1]+x*b[0];p.values[X]=v[K]}}}}}return p.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var i=ri(0,t,n),a=i.sliceRank,o=i.numUpdates,s=i.sliceSize,u=i.strides,c=i.outputSize;return this.scatter(t,e,n,c,s,o,a,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Jr(t,e),a=i[0],o=i[1],s=i[2],u=i[3];if(0===o)return jn([],a,t.dtype);for(var c=new wt([o,s],t.dtype),l=this.readSync(e.dataId),f=this.readSync(t.dataId),d=0;d<o;d++){for(var h=[],p=0,m=0;m<r;m++){var g=l[d*r+m];p+=g*u[m],h.push(g)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: 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t.prototype.listModels=function(){return u(this,void 0,void 0,function(){var t=this;return c(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return of(r)},r.onsuccess=function(){var t=r.result,i=t.transaction(rf,"readonly"),a=i.objectStore(rf).getAll();a.onsuccess=function(){for(var t={},n=0,r=a.result;n<r.length;n++){var i=r[n];t[i.modelPath]=i.modelArtifactsInfo}e(t)},a.onerror=function(e){return t.close(),n(a.error)},i.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return u(this,void 0,void 0,function(){var e=this;return c(this,function(n){var r;return t=(r=t).startsWith(sf.URL_SCHEME)?r.slice(sf.URL_SCHEME.length):r,[2,new Promise(function(n,r){var i=e.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return of(i)},i.onsuccess=function(){var 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vf(t){return{info:[ff,t,df].join(lf),topology:[ff,t,hf].join(lf),weightSpecs:[ff,t,pf].join(lf),weightData:[ff,t,mf].join(lf),modelMetadata:[ff,t,gf].join(lf)}}function yf(t){var e=t.split(lf);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(lf)}var bf=function(){function t(t){if(!f().getBool("IS_BROWSER")||"undefined"==typeof window||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==t||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=vf(this.modelPath)}return t.prototype.save=function(t){return u(this,void 0,void 0,function(){var e,n,r;return c(this,function(a){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),r=Yl(t);try{return 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,function(t){if(Gl)return i.from(t).toString("base64");for(var e=new Uint8Array(t),n="",r=0,a=e.length;r<a;r++)n+=String.fromCharCode(e[r]);return btoa(n)}(t.weightData)),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata})),[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+".")}return[2]})})},t.prototype.load=function(){return u(this,void 0,void 0,function(){var t,e,n,r,a,o,s;return c(this,function(u){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,e.userDefinedMetadata=o.userDefinedMetadata),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 e.weightData=function(t){if(Gl){var e=i.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var n=atob(t),r=new Uint8Array(n.length),a=0;a<n.length;++a)r.set([n.charCodeAt(a)],a);return r.buffer}(s),[2,e]})})},t.URL_SCHEME="localstorage://",t}(),xf=function(t){return f().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(bf.URL_SCHEME)?(e=t.slice(bf.URL_SCHEME.length),new bf(e)):null;var e};Jl.registerSaveRouter(xf),Jl.registerLoadRouter(xf);var wf=function(){function t(){C(f().getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),C("undefined"==typeof window||void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return t.prototype.listModels=function(){return u(this,void 0,void 0,function(){var t,e,n,r,i,a;return c(this,function(o){for(t={},e=ff+lf,n=lf+df,r=0;r<this.LS.length;++r)(i=this.LS.key(r)).startsWith(e)&&i.endsWith(n)&&(a=yf(i),t[a]=JSON.parse(this.LS.getItem(i)));return[2,t]})})},t.prototype.removeModel=function(t){return u(this,void 0,void 0,function(){var e,n;return c(this,function(r){var i;if(t=(i=t).startsWith(bf.URL_SCHEME)?i.slice(bf.URL_SCHEME.length):i,e=vf(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(f().getBool("IS_BROWSER"))try{Ql.registerManager(bf.URL_SCHEME,new wf)}catch(o){}var kf="model",_f=".json",Ef=".weights.bin";function Of(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var Sf=function(){function t(e){if(!f().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e=kf),this.modelTopologyFileName=e+_f,this.weightDataFileName=e+Ef}return t.prototype.save=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o;return c(this,function(s){switch(s.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},i=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),(a=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=i,[4,Of(function(){return a.dispatchEvent(new MouseEvent("click"))})];case 2:return s.sent(),null==t.weightData?[3,4]:((o=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,o.href=e,[4,Of(function(){return o.dispatchEvent(new MouseEvent("click"))})]);case 3:s.sent(),s.label=4;case 4:return[2,{modelArtifactsInfo:Yl(t)}]}})})},t.URL_SCHEME="downloads://",t}(),Cf=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return t.prototype.load=function(){return u(this,void 0,void 0,function(){var t,e,n=this;return c(this,function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(r,i){var a=new FileReader;a.onload=function(a){var o=JSON.parse(a.target.result),s=o.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=o.weightsManifest;if(null!=u){var c;try{c=n.checkManifestAndWeightFiles(u,e)}catch(t){return void i(t)}var l=[],f=[],d=[];u.forEach(function(t){t.paths.forEach(function(t){f.push(t),d.push(null)}),l.push.apply(l,t.weights)}),u.forEach(function(t){t.paths.forEach(function(t){var e=new FileReader;e.onload=function(e){var n=e.target.result,i=f.indexOf(t);d[i]=n,-1===d.indexOf(null)&&r({modelTopology:s,weightSpecs:l,weightData:Kl(d),format:o.format,generatedBy:o.generatedBy,convertedBy:o.convertedBy,userDefinedMetadata:o.userDefinedMetadata})},e.onerror=function(e){return i("Failed to weights data from file of path '"+t+"'.")},e.readAsArrayBuffer(c[t])})})}else i(new Error("weightManifest field is missing from file "+t.name))}else i(new Error("modelTopology field is missing from file "+t.name))},a.onerror=function(e){return i("Failed to read model topology and weights manifest JSON from file '"+t.name+"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.")},a.readAsText(t)})]})})},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map(function(t){return Xl(t.name)}),i={},a=0,o=t;a<o.length;a++)o[a].paths.forEach(function(t){var a=Xl(t);if(-1!==n.indexOf(a))throw new Error("Duplicate file basename found in weights manifest: '"+a+"'");if(n.push(a),-1===r.indexOf(a))throw new Error("Weight file with basename '"+a+"' is not provided.");i[t]=e[r.indexOf(a)]});if(n.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest ("+n.length+") and the number of weight files provided ("+e.length+").");return i},t}();function Af(t,e,n,r){!function(t){C(null!=t&&Array.isArray(t)&&t.length>0,function(){return"promises must be a none empty array"})}(t),function(t,e){C(t>=0&&t<=1,function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t}),C(e>=0&&e<=1,function(){return"Progress fraction must be in range [0, 1], 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function(n,r,i){return void 0===r&&(r=""),u(e,void 0,void 0,function(){var e,a,o,s,u,l,f,d,h,p;return c(this,function(c){switch(c.label){case 0:if(e=n.map(function(){return!1}),a={},o=null!=i?i.map(function(){return!1}):[],s=[],n.forEach(function(t,n){var r=0;t.weights.forEach(function(t){var u="quantization"in t?t.quantization.dtype:t.dtype,c=Vl[u]*I(t.shape),l=function(){e[n]=!0,null==a[n]&&(a[n]=[]),a[n].push({manifestEntry:t,groupOffset:r,sizeBytes:c})};null!=i?i.forEach(function(e,n){e===t.name&&(l(),o[n]=!0)}):l(),s.push(t.name),r+=c})}),!o.every(function(t){return t}))throw u=i.filter(function(t,e){return!o[e]}),new Error("Could not find weights in manifest with names: "+u.join(", ")+". \nManifest JSON has weights with names: "+s.join(", ")+".");return l=e.reduce(function(t,e,n){return e&&t.push(n),t},[]),f=[],l.forEach(function(t){n[t].paths.forEach(function(t){var e=r+(r.endsWith("/")?"":"/")+t;f.push(e)})}),[4,t(f)];case 1:return d=c.sent(),h={},p=0,l.forEach(function(t){for(var e=n[t].paths.length,r=0,i=0;i<e;i++)r+=d[p+i].byteLength;for(var o=new ArrayBuffer(r),s=new Uint8Array(o),u=0,c=0;c<e;c++){var l=new Uint8Array(d[p+c]);s.set(l,u),u+=l.byteLength}a[t].forEach(function(t){var e=Hl(o.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)h[n]=e[n]}),p+=e}),[2,h]}})})}}Jl.registerSaveRouter(function(t){return f().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Sf.URL_SCHEME)?function(t){return void 0===t&&(t="model"),new Sf(t)}(t.slice(Sf.URL_SCHEME.length)):null});var If=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null!=e.fetchFunc?(C("function"==typeof e.fetchFunc,function(){return"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"}),this.fetch=e.fetchFunc):this.fetch=f().platform.fetch,C(null!=t&&t.length>0,function(){return"URL path for http must not be null, undefined or empty."}),Array.isArray(t)&&C(2===t.length,function(){return"URL paths for http must have a length of 2, (actual length is "+t.length+")."}),this.path=t,null!=e.requestInit&&null!=e.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}return t.prototype.save=function(t){return u(this,void 0,void 0,function(){var e,n,r,i;return c(this,function(a){switch(a.label){case 0:if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");return(e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:n},e.body.append("model.json",new Blob([JSON.stringify(r)],{type:"application/json"}),"model.json"),null!=t.weightData&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin"),[4,this.fetch(this.path,e)];case 1:if((i=a.sent()).ok)return[2,{modelArtifactsInfo:Yl(t),responses:[i]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".")}})})},t.prototype.load=function(){return u(this,void 0,void 0,function(){var t,e,n,r,i,a,o,s,u,l,f,d;return c(this,function(c){switch(c.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(!(t=c.sent()).ok)throw new Error("Request to "+this.path+" failed with status code "+t.status+". Please verify this URL points to the model JSON of the model to load.");c.label=2;case 2:return c.trys.push([2,4,,5]),[4,t.json()];case 3:return e=c.sent(),[3,5];case 4:throw c.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(r=e.modelTopology,i=e.weightsManifest,a=e.generatedBy,o=e.convertedBy,s=e.format,u=e.userDefinedMetadata,null==r&&null==i)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==i?[3,7]:[4,this.loadWeights(i)];case 6:d=c.sent(),l=d[0],f=d[1],c.label=7;case 7:return[2,{modelTopology:r,weightSpecs:l,weightData:f,userDefinedMetadata:u,generatedBy:a,convertedBy:o,format:s}]}})})},t.prototype.loadWeights=function(t){return u(this,void 0,void 0,function(){var e,n,r,i,a,o,s,u,l,f,d;return c(this,function(c){switch(c.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?");return[t.substring(0,e)+"/",n>e?t.substring(n):""]}(e),r=n[0],i=n[1],a=this.weightPathPrefix||r,o=[],s=0,u=t;s<u.length;s++)l=u[s],o.push.apply(o,l.weights);return f=[],t.forEach(function(t){t.paths.forEach(function(t){f.push(a+t+i)})}),[4,Nf(f,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 1:return d=c.sent(),[2,[o,Kl(d)]]}})})},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Df(t){return null!=t.match(If.URL_SCHEME_REGEX)}var Mf=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every(function(t){return Df(t)}):Df(t))?Rf(t,{onProgress:e}):null};function Rf(t,e){return new If(t,e)}Jl.registerSaveRouter(Mf),Jl.registerLoadRouter(Mf);var Ff,jf=function(){function t(t){this.modelArtifacts=t}return t.prototype.load=function(){return u(this,void 0,void 0,function(){return c(this,function(t){return[2,this.modelArtifacts]})})},t}(),Pf=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return u(this,void 0,void 0,function(){return c(this,function(e){return[2,this.saveHandler(t)]})})},t}(),Lf=Object.freeze({browserFiles:function(t){return new Cf(t)},browserHTTPRequest:function(t,e){return Rf(t,e)},concatenateArrayBuffers:Kl,decodeWeights:Hl,encodeWeights:function(t,e){return u(this,void 0,void 0,function(){var n,r,i,a,o,s=this;return c(this,function(l){switch(l.label){case 0:for(n=[],r=[],i=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t),a=function(a){var o=i[a],l=Array.isArray(t)?t[a].tensor:t[o];if("float32"!==l.dtype&&"int32"!==l.dtype&&"bool"!==l.dtype&&"string"!==l.dtype)throw new Error("Unsupported dtype in weight '"+o+"': "+l.dtype);var f={name:o,shape:l.shape,dtype:l.dtype};if("string"===l.dtype){var d=new Promise(function(t){return u(s,void 0,void 0,function(){var e,n,r,i,a,o,s;return c(this,function(u){switch(u.label){case 0:return[4,l.bytes()];case 1:for(e=u.sent(),n=e.reduce(function(t,e){return t+e.length},0)+ql*e.length,r=new Uint8Array(n),i=0,a=0;a<e.length;a++)o=e[a],s=new Uint8Array(new Uint32Array([o.length]).buffer),r.set(s,i),i+=ql,r.set(o,i),i+=o.length;return t(r),[2]}})})});r.push(d)}else r.push(l.data());null!=e&&(f.group=e),n.push(f)},o=0;o<i.length;++o)a(o);return[4,Promise.all(r)];case 1:return[2,{data:function(t){if(null===t)throw new Error("Invalid input value: "+JSON.stringify(t));var e=0,n=[];t.forEach(function(t){if(e+=t.byteLength,n.push(t.byteLength===t.buffer.byteLength?t:new t.constructor(t)),!(t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+t.constructor.name)});var r=new Uint8Array(e),i=0;return n.forEach(function(t){r.set(new Uint8Array(t.buffer),i),i+=t.byteLength}),r.buffer}(l.sent()),specs:n}]}})})},fromMemory:function(t,e,n,r){return 1===arguments.length?null!=t.modelTopology||null!=t.weightSpecs?new jf(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new jf({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new jf({modelTopology:t,weightSpecs:e,weightData:n,trainingConfig:r}))},getLoadHandlers:function(t,e){return Jl.getLoadHandlers(t,e)},getModelArtifactsInfoForJSON:Yl,getSaveHandlers:function(t){return Jl.getSaveHandlers(t)},http:Rf,isHTTPScheme:Df,loadWeights:function(t,e,n,r){return void 0===e&&(e=""),u(this,void 0,void 0,function(){return c(this,function(i){return[2,Tf(function(t){return Nf(t,{requestInit:r})})(t,e,n)]})})},registerLoadRouter:function(t){return Jl.registerLoadRouter(t)},registerSaveRouter:function(t){return Jl.registerSaveRouter(t)},weightsLoaderFactory:Tf,withSaveHandler:function(t){return new Pf(t)},copyModel:function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return[2,ef(t,e,!1)]})})},listModels:function(){return u(this,void 0,void 0,function(){var t,e,n,r,i,a,o;return c(this,function(s){switch(s.label){case 0:t=Ql.getSchemes(),e={},n=0,r=t,s.label=1;case 1:return n<r.length?(i=r[n],[4,Ql.getManager(i).listModels()]):[3,4];case 2:for(o in a=s.sent())e[i+Zl+o]=a[o];s.label=3;case 3:return n++,[3,1];case 4:return[2,e]}})})},moveModel:function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return[2,ef(t,e,!0)]})})},removeModel:function(t){return u(this,void 0,void 0,function(){var e;return c(this,function(n){return e=tf(t),[2,Ql.getManager(e.scheme).removeModel(e.path)]})})}}),zf=Dn({confusionMatrix_:function(t,e,n){var r=xn(t,"labels","confusionMatrix"),i=xn(e,"predictions","confusionMatrix");C(null==n||n>0&&Number.isInteger(n),function(){return"If provided, numClasses must be a positive integer, but got "+n}),C(1===r.rank,function(){return"Expected the rank of labels to be 1, but got "+r.rank}),C(1===i.rank,function(){return"Expected the rank of predictions to be 1, but got "+i.rank}),C(r.shape[0]===i.shape[0],function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+i.shape[0]+". Labels and predictions should have the same number of elements."}),C(n>0&&Number.isInteger(n),function(){return"numClasses is required to be a positive integer, but got "+n});var a=Ar(r.asType("int32"),n),o=Ar(i.asType("int32"),n);return a.transpose().matMul(o).asType("int32")}}),Bf=Object.freeze({confusionMatrix:zf}),Uf=Dn({fromPixels_:function(t,e){if(void 0===e&&(e=3),e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n=!1,r=!1,i=!1,a=!1,o=!1;if(t.data instanceof Uint8Array)n=!0;else if("undefined"!=typeof ImageData&&t instanceof ImageData)r=!0;else if("undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement)i=!0;else if("undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement)a=!0;else{if(null==t.getContext)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);o=!0}if(i&&i&&t.readyState<2)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.");if(null!=m("FromPixels",Wt.backendName))return Wt.runKernel("FromPixels",{pixels:t},{numChannels:e});var s,u,c=i?[t.videoWidth,t.videoHeight]:[t.width,t.height],l=c[0],f=c[1];if(o?s=t.getContext("2d").getImageData(0,0,l,f).data:r||n?s=t.data:(a||i)&&(null==Ff&&(Ff=document.createElement("canvas").getContext("2d")),Ff.canvas.width=l,Ff.canvas.height=f,Ff.drawImage(t,0,0,l,f),s=Ff.getImageData(0,0,l,f).data),4===e)u=new Int32Array(s);else{var d=l*f;u=new Int32Array(d*e);for(var h=0;h<d;h++)for(var p=0;p<e;++p)u[h*e+p]=s[4*h+p]}return Un(u,[f,l,e],"int32")}}),Wf=Object.freeze({toPixels:function(t,e){return u(this,void 0,void 0,function(){var n,r,i,a,o,s,u,l,f,d,h,p,m,g,v,y,b,x,w,k,_,E,O;return c(this,function(c){switch(c.label){case 0:if(n=xn(t,"img","toPixels"),t instanceof Ot||(n=n.toInt()),2!==n.rank&&3!==n.rank)throw new Error("toPixels only supports rank 2 or 3 tensors, got rank "+n.rank+".");if(r=n.shape.slice(0,2),i=r[0],a=r[1],(o=2===n.rank?1:n.shape[2])>4||2===o)throw new Error("toPixels only supports depth of size 1, 3 or 4 but got "+o);return[4,n.data()];case 1:return s=c.sent(),u=n.min(),l=n.max(),[4,Promise.all([u.data(),l.data()])];case 2:if(f=c.sent(),d=f[0],h=f[1],p=d[0],m=h[0],u.dispose(),l.dispose(),"float32"===n.dtype){if(p<0||m>1)throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but got range ["+p+" - "+m+"].")}else{if("int32"!==n.dtype)throw new Error("Unsupported type for toPixels: "+n.dtype+". 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Jf(t,e,0)})},expectNumbersClose:function(t,e,n){if(null==n&&(n=Xf()),!Jf(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))}}),Qf="1.7.0",td=Object.freeze({gpgpu_util:ro,webgl_util:$e,forceHalfFloat:function(){f().set("WEBGL_FORCE_F16_TEXTURES",!0)},MathBackendWebGL:Uo,setWebGLContext:Yt,GPGPUContext:io}),ed=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(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 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Zn(i).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:rn(function(){return Zn(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;rn(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&&(an(this.accumulatedGrads.map(function(t){return t.variable})),an(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){var t;return c(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 u(this,void 0,void 0,function(){var e;return c(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}(ed);Hf(nd);var rd=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 s(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=Wt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:rn(function(){return Kn(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;rn(function(){var t=o.add(a.square());o.assign(t);var n=a.div(t.add(Wt.backend.epsilon()).sqrt()).mul(-e.learningRate).add(i);i.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&an(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(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 u(this,void 0,void 0,function(){return c(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}(ed);Hf(rd);var id=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=[],rn(function(){a.accBeta1=Ln(n).variable(),a.accBeta2=Ln(r).variable()}),null==i&&(a.epsilon=Wt.backend.epsilon()),a}return s(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);rn(function(){var r=lu(1,e.accBeta1),i=lu(1,e.accBeta2);n.forEach(function(n,a){var o=Wt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:rn(function(){return Zn(o).variable(!1)})}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:rn(function(){return Zn(o).variable(!1)})});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedSecondMoment[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),f=c.mul(e.beta2).add(s.square().mul(1-e.beta2)),d=l.div(r),h=f.div(i);u.assign(l),c.assign(f);var 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t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)},e.className="Adamax",e}(ed);Hf(ad);var od=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return s(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=Wt.registeredVariables[n];rn(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=on(Ln(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return u(this,void 0,void 0,function(){return c(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return u(this,void 0,void 0,function(){return c(this,function(e){switch(e.label){case 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  /*! *****************************************************************************
  Copyright (c) Microsoft Corporation. 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

  THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
  WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
  MERCHANTABLITY OR NON-INFRINGEMENT.

  See the Apache Version 2.0 License for specific language governing permissions
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  ***************************************************************************** */
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  /**
   * @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.
   * =============================================================================
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u=Math.sqrt(3*o);return Object(r.randomUniform)(t,-u,u,e)},e.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},e.className="VarianceScaling",e}(Nt);r.serialization.registerClass(Pt);var Lt=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="GlorotUniform",e}(Pt);r.serialization.registerClass(Lt);var zt=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="GlorotNormal",e}(Pt);r.serialization.registerClass(zt);var Bt=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="HeNormal",e}(Pt);r.serialization.registerClass(Bt);var Ut=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="HeUniform",e}(Pt);r.serialization.registerClass(Ut);var Wt=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="LeCunNormal",e}(Pt);r.serialization.registerClass(Wt);var Vt=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return a(e,t),e.prototype.getClassName=function(){return Pt.className},e.className="LeCunNormal",e}(Pt);r.serialization.registerClass(Vt);var qt=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 p("Random seed is not implemented for Orthogonal Initializer yet.");return n}return a(e,t),e.prototype.apply=function(t,e){var n=this;return Object(r.tidy)(function(){if(2!==t.length)throw new p("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=bt(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),i=r.linalg.gramSchmidt(e);return t[0]>t[1]&&(i=i.transpose()),Object(r.mul)(n.gain,i)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Nt);r.serialization.registerClass(qt);var Ht={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 Gt(t,e){return void 0===e&&(e={}),O(t,r.serialization.SerializationMap.getMap().classNameMap,e,"initializer")}function $t(t){return E(t)}function Kt(t){if("string"==typeof t){var e=t in Ht?Ht[t]:t;if("GlorotNormal"===e)return new zt;if("GlorotUniform"===e)return new Lt;if("HeNormal"===e)return new Bt;if("HeUniform"===e)return new Ut;if("LeCunNormal"===e)return new Wt;if("LeCunUniform"===e)return new Vt;var n={};return n.className=e,n.config={},Gt(n)}return t instanceof Nt?t:Gt(t)}var Xt=Object.freeze({zeros:function(){return new Tt},ones:function(){return new It},constant:function(t){return new Dt(t)},randomUniform:function(t){return new Mt(t)},randomNormal:function(t){return new Rt(t)},truncatedNormal:function(t){return new Ft(t)},identity:function(t){return new jt(t)},varianceScaling:function(t){return new Pt(t)},glorotUniform:function(t){return new Lt(t)},glorotNormal:function(t){return new zt(t)},heNormal:function(t){return new Bt(t)},heUniform:function(t){return new Ut(t)},leCunNormal:function(t){return new Wt(t)},leCunUniform:function(t){return new Vt(t)},orthogonal:function(t){return new qt(t)}}),Yt=0;function Jt(){return Yt++}var Zt={};function Qt(t){return void 0===t&&(t=""),t in Zt||(Zt[t]=0),Zt[t]+=1,t+Zt[t].toString()}function te(t){return Array.isArray(t)&&Array.isArray(t[0])}function ee(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function ne(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new h("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function re(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new h("Expected exactly 1 Shape; got "+t.length)}return t}function ie(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 ae="Variable",oe=function(){function t(t,e,n,i,a){void 0===e&&(e="float32"),void 0===n&&(n=ae),void 0===i&&(i=!0),void 0===a&&(a=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=Jt(),n=null==n?ae:n,this.originalName=et(n),this.name=nt(this.originalName),this.trainable_=i,this.constraint=a,this.val=Object(r.variable)(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 se(t){return t.map(function(t){return t.read()})}function ue(t){t.forEach(function(t){t[0].write(t[1])})}var ce=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||{}},le=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=Jt(),null!=a&&(this.originalName=et(a),this.name=nt(this.originalName)),this.rank=e.length},fe=0,de=function(){function t(t,e){this.callArgs=e,this.id=fe++,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}(),he=0,pe=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=he++,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=w(i)+"_"+Qt(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 a(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 d("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new h("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 b(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return b(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new f("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 f("Layer "+this.name+" is not connected, no input to return.");return b(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new f("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new f("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return b(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=x(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=x(this.inputSpec);if(t.length!==e.length)throw new h("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 h("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new h("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 h("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 h("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),c=i.axes[s],l=u>=0?o[u]:o[o.length+u];if(null!=c&&-1===[c,null].indexOf(l))throw new h("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+c+" but got shape "+o+".")}}if(null!=i.shape)for(var f=0;f<i.shape.length;++f){var d=i.shape[f],p=r.shape[f];if(null!=d&&null!=p&&d!==p)throw new h("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=x(t),i=!0,a=0,o=r;a<o.length;a++)if(!(o[a]instanceof le)){i=!1;break}for(var s=!0,u=0,c=r;u<c.length;u++)if(c[u]instanceof le){s=!1;break}if(i===s)throw new h("Arguments to apply() must be all SymbolicTensors or all Tensors");return tt(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],a=0,o=x(t);a<o.length;a++){var u=o[a];i.push(u.shape)}n.build(b(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var c=[],l=0,f=x(g=n.call(t,e));l<f.length;l++){var d=f[l];-1!==r.indexOf(d)&&(d=d.clone()),c.push(d)}if(g=b(c),null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g}var h=function(t){for(var e=[],n=0,r=t=x(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return b(e)}(t),m=n.computeOutputShape(h),g=void 0,v="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?h[0]:h),g=null!=m&&m.length>0&&Array.isArray(m[0])?m.map(function(r,i){return new le(v,r,n,x(t),e,n.name,i)}):new le(v,m,n,x(t),e,n.name),n.addInboundNode(t,g,null,null,h,m,e),n._refCount++,null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g})},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 f("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 f("The layer "+this.name+' has multiple inbound nodes with different output shapes. 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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;xn(r);var i=this.standardizeUserDataXY(t,e,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return b(this.testLoop(o,a,r,n.verbose,n.steps))}finally{Sn(i[0],t),Sn(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return u(this,void 0,void 0,function(){var i,a,o,s,u,l,f,d,h,m;return c(this,function(g){switch(g.label){case 0:if(i=null!=(n=n||{}).batches,a=t.testFunction,o=[],n.verbose>0)throw new p("Verbose mode is not implemented yet.");return r.util.assert(!i||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)?(u=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:u=g.sent(),g.label=3;case 3:s=u,l=0,f=0,d=function(){var e;return c(this,function(u){switch(u.label){case 0:return[4,s.next()];case 1:return e=u.sent(),o=Object(r.tidy)(function(){if(e.value){var n=gn(t,e.value),i=n.xs,s=n.ys,u=i.concat(s),c=Object(r.tidy)(function(){return a(u)});if(Object(r.dispose)(u),0===f)for(var d=0;d<c.length;++d)o.push(Object(r.scalar)(0));var h=u[0].shape[0],p=function(t){var e=c[t],n=o[t];o[t]=Object(r.tidy)(function(){return Object(r.add)(o[t],Object(r.mul)(h,e))}),f>0&&Object(r.dispose)(n)};for(d=0;d<c.length;++d)p(d);Object(r.dispose)(c),l+=h,++f}return o}),e.done?(i&&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]}})},g.label=4;case 4:return!i||f<n.batches?[5,d()]:[3,6];case 5:return"break"===g.sent()?[3,6]:[3,4];case 6:for(h=0;h<o.length;++h)m=o[h],o[h]=Object(r.div)(o[h],l),Object(r.dispose)(m);return[2,b(o)]}})})}(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 h("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new h("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 h("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),i=n?e:[e],a=this.retrieveSymbolicTensors(i),o=new on;if(t instanceof r.Tensor&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new h("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var s=0;s<this.inputs.length;++s)o.add(this.inputs[s],t[s])}else for(var u=0,c=this.inputs;u<c.length;u++){var l=c[u],f=t[l.name];if(null==f)throw new h("No value is provided for the model's input "+l.name);o.add(l,f)}var d=cn(a,o);return n?d:d[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=g(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 c=s.indexOf(t[u]);if(-1!==c&&(e[u]=o[c],n--),0===n)break}if(0===n)break}if(n>0){var l=[];throw e.forEach(function(e,n){null==e&&l.push(t[n])}),new h("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(l))}return e},e.prototype.predictLoop=function(t,e,n){var i=this;return void 0===e&&(e=32),void 0===n&&(n=!1),Object(r.tidy)(function(){var a=i.checkNumSamples(t);if(n)throw new p("Verbose predictLoop() is not implemented yet.");for(var o=_n(a,e),s=i.outputs.map(function(t){return[]}),u=function(e){Object(r.tidy)(function(){var n=o[e][0],r=o[e][1],a=wn(t,n,r),s=[];if(Array.isArray(a))for(var u=0;u<a.length;++u)s.push({key:i.inputs[u],value:a[u]});else s.push({key:i.inputs[0],value:a});var c=new on(s);return cn(i.outputs,c)}).forEach(function(t,e){return s[e].push(t)})},c=0;c<o.length;++c)u(c);return b(s.map(function(t){return Object(r.concat)(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=On(t);Tn(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return xn(r),this.predictLoop(n,r)}finally{Sn(n,t)}},e.prototype.predictOnBatch=function(t){Tn(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,i){if(void 0===n&&(n=!0),null==this.optimizer_)throw new d("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===Fe?a.push(s.slice(0,s.length-1).concat([1])):a.push(s)}if(function(t,e,n){var i=C(t.map(function(t){return t.shape[0]}));i.sort();var a=C(e.map(function(t){return t.shape[0]}));if(a.sort(),i.length>1)throw new h("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(a.length>1)throw new h("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(i.length>0&&a.length>0&&!r.util.arraysEqual(i,a))throw new h("Input Tensors should have the same number of samples as target Tensors. Found "+i[0]+" input sample(s) and "+a[0]+" target sample(s).")}(t=Nn(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=Nn(e,this.feedOutputNames,a,!1,"target")),function(t,e,n){for(var r=[Ie,je,Re],i=0;i<t.length;++i){var a=t[i],o=e[i],s=n[i];if(null!=o){if(o===Re&&1===a.shape[a.shape.length-1])throw new h("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),c=s.slice(1),l=0;l<u.length;++l){var f=u[l],d=c[l];if(null!=d&&f!==d)throw new h("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!=i&&i>0&&t[0].shape[0]%i!=0)throw new h("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+i+". 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),u(this,void 0,void 0,function(){var o,s,u,l,f,d,h,p;return c(this,function(c){switch(c.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];f=dn(r,this.outputNames),l=[],d=0,c.label=1;case 1:return d<f.length?(p=(h=l).push,[4,hn(u[d],null,f[d])]):[3,4];case 2:p.apply(h,[c.sent()]),c.label=3;case 3:return++d,[3,1];case 4:return[2,[s,u,l]]}})})},e.prototype.testLoop=function(t,e,n,i,a){var o=this;return void 0===i&&(i=0),Object(r.tidy)(function(){var s=o.checkNumSamples(e,n,a,"steps"),u=[];if(i>0)throw new p("Verbose mode is not implemented yet.");if(null!=a)throw new p("steps mode in testLoop() is not implemented yet");for(var c=_n(s,n),l=Object(r.tensor1d)(lt(0,s)),f=0;f<c.length;++f){var d=c[f][0],h=c[f][1],m=ht(l,d,h-d),g=kn(e,m),v=t(g);if(0===f)for(var y=0;y<v.length;++y)u.push(Object(r.scalar)(0));for(y=0;y<v.length;++y){var b=v[y];u[y]=Object(r.add)(u[y],Object(r.mul)(h-d,b))}}for(y=0;y<u.length;++y)u[y]=Object(r.div)(u[y],s);return u})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;y(t,r)>1&&(i+="_"+y(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=[],i=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=e.slice(t.inputs.length+t.outputs.length,t.inputs.length+2*t.outputs.length),s=[],u=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer_.minimize(function(){for(var e=[],u=0;u<t.inputs.length;++u)e.push({key:t.inputs[u],value:i[u]});var c,l=new on(e),f=cn(t.outputs,l,{training:!0});for(u=0;u<t.lossFunctions.length;++u){var d=(0,t.lossFunctions[u])(a[u],f[u]);null!=o[u]&&(d=pn(d,o[u]));var h=Object(r.mean)(d);n.push(h),c=0===u?d:Object(r.add)(c,d)}for(u=0;u<t.metricsTensors.length;++u){var p=void 0;if(t.outputs.length>1&&u<t.outputs.length)p=n[u];else{var m=t.metricsTensors[u][0],g=t.metricsTensors[u][1];p=Object(r.mean)(m(a[g],f[g]))}Object(r.keep)(p),s.push(p)}return c=Object(r.mean)(c),t.calculateLosses().forEach(function(t){c=Object(r.add)(c,t)}),c},!0,u)].concat(s)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return Object(r.tidy)(function(){for(var n,i=[],a=e.slice(0,t.inputs.length),o=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),s=[],u=0;u<t.inputs.length;++u)s.push({key:t.inputs[u],value:a[u]});var c=new on(s),l=cn(t.outputs,c);for(u=0;u<t.lossFunctions.length;++u){var f=t.lossFunctions[u],d=Object(r.mean)(f(o[u],l[u]));n=0===u?d:Object(r.add)(n,d),i.push(n)}for(u=0;u<t.metricsTensors.length;++u){var h=t.metricsTensors[u][0],p=t.metricsTensors[u][1],m=Object(r.mean)(h(o[p],l[p]));i.push(m)}return i})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),u(this,void 0,void 0,function(){return c(this,function(r){return[2,En(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return[2,yn(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return u(this,void 0,void 0,function(){var n,i,a,o,s,u,l,f,d;return c(this,function(c){switch(c.label){case 0:return[4,this.standardizeUserData(t,e)];case 1:n=c.sent(),i=n[0],a=n[1],o=this.makeTrainFunction(),s=o(i.concat(a)),u=[],l=0,f=s,c.label=2;case 2:return l<f.length?[4,f[l].data()]:[3,5];case 3:d=c.sent(),u.push(d[0]),c.label=4;case 4:return l++,[3,2];case 5:return Object(r.dispose)(s),[2,b(u)]}})})},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=Object(r.memory)().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Object(r.memory)().numTensors}return e},e.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=w(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 w(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]=w(i[s])}}return t},e.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[w(Ye(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(t){return w(Ye(t))});var t={};for(var e in this.metrics)t[e]=w(Ye(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=Ne(an(t.optimizer_config));if("string"==typeof t.loss)e=k(t.loss);else if(Array.isArray(t.loss))e=t.loss.map(function(t){return k(t)});else if(null!=t.loss)for(var i in e={},t.loss)e[i]=k(t.loss[i]);if(Array.isArray(t.metrics))n=t.metrics.map(function(t){return k(t)});else if(null!=t.metrics)for(var i in n={},t.metrics)n[i]=k(t.metrics[i]);this.compile({loss:e,metrics:n,optimizer:r})},e.prototype.save=function(t,e){return u(this,void 0,void 0,function(){var n,i,a,o,s,u,l,f,d,p,m,g,v,y;return c(this,function(c){switch(c.label){case 0:if("string"==typeof t){if(0===(n=r.io.getSaveHandlers(t)).length)throw new h("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new h("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new h("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,r.io.encodeWeights(this.getNamedWeights(e))];case 1:return i=c.sent(),a=!1,o=null,s=this.toJSON(o,a),u={modelTopology:s,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.7.2",convertedBy:null},null!=e&&e.includeOptimizer&&null!=this.optimizer?(u.trainingConfig=this.getTrainingConfig(),l="optimizer",g=(m=r.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,g.apply(m,[c.sent(),l])];case 3:f=c.sent(),d=f.data,p=f.specs,(y=i.specs).push.apply(y,p),i.data=r.io.concatenateArrayBuffers([i.data,d]),c.label=4;case 4:return null!=this.userDefinedMetadata&&(v=!0,Ze(this.userDefinedMetadata,this.name,v),u.userDefinedMetadata=this.userDefinedMetadata),u.weightData=i.data,u.weightSpecs=i.specs,[2,t.save(u)]}})})},e.prototype.setUserDefinedMetadata=function(t){Ze(t,this.name),this.userDefinedMetadata=t},e.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},e.className="Model",e}(function(t){function e(n){var r=t.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=Qt(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],C(r.inputs).length!==r.inputs.length)throw new h("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}));C(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. 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Input "+p+" (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 m=0,g=r.outputLayers;m<g.length;m++)s=g[m],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 y={},b={},x={},w={},k={},_=[],E=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 d("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 k||(k[a.id]=Object.keys(k).length),-1===i.indexOf(u)&&i.push(u);for(var c=u.inboundLayers.length,l=0;l<c;l++){var f=u.inputTensors[l],h=u.inboundLayers[l],p=u.nodeIndices[l],m=u.tensorIndices[l];E(f,n,i,h,p,m)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);_.push(u)}},O=[],A=[],N=0,T=r.outputs;N<T.length;N++){var I=T[N];E(I,O,A)}for(var D=0,M=_.slice().reverse();D<M.length;D++){b[(et=M[D]).id]=et,et.id in y||(y[et.id]=0);var R=y[et.id],F=null==x[et.outboundLayer.id]?0:x[et.outboundLayer.id];for(R=Math.max(R,F),x[et.outboundLayer.id]=R,w[et.outboundLayer.id]=et.outboundLayer,y[et.id]=R,p=0;p<et.inboundLayers.length;p++){var j=et.inboundLayers[p],P=(u=et.nodeIndices[p],j.inboundNodes[u]),L=null==y[P.id]?0:y[P.id];y[P.id]=Math.max(R+1,L),b[P.id]=P}}var z={};for(var B in y)(R=y[B])in z||(z[R]=[]),z[R].push(b[B]);var U={};for(var W in x)(R=x[W])in U||(U[R]=[]),U[R].push(w[W]);var V=Object.keys(U).map(function(t){return parseInt(t,10)}).sort(S);r.layers=[];for(var q=0,H=V;q<H.length;q++){var G=U[R=H[q]];G.sort(function(t,e){var n=k[t.id],r=k[e.id];return n<r?-1:n>r?1:0});for(var $=0,K=G;$<K.length;$++)(s=K[$])instanceof e&&r.internalContainerRefs.push(s),r.layers.push(s)}r.layersByDepth=U,V=Object.keys(z).map(function(t){return parseInt(t,10)}).sort(S);for(var X=r.inputs.slice(),Y=[],J=0,Z=V;J<Z.length;J++)for(var Q=0,tt=z[R=Z[J]];Q<tt.length;Q++){var et;if(null!=(s=(et=tt[Q]).outboundLayer)){for(var nt=0,rt=et.inputTensors;nt<rt.length;nt++)if(I=rt[nt],-1===X.indexOf(I))throw new d("Graph disconnected: cannot obtain value for tensor "+I+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+Y);for(var it=0,at=et.outputTensors;it<at.length;it++)I=at[it],X.push(I);Y.push(s.name)}}r.nodesByDepth=z;for(var ot=r.layers.map(function(t){return t.name}),st=function(t){var e=ot.filter(function(e){return e===t}).length;if(1!==e)throw new d('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ot))},ut=0,ct=ot;ut<ct.length;ut++)st(ct[ut]);return r.outboundNodes=[],r.inboundNodes=[],new de({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 a(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 h("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 h("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var c=[];for(var l in t){if(null!=n[l])c.push([n[l],t[l]]);else if(e)throw new h("Provided weight data has no target variable: "+l);delete n[l]}if(e){var f=[];for(var d in n)f.push(d);if(f.length>0)throw new h(f.length+" of "+r+" weights are not set: "+f)}ue(c)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.7.2",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 w(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];rn(n,a,o)?r.push(o):r.push(t(o,n))}return r}for(var s={},u=0,c=Object.keys(e);u<c.length;u++){var l=c[u],f=e[l];s[w(l)]="name"!==l&&"className"!==l||"string"!=typeof f?t(f,l):f}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){t=x(t);for(var r=new on,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return cn(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return Object(r.tidy)(function(){var r;return t=x(t),r=null==e?g(null,t.length):x(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=ee(t);if(e.length!==this.inputLayers.length)throw new h("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[C=i.name+"_0_0"]=a}var o=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(S);if(o.length>1)for(var s=0,u=o;s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){var d=f[l];if(i=d.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var p=[],m=0;m<d.inboundLayers.length;m++){var g=d.inboundLayers[m],y=d.nodeIndices[m],x=d.tensorIndices[m],w=n[C=g.name+"_"+y+"_"+x];p.push(w)}var k=ee(i.computeOutputShape(b(p))),_=i.inboundNodes.indexOf(d);for(m=0;m<k.length;m++)n[C=i.name+"_"+_+"_"+m]=k[m]}}var E=[],O=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],_=this.outputLayersNodeIndices[r],x=this.outputLayersTensorIndices[r];var C=i.name+"_"+_+"_"+x;O.push(C)}for(r=0;r<O.length;r++){var A=O[r];v(A in n),E.push(n[A])}return b(E)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=g(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(S);s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){for(var d=f[l],h=d.outboundLayer,m=d.inputTensors,y=d.outputTensors,b=new Array,w=0,k=m;w<k.length;w++)(i=k[w]).id in n&&b.push(n[i.id]);if(b.length===m.length){var _={},E=void 0,O=void 0,C=void 0,A=void 0;if(null!=d.callArgs&&(_=d.callArgs),1===b.length){var N=b[0],T=N[0],I=N[1];null==_.mask&&(_.mask=I),C=x(h.call(T,_)),A=x(h.computeMask(T,I)),E=[T],O=[I]}else E=b.map(function(t){return t[0]}),O=b.map(function(t){return t[1]}),null==_.mask&&(_.mask=O),C=x(h.call(E,_)),A=x(h.computeMask(E,O));if(h.activityRegularizer)throw new p("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<y.length;++r)i=y[r],a=C[r],o=A[r],n[i.id]=[a,o]}}for(var D=[],M=[],R=[],F=0,j=this.outputs;F<j.length;F++){v((i=j[F]).id in n,"Could not compute output "+i.name+" : "+i.id);var P=n[i.id],L=P[0];o=P[1],R.push(L.shape),D.push(L),M.push(o)}return[D,M,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 h("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 h("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 h("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return Object(r.tidy)(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=[],c=0;c<x.inboundNodes.length;c++){var l=x.inboundNodes[c],f=e.nodeKey(x,c),d={};if(this.containerNodes.has(f)){if(l.callArgs)try{JSON.stringify(l.callArgs),d=l.callArgs}catch(t){console.warn("Layer "+x.name+" was passed non-serializable keyword arguments: "+l.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),d={}}if(l.inboundLayers.length>0){for(var h=[],p=0;p<l.inboundLayers.length;p++){var m=l.inboundLayers[p],g=l.nodeIndices[p],v=l.tensorIndices[p];null==(k=n[e.nodeKey(m,g)])&&(k=0),h.push([m.name,k,v,d])}u.push(h)}}}var y={};y.name=x.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}t.layers=r;var b=[];for(p=0;p<this.inputLayers.length;p++){var x=this.inputLayers[p];g=this.inputLayersNodeIndices[p],f=e.nodeKey(x,g),this.containerNodes.has(f)&&(null!==(k=n[f])&&void 0!==k||(k=0),v=this.inputLayersTensorIndices[p],b.push([x.name,k,v]))}t.inputLayers=b;var w=[];for(p=0;p<this.outputLayers.length;p++){var k;if(x=this.outputLayers[p],g=this.outputLayersNodeIndices[p],f=e.nodeKey(x,g),this.containerNodes.has(f))null!==(k=n[f])&&void 0!==k||(k=0),v=this.outputLayersTensorIndices[p],w.push([x.name,k,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],c=u[0],l=u[1],f=u[2];if(n=null==u[3]?{}:u[3],!(c in i))return void o(t,e);var d=i[c];if(d.inboundNodes.length<=l)return void o(t,e);var h=d.inboundNodes[l];r.push(h.outputTensors[f])}r.length>0&&t.apply(b(r),n)}function u(t){var n=t.name,a=Ne(t,null!=e.customObjects?e.customObjects:{});a.setFastWeightInitDuringBuild(r),i[n]=a,t.inboundNodes.forEach(function(t){if(!(t instanceof Array))throw new h("Corrupted configuration, expected array for nodeData: "+t);o(a,t)})}for(var c=e.name,l=e.layers,f=0,d=l;f<d.length;f++)u(g=d[f]);for(;!A(a);)for(var p=0,m=l;p<m.length;p++){var g=m[p];if((M=i[g.name]).name in a){var y=a[M.name];delete a[M.name];for(var x=0,w=y;x<w.length;x++)s(M,w[x])}}for(var k=[],_=[],E=0,O=e.inputLayers;E<O.length;E++){var S=(g=O[E])[0],C=g[1],N=g[2];v(S in i);var T=(M=i[S]).inboundNodes[C].outputTensors;k.push(T[N])}for(var I=0,D=e.outputLayers;I<D.length;I++){var M;S=(g=D[I])[0],C=g[1],N=g[2],v(S in i),T=(M=i[S]).inboundNodes[C].outputTensors,_.push(T[N])}return new t({inputs:k,outputs:_,name:c})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new h("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;Object(r.tidy)(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(pe));function Dn(t,e){return u(this,void 0,void 0,function(){var n;return c(this,function(i){if(null==e&&(e={}),"string"==typeof t){if(0===(n=r.io.getLoadHandlers(t,e.onProgress)).length)n.push(r.io.browserHTTPRequest(t,e));else if(n.length>1)throw new h("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return u(this,void 0,void 0,function(){var i,a,o,s,u,l,f,d,p;return c(this,function(c){switch(c.label){case 0:if(null==n&&(n={}),null==t.load)throw new h("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(i=c.sent(),null!=(a=i.modelTopology).model_config&&(a=a.model_config),o=null==n.strict||n.strict,s=null!=i.weightData&&null!=i.weightSpecs&&o,u=Ne(an(a),e,s),null!=(l=i.trainingConfig)&&u.loadTrainingConfig(l),null!=i.userDefinedMetadata&&u.setUserDefinedMetadata(i.userDefinedMetadata),null==i.weightData)return[3,4];if(null==i.weightSpecs)throw new h("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return f=function(t,e){var n=r.io.decodeWeights(t,e),i={},a=[];return e.forEach(function(t){"optimizer"===t.group?a.push({name:t.name,tensor:n[t.name]}):i[t.name]=n[t.name]}),{modelWeights:i,optimizerWeights:a}}(i.weightData,i.weightSpecs),d=f.modelWeights,p=f.optimizerWeights,u.loadWeights(d,o),null!=u.optimizer&&p.length>0?[4,u.optimizer.setWeights(p)]:[3,3];case 2:c.sent(),c.label=3;case 3:Object(r.dispose)(d),Object(r.dispose)(p.map(function(t){return t.tensor})),c.label=4;case 4:return[2,u]}})})}(t,void 0,e)]})})}r.serialization.registerClass(In);var Mn=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:Qt("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 a(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new h("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 In;if(r){if(1!==(n=t).outputs.length)throw new h("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 h("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 h("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=ve({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 h("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 h("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 c=u[s];-1===a.indexOf(c)&&a.push(c)}return a}(this.outputs[0])}this.inboundNodes=[],new de({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:g(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(re(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 In({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 d("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){if(!this.built)throw new d("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 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t=ne(t),Object(r.prelu)(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:$t(this.alphaInitializer),alphaRegularizer:ar(this.alphaRegularizer),alphaConstraint:B(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(pe);r.serialization.registerClass(lr);var fr=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 p("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 a(e,t),e.prototype.call=function(t,e){var n=ne(t);return Object(r.elu)(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}(pe);r.serialization.registerClass(fr);var dr=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 a(e,t),e.prototype.call=function(t,e){var n=ne(t);return n.mul(ft(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}(pe);r.serialization.registerClass(dr);var hr=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 Yn).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return a(e,t),e.prototype.call=function(t,e){var n=ne(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}(pe);function pr(t,e,n){if("number"==typeof t)return g(t,e);if(t.length!==e)throw new h("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(!at(i))throw new h("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 mr(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 gr(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+ct([n-e,0]);else{if("same"!==r)throw new h("Unsupport padding mode: "+r+".");t*=e}return t}function vr(t,e){return Object(r.tidy)(function(){return X(e),"channelsFirst"===e?Object(r.transpose)(t,[0,2,3,1]):t})}function yr(t,e){return Object(r.tidy)(function(){return X(e),"channelsFirst"===e?Object(r.transpose)(t,[0,2,3,4,1]):t})}function br(t,e,n,i,a,o,s,u){return void 0===i&&(i=[1,1]),void 0===a&&(a="valid"),void 0===u&&(u=null),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),X(o),3!==t.rank&&4!==t.rank)throw new h("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new h("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+t.rank+".");var c=vr(t,o);if("causal"===a)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return c=r.fused.conv2d({x:c,filter:e,strides:i,pad:"same"===a?"same":"valid",dilations:s,dataFormat:"NHWC",bias:n,activation:u}),"channelsFirst"===o&&(c=Object(r.transpose)(c,[0,3,1,2])),c})}r.serialization.registerClass(hr);var xr=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,I(i.rank,"rank"),1!==i.rank&&2!==i.rank&&3!==i.rank)throw new p("Convolution layer for rank other than 1, 2, or 3 ("+i.rank+") is not implemented yet.");if(i.kernelSize=pr(r.kernelSize,n,"kernelSize"),i.strides=pr(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,Y(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,X(i.dataFormat),i.activation=tr(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=Kt(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=W(r.biasConstraint),i.biasRegularizer=sr(r.biasRegularizer),i.activityRegularizer=sr(r.activityRegularizer),i.dilationRate=pr(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new h("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 h("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 h("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(i.dilationRate));return i}return a(e,t),e.verifyArgs=function(t){if(v("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!T(t.kernelSize,"number",1,3))throw new h("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:Zn(this.activation),useBias:this.useBias,biasInitializer:$t(this.biasInitializer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),biasConstraint:B(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(pe),wr=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,I(i.filters,"filters"),i.kernelInitializer=Kt(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=W(r.kernelConstraint),i.kernelRegularizer=sr(r.kernelRegularizer),i}return a(e,t),e.prototype.build=function(t){var e;t=re(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new h("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 Object(r.tidy)(function(){var e;t=ne(t);var i=null==n.bias?null:n.bias.read(),a=D(n.activation.getClassName());if(null!=a&&2===n.rank)e=br(t,n.kernel.read(),i,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)e=function(t,e,n,i,a,o,s){return void 0===i&&(i=1),void 0===a&&(a="valid"),void 0===s&&(s=1),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),X(o),3!==t.shape.length)throw new h("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new h("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new h("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===o&&(t=Object(r.transpose)(t,[0,2,1])),"causal"===a)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var u=Object(r.conv1d)(t,e,i,"same"===a?"same":"valid","NWC",s);return null!=n&&(u=Et(u,n)),u})}(t,n.kernel.read(),i,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=br(t,n.kernel.read(),i,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new p("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,i,a,o,s){return void 0===i&&(i=[1,1,1]),void 0===a&&(a="valid"),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),X(o),4!==t.rank&&5!==t.rank)throw new h("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new h("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var u=yr(t,o);if("causal"===a)throw new p("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return u=Object(r.conv3d)(u,e,i,"same"===a?"same":"valid","NDHWC",s),null!=n&&(u=Et(u,n)),"channelsFirst"===o&&(u=Object(r.transpose)(u,[0,4,1,2,3])),u})}(t,n.kernel.read(),i,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(e=n.activation.apply(e))}return e})},e.prototype.computeOutputShape=function(t){t=re(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=mr(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:$t(this.kernelInitializer),kernelRegularizer:ar(this.kernelRegularizer),kernelConstraint:B(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 h("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(xr),kr=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return a(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&&!T(t.kernelSize,"number",1,2))throw new h("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(wr);r.serialization.registerClass(kr);var _r=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return a(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 h("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(wr);r.serialization.registerClass(_r);var Er=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new ce({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new h("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return a(e,t),e.prototype.build=function(t){var e;if(4!==(t=re(t)).length)throw new h("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 h("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 ce({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=ne(t);if(4!==e.shape.length)throw new h("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var i,a,o=e.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,a=3):(i=1,a=2);var u=o[i],c=o[a],l=n.kernelSize[0],f=n.kernelSize[1],d=n.strides[0],p=n.strides[1],m=[s,gr(u,d,l,n.padding),gr(c,p,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Object(r.transpose)(e,[0,2,3,1]));var g=Object(r.conv2dTranspose)(e,n.kernel.read(),m,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(g=Object(r.transpose)(g,[0,3,1,2])),null!=n.bias&&(g=Et(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=re(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]=gr(i[n],s,a,this.padding),i[r]=gr(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}(kr);r.serialization.registerClass(Er);var Or=function(t){function e(e){return t.call(this,2,e)||this}return a(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 h("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new h("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 h("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=Kt(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=sr(n.depthwiseRegularizer),r.depthwiseConstraint=W(n.depthwiseConstraint),r.pointwiseInitializer=Kt(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=sr(n.pointwiseRegularizer),r.pointwiseConstraint=W(n.pointwiseConstraint),r}return a(e,t),e.prototype.build=function(t){var e;if((t=re(t)).length<this.rank+2)throw new h("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 h("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 ce({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e;if(t=ne(t),1===n.rank)throw new p("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Object(r.transpose)(t,[0,2,3,1])),e=Object(r.separableConv2d)(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=Et(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Object(r.transpose)(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=$t(this.depthwiseInitializer),e.pointwiseInitializer=$t(this.pointwiseInitializer),e.depthwiseRegularizer=ar(this.depthwiseRegularizer),e.pointwiseRegularizer=ar(this.pointwiseRegularizer),e.depthwiseConstraint=B(this.depthwiseConstraint),e.pointwiseConstraint=B(this.pointwiseConstraint),e},e.className="SeparableConv",e}(wr));r.serialization.registerClass(Or);var Sr=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return a(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&&!T(t.kernelSize,"number",1,1))throw new h("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(wr);r.serialization.registerClass(Sr);var Cr=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 a(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 Object(r.tidy)(function(){return t=ne(t),"channelsLast"===n.dataFormat?mt(mt(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):mt(mt(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}(pe);r.serialization.registerClass(Cr);var Ar=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 a(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 Object(r.tidy)(function(){var e=ne(t),i=e.shape;if("channelsFirst"===n.dataFormat){e=Object(r.transpose)(e,[0,2,3,1]);var a=n.size[0]*i[2],o=n.size[1]*i[3],s=e.resizeNearestNeighbor([a,o]);return Object(r.transpose)(s,[0,3,1,2])}return a=n.size[0]*i[1],o=n.size[1]*i[2],e.resizeNearestNeighbor([a,o])})},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}(pe);r.serialization.registerClass(Ar);var Nr=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=Kt(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=W(e.depthwiseConstraint),n.depthwiseRegularizer=sr(e.depthwiseRegularizer),n}return a(e,t),e.prototype.build=function(t){if((t=re(t)).length<4)throw new h("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 h("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 Object(r.tidy)(function(){var e=function(t,e,n,i,a,o){return void 0===n&&(n=[1,1]),void 0===i&&(i="valid"),Object(r.tidy)(function(){null==a&&(a="channelsLast"),X(a);var s=vr(t,a);if(4!==t.rank)throw new h("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new h("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return s=Object(r.depthwiseConv2d)(s,e,n,"same"===i?"same":"valid","NHWC",o),"channelsFirst"===a&&(s=Object(r.transpose)(s,[0,3,1,2])),s})}(t=ne(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=Et(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=re(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=mr(e,this.kernelSize[0],this.padding,this.strides[0]),a=mr(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=$t(this.depthwiseInitializer),e.depthwiseRegularizer=ar(this.depthwiseRegularizer),e.depthwiseConstraint=B(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(xr);r.serialization.registerClass(Nr);var Tr=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 a(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 Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);if(0<n.rate&&n.rate<1){var i=null!=e.training&&e.training,a=n.getNoiseShape(r);return St(function(){return Ot(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}(pe);r.serialization.registerClass(Tr);var Ir=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[{ndim:3}],n}return a(e,t),e.prototype.getNoiseShape=function(t){var e=t.shape;return[e[0],1,e[2]]},e.className="SpatialDropout1D",e}(Tr);r.serialization.registerClass(Ir);var Dr=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,I(n.units,"units"),n.activation=tr(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=Kt(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Kt(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=W(e.kernelConstraint),n.biasConstraint=W(e.biasConstraint),n.kernelRegularizer=sr(e.kernelRegularizer),n.biasRegularizer=sr(e.biasRegularizer),n.activityRegularizer=sr(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return a(e,t),e.prototype.build=function(t){var e,n=(t=re(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=re(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r,i=ne(t),a=D(n.activation.getClassName());return null!=a?r=xt(i,n.kernel.read(),a,n.bias?n.bias.read():null):(r=xt(i,n.kernel.read()),null!=n.bias&&(r=Et(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:Zn(this.activation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),biasInitializer:$t(this.biasInitializer),kernelRegularizer:ar(this.kernelRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),biasConstraint:B(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(pe);r.serialization.registerClass(Dr);var Mr=function(t){function e(e){var n=this;return e=e||{},(n=t.call(this,e)||this).inputSpec=[{minNDim:3}],n.dataFormat=e.dataFormat,n}return a(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=re(t)).slice(1);e<n.length;e++)if(null==n[e])throw new h('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],ot(t,1)]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var i=[0],a=2;a<r.rank;++a)i.push(a);i.push(1),r=r.transpose(i)}return function(t){if(t.rank<=1)throw new h("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],ot(t.shape,1)];return t.reshape(e)}(r)})},e.prototype.getConfig=function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Flatten",e}(pe);r.serialization.registerClass(Mr);var Rr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=tr(e.activation),n}return a(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:Zn(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(pe);r.serialization.registerClass(Rr);var Fr=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return a(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return function(t,e){return Object(r.tidy)(function(){if(2!==t.shape.length)throw new h("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return yt(dt(t,1),[1,e,1])})}(t=ne(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}(pe);r.serialization.registerClass(Fr);var jr=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 a(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 h("Can only specifiy one unknown dimension.");a=o}else i*=s}var u=ot(t);if(null!==a){if(0===i||u%i!=0)throw new h(n);r[a]=u/i}else if(u!==i)throw new h(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 Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(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}(pe);r.serialization.registerClass(jr);var Pr=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 i=lt(1,e.dims.length+1);if(!r.util.arraysEqual(e.dims.slice().sort(),i))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 ce({ndim:n.dims.length+1})],n}return a(e,t),e.prototype.computeOutputShape=function(t){var e=(t=re(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return Object(r.transpose)(ne(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}(pe);r.serialization.registerClass(Pr);var Lr=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 a(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=ne(t);return Object(r.any)(Object(r.notEqual)(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var i=ne(t),a=Object(r.any)(Object(r.notEqual)(i,n.maskValue),-1,!0);return i.mul(a.asType(i.dtype))})},e.className="Masking",e}(pe);r.serialization.registerClass(Lr);var zr=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(x(e.inputLength))}return n.inputDim=e.inputDim,I(n.inputDim,"inputDim"),n.outputDim=e.outputDim,I(n.outputDim,"outputDim"),n.embeddingsInitializer=Kt(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=sr(e.embeddingsRegularizer),n.activityRegularizer=sr(e.activityRegularizer),n.embeddingsConstraint=W(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return a(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 Object(r.tidy)(function(){return n.maskZero?(t=ne(t),Object(r.notEqual)(t,Object(r.zerosLike)(t))):null})},e.prototype.computeOutputShape=function(t){if(t=re(t),null==this.inputLength)return t.concat([this.outputDim]);var e=x(this.inputLength);if(e.length!==t.length-1)throw new h('"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 h('"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 Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);return"int32"!==r.dtype&&(r=ft(r,"int32")),wt(n.embeddings.read(),r.as1D()).reshape(re(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:$t(this.embeddingsInitializer),embeddingsRegularizer:ar(this.embeddingsRegularizer),activityRegularizer:ar(this.activityRegularizer),embeddingsConstraint:B(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(pe);r.serialization.registerClass(zr);var Br=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return a(e,t),e.prototype.mergeFunction=function(t){throw new p},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 h("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=[re(t)]),(t=t).length<2)throw new h("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=C(e)).length>1)throw new h("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===C(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){if(t=t,n.reshapeRequired){var e=[],i=t.map(function(t){return t.rank});if(-1===i.indexOf(null)){for(var a=ct(i),o=0,s=t;o<s.length;o++){for(var u=(h=s[o]).rank,c=0;c<a-u;++c)h=dt(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,f=0,d=t;f<d.length;f++){var h;if(null==(u=(h=d[f]).rank)){var p=h.shape,m=p[0],g=p.slice(1).concat([m]),v=h.reshape([m].concat(ot(p.slice(1))));v=(v=Object(r.transpose)(v,[1,0])).reshape(g),e.push(v),l=!0}else if(u>1){var y=lt(1,u).concat([0]);e.push(Object(r.transpose)(h,y)),l=!0}else e.push(h)}var b=n.mergeFunction(e),x=b.rank;if(l)if(null==x){var w=b.shape;g=[m=w[w.length-1]].concat(w.slice(0,w.length-1)),b=Object(r.transpose)(b.reshape([-1,m]),[1,0]).reshape(g)}else x>1&&(y=[x-1].concat(lt(0,x-1)),b=Object(r.transpose)(b,y));return b}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=C(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return Object(r.tidy)(function(){if(null==e)return null;if(!Array.isArray(e))throw new h("`mask` should be an Array");if(!Array.isArray(t))throw new h("`inputs` should be an Array");if(e.length!==t.length)throw new h("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:Object(r.expandDims)(t,0)}))[0],i=1;i<e.length-1;++i)n=Object(r.logicalAnd)(n,e[i]);return n})},e}(pe),Ur=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.add)(e,t[n]);return e})},e.className="Add",e}(Br);r.serialization.registerClass(Ur);var Wr=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.mul)(e,t[n]);return e})},e.className="Multiply",e}(Br);r.serialization.registerClass(Wr);var Vr=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.add)(e,t[n]);return Object(r.mul)(1/t.length,e)})},e.className="Average",e}(Br);r.serialization.registerClass(Vr);var qr=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0],n=1;n<t.length;++n)e=Object(r.maximum)(e,t[n]);return e})},e.className="Maximum",e}(Br);r.serialization.registerClass(qr);var Hr=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0],n=1;n<t.length;++n)e=Object(r.minimum)(e,t[n]);return e})},e.className="Minimum",e}(Br);r.serialization.registerClass(Hr);var Gr=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 a(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new h("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,i=t=t;n<i.length;n++)if(null!=(f=i[n])){e=!1;break}if(!e){for(var a=[],o=0;o<t.length;++o){var s=t[o].slice();s.splice(this.axis,1);for(var u=!1,c=0,l=a;c<l.length;c++){var f=l[c];if(r.util.arraysEqual(f,s)){u=!0;break}}u||a.push(s)}if(a.length>1)throw new h("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 Object(r.tidy)(function(){return gt(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new h("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 h("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new h("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new h("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return Object(r.tidy)(function(){var i=!0;if(e.forEach(function(t){null==t||(i=!1)}),i)return null;for(var a=[],o=0;o<t.length;++o)null==e[o]?a.push(Object(r.onesLike)(t[o]).asType("bool")):e[o].rank<t[o].rank?a.push(Object(r.expandDims)(e[o],-1)):a.push(e[o]);var s=Object(r.concat)(a,n.axis);return Object(r.all)(s,-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}(Br);function $r(t,e){for(;t<0;)t+=e;return t}r.serialization.registerClass(Gr);var Kr=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 a(e,t),e.prototype.build=function(t){r.util.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 p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(e,n);if(e[i[0]]!==n[i[1]])throw new h("Dimension incompatibility: "+e[i[0]]+" !== "+n[i[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new h("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],i=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return $r(e,t[n].shape.length)}):[$r(this.axes,n.shape.length),$r(this.axes,i.shape.length)],this.normalize&&(n=Te(n,e[0]),i=Te(i,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new p("batchDot is not implemented for tensors of 4D or higher rank yet");if(r.util.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),r.util.assert(t.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length}),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new p("batchDot is not implemented for complex64-type Tensors yet.");var i=t.shape.length,a=e.shape.length;null==n&&(n=[i-1,a-2]);var o=n;return Object(r.tidy)(function(){var n,r;if(i>a){n=i-a;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(a>i){for(n=a-i,s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else n=0;if(2===t.shape.length&&2===e.shape.length)r=o[0]===o[1]?t.mulStrict(e).sum(o[0]):t.transpose([1,0]).mulStrict(e).sum(o[1]);else{var c=o[0]!==t.shape.length-1,l=o[1]===e.shape.length-1;r=t.matMul(e,c,l)}if(n>0){var f,d=[];for(u=f=i>a?i+a-3:i-1;u<f+n;++u)d.push(u);r=r.squeeze(d)}return 1===r.shape.length&&(r=r.expandDims(1)),r})}(n,i,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[$r(this.axes,t.length),$r(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){r.util.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 p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(e,n);e.splice(i[0],1),n.splice(i[1],1),n.splice(0,1);var a=e.concat(n);return 1===a.length&&a.push(1),a},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}(Br);r.serialization.registerClass(Kr);var Xr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return a(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 Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);return St(function(){return bt(r.shape,0,n.stddev).add(r)},function(){return r},e.training||!1)})},e.className="GaussianNoise",e}(pe);r.serialization.registerClass(Xr);var Yr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return a(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 Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=ne(t);return n.rate>0&&n.rate<1?St(function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(bt(r.shape,1,t))},function(){return r},e.training||!1):r})},e.className="GaussianDropout",e}(pe);r.serialization.registerClass(Yr);var Jr=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 a(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||ne(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 Object(r.tidy)(function(){if(n.rate<1&&n.rate>0){var i=n._getNoiseShape(t);return St(function(){var e=ne(t),a=-1.7580993408473766,o=Object(r.greaterEqual)(Object(r.randomUniform)(i),n.rate);o=ft(o,"float32");var s=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),u=-s*a*n.rate;return e.mul(o).add(o.add(-1).mul(a)).mul(s).add(u)},function(){return ne(t)},e.training||!1)}return t})},e.className="AlphaDropout",e}(pe);function Zr(t,e,n,i,a,o){var s;if(void 0===o&&(o=.001),2===t.rank)s=Object(r.batchNorm2d)(t,e,n,i,a,o);else if(3===t.rank)s=Object(r.batchNorm3d)(t,e,n,i,a,o);else{if(4!==t.rank)throw new p("batchNormalization is not implemented for array of rank "+t.rank+" yet");s=Object(r.batchNorm4d)(t,e,n,i,a,o)}return s}function Qr(t,e,n,i,a){return void 0===a&&(a=.001),r.util.arraysEqual(i.slice().sort(),lt(0,t.rank-1))?function(t,e,n,i,a){return void 0===a&&(a=.001),Object(r.tidy)(function(){var o=Object(r.moments)(t,i),s=o.mean,u=o.variance;return[Zr(t,s,u,n,e,a),s,u]})}(t,e,n,i,a):function(t,e,n,i,a){return void 0===a&&(a=.001),Object(r.tidy)(function(){for(var o=Object(r.moments)(t,i),s=o.mean,u=o.variance,c=[],l=0,f=lt(0,t.rank);l<f.length;l++){var d=f[l];-1!==i.indexOf(d)?c.push(1):c.push(t.shape[d])}var h=s.reshape(c),p=u.reshape(c),m=null==e?null:e.reshape(c),g=null==n?null:n.reshape(c);return[Zr(t,h,p,g,m,a),s,u]})}(t,e,n,i,a)}r.serialization.registerClass(Jr);var ti=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=Kt(e.betaInitializer||"zeros"),n.gammaInitializer=Kt(e.gammaInitializer||"ones"),n.movingMeanInitializer=Kt(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Kt(e.movingVarianceInitializer||"ones"),n.betaConstraint=W(e.betaConstraint),n.gammaConstraint=W(e.gammaConstraint),n.betaRegularizer=sr(e.betaRegularizer),n.gammaRegularizer=sr(e.gammaRegularizer),n}return a(e,t),e.prototype.build=function(t){var e;t=re(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new h("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new ce({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 Object(r.tidy)(function(){var i=null!=e.training&&e.training,a=ne(t),o=a.shape,s=o.length,u=lt(0,s),c=n.axis>=0?n.axis:n.axis+s;u.splice(c,1);var l=g(1,s);l[c]=o[c];var f=u.slice();f.sort();var d=!r.util.arraysEqual(f,lt(0,s).slice(0,s-1));if(!i)return function(){if(d){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return Zr(a,t,e,r,i,n.epsilon)}return Zr(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=Qr(a,n.gamma.read(),n.beta.read(),u,n.epsilon),p=h[0],m=h[1],v=h[2],y=function(t,e,n){Object(r.tidy)(function(){var r=1-n,i=t.read(),a=i.sub(e).mul(r);t.write(i.sub(a))})};return y(n.movingMean,m,n.momentum),y(n.movingVariance,v,n.momentum),p})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:$t(this.betaInitializer),gammaInitializer:$t(this.gammaInitializer),movingMeanInitializer:$t(this.movingMeanInitializer),movingVarianceInitializer:$t(this.movingVarianceInitializer),betaRegularizer:ar(this.betaRegularizer),gammaRegularizer:ar(this.gammaRegularizer),betaConstraint:B(this.betaConstraint),gammaConstraint:B(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(pe);r.serialization.registerClass(ti);var ei=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=Kt(e.betaInitializer||"zeros"),n.gammaInitializer=Kt(e.gammaInitializer||"ones"),n.betaRegularizer=sr(e.betaRegularizer),n.gammaRegularizer=sr(e.gammaRegularizer),n.supportsMasking=!0,n}return a(e,t),e.prototype.build=function(t){var e=(t=re(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!==C(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,i=ne(t),a=i.shape,o=a.length;return Object(r.tidy)(function(){for(var t=Object(r.moments)(i,n.axis,!0),e=t.mean,s=t.variance,u=g(1,o),c=0,l=n.axis;c<l.length;c++){var f=l[c];u[f]=a[f]}for(var d=function(t){return null!=t&&t.shape.length!==o&&n.axis!==[o-1]?t.reshape(u):t},h=d(n.gamma.read()),p=d(n.beta.read()),m=[],v=[],y=0;y<o;++y)-1!==n.axis.indexOf(y)?(m.push(a[y]),v.push(1)):(m.push(1),v.push(a[y]));return e=e.tile(m),s=s.tile(m),h=h.tile(v),p=p.tile(v),Zr(i,e,s,p,h,n.epsilon)})},e.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:$t(this.betaInitializer),gammaInitializer:$t(this.gammaInitializer),betaRegularizer:ar(this.betaRegularizer),gammaRegularizer:ar(this.gammaRegularizer)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LayerNormalization",e}(pe);r.serialization.registerClass(ei);var ni=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 h("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 h("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 h("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 ce({ndim:4})],n}return a(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=re(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 Object(r.tidy)(function(){return function(t,e,n){return Object(r.tidy)(function(){if(4!==t.rank)throw new h("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 h("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 h("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var i;return i="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],Object(r.pad)(t,i)})}(ne(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}(pe);function ri(t,e,n,i,a,o){return Object(r.tidy)(function(){var s;X(a),J(o),Y(i),null==n&&(n=[1,1]),null==i&&(i="valid"),null==a&&(a="channelsLast"),null==o&&(o="max"),t=vr(t,a);var u="same"===i?"same":"valid";return s="max"===o?Object(r.maxPool)(t,e,n,u):Object(r.avgPool)(t,e,n,u),"channelsFirst"===a&&(s=Object(r.transpose)(s,[0,3,1,2])),s})}function ii(t,e,n,i,a,o){return Object(r.tidy)(function(){var s;X(a),J(o),Y(i),null==n&&(n=[1,1,1]),null==i&&(i="valid"),null==a&&(a="channelsLast"),null==o&&(o="max"),t=yr(t,a);var u="same"===i?"same":"valid";return s="max"===o?Object(r.maxPool3d)(t,e,n,u):Object(r.avgPool3d)(t,e,n,u),"channelsFirst"===a&&(s=Object(r.transpose)(s,[0,4,1,2,3])),s})}r.serialization.registerClass(ni);var ai=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 h("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(I(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 h("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 I(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,Y(n.padding),n.inputSpec=[new ce({ndim:3})],n}return a(e,t),e.prototype.computeOutputShape=function(t){var e=mr((t=re(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 Object(r.tidy)(function(){n.invokeCallHook(t,e),t=dt(ne(t),2);var i=n.poolingFunction(ne(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.squeeze)(i,[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}(pe),oi=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ri(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(ai);r.serialization.registerClass(oi);var si=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ri(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(ai);r.serialization.registerClass(si);var ui=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 h("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 I(n.poolSize,"poolSize"),I(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,X(n.dataFormat),Y(n.padding),n.inputSpec=[new ce({ndim:4})],n}return a(e,t),e.prototype.computeOutputShape=function(t){t=re(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=mr(e,this.poolSize[0],this.padding,this.strides[0]),n=mr(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 Object(r.tidy)(function(){return n.invokeCallHook(t,e),n.poolingFunction(ne(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}(pe),ci=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ri(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(ui);r.serialization.registerClass(ci);var li=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ri(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(ui);r.serialization.registerClass(li);var fi=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 h("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 I(n.poolSize,"poolSize"),I(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,X(n.dataFormat),Y(n.padding),n.inputSpec=[new ce({ndim:5})],n}return a(e,t),e.prototype.computeOutputShape=function(t){t=re(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=mr(e,this.poolSize[0],this.padding,this.strides[0]),n=mr(n,this.poolSize[1],this.padding,this.strides[1]),r=mr(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 Object(r.tidy)(function(){return n.invokeCallHook(t,e),n.poolingFunction(ne(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}(pe),di=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ii(t,e,n,r,i,"max")},e.className="MaxPooling3D",e}(fi);r.serialization.registerClass(di);var hi=function(t){function e(e){return t.call(this,e)||this}return a(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return X(i),Y(r),ii(t,e,n,r,i,"avg")},e.className="AveragePooling3D",e}(fi);r.serialization.registerClass(hi);var pi=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new ce({ndim:3})],n}return a(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new p},e}(pe),mi=function(t){function e(e){return t.call(this,e||{})||this}return a(e,t),e.prototype.call=function(t,e){return Object(r.tidy)(function(){var e=ne(t);return Object(r.mean)(e,1)})},e.className="GlobalAveragePooling1D",e}(pi);r.serialization.registerClass(mi);var gi=function(t){function e(e){return t.call(this,e||{})||this}return a(e,t),e.prototype.call=function(t,e){return Object(r.tidy)(function(){var e=ne(t);return Object(r.max)(e,1)})},e.className="GlobalMaxPooling1D",e}(pi);r.serialization.registerClass(gi);var vi=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,X(n.dataFormat),n.inputSpec=[new ce({ndim:4})],n}return a(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 p},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(pe),yi=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=ne(t);return"channelsLast"===n.dataFormat?Object(r.mean)(e,[1,2]):Object(r.mean)(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(vi);r.serialization.registerClass(yi);var bi=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=ne(t);return"channelsLast"===n.dataFormat?Object(r.max)(e,[1,2]):Object(r.max)(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(vi);function xi(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new h("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 wi(t,e,n,i,a,o,s,u){return void 0===i&&(i=!1),void 0===s&&(s=!1),void 0===u&&(u=!1),Object(r.tidy)(function(){var c=e.shape.length;if(c<3)throw new h("Input should be at least 3D, but is "+c+"D.");var l=[1,0].concat(lt(2,c));if(e=Object(r.transpose)(e,l),null!=o)throw new p("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===c-1&&(a=Object(r.expandDims)(a,-1)),a=Object(r.transpose)(a,l)),i&&(e=Object(r.reverse)(e,0),null!=a&&(a=Object(r.reverse)(a,0)));var f,d,m=[],g=n,v=e.shape[0],y=Object(r.unstack)(e);null!=a&&(d=Object(r.unstack)(a));for(var b,x=function(e){var n=y[e],i=Object(r.tidy)(function(){return t(n,g)});if(null==a)f=i[0],g=i[1];else{var o=Object(r.tidy)(function(){var t=d[e],n=Object(r.onesLike)(t).sub(t);return{output:i[0].mul(t).addStrict(g[0].mul(n)),newStates:g.map(function(e,r){return i[1][r].mul(t).addStrict(e.mul(n))})}});f=o.output,g=o.newStates}u&&m.push(f)},w=0;w<v;++w)x(w);return u&&(b=Object(r.stack)(m,1)),[f,b,g]})}r.serialization.registerClass(bi);var ki=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new h("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new Ti({cells:e.cell}):e.cell).stateSize)throw new h("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 ce({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return a(e,t),e.prototype.getStates=function(){return null==this.states_?lt(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){te(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 Object(r.tidy)(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 p("Constants support is not implemented in RNN yet.");te(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new ce({shape:[e,null,n]});var i,a=[t[0]].concat(t.slice(2));if(this.cell.build(a),i=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.util.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),i))throw new h("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=i.map(function(t){return new ce({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),Object(r.tidy)(function(){if(!n.stateful)throw new f("Cannot call resetStates() on an RNN Layer that is not stateful.");var i=n.inputSpec[0].shape[0];if(null==i)throw new h("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 Object(r.zeros)([i,t])}):n.states_=[Object(r.zeros)([i,n.cell.stateSize])];else if(null==t)Object(r.dispose)(n.states_),null!=n.keptStates&&(Object(r.dispose)(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Object(r.zeros)([i,t])}):n.states_[0]=Object(r.zeros)([i,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new h("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()):Object(r.dispose)(n.states_);for(var a=0;a<n.states_.length;++a){var o=t[a],s=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,u=[i,s];if(!r.util.arraysEqual(o.shape,u))throw new h("State "+a+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+o.shape);n.states_[a]=o}}n.states_=n.states_.map(function(t){return Object(r.keep)(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=xi(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,c=r;u<c.length;u++){var l=c[u];this.stateSpec.push(new ce({shape:l.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof le){var f=[e].concat(o),d=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=d;var p=t.prototype.apply.call(this,f,n);return this.inputSpec=h,p}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,a=null==e?null:e.initialState;t=ne(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 h("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=wi(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),c=u[0],l=u[1],f=u[2];n.stateful&&n.resetStates(f,i);var d=n.returnSequences?l:c;return n.returnState?[d].concat(f):d})},e.prototype.getInitialState=function(t){var e=this;return Object(r.tidy)(function(){var n=Object(r.zeros)(t.shape);return n=dt(n=Object(r.sum)(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?yt(n,[1,t]):n}):e.cell.stateSize>1?[yt(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=Ne(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(pe);r.serialization.registerClass(ki);var _i=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),e}(pe),Ei=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,I(n.units,"units"),n.activation=tr(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Kt(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Kt(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Kt(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(e.kernelRegularizer),n.recurrentRegularizer=sr(e.recurrentRegularizer),n.biasRegularizer=sr(e.biasRegularizer),n.kernelConstraint=W(e.kernelConstraint),n.recurrentConstraint=W(e.recurrentConstraint),n.biasConstraint=W(e.biasConstraint),n.dropout=ut([1,ct([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ut([1,ct([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return a(e,t),e.prototype.build=function(t){t=re(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 Object(r.tidy)(function(){if(2!==(t=t).length)throw new h("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var i=t[1];t=t[0];var a,o=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ii(function(){return Object(r.onesLike)(t)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ii(function(){return Object(r.onesLike)(i)},n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;a=xt(null!=s?Object(r.mul)(t,s):t,n.kernel.read()),null!=n.bias&&(a=Et(a,n.bias.read())),null!=u&&(i=Object(r.mul)(i,u));var c=Object(r.add)(a,xt(i,n.recurrentKernel.read()));return null!=n.activation&&(c=n.activation.apply(c)),[c,c]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Zn(this.activation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(_i);r.serialization.registerClass(Ei);var Oi=function(t){function e(e){return e.cell=new Ei(e),t.call(this,e)||this}return a(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:a,training:o,initialState:s})})},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:Zn(this.activation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(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}(ki);r.serialization.registerClass(Oi);var Si=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,I(n.units,"units"),n.activation=tr(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=tr(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Kt(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Kt(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Kt(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(e.kernelRegularizer),n.recurrentRegularizer=sr(e.recurrentRegularizer),n.biasRegularizer=sr(e.biasRegularizer),n.kernelConstraint=W(e.kernelConstraint),n.recurrentConstraint=W(e.recurrentConstraint),n.biasConstraint=W(e.biasConstraint),n.dropout=ut([1,ct([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ut([1,ct([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return a(e,t),e.prototype.build=function(t){var e=(t=re(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 Object(r.tidy)(function(){if(2!==(t=t).length)throw new h("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var i=null!=e.training&&e.training,a=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ii(function(){return Object(r.onesLike)(t)},n.dropout,i,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ii(function(){return Object(r.onesLike)(a)},n.recurrentDropout,i,3));var o,s,u,c=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Object(r.mul)(t,c[0]));var f=xt(t,n.kernel.read());n.useBias&&(f=Et(f,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=Object(r.mul)(a,l[0]));var d=n.recurrentKernel.read(),p=Object(r.split)(d,[2*n.units,n.units],d.rank-1),m=p[0],g=p[1],v=xt(a,m),y=Object(r.split)(f,3,f.rank-1),b=y[0],x=y[1],w=y[2],k=Object(r.split)(v,2,v.rank-1),_=k[0],E=k[1];o=n.recurrentActivation.apply(Object(r.add)(b,_)),s=n.recurrentActivation.apply(Object(r.add)(x,E));var O=xt(Object(r.mul)(s,a),g);u=n.activation.apply(Object(r.add)(w,O));var S=Object(r.add)(Object(r.mul)(o,a),Object(r.mul)(Object(r.add)(1,Object(r.neg)(o)),u));return[S,S]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Zn(this.activation),recurrentActivation:Zn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(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}(_i);r.serialization.registerClass(Si);var Ci=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 Si(e),t.call(this,e)||this}return a(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:a,training:o,initialState:s})})},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:Zn(this.activation),recurrentActivation:Zn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(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}(ki);r.serialization.registerClass(Ci);var Ai=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,I(n.units,"units"),n.activation=tr(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=tr(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Kt(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Kt(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Kt(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=sr(e.kernelRegularizer),n.recurrentRegularizer=sr(e.recurrentRegularizer),n.biasRegularizer=sr(e.biasRegularizer),n.kernelConstraint=W(e.kernelConstraint),n.recurrentConstraint=W(e.recurrentConstraint),n.biasConstraint=W(e.biasConstraint),n.dropout=ut([1,ct([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ut([1,ct([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 a(e,t),e.prototype.build=function(t){var e,n,r=(t=re(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,o=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),e.prototype.apply=function(t,e){var n=i.apply([o]),r=(new It).apply([o]),a=i.apply([2*o]);return vt(vt(n,r),a)},e}(Nt)).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 Object(r.tidy)(function(){var i=null!=e.training&&e.training;if(3!==(t=t).length)throw new h("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var a=t[1],o=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Ii(function(){return Object(r.onesLike)(t)},n.dropout,i,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Ii(function(){return Object(r.onesLike)(a)},n.recurrentDropout,i,4));var s,u,c,l,f=n.dropoutMask,d=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Object(r.mul)(t,f[0]));var p=xt(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=Object(r.mul)(a,d[0])),p=Object(r.add)(p,xt(a,n.recurrentKernel.read())),n.useBias&&(p=Et(p,n.bias.read()));var m=Object(r.split)(p,4,p.rank-1),g=m[0],v=m[1],y=m[2],b=m[3];s=n.recurrentActivation.apply(g),u=n.recurrentActivation.apply(v),c=Object(r.add)(Object(r.mul)(u,o),Object(r.mul)(s,n.activation.apply(y))),l=n.recurrentActivation.apply(b);var x=Object(r.mul)(l,n.activation.apply(c));return[x,x,c]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Zn(this.activation),recurrentActivation:Zn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(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}(_i);r.serialization.registerClass(Ai);var Ni=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 Ai(e),t.call(this,e)||this}return a(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:a,training:o,initialState:s})})},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:Zn(this.activation),recurrentActivation:Zn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:$t(this.kernelInitializer),recurrentInitializer:$t(this.recurrentInitializer),biasInitializer:$t(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ar(this.kernelRegularizer),recurrentRegularizer:ar(this.recurrentRegularizer),biasRegularizer:ar(this.biasRegularizer),activityRegularizer:ar(this.activityRegularizer),kernelConstraint:B(this.kernelConstraint),recurrentConstraint:B(this.recurrentConstraint),biasConstraint:B(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}(ki);r.serialization.registerClass(Ni);var Ti=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return a(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 Object(r.tidy)(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,c=[],l=0;l<n.cells.length;++l)s=n.cells[l],r=i[l],u=0===l?[t[0]].concat(r):[u[0]].concat(r),u=s.call(u,e),c.push(u.slice(1));r=[];for(var f=0,d=c.slice().reverse();f<d.length;f++){var h=d[f];r.push.apply(r,h)}return[u[0]].concat(r)})},e.prototype.build=function(t){var e;te(t)&&(t=t[0]),t=t,this.cells.forEach(function(n,r){tt("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(Ne(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 se(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]]);ue(e)},e.className="StackedRNNCells",e}(_i);function Ii(t,e,n,i){function a(){return Ot(t(),e)}if(void 0===n&&(n=null),void 0===i&&(i=1),i>1){for(var o=[],s=0;s<i;s++)o.push(St(a,t,n));return o.map(function(t){return Object(r.keep)(t.clone())})}return Object(r.keep)(St(a,t,n).clone())}r.serialization.registerClass(Ti);var Di=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return a(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=Ne(e.layer,n);delete e.layer;var i={layer:r};return Object.assign(i,e),new t(i)},e}(pe),Mi=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return a(e,t),e.prototype.build=function(e){if((e=re(e)).length<3)throw new h("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=re(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 Object(r.tidy)(function(){return wi(function(t,r){return[ne(n.layer.call(t,e)),[]]},t=ne(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(Di);r.serialization.registerClass(Mi);var Ri="concat",Fi=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=Ne(i),r.goBackwards=!0!==r.goBackwards;var a={};if(a.className=e.layer.getClassName(),a.config=r,n.backwardLayer=Ne(a),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?Ri:e.mergeMode,function(t){N($,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new p("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 a(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()):b(n)},e.prototype.apply=function(e,n){var 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e},t}(),Y=function(t,e,n){switch(t.op){case"BiasAdd":case"AddV2":case"Add":return[Object(a.add)(h("a",t,e,n),h("b",t,e,n))];case"AddN":return[Object(a.addN)(h("tensors",t,e,n))];case"FloorMod":case"Mod":return[Object(a.mod)(h("a",t,e,n),h("b",t,e,n))];case"Mul":return[Object(a.mul)(h("a",t,e,n),h("b",t,e,n))];case"RealDiv":case"Div":return[Object(a.div)(h("a",t,e,n),h("b",t,e,n))];case"DivNoNan":return[Object(a.divNoNan)(h("a",t,e,n),h("b",t,e,n))];case"FloorDiv":return[Object(a.floorDiv)(h("a",t,e,n),h("b",t,e,n))];case"Sub":return[Object(a.sub)(h("a",t,e,n),h("b",t,e,n))];case"Minimum":return[Object(a.minimum)(h("a",t,e,n),h("b",t,e,n))];case"Maximum":return[Object(a.maximum)(h("a",t,e,n),h("b",t,e,n))];case"Pow":return[Object(a.pow)(h("a",t,e,n),h("b",t,e,n))];case"SquaredDifference":return[Object(a.squaredDifference)(h("a",t,e,n),h("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not 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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 Object(a.tensor)([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Object(a.stack)(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 Object(a.tensor)([],[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+")"),Object(a.concat)(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,Object(a.unstack)(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 o=0===r?0:e.size/r,s=[];Object(a.tidy)(function(){e=e.reshape([1,r,o]);for(var u=0;u<t.length;++u){var c=[0,0===u?0:i[u-1],0],l=[1,t[u],o];s[u]=Object(a.slice)(e,c,l).reshape(n.elementShape)}return s});for(var u=[],c=0;c<t.length;c++)u[c]=c;this.writeMany(u,s)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),a.util.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}(),Q=function(t,e,n){return s(void 0,void 0,void 0,function(){var r,i,o,s,c,l,f,d,m,g,v,y,b,x,w,k,_,E,O,S,C,A,N,T,I,D,M,R,F,j,P,L,z,B,U;return u(this,function(u){switch(u.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,[h("pred",t,e,n).clone()]];case 2:return r=h("pred",t,e,n),i=h("data",t,e,n),[4,r.data()];case 3:return[2,u.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(o=t.inputNames.find(function(t){return void 0!==p(t,e,n)}))?[p(o,e,n).clone()]:void 0];case 5:return s=h("frameName",t,e,n),c=h("tensor",t,e,n),n.enterFrame(s),[2,[c.clone()]];case 6:return l=h("tensor",t,e,n),n.exitFrame(),[2,[l.clone()]];case 7:return f=h("tensor",t,e,n),n.nextIteration(),[2,[f.clone()]];case 8:return d=h("size",t,e,n),m=h("dtype",t,e,n),g=h("elementShape",t,e,n),v=h("dynamicSize",t,e,n),y=h("clearAfterRead",t,e,n),b=h("identicalElementShapes",t,e,n),x=h("name",t,e,n),w=new Z(x,m,d,g,b,v,y),n.addTensorArray(w),[2,[Object(a.scalar)(w.id),Object(a.scalar)(1)]];case 9:return k=h("tensorArrayId",t,e,n),_=h("index",t,e,n),E=h("tensor",t,e,n),n.getTensorArray(k).write(_,E),[2,[Object(a.scalar)(1)]];case 10:return O=h("tensorArrayId",t,e,n),S=h("index",t,e,n),[2,[n.getTensorArray(O).read(S)]];case 11:return C=h("tensorArrayId",t,e,n),A=h("indices",t,e,n),N=h("dtype",t,e,n),[2,[n.getTensorArray(C).gather(A,N)]];case 12:return T=h("tensorArrayId",t,e,n),I=h("indices",t,e,n),D=h("tensor",t,e,n),n.getTensorArray(T).scatter(I,D),[2,[Object(a.scalar)(1)]];case 13:return M=h("tensorArrayId",t,e,n),R=n.getTensorArray(M),F=h("dtype",t,e,n),[2,[R.concat(F)]];case 14:return j=h("tensorArrayId",t,e,n),P=h("tensor",t,e,n),L=h("lengths",t,e,n),n.getTensorArray(j).split(L,P),[2,[Object(a.scalar)(1)]];case 15:return z=h("tensorArrayId",t,e,n),B=n.getTensorArray(z),[2,[Object(a.scalar)(B.size(),"int32")]];case 16:return U=h("tensorArrayId",t,e,n),n.getTensorArray(U).clearAndClose(),[2,[Object(a.scalar)(0)]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})},tt=function(t,e,n){switch(t.op){case"Conv1D":var r=h("stride",t,e,n),i=h("pad",t,e,n),o=h("dataFormat",t,e,n).toUpperCase(),s=h("dilation",t,e,n);return[Object(a.conv1d)(h("x",t,e,n),h("filter",t,e,n),r,i,o,s)];case"Conv2D":r=h("strides",t,e,n),i=h("pad",t,e,n),o=h("dataFormat",t,e,n).toUpperCase();var u=h("dilations",t,e,n);return[Object(a.conv2d)(h("x",t,e,n),h("filter",t,e,n),[r[1],r[2]],i,o,[u[1],u[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var c=h("fusedOps",t,e,n),l=c[0],f=c[1],d="biasadd"===l,p="prelu"===f,m="fusedbatchnorm"===l,g=h("numArgs",t,e,n);if(d){if(p&&2!==g)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!p&&1!==g)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(m)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");r=h("strides",t,e,n),i=h("pad",t,e,n),o=h("dataFormat",t,e,n).toUpperCase(),u=h("dilations",t,e,n);var v=h("args",t,e,n),y=v[0],b=v[1];return[("_FusedConv2D"===t.op?a.fused.conv2d:a.fused.depthwiseConv2d)({x:h("x",t,e,n),filter:h("filter",t,e,n),strides:[r[1],r[2]],pad:i,dataFormat:o,dilations:[u[1],u[2]],bias:y,activation:f,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=h("outputShape",t,e,n);return r=h("strides",t,e,n),i=h("pad",t,e,n),[Object(a.conv2dTranspose)(h("x",t,e,n),h("filter",t,e,n),x,[r[1],r[2]],i)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=h("strides",t,e,n),i=h("pad",t,e,n),u=h("dilations",t,e,n),o=h("dataFormat",t,e,n).toUpperCase(),[Object(a.depthwiseConv2d)(h("input",t,e,n),h("filter",t,e,n),[r[1],r[2]],i,o,[u[1],u[2]])];case"Conv3D":return r=h("strides",t,e,n),i=h("pad",t,e,n),o=h("dataFormat",t,e,n).toUpperCase(),u=h("dilations",t,e,n),[Object(a.conv3d)(h("x",t,e,n),h("filter",t,e,n),[r[1],r[2],r[3]],i,o,[u[1],u[2],u[3]])];case"AvgPool":r=h("strides",t,e,n),i=h("pad",t,e,n);var w=h("kernelSize",t,e,n);return[Object(a.avgPool)(h("x",t,e,n),[w[1],w[2]],[r[1],r[2]],i)];case"MaxPool":return r=h("strides",t,e,n),i=h("pad",t,e,n),w=h("kernelSize",t,e,n),[Object(a.maxPool)(h("x",t,e,n),[w[1],w[2]],[r[1],r[2]],i)];case"MaxPoolWithArgmax":r=h("strides",t,e,n),i=h("pad",t,e,n),w=h("kernelSize",t,e,n);var k=h("includeBatchInIndex",t,e,n),_=Object(a.maxPoolWithArgmax)(h("x",t,e,n),[w[1],w[2]],[r[1],r[2]],i,k);return[_.result,_.indexes];case"AvgPool3D":return r=h("strides",t,e,n),i=h("pad",t,e,n),w=h("kernelSize",t,e,n),[Object(a.avgPool3d)(h("x",t,e,n),[w[1],w[2],w[3]],[r[1],r[2],r[3]],i)];case"MaxPool3D":return r=h("strides",t,e,n),i=h("pad",t,e,n),w=h("kernelSize",t,e,n),[Object(a.maxPool3d)(h("x",t,e,n),[w[1],w[2],w[3]],[r[1],r[2],r[3]],i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},et=function(t,e,n){switch(t.op){case"Fill":var r=h("shape",t,e,n),i=h("dtype",t,e,n),o=h("value",t,e,n);return[Object(a.fill)(r,o,i)];case"LinSpace":var s=h("start",t,e,n),u=h("stop",t,e,n),c=h("num",t,e,n);return[Object(a.linspace)(s,u,c)];case"Multinomial":var l=h("logits",t,e,n),f=h("numSamples",t,e,n),d=h("seed",t,e,n);return[Object(a.multinomial)(l,f,d)];case"OneHot":var p=h("indices",t,e,n),m=h("depth",t,e,n),g=h("onValue",t,e,n),v=h("offValue",t,e,n);return[Object(a.oneHot)(p,m,g,v)];case"Ones":return[Object(a.ones)(h("shape",t,e,n),h("dtype",t,e,n))];case"OnesLike":return[Object(a.onesLike)(h("x",t,e,n))];case"RandomUniform":return[Object(a.randomUniform)(h("shape",t,e,n),h("minval",t,e,n),h("maxval",t,e,n),h("dtype",t,e,n))];case"Range":s=h("start",t,e,n);var y=h("stop",t,e,n),b=h("step",t,e,n);return[Object(a.range)(s,y,b,h("dtype",t,e,n))];case"TruncatedNormal":r=h("shape",t,e,n);var x=h("mean",t,e,n),w=h("stdDev",t,e,n);return d=h("seed",t,e,n),[Object(a.truncatedNormal)(r,x,w,h("dtype",t,e,n),d)];case"Zeros":return[Object(a.zeros)(h("shape",t,e,n),h("dtype",t,e,n))];case"ZerosLike":return[Object(a.zerosLike)(h("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},nt=function(t,e,n){return s(void 0,void 0,void 0,function(){var r,i,o,s,c,l,f,d;return u(this,function(u){switch(u.label){case 0:switch(t.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return r=h("boxes",t,e,n),i=h("scores",t,e,n),o=h("maxOutputSize",t,e,n),s=h("iouThreshold",t,e,n),c=h("scoreThreshold",t,e,n),"NonMaxSuppressionV5"!==t.op?[3,3]:(l=h("softNmsSigma",t,e,n),[4,a.image.nonMaxSuppressionWithScoreAsync(r,i,o,s,c,l)]);case 2:return[2,[(d=u.sent()).selectedIndices,d.selectedScores]];case 3:return[4,a.image.nonMaxSuppressionAsync(r,i,o,s,c)];case 4:return[2,[u.sent()]];case 5:return f=h("condition",t,e,n).asType("bool"),[4,Object(a.whereAsync)(f)];case 6:return d=[u.sent()],f.dispose(),[2,d];case 7:return[2,Object(a.setdiff1dAsync)(h("x",t,e,n),h("y",t,e,n))];case 8:throw TypeError("Node type "+t.op+" is not implemented")}})})},rt=function(t,e,n){switch(t.op){case"TopKV2":var r=h("x",t,e,n),i=h("k",t,e,n),o=h("sorted",t,e,n),s=Object(a.topk)(r,i,o);return[s.values,s.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},it=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=h("default",t,e,n);return[p(t.name,e,n)||r];case"Placeholder":return[p(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[h("x",t,e,n).clone()];case"IdentityN":return h("x",t,e,n).map(function(t){return t.clone()});case"Snapshot":return[h("x",t,e,n).clone()];case"Shape":return[Object(a.tensor1d)(h("x",t,e,n).shape,"int32")];case"ShapeN":return h("x",t,e,n).map(function(t){return Object(a.tensor1d)(t.shape)});case"Size":return[Object(a.scalar)(h("x",t,e,n).size,"int32")];case"Rank":return[Object(a.scalar)(h("x",t,e,n).rank,"int32")];case"NoOp":return[Object(a.scalar)(1)];case"Print":var i=h("x",t,e,n),o=h("data",t,e,n),s=h("message",t,e,n),u=h("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(s);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type "+t.op+" is not implemented")}},at=function(t,e,n){switch(t.op){case"ResizeBilinear":var r=h("images",t,e,n),i=h("size",t,e,n),o=h("alignCorners",t,e,n);return[a.image.resizeBilinear(r,[i[0],i[1]],o)];case"ResizeNearestNeighbor":return r=h("images",t,e,n),i=h("size",t,e,n),o=h("alignCorners",t,e,n),[a.image.resizeNearestNeighbor(r,[i[0],i[1]],o)];case"CropAndResize":var s=h("image",t,e,n),u=h("boxes",t,e,n),c=h("boxInd",t,e,n),l=h("cropSize",t,e,n),f=h("method",t,e,n),d=h("extrapolationValue",t,e,n);return[a.image.cropAndResize(s,u,c,l,f,d)];default:throw TypeError("Node type "+t.op+" is not implemented")}},ot=function(t,e,n){switch(t.op){case"Equal":return[Object(a.equal)(h("a",t,e,n),h("b",t,e,n))];case"NotEqual":return[Object(a.notEqual)(h("a",t,e,n),h("b",t,e,n))];case"Greater":return[Object(a.greater)(h("a",t,e,n),h("b",t,e,n))];case"GreaterEqual":return[Object(a.greaterEqual)(h("a",t,e,n),h("b",t,e,n))];case"Less":return[Object(a.less)(h("a",t,e,n),h("b",t,e,n))];case"LessEqual":return[Object(a.lessEqual)(h("a",t,e,n),h("b",t,e,n))];case"LogicalAnd":return[Object(a.logicalAnd)(h("a",t,e,n),h("b",t,e,n))];case"LogicalNot":return[Object(a.logicalNot)(h("a",t,e,n))];case"LogicalOr":return[Object(a.logicalOr)(h("a",t,e,n),h("b",t,e,n))];case"Select":return[Object(a.where)(h("condition",t,e,n),h("a",t,e,n),h("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},st=function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Object(a.matMul)(h("a",t,e,n),h("b",t,e,n),h("transposeA",t,e,n),h("transposeB",t,e,n))];case"Transpose":return[Object(a.transpose)(h("x",t,e,n),h("perm",t,e,n))];case"_FusedMatMul":var r=h("fusedOps",t,e,n),i=r[0],o=r[1],s="biasadd"===i,u="prelu"===o,c=h("numArgs",t,e,n);if(s){if(u&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=h("args",t,e,n),f=l[0],d=l[1];return[a.fused.matMul({a:h("a",t,e,n),b:h("b",t,e,n),transposeA:h("transposeA",t,e,n),transposeB:h("transposeB",t,e,n),bias:f,activation:o,preluActivationWeights:d})];default:throw TypeError("Node type "+t.op+" is not implemented")}},ut=function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Object(a.batchNorm)(h("x",t,e,n),h("mean",t,e,n),h("variance",t,e,n),h("offset",t,e,n),h("scale",t,e,n),h("epsilon",t,e,n))];case"LRN":return[Object(a.localResponseNormalization)(h("x",t,e,n),h("radius",t,e,n),h("bias",t,e,n),h("alpha",t,e,n),h("beta",t,e,n))];case"Softmax":return[Object(a.softmax)(h("x",t,e,n))];case"LogSoftmax":return[Object(a.logSoftmax)(h("x",t,e,n))];case"SparseToDense":return[Object(a.sparseToDense)(h("sparseIndices",t,e,n),h("outputShape",t,e,n),h("sparseValues",t,e,n),h("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ct=function(t,e,n){switch(t.op){case"Max":var r=h("axis",t,e,n),i=h("keepDims",t,e,n);return[Object(a.max)(h("x",t,e,n),r,i)];case"Mean":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.mean)(h("x",t,e,n),r,i)];case"Min":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.min)(h("x",t,e,n),r,i)];case"Sum":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.sum)(h("x",t,e,n),r,i)];case"All":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.all)(h("x",t,e,n),r,i)];case"Any":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.any)(h("x",t,e,n),r,i)];case"ArgMax":return r=h("axis",t,e,n),[Object(a.argMax)(h("x",t,e,n),r)];case"ArgMin":return r=h("axis",t,e,n),[Object(a.argMin)(h("x",t,e,n),r)];case"Prod":return r=h("axis",t,e,n),i=h("keepDims",t,e,n),[Object(a.prod)(h("x",t,e,n),r,i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},lt=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=h("n",t,e,n),i=h("axis",t,e,n),o=h("tensors",t,e,n);return o=o.slice(0,r),[Object(a.concat)(o,i)];case"GatherV2":case"Gather":i=h("axis",t,e,n);var s=h("x",t,e,n),u=h("indices",t,e,n);return[Object(a.gather)(s,u.asType("int32"),i)];case"ReverseV2":case"Reverse":return i=h("axis",t,e,n),s=h("x",t,e,n),[Object(a.reverse)(s,i)];case"Slice":var c=h("begin",t,e,n),l=h("size",t,e,n);return[Object(a.slice)(h("x",t,e,n),c,l)];case"StridedSlice":c=h("begin",t,e,n);var f=h("end",t,e,n),d=h("strides",t,e,n),p=h("beginMask",t,e,n),m=h("endMask",t,e,n),g=h("ellipsisMask",t,e,n),v=h("newAxisMask",t,e,n),y=h("shrinkAxisMask",t,e,n),b=h("x",t,e,n);if(1===c.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)c.push(0),f.push(b.shape[x]),d.push(d[0]);return[Object(a.stridedSlice)(b,c,f,d,p,m,g,v,y)];case"Pack":return Object(a.tidy)(function(){var r=h("axis",t,e,n),i=h("tensors",t,e,n),o=i[0].shape,s=i[0].squeeze().shape,u=i.map(function(t){var e=a.util.arraysEqual(t.shape,o);if(!e&&!a.util.arraysEqual(t.squeeze().shape,s))throw new Error("the input tensors shape does not match");return e?t:t.reshape(o)});return[Object(a.stack)(u,r)]});case"Unpack":return Object(a.tidy)(function(){var r=h("axis",t,e,n),i=h("tensor",t,e,n);return Object(a.unstack)(i,r)});case"Tile":var w=h("reps",t,e,n);return[Object(a.tile)(h("x",t,e,n),w)];case"Split":case"SplitV":i=h("axis",t,e,n);var k=h("numOrSizeSplits",t,e,n);return Object(a.split)(h("x",t,e,n),k,i);case"ScatterNd":u=h("indices",t,e,n);var _=h("values",t,e,n),E=h("shape",t,e,n);return[Object(a.scatterND)(u,_,E)];case"GatherNd":var O=h("x",t,e,n);return u=h("indices",t,e,n),[Object(a.gatherND)(O,u)];case"SparseToDense":u=h("sparseIndices",t,e,n),E=h("outputShape",t,e,n);var S=h("sparseValues",t,e,n),C=h("defaultValue",t,e,n);return[Object(a.sparseToDense)(u,S,E,S.dtype===C.dtype?C:C.asType(S.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ft=function(t,e,n){switch(t.op){case"FFT":return[Object(a.fft)(h("x",t,e,n))];case"IFFT":return[Object(a.ifft)(h("x",t,e,n))];case"RFFT":return[Object(a.rfft)(h("x",t,e,n))];case"IRFFT":return[Object(a.irfft)(h("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},dt=function(t,e,n){switch(t.op){case"Cast":return[Object(a.cast)(h("x",t,e,n),h("dtype",t,e,n))];case"ExpandDims":var r=h("axis",t,e,n);return[Object(a.expandDims)(h("x",t,e,n),r)];case"Squeeze":return r=h("axis",t,e,n),[Object(a.squeeze)(h("x",t,e,n),r)];case"Reshape":return[Object(a.reshape)(h("x",t,e,n),h("shape",t,e,n))];case"PadV2":case"Pad":return[Object(a.pad)(h("x",t,e,n),y(h("padding",t,e,n),2),h("constantValue",t,e,n))];case"SpaceToBatchND":var i=h("blockShape",t,e,n),o=y(h("paddings",t,e,n),2);return[Object(a.spaceToBatchND)(h("x",t,e,n),i,o)];case"BatchToSpaceND":i=h("blockShape",t,e,n);var s=y(h("crops",t,e,n),2);return[Object(a.batchToSpaceND)(h("x",t,e,n),i,s)];case"DepthToSpace":var u=h("blockSize",t,e,n),c=h("dataFormat",t,e,n).toUpperCase();return[Object(a.depthToSpace)(h("x",t,e,n),u,c)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function ht(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return Object(a.tidy)(function(){return Y(t,e,n)});case"basic_math":return Object(a.tidy)(function(){return J(t,e,n)});case"control":return Q(t,e,n);case"convolution":return Object(a.tidy)(function(){return tt(t,e,n)});case"creation":return Object(a.tidy)(function(){return et(t,e,n)});case"dynamic":return nt(t,e,n);case"evaluation":return Object(a.tidy)(function(){return rt(t,e,n)});case"image":return Object(a.tidy)(function(){return at(t,e,n)});case"graph":return Object(a.tidy)(function(){return it(t,e,n)});case"logical":return Object(a.tidy)(function(){return ot(t,e,n)});case"matrices":return Object(a.tidy)(function(){return st(t,e,n)});case"normalization":return Object(a.tidy)(function(){return ut(t,e,n)});case"reduction":return Object(a.tidy)(function(){return ct(t,e,n)});case"slice_join":return Object(a.tidy)(function(){return lt(t,e,n)});case"spectral":return Object(a.tidy)(function(){return ft(t,e,n)});case"transformation":return Object(a.tidy)(function(){return dt(t,e,n)});case"custom":var r=f(t.op);if(r&&r.customExecutor)return r.customExecutor(new X(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 pt=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 mt(t,e,n){for(var r=new Set,i=[],a=null,o=null,s=new Set,u=Object.keys(t).map(function(t){return v(t)[0]}),c=e.slice();c.length>0;){var l=c.pop();(yt(l)||bt(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]&&-1===u.indexOf(l.name)&&(0!==l.inputs.length?l.inputs.forEach(function(t){s.has(t.name)||(s.add(t.name),c.push(t))}):i.push(l.name))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:i,dynamicNode:a,syncInputs:o}}var gt=["Switch","Merge","Enter","Exit","NextIteration"],vt=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function yt(t){return gt.indexOf(t.op)>=0}function bt(t){return vt.indexOf(t.op)>=0}var xt=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=t.outputs,this._inputs=t.inputs,this._signature=t.signature}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._inputs.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._inputs.map(function(t){return t.signatureKey||t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this._outputs.map(function(t){return t.signatureKey||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=mt(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(t){return v(t)[0]}).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;t=this.mapInputs(t);var r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var i=r.map(function(t){return n.graph.nodes[v(t)[0]]}),s=e.map(function(t){return n.graph.nodes[v(t)[0]]}),u=this.getCompilationKey(i,s),c=this.compiledMap.get(u);null==c&&(c=this.compile(t,s),this.compiledMap.set(u,c));var l={};return Object(a.tidy)(function(){var r=new pt(n._weightMap,l),i=o({},n.weightMap);Object.keys(t).forEach(function(e){var n=v(e),r=n[0],a=[];a[n[1]]=t[e],i[r]=a});for(var a=n.getFrozenTensorIds(i),s={},u=0;u<c.length;u++){var f=c[u];if(!i[f.name]){var d=ht(f,i,r);if(d instanceof Promise)throw new Error("The execution of the op '"+f.op+"' returned a promise. 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You can use model.execute() instead."),(w=a.filter(function(t){return!yt(t)&&!p(t.name,m,e)}).map(function(t){return t.name})).length>0)throw k="",null!=f&&(k="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+d+"]"),new Error("Cannot compute the outputs ["+w+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+l+"]. "+k);return[2,m]}})})},t.prototype.processStack=function(t,e,n,r,i,a,o,s,u){for(var c=this,l=[],f=function(){var f=e.pop();n.currentContext=f.contexts;var p="";if("Enter"===f.node.op&&h("isConstant",f.node,r,n)&&(p=m(f.node.name,n)[0]),-1===t.indexOf(f.node)){var g=ht(f.node,r,n);p||(p=m(f.node.name,n)[0]);var v=n.currentContext;g instanceof Promise?l.push(g.then(function(t){return r[p]=t,n.currentContext=v,c.checkTensorForDisposal(p,f.node,r,n,a,o,s),c.processChildNodes(f.node,e,n,r,i,u),t})):(r[p]=g,d.checkTensorForDisposal(p,f.node,r,n,a,o,s),d.processChildNodes(f.node,e,n,r,i,u))}else d.processChildNodes(f.node,e,n,r,i,u)},d=this;e.length>0;)f();return l},t.prototype.processChildNodes=function(t,e,n,r,i,a){t.children.forEach(function(t){var o=m(t.name,n)[0];!i[o]&&a.has(t.name)&&("Merge"===t.op?t.inputNames.some(function(t){return!!p(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})):t.inputNames.every(function(t){return!!p(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})))})},t.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(t){return t.dispose()})})},t.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(n){var r=t[n],i=v(n)[0],o=e.graph.nodes[i];if(o.attrParams.shape&&o.attrParams.shape.value){var s=o.attrParams.shape.value,u=s.length===r.shape.length&&r.shape.every(function(t,e){return-1===s[e]||s[e]===t});a.util.assert(u,function(){return"The shape of dict['"+o.name+"'] provided in model.execute(dict) must be ["+s+"], but was ["+r.shape+"]"})}o.attrParams.dtype&&o.attrParams.dtype.value&&a.util.assert(r.dtype===o.attrParams.dtype.value,function(){return"The dtype of 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t.artifacts=i.sent(),e=this.artifacts.modelTopology,n={},null!=this.artifacts.userDefinedMetadata&&(n=this.artifacts.userDefinedMetadata.signature),this.version=e.versions.producer+"."+e.versions.minConsumer,r=a.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new xt(F.Instance.transformGraph(e,n)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),[2,!0]}})})},t.prototype.save=function(t,e){return s(this,void 0,void 0,function(){var e;return u(this,function(n){if("string"==typeof t){if(0===(e=a.io.getSaveHandlers(t)).length)throw new Error("Cannot find any save handlers for URL '"+t+"'");if(e.length>1)throw new Error("Found more than one ("+e.length+") save handlers for URL '"+t+"'");t=e[0]}if(null==t.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,t.save(this.artifacts)]})})},t.prototype.predict=function(t,e){return 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   * Copyright 2018 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   * =============================================================================
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this.delaunay.update(),this._init(),this}_init(){const{delaunay:{points:t,hull:e,triangles:n},vectors:r}=this,i=this.circumcenters=this._circumcenters.subarray(0,n.length/3*2);for(let e,r,a=0,o=0,s=n.length;a<s;a+=3,o+=2){const s=2*n[a],u=2*n[a+1],c=2*n[a+2],l=t[s],f=t[s+1],d=t[u],h=t[u+1],p=t[c],m=t[c+1],g=d-l,v=h-f,y=p-l,b=m-f,x=g*g+v*v,w=y*y+b*b,k=2*(g*b-v*y);if(k)if(Math.abs(k)<1e-8)e=(l+p)/2,r=(f+m)/2;else{const t=1/k;e=l+(b*x-v*w)*t,r=f+(g*w-y*x)*t}else e=(l+p)/2-1e8*b,r=(f+m)/2+1e8*y;i[o]=e,i[o+1]=r}let a,o,s,u=e[e.length-1],c=4*u,l=t[2*u],f=t[2*u+1];r.fill(0);for(let n=0;n<e.length;++n)a=c,o=l,s=f,c=4*(u=e[n]),l=t[2*u],f=t[2*u+1],r[a+2]=r[c]=s-f,r[a+3]=r[c+1]=l-o}render(t){const e=null==t?t=new YO:void 0,{delaunay:{halfedges:n,inedges:r,hull:i},circumcenters:a,vectors:o}=this;if(i.length<=1)return null;for(let e=0,r=n.length;e<r;++e){const r=n[e];if(r<e)continue;const i=2*Math.floor(e/3),o=2*Math.floor(r/3),s=a[i],u=a[i+1],c=a[o],l=a[o+1];this._renderSegment(s,u,c,l,t)}let s,u=i[i.length-1];for(let e=0;e<i.length;++e){s=u,u=i[e];const n=2*Math.floor(r[u]/3),c=a[n],l=a[n+1],f=4*s,d=this._project(c,l,o[f+2],o[f+3]);d&&this._renderSegment(c,l,d[0],d[1],t)}return e&&e.value()}renderBounds(t){const e=null==t?t=new YO:void 0;return t.rect(this.xmin,this.ymin,this.xmax-this.xmin,this.ymax-this.ymin),e&&e.value()}renderCell(t,e){const n=null==e?e=new YO:void 0,r=this._clip(t);if(null===r)return;e.moveTo(r[0],r[1]);let i=r.length;for(;r[0]===r[i-2]&&r[1]===r[i-1]&&i>1;)i-=2;for(let t=2;t<i;t+=2)r[t]===r[t-2]&&r[t+1]===r[t-1]||e.lineTo(r[t],r[t+1]);return e.closePath(),n&&n.value()}*cellPolygons(){const{delaunay:{points:t}}=this;for(let e=0,n=t.length/2;e<n;++e){const t=this.cellPolygon(e);t&&(yield t)}}cellPolygon(t){const e=new JO;return this.renderCell(t,e),e.value()}_renderSegment(t,e,n,r,i){let a;const o=this._regioncode(t,e),s=this._regioncode(n,r);0===o&&0===s?(i.moveTo(t,e),i.lineTo(n,r)):(a=this._clipSegment(t,e,n,r,o,s))&&(i.moveTo(a[0],a[1]),i.lineTo(a[2],a[3]))}contains(t,e,n){return(e=+e)==e&&(n=+n)==n&&this.delaunay._step(t,e,n)===t}*neighbors(t){const e=this._clip(t);if(e)for(const n of this.delaunay.neighbors(t)){const t=this._clip(n);if(t)t:for(let r=0,i=e.length;r<i;r+=2)for(let a=0,o=t.length;a<o;a+=2)if(e[r]==t[a]&&e[r+1]==t[a+1]&&e[(r+2)%i]==t[(a+o-2)%o]&&e[(r+3)%i]==t[(a+o-1)%o]){yield n;break t}}}_cell(t){const{circumcenters:e,delaunay:{inedges:n,halfedges:r,triangles:i}}=this,a=n[t];if(-1===a)return null;const o=[];let s=a;do{const n=Math.floor(s/3);if(o.push(e[2*n],e[2*n+1]),i[s=s%3==2?s-2:s+1]!==t)break;s=r[s]}while(s!==a&&-1!==s);return o}_clip(t){if(0===t&&1===this.delaunay.hull.length)return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];const e=this._cell(t);if(null===e)return null;const{vectors:n}=this,r=4*t;return n[r]||n[r+1]?this._clipInfinite(t,e,n[r],n[r+1],n[r+2],n[r+3]):this._clipFinite(t,e)}_clipFinite(t,e){const n=e.length;let r,i,a,o,s,u=null,c=e[n-2],l=e[n-1],f=this._regioncode(c,l);for(let d=0;d<n;d+=2)if(r=c,i=l,c=e[d],l=e[d+1],a=f,f=this._regioncode(c,l),0===a&&0===f)o=s,s=0,u?u.push(c,l):u=[c,l];else{let e,n,d,h,p;if(0===a){if(null===(e=this._clipSegment(r,i,c,l,a,f)))continue;[n,d,h,p]=e}else{if(null===(e=this._clipSegment(c,l,r,i,f,a)))continue;[h,p,n,d]=e,o=s,s=this._edgecode(n,d),o&&s&&this._edge(t,o,s,u,u.length),u?u.push(n,d):u=[n,d]}o=s,s=this._edgecode(h,p),o&&s&&this._edge(t,o,s,u,u.length),u?u.push(h,p):u=[h,p]}if(u)o=s,s=this._edgecode(u[0],u[1]),o&&s&&this._edge(t,o,s,u,u.length);else if(this.contains(t,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2))return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];return u}_clipSegment(t,e,n,r,i,a){for(;;){if(0===i&&0===a)return[t,e,n,r];if(i&a)return null;let o,s,u=i||a;8&u?(o=t+(n-t)*(this.ymax-e)/(r-e),s=this.ymax):4&u?(o=t+(n-t)*(this.ymin-e)/(r-e),s=this.ymin):2&u?(s=e+(r-e)*(this.xmax-t)/(n-t),o=this.xmax):(s=e+(r-e)*(this.xmin-t)/(n-t),o=this.xmin),i?(t=o,e=s,i=this._regioncode(t,e)):(n=o,r=s,a=this._regioncode(n,r))}}_clipInfinite(t,e,n,r,i,a){let o,s=Array.from(e);if((o=this._project(s[0],s[1],n,r))&&s.unshift(o[0],o[1]),(o=this._project(s[s.length-2],s[s.length-1],i,a))&&s.push(o[0],o[1]),s=this._clipFinite(t,s))for(let e,n=0,r=s.length,i=this._edgecode(s[r-2],s[r-1]);n<r;n+=2)e=i,i=this._edgecode(s[n],s[n+1]),e&&i&&(n=this._edge(t,e,i,s,n),r=s.length);else this.contains(t,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2)&&(s=[this.xmin,this.ymin,this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax]);return s}_edge(t,e,n,r,i){for(;e!==n;){let n,a;switch(e){case 5:e=4;continue;case 4:e=6,n=this.xmax,a=this.ymin;break;case 6:e=2;continue;case 2:e=10,n=this.xmax,a=this.ymax;break;case 10:e=8;continue;case 8:e=9,n=this.xmin,a=this.ymax;break;case 9:e=1;continue;case 1:e=5,n=this.xmin,a=this.ymin}r[i]===n&&r[i+1]===a||!this.contains(t,n,a)||(r.splice(i,0,n,a),i+=2)}if(r.length>4)for(let t=0;t<r.length;t+=2){const e=(t+2)%r.length,n=(t+4)%r.length;(r[t]===r[e]&&r[e]===r[n]||r[t+1]===r[e+1]&&r[e+1]===r[n+1])&&(r.splice(e,2),t-=2)}return i}_project(t,e,n,r){let i,a,o,s=1/0;if(r<0){if(e<=this.ymin)return null;(i=(this.ymin-e)/r)<s&&(o=this.ymin,a=t+(s=i)*n)}else if(r>0){if(e>=this.ymax)return null;(i=(this.ymax-e)/r)<s&&(o=this.ymax,a=t+(s=i)*n)}if(n>0){if(t>=this.xmax)return null;(i=(this.xmax-t)/n)<s&&(a=this.xmax,o=e+(s=i)*r)}else if(n<0){if(t<=this.xmin)return null;(i=(this.xmin-t)/n)<s&&(a=this.xmin,o=e+(s=i)*r)}return[a,o]}_edgecode(t,e){return(t===this.xmin?1:t===this.xmax?2:0)|(e===this.ymin?4:e===this.ymax?8:0)}_regioncode(t,e){return(t<this.xmin?1:t>this.xmax?2:0)|(e<this.ymin?4:e>this.ymax?8:0)}}const QO=2*Math.PI;function tS(t,e,n){return[t+Math.sin(t+e)*n,e+Math.cos(t-e)*n]}class eS{static from(t,e=function(t){return t[0]},n=function(t){return t[1]},r){return new eS("length"in t?function(t,e,n,r){const i=t.length,a=new Float64Array(2*i);for(let o=0;o<i;++o){const i=t[o];a[2*o]=e.call(r,i,o,t),a[2*o+1]=n.call(r,i,o,t)}return a}(t,e,n,r):Float64Array.from(function*(t,e,n,r){let i=0;for(const a of t)yield e.call(r,a,i,t),yield n.call(r,a,i,t),++i}(t,e,n,r)))}constructor(t){this._delaunator=new UO(t),this.inedges=new Int32Array(t.length/2),this._hullIndex=new Int32Array(t.length/2),this.points=this._delaunator.coords,this._init()}update(){return this._delaunator.update(),this._init(),this}_init(){const t=this._delaunator,e=this.points;if(t.hull&&t.hull.length>2&&function(t){const{triangles:e,coords:n}=t;for(let t=0;t<e.length;t+=3){const r=2*e[t],i=2*e[t+1],a=2*e[t+2];if((n[a]-n[r])*(n[i+1]-n[r+1])-(n[i]-n[r])*(n[a+1]-n[r+1])>1e-10)return!1}return!0}(t)){this.collinear=Int32Array.from({length:e.length/2},(t,e)=>e).sort((t,n)=>e[2*t]-e[2*n]||e[2*t+1]-e[2*n+1]);const t=this.collinear[0],n=this.collinear[this.collinear.length-1],r=[e[2*t],e[2*t+1],e[2*n],e[2*n+1]],i=1e-8*Math.sqrt((r[3]-r[1])**2+(r[2]-r[0])**2);for(let t=0,n=e.length/2;t<n;++t){const n=tS(e[2*t],e[2*t+1],i);e[2*t]=n[0],e[2*t+1]=n[1]}this._delaunator=new UO(e)}else delete this.collinear;const n=this.halfedges=this._delaunator.halfedges,r=this.hull=this._delaunator.hull,i=this.triangles=this._delaunator.triangles,a=this.inedges.fill(-1),o=this._hullIndex.fill(-1);for(let t=0,e=n.length;t<e;++t){const e=i[t%3==2?t-2:t+1];-1!==n[t]&&-1!==a[e]||(a[e]=t)}for(let t=0,e=r.length;t<e;++t)o[r[t]]=t;r.length<=2&&r.length>0&&(this.triangles=new Int32Array(3).fill(-1),this.halfedges=new Int32Array(3).fill(-1),this.triangles[0]=r[0],this.triangles[1]=r[1],this.triangles[2]=r[1],a[r[0]]=1,2===r.length&&(a[r[1]]=0))}voronoi(t){return new ZO(this,t)}*neighbors(t){const{inedges:e,hull:n,_hullIndex:r,halfedges:i,triangles:a,collinear:o}=this;if(o){const e=o.indexOf(t);return e>0&&(yield 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this.renderHull(t),e&&e.value()}renderPoints(t,e=2){const n=null==t?t=new YO:void 0,{points:r}=this;for(let n=0,i=r.length;n<i;n+=2){const i=r[n],a=r[n+1];t.moveTo(i+e,a),t.arc(i,a,e,0,QO)}return n&&n.value()}renderHull(t){const e=null==t?t=new YO:void 0,{hull:n,points:r}=this,i=2*n[0],a=n.length;t.moveTo(r[i],r[i+1]);for(let e=1;e<a;++e){const i=2*n[e];t.lineTo(r[i],r[i+1])}return t.closePath(),e&&e.value()}hullPolygon(){const t=new JO;return this.renderHull(t),t.value()}renderTriangle(t,e){const n=null==e?e=new YO:void 0,{points:r,triangles:i}=this,a=2*i[t*=3],o=2*i[t+1],s=2*i[t+2];return e.moveTo(r[a],r[a+1]),e.lineTo(r[o],r[o+1]),e.lineTo(r[s],r[s+1]),e.closePath(),n&&n.value()}*trianglePolygons(){const{triangles:t}=this;for(let e=0,n=t.length/3;e<n;++e)yield this.trianglePolygon(e)}trianglePolygon(t){const e=new JO;return this.renderTriangle(t,e),e.value()}}function nS(t){Br.call(this,null,t)}nS.Definition={type:"Voronoi",metadata:{modifies:!0},params:[{name:"x",type:"field",required:!0},{name:"y",type:"field",required:!0},{name:"size",type:"number",array:!0,length:2},{name:"extent",type:"array",array:!0,length:2,default:[[-1e5,-1e5],[1e5,1e5]],content:{type:"number",array:!0,length:2}},{name:"as",type:"string",default:"path"}]};const rS=[-1e5,-1e5,1e5,1e5];function iS(t){const e=t[0][0],n=t[0][1];let r=t.length-1;for(;t[r][0]===e&&t[r][1]===n;--r);return"M"+t.slice(0,r+1).join("L")+"Z"}Object(ct.y)(nS,Br).transform=function(t,e){const n=t.as||"path",r=e.source;if(!r||!r.length)return e;let i=t.size;i=i?[0,0,i[0],i[1]]:(i=t.extent)?[i[0][0],i[0][1],i[1][0],i[1][1]]:rS;const a=this.value=eS.from(r,t.x,t.y).voronoi(i);for(let t=0,e=r.length;t<e;++t){const e=a.cellPolygon(t);r[t][n]=e?iS(e):null}return e.reflow(t.modified()).modifies(n)};var aS=Math.PI/180,oS=64,sS=2048,uS=function(){var t,e,n,r,i,a,o,s=[256,256],u=hS,c=[],l=Math.random,f={};function 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jL={argmax:1,argmin:1,average:1,count:1,distinct:1,max:1,mean:1,median:1,min:1,missing:1,q1:1,q3:1,ci0:1,ci1:1,stderr:1,stdev:1,stdevp:1,sum:1,valid:1,values:1,variance:1,variancep:1},PL={count:1,min:1,max:1};function LL(t){return!!t&&!!t.argmin}function zL(t){return!!t&&!!t.argmax}JP(jL);function BL(t){return dP(t)&&!!jL[t]}const UL=["count","valid","missing","distinct"];function WL(t){return dP(t)&&VP(UL,t)}const VL=["count","sum","distinct","valid","missing"],qL=SP(["mean","average","median","q1","q3","min","max"]),HL="row",GL="column",$L="facet",KL="x",XL="y",YL="x2",JL="y2",ZL="latitude",QL="longitude",tz="latitude2",ez="longitude2",nz="color",rz="fill",iz="stroke",az="shape",oz="size",sz="opacity",uz="fillOpacity",cz="strokeOpacity",lz="strokeWidth",fz="text",dz="order",hz="detail",pz="key",mz="tooltip",gz="href",vz="url",yz={x:1,y:1,x2:1,y2:1};const bz={longitude:1,longitude2:1,latitude:1,latitude2:1};const xz=JP(bz),wz=Object.assign(Object.assign(Object.assign({},yz),bz),{color:1,fill:1,stroke:1,opacity:1,fillOpacity:1,strokeOpacity:1,strokeWidth:1,size:1,shape:1,order:1,text:1,detail:1,key:1,tooltip:1,href:1,url:1});function kz(t){return"color"===t||"fill"===t||"stroke"===t}const _z={row:1,column:1,facet:1},Ez=JP(_z),Oz=Object.assign(Object.assign({},wz),_z),Sz=JP(Oz),{order:Cz,detail:Az,tooltip:Nz}=Oz,Tz=b(Oz,["order","detail","tooltip"]),{row:Iz,column:Dz,facet:Mz}=Tz,Rz=b(Tz,["row","column","facet"]);JP(Tz),JP(Rz);function Fz(t){return!!Rz[t]}function jz(t){return!!Oz[t]}const Pz=["x2","y2","latitude2","longitude2"];function Lz(t){return zz(t)!==t}function zz(t){switch(t){case"x2":return"x";case"y2":return"y";case"latitude2":return"latitude";case"longitude2":return"longitude"}return t}function Bz(t){switch(t){case"x":return"x2";case"y":return"y2";case"latitude":return"latitude2";case"longitude":return"longitude2"}}const{x:Uz,y:Wz,x2:Vz,y2:qz,latitude:Hz,longitude:Gz,latitude2:$z,longitude2:Kz}=wz,Xz=(JP(wz),b(wz,["x","y","x2","y2","latitude","longitude","latitude2","longitude2"])),Yz=JP(Xz),Jz={x:1,y:1},Zz=JP(Jz);function Qz(t){return"x"===t?"width":"height"}function tB(t){return"width"===t?"x":"y"}const{text:eB,tooltip:nB,href:rB,url:iB,detail:aB,key:oB,order:sB}=Xz,uB=b(Xz,["text","tooltip","href","url","detail","key","order"]),cB=JP(uB);const lB=Object.assign(Object.assign({},Jz),uB),fB=JP(lB);function dB(t){return!!lB[t]}function hB(t,e){return function(t){switch(t){case nz:case rz:case iz:case hz:case pz:case mz:case gz:case dz:case sz:case uz:case cz:case lz:case $L:case HL:case GL:return pB;case KL:case XL:case ZL:case QL:return gB;case YL:case JL:case tz:case ez:return{area:"always",bar:"always",image:"always",rect:"always",rule:"always",circle:"binned",point:"binned",square:"binned",tick:"binned",line:"binned",trail:"binned"};case oz:return{point:"always",tick:"always",rule:"always",circle:"always",square:"always",bar:"always",text:"always",line:"always",trail:"always"};case az:return{point:"always",geoshape:"always"};case fz:return{text:"always"};case vz:return{image:"always"}}}(t)[e]}const pB={area:"always",bar:"always",circle:"always",geoshape:"always",image:"always",line:"always",rule:"always",point:"always",rect:"always",square:"always",trail:"always",text:"always",tick:"always"},{geoshape:mB}=pB,gB=b(pB,["geoshape"]);function vB(t){switch(t){case KL:case XL:case oz:case lz:case sz:case uz:case cz:case YL:case JL:return;case $L:case HL:case GL:case az:case fz:case mz:case gz:case vz:return"discrete";case nz:case rz:case iz:return"flexible";case ZL:case QL:case tz:case ez:case hz:case pz:case dz:return}}function yB(t){return`Invalid specification ${JSON.stringify(t)}. Make sure the specification includes at least one of the following properties: "mark", "layer", "facet", "hconcat", "vconcat", "concat", or "repeat".`}const bB='Autosize "fit" only works for single views and layered views.';function xB(t){return`${"width"==t?"Width":"Height"} "container" only works for single views and layered views.`}function wB(t){return`${"width"==t?"Width":"Height"} "container" only works well with autosize "fit" or "fit-x".`}function kB(t){return t?`Dropping "fit-${t}" because spec has discrete ${Qz(t)}.`:'Dropping "fit" because spec has discrete size.'}function _B(t){return`Cannot project a selection on encoding channel "${t}", which has no field.`}function EB(t,e){return`Cannot project a selection on encoding channel "${t}" as it uses an aggregate function ("${e}").`}function OB(t){return`The "nearest" transform is not supported for ${t} marks.`}function SB(t){return`Selection not supported for ${t} yet.`}function CB(t){return`Cannot find a selection named "${t}".`}const AB="Scale bindings are currently only supported for scales with unbinned, continuous domains.",NB="Legend bindings are only supported for selections over an individual field or encoding channel.";function TB(t){return`Cannot define and lookup the "${t}" selection in the same view. `+"Try moving the lookup into a second, layered view?"}function IB(t){return`Unknown repeated value "${t}".`}function DB(t){return`The "columns" property cannot be used when "${t}" has nested row/column.`}const MB="Axes cannot be shared in concatenated views yet (https://github.com/vega/vega-lite/issues/2415).",RB="Axes cannot be shared in repeated views yet (https://github.com/vega/vega-lite/issues/2415).";function FB(t){return`Unrecognized parse "${t}".`}function jB(t,e,n){return`An ancestor parsed field "${t}" as ${n} but a child wants to parse the field as ${e}.`}function PB(t){return`Ignoring an invalid transform: ${BP(t)}.`}const LB='If "from.fields" is not specified, "as" has to be a string that specifies the key to be used for the data from the secondary source.';function zB(t){return`Layer's shared ${t.join(",")} channel ${1===t.length?"is":"are"} overriden.`}function BB(t){const{parentProjection:e,projection:n}=t;return`Layer's shared projection ${BP(e)} is overridden by a child projection ${BP(n)}.`}function UB(t,e,n){return`Channel ${t} is a ${e}. Converted to {value: ${BP(n)}}.`}function WB(t){return`Invalid field type "${t}".`}function VB(t,e,n){return`A ${n.scaleType?`${n.scaleType} scale`:n.zeroFalse?"scale with zero=false":"scale with custom domain that excludes zero"} is used to encode ${t}'s ${e}. This can be misleading as the ${"x"===e?"width":"height"} of the ${t} can be arbitrary based on the scale domain. You may want to use point mark instead.`}function qB(t,e){return`Invalid field type "${t}" for aggregate: "${e}", using "quantitative" instead.`}function HB(t){return`Invalid aggregation operator "${t}".`}function GB(t,e){return`Missing type for channel "${t}", using "${e}" instead.`}function $B(t,e){const{fill:n,stroke:r}=e;return`Dropping color ${t} as the plot also has ${n&&r?"fill and stroke":n?"fill":"stroke"}.`}function KB(t,e){return`Dropping ${BP(t)} from channel "${e}" since it does not contain data field or value.`}function XB(t,e,n){return`${t}-encoding with type ${e} is deprecated. Replacing with ${n}-encoding.`}const YB="Line marks cannot encode size with a non-groupby field. You may want to use trail marks instead.";function JB(t,e,n){return`${t} dropped as it is incompatible with "${e}"${n?` when ${n}`:""}.`}function ZB(t){return`${t}-encoding is dropped as ${t} is not a valid encoding channel.`}function QB(t){return`${t} encoding should be discrete (ordinal / nominal / binned).`}function tU(t){return`Facet encoding dropped as ${t.join(" and ")} ${t.length>1?"are":"is"} also specified.`}function eU(t,e){return`Using discrete channel "${t}" to encode "${e}" field can be misleading as it does not encode ${"ordinal"===e?"order":"magnitude"}.`}function nU(t,e){return`Line mark is for continuous lines and thus cannot be used with ${t&&e?"x2 and y2":t?"x2":"y2"}. We will use the rule mark (line segments) instead.`}function rU(t,e){return`Specified orient "${t}" overridden with "${e}".`}const iU="Custom domain scale cannot be unioned with default field-based domain.",aU='Scale\'s "rangeStep" is deprecated and will be removed in Vega-Lite 5.0. Please use "width"/"height": {"step": ...} instead. See https://vega.github.io/vega-lite/docs/size.html.';function oU(t){return`Cannot use the scale property "${t}" with non-color channel.`}function sU(t){return`Using unaggregated domain with raw field has no effect (${BP(t)}).`}function uU(t){return`Unaggregated domain not applicable for "${t}" since it produces values outside the origin domain of the source data.`}function cU(t){return`Unaggregated domain is currently unsupported for log scale (${BP(t)}).`}function lU(t){return`Cannot apply size to non-oriented mark "${t}".`}function fU(t,e,n){return`Channel "${t}" does not work with "${e}" scale. We are using "${n}" scale instead.`}function dU(t,e){return`FieldDef does not work with "${t}" scale. We are using "${e}" scale instead.`}function hU(t,e,n){return`${n}-scale's "${e}" is dropped as it does not work with ${t} scale.`}function pU(t,e){return`Scale type "${e}" does not work with mark "${t}".`}function mU(t){return`The step for "${t}" is dropped because the ${"width"===t?"x":"y"} is continuous.`}function gU(t,e,n,r){return`Conflicting ${e.toString()} property "${t.toString()}" (${BP(n)} and ${BP(r)}). Using ${BP(n)}.`}function vU(t,e,n,r){return`Conflicting ${e.toString()} property "${t.toString()}" (${BP(n)} and ${BP(r)}). Using the union of the two domains.`}function yU(t){return`Setting the scale to be independent for "${t}" means we also have to set the guide (axis or legend) to be independent.`}function bU(t){return`Dropping sort property ${BP(t)} as unioned domains only support boolean or op "count", "min", and "max".`}const xU="Unable to merge domains.",wU="Domains that should be unioned has conflicting sort properties. Sort will be set to true.",kU="Invalid channel for axis.";function _U(t){return`Cannot stack "${t}" if there is already "${t}2".`}function EU(t){return`Cannot stack non-linear scale (${t}).`}function OU(t){return`Stacking is applied even though the aggregate function is non-summative ("${t}").`}function SU(t,e){return`Invalid ${t}: ${BP(e)}.`}function CU(t){return`Time unit "${t}" is not supported. We are replacing it with ${oL(t,"day","date")}.`}function AU(t){return`Dropping day from datetime ${BP(t)} as day cannot be combined with other units.`}function NU(t,e){return`${e?"extent ":""}${e&&t?"and ":""}${t?"center ":""}${e&&t?"are ":"is "}not needed when data are aggregated.`}function TU(t,e,n){return`${t} is not usually used with ${e} for ${n}.`}function IU(t,e){return`Continuous axis should not have customized aggregation function ${t}; ${e} already agregates the axis.`}function DU(t,e){return`Center is not needed to be specified in ${e} when extent is ${t}.`}function MU(t){return`1D error band does not support ${t}.`}function RU(t){return`Channel ${t} is required for "binned" bin.`}function FU(t){return`Domain for ${t} is required for threshold scale.`}const jU=m,PU=function(t,e){var n=t||0;return{level:function(t){return arguments.length?(n=+t,this):n},error:function(){return n>=1&&gP(e||"error","ERROR",arguments),this},warn:function(){return 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r=e.substr(0,3),i=qU.indexOf(r);if(-1!==i)return i+"";throw new Error(jU.invalidTimeUnit("month",t))}}(t.month):t.month;r.push(n)}else if(void 0!==t.quarter){const n=e?function(t){if(OP(t))return t>4&&BU(jU.invalidTimeUnit("quarter",t)),(t-1).toString();throw new Error(jU.invalidTimeUnit("quarter",t))}(t.quarter):t.quarter;r.push(n+"*3")}else r.push(0);if(void 0!==t.date)r.push(t.date);else if(void 0!==t.day){const n=e?function(t){if(OP(t))return t%7+"";{const e=t.toLowerCase(),n=HU.indexOf(e);if(-1!==n)return n+"";const r=e.substr(0,3),i=GU.indexOf(r);if(-1!==i)return i+"";throw new Error(jU.invalidTimeUnit("day",t))}}(t.day):t.day;r.push(n+"+1")}else r.push(1);for(const e of["hours","minutes","seconds","milliseconds"]){const n=t[e];r.push(void 0===n?0:n)}const i=r.join(", ");return n?t.utc?new Function(`return +new Date(Date.UTC(${i}))`)():new Function(`return +new Date(${i})`)():t.utc?`utc(${i})`:`datetime(${i})`}var KU;!function(t){t.YEAR="year",t.MONTH="month",t.DAY="day",t.DATE="date",t.HOURS="hours",t.MINUTES="minutes",t.SECONDS="seconds",t.MILLISECONDS="milliseconds",t.YEARMONTH="yearmonth",t.YEARMONTHDATE="yearmonthdate",t.YEARMONTHDATEHOURS="yearmonthdatehours",t.YEARMONTHDATEHOURSMINUTES="yearmonthdatehoursminutes",t.YEARMONTHDATEHOURSMINUTESSECONDS="yearmonthdatehoursminutesseconds",t.MONTHDATE="monthdate",t.MONTHDATEHOURS="monthdatehours",t.HOURSMINUTES="hoursminutes",t.HOURSMINUTESSECONDS="hoursminutesseconds",t.MINUTESSECONDS="minutesseconds",t.SECONDSMILLISECONDS="secondsmilliseconds",t.QUARTER="quarter",t.YEARQUARTER="yearquarter",t.QUARTERMONTH="quartermonth",t.YEARQUARTERMONTH="yearquartermonth",t.UTCYEAR="utcyear",t.UTCMONTH="utcmonth",t.UTCDAY="utcday",t.UTCDATE="utcdate",t.UTCHOURS="utchours",t.UTCMINUTES="utcminutes",t.UTCSECONDS="utcseconds",t.UTCMILLISECONDS="utcmilliseconds",t.UTCYEARMONTH="utcyearmonth",t.UTCYEARMONTHDATE="utcyearmonthdate",t.UTCYEARMONTHDATEHOURS="utcyearmonthdatehours",t.UTCYEARMONTHDATEHOURSMINUTES="utcyearmonthdatehoursminutes",t.UTCYEARMONTHDATEHOURSMINUTESSECONDS="utcyearmonthdatehoursminutesseconds",t.UTCMONTHDATE="utcmonthdate",t.UTCMONTHDATEHOURS="utcmonthdatehours",t.UTCHOURSMINUTES="utchoursminutes",t.UTCHOURSMINUTESSECONDS="utchoursminutesseconds",t.UTCMINUTESSECONDS="utcminutesseconds",t.UTCSECONDSMILLISECONDS="utcsecondsmilliseconds",t.UTCQUARTER="utcquarter",t.UTCYEARQUARTER="utcyearquarter",t.UTCQUARTERMONTH="utcquartermonth",t.UTCYEARQUARTERMONTH="utcyearquartermonth"}(KU||(KU={}));const XU={year:1,quarter:1,month:1,day:1,date:1,hours:1,minutes:1,seconds:1,milliseconds:1},YU=JP(XU);const JU={utcyear:1,utcquarter:1,utcmonth:1,utcday:1,utcdate:1,utchours:1,utcminutes:1,utcseconds:1,utcmilliseconds:1};const ZU={utcyearquarter:1,utcyearquartermonth:1,utcyearmonth:1,utcyearmonthdate:1,utcyearmonthdatehours:1,utcyearmonthdatehoursminutes:1,utcyearmonthdatehoursminutesseconds:1,utcquartermonth:1,utcmonthdate:1,utcmonthdatehours:1,utchoursminutes:1,utchoursminutesseconds:1,utcminutesseconds:1,utcsecondsmilliseconds:1},QU=Object.assign(Object.assign({},JU),ZU);const tW=Object.assign(Object.assign(Object.assign(Object.assign({},XU),JU),{yearquarter:1,yearquartermonth:1,yearmonth:1,yearmonthdate:1,yearmonthdatehours:1,yearmonthdatehoursminutes:1,yearmonthdatehoursminutesseconds:1,quartermonth:1,monthdate:1,monthdatehours:1,hoursminutes:1,hoursminutesseconds:1,minutesseconds:1,secondsmilliseconds:1}),ZU),eW=(JP(tW),{"year-month":"%b %Y ","year-month-date":"%b %d, %Y "});function nW(t){return YU.reduce((e,n)=>rW(t,n)?[...e,n]:e,[])}function rW(t,e){const n=t.indexOf(e);return n>-1&&(e!==KU.SECONDS||0===n||"i"!==t.charAt(n-1))}function iW(t,e,{end:n}={end:!1}){const r=iL(e),i=function(t){return!!QU[t]}(t)?"utc":"";let a;const o=YU.reduce((e,n)=>(rW(t,n)&&(e[n]=function(t){return t===KU.QUARTER?`(${i}quarter(${r})-1)`:`${i}${t}(${r})`}(n),a=n),e),{});return n&&(o[a]+="+1"),$U(o)}function aW(t,e,n){if(!t)return;const r=function(t){if(!t)return;const e=nW(t);return`timeUnitSpecifier(${DP()(e)}, ${DP()(eW)})`}(t);return n?`utcFormat(${e}, ${r})`:`timeFormat(${e}, ${r})`}function oW(t){return"day"!==t&&t.indexOf("day")>=0?(BU(jU.dayReplacedWithDate(t)),oL(t,"day","date")):t}function sW(t){return t&&!!t.field&&void 0!==t.equal}function uW(t){return t&&!!t.field&&void 0!==t.lt}function cW(t){return t&&!!t.field&&void 0!==t.lte}function lW(t){return t&&!!t.field&&void 0!==t.gt}function fW(t){return t&&!!t.field&&void 0!==t.gte}function 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OG(t,e={}){const{encoding:n,markDef:r,config:i}=t,a=n.tooltip;return lP(a)?{tooltip:SG({tooltip:a},i,e)}:hG(t,a,"tooltip",a=>{const o=EG(a,t.config,e.reactiveGeom?"datum.datum":"datum");if(o)return o;if(null===a)return;let s=uL(r.tooltip,iV("tooltip",r,i));return!0===s&&(s={content:"encoding"}),dP(s)?{value:s}:fP(s)?"encoding"===s.content?SG(n,i,e):{signal:"datum"}:void 0})}function SG(t,e,{reactiveGeom:n}={}){const r=[],i={},a={},o=n?"datum.datum":"datum",s=[];function u(n,r){const i=zz(r),u=IV(n)?n:Object.assign(Object.assign({},n),{type:t[i].type}),c=xP(VV(u,e,{allowDisabling:!1})).join(", ");let l=EG(u,e,o).signal;if("x"===r||"y"===r){const n="x"===r?"x2":"y2",i=$V(t[n]);if(aq(u.bin)&&i){l=lV(PV(u,{expr:o}),PV(i,{expr:o}),GV(u),e),a[n]=!0}}s.push({channel:r,key:c,value:l})}hq(t,(t,e)=>{TV(t)?u(t,e):NV(t)&&u(t.condition,e)});for(const{channel:t,key:e,value:n}of s)a[t]||i[e]||(r.push(`${hP(e)}: ${n}`),i[e]=!0);return r.length>0?{signal:`{${r.join(", ")}}`}:void 0}function CG(t,e){const n=e[t+"Offset"];if(n)return n}function AG(t,e,{defaultPos:n,vgChannel:r}){const{encoding:i,mark:a,markDef:o,config:s,stack:u}=e,c=i[t],l=i[t===KL?YL:JL],f=e.scaleName(t),d=e.getScaleComponent(t),h=CG(t,e.markDef),p=NG({model:e,markDef:o,config:s,defaultPos:n,channel:t,scaleName:f,scale:d,mark:a,checkBarAreaWithoutZero:!l}),m=c||!i.latitude&&!i.longitude?function(t){const{channel:e,channelDef:n,scaleName:r,stack:i,offset:a}=t;if(TV(n)&&i&&e===i.fieldChannel)return FV(n)&&void 0!==n.band?yG({scaleName:r,fieldDef:n,startSuffix:"start",band:n.band,offset:0}):vG(n,r,{suffix:"end"},{offset:a});return pG(t)}({channel:t,channelDef:c,channel2Def:l,markDef:o,config:s,scaleName:f,scale:d,stack:u,offset:h,defaultRef:p}):{field:e.getName(t)};return{[null!==r&&void 0!==r?r:t]:m}}function NG({model:t,markDef:e,config:n,defaultPos:r,channel:i,scaleName:a,scale:o,mark:s,checkBarAreaWithoutZero:u}){return()=>{const c=zz(i),l=uL(e[i],iV(i,e,n));if(void 0!==l)return 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iq(t.bin)||t.timeUnit?{[c]:zG({channel:n,fieldDef:t,scaleName:i,markDef:a,band:(1-r)/2,offset:u[`${n}2`]}),[n]:zG({channel:n,fieldDef:t,scaleName:i,markDef:a,band:1-(1-r)/2,offset:u[n]})}:aq(t.bin)&&TV(e)?{[c]:vG(t,i,{},{offset:u[`${n}2`]}),[n]:vG(e,i,{},{offset:u[n]})}:void BU(jU.channelRequiredForBinned(c))}({fieldDef:d,fieldDef2:h,channel:e,markDef:c,scaleName:g,band:SV(e,d,void 0,c,s),spacing:uL(c.binSpacing,s[n].binSpacing),reverse:p.get("reverse")})}if((TV(d)&&jW(m)||b)&&!h){if(TV(d)&&m===OW.BAND){return function(t,e,n,r){var i;const a=n.scaleName(e),o="x"===e?"width":"height",{markDef:s,encoding:u,config:c}=n,l={[DG(e,s,c)]:vG(t,a,{},{band:.5})};if(u.size||null!==s.size&&void 0!==s.size){const t=s.orient;if(t){if(KV(u.size)||MV(u.size))return Object.assign(Object.assign({},l),wG("size",n,{vgChannel:o}));if(void 0!==s.size)return Object.assign(Object.assign({},l),{[o]:{value:s.size}})}else BU(jU.cannotApplySizeToNonOrientedMark(s.type))}if(void 0!==(null===(i=r)||void 0===i?void 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FK(t,e,n,r){switch(e){case"values":return!!n.values;case"title":if("title"===e&&t===r.title)return!0}return t===n[e]}function jK(t,e,n,r){const{encoding:i,mark:a}=r,o=KV(i[n]),s=r.config.legend,{timeUnit:u}=o,c=r.getScaleComponent(n).get("type");switch(t){case"direction":return _K({legend:e,legendConfig:s,timeUnit:u,channel:n,scaleType:c});case"format":if(QV(o))return;return sV(o,e.format,r.config);case"formatType":if(QV(o))return;return e.formatType;case"gradientLength":return uL(e.gradientLength,s.gradientLength,function({legend:t,legendConfig:e,model:n,channel:r,scaleType:i}){const{gradientHorizontalMaxLength:a,gradientHorizontalMinLength:o,gradientVerticalMaxLength:s,gradientVerticalMinLength:u}=e;if("horizontal"===_K({legend:t,legendConfig:e,channel:r,scaleType:i})){const r=uL(t.orient,e.orient);return"top"===r||"bottom"===r?EK(n,"width",o,a):o}return EK(n,"height",u,s)}({model:r,legend:e,legendConfig:s,channel:n,scaleType:c}));case"labelOverlap":return uL(e.labelOverlap,function(t){if(VP(["quantile","threshold","log"],t))return"greedy"}(c));case"symbolType":return uL(e.symbolType,function(t,e,n,r){var i;if("shape"!==e){const t=null!==(i=IK(n))&&void 0!==i?i:r;if(t)return t}switch(t){case"bar":case"rect":case"image":case"square":return"square";case"line":case"trail":case"rule":return"stroke";case"point":case"circle":case"tick":case"geoshape":case"area":case"text":return"circle"}}(a,n,i.shape,r.markDef.shape));case"title":return VV(o,r.config,{allowDisabling:!0})||void 0;case"type":return wK({legend:e,channel:n,timeUnit:u,scaleType:c,alwaysReturn:!1});case"values":return function(t,e){const n=t.values;if(n)return eq(e,n)}(e,o)}return e[t]}function PK(t,e){var n,r,i,a,o,s;if(!t)return e.clone();const u=t.getWithExplicit("orient"),c=e.getWithExplicit("orient");if(u.explicit&&c.explicit&&u.value!==c.value)return;let l=!1;for(const n of bK){const r=vK(t.getWithExplicit(n),e.getWithExplicit(n),n,"legend",(t,e)=>{switch(n){case"symbolType":return LK(t,e);case"title":return mV(t,e);case"type":return l=!0,pK("symbol")}return gK(t,e,n,"legend")});t.setWithExplicit(n,r)}return l&&((null===(i=null===(r=null===(n=t.implicit)||void 0===n?void 0:n.encode)||void 0===r?void 0:r.gradient)||void 0===i||i)&&nL(t.implicit,["encode","gradient"]),(null===(s=null===(o=null===(a=t.explicit)||void 0===a?void 0:a.encode)||void 0===o?void 0:o.gradient)||void 0===s||s)&&nL(t.explicit,["encode","gradient"])),t}function LK(t,e){return"circle"===e.value?e:t}function zK(t){const e=t.component.legends,n={};for(const r of JP(e)){const i=t.getScaleComponent(r),a=BP(i.get("domains"));if(n[a])for(const t of n[a]){PK(t,e[r])||n[a].push(e[r])}else n[a]=[e[r].clone()]}return ZP(n).flat().map(t=>{var e,n,r,i;const a=t.combine(),{labelExpr:o,selections:s}=a,u=b(a,["labelExpr","selections"]);if(null===(e=u.encode)||void 0===e?void 0:e.symbols){const t=u.encode.symbols.update;!t.fill||"transparent"===t.fill.value||t.stroke||u.stroke||(t.stroke={value:"transparent"}),u.fill&&delete t.fill}if(void 0!==o){let t=o;(null===(i=null===(r=null===(n=u.encode)||void 0===n?void 0:n.labels)||void 0===r?void 0:r.update)||void 0===i?void 0:i.text)&&rG(u.encode.labels.update.text)&&(t=oL(o,"datum.label",u.encode.labels.update.text.signal)),function(t,e,n,r){var i,a,o;t.encode=null!==(i=t.encode)&&void 0!==i?i:{},t.encode[e]=null!==(a=t.encode[e])&&void 0!==a?a:{},t.encode[e].update=null!==(o=t.encode[e].update)&&void 0!==o?o:{},t.encode[e].update[n]=r}(u,"labels","text",{signal:t})}return u})}function BK(t){return oY(t)||aY(t)||iY(t)?function(t){return t.children.reduce((t,e)=>t.concat(e.assembleProjections()),UK(t))}(t):UK(t)}function UK(t){const e=t.component.projection;if(!e||e.merged)return[];const n=e.combine(),{name:r}=n,i=b(n,["name"]);if(e.data){const n={signal:`[${e.size.map(t=>t.signal).join(", ")}]`},a=e.data.reduce((e,n)=>{const r=rG(n)?n.signal:`data('${t.lookupDataSource(n)}')`;return VP(e,r)||e.push(r),e},[]);if(a.length<=0)throw new Error("Projection's fit didn't find any data sources");return[Object.assign({name:r,size:n,fit:{signal:a.length>1?`[${a.join(", ")}]`:a[0]}},i)]}return[Object.assign(Object.assign({name:r},{translate:{signal:"[width / 2, height / 2]"}}),i)]}const WK=["type","clipAngle","clipExtent","center","rotate","precision","reflectX","reflectY","coefficient","distance","fraction","lobes","parallel","radius","ratio","spacing","tilt"];class VK extends dK{constructor(t,e,n,r){super(Object.assign({},e),{name:t}),this.specifiedProjection=e,this.size=n,this.data=r,this.merged=!1}get isFit(){return!!this.data}}function qK(t){t.component.projection=nY(t)?function(t){var e;if(t.hasProjection){const n=t.specifiedProjection,r=!(n&&(null!=n.scale||null!=n.translate)),i=r?[t.getSizeSignalRef("width"),t.getSizeSignalRef("height")]:void 0,a=r?function(t){const e=[];for(const n of[[QL,ZL],[ez,tz]])(t.channelHasField(n[0])||t.channelHasField(n[1]))&&e.push({signal:t.getName(`geojson_${e.length}`)});t.channelHasField(az)&&t.fieldDef(az).type===EW&&e.push({signal:t.getName(`geojson_${e.length}`)});0===e.length&&e.push(t.requestDataName(jH));return e}(t):void 0;return new VK(t.projectionName(!0),Object.assign(Object.assign({},null!==(e=t.config.projection)&&void 0!==e?e:{}),null!==n&&void 0!==n?n:{}),i,a)}return}(t):function(t){if(0===t.children.length)return;let e;t.children.forEach(t=>qK(t));const n=HP(t.children,t=>{const n=t.component.projection;if(n){if(e){const t=function(t,e){const n=HP(WK,n=>!_P(t.explicit,n)&&!_P(e.explicit,n)||!(!_P(t.explicit,n)||!_P(e.explicit,n)||BP(t.get(n))!==BP(e.get(n))));if(BP(t.size)===BP(e.size)){if(n)return t;if(BP(t.explicit)===BP({}))return e;if(BP(e.explicit)===BP({}))return t}return null}(e,n);return t&&(e=t),!!t}return e=n,!0}return!0});if(e&&n){const n=t.projectionName(!0),r=new VK(n,e.specifiedProjection,e.size,PP(e.data));return t.children.forEach(t=>{const e=t.component.projection;e&&(e.isFit&&r.data.push(...t.component.projection.data),t.renameProjection(e.get("name"),n),e.merged=!0)}),r}return}(t)}function HK(t,e){return`${rq(t)}_${e}`}function GK(t,e,n){var r;const i=HK(null!==(r=JV(n,void 0))&&void 0!==r?r:{},e);return t.getName(`${i}_bins`)}function $K(t,e,n){let r,i;r=function(t){return"as"in t}(t)?dP(t.as)?[t.as,`${t.as}_end`]:[t.as[0],t.as[1]]:[PV(t,{forAs:!0}),PV(t,{binSuffix:"end",forAs:!0})];const a=Object.assign({},JV(e,void 0)),o=HK(a,t.field),{signal:s,extentSignal:u}=function(t,e){return{signal:t.getName(`${e}_bins`),extentSignal:t.getName(`${e}_extent`)}}(n,o);if(sq(a.extent)){const t=a.extent,e=t.selection;i=T$(n.getSelectionComponent(tL(e),e),t),delete a.extent}return{key:o,binComponent:Object.assign(Object.assign(Object.assign({bin:a,field:t.field,as:[r]},s?{signal:s}:{}),u?{extentSignal:u}:{}),i?{span:i}:{})}}class KK extends HG{constructor(t,e){super(t),this.bins=e}clone(){return new KK(null,PP(this.bins))}static makeFromEncoding(t,e){const n=e.reduceFieldDef((t,n,r)=>{if(IV(n)&&iq(n.bin)){const{key:i,binComponent:a}=$K(n,n.bin,e);t[i]=Object.assign(Object.assign(Object.assign({},a),t[i]),function(t,e,n,r){var i,a;if(nq(e,n)){const o=nY(t)&&null!==(a=null!==(i=t.axis(n))&&void 0!==i?i:t.legend(n))&&void 0!==a?a:{},s=PV(e,{expr:"datum"}),u=PV(e,{expr:"datum",binSuffix:"end"});return{formulaAs:PV(e,{binSuffix:"range",forAs:!0}),formula:lV(s,u,o.format,r)}}return{}}(e,n,r,e.config))}return t},{});return 0===JP(n).length?null:new KK(t,n)}static makeFromTransform(t,e,n){const{key:r,binComponent:i}=$K(e,e.bin,n);return new KK(t,{[r]:i})}merge(t,e){for(const n of JP(t.bins))n in this.bins?(e(t.bins[n].signal,this.bins[n].signal),this.bins[n].as=$P([...this.bins[n].as,...t.bins[n].as],UP)):this.bins[n]=t.bins[n];for(const e of t.children)t.removeChild(e),e.parent=this;t.remove()}producedFields(){return new Set(ZP(this.bins).map(t=>t.as).flat(2))}dependentFields(){return new Set(ZP(this.bins).map(t=>t.field))}hash(){return`Bin ${UP(this.bins)}`}assemble(){return ZP(this.bins).flatMap(t=>{const e=[],[n,...r]=t.as,i=t.bin,{extent:a}=i,o=b(i,["extent"]),s=Object.assign(Object.assign(Object.assign({type:"bin",field:aL(t.field),as:n,signal:t.signal},sq(a)?{extent:null}:{extent:a}),t.span?{span:{signal:`span(${t.span})`}}:{}),o);!a&&t.extentSignal&&(e.push({type:"extent",field:aL(t.field),signal:t.extentSignal}),s.extent={signal:t.extentSignal}),e.push(s);for(const t of r)for(let r=0;r<2;r++)e.push({type:"formula",expr:PV({field:n[r]},{expr:"datum"}),as:t[r]});return t.formula&&e.push({type:"formula",expr:t.formula,as:t.formulaAs}),e})}}class XK extends HG{constructor(t){let e;if(super(null),DH(t=null!==t&&void 0!==t?t:{name:"source"})||(e=t.format?Object.assign({},zP(t.format,["parse"])):{}),TH(t))this._data={values:t.values};else if(NH(t)){if(this._data={url:t.url},!e.type){let n=/(?:\.([^.]+))?$/.exec(t.url)[1];VP(["json","csv","tsv","dsv","topojson"],n)||(n="json"),e.type=n}}else RH(t)?this._data={values:[{type:"Sphere"}]}:(IH(t)||DH(t))&&(this._data={});this._generator=DH(t),t.name&&(this._name=t.name),e&&JP(e).length>0&&(this._data.format=e)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(t){this._name=t}set parent(t){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return Object.assign(Object.assign({name:this._name},this._data),{transform:[]})}}function YK(t){for(const e of t){for(const t of e.children)if(t.parent!==e)return console.error("Dataflow graph is inconsistent.",e,t),!1;if(!YK(e.children))return!1}return!0}class JK extends HG{constructor(t,e){super(t),this.params=e}clone(){return new JK(null,this.params)}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${UP(this.params)}`}assemble(){return Object.assign({type:"graticule"},!0===this.params?{}:this.params)}}class ZK extends HG{constructor(t,e){super(t),this.params=e}clone(){return new ZK(null,this.params)}dependentFields(){return new Set}producedFields(){var t;return new Set([(t=this.params.as,null!==t&&void 0!==t?t:"data")])}hash(){return`Hash ${UP(this.params)}`}assemble(){return Object.assign({type:"sequence"},this.params)}}function QK(t){return t instanceof XK||t instanceof JK||t instanceof ZK}class tX{constructor(){this._mutated=!1}setMutated(){this._mutated=!0}get mutatedFlag(){return this._mutated}}class eX extends tX{constructor(){super(),this._continue=!1}setContinue(){this._continue=!0}get continueFlag(){return this._continue}get flags(){return{continueFlag:this.continueFlag,mutatedFlag:this.mutatedFlag}}set flags({continueFlag:t,mutatedFlag:e}){t&&this.setContinue(),e&&this.setMutated()}reset(){}optimizeNextFromLeaves(t){if(QK(t))return!1;const e=t.parent,{continueFlag:n}=this.run(t);return n&&this.optimizeNextFromLeaves(e),this.mutatedFlag}}class nX extends tX{}function rX(t,e,n,r){const i=nY(r)?r.encoding[Bz(e)]:void 0;if(IV(n)&&nY(r)&&CV(e,n,i,r.markDef,r.config))t.add(PV(n,{})),t.add(PV(n,{suffix:"end"})),nq(n,e)&&t.add(PV(n,{binSuffix:"range"}));else if(function(t){return t in bz}(e)){const n=function(t){switch(t){case ZL:return"y";case tz:return"y2";case QL:return"x";case ez:return"x2"}}(e);t.add(r.getName(n))}else t.add(PV(n));return t}class iX extends HG{constructor(t,e,n){super(t),this.dimensions=e,this.measures=n}clone(){return new iX(null,new Set(this.dimensions),PP(this.measures))}get groupBy(){return this.dimensions}static makeFromEncoding(t,e){let n=!1;e.forEachFieldDef(t=>{t.aggregate&&(n=!0)});const r={},i=new Set;return n?(e.forEachFieldDef((t,n)=>{var a,o,s,u;const{aggregate:c,field:l}=t;if(c)if("count"===c)r["*"]=null!==(a=r["*"])&&void 0!==a?a:{},r["*"].count=new Set([PV(t,{forAs:!0})]);else{if(LL(c)||zL(c)){const t=LL(c)?"argmin":"argmax",e=c[t];r[e]=null!==(o=r[e])&&void 0!==o?o:{},r[e][t]=new Set([PV({op:t,field:e},{forAs:!0})])}else r[l]=null!==(s=r[l])&&void 0!==s?s:{},r[l][c]=new Set([PV(t,{forAs:!0})]);dB(n)&&"unaggregated"===e.scaleDomain(n)&&(r[l]=null!==(u=r[l])&&void 0!==u?u:{},r[l].min=new Set([PV({field:l,aggregate:"min"},{forAs:!0})]),r[l].max=new Set([PV({field:l,aggregate:"max"},{forAs:!0})]))}else rX(i,n,t,e)}),i.size+JP(r).length===0?null:new iX(t,i,r)):null}static makeFromTransform(t,e){var n,r,i;const a=new Set,o={};for(const t of e.aggregate){const{op:e,field:i,as:a}=t;e&&("count"===e?(o["*"]=null!==(n=o["*"])&&void 0!==n?n:{},o["*"].count=new Set([a||PV(t,{forAs:!0})])):(o[i]=null!==(r=o[i])&&void 0!==r?r:{},o[i][e]=new Set([a||PV(t,{forAs:!0})])))}for(const t of null!==(i=e.groupby)&&void 0!==i?i:[])a.add(t);return a.size+JP(o).length===0?null:new iX(t,a,o)}merge(t){return function(t,e){if(t.size!==e.size)return!1;for(const n of t)if(!e.has(n))return!1;return!0}(this.dimensions,t.dimensions)?(function(t,e){var n;for(const r of JP(e)){const i=e[r];for(const e of JP(i))r in t?t[r][e]=new Set([...(n=t[r][e],null!==n&&void 0!==n?n:[]),...i[e]]):t[r]={[e]:i[e]}}}(this.measures,t.measures),!0):(function(...t){LU.debug(...t)}("different dimensions, cannot merge"),!1)}addDimensions(t){t.forEach(this.dimensions.add,this.dimensions)}dependentFields(){return new Set([...this.dimensions,...JP(this.measures)])}producedFields(){const t=new Set;for(const e of JP(this.measures))for(const n of JP(this.measures[e])){const r=this.measures[e][n];0===r.size?t.add(`${n}_${e}`):r.forEach(t.add,t)}return t}hash(){return`Aggregate ${UP({dimensions:this.dimensions,measures:this.measures})}`}assemble(){const t=[],e=[],n=[];for(const r of JP(this.measures))for(const i of JP(this.measures[r]))for(const a of this.measures[r][i])n.push(a),t.push(i),e.push("*"===r?null:aL(r));return{type:"aggregate",groupby:[...this.dimensions],ops:t,fields:e,as:n}}}class aX extends HG{constructor(t,e,n,r){super(t),this.model=e,this.name=n,this.data=r;for(const t of Ez){const n=e.facet[t];if(n){const{bin:r,sort:i}=n;this[t]=Object.assign({name:e.getName(`${t}_domain`),fields:[PV(n),...iq(r)?[PV(n,{binSuffix:"end"})]:[]]},xV(i)?{sortField:i}:lP(i)?{sortIndexField:q$(n,t)}:{})}}this.childModel=e.child}hash(){let t="Facet";for(const e of Ez)this[e]&&(t+=` ${e.charAt(0)}:${UP(this[e])}`);return t}get fields(){var t;const e=[];for(const n of Ez)(null===(t=this[n])||void 0===t?void 0:t.fields)&&e.push(...this[n].fields);return e}dependentFields(){const t=new Set(this.fields);for(const e of Ez)this[e]&&(this[e].sortField&&t.add(this[e].sortField.field),this[e].sortIndexField&&t.add(this[e].sortIndexField));return t}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const t={};for(const e of["x","y"]){const n=this.childModel.component.scales[e];if(n&&!n.merged){const r=n.get("type"),i=n.get("range");if(jW(r)&&iG(i)){const n=LX(zX(this.childModel,e));n?t[e]=n:BU(`Unknown field for ${e}. Cannot calculate view size.`)}}}return t}assembleRowColumnHeaderData(t,e,n){const r={row:"y",column:"x"}[t],i=[],a=[],o=[];n&&n[r]&&(e?(i.push(`distinct_${n[r]}`),a.push("max")):(i.push(n[r]),a.push("distinct")),o.push(`distinct_${n[r]}`));const{sortField:s,sortIndexField:u}=this[t];if(s){const{op:t=gV,field:e}=s;i.push(e),a.push(t),o.push(PV(s,{forAs:!0}))}else u&&(i.push(u),a.push("max"),o.push(u));return{name:this[t].name,source:null!==e&&void 0!==e?e:this.data,transform:[Object.assign({type:"aggregate",groupby:this[t].fields},i.length?{fields:i,ops:a,as:o}:{})]}}assembleFacetHeaderData(t){var e,n;const{columns:r}=this.model.layout,{layoutHeaders:i}=this.model.component,a=[],o={};for(const t of K$){for(const r of X$){const a=null!==(e=i[t]&&i[t][r])&&void 0!==e?e:[];for(const e of a)if((null===(n=e.axes)||void 0===n?void 0:n.length)>0){o[t]=!0;break}}if(o[t]){const e=`length(data("${this.facet.name}"))`,n="row"===t?r?{signal:`ceil(${e} / ${r})`}:1:r?{signal:`min(${e}, ${r})`}:{signal:e};a.push({name:`${this.facet.name}_${t}`,transform:[{type:"sequence",start:0,stop:n}]})}}const{row:s,column:u}=o;return(s||u)&&a.unshift(this.assembleRowColumnHeaderData("facet",null,t)),a}assemble(){var t,e;const n=[];let r=null;const i=this.getChildIndependentFieldsWithStep(),{column:a,row:o,facet:s}=this;if(a&&o&&(i.x||i.y)){r=`cross_${this.column.name}_${this.row.name}`;const a=[].concat(null!==(t=i.x)&&void 0!==t?t:[],null!==(e=i.y)&&void 0!==e?e:[]),o=a.map(()=>"distinct");n.push({name:r,source:this.data,transform:[{type:"aggregate",groupby:this.fields,fields:a,ops:o}]})}for(const t of[GL,HL])this[t]&&n.push(this.assembleRowColumnHeaderData(t,r,i));if(s){const t=this.assembleFacetHeaderData(i);t&&n.push(...t)}return n}}function oX(t){return"'"===t[0]&&"'"===t[t.length-1]||'"'===t[0]&&'"'===t[t.length-1]?t.slice(1,-1):t}function sX(t){const e={};return function t(e,n){if(FP(e))t(e.not,n);else if(RP(e))for(const r of e.and)t(r,n);else if(MP(e))for(const r of e.or)t(r,n);else n(e)}(t.filter,t=>{var n;if(pW(t)){let r=null;sW(t)?r=t.equal:dW(t)?r=t.range[0]:hW(t)&&(r=(n=t.oneOf,null!==n&&void 0!==n?n:t.in)[0]),r&&(WU(r)?e[t.field]="date":OP(r)?e[t.field]="number":dP(r)&&(e[t.field]="string")),t.timeUnit&&(e[t.field]="date")}}),e}function uX(t){const e={};function n(t){QV(t)?e[t.field]="date":"quantitative"===t.type&&function(t){return dP(t)&&VP(["min","max"],t)}(t.aggregate)?e[t.field]="number":sL(t.field)>1?t.field in e||(e[t.field]="flatten"):RV(t)&&xV(t.sort)&&sL(t.sort.field)>1&&(t.sort.field in e||(e[t.sort.field]="flatten"))}if((nY(t)||rY(t))&&t.forEachFieldDef((e,r)=>{if(IV(e))n(e);else{const i=zz(r),a=t.fieldDef(i);n(Object.assign(Object.assign({},e),{type:a.type}))}}),nY(t)){const{mark:n,markDef:r,encoding:i}=t;if(SL(n)&&!t.encoding.order){const t=i["horizontal"===r.orient?"y":"x"];!TV(t)||"quantitative"!==t.type||t.field in e||(e[t.field]="number")}}return e}class cX extends HG{constructor(t,e){super(t),this._parse=e}clone(){return new cX(null,PP(this._parse))}hash(){return`Parse ${UP(this._parse)}`}static makeExplicit(t,e,n){let r={};const i=e.data;return!DH(i)&&i&&i.format&&i.format.parse&&(r=i.format.parse),this.makeWithAncestors(t,r,{},n)}static makeWithAncestors(t,e,n,r){for(const t of JP(n)){const e=r.getWithExplicit(t);void 0!==e.value&&(e.explicit||e.value===n[t]||"derived"===e.value||"flatten"===n[t]?delete n[t]:BU(jU.differentParse(t,n[t],e.value)))}for(const t of JP(e)){const n=r.get(t);void 0!==n&&(n===e[t]?delete e[t]:BU(jU.differentParse(t,e[t],n)))}const i=new dK(e,n);r.copyAll(i);const a={};for(const t of JP(i.combine())){const e=i.get(t);null!==e&&(a[t]=e)}return 0===JP(a).length||r.parseNothing?null:new cX(t,a)}get parse(){return this._parse}merge(t){this._parse=Object.assign(Object.assign({},this._parse),t.parse),t.remove()}assembleFormatParse(){const t={};for(const e of JP(this._parse)){const n=this._parse[e];1===sL(e)&&(t[e]=n)}return t}producedFields(){return new Set(JP(this._parse))}dependentFields(){return new Set(JP(this._parse))}assembleTransforms(t=!1){return JP(this._parse).filter(e=>!t||sL(e)>1).map(t=>{const e=function(t,e){const n=iL(t);if("number"===e)return`toNumber(${n})`;if("boolean"===e)return`toBoolean(${n})`;if("string"===e)return`toString(${n})`;if("date"===e)return`toDate(${n})`;if("flatten"===e)return n;if(0===e.indexOf("date:"))return`timeParse(${n},'${oX(e.slice(5,e.length))}')`;if(0===e.indexOf("utc:"))return`utcParse(${n},'${oX(e.slice(4,e.length))}')`;return BU(jU.unrecognizedParse(e)),null}(t,this._parse[t]);return e?{type:"formula",expr:e,as:function(t){return`${cP(t).join(".")}`}(t)}:null}).filter(t=>null!==t)}}class lX extends HG{constructor(t,e){super(t),this.transform=e}clone(){return new lX(null,PP(this.transform))}addDimensions(t){this.transform.groupby=$P(this.transform.groupby.concat(t),t=>t)}dependentFields(){const t=new Set;return this.transform.groupby&&this.transform.groupby.forEach(e=>t.add(e)),this.transform.joinaggregate.map(t=>t.field).filter(t=>void 0!==t).forEach(e=>t.add(e)),t}producedFields(){return new Set(this.transform.joinaggregate.map(this.getDefaultName))}getDefaultName(t){var e;return null!==(e=t.as)&&void 0!==e?e:PV(t)}hash(){return`JoinAggregateTransform ${UP(this.transform)}`}assemble(){const t=[],e=[],n=[];for(const r of this.transform.joinaggregate)e.push(r.op),n.push(this.getDefaultName(r)),t.push(void 0===r.field?null:r.field);const r=this.transform.groupby;return Object.assign({type:"joinaggregate",as:n,ops:e,fields:t},void 0!==r?{groupby:r}:{})}}class fX extends HG{constructor(t,e){super(t),this._stack=e}clone(){return new fX(null,PP(this._stack))}static makeFromTransform(t,e){const{stack:n,groupby:r,as:i,offset:a="zero"}=e,o=[],s=[];if(void 0!==e.sort)for(const t of e.sort)o.push(t.field),s.push(uL(t.order,"ascending"));const u={field:o,order:s};let c;return c=function(t){return lP(t)&&t.every(t=>dP(t))&&t.length>1}(i)?i:dP(i)?[i,i+"_end"]:[e.stack+"_start",e.stack+"_end"],new fX(t,{stackField:n,groupby:r,offset:a,sort:u,facetby:[],as:c})}static makeFromEncoding(t,e){const n=e.stack,{encoding:r}=e;if(!n)return null;let i;if(n.groupbyChannel){i=KV(r[n.groupbyChannel])}const a=function(t){return t.stack.stackBy.reduce((t,e)=>{const n=PV(e.fieldDef);return n&&t.push(n),t},[])}(e),o=e.encoding.order;let s;return s=lP(o)||TV(o)?dV(o):a.reduce((t,e)=>(t.field.push(e),t.order.push("descending"),t),{field:[],order:[]}),new fX(t,{dimensionFieldDef:i,stackField:e.vgField(n.fieldChannel),facetby:[],stackby:a,sort:s,offset:n.offset,impute:n.impute,as:[e.vgField(n.fieldChannel,{suffix:"start",forAs:!0}),e.vgField(n.fieldChannel,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(t){this._stack.facetby.push(...t)}dependentFields(){const t=new Set;return t.add(this._stack.stackField),this.getGroupbyFields().forEach(e=>t.add(e)),this._stack.facetby.forEach(e=>t.add(e)),this._stack.sort.field.forEach(e=>t.add(e)),t}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${UP(this._stack)}`}getGroupbyFields(){const{dimensionFieldDef:t,impute:e,groupby:n}=this._stack;return t?t.bin?e?[PV(t,{binSuffix:"mid"})]:[PV(t,{}),PV(t,{binSuffix:"end"})]:[PV(t)]:null!==n&&void 0!==n?n:[]}assemble(){const t=[],{facetby:e,dimensionFieldDef:n,stackField:r,stackby:i,sort:a,offset:o,impute:s,as:u}=this._stack;if(s&&n){const{band:a=.5,bin:o}=n;o&&t.push({type:"formula",expr:`${a}*`+PV(n,{expr:"datum"})+`+${1-a}*`+PV(n,{expr:"datum",binSuffix:"end"}),as:PV(n,{binSuffix:"mid",forAs:!0})}),t.push({type:"impute",field:r,groupby:[...i,...e],key:PV(n,{binSuffix:"mid"}),method:"value",value:0})}return t.push({type:"stack",groupby:[...this.getGroupbyFields(),...e],field:r,sort:a,as:u,offset:o}),t}}class dX extends HG{constructor(t,e){super(t),this.transform=e}clone(){return new dX(null,PP(this.transform))}addDimensions(t){this.transform.groupby=$P(this.transform.groupby.concat(t),t=>t)}dependentFields(){var t,e;const n=new Set;return(t=this.transform.groupby,null!==t&&void 0!==t?t:[]).forEach(t=>n.add(t)),(e=this.transform.sort,null!==e&&void 0!==e?e:[]).forEach(t=>n.add(t.field)),this.transform.window.map(t=>t.field).filter(t=>void 0!==t).forEach(t=>n.add(t)),n}producedFields(){return new Set(this.transform.window.map(this.getDefaultName))}getDefaultName(t){var e;return null!==(e=t.as)&&void 0!==e?e:PV(t)}hash(){return`WindowTransform ${UP(this.transform)}`}assemble(){var t;const e=[],n=[],r=[],i=[];for(const t of this.transform.window)n.push(t.op),r.push(this.getDefaultName(t)),i.push(void 0===t.param?null:t.param),e.push(void 0===t.field?null:t.field);const a=this.transform.frame,o=this.transform.groupby;if(a&&null===a[0]&&null===a[1]&&n.every(t=>BL(t)))return Object.assign({type:"joinaggregate",as:r,ops:n,fields:e},void 0!==o?{groupby:o}:{});const s=[],u=[];if(void 0!==this.transform.sort)for(const e of this.transform.sort)s.push(e.field),u.push(null!==(t=e.order)&&void 0!==t?t:"ascending");const c={field:s,order:u},l=this.transform.ignorePeers;return Object.assign(Object.assign(Object.assign({type:"window",params:i,as:r,ops:n,fields:e,sort:c},void 0!==l?{ignorePeers:l}:{}),void 0!==o?{groupby:o}:{}),void 0!==a?{frame:a}:{})}}class hX extends HG{clone(){return new hX(null)}constructor(t){super(t)}dependentFields(){return new Set}producedFields(){return new Set([qq])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:qq}}}class pX extends eX{run(t){const e=t.parent;if(t instanceof cX){if(QK(e))return this.flags;if(e.numChildren()>1)return this.setContinue(),this.flags;if(e instanceof cX)this.setMutated(),e.merge(t);else{if(YP(e.producedFields(),t.dependentFields()))return this.setContinue(),this.flags;this.setMutated(),t.swapWithParent()}}return this.setContinue(),this.flags}}class mX extends nX{mergeNodes(t,e){const n=e.shift();for(const r of e)t.removeChild(r),r.parent=n,r.remove()}run(t){const e=t.children.map(t=>t.hash()),n={};for(let r=0;r<e.length;r++)void 0===n[e[r]]?n[e[r]]=[t.children[r]]:n[e[r]].push(t.children[r]);for(const e of JP(n))n[e].length>1&&(this.setMutated(),this.mergeNodes(t,n[e]));for(const e of t.children)this.run(e);return this.mutatedFlag}}class gX extends eX{run(t){return t instanceof GG||t.numChildren()>0||t instanceof aX?this.flags:(this.setMutated(),t.remove(),this.flags)}}class vX extends eX{constructor(){super(...arguments),this.fields=new Set,this.prev=null}run(t){if(this.setContinue(),t instanceof $G){const e=t.producedFields();KP(e,this.fields)?(this.setMutated(),this.prev.remove()):this.fields=new Set([...this.fields,...e]),this.prev=t}return this.flags}reset(){this.fields.clear()}}class yX extends eX{run(t){this.setContinue();const e=t.parent.children.filter(t=>t instanceof $G),n=e.pop();for(const t of e)this.setMutated(),n.merge(t);return this.flags}}function bX(t){if(t instanceof aX)if(1!==t.numChildren()||t.children[0]instanceof GG){const e=t.model.component.data.main;!function t(e){if(e instanceof GG&&e.type===jH&&1===e.numChildren()){const n=e.children[0];n instanceof aX||(n.swapWithParent(),t(e))}}(e);const n=function(t){return function e(n){if(!(n instanceof aX)){const r=n.clone();if(r instanceof GG){const e=SX+r.getSource();r.setSource(e),t.model.component.data.outputNodes[e]=r}else(r instanceof iX||r instanceof fX||r instanceof dX||r instanceof lX)&&r.addDimensions(t.fields);return n.children.flatMap(e).forEach(t=>t.parent=r),[r]}return n.children.flatMap(e)}}(t),r=t.children.map(n).flat();for(const t of r)t.parent=e}else{const e=t.children[0];(e instanceof iX||e instanceof fX||e instanceof dX||e instanceof lX)&&e.addDimensions(t.fields),e.swapWithParent(),bX(t)}else t.children.map(bX)}class xX extends nX{constructor(){super()}run(t){t instanceof GG&&!t.isRequired()&&(this.setMutated(),t.remove());for(const e of t.children)this.run(e);return this.mutatedFlag}}class wX extends nX{constructor(t){super(),this.requiresSelectionId=t&&S$(t)}run(t){t instanceof hX&&(this.requiresSelectionId&&(QK(t.parent)||t.parent instanceof iX||t.parent instanceof cX)||(this.setMutated(),t.remove()));for(const e of t.children)this.run(e);return this.mutatedFlag}}class kX extends eX{run(t){const e=t.parent,n=[...e.children],r=e.children.filter(t=>t instanceof cX);if(e.numChildren()>1&&r.length>=1){const t={},i=new Set;for(const e of r){const n=e.parse;for(const e of JP(n))e in t?t[e]!==n[e]&&i.add(e):t[e]=n[e]}for(const e of i)delete t[e];if(0!==JP(t).length){this.setMutated();const r=new cX(e,t);for(const i of n){if(i instanceof cX)for(const e of JP(t))delete i.parse[e];e.removeChild(i),i.parent=r,i instanceof cX&&0===JP(i.parse).length&&i.remove()}}}return this.setContinue(),this.flags}}class _X extends eX{run(t){const e=t.parent,n=e.children.filter(t=>t instanceof iX),r={};for(const t of n){const e=UP(t.groupBy);e in r||(r[e]=[]),r[e].push(t)}for(const t of JP(r)){const n=r[t];if(n.length>1){const t=n.pop();for(const r of n)t.merge(r)&&(e.removeChild(r),r.parent=t,r.remove(),this.setMutated())}}return this.setContinue(),this.flags}}class EX extends eX{constructor(t){super(),this.model=t}run(t){const e=t.parent,n=!(QK(e)||e instanceof A$||e instanceof cX||e instanceof hX),r=[],i=[];for(const t of e.children)t instanceof KK&&(n&&!YP(e.producedFields(),t.dependentFields())?r.push(t):i.push(t));if(r.length>0){const t=r.pop();for(const e of r)t.merge(e,this.model.renameSignal.bind(this.model));this.setMutated(),e instanceof KK?e.merge(t,this.model.renameSignal.bind(this.model)):t.swapWithParent()}if(i.length>1){const t=i.pop();for(const e of i)t.merge(e,this.model.renameSignal.bind(this.model));this.setMutated()}return this.setContinue(),this.flags}}class OX extends eX{run(t){const e=t.parent,n=[...e.children];if(!qP(n,t=>t instanceof GG)||e.numChildren()<=1)return this.setContinue(),this.flags;const r=[];let i;for(const t of n)if(t instanceof GG){let n=t;for(;1===n.numChildren();){const t=n.children[0];if(!(t instanceof GG))break;n=t}r.push(...n.children),i?(e.removeChild(t),t.parent=i.parent,i.parent.removeChild(i),i.parent=n,this.setMutated()):i=n}else r.push(t);if(r.length){this.setMutated();for(const t of r)t.parent.removeChild(t),t.parent=i}return this.setContinue(),this.flags}}const SX="scale_",CX=5;function AX(t){const e=[];return t.forEach(function t(n){0===n.numChildren()?e.push(n):n.children.forEach(t)}),e}function NX(t){return t}function TX(t,e){return e.map(e=>{if(t instanceof eX){const n=t.optimizeNextFromLeaves(e);return t.reset(),n}return t.run(e)}).some(NX)}function IX(t,e){let n=t.sources;const r=new Set;return r.add(TX(new xX,n)),r.add(TX(new wX(e),n)),n=n.filter(t=>t.numChildren()>0),r.add(TX(new gX,AX(n))),n=n.filter(t=>t.numChildren()>0),r.add(TX(new pX,AX(n))),r.add(TX(new EX(e),AX(n))),r.add(TX(new vX,AX(n))),r.add(TX(new kX,AX(n))),r.add(TX(new _X,AX(n))),r.add(TX(new yX,AX(n))),r.add(TX(new mX,n)),r.add(TX(new OX,AX(n))),t.sources=n,r.has(!0)}class DX{constructor(t){Object.defineProperty(this,"signal",{enumerable:!0,get:t})}static fromName(t,e){return new DX(()=>t(e))}}function MX(t){nY(t)?function(t){const e=t.component.scales;JP(e).forEach(n=>{const r=function(t,e){const n=t.getScaleComponent(e).get("type"),r=function(t,e,n,r){if("unaggregated"===t){const{valid:t,reason:r}=jX(e,n);if(!t)return void BU(r)}else if(void 0===t&&r.useUnaggregatedDomain){const{valid:t}=jX(e,n);if(t)return"unaggregated"}return t}(t.scaleDomain(e),t.fieldDef(e),n,t.config.scale);r!==t.scaleDomain(e)&&(t.specifiedScales[e]=Object.assign(Object.assign({},t.specifiedScales[e]),{domain:r}));if("x"===e&&t.channelHasField("x2"))return t.channelHasField("x")?vK(RX(n,r,t,"x"),RX(n,r,t,"x2"),"domain","scale",PX):RX(n,r,t,"x2");if("y"===e&&t.channelHasField("y2"))return t.channelHasField("y")?vK(RX(n,r,t,"y"),RX(n,r,t,"y2"),"domain","scale",PX):RX(n,r,t,"y2");return RX(n,r,t,e)}(t,n),i=e[n];if(i.setWithExplicit("domains",r),function(t,e){const n=t.component.scales[e],r=t.specifiedScales[e].domain,i=t.fieldDef(e).bin,a=BW(r)&&r,o=oq(i)&&sq(i.extent)&&i.extent;(a||o)&&n.set("selectionExtent",null!==a&&void 0!==a?a:o,!0)}(t,n),t.component.data.isFaceted){let e=t;for(;!rY(e)&&e.parent;)e=e.parent;const i=e.component.resolve.scale[n];if("shared"===i)for(const t of r.value)aG(t)&&(t.data=SX+t.data.replace(SX,""))}})}(t):function(t){for(const e of t.children)MX(e);const e=t.component.scales;JP(e).forEach(n=>{let r,i=null;for(const e of t.children){const t=e.component.scales[n];if(t){r=void 0===r?t.getWithExplicit("domains"):vK(r,t.getWithExplicit("domains"),"domains","scale",PX);const e=t.get("selectionExtent");i&&e&&i.selection!==e.selection&&BU("The same selection must be used to override scale domains in a layered view."),i=e}}e[n].setWithExplicit("domains",r),i&&e[n].set("selectionExtent",i,!0)})}(t)}function RX(t,e,n,r){const i=n.fieldDef(r);if(e&&"unaggregated"!==e&&!BW(e)){const{type:t,timeUnit:n}=i;return hK("temporal"===t||n?function(t,e,n){return t.map(t=>({signal:`{data: ${tq(t,{timeUnit:n,type:e})}}`}))}(e,t,n):[e])}const a=n.stack;if(a&&r===a.fieldChannel){if("normalize"===a.offset)return pK([[0,1]]);const t=n.requestDataName(jH);return pK([{data:t,field:n.vgField(r,{suffix:"start"})},{data:t,field:n.vgField(r,{suffix:"end"})}])}const o=dB(r)?function(t,e,n){if(!jW(n))return;const r=t.fieldDef(e),i=r.sort;if(wV(i))return{op:"min",field:q$(r,e),order:"ascending"};const a=null!==t.stack;if(xV(i))return FX(i,a);if(bV(i)){const{encoding:e,order:n}=i,r=t.fieldDef(e),{aggregate:o,field:s}=r;if(LL(o)||zL(o))return FX({field:PV(r),order:n},a);if(BL(o)||!o)return FX({op:o,field:s,order:n},a)}else{if("descending"===i)return{op:"min",field:t.vgField(e),order:"descending"};if(VP(["ascending",void 0],i))return!0}return}(n,r,t):void 0;if("unaggregated"===e){const t=n.requestDataName(jH),{field:e}=i;return pK([{data:t,field:PV({field:e,aggregate:"min"})},{data:t,field:PV({field:e,aggregate:"max"})}])}if(iq(i.bin)){if(jW(t))return pK("bin-ordinal"===t?[]:[{data:QP(o)?n.requestDataName(jH):n.requestDataName(PH),field:n.vgField(r,nq(i,r)?{binSuffix:"range"}:{}),sort:!0!==o&&fP(o)?o:{field:n.vgField(r,{}),op:"min"}}]);{const{bin:t}=i;if(iq(t)){const e=GK(n,i.field,t);return pK([new DX(()=>{const t=n.getSignalName(e);return`[${t}.start, ${t}.stop]`})])}return pK([{data:n.requestDataName(jH),field:n.vgField(r,{})}])}}if(i.timeUnit&&VP(["time","utc"],t)&&CV(r,i,nY(n)?n.encoding[Bz(r)]:void 0,n.markDef,n.config)){const t=n.requestDataName(jH);return pK([{data:t,field:n.vgField(r)},{data:t,field:n.vgField(r,{suffix:"end"})}])}return pK(o?[{data:QP(o)?n.requestDataName(jH):n.requestDataName(PH),field:n.vgField(r),sort:o}]:[{data:n.requestDataName(jH),field:n.vgField(r)}])}function FX(t,e){const{op:n,field:r,order:i}=t;return Object.assign(Object.assign({op:null!==n&&void 0!==n?n:e?"sum":gV},r?{field:aL(r)}:{}),i?{order:i}:{})}function jX(t,e){const{aggregate:n,type:r}=t;return n?dP(n)&&!qL[n]?{valid:!1,reason:jU.unaggregateDomainWithNonSharedDomainOp(n)}:"quantitative"===r&&"log"===e?{valid:!1,reason:jU.unaggregatedDomainWithLogScale(t)}:{valid:!0}:{valid:!1,reason:jU.unaggregateDomainHasNoEffectForRawField(t)}}function PX(t,e,n,r){return t.explicit&&e.explicit&&BU(jU.mergeConflictingDomainProperty(n,r,t.value,e.value)),{explicit:t.explicit,value:[...t.value,...e.value]}}function LX(t){if(aG(t)&&dP(t.field))return t.field;if(function(t){return!lP(t)&&"fields"in t&&!("data"in t)}(t)){let e;for(const n of t.fields)if(aG(n)&&dP(n.field))if(e){if(e!==n.field)return BU("Detected faceted independent scales that union domain of multiple fields from different data sources. We will use the first field. The result view size may be incorrect."),e}else e=n.field;return BU("Detected faceted independent scales that union domain of identical fields from different source detected. We will assume that this is the same field from a different fork of the same data source. However, if this is not case, the result view size maybe incorrect."),e}if(function(t){return!lP(t)&&"fields"in t&&"data"in t}(t)){BU("Detected faceted independent scales that union domain of multiple fields from the same data source. We will use the first field. The result view size may be incorrect.");const e=t.fields[0];return dP(e)?e:void 0}}function zX(t,e){return function(t){const e=$P(t.map(t=>{if(aG(t)){const{sort:e}=t;return b(t,["sort"])}return t}),UP),n=$P(t.map(t=>{if(aG(t)){const e=t.sort;return void 0===e||QP(e)||("op"in e&&"count"===e.op&&delete e.field,"ascending"===e.order&&delete e.order),e}}).filter(t=>void 0!==t),UP);if(0===e.length)return;if(1===e.length){const e=t[0];if(aG(e)&&n.length>0){let t=n[0];return n.length>1&&(BU(jU.MORE_THAN_ONE_SORT),t=!0),Object.assign(Object.assign({},e),{sort:t})}return e}const r=$P(n.map(t=>QP(t)||!("op"in t)||t.op in PL?t:(BU(jU.domainSortDropped(t)),!0)),UP);let i;1===r.length?i=r[0]:r.length>1&&(BU(jU.MORE_THAN_ONE_SORT),i=!0);const a=$P(t.map(t=>aG(t)?t.data:null),t=>t);if(1===a.length&&null!==a[0])return Object.assign({data:a[0],fields:e.map(t=>t.field)},i?{sort:i}:{});return Object.assign({fields:e},i?{sort:i}:{})}(t.component.scales[e].get("domains").map(e=>(aG(e)&&(e.data=t.lookupDataSource(e.data)),e)))}function BX(t){return JP(t.component.scales).reduce((e,n)=>{const r=t.component.scales[n];if(r.merged)return e;const i=r.combine(),{name:a,type:o,selectionExtent:s,domains:u,range:c}=i,l=b(i,["name","type","selectionExtent","domains","range"]),f=function(t,e,n){if(("x"===n||"y"===n)&&iG(t))return{step:{signal:e+"_step"}};return t}(i.range,a,n);let d;s&&(d=function(t,e){const n=e.selection;return{signal:T$(t.getSelectionComponent(n,tL(n)),e)}}(t,s));const h=zX(t,n);return e.push(Object.assign(Object.assign(Object.assign(Object.assign({name:a,type:o},h?{domain:h}:{}),d?{domainRaw:d}:{}),{range:f}),l)),e},[])}class UX extends dK{constructor(t,e){super({},{name:t}),this.merged=!1,this.setWithExplicit("type",e)}domainDefinitelyIncludesZero(){return!1!==this.get("zero")||qP(this.get("domains"),t=>lP(t)&&2===t.length&&t[0]<=0&&t[1]>=0)}}const WX=["range","scheme"];function VX(t){return"x"===t?"width":"y"===t?"height":void 0}function qX(t){const e=t.component.scales;fB.forEach(n=>{const r=e[n];if(!r)return;const i=function(t,e){const n=e.specifiedScales[t],{size:r}=e,i=e.getScaleComponent(t).get("type");for(const e of WX)if(void 0!==n[e]){const r=KW(i,e),a=XW(t,e);if(r)if(a)BU(a);else switch(e){case"range":return hK(n[e]);case"scheme":return hK(GX(n[e]))}else BU(jU.scalePropertyNotWorkWithScaleType(i,e,t))}if(t===KL||t===XL){const e=t===KL?"width":"height",n=r[e];if(Zq(n)){if(jW(i))return hK({step:n.step});BU(jU.stepDropped(e))}}return pK(function(t,e){const{size:n,config:r,mark:i}=e,a=e.getSignalName.bind(e),{type:o}=e.fieldDef(t),s=e.getScaleComponent(t).get("type"),{domain:u}=e.specifiedScales[t];switch(t){case KL:case XL:{if(VP(["point","band"],s))if(t!==KL||n.width){if(t===XL&&!n.height){const t=nH(r.view,"height");if(Zq(t))return t}}else{const t=nH(r.view,"width");if(Zq(t))return t}const i=VX(t),o=e.getName(i);return t===XL&&PW(s)?[DX.fromName(a,o),0]:[0,DX.fromName(a,o)]}case oz:{const a=e.component.scales[t].get("zero"),o=function(t,e,n){if(e)return 0;switch(t){case"bar":case"tick":return n.scale.minBandSize;case"line":case"trail":case"rule":return n.scale.minStrokeWidth;case"text":return n.scale.minFontSize;case"point":case"square":case"circle":return n.scale.minSize}throw new Error(jU.incompatibleChannel("size",t))}(i,a,r),c=function(t,e,n,r){const i={x:HX(n,"x"),y:HX(n,"y")};switch(t){case"bar":case"tick":{if(void 0!==r.scale.maxBandSize)return r.scale.maxBandSize;const t=KX(e,i,r.view);return OP(t)?t-1:new DX(()=>`${t.signal} - 1`)}case"line":case"trail":case"rule":return r.scale.maxStrokeWidth;case"text":return r.scale.maxFontSize;case"point":case"square":case"circle":{if(r.scale.maxSize)return r.scale.maxSize;const t=KX(e,i,r.view);return OP(t)?Math.pow($X*t,2):new DX(()=>`pow(${$X} * ${t.signal}, 2)`)}}throw new Error(jU.incompatibleChannel("size",t))}(i,n,e,r);return zW(s)?function(t,e,n){const r=()=>{const r=rG(e)?e.signal:e,i=`(${r} - ${t}) / (${n} - 1)`;return`sequence(${t}, ${e} + ${i}, ${i})`};return rG(e)?new DX(r):{signal:r()}}(o,c,function(t,e,n,r){switch(t){case"quantile":return e.scale.quantileCount;case"quantize":return e.scale.quantizeCount;case"threshold":return void 0!==n&&lP(n)?n.length+1:(BU(jU.domainRequiredForThresholdScale(r)),3)}}(s,r,u,t)):[o,c]}case lz:return[r.scale.minStrokeWidth,r.scale.maxStrokeWidth];case az:return"symbol";case nz:case rz:case iz:return"ordinal"===s?"nominal"===o?"category":"ordinal":"rect"===i||"geoshape"===i?"heatmap":"ramp";case sz:case uz:case cz:return[r.scale.minOpacity,r.scale.maxOpacity]}throw new Error(`Scale range undefined for channel ${t}`)}(t,e))}(n,t);r.setWithExplicit("range",i)})}function HX(t,e){const n=t.fieldDef(e);if(n&&n.bin&&iq(n.bin)){const r=GK(t,n.field,n.bin),i=VX(e),a=t.getName(i);return new DX(()=>{const e=t.getSignalName(r),n=`(${e}.stop - ${e}.start) / ${e}.step`;return`${t.getSignalName(a)} / (${n})`})}}function GX(t){return function(t){return!dP(t)&&!!t.name}(t)?Object.assign({scheme:t.name},zP(t,["name"])):{scheme:t}}const $X=.95;function KX(t,e,n){const r=Zq(t.width)?t.width.step:eH(n,"width"),i=Zq(t.height)?t.height.step:eH(n,"height");return e.x||e.y?new DX(()=>{return`min(${[e.x?e.x.signal:r,e.y?e.y.signal:i].join(", ")})`}):Math.min(r,i)}function XX(t,e){nY(t)?function(t,e){const n=t.component.scales;JP(n).forEach(r=>{const i=t.specifiedScales[r],a=n[r],o=t.getScaleComponent(r),s=t.fieldDef(r),u=t.config,c=i[e],l=o.get("type"),f=KW(l,e),d=XW(r,e);if(void 0!==c&&(f?d&&BU(d):BU(jU.scalePropertyNotWorkWithScaleType(l,e,r))),f&&void 0===d)if(void 0!==c)a.copyKeyFromObject(e,i);else{const n=function(t,e,n,r,i,a,o,s,u,c){const l=c.scale,{type:f,sort:d}=r;switch(t){case"bins":return function(t,e){const n=e.bin;if(iq(n)){const r=GK(t,e.field,n);return new DX(()=>t.getSignalName(r))}if(aq(n)&&oq(n)&&void 0!==n.step)return{step:n.step};return}(e,r);case"interpolate":return function(t,e){if(VP([nz,rz,iz],t)&&"nominal"!==e)return"hcl";return}(n,f);case"nice":return function(t,e,n){if(n.bin||VP([OW.TIME,OW.UTC],t))return;return!!VP([KL,XL],e)||void 0}(i,n,r);case"padding":return function(t,e,n,r,i,a){if(VP([KL,XL],t)){if(LW(e)){if(void 0!==n.continuousPadding)return n.continuousPadding;const{type:e,orient:o}=i;if("bar"===e&&!r.bin&&!r.timeUnit&&("vertical"===o&&"x"===t||"horizontal"===o&&"y"===t))return a.continuousBandSize}if(e===OW.POINT)return n.pointPadding}return}(n,i,l,r,u,c.bar);case"paddingInner":return function(t,e,n,r){if(void 0!==t)return;if(VP([KL,XL],e)){const{bandPaddingInner:t,barBandPaddingInner:e,rectBandPaddingInner:i}=r;return uL(t,"bar"===n?e:i)}return}(a,n,u.type,l);case"paddingOuter":return function(t,e,n,r,i,a){if(void 0!==t)return;if(VP([KL,XL],e)&&n===OW.BAND){const{bandPaddingOuter:t}=a;return uL(t,i/2)}return}(a,n,i,u.type,o,l);case"reverse":return function(t,e){if(PW(t)&&"descending"===e)return!0;return}(i,d);case"zero":return function(t,e,n,r,i){if(n&&"unaggregated"!==n&&PW(i)){if(lP(n)){const t=n[0],e=n[n.length-1];if(t<=0&&e>=0)return!0}return!1}if("size"===t&&"quantitative"===e.type&&!zW(i))return!0;if(!e.bin&&VP([KL,XL],t)){const{orient:e,type:n}=r;return!VP(["bar","area","line","trail"],n)||!("horizontal"===e&&"y"===t||"vertical"===e&&"x"===t)}return!1}(n,r,s,u,i)}return l[t]}(e,t,r,s,o.get("type"),o.get("padding"),o.get("paddingInner"),i.domain,t.markDef,u);void 0!==n&&a.set(e,n,!1)}})}(t,e):JX(t,e)}function YX(t){nY(t)?qX(t):JX(t,"range")}function JX(t,e){const n=t.component.scales;for(const n of t.children)"range"===e?YX(n):XX(n,e);JP(n).forEach(r=>{let i;for(const n of t.children){const t=n.component.scales[r];if(t){i=vK(i,t.getWithExplicit(e),e,"scale",mK((t,n)=>{switch(e){case"range":return t.step&&n.step?t.step-n.step:0}return 0}))}}n[r].setWithExplicit(e,i)})}function ZX(t,e,n,r){const i=function(t,e,n){switch(e.type){case"nominal":case"ordinal":return kz(t)||"discrete"===vB(t)?("shape"===t&&"ordinal"===e.type&&BU(jU.discreteChannelCannotEncode(t,"ordinal")),"ordinal"):VP(["x","y"],t)&&VP(["rect","bar","image","rule"],n)?"band":"point";case"temporal":return kz(t)?"time":"discrete"===vB(t)?(BU(jU.discreteChannelCannotEncode(t,"temporal")),"ordinal"):"time";case"quantitative":return kz(t)?iq(e.bin)?"bin-ordinal":"linear":"discrete"===vB(t)?(BU(jU.discreteChannelCannotEncode(t,"quantitative")),"ordinal"):"linear";case"geojson":return}throw new Error(jU.invalidFieldType(e.type))}(e,n,r),{type:a}=t;return dB(e)?void 0!==a?JW(e,a)?YW(a,n.type)?a:(BU(jU.scaleTypeNotWorkWithFieldDef(a,i)),i):(BU(jU.scaleTypeNotWorkWithChannel(e,a,i)),i):i:null}function QX(t){nY(t)?t.component.scales=function(t){const{encoding:e,mark:n}=t;return fB.reduce((r,i)=>{let a,o;const s=e[i];if(TV(s)&&n===EL&&i===az&&s.type===EW)return 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0!==this.nameMap[t]}get(t){for(;this.nameMap[t]&&t!==this.nameMap[t];)t=this.nameMap[t];return t}}function nY(t){var e;return"unit"===(null===(e=t)||void 0===e?void 0:e.type)}function rY(t){var e;return"facet"===(null===(e=t)||void 0===e?void 0:e.type)}function iY(t){var e;return"repeat"===(null===(e=t)||void 0===e?void 0:e.type)}function aY(t){var e;return"concat"===(null===(e=t)||void 0===e?void 0:e.type)}function oY(t){var e;return"layer"===(null===(e=t)||void 0===e?void 0:e.type)}class sY{constructor(t,e,n,r,i,a,o,s){var u,c;this.type=e,this.parent=n,this.config=i,this.repeater=a,this.view=s,this.children=[],this.correctDataNames=(t=>(t.from&&t.from.data&&(t.from.data=this.lookupDataSource(t.from.data)),t.from&&t.from.facet&&t.from.facet.data&&(t.from.facet.data=this.lookupDataSource(t.from.facet.data)),t)),this.parent=n,this.config=i,this.repeater=a,this.name=null!==(u=t.name)&&void 0!==u?u:r,this.title=tV(t.title)?{text:t.title}:t.title,this.scaleNameMap=n?n.scaleNameMap:new eY,this.projectionNameMap=n?n.projectionNameMap:new eY,this.signalNameMap=n?n.signalNameMap:new eY,this.data=t.data,this.description=t.description,this.transforms=nG(null!==(c=t.transform)&&void 0!==c?c:[]),this.layout=RL(t)||fH(t)?{}:function(t,e,n){var r,i;const a=n[e],o={},{spacing:s,columns:u}=a;void 0!==s&&(o.spacing=s),void 0!==u&&(_V(t)&&!kV(t.facet)||Jq(t)&&lP(t.repeat)||Kq(t))&&(o.columns=u);for(const e of Qq)if(void 0!==t[e])if("spacing"===e){const n=t[e];o[e]=OP(n)?n:{row:(r=n.row,null!==r&&void 0!==r?r:s),column:(i=n.column,null!==i&&void 0!==i?i:s)}}else o[e]=t[e];return o}(t,e,i),this.component={data:{sources:n?n.component.data.sources:[],outputNodes:n?n.component.data.outputNodes:{},outputNodeRefCounts:n?n.component.data.outputNodeRefCounts:{},isFaceted:_V(t)||n&&n.component.data.isFaceted&&void 0===t.data},layoutSize:new dK,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:Object.assign({scale:{},axis:{},legend:{}},o?PP(o):{}),selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){!function(t,{ignoreRange:e}={}){QX(t),MX(t);for(const e of $W)XX(t,e);e||YX(t)}(this)}parseProjection(){qK(this)}renameTopLevelLayoutSizeSignal(){"width"!==this.getName("width")&&this.renameSignal(this.getName("width"),"width"),"height"!==this.getName("height")&&this.renameSignal(this.getName("height"),"height")}parseLegends(){RK(this)}assembleGroupStyle(){var t,e;if("unit"===this.type||"layer"===this.type)return null!==(e=null===(t=this.view)||void 0===t?void 0:t.style)&&void 0!==e?e:"cell"}assembleEncodeFromView(t){const{style:e}=t,n=b(t,["style"]),r={};for(const t in n)if(_P(n,t)){const e=n[t];void 0!==e&&(r[t]={value:e})}return r}assembleGroupEncodeEntry(t){let e=void 0;return this.view&&(e=this.assembleEncodeFromView(this.view)),t||"unit"!==this.type&&"layer"!==this.type?e:Object.assign({width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height")},null!==e&&void 0!==e?e:{})}assembleLayout(){if(!this.layout)return;const t=this.layout,{spacing:e}=t,n=b(t,["spacing"]),{component:r,config:i}=this,a=function(t,e){var n;const r={};for(const i of Ez){const a=t[i];if(null===(n=a)||void 0===n?void 0:n.facetFieldDef){const{titleAnchor:t,titleOrient:n}=$$(["titleAnchor","titleOrient"],a.facetFieldDef,e,i),o=H$(i,n),s=rK(t,o);void 0!==s&&(r[o]=s)}}return JP(r).length>0?r:void 0}(r.layoutHeaders,i);return Object.assign(Object.assign(Object.assign({padding:e},this.assembleDefaultLayout()),n),a?{titleBand:a}:{})}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:t}=this.component;let e=[];for(const n of Ez)t[n].title&&e.push(Y$(this,n));for(const t of K$)e=e.concat(Q$(this,t));return e}assembleAxes(){return function(t,e){const{x:n=[],y:r=[]}=t;return[...n.map(t=>M$(t,"grid",e)),...r.map(t=>M$(t,"grid",e)),...n.map(t=>M$(t,"main",e)),...r.map(t=>M$(t,"main",e))].filter(t=>t)}(this.component.axes,this.config)}assembleLegends(){return zK(this)}assembleProjections(){return BK(this)}assembleTitle(){var t,e,n;const r=null!==(t=this.title)&&void 0!==t?t:{},{encoding:i}=r,a=b(r,["encoding"]),o=Object.assign(Object.assign(Object.assign({},QW(this.config.title).nonMark),a),i?{encode:{update:i}}:{});if(o.text)return VP(["unit","layer"],this.type)?VP(["middle",void 0],o.anchor)&&(o.frame=null!==(e=o.frame)&&void 0!==e?e:"group"):o.anchor=null!==(n=o.anchor)&&void 0!==n?n:"start",JP(o).length>0?o:void 0}assembleGroup(t=[]){const e={};(t=t.concat(this.assembleSignals())).length>0&&(e.signals=t);const n=this.assembleLayout();n&&(e.layout=n),e.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const r=!this.parent||rY(this.parent)?function t(e){return oY(e)||aY(e)||iY(e)?e.children.reduce((e,n)=>e.concat(t(n)),BX(e)):BX(e)}(this):[];r.length>0&&(e.scales=r);const i=this.assembleAxes();i.length>0&&(e.axes=i);const a=this.assembleLegends();return a.length>0&&(e.legends=a),e}hasDescendantWithFieldOnChannel(t){for(const e of this.children)if(nY(e)){if(e.channelHasField(t))return!0}else if(e.hasDescendantWithFieldOnChannel(t))return!0;return!1}getName(t){return tL((this.name?this.name+"_":"")+t)}requestDataName(t){var e;const n=this.getName(t),r=this.component.data.outputNodeRefCounts;return r[n]=(null!==(e=r[n])&&void 0!==e?e:0)+1,n}getSizeSignalRef(t){if(rY(this.parent)){const e=tB(t),n=this.component.scales[e];if(n&&!n.merged){const t=n.get("type"),r=n.get("range");if(jW(t)&&iG(r)){const t=n.get("name"),r=LX(zX(this,e));if(r){return{signal:uK(t,n,PV({aggregate:"distinct",field:r},{expr:"datum"}))}}return BU(`Unknown field for ${e}. Cannot calculate view size.`),null}}}return{signal:this.signalNameMap.get(this.getName(t))}}lookupDataSource(t){const e=this.component.data.outputNodes[t];return e?e.getSource():t}getSignalName(t){return this.signalNameMap.get(t)}renameSignal(t,e){this.signalNameMap.rename(t,e)}renameScale(t,e){this.scaleNameMap.rename(t,e)}renameProjection(t,e){this.projectionNameMap.rename(t,e)}scaleName(t,e){return e?this.getName(t):jz(t)&&dB(t)&&this.component.scales[t]||this.scaleNameMap.has(this.getName(t))?this.scaleNameMap.get(this.getName(t)):void 0}projectionName(t){return t?this.getName("projection"):this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection"))?this.projectionNameMap.get(this.getName("projection")):void 0}getScaleComponent(t){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const e=this.component.scales[t];return e&&!e.merged?e:this.parent?this.parent.getScaleComponent(t):void 0}getSelectionComponent(t,e){let n=this.component.selection[t];if(!n&&this.parent&&(n=this.parent.getSelectionComponent(t,e)),!n)throw new Error(jU.selectionNotFound(e));return n}}class uY extends sY{vgField(t,e={}){const n=this.fieldDef(t);if(n)return PV(n,e)}reduceFieldDef(t,e){return pq(this.getMapping(),(e,n,r)=>{const i=$V(n);return i?t(e,i,r):e},e)}forEachFieldDef(t,e){hq(this.getMapping(),(e,n)=>{const r=$V(e);r&&t(r,n)},e)}}class cY extends HG{constructor(t,e){var n,r,i;super(t),this.transform=e,this.transform=PP(e);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[(r=a[0],null!==r&&void 0!==r?r:"value"),(i=a[1],null!==i&&void 0!==i?i:"density")]}clone(){return new cY(null,PP(this.transform))}dependentFields(){var t;return new Set([this.transform.density,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${UP(this.transform)}`}assemble(){const t=this.transform,{density:e}=t,n=b(t,["density"]);return Object.assign({type:"kde",field:e},n)}}class lY extends HG{constructor(t,e){super(t),this.filter=e}clone(){return new lY(null,Object.assign({},this.filter))}static make(t,e){const{config:n,mark:r,markDef:i}=e;if("filter"!==rV("invalid",i,n))return null;const a=e.reduceFieldDef((t,n,i)=>{const a=dB(i)&&e.getScaleComponent(i);if(a){!PW(a.get("type"))||n.aggregate||SL(r)||(t[n.field]=n)}return t},{});return JP(a).length?new lY(t,a):null}dependentFields(){return new Set(JP(this.filter))}producedFields(){return new Set}hash(){return`FilterInvalid ${UP(this.filter)}`}assemble(){const t=JP(this.filter).reduce((t,e)=>{const n=this.filter[e],r=PV(n,{expr:"datum"});return null!==n&&("temporal"===n.type?t.push(`(isDate(${r}) || (isValid(${r}) && isFinite(+${r})))`):"quantitative"===n.type&&(t.push(`isValid(${r})`),t.push(`isFinite(+${r})`))),t},[]);return t.length>0?{type:"filter",expr:t.join(" && ")}:null}}class fY extends HG{constructor(t,e){super(t),this.transform=e,this.transform=PP(e);const{flatten:n,as:r=[]}=this.transform;this.transform.as=n.map((t,e)=>{var n;return null!==(n=r[e])&&void 0!==n?n:t})}clone(){return new fY(this.parent,PP(this.transform))}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${UP(this.transform)}`}assemble(){const{flatten:t,as:e}=this.transform;return{type:"flatten",fields:t,as:e}}}class dY extends HG{constructor(t,e){var n,r,i;super(t),this.transform=e,this.transform=PP(e);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[(r=a[0],null!==r&&void 0!==r?r:"key"),(i=a[1],null!==i&&void 0!==i?i:"value")]}clone(){return new dY(null,PP(this.transform))}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${UP(this.transform)}`}assemble(){const{fold:t,as:e}=this.transform;return{type:"fold",fields:t,as:e}}}class hY extends HG{constructor(t,e,n,r){super(t),this.fields=e,this.geojson=n,this.signal=r}clone(){return new hY(null,PP(this.fields),this.geojson,this.signal)}static parseAll(t,e){if(e.component.projection&&!e.component.projection.isFit)return t;let n=0;for(const r of[[QL,ZL],[ez,tz]]){const i=r.map(t=>e.channelHasField(t)?e.fieldDef(t).field:MV(e.encoding[t])?{expr:e.encoding[t].value+""}:void 0);(i[0]||i[1])&&(t=new hY(t,i,null,e.getName(`geojson_${n++}`)))}if(e.channelHasField(az)){const r=e.fieldDef(az);r.type===EW&&(t=new hY(t,null,r.field,e.getName(`geojson_${n++}`)))}return t}dependentFields(){var t;const e=(t=this.fields,null!==t&&void 0!==t?t:[]).filter(dP);return new Set([...this.geojson?[this.geojson]:[],...e])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${UP(this.fields)}`}assemble(){return Object.assign(Object.assign(Object.assign({type:"geojson"},this.fields?{fields:this.fields}:{}),this.geojson?{geojson:this.geojson}:{}),{signal:this.signal})}}class pY extends HG{constructor(t,e,n,r){super(t),this.projection=e,this.fields=n,this.as=r}clone(){return new pY(null,this.projection,PP(this.fields),PP(this.as))}static parseAll(t,e){if(!e.projectionName())return t;for(const n of[[QL,ZL],[ez,tz]]){const r=n.map(t=>e.channelHasField(t)?e.fieldDef(t).field:MV(e.encoding[t])?{expr:e.encoding[t].value+""}:void 0),i=n[0]===ez?"2":"";(r[0]||r[1])&&(t=new pY(t,e.projectionName(),r,[e.getName("x"+i),e.getName("y"+i)]))}return t}dependentFields(){return new Set(this.fields.filter(dP))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${UP(this.fields)} ${UP(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class mY extends HG{constructor(t,e){super(t),this.transform=e}clone(){return new mY(null,PP(this.transform))}dependentFields(){var t;return new Set([this.transform.impute,this.transform.key,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}producedFields(){return new Set([this.transform.impute])}processSequence(t){const{start:e=0,stop:n,step:r}=t;return{signal:`sequence(${[e,n,...r?[r]:[]].join(",")})`}}static makeFromTransform(t,e){return new mY(t,e)}static makeFromEncoding(t,e){const n=e.encoding,r=n.x,i=n.y;if(TV(r)&&TV(i)){const a=r.impute?r:i.impute?i:void 0;if(void 0===a)return;const o=r.impute?i:i.impute?r:void 0,{method:s,value:u,frame:c,keyvals:l}=a.impute,f=mq(e.mark,n);return new mY(t,Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({impute:a.field,key:o.field},s?{method:s}:{}),void 0!==u?{value:u}:{}),c?{frame:c}:{}),void 0!==l?{keyvals:l}:{}),f.length?{groupby:f}:{}))}return null}hash(){return`Impute ${UP(this.transform)}`}assemble(){const{impute:t,key:e,keyvals:n,method:r,groupby:i,value:a,frame:o=[null,null]}=this.transform,s=Object.assign(Object.assign(Object.assign(Object.assign({type:"impute",field:t,key:e},n?{keyvals:function(t){var e;return void 0!==(null===(e=t)||void 0===e?void 0:e.stop)}(n)?this.processSequence(n):n}:{}),{method:"value"}),i?{groupby:i}:{}),{value:null});let u;if(r&&"value"!==r){u=[Object.assign({type:"window",as:[`imputed_${t}_value`],ops:[r],fields:[t],frame:o,ignorePeers:!1},i?{groupby:i}:{}),{type:"formula",expr:`datum.${t} === null ? datum.imputed_${t}_value : datum.${t}`,as:t}]}else{u=[{type:"formula",expr:`datum.${t} === null ? ${a} : datum.${t}`,as:t}]}return[s,...u]}}class gY extends dK{constructor(t={},e={},n=!1){super(t,e),this.explicit=t,this.implicit=e,this.parseNothing=n}clone(){const t=super.clone();return t.parseNothing=this.parseNothing,t}}class vY extends HG{constructor(t,e){var n,r,i;super(t),this.transform=e,this.transform=PP(e);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[(r=a[0],null!==r&&void 0!==r?r:e.on),(i=a[1],null!==i&&void 0!==i?i:e.loess)]}clone(){return new vY(null,PP(this.transform))}dependentFields(){var t;return new Set([this.transform.loess,this.transform.on,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${UP(this.transform)}`}assemble(){const t=this.transform,{loess:e,on:n}=t,r=b(t,["loess","on"]);return Object.assign({type:"loess",x:n,y:e},r)}}class yY extends HG{constructor(t,e,n){super(t),this.transform=e,this.secondary=n}clone(){return new yY(null,PP(this.transform),this.secondary)}static make(t,e,n,r){var i;const a=e.component.data.sources,{from:o}=n;let s=null;if(function(t){return void 0!==t.data}(o)){let t=BY(o.data,a);t||(t=new XK(o.data),a.push(t));const n=e.getName(`lookup_${r}`);s=new GG(t,n,"lookup",e.component.data.outputNodeRefCounts),e.component.data.outputNodes[n]=s}else if(function(t){return void 0!==t.selection}(o)){const t=o.selection;if(n.as=null!==(i=n.as)&&void 0!==i?i:t,!(s=e.getSelectionComponent(tL(t),t).materialized))throw new Error(jU.noSameUnitLookup(t))}return new yY(t,n,s.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?xP(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${UP({transform:this.transform,secondary:this.secondary})}`}assemble(){let t;if(this.transform.from.fields)t=Object.assign({values:this.transform.from.fields},this.transform.as?{as:xP(this.transform.as)}:{});else{let e=this.transform.as;dP(e)||(BU(jU.NO_FIELDS_NEEDS_AS),e="_lookup"),t={as:[e]}}return Object.assign(Object.assign({type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup]},t),this.transform.default?{default:this.transform.default}:{})}}class bY extends HG{constructor(t,e){var n,r,i;super(t),this.transform=e,this.transform=PP(e);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[(r=a[0],null!==r&&void 0!==r?r:"prob"),(i=a[1],null!==i&&void 0!==i?i:"value")]}clone(){return new bY(null,PP(this.transform))}dependentFields(){var t;return new Set([this.transform.quantile,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${UP(this.transform)}`}assemble(){const t=this.transform,{quantile:e}=t,n=b(t,["quantile"]);return Object.assign({type:"quantile",field:e},n)}}class xY extends HG{constructor(t,e){var n,r,i;super(t),this.transform=e,this.transform=PP(e);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[(r=a[0],null!==r&&void 0!==r?r:e.on),(i=a[1],null!==i&&void 0!==i?i:e.regression)]}clone(){return new xY(null,PP(this.transform))}dependentFields(){var t;return new Set([this.transform.regression,this.transform.on,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform ${UP(this.transform)}`}assemble(){const t=this.transform,{regression:e,on:n}=t,r=b(t,["regression","on"]);return Object.assign({type:"regression",x:n,y:e},r)}}class wY extends HG{constructor(t,e){super(t),this.transform=e}clone(){return new wY(null,PP(this.transform))}addDimensions(t){var e;this.transform.groupby=$P((e=this.transform.groupby,null!==e&&void 0!==e?e:[]).concat(t),t=>t)}producedFields(){}dependentFields(){var t;return new Set([this.transform.pivot,this.transform.value,...(t=this.transform.groupby,null!==t&&void 0!==t?t:[])])}hash(){return`PivotTransform ${UP(this.transform)}`}assemble(){const{pivot:t,value:e,groupby:n,limit:r,op:i}=this.transform;return Object.assign(Object.assign(Object.assign({type:"pivot",field:t,value:e},void 0!==r?{limit:r}:{}),void 0!==i?{op:i}:{}),void 0!==n?{groupby:n}:{})}}class kY extends HG{constructor(t,e){super(t),this.transform=e}clone(){return new kY(null,PP(this.transform))}dependentFields(){return new Set}producedFields(){return new Set}hash(){return`SampleTransform ${UP(this.transform)}`}assemble(){return{type:"sample",size:this.transform.sample}}}function _Y(t){let e=0;return function n(r,i){var a;r instanceof XK&&!r.isGenerator&&!NH(r.data)&&(t.push(i),i={name:null,source:i.name,transform:[]});if(r instanceof cX&&(r.parent instanceof XK&&!i.source?(i.format=Object.assign(Object.assign({},null!==(a=i.format)&&void 0!==a?a:{}),{parse:r.assembleFormatParse()}),i.transform.push(...r.assembleTransforms(!0))):i.transform.push(...r.assembleTransforms())),r instanceof aX)return i.name||(i.name=`data_${e++}`),!i.source||i.transform.length>0?(t.push(i),r.data=i.name):r.data=i.source,void r.assemble().forEach(e=>t.push(e));(r instanceof JK||r instanceof ZK||r instanceof lY||r instanceof A$||r instanceof V$||r instanceof pY||r instanceof hY||r instanceof iX||r instanceof yY||r instanceof dX||r instanceof lX||r instanceof dY||r instanceof fY||r instanceof cY||r instanceof vY||r instanceof bY||r instanceof xY||r instanceof hX||r instanceof kY||r instanceof wY)&&i.transform.push(r.assemble()),(r instanceof KK||r instanceof $G||r instanceof mY||r instanceof fX)&&i.transform.push(...r.assemble()),r instanceof GG&&(i.source&&0===i.transform.length?r.setSource(i.source):r.parent instanceof GG?r.setSource(i.name):(i.name||(i.name=`data_${e++}`),r.setSource(i.name),1===r.numChildren()&&(t.push(i),i={name:null,source:i.name,transform:[]})));switch(r.numChildren()){case 0:r instanceof GG&&(!i.source||i.transform.length>0)&&t.push(i);break;case 1:n(r.children[0],i);break;default:{i.name||(i.name=`data_${e++}`);let a=i.name;!i.source||i.transform.length>0?t.push(i):a=i.source,r.children.forEach(t=>{n(t,{name:null,source:a,transform:[]})});break}}}}function EY(t){return"top"===t||"left"===t?"header":"footer"}function OY(t,e){var n;if(t.channelHasField(e)){const r=t.facet[e],i=G$("title",null,t.config,e);let a=VV(r,t.config,{allowDisabling:!0,includeDefault:void 0===i||!!i});t.child.component.layoutHeaders[e].title&&(a=lP(a)?a.join(", "):a,a+=" / "+t.child.component.layoutHeaders[e].title,t.child.component.layoutHeaders[e].title=null);const o=G$("labelOrient",r,t.config,e),s=uL((null!==(n=r.header)&&void 0!==n?n:{}).labels,!0),u=VP(["bottom","right"],o)?"footer":"header";t.component.layoutHeaders[e]={title:a,facetFieldDef:r,[u]:"facet"===e?[]:[SY(t,e,s)]}}}function SY(t,e,n){const r="row"===e?"height":"width";return{labels:n,sizeSignal:t.child.component.layoutSize.get(r)?t.child.getSizeSignalRef(r):void 0,axes:[]}}function CY(t,e){var n;const{child:r}=t;if(r.component.axes[e]){const{layoutHeaders:i,resolve:a}=t.component;if(a.axis[e]=fK(a,e),"shared"===a.axis[e]){const a="x"===e?"column":"row",o=i[a];for(const i of r.component.axes[e]){const e=EY(i.get("orient"));o[e]=null!==(n=o[e])&&void 0!==n?n:[SY(t,a,!1)];const r=M$(i,"main",t.config,{header:!0});o[e][0].axes.push(r),i.mainExtracted=!0}}}}function AY(t){IY(t);const e=t.component.layoutSize;e.setWithExplicit("width",DY(t,"width")),e.setWithExplicit("height",DY(t,"height"))}const NY=AY,TY={vconcat:"width",hconcat:"height"};function IY(t){for(const e of t.children)e.parseLayoutSize()}function DY(t,e){const n="width"===e?"x":"y",r=t.component.resolve;let i;for(const a of t.children){const t=a.component.layoutSize.getWithExplicit(e),o=r.scale[n];if("independent"===o&&"step"===t.value){i=void 0;break}if(i){if("independent"===o&&i.value!==t.value){i=void 0;break}i=vK(i,t,e,"")}else i=t}if(i){for(const n of t.children)t.renameSignal(n.getName(e),t.getName(e)),n.component.layoutSize.set(e,"merged",!1);return i}return{explicit:!1,value:void 0}}function MY(t,e){const n="width"===e?"x":"y",r=t.config,i=t.getScaleComponent(n);if(i){const t=i.get("type"),n=i.get("range");if(jW(t)){const t=nH(r.view,e);return iG(n)||Zq(t)?"step":t}return tH(r.view,e)}if(t.hasProjection)return tH(r.view,e);{const t=nH(r.view,e);return Zq(t)?t.step:t}}function RY(t,e){return function(t){return t&&!dP(t)&&"repeat"in t}(t.field)?t.field.repeat in e?Object.assign(Object.assign({},t),{field:e[t.field.repeat]}):void BU(jU.noSuchRepeatedValue(t.field.repeat)):t}function FY(t,e){if(void 0!==(t=RY(t,e))){if(null===t)return null;if(OV(t)&&xV(t.sort)){const n=RY(t.sort,e);t=Object.assign(Object.assign({},t),n?{sort:n}:{})}return t}}function jY(t,e){if(!TV(t)){if(NV(t)){const n=FY(t.condition,e);if(n)return Object.assign(Object.assign({},t),{condition:n});{const{condition:e}=t;return b(t,["condition"])}}return t}{const n=FY(t,e);if(n)return n;if(AV(t))return{condition:t.condition}}}function PY(t,e){const n={};for(const r in t)if(_P(t,r)){const i=t[r];if(lP(i))n[r]=i.map(t=>jY(t,e)).filter(t=>t);else{const t=jY(i,e);void 0!==t&&(n[r]=t)}}return n}function LY(t,e,n){return PV(e,Object.assign({suffix:`by_${PV(t)}`},null!==n&&void 0!==n?n:{}))}class zY extends uY{constructor(t,e,n,r,i){super(t,"facet",e,n,i,r,t.resolve),this.child=cJ(t.spec,this,this.getName("child"),void 0,r,i),this.children=[this.child];const a=function(t,e){return kV(t)?PY(t,e):FY(t,e)}(t.facet,r);this.facet=this.initFacet(a)}initFacet(t){return kV(t)?pq(t,(t,e,n)=>VP([HL,GL],n)?void 0===e.field?(BU(jU.emptyFieldDef(e,n)),t):(t[n]=XV(e,n),t):(BU(jU.incompatibleChannel(n,"facet")),t),{}):{facet:XV(t,"facet")}}channelHasField(t){return!!this.facet[t]}fieldDef(t){return this.facet[t]}parseData(){this.component.data=WY(this),this.child.parseData()}parseLayoutSize(){IY(this)}parseSelections(){this.child.parseSelections(),this.component.selection=this.child.component.selection}parseMarkGroup(){this.child.parseMarkGroup()}parseAxesAndHeaders(){this.child.parseAxesAndHeaders(),function(t){for(const e of Ez)OY(t,e);CY(t,"x"),CY(t,"y")}(this)}assembleSelectionTopLevelSignals(t){return this.child.assembleSelectionTopLevelSignals(t)}assembleSignals(){return this.child.assembleSignals(),[]}assembleSelectionData(t){return this.child.assembleSelectionData(t)}getHeaderLayoutMixins(){var t,e,n,r;const i={};for(const a of Ez)for(const o of X$){const s=this.component.layoutHeaders[a],u=s[o],{facetFieldDef:c}=s;if(c){const e=G$("titleOrient",c,this.config,a);if(VP(["right","bottom"],e)){const n=H$(a,e);i.titleAnchor=null!==(t=i.titleAnchor)&&void 0!==t?t:{},i.titleAnchor[n]="end"}}if(null===(e=u)||void 0===e?void 0:e[0]){const t="row"===a?"height":"width",e="header"===o?"headerBand":"footerBand";"facet"===a||this.child.component.layoutSize.get(t)||(i[e]=null!==(n=i[e])&&void 0!==n?n:{},i[e][a]=.5),s.title&&(i.offset=null!==(r=i.offset)&&void 0!==r?r:{},i.offset["row"===a?"rowTitle":"columnTitle"]=10)}}return i}assembleDefaultLayout(){const{column:t,row:e}=this.facet,n=t?this.columnDistinctSignal():e?1:void 0;let r="all";return(e||"independent"!==this.component.resolve.scale.x)&&(t||"independent"!==this.component.resolve.scale.y)||(r="none"),Object.assign(Object.assign(Object.assign({},this.getHeaderLayoutMixins()),n?{columns:n}:{}),{bounds:"full",align:r})}assembleLayoutSignals(){return this.child.assembleLayoutSignals()}columnDistinctSignal(){if(!(this.parent&&this.parent instanceof zY)){return{signal:`length(data('${this.getName("column_domain")}'))`}}}assembleGroup(t){return this.parent&&this.parent instanceof zY?Object.assign(Object.assign({},this.channelHasField("column")?{encode:{update:{columns:{field:PV(this.facet.column,{prefix:"distinct"})}}}}:{}),super.assembleGroup(t)):super.assembleGroup(t)}getCardinalityAggregateForChild(){const t=[],e=[],n=[];if(this.child instanceof zY){if(this.child.channelHasField("column")){const r=PV(this.child.facet.column);t.push(r),e.push("distinct"),n.push(`distinct_${r}`)}}else for(const r of["x","y"]){const i=this.child.component.scales[r];if(i&&!i.merged){const a=i.get("type"),o=i.get("range");if(jW(a)&&iG(o)){const i=LX(zX(this.child,r));i?(t.push(i),e.push("distinct"),n.push(`distinct_${i}`)):BU(`Unknown field for ${r}. 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GG(d,k,jH,p);h[k]=_,d=_,nY(t)&&function(t,e){E$(t,n=>{const r=n.name,i=t.getName(`lookup_${r}`);t.component.data.outputNodes[i]=n.materialized=new GG(new A$(e,t,{selection:r}),i,"lookup",t.component.data.outputNodeRefCounts)})}(t,_);let E=null;if(rY(t)){const e=t.getName("facet");f=function(t,e){const{row:n,column:r}=e;if(n&&r){let e=null;for(const i of[n,r])if(xV(i.sort)){const{field:n,op:r=gV}=i.sort;t=e=new lX(t,{joinaggregate:[{op:r,field:n,as:LY(i,i.sort,{forAs:!0})}],groupby:[PV(i)]})}return e}return null}(d=V$.parseAllForSortIndex(d,t),t.facet),E=new aX(d=null!==f&&void 0!==f?f:d,t,e,_.getSource()),h[e]=E,d=E}return Object.assign(Object.assign({},t.component.data),{outputNodes:h,outputNodeRefCounts:p,raw:w,main:_,facetRoot:E,ancestorParse:m})}class VY extends sY{constructor(t,e,n,r,i,a,o){super(t,e,n,r,i,a,o)}parseData(){this.component.data=WY(this),this.children.forEach(t=>{t.parseData()})}parseSelections(){this.component.selection={};for(const t of 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VY{constructor(t,e,n,r,i){var a,o,s,u;super(t,"concat",e,n,i,r,t.resolve),"shared"!==(null===(o=null===(a=t.resolve)||void 0===a?void 0:a.axis)||void 0===o?void 0:o.x)&&"shared"!==(null===(u=null===(s=t.resolve)||void 0===s?void 0:s.axis)||void 0===u?void 0:u.y)||BU(jU.CONCAT_CANNOT_SHARE_AXIS),this.concatType=Xq(t)?"vconcat":Yq(t)?"hconcat":"concat",this.children=this.getChildren(t).map((t,e)=>cJ(t,this,this.getName("concat_"+e),void 0,r,i))}getChildren(t){return Xq(t)?t.vconcat:Yq(t)?t.hconcat:t.concat}parseLayoutSize(){!function(t){IY(t);const e=t.component.layoutSize,n=TY[t.concatType];n&&e.setWithExplicit(n,DY(t,n))}(this)}parseAxisGroup(){return null}assembleDefaultLayout(){return Object.assign(Object.assign({},"vconcat"===this.concatType?{columns:1}:{}),{bounds:"full",align:"each"})}}const HY=Object.assign(Object.assign({gridScale:1,scale:1},fG),{labelExpr:1,encode:1}),GY=JP(HY);class $Y extends 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0}(t)),i=nV(t.markDef),a=t.encoding.key,o=function(t){const{encoding:e,stack:n,mark:r,markDef:i,config:a}=t,o=e.order;if(!(!lP(o)&&MV(o)&&WP(o.value)||!o&&WP(i.order)||WP(iV("order",i,a)))){if((lP(o)||TV(o))&&!n)return dV(o,{expr:"datum"});if(SL(r)){const n="horizontal"===i.orient?"y":"x",r=e[n];if(TV(r)){const e=r.sort;return lP(e)?{field:PV(r,{prefix:n,suffix:"sort_index",expr:"datum"})}:xV(e)?{field:PV({aggregate:lq(t.encoding)?e.op:void 0,field:e.field},{expr:"datum"})}:bV(e)?{field:PV(t.fieldDef(e.encoding),{expr:"datum"}),order:e.order}:{field:PV(r,{binSuffix:t.stack&&t.stack.impute?"mid":void 0,expr:"datum"})}}}}}(t),s=function(t){if(!t.component.selection)return null;const e=JP(t.component.selection).length;let n=e,r=t.parent;for(;r&&0===n;)n=JP(r.component.selection).length,r=r.parent;return 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cB.reduce((e,n)=>{const r=t[n];if(r){const t=TV(r)?r.legend:NV(r)?r.condition.legend:null;null!==t&&!1!==t&&function(t){switch(t){case nz:case rz:case iz:case oz:case az:case sz:case lz:return!0;case uz:case cz:return!1}}(n)&&(e[n]=Object.assign({},t))}return e},{})}parseData(){this.component.data=WY(this)}parseLayoutSize(){!function(t){const{size:e,component:n}=t;for(const r of Zz){const i=Qz(r);if(e[i]){const t=e[i];n.layoutSize.set(i,Zq(t)?"step":t,!0)}else{const e=MY(t,i);n.layoutSize.set(i,e,!1)}}}(this)}parseSelections(){this.component.selection=function(t,e){var n;const r={},i=t.config.selection;for(const a in e){if(!_P(e,a))continue;const o=PP(e[a]),s=i[o.type],{fields:u,encodings:c}=s,l=b(s,["fields","encodings"]);for(const t in l)"encodings"===t&&o.fields||"fields"===t&&o.encodings||("mark"===t&&(o[t]=Object.assign(Object.assign({},l[t]),o[t])),void 0!==o[t]&&!0!==o[t]||(o[t]=null!==(n=l[t])&&void 0!==n?n:o[t]));const 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n=0;n<CX&&IX(t,e);n++)r++;YK(t.sources),Math.max(n,r)===CX&&BU(`Maximum optimization runs(${CX}) reached.`)}(i.component.data,i),{spec:function(t,e,n={},r){const i=t.config?cH(t.config):void 0,a=[].concat(t.assembleSelectionData([]),function(t,e){var n,r;const i=[],a=_Y(i);let o=0;t.sources.forEach(t=>{t.hasName()||(t.dataName=`source_${o++}`);const e=t.assemble();a(t,e)}),i.forEach(t=>{0===t.transform.length&&delete t.transform});let s=0;for(const[t,e]of i.entries())0!==(n=e.transform,null!==n&&void 0!==n?n:[]).length||e.source||i.splice(s++,0,i.splice(t,1)[0]);for(const e of i)for(const n of null!==(r=e.transform)&&void 0!==r?r:[])"lookup"===n.type&&(n.from=t.outputNodes[n.from].getSource());for(const t of i)t.name in e&&(t.values=e[t.name]);return i}(t.component.data,n)),o=t.assembleProjections(),s=t.assembleTitle(),u=t.assembleGroupStyle(),c=t.assembleGroupEncodeEntry(!0);let l=t.assembleLayoutSignals();return l=l.filter(t=>"width"!==t.name&&"height"!==t.name||void 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   * Copyright 2018 Google LLC. All Rights Reserved.
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   * you may not use this file except in compliance with the License.
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   *
   * 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
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  /**
   * @license
   * Copyright 2018 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.
   * =============================================================================
   */var r=this&&this.__awaiter||function(t,e,n,r){return new(n||(n=Promise))(function(i,a){function o(t){try{u(r.next(t))}catch(t){a(t)}}function s(t){try{u(r.throw(t))}catch(t){a(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})},i=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0});const a=i(n(82)),o=n(59),s=n(120),u=n(37);e.linechart=function(t,e,n={}){return r(this,void 0,void 0,function*(){const r=Array.isArray(e.values[0])?e.values:[e.values],i=r[0].length,l=e.series?e.series:r.map((t,e)=>`Series ${e+1}`);s.assert(l.length===r.length,"Must have an equal number of series labels as there are data series"),null!=n.seriesColors&&s.assert(n.seriesColors.length===r.length,"Must have an equal number of series colors as there are data series");const f=[];for(let t=0;t<i;t++){const e={x:t};l.forEach((n,i)=>{const a=r[i][t].y;e[n]=a,e[`${n}-name`]=n}),f.push(e)}const d=Object.assign({},c,n),h={x:{field:"x",type:d.xType,title:d.xLabel},tooltip:[{field:"x",type:"quantitative"},...l.map(t=>({field:t,type:"quantitative"}))]},p=l.map(t=>({data:void 0,mark:{type:"line",clip:!0},encoding:{y:{field:t,type:d.yType,title:d.yLabel,scale:d.zoomToFit?{zero:!1}:null!=d.yAxisDomain?{domain:d.yAxisDomain}:void 0},color:{field:`${t}-name`,type:"nominal",legend:{values:l,title:null},scale:{range:d.seriesColors}}}})),m=u.getDrawArea(t),g={width:d.width||o.getDefaultWidth(m),height:d.height||o.getDefaultHeight(m),padding:0,autosize:{type:"fit",contains:"padding",resize:!0},config:{axis:{labelFontSize:d.fontSize,titleFontSize:d.fontSize},text:{fontSize:d.fontSize},legend:{labelFontSize:d.fontSize,titleFontSize:d.fontSize}},data:{values:f},encoding:h,layer:[...p,{mark:"rule",selection:{hover:{type:"single",on:"mouseover",nearest:!0,clear:"mouseout"}},encoding:{color:{value:"grey",condition:{selection:{not:"hover"},value:"transparent"}}}}]};return yield a.default(m,g,{actions:!1,mode:"vega-lite",defaultStyle:!1}),Promise.resolve()})};const c={xLabel:"x",yLabel:"y",xType:"quantitative",yType:"quantitative",zoomToFit:!1,fontSize:11}},function(t,e,n){"use strict";
  /**
   * @license
   * Copyright 2018 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
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e=this.extractParamsFromWeigthMap(t),n=e.paramMappings,r=e.params;this._paramMappings=n,this._params=r},t.prototype.extractWeights=function(t){var e=this.extractParams(t),n=e.paramMappings,r=e.params;this._paramMappings=n,this._params=r},t.prototype.traversePropertyPath=function(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");var e=t.split("/").reduce(function(e,n){if(!e.nextObj.hasOwnProperty(n))throw new Error("traversePropertyPath - object does not have property "+n+", for path "+t);return{obj:e.nextObj,objProp:n,nextObj:e.nextObj[n]}},{nextObj:this.params}),n=e.obj,r=e.objProp;if(!(n&&r&&n[r]instanceof a.Tensor))throw new Error("traversePropertyPath - parameter is not a tensor, for path "+t);return{obj:n,objProp:r}},t}();function Tt(t,e,n){return a.tidy(function(){var r=a.separableConv2d(t,e.depthwise_filter,e.pointwise_filter,n,"same");return r=a.add(r,e.bias)})}function It(t,e,n){return void 0===n&&(n=!1),a.tidy(function(){var 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Object(s.c)(e,t),e.prototype.forwardInput=function(t){var e=this.params;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return a.tidy(function(){var n=Dt(I(t.toBatchTensor(112,!0),[122.782,117.001,104.298]).div(a.scalar(255)),e.dense0,!0);return n=Dt(n=Dt(n=Dt(n,e.dense1),e.dense2),e.dense3),n=a.avgPool(n,[7,7],[2,2],"valid")})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 1:return[2,e.apply(this,[n.sent()])]}})})},e.prototype.getDefaultModelName=function(){return"face_feature_extractor_model"},e.prototype.extractParamsFromWeigthMap=function(t){return function(t){var e=[],n=qt(t,e).extractDenseBlock4Params,r={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return Rt(t,e),{params:r,paramMappings:e}}(t)},e.prototype.extractParams=function(t){return function(t){var e=[],n=Ut(t),r=n.extractWeights,i=n.getRemainingWeights,a=Wt(r,e).extractDenseBlock4Params,o=a(3,32,"dense0",!0),s=a(32,64,"dense1"),u=a(64,128,"dense2"),c=a(128,256,"dense3");if(0!==i().length)throw new Error("weights remaing after extract: "+i().length);return{paramMappings:e,params:{dense0:o,dense1:s,dense2:u,dense3:c}}}(t)},e}(Nt);function Gt(t,e){return a.tidy(function(){return a.add(a.matMul(t,e.weights),e.bias)})}function $t(t){var e={},n={};return Object.keys(t).forEach(function(r){(r.startsWith("fc")?n:e)[r]=t[r]}),{featureExtractorMap:e,classifierMap:n}}var Kt=function(t){function e(e,n){var r=t.call(this,e)||this;return r._faceFeatureExtractor=n,r}return Object(s.c)(e,t),Object.defineProperty(e.prototype,"faceFeatureExtractor",{get:function(){return this._faceFeatureExtractor},enumerable:!0,configurable:!0}),e.prototype.runNet=function(t){var e=this,n=this.params;if(!n)throw new Error(this._name+" - load model before inference");return a.tidy(function(){var r=t instanceof 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Rt(t,e),{params:r,paramMappings:e}}(r)},e.prototype.extractParams=function(t){var e=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),r=n*e+n,i=t.slice(0,t.length-r),a=t.slice(t.length-r);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(a)},e}(Nt),Xt=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Yt=function(){function t(t){var e=this;if(7!==t.length)throw new Error("FaceExpressions.constructor - expected probabilities.length to be 7, have: "+t.length);Xt.forEach(function(n,r){e[n]=t[r]})}return t.prototype.asSortedArray=function(){var t=this;return Xt.map(function(e){return{expression:e,probability:t[e]}}).sort(function(t,e){return e.probability-t.probability})},t}(),Jt=function(t){function e(e){return void 0===e&&(e=new Ht),t.call(this,"FaceExpressionNet",e)||this}return Object(s.c)(e,t),e.prototype.forwardInput=function(t){var e=this;return a.tidy(function(){return a.softmax(e.runNet(t))})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 1:return[2,e.apply(this,[n.sent()])]}})})},e.prototype.predictExpressions=function(t){return Object(s.b)(this,void 0,void 0,function(){var e,n,r,i,o=this;return Object(s.d)(this,function(u){switch(u.label){case 0:return[4,bt(t)];case 1:return e=u.sent(),[4,this.forwardInput(e)];case 2:return n=u.sent(),[4,Promise.all(a.unstack(n).map(function(t){return Object(s.b)(o,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return[4,t.data()];case 1:return e=n.sent(),t.dispose(),[2,e]}})})}))];case 3:return r=u.sent(),n.dispose(),i=r.map(function(t){return new Yt(t)}),[2,e.isBatchInput?i:i[0]]}})})},e.prototype.getDefaultModelName=function(){return"face_expression_model"},e.prototype.getClassifierChannelsIn=function(){return 256},e.prototype.getClassifierChannelsOut=function(){return 7},e}(Kt);function Zt(t){return t.expressions instanceof Yt}function Qt(t,e){var n={expressions:e};return Object.assign({},t,n)}function te(t,e,n,r){void 0===n&&(n=.1),(Array.isArray(e)?e:[e]).forEach(function(e){var i=e instanceof Yt?e:Zt(e)?e.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");var a=i.asSortedArray().filter(function(t){return t.probability>n}),o=q(e)?e.detection.box.bottomLeft:r||new _(0,0);new at(a.map(function(t){return t.expression+" ("+g(t.probability)+")"}),o).draw(t)})}function ee(t){return q(t)&&t.landmarks instanceof P&&t.unshiftedLandmarks instanceof P&&t.alignedRect instanceof C}function ne(t,e){var n=t.detection.box,r=e.shiftBy(n.x,n.y),i=r.align(),a=t.detection.imageDims,o={landmarks:r,unshiftedLandmarks:e,alignedRect:new C(t.detection.score,i.rescale(a.reverse()),a)};return Object.assign({},t,o)}var re=function(){return function(t){void 0===t&&(t={});var e=t.drawLines,n=void 0===e||e,r=t.drawPoints,i=void 0===r||r,a=t.lineWidth,o=t.lineColor,s=t.pointSize,u=t.pointColor;this.drawLines=n,this.drawPoints=i,this.lineWidth=a||1,this.pointSize=s||2,this.lineColor=o||"rgba(0, 255, 255, 1)",this.pointColor=u||"rgba(255, 0, 255, 1)"}}(),ie=function(){function t(t,e){void 0===e&&(e={}),this.faceLandmarks=t,this.options=new re(e)}return t.prototype.draw=function(t){var e=rt(t),n=this.options,r=n.drawLines,i=n.drawPoints,a=n.lineWidth,s=n.lineColor,u=n.pointSize,c=n.pointColor;if(r&&this.faceLandmarks instanceof 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Rt(t,n),{params:{entry_flow:u,middle_flow:c,exit_flow:l},paramMappings:n}}function ue(t,e,n){return a.add(a.conv2d(t,e.filters,n,"same"),e.bias)}function ce(t,e,n){void 0===n&&(n=!0);var r=n?a.relu(t):t;return r=Tt(r,e.separable_conv0,[1,1]),r=Tt(a.relu(r),e.separable_conv1,[1,1]),r=a.maxPool(r,[3,3],[2,2],"same"),r=a.add(r,ue(t,e.expansion_conv,[2,2]))}var le,fe=function(t){function e(e){var n=t.call(this,"TinyXception")||this;return n._numMainBlocks=e,n}return Object(s.c)(e,t),e.prototype.forwardInput=function(t){var e=this,n=this.params;if(!n)throw new Error("TinyXception - load model before inference");return a.tidy(function(){var r=I(t.toBatchTensor(112,!0),[122.782,117.001,104.298]).div(a.scalar(256)),i=a.relu(ue(r,n.entry_flow.conv_in,[2,2]));return i=ce(i=ce(i,n.entry_flow.reduction_block_0,!1),n.entry_flow.reduction_block_1),x(e._numMainBlocks,0,1).forEach(function(t){i=function(t,e){var n=Tt(a.relu(t),e.separable_conv0,[1,1]);return n=Tt(a.relu(n),e.separable_conv1,[1,1]),n=Tt(a.relu(n),e.separable_conv2,[1,1]),n=a.add(n,t)}(i,n.middle_flow["main_block_"+t])}),i=ce(i,n.exit_flow.reduction_block),i=a.relu(Tt(i,n.exit_flow.separable_conv,[1,1]))})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 1:return[2,e.apply(this,[n.sent()])]}})})},e.prototype.getDefaultModelName=function(){return"tiny_xception_model"},e.prototype.extractParamsFromWeigthMap=function(t){return se(t,this._numMainBlocks)},e.prototype.extractParams=function(t){return oe(t,this._numMainBlocks)},e}(Nt);!function(t){t.FEMALE="female",t.MALE="male"}(le||(le={}));var de=function(t){function e(e){void 0===e&&(e=new fe(2));var n=t.call(this,"AgeGenderNet")||this;return n._faceFeatureExtractor=e,n}return Object(s.c)(e,t),Object.defineProperty(e.prototype,"faceFeatureExtractor",{get:function(){return 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e=this.extractClassifierParams(t),n=e.params,r=e.paramMappings;this._params=n,this._paramMappings=r},e.prototype.extractClassifierParams=function(t){return function(t){var e=[],n=Ut(t),r=n.extractWeights,i=n.getRemainingWeights,a=jt(r,e),o=a(512,1,"fc/age"),s=a(512,2,"fc/gender");if(0!==i().length)throw new Error("weights remaing after extract: "+i().length);return{paramMappings:e,params:{fc:{age:o,gender:s}}}}(t)},e.prototype.extractParamsFromWeigthMap=function(t){var e=$t(t),n=e.featureExtractorMap,r=e.classifierMap;return this.faceFeatureExtractor.loadFromWeightMap(n),function(t){var e=[],n=Bt(t,e);function r(t){return{weights:n(t+"/weights",2),bias:n(t+"/bias",1)}}var i={fc:{age:r("fc/age"),gender:r("fc/gender")}};return Rt(t,e),{params:i,paramMappings:e}}(r)},e.prototype.extractParams=function(t){var e=t.slice(0,t.length-1539),n=t.slice(t.length-1539);return this.faceFeatureExtractor.extractWeights(e),this.extractClassifierParams(n)},e}(Nt),he=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Object(s.c)(e,t),e.prototype.postProcess=function(t,e,n){var r=n.map(function(t){var n=t.width,r=t.height,i=e/Math.max(r,n);return{width:n*i,height:r*i}}),i=r.length;return a.tidy(function(){var n=function(t,e){return a.stack([a.fill([68],t),a.fill([68],e)],1).as2D(1,136).as1D()},o=function(t,e){var n=r[t],i=n.width,a=n.height;return e(i,a)?Math.abs(i-a)/2:0};return t.mul(a.fill([i,136],e)).sub(a.stack(Array.from(Array(i),function(t,e){return n(function(t){return o(t,function(t,e){return t<e})}(e),function(t){return o(t,function(t,e){return e<t})}(e))}))).div(a.stack(Array.from(Array(i),function(t,e){return n(r[e].width,r[e].height)})))})},e.prototype.forwardInput=function(t){var e=this;return a.tidy(function(){var n=e.runNet(t);return e.postProcess(n,t.inputSize,t.inputDimensions.map(function(t){return{height:t[0],width:t[1]}}))})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 1:return[2,e.apply(this,[n.sent()])]}})})},e.prototype.detectLandmarks=function(t){return Object(s.b)(this,void 0,void 0,function(){var e,n,r,i=this;return Object(s.d)(this,function(o){switch(o.label){case 0:return[4,bt(t)];case 1:return e=o.sent(),n=a.tidy(function(){return a.unstack(i.forwardInput(e))}),[4,Promise.all(n.map(function(t,n){return Object(s.b)(i,void 0,void 0,function(){var r,i,a,o,u;return Object(s.d)(this,function(s){switch(s.label){case 0:return a=(i=Array).from,[4,t.data()];case 1:return r=a.apply(i,[s.sent()]),o=r.filter(function(t,e){return m(e)}),u=r.filter(function(t,e){return!m(e)}),[2,new z(Array(68).fill(0).map(function(t,e){return new _(o[e],u[e])}),{height:e.getInputHeight(n),width:e.getInputWidth(n)})]}})})}))];case 2:return r=o.sent(),n.forEach(function(t){return t.dispose()}),[2,e.isBatchInput?r:r[0]]}})})},e.prototype.getClassifierChannelsOut=function(){return 136},e}(Kt),pe=function(t){function e(e){return void 0===e&&(e=new Ht),t.call(this,"FaceLandmark68Net",e)||this}return Object(s.c)(e,t),e.prototype.getDefaultModelName=function(){return"face_landmark_68_model"},e.prototype.getClassifierChannelsIn=function(){return 256},e}(he);var me=function(t){function e(){return t.call(this,"TinyFaceFeatureExtractor")||this}return Object(s.c)(e,t),e.prototype.forwardInput=function(t){var e=this.params;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return a.tidy(function(){var n=It(I(t.toBatchTensor(112,!0),[122.782,117.001,104.298]).div(a.scalar(255)),e.dense0,!0);return n=It(n=It(n,e.dense1),e.dense2),n=a.avgPool(n,[14,14],[2,2],"valid")})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 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128},e}(he),ve=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Object(s.c)(e,t),e}(pe);function ye(t,e,n,r,i){void 0===i&&(i="same");var o=e.conv,s=o.filters,u=o.bias,c=a.conv2d(t,s,n,i);return c=function(t,e){return a.add(a.mul(t,e.weights),e.biases)}(c=a.add(c,u),e.scale),r?a.relu(c):c}function be(t,e){return ye(t,e,[1,1],!1)}function xe(t,e){return ye(t,e,[2,2],!0,"valid")}function we(t,e){function n(n,r,i,o){var s=function(e,n,r){var i=t(e),o=i.length/(n*r*r);if(p(o))throw new Error("depth has to be an integer: "+o+", weights.length: "+i.length+", numFilters: "+n+", filterSize: "+r);return a.tidy(function(){return a.transpose(a.tensor4d(i,[n,o,r,r]),[2,3,1,0])})}(n,r,i),u=a.tensor1d(t(r));return e.push({paramPath:o+"/filters"},{paramPath:o+"/bias"}),{filters:s,bias:u}}function r(r,i,o,s){return{conv:n(r,i,o,s+"/conv"),scale:function(n,r){var i=a.tensor1d(t(n)),o=a.tensor1d(t(n));return 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e=[],n=ke(t,e),r=n.extractConvLayerParams,i=n.extractResidualLayerParams,a=r("conv32_down"),o=i("conv32_1"),s=i("conv32_2"),u=i("conv32_3"),c=i("conv64_down"),l=i("conv64_1"),d=i("conv64_2"),h=i("conv64_3"),p=i("conv128_down"),m=i("conv128_1"),g=i("conv128_2"),v=i("conv256_down"),y=i("conv256_1"),b=i("conv256_2"),x=i("conv256_down_out"),w=t.fc;if(e.push({originalPath:"fc",paramPath:"fc"}),!f(w))throw new Error("expected weightMap[fc] to be a Tensor2D, instead have "+w);var k={conv32_down:a,conv32_1:o,conv32_2:s,conv32_3:u,conv64_down:c,conv64_1:l,conv64_2:d,conv64_3:h,conv128_down:p,conv128_1:m,conv128_2:g,conv256_down:v,conv256_1:y,conv256_2:b,conv256_down_out:x,fc:w};return Rt(t,e),{params:k,paramMappings:e}}(t)},e.prototype.extractParams=function(t){return function(t){var e=Ut(t),n=e.extractWeights,r=e.getRemainingWeights,i=[],o=we(n,i),s=o.extractConvLayerParams,u=o.extractResidualLayerParams,c=s(4704,32,7,"conv32_down"),l=u(9216,32,3,"conv32_1"),f=u(9216,32,3,"conv32_2"),d=u(9216,32,3,"conv32_3"),h=u(36864,64,3,"conv64_down",!0),p=u(36864,64,3,"conv64_1"),m=u(36864,64,3,"conv64_2"),g=u(36864,64,3,"conv64_3"),v=u(147456,128,3,"conv128_down",!0),y=u(147456,128,3,"conv128_1"),b=u(147456,128,3,"conv128_2"),x=u(589824,256,3,"conv256_down",!0),w=u(589824,256,3,"conv256_1"),k=u(589824,256,3,"conv256_2"),_=u(589824,256,3,"conv256_down_out"),E=a.tidy(function(){return a.transpose(a.tensor2d(n(32768),[128,256]),[1,0])});if(i.push({paramPath:"fc"}),0!==r().length)throw new Error("weights remaing after extract: 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this._minFaceSize||this._minFaceSize<0)throw new Error(this._name+" - expected minFaceSize to be a number > 0");if("number"!=typeof this._scaleFactor||this._scaleFactor<=0||this._scaleFactor>=1)throw new Error(this._name+" - expected scaleFactor to be a number between 0 and 1");if("number"!=typeof this._maxNumScales||this._maxNumScales<0)throw new Error(this._name+" - expected maxNumScales to be a number > 0");if(!Array.isArray(this._scoreThresholds)||3!==this._scoreThresholds.length||this._scoreThresholds.some(function(t){return"number"!=typeof t}))throw new Error(this._name+" - expected scoreThresholds to be an array of numbers of length 3");if(this._scaleSteps&&(!Array.isArray(this._scaleSteps)||this._scaleSteps.some(function(t){return"number"!=typeof t})))throw new Error(this._name+" - expected scaleSteps to be an array of numbers")}return Object.defineProperty(t.prototype,"minFaceSize",{get:function(){return this._minFaceSize},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scaleFactor",{get:function(){return this._scaleFactor},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"maxNumScales",{get:function(){return this._maxNumScales},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scoreThresholds",{get:function(){return this._scoreThresholds},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scaleSteps",{get:function(){return this._scaleSteps},enumerable:!0,configurable:!0}),t}();function Me(t,e){function n(n,r,i,o,s){var u=a.tensor4d(t(n*r*i*i),[i,i,n,r]),c=a.tensor1d(t(r));return e.push({paramPath:o+"/filters"},{paramPath:o+"/"+(s?"batch_norm_offset":"bias")}),{filters:u,bias:c}}function r(t,e,r,i){var a=n(t,e,r,i,!0);return{filters:a.filters,batch_norm_offset:a.bias}}function i(n,i,o){return{depthwise_conv:function(n,r){var i=a.tensor4d(t(9*n),[3,3,n,1]),o=a.tensor1d(t(n)),s=a.tensor1d(t(n)),u=a.tensor1d(t(n)),c=a.tensor1d(t(n));return e.push({paramPath:r+"/filters"},{paramPath:r+"/batch_norm_scale"},{paramPath:r+"/batch_norm_offset"},{paramPath:r+"/batch_norm_mean"},{paramPath:r+"/batch_norm_variance"}),{filters:i,batch_norm_scale:o,batch_norm_offset:s,batch_norm_mean:u,batch_norm_variance:c}}(n,o+"/depthwise_conv"),pointwise_conv:r(n,i,1,o+"/pointwise_conv")}}return{extractMobilenetV1Params:function(){return{conv_0:r(3,32,3,"mobilenetv1/conv_0"),conv_1:i(32,64,"mobilenetv1/conv_1"),conv_2:i(64,128,"mobilenetv1/conv_2"),conv_3:i(128,128,"mobilenetv1/conv_3"),conv_4:i(128,256,"mobilenetv1/conv_4"),conv_5:i(256,256,"mobilenetv1/conv_5"),conv_6:i(256,512,"mobilenetv1/conv_6"),conv_7:i(512,512,"mobilenetv1/conv_7"),conv_8:i(512,512,"mobilenetv1/conv_8"),conv_9:i(512,512,"mobilenetv1/conv_9"),conv_10:i(512,512,"mobilenetv1/conv_10"),conv_11:i(512,512,"mobilenetv1/conv_11"),conv_12:i(512,1024,"mobilenetv1/conv_12"),conv_13:i(1024,1024,"mobilenetv1/conv_13")}},extractPredictionLayerParams:function(){return{conv_0:r(1024,256,1,"prediction_layer/conv_0"),conv_1:r(256,512,3,"prediction_layer/conv_1"),conv_2:r(512,128,1,"prediction_layer/conv_2"),conv_3:r(128,256,3,"prediction_layer/conv_3"),conv_4:r(256,128,1,"prediction_layer/conv_4"),conv_5:r(128,256,3,"prediction_layer/conv_5"),conv_6:r(256,64,1,"prediction_layer/conv_6"),conv_7:r(64,128,3,"prediction_layer/conv_7"),box_predictor_0:{box_encoding_predictor:n(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),class_predictor:n(512,9,1,"prediction_layer/box_predictor_0/class_predictor")},box_predictor_1:{box_encoding_predictor:n(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),class_predictor:n(1024,18,1,"prediction_layer/box_predictor_1/class_predictor")},box_predictor_2:{box_encoding_predictor:n(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),class_predictor:n(512,18,1,"prediction_layer/box_predictor_2/class_predictor")},box_predictor_3:{box_encoding_predictor:n(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),class_predictor:n(256,18,1,"prediction_layer/box_predictor_3/class_predictor")},box_predictor_4:{box_encoding_predictor:n(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),class_predictor:n(256,18,1,"prediction_layer/box_predictor_4/class_predictor")},box_predictor_5:{box_encoding_predictor:n(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),class_predictor:n(128,18,1,"prediction_layer/box_predictor_5/class_predictor")}}}}}function Re(t){var e=[],n=function(t,e){var n=Bt(t,e);function r(t,e,r){return{filters:n(t+"/Conv2d_"+e+"_pointwise/weights",4,r+"/filters"),batch_norm_offset:n(t+"/Conv2d_"+e+"_pointwise/convolution_bn_offset",1,r+"/batch_norm_offset")}}function i(t){var e="mobilenetv1/conv_"+t,i="MobilenetV1/Conv2d_"+t+"_depthwise",a=e+"/depthwise_conv",o=e+"/pointwise_conv";return{depthwise_conv:{filters:n(i+"/depthwise_weights",4,a+"/filters"),batch_norm_scale:n(i+"/BatchNorm/gamma",1,a+"/batch_norm_scale"),batch_norm_offset:n(i+"/BatchNorm/beta",1,a+"/batch_norm_offset"),batch_norm_mean:n(i+"/BatchNorm/moving_mean",1,a+"/batch_norm_mean"),batch_norm_variance:n(i+"/BatchNorm/moving_variance",1,a+"/batch_norm_variance")},pointwise_conv:r("MobilenetV1",t,o)}}function a(t,e){return{filters:n(t+"/weights",4,e+"/filters"),bias:n(t+"/biases",1,e+"/bias")}}function o(t){return{box_encoding_predictor:a("Prediction/BoxPredictor_"+t+"/BoxEncodingPredictor","prediction_layer/box_predictor_"+t+"/box_encoding_predictor"),class_predictor:a("Prediction/BoxPredictor_"+t+"/ClassPredictor","prediction_layer/box_predictor_"+t+"/class_predictor")}}return{extractMobilenetV1Params:function(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:i(1),conv_2:i(2),conv_3:i(3),conv_4:i(4),conv_5:i(5),conv_6:i(6),conv_7:i(7),conv_8:i(8),conv_9:i(9),conv_10:i(10),conv_11:i(11),conv_12:i(12),conv_13:i(13)}},extractPredictionLayerParams:function(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}}}(t,e),r=n.extractMobilenetV1Params,i=n.extractPredictionLayerParams,a=t["Output/extra_dim"];if(e.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!d(a))throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have "+a);var o={mobilenetv1:r(),prediction_layer:i(),output_layer:{extra_dim:a}};return Rt(t,e),{params:o,paramMappings:e}}function Fe(t,e,n){return a.tidy(function(){var r=a.conv2d(t,e.filters,n,"same");return r=a.add(r,e.batch_norm_offset),a.clipByValue(r,0,6)})}var je=.0010000000474974513;function Pe(t,e){return a.tidy(function(){var n=null,r=Fe(t,e.conv_0,[2,2]);if([e.conv_1,e.conv_2,e.conv_3,e.conv_4,e.conv_5,e.conv_6,e.conv_7,e.conv_8,e.conv_9,e.conv_10,e.conv_11,e.conv_12,e.conv_13].forEach(function(t,e){var i=e+1,o=function(t){return[2,4,6,12].some(function(e){return e===t})?[2,2]:[1,1]}(i);r=Fe(r=function(t,e,n){return a.tidy(function(){var r=a.depthwiseConv2d(t,e.filters,n,"same");return r=a.batchNorm(r,e.batch_norm_mean,e.batch_norm_variance,e.batch_norm_offset,e.batch_norm_scale,je),a.clipByValue(r,0,6)})}(r,t.depthwise_conv,o),t.pointwise_conv,[1,1]),11===i&&(n=r)}),null===n)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:n}})}function Le(t,e,n){var r=t.arraySync(),i=Math.min(r[e][0],r[e][2]),a=Math.min(r[e][1],r[e][3]),o=Math.max(r[e][0],r[e][2]),s=Math.max(r[e][1],r[e][3]),u=Math.min(r[n][0],r[n][2]),c=Math.min(r[n][1],r[n][3]),l=Math.max(r[n][0],r[n][2]),f=Math.max(r[n][1],r[n][3]),d=(o-i)*(s-a),h=(l-u)*(f-c);if(d<=0||h<=0)return 0;var p=Math.max(i,u),m=Math.max(a,c),g=Math.min(o,l),v=Math.min(s,f),y=Math.max(g-p,0)*Math.max(v-m,0);return y/(d+h-y)}function ze(t,e){var n=function(t){var e=a.unstack(a.transpose(t,[1,0])),n=[a.sub(e[2],e[0]),a.sub(e[3],e[1])];return{sizes:n,centers:[a.add(e[0],a.div(n[0],a.scalar(2))),a.add(e[1],a.div(n[1],a.scalar(2)))]}}(t),r=n.sizes,i=n.centers,o=a.unstack(a.transpose(e,[1,0])),s=a.div(a.mul(a.exp(a.div(o[2],a.scalar(5))),r[0]),a.scalar(2)),u=a.add(a.mul(a.div(o[0],a.scalar(10)),r[0]),i[0]),c=a.div(a.mul(a.exp(a.div(o[3],a.scalar(5))),r[1]),a.scalar(2)),l=a.add(a.mul(a.div(o[1],a.scalar(10)),r[1]),i[1]);return a.transpose(a.stack([a.sub(u,s),a.sub(l,c),a.add(u,s),a.add(l,c)]),[1,0])}function Be(t,e){return a.tidy(function(){var n=t.shape[0];return{boxPredictionEncoding:a.reshape(Mt(t,e.box_encoding_predictor),[n,-1,1,4]),classPrediction:a.reshape(Mt(t,e.class_predictor),[n,-1,3])}})}var Ue=function(){function t(t){var e=void 0===t?{}:t,n=e.minConfidence,r=e.maxResults;if(this._name="SsdMobilenetv1Options",this._minConfidence=n||.5,this._maxResults=r||100,"number"!=typeof this._minConfidence||this._minConfidence<=0||this._minConfidence>=1)throw new Error(this._name+" - expected minConfidence to be a number between 0 and 1");if("number"!=typeof this._maxResults)throw new Error(this._name+" - expected maxResults to be a number")}return Object.defineProperty(t.prototype,"minConfidence",{get:function(){return this._minConfidence},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"maxResults",{get:function(){return this._maxResults},enumerable:!0,configurable:!0}),t}(),We=function(t){function e(){return t.call(this,"SsdMobilenetv1")||this}return Object(s.c)(e,t),e.prototype.forwardInput=function(t){var e=this.params;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return a.tidy(function(){var n=t.toBatchTensor(512,!1).toFloat(),r=Pe(a.sub(a.mul(n,a.scalar(.007843137718737125)),a.scalar(1)),e.mobilenetv1),i=function(t,e,n){return a.tidy(function(){var r=Fe(Fe(t,n.conv_0,[1,1]),n.conv_1,[2,2]),i=Fe(Fe(r,n.conv_2,[1,1]),n.conv_3,[2,2]),o=Fe(Fe(i,n.conv_4,[1,1]),n.conv_5,[2,2]),s=Fe(Fe(o,n.conv_6,[1,1]),n.conv_7,[2,2]),u=Be(e,n.box_predictor_0),c=Be(t,n.box_predictor_1),l=Be(r,n.box_predictor_2),f=Be(i,n.box_predictor_3),d=Be(o,n.box_predictor_4),h=Be(s,n.box_predictor_5);return{boxPredictions:a.concat([u.boxPredictionEncoding,c.boxPredictionEncoding,l.boxPredictionEncoding,f.boxPredictionEncoding,d.boxPredictionEncoding,h.boxPredictionEncoding],1),classPredictions:a.concat([u.classPrediction,c.classPrediction,l.classPrediction,f.classPrediction,d.classPrediction,h.classPrediction],1)}})}(r.out,r.conv11,e.prediction_layer);return function(t,e,n){return a.tidy(function(){var r=t.shape[0],i=ze(a.reshape(a.tile(n.extra_dim,[r,1,1]),[-1,4]),a.reshape(t,[-1,4]));i=a.reshape(i,[r,i.shape[0]/r,4]);var o=a.sigmoid(a.slice(e,[0,0,1],[-1,-1,-1])),s=a.slice(o,[0,0,0],[-1,-1,1]);return s=a.reshape(s,[r,s.shape[1]]),{boxes:a.unstack(i),scores:a.unstack(s)}})}(i.boxPredictions,i.classPredictions,e.output_layer)})},e.prototype.forward=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=this.forwardInput,[4,bt(t)];case 1:return[2,e.apply(this,[n.sent()])]}})})},e.prototype.locateFaces=function(t,e){return void 0===e&&(e={}),Object(s.b)(this,void 0,void 0,function(){var n,r,i,a,o,u,c,l,f,d,h,p,m,g,v,y,b,x,w,k;return Object(s.d)(this,function(s){switch(s.label){case 0:return n=new Ue(e),r=n.maxResults,i=n.minConfidence,[4,bt(t)];case 1:for(a=s.sent(),o=this.forwardInput(a),u=o.boxes,c=o.scores,l=u[0],f=c[0],d=1;d<u.length;d++)u[d].dispose(),c[d].dispose();return m=(p=Array).from,[4,f.data()];case 2:return h=m.apply(p,[s.sent()]),g=function(t,e,n,r,i){var a=t.shape[0],o=Math.min(n,a),s=function(t){return t<=r?1:0},u=[];return e.map(function(t,e){return{score:t,boxIndex:e}}).filter(function(t){return t.score>i}).sort(function(t,e){return e.score-t.score}).forEach(function(e){if(!(u.length>=o)){for(var n=e.score,r=u.length-1;r>=0;--r){var a=Le(t,e.boxIndex,u[r]);if(0!==a&&(e.score*=s(a),e.score<=i))break}n===e.score&&u.push(e.boxIndex)}}),u}(l,h,r,.5,i),v=a.getReshapedInputDimensions(0),y=a.inputSize,b=y/v.width,x=y/v.height,w=l.arraySync(),k=g.map(function(t){var e=[Math.max(0,w[t][0]),Math.min(1,w[t][2])].map(function(t){return t*x}),n=e[0],r=e[1],i=[Math.max(0,w[t][1]),Math.min(1,w[t][3])].map(function(t){return t*b}),o=i[0],s=i[1];return new C(h[t],new j(o,n,s-o,r-n),{height:a.getInputHeight(0),width:a.getInputWidth(0)})}),l.dispose(),f.dispose(),[2,k]}})})},e.prototype.getDefaultModelName=function(){return"ssd_mobilenetv1_model"},e.prototype.extractParamsFromWeigthMap=function(t){return Re(t)},e.prototype.extractParams=function(t){return function(t){var e=[],n=Ut(t),r=n.extractWeights,i=n.getRemainingWeights,o=Me(r,e),s=o.extractMobilenetV1Params,u=o.extractPredictionLayerParams,c=s(),l=u(),f={extra_dim:a.tensor3d(r(20472),[1,5118,4])};if(e.push({paramPath:"output_layer/extra_dim"}),0!==i().length)throw new Error("weights remaing after extract: "+i().length);return{params:{mobilenetv1:c,prediction_layer:l,output_layer:f},paramMappings:e}}(t)},e}(Nt);function Ve(t){var e=new We;return e.extractWeights(t),e}function qe(t){return Ve(t)}var He,Ge=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Object(s.c)(e,t),e}(We),$e=.4,Ke=[new _(.738768,.874946),new _(2.42204,2.65704),new _(4.30971,7.04493),new _(10.246,4.59428),new _(12.6868,11.8741)],Xe=[new _(1.603231,2.094468),new _(6.041143,7.080126),new _(2.882459,3.518061),new _(4.266906,5.178857),new _(9.041765,10.66308)],Ye=[117.001,114.697,97.404],Je=function(t){return"number"==typeof t};function Ze(t){if(!t)throw new Error("invalid config: 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a.tidy(function(){var e=a.mul(t,a.scalar(.10000000149011612));return a.add(a.relu(a.sub(t,e)),e)})}function tn(t,e){return a.tidy(function(){var n=a.pad(t,[[0,0],[1,1],[1,1],[0,0]]);return n=a.conv2d(n,e.conv.filters,[1,1],"valid"),n=a.sub(n,e.bn.sub),n=a.mul(n,e.bn.truediv),Qe(n=a.add(n,e.conv.bias))})}function en(t,e){return a.tidy(function(){var n=a.pad(t,[[0,0],[1,1],[1,1],[0,0]]);return n=a.separableConv2d(n,e.depthwise_filter,e.pointwise_filter,[1,1],"valid"),Qe(n=a.add(n,e.bias))})}function nn(t,e){var n=Ft(t,e);var r=Lt(t,e);return{extractConvParams:n,extractConvWithBatchNormParams:function(r,i,o){return{conv:n(r,i,3,o+"/conv"),bn:function(n,r){var i=a.tensor1d(t(n)),o=a.tensor1d(t(n));return e.push({paramPath:r+"/sub"},{paramPath:r+"/truediv"}),{sub:i,truediv:o}}(i,o+"/bn")}},extractSeparableConvParams:r}}function rn(t,e){var n=Bt(t,e);function r(t){return{filters:n(t+"/filters",4),bias:n(t+"/bias",1)}}return{extractConvParams:r,extractConvWithBatchNormParams:function(t){return{conv:r(t+"/conv"),bn:function(t){return{sub:n(t+"/sub",1),truediv:n(t+"/truediv",1)}}(t+"/bn")}},extractSeparableConvParams:zt(n)}}!function(t){t[t.XS=224]="XS",t[t.SM=320]="SM",t[t.MD=416]="MD",t[t.LG=608]="LG"}(He||(He={}));var an=function(){function t(t){var e=void 0===t?{}:t,n=e.inputSize,r=e.scoreThreshold;if(this._name="TinyYolov2Options",this._inputSize=n||416,this._scoreThreshold=r||.5,"number"!=typeof this._inputSize||this._inputSize%32!=0)throw new Error(this._name+" - expected inputSize to be a number divisible by 32");if("number"!=typeof this._scoreThreshold||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(this._name+" - expected scoreThreshold to be a number between 0 and 1")}return Object.defineProperty(t.prototype,"inputSize",{get:function(){return this._inputSize},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scoreThreshold",{get:function(){return this._scoreThreshold},enumerable:!0,configurable:!0}),t}(),on=function(t){function e(e){var n=t.call(this,"TinyYolov2")||this;return Ze(e),n._config=e,n}return Object(s.c)(e,t),Object.defineProperty(e.prototype,"config",{get:function(){return this._config},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"withClassScores",{get:function(){return this.config.withClassScores||this.config.classes.length>1},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"boxEncodingSize",{get:function(){return 5+(this.withClassScores?this.config.classes.length:0)},enumerable:!0,configurable:!0}),e.prototype.runTinyYolov2=function(t,e){var n=tn(t,e.conv0);return n=tn(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv1),n=tn(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv2),n=tn(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv3),n=tn(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv4),n=tn(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv5),Mt(n=tn(n=tn(n=a.maxPool(n,[2,2],[1,1],"same"),e.conv6),e.conv7),e.conv8,"valid",!1)},e.prototype.runMobilenet=function(t,e){var n=this.config.isFirstLayerConv2d?Qe(Mt(t,e.conv0,"valid",!1)):en(t,e.conv0);return n=en(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv1),n=en(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv2),n=en(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv3),n=en(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv4),n=en(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv5),n=a.maxPool(n,[2,2],[1,1],"same"),n=e.conv6?en(n,e.conv6):n,Mt(n=e.conv7?en(n,e.conv7):n,e.conv8,"valid",!1)},e.prototype.forwardInput=function(t,e){var n=this,r=this.params;if(!r)throw new Error("TinyYolov2 - load model before inference");return a.tidy(function(){var i=t.toBatchTensor(e,!1).toFloat();return i=(i=n.config.meanRgb?I(i,n.config.meanRgb):i).div(a.scalar(256)),n.config.withSeparableConvs?n.runMobilenet(i,r):n.runTinyYolov2(i,r)})},e.prototype.forward=function(t,e){return Object(s.b)(this,void 0,void 0,function(){var n;return Object(s.d)(this,function(r){switch(r.label){case 0:return n=this.forwardInput,[4,bt(t)];case 1:return[4,n.apply(this,[r.sent(),e])];case 2:return[2,r.sent()]}})})},e.prototype.detect=function(t,e){return void 0===e&&(e={}),Object(s.b)(this,void 0,void 0,function(){var n,r,i,o,u,c,l,f,d,h,p,m,g,v=this;return Object(s.d)(this,function(s){switch(s.label){case 0:return n=new an(e),r=n.inputSize,i=n.scoreThreshold,[4,bt(t)];case 1:return o=s.sent(),[4,this.forwardInput(o,r)];case 2:return u=s.sent(),c=a.tidy(function(){return a.unstack(u)[0].expandDims()}),l={width:o.getInputWidth(0),height:o.getInputHeight(0)},[4,this.extractBoxes(c,o.getReshapedInputDimensions(0),i)];case 3:return f=s.sent(),u.dispose(),c.dispose(),d=f.map(function(t){return t.box}),h=f.map(function(t){return t.score}),p=f.map(function(t){return t.classScore}),m=f.map(function(t){return v.config.classes[t.label]}),g=T(d.map(function(t){return t.rescale(r)}),h,this.config.iouThreshold,!0),[2,g.map(function(t){return new S(h[t],p[t],m[t],d[t],l)})]}})})},e.prototype.getDefaultModelName=function(){return""},e.prototype.extractParamsFromWeigthMap=function(t){return function(t,e){var n,r=[],i=rn(t,r),a=i.extractConvParams,o=i.extractConvWithBatchNormParams,s=i.extractSeparableConvParams;if(e.withSeparableConvs){var u=e.filterSizes&&e.filterSizes.length||9;n={conv0:e.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:u>7?s("conv6"):void 0,conv7:u>8?s("conv7"):void 0,conv8:a("conv8")}}else n={conv0:o("conv0"),conv1:o("conv1"),conv2:o("conv2"),conv3:o("conv3"),conv4:o("conv4"),conv5:o("conv5"),conv6:o("conv6"),conv7:o("conv7"),conv8:a("conv8")};return Rt(t,r),{params:n,paramMappings:r}}(t,this.config)},e.prototype.extractParams=function(t){var n=this.config.filterSizes||e.DEFAULT_FILTER_SIZES,r=n?n.length:void 0;if(7!==r&&8!==r&&9!==r)throw new Error("TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found "+r+" filterSizes in config");return function(t,e,n,r){var i,a=Ut(t),o=a.extractWeights,s=a.getRemainingWeights,u=[],c=nn(o,u),l=c.extractConvParams,f=c.extractConvWithBatchNormParams,d=c.extractSeparableConvParams;if(e.withSeparableConvs){var h=r[0],p=r[1],m=r[2],g=r[3],v=r[4],y=r[5],b=r[6],x=r[7],w=r[8];i={conv0:e.isFirstLayerConv2d?l(h,p,3,"conv0"):d(h,p,"conv0"),conv1:d(p,m,"conv1"),conv2:d(m,g,"conv2"),conv3:d(g,v,"conv3"),conv4:d(v,y,"conv4"),conv5:d(y,b,"conv5"),conv6:x?d(b,x,"conv6"):void 0,conv7:w?d(x,w,"conv7"):void 0,conv8:l(w||x||b,5*n,1,"conv8")}}else h=r[0],p=r[1],m=r[2],g=r[3],v=r[4],y=r[5],b=r[6],x=r[7],w=r[8],i={conv0:f(h,p,"conv0"),conv1:f(p,m,"conv1"),conv2:f(m,g,"conv2"),conv3:f(g,v,"conv3"),conv4:f(v,y,"conv4"),conv5:f(y,b,"conv5"),conv6:f(b,x,"conv6"),conv7:f(x,w,"conv7"),conv8:l(w,5*n,1,"conv8")};if(0!==s().length)throw new Error("weights remaing after extract: "+s().length);return{params:i,paramMappings:u}}(t,this.config,this.boxEncodingSize,n)},e.prototype.extractBoxes=function(t,e,n){return Object(s.b)(this,void 0,void 0,function(){var r,i,o,u,c,l,f,d,h,p,m,g,v,y,b,x,w,k,_,E,S,C,A,N,T,I,D,M,F,j=this;return Object(s.d)(this,function(P){switch(P.label){case 0:return r=e.width,i=e.height,o=Math.max(r,i),u=o/r,c=o/i,l=t.shape[1],f=this.config.anchors.length,d=a.tidy(function(){var e=t.reshape([l,l,f,j.boxEncodingSize]);return[e.slice([0,0,0,0],[l,l,f,4]),e.slice([0,0,0,4],[l,l,f,1]),j.withClassScores?a.softmax(e.slice([0,0,0,5],[l,l,f,j.config.classes.length]),3):a.scalar(0)]}),h=d[0],p=d[1],m=d[2],g=[],[4,p.array()];case 1:return v=P.sent(),[4,h.array()];case 2:y=P.sent(),b=0,P.label=3;case 3:if(!(b<l))return[3,12];x=0,P.label=4;case 4:if(!(x<l))return[3,11];w=0,P.label=5;case 5:return w<f?(k=R(v[b][x][w][0]),!n||k>n?(_=(x+R(y[b][x][w][0]))/l*u,E=(b+R(y[b][x][w][1]))/l*c,S=Math.exp(y[b][x][w][2])*this.config.anchors[w].x/l*u,C=Math.exp(y[b][x][w][3])*this.config.anchors[w].y/l*c,A=_-S/2,N=E-C/2,T={row:b,col:x,anchor:w},this.withClassScores?[4,this.extractPredictedClass(m,T)]:[3,7]):[3,9]):[3,10];case 6:return F=P.sent(),[3,8];case 7:F={classScore:1,label:0},P.label=8;case 8:D=(I=F).classScore,M=I.label,g.push(Object(s.a)({box:new O(A,N,A+S,N+C),score:k,classScore:k*D,label:M},T)),P.label=9;case 9:return w++,[3,5];case 10:return x++,[3,4];case 11:return b++,[3,3];case 12:return h.dispose(),p.dispose(),m.dispose(),[2,g]}})})},e.prototype.extractPredictedClass=function(t,e){return Object(s.b)(this,void 0,void 0,function(){var n,r,i,a;return Object(s.d)(this,function(o){switch(o.label){case 0:return n=e.row,r=e.col,i=e.anchor,[4,t.array()];case 1:return a=o.sent(),[2,Array(this.config.classes.length).fill(0).map(function(t,e){return a[n][r][i][e]}).map(function(t,e){return{classScore:t,label:e}}).reduce(function(t,e){return t.classScore>e.classScore?t:e})]}})})},e.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024],e}(Nt),sn=function(t){function e(e){void 0===e&&(e=!0);var n=Object.assign({},{withSeparableConvs:e,iouThreshold:$e,classes:["face"]},e?{anchors:Xe,meanRgb:Ye}:{anchors:Ke,withClassScores:!0});return t.call(this,n)||this}return Object(s.c)(e,t),Object.defineProperty(e.prototype,"withSeparableConvs",{get:function(){return this.config.withSeparableConvs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"anchors",{get:function(){return this.config.anchors},enumerable:!0,configurable:!0}),e.prototype.locateFaces=function(t,e){return Object(s.b)(this,void 0,void 0,function(){return Object(s.d)(this,function(n){switch(n.label){case 0:return[4,this.detect(t,e)];case 1:return[2,n.sent().map(function(t){return new C(t.score,t.relativeBox,{width:t.imageWidth,height:t.imageHeight})})]}})})},e.prototype.getDefaultModelName=function(){return this.withSeparableConvs?"tiny_yolov2_separable_conv_model":"tiny_yolov2_model"},e.prototype.extractParamsFromWeigthMap=function(e){return t.prototype.extractParamsFromWeigthMap.call(this,e)},e}(on);function un(t,e){void 0===e&&(e=!0);var n=new sn(e);return n.extractWeights(t),n}var cn=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e._name="TinyFaceDetectorOptions",e}return Object(s.c)(e,t),e}(an),ln=function(){function t(){}return t.prototype.then=function(t){return Object(s.b)(this,void 0,void 0,function(){var e;return Object(s.d)(this,function(n){switch(n.label){case 0:return e=t,[4,this.run()];case 1:return[2,e.apply(void 0,[n.sent()])]}})})},t.prototype.run=function(){return Object(s.b)(this,void 0,void 0,function(){return Object(s.d)(this,function(t){throw new Error("ComposableTask - run is not implemented")})})},t}();function fn(t,e,n,r,i){return void 0===i&&(i=function(t){return t.alignedRect}),Object(s.b)(this,void 0,void 0,function(){var o,u,c,l,f;return Object(s.d)(this,function(s){switch(s.label){case 0:return o=t.map(function(t){return ee(t)?i(t):t.detection}),(c=r)?[3,5]:e instanceof a.Tensor?[4,wt(e,o)]:[3,2];case 1:return l=s.sent(),[3,4];case 2:return[4,xt(e,o)];case 3:l=s.sent(),s.label=4;case 4:c=l,s.label=5;case 5:return[4,n(u=c)];case 6:return f=s.sent(),u.forEach(function(t){return t instanceof a.Tensor&&t.dispose()}),[2,f]}})})}function dn(t,e,n,r,i){return Object(s.b)(this,void 0,void 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t=o([3,28,48,64],"rnet",!0),e=r(576,128,"rnet/fc1"),n=i(128,"rnet/prelu4_alpha"),a=r(128,2,"rnet/fc2_1"),u=r(128,4,"rnet/fc2_2");return Object(s.a)(Object(s.a)({},t),{fc1:e,prelu4_alpha:n,fc2_1:a,fc2_2:u})},extractONetParams:function(){var t=o([3,32,64,64],"onet"),e=n(64,128,2,"onet/conv4"),a=i(128,"onet/prelu4_alpha"),u=r(1152,256,"onet/fc1"),c=i(256,"onet/prelu5_alpha"),l=r(256,2,"onet/fc2_1"),f=r(256,4,"onet/fc2_2"),d=r(256,10,"onet/fc2_3");return Object(s.a)(Object(s.a)({},t),{conv4:e,prelu4_alpha:a,fc1:u,prelu5_alpha:c,fc2_1:l,fc2_2:f,fc2_3:d})}}}(n,i),u=o.extractPNetParams,c=o.extractRNetParams,l=o.extractONetParams,f=u(),d=c(),h=l();if(0!==r().length)throw new Error("weights remaing after extract: "+r().length);return{params:{pnet:f,rnet:d,onet:h},paramMappings:i}}function gn(t){var e=[],n=function(t,e){var n=Bt(t,e);function r(t){return{filters:n(t+"/weights",4,t+"/filters"),bias:n(t+"/bias",1)}}function i(t){return{weights:n(t+"/weights",2),bias:n(t+"/bias",1)}}function a(t){return n(t,1)}function o(t){return{conv1:r(t+"/conv1"),prelu1_alpha:a(t+"/prelu1_alpha"),conv2:r(t+"/conv2"),prelu2_alpha:a(t+"/prelu2_alpha"),conv3:r(t+"/conv3"),prelu3_alpha:a(t+"/prelu3_alpha")}}return{extractPNetParams:function(){var t=o("pnet"),e=r("pnet/conv4_1"),n=r("pnet/conv4_2");return Object(s.a)(Object(s.a)({},t),{conv4_1:e,conv4_2:n})},extractRNetParams:function(){var t=o("rnet"),e=i("rnet/fc1"),n=a("rnet/prelu4_alpha"),r=i("rnet/fc2_1"),u=i("rnet/fc2_2");return Object(s.a)(Object(s.a)({},t),{fc1:e,prelu4_alpha:n,fc2_1:r,fc2_2:u})},extractONetParams:function(){var t=o("onet"),e=r("onet/conv4"),n=a("onet/prelu4_alpha"),u=i("onet/fc1"),c=a("onet/prelu5_alpha"),l=i("onet/fc2_1"),f=i("onet/fc2_2"),d=i("onet/fc2_3");return Object(s.a)(Object(s.a)({},t),{conv4:e,prelu4_alpha:n,fc1:u,prelu5_alpha:c,fc2_1:l,fc2_2:f,fc2_3:d})}}}(t,e),r=n.extractPNetParams,i=n.extractRNetParams,a=n.extractONetParams,o=r(),u=i(),c=a();return Rt(t,e),{params:{pnet:o,rnet:u,onet:c},paramMappings:e}}function vn(t,e){var n=e[0],r=e[1];return{height:Math.floor(n*t),width:Math.floor(r*t)}}var yn=function(t){function e(e,n,r,i){return t.call(this,{left:e,top:n,right:r,bottom:i},!0)||this}return Object(s.c)(e,t),e}(E);function bn(t){return a.tidy(function(){return a.mul(a.sub(t,a.scalar(127.5)),a.scalar(.0078125))})}function xn(t,e){return a.tidy(function(){return a.add(a.relu(t),a.mul(e,a.neg(a.relu(a.neg(t)))))})}function wn(t,e,n){return void 0===n&&(n=!1),a.tidy(function(){var r=Mt(t,e.conv1,"valid");return r=xn(r,e.prelu1_alpha),r=xn(r=Mt(r=a.maxPool(r,n?[2,2]:[3,3],[2,2],"same"),e.conv2,"valid"),e.prelu2_alpha),r=xn(r=Mt(r=n?r:a.maxPool(r,[3,3],[2,2],"valid"),e.conv3,"valid"),e.prelu3_alpha)})}function kn(t,e,n,r,i){i.stage1=[];var o=e.map(function(e){return a.tidy(function(){var n={scale:e},i=function(t,e){return a.tidy(function(){var n=vn(e,t.shape.slice(1)),r=n.height,i=n.width,o=bn(a.image.resizeBilinear(t,[r,i]));return a.transpose(o,[0,2,1,3])})}(t,e),o=Date.now(),s=function(t,e){return a.tidy(function(){var n=wn(t,e,!0),r=Mt(n,e.conv4_1,"valid"),i=a.expandDims(a.max(r,3),3);return{prob:a.softmax(a.sub(r,i),3),regions:Mt(n,e.conv4_2,"valid")}})}(i,r),u=s.prob,c=s.regions;return n.pnet=Date.now()-o,{scoresTensor:a.unstack(a.unstack(u,3)[1])[0],regionsTensor:a.unstack(c)[0],scale:e,statsForScale:n}})}).map(function(t){var e=t.scoresTensor,r=t.regionsTensor,a=t.scale,o=t.statsForScale,s=function(t,e,n,r){for(var i=[],a=t.arraySync(),o=0;o<t.shape[0];o++)for(var s=0;s<t.shape[1];s++)a[o][s]>=r&&i.push(new _(s,o));return i.map(function(t){var r=new O(Math.round((t.y*hn+1)/n),Math.round((t.x*hn+1)/n),Math.round((t.y*hn+pn)/n),Math.round((t.x*hn+pn)/n)),i=a[t.y][t.x],o=e.arraySync();return{cell:r,score:i,region:new yn(o[t.y][t.x][0],o[t.y][t.x][1],o[t.y][t.x][2],o[t.y][t.x][3])}})}(e,r,a,n);if(e.dispose(),r.dispose(),!s.length)return i.stage1.push(o),[];var u=Date.now(),c=T(s.map(function(t){return t.cell}),s.map(function(t){return t.score}),.5);return o.nms=Date.now()-u,o.numBoxes=c.length,i.stage1.push(o),c.map(function(t){return s[t]})}).reduce(function(t,e){return t.concat(e)},[]),s=[],u=[];if(o.length>0){var c=Date.now(),l=T(o.map(function(t){return t.cell}),o.map(function(t){return t.score}),.7);i.stage1_nms=Date.now()-c,u=l.map(function(t){return o[t].score}),s=l.map(function(t){return o[t]}).map(function(t){var e=t.cell,n=t.region;return new O(e.left+n.left*e.width,e.top+n.top*e.height,e.right+n.right*e.width,e.bottom+n.bottom*e.height).toSquare().round()})}return{boxes:s,scores:u}}function _n(t,e,n){var r=n.width,i=n.height;return Object(s.b)(this,void 0,void 0,function(){var n,o,u,c=this;return Object(s.d)(this,function(l){switch(l.label){case 0:return n=rt(t),[4,Promise.all(e.map(function(e){return Object(s.b)(c,void 0,void 0,function(){var r,i,a,o,u,c,l,f;return Object(s.d)(this,function(s){return 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n=wn(t,e),r=xn(Gt(a.reshape(n,[n.shape[0],e.fc1.weights.shape[0]]),e.fc1),e.prelu4_alpha),i=Gt(r,e.fc2_1),o=a.expandDims(a.max(i,1),1),s=a.softmax(a.sub(i,o),1),u=Gt(r,e.fc2_2);return{scores:a.unstack(s,1)[1],regions:u}})}(t,r);return t.dispose(),e}),i.stage2_rnet=Date.now()-o,l=c.length>1?a.concat(c.map(function(t){return t.scores})):c[0].scores,h=(d=Array).from,[4,l.data()];case 2:return f=h.apply(d,[s.sent()]),l.dispose(),p=f.map(function(t,e){return{score:t,idx:e}}).filter(function(t){return t.score>n}).map(function(t){return t.idx}),m=p.map(function(t){return e[t]}),g=p.map(function(t){return f[t]}),v=[],y=[],m.length>0&&(o=Date.now(),b=T(m,g,.7),i.stage2_nms=Date.now()-o,x=b.map(function(t){var e=c[p[t]].regions.arraySync();return new yn(e[0][0],e[0][1],e[0][2],e[0][3])}),y=b.map(function(t){return g[t]}),v=b.map(function(t,e){return m[t].calibrate(x[e])})),c.forEach(function(t){t.regions.dispose(),t.scores.dispose()}),[2,{boxes:v,scores:y}]}})})}function On(t,e,n,r,i){return Object(s.b)(this,void 0,void 0,function(){var o,u,c,l,f,d,h,p,m,g,v,y,b,x,w;return Object(s.d)(this,function(s){switch(s.label){case 0:return o=Date.now(),[4,_n(t,e,{width:48,height:48})];case 1:return u=s.sent(),i.stage3_extractImagePatches=Date.now()-o,o=Date.now(),c=u.map(function(t){var e=function(t,e){return a.tidy(function(){var n=wn(t,e);n=xn(n=Mt(n=a.maxPool(n,[2,2],[2,2],"same"),e.conv4,"valid"),e.prelu4_alpha);var r=xn(Gt(a.reshape(n,[n.shape[0],e.fc1.weights.shape[0]]),e.fc1),e.prelu5_alpha),i=Gt(r,e.fc2_1),o=a.expandDims(a.max(i,1),1),s=a.softmax(a.sub(i,o),1),u=Gt(r,e.fc2_2),c=Gt(r,e.fc2_3);return{scores:a.unstack(s,1)[1],regions:u,points:c}})}(t,r);return t.dispose(),e}),i.stage3_onet=Date.now()-o,l=c.length>1?a.concat(c.map(function(t){return t.scores})):c[0].scores,h=(d=Array).from,[4,l.data()];case 2:return f=h.apply(d,[s.sent()]),l.dispose(),p=f.map(function(t,e){return{score:t,idx:e}}).filter(function(t){return t.score>n}).map(function(t){return 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e.sub(new _(t.left,t.top)).div(new _(t.width,t.height))}),{width:t.width,height:t.height}))}),[2,c({results:O,stats:i})]}})})},e.prototype.forward=function(t,e){return void 0===e&&(e={}),Object(s.b)(this,void 0,void 0,function(){var n;return Object(s.d)(this,function(r){switch(r.label){case 0:return n=this.forwardInput,[4,bt(t)];case 1:return[4,n.apply(this,[r.sent(),e])];case 2:return[2,r.sent().results]}})})},e.prototype.forwardWithStats=function(t,e){return void 0===e&&(e={}),Object(s.b)(this,void 0,void 0,function(){var n;return Object(s.d)(this,function(r){switch(r.label){case 0:return n=this.forwardInput,[4,bt(t)];case 1:return[2,n.apply(this,[r.sent(),e])]}})})},e.prototype.getDefaultModelName=function(){return"mtcnn_model"},e.prototype.extractParamsFromWeigthMap=function(t){return gn(t)},e.prototype.extractParams=function(t){return mn(t)},e}(Nt),Cn=.4,An=[new _(1.603231,2.094468),new _(6.041143,7.080126),new _(2.882459,3.518061),new _(4.266906,5.178857),new 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In.faceRecognitionNet.load(t)},Kn=function(t){return In.faceExpressionNet.load(t)},Xn=function(t){return In.ageGenderNet.load(t)},Yn=Un,Jn=Dn,Zn=jn,Qn=function(t){function e(e,n,r){var i=t.call(this)||this;return i.parentTask=e,i.input=n,i.extractedFaces=r,i}return Object(s.c)(e,t),e}(ln),tr=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Object(s.c)(e,t),e.prototype.run=function(){return Object(s.b)(this,void 0,void 0,function(){var t,e,n=this;return Object(s.d)(this,function(r){switch(r.label){case 0:return[4,this.parentTask];case 1:return[4,fn(t=r.sent(),this.input,function(t){return Object(s.b)(n,void 0,void 0,function(){return Object(s.d)(this,function(e){switch(e.label){case 0:return[4,Promise.all(t.map(function(t){return In.faceExpressionNet.predictExpressions(t)}))];case 1:return[2,e.sent()]}})})},this.extractedFaces)];case 2:return e=r.sent(),[2,t.map(function(t,n){return Qt(t,e[n])})]}})})},e.prototype.withAgeAndGender=function(){return new 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Promise(function(e){return Object(s.b)(t,void 0,void 0,function(){var t;return Object(s.d)(this,function(n){switch(n.label){case 0:return[4,this.run()];case 1:return t=n.sent(),[2,e(t.map(function(t){return H({},t)}))]}})})})},e.prototype.withFaceLandmarks=function(t){return void 0===t&&(t=!1),new hr(this.runAndExtendWithFaceDetections(),this.input,t)},e.prototype.withFaceExpressions=function(){return new tr(this.runAndExtendWithFaceDetections(),this.input)},e.prototype.withAgeAndGender=function(){return new ar(this.runAndExtendWithFaceDetections(),this.input)},e}(mr),vr=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Object(s.c)(e,t),e.prototype.run=function(){return Object(s.b)(this,void 0,void 0,function(){var t,e;return Object(s.d)(this,function(n){switch(n.label){case 0:return[4,new gr(this.input,this.options)];case 1:return 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ensure \nthat the use of this software reflects the values \nof the ml5.js community:\n↳ https://ml5js.org/about\n\nReporting: \n↳ https://github.com/ml5js/ml5-library/issues\n↳ Email: info@ml5js.org \n🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈")}},function(t,e,n){"use strict";n.r(e),n.d(e,"load",function(){return T}),n.d(e,"HandPose",function(){return I});var r=n(0),i=n(20);
  /**
   * @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 a(t){return[Math.abs(t.endPoint[0]-t.startPoint[0]),Math.abs(t.endPoint[1]-t.startPoint[1])]}function o(t){return[t.startPoint[0]+(t.endPoint[0]-t.startPoint[0])/2,t.startPoint[1]+(t.endPoint[1]-t.startPoint[1])/2]}function s(t,e=1.5){const n=o(t),r=a(t),i=[e*r[0]/2,e*r[1]/2];return{startPoint:[n[0]-i[0],n[1]-i[1]],endPoint:[n[0]+i[0],n[1]+i[1]],palmLandmarks:t.palmLandmarks}}function u(t){const e=o(t),n=a(t),r=Math.max(...n)/2;return{startPoint:[e[0]-r,e[1]-r],endPoint:[e[0]+r,e[1]+r],palmLandmarks:t.palmLandmarks}}function c(t,e){const n=[t.endPoint[0]-t.startPoint[0],t.endPoint[1]-t.startPoint[1]],r=[n[0]*e[0],n[1]*e[1]];return{startPoint:[t.startPoint[0]+r[0],t.startPoint[1]+r[1]],endPoint:[t.endPoint[0]+r[0],t.endPoint[1]+r[1]],palmLandmarks:t.palmLandmarks}}class l{constructor(t,e,n,i,a,o){this.model=t,this.width=e,this.height=n,this.iouThreshold=a,this.scoreThreshold=o,this.anchors=i.map(t=>[t.x_center,t.y_center]),this.anchorsTensor=Object(r.tensor2d)(this.anchors),this.inputSizeTensor=Object(r.tensor1d)([e,n]),this.doubleInputSizeTensor=Object(r.tensor1d)([2*e,2*n])}normalizeBoxes(t){return Object(r.tidy)(()=>{const e=Object(r.slice)(t,[0,0],[-1,2]),n=Object(r.slice)(t,[0,2],[-1,2]),i=Object(r.add)(Object(r.div)(e,this.inputSizeTensor),this.anchorsTensor),a=Object(r.div)(n,this.doubleInputSizeTensor),o=Object(r.mul)(Object(r.sub)(i,a),this.inputSizeTensor),s=Object(r.mul)(Object(r.add)(i,a),this.inputSizeTensor);return Object(r.concat2d)([o,s],1)})}normalizeLandmarks(t,e){return Object(r.tidy)(()=>{const n=Object(r.add)(Object(r.div)(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[e]);return Object(r.mul)(n,this.inputSizeTensor)})}getBoundingBoxes(t){return Object(r.tidy)(()=>{const e=Object(r.mul)(Object(r.sub)(t,.5),2),n=Object(r.env)().get("WEBGL_PACK_DEPTHWISECONV");Object(r.env)().set("WEBGL_PACK_DEPTHWISECONV",!0);const i=this.model.predict(e).squeeze();Object(r.env)().set("WEBGL_PACK_DEPTHWISECONV",n);const a=Object(r.sigmoid)(Object(r.slice)(i,[0,0],[-1,1])).squeeze(),o=Object(r.slice)(i,[0,1],[-1,4]),s=this.normalizeBoxes(o),u=console.warn;console.warn=(()=>{});const c=r.image.nonMaxSuppression(s,a,1,this.iouThreshold,this.scoreThreshold).arraySync();if(console.warn=u,0===c.length)return null;const l=c[0],f=Object(r.slice)(s,[l,0],[1,-1]),d=Object(r.slice)(i,[l,5],[1,14]);return{boxes:f,palmLandmarks:this.normalizeLandmarks(d,l).reshape([-1,2])}})}estimateHandBounds(t){const e=t.shape[1],n=t.shape[2],i=Object(r.tidy)(()=>t.resizeBilinear([this.width,this.height]).div(255)),a=this.getBoundingBoxes(i);if(null===a)return i.dispose(),null;const o=a.boxes.arraySync(),s=o[0].slice(0,2),u=o[0].slice(2,4),c=a.palmLandmarks.arraySync();return i.dispose(),a.boxes.dispose(),a.palmLandmarks.dispose(),function(t,e){return{startPoint:[t.startPoint[0]*e[0],t.startPoint[1]*e[1]],endPoint:[t.endPoint[0]*e[0],t.endPoint[1]*e[1]],palmLandmarks:t.palmLandmarks.map(t=>[t[0]*e[0],t[1]*e[1]])}}({startPoint:s,endPoint:u,palmLandmarks:c},[n/this.width,e/this.height])}}const f={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]};function d(t,e){return function(t){return t-2*Math.PI*Math.floor((t+Math.PI)/(2*Math.PI))}(Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]))}const h=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function p(t,e){let n=0;for(let r=0;r<t.length;r++)n+=t[r]*e[r];return n}function m(t,e){const n=[];for(let r=0;r<t.length;r++)n.push(t[r][e]);return n}function g(t,e){const n=[],r=t.length;for(let i=0;i<r;i++){n.push([]);for(let a=0;a<r;a++)n[i].push(p(t[i],m(e,a)))}return n}function v(t,e){const n=Math.cos(t),r=Math.sin(t),i=[[n,-r,0],[r,n,0],[0,0,1]];return g(g(h(e[0],e[1]),i),h(-e[0],-e[1]))}function y(t,e){return[p(t,e[0]),p(t,e[1])]}const b=.8,x=[0,-.4],w=3,k=[0,-.1],_=1.65,E=[0,5,9,13,17,1,2],O=0,S=2;class C{constructor(t,e,n,r,i,a){this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.boundingBoxDetector=t,this.meshDetector=e,this.maxContinuousChecks=i,this.detectionConfidence=a,this.meshWidth=n,this.meshHeight=r,this.maxHandsNumber=1}getBoxForPalmLandmarks(t,e){const n=t.map(t=>y([...t,1],e));return s(u(c(this.calculateLandmarksBoundingBox(n),x)),w)}getBoxForHandLandmarks(t){const e=s(u(c(this.calculateLandmarksBoundingBox(t),k)),_),n=[];for(let e=0;e<E.length;e++)n.push(t[E[e]].slice(0,2));return e.palmLandmarks=n,e}transformRawCoords(t,e,n,r){const i=a(e),s=[i[0]/this.meshWidth,i[1]/this.meshHeight],u=t.map(t=>[s[0]*(t[0]-this.meshWidth/2),s[1]*(t[1]-this.meshHeight/2),t[2]]),c=v(n,[0,0]),l=u.map(t=>[...y(t,c),t[2]]),f=function(t){const e=[[t[0][0],t[1][0]],[t[0][1],t[1][1]]],n=[t[0][2],t[1][2]],r=[-p(e[0],n),-p(e[1],n)];return[e[0].concat(r[0]),e[1].concat(r[1]),[0,0,1]]}(r),d=[...o(e),1],h=[p(d,f[0]),p(d,f[1])];return l.map(t=>[t[0]+h[0],t[1]+h[1],t[2]])}async estimateHand(t){const e=this.shouldUpdateRegionsOfInterest();if(!0===e){const e=this.boundingBoxDetector.estimateHandBounds(t);if(null===e)return t.dispose(),this.regionsOfInterest=[],null;this.updateRegionsOfInterest(e,!0),this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const n=this.regionsOfInterest[0],i=d(n.palmLandmarks[O],n.palmLandmarks[S]),a=o(n),s=[a[0]/t.shape[2],a[1]/t.shape[1]];let u;const c=Object(r.getBackend)();if("webgl"===c)u=function(t,e,n,i){const a=t.shape,o=a[1],s=a[2],u=Math.sin(e),c=Math.cos(e),l=Math.floor(s*("number"==typeof i?i:i[0])),f=Math.floor(o*("number"==typeof i?i:i[1]));let d="";const h={variableNames:["Image"],outputShape:a,userCode:`\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int x = coords[2];\n        int y = coords[1];\n        int coordX = int(float(x - ${l}) * ${c} -\n          float(y - ${f}) * ${u});\n        int coordY = int(float(x - ${l}) * ${u} +\n          float(y - ${f}) * ${c});\n        coordX = int(coordX + ${l});\n        coordY = int(coordY + ${f});\n\n        ${d="number"==typeof n?`float outputValue = ${n.toFixed(2)};`:`\n      vec3 fill = vec3(${n.join(",")});\n      float outputValue = fill[coords[3]];`}\n\n        if(coordX > 0 && coordX < ${s} && coordY > 0 && coordY < ${o}) {\n          outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n        }\n\n      setOutput(outputValue);\n    }`};return Object(r.backend)().compileAndRun(h,[t])}(t,i,0,s);else{if("cpu"!==c)throw new Error(`Handpose is not yet supported by the ${c} `+"backend - rotation kernel is not defined.");u=function(t,e,n,i){const a=Object(r.backend)(),o=Object(r.buffer)(t.shape,t.dtype),[s,u,c,l]=t.shape,f=c*("number"==typeof i?i:i[0]),d=u*("number"==typeof i?i:i[1]),h=Math.sin(-e),p=Math.cos(-e),m=a.readSync(t.dataId);for(let t=0;t<s;t++)for(let e=0;e<u;e++)for(let r=0;r<c;r++)for(let i=0;i<l;i++){const a=[s,e,r,i],g=a[2],v=a[1];let y=(g-f)*p-(v-d)*h,b=(g-f)*h+(v-d)*p;y=Math.round(y+f),b=Math.round(b+d);let x=n;"number"!=typeof n&&(x=3===i?255:n[i]),y>=0&&y<c&&b>=0&&b<u&&(x=m[t*c*u*l+b*(c*l)+y*l+i]);const w=t*c*u*l+e*(c*l)+r*l+i;o.values[w]=x}return o.toTensor()}(t,i,0,s)}const l=v(-i,a);let f;const h=function(t,e,n){const i=e.shape[1],a=e.shape[2],o=[[t.startPoint[1]/i,t.startPoint[0]/a,t.endPoint[1]/i,t.endPoint[0]/a]];return r.image.cropAndResize(e,o,[0],n)}(f=!0===e?this.getBoxForPalmLandmarks(n.palmLandmarks,l):n,u,[this.meshWidth,this.meshHeight]),p=h.div(255);h.dispose(),u.dispose();const m=Object(r.env)().get("WEBGL_PACK_DEPTHWISECONV");Object(r.env)().set("WEBGL_PACK_DEPTHWISECONV",!0);const[g,y]=this.meshDetector.predict(p);Object(r.env)().set("WEBGL_PACK_DEPTHWISECONV",m),p.dispose();const b=g.dataSync()[0];if(g.dispose(),b<this.detectionConfidence)return y.dispose(),this.regionsOfInterest=[],null;const x=Object(r.reshape)(y,[-1,3]),w=x.arraySync();y.dispose(),x.dispose();const k=this.transformRawCoords(w,f,i,l),_=this.getBoxForHandLandmarks(k);return this.updateRegionsOfInterest(_,!1),{landmarks:k,handInViewConfidence:b,boundingBox:{topLeft:_.startPoint,bottomRight:_.endPoint}}}calculateLandmarksBoundingBox(t){const e=t.map(t=>t[0]),n=t.map(t=>t[1]);return{startPoint:[Math.min(...e),Math.min(...n)],endPoint:[Math.max(...e),Math.max(...n)]}}updateRegionsOfInterest(t,e){if(e)this.regionsOfInterest=[t];else{const e=this.regionsOfInterest[0];let n=0;if(null!=e&&null!=e.startPoint){const[r,i]=t.startPoint,[a,o]=t.endPoint,[s,u]=e.startPoint,[c,l]=e.endPoint,f=Math.max(r,s),d=Math.max(i,u),h=(Math.min(a,c)-f)*(Math.min(o,l)-d);n=h/((a-r)*(o-i)+(c-s)*(l-i)-h)}this.regionsOfInterest[0]=n>b?e:t}}shouldUpdateRegionsOfInterest(){return this.regionsOfInterest.length!==this.maxHandsNumber||this.runsWithoutHandDetector>=this.maxContinuousChecks}}const A=256,N=256;async function T({maxContinuousChecks:t=1/0,detectionConfidence:e=.8,iouThreshold:n=.3,scoreThreshold:a=.5}={}){const[o,s,u]=await Promise.all([async function(){return r.util.fetch("https://tfhub.dev/mediapipe/tfjs-model/handskeleton/1/default/1/anchors.json?tfjs-format=file").then(t=>t.json())}(),async function(){return Object(i.c)("https://tfhub.dev/mediapipe/tfjs-model/handdetector/1/default/1",{fromTFHub:!0})}(),async function(){return Object(i.c)("https://tfhub.dev/mediapipe/tfjs-model/handskeleton/1/default/1",{fromTFHub:!0})}()]),c=new l(s,A,N,o,n,a),f=new C(c,u,A,N,t,e);return new I(f)}class I{constructor(t){this.pipeline=t}static getAnnotations(){return f}async estimateHands(t,e=!1){const[,n]=function(t){return t instanceof r.Tensor?[t.shape[0],t.shape[1]]:[t.height,t.width]}(t),i=Object(r.tidy)(()=>(t instanceof r.Tensor||(t=r.browser.fromPixels(t)),t.toFloat().expandDims(0))),a=await this.pipeline.estimateHand(i);if(i.dispose(),null===a)return[];let o=a;!0===e&&(o=function(t,e){const{handInViewConfidence:n,landmarks:r,boundingBox:i}=t;return{handInViewConfidence:n,landmarks:r.map(t=>[e-1-t[0],t[1],t[2]]),boundingBox:{topLeft:[e-1-i.topLeft[0],i.topLeft[1]],bottomRight:[e-1-i.bottomRight[0],i.bottomRight[1]]}}}(a,n));const s={};for(const t of Object.keys(f))s[t]=f[t].map(t=>o.landmarks[t]);return[{handInViewConfidence:o.handInViewConfidence,boundingBox:o.boundingBox,landmarks:o.landmarks,annotations:s}]}}},function(t,e,n){"use strict";Object.defineProperty(e,"__esModule",{value:!0});var r=v(n(14)),i=v(n(9)),a=v(n(24)),o=v(n(8)),s=v(n(98)),u=v(n(7)),c=v(n(10)),l=v(n(97)),f=v(n(96)),d=g(n(4)),h=g(n(293)),p=n(141),m=v(n(15));function g(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e.default=t,e}function v(t){return t&&t.__esModule?t:{default:t}}var y=function(t){function e(t,n,r){(0,u.default)(this,e);var i=(0,l.default)(this,(e.__proto__||(0,s.default)(e)).call(this));return i.video=t,i.model=null,i.modelReady=!1,i.config=n,i.ready=(0,m.default)(i.loadModel(),r),i}return(0,f.default)(e,t),(0,c.default)(e,[{key:"loadModel",value:function(){var t=(0,o.default)(i.default.mark(function t(){var e=this;return i.default.wrap(function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,h.load(this.config);case 2:if(this.model=t.sent,this.modelReady=!0,!this.video||0!==this.video.readyState){t.next=7;break}return t.next=7,new a.default(function(t){e.video.onloadeddata=function(){t()}});case 7:return this.predict(),t.abrupt("return",this);case 9:case"end":return t.stop()}},t,this)}));return function(){return t.apply(this,arguments)}}()},{key:"predict",value:function(){var t=(0,o.default)(i.default.mark(function t(e,n){var r,a,o,s,u=this;return i.default.wrap(function(t){for(;;)switch(t.prev=t.next){case 0:if(r=this.getInput(e)){t.next=3;break}return t.abrupt("return",[]);case 3:return a=this.config.flipHorizontal,t.next=6,this.model.estimateHands(r,a);case 6:if(o=t.sent,s=o,this.emit("predict",s),!this.video){t.next=11;break}return t.abrupt("return",d.nextFrame().then(function(){return u.predict()}));case 11:return"function"==typeof n&&n(s),t.abrupt("return",s);case 13:case"end":return t.stop()}},t,this)}));return function(e,n){return t.apply(this,arguments)}}()},{key:"getInput",value:function(t){return t instanceof HTMLImageElement||t instanceof HTMLVideoElement||t instanceof HTMLCanvasElement||t instanceof ImageData?t:"object"===(void 0===t?"undefined":(0,r.default)(t))&&(t.elt instanceof HTMLImageElement||t.elt instanceof HTMLVideoElement||t.elt instanceof ImageData)?t.elt:"object"===(void 0===t?"undefined":(0,r.default)(t))&&t.canvas instanceof HTMLCanvasElement?t.canvas:this.video}}]),e}(p.EventEmitter);e.default=function(t,e,n){var i=void 0,a={},o=n;t instanceof HTMLVideoElement?i=t:"object"===(void 0===t?"undefined":(0,r.default)(t))&&t.elt instanceof HTMLVideoElement?i=t.elt:"object"===(void 0===t?"undefined":(0,r.default)(t))?a=t:"function"==typeof t&&(o=t),"object"===(void 0===e?"undefined":(0,r.default)(e))?a=e:"function"==typeof e&&(o=e);var s=new y(i,a,o);return o?s:s.ready}},function(t,e,n){"use strict";n.r(e),n.d(e,"load",function(){return S}),n.d(e,"FaceMesh",function(){return A});var r=n(0),i=n(20);
  /**
   * @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.
   * =============================================================================
   */
  const a=t=>{t.startEndTensor.dispose(),t.startPoint.dispose(),t.endPoint.dispose()},o=t=>({startEndTensor:t,startPoint:Object(r.slice)(t,[0,0],[-1,2]),endPoint:Object(r.slice)(t,[0,2],[-1,2])}),s=(t,e)=>{const n=Object(r.mul)(t.startPoint,e),i=Object(r.mul)(t.endPoint,e),a=Object(r.concat2d)([n,i],1);return o(a)},u={strides:[8,16],anchors:[2,6]},c=6;function l(t,e){let n,i,a;if(t.topLeft instanceof r.Tensor&&t.bottomRight instanceof r.Tensor){const[o,s]=Object(r.tidy)(()=>[Object(r.concat)([Object(r.sub)(e-1,t.topLeft.slice(0,1)),t.topLeft.slice(1,1)]),Object(r.concat)([Object(r.sub)(e-1,t.bottomRight.slice(0,1)),t.bottomRight.slice(1,1)])]);n=o,i=s,null!=t.landmarks&&(a=Object(r.tidy)(()=>{const n=Object(r.sub)(Object(r.tensor1d)([e-1,0]),t.landmarks),i=Object(r.tensor1d)([1,-1]);return Object(r.mul)(n,i)}))}else{const[r,o]=t.topLeft,[s,u]=t.bottomRight;n=[e-1-r,o],i=[e-1-s,u],null!=t.landmarks&&(a=t.landmarks.map(t=>[e-1-t[0],t[1]]))}const o={topLeft:n,bottomRight:i};return null!=a&&(o.landmarks=a),null!=t.probability&&(o.probability=t.probability instanceof r.Tensor?t.probability.clone():t.probability),o}function f(t,e){return Object(r.tidy)(()=>{let n;return n=t.hasOwnProperty("box")?t.box:t,s(n,e).startEndTensor.squeeze()})}class d{constructor(t,e,n,i,a,o){this.blazeFaceModel=t,this.width=e,this.height=n,this.maxFaces=i,this.anchorsData=function(t,e,n){const r=[];for(let i=0;i<n.strides.length;i++){const a=n.strides[i],o=Math.floor((e+a-1)/a),s=Math.floor((t+a-1)/a),u=n.anchors[i];for(let t=0;t<o;t++){const e=a*(t+.5);for(let t=0;t<s;t++){const n=a*(t+.5);for(let t=0;t<u;t++)r.push([n,e])}}}return r}(e,n,u),this.anchors=Object(r.tensor2d)(this.anchorsData),this.inputSizeData=[e,n],this.inputSize=Object(r.tensor1d)([e,n]),this.iouThreshold=a,this.scoreThreshold=o}async getBoundingBoxes(t,e,n=!0){const[i,a,s]=Object(r.tidy)(()=>{const e=t.resizeBilinear([this.width,this.height]),n=Object(r.mul)(Object(r.sub)(e.div(255),.5),2),i=this.blazeFaceModel.predict(n).squeeze(),a=function(t,e,n){const i=Object(r.slice)(t,[0,1],[-1,2]),a=Object(r.add)(i,e),o=Object(r.slice)(t,[0,3],[-1,2]),s=Object(r.div)(o,n),u=Object(r.div)(a,n),c=Object(r.div)(s,2),l=Object(r.sub)(u,c),f=Object(r.add)(u,c),d=Object(r.mul)(l,n),h=Object(r.mul)(f,n);return Object(r.concat2d)([d,h],1)}(i,this.anchors,this.inputSize),o=Object(r.slice)(i,[0,0],[-1,1]);return[i,a,Object(r.sigmoid)(o).squeeze()]}),u=console.warn;console.warn=(()=>{});const l=r.image.nonMaxSuppression(a,s,this.maxFaces,this.iouThreshold,this.scoreThreshold);console.warn=u;const f=await l.array();l.dispose();let d=f.map(t=>Object(r.slice)(a,[t,0],[1,-1]));e||(d=await Promise.all(d.map(async t=>{const e=await t.array();return t.dispose(),e})));const h=t.shape[1],p=t.shape[2];let m;m=e?Object(r.div)([p,h],this.inputSize):[p/this.inputSizeData[0],h/this.inputSizeData[1]];const g=[];for(let t=0;t<d.length;t++){const a=d[t],u=Object(r.tidy)(()=>{const u=o(a instanceof r.Tensor?a:Object(r.tensor2d)(a));if(!n)return u;const l=f[t];let d;return d=e?this.anchors.slice([l,0],[1,2]):this.anchorsData[l],{box:u,landmarks:Object(r.slice)(i,[l,c-1],[1,-1]).squeeze().reshape([c,-1]),probability:Object(r.slice)(s,[l],[1]),anchor:d}});g.push(u)}return a.dispose(),s.dispose(),i.dispose(),{boxes:g,scaleFactor:m}}async estimateFaces(t,e=!1,n=!1,i=!0){const[,o]=function(t){return t instanceof r.Tensor?[t.shape[0],t.shape[1]]:[t.height,t.width]}(t),s=Object(r.tidy)(()=>(t instanceof r.Tensor||(t=r.browser.fromPixels(t)),t.toFloat().expandDims(0))),{boxes:u,scaleFactor:c}=await this.getBoundingBoxes(s,e,i);return s.dispose(),e?u.map(t=>{const e=f(t,c);let r={topLeft:e.slice([0],[2]),bottomRight:e.slice([2],[2])};if(i){const{landmarks:e,probability:n,anchor:i}=t,a=e.add(i).mul(c);r.landmarks=a,r.probability=n}return n&&(r=l(r,o)),r}):Promise.all(u.map(async t=>{const e=f(t,c);let r;if(i){const[n,i,o]=await Promise.all([t.landmarks,e,t.probability].map(async t=>t.array())),s=t.anchor,[u,l]=c,f=n.map(t=>[(t[0]+s[0])*u,(t[1]+s[1])*l]);r={topLeft:i.slice(0,2),bottomRight:i.slice(2),landmarks:f,probability:o},a(t.box),t.landmarks.dispose(),t.probability.dispose()}else{const t=await e.array();r={topLeft:t.slice(0,2),bottomRight:t.slice(2)}}return e.dispose(),n&&(r=l(r,o)),r}))}}const h="https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1";const p={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};function m(t){null!=t&&null!=t.startPoint&&(t.startEndTensor.dispose(),t.startPoint.dispose(),t.endPoint.dispose())}function g(t,e,n){return{startEndTensor:t,startPoint:null!=e?e:Object(r.slice)(t,[0,0],[-1,2]),endPoint:null!=n?n:Object(r.slice)(t,[0,2],[-1,2])}}function v(t){return Object(r.tidy)(()=>{const e=Object(r.sub)(t.endPoint,t.startPoint);return Object(r.abs)(e)})}function y(t,e=1.5){return Object(r.tidy)(()=>{const n=function(t){return Object(r.tidy)(()=>{const e=Object(r.div)(Object(r.sub)(t.endPoint,t.startPoint),2);return Object(r.add)(t.startPoint,e)})}(t),i=v(t),a=Object(r.mul)(Object(r.div)(i,2),e),o=Object(r.sub)(n,a),s=Object(r.add)(n,a);return g(Object(r.concat2d)([o,s],1),o,s)})}const b=468,x=.25;class w{constructor(t,e,n,r,i,a){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=t,this.meshDetector=e,this.meshWidth=n,this.meshHeight=r,this.maxContinuousChecks=i,this.maxFaces=a}async predict(t){if(this.shouldUpdateRegionsOfInterest()){const e=!0,n=!1,{boxes:i,scaleFactor:a}=await this.boundingBoxDetector.getBoundingBoxes(t,e,n);if(0===i.length)return a.dispose(),this.clearAllRegionsOfInterest(),null;const o=i.map(t=>y(function(t,e){const n=Object(r.mul)(t.startPoint,e),i=Object(r.mul)(t.endPoint,e);return g(Object(r.concat2d)([n,i],1))}(t,a)));i.forEach(m),this.updateRegionsOfInterest(o),this.runsWithoutFaceDetector=0}else this.runsWithoutFaceDetector++;return Object(r.tidy)(()=>this.regionsOfInterest.map((e,n)=>{const i=function(t,e,n){const i=e.shape[1],a=e.shape[2],o=t.startEndTensor;return Object(r.tidy)(()=>{const t=Object(r.concat2d)([o.slice([0,1],[-1,1]),o.slice([0,0],[-1,1]),o.slice([0,3],[-1,1]),o.slice([0,2],[-1,1])],0),s=Object(r.div)(t.transpose(),[i,a,i,a]);return r.image.cropAndResize(e,s,[0],n)})}(e,t,[this.meshHeight,this.meshWidth]).div(255),[,a,o]=this.meshDetector.predict(i),s=Object(r.reshape)(o,[-1,3]),u=Object(r.div)(v(e),[this.meshWidth,this.meshHeight]),c=Object(r.mul)(s,u.concat(Object(r.tensor2d)([1],[1,1]),1)).add(e.startPoint.concat(Object(r.tensor2d)([0],[1,1]),1)),l=this.calculateLandmarksBoundingBox(c);return m(this.regionsOfInterest[n]),this.regionsOfInterest[n]=l,{coords:s,scaledCoords:c,box:l,flag:a.squeeze()}}))}updateRegionsOfInterest(t){for(let e=0;e<t.length;e++){const n=t[e],r=this.regionsOfInterest[e];let i=0;if(r&&r.startPoint){const[t,e,a,o]=n.startEndTensor.arraySync()[0],[s,u,c,l]=r.startEndTensor.arraySync()[0],f=Math.max(t,s),d=Math.max(e,u),h=(Math.min(a,c)-f)*(Math.min(o,l)-d);i=h/((a-t)*(o-e)+(c-s)*(l-e)-h)}i>x?m(n):(this.regionsOfInterest[e]=n,m(r))}for(let e=t.length;e<this.regionsOfInterest.length;e++)m(this.regionsOfInterest[e]);this.regionsOfInterest=this.regionsOfInterest.slice(0,t.length)}clearRegionOfInterest(t){null!=this.regionsOfInterest[t]&&(m(this.regionsOfInterest[t]),this.regionsOfInterest=[...this.regionsOfInterest.slice(0,t),...this.regionsOfInterest.slice(t+1)])}clearAllRegionsOfInterest(){for(let t=0;t<this.regionsOfInterest.length;t++)m(this.regionsOfInterest[t]);this.regionsOfInterest=[]}shouldUpdateRegionsOfInterest(){const t=this.regionsOfInterest.length,e=0===t;return 1===this.maxFaces||e?e:t!==this.maxFaces&&this.runsWithoutFaceDetector>=this.maxContinuousChecks}calculateLandmarksBoundingBox(t){const e=t.slice([0,0],[b,1]),n=t.slice([0,1],[b,1]);return y(g(Object(r.stack)([e.min(),n.min(),e.max(),n.max()]).expandDims(0)))}}const 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  /**
   * @license
   * Copyright 2019 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   * =============================================================================
   */
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r=n[e],i=r.min,a=r.max;return x.default.normalizeValue(t,i,a)}},{key:"searchAndFormat",value:function(t){var e=this,n=void 0;if(Array.isArray(t))n=t.map(function(t){return e.formatInputItem(t)});else if("object"===(void 0===t?"undefined":(0,f.default)(t))){var r=(0,s.default)({},t);(0,l.default)(t).forEach(function(n){var i=t[n];r[n]=e.formatInputItem(i)}),n=r}return n}},{key:"formatInputItem",value:function(t){var e=void 0;return(0,w.isInstanceOfSupportedElement)(t)?e=t:"object"===(void 0===t?"undefined":(0,f.default)(t))&&(0,w.isInstanceOfSupportedElement)(t.elt)?e=t.elt:"object"===(void 0===t?"undefined":(0,f.default)(t))&&(0,w.isInstanceOfSupportedElement)(t.canvas)&&(e=t.canvas),e?(0,w.imgToPixelArray)(e):t}},{key:"convertTrainingDataToTensors",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null,e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=null===t?this.data.training:t,r=null===e?this.neuralNetworkData.meta:e;return 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  /**
   * @license
   * Copyright 2019 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 a(t,e,n,r){return new(n||(n=Promise))(function(i,a){function o(t){try{u(r.next(t))}catch(t){a(t)}}function s(t){try{u(r.throw(t))}catch(t){a(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function o(t,e){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=e.call(t,o)}catch(t){a=[6,t],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var s=[["conv2d",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1]],u=[8,16,32];function c(t){r.util.assert("number"==typeof t,function(){return"outputStride is not a number"}),r.util.assert(u.indexOf(t)>=0,function(){return"outputStride of "+t+" is invalid. 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e=JSON.parse((0,i.default)(t));return e.keypoints.forEach(function(t){e[t.part]={x:t.position.x,y:t.position.y,confidence:t.score}}),e}},{key:"getInput",value:function(t){return t instanceof HTMLImageElement||t instanceof HTMLVideoElement||t instanceof HTMLCanvasElement||t instanceof ImageData?t:"object"===(void 0===t?"undefined":(0,r.default)(t))&&(t.elt instanceof HTMLImageElement||t.elt instanceof HTMLVideoElement||t.elt instanceof ImageData)?t.elt:"object"===(void 0===t?"undefined":(0,r.default)(t))&&t.canvas instanceof HTMLCanvasElement?t.canvas:this.video}},{key:"singlePose",value:function(){var t=(0,s.default)(a.default.mark(function t(e,n){var r,i,o,s,u=this;return a.default.wrap(function(t){for(;;)switch(t.prev=t.next){case 0:return r=this.getInput(e),t.next=3,this.net.estimateSinglePose(r,{flipHorizontal:this.flipHorizontal});case 3:if(i=t.sent,o=this.mapParts(i),s=[{pose:o,skeleton:this.skeleton(i.keypoints)}],this.emit("pose",s),!this.video){t.next=9;break}return t.abrupt("return",p.nextFrame().then(function(){return u.singlePose()}));case 9:return"function"==typeof n&&n(s),t.abrupt("return",s);case 11:case"end":return t.stop()}},t,this)}));return function(e,n){return t.apply(this,arguments)}}()},{key:"multiPose",value:function(){var t=(0,s.default)(a.default.mark(function t(e,n){var r,i,o,s,u=this;return a.default.wrap(function(t){for(;;)switch(t.prev=t.next){case 0:return r=this.getInput(e),t.next=3,this.net.estimateMultiplePoses(r,{flipHorizontal:this.flipHorizontal,maxDetections:this.maxPoseDetections,scoreThreshold:this.scoreThreshold,nmsRadius:this.nmsRadius});case 3:if(i=t.sent,o=i.map(function(t){return u.mapParts(t)}),s=o.map(function(t){return{pose:t,skeleton:u.skeleton(t.keypoints)}}),this.emit("pose",s),!this.video){t.next=9;break}return t.abrupt("return",p.nextFrame().then(function(){return u.multiPose()}));case 9:return"function"==typeof n&&n(s),t.abrupt("return",s);case 11:case"end":return t.stop()}},t,this)}));return 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  /**
   * @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.
   * =============================================================================
   */
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  /**
   * @license
   * Copyright 2019 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.
   * =============================================================================
   */var a=function(){return(a=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t}).apply(this,arguments)};function o(t,e,n,r){return new(n||(n=Promise))(function(i,a){function o(t){try{u(r.next(t))}catch(t){a(t)}}function s(t){try{u(r.throw(t))}catch(t){a(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function s(t,e){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=e.call(t,o)}catch(t){a=[6,t],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}function u(t){var e="function"==typeof Symbol&&t[Symbol.iterator],n=0;return e?e.call(t):{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}}}function c(t,e){var n="function"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,i,a=n.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)o.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(i)throw i.error}}return o}function l(){for(var t=[],e=0;e<arguments.length;e++)t=t.concat(c(arguments[e]));return t}var f=null;function d(t){return null==f&&(f=Object(r.backend)().epsilon()),Object(r.tidy)(function(){var e=Object(r.moments)(t),n=e.mean,i=e.variance;return t.sub(n).div(i.sqrt().add(f))})}var h=function(){function t(t){var e=this;if(null==t)throw new Error("Required configuration object is missing for BrowserFftFeatureExtractor constructor");if(null==t.spectrogramCallback)throw new Error("spectrogramCallback cannot be null or undefined");if(!(t.numFramesPerSpectrogram>0))throw new Error("Invalid value in numFramesPerSpectrogram: "+t.numFramesPerSpectrogram);if(t.suppressionTimeMillis<0)throw new Error("Expected suppressionTimeMillis to be >= 0, but got "+t.suppressionTimeMillis);if(this.suppressionTimeMillis=t.suppressionTimeMillis,this.spectrogramCallback=t.spectrogramCallback,this.numFrames=t.numFramesPerSpectrogram,this.sampleRateHz=t.sampleRateHz||44100,this.fftSize=t.fftSize||1024,this.frameDurationMillis=this.fftSize/this.sampleRateHz*1e3,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.overlapFactor=t.overlapFactor,this.includeRawAudio=t.includeRawAudio,r.util.assert(this.overlapFactor>=0&&this.overlapFactor<1,function(){return"Expected overlapFactor to be >= 0 and < 1, but got "+e.overlapFactor}),this.columnTruncateLength>this.fftSize)throw new Error("columnTruncateLength "+this.columnTruncateLength+" exceeds fftSize ("+this.fftSize+").");this.audioContextConstructor=window.AudioContext||window.webkitAudioContext}return t.prototype.start=function(t){return o(this,void 0,void 0,function(){var e,n,r;return s(this,function(i){switch(i.label){case 0:if(null!=this.frameIntervalTask)throw new Error("Cannot start already-started BrowserFftFeatureExtractor");return e=this,[4,function(t){return o(this,void 0,void 0,function(){return s(this,function(e){switch(e.label){case 0:return[4,navigator.mediaDevices.getUserMedia({audio:null==t||t,video:!1})];case 1:return[2,e.sent()]}})})}(t)];case 1:return e.stream=i.sent(),this.audioContext=new this.audioContextConstructor,this.audioContext.sampleRate!==this.sampleRateHz&&console.warn("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate),n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=0,n.connect(this.analyser),this.freqDataQueue=[],this.freqData=new Float32Array(this.fftSize),this.includeRawAudio&&(this.timeDataQueue=[],this.timeData=new Float32Array(this.fftSize)),r=Math.max(1,Math.round(this.numFrames*(1-this.overlapFactor))),this.tracker=new g(r,Math.round(this.suppressionTimeMillis/this.frameDurationMillis)),this.frameIntervalTask=setInterval(this.onAudioFrame.bind(this),this.fftSize/this.sampleRateHz*1e3),[2]}})})},t.prototype.onAudioFrame=function(){return o(this,void 0,void 0,function(){var t,e,n,i;return s(this,function(a){switch(a.label){case 0:return this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0?[2]:(this.freqDataQueue.push(this.freqData.slice(0,this.columnTruncateLength)),this.includeRawAudio&&(this.analyser.getFloatTimeDomainData(this.timeData),this.timeDataQueue.push(this.timeData.slice())),this.freqDataQueue.length>this.numFrames&&this.freqDataQueue.shift(),this.tracker.tick()?(t=p(this.freqDataQueue),e=m(t,[1,this.numFrames,this.columnTruncateLength,1]),n=void 0,this.includeRawAudio&&(i=p(this.timeDataQueue),n=m(i,[1,this.numFrames*this.fftSize])),[4,this.spectrogramCallback(e,n)]):[3,2]);case 1:a.sent()&&this.tracker.suppress(),Object(r.dispose)([e,n]),a.label=2;case 2:return[2]}})})},t.prototype.stop=function(){return o(this,void 0,void 0,function(){return s(this,function(t){if(null==this.frameIntervalTask)throw new Error("Cannot stop because there is no ongoing streaming activity.");return clearInterval(this.frameIntervalTask),this.frameIntervalTask=null,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop(),[2]})})},t.prototype.setConfig=function(t){throw new Error("setConfig() is not implemented for BrowserFftFeatureExtractor.")},t.prototype.getFeatures=function(){throw new Error("getFeatures() is not implemented for BrowserFftFeatureExtractor. Use the spectrogramCallback field of the constructor config instead.")},t}();function p(t){var e=t[0].length,n=new Float32Array(t.length*e);return t.forEach(function(t,r){return n.set(t,r*e)}),n}function m(t,e){var n=new Float32Array(r.util.sizeFromShape(e));return n.set(t,n.length-t.length),Object(r.tensor)(n,e)}var g=function(){function t(t,e){var n=this;this.period=t,this.suppressionTime=null==e?0:e,this.counter=0,r.util.assert(this.period>0,function(){return"Expected period to be positive, but got "+n.period})}return t.prototype.tick=function(){return this.counter++,this.counter%this.period==0&&(null==this.suppressionOnset||this.counter-this.suppressionOnset>this.suppressionTime)},t.prototype.suppress=function(){this.suppressionOnset=this.counter},t}();function v(t){var e=0;t.forEach(function(t){e+=t.byteLength});var n=new Uint8Array(e),r=0;return t.forEach(function(t){n.set(new Uint8Array(t),r),r+=t.byteLength}),n.buffer}function y(t){var e=0;t.forEach(function(t){return e+=t.length});var n=new Float32Array(e),r=0;return t.forEach(function(t){n.set(t,r),r+=t.length}),n}function b(t){if(null==t)throw new Error("Received null or undefind string");for(var e=unescape(encodeURIComponent(t)),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e.charCodeAt(r);return n.buffer}function x(t){if(null==t)throw new Error("Received null or undefind buffer");var e=new Uint8Array(t);return decodeURIComponent(escape(String.fromCharCode.apply(String,l(e))))}var w="TFJSSCDS",k=1,_="_background_noise_",E=function(){function t(t){if(this.examples={},this.label2Ids={},null!=t)for(var e=function(t){r.util.assert(null!=t,function(){return"Received null or undefined buffer"});var e=0,n=x(t.slice(e,w.length));r.util.assert(n===w,function(){return"Deserialization error: Invalid descriptor"}),e+=w.length,e+=4;var i=new Uint32Array(t,e,1),a=e+=4;e=a+i[0];var o=x(t.slice(a,e));return{manifest:JSON.parse(o),data:t.slice(e)}}(t),n=0,i=0;i<e.manifest.length;++i){var a=e.manifest[i],o=a.spectrogramNumFrames*a.spectrogramFrameSize;null!=a.rawAudioNumSamples&&(o+=a.rawAudioNumSamples),o*=4,this.addExample(S({spec:a,data:e.data.slice(n,n+o)})),n+=o}}return t.prototype.addExample=function(t){r.util.assert(null!=t,function(){return"Got null or undefined example"}),r.util.assert(null!=t.label&&t.label.length>0,function(){return"Expected label to be a non-empty string, but got "+JSON.stringify(t.label)});var e=function(){function t(){return Math.floor(65536*(1+Math.random())).toString(16).substring(1)}return t()+t()+"-"+t()+"-"+t()+"-"+t()+"-"+t()+t()+t()}();return this.examples[e]=t,t.label in this.label2Ids||(this.label2Ids[t.label]=[]),this.label2Ids[t.label].push(e),e},t.prototype.merge=function(t){var e,n,i,a;r.util.assert(t!==this,function(){return"Cannot merge a dataset into itself"});var o=t.getVocabulary();try{for(var s=u(o),c=s.next();!c.done;c=s.next()){var l=c.value,f=t.getExamples(l);try{for(var d=u(f),h=d.next();!h.done;h=d.next()){var p=h.value;this.addExample(p.example)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(a=d.return)&&a.call(d)}finally{if(i)throw i.error}}}}catch(t){e={error:t}}finally{try{c&&!c.done&&(n=s.return)&&n.call(s)}finally{if(e)throw e.error}}},t.prototype.getExampleCounts=function(){var t={};for(var e in this.examples){var n=this.examples[e];n.label in t||(t[n.label]=0),t[n.label]++}return t},t.prototype.getExamples=function(t){var e=this;r.util.assert(null!=t,function(){return"Expected label to be a string, but got "+JSON.stringify(t)}),r.util.assert(t in this.label2Ids,function(){return'No example of label "'+t+'" exists in dataset'});var n=[];return this.label2Ids[t].forEach(function(t){n.push({uid:t,example:e.examples[t]})}),n},t.prototype.getData=function(t,e){var n=this;r.util.assert(this.size()>0,function(){return"Cannot get spectrograms as tensors because the dataset is empty"});var i=this.getVocabulary();null!=t?r.util.assert(-1!==i.indexOf(t),function(){return"Label "+t+" is not in the vocabulary ("+JSON.stringify(i)+")"}):r.util.assert(i.length>1,function(){return"One-hot encoding of labels requires the vocabulary to have at least two words, but it has only "+i.length+" word."}),null==e&&(e={});var a,o,s=this.getSortedUniqueNumFrames();1===s.length?(a=null==e.numFrames?s[0]:e.numFrames,o=null==e.hopFrames?1:e.hopFrames):(a=e.numFrames,r.util.assert(null!=a&&Number.isInteger(a)&&a>0,function(){return"There are "+s.length+" unique lengths among the "+n.size()+" examples of this Dataset, hence numFrames is required. But it is not provided."}),r.util.assert(a<=s[0],function(){return"numFrames ("+a+") exceeds the minimum numFrames ("+s[0]+") among the examples of the Dataset."}),o=e.hopFrames,r.util.assert(null!=o&&Number.isInteger(o)&&o>0,function(){return"There are "+s.length+" unique lengths among the "+n.size()+" examples of this Dataset, hence hopFrames is required. But it is not provided."}));var c=null==e.normalize||e.normalize;return Object(r.tidy)(function(){for(var s,l,f,h=[],p=[],m=[],g=0;g<i.length;++g){var v=i[g];if(null==t||v===t){var y=n.label2Ids[v],b=function(i){var s,l,y=n.examples[i].spectrogram,b=y.frameSize;null==f?f=b:r.util.assert(b===f,function(){return"Mismatch in frameSize  ("+b+" vs "+f+")"});var x=y.data.length/b,w=null;v!==_&&(w=null==y.keyFrameIndex?N(y).dataSync()[0]:y.keyFrameIndex);var k=Object(r.tensor3d)(y.data,[x,b,1]),E=C(x,w,a,o),O=function(n){var i=Object(r.tidy)(function(){var t=k.slice([n[0],0,0],[n[1]-n[0],-1,-1]);return c?d(t):t});e.getDataset?p.push(i.dataSync()):h.push(i),null==t&&m.push(g)};try{for(var S=u(E),A=S.next();!A.done;A=S.next())O(A.value)}catch(t){s={error:t}}finally{try{A&&!A.done&&(l=S.return)&&l.call(S)}finally{if(s)throw s.error}}Object(r.dispose)(k)};try{for(var x=u(y),w=x.next();!w.done;w=x.next())b(w.value)}catch(t){s={error:t}}finally{try{w&&!w.done&&(l=x.return)&&l.call(x)}finally{if(s)throw s.error}}}}null!=e.augmentByMixingNoiseRatio&&n.augmentByMixingNoise(e.getDataset?p:h,m,e.augmentByMixingNoiseRatio);var k=null==e.shuffle||e.shuffle;if(e.getDataset){var E=null==e.datasetBatchSize?32:e.datasetBatchSize,O=null==e.datasetValidationSplit?.15:e.datasetValidationSplit;r.util.assert(O>0&&O<1,function(){return"Invalid dataset validation split: "+O});var S=p.map(function(t,e){return[t,m[e]]});r.util.shuffle(S),p=S.map(function(t){return t[0]});var A=S.map(function(t){return t[1]}),T=function(t,e,n){var i,a,o,s,c,l,f,d;r.util.assert(n>0&&n<1,function(){return"validationSplit is expected to be >0 and <1, but got "+n});for(var h=!Array.isArray(t[0]),p=e,m=[],g=0;g<p.length;++g){var v=p[g];null==m[v]&&(m[v]=[]),m[v].push(g)}var y=m.length,b=[],x=[];for(m.map(function(t){return r.util.shuffle(t)}),g=0;g<y;++g)for(var w=m[g],k=Math.round(w.length*(1-n)),_=0;_<w.length;++_)_<k?b.push(w[_]):x.push(w[_]);if(h){var E=[],O=[],S=[],C=[];try{for(var A=u(b),N=A.next();!N.done;N=A.next()){var T=N.value;E.push(t[T]),O.push(e[T])}}catch(t){i={error:t}}finally{try{N&&!N.done&&(a=A.return)&&a.call(A)}finally{if(i)throw i.error}}try{for(var I=u(x),D=I.next();!D.done;D=I.next())T=D.value,S.push(t[T]),C.push(e[T])}catch(t){o={error:t}}finally{try{D&&!D.done&&(s=I.return)&&s.call(I)}finally{if(o)throw o.error}}return{trainXs:E,trainYs:O,valXs:S,valYs:C}}E=[],O=[],S=[],C=[];try{for(var M=u(b),R=M.next();!R.done;R=M.next())T=R.value,E.push(t[T]),O.push(e[T])}catch(t){c={error:t}}finally{try{R&&!R.done&&(l=M.return)&&l.call(M)}finally{if(c)throw c.error}}try{for(var F=u(x),j=F.next();!j.done;j=F.next())T=j.value,S.push(t[T]),C.push(e[T])}catch(t){f={error:t}}finally{try{j&&!j.done&&(d=F.return)&&d.call(F)}finally{if(f)throw f.error}}return{trainXs:E,trainYs:O,valXs:S,valYs:C}}(p,A,O),I=T.trainXs,D=T.trainYs,M=T.valXs,R=T.valYs,F=r.data.array(I).map(function(t){return Object(r.tensor3d)(t,[a,f,1])}),j=r.data.array(D).map(function(t){return Object(r.oneHot)([t],i.length).squeeze([0])}),P=r.data.zip({xs:F,ys:j});k&&(P=P.shuffle(p.length)),P=P.batch(E).prefetch(4);var L=r.data.array(M).map(function(t){return Object(r.tensor3d)(t,[a,f,1])}),z=r.data.array(R).map(function(t){return Object(r.oneHot)([t],i.length).squeeze([0])}),B=r.data.zip({xs:L,ys:z});return[P,B=B.batch(E).prefetch(4)]}if(k){var U=[];h.forEach(function(t,e){U.push({x:t,y:m[e]})}),r.util.shuffle(U),h=U.map(function(t){return t.x}),m=U.map(function(t){return t.y})}var W=null==t?Object(r.oneHot)(Object(r.tensor1d)(m,"int32"),i.length).asType("float32"):void 0;return{xs:Object(r.stack)(h),ys:W}})},t.prototype.augmentByMixingNoise=function(t,e,n){var i,a;if(null==t||0===t.length)throw new Error("Cannot perform augmentation because data is null or empty");for(var o=t[0]instanceof Float32Array,s=this.getVocabulary(),c=[],f=[],h=0;h<e.length;++h)s[e[h]]===_?c.push(h):f.push(h);if(0===c.length)throw new Error("Cannot perform augmentation by mixing with noise when there is no example with label "+_);var p=[],m=[],g=function(i){var a=c[function(t,e){return Math.floor((e-t)*Math.random())+t}(0,c.length)],s=o?Object(r.tensor1d)(t[i]):t[i],u=o?Object(r.tensor1d)(t[a]):t[a],l=Object(r.tidy)(function(){return d(s.add(u.mul(n)))});o?p.push(l.dataSync()):p.push(l),m.push(e[i])};try{for(var v=u(f),y=v.next();!y.done;y=v.next())g(y.value)}catch(t){i={error:t}}finally{try{y&&!y.done&&(a=v.return)&&a.call(v)}finally{if(i)throw i.error}}console.log("Data augmentation: mixing noise: added "+p.length+" examples"),p.forEach(function(e){return t.push(e)}),e.push.apply(e,l(m))},t.prototype.getSortedUniqueNumFrames=function(){for(var t,e,n=new Set,r=this.getVocabulary(),i=0;i<r.length;++i){var a=r[i],o=this.label2Ids[a];try{for(var s=u(o),c=s.next();!c.done;c=s.next()){var f=c.value,d=this.examples[f].spectrogram,h=d.data.length/d.frameSize;n.add(h)}}catch(e){t={error:e}}finally{try{c&&!c.done&&(e=s.return)&&e.call(s)}finally{if(t)throw t.error}}}var p=l(n);return p.sort(),p},t.prototype.removeExample=function(t){if(!(t in this.examples))throw new Error("Nonexistent example UID: "+t);var e=this.examples[t].label;delete this.examples[t];var n=this.label2Ids[e].indexOf(t);this.label2Ids[e].splice(n,1),0===this.label2Ids[e].length&&delete this.label2Ids[e]},t.prototype.setExampleKeyFrameIndex=function(t,e){if(!(t in this.examples))throw new Error("Nonexistent example UID: "+t);var n=this.examples[t].spectrogram,i=n.data.length/n.frameSize;r.util.assert(e>=0&&e<i&&Number.isInteger(e),function(){return"Invalid keyFrameIndex: "+e+". Must be >= 0, < "+i+", and an integer."}),n.keyFrameIndex=e},t.prototype.size=function(){return Object.keys(this.examples).length},t.prototype.durationMillis=function(){var t=0;for(var e in this.examples){var n=this.examples[e].spectrogram,r=23.22|n.frameDurationMillis;t+=n.data.length/n.frameSize*r}return t},t.prototype.empty=function(){return 0===this.size()},t.prototype.clear=function(){this.examples={}},t.prototype.getVocabulary=function(){var t=new Set;for(var e in this.examples){var n=this.examples[e];t.add(n.label)}var r=l(t);return r.sort(),r},t.prototype.serialize=function(t){var e,n,i,a,o=this.getVocabulary();r.util.assert(!this.empty(),function(){return"Cannot serialize empty Dataset"}),null!=t&&(Array.isArray(t)||(t=[t]),t.forEach(function(t){if(-1===o.indexOf(t))throw new Error('Word label "'+t+'" does not exist in the vocabulary of this dataset. The vocabulary is: '+JSON.stringify(o)+".")}));var s=[],c=[];try{for(var l=u(o),f=l.next();!f.done;f=l.next()){var d=f.value;if(null==t||-1!==t.indexOf(d)){var h=this.label2Ids[d];try{for(var p=u(h),m=p.next();!m.done;m=p.next()){var g=m.value,y=O(this.examples[g]);s.push(y.spec),c.push(y.data)}}catch(t){i={error:t}}finally{try{m&&!m.done&&(a=p.return)&&a.call(p)}finally{if(i)throw i.error}}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(n=l.return)&&n.call(l)}finally{if(e)throw e.error}}return function(t){var e=b(JSON.stringify(t.manifest)),n=b(w),r=new Uint32Array([k]),i=new Uint32Array([e.byteLength]);return v([v([n,r.buffer,i.buffer]),e,t.data])}({manifest:s,data:v(c)})},t}();function O(t){var e=null!=t.rawAudio,n={label:t.label,spectrogramNumFrames:t.spectrogram.data.length/t.spectrogram.frameSize,spectrogramFrameSize:t.spectrogram.frameSize};null!=t.spectrogram.keyFrameIndex&&(n.spectrogramKeyFrameIndex=t.spectrogram.keyFrameIndex);var r=t.spectrogram.data.buffer.slice(0);return e&&(n.rawAudioNumSamples=t.rawAudio.data.length,n.rawAudioSampleRateHz=t.rawAudio.sampleRateHz,r=v([r,t.rawAudio.data.buffer])),{spec:n,data:r}}function S(t){var e={frameSize:t.spec.spectrogramFrameSize,data:new Float32Array(t.data.slice(0,4*t.spec.spectrogramFrameSize*t.spec.spectrogramNumFrames))};null!=t.spec.spectrogramKeyFrameIndex&&(e.keyFrameIndex=t.spec.spectrogramKeyFrameIndex);var n={label:t.spec.label,spectrogram:e};return null!=t.spec.rawAudioNumSamples&&(n.rawAudio={sampleRateHz:t.spec.rawAudioSampleRateHz,data:new Float32Array(t.data.slice(4*t.spec.spectrogramFrameSize*t.spec.spectrogramNumFrames))}),n}function C(t,e,n,i){if(r.util.assert(Number.isInteger(t)&&t>0,function(){return"snippetLength must be a positive integer, but got "+t}),null!=e&&r.util.assert(Number.isInteger(e)&&e>=0,function(){return"focusIndex must be a non-negative integer, but got "+e}),r.util.assert(Number.isInteger(n)&&n>0,function(){return"windowLength must be a positive integer, but got "+n}),r.util.assert(Number.isInteger(i)&&i>0,function(){return"windowHop must be a positive integer, but got "+i}),r.util.assert(n<=t,function(){return"windowLength ("+n+") exceeds snippetLength ("+t+")"}),r.util.assert(e<t,function(){return"focusIndex ("+e+") equals or exceeds snippetLength ("+t+")"}),n===t)return[[0,t]];var a=[];if(null==e){for(var o=0;o+n<=t;)a.push([o,o+n]),o+=i;return a}var s=Math.floor(n/2),u=e-s;for(u<0?u=0:u+n>t&&(u=t-n);!(u-i<0||e>=u-i+n);)u-=i;for(;u+n<=t&&!(e<u);)a.push([u,u+n]),u+=i;return a}function A(t){return Object(r.tidy)(function(){var e=t.data.length/t.frameSize;return Object(r.tensor2d)(t.data,[e,t.frameSize]).mean(-1)})}function N(t){return Object(r.tidy)(function(){return A(t).argMax()})}var T="0.3.9",I="_unknown_",D="tfjs-speech-commands-saved-model-metadata",M="indexeddb://tfjs-speech-commands-model/",R={localStorage:"undefined"==typeof window?null:window.localStorage};var F=function(){function t(e,n,i){this.MODEL_URL_PREFIX="https://storage.googleapis.com/tfjs-models/tfjs/speech-commands/v"+function(t){return t.split(".").slice(0,2).join(".")}(T)+"/browser_fft",this.SAMPLE_RATE_HZ=44100,this.FFT_SIZE=1024,this.DEFAULT_SUPPRESSION_TIME_MILLIS=0,this.streaming=!1,this.transferRecognizers={},r.util.assert(null==n&&null==i||null!=n&&null!=i,function(){return"modelURL and metadataURL must be both provided or both not provided."}),null==n?(null==e?e=t.DEFAULT_VOCABULARY_NAME:r.util.assert(-1!==t.VALID_VOCABULARY_NAMES.indexOf(e),function(){return"Invalid vocabulary name: '"+e+"'"}),this.vocabulary=e,this.modelArtifactsOrURL=this.MODEL_URL_PREFIX+"/"+this.vocabulary+"/model.json",this.metadataOrURL=this.MODEL_URL_PREFIX+"/"+this.vocabulary+"/metadata.json"):(r.util.assert(null==e,function(){return"vocabulary name must be null or undefined when modelURL is provided"}),this.modelArtifactsOrURL=n,this.metadataOrURL=i),this.parameters={sampleRateHz:this.SAMPLE_RATE_HZ,fftSize:this.FFT_SIZE}}return t.prototype.listen=function(t,e){return o(this,void 0,void 0,function(){var n,i,a,u,f,p=this;return s(this,function(m){switch(m.label){case 0:if(this.streaming)throw new Error("Cannot start streaming again when streaming is ongoing.");return[4,this.ensureModelLoaded()];case 1:if(m.sent(),null==e&&(e={}),n=null==e.probabilityThreshold?0:e.probabilityThreshold,e.includeEmbedding&&(n=0),r.util.assert(n>=0&&n<=1,function(){return"Invalid probabilityThreshold value: "+n}),i=null!=e.invokeCallbackOnNoiseAndUnknown&&e.invokeCallbackOnNoiseAndUnknown,e.includeEmbedding&&(i=!0),e.suppressionTimeMillis<0)throw new Error("suppressionTimeMillis is expected to be >= 0, but got "+e.suppressionTimeMillis);return a=null==e.overlapFactor?.5:e.overlapFactor,r.util.assert(a>=0&&a<1,function(){return"Expected overlapFactor to be >= 0 and < 1, but got "+a}),u=function(a,u){return o(p,void 0,void 0,function(){var o,u,f,h,p,m,g,v,y,b,x;return s(this,function(s){switch(s.label){case 0:return u=d(a),e.includeEmbedding?[4,this.ensureModelWithEmbeddingOutputCreated()]:[3,2];case 1:return s.sent(),o=c(this.modelWithEmbeddingOutput.predict(u),2),f=o[0],h=o[1],[3,3];case 2:f=this.model.predict(u),s.label=3;case 3:return[4,f.data()];case 4:return p=s.sent(),[4,(m=f.argMax(-1)).data()];case 5:return g=s.sent()[0],v=Math.max.apply(Math,l(p)),Object(r.dispose)([f,m,u]),v<n?[2,!1]:[3,6];case 6:return y=void 0,e.includeSpectrogram?(b={},[4,a.data()]):[3,8];case 7:b.data=s.sent(),b.frameSize=this.nonBatchInputShape[1],y=b,s.label=8;case 8:return x=!0,i||this.words[g]!==_&&this.words[g]!==I||(x=!1),x&&t({scores:p,spectrogram:y,embedding:h}),[2,x]}})})},f=null==e.suppressionTimeMillis?this.DEFAULT_SUPPRESSION_TIME_MILLIS:e.suppressionTimeMillis,this.audioDataExtractor=new h({sampleRateHz:this.parameters.sampleRateHz,numFramesPerSpectrogram:this.nonBatchInputShape[0],columnTruncateLength:this.nonBatchInputShape[1],suppressionTimeMillis:f,spectrogramCallback:u,overlapFactor:a}),[4,this.audioDataExtractor.start(e.audioTrackConstraints)];case 2:return m.sent(),this.streaming=!0,[2]}})})},t.prototype.ensureModelLoaded=function(){return o(this,void 0,void 0,function(){var t,e,n,i,a=this;return s(this,function(o){switch(o.label){case 0:return null!=this.model?[2]:[4,this.ensureMetadataLoaded()];case 1:return o.sent(),"string"!=typeof this.modelArtifactsOrURL?[3,3]:[4,Object(r.loadLayersModel)(this.modelArtifactsOrURL)];case 2:return t=o.sent(),[3,5];case 3:return[4,Object(r.loadLayersModel)(r.io.fromMemory(this.modelArtifactsOrURL.modelTopology,this.modelArtifactsOrURL.weightSpecs,this.modelArtifactsOrURL.weightData))];case 4:t=o.sent(),o.label=5;case 5:if(1!==t.inputs.length)throw new Error("Expected model to have 1 input, but got a model with "+t.inputs.length+" inputs");if(4!==t.inputs[0].shape.length)throw new Error("Expected model to have an input shape of rank 4, but got an input shape of rank "+t.inputs[0].shape.length);if(1!==t.inputs[0].shape[3])throw new Error("Expected model to have an input shape with 1 as the last dimension, but got input shape"+JSON.stringify(t.inputs[0].shape[3])+"}");if(2!==(e=t.outputShape).length)throw new Error("Expected loaded model to have an output shape of rank 2,but received shape "+JSON.stringify(e));if(e[1]!==this.words.length)throw new Error("Mismatch between the last dimension of model's output shape ("+e[1]+") and number of words ("+this.words.length+").");return this.model=t,this.freezeModel(),this.nonBatchInputShape=t.inputs[0].shape.slice(1),this.elementsPerExample=1,t.inputs[0].shape.slice(1).forEach(function(t){return a.elementsPerExample*=t}),this.warmUpModel(),n=this.parameters.fftSize/this.parameters.sampleRateHz*1e3,i=t.inputs[0].shape[1],this.parameters.spectrogramDurationMillis=i*n,[2]}})})},t.prototype.ensureModelWithEmbeddingOutputCreated=function(){return o(this,void 0,void 0,function(){var t,e;return s(this,function(n){switch(n.label){case 0:return null!=this.modelWithEmbeddingOutput?[2]:[4,this.ensureModelLoaded()];case 1:for(n.sent(),e=this.model.layers.length-2;e>=0;--e)if("Dense"===this.model.layers[e].getClassName()){t=this.model.layers[e];break}if(null==t)throw new Error("Failed to find second last dense layer in the original model.");return this.modelWithEmbeddingOutput=Object(r.model)({inputs:this.model.inputs,outputs:[this.model.outputs[0],t.output]}),[2]}})})},t.prototype.warmUpModel=function(){var t=this;Object(r.tidy)(function(){for(var e=Object(r.zeros)([1].concat(t.nonBatchInputShape)),n=0;n<3;++n)t.model.predict(e)})},t.prototype.ensureMetadataLoaded=function(){return o(this,void 0,void 0,function(){var t,e,r;return s(this,function(i){switch(i.label){case 0:return null!=this.words?[2]:"string"!=typeof this.metadataOrURL?[3,2]:[4,function(t){return o(this,void 0,void 0,function(){return s(this,function(e){return[2,new Promise(function(e,r){0===t.indexOf("http://")||0===t.indexOf("https://")?fetch(t).then(function(t){t.json().then(function(t){return e(t)})}):0===t.indexOf("file://")?n(210).readFile(t.slice("file://".length),{encoding:"utf-8"},function(t,n){return e(JSON.parse(n))}):r(new Error("Unsupported URL scheme in metadata URL: "+t+". Supported schemes are: http://, https://, and (node.js-only) file://"))})]})})}(this.metadataOrURL)];case 1:return e=i.sent(),[3,3];case 2:e=this.metadataOrURL,i.label=3;case 3:if(null==(t=e).wordLabels){if(null==(r=t.words))throw new Error('Cannot find field "words" or "wordLabels" in metadata JSON file');this.words=r}else this.words=t.wordLabels;return[2]}})})},t.prototype.stopListening=function(){return o(this,void 0,void 0,function(){return s(this,function(t){switch(t.label){case 0:if(!this.streaming)throw new Error("Cannot stop streaming when streaming is not ongoing.");return[4,this.audioDataExtractor.stop()];case 1:return t.sent(),this.streaming=!1,[2]}})})},t.prototype.isListening=function(){return this.streaming},t.prototype.wordLabels=function(){return this.words},t.prototype.params=function(){return this.parameters},t.prototype.modelInputShape=function(){if(null==this.model)throw new Error("Model has not been loaded yet. Load model by calling ensureModelLoaded(), recognize(), or listen().");return this.model.inputs[0].shape},t.prototype.recognize=function(t,e){return o(this,void 0,void 0,function(){var n,i,a,o,u,c,l,f,d,h,p,m,g;return s(this,function(s){switch(s.label){case 0:return null==e&&(e={}),[4,this.ensureModelLoaded()];case 1:return s.sent(),null!=t?[3,3]:[4,this.recognizeOnline()];case 2:n=s.sent(),t=n.data,s.label=3;case 3:if(t instanceof r.Tensor)this.checkInputTensorShape(t),a=t,i=t.shape[0];else{if((t=t).length%this.elementsPerExample)throw new Error("The length of the input Float32Array "+t.length+" is not divisible by the number of tensor elements per per example expected by the model "+this.elementsPerExample+".");i=t.length/this.elementsPerExample,a=Object(r.tensor4d)(t,[i].concat(this.nonBatchInputShape))}return u={scores:null},e.includeEmbedding?[4,this.ensureModelWithEmbeddingOutputCreated()]:[3,5];case 4:return s.sent(),c=this.modelWithEmbeddingOutput.predict(a),o=c[0],u.embedding=c[1],[3,6];case 5:o=this.model.predict(a),s.label=6;case 6:return 1!==i?[3,8]:(l=u,[4,o.data()]);case 7:return l.scores=s.sent(),[3,10];case 8:return f=Object(r.unstack)(o),d=f.map(function(t){return t.data()}),h=u,[4,Promise.all(d)];case 9:h.scores=s.sent(),Object(r.dispose)(f),s.label=10;case 10:return e.includeSpectrogram?(p=u,m={},t instanceof r.Tensor?[4,t.data()]:[3,12]):[3,14];case 11:return g=s.sent(),[3,13];case 12:g=t,s.label=13;case 13:p.spectrogram=(m.data=g,m.frameSize=this.nonBatchInputShape[1],m),s.label=14;case 14:return[2,u]}})})},t.prototype.recognizeOnline=function(){return o(this,void 0,void 0,function(){var t=this;return s(this,function(e){return[2,new Promise(function(e,n){t.audioDataExtractor=new h({sampleRateHz:t.parameters.sampleRateHz,numFramesPerSpectrogram:t.nonBatchInputShape[0],columnTruncateLength:t.nonBatchInputShape[1],suppressionTimeMillis:0,spectrogramCallback:function(n){return o(t,void 0,void 0,function(){var t,r,i;return s(this,function(a){switch(a.label){case 0:return t=d(n),[4,this.audioDataExtractor.stop()];case 1:return a.sent(),r=e,i={},[4,t.data()];case 2:return r.apply(void 0,[(i.data=a.sent(),i.frameSize=this.nonBatchInputShape[1],i)]),t.dispose(),[2,!1]}})})},overlapFactor:0}),t.audioDataExtractor.start()})]})})},t.prototype.createTransfer=function(t){if(null==this.model)throw new Error("Model has not been loaded yet. Load model by calling ensureModelLoaded(), recognizer(), or listen().");r.util.assert(null!=t&&"string"==typeof t&&t.length>1,function(){return"Expected the name for a transfer-learning recognized to be a non-empty string, but got "+JSON.stringify(t)}),r.util.assert(null==this.transferRecognizers[t],function(){return"There is already a transfer-learning model named '"+t+"'"});var e=new j(t,this.parameters,this.model);return this.transferRecognizers[t]=e,e},t.prototype.freezeModel=function(){var t,e;try{for(var n=u(this.model.layers),r=n.next();!r.done;r=n.next())r.value.trainable=!1}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},t.prototype.checkInputTensorShape=function(t){var e=this.model.inputs[0].shape.length;if(t.shape.length!==e)throw new Error("Expected input Tensor to have rank "+e+", but got rank "+t.shape.length+" that differs ");var n=t.shape.slice(1),i=this.model.inputs[0].shape.slice(1);if(!r.util.arraysEqual(n,i))throw new Error("Expected input to have shape [null,"+i+"], but got shape [null,"+n+"]")},t.VALID_VOCABULARY_NAMES=["18w","directional4w"],t.DEFAULT_VOCABULARY_NAME="18w",t}(),j=function(t){function e(e,n,i){var a=t.call(this)||this;return a.name=e,a.parameters=n,a.baseModel=i,r.util.assert(null!=e&&"string"==typeof e&&e.length>0,function(){return"The name of a transfer model must be a non-empty string, but got "+JSON.stringify(e)}),a.nonBatchInputShape=a.baseModel.inputs[0].shape.slice(1),a.words=null,a.dataset=new E,a}return function(t,e){function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}(e,t),e.prototype.collectExample=function(t,e){return o(this,void 0,void 0,function(){var n,i,a,u,c=this;return s(this,function(l){if(r.util.assert(!this.streaming,function(){return"Cannot start collection of transfer-learning example because a streaming recognition or transfer-learning example collection is ongoing"}),r.util.assert(null!=t&&"string"==typeof t&&t.length>0,function(){return"Must provide a non-empty string when collecting transfer-learning example"}),null==e&&(e={}),null!=e.durationMultiplier&&null!=e.durationSec)throw new Error("durationMultiplier and durationSec are mutually exclusive, but are both specified.");return null!=e.durationSec?(r.util.assert(e.durationSec>0,function(){return"Expected durationSec to be > 0, but got "+e.durationSec}),i=this.parameters.fftSize/this.parameters.sampleRateHz,n=Math.ceil(e.durationSec/i)):null!=e.durationMultiplier?(r.util.assert(e.durationMultiplier>=1,function(){return"Expected duration multiplier to be >= 1, but got "+e.durationMultiplier}),n=Math.round(this.nonBatchInputShape[0]*e.durationMultiplier)):n=this.nonBatchInputShape[0],null!=e.snippetDurationSec&&(r.util.assert(e.snippetDurationSec>0,function(){return"snippetDurationSec is expected to be > 0, but got "+e.snippetDurationSec}),r.util.assert(null!=e.onSnippet,function(){return"onSnippet must be provided if snippetDurationSec is provided."})),null!=e.onSnippet&&r.util.assert(null!=e.snippetDurationSec,function(){return"snippetDurationSec must be provided if onSnippet is provided."}),a=this.parameters.fftSize/this.parameters.sampleRateHz,u=a*n,this.streaming=!0,[2,new Promise(function(i){var a=null==e.snippetDurationSec?1:e.snippetDurationSec/u,l=1-a,p=Math.round(1/a),m=0,g=-1,v=[];c.audioDataExtractor=new h({sampleRateHz:c.parameters.sampleRateHz,numFramesPerSpectrogram:n,columnTruncateLength:c.nonBatchInputShape[1],suppressionTimeMillis:0,spectrogramCallback:function(n,a){return o(c,void 0,void 0,function(){var o,u,c,l,h,b,x,w,k,_,E,O,S,C,A,N,T,I,D,M;return s(this,function(s){switch(s.label){case 0:return null!=e.onSnippet?[3,7]:(o=d(n),c=(u=this.dataset).addExample,l={label:t},h={},[4,o.data()]);case 1:return l.spectrogram=(h.data=s.sent(),h.frameSize=this.nonBatchInputShape[1],h),e.includeRawAudio?(x={},[4,a.data()]):[3,3];case 2:return x.data=s.sent(),x.sampleRateHz=this.audioDataExtractor.sampleRateHz,b=x,[3,4];case 3:b=void 0,s.label=4;case 4:return c.apply(u,[(l.rawAudio=b,l)]),o.dispose(),[4,this.audioDataExtractor.stop()];case 5:return s.sent(),this.streaming=!1,this.collateTransferWords(),w=i,k={},[4,n.data()];case 6:return w.apply(void 0,[(k.data=s.sent(),k.frameSize=this.nonBatchInputShape[1],k)]),[3,13];case 7:return[4,n.data()];case 8:for(_=s.sent(),-1===g&&(g=_.length),E=g-1;0!==_[E]&&E>=0;)E--;return O=g-E-1,g=E+1,S=_.slice(_.length-O,_.length),v.push(S),null!=e.onSnippet&&e.onSnippet({data:S,frameSize:this.nonBatchInputShape[1]}),m++!==p?[3,13]:[4,this.audioDataExtractor.stop()];case 9:return s.sent(),this.streaming=!1,this.collateTransferWords(),C=function(t){if(t.length<2)throw new Error("Cannot normalize a Float32Array with fewer than 2 elements.");return null==f&&(f=Object(r.backend)().epsilon()),Object(r.tidy)(function(){var e=Object(r.moments)(Object(r.tensor1d)(t)),n=e.mean,i=e.variance,a=n.arraySync(),o=Math.sqrt(i.arraySync()),s=Array.from(t).map(function(t){return(t-a)/(o+f)});return new Float32Array(s)})}(y(v)),A={data:C,frameSize:this.nonBatchInputShape[1]},T=(N=this.dataset).addExample,I={label:t,spectrogram:A},e.includeRawAudio?(M={},[4,a.data()]):[3,11];case 10:return M.data=s.sent(),M.sampleRateHz=this.audioDataExtractor.sampleRateHz,D=M,[3,12];case 11:D=void 0,s.label=12;case 12:T.apply(N,[(I.rawAudio=D,I)]),i(A),s.label=13;case 13:return[2,!1]}})})},overlapFactor:l,includeRawAudio:e.includeRawAudio}),c.audioDataExtractor.start(e.audioTrackConstraints)})]})})},e.prototype.clearExamples=function(){var t=this;r.util.assert(null!=this.words&&this.words.length>0&&!this.dataset.empty(),function(){return"No transfer learning examples exist for model name "+t.name}),this.dataset.clear(),this.words=null},e.prototype.countExamples=function(){if(this.dataset.empty())throw new Error("No examples have been collected for transfer-learning model named '"+this.name+"' yet.");return this.dataset.getExampleCounts()},e.prototype.getExamples=function(t){return this.dataset.getExamples(t)},e.prototype.setExampleKeyFrameIndex=function(t,e){this.dataset.setExampleKeyFrameIndex(t,e)},e.prototype.removeExample=function(t){this.dataset.removeExample(t),this.collateTransferWords()},e.prototype.isDatasetEmpty=function(){return this.dataset.empty()},e.prototype.loadExamples=function(t,e){var n,r,i,a;void 0===e&&(e=!1);var o=new E(t);e&&this.clearExamples();var s=o.getVocabulary();try{for(var c=u(s),l=c.next();!l.done;l=c.next()){var f=l.value,d=o.getExamples(f);try{for(var h=u(d),p=h.next();!p.done;p=h.next()){var m=p.value;this.dataset.addExample(m.example)}}catch(t){i={error:t}}finally{try{p&&!p.done&&(a=h.return)&&a.call(h)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{l&&!l.done&&(r=c.return)&&r.call(c)}finally{if(n)throw n.error}}this.collateTransferWords()},e.prototype.serializeExamples=function(t){return this.dataset.serialize(t)},e.prototype.collateTransferWords=function(){this.words=this.dataset.getVocabulary()},e.prototype.collectTransferDataAsTensors=function(t,e){var n=this.nonBatchInputShape[0];t=t||.25;var r=Math.round(t*n),i=this.dataset.getData(null,a({numFrames:n,hopFrames:r},e));return{xs:i.xs,ys:i.ys}},e.prototype.collectTransferDataAsTfDataset=function(t,e,n,r){void 0===e&&(e=.15),void 0===n&&(n=32);var i=this.nonBatchInputShape[0];t=t||.25;var o=Math.round(t*i);return this.dataset.getData(null,a({numFrames:i,hopFrames:o,getDataset:!0,datasetBatchSize:n,datasetValidationSplit:e},r))},e.prototype.train=function(t){return o(this,void 0,void 0,function(){var e,n=this;return s(this,function(i){switch(i.label){case 0:return r.util.assert(null!=this.words&&this.words.length>0,function(){return"Cannot train transfer-learning model '"+n.name+"' because no transfer learning example has been collected."}),r.util.assert(this.words.length>1,function(){return"Cannot train transfer-learning model '"+n.name+"' because only 1 word label ('"+JSON.stringify(n.words)+"') has been collected for transfer learning. Requires at least 2."}),null!=t.fineTuningEpochs&&r.util.assert(t.fineTuningEpochs>=0&&Number.isInteger(t.fineTuningEpochs),function(){return"If specified, fineTuningEpochs must be a non-negative integer, but received "+t.fineTuningEpochs}),null==t&&(t={}),null==this.model&&this.createTransferModelFromBaseModel(),this.secondLastBaseDenseLayer.trainable=!1,this.model.compile({loss:"categoricalCrossentropy",optimizer:t.optimizer||"sgd",metrics:["acc"]}),e=null==t.fitDatasetDurationMillisThreshold?6e4:t.fitDatasetDurationMillisThreshold,this.dataset.durationMillis()>e?(console.log("Detected large dataset: total duration = "+this.dataset.durationMillis()+" ms > "+e+" ms. 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d=s.sent(),console.log("fitDataset() (fine-tuning) took "+(r.util.now()-f).toFixed(2)+" ms"),[2,[l,d]];case 3:return[2,l]}})})},e.prototype.trainOnTensors=function(t){return o(this,void 0,void 0,function(){var e,n,i,a,o,u,c,l,f,d;return s(this,function(s){switch(s.label){case 0:e=t.windowHopRatio||.25,n=this.collectTransferDataAsTensors(e,{augmentByMixingNoiseRatio:t.augmentByMixingNoiseRatio}),i=n.xs,a=n.ys,console.log("Training data: xs.shape = "+i.shape+", ys.shape = "+a.shape),s.label=1;case 1:return s.trys.push([1,,6,7]),null!=t.validationSplit?(l=function(t,e,n){return r.util.assert(n>0&&n<1,function(){return"validationSplit is expected to be >0 and <1, but got "+n}),Object(r.tidy)(function(){for(var i=e.argMax(-1).dataSync(),a=[],o=0;o<i.length;++o){var s=i[o];null==a[s]&&(a[s]=[]),a[s].push(o)}var u=a.length,c=[],l=[];for(a.map(function(t){return r.util.shuffle(t)}),o=0;o<u;++o)for(var f=a[o],d=Math.round(f.length*(1-n)),h=0;h<f.length;++h)h<d?c.push(f[h]):l.push(f[h]);return{trainXs:Object(r.gather)(t,c),trainYs:Object(r.gather)(e,c),valXs:Object(r.gather)(t,l),valYs:Object(r.gather)(e,l)}})}(i,a,t.validationSplit),o=l.trainXs,u=l.trainYs,c=[l.valXs,l.valYs]):(o=i,u=a),[4,this.model.fit(o,u,{epochs:null==t.epochs?20:t.epochs,validationData:c,batchSize:t.batchSize,callbacks:null==t.callback?null:[t.callback]})];case 2:return f=s.sent(),null!=t.fineTuningEpochs&&t.fineTuningEpochs>0?[4,this.fineTuningUsingTensors(t,o,u,c)]:[3,4];case 3:return d=s.sent(),[2,[f,d]];case 4:return[2,f];case 5:return[3,7];case 6:return Object(r.dispose)([i,a,o,u,c]),[7];case 7:return[2]}})})},e.prototype.fineTuningUsingTfDatasets=function(t,e,n){return o(this,void 0,void 0,function(){var r,i,a;return s(this,function(o){switch(o.label){case 0:return 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  /**
   * @license
   * Copyright 2019 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   * =============================================================================
   */
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Phalangium opilio",71:"scorpion",72:"black and gold garden spider, Argiope aurantia",73:"barn spider, Araneus cavaticus",74:"garden spider, Aranea diademata",75:"black widow, Latrodectus mactans",76:"tarantula",77:"wolf spider, hunting spider",78:"tick",79:"centipede",80:"black grouse",81:"ptarmigan",82:"ruffed grouse, partridge, Bonasa umbellus",83:"prairie chicken, prairie grouse, prairie fowl",84:"peacock",85:"quail",86:"partridge",87:"African grey, African gray, Psittacus erithacus",88:"macaw",89:"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",90:"lorikeet",91:"coucal",92:"bee eater",93:"hornbill",94:"hummingbird",95:"jacamar",96:"toucan",97:"drake",98:"red-breasted merganser, Mergus serrator",99:"goose",100:"black swan, Cygnus atratus",101:"tusker",102:"echidna, spiny anteater, anteater",103:"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",104:"wallaby, brush kangaroo",105:"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",106:"wombat",107:"jelly fish",108:"sea anemone, anemone",109:"brain coral",110:"flatworm, platyhelminth",111:"nematode, nematode worm, roundworm",112:"conch",113:"snail",114:"slug",115:"sea slug, nudibranch",116:"chiton, coat-of-mail shell, sea cradle, polyplacophore",117:"chambered nautilus, pearly nautilus, nautilus",118:"Dungeness crab, Cancer magister",119:"rock crab, Cancer irroratus",120:"fiddler crab",121:"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",122:"American lobster, Northern lobster, Maine lobster, Homarus americanus",123:"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",124:"crayfish, crawfish, crawdad, crawdaddy",125:"hermit crab",126:"isopod",127:"white stork, Ciconia ciconia",128:"black stork, Ciconia nigra",129:"spoonbill",130:"flamingo",131:"little blue heron, Egretta caerulea",132:"American egret, great white heron, Egretta albus",133:"bittern",134:"crane",135:"limpkin, Aramus pictus",136:"European gallinule, Porphyrio porphyrio",137:"American coot, marsh hen, mud hen, water hen, Fulica americana",138:"bustard",139:"ruddy turnstone, Arenaria interpres",140:"red-backed sandpiper, dunlin, Erolia alpina",141:"redshank, Tringa totanus",142:"dowitcher",143:"oystercatcher, oyster catcher",144:"pelican",145:"king penguin, Aptenodytes patagonica",146:"albatross, mollymawk",147:"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",148:"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",149:"dugong, Dugong dugon",150:"sea lion",151:"Chihuahua",152:"Japanese spaniel",153:"Maltese dog, Maltese terrier, Maltese",154:"Pekinese, Pekingese, Peke",155:"Shih-Tzu",156:"Blenheim spaniel",157:"papillon",158:"toy terrier",159:"Rhodesian ridgeback",160:"Afghan hound, Afghan",161:"basset, basset hound",162:"beagle",163:"bloodhound, sleuthhound",164:"bluetick",165:"black-and-tan coonhound",166:"Walker hound, Walker foxhound",167:"English foxhound",168:"redbone",169:"borzoi, Russian wolfhound",170:"Irish wolfhound",171:"Italian greyhound",172:"whippet",173:"Ibizan hound, Ibizan Podenco",174:"Norwegian elkhound, elkhound",175:"otterhound, otter hound",176:"Saluki, gazelle hound",177:"Scottish deerhound, deerhound",178:"Weimaraner",179:"Staffordshire bullterrier, Staffordshire bull terrier",180:"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",181:"Bedlington terrier",182:"Border terrier",183:"Kerry blue terrier",184:"Irish terrier",185:"Norfolk terrier",186:"Norwich terrier",187:"Yorkshire terrier",188:"wire-haired fox terrier",189:"Lakeland terrier",190:"Sealyham terrier, Sealyham",191:"Airedale, Airedale terrier",192:"cairn, cairn terrier",193:"Australian terrier",194:"Dandie Dinmont, Dandie Dinmont terrier",195:"Boston bull, Boston terrier",196:"miniature schnauzer",197:"giant schnauzer",198:"standard schnauzer",199:"Scotch terrier, Scottish terrier, Scottie",200:"Tibetan terrier, chrysanthemum dog",201:"silky terrier, Sydney silky",202:"soft-coated wheaten terrier",203:"West Highland white terrier",204:"Lhasa, Lhasa apso",205:"flat-coated retriever",206:"curly-coated retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, ocean liner",629:"lipstick, lip rouge",630:"Loafer",631:"lotion",632:"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",633:"loupe, jeweler's loupe",634:"lumbermill, sawmill",635:"magnetic compass",636:"mailbag, postbag",637:"mailbox, letter box",638:"maillot",639:"maillot, tank suit",640:"manhole cover",641:"maraca",642:"marimba, xylophone",643:"mask",644:"matchstick",645:"maypole",646:"maze, labyrinth",647:"measuring cup",648:"medicine chest, medicine cabinet",649:"megalith, megalithic structure",650:"microphone, mike",651:"microwave, microwave oven",652:"military uniform",653:"milk can",654:"minibus",655:"miniskirt, mini",656:"minivan",657:"missile",658:"mitten",659:"mixing bowl",660:"mobile home, manufactured home",661:"Model T",662:"modem",663:"monastery",664:"monitor",665:"moped",666:"mortar",667:"mortarboard",668:"mosque",669:"mosquito net",670:"motor scooter, scooter",671:"mountain bike, all-terrain bike, off-roader",672:"mountain tent",673:"mouse, computer mouse",674:"mousetrap",675:"moving van",676:"muzzle",677:"nail",678:"neck brace",679:"necklace",680:"nipple",681:"notebook, notebook computer",682:"obelisk",683:"oboe, hautboy, hautbois",684:"ocarina, sweet potato",685:"odometer, hodometer, mileometer, milometer",686:"oil filter",687:"organ, pipe organ",688:"oscilloscope, scope, cathode-ray oscilloscope, CRO",689:"overskirt",690:"oxcart",691:"oxygen mask",692:"packet",693:"paddle, boat paddle",694:"paddlewheel, paddle wheel",695:"padlock",696:"paintbrush",697:"pajama, pyjama, pj's, jammies",698:"palace",699:"panpipe, pandean pipe, syrinx",700:"paper towel",701:"parachute, chute",702:"parallel bars, bars",703:"park bench",704:"parking meter",705:"passenger car, coach, carriage",706:"patio, terrace",707:"pay-phone, pay-station",708:"pedestal, plinth, footstall",709:"pencil box, pencil case",710:"pencil sharpener",711:"perfume, essence",712:"Petri dish",713:"photocopier",714:"pick, plectrum, plectron",715:"pickelhaube",716:"picket fence, paling",717:"pickup, pickup truck",718:"pier",719:"piggy bank, penny bank",720:"pill bottle",721:"pillow",722:"ping-pong ball",723:"pinwheel",724:"pirate, pirate ship",725:"pitcher, ewer",726:"plane, carpenter's plane, woodworking plane",727:"planetarium",728:"plastic bag",729:"plate rack",730:"plow, plough",731:"plunger, plumber's helper",732:"Polaroid camera, Polaroid Land camera",733:"pole",734:"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",735:"poncho",736:"pool table, billiard table, snooker table",737:"pop bottle, soda bottle",738:"pot, flowerpot",739:"potter's wheel",740:"power drill",741:"prayer rug, prayer mat",742:"printer",743:"prison, prison house",744:"projectile, missile",745:"projector",746:"puck, hockey puck",747:"punching bag, punch bag, punching ball, punchball",748:"purse",749:"quill, quill pen",750:"quilt, comforter, comfort, puff",751:"racer, race car, racing car",752:"racket, racquet",753:"radiator",754:"radio, wireless",755:"radio telescope, radio reflector",756:"rain barrel",757:"recreational vehicle, RV, R.V.",758:"reel",759:"reflex camera",760:"refrigerator, icebox",761:"remote control, remote",762:"restaurant, eating house, eating place, eatery",763:"revolver, six-gun, six-shooter",764:"rifle",765:"rocking chair, rocker",766:"rotisserie",767:"rubber eraser, rubber, pencil eraser",768:"rugby ball",769:"rule, ruler",770:"running shoe",771:"safe",772:"safety pin",773:"saltshaker, salt shaker",774:"sandal",775:"sarong",776:"sax, saxophone",777:"scabbard",778:"scale, weighing machine",779:"school bus",780:"schooner",781:"scoreboard",782:"screen, CRT screen",783:"screw",784:"screwdriver",785:"seat belt, seatbelt",786:"sewing machine",787:"shield, buckler",788:"shoe shop, shoe-shop, shoe store",789:"shoji",790:"shopping basket",791:"shopping cart",792:"shovel",793:"shower cap",794:"shower curtain",795:"ski",796:"ski mask",797:"sleeping bag",798:"slide rule, slipstick",799:"sliding door",800:"slot, one-armed bandit",801:"snorkel",802:"snowmobile",803:"snowplow, snowplough",804:"soap dispenser",805:"soccer ball",806:"sock",807:"solar dish, solar collector, solar furnace",808:"sombrero",809:"soup bowl",810:"space bar",811:"space heater",812:"space shuttle",813:"spatula",814:"speedboat",815:"spider web, spider's web",816:"spindle",817:"sports car, sport car",818:"spotlight, spot",819:"stage",820:"steam locomotive",821:"steel arch bridge",822:"steel drum",823:"stethoscope",824:"stole",825:"stone wall",826:"stopwatch, stop watch",827:"stove",828:"strainer",829:"streetcar, tram, tramcar, trolley, trolley car",830:"stretcher",831:"studio couch, day bed",832:"stupa, tope",833:"submarine, pigboat, sub, U-boat",834:"suit, suit of clothes",835:"sundial",836:"sunglass",837:"sunglasses, dark glasses, shades",838:"sunscreen, sunblock, sun blocker",839:"suspension bridge",840:"swab, swob, mop",841:"sweatshirt",842:"swimming trunks, bathing trunks",843:"swing",844:"switch, electric switch, electrical switch",845:"syringe",846:"table lamp",847:"tank, army tank, armored combat vehicle, armoured combat vehicle",848:"tape player",849:"teapot",850:"teddy, teddy bear",851:"television, television system",852:"tennis ball",853:"thatch, thatched roof",854:"theater curtain, theatre curtain",855:"thimble",856:"thresher, thrasher, threshing machine",857:"throne",858:"tile roof",859:"toaster",860:"tobacco shop, tobacconist shop, tobacconist",861:"toilet seat",862:"torch",863:"totem pole",864:"tow truck, tow car, wrecker",865:"toyshop",866:"tractor",867:"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",868:"tray",869:"trench coat",870:"tricycle, trike, velocipede",871:"trimaran",872:"tripod",873:"triumphal arch",874:"trolleybus, trolley coach, trackless trolley",875:"trombone",876:"tub, vat",877:"turnstile",878:"typewriter keyboard",879:"umbrella",880:"unicycle, monocycle",881:"upright, upright piano",882:"vacuum, vacuum cleaner",883:"vase",884:"vault",885:"velvet",886:"vending machine",887:"vestment",888:"viaduct",889:"violin, fiddle",890:"volleyball",891:"waffle iron",892:"wall clock",893:"wallet, billfold, notecase, pocketbook",894:"wardrobe, closet, press",895:"warplane, military plane",896:"washbasin, handbasin, washbowl, lavabo, wash-hand basin",897:"washer, automatic washer, washing machine",898:"water bottle",899:"water jug",900:"water tower",901:"whiskey jug",902:"whistle",903:"wig",904:"window screen",905:"window shade",906:"Windsor tie",907:"wine bottle",908:"wing",909:"wok",910:"wooden spoon",911:"wool, woolen, woollen",912:"worm fence, snake fence, snake-rail fence, Virginia fence",913:"wreck",914:"yawl",915:"yurt",916:"web site, website, internet site, site",917:"comic book",918:"crossword puzzle, crossword",919:"street sign",920:"traffic light, traffic signal, stoplight",921:"book jacket, dust cover, dust jacket, dust wrapper",922:"menu",923:"plate",924:"guacamole",925:"consomme",926:"hot pot, hotpot",927:"trifle",928:"ice cream, icecream",929:"ice lolly, lolly, lollipop, popsicle",930:"French loaf",931:"bagel, beigel",932:"pretzel",933:"cheeseburger",934:"hotdog, hot dog, red hot",935:"mashed potato",936:"head cabbage",937:"broccoli",938:"cauliflower",939:"zucchini, courgette",940:"spaghetti squash",941:"acorn squash",942:"butternut squash",943:"cucumber, cuke",944:"artichoke, globe 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   * Copyright 2018 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
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   * limitations under the License.
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   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
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  /**
   * @license
   * Copyright 2018 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.
   * =============================================================================
   */var r=this&&this.__awaiter||function(t,e,n,r){return new(n||(n=Promise))(function(i,a){function o(t){try{u(r.next(t))}catch(t){a(t)}}function s(t){try{u(r.throw(t))}catch(t){a(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})},i=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0});const a=i(n(82)),o=n(59),s=n(37);e.confusionMatrix=function(t,e,n={}){return r(this,void 0,void 0,function*(){const r=Object.assign({},u,n),i=s.getDrawArea(t),c=[],l=e.values,f=e.tickLabels||[],d=0===f.length;let h=!0;for(let t=0;t<l.length;t++){const e=d?`Class ${t}`:f[t];d&&f.push(e);for(let n=0;n<l[t].length;n++){const i=d?`Class ${n}`:f[n],a=l[t][n];t!==n||r.shadeDiagonal?(c.push({label:e,prediction:i,count:a,scaleCount:a}),0!==a&&(h=!1)):c.push({label:e,prediction:i,count:a,noFill:!0})}}if(!r.shadeDiagonal&&h)for(const t of c)!0===t.noFill&&(t.noFill=!1,t.scaleCount=t.count);const p={width:r.width||o.getDefaultWidth(i),height:r.height||o.getDefaultHeight(i),padding:0,autosize:{type:"fit",contains:"padding",resize:!0},config:{axis:{labelFontSize:r.fontSize,titleFontSize:r.fontSize},text:{fontSize:r.fontSize},legend:{labelFontSize:r.fontSize,titleFontSize:r.fontSize}},data:{values:c},encoding:{x:{field:"prediction",type:"ordinal",title:r.xLabel||"prediction",scale:{domain:f}},y:{field:"label",type:"ordinal",title:r.yLabel||"label",scale:{domain:f}}},layer:[{transform:[{filter:"datum.noFill != true"}],mark:{type:"rect"},encoding:{color:{field:"scaleCount",type:"quantitative",scale:{range:r.colorMap}},tooltip:[{field:"label",type:"nominal"},{field:"prediction",type:"nominal"},{field:"count",type:"quantitative"}]}}]};!1===r.shadeDiagonal&&p.layer.push({transform:[{filter:"datum.noFill == true"}],mark:{type:"rect",fill:"white"},encoding:{tooltip:[{field:"label",type:"nominal"},{field:"prediction",type:"nominal"},{field:"count",type:"quantitative"}]}}),r.showTextOverlay&&p.layer.push({mark:{type:"text",baseline:"middle"},encoding:{text:{field:"count",type:"nominal"}}});const m="string"==typeof r.colorMap?{scheme:r.colorMap}:r.colorMap;p.layer[0].encoding.color.scale.range=m,yield a.default(i,p,{actions:!1,mode:"vega-lite",defaultStyle:!1})})};const u={xLabel:null,yLabel:null,xType:"nominal",yType:"nominal",shadeDiagonal:!0,fontSize:12,showTextOverlay:!0,height:400,colorMap:["#f7fbff","#4292c6"]}},function(t,e,n){"use strict";
  /**
   * @license
   * Copyright 2018 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.
   * =============================================================================
   */Object.defineProperty(e,"__esModule",{value:!0});const r=n(155),i=n(104);e.Tabs=class extends r.Component{render(){const{tabNames:t,activeTab:e,handleClick:n}=this.props,o=t.length>0?t.map(t=>r.h(a,{key:t,id:t,handleClick:n,isActive:t===e},t)):null,s=i.css({overflowX:"scroll",overflowY:"hidden",whiteSpace:"nowrap",borderBottomStyle:"solid",borderBottomWidth:"1px",borderColor:"#eee",paddingBottom:"1rem",marginTop:"1rem"});return r.h("div",{className:`${s} visor-tabs`},o)}};class a extends r.Component{render(){const{children:t,isActive:e,handleClick:n,id:a}=this.props,o=i.css({borderBottomColor:e?"#357EDD":"#AAAAAA",borderBottomWidth:"1px",borderBottomStyle:"solid",cursor:"pointer",":hover":{color:"#357EDD"},display:"inline-block",marginRight:"1rem",padding:".5rem",fontSize:"1rem",fontWeight:"bold"});return r.h("a",{className:`${o} tf-tab`,"data-isactive":e,onClick:()=>n(a)},t)}}},function(t,e,n){"use strict";
  /**
   * @license
   * Copyright 2018 Google LLC. All Rights Reserved.
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   * =============================================================================
   */Object.defineProperty(e,"__esModule",{value:!0});const r=n(155),i=n(104);class a extends r.Component{componentDidMount(){const{name:t,tab:e}=this.props;this.props.registerSurface(t,e,this)}componentDidUpdate(){return!1}render(){const{name:t,visible:e,styles:n}=this.props,o=Object.assign({},a.defaultStyles,n),{width:s,height:u}=o;let{maxHeight:c,maxWidth:l}=o;c=u===a.defaultStyles.height?c:u,l=s===a.defaultStyles.width?l:s;const f=i.css({display:e?"block":"none",backgroundColor:"white",marginTop:"10px",marginBottom:"10px",boxShadow:"0 0 6px -3px #777",padding:"10px !important",height:u,width:s,maxHeight:c,maxWidth:l,overflow:"auto"}),d=i.css({backgroundColor:"white",boxSizing:"border-box",borderBottom:"1px solid #357EDD",lineHeight:"2em",marginBottom:"20px",fontWeight:"600",textAlign:"center"}),h=i.css({boxSizing:"border-box"});return r.h("div",{className:`${f} tf-surface`,ref:t=>this.container=t,"data-visible":e},r.h("div",{className:`${d} tf-label`,ref:t=>this.label=t},t),r.h("div",{className:`${h} tf-draw-area`,ref:t=>this.drawArea=t}))}}a.defaultStyles={maxWidth:"550px",maxHeight:"580px",height:"auto",width:"auto"},e.SurfaceComponent=a},function(t,e,n){"use strict";
  /**
   * @license
   * Copyright 2018 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.
   * =============================================================================
   */Object.defineProperty(e,"__esModule",{value:!0});const r=n(155),i=n(104),a=n(438),o=n(437);class s extends r.Component{static render(t,e,n){return r.render(r.h(s,Object.assign({},n)),t,e)}constructor(t){super(t),this.surfaces=new Map;const e=null==t.startOpen||t.startOpen;this.state={isOpen:e,isFullscreen:!1,activeTab:null,tabs:new Set},this.keyHandler=this.keyHandler.bind(this)}close(){this.setState({isOpen:!1})}open(){this.setState({isOpen:!0})}toggle(){this.setState({isOpen:!this.state.isOpen})}toggleFullScreen(){this.setState({isFullscreen:!this.state.isFullscreen})}isOpen(){return this.state.isOpen}isFullscreen(){return this.state.isFullscreen}getSurface(t,e){const n=this.surfaceId(t,e);let r;if(!this.surfaces.has(n))throw Error(`Surface not found with id: ${n}`);return{container:(r=this.surfaces.get(n)).container,label:r.label,drawArea:r.drawArea}}bindKeys(){document.addEventListener("keydown",this.keyHandler,!1)}unbindKeys(){document.removeEventListener("keydown",this.keyHandler)}surfaceId(t,e){return t+e}setTabs(t){const e=t.map(t=>t.tab),n=this.state.tabs;let r;for(const t of e)n.has(t)||(n.add(t),r=t);null!=r&&this.setState({tabs:n,activeTab:r})}getTabs(){return this.state.tabs}registerSurface(t,e,n){const 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