// @tensorflow/tfjs Copyright 2019 Google
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this.throwIfDisposed(),ct.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),ct.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),ct.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),ct.spectral.irfft(this)},t}();Object.defineProperty(ht,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var ft=function(t){function e(e,n,r){void 0===n&&(n=!0);var i=t.call(this,e.shape,e.dtype,null,e.dataId)||this;i.trainable=n,i.name=r,null==i.name&&(i.name=lt().nextVariableId().toString());try{lt().registerVariable(i)}catch(t){throw lt().disposeTensor(i),t}return i}return n(e,t),e.variable=function(t,n,r,i){return void 0===n&&(n=!0),null!=i&&i!==t.dtype&&(t=t.asType(i)),new e(t,n,r)},e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!b(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");lt().disposeTensor(this),this.dataId=t.dataId,lt().registerTensor(this)},e.prototype.dispose=function(){lt().disposeVariable(this),this.isDisposedInternal=!0},e}(ht);Object.defineProperty(ft,Symbol.hasInstance,{value:function(t){return t instanceof ht&&null!=t.assign&&t.assign instanceof Function}});var dt,mt,gt,vt,yt=ft.variable;!function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(t.Rank||(t.Rank={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(dt||(dt={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(mt||(mt={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(gt||(gt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(vt||(vt={}));var bt={float32:gt,int32:dt,bool:mt,complex64:vt};function wt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return bt[t][e]}function xt(t){return wt(t,"int32")}function Nt(t,e){if(t.dtype===e.dtype)return[t,e];var n=wt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Ct(t,e){d(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function Et(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof ht)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 St,It=Object.freeze({makeTypesMatch:Nt,assertTypesMatch:Ct,isTensorInList:function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},getTensorsInContainer:Et}),kt=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),At=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new kt}return t.prototype.ready=function(){return i(this,void 0,void 0,function(){var t,e,n;return a(this,function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then(function(){})];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return i(this,void 0,void 0,function(){var e,n,r;return a(this,function(i){switch(i.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[t],this.profiler=new tt(this.backendInstance),[2,!0]}})})},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,a=r.then(function(n){return!(i<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))}).catch(function(n){return!(i<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))});return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority})},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),i=r.success,a=r.asyncInit;if(a||i)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){this.write(t,e,this.readSync(e))},t.prototype.tidy=function(t,e){var n,r=this,i=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=t}return this.scopedRun(function(){return r.startScope(i)},function(){return r.endScope(n)},function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n})},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=ht.make(t.shape,{dataId:t.dataId},t.dtype);return this.addTapeNode([t],e,function(t){return[t.toFloat()]}),e},t.prototype.runKernel=function(t,e,n){var r,i=this,a=[],o=this.isTapeOn(),s=null!=this.state.activeScope?this.state.activeScope.name:"",u=function(t){o&&(a=t.map(function(t){return i.keep(i.clone(t))}))},l=this.state.numBytes,c=this.state.numTensors;if(this.scopedRun(function(){return i.state.kernelDepth++},function(){return i.state.kernelDepth--},function(){r=i.ENV.getBool("DEBUG")?i.profiler.profileKernel(s,function(){return t(i.backend,u)}):t(i.backend,u)}),o){var p={id:this.state.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r],saved:a};null!=n&&(p.gradient=function(t){return n(t,a)}),this.state.activeTape.push(p)}return this.state.profiling&&this.state.activeProfile.kernels.push({name:s,bytesAdded:this.state.numBytes-l,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-c,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*F(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:null!=e?e:this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r,null!=e?e.register(t.dataId,t.shape,t.dtype):this.backend.register(t.dataId,t.shape,t.dtype)}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof ft||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.state.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.state.registeredVariables[t.name]=t},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return i(this,void 0,void 0,function(){var e,n;return a(this,function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]})})},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n){var r={};t.forEach(function(t,e){r[e]=t});var i={id:this.state.nextTapeNodeId++,name:this.state.activeScope.name,inputs:r,outputs:[e],gradient:function(t){var e={};return n(t).forEach(function(t,n){e[n]=function(){return t}}),e}};this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=Et(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),d(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)});d(a instanceof ht,function(){return"The result y returned by f() must be a tensor."});var o=function(t,e,n){for(var r={},i={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var o=(d=t[a]).inputs;for(var s in o){for(var u=o[s],l=!1,c=0;c<e.length;c++)if(r[u.id]){d.outputs.forEach(function(t){return r[t.id]=!0}),l=!0,i[d.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var h={};for(a=t.length-1;a>=0;a--)for(o=(d=t[a]).inputs,c=0;c<d.outputs.length;c++)if(p[d.outputs[c].id]){for(var s in o)p[o[s].id]=!0,h[d.id]=!0;break}var f=[];for(a=0;a<t.length;a++){var d;if(i[(d=t[a]).id]&&h[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},d);v.inputs=m,v.outputs=d.outputs,f.push(v)}}return f}(this.state.activeTape,e,a);if(!r&&0===o.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var t,r,s={};s[a.id]=null==n?(r=H(y(t=a.shape),"float32"),ht.make(t,{values:r})):n,function(t,e,n){for(var r=function(r){var i=e[r],a=[];if(i.outputs.forEach(function(e){var n=t[e.id];if(null!=n)a.push(n);else{var r=ht.make(e.shape,{values:K(e.size,e.dtype)},e.dtype);a.push(r)}}),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.name+".");var o=i.gradient(1===i.outputs.length?a[0]:a),s=function(e){if(!(e in o))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(o)+".");var r=n(function(){return o[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+i.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=i.inputs[e];if(!b(r.shape,a.shape))throw new Error("Error in gradient for op "+i.name+". 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 in t.saved)t.saved[e].dispose()}),i.state.activeTape=null),{value:a,grads:u}})},t.prototype.customGrad=function(t){var e=this;return d(W(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];d(r.every(function(t){return t instanceof ht}),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.runKernel(function(e,i){return d((n=t.apply(void 0,r.concat([i]))).value instanceof ht,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),d(W(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];d(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(...)."}),d(a.every(function(t){return t instanceof ht}),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.write=function(t,e,n){var r=this.state.tensorInfo.get(e),i=r.backend;if(t=t||this.backend,"string"===r.dtype){var a=M(n);this.state.numBytes+=a-r.bytes,r.bytes=a}t!==i&&(i.disposeData(e),r.backend=t,t.register(e,r.shape,r.dtype)),t.write(e,n)},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.fromPixels=function(t,e){return this.backend.fromPixels(t,e)},t.prototype.time=function(t){return i(this,void 0,void 0,function(){var e,n;return a(this,function(r){switch(r.label){case 0:return e=$(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=$()-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 kt,this.registry)this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}(),Tt=function(){var t=function(){if(null==St){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof global)t=global;else if("undefined"!=typeof process)t=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");t=self}St=t}return St}();if(null==t._tfengine){var e=new o(t);t._tfengine=new At(e)}return u(t._tfengine.ENV),lt=function(){return t._tfengine},t._tfengine}();function Rt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}t.ENV.registerFlag("DEBUG",function(){return!1},function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. 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jr=Object.freeze({castTensor:Vr,reshapeTensor:Wr,linspaceImpl:Ur,upcastType:wt,axesAreInnerMostDims:Pe,combineLocations:Ve,computeOutAndReduceShapes:We,expandShapeToKeepDim:Ue,assertAxesAreInnerMostDims:je,getAxesPermutation:qe,getUndoAxesPermutation:Ge,getInnerMostAxes:He,getBroadcastDims:kr,getReductionAxes:Ar,assertAndGetBroadcastShape:Tr,assertParamsConsistent:Ke,computeOutShape:$e,computePool2DInfo:Rr,computeConv2DInfo:Dr,computeConv3DInfo:Or,computeDefaultPad:_r,tupleValuesAreOne:Br,eitherStridesOrDilationsAreOne:Pr});function qr(t,e){if(t.length!==e.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+t.length+", imag: "+e.length+".");for(var n=new Float32Array(2*t.length),r=0;r<n.length;r+=2)n[r]=t[r/2],n[r+1]=e[r/2];return n}function Gr(t,e){return{real:t[2*e],imag:t[2*e+1]}}function Hr(t,e,n,r){t[2*r]=e,t[2*r+1]=n}function Kr(t,e,n){var r=(n?2:-2)*Math.PI*(t/e);return{real:Math.cos(r),imag:Math.sin(r)}}function $r(t,e,n,r,i){for(var a=Array.from(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}),o=[],s=0;s<a.length;s++){var u=a[s],l=u.score,c=u.boxIndex;if(l<i)break;for(var p=!1,h=o.length-1;h>=0;--h)if(Xr(t,c,o[h])>=r){p=!0;break}if(!p&&(o.push(c),o.length>=n))break}return nn(o,"int32")}function Xr(t,e,n){var r=t.subarray(4*e,4*e+4),i=t.subarray(4*n,4*n+4),a=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(i[0],i[2]),c=Math.min(i[1],i[3]),p=Math.max(i[0],i[2]),h=Math.max(i[1],i[3]),f=(s-a)*(u-o),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(a,l),g=Math.max(o,c),v=Math.min(s,p),y=Math.min(u,h),b=Math.max(v-m,0)*Math.max(y-g,0);return b/(f+d-b)}function Yr(t,e,n){var r=new Array(t.rank).fill(0),i=t.shape.slice();return e.map(function(e){i[n]=e;var a=t.slice(r,i);return r[n]+=e,a})}function Jr(t,e){for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var i=_n(n,t.dtype);for(r=0;r<i.values.length;++r){for(var a=i.indexToLoc(r),o=new Array(t.rank),s=0;s<o.length;s++)o[s]=a[s]%t.shape[s];var u=t.locToIndex(o);i.values[r]=t.values[u]}return i.toTensor()}function Zr(t,e,n,r,i){for(var a=e[e.length-1],o=[t.length/a,a],s=o[0],u=o[1],l=A(n,s*r),c=A("int32",s*r),p=0;p<s;p++){for(var h=p*u,f=t.subarray(h,h+u),d=[],m=0;m<f.length;m++)d.push({value:f[m],index:m});d.sort(function(t,e){return e.value-t.value});var g=p*r,v=l.subarray(g,g+r),y=c.subarray(g,g+r);for(m=0;m<r;m++)v[m]=d[m].value,y[m]=d[m].index}var b=e.slice();return b[b.length-1]=r,[Qe(l,b,n),Qe(c,b,"int32")]}function Qr(t,e){for(var n=[],r=0;r<e.length;r++)e[r]&&n.push(r);var i=_n(t,"int32"),a=_n([n.length,t.length],"int32");for(r=0;r<n.length;r++){var o=i.indexToLoc(n[r]),s=r*t.length;a.values.set(o,s)}return a.toTensor()}var ti=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    "},ei=function(t,e){this.outputShape=[],this.usesPackedTextures=!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    "},ni=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    "};function ri(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function ii(t,e){return 1===e?[t]:ri(t,e)}function ai(){var e,n,r,i,a,o,s,u,l,c;return 2===t.ENV.getNumber("WEBGL_VERSION")?(e="#version 300 es",n="in",r="out",i="in",a="texture",o="outputColor",s="out vec4 outputColor;",u="\n      bool isnan_custom(float val) {\n     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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 li(t,e,n,r){var i=[];t.forEach(function(t){var e=y(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=ai(),"\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=ai();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=ai();if(null!=i&&b(e,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+l+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===n[0]){var s=n.slice(1),u=vi(e,s);return"\n        "+t(u)+"\n        vec4 "+i+"(int b, int row, int col) {\n          return "+i+"("+yi(["b","row","col"],[1,2])+");\n        }\n      "}var l=o[0],c=o[1],p=Math.ceil(n[2]/2),h=p*Math.ceil(n[1]/2),f=ai();return"\n    vec4 "+i+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+l+", "+c+", "+h+", "+p+", b, row, col);\n      return "+f.texture2D+"("+r+", uv);\n    }\n  "}(e);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=o[0],u=o[1],l=Math.ceil(e[n-1]/2),c=l*Math.ceil(e[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,c*=e[n-f-1],h="b"+f+" * "+c+" + "+h;var d=ai();return"\n    vec4 "+i+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(e)}}(t):function t(e){var n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,i=r[0],a=r[1];if(1===i&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=t.shapeInfo.texShape,s=o[0],u=o[1],l=di(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+l+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+mi(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=di(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&&b(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=k(n),l=u.newShape,c=u.keptDims,p=l;if(p.length<n.length){var h=vi(e,p);return"\n      "+t(h)+"\n      float "+i+"(int row, int col) {\n        return "+i+"("+yi(["row","col"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+mi(e)+"\n      }\n    ";var f=a[0],d=a[1],m=di(r);return 1===d?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+i+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+m+";\n    vec2 uv = uvFromFlat("+f+", "+d+", index);\n    return sampleTexture("+r+", uv);\n  }\n"}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[1]*n[2],o=n[2],s=k(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=vi(e,c);return"\n        "+t(p)+"\n        float "+i+"(int row, int col, int depth) {\n          return "+i+"("+yi(["row","col","depth"],l)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+o+", 1)));\n        "+mi(e)+"\n      }\n    ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===a&&null==m)return"\n        float "+i+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(d===o&&null==m)return"\n    float "+i+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var g=di(r);return"\n      float "+i+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+o+" + depth + "+g+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+r+", uv);\n      }\n  "}(e);case 4:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[3],o=n[2]*a,s=n[1]*o,u=k(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=vi(e,l);return"\n      "+t(p)+"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        return "+i+"("+yi(["row","col","depth","depth2"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+a+", 1)));\n        "+mi(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+o+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var g=di(r);return"\n    float "+i+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" +\n          depth * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+m+", index + "+g+");\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 5:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n[4],o=n[3]*a,s=n[2]*o,u=n[1]*s,l=k(n),c=l.newShape,p=l.keptDims;if(c.length<n.length){var h=vi(e,c);return"\n      "+t(h)+"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+i+"("+yi(["row","col","depth","depth2","depth3"],p)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+o+", "+a+")) +\n          depth3;\n        "+mi(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],g=d[1];if(g===u&&null==f)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+s+", "+o+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(g===a&&null==f)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]+",\n               "+n[2]*n[3]+", "+n[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var v=di(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=k(n),o=a.newShape,s=a.keptDims;if(o.length<n.length){var u=vi(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+"("+yi(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var l=n[5],c=n[4]*l,p=n[3]*c,h=n[2]*p,f=n[1]*h;if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+f+", "+h+", "+p+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+l+", 1)));\n        "+mi(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];if(v===f&&null==d)return"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+p+", "+c+", "+l+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(v===l&&null==d)return"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]*n[4]+",\n               "+n[2]*n[3]*n[4]+",\n               "+n[3]*n[4]+",\n               "+n[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var y=di(r);return"\n    float "+i+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+h+" + depth * "+p+" +\n          depth2 * "+c+" + depth3 * "+l+" + depth4 + "+y+";\n      vec2 uv = uvFromFlat("+g+", "+v+", index);\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(t);var i=t.shapeInfo.logicalShape,a=e.logicalShape;return i.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,i=r.charAt(0).toUpperCase()+r.slice(1),a="get"+i+"AtOutCoords",o=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=kr(t.shapeInfo.logicalShape,e.logicalShape),l=gi(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+c]+" = 0;"}).join("\n");var h;h=s<2&&o>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+c]}).join(", ");var f="return outputValue;",d=1===y(t.shapeInfo.logicalShape),m=1===y(e.logicalShape);if(1!==o||d||m){if(d&&!m)f=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?f="return vec4(outputValue.x);":u.indexOf(g)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(v)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+h+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=e.texShape,o=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&b(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=gi(u),c=kr(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&c.length>=1?"coords = 0;":c.map(function(t){return"coords."+h[t+p]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+h[e+p]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),l=e.texShape,c=ai(),p="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+c.texture2D+"(textureSampler, uv).r;\n    }\n  ",h=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    #define isnan(value) isnan_custom(value)\n    "+t.defineSpecialNaN+"\n    bvec4 isnan_custom(vec4 val) {\n      return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n    }\n\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    "+ci+"\n    "+pi+"\n    "+hi+"\n  "}(c);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(b(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(a=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+i[0]+", "+i[1]+"));\n      int index = resTexRC.x * "+i[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2),a=i,o="",s="b, r, c",u=2;u<t.length-1;u++)o="\n      int b"+u+" = index / "+(a*=t[t.length-u-1])+";\n      index -= b"+u+" * "+a+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,i,a,o}(e.logicalShape,l),o="\n    void setOutput(vec4 val) {\n      "+c.output+" = val;\n    }\n  "):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return b(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=oi(["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=oi(["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=oi(["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=oi(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,l),o="\n    void setOutput(float val) {\n      "+c.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(h+=fi),[h,p,o,s,a,u,n].join("\n")}var ci="\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",pi="\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",hi="\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",fi="\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 di(t){return"offset"+t}function mi(t){var e=t.name,n=y(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 gi(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 vi(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function yi(t,e){return e.map(function(e){return t[e]}).join(", ")}var bi=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,d(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var i=t[t.length-1],a=Math.ceil(i/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=gi(l),p=ii("coords",l);if(1===a){var h=gi(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),m="."+f[s-1],g=f.map(function(t){return"int "+t}),v=ii("sourceLocR",s-1).concat("inIdx.r"),y=ii("sourceLocG",s-1).concat("inIdx.g"),b=ii("sourceLocB",s-1).concat("inIdx.b"),w=ii("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",N=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+w.join()+")));",C="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+y.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+w.join()+") : 0.)",E=r?"":"\n      float getBestIndicesAChannel("+g.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+g.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+E+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+m+", sourceLocG"+m+",\n          sourceLocB"+m+", sourceLocA"+m+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+C+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+N+"\n          vec4 candidate = "+C+";\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    "},wi=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,a=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=s-1-t.padInfo.top,c=u-1-t.padInfo.left,p=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},xi=function(t,e,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Tr(t,e),Tr(t,n);var o="0.0";null!=r&&(Tr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(Tr(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    "},Ni=function(t,e,n,r,i,a){this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],Tr(t,e),Tr(t,n);var o="vec4(0.0)";null!=r&&(Tr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(Tr(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    "},Ci=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Tr(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    "},Ei="return a + b;",Si="return a - b;",Ii="return a * b;",ki=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Tr(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    "},Ai=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.outputShape=Tr(e,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===y(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+gi(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=ii("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    "},Ti=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, min, max));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ri=function(){function t(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\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(min), vec4(max)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Di=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    "},Oi=function(t){this.outputShape=[],this.outputShape=$e(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    "},_i=function(t,e){this.usesPackedTextures=!0,this.outputShape=[],this.outputShape=$e(t,e);var n=this.outputShape,r=n.length,i=gi(r),a=ii("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var l=o[e],c="vec2("+o.slice(-2).join()+")",p=o.join(),h="if ("+l+" < "+s[0]+")\n          return getChannel(getT0("+p+"), "+c+");";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        else if ("+l+" < "+s[u]+") {\n          "+l+" -= "+f+";\n          return getChannel(getT"+u+"("+p+"), "+c+");\n        }"}var d=s.length;h+="\n        else {\n          "+l+" -= "+s[s.length-1]+";\n          return getChannel(getT"+d+"("+p+"), "+c+");\n        }",this.userCode="\n      float getValue("+o.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n        if (++"+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n        if (++"+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\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    "},zi=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;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              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    "},Fi=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;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\n        ivec2 dyCorner = coords.yz - 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              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Mi=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    "},Li=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,l=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+l+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Bi=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        // TODO: 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    "},Pi=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            // TODO: 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    "},Vi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.top,n=t.padInfo.left,r=t.strideHeight,i=t.strideWidth,a=t.dilationHeight,o=t.dilationWidth,s=t.filterHeight,u=t.filterWidth,l=4*Math.floor(t.inChannels/4),c=t.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+i+");\n      const ivec2 pads = ivec2("+e+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * 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 < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+a+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+o+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\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              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              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Wi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,a=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterDepth,p=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+c+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ui=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,a=t.strideHeight,o=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+a+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+i+");\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        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+e+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\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        setOutput(dotProd);\n      }\n    "},ji=function(t){this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,a=t.strideHeight,o=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,f="int xR; int xC; int xCOffset;",d=0;d<l;d++)for(var m=0;m<c;m++)f+="\n          vec4 xTexelR"+d+"C"+2*m+" = vec4(0.);\n          vec4 wR"+d+"C"+m+" = vec4(0.);\n          vec4 xR"+d+"C"+m+" = vec4(0.);";for(d=0;d<l;d++)for(var g=0;g<p;g++){if(f+="\n          xR = xRCorner + "+d*s+";\n          xC = xCCorner + "+(m=2*g)*u+";\n        ",1===o){if(m<c&&(f+=i%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+d+"C"+m+" = vec4(previous.zw, xTexelR"+d+"C"+m+".xy);\n                } else {\n                  xR"+d+"C"+m+" = vec4(0, 0, xTexelR"+d+"C"+m+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+e+" && xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = xTexelR"+d+"C"+m+";\n              ",m+1<c)){var v=i%2==0?h(u):u;u%2==0&&i%2==1||u%2!=0&&i%2!=1?(f+="\n                  xCOffset = xC + "+i%2+" + "+v+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",u>1&&(f+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+e+" &&\n                      xCOffset >= 0 && xCOffset < "+n+") {\n                      xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+d+"C"+m+" = vec4(0.);\n                    }\n                  "),f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".xy);\n                "):f+="\n                  xCOffset = xC + "+v+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+d+"C"+(m+1)+" = xTexelR"+d+"C"+(m+2)+";\n                "}}else m<c&&(f+="\n              if(xR >= 0 && xR < "+e+") {\n            ",i%2==1?(f+="\n                xCOffset = xC + 1 - "+o+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n              ",m+1<c&&(f+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+o+";\n                  if(xCOffset >= 0 && xCOffset < "+n+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+d+"C"+(m+1)+" = vec4(xTexelR"+d+"C"+(m+2)+".xy, final.xy);\n                ")):(f+="\n                if(xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+o+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".xy, xTexelR"+d+"C"+(m+2)+".xy);\n              ",m+1<c&&(f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n                ")),f+="}");m<c&&(f+="\n            vec4 wTexelR"+d+"C"+m+" = getW("+d+", "+m+", d1, q);\n            wR"+d+"C"+m+" = vec4(wTexelR"+d+"C"+m+".xz, wTexelR"+d+"C"+m+".xz);\n          ",m+1<c&&(f+="\n              vec4 wTexelR"+d+"C"+(m+1)+" = getW("+d+", "+(m+1)+", d1, q);\n              wR"+d+"C"+(m+1)+" =\n                vec4(wTexelR"+d+"C"+(m+1)+".xz, wTexelR"+d+"C"+(m+1)+".xz);"))}for(d=0;d<l;d++)for(m=0;m<c;m++)f+="result += xR"+d+"C"+m+" * wR"+d+"C"+m+";";this.userCode="\n      const ivec2 strides = ivec2("+a+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+i+");\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 result = vec4(0.);\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},qi=function(t,e,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],o=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[o-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],w=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],N=w[1],C=w[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+N+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+C+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},Gi=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        "+gi(r)+" coords = getOutputCoords();\n        int end = "+Hi(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          "+Hi(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Hi(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 Ki,$i,Xi=function(t,e){this.variableNames=["A"];var n=ai();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+oi(["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    "},Yi=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;var n=ai();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+oi(["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    "},Ji=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}(),Zi=function(t){this.variableNames=["A"];var e=ai();this.outputShape=t,this.userCode="\n      "+ui+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Qi=function(t){this.variableNames=["A"],this.usesPackedTextures=!0;var e=ai();this.outputShape=t,this.userCode="\n      "+ui+"\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    "},ta=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=ai(),i=e[0],a=e[1];this.outputShape=t;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+si(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},ea=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=ai(),i=e[0],a=e[1];this.outputShape=t;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var l=0;l<=1;l++){var c=2*u+l;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+l+" < "+t[2]+") {\n            localCoords[2] += "+l+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n    \n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+c+"] = values[0];\n              } else if(offset == 1) {\n                result["+c+"] = values[1];\n              } else if(offset == 2) {\n                result["+c+"] = values[2];\n              } else {\n                result["+c+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+si(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n        \n        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    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void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},ra=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}(),ia=function(t){this.variableNames=["A"];var e=ai(),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    "},aa=function(t){this.variableNames=["A"];var e=ai(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "},oa=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=gi(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    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i.isQueryAvailable(n,t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):r=function(){return!0};return{query:n,isFencePassed:r}},e.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return Aa(r.gl,r.debug,e,n)})},e.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=jt(e,this.debug,t),r=pa(e,this.debug),i=Kt(e,this.debug);return Mt(e,this.debug,function(){return e.attachShader(i,r)}),Mt(e,this.debug,function(){return e.attachShader(i,n)}),$t(e,this.debug,i),this.debug&&Xt(e,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=xa(e,this.debug,this.program,this.vertexBuffer)),i},e.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Mt(this.gl,this.debug,function(){return e.gl.deleteProgram(t)})},e.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&Xt(this.gl,this.debug,this.program),Mt(this.gl,this.debug,function(){return e.gl.useProgram(t)})},e.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?re(this.gl,this.debug,t,e):ie(this.gl,t,e)},e.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Mt(this.gl,this.debug,function(){return n.gl.getAttribLocation(t,e)})},e.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},e.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),ae(this.gl,this.debug,this.program,t,e,n)},e.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},e.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=ca(e,n),i=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,i,a)},e.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},e.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&Xt(this.gl,this.debug,this.program),ue(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Mt(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Mt(this.gl,this.debug,function(){return t.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=Wt(this.gl,this.debug,2===t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=e.createQuery();return e.beginQuery(n.TIME_ELAPSED_EXT,r),r}var i=this.getQueryTimerExtensionWebGL1(),a=i.createQueryEXT();return i.beginQueryEXT(i.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var n=this.gl,r=this.getQueryTimerExtensionWebGL2();n.endQuery(r.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return i(this,void 0,void 0,function(){var n=this;return a(this,function(r){switch(r.label){case 0:return[4,E(function(){return n.disposed||n.isQueryAvailable(e,t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return r.sent(),[2,this.getQueryTime(e,t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},e.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},e.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},e.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},e.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||E(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),oe(this.gl,this.debug,t,this.framebuffer),this.debug&&ue(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(oe(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&ue(this.gl)):se(this.gl,this.debug,this.framebuffer)},e.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;oe(r,this.debug,t,this.framebuffer),this.debug&&ue(r),this.outputTexture=t,Mt(r,this.debug,function(){return r.viewport(0,0,e,n)}),Mt(r,this.debug,function(){return r.scissor(0,0,e,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),Mt(this.gl,this.debug,function(){return i.gl.scissor(t,e,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function Da(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(!b(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(!b(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Oa=function(t,e,n){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=s.left,h=s.top,f=i*r,d=ai(),m="",g=0;g<=1;g++)for(var v=0;v<=1;v++)m+="\n          blockIndex = rc.y + "+v+";\n          pos = rc.x + "+g+";\n          \n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+h+";\n            d0 = offsetY + "+c+" * (pos / "+f+");\n  \n            if(d0 < "+e[0]+" && d0 >= 0) {\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+p+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+f+".) / "+i+".));\n    \n              if(d1 < "+e[1]+" && d1 >= 0) {\n                innerDims = vec2(d1, int(mod(float(pos), "+i+".)));\n                result["+(2*g+v)+"] = getChannel(getA(d0, 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;\n        vec2 innerDims;\n\n        "+m+"\n\n        "+d.output+" = result;\n      }\n    "},_a=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    "},za=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    "},Fa=function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.usesPackedTextures=!0;var a,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},Ma=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    "},La=function(t,e,n,r,i,a){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===a&&(a=null),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=e;var o=n?t[1]:t[2],s=Math.ceil(o/2),u=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",c=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",f="";a&&(h="vec4 activation(vec4 x) {\n        "+a+"\n      }",f="result = activation(result);");var d=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),this.userCode="\n      "+h+"\n\n      const float sharedDimension = "+s+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+s+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+u+");\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 += ("+c[0]+" * "+p[0]+");\n          result += ("+c[1]+" * "+p[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+d+"\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},Ba=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}(),Pa=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    "},Va=function(t){this.variableNames=["A"],this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=ii("rc",e),r=gi(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      "}},Wa=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=gi(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      "},Ua=function(t,e,n){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=gi(r),a=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=ii("rc",r),u=ii("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+a+");\n      const "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},ja=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var h="avg"===e,f="0.0";if(h||(f="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+a+");\n        const ivec2 pads = ivec2("+c+", "+p+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+a+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float initializationValue = "+f+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+f+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+v+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+v+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},qa=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,i=t.inSize,a=Math.ceil(i/n);this.outputShape=[r,a];var o="0.0",s="";"prod"===e?o="1.0":"min"===e?(o="1.0 / 1e-20",s="min"):"max"===e&&(o="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",h="vec4";"all"===e?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===e&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},Ga=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+oi(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+si(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    "},Ha=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],a=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?i-1:i,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Ka=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},$a=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+",\n          "+u[1]/l[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+o+".0,\n                                     "+o+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n        \n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+"; \n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Xa=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],a=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?i-1:i,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Ya=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],a=t[1],o=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},Ja=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=gi(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      "},Za=function(t,e){this.variableNames=["x"],this.usesPackedTextures=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=ii("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=gi(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    "},Qa=function(t,e,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=gi(i.length),u=gi(a.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},to=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,i=t.inSize,a=t.numSegments,o=a*Math.ceil(i/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";i%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var p="";i%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "},eo=function(t,e,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&o.push(""+a[u]);r=o.join(),i=s.join()}var l=gi(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},no=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=gi(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return ro.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."+ro[e]+" = start["+e+"] + coords."+ro[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}(),ro=["x","y","z","w","u","v"],io=function(){function t(t){this.variableNames=["source"],this.usesPackedTextures=!0,this.outputShape=t,this.rank=t.length;var e=gi(this.rank),n=ii("coords",this.rank),r=ii("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}(),ao=function(t,e,n,r){this.variableNames=["x"];var i=n.filter(function(t,e){return-1===r.indexOf(e)});this.outputShape=i;var a=n.length,o=gi(n.length),s=gi(i.length),u="";if(1===a)u="coords * strides + begin";else{var l=0;u=n.map(function(t,e){return-1===r.indexOf(e)?(l++,1===i.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(l-1)+"] * strides["+e+"] + begin["+e+"]"):"begin["+e+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "},oo=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=so(e,n),a=uo(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===$i.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===$i.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===$i.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===$i.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===$i.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=uo(e,so(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 so(e,n){if(e===Ki.UPLOAD)return $i.PACKED_2X2_FLOAT32;if(e===Ki.RENDER||null==e)return n?t.ENV.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?$i.PACKED_2X2_FLOAT32:$i.PACKED_2X2_FLOAT16:t.ENV.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?$i.UNPACKED_FLOAT32:$i.UNPACKED_FLOAT16;if(e===Ki.DOWNLOAD||e===Ki.PIXELS)return $i.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function uo(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var lo=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=gi(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    "},co=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=gi(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    "},po=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var i=gi(this.rank),a=ri("rc",this.rank),o=new Array(this.rank);for(r=0;r<e.length;r++)o[e[r]]=a[r];var s="vec2("+o.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+u+") {\n        result[1] = "+l+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+l+";\n        if("+u+") {\n          result[3] = "+l+";\n        }\n      }  \n      setOutput(result);\n    }\n    "},ho=1.7580993408473768,fo=1.0507009873554805,mo=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    "},go="if (isnan(x)) return x;",vo=go+"\n  return (x < 0.0) ? 0.0 : x;\n",yo="return exp(x);",bo="\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",wo=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},xo=function(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;var e=t.length,n=ii("rc",e),r=gi(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    "},No={},Co=600,Eo=function(){function e(e){if(this.gpgpu=e,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.disposed=!1,!t.ENV.getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var n=zt(t.ENV.getNumber("WEBGL_VERSION"));this.binaryCache=(r=t.ENV.getNumber("WEBGL_VERSION"))in No?No[r]:(No[r]={},No[r]),this.gpgpu=new Ra(n),this.canvas=n.canvas,this.gpgpuCreatedLocally=!0}else this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;var r;this.textureManager=new oo(this.gpgpu),this.numMBBeforeWarning=null==t.ENV.global.screen?1024:t.ENV.global.screen.height*t.ENV.global.screen.width*window.devicePixelRatio*Co/1024/1024,this.texData=new Sr(this,Tt)}return e.prototype.register=function(t,e,n){if(this.texData.has(t))throw new Error("Data buffer is already registered");this.texData.set(t,{shape:e,dtype:n})},e.prototype.fromPixels=function(e,n){if(null==e)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var r=[e.height,e.width],i=[e.height,e.width,n],a="undefined"!=typeof OffscreenCanvas&&e instanceof OffscreenCanvas||"undefined"!=typeof HTMLCanvasElement&&e instanceof HTMLCanvasElement,o=e.data instanceof Uint8Array,s="undefined"!=typeof ImageData&&e instanceof ImageData,u="undefined"!=typeof HTMLVideoElement&&e instanceof HTMLVideoElement,l="undefined"!=typeof HTMLImageElement&&e instanceof HTMLImageElement;if(!(a||o||s||u||l))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 "+e.constructor.name);if(l||u){if(null==this.fromPixels2DContext){if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.browser.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixels2DContext=Ft(t.ENV.getNumber("WEBGL_VERSION")).getContext("2d")}this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),e=this.fromPixels2DContext.canvas}var c,p,h=this.makeTensorHandle(r,"int32");if(this.texData.get(h.dataId).usage=Ki.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(h.dataId),e),t.ENV.getBool("WEBGL_PACK")){c=new aa(i);var f=this.makePackedTensor(c.outputShape,h.dtype);p=this.compileAndRun(c,[h],f)}else c=new ia(i),p=this.compileAndRun(c,[h]);return this.disposeData(h.dataId),p},e.prototype.makeTensorHandle=function(t,e){var n={};return this.register(n,t,e),{dataId:n,shape:t,dtype:e}},e.prototype.write=function(e,n){if(null==n)throw new Error("MathBackendWebGL.write(): values can not be null");if(t.ENV.getBool("DEBUG"))for(var r=0;r<n.length;r++){var i=n[r];if(!Pt(i))throw Error("The value "+i+" cannot be represented on this device.")}var a=this.texData.get(e);if("complex64"===a.dtype)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.releaseGPUData(e),a.usage=Ki.UPLOAD,a.values=n},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;if(null!=a){var s=new mo(o,"return x;"),u=this.compileAndRun(s,[{dataId:t,shape:o,dtype:r}]),l=this.readSync(u.dataId);return u.dispose(),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var c,p,h=null!=this.activeTimers;return h&&(c=$()),p="complex64"===r?qr(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),h&&(this.downloadWaitMs+=$()-c),this.convertAndCacheOnCPU(t,p)},e.prototype.read=function(e){return i(this,void 0,void 0,function(){var n,r,i,o,s,u,l,c,p,h,f,d,m,g,v,b,w,x,N,C,E;return a(this,function(a){switch(a.label){case 0:if(this.pendingRead.has(e))return r=this.pendingRead.get(e),[2,new Promise(function(t){return r.push(t)})];if(i=this.texData.get(e),o=i.values,s=i.shape,u=i.slice,l=i.dtype,c=i.complexTensors,null!=u)return p=new mo(s,"return x;"),h=this.compileAndRun(p,[{dataId:e,shape:s,dtype:l}]),f=this.read(h.dataId),h.dispose(),[2,f];if(null!=o)return[2,this.convertAndCacheOnCPU(e)];if(!t.ENV.getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===t.ENV.getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return d=null,"complex64"!==l&&t.ENV.get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),e=m.dataId,g=this.texData.get(m.dataId),d=(n=this.gpgpu).createBufferFromTexture.apply(n,[g.texture].concat(la(s)))),this.pendingRead.set(e,[]),"complex64"===l?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:a.sent(),a.label=2;case 2:return"complex64"!==l?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return b=a.sent(),w=b[0],x=b[1],v=qr(w,x),[3,5];case 4:null==d?v=this.getValuesFromTexture(e):(N=y(s),v=this.gpgpu.downloadFloat32MatrixFromBuffer(d,N),this.disposeData(e)),a.label=5;case 5:return C=this.convertAndCacheOnCPU(e,v),E=this.pendingRead.get(e),this.pendingRead.delete(e),E.forEach(function(t){return t(C)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,C]}})})},e.prototype.getValuesFromTexture=function(e){var n,r=this,i=this.texData.get(e),a=i.shape,o=i.dtype,s=i.isPacked,u=y(a);if(t.ENV.getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var l=this.decode(e),c=this.texData.get(l.dataId),p=(n=this.gpgpu).downloadMatrixFromPackedTexture.apply(n,[c.texture].concat(la(a))).subarray(0,u);return this.disposeData(l.dataId),p}var h=t.ENV.getBool("WEBGL_PACK")&&!0===s,f=h?de(a):a,d=this.makeTensorHandle(f,"float32");d.size=y(a),this.texData.get(d.dataId).usage=Ki.DOWNLOAD;var m=Re(function(){var t=h?new Qi(f):new Zi(f);return r.compileAndRun(t,[{shape:f,dtype:o,dataId:e}],d,null)}),g=this.texData.get(m.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,u);return this.disposeData(d.dataId),v},e.prototype.time=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,o,s,u;return a(this,function(a){switch(a.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=v(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),o=v(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),[4,Promise.all(i)];case 1:return s=a.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:f(s),getExtraProfileInfo:function(){return s.map(function(t,e){return{name:o[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:$(),endMs:null}},e.prototype.endTimer=function(e){return t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=$(),e)},e.prototype.getQueryTime=function(e){return i(this,void 0,void 0,function(){var n;return a(this,function(r){return t.ENV.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(n=e).endMs-n.startMs]})})},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t))if(this.pendingRead.has(t))this.pendingDisposal.add(t);else if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}},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,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getCPUBackend=function(){return t.ENV.getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Tt.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.makeOutputArray(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Tt.keep(t.clone()),imag:Tt.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(e,n,r){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,n,r);if(0===y(r))return Qe([],r,e.dtype);var i=this.texData.get(e.dataId).isPacked,a=yr(e.shape,n,r);if(i||!a){var o=t.ENV.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new io(r):new no(r),s=o.getCustomSetupFunc(n);return this.compileAndRun(o,[e],null,s)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,n,r)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=ht.make(n,{},t.dtype,this),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var o=br(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,i,a,o,s,u){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r,i,a,o,s,u);var l=mr(t.shape,e,n,r,i,a,o,s,u),c=l[0],p=l[1],h=l[2],f=p.filter(function(t,e){return-1===h.indexOf(e)});if(f.some(function(t){return 0===t}))return Qe([],f);var d=new ao(c,r,p,h);return this.compileAndRun(d,[t])},e.prototype.reverse=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Za(e.shape,n):new Ja(e.shape,n);return this.compileAndRun(r,[e])},e.prototype.concat=function(e,n){if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,n);if(1===e.length)return e[0];if(e.length>t.ENV.getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var r=Math.floor(e.length/2),i=this.concat(e.slice(0,r),n),a=this.concat(e.slice(r),n);return this.concat([i,a],n)}if(t.ENV.getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var o=new _i(e.map(function(t){return t.shape}),n);return this.compileAndRun(o,e)}var s=$e(e.map(function(t){return t.shape}),n),u=e.map(function(t){return t.as2D(-1,y(t.shape.slice(n)))}),l=new Oi(u.map(function(t){return t.shape}));return this.compileAndRun(l,u).reshape(s)},e.prototype.neg=function(t){var e=new mo(t.shape,"return -x;");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),l=1===a?2:1,c=1===a?e.as3D(s,1,o):e;return this.multiply(u,c).sum(l,!0)}var p=wt(t.dtype,e.dtype),h=new La(t.shape,[s,i,a],n,r),f=this.makePackedTensor(h.outputShape,p);return this.compileAndRun(h,[t,e],f)},e.prototype.fusedBatchMatMul=function(t,e,n,r,i,a){var o=n?t.shape[2]:t.shape[1],s=r?e.shape[1]:e.shape[2],u=t.shape[0],l=wt(t.dtype,e.dtype),c=new La(t.shape,[u,o,s],n,r,!!i,a?function(t,e){if(void 0===e&&(e=!1),"linear"===t)return"return x;";if("relu"===t)return e?bo:vo;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}(a,!0):null),p=this.makePackedTensor(c.outputShape,l),h=[t,e];return i&&h.push(i),this.compileAndRun(c,h,p)},e.prototype.multiply=function(e,n){if("complex64"===e.dtype){var r=this.texData.get(e.dataId),i=this.texData.get(n.dataId),a=new Ci("return areal * breal - aimag * bimag;",e.shape,n.shape),o=new Ci("return areal * bimag + aimag * breal;",e.shape,n.shape),s=[this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag),this.makeComplexComponentTensorHandle(n,i.complexTensors.real),this.makeComplexComponentTensorHandle(n,i.complexTensors.imag)],u=this.compileAndRun(a,s),l=this.compileAndRun(o,s),c=this.complex(u,l);return u.dispose(),l.dispose(),c}if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.multiply(e,n);if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,Ii,e.dtype);var p=new ki(Ii,e.shape,n.shape),h=this.makeOutputArray(p.outputShape,e.dtype);return this.compileAndRun(p,[e,n],h)},e.prototype.batchNormalization=function(e,n,r,i,a,o){var s=[e,n,r],u=null;null!=o&&(u=o.shape,s.push(o));var l=null;if(null!=a&&(l=a.shape,s.push(a)),t.ENV.getBool("WEBGL_PACK_NORMALIZATION")){var c=new Ni(e.shape,n.shape,r.shape,u,l,i);return this.compileAndRun(c,s)}var p=new xi(e.shape,n.shape,r.shape,u,l,i);return this.compileAndRun(p,s)},e.prototype.localResponseNormalization4D=function(e,n,r,i,a){var o=t.ENV.getBool("WEBGL_PACK_NORMALIZATION")?new Fa(e.shape,n,r,i,a):new _a(e.shape,n,r,i,a);return this.compileAndRun(o,[e])},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){var s=new za(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 Z(t)});return Jr(_n(t.shape,t.dtype,n),e)}var r=new lo(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(e,n,r){var i=t.ENV.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ua(e.shape,n,r):new Wa(e.shape,n,r);return this.compileAndRun(i,[e])},e.prototype.transpose=function(e,n){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.transpose(e,n);var r=t.ENV.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new po(e.shape,n):new co(e.shape,n);return this.compileAndRun(r,[e])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new oa(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){d(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=or(t.shape,e,r),a=sr(i.length,e.length),o=ur(t.shape,e,r),s=lr(n,e.length),u=cr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){d(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=or(o.shape,e,r,!1),u=sr(s.length,e.length,!1),l=ur(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],a=fr(i),o=new qa({windowSize:a,inSize:i,batchSize:r},e),s=o.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(o,[t],c),1===c.shape[1]?c:this.reduce(c,e,n)},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=fr(i),o=new ni({windowSize:a,inSize:i,batchSize:r},e,null==n),s=o.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],"int32"),p=[t];return null!=n&&p.push(n),this.compileAndRun(o,p,c),1===c.shape[1]?c:this.argReduce(t,e,c)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=fr(r[r.length-1]),a=new bi(r,i,e,null==n),o=this.makePackedTensor(a.outputShape,"int32"),s=null==n?[t]:[t,n];return this.compileAndRun(a,s,o),o.rank===t.rank?this.argReducePacked(t,e,o):o},e.prototype.sum=function(t,e){je("sum",e,t.rank);var n=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i),o=xt(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=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i),o=xt(t.dtype);return this.reduce(a,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=qe([r],t.rank),a=t;null!=i&&(a=t.transpose(i),r=He(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=y([a.shape[r]]),u=a.as2D(-1,s),l=xt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(o);return null!=i&&(c=c.transpose(Ge(i))),c},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<=hr?(n=t,r=!0):n=U(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=U(t,n+1);return n}(o,i),u=new to({windowSize:s,inSize:o,batchSize:a,numSegments:i},e),l=u.outputShape,c=l[0],p=l[1],h=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[t,n],h),h.shape[1]===i?h:(n=fn(0,i).tile([o/s]),this.segOpCompute(h,e,n,r,i))},e.prototype.argMinMaxReduce=function(e,n,r){var i=[n];if(je("arg"+r.charAt(0).toUpperCase()+r.slice(1),i,e.rank),!t.ENV.getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var a=We(e.shape,i),o=a[0],s=y(a[1]),u=e.as2D(-1,s);return this.argReduce(u,r).reshape(o)}return this.argReducePacked(e,r)},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 Gi(t.shape,n,r);return this.compileAndRun(i,[t])},e.prototype.equal=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(equal(a, b));\n","bool");var r=new ki("return float(a == b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.notEqual=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(notEqual(a, b));\n","bool");var r=new ki("return float(a != b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.less=function(e,n){if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.less(e,n);if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(lessThan(a, b));\n","bool");var r=new ki("return float(a < b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.lessEqual=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(lessThanEqual(a, b));\n","bool");var r=new ki("return float(a <= b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.greater=function(e,n){if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.greater(e,n);if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(greaterThan(a, b));\n","bool");var r=new ki("return float(a > b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.greaterEqual=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var r=new ki("return float(a >= b);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.logicalNot=function(t){var e=new mo(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var r=new ki("return float(a >= 1.0 && b >= 1.0);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.logicalOr=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var r=new ki("return float(a >= 1.0 || b >= 1.0);",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"bool");return this.compileAndRun(r,[e,n],i)},e.prototype.select=function(t,e,n){var r=new eo(t.rank,e.shape,e.rank),i=this.makeOutputArray(r.outputShape,wt(e.dtype,n.dtype));return this.compileAndRun(r,[t,e,n],i)},e.prototype.where=function(t){ze("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Qr(t.shape,e)},e.prototype.topk=function(t,e,n){return Zr(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){je("min",e,t.rank);var n=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(e,n){if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.minimum(e,n);var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\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",e.shape,n.shape):new ki("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.mod=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\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",e.shape,n.shape):new ki("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);je("max",e,t.rank);var n=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(e,n){if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.maximum(e,n);var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\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",e.shape,n.shape):new ki("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.all=function(t,e){je("all",e,t.rank);var n=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){je("any",e,t.rank);var n=We(t.shape,e),r=n[0],i=y(n[1]),a=t.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.squaredDifference=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("return (a - b) * (a - b);",e.shape,n.shape):new ki("return (a - b) * (a - b);",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.realDivide=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(b.x == 0.0) {\n    result.x = NAN;\n  } else if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(b.y == 0.0) {\n    result.y = NAN;\n  } else if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(b.z == 0.0) {\n    result.z = NAN;\n  } else if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(b.w == 0.0) {\n    result.w = NAN;\n  } else if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n","float32",!0);var r=new ki("\nif (b == 0.0) {\n  return NAN;\n}\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"float32");return this.compileAndRun(r,[e,n],i)},e.prototype.floorDiv=function(e,n){if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,"\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 r=new ki("\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",e.shape,n.shape),i=this.makeOutputArray(r.outputShape,"int32");return this.compileAndRun(r,[e,n],i)},e.prototype.add=function(e,n){if("complex64"===e.dtype&&"complex64"===n.dtype)return this.complexSeparableBinaryOp(e,n,Ei);if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.add(e,n);var r=wt(e.dtype,n.dtype);if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,Ei,r);var i=new ki(Ei,e.shape,n.shape),a=this.makeOutputArray(i.outputShape,r);return this.compileAndRun(i,[e,n],a)},e.prototype.packedBinaryOp=function(t,e,n,r,i){void 0===i&&(i=!1);var a=new Ai(n,t.shape,e.shape,i),o=this.makePackedTensor(a.outputShape,r);return this.compileAndRun(a,[t,e],o)},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.makeComplexComponentTensorHandle(t,a),u=r.makeComplexComponentTensorHandle(e,o),l=new ki(n,t.shape,e.shape),c=r.makeOutputArray(l.outputShape,wt(a.dtype,o.dtype));return r.compileAndRun(l,[s,u],c)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(e){if(1===e.length)return e[0];if(e.length>t.ENV.get("WEBGL_MAX_TEXTURES_IN_SHADER")){var n=Math.floor(e.length/2),r=this.addN(e.slice(0,n)),i=this.addN(e.slice(n));return this.addN([r,i])}var a=e.map(function(t){return t.dtype}).reduce(function(t,e){return wt(t,e)}),o=e.map(function(t){return t.shape}),s=t.ENV.getBool("WEBGL_PACK"),u=s?new ei(e[0].shape,o):new ti(e[0].shape,o),l=s?this.makePackedTensor(u.outputShape,a):this.makeOutputArray(u.outputShape,a);return this.compileAndRun(u,e,l)},e.prototype.subtract=function(e,n){if("complex64"===e.dtype&&"complex64"===n.dtype)return this.complexSeparableBinaryOp(e,n,Si);if(this.shouldExecuteOnCPU([e,n]))return this.cpuBackend.subtract(e,n);var r=wt(e.dtype,n.dtype);if(t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,n,Si,e.dtype);var i=new ki(Si,e.shape,n.shape),a=this.makeOutputArray(i.outputShape,r);return this.compileAndRun(i,[e,n],a)},e.prototype.pow=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS"),i=r?new Ai("\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",e.shape,n.shape):new ki("\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",e.shape,n.shape),a=wt(e.dtype,n.dtype),o=r?this.makePackedTensor(i.outputShape,a):this.makeOutputArray(i.outputShape,a);return this.compileAndRun(i,[e,n],o)},e.prototype.ceil=function(t){var e=new mo(t.shape,"return ceil(x);");return this.compileAndRun(e,[t])},e.prototype.floor=function(t){var e=new mo(t.shape,"return floor(x);");return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new mo(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 mo(t.shape,"return float(isnan(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},e.prototype.isInf=function(t){var e=new mo(t.shape,"return float(isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},e.prototype.isFinite=function(t){var e=new mo(t.shape,"return float(!isnan(x) && !isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},e.prototype.round=function(t){var e=new mo(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(e){var n;return n=t.ENV.getBool("WEBGL_PACK")?new wo(e.shape,yo):new mo(e.shape,yo),this.compileAndRun(n,[e])},e.prototype.expm1=function(t){var e=new mo(t.shape,"return exp(x) - 1.0;");return this.compileAndRun(e,[t])},e.prototype.log=function(e){var n;return n=t.ENV.getBool("WEBGL_PACK")?new wo(e.shape,"\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"):new mo(e.shape,"if (x < 0.0) return NAN;\n  return log(x);"),this.compileAndRun(n,[e])},e.prototype.log1p=function(t){var e=new mo(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new mo(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 mo(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.square=function(t){var e=new mo(t.shape,"return x * x;");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new mo(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(e){var n;return n=t.ENV.getBool("WEBGL_PACK")?new wo(e.shape,bo):new mo(e.shape,vo),this.compileAndRun(n,[e])},e.prototype.prelu=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",e.shape,n.shape):new ki("return (a < 0.) ? b * a : a;",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.elu=function(t){var e=new mo(t.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(e,[t])},e.prototype.eluDer=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",e.shape,n.shape):new ki("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.selu=function(t){var e=new mo(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 mo(t.shape,"return float(int(x));"),n=this.makeOutputArray(e.outputShape,"int32");return this.compileAndRun(e,[t],n)},e.prototype.clip=function(e,n,r){var i,a=(i=t.ENV.getBool("WEBGL_PACK_CLIP")?new Ri(e.shape):new Ti(e.shape)).getCustomSetupFunc(n,r);return this.compileAndRun(i,[e],null,a)},e.prototype.abs=function(t){var e=new mo(t.shape,"return abs(x);");return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Di(t.shape),r=[this.makeComplexComponentTensorHandle(t,e.complexTensors.real),this.makeComplexComponentTensorHandle(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new mo(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new mo(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 mo(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 mo(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 mo(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new mo(t.shape,"return asin(x);");return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new mo(t.shape,"return acos(x);");return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new mo(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan2=function(e,n){var r=t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ai("\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",e.shape,n.shape):new ki("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",e.shape,n.shape);return this.compileAndRun(r,[e,n])},e.prototype.sinh=function(t){var e=new mo(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 mo(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 mo(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 mo(t.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new mo(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 mo(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 mo(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 t = 1.0 / (1.0 + p * x);\n  return 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 mo(t.shape,function(t){return void 0===t&&(t=0),go+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(e,n,r){var i=e.shape,a=this.texData.get(e.dataId),o=r.inChannels,s=i[0]*i[1]*i[2],u=r.outChannels,l=(1===s||1===u)&&o>1e3,c=i[2]%2!=0&&!!a.isPacked;if(l||!t.ENV.getBool("WEBGL_LAZILY_UNPACK")||!t.ENV.getBool("WEBGL_PACK_BINARY_OPERATIONS")||!c){var p=this.reshape(e,[1,i[0]*i[1]*i[2],r.inChannels]),h=this.reshape(n,[1,r.inChannels,r.outChannels]);return this.reshape(this.batchMatMul(p,h,!1,!1),r.outShape)}var f=ht.make([1,i[0]*i[1]*(i[2]+1),r.inChannels],{dataId:e.dataId},e.dtype,this),m=a.shape;a.shape=a.shape.slice(),a.shape[a.shape.length-2]++,d(ve(a.shape,f.shape),function(){return"packed reshape "+a.shape+" to "+f.shape+" isn't free"});var g=this.reshape(n,[1,r.inChannels,r.outChannels]),v=this.batchMatMul(f,g,!1,!1),y=this.texData.get(v.dataId);return d(y.isPacked,function(){return"batchMatMul result is expected to be packed"}),a.shape=m,y.shape=r.outShape,ht.make(r.outShape,{dataId:v.dataId},v.dtype,this)},e.prototype.conv2dWithIm2Row=function(t,e,n){var r=n.filterWidth,i=n.filterHeight,a=n.inChannels,o=n.outWidth,s=n.outHeight,u=r*i*a,l=s*o,c=[u,l],p=t.squeeze([0]),h=e.reshape([1,u,-1]),f=new Oa(c,p.shape,n),d=this.compileAndRun(f,[p]).reshape([1,c[0],c[1]]),m=new La(d.shape,[1,l,n.outChannels],!0,!1);return this.compileAndRun(m,[d,h]).reshape([1,s,o,n.outChannels])},e.prototype.conv2d=function(e,n,r){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);if(t.ENV.getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r);var i=new Vi(r);return this.compileAndRun(i,[e,n])},e.prototype.conv2dDerInput=function(t,e,n){var r=new Fi(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new zi(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2D=function(e,n,r){var i;return t.ENV.getBool("WEBGL_PACK_DEPTHWISECONV")&&r.strideWidth<=2&&r.outChannels/r.inChannels==1?(i=new ji(r),this.compileAndRun(i,[e,n],this.makePackedTensor(r.outShape,e.dtype))):(i=new Ui(r),this.compileAndRun(i,[e,n]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Pi(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Bi(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new Wi(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new Li(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new Mi(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new ja(e,"max",!1),r=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[t],r)},e.prototype.avgPool=function(t,e){var n=new ja(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},e.prototype.maxPoolBackprop=function(t,e,n,r){var i=new ja(r,"max",!0),a=this.compileAndRun(i,[e]),o=new Ma(r),s=this.makeOutputArray(o.outputShape,e.dtype),u=this.compileAndRun(o,[t,a],s);return a.dispose(),u},e.prototype.avgPoolBackprop=function(t,e,n){var r=new wi(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},e.prototype.cast=function(t,e){return Vr(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.reshape=function(t,e){var n=this.texData.get(t.dataId);return!n.isPacked||ve(t.shape,e)||null!==n.texture&&ve(n.shape,e)?Wr(t,e):this.packedReshape(t,e)},e.prototype.resizeBilinear=function(e,n,r,i){var a=t.ENV.getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new $a(e.shape,n,r,i):new Ka(e.shape,n,r,i);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Ha(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new Ya(t.shape,e,n,r);return this.compileAndRun(i,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Xa(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var i=e?t:Cr(t),a=i.shape[0],o=i.shape[1],s=new Ba(a,o,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],u,l)},e.prototype.oneHot=function(t,e,n,r){var i=new Pa(t.size,e,n,r);return this.compileAndRun(i,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return ze("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),$r(t.dataSync(),e.dataSync(),n,r,i)},e.prototype.cropAndResize=function(t,e,n,r,i,a){var o=new qi(t.shape,e.shape,r,i,a);return this.compileAndRun(o,[t,e,n])},e.prototype.depthToSpace=function(t,e,n){d(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,l=o/(e*e),c=new Ji("NHWC"===n?[r,s,u,l]:[r,l,s,u],e,n);return this.compileAndRun(c,[t])},e.prototype.split=function(t,e,n){return Yr(t,e,n)},e.prototype.scatterND=function(t,e,n){var r=dr(0,t,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/o,o],c=t.reshape([a,i]),p=e.reshape([a,o]);if(0===u)return Wr(Qe([]),n);var h=en(0),f=new Qa(a,i,c.rank,p.rank,s,l);return this.compileAndRun(f,[p,c,h]).reshape(n)},e.prototype.sparseToDense=function(t,e,n,r){var i=dr(0,t,n),a=i.sliceRank,o=i.numUpdates,s=i.strides,u=i.outputSize,l=new Qa(o,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(l,[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 na("return real * expR - imag * expI;",t.shape,e),i=new na("return real * expI + imag * expR;",t.shape,e),a=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(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=pr(t,e),a=i[0],o=i[1],s=i[2],u=i[3],l=e.reshape([o,r]),c=t.reshape([t.size/s,s]),p=new sa(r,u,[o,s]);return this.compileAndRun(p,[c,l]).reshape(a)},e.prototype.fill=function(t,e,n){if("string"===(n=n||V(e))){var r=T(n,y(t));return r.fill(e),ht.make(t,{values:r},n)}var i=new ra(t,e),a=i.getCustomSetupFunc(e),o=this.makeOutputArray(t,n);return this.compileAndRun(i,[],o,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 Ur(t,e,n)},e.prototype.makeOutputArray=function(t,e){return ht.make(t,{},e,this)},e.prototype.makePackedTensor=function(t,e){var n=ht.make(t,{},e,this);return this.texData.get(n.dataId).isPacked=!0,n},e.prototype.unpackTensor=function(t){var e=new xo(t.shape);return this.compileAndRun(e,[t],ht.make(e.outputShape,{},t.dtype,this))},e.prototype.packTensor=function(t){var e=new Va(t.shape);return this.compileAndRun(e,[t],this.makePackedTensor(t.shape,t.dtype),null,!0)},e.prototype.packedReshape=function(t,e){var n=t.reshape([he(t.shape)].concat(fe(t.shape))),r=[he(e)].concat(fe(e)),i=new Ga(r,n.shape);return this.compileAndRun(i,[n]).reshape(e)},e.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,i=n.shape,a=n.dtype,o=de(i),s=la(i),u=this.makeTensorHandle(i,"float32");return this.texData.get(u.dataId).isPacked=!0,this.texData.get(u.dataId).dtype=a,this.texData.get(u.dataId).texShape=s.map(function(t){return 2*t}),e=r?new Yi(o,s):new Xi(o,s),this.compileAndRun(e,[{shape:o,dtype:a,dataId:t}],u,null,!0),u},e.prototype.compileAndRun=function(e,n,r,i,a){var o=this;if(void 0===a&&(a=!1),null==r&&(r=e.usesPackedTextures?this.makePackedTensor(e.outputShape,n[0].dtype):this.makeOutputArray(e.outputShape,n[0].dtype)),0===r.size)return this.texData.get(r.dataId).values=A(r.dtype,0),r;var s=n.map(function(n){if("complex64"===n.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var r=o.texData.get(n.dataId);if(null==r.texture){if(!e.usesPackedTextures&&y(n.shape)<=t.ENV.getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:n.shape,texData:null,isUniform:!0,uniformValues:r.values};e.usesPackedTextures&&(r.isPacked=!0,r.shape=n.shape)}else if(!!r.isPacked!=!!e.usesPackedTextures)n=r.isPacked?o.unpackTensor(n):o.packTensor(n),r=o.texData.get(n.dataId);else if(r.isPacked&&!ve(r.shape,n.shape)){var i=n,a=n.shape;n.shape=r.shape,n=o.packedReshape(n,a),r=o.texData.get(n.dataId),i.shape=a}return o.uploadToGPU(n.dataId),{shape:n.shape,texData:r,isUniform:!1}});this.uploadToGPU(r.dataId);var u,l={shape:r.shape,texData:this.texData.get(r.dataId),isUniform:!1},c=function(t,e,n){var r="";s.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}(e,0,l),p=this.getAndSaveBinary(c,function(){return function(e,n,r,i){var a=n.userCode,o=r.map(function(t,e){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:n.variableNames[e],shapeInfo:r}}),s=o.map(function(t){return t.shapeInfo}),u={logicalShape:i.shape,texShape:i.texData.texShape,isUniform:!1,isPacked:i.texData.isPacked,flatOffset:null},l=li(o,u,a,n.usesPackedTextures),c=e.createProgram(l),p=null,h=e.getUniformLocation(c,"NAN",!1);1===t.ENV.getNumber("WEBGL_VERSION")&&(p=e.getUniformLocation(c,"INFINITY",!1));for(var f={},d=0;d<n.variableNames.length;d++){var m=n.variableNames[d];f[m]=e.getUniformLocation(c,m,!1),f["offset"+m]=e.getUniformLocation(c,"offset"+m,!1)}return{program:n,source:l,webGLProgram:c,uniformLocations:f,inShapeInfos:s,outShapeInfo:u,infLoc:p,nanLoc:h}}(o.gpgpu,e,s,l)}),h=null!=this.activeTimers;return h&&(u=this.startTimer()),function(e,n,r,i,a){Da(n.inShapeInfos,r),Da([n.outShapeInfo],[i]);var o=i.texData.texture,s=i.texData.texShape;i.texData.isPacked?e.setOutputPackedMatrixTexture(o,s[0],s[1]):e.setOutputMatrixTexture(o,s[0],s[1]),e.setProgram(n.webGLProgram),1===t.ENV.getNumber("WEBGL_VERSION")&&null!==n.infLoc&&e.gl.uniform1f(n.infLoc,1/0),null!==n.nanLoc&&e.gl.uniform1f(n.nanLoc,NaN),r.forEach(function(t,r){var i=n.program.variableNames[r],a=n.uniformLocations[i],o=n.uniformLocations["offset"+i];if(null!=a)if(t.isUniform)if(y(t.shape)<2)e.gl.uniform1f(a,t.uniformValues[0]);else{var s=t.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),e.gl.uniform1fv(a,s)}else null!=t.texData.slice&&null!=o&&e.gl.uniform1i(o,t.texData.slice.flatOffset),e.setInputMatrixTexture(t.texData.texture,a,r)}),null!=a&&a(e,n.webGLProgram),e.executeProgram()}(this.gpgpu,p,s,l,i),h&&(u=this.endTimer(u),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(u)})),!t.ENV.getBool("WEBGL_LAZILY_UNPACK")&&this.texData.get(r.dataId).isPacked&&!1===a?this.unpackTensor(r):r},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(){this.disposed||(this.textureManager.dispose(),null!=this.canvas&&null!=this.canvas.remove?this.canvas.remove():this.canvas=null,null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)},e.prototype.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Re(function(){var n=t.ENV.getBool("DEBUG");t.ENV.set("DEBUG",!1);var r=e.abs(en(1e-8)).dataSync()[0];return t.ENV.set("DEBUG",n),r>0?32:16})),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 l,c=null!=this.activeTimers;c&&(l=$());var p=n.texShape;if(null==p&&(p=me(r,u),n.texShape=p),null!=a){var h=de(r),f=void 0,d=p[1],m=p[0],g=a instanceof Uint8Array;u?(d=(e=ca(p[0],p[1]))[0],m=e[1],f=new ea(h,[m,d],g)):f=new ta(h,[m,d],g);var v=this.makeTensorHandle([m,d],i);this.texData.get(v.dataId).usage=g?Ki.PIXELS:Ki.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(v.dataId),d,m,a);var b=this.makeTensorHandle(f.outputShape,v.dtype);b.size=y(f.outputShape),this.texData.get(b.dataId).isPacked=u,this.compileAndRun(f,[v],b);var w=this.texData.get(b.dataId);n.texture=w.texture,n.texShape=w.texShape,n.isPacked=w.isPacked,n.usage=w.usage,this.disposeData(v.dataId),this.texData.delete(b.dataId),n.values=null,c&&(this.uploadWaitMs+=$()-l)}else{var x=this.acquireTexture(p,s,i,u);n.texture=x}}},e.prototype.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.dtype;return this.releaseGPUData(t),null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){for(var n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length),r=0;r<n.length;++r)n[r]=Math.round(t[r]);return n}throw new Error("Unknown dtype "+e)}(e,r)),n.values},e.prototype.acquireTexture=function(t,e,n,r){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var 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o[e]=t.shape[e]-1-o[e]}),n.set.apply(n,[r.get.apply(r,o)].concat(a))},a=0;a<n.size;a++)i(a);return n.toTensor()},e.prototype.concat=function(t,e){var n=this;this.assertNotComplex(t,"concat");var r=t.map(function(t){var n=y(t.shape.slice(e));return t.as2D(-1,n)}),i=$e(r.map(function(t){return t.shape}),1),a=_n(i,t[0].dtype).values;if(1===r[0].shape[0]){var o=0;r.forEach(function(t){a.set(n.readSync(t.dataId),o),o+=t.size})}else{var s=0;r.forEach(function(t){for(var e=n.readSync(t.dataId),r=0,o=0;o<t.shape[0];++o)for(var u=o*i[1]+s,l=0;l<t.shape[1];++l)a[u+l]=e[r++];s+=t.shape[1]})}var u=$e(t.map(function(t){return t.shape}),e);return Qe(a,u,t[0].dtype)},e.prototype.neg=function(t){return this.assertNotComplex(t,"neg"),this.multiply(en(-1),t)},e.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t+n,imag:e+r}}):this.broadcastedBinaryOp(t,e,wt(t.dtype,e.dtype),function(t,e){return t+e})},e.prototype.addN=function(t){var e=this;this.assertNotComplex(t,"addN");for(var n=t.map(function(t){return e.readSync(t.dataId)}),r=_n(t[0].shape,t[0].dtype),i=r.values,a=0;a<t.length;a++)for(var o=n[a],s=0;s<i.length;s++)i[s]+=o[s];return r.toTensor()},e.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t-n,imag:e-r}}):this.broadcastedBinaryOp(t,e,wt(t.dtype,e.dtype),function(t,e){return t-e})},e.prototype.pow=function(t,e){return this.assertNotComplex([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.pow(t,e)})},e.prototype.batchMatMul=function(t,e,n,r){this.assertNotComplex([t,e],"matMul");for(var i=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],p=c[0],h=c[1],f=c[2],d=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],m=d[0],g=d[1],v=d[2],y=a*o,b=_n([s,a,o],t.dtype),w=b.values,x=this.blockSize,N=0;N<s;N++)for(var C=0;C<a;C+=x)for(var E=0;E<o;E+=x)for(var S=0;S<i;S+=x)for(var I=Math.min(C+x,a),k=Math.min(E+x,o),A=Math.min(S+x,i),T=C;T<I;T++)for(var R=E;R<k;R++){for(var D=0,O=S;O<A;O++)D+=u[N*p+T*h+O*f]*l[O*m+R*g+N*v];w[N*y+(T*o+R)]+=D}return b.toTensor()},e.prototype.fusedBatchMatMul=function(t,e,n,r,i,a){var o=this.batchMatMul(t,e,n,r);return i&&(o=this.add(o,i)),a&&(o=function(t,e,n){if("linear"===e)return t.linear(n);if("relu"===e)return t.relu(n);throw new Error("Activation "+e+" has not been implemented for the CPU backend.")}(this,a,o)),o},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,wt(t.dtype,e.dtype),function(t,e){return t*e})},e.prototype.realDivide=function(t,e){return this.assertNotComplex([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},e.prototype.floorDiv=function(t,e){return this.assertNotComplex([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},e.prototype.sum=function(t,e){this.assertNotComplex(t,"sum"),je("sum",e,t.rank);for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,wt(t.dtype,"int32")),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=0,h=0;h<o;++h)p+=u[c+h];s[l]=p}return a},e.prototype.prod=function(t,e){this.assertNotComplex(t,"sum");for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,wt(t.dtype,"int32")),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=1,h=0;h<o;++h)p*=u[c+h];s[l]=p}return a},e.prototype.unsortedSegmentSum=function(t,e,n){this.assertNotComplex(t,"unsortedSegmentSum");for(var r=[],i=t.rank-e.rank,a=0;a<i;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var o=en(a,"int32"),s=ou(o,e).asType("float32").mul(t).sum(0);r.push(s)}return er(r)},e.prototype.argMin=function(t,e){this.assertNotComplex(t,"argMin");var n=[e];je("argMin",n,t.rank);for(var r=We(t.shape,n),i=r[0],a=r[1],o=cn(i,"int32"),s=y(a),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var m=l[p+d];m<h&&(h=m,f=d)}u[c]=f}return o},e.prototype.argMax=function(t,e){this.assertNotComplex(t,"argMax");var n=[e];je("argMax",n,t.rank);for(var r=We(t.shape,n),i=r[0],a=r[1],o=cn(i,"int32"),s=y(a),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var m=l[p+d];m>h&&(h=m,f=d)}u[c]=f}return o},e.prototype.cumsum=function(t,e,n,r){if(this.assertNotComplex(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var i=wt(t.dtype,"int32"),a=cn(t.shape,i),o=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],l=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var h=l(c,p);if(0===p)o[h]=n?0:s[h];else{var f=l(c,p-1);o[h]=n?s[f]+o[f]:s[h]+o[f]}}return a},e.prototype.equal=function(t,e){return this.assertNotComplex([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},e.prototype.notEqual=function(t,e){return this.assertNotComplex([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},e.prototype.less=function(t,e){return this.assertNotComplex([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},e.prototype.lessEqual=function(t,e){return this.assertNotComplex([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},e.prototype.greater=function(t,e){return this.assertNotComplex([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},e.prototype.greaterEqual=function(t,e){return this.assertNotComplex([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},e.prototype.logicalNot=function(t){this.assertNotComplex(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return ht.make(t.shape,{values:n},"bool")},e.prototype.logicalAnd=function(t,e){return this.assertNotComplex([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},e.prototype.logicalOr=function(t,e){return this.assertNotComplex([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},e.prototype.select=function(t,e,n){this.assertNotComplex([t,e,n],"select");for(var r=this.readSync(t.dataId),i=this.readSync(e.dataId),a=this.readSync(n.dataId),o=cn(e.shape,wt(e.dtype,n.dtype)),s=this.readSync(o.dataId),u=0,l=0===t.rank||t.rank>1||1===e.rank?1:e.shape[1],c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=i[c]:s[u++]=a[c];return o},e.prototype.where=function(t){this.assertNotComplex([t],"where");var e=this.readSync(t.dataId);return Qr(t.shape,e)},e.prototype.topk=function(t,e,n){return this.assertNotComplex(t,"topk"),Zr(this.readSync(t.dataId),t.shape,t.dtype,e)},e.prototype.min=function(t,e){this.assertNotComplex(t,"min"),je("min",e,t.rank);for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,t.dtype),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f<p&&(p=f)}s[l]=p}return a},e.prototype.minimum=function(t,e){return this.assertNotComplex([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},e.prototype.mod=function(t,e){return this.assertNotComplex([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})},e.prototype.max=function(t,e){this.assertNotComplex(t,"max"),je("max",e,t.rank);for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,t.dtype),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f>p&&(p=f)}s[l]=p}return a},e.prototype.maximum=function(t,e){return this.assertNotComplex([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},e.prototype.all=function(t,e){this.assertNotComplex(t,"all"),je("all",e,t.rank);for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,t.dtype),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p&&f}s[l]=p}return a},e.prototype.any=function(t,e){this.assertNotComplex(t,"any"),je("any",e,t.rank);for(var n=We(t.shape,e),r=n[0],i=n[1],a=cn(r,t.dtype),o=y(i),s=this.readSync(a.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p||f}s[l]=p}return a},e.prototype.squaredDifference=function(t,e){return this.assertNotComplex([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},e.prototype.ceil=function(t){this.assertNotComplex(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return ht.make(t.shape,{values:n})},e.prototype.floor=function(t){this.assertNotComplex(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 ht.make(t.shape,{values:n})},e.prototype.sign=function(t){this.assertNotComplex(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 ht.make(t.shape,{values:n})},e.prototype.isNaN=function(t){this.assertNotComplex(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 ht.make(t.shape,{values:n},"bool")},e.prototype.isInf=function(t){this.assertNotComplex(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 ht.make(t.shape,{values:n},"bool")},e.prototype.isFinite=function(t){this.assertNotComplex(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 ht.make(t.shape,{values:n},"bool")},e.prototype.round=function(t){this.assertNotComplex(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=Math.floor(e[r]);e[r]-i<.5?n[r]=Math.floor(e[r]):e[r]-i>.5?n[r]=Math.ceil(e[r]):n[r]=i%2==0?i:i+1}return ht.make(t.shape,{values:n})},e.prototype.exp=function(t){this.assertNotComplex(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return ht.make(t.shape,{values:n})},e.prototype.expm1=function(t){this.assertNotComplex(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return ht.make(t.shape,{values:n})},e.prototype.log=function(t){this.assertNotComplex(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log(i)}return ht.make(t.shape,{values:n})},e.prototype.log1p=function(t){this.assertNotComplex(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log1p(i)}return ht.make(t.shape,{values:n})},e.prototype.sqrt=function(t){this.assertNotComplex(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.sqrt(i)}return ht.make(t.shape,{values:n})},e.prototype.rsqrt=function(t){this.assertNotComplex(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=1/Math.sqrt(i)}return ht.make(t.shape,{values:n})},e.prototype.square=function(t){this.assertNotComplex(t,"square");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=i*i}return ht.make(t.shape,{values:n})},e.prototype.reciprocal=function(t){this.assertNotComplex(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return ht.make(t.shape,{values:n})},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){this.assertNotComplex(t,"relu");for(var e=cn(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.prelu=function(t,e){return this.assertNotComplex([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},e.prototype.elu=function(t){this.assertNotComplex(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r];e[r]=i>=0?i:Math.exp(i)-1}return ht.make(t.shape,{values:e})},e.prototype.eluDer=function(t,e){this.assertNotComplex([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),i=this.readSync(t.dataId),a=0;a<r.length;++a){var o=r[a];n[a]=o>=1?i[a]:i[a]*(o+1)}return ht.make(e.shape,{values:n})},e.prototype.selu=function(t){this.assertNotComplex(t,"selu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r];e[r]=i>=0?1.0507009873554805*i:1.7580993408473768*(Math.exp(i)-1)}return ht.make(t.shape,{values:e})},e.prototype.clip=function(t,e,n){this.assertNotComplex(t,"clip");for(var r=new Float32Array(t.size),i=this.readSync(t.dataId),a=0;a<i.length;++a){var o=i[a];r[a]=o>n?n:o<e?e:o}return ht.make(t.shape,{values:r})},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 ht.make(t.shape,{values:e})},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 ht.make(t.shape,{values:e})},e.prototype.int=function(t){this.assertNotComplex(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return ht.make(t.shape,{values:e},"int32")},e.prototype.sigmoid=function(t){this.assertNotComplex(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return ht.make(t.shape,{values:e})},e.prototype.softplus=function(t){this.assertNotComplex(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var a,o=r[i]>-e,s=r[i]<e,u=Math.exp(r[i]);a=s?u:o?r[i]:Math.log(1+u),n[i]=a}return ht.make(t.shape,{values:n})},e.prototype.sin=function(t){this.assertNotComplex(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return ht.make(t.shape,{values:e})},e.prototype.cos=function(t){this.assertNotComplex(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return ht.make(t.shape,{values:e})},e.prototype.tan=function(t){this.assertNotComplex(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return ht.make(t.shape,{values:e})},e.prototype.asin=function(t){this.assertNotComplex(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return ht.make(t.shape,{values:e})},e.prototype.acos=function(t){this.assertNotComplex(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return ht.make(t.shape,{values:e})},e.prototype.atan=function(t){this.assertNotComplex(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return ht.make(t.shape,{values:e})},e.prototype.atan2=function(t,e){return this.assertNotComplex([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},e.prototype.sinh=function(t){this.assertNotComplex(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return ht.make(t.shape,{values:e})},e.prototype.cosh=function(t){this.assertNotComplex(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return ht.make(t.shape,{values:e})},e.prototype.tanh=function(t){this.assertNotComplex(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=x(n[r]);return ht.make(t.shape,{values:e})},e.prototype.asinh=function(t){this.assertNotComplex(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return ht.make(t.shape,{values:e})},e.prototype.acosh=function(t){this.assertNotComplex(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return ht.make(t.shape,{values:e})},e.prototype.atanh=function(t){this.assertNotComplex(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return ht.make(t.shape,{values:e})},e.prototype.erf=function(t){this.assertNotComplex(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r],a=1/(1+.3275911*i);e[r]=1-((((1.061405429*a-1.453152027)*a+1.421413741)*a-.284496736)*a+.254829592)*a*Math.exp(-i*i)}return ht.make(t.shape,{values:e})},e.prototype.step=function(t,e){void 0===e&&(e=0),this.assertNotComplex(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var a=r[i];isNaN(a)?n[i]=NaN:n[i]=a>0?1:e}return ht.make(t.shape,{values:n})},e.prototype.conv2d=function(t,e,n){this.assertNotComplex([t,e],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=_n(n.outShape,t.dtype),c=this.readSync(t.dataId),p=this.readSync(e.dataId),h=l.values,f=0;f<n.batchSize;++f)for(var d=f*t.strides[0],m=f*l.strides[0],g=0;g<n.outHeight;++g)for(var v=m+g*l.strides[1],y=g*n.strideHeight-u,b=0;b<r;b++){var w=y+b*a;if(!(w<0||w>=n.inHeight))for(var x=b*e.strides[0],N=d+w*t.strides[1],C=0;C<n.outWidth;++C)for(var E=v+C*n.outChannels,S=C*n.strideWidth-s,I=0;I<i;I++){var k=S+I*o;if(!(k<0||k>=n.inWidth))for(var A=x+I*e.strides[1],T=N+k*n.inChannels,R=A,D=0;D<n.inChannels;++D){for(var O=c[T+D],_=0;_<n.outChannels;++_)h[E+_]+=O*p[R+_];R+=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,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=_n(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),m=h.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*h.strides[0],b=0;b<n.outDepth;++b)for(var w=y+b*h.strides[1],x=b*n.strideDepth-l,N=0;N<r;N++){var C=x+N*o;if(!(C<0||C>=n.inDepth))for(var E=N*e.strides[0],S=v+C*t.strides[1],I=0;I<n.outHeight;++I)for(var k=w+I*h.strides[2],A=I*n.strideHeight-p,T=0;T<i;T++){var R=A+T*s;if(!(R<0||R>=n.inHeight))for(var D=E+T*e.strides[1],O=S+R*t.strides[2],_=0;_<n.outWidth;++_)for(var z=k+_*n.outChannels,F=_*n.strideWidth-c,M=0;M<a;M++){var L=F+M*u;if(!(L<0||L>=n.inWidth))for(var B=D+M*e.strides[2],P=O+L*n.inChannels,V=B,W=0;W<n.inChannels;++W){for(var U=f[P+W],j=0;j<n.outChannels;++j)m[z+j]+=U*d[V+j];V+=n.outChannels}}}}return h.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerInput");for(var r=_n(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],l=this.readSync(t.dataId),c=t.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,C=n.inHeight,E=n.inWidth,S=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=0;O<b;++O)for(var _=0;_<N;++_)for(var z=0;z<C;++z)for(var F=z-R,M=Math.max(0,Math.ceil(F/A)),L=Math.min(I,(w+F)/A),B=0;B<E;++B){for(var P=B-D,V=Math.max(0,Math.ceil(P/T)),W=Math.min(k,(x+P)/T),U=0,j=M;j<L;++j)for(var q=j*A-F,G=V;G<W;++G)for(var H=p*O+h*j+f*G,K=g*(w-1-q)+v*(x-1-(G*T-P))+y*_,$=0;$<S;++$)U+=l[H+$]*d[K+$];i[o*O+s*z+u*B+_]=U}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=_n(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],l=a[3],c=this.readSync(t.dataId),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],w=v[2],x=v[3],N=n.batchSize,C=n.filterDepth,E=n.filterHeight,S=n.filterWidth,I=n.inChannels,k=n.inDepth,A=n.inHeight,T=n.inWidth,R=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,z=n.strideDepth,F=n.strideHeight,M=n.strideWidth,L=C-1-n.padInfo.front,B=E-1-n.padInfo.top,P=S-1-n.padInfo.left,V=0;V<N;++V)for(var W=0;W<I;++W)for(var U=0;U<k;++U)for(var j=U-L,q=Math.max(0,Math.ceil(j/z)),G=Math.min(D,(C+j)/z),H=0;H<A;++H)for(var K=H-B,$=Math.max(0,Math.ceil(K/F)),X=Math.min(O,(E+K)/F),Y=0;Y<T;++Y){for(var J=Y-P,Z=Math.max(0,Math.ceil(J/M)),Q=Math.min(_,(S+J)/M),tt=0,et=q;et<G;++et)for(var nt=et*z-j,rt=$;rt<X;++rt)for(var it=rt*F-K,at=Z;at<Q;++at)for(var ot=h*V+f*et+d*rt+m*at,st=y*(C-1-nt)+b*(E-1-it)+w*(S-1-(at*M-J))+x*W,ut=0;ut<R;++ut)tt+=c[ot+ut]*g[st+ut];i[o*V+s*U+u*H+l*Y+W]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=_n(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=this.bufferSync(t),p=this.bufferSync(e),h=0;h<a;++h)for(var f=Math.max(0,Math.ceil((l-h)/r)),d=Math.min(n.outHeight,(n.inHeight+l-h)/r),m=0;m<o;++m)for(var g=Math.max(0,Math.ceil((u-m)/i)),v=Math.min(n.outWidth,(n.inWidth+u-m)/i),y=0;y<n.inChannels;++y)for(var b=0;b<n.outChannels;++b){for(var w=0,x=0;x<n.batchSize;++x)for(var N=f;N<d;++N)for(var C=h+N*r-l,E=g;E<v;++E){var S=m+E*i-u;w+=c.get(x,C,S,y)*p.get(x,N,E,b)}s.set(w,h,m,y,b)}return s.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,l=_n(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],w=v[2],x=v[3],N=this.readSync(t.dataId),C=t.strides,E=C[0],S=C[1],I=C[2],k=C[3],A=n.padInfo.front,T=n.padInfo.left,R=n.padInfo.top,D=0;D<o;++D)for(var O=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),z=D*h,F=0;F<s;++F)for(var M=Math.max(0,Math.ceil((R-F)/i)),L=Math.min(n.outHeight,(n.inHeight+R-F)/i),B=F*f+z,P=0;P<u;++P)for(var V=Math.max(0,Math.ceil((T-P)/a)),W=Math.min(n.outWidth,(n.inWidth+T-P)/a),U=P*d+B,j=0;j<n.inChannels;++j)for(var q=j*m+U,G=0;G<n.outChannels;++G){for(var H=0,K=0;K<n.batchSize;++K)for(var $=K*E,X=K*y,Y=O;Y<_;++Y)for(var J=(D+Y*r-A)*S+$,Z=Y*b+X,Q=M;Q<L;++Q)for(var tt=(F+Q*i-R)*I+J,et=Q*w+Z,nt=V;nt<W;++nt){var rt=nt*x+et;H+=N[(P+nt*a-T)*k+tt+j]*g[rt+G]}c[q+G]=H}return l.toTensor()},e.prototype.depthwiseConv2D=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=_n(n.outShape,t.dtype),p=this.readSync(t.dataId),h=this.readSync(e.dataId),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*c.strides[1],b=v*n.strideHeight-s,w=0;w<r;++w){var x=b+w*a;if(!(x<0||x>=n.inHeight))for(var N=w*e.strides[0],C=m+x*t.strides[1],E=0;E<n.outWidth;++E)for(var S=y+E*c.strides[2],I=E*n.strideWidth-u,k=0;k<i;++k){var A=I+k*o;if(!(A<0||A>=n.inWidth))for(var T=N+k*e.strides[1],R=C+A*n.inChannels,D=S,O=T,_=0;_<n.inChannels;++_){for(var z=p[R+_],F=0;F<l;++F)f[D+F]+=z*h[O+F];D+=l,O+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerInput");for(var r=_n(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],l=this.readSync(t.dataId),c=t.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,C=n.inHeight,E=n.inWidth,S=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=S/N,_=0;_<b;++_)for(var z=0;z<N;++z)for(var F=0;F<C;++F)for(var M=F-R,L=Math.max(0,Math.ceil(M/A)),B=Math.min(I,(w+M)/A),P=0;P<E;++P){for(var V=P-D,W=Math.max(0,Math.ceil(V/T)),U=Math.min(k,(x+V)/T),j=0,q=L;q<B;++q)for(var G=q*A-M,H=W;H<U;++H)for(var K=p*_+h*q+f*H,$=g*(w-1-G)+v*(x-1-(H*T-V))+y*z,X=0;X<O;++X)j+=l[K+(z*O+X)]*d[$+X];i[o*_+s*F+u*P+z]=j}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=_n(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<a;++f)for(var d=Math.max(0,Math.ceil((l-f)/r)),m=Math.min(n.outHeight,(n.inHeight+l-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((u-g)/i)),y=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var w=Math.trunc(b/c),x=b%c,N=0,C=0;C<n.batchSize;++C)for(var E=d;E<m;++E)for(var S=f+E*r-l,I=v;I<y;++I){var k=g+I*i-u;N+=p.get(C,S,k,w)*h.get(C,E,I,b)}s.set(N,f,g,w,x)}return s.toTensor()},e.prototype.tile=function(t,e){return this.assertNotComplex(t,"tile"),Jr(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){this.assertNotComplex(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),i=e.map(function(t){return t[0]}),a=this.bufferSync(t),o=_n(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),l=u.map(function(t,e){return t+i[e]});o.set.apply(o,[a.get.apply(a,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(t,e){this.assertNotComplex(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var i=this.readSync(t.dataId),a=_n(n,t.dtype),o=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[e[l]];var c=a.locToIndex(u);a.values[c]=i[r]}return a.toTensor()},e.prototype.gather=function(t,e,n){this.assertNotComplex([t,e],"gather");var r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;for(var a=_n(r,t.dtype),o=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[n]=i[u[n]];var c=o.locToIndex(l);a.values[s]=o.values[c]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){this.assertNotComplex([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=or(t.shape,e,r),a=sr(i.length,e.length),o=ur(t.shape,e,r),s=lr(n,e.length),u=cr(o,n,e.length);return t.reshape(i).transpose(a).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){this.assertNotComplex([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var a=1+e.length;a<t.shape.length;++a)i.push([0,0]);var o=t.pad(i),s=or(o.shape,e,r,!1),u=sr(s.length,e.length,!1),l=ur(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(t,e,n){this.assertNotComplex(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=this.readSync(t.dataId),f=_n(e.outShape,t.dtype),d=f.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],v=e.outShape[3],y=0;y<e.batchSize;++y)for(var b=y*m,w=y*t.strides[0],x=0;x<e.inChannels;++x)for(var N=0;N<e.outHeight;++N)for(var C=N*r-l,E=Math.max(0,C),S=Math.min(e.inHeight,s+C),I=b+N*g,k=0;k<e.outWidth;++k){for(var A=k*i-c,T=Math.max(0,A),R=Math.min(e.inWidth,u+A),D=p,O=0,_=0,z=E;z<S;z+=a){for(var F=w+z*t.strides[1],M=T;M<R;M+=o){var L=h[F+M*t.strides[2]+x];"max"===n&&L>D?D=L:"avg"===n&&(O+=L,_++)}if(isNaN(D))break}d[I+k*v+x]="avg"===n?O/_:D}return f.toTensor()},e.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},e.prototype.maxPoolPositions=function(t,e){for(var n=_n(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p=this.bufferSync(t),h=0;h<e.batchSize;++h)for(var f=0;f<e.inChannels;++f)for(var d=0;d<e.outHeight;++d){for(var m=d*r-l,g=m;g<0;)g+=a;for(var v=Math.min(e.inHeight,s+m),y=0;y<e.outWidth;++y){for(var b=y*i-c,w=b;w<0;)w+=o;for(var x=Math.min(e.inWidth,u+b),N=Number.NEGATIVE_INFINITY,C=-1,E=g;E<v;E+=a)for(var S=E-m,I=w;I<x;I+=o){var k=I-b,A=p.get(h,E,I,f);A>N&&(N=A,C=S*u+k)}n.set(C,h,d,y,f)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),a=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,h=l-1-r.padInfo.top,f=_n(e.shape,"float32"),d=this.bufferSync(i),m=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var w=y-h,x=b-p,N=0,C=0;C<l;C+=s){var E=(w+C)/a;if(!(E<0||E>=r.outHeight||Math.floor(E)!==E))for(var S=0;S<c;S+=u){var I=(x+S)/o;if(!(I<0||I>=r.outWidth||Math.floor(I)!==I)){var k=l*c-1-d.get(g,E,I,v)===C*c+S?1:0;0!==k&&(N+=m.get(g,E,I,v)*k)}}}f.set(N,g,y,b,v)}return f.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,h=l-1-n.padInfo.top,f=_n(e.shape,"float32"),d=1/(a*o),m=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var w=y-h,x=b-p,N=0,C=0;C<l;C+=s){var E=(w+C)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var S=0;S<c;S+=u){var I=(x+S)/i;I<0||I>=n.outWidth||Math.floor(I)!==I||(N+=m.get(g,E,I,v))}}f.set(N*d,g,y,b,v)}return f.toTensor()},e.prototype.cast=function(t,e){return Vr(t,e,this)},e.prototype.reshape=function(t,e){return Wr(t,e)},e.prototype.avgPool=function(t,e){return this.assertNotComplex(t,"avgPool"),this.pool(t,e,"avg").toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){this.assertNotComplex(t,"resizeBilinear");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],l=this.readSync(t.dataId),c=new Float32Array(y([a,e,n,u])),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,d=p[0]/h[0],m=p[1]/h[1],g=0;g<a;g++)for(var v=0;v<e;v++)for(var b=d*v,w=Math.floor(b),x=b-w,N=Math.min(o-1,Math.ceil(b)),C=g*t.strides[0]+w*t.strides[1],E=g*t.strides[0]+N*t.strides[1],S=0;S<n;S++)for(var I=m*S,k=Math.floor(I),A=I-k,T=Math.min(s-1,Math.ceil(I)),R=C+k*t.strides[2],D=E+k*t.strides[2],O=C+ +T*t.strides[2],_=E+T*t.strides[2],z=0;z<u;z++){var F=l[R+z],M=l[D+z],L=F+(l[O+z]-F)*A,B=L+(M+(l[_+z]-M)*A-L)*x;c[f++]=B}return Qe(c,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*a*o*s),h=[n&&l>1?a-1:a,n&&c>1?o-1:o],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],g=this.readSync(t.dataId),v=0,y=0;y<i;y++)for(var b=y*e.strides[0],w=0;w<l;w++)for(var x=w*d,N=Math.floor(x),C=Math.min(Math.ceil(x),a-1),E=b+N*e.strides[1],S=b+C*e.strides[1],I=x-N,k=1-I,A=0;A<c;A++)for(var T=A*m,R=Math.floor(T),D=Math.min(Math.ceil(T),o-1),O=T-R,_=1-O,z=E+R*e.strides[2],F=E+D*e.strides[2],M=S+R*e.strides[2],L=S+D*e.strides[2],B=k*_,P=k*O,V=I*_,W=I*O,U=0;U<s;U++){var j=g[v++];p[z+U]+=j*B,p[F+U]+=j*P,p[M+U]+=j*V,p[L+U]+=j*W}return on(p,[i,o,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){this.assertNotComplex(t,"resizeNearestNeighbor");for(var i=t.shape,a=i[0],o=i[1],s=i[2],u=i[3],l=this.readSync(t.dataId),c=new Float32Array(a*e*n*u),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,g=0;g<a;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=f*y,w=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],x=0;x<n;x++)for(var N=d*x,C=w+Math.min(s-1,r?Math.round(N):Math.floor(N))*t.strides[2],E=0;E<u;E++){var S=l[C+E];c[m++]=S}return Qe(c,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*a*o*s),h=this.readSync(t.dataId),f=[n&&l>1?a-1:a,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,w=2*Math.ceil(y)+2,x=0;x<i;x++)for(var N=x*e.strides[0],C=0;C<a;C++)for(var E=N+C*e.strides[1],S=Math.floor(C*v),I=Math.floor(S-b/2),k=0;k<o;k++)for(var A=E+k*e.strides[2],T=Math.floor(k*y),R=Math.floor(T-w/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var z=_+I;if(!(z<0||z>=l)){var F=N+z*t.strides[1],M=z*m;if(C===Math.min(a-1,n?Math.round(M):Math.floor(M)))for(var L=0;L<w;L++){var B=L+R;if(!(B<0||B>=c)){var P=F+B*t.strides[2],V=B*g;k===Math.min(o-1,n?Math.round(V):Math.floor(V))&&(O+=h[P+D])}}}}p[A+D]=O}return on(p,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,i,a){this.assertNotComplex([t,e,n,i,a],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),l=i?this.readSync(i.dataId):new Float32Array([1]),c=a?this.readSync(a.dataId):new Float32Array([0]),p=new Float32Array(o.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,w=0;w<o.length;++w)p[w]=c[g++]+(o[w]-s[v++])*l[y++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),v>=m&&(v=0),y>=f&&(y=0),b>=d&&(b=0);return on(p,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,i){this.assertNotComplex(t,"localResponseNormalization4D");var a=t.shape[3],o=a-1,s=this.readSync(t.dataId),u=t.size,l=new Float32Array(u);function c(t){for(var n=t%a,r=t-n+Math.max(0,n-e),i=t-n+Math.min(n+e,o),u=0;r<=i;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-i);l[p]=f}return on(l,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,i,a,o){this.assertNotComplex(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=this.readSync(n.dataId),p=new Float32Array(t.size),h=t.size,f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),g=f-d+Math.min(s,d+r+1),v=0,y=m;y<g;y++)v+=Math.pow(l[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*l[y]*c[f]/v;f===y&&(b+=Math.pow(v,-o)),b*=u[f],p[y]+=b}}return on(p,t.shape)},e.prototype.multinomial=function(t,e,n,r){this.assertNotComplex(t,"multinomial");for(var i=e?t:Cr(t),a=i.shape[0],o=i.shape[1],s=cn([a,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(i.dataId),c=0;c<a;++c){var p=c*o,h=new Float32Array(o-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=Rn(r.toString()),m=c*n,g=0;g<n;++g){var v=d();u[m+g]=h.length;for(var y=0;y<h.length;y++)if(v<h[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){this.assertNotComplex(t,"oneHot");var i=new Float32Array(t.size*e);i.fill(r);for(var a=this.readSync(t.dataId),o=0;o<t.size;++o)a[o]>=0&&a[o]<e&&(i[o*e+a[o]]=n);return rn(i,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,i){return this.assertNotComplex(t,"nonMaxSuppression"),$r(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=_n(t.shape,"float32"),a=_n(t.shape,"float32"),o=Je(t).as2D(n,r),s=Ze(t).as2D(n,r),u=0;u<n;u++)for(var l=o.slice([u,0],[1,r]),c=s.slice([u,0],[1,r]),p=Ye(l,c),h=this.readSync(this.fftImpl(p,e).dataId),f=0;f<r;f++){var d=Gr(h,f);i.values[u*r+f]=d.real,a.values[u*r+f]=d.imag}return Ye(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=Ye(Je(i).div(en(r)),Ze(i).div(en(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 Ye(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=Ye(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=Ye(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),i=0;i<Math.ceil(t/2);i++){var a=(e?2:-2)*Math.PI*(i/t);n[i]=Math.cos(a),r[i]=Math.sin(a)}return{real:n,imag:r}}(e,n),c=Ye(l.real,l.imag).mul(u),p=o.add(c),h=o.sub(c),f=Je(p).concat(Je(h)),d=Ze(p).concat(Ze(h));return Ye(f,d).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=Kr(i*s,e,n),l=Gr(t,s);a+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(a/=e,o/=e),Hr(r,a,o,i)}return r},e.prototype.depthToSpace=function(t,e,n){d("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),d(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],i=t.shape[1],a=t.shape[2],o=t.shape[3],s=i*e,u=a*e,l=o/(e*e),c=this.readSync(t.dataId),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var m=0;m<s;++m)for(var g=Math.floor(m/e),v=m%e,y=0;y<u;++y)for(var b=Math.floor(y/e),w=(v*e+y%e)*l,x=0;x<l;++x){var N=x+w+o*(b+a*(g+i*f));p[h++]=c[N]}return on(p,[r,s,u,l])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=Tr(t.shape,e.shape),a=_n(i,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=kr(t.shape,i),l=kr(e.shape,i),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(o[p%o.length],s[p%s.length]);else{var h=this.bufferSync(t),f=this.bufferSync(e),d=function(n){var i=a.indexToLoc(n),p=i.slice(-t.rank);u.forEach(function(t){return p[t]=0});var d=h.locToIndex(p),m=i.slice(-e.rank);l.forEach(function(t){return m[t]=0});var g=f.locToIndex(m);c[n]=r(o[d],s[g])};for(p=0;p<c.length;++p)d(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Tr(t.shape,e.shape),i=_n(r,"float32"),a=_n(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=kr(t.shape,r),l=kr(e.shape,r),c=i.values,p=a.values;if(u.length+l.length===0)for(var h=0;h<c.length;h++){var f=h%o.length,d=h%s.length,m=n(o[2*f],o[2*f+1],s[2*d],s[2*d+1]);c[h]=m.real,p[h]=m.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),v=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=i.indexToLoc(r),h=a.slice(-t.rank);u.forEach(function(t){return h[t]=0});var f=g.locToIndex(h),d=a.slice(-e.rank);l.forEach(function(t){return d[t]=0});var m=v.locToIndex(d),y=n(o[2*f],o[2*f+1],s[2*m],s[2*m+1]);c[r]=y.real,p[r]=y.imag};for(h=0;h<c.length;h++)y(h)}return this.complex(i.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return Yr(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],l=o[2],c=o[3],p=e.shape[0],h=r[0],f=r[1],d=_n([p,h,f,c],t.dtype),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),y=t.strides,b=d.strides,w=0;w<p;w++){var x=4*w,N=m[x],C=m[x+1],E=m[x+2],S=m[x+3],I=g[w];if(!(I>=s))for(var k=h>1?(E-N)*(u-1)/(h-1):0,A=f>1?(S-C)*(l-1)/(f-1):0,T=0;T<h;T++){var R=h>1?N*(u-1)+T*k:.5*(N+E)*(u-1);if(R<0||R>u-1)for(var D=0;D<f;D++)for(var O=0;O<c;O++){var _=O+D*b[2]+T*b[1]+w*b[0];d.values[_]=a}else if("bilinear"===i){var z=Math.floor(R),F=Math.ceil(R),M=R-z;for(D=0;D<f;D++)if((G=f>1?C*(l-1)+D*A:.5*(C+S)*(l-1))<0||G>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=a;else{var L=Math.floor(G),B=Math.ceil(G),P=G-L;for(O=0;O<c;O++){var 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u,l=nc(e),c=a.transaction(lc,"readwrite"),p=c.objectStore(lc),h=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});h.onsuccess=function(){var i=(u=a.transaction(uc,"readwrite")).objectStore(uc).put({modelPath:n.modelPath,modelArtifacts:e,modelArtifactsInfo:l});i.onsuccess=function(){return t({modelArtifactsInfo:l})},i.onerror=function(t){var e=(p=c.objectStore(lc)).delete(n.modelPath);e.onsuccess=function(){return a.close(),r(i.error)},e.onerror=function(t){return a.close(),r(i.error)}}},h.onerror=function(t){return a.close(),r(h.error)},c.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},i.onerror=function(t){return r(i.error)}})},t.URL_SCHEME="indexeddb://",t}(),fc=function(e){return t.ENV.getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(hc.URL_SCHEME)?(n=e.slice(hc.URL_SCHEME.length),new hc(n)):null;var n};rc.registerSaveRouter(fc),rc.registerLoadRouter(fc);var dc=function(){function t(){this.indexedDB=cc()}return t.prototype.listModels=function(){return i(this,void 0,void 0,function(){var t=this;return a(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return pc(r)},r.onsuccess=function(){var t=r.result,i=t.transaction(lc,"readonly"),a=i.objectStore(lc).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 i(this,void 0,void 0,function(){var e=this;return a(this,function(n){var r;return t=(r=t).startsWith(hc.URL_SCHEME)?r.slice(hc.URL_SCHEME.length):r,[2,new Promise(function(n,r){var i=e.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return pc(i)},i.onsuccess=function(){var 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Nc(t){return{info:[gc,t,vc].join(mc),topology:[gc,t,yc].join(mc),weightSpecs:[gc,t,bc].join(mc),weightData:[gc,t,wc].join(mc),modelMetadata:[gc,t,xc].join(mc)}}function Cc(t){var e=t.split(mc);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(mc)}var Ec=function(){function e(e){if(!t.ENV.getBool("IS_BROWSER")||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==e||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=Nc(this.modelPath)}return e.prototype.save=function(t){return i(this,void 0,void 0,function(){var e,n,r;return a(this,function(i){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=nc(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,(a=t.weightData,Zl?Buffer.from(a).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(a))))),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy})),[2,{modelArtifactsInfo:r}]}catch(t){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes="+r.modelTopologyBytes+", weightSpecsBytes="+r.weightSpecsBytes+", weightDataBytes="+r.weightDataBytes+".")}var a;return[2]})})},e.prototype.load=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,o,s;return a(this,function(a){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!=(i=this.LS.getItem(this.keys.modelMetadata))&&(o=JSON.parse(i),e.format=o.format,e.generatedBy=o.generatedBy,e.convertedBy=o.convertedBy),null==(s=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return e.weightData=function(t){if(Zl){var e=Buffer.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var n=atob(t),r=new Uint8Array(n.length),i=0;i<n.length;++i)r.set([n.charCodeAt(i)],i);return r.buffer}(s),[2,e]})})},e.URL_SCHEME="localstorage://",e}(),Sc=function(e){return t.ENV.getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Ec.URL_SCHEME)?(n=e.slice(Ec.URL_SCHEME.length),new Ec(n)):null;var n};rc.registerSaveRouter(Sc),rc.registerLoadRouter(Sc);var Ic=function(){function e(){d(t.ENV.getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),d(void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return e.prototype.listModels=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,o;return a(this,function(a){for(t={},e=gc+mc,n=mc+vc,r=0;r<this.LS.length;++r)(i=this.LS.key(r)).startsWith(e)&&i.endsWith(n)&&(o=Cc(i),t[o]=JSON.parse(this.LS.getItem(i)));return[2,t]})})},e.prototype.removeModel=function(t){return i(this,void 0,void 0,function(){var e,n;return a(this,function(r){var i;if(t=(i=t).startsWith(Ec.URL_SCHEME)?i.slice(Ec.URL_SCHEME.length):i,e=Nc(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]})})},e}();if(t.ENV.getBool("IS_BROWSER"))try{ac.registerManager(Ec.URL_SCHEME,new Ic)}catch(e){}var kc="model",Ac=".json",Tc=".weights.bin";function Rc(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var Dc=function(){function e(n){if(!t.ENV.getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is 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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:nc(t),responses:[i]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".")}})})},t.prototype.load=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,o,s,u;return a(this,function(a){switch(a.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(!(t=a.sent()).ok)throw new Error("Request to "+this.path+" failed with status code "+t.status+". 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t={},null!=this.modelTopology&&(t=r({modelTopology:this.modelTopology},t)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(t=r({weightSpecs:this.weightSpecs},t)),null!=this.weightData&&this.weightData.byteLength>0&&(t=r({weightData:this.weightData},t)),null!=this.trainingConfig&&(t=r({trainingConfig:this.trainingConfig},t)),[2,t]})})},t}(),Wc=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return i(this,void 0,void 0,function(){return a(this,function(e){return[2,this.saveHandler(t)]})})},t}(),Uc=Object.freeze({browserFiles:function(t){return new Oc(t)},browserHTTPRequest:function(t,e){return Pc(t,e)},concatenateArrayBuffers:tc,decodeWeights:Jl,encodeWeights:function(t,e){return i(this,void 0,void 0,function(){var n,r,o,s,u,l=this;return a(this,function(c){switch(c.label){case 0:for(n=[],r=[],o=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t),s=function(s){var 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ep(t,e,0)})},expectNumbersClose:function(t,e,n){if(null==n&&(n=Qc()),!ep(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))}}),rp=Object.freeze({gpgpu_util:Ta,webgl_util:ke,MathBackendWebGL:Eo,setWebGLContext:_t,GPGPUContext:Ra}),ip=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.minimize=function(t,e,n){void 0===e&&(e=!1);var r=this.computeGradients(t,n),i=r.value,a=r.grads;if(null!=n){var o=n.map(function(t){return{name:t.name,tensor:a[t.name]}});this.applyGradients(o)}else this.applyGradients(a);return De(a),e?i:(i.dispose(),null)},Object.defineProperty(e.prototype,"iterations",{get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),e.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},e.prototype.computeGradients=function(t,e){return wr(t,e)},e.prototype.dispose=function(){null!=this.iterations_&&De(this.iterations_)},e.prototype.saveIterations=function(){return i(this,void 0,void 0,function(){return a(this,function(t){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:en(this.iterations_,"int32")}]})})},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){return a(this,function(t){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},e.prototype.setWeights=function(t){return i(this,void 0,void 0,function(){return a(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return i(this,void 0,void 0,function(){var e;return a(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}(Kc);Object.defineProperty(ip,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var ap=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=Tt.backend.epsilon()),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Tt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:Re(function(){return mn(i).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:Re(function(){return mn(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;Re(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&&(De(this.accumulatedGrads.map(function(t){return t.variable})),De(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){var t;return a(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 i(this,void 0,void 0,function(){var e;return a(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="AdadeltaOptimizer",e}(ip);Xc(ap);var op=function(t){function e(e,n){void 0===n&&(n=.1);var r=t.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Tt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:Re(function(){return pn(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;Re(function(){var t=o.add(a.square());o.assign(t);var n=a.div(t.add(Tt.backend.epsilon()).sqrt()).mul(-e.learningRate).add(i);i.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&De(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){return a(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 i(this,void 0,void 0,function(){return a(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}(ip);Xc(op);var sp=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=[],Re(function(){a.accBeta1=en(n).variable(),a.accBeta2=en(r).variable()}),null==i&&(a.epsilon=Tt.backend.epsilon()),a}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Re(function(){var r=Lu(1,e.accBeta1),i=Lu(1,e.accBeta2);n.forEach(function(n,a){var o=Tt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:Re(function(){return mn(o).variable(!1)})}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:Re(function(){return mn(o).variable(!1)})});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,l=e.accumulatedSecondMoment[a].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2).add(s.square().mul(1-e.beta2)),h=c.div(r),f=p.div(i);u.assign(c),l.assign(p);var d=h.div(f.sqrt().add(e.epsilon)).mul(-e.learningRate).add(o);o.assign(d)}}),e.accBeta1.assign(e.accBeta1.mul(e.beta1)),e.accBeta2.assign(e.accBeta2.mul(e.beta2))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&De(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&De(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){var t;return a(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 i(this,void 0,void 0,function(){var e,n=this;return a(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),Re(function(){n.accBeta1.assign(_u(n.beta1,n.iterations_+1)),n.accBeta2.assign(_u(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}(ip);Xc(sp);var up=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=[],Re(function(){o.iteration=en(0).variable(),o.accBeta1=en(n).variable()}),null==i&&(o.epsilon=Tt.backend.epsilon()),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Re(function(){var r=Lu(1,e.accBeta1),i=Nu(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,a){var o=Tt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:mn(o).variable(!1)}),null==e.accumulatedWeightedInfNorm[a]&&(e.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:mn(o).variable(!1)});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,l=e.accumulatedWeightedInfNorm[a].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2),h=s.abs(),f=p.maximum(h);u.assign(c),l.assign(f);var d=i.div(r).mul(c.div(f.add(e.epsilon))).add(o);o.assign(d)}}),e.iteration.assign(e.iteration.add(1)),e.accBeta1.assign(e.accBeta1.mul(e.beta1))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&De(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&De(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){return a(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return i(this,void 0,void 0,function(){return a(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}(ip);Xc(up);var lp=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var a=Tt.registeredVariables[n];Re(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=Oe(en(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){return a(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return i(this,void 0,void 0,function(){return a(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}(ip);Xc(lp);var cp=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=en(i.momentum),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Tt.registeredVariables[n];null==e.accumulations[r]&&(e.accumulations[r]={originalName:n+"/momentum",variable:Re(function(){return mn(i).variable(!1)})});var a=e.accumulations[r].variable,o=Array.isArray(t)?t[r].tensor:t[n];null!=o&&Re(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&&De(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){return a(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 i(this,void 0,void 0,function(){return a(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="MomentumOptimizer",e}(lp);Xc(cp);var pp=function(t){function e(e,n,r,i,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===i&&(i=null),void 0===a&&(a=!1);var o=t.call(this)||this;return o.learningRate=e,o.decay=n,o.momentum=r,o.epsilon=i,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=a,null==i&&(o.epsilon=Tt.backend.epsilon()),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Tt.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:Re(function(){return mn(i).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:Re(function(){return mn(i).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:Re(function(){return mn(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;Re(function(){var t=o.mul(e.decay).add(a.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(a.mul(1-e.decay)),l=s.mul(e.momentum).add(a.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));o.assign(t),n.assign(u),s.assign(l);var c=i.sub(l);i.assign(c)}else{var p=o.mul(e.decay).add(a.square().mul(1-e.decay));l=s.mul(e.momentum).add(a.mul(e.learningRate).div(p.add(e.epsilon).sqrt())),o.assign(p),s.assign(l),c=i.sub(l),i.assign(c)}})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&De(this.accumulatedMeanSquares.map(function(t){return t.variable})),null!=this.accumulatedMeanGrads&&this.centered&&De(this.accumulatedMeanGrads.map(function(t){return t.variable})),null!=this.accumulatedMoments&&De(this.accumulatedMoments.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return i(this,void 0,void 0,function(){var t;return a(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 i(this,void 0,void 0,function(){var e;return a(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=this.centered?t.length/3:t.length/2,this.accumulatedMeanSquares=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedMoments=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},e.fromConfig=function(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)},e.className="RMSProp",e}(ip);Xc(pp);var hp=function(){function t(){}return t.sgd=function(t){return new lp(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new 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Got: "+e.scale);return n.scale=null==e.scale?1:e.scale,n.mode=null==e.mode?"fanIn":e.mode,function(t){Wp(Lh,"FanMode",t)}(n.mode),n.distribution=null==e.distribution?"normal":e.distribution,function(t){Wp(Bh,"Distribution",t)}(n.distribution),n.seed=e.seed,n}return vp(e,t),e.prototype.apply=function(t,e){var n=function(t,e){var n,r;if(void 0===e&&(e="channelsLast"),oh(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length))if("channelsFirst"===e){var i=gh(t,2);n=t[1]*i,r=t[0]*i}else"channelsLast"===e&&(i=gh(t,0,t.length-2),n=t[t.length-2]*i,r=t[t.length-1]*i);else{var a=gh(t);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}(t),r=n[0],i=n[1],a=this.scale;if("fanIn"===this.mode?a/=Math.max(1,r):"fanOut"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),"normal"===this.distribution){var o=Math.sqrt(a);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Ip(this.getClassName()+" does not support dType "+e+".");return rr(t,0,o,e,this.seed)}var s=Math.sqrt(3*a);return Jn(t,-s,s,e)},e.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},e.className="VarianceScaling",e}(Ph);Yc.registerClass(Kh);var $h=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="GlorotUniform",e}(Kh);Yc.registerClass($h);var Xh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="GlorotNormal",e}(Kh);Yc.registerClass(Xh);var Yh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="HeNormal",e}(Kh);Yc.registerClass(Yh);var Jh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="HeUniform",e}(Kh);Yc.registerClass(Jh);var Zh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="LeCunNormal",e}(Kh);Yc.registerClass(Zh);var Qh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return vp(e,t),e.prototype.getClassName=function(){return Kh.className},e.className="LeCunNormal",e}(Kh);Yc.registerClass(Qh);var tf=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 Ip("Random seed is not implemented for Orthogonal Initializer yet.");return n}return vp(e,t),e.prototype.apply=function(t,e){var n=this;return Re(function(){if(2!==t.length)throw new Ip("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=Th(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=Fl.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),Du(n.gain,r)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Ph);Yc.registerClass(tf);var ef={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 nf(t,e){return void 0===e&&(e={}),Lp(t,Yc.SerializationMap.getMap().classNameMap,e,"initializer")}function rf(t){return Mp(t)}function af(t){if("string"==typeof t){var e=t in ef?ef[t]:t;if("GlorotNormal"===e)return new Xh;if("GlorotUniform"===e)return new $h;if("HeNormal"===e)return new Yh;if("HeUniform"===e)return new Jh;if("LeCunNormal"===e)return new Zh;if("LeCunUniform"===e)return new Qh;var n={};return n.className=e,n.config={},nf(n)}return t instanceof Ph?t:nf(t)}var of=Object.freeze({zeros:function(){return new Vh},ones:function(){return new Wh},constant:function(t){return new Uh(t)},randomUniform:function(t){return new jh(t)},randomNormal:function(t){return new qh(t)},truncatedNormal:function(t){return new Gh(t)},identity:function(t){return new Hh(t)},varianceScaling:function(t){return new Kh(t)},glorotUniform:function(t){return new $h(t)},glorotNormal:function(t){return new Xh(t)},heNormal:function(t){return new Yh(t)},heUniform:function(t){return new Jh(t)},leCunNormal:function(t){return new Zh(t)},leCunUniform:function(t){return new Qh(t)},orthogonal:function(t){return new tf(t)}}),sf=0;function uf(){return sf++}var lf={};function cf(t){return void 0===t&&(t=""),t in lf||(lf[t]=0),lf[t]+=1,t+lf[t].toString()}function pf(t){return Array.isArray(t)&&Array.isArray(t[0])}function hf(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function ff(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new Sp("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function df(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new Sp("Expected exactly 1 Shape; got "+t.length)}return t}function mf(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 gf="Variable",vf=function(){function t(t,e,n,r,i){void 0===e&&(e="float32"),void 0===n&&(n=gf),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=uf(),n=null==n?gf:n,this.originalName=ph(n),this.name=hh(this.originalName),this.trainable_=r,this.constraint=i,this.val=yt(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 yf(t){return t.map(function(t){return t.read()})}function bf(t){t.forEach(function(t){t[0].write(t[1])})}var wf=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||{}},xf=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=uf(),null!=a&&(this.originalName=ph(a),this.name=hh(this.originalName)),this.rank=e.length},Nf=0,Cf=function(){function t(t,e){this.callArgs=e,this.id=Nf++,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}(),Ef=0,Sf=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=Ef++,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=_p(i)+"_"+cf(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 vp(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 Ep("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new Sp("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 Dp(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return Dp(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new Cp("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 Cp("Layer "+this.name+" is not connected, no input to return.");return Dp(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new Cp("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new Cp("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Dp(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=Op(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=Op(this.inputSpec);if(t.length!==e.length)throw new Sp("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 Sp("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new Sp("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 Sp("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 Sp("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var o=r.shape;for(var s in i.axes){var u=Number(s),l=i.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new Sp("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new Sp("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=Op(t),i=!0,a=0,o=r;a<o.length;a++)if(!(o[a]instanceof xf)){i=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof xf){s=!1;break}if(i===s)throw new Sp("Arguments to apply() must be all SymbolicTensors or all Tensors");return ch(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],a=0,o=Op(t);a<o.length;a++){var u=o[a];i.push(u.shape)}n.build(Dp(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var l=[],c=0,p=Op(m=n.call(t,e));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),l.push(h)}if(m=Dp(l),null!=n.activityRegularizer)throw new Ip("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var f=function(t){for(var e=[],n=0,r=t=Op(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return Dp(e)}(t),d=n.computeOutputShape(f),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?f[0]:f),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,i){return new xf(g,r,n,Op(t),e,n.name,i)}):new xf(g,d,n,Op(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new Ip("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},e.prototype.warnOnIncompatibleInputShape=function(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var e=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn("The shape of the input tensor ("+JSON.stringify(t)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(e.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new Cp("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 Cp("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),e.prototype.countParams=function(){if(!this.built)throw new Ep("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return mf(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),yf(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;Re(function(){var n=e.weights;if(n.length!==t.length)throw new Sp('You called setWeights(weights) on layer "'+e.name+'" with a weight list of length '+t.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+t+"...");if(0!==n.length){for(var r=[],i=yf(n),a=0;a<i.length;++a){var o=i[a],s=n[a],u=t[a];if(!Q.arraysEqual(o.shape,u.shape))throw new Sp("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}bf(r)}})},e.prototype.addWeight=function(t,e,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(t))throw new Sp("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=af("zeros"));var s=r.apply(e,n),u=new vf(s,n,t,a,o);return s.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==a&&(a=!0),a?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},e.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},e.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=Op(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},e.prototype.computeOutputShape=function(t){return t},e.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},e.prototype.addInboundNode=function(t,e,n,r,i,a,o){void 0===o&&(o=null);var s=Op(t);e=Op(e),n=Op(n),r=Op(r),i=hf(i),a=hf(a);for(var u=[],l=[],c=[],p=0,h=s;p<h.length;p++){var f=h[p];u.push(f.sourceLayer),l.push(f.nodeIndex),c.push(f.tensorIndex)}new Cf({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var d=0;d<e.length;d++)e[d].sourceLayer=this,e[d].nodeIndex=this.inboundNodes.length-1,e[d].tensorIndex=d},e.prototype.getConfig=function(){var t={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(t.batchInputShape=this.batchInputShape),null!=this.dtype&&(t.dtype=this.dtype),t},e.prototype.disposeWeights=function(){return this.weights.forEach(function(t){return t.dispose()}),this.weights.length},e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}},e}(Yc.Serializable);var If,kf=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:cf("input").toString()})||this;if(null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new Sp("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(null==r){if(null==e.inputShape)throw new Sp("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new Sp("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new xf(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Cf({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return vp(e,t),e.prototype.apply=function(t,e){throw new Sp("Cannot pass any input to an InputLayer's apply() method. 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t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.onEpochEnd=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.onBatchBegin=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.onBatchEnd=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.onTrainBegin=function(t){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.onTrainEnd=function(t){return wp(this,void 0,void 0,function(){return xp(this,function(t){return[2]})})},t.prototype.setModel=function(t){},t}(),_f=function(){function t(t,e){void 0===e&&(e=10),null==t&&(t=[]),this.callbacks=t,this.queueLength=e}return 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Either change `yieldEvery` or remove the callback");return Q.isNumber(r.yieldEvery)&&(r.maybeWait=function(t,e){var n,r=Q.now();return function(){for(var i=[],a=0;a<arguments.length;a++)i[a]=arguments[a];var o=Q.now();return o-r<e?n:(r=o,n=t.apply(void 0,i))}}(r.maybeWait.bind(r),r.yieldEvery)),r.trainBegin=e.onTrainBegin,r.trainEnd=e.onTrainEnd,r.epochBegin=e.onEpochBegin,r.epochEnd=e.onEpochEnd,r.batchBegin=e.onBatchBegin,r.batchEnd=e.onBatchEnd,r.yield=e.onYield,r}return vp(e,t),e.prototype.maybeWait=function(t,e,n){return wp(this,void 0,void 0,function(){var r;return xp(this,function(i){switch(i.label){case 0:return r=[],null==this.yield?[3,2]:[4,Tf(n)];case 1:i.sent(),r.push(this.yield(t,e,n)),i.label=2;case 2:return r.push(mp()),[4,Promise.all(r)];case 3:return i.sent(),[2]}})})},e.prototype.onEpochBegin=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){switch(n.label){case 0:return this.currentEpoch=t,null==this.epochBegin?[3,3]:[4,Tf(e)];case 1:return n.sent(),[4,this.epochBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onEpochEnd=function(t,e){return wp(this,void 0,void 0,function(){var n;return xp(this,function(r){switch(r.label){case 0:return n=[],null==this.epochEnd?[3,2]:[4,Tf(e)];case 1:r.sent(),n.push(this.epochEnd(t,e)),r.label=2;case 2:return"epoch"===this.yieldEvery&&n.push(mp()),[4,Promise.all(n)];case 3:return r.sent(),[2]}})})},e.prototype.onBatchBegin=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,Tf(e)];case 1:return n.sent(),[4,this.batchBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onBatchEnd=function(t,e){return wp(this,void 0,void 0,function(){var n;return xp(this,function(r){switch(r.label){case 0:return n=[],null==this.batchEnd?[3,2]:[4,Tf(e)];case 1:r.sent(),n.push(this.batchEnd(t,e)),r.label=2;case 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Use validationData instead."}),t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,L.label=1;case 1:return L.trys.push([1,,26,27]),i=null!=n.validationData,a=void 0,o=void 0,i&&(kd(n.validationData)?Q.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+n.validationBatches}):(s=function(t){if(3===t.length)throw new Ip("Validation with sample weights is not implemented yet.");return{xs:t[0],ys:t[1]}}(n.validationData),a=s.xs,o=s.ys)),u=t.makeTrainFunction(),l=t.getDedupedMetricsNames(),c=void 0,c=i?l.slice().concat(l.map(function(t){return"val_"+t})):l.slice(),p=Lf(n.callbacks,n.yieldEvery),h=null==n.verbose?1:n.verbose,f=Pf(p,h,n.epochs,null,null,function(t,e){var n=null;return null!=e.batchesPerEpoch?n=e.batchesPerEpoch:Number.isFinite(t.size)&&(n=t.size),n}(e,n),null,i,c),d=f.callbackList,m=f.history,d.setModel(t),t.history=m,[4,d.onTrainBegin()];case 2:return L.sent(),t.stopTraining_=!1,g=null==n.initialEpoch?0:n.initialEpoch,[4,e.iterator()];case 3:v=L.sent(),L.label=4;case 4:return g<n.epochs?(y={},[4,d.onEpochBegin(g)]):[3,23];case 5:return L.sent(),b=0,w=0,r?[3,7]:[4,e.iterator()];case 6:v=L.sent(),L.label=7;case 7:return!r||b<n.batchesPerEpoch?[4,v.next()]:[3,21];case 8:return x=L.sent(),r&&x.done?(console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+b+" batches; interrupting training. 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You may need to use the repeat() function when building your dataset."),[3,21]):null==x.value?[3,15]:(N=Ed(t,x.value),C=N.xs,E=N.ys,(S={}).batch=w,S.size=C[0].shape[0],[4,d.onBatchBegin(w,S)]);case 9:if(L.sent(),I=[],null==n.classWeight)return[3,13];k=wd(n.classWeight,t.outputNames),M=0,L.label=10;case 10:return M<k.length?(T=(A=I).push,[4,xd(E[M],null,k[M])]):[3,13];case 11:T.apply(A,[L.sent()]),L.label=12;case 12:return++M,[3,10];case 13:for(R=C.concat(E).concat(I),D=u(R),De(R),M=0;M<l.length;++M)O=l[M],_=D[M],S[O]=_,Oe(_);return[4,d.onBatchEnd(w,S)];case 14:L.sent(),Rf(S),w++,b++,L.label=15;case 15:return(r?b>=n.batchesPerEpoch:x.done)?i?(z=void 0,kd(n.validationData)?(F=Op,[4,t.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return z=F.apply(void 0,[L.sent()]),[3,18];case 17:z=Op(t.evaluate(a,o,{batchSize:null==n.validationBatchSize?Cd:n.validationBatchSize,verbose:0})),L.label=18;case 18:for(M=0;M<t.metricsNames.length;++M)y["val_"+t.metricsNames[M]]=z[M];L.label=19;case 19:return[3,21];case 20:return t.stopTraining_?[3,21]:[3,7];case 21:return[4,d.onEpochEnd(g,y)];case 22:return L.sent(),g++,t.stopTraining_?[3,23]:[3,4];case 23:return[4,d.onTrainEnd()];case 24:return L.sent(),[4,t.history.syncData()];case 25:return L.sent(),[2,t.history];case 26:return t.isTraining=!1,[7];case 27:return[2]}})})}function kd(t){return"function"==typeof t.iterator}function Ad(t){Q.assert(t>0&&Number.isInteger(t),function(){return"batchSize is required to be a positive integer, but got "+t})}function Td(t,e,n){return null==t?[null]:Array.isArray(t)?t.map(function(t){return Ch(t,e,n-e)}):Ch(t,e,n-e)}function Rd(t,e){return Re(function(){return null==t?null:Array.isArray(t)?t.map(function(t){return Rd(t,e)}):Dh(t,"int32"===e.dtype?e:e.toInt())})}function Dd(t,e){for(var n=[],r=0,i=null;r<t;)(i=r+e)>=t&&(i=t),n.push([r,i]),r=i;return n}function Od(t,e,n,r){return void 0===r&&(r={}),wp(this,void 0,void 0,function(){var i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b,w,x,N,C,E,S;return xp(this,function(I){switch(I.label){case 0:if(t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,I.label=1;case 1:return I.trys.push([1,,7,8]),Ad(p=null==r.batchSize?32:r.batchSize),h=!1,[4,t.standardizeUserData(e,n,r.sampleWeight,r.classWeight,h,p)];case 2:if(f=I.sent(),i=f[0],a=f[1],c=f[2],d=!1,m=void 0,!(null!=r.validationData&&r.validationData.length>0))return[3,4];if(d=!0,2!==r.validationData.length)throw 3===r.validationData.length?new Ip("validationData including sample weights is not supported yet."):new Sp("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; 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Need data for each key in: '+e);s.push(t[c])}}else if(Fd(t)){if((t=t).length!==e.length)throw new Sp("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+e.length+" Tensor(s), but instead got the following list of Tensor(s): "+t);s=t}else{if(t=t,e.length>1)throw new Sp("The model "+i+" expects "+e.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+t.shape);s=[t]}if(s=_d(s),null!=n)for(var p=0;p<e.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new Sp("Error when checking "+i+": expected "+e[p]+" to have "+n[p].length+" dimension(s). but got array with shape "+h.shape);for(var f=0;f<n[p].length;++f)if(0!==f||r){var d=h.shape[f],m=n[p][f];if(null!=m&&m>=0&&d!==m)throw new Sp("Error when checking "+i+": expected "+e[p]+" to have shape ["+n[p]+"], but got array with shape ["+h.shape+"].")}}return s}function Bd(t,e,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=""),Array.isArray(t)){if(t.length!==e.length)throw new Sp("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see "+e.length+" Tensor(s), but instead got "+t.length+" Tensors(s).");a=t}else{if(e.length>1)throw new Sp("The model expects "+e.length+" "+i+" Tensors, but only received one Tensor. 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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;Ad(r);var i=this.standardizeUserDataXY(t,e,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return Dp(this.testLoop(o,a,r,n.verbose,n.steps))}finally{zd(i[0],t),zd(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return wp(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h;return xp(this,function(f){switch(f.label){case 0:if(r=null!=(n=n||{}).batches,i=t.testFunction,a=[],n.verbose>0)throw new Ip("Verbose mode is not implemented yet.");return Q.assert(!r||n.batches>0&&Number.isInteger(n.batches),function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)}),function(t){return"function"==typeof t.next}(e)?(s=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:s=f.sent(),f.label=3;case 3:o=s,u=0,l=0,c=function(){var e;return xp(this,function(s){switch(s.label){case 0:return[4,o.next()];case 1:return e=s.sent(),a=Re(function(){if(e.value){var n=Ed(t,e.value),r=n.xs,o=n.ys,s=r.concat(o),c=Re(function(){return i(s)});if(De(s),0===l)for(var p=0;p<c.length;++p)a.push(en(0));var h=s[0].shape[0],f=function(t){var e=c[t],n=a[t];a[t]=Re(function(){return yu(a[t],Du(h,e))}),l>0&&De(n)};for(p=0;p<c.length;++p)f(p);De(c),u+=h,++l}return a}),e.done?(r&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return!r||l<n.batches?[5,c()]:[3,6];case 5:return"break"===f.sent()?[3,6]:[3,4];case 6:for(p=0;p<a.length;++p)h=a[p],a[p]=Nu(a[p],u),De(h);return[2,Dp(a)]}})})}(this,t,e)]})})},e.prototype.checkNumSamples=function(t,e,n,r){var i;if(void 0===r&&(r="steps"),null!=n){if(i=null,null!=e)throw new Sp("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new Sp("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 Sp("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],i=this.retrieveSymbolicTensors(r),a=new dd;if(t instanceof ht&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new Sp("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],t[o])}else for(var s=0,u=this.inputs;s<u.length;s++){var l=u[s],c=t[l.name];if(null==c)throw new Sp("No value is provided for the model's input "+l.name);a.add(l,c)}var p=vd(i,a);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=Ap(null,t.length),n=t.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(t){return t.name}),u=0;u<t.length;++u){var l=s.indexOf(t[u]);if(-1!==l&&(e[u]=o[l],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw e.forEach(function(e,n){null==e&&c.push(t[n])}),new Sp("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return e},e.prototype.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),Re(function(){var i=r.checkNumSamples(t);if(n)throw new Ip("Verbose predictLoop() is not implemented yet.");for(var a=Dd(i,e),o=r.outputs.map(function(t){return[]}),s=function(e){Re(function(){var n=a[e][0],i=a[e][1],o=Td(t,n,i),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new dd(s);return vd(r.outputs,l)}).forEach(function(t,e){return o[e].push(t)})},u=0;u<a.length;++u)s(u);return Dp(o.map(function(t){return gn(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=_d(t);Bd(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return Ad(r),this.predictLoop(n,r)}finally{zd(n,t)}},e.prototype.predictOnBatch=function(t){return Bd(t,this.inputNames,this.feedInputShapes,!0),this.predictLoop(t,t.shape[0])},e.prototype.standardizeUserDataXY=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new Ep("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===Hf?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(function(t,e,n){var r=Pp(t.map(function(t){return t.shape[0]}));r.sort();var i=Pp(e.map(function(t){return t.shape[0]}));if(i.sort(),r.length>1)throw new Sp("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(i.length>1)throw new Sp("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(r.length>0&&i.length>0&&!Q.arraysEqual(r,i))throw new Sp("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+i[0]+" target sample(s).")}(t=Ld(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=Ld(e,this.feedOutputNames,i,!1,"target")),function(t,e,n){for(var r=[Uf,Kf,Gf],i=0;i<t.length;++i){var a=t[i],o=e[i],s=n[i];if(null!=o){if(o===Gf&&1===a.shape[a.shape.length-1])throw new Sp("You are passing a target array of shape "+a.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=a.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new Sp("A target Tensor with shape "+a.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new Sp("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e]},e.prototype.standardizeUserData=function(t,e,n,r,i,a){return void 0===i&&(i=!0),wp(this,void 0,void 0,function(){var o,s,u,l,c,p,h,f;return xp(this,function(d){switch(d.label){case 0:if(o=this.standardizeUserDataXY(t,e,i,a),s=o[0],u=o[1],null!=n)throw new Error("sample weight is not supported yet.");if(l=null,null==r)return[3,4];c=wd(r,this.outputNames),l=[],p=0,d.label=1;case 1:return p<c.length?(f=(h=l).push,[4,xd(u[p],null,c[p])]):[3,4];case 2:f.apply(h,[d.sent()]),d.label=3;case 3:return++p,[3,1];case 4:return[2,[s,u,l]]}})})},e.prototype.testLoop=function(t,e,n,r,i){var a=this;return void 0===r&&(r=0),Re(function(){var o=a.checkNumSamples(e,n,i,"steps"),s=[];if(r>0)throw new Ip("Verbose mode is not implemented yet.");if(null!=i)throw new Ip("steps mode in testLoop() is not implemented yet");for(var u=Dd(o,n),l=nn(wh(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=Ch(l,p,h-p),d=Rd(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(en(0));for(g=0;g<m.length;++g){var v=m[g];s[g]=yu(s[g],Du(h-p,v))}}for(g=0;g<s.length;++g)s[g]=Nu(s[g],o);return s})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;Rp(t,r)>1&&(i+="_"+Rp(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=[],r=e.slice(0,t.inputs.length),i=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),a=e.slice(t.inputs.length+t.outputs.length,t.inputs.length+2*t.outputs.length),o=[],s=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer_.minimize(function(){for(var e=[],s=0;s<t.inputs.length;++s)e.push({key:t.inputs[s],value:r[s]});var u,l=new dd(e),c=vd(t.outputs,l,{training:!0});for(s=0;s<t.lossFunctions.length;++s){var p=(0,t.lossFunctions[s])(i[s],c[s]);null!=a[s]&&(p=Nd(p,a[s]));var h=eu(p);n.push(h),u=0===s?p:yu(u,p)}for(s=0;s<t.metricsTensors.length;++s){var f=void 0;if(t.outputs.length>1&&s<t.outputs.length)f=n[s];else{var d=t.metricsTensors[s][0],m=t.metricsTensors[s][1];f=eu(d(i[m],c[m]))}Oe(f),o.push(f)}return u=eu(u),t.calculateLosses().forEach(function(t){u=yu(u,t)}),u},!0,s)].concat(o)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return Re(function(){for(var n,r=[],i=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=[],s=0;s<t.inputs.length;++s)o.push({key:t.inputs[s],value:i[s]});var u=new dd(o),l=vd(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=eu(c(a[s],l[s]));n=0===s?p:yu(n,p),r.push(n)}for(s=0;s<t.metricsTensors.length;++s){var h=t.metricsTensors[s][0],f=t.metricsTensors[s][1],d=eu(h(a[f],l[f]));r.push(d)}return r})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),wp(this,void 0,void 0,function(){return xp(this,function(r){return[2,Od(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){return[2,Id(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return wp(this,void 0,void 0,function(){var n,r,i,a,o,s,u,l,c;return xp(this,function(p){switch(p.label){case 0:return[4,this.standardizeUserData(t,e)];case 1:n=p.sent(),r=n[0],i=n[1],a=this.makeTrainFunction(),o=a(r.concat(i)),s=[],u=0,l=o,p.label=2;case 2:return u<l.length?[4,l[u].data()]:[3,5];case 3:c=p.sent(),s.push(c[0]),p.label=4;case 4:return u++,[3,2];case 5:return De(o),[2,Dp(s)]}})})},e.prototype.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||e.push({name:r[a].originalName,tensor:i[a]});return e},Object.defineProperty(e.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(t){this.optimizer_!==t&&(this.optimizer_=t,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),e.prototype.dispose=function(){var e=t.prototype.dispose.call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=Te().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Te().numTensors}return e},e.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=_p(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 _p(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]=_p(i[s])}}return t},e.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[_p(sd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(t){return _p(sd(t))});var t={};for(var e in this.metrics)t[e]=_p(sd(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=Vf(fd(t.optimizer_config));if("string"==typeof t.loss)e=zp(t.loss);else if(Array.isArray(t.loss))e=t.loss.map(function(t){return zp(t)});else if(null!=t.loss)for(var i in e={},t.loss)e[i]=zp(t.loss[i]);if(Array.isArray(t.metrics))n=t.metrics.map(function(t){return zp(t)});else if(null!=t.metrics)for(var i in n={},t.metrics)n[i]=zp(t.metrics[i]);this.compile({loss:e,metrics:n,optimizer:r})},e.prototype.save=function(t,e){return wp(this,void 0,void 0,function(){var n,r,i,a,o,s,u,l,c,p,h,f,d;return xp(this,function(m){switch(m.label){case 0:if("string"==typeof t){if(0===(r=Uc.getSaveHandlers(t)).length)throw new Sp("Cannot find any save handlers for URL '"+t+"'");if(r.length>1)throw new Sp("Found more than one ("+r.length+") save handlers for URL '"+t+"'");t=r[0]}if(null==t.save)throw new Sp("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,Uc.encodeWeights(this.getNamedWeights(e))];case 1:return i=m.sent(),a=!1,o=null,s=this.toJSON(o,a),u={modelTopology:s,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.2.6",convertedBy:null},null!=e&&e.includeOptimizer&&null!=this.optimizer?(u.trainingConfig=this.getTrainingConfig(),l="optimizer",d=(f=Uc).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,d.apply(f,[m.sent(),l])];case 3:c=m.sent(),p=c.data,h=c.specs,(n=i.specs).push.apply(n,h),i.data=Uc.concatenateArrayBuffers([i.data,p]),m.label=4;case 4:return u.weightData=i.data,u.weightSpecs=i.specs,[2,t.save(u)]}})})},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=cf(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],Pp(r.inputs).length!==r.inputs.length)throw new Sp("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}));Pp(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(t){return t.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(I=o[a]).sourceLayer,u=I.nodeIndex,l=I.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(l)}for(var c=0,p=r.inputs;c<p.length;c++)s=(I=p[c]).sourceLayer,u=I.nodeIndex,l=I.tensorIndex,Tp(0===u,"input layer has >1 nodes"),Tp(0===l,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(l);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof kf))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+h+" (0-based) originates from layer type "+s.getClassName()+".");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var f=0,d=r.outputLayers;f<d.length;f++)s=d[f],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map(function(t){return t.shape}),r.internalOutputShapes=r.outputs.map(function(t){return t.shape});for(var m={},g={},v={},y={},b={},w=[],x=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 Ep("The tensor "+t.name+' at layer "'+a.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(u)&&i.push(u);for(var l=u.inboundLayers.length,c=0;c<l;c++){var p=u.inputTensors[c],h=u.inboundLayers[c],f=u.nodeIndices[c],d=u.tensorIndices[c];x(p,n,i,h,f,d)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);w.push(u)}},N=[],C=[],E=0,S=r.outputs;E<S.length;E++){var I=S[E];x(I,N,C)}for(var k=0,A=w.slice().reverse();k<A.length;k++){g[(Y=A[k]).id]=Y,Y.id in m||(m[Y.id]=0);var T=m[Y.id],R=null==v[Y.outboundLayer.id]?0:v[Y.outboundLayer.id];for(T=Math.max(T,R),v[Y.outboundLayer.id]=T,y[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=T,h=0;h<Y.inboundLayers.length;h++){var D=Y.inboundLayers[h],O=(u=Y.nodeIndices[h],D.inboundNodes[u]),_=null==m[O.id]?0:m[O.id];m[O.id]=Math.max(T+1,_),g[O.id]=O}}var z={};for(var F in m)(T=m[F])in z||(z[T]=[]),z[T].push(g[F]);var M={};for(var L in v)(T=v[L])in M||(M[T]=[]),M[T].push(y[L]);var B=Object.keys(M).map(function(t){return parseInt(t,10)}).sort(Bp);r.layers=[];for(var P=0,V=B;P<V.length;P++){var W=M[T=V[P]];W.sort(function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0});for(var U=0,j=W;U<j.length;U++)s=j[U],r.layers.push(s)}r.layersByDepth=M,B=Object.keys(z).map(function(t){return parseInt(t,10)}).sort(Bp);for(var q=r.inputs.slice(),G=[],H=0,K=B;H<K.length;H++)for(var $=0,X=z[T=K[H]];$<X.length;$++){var Y;if(null!=(s=(Y=X[$]).outboundLayer)){for(var J=0,Z=Y.inputTensors;J<Z.length;J++)if(I=Z[J],-1===q.indexOf(I))throw new Ep("Graph disconnected: cannot obtain value for tensor "+I+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+G);for(var Q=0,tt=Y.outputTensors;Q<tt.length;Q++)I=tt[Q],q.push(I);G.push(s.name)}}r.nodesByDepth=z;for(var et=r.layers.map(function(t){return t.name}),nt=function(t){var e=et.filter(function(e){return e===t}).length;if(1!==e)throw new Ep('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(et))},rt=0,it=et;rt<it.length;rt++)nt(it[rt]);return r.outboundNodes=[],r.inboundNodes=[],new Cf({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 vp(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}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 Sp("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 Sp("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var l=[];for(var c in t){if(null!=n[c])l.push([n[c],t[c]]);else if(e)throw new Sp("Provided weight data has no target variable: "+c);delete n[c]}if(e){var p=[];for(var h in n)p.push(h);if(p.length>0)throw new Sp(p.length+" of "+r+" weights are not set: "+p)}bf(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.2.6",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 _p(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];hd(n,a,o)?r.push(o):r.push(t(o,n))}return r}for(var s={},u=0,l=Object.keys(e);u<l.length;u++){var c=l[u],p=e[c];s[_p(c)]="name"!==c&&"className"!==c||"string"!=typeof p?t(p,c):p}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return Re(function(){t=Op(t);for(var r=new dd,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return vd(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return Re(function(){var r;return t=Op(t),r=null==e?Ap(null,t.length):Op(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=hf(t);if(e.length!==this.inputLayers.length)throw new Sp("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(Bp);if(o.length>1)for(var s=0,u=o;s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){var h=p[c];if(i=h.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],v=h.tensorIndices[d],y=n[C=m.name+"_"+g+"_"+v];f.push(y)}var b=hf(i.computeOutputShape(Dp(f))),w=i.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[C=i.name+"_"+w+"_"+d]=b[d]}}var x=[],N=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],v=this.outputLayersTensorIndices[r];var C=i.name+"_"+w+"_"+v;N.push(C)}for(r=0;r<N.length;r++){var E=N[r];Tp(E in n),x.push(n[E])}return Dp(x)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=Ap(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(Bp);s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){for(var h=p[c],f=h.outboundLayer,d=h.inputTensors,m=h.outputTensors,g=new Array,v=0,y=d;v<y.length;v++)(i=y[v]).id in n&&g.push(n[i.id]);if(g.length===d.length){var b={},w=void 0,x=void 0,N=void 0,C=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var E=g[0],S=E[0],I=E[1];null==b.mask&&(b.mask=I),N=Op(f.call(S,b)),C=Op(f.computeMask(S,I)),w=[S],x=[I]}else w=g.map(function(t){return t[0]}),x=g.map(function(t){return t[1]}),null==b.mask&&(b.mask=x),N=Op(f.call(w,b)),C=Op(f.computeMask(w,x));if(f.activityRegularizer)throw new Ip("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<m.length;++r)i=m[r],a=N[r],o=C[r],n[i.id]=[a,o]}}for(var k=[],A=[],T=[],R=0,D=this.outputs;R<D.length;R++){Tp((i=D[R]).id in n,"Could not compute output "+i.name+" : "+i.id);var O=n[i.id],_=O[0];o=O[1],T.push(_.shape),k.push(_),A.push(o)}return[k,A,T]},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 Sp("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 Sp("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 Sp("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return Re(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=(w=a[i]).getClassName(),s=w.getConfig(),u=[],l=0;l<w.inboundNodes.length;l++){var c=w.inboundNodes[l],p=e.nodeKey(w,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+w.name+" was passed non-serializable keyword arguments: "+c.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),h={}}if(c.inboundLayers.length>0){for(var f=[],d=0;d<c.inboundLayers.length;d++){var m=c.inboundLayers[d],g=c.nodeIndices[d],v=c.tensorIndices[d];null==(N=n[e.nodeKey(m,g)])&&(N=0),f.push([m.name,N,v,h])}u.push(f)}}}var y={};y.name=w.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var w=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p)&&(null!==(N=n[p])&&void 0!==N||(N=0),v=this.inputLayersTensorIndices[d],b.push([w.name,N,v]))}t.inputLayers=b;var x=[];for(d=0;d<this.outputLayers.length;d++){var N;if(w=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p))null!==(N=n[p])&&void 0!==N||(N=0),v=this.outputLayersTensorIndices[d],x.push([w.name,N,v])}return t.outputLayers=x,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},a={};function o(t,e){t.name in a?a[t.name].push(e):a[t.name]=[e]}function s(t,e){for(var n,r=[],a=0,s=e;a<s.length;a++){var u=s[a],l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in i))return void o(t,e);var h=i[l];if(h.inboundNodes.length<=c)return void o(t,e);var f=h.inboundNodes[c];r.push(f.outputTensors[p])}r.length>0&&t.apply(Dp(r),n)}function u(t){var n=t.name,a=Vf(t,null!=e.customObjects?e.customObjects:{});a.setFastWeightInitDuringBuild(r),i[n]=a,t.inboundNodes.forEach(function(t){if(!(t instanceof Array))throw new Sp("Corrupted configuration, expected array for nodeData: "+t);o(a,t)})}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!Vp(a);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((T=i[m.name]).name in a){var g=a[T.name];delete a[T.name];for(var v=0,y=g;v<y.length;v++)s(T,y[v])}}for(var b=[],w=[],x=0,N=e.inputLayers;x<N.length;x++){var C=(m=N[x])[0],E=m[1],S=m[2];Tp(C in i);var I=(T=i[C]).inboundNodes[E].outputTensors;b.push(I[S])}for(var k=0,A=e.outputLayers;k<A.length;k++){var T;C=(m=A[k])[0],E=m[1],S=m[2],Tp(C in i),I=(T=i[C]).inboundNodes[E].outputTensors,w.push(I[S])}return new t({inputs:b,outputs:w,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new Sp("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;Re(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(Sf));function Vd(t,e){return wp(this,void 0,void 0,function(){var n;return xp(this,function(r){if(null==e&&(e={}),"string"==typeof t){if(0===(n=Uc.getLoadHandlers(t,e.onProgress)).length)n.push(Uc.browserHTTPRequest(t,e));else if(n.length>1)throw new Sp("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return wp(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p;return xp(this,function(h){switch(h.label){case 0:if(null==n&&(n={}),null==t.load)throw new Sp("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(r=h.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=null==n.strict||n.strict,o=null!=r.weightData&&null!=r.weightSpecs&&a,s=Vf(fd(i),e,o),null!=(u=r.trainingConfig)&&s.loadTrainingConfig(u),null==r.weightData)return[3,4];if(null==r.weightSpecs)throw new Sp("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return l=function(t,e){var n=Uc.decodeWeights(t,e),r={},i=[];return e.forEach(function(t){"optimizer"===t.group?i.push({name:t.name,tensor:n[t.name]}):r[t.name]=n[t.name]}),{modelWeights:r,optimizerWeights:i}}(r.weightData,r.weightSpecs),c=l.modelWeights,p=l.optimizerWeights,s.loadWeights(c,a),null!=s.optimizer&&p.length>0?[4,s.optimizer.setWeights(p)]:[3,3];case 2:h.sent(),h.label=3;case 3:De(c),De(p.map(function(t){return t.tensor})),h.label=4;case 4:return[2,s]}})})}(t,void 0,e)]})})}Yc.registerClass(Pd);var Wd=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:cf("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 vp(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new Sp("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 Pd;if(r){if(1!==(n=t).outputs.length)throw new Sp("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 Sp("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 Sp("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=Af({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 Sp("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 Sp("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];var i=n.inboundNodes[r];if(0===i.inboundLayers.length)return i.inputTensors;for(var a=[],o=0;o<i.inboundLayers.length;o++)for(var s=0,u=t(i.inputTensors[o],i.inboundLayers[o],i.nodeIndices[o]);s<u.length;s++){var l=u[s];-1===a.indexOf(l)&&a.push(l)}return a}(this.outputs[0])}this.inboundNodes=[],new Cf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Ap(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(df(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 Pd({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 Ep("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){if(!this.built)throw new Ep("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(t,e)]})})},e.prototype.predict=function(t,e){return void 0===e&&(e={}),null==this.model&&this.build(),this.model.predict(t,e)},e.prototype.predictOnBatch=function(t){return null==this.model&&this.build(),this.model.predictOnBatch(t)},e.prototype.compile=function(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},Object.defineProperty(e.prototype,"optimizer",{get:function(){return null==this.model?void 0:this.model.optimizer},set:function(t){this.model.optimizer=t},enumerable:!0,configurable:!0}),e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),wp(this,void 0,void 0,function(){return xp(this,function(r){if(!this.built)throw new Ep("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){if(!this.built)throw new Ep("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},e.prototype.trainOnBatch=function(t,e){return wp(this,void 0,void 0,function(){return xp(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},e.fromConfig=function(t,n,r,i){var a;void 0===r&&(r={}),void 0===i&&(i=!1);var o={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new Sp("Legacy serialization format not supported yet.");a=n}else Q.assert(null!=n.layers,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),a=n.layers,delete n.layers,o=n;var s=new t(o);if(!(s instanceof e))throw new Ip("Sequential.fromConfig called on non-Sequential input: "+s);for(var u=0,l=a;u<l.length;u++){var c=Vf(l[u],void 0,i);i&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},Object.defineProperty(e.prototype,"stopTraining",{get:function(){if(null==this.model)throw new Sp("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(t){if(null==this.model)throw new Sp("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e],i={};i.className=r.getClassName(),i.config=r.getConfig(),t.push(i)}return t},e.className="Sequential",e}(Pd);function Ud(t){return Af(t)}Yc.registerClass(Wd);var jd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.getConfig=function(){return{}},e}(Yc.Serializable),qd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=1),function(t,e){if(void 0===e&&(e=1),1!==e)throw new Ip("Support for alpha values other than 1 ("+e+") is not implemented yet.");return Gu(t)}(t,e)},e.className="elu",e}(jd);Yc.registerClass(qd);var Gd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return Xu(t)},e.className="selu",e}(jd);Yc.registerClass(Gd);var Hd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return $u(t)},e.className="relu",e}(jd);Yc.registerClass(Hd);var Kd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return Re(function(){return ku(6,$u(t))})},e.className="relu6",e}(jd);Yc.registerClass(Kd);var $d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(jd);Yc.registerClass($d);var Xd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return Ko(t)},e.className="sigmoid",e}(jd);Yc.registerClass(Xd);var Yd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return function(t){return Re(function(){var e=yu(.5,Du(.2,t));return _o(e,0,1)})}(t)},e.className="hardSigmoid",e}(jd);Yc.registerClass(Yd);var Jd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return ts(t)},e.className="softplus",e}(jd);Yc.registerClass(Jd);var Zd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return function(t){return Re(function(){return Nu(t,So(t).add(1))})}(t)},e.className="softsign",e}(jd);Yc.registerClass(Zd);var Qd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t){return as(t)},e.className="tanh",e}(jd);Yc.registerClass(Qd);var tm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Cr(t,e)},e.className="softmax",e}(jd);Yc.registerClass(tm);var em=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Er(t,e)},e.className="logSoftmax",e}(jd);function nm(t){return t.getClassName()}function rm(t,e){return void 0===e&&(e={}),Lp(t,Yc.SerializationMap.getMap().classNameMap,e,"activation")}function im(t){var e;return null==t?rm(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},rm(e)):t instanceof jd?t:rm(t)}Yc.registerClass(em);var am=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e}(Yc.Serializable),om=function(t){function e(e){var n=t.call(this)||this;return n.l1=null==e||null==e.l1?.01:e.l1,n.l2=null==e||null==e.l2?.01:e.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}return vp(e,t),e.prototype.apply=function(t){var e=this;return Re(function(){var n=cn([1]);return e.hasL1&&(n=yu(n,iu(Du(e.l1,So(t))))),e.hasL2&&(n=yu(n,iu(Du(e.l2,Oh(t))))),n.asScalar()})},e.prototype.getConfig=function(){return{l1:this.l1,l2:this.l2}},e.fromConfig=function(t,e){return new t({l1:e.l1,l2:e.l2})},e.className="L1L2",e}(am);Yc.registerClass(om);var sm={l1l2:"L1L2"};function um(t){return Mp(t)}function lm(t,e){return void 0===e&&(e={}),Lp(t,Yc.SerializationMap.getMap().classNameMap,e,"regularizer")}function cm(t){return null==t?null:"string"==typeof t?lm({className:t in sm?sm[t]:t,config:{}}):t instanceof am?t:lm(t)}var pm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,null!=e&&(n.maxValue=e.maxValue),n}return vp(e,t),e.prototype.call=function(t,e){t=ff(t);var n=$u(t);return null!=this.maxValue&&(n=_o(n,0,this.maxValue)),n},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={maxValue:this.maxValue},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ReLU",e}(Sf);Yc.registerClass(pm);var hm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_ALPHA=.3,null==e&&(e={}),n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return vp(e,t),e.prototype.call=function(t,e){var n=ff(t);return Hu(n,this.alpha)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LeakyReLU",e}(Sf);Yc.registerClass(hm);var fm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),n.supportsMasking=!0,n.alphaInitializer=af(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=cm(e.alphaRegularizer),n.alphaConstraint=Qp(e.alphaConstraint),null==e.sharedAxes)n.sharedAxes=null;else if(Array.isArray(e.sharedAxes))n.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new Sp("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return vp(e,t),e.prototype.build=function(t){var e=(t=df(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(a=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var a=1;a<t.length;++a)i[a]=t[a];this.inputSpec=[new wf({ndim:t.length,axes:i})],this.built=!0},e.prototype.call=function(t,e){return t=ff(t),Ku(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:rf(this.alphaInitializer),alphaRegularizer:um(this.alphaRegularizer),alphaConstraint:Jp(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(Sf);Yc.registerClass(fm);var dm=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 Ip("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 vp(e,t),e.prototype.call=function(t,e){var n=ff(t);return Gu(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}(Sf);Yc.registerClass(dm);var mm=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 vp(e,t),e.prototype.call=function(t,e){var n=ff(t);return n.mul(xh(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}(Sf);Yc.registerClass(mm);var gm=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 tm).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return vp(e,t),e.prototype.call=function(t,e){var n=ff(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}(Sf);function vm(t,e,n){if("number"==typeof t)return Ap(t,e);if(t.length!==e)throw new Sp("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(!mh(i))throw new Sp("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 ym(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 bm(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+bh([n-e,0]);else{if("same"!==r)throw new Sp("Unsupport padding mode: "+r+".");t*=e}return t}function wm(t,e){return Re(function(){return oh(e),"channelsFirst"===e?Yu(t,[0,2,3,1]):t})}function xm(t,e,n,r,i,a,o){return void 0===r&&(r=[1,1,1]),void 0===i&&(i="valid"),Re(function(){if(null==a&&(a="channelsLast"),oh(a),4!==t.rank&&5!==t.rank)throw new Sp("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new Sp("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var s=function(t,e){return Re(function(){return oh(e),"channelsFirst"===e?Yu(t,[0,2,3,4,1]):t})}(t,a);if("causal"===i)throw new Ip("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=Ss(s,e,r,"same"===i?"same":"valid","NDHWC",o),null!=n&&(s=zh(s,n)),"channelsFirst"===a&&(s=Yu(s,[0,4,1,2,3])),s})}Yc.registerClass(gm);var Nm=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,jp(i.rank,"rank"),1!==i.rank&&2!==i.rank&&3!==i.rank)throw new Ip("Convolution layer for rank other than 1, 2, or 3 ("+i.rank+") is not implemented yet.");if(i.kernelSize=vm(r.kernelSize,n,"kernelSize"),i.strides=vm(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,sh(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,oh(i.dataFormat),i.activation=im(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=af(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=Qp(r.biasConstraint),i.biasRegularizer=cm(r.biasRegularizer),i.activityRegularizer=cm(r.activityRegularizer),i.dilationRate=vm(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new Sp("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 Sp("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 Sp("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(i.dilationRate));return i}return vp(e,t),e.verifyArgs=function(t){if(Tp("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!Up(t.kernelSize,"number",1,3))throw new Sp("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:nm(this.activation),useBias:this.useBias,biasInitializer:rf(this.biasInitializer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),biasConstraint:Jp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Sf),Cm=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,jp(i.filters,"filters"),i.kernelInitializer=af(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=Qp(r.kernelConstraint),i.kernelRegularizer=cm(r.kernelRegularizer),i}return vp(e,t),e.prototype.build=function(t){var e;t=df(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new Sp("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 Re(function(){var e;t=ff(t);var r=null==n.bias?null:n.bias.read();if(1===n.rank)e=function(t,e,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i="valid"),void 0===o&&(o=1),Re(function(){if(null==a&&(a="channelsLast"),oh(a),3!==t.shape.length)throw new Sp("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new Sp("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new Sp("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===a&&(t=Yu(t,[0,2,1])),"causal"===i)throw new Ip("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=Cs(t,e,r,"same"===i?"same":"valid","NWC",o);return null!=n&&(s=zh(s,n)),s})}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=function(t,e,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i="valid"),Re(function(){if(null==a&&(a="channelsLast"),oh(a),3!==t.rank&&4!==t.rank)throw new Sp("conv2dWithBias expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new Sp("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+t.rank+".");var s=wm(t,a);if("causal"===i)throw new Ip("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s=Es(s,e,r,"same"===i?"same":"valid","NHWC",o),null!=n&&(s=zh(s,n)),"channelsFirst"===a&&(s=Yu(s,[0,3,1,2])),s})}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new Ip("convolutions greater than 3D are not implemented yet.");e=xm(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}return null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=df(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=ym(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:rf(this.kernelInitializer),kernelRegularizer:um(this.kernelRegularizer),kernelConstraint:Jp(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 Sp("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(Nm),Em=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return vp(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&&!Up(t.kernelSize,"number",1,2))throw new Sp("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(Cm);Yc.registerClass(Em);var Sm=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return vp(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 Sp("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(Cm);Yc.registerClass(Sm);var Im=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new wf({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new Sp("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return vp(e,t),e.prototype.build=function(t){var e;if(4!==(t=df(t)).length)throw new Sp("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 Sp("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 wf({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Re(function(){var e=ff(t);if(4!==e.shape.length)throw new Sp("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,i,a=e.shape,o=a[0];"channelsFirst"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],u=a[i],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,bm(s,p,l,n.padding),bm(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Yu(e,[0,2,3,1]));var d=Ts(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=Yu(d,[0,3,1,2])),null!=n.bias&&(d=zh(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=df(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]=bm(i[n],s,a,this.padding),i[r]=bm(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}(Em);Yc.registerClass(Im);var km=function(t){function e(e){return t.call(this,2,e)||this}return vp(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 Sp("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new Sp("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 Sp("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=af(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=cm(n.depthwiseRegularizer),r.depthwiseConstraint=Qp(n.depthwiseConstraint),r.pointwiseInitializer=af(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=cm(n.pointwiseRegularizer),r.pointwiseConstraint=Qp(n.pointwiseConstraint),r}return vp(e,t),e.prototype.build=function(t){var e;if((t=df(t)).length<this.rank+2)throw new Sp("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 Sp("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 wf({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Re(function(){var e;if(t=ff(t),1===n.rank)throw new Ip("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Yu(t,[0,2,3,1])),e=As(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=zh(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Yu(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=rf(this.depthwiseInitializer),e.pointwiseInitializer=rf(this.pointwiseInitializer),e.depthwiseRegularizer=um(this.depthwiseRegularizer),e.pointwiseRegularizer=um(this.pointwiseRegularizer),e.depthwiseConstraint=Jp(this.depthwiseConstraint),e.pointwiseConstraint=Jp(this.pointwiseConstraint),e},e.className="SeparableConv",e}(Cm));Yc.registerClass(km);var Am=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return vp(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&&!Up(t.kernelSize,"number",1,1))throw new Sp("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(Cm);Yc.registerClass(Am);var Tm=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 vp(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 Re(function(){return t=ff(t),"channelsLast"===n.dataFormat?Sh(Sh(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):Sh(Sh(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}(Sf);Yc.registerClass(Tm);var Rm=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 vp(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 Re(function(){var e=ff(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=Yu(e,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=e.resizeNearestNeighbor([i,a]);return Yu(o,[0,3,1,2])}return i=n.size[0]*r[1],a=n.size[1]*r[2],e.resizeNearestNeighbor([i,a])})},e.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="UpSampling2D",e}(Sf);Yc.registerClass(Rm);var Dm=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=af(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Qp(e.depthwiseConstraint),n.depthwiseRegularizer=cm(e.depthwiseRegularizer),n}return vp(e,t),e.prototype.build=function(t){if((t=df(t)).length<4)throw new Sp("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 Sp("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 Re(function(){var e=function(t,e,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),Re(function(){null==i&&(i="channelsLast"),oh(i);var o=wm(t,i);if(4!==t.rank)throw new Sp("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new Sp("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return o=ks(o,e,n,"same"===r?"same":"valid","NHWC",a),"channelsFirst"===i&&(o=Yu(o,[0,3,1,2])),o})}(t=ff(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=zh(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=df(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=ym(e,this.kernelSize[0],this.padding,this.strides[0]),a=ym(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=rf(this.depthwiseInitializer),e.depthwiseRegularizer=um(this.depthwiseRegularizer),e.depthwiseConstraint=Jp(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(Nm);Yc.registerClass(Dm);var Om=function(t){function e(e){var n=t.call(this,e)||this;if(n.rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,null!=n.seed)throw new Ip("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return vp(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 Re(function(){n.invokeCallHook(t,e);var r=ff(t);if(null!=n.noiseShape&&!Q.arraysEqual(r.shape,n.noiseShape))throw new Ip("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=e.training&&e.training,a=n.getNoiseShape(r);return Mh(function(){return Fh(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}(Sf);Yc.registerClass(Om);var _m=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,jp(n.units,"units"),n.activation=im(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=af(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=af(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Qp(e.kernelConstraint),n.biasConstraint=Qp(e.biasConstraint),n.kernelRegularizer=cm(e.kernelRegularizer),n.biasRegularizer=cm(e.biasRegularizer),n.activityRegularizer=cm(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return vp(e,t),e.prototype.build=function(t){var e,n=(t=df(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=df(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return Re(function(){n.invokeCallHook(t,e);var r,i=ff(t),a=function(t){return"relu"===t?"relu":"linear"===t?"linear":null}(n.activation.getClassName());return null!=a?r=Rh(i,n.kernel.read(),a,n.bias?n.bias.read():null):(r=Rh(i,n.kernel.read()),null!=n.bias&&(r=zh(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),biasInitializer:rf(this.biasInitializer),kernelRegularizer:um(this.kernelRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),biasConstraint:Jp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(Sf);Yc.registerClass(_m);var zm=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return vp(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=df(t)).slice(1);e<n.length;e++)if(null==n[e])throw new Sp('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],gh(t,1)]},e.prototype.call=function(t,e){var n=this;return Re(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new Sp("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],gh(t.shape,1)];return t.reshape(e)}(ff(t))})},e.className="Flatten",e}(Sf);Yc.registerClass(zm);var Fm=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=im(e.activation),n}return vp(e,t),e.prototype.call=function(t,e){var n=this;return Re(function(){n.invokeCallHook(t,e);var r=ff(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:nm(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(Sf);Yc.registerClass(Fm);var Mm=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return vp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return Re(function(){return function(t,e){return Re(function(){if(2!==t.shape.length)throw new Sp("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return Ah(Nh(t,1),[1,e,1])})}(t=ff(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}(Sf);Yc.registerClass(Mm);var Lm=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 vp(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 Sp("Can only specifiy one unknown dimension.");a=o}else i*=s}var u=gh(t);if(null!==a){if(0===i||u%i!=0)throw new Sp(n);r[a]=u/i}else if(u!==i)throw new Sp(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 Re(function(){n.invokeCallHook(t,e);var r=ff(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}(Sf);Yc.registerClass(Lm);var Bm=function(t){function e(e){var n=t.call(this,e)||this;if(null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+e.dims+" instead.");var r=wh(1,e.dims.length+1);if(!Q.arraysEqual(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new wf({ndim:n.dims.length+1})],n}return vp(e,t),e.prototype.computeOutputShape=function(t){var e=(t=df(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return Yu(ff(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}(Sf);Yc.registerClass(Bm);var Pm=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 vp(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=ff(t);return Ys(gu(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return Re(function(){n.invokeCallHook(t,e);var r=ff(t),i=Ys(gu(r,n.maskValue),-1,!0);return r.mul(i.asType(r.dtype))})},e.className="Masking",e}(Sf);Yc.registerClass(Pm);var Vm=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(Op(e.inputLength))}return n.inputDim=e.inputDim,jp(n.inputDim,"inputDim"),n.outputDim=e.outputDim,jp(n.outputDim,"outputDim"),n.embeddingsInitializer=af(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=cm(e.embeddingsRegularizer),n.activityRegularizer=cm(e.activityRegularizer),n.embeddingsConstraint=Qp(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return vp(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 Re(function(){return n.maskZero?(t=ff(t),gu(t,mn(t))):null})},e.prototype.computeOutputShape=function(t){if(t=df(t),null==this.inputLength)return t.concat([this.outputDim]);var e=Op(this.inputLength);if(e.length!==t.length-1)throw new Sp('"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 Sp('"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 Re(function(){n.invokeCallHook(t,e);var r=ff(t);return"int32"!==r.dtype&&(r=xh(r,"int32")),Dh(n.embeddings.read(),r.as1D()).reshape(df(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:rf(this.embeddingsInitializer),embeddingsRegularizer:um(this.embeddingsRegularizer),activityRegularizer:um(this.activityRegularizer),embeddingsConstraint:Jp(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(Sf);Yc.registerClass(Vm);var Wm=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return vp(e,t),e.prototype.mergeFunction=function(t){throw new Ip},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 Sp("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=[df(t)]),(t=t).length<2)throw new Sp("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=Pp(e)).length>1)throw new Sp("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===Pp(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return Re(function(){if(t=t,n.reshapeRequired){var e=[],r=t.map(function(t){return t.rank});if(-1===r.indexOf(null)){for(var i=bh(r),a=0,o=t;a<o.length;a++){for(var s=(h=o[a]).rank,u=0;u<i-s;++u)h=Nh(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,c=0,p=t;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var f=h.shape,d=f[0],m=f.slice(1).concat([d]),g=h.reshape([d].concat(gh(f.slice(1))));g=(g=Yu(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var v=wh(1,s).concat([0]);e.push(Yu(h,v)),l=!0}else e.push(h)}var y=n.mergeFunction(e),b=y.rank;if(l)if(null==b){var w=y.shape;m=[d=w[w.length-1]].concat(w.slice(0,w.length-1)),y=Yu(y.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(v=[b-1].concat(wh(0,b-1)),y=Yu(y,v));return y}return n.mergeFunction(t)})},e.prototype.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var i=[],a=0,o=t;a<o.length;a++)null!=(r=o[a])&&null!==r[0]&&i.push(r[0]);return 1===(i=Pp(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return Re(function(){if(null==e)return null;if(!Array.isArray(e))throw new Sp("`mask` should be an Array");if(!Array.isArray(t))throw new Sp("`inputs` should be an Array");if(e.length!==t.length)throw new Sp("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:Vn(t,0)}))[0],r=1;r<e.length-1;++r)n=Pu(n,e[r]);return n})},e}(Sf),Um=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.mergeFunction=function(t){return Re(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=yu(e,t[n]);return e})},e.className="Add",e}(Wm);Yc.registerClass(Um);var jm=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.mergeFunction=function(t){return Re(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Du(e,t[n]);return e})},e.className="Multiply",e}(Wm);Yc.registerClass(jm);var qm=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.mergeFunction=function(t){return Re(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=yu(e,t[n]);return Du(1/t.length,e)})},e.className="Average",e}(Wm);Yc.registerClass(qm);var Gm=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.mergeFunction=function(t){return Re(function(){for(var e=t[0],n=1;n<t.length;++n)e=Su(e,t[n]);return e})},e.className="Maximum",e}(Wm);Yc.registerClass(Gm);var Hm=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.mergeFunction=function(t){return Re(function(){for(var e=t[0],n=1;n<t.length;++n)e=ku(e,t[n]);return e})},e.className="Minimum",e}(Wm);Yc.registerClass(Hm);var Km=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 vp(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new Sp("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,r=t=t;n<r.length;n++)if(null!=(c=r[n])){e=!1;break}if(!e){for(var i=[],a=0;a<t.length;++a){var o=t[a].slice();o.splice(this.axis,1);for(var s=!1,u=0,l=i;u<l.length;u++){var c=l[u];if(Q.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new Sp("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 Re(function(){return Ih(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new Sp("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 Sp("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new Sp("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new Sp("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return Re(function(){var r=!0;if(e.forEach(function(t){null==t||(r=!1)}),r)return null;for(var i=[],a=0;a<t.length;++a)null==e[a]?i.push(dn(t[a]).asType("bool")):e[a].rank<t[a].rank?i.push(Vn(e[a],-1)):i.push(e[a]);var o=gn(i,n.axis);return Xs(o,-1,!1)})},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Concatenate",e}(Wm);function $m(t,e){for(;t<0;)t+=e;return t}Yc.registerClass(Km);var Xm=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 vp(e,t),e.prototype.build=function(t){Q.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 Ip("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new Sp("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new Sp("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return $m(e,t[n].shape.length)}):[$m(this.axes,n.shape.length),$m(this.axes,r.shape.length)],this.normalize&&(n=Wf(n,e[0]),r=Wf(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new Ip("batchDot is not implemented for tensors of 4D or higher rank yet");if(Q.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),Q.assert(t.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length}),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new Ip("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,i=e.shape.length;null==n&&(n=[r-1,i-2]);var a=n;return Re(function(){var n,o;if(r>i){n=r-i;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(i>r){for(n=i-r,s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else n=0;if(2===t.shape.length&&2===e.shape.length)o=a[0]===a[1]?t.mulStrict(e).sum(a[0]):t.transpose([1,0]).mulStrict(e).sum(a[1]);else{var l=a[0]!==t.shape.length-1,c=a[1]===e.shape.length-1;o=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>i?r+i-3:r-1;u<p+n;++u)h.push(u);o=o.squeeze(h)}return 1===o.shape.length&&(o=o.expandDims(1)),o})}(n,r,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[$m(this.axes,t.length),$m(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){Q.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 Ip("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var i=e.concat(n);return 1===i.length&&i.push(1),i},e.prototype.computeMask=function(t,e){return null},e.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dot",e}(Wm);Yc.registerClass(Xm);var Ym=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return vp(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 Re(function(){n.invokeCallHook(t,e);var r=ff(t);return Mh(function(){return Th(r.shape,0,n.stddev).add(r)},function(){return r},e.training||!1)})},e.className="GaussianNoise",e}(Sf);Yc.registerClass(Ym);var Jm=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return vp(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 Re(function(){n.invokeCallHook(t,e);var r=ff(t);return n.rate>0&&n.rate<1?Mh(function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(Th(r.shape,1,t))},function(){return r},e.training||!1):r})},e.className="GaussianDropout",e}(Sf);Yc.registerClass(Jm);var Zm=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 vp(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||ff(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 Re(function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(t);return Mh(function(){var e=ff(t),i=-1.7580993408473766,a=lu(Jn(r),n.rate);a=xh(a,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(i,2)),-.5),s=-o*i*n.rate;return e.mul(a).add(a.add(-1).mul(i)).mul(o).add(s)},function(){return ff(t)},e.training||!1)}return t})},e.className="AlphaDropout",e}(Sf);function Qm(t,e,n,r,i,a){var o;if(void 0===a&&(a=.001),2===t.rank)o=vs(t,e,n,r,i,a);else if(3===t.rank)o=ys(t,e,n,r,i,a);else{if(4!==t.rank)throw new Ip("batchNormalization is not implemented for array of rank "+t.rank+" yet");o=bs(t,e,n,r,i,a)}return o}function tg(t,e,n,r,i){return void 0===i&&(i=.001),Q.arraysEqual(r.slice().sort(),wh(0,t.rank-1))?function(t,e,n,r,i){return void 0===i&&(i=.001),Re(function(){var a=ru(t,r),o=a.mean,s=a.variance;return[Qm(t,o,s,n,e,i),o,s]})}(t,e,n,r,i):function(t,e,n,r,i){return void 0===i&&(i=.001),Re(function(){for(var a=ru(t,r),o=a.mean,s=a.variance,u=[],l=0,c=wh(0,t.rank);l<c.length;l++){var p=c[l];-1!==r.indexOf(p)?u.push(1):u.push(t.shape[p])}var h=o.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[Qm(t,h,f,m,d,i),o,s]})}(t,e,n,r,i)}Yc.registerClass(Zm);var eg=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=af(e.betaInitializer||"zeros"),n.gammaInitializer=af(e.gammaInitializer||"ones"),n.movingMeanInitializer=af(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=af(e.movingVarianceInitializer||"ones"),n.betaConstraint=Qp(e.betaConstraint),n.gammaConstraint=Qp(e.gammaConstraint),n.betaRegularizer=cm(e.betaRegularizer),n.gammaRegularizer=cm(e.gammaRegularizer),n}return vp(e,t),e.prototype.build=function(t){var e;t=df(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new Sp("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new wf({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 Re(function(){var r=null!=e.training&&e.training,i=ff(t),a=i.shape,o=a.length,s=wh(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=Ap(1,o);l[u]=a[u];var c=s.slice();c.sort();var p=!Q.arraysEqual(c,wh(0,o).slice(0,o-1));if(!r)return function(){if(p){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,a=n.scale?n.gamma.read().reshape(l):null;return Qm(i,t,e,r,a,n.epsilon)}return Qm(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=tg(i,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){Re(function(){var r=1-n,i=t.read(),a=i.sub(e).mul(r);t.write(i.sub(a))})};return g(n.movingMean,d,n.momentum),g(n.movingVariance,m,n.momentum),f})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:rf(this.betaInitializer),gammaInitializer:rf(this.gammaInitializer),movingMeanInitializer:rf(this.movingMeanInitializer),movingVarianceInitializer:rf(this.movingVarianceInitializer),betaRegularizer:um(this.betaRegularizer),gammaRegularizer:um(this.gammaRegularizer),betaConstraint:Jp(this.betaConstraint),gammaConstraint:Jp(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(Sf);Yc.registerClass(eg);var ng=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 Sp("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 Sp("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 Sp("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 wf({ndim:4})],n}return vp(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=df(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 Re(function(){return function(t,e,n){return Re(function(){if(4!==t.rank)throw new Sp("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 Sp("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 Sp("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],qn(t,r)})}(ff(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}(Sf);function rg(t,e,n,r,i,a){return Re(function(){var o;oh(i),function(t){Wp(rh,"PoolMode",t)}(a),sh(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==a&&(a="max"),t=wm(t,i);var s="same"===r?"same":"valid";return o="max"===a?Vs(t,e,n,s):Ws(t,e,n,s),"channelsFirst"===i&&(o=Yu(o,[0,3,1,2])),o})}Yc.registerClass(ng);var ig=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 Sp("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(jp(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 Sp("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 jp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,sh(n.padding),n.inputSpec=[new wf({ndim:3})],n}return vp(e,t),e.prototype.computeOutputShape=function(t){var e=ym((t=df(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 Re(function(){n.invokeCallHook(t,e),t=Nh(ff(t),2);var r=n.poolingFunction(ff(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return tr(r,[2])})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Sf),ag=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return oh(i),sh(r),rg(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(ig);Yc.registerClass(ag);var og=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return oh(i),sh(r),rg(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(ig);Yc.registerClass(og);var sg=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 Sp("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 jp(n.poolSize,"poolSize"),jp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,oh(n.dataFormat),sh(n.padding),n.inputSpec=[new wf({ndim:4})],n}return vp(e,t),e.prototype.computeOutputShape=function(t){t=df(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=ym(e,this.poolSize[0],this.padding,this.strides[0]),n=ym(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 Re(function(){return n.invokeCallHook(t,e),n.poolingFunction(ff(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}(Sf),ug=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return oh(i),sh(r),rg(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(sg);Yc.registerClass(ug);var lg=function(t){function e(e){return t.call(this,e)||this}return vp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return oh(i),sh(r),rg(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(sg);Yc.registerClass(lg);var cg=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new wf({ndim:3})],n}return vp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new Ip},e}(Sf),pg=function(t){function e(e){return t.call(this,e||{})||this}return vp(e,t),e.prototype.call=function(t,e){return Re(function(){var e=ff(t);return eu(e,1)})},e.className="GlobalAveragePooling1D",e}(cg);Yc.registerClass(pg);var hg=function(t){function e(e){return t.call(this,e||{})||this}return vp(e,t),e.prototype.call=function(t,e){return Re(function(){var e=ff(t);return tu(e,1)})},e.className="GlobalMaxPooling1D",e}(cg);Yc.registerClass(hg);var fg=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,oh(n.dataFormat),n.inputSpec=[new wf({ndim:4})],n}return vp(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 Ip},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Sf),dg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.call=function(t,e){var n=this;return Re(function(){var e=ff(t);return"channelsLast"===n.dataFormat?eu(e,[1,2]):eu(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(fg);Yc.registerClass(dg);var mg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.call=function(t,e){var n=this;return Re(function(){var e=ff(t);return"channelsLast"===n.dataFormat?tu(e,[1,2]):tu(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(fg);function gg(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new Sp("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 vg(t,e,n,r,i,a,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),Re(function(){var u=e.shape.length;if(u<3)throw new Sp("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(wh(2,u));if(e=Yu(e,l),null!=a)throw new Ip("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=i&&((i=i.asType("bool").asType("float32")).rank===u-1&&(i=Vn(i,-1)),i=Yu(i,l)),r&&(e=_s(e,0),null!=i&&(i=_s(i,0)));var c,p,h=[],f=n,d=e.shape[0],m=ir(e);null!=i&&(p=ir(i));for(var g,v=function(e){var n=m[e],r=Re(function(){return t(n,f)});if(null==i)c=r[0],f=r[1];else{var a=Re(function(){var t=p[e],n=dn(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map(function(e,i){return r[1][i].mul(t).addStrict(e.mul(n))})}});c=a.output,f=a.newStates}s&&h.push(c)},y=0;y<d;++y)v(y);return s&&(g=er(h,1)),[c,g,f]})}Yc.registerClass(mg);var yg=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new Sp("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new Ig({cells:e.cell}):e.cell).stateSize)throw new Sp("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 wf({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return vp(e,t),e.prototype.getStates=function(){return null==this.states_?wh(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){pf(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 Re(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 Ip("Constants support is not implemented in RNN yet.");pf(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new wf({shape:[e,null,n]});var r,i=[t[0]].concat(t.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!Q.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),r))throw new Sp("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map(function(t){return new wf({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),Re(function(){if(!n.stateful)throw new Cp("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new Sp("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 cn([r,t])}):n.states_=[cn([r,n.cell.stateSize])];else if(null==t)De(n.states_),null!=n.keptStates&&(De(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return cn([r,t])}):n.states_[0]=cn([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new Sp("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()):De(n.states_);for(var i=0;i<n.states_.length;++i){var a=t[i],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,o];if(!Q.arraysEqual(a.shape,s))throw new Sp("State "+i+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+a.shape);n.states_[i]=a}}n.states_=n.states_.map(function(t){return Oe(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=gg(e,r,i,this.numConstants);e=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new wf({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof xf){var p=[e].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=t.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Re(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,a=null==e?null:e.initialState;t=ff(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 Sp("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=vg(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,a,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h})},e.prototype.getInitialState=function(t){var e=this;return Re(function(){var n=cn(t.shape);return n=Nh(n=iu(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?Ah(n,[1,t]):n}):e.cell.stateSize>1?[Ah(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=Vf(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(Sf);Yc.registerClass(yg);var bg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e}(Sf),wg=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,jp(n.units,"units"),n.activation=im(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=af(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=af(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=af(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=cm(e.kernelRegularizer),n.recurrentRegularizer=cm(e.recurrentRegularizer),n.biasRegularizer=cm(e.biasRegularizer),n.kernelConstraint=Qp(e.kernelConstraint),n.recurrentConstraint=Qp(e.recurrentConstraint),n.biasConstraint=Qp(e.biasConstraint),n.dropout=yh([1,bh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=yh([1,bh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return vp(e,t),e.prototype.build=function(t){t=df(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 Re(function(){if(2!==(t=t).length)throw new Sp("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var i,a=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=kg(function(){return dn(t)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=kg(function(){return dn(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=Rh(null!=o?Du(t,o):t,n.kernel.read()),null!=n.bias&&(i=zh(i,n.bias.read())),null!=s&&(r=Du(r,s));var u=yu(i,Rh(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(bg);Yc.registerClass(wg);var xg=function(t){function e(e){return e.cell=new wg(e),t.call(this,e)||this}return vp(e,t),e.prototype.call=function(e,n){var r=this;return Re(function(){null!=r.cell.dropoutMask&&(De(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(De(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(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}(yg);Yc.registerClass(xg);var Ng=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,jp(n.units,"units"),n.activation=im(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=im(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=af(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=af(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=af(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=cm(e.kernelRegularizer),n.recurrentRegularizer=cm(e.recurrentRegularizer),n.biasRegularizer=cm(e.biasRegularizer),n.kernelConstraint=Qp(e.kernelConstraint),n.recurrentConstraint=Qp(e.recurrentConstraint),n.biasConstraint=Qp(e.biasConstraint),n.dropout=yh([1,bh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=yh([1,bh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return vp(e,t),e.prototype.build=function(t){var e=(t=df(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 Re(function(){if(2!==(t=t).length)throw new Sp("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,i=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=kg(function(){return dn(t)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=kg(function(){return dn(i)},n.recurrentDropout,r,3));var a,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Du(t,u[0]));var c=Rh(t,n.kernel.read());n.useBias&&(c=zh(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Du(i,l[0]));var p=n.recurrentKernel.read(),h=xn(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=Rh(i,f),g=xn(c,3,c.rank-1),v=g[0],y=g[1],b=g[2],w=xn(m,2,m.rank-1),x=w[0],N=w[1];a=n.recurrentActivation.apply(yu(v,x)),o=n.recurrentActivation.apply(yu(y,N));var C=Rh(Du(o,i),d);s=n.activation.apply(yu(b,C));var E=yu(Du(a,i),Du(yu(1,jo(a)),s));return[E,E]})},e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),recurrentActivation:nm(this.recurrentActivation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(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}(bg);Yc.registerClass(Ng);var Cg=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 Ng(e),t.call(this,e)||this}return vp(e,t),e.prototype.call=function(e,n){var r=this;return Re(function(){null!=r.cell.dropoutMask&&(De(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(De(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),recurrentActivation:nm(this.recurrentActivation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(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}(yg);Yc.registerClass(Cg);var Eg=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,jp(n.units,"units"),n.activation=im(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=im(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=af(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=af(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=af(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=cm(e.kernelRegularizer),n.recurrentRegularizer=cm(e.recurrentRegularizer),n.biasRegularizer=cm(e.biasRegularizer),n.kernelConstraint=Qp(e.kernelConstraint),n.recurrentConstraint=Qp(e.recurrentConstraint),n.biasConstraint=Qp(e.biasConstraint),n.dropout=yh([1,bh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=yh([1,bh([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 vp(e,t),e.prototype.build=function(t){var e,n,r=(t=df(t))[t.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return vp(e,t),e.prototype.apply=function(t,e){var n=i.apply([a]),r=(new Wh).apply([a]),o=i.apply([2*a]);return kh(kh(n,r),o)},e}(Ph)).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 Re(function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new Sp("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var i=t[1],a=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=kg(function(){return dn(t)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=kg(function(){return dn(i)},n.recurrentDropout,r,4));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Du(t,c[0]));var h=Rh(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Du(i,p[0])),h=yu(h,Rh(i,n.recurrentKernel.read())),n.useBias&&(h=zh(h,n.bias.read()));var f=xn(h,4,h.rank-1),d=f[0],m=f[1],g=f[2],v=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=yu(Du(s,a),Du(o,n.activation.apply(g))),l=n.recurrentActivation.apply(v);var y=Du(l,n.activation.apply(u));return[y,y,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),recurrentActivation:nm(this.recurrentActivation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(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}(bg);Yc.registerClass(Eg);var Sg=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 Eg(e),t.call(this,e)||this}return vp(e,t),e.prototype.call=function(e,n){var r=this;return Re(function(){null!=r.cell.dropoutMask&&(De(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(De(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:a,initialState:o})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:nm(this.activation),recurrentActivation:nm(this.recurrentActivation),useBias:this.useBias,kernelInitializer:rf(this.kernelInitializer),recurrentInitializer:rf(this.recurrentInitializer),biasInitializer:rf(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:um(this.kernelRegularizer),recurrentRegularizer:um(this.recurrentRegularizer),biasRegularizer:um(this.biasRegularizer),activityRegularizer:um(this.activityRegularizer),kernelConstraint:Jp(this.kernelConstraint),recurrentConstraint:Jp(this.recurrentConstraint),biasConstraint:Jp(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}(yg);Yc.registerClass(Sg);var Ig=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return vp(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 Re(function(){for(var r=(t=t).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=i[c],u=0===c?[t[0]].concat(r):[u[0]].concat(r),u=s.call(u,e),l.push(u.slice(1));r=[];for(var p=0,h=l.slice().reverse();p<h.length;p++){var f=h[p];r.push.apply(r,f)}return[u[0]].concat(r)})},e.prototype.build=function(t){var e;pf(t)&&(t=t[0]),t=t;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(t),e=Array.isArray(i.stateSize)?i.stateSize[0]:i.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(Vf(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 yf(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]]);bf(e)},e.className="StackedRNNCells",e}(bg);function kg(t,e,n,r){function i(){return Fh(t(),e)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(Mh(i,t,n));return a.map(function(t){return Oe(t.clone())})}return Oe(Mh(i,t,n).clone())}Yc.registerClass(Ig);var Ag=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return vp(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=Vf(e.layer,n);delete e.layer;var i={layer:r};return Object.assign(i,e),new t(i)},e}(Sf),Tg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return vp(e,t),e.prototype.build=function(e){if((e=df(e)).length<3)throw new Sp("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=df(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 Re(function(){return vg(function(t,r){return[ff(n.layer.call(t,e)),[]]},t=ff(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(Ag);Yc.registerClass(Tg);var Rg="concat",Dg=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=Vf(i),r.goBackwards=!0!==r.goBackwards;var a={};if(a.className=e.layer.getClassName(),a.config=r,n.backwardLayer=Vf(a),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?Rg:e.mergeMode,function(t){Wp(ih,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new Ip("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 vp(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()):Dp(n)},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=gg(e,r,i,this.numConstants);if(e=a.inputs,r=a.initialState,i=a.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==i)return t.prototype.apply.call(this,e,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new Sp("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map(function(t){return new wf({shape:t.shape})});this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=i)throw new Ip("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof xf,p=0,h=o;p<h.length;p++)if(h[p]instanceof xf!==c)throw new Sp("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(c){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=t.prototype.apply.call(this,f,n);return this.inputSpec=m,g}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Re(function(){if(null!=e.mask)throw new Ip("The support for masking is not implemented for Bidirectional layers yet.");var r,i,a,o,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),i=n.backwardLayer.call(t,e);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(t,Object.assign(e,{initialState:u})),i=n.backwardLayer.call(t,Object.assign(e,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(a=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=_s(i,1)),"concat"===n.mergeMode?o=Ih([r,i]):"sum"===n.mergeMode?o=yu(r,i):"ave"===n.mergeMode?o=Du(.5,yu(r,i)):"mul"===n.mergeMode?o=Du(r,i):null==n.mergeMode&&(o=[r,i]),n.returnState?null==n.mergeMode?o.concat(a):[o].concat(a):o})},e.prototype.resetStates=function(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},e.prototype.build=function(t){var e=this;ch(this.forwardLayer.name,function(){e.forwardLayer.build(t)}),ch(this.backwardLayer.name,function(){e.backwardLayer.build(t)}),this.built=!0},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)},e.prototype.getConfig=function(){var e={mergeMode:this.mergeMode},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.fromConfig=function(t,e){var n=Vf(e.layer);if(delete e.layer,null!=e.numConstants)throw new Ip("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=e;return r.layer=n,new t(r)},e.className="Bidirectional",e}(Ag);function Og(t){return new og(t)}function _g(t){return new lg(t)}function zg(t){return new hg(t)}function Fg(t){return new mg(t)}function Mg(t){return new ag(t)}function Lg(t){return new ug(t)}Yc.registerClass(Dg);var 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new Ig(t)},bidirectional:function(t){return new Dg(t)},timeDistributed:function(t){return new Tg(t)},globalMaxPool1d:Bg,globalMaxPool2d:Pg,maxPool1d:Vg,maxPool2d:Wg,Layer:Sf,RNN:yg,RNNCell:bg,input:Ud,gaussianNoise:function(t){return new Ym(t)},gaussianDropout:function(t){return new Jm(t)},alphaDropout:function(t){return new Zm(t)},masking:function(t){return new Pm(t)}});var jg=Object.freeze({binaryAccuracy:function(t,e){return Jf(t,e)},binaryCrossentropy:function(t,e){return nd(t,e)},sparseCategoricalAccuracy:function(t,e){return rd(t,e)},categoricalAccuracy:function(t,e){return Zf(t,e)},categoricalCrossentropy:function(t,e){return id(t,e)},precision:function(t,e){return td(t,e)},recall:function(t,e){return ed(t,e)},cosineProximity:function(t,e){return $f(t,e)},meanAbsoluteError:function(t,e){return jf(t,e)},meanAbsolutePercentageError:function(t,e){return qf(t,e)},MAPE:function(t,e){return qf(t,e)},mape:function(t,e){return qf(t,e)},meanSquaredError:function(t,e){return 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vp(e,t),e.prototype.setModel=function(t){if(!(t instanceof Pd))throw new Error("model must be a LayersModel, not some other Container");this.model=t},e}(Of);function Kg(t,e){return t<e}function $g(t,e){return t>e}var Xg=function(t){function e(e){var n=t.call(this)||this;if(null==e&&(e={}),e.restoreBestWeights)throw new Ip("restoreBestWeights = True is not implemented in EarlyStopping yet.");return n.monitor=e.monitor||"val_loss",n.minDelta=Math.abs(e.minDelta||0),n.patience=e.patience||0,n.verbose=e.verbose||0,n.mode=e.mode||"auto",n.baseline=e.baseline,-1===["auto","min","max"].indexOf(n.mode)&&(console.warn("EarlyStopping mode '"+n.mode+"' is invalid. 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r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(t){return"number"==typeof t?t:parseInt(t,10)}):n}function Bv(t,e,n,r){void 0===r&&(r=!1);var i=t[e];return i&&i.list&&i.list.s?i.list.s.map(function(t){return Av(t,r)}):n}function Pv(t,e,n){var r=t[e];return r&&r.list&&r.list.shape?r.list.shape.map(function(t){return Fv(t)}):n}function Vv(t,e,n){var r=t[e];return r&&r.list&&r.list.b?r.list.b:n}var Wv=function(){function t(t,e,n){var r=this;this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(t){return r.getInput(t)}),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(t,e){return t[e]=r.getAttr(e),t},{}))}return t.prototype.getInput=function(t){return ov(t,this.tensorMap,this.context)},t.prototype.getAttr=function(t,e){var n=this.node.rawAttrs[t];if(null!=n.tensor)return ov(t,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Dv(this.node.rawAttrs,t,e);if(null!=n.s)return Tv(this.node.rawAttrs,t,e);if(null!=n.b)return Rv(this.node.rawAttrs,t,e);if(null!=n.shape)return Mv(this.node.rawAttrs,t,e);if(null!=n.type)return _v(this.node.rawAttrs,t,e);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return Lv(this.node.rawAttrs,t,e);if(null!=n.list.s)return Bv(this.node.rawAttrs,t,e);if(null!=n.list.shape)return Pv(this.node.rawAttrs,t,e);if(null!=n.list.b)return Vv(this.node.rawAttrs,t,e);if(null!=n.list.type)return zv(this.node.rawAttrs,t,e)}return e},t}(),Uv=function(t,e,n){switch(t.op){case"BiasAdd":case"AddV2":case"Add":return[yu(av("a",t,e,n),av("b",t,e,n))];case"AddN":return[bu(av("tensors",t,e,n))];case"FloorMod":case"Mod":return[Tu(av("a",t,e,n),av("b",t,e,n))];case"Mul":return[Du(av("a",t,e,n),av("b",t,e,n))];case"RealDiv":case"Div":return[Nu(av("a",t,e,n),av("b",t,e,n))];case"FloorDiv":return[Eu(av("a",t,e,n),av("b",t,e,n))];case"Sub":return[Lu(av("a",t,e,n),av("b",t,e,n))];case"Minimum":return[ku(av("a",t,e,n),av("b",t,e,n))];case"Maximum":return[Su(av("a",t,e,n),av("b",t,e,n))];case"Pow":return[_u(av("a",t,e,n),av("b",t,e,n))];case"SquaredDifference":return[Fu(av("a",t,e,n),av("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},jv=function(t,e,n){switch(t.op){case"Abs":case"ComplexAbs":return[So(av("x",t,e,n))];case"Acos":return[Io(av("x",t,e,n))];case"Acosh":return[ko(av("x",t,e,n))];case"Asin":return[Ao(av("x",t,e,n))];case"Asinh":return[To(av("x",t,e,n))];case"Atan":return[Ro(av("x",t,e,n))];case"Atan2":return[xu(av("x",t,e,n),av("y",t,e,n))];case"Atanh":return[Do(av("x",t,e,n))];case"Ceil":return[Oo(av("x",t,e,n))];case"Complex":return[Ye(av("real",t,e,n),av("imag",t,e,n))];case"Cos":return[zo(av("x",t,e,n))];case"Cosh":return[Fo(av("x",t,e,n))];case"Elu":return[Gu(av("x",t,e,n))];case"Erf":return[Mo(av("x",t,e,n))];case"Exp":return[Lo(av("x",t,e,n))];case"Expm1":return[Bo(av("x",t,e,n))];case"Floor":return[Po(av("x",t,e,n))];case"Log":return[Vo(av("x",t,e,n))];case"Log1p":return[Wo(av("x",t,e,n))];case"Neg":return[jo(av("x",t,e,n))];case"Reciprocal":return[qo(av("x",t,e,n))];case"Relu":return[$u(av("x",t,e,n))];case"Round":return[Go(av("x",t,e,n))];case"Selu":return[Xu(av("x",t,e,n))];case"Sigmoid":return[Ko(av("x",t,e,n))];case"Sin":return[Zo(av("x",t,e,n))];case"Sign":return[$o(av("x",t,e,n))];case"Sinh":return[Qo(av("x",t,e,n))];case"Softplus":return[ts(av("x",t,e,n))];case"Sqrt":return[es(av("x",t,e,n))];case"Square":return[ns(av("x",t,e,n))];case"Tanh":return[as(av("x",t,e,n))];case"Tan":return[is(av("x",t,e,n))];case"Relu6":case"ClipByValue":return[_o(av("x",t,e,n),av("clipValueMin",t,e,n),av("clipValueMax",t,e,n))];case"Rsqrt":return[Ho(ov(t.inputNames[0],e,n))];case"Prod":return[au(av("x",t,e,n),av("axes",t,e,n))];case"LeakyRelu":return[Hu(av("x",t,e,n),av("alpha",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},qv=function(){function t(e,n,r,i,a,o,s){this.name=e,this.dtype=n,this.maxSize=r,this.elementShape=i,this.identicalElementShapes=a,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.id=t.nextId++}return Object.defineProperty(t.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),t.prototype.clearAndClose=function(){this.tensors.forEach(function(t){return t.tensor.dispose()}),this.tensors=[],this.closed_=!0},t.prototype.size=function(){return this.tensors.length},t.prototype.read=function(t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||t>=this.tensors.length)throw new Error("Tried to read from index "+t+", but array size is: "+this.tensors.length);var e=this.tensors[t];if(e.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+t+" twice because it was cleared after a previous read (perhaps try setting 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 Qe([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),er(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 Qe([],[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+")"),gn(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,ir(e,0))},t.prototype.split=function(t,e){var n=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,i=t.map(function(t){return r+=t});if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var a=0===r?0:e.size/r,o=[];Re(function(){e=e.reshape([1,r,a]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:i[s-1],0],l=[1,t[s],a];o[s]=js(e,u,l).reshape(n.elementShape)}return o});for(var s=[],u=0;u<t.length;u++)s[u]=u;this.writeMany(s,o)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),Q.assert(this.shapesEqualAllowUndefinedSize(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})},t.prototype.shapesEqualAllowUndefinedSize=function(t,e){if(t.length!==e.length)return!1;for(var n=0;n<t.length;n++)if(-1!==t[n]&&-1!==e[n]&&t[n]!==e[n])return!1;return!0},t.nextId=0,t}();var Gv=function(t,e,n){switch(t.op){case"Conv1D":var r=av("stride",t,e,n),i=av("pad",t,e,n),a=av("dataFormat",t,e,n).toUpperCase(),o=av("dilation",t,e,n);return[Cs(av("x",t,e,n),av("filter",t,e,n),r,i,a,o)];case"Conv2D":r=av("strides",t,e,n),i=av("pad",t,e,n),a=av("dataFormat",t,e,n).toUpperCase();var s=av("dilations",t,e,n);return[Es(av("x",t,e,n),av("filter",t,e,n),[r[1],r[2]],i,a,[s[1],s[2]])];case"Conv2DBackpropInput":case"Conv2dTranspose":var u=av("outputShape",t,e,n);return r=av("strides",t,e,n),i=av("pad",t,e,n),[Ts(av("x",t,e,n),av("filter",t,e,n),u,[r[1],r[2]],i)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=av("strides",t,e,n),i=av("pad",t,e,n),s=av("dilations",t,e,n),a=av("dataFormat",t,e,n).toUpperCase(),[ks(av("input",t,e,n),av("filter",t,e,n),[r[1],r[2]],i,a,[s[1],s[2]])];case"AvgPool":r=av("strides",t,e,n),i=av("pad",t,e,n);var l=av("kernelSize",t,e,n);return[Ws(av("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];case"MaxPool":return r=av("strides",t,e,n),i=av("pad",t,e,n),l=av("kernelSize",t,e,n),[Vs(av("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Hv=function(t,e,n){switch(t.op){case"Fill":var r=av("shape",t,e,n),i=av("dtype",t,e,n);return[pn(r,av("value",t,e,n),i)];case"LinSpace":var a=av("start",t,e,n);return[hn(a,av("stop",t,e,n),av("num",t,e,n))];case"OneHot":var o=av("indices",t,e,n),s=av("depth",t,e,n),u=av("onValue",t,e,n),l=av("offValue",t,e,n);return[jn(o,s,u,l)];case"Ones":return[ln(av("shape",t,e,n),av("dtype",t,e,n))];case"OnesLike":return[dn(av("x",t,e,n))];case"RandomUniform":return[Jn(av("shape",t,e,n),av("minval",t,e,n),av("maxval",t,e,n),av("dtype",t,e,n))];case"Range":return[fn(a=av("start",t,e,n),av("stop",t,e,n),av("step",t,e,n),av("dtype",t,e,n))];case"TruncatedNormal":r=av("shape",t,e,n);var c=av("mean",t,e,n),p=av("stdDev",t,e,n),h=av("seed",t,e,n);return[rr(r,c,p,av("dtype",t,e,n),h)];case"Zeros":return[cn(av("shape",t,e,n),av("dtype",t,e,n))];case"ZerosLike":return[mn(av("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}};var Kv=function(t,e,n){switch(t.op){case"TopKV2":var r=av("x",t,e,n),i=av("k",t,e,n),a=av("sorted",t,e,n),o=sl(r,i,a);return[o.values,o.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},$v=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=av("default",t,e,n);return[ov(t.name,e,n)||r];case"Placeholder":return[ov(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[av("x",t,e,n).clone()];case"IdentityN":return av("x",t,e,n).map(function(t){return t.clone()});case"Snapshot":return[av("x",t,e,n).clone()];case"Shape":return[nn(av("x",t,e,n).shape,"int32")];case"ShapeN":return av("x",t,e,n).map(function(t){return nn(t.shape)});case"Size":return[en(av("x",t,e,n).size,"int32")];case"Rank":return[en(av("x",t,e,n).rank,"int32")];case"NoOp":return[];case"Print":var i=av("x",t,e,n),a=av("data",t,e,n),o=av("message",t,e,n),s=av("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<a.length;u++)console.log(Array.prototype.slice.call(a[u].dataSync()).slice(0,s));return[i];default:throw TypeError("Node type "+t.op+" is not implemented")}},Xv=function(t,e,n){switch(t.op){case"ResizeBilinear":var r=av("images",t,e,n),i=av("size",t,e,n),a=av("alignCorners",t,e,n);return[Wl.resizeBilinear(r,[i[0],i[1]],a)];case"ResizeNearestNeighbor":return r=av("images",t,e,n),i=av("size",t,e,n),a=av("alignCorners",t,e,n),[Wl.resizeNearestNeighbor(r,[i[0],i[1]],a)];case"CropAndResize":var o=av("image",t,e,n),s=av("boxes",t,e,n),u=av("boxInd",t,e,n),l=av("cropSize",t,e,n),c=av("method",t,e,n),p=av("extrapolationValue",t,e,n);return[Wl.cropAndResize(o,s,u,l,c,p)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Yv=function(t,e,n){switch(t.op){case"Equal":return[ou(av("a",t,e,n),av("b",t,e,n))];case"NotEqual":return[gu(av("a",t,e,n),av("b",t,e,n))];case"Greater":return[uu(av("a",t,e,n),av("b",t,e,n))];case"GreaterEqual":return[lu(av("a",t,e,n),av("b",t,e,n))];case"Less":return[hu(av("a",t,e,n),av("b",t,e,n))];case"LessEqual":return[fu(av("a",t,e,n),av("b",t,e,n))];case"LogicalAnd":return[Pu(av("a",t,e,n),av("b",t,e,n))];case"LogicalNot":return[Vu(av("a",t,e,n))];case"LogicalOr":return[Wu(av("a",t,e,n),av("b",t,e,n))];case"Select":return[ju(av("condition",t,e,n),av("a",t,e,n),av("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Jv=function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Rs(av("a",t,e,n),av("b",t,e,n),av("transposeA",t,e,n),av("transposeB",t,e,n))];case"Transpose":return[Yu(av("x",t,e,n),av("perm",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Zv=function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[gs(av("x",t,e,n),av("mean",t,e,n),av("variance",t,e,n),av("offset",t,e,n),av("scale",t,e,n),av("epsilon",t,e,n))];case"LRN":return[Ju(av("x",t,e,n),av("radius",t,e,n),av("bias",t,e,n),av("alpha",t,e,n),av("beta",t,e,n))];case"Softmax":return[Cr(av("x",t,e,n))];case"LogSoftmax":return[Er(av("x",t,e,n))];case"SparseToDense":return[dl(av("sparseIndices",t,e,n),av("outputShape",t,e,n),av("sparseValues",t,e,n),av("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Qv=function(t,e,n){switch(t.op){case"Max":var r=av("axis",t,e,n),i=av("keepDims",t,e,n);return[tu(av("x",t,e,n),r,i)];case"Mean":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[eu(av("x",t,e,n),r,i)];case"Min":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[nu(av("x",t,e,n),r,i)];case"Sum":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[iu(av("x",t,e,n),r,i)];case"All":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[Xs(av("x",t,e,n),r,i)];case"Any":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[Ys(av("x",t,e,n),r,i)];case"ArgMax":return r=av("axis",t,e,n),[Js(av("x",t,e,n),r)];case"ArgMin":return r=av("axis",t,e,n),[Zs(av("x",t,e,n),r)];case"Prod":return r=av("axis",t,e,n),i=av("keepDims",t,e,n),[au(av("x",t,e,n),r,i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},ty=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=av("axis",t,e,n),i=av("tensors",t,e,n);return[gn(i,r)];case"GatherV2":case"Gather":r=av("axis",t,e,n);var a=av("x",t,e,n),o=av("indices",t,e,n);return[el(a,o.asType("int32"),r)];case"ReverseV2":case"Reverse":return r=av("axis",t,e,n),a=av("x",t,e,n),[_s(a,r)];case"Slice":var s=av("begin",t,e,n),u=av("size",t,e,n);return[js(av("x",t,e,n),s,u)];case"StridedSlice":s=av("begin",t,e,n);var l=av("end",t,e,n),c=av("strides",t,e,n),p=av("beginMask",t,e,n),h=av("endMask",t,e,n),f=av("ellipsisMask",t,e,n),d=av("newAxisMask",t,e,n),m=av("shrinkAxisMask",t,e,n),g=av("x",t,e,n);if(1===s.length&&g.shape.length>1)for(var v=1;v<g.shape.length;v++)s.push(0),l.push(g.shape[v]),c.push(c[0]);return[ol(g,s,l,c,p,h,f,d,m)];case"Pack":return Re(function(){var r=av("axis",t,e,n),i=av("tensors",t,e,n),a=i[0].shape,o=i[0].squeeze().shape,s=i.map(function(t){var e=Q.arraysEqual(t.shape,a);if(!e&&!Q.arraysEqual(t.squeeze().shape,o))throw new Error("the input tensors shape does not match");return e?t:t.reshape(a)});return[er(s,r)]});case"Unpack":return Re(function(){var r=av("axis",t,e,n),i=av("tensor",t,e,n);return ir(i,r)});case"Tile":var y=av("reps",t,e,n);return[nr(av("x",t,e,n),y)];case"Split":case"SplitV":r=av("axis",t,e,n);var b=av("numOrSizeSplits",t,e,n);return xn(av("x",t,e,n),b,r);case"ScatterNd":o=av("indices",t,e,n);var w=av("values",t,e,n),x=av("shape",t,e,n);return[ul(o,w,x)];case"GatherNd":var N=av("x",t,e,n);return o=av("indices",t,e,n),[ml(N,o)];case"SparseToDense":o=av("sparseIndices",t,e,n),x=av("outputShape",t,e,n);var C=av("sparseValues",t,e,n),E=av("defaultValue",t,e,n);return[dl(o,C,x,C.dtype===E.dtype?E:E.asType(C.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ey=function(t,e,n){switch(t.op){case"FFT":return[ll(av("x",t,e,n))];case"IFFT":return[cl(av("x",t,e,n))];case"RFFT":return[pl(av("x",t,e,n))];case"IRFFT":return[hl(av("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ny=function(t,e,n){switch(t.op){case"Cast":return[Mn(av("x",t,e,n),av("dtype",t,e,n))];case"ExpandDims":var r=av("axis",t,e,n);return[Vn(av("x",t,e,n),r)];case"Squeeze":return r=av("axis",t,e,n),[tr(av("x",t,e,n),r)];case"Reshape":return[Zn(av("x",t,e,n),av("shape",t,e,n))];case"PadV2":case"Pad":return[qn(av("x",t,e,n),cv(av("padding",t,e,n),2),av("constantValue",t,e,n))];case"SpaceToBatchND":var i=av("blockShape",t,e,n),a=cv(av("paddings",t,e,n),2);return[Qn(av("x",t,e,n),i,a)];case"BatchToSpaceND":i=av("blockShape",t,e,n);var o=cv(av("crops",t,e,n),2);return[Fn(av("x",t,e,n),i,o)];case"DepthToSpace":var s=av("blockSize",t,e,n),u=av("dataFormat",t,e,n).toUpperCase();return[Pn(av("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function ry(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return Uv(t,e,n);case"basic_math":return jv(t,e,n);case"control":return function(t,e,n){return Zg(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b,w,x,N,C,E,S,I,k,A,T,R,D,O,_,z,F,M;return Qg(this,function(L){switch(L.label){case 0:switch(t.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[av("pred",t,e,n).clone()]];case 2:return r=av("pred",t,e,n),i=av("data",t,e,n),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(a=t.inputNames.find(function(t){return void 0!==ov(t,e,n)}))?[ov(a,e,n).clone()]:void 0];case 5:return o=av("frameName",t,e,n),s=av("tensor",t,e,n),n.enterFrame(o),[2,[s.clone()]];case 6:return u=av("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=av("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=av("size",t,e,n),p=av("dtype",t,e,n),h=av("elementShape",t,e,n),f=av("dynamicSize",t,e,n),d=av("clearAfterRead",t,e,n),m=av("identicalElementShapes",t,e,n),g=av("name",t,e,n),v=new qv(g,p,c,h,m,f,d),n.addTensorArray(v),[2,[en(v.id),en(1)]];case 9:return y=av("tensorArrayId",t,e,n),b=av("index",t,e,n),w=av("tensor",t,e,n),n.getTensorArray(y).write(b,w),[2,[en(1)]];case 10:return x=av("tensorArrayId",t,e,n),N=av("index",t,e,n),[2,[n.getTensorArray(x).read(N)]];case 11:return C=av("tensorArrayId",t,e,n),E=av("indices",t,e,n),S=av("dtype",t,e,n),[2,[n.getTensorArray(C).gather(E,S)]];case 12:return I=av("tensorArrayId",t,e,n),k=av("indices",t,e,n),A=av("tensor",t,e,n),n.getTensorArray(I).scatter(k,A),[2,[en(1)]];case 13:return T=av("tensorArrayId",t,e,n),R=n.getTensorArray(T),D=av("dtype",t,e,n),[2,[R.concat(D)]];case 14:return O=av("tensorArrayId",t,e,n),_=av("tensor",t,e,n),z=av("lengths",t,e,n),n.getTensorArray(O).split(z,_),[2,[en(1)]];case 15:return F=av("tensorArrayId",t,e,n),[2,[en(n.getTensorArray(F).size(),"int32")]];case 16:return M=av("tensorArrayId",t,e,n),n.getTensorArray(M).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"convolution":return Gv(t,e,n);case"creation":return Hv(t,e,n);case"dynamic":return function(t,e,n){return Zg(this,void 0,void 0,function(){var r,i,a,o,s;return Qg(this,function(u){switch(u.label){case 0:switch(t.op){case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,3];case"ListDiff":return[3,5]}return[3,7];case 1:return r=av("boxes",t,e,n),i=av("scores",t,e,n),a=av("maxOutputSize",t,e,n),o=av("iouThreshold",t,e,n),s=av("scoreThreshold",t,e,n),[4,Wl.nonMaxSuppressionAsync(r,i,a,o,s)];case 2:return[2,[u.sent()]];case 3:return[4,qu(av("condition",t,e,n))];case 4:return[2,[u.sent()]];case 5:return[4,ar(av("x",t,e,n),av("y",t,e,n))];case 6:return[2,u.sent()];case 7:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"evaluation":return Kv(t,e,n);case"image":return Xv(t,e,n);case"graph":return $v(t,e,n);case"logical":return Yv(t,e,n);case"matrices":return Jv(t,e,n);case"normalization":return Zv(t,e,n);case"reduction":return Qv(t,e,n);case"slice_join":return ty(t,e,n);case"spectral":return ey(t,e,n);case"transformation":return ny(t,e,n);case"custom":var r=iv(t.op);if(r&&r.customExecutor)return r.customExecutor(new Wv(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 iy=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 ay(t,e,n){for(var r=new Set,i=[],a=null,o=null,s=new Set,u=e.slice();u.length>0;){var l=u.pop();(uy(l)||ly(l))&&null==a&&(o=(a=l).children.map(function(t){return t.name}).filter(function(t){return r.has(t)})),r.add(l.name),null==n[l.name]&&null==t[l.name]&&(0!==l.inputs.length?l.inputs.forEach(function(t){s.has(t.name)||(s.add(t.name),u.push(t))}):i.push(l.name))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:i,dynamicNode:a,syncInputs:o}}var oy=["Switch","Merge","Enter","Exit","NextIteration"],sy=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"];function uy(t){return oy.indexOf(t.op)>=0}function ly(t){return sy.indexOf(t.op)>=0}var cy=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=t.placeholders,this._outputs=t.outputs}return Object.defineProperty(t.prototype,"weightMap",{get:function(){return this._weightMap},set:function(t){var e=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})});this.weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this.placeholders.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(t){return t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this.outputs.map(function(t){return t.name})},enumerable:!0,configurable:!0}),t.prototype.getCompilationKey=function(t,e){var n=t.map(function(t){return t.name}).sort(),r=e.map(function(t){return t.name}).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.prototype.compile=function(t,e){var n=ay(t,e,this.weightMap),r=n.missingInputs,i=n.dynamicNode,a=n.syncInputs;if(null!=i)throw new Error("This execution contains the node '"+i.name+"', which has the dynamic op '"+i.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+a+"]");if(r.length>0){var o=e.map(function(t){return t.name}),s=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(t,e,n){var r=n.usedNodes,i=n.inputs,a=[];Object.keys(i).map(function(e){return t.nodes[e]}).forEach(function(t){r.has(t.name)&&a.push(t)}),t.weights.forEach(function(t){r.has(t.name)&&a.push(t)});for(var o=new Set,s=[];a.length>0;){var u=a.pop();o.add(u.name),e[u.name]||s.push(u),u.children.forEach(function(t){!o.has(t.name)&&r.has(t.name)&&t.inputs.every(function(t){return o.has(t.name)})&&a.push(t)})}return s}(this.graph,this.weightMap,n)},t.prototype.fusePrelu=function(){!function(t,e){var n=function(n){var r=t.nodes[n];if(null==r||"Add"!==r.op&&"AddV2"!==r.op||2!==r.inputNames.length)return"continue";var i=r.inputs.find(function(t){return"Relu"===t.op});if(null==i||1!==i.inputNames.length)return"continue";var a=r.inputs.find(function(t){return"Mul"===t.op});if(null==a||2!==a.inputNames.length)return"continue";var o=a.inputs.find(function(t){return"Const"===t.op}),s=a.inputs.find(function(t){return"Relu"===t.op});if(null==o||null==s||1!==s.inputNames.length)return"continue";var u=s.inputs[0];if(null==u||"Neg"!==u.op||1!==u.inputNames.length)return"continue";if(i.inputNames[0]!==u.inputNames[0])return"continue";var l=i.inputs[0],c=r.children,p=o.name+"_neg",h={name:p,inputNames:[],inputs:[],attrParams:{},category:"graph",children:[],op:"Const",inputParams:{},rawAttrs:{}};e[p]=[jo(e[o.name][0])],t.weights.push(h);var f={name:r.name+"_Prelu",inputNames:[l.name,h.name],inputs:[l,h],attrParams:{},category:"custom",children:c,op:"Prelu",inputParams:{x:{inputIndexStart:0,type:"tensor"},alpha:{inputIndexStart:1,type:"tensor"}}};h.children.push(f);var d=o.children.indexOf(a);d>-1&&o.children.splice(d,1);var m=l.children.indexOf(i);m>-1&&l.children.splice(m,1);var g=l.children.indexOf(u);if(g>-1&&l.children.splice(g,1),l.children.push(f),c.forEach(function(t){var e=t.inputNames.indexOf(r.name);e>-1&&(t.inputNames[e]=f.name,t.inputs[e]=f)}),0===c.length){var v=t.outputs.indexOf(r);v>-1&&t.outputs.splice(v,1),t.outputs.push(f)}delete t.nodes[r.name],delete t.nodes[a.name],delete t.nodes[i.name],delete t.nodes[s.name],delete t.nodes[u.name],t.nodes[f.name]=f,t.nodes[h.name]=h};for(var r in t.nodes)n(r)}(this.graph,this.weightMap)},t.prototype.execute=function(t,e){var n=this,r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e);var i=r.map(function(t){return n.graph.nodes[t]}),a=e.map(function(t){return n.graph.nodes[lv(t)[0]]}),o=this.getCompilationKey(i,a),s=this.compiledMap.get(o);null==s&&(s=this.compile(t,a),this.compiledMap.set(o,s));var u={};return Re(function(){var r=new iy(n._weightMap,u),i=Jg({},n.weightMap);Object.keys(t).forEach(function(e){i[e]=[t[e]]});for(var a=n.getFrozenTensorIds(i),o={},l=0;l<s.length;l++){var c=s[l];if(!i[c.name]){var p=ry(c,i,r);if(p instanceof Promise)throw new Error("The execution of the op '"+c.op+"' returned a promise. Please use model.executeAsync() instead.");i[c.name]=p,n.checkTensorForDisposal(c.name,c,i,r,a,e,o)}}return e.map(function(t){return ov(t,i,r)})})},t.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(e){return t[e]}).map(function(t){return t.map(function(t){return t.id})}));return new Set(e)},t.prototype.checkTensorForDisposal=function(t,e,n,r,i,a,o){"control"!==e.category&&-1===a.indexOf(t)&&(n[t].forEach(function(t){null!=t&&(o[t.id]=(o[t.id]||0)+e.children.length)}),e.inputs.forEach(function(t){if("control"!==t.category){var e=function(t,e,n){return e[uv(t,n.currentContextId)]}(t.name,n,r);null!=e&&e.forEach(function(t){if(t&&!i.has(t.id)){var e=o[t.id];1===e?(t.dispose(),delete o[t.id]):null!=e&&o[t.id]--}})}}))},t.prototype.executeAsync=function(t,e){return Zg(this,void 0,void 0,function(){var n,r,i,a,o,s,u=this;return Qg(this,function(l){switch(l.label){case 0:return this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e),n={},r=new iy(this._weightMap,n),[4,this.executeWithControlFlow(t,r,e)];case 1:return i=l.sent(),a=e.map(function(t){return ov(t,i,r)}),o=new Set(a.map(function(t){return t.id})),s=new Set(Object.keys(t).map(function(e){return t[e].id})),Object.keys(i).forEach(function(t){i[t].forEach(function(t){!t||t.isDisposed||o.has(t.id)||s.has(t.id)||-1!==u.weightIds.indexOf(t.id)||t.dispose()})}),[2,a]}})})},t.prototype.executeWithControlFlow=function(t,e,n){return Zg(this,void 0,void 0,function(){var r,i,a,o,s,u,l,c,p,h,f,d,m,g,v,y,b=this;return Qg(this,function(w){switch(w.label){case 0:r=Object.keys(t),i=r.map(function(t){return b.graph.nodes[t]}),a=n.map(function(t){return b.graph.nodes[lv(t)[0]]}),o=ay(t,a,this.weightMap),s=o.usedNodes,u=o.missingInputs,l=o.dynamicNode,c=o.syncInputs,p=i.concat(this.graph.weights).map(function(t){return{node:t,contexts:e.currentContext}}),h=Jg({},this.weightMap),Object.keys(t).forEach(function(e){h[e]=[t[e]]}),f={},d=this.getFrozenTensorIds(h),m={},w.label=1;case 1:return p.length>0?(g=this.processStack(i,p,e,h,m,d,n,f,s),[4,Promise.all(g)]):[3,3];case 2:return w.sent(),[3,1];case 3:if(null==l&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(v=a.filter(function(t){return!uy(t)&&!ov(t.name,h,e)}).map(function(t){return t.name})).length>0)throw y="",null!=l&&(y="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+c+"]"),new Error("Cannot compute the outputs ["+v+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+u+"]. 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1:return[2,t.sent().toArray()]}})})},t.prototype.toArrayForTest=function(){return gy(this,void 0,void 0,function(){return vy(this,function(t){switch(t.label){case 0:if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArrayForTest()]}})})},t.MAX_BUFFER_SIZE=1e4,t}();function rb(t,e){return void 0===e&&(e=null),new(function(n){function r(){var t=null!==n&&n.apply(this,arguments)||this;return t.size=e,t}return my(r,n),r.prototype.iterator=function(){return gy(this,void 0,void 0,function(){return vy(this,function(e){return[2,t()]})})},r}(nb))}function ib(t){return null===t?null:function(t){return null==t||function(t){return null===t||"object"!=typeof t&&"function"!=typeof t}(t)||Array.isArray(t)||"object"==typeof t&&t instanceof ht||Q.isTypedArray(t)}(t[0])?{value:function(t){if(0===t.length)throw new Error("Can't make a batch of zero elements.");return t[0]instanceof ht?er(t):Qe(t)}(t),recurse:!1}:{value:null,recurse:!0}}var ab=function(t){function e(e){var n=t.call(this)||this;return n.input=e,n}return my(e,t),e.prototype.iterator=function(){return gy(this,void 0,void 0,function(){var t;return vy(this,function(e){switch(e.label){case 0:return[4,this.input.iterator()];case 1:return t=e.sent(),[2,t.decodeUTF8().split("\n").map(function(t){return t.endsWith("\r")&&(t=t.slice(0,-1)),t})]}})})},e}(nb),ob=Symbol("out"),sb=Symbol("field"),ub=Symbol("quote"),lb=Symbol("quoteafterquote"),cb=Symbol("quoteinquote"),pb=function(t){function e(e,n){var r=t.call(this)||this;return r.input=e,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new ab(e),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(Q.assert(null==n.delimiter,function(){return"Delimiter should not be provided when delimWhitespace is true."}),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=n.delimiter?n.delimiter:",",r}return my(e,t),e.prototype.columnNames=function(){return gy(this,void 0,void 0,function(){return vy(this,function(t){switch(t.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:t.sent(),t.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},e.prototype.setColumnNames=function(){return gy(this,void 0,void 0,function(){var t,e,n,r,i,a,o=this;return vy(this,function(s){switch(s.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(t=s.sent(),!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&t&&Q.assert(t.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+o.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=t),e=this.fullColumnNames.reduce(function(t,e){return t[e]=t[e]+1||1,t},{}),n=Object.keys(e).filter(function(t){return e[t]>1}),Q.assert(0===n.length,function(){return"Duplicate column names found: "+n.toString()}),this.columnConfigs)for(r=0,i=Object.keys(this.columnConfigs);r<i.length;r++)if(a=i[r],-1===this.fullColumnNames.indexOf(a))throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}})})},e.prototype.maybeReadHeaderLine=function(){return gy(this,void 0,void 0,function(){var t,e;return vy(this,function(n){switch(n.label){case 0:return 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cb:switch(t.charAt(o)){case'"':a=ub}}if(a===lb?n.push(t.substring(r,i-1)):n.push(t.substring(r)),e&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. 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At least one type of data should be returned.");return n}return my(n,e),n.prototype.summary=function(){return"microphone"},n.create=function(e){return void 0===e&&(e={}),gy(this,void 0,void 0,function(){var r;return vy(this,function(i){switch(i.label){case 0:if(t.ENV.get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return[4,(r=new n(e)).start()];case 1:return i.sent(),[2,r]}})})},n.prototype.start=function(){return gy(this,void 0,void 0,function(){var t,e,n,r;return vy(this,function(i){switch(i.label){case 0:return i.trys.push([0,2,,3]),t=this,[4,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})];case 1:return t.stream=i.sent(),[3,3];case 2:throw e=i.sent(),new Error("Error thrown while initializing video stream: "+e.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(n=window.AudioContext||window.webkitAudioContext,this.audioContext=new n,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate)}else this.sampleRateHz=this.audioContext.sampleRate;return r=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,r.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},n.prototype.next=function(){return gy(this,void 0,void 0,function(){var t,e,n,r,i;return vy(this,function(a){switch(a.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return n=a.sent(),this.includeSpectrogram&&(r=this.flattenQueue(n.freqDataQueue),t=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(n.timeDataQueue),e=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:t,waveform:e},done:!1}]}})})},n.prototype.capture=function(){return gy(this,void 0,void 0,function(){return vy(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},n.prototype.getAudioData=function(){return gy(this,void 0,void 0,function(){var t,e,n,r=this;return vy(this,function(i){return t=[],e=[],n=0,[2,new Promise(function(i){var a=setInterval(function(){r.includeSpectrogram&&(r.analyser.getFloatFrequencyData(r.freqData),r.freqData[0]===-1/0&&i({freqDataQueue:t,timeDataQueue:e}),t.push(r.freqData.slice(0,r.columnTruncateLength))),r.includeWaveform&&(r.analyser.getFloatTimeDomainData(r.timeData),e.push(r.timeData.slice())),++n===r.numFrames&&(clearInterval(a),i({freqDataQueue:t,timeDataQueue:e}))},r.fftSize/r.sampleRateHz*1e3)})]})})},n.prototype.stop=function(){this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop()},n.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},n.prototype.getSampleRate=function(){return this.sampleRateHz},n.prototype.flattenQueue=function(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},n.prototype.getTensorFromAudioDataArray=function(t,e){var n=new Float32Array(Q.sizeFromShape(e));return n.set(t,n.length-t.length),Qe(n,e)},n}(Py),fb=function(e){function n(t,n){var r=e.call(this)||this;if(r.webcamVideoElement=t,r.webcamConfig=n,r.isClosed=!0,r.resize=!1,r.needToResize())if(r.resize=!0,r.cropSize=[r.webcamConfig.resizeHeight,r.webcamConfig.resizeWidth],r.cropBoxInd=nn([0],"int32"),r.webcamConfig.centerCrop){var i=1*r.webcamConfig.resizeWidth/r.webcamVideoElement.width,a=1*r.webcamConfig.resizeHeight/r.webcamVideoElement.height,o=(1-i)/2,s=(1-a)/2,u=o+i,l=a+s;r.cropBox=rn([s,o,l,u],[1,4])}else r.cropBox=rn([0,0,1,1],[1,4]);return r}return my(n,e),n.prototype.summary=function(){return"webcam"},n.create=function(e,r){return void 0===r&&(r={}),gy(this,void 0,void 0,function(){var i;return vy(this,function(a){switch(a.label){case 0:if(t.ENV.get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!r.resizeWidth||!r.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=r.resizeWidth,e.height=r.resizeHeight}return[4,(i=new n(e,r)).start()];case 1:return a.sent(),[2,i]}})})},n.prototype.start=function(){return gy(this,void 0,void 0,function(){var t,e,n=this;return vy(this,function(r){switch(r.label){case 0:this.webcamConfig.facingMode&&Q.assert("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,function(){return"Invalid webcam facing mode: "+n.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),r.label=1;case 1:return r.trys.push([1,3,,4]),t=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return t.stream=r.sent(),[3,4];case 3:throw(e=r.sent()).message="Error thrown while initializing video stream: "+e.message,e;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(t){n.webcamVideoElement.onloadedmetadata=function(){t()}})]}})})},n.prototype.next=function(){return gy(this,void 0,void 0,function(){var t;return vy(this,function(e){if(this.isClosed)return[2,{value:null,done:!0}];try{t=Hc.fromPixels(this.webcamVideoElement)}catch(t){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(t))}if(!this.resize)return[2,{value:t,done:!1}];try{return[2,{value:this.cropAndResizeFrame(t),done:!1}]}catch(t){throw new Error("Error thrown cropping the video: "+t.message)}finally{t.dispose()}return[2]})})},n.prototype.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},n.prototype.cropAndResizeFrame=function(t){var e=this;return Re(function(){var n,r=t.toFloat().expandDims(0),i=(n=Wl.cropAndResize(r,e.cropBox,e.cropBoxInd,e.cropSize,"bilinear")).shape;return n.reshape(i.slice(1))})},n.prototype.capture=function(){return gy(this,void 0,void 0,function(){return vy(this,function(t){switch(t.label){case 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