analytics/webcontent/bi/js/smarts-experimental-js/whatIfService.min.js

/*! For license information please see whatIfService.min.js.LICENSE.txt */
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0===t&&(t=-1),this.throwIfDisposed(),bt.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),bt.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),bt.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),bt.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,a,i){return void 0===r&&(r="NWC"),void 0===a&&(a=1),this.throwIfDisposed(),bt.conv1d(this,t,e,n,r,a,i)},t.prototype.conv2d=function(t,e,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),bt.conv2d(this,t,e,n,r,a,i)},t.prototype.conv2dTranspose=function(t,e,n,r,a){return this.throwIfDisposed(),bt.conv2dTranspose(this,t,e,n,r,a)},t.prototype.depthwiseConv2D=function(t,e,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),bt.depthwiseConv2d(this,t,e,n,r,a,i)},t.prototype.separableConv2d=function(t,e,n,r,a,i){return void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC"),this.throwIfDisposed(),bt.separableConv2d(this,t,e,n,r,a,i)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),bt.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),bt.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),bt.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,a){return this.throwIfDisposed(),bt.pool(this,t,e,n,r,a)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),yt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),bt.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),bt.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),bt.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),bt.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,a,i,o,s){return void 0===r&&(r=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===s&&(s=0),this.throwIfDisposed(),bt.stridedSlice(this,t,e,n,r,a,i,o,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),bt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),bt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),bt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),bt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),bt.spectral.irfft(this)},t}();Object.defineProperty(wt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var Ct,Nt,St,kt,It,Et=function(t){function e(e,n,r,a){var i=t.call(this,e.shape,e.dtype,e.dataId,a)||this;return i.trainable=n,i.name=r,i}return i(e,t),e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!D(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");yt().disposeTensor(this),this.dataId=t.dataId,yt().incRef(this,null)},e.prototype.dispose=function(){yt().disposeVariable(this),this.isDisposedInternal=!0},e}(wt);Object.defineProperty(Et,Symbol.hasInstance,{value:function(t){return t instanceof wt&&null!=t.assign&&t.assign instanceof Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(Ct||(Ct={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(Nt||(Nt={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(St||(St={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(kt||(kt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(It||(It={}));var At={float32:kt,int32:Nt,bool:St,complex64:It};function Tt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return At[t][e]}function Rt(t){return Tt(t,"int32")}function Dt(t,e){if(t.dtype===e.dtype)return[t,e];var n=Tt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Ot(t,e){I(t.dtype===e.dtype,(function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"}))}function _t(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof wt)n.push(e);else if(a=e,Array.isArray(a)||"object"==typeof a){var a,i=e;for(var o in i){var s=i[o];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}var Ft,Mt=Object.freeze({makeTypesMatch:Dt,assertTypesMatch:Ot,isTensorInList:function(t,e){return e.some((function(e){return e.id===t.id}))},getTensorsInContainer:_t}),zt=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Lt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new zt}return t.prototype.ready=function(){return o(this,void 0,void 0,(function(){var t,e,n;return s(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return o(this,void 0,void 0,(function(){var e,n,r;return s(this,(function(a){switch(a.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=a.sent(),[3,3];case 2:r=n,a.label=3;case 3:if(!r)return[2,!1];a.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ht(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;g(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;g(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))})).catch((function(n){return!(a<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,a=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,a,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,a=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");a=t}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},t.prototype.runKernel=function(t,e,n,r,a){return this.runKernelFunc(null,e,null,t,n,r,a)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(t){a+="complex64"===t.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-a-i;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,a,i,o){var s,u=this,l=[],c=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var p,h=this.state.numBytes,f=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=d(r,this.backendName);if(null!=g)p=function(){var t=u.backend.numDataIds();m=g.kernelFunc({inputs:e,attrs:a,backend:u.backend});var n=Array.isArray(m)?m:[m];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}));if(c){var p=u.getTensorsForGradient(r,e,s);if(null==p){null==o&&(o=[]);var h=s.filter((function(t,e){return o[e]}));p=(i||[]).slice().concat(h)}l=u.saveTensorsForBackwardMode(p)}return s};else{var v=function(t){c&&(l=t.map((function(t){return u.keep(u.clone(t))})))};p=function(){var e=u.backend.numDataIds();m=u.tidy((function(){return t(u.backend,v)}));var n=Array.isArray(m)?m:[m];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return p()})):p()})),c&&this.addTapeNode(r,e,s,n,l,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-f,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(m)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map((function(t){return e.keep(e.clone(t))}))},t.prototype.getTensorsForGradient=function(t,e,n){var r=m(t);if(null!=r){var a=r.inputsToSave||[],i=r.outputsToSave||[],o=void 0;r.saveAllInputs?(I(Array.isArray(e),(function(){return"saveAllInputs is true, expected inputs to be an array."})),o=Object.keys(e).map((function(t){return e[t]}))):o=a.map((function(t){return e[t]}));var s=n.filter((function(t,e){return i[e]}));return o.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=t;"string"===n&&X(t[0])&&(a=t.map((function(t){return st(t)})));var i=r.write(a,e,n),o=new wt(e,n,i,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=K(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.prototype.makeTensorFromDataId=function(t,e,n,r){var a=new wt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(a,r),a},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var a=new Et(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*H(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Et||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return o(this,void 0,void 0,(function(){var e,n;return s(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:a},u=m(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],a=at(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],a,i)}),this.state.activeTape.push(s)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=_t(t),r=new Set(n.map((function(t){return t.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==o.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var a=this;if(void 0===r&&(r=!1),I(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 i=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",t)}));I(i instanceof wt,(function(){return"The result y returned by f() must be a tensor."}));var o=function(t,e,n){for(var r={},a={},i=0;i<e.length;i++)r[e[i].id]=!0;for(i=0;i<t.length;i++){var o=(d=t[i]).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,a[d.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var h={};for(i=t.length-1;i>=0;i--)for(o=(d=t[i]).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(i=0;i<t.length;i++){var d;if(a[(d=t[i]).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,i);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[i.id]=null==n?(r=rt(R(t=i.shape),"float32"),Bt.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var a=e[r],i=[];if(a.outputs.forEach((function(e){var n=t[e.id];null!=n?i.push(n):i.push(null)})),null==a.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+a.kernelName+".");var o=a.gradient(i),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 "+a.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var i=a.inputs[e];if(!D(r.shape,i.shape))throw new Error("Error in gradient for op "+a.kernelName+". 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si("imag")},t.prototype.cropAndResize=function(t,e,n,r,a,i){return si("cropAndResize")},t.prototype.depthToSpace=function(t,e,n){return si("depthToSpace")},t.prototype.split=function(t,e,n){return si("split")},t.prototype.sparseToDense=function(t,e,n,r){return si("sparseToDense")},t.prototype.diag=function(t){return si("diag")},t.prototype.fill=function(t,e,n){return si("fill")},t.prototype.onesLike=function(t){return si("onesLike")},t.prototype.zerosLike=function(t){return si("zerosLike")},t.prototype.linspace=function(t,e,n){return si("linspace")},t.prototype.dispose=function(){return si("dispose")},t}();function si(t){throw new Error("'"+t+"' not yet implemented or not found in the registry. Did you forget to import the kernel?")}function ui(t,e,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=fi(e),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,t[3],t[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,t[1],t[1]]}return ci(t,s,n,r,a,i,!1,o)}function li(t,e,n,r,a,i,o){void 0===o&&(o="NDHWC");var s,u,l=di(e),c=l[0],p=l[1],h=l[2];if("NDHWC"===o)u="channelsLast",s=[c,p,h,t[4],t[4]];else{if("NCDHW"!==o)throw new Error("Unknown dataFormat "+o);u="channelsFirst",s=[c,p,h,t[1],t[1]]}return pi(t,s,n,r,a,!1,u,i)}function ci(t,e,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],h=u[3];if("channelsLast"===s)l=t[0],c=t[1],p=t[2],h=t[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=t[0],h=t[1],c=t[2],p=t[3]}var f,d=e[0],m=e[1],g=e[3],v=fi(n),y=v[0],b=v[1],x=fi(r),w=x[0],C=x[1],N=mi(d,w),S=mi(m,C),k=function(t,e,n,r,a,i,o,s){var u,l,c;if("number"==typeof t){u={top:t,bottom:t,left:t,right:t,type:0===t?"VALID":"NUMBER"};var p=function(t,e,n,r,a){null==r&&(r=hi(t,e,n));var i=t[1],o=gi((t[0]-e+2*r)/n+1,a);I(O(o),(function(){return"The output # of rows ("+o+") must be an integer. 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r=(e-t)/(n-1),a=at(n,"float32");a[0]=t;for(var i=1;i<a.length;i++)a[i]=a[i-1]+r;return _n(a,"float32")}var Ni=Object.freeze({castTensor:xi,reshapeTensor:wi,linspaceImpl:Ci,upcastType:Tt,axesAreInnerMostDims:gn,combineLocations:vn,computeOutAndReduceShapes:yn,expandShapeToKeepDim:bn,assertAxesAreInnerMostDims:xn,getAxesPermutation:wn,getUndoAxesPermutation:Cn,getInnerMostAxes:Nn,getBroadcastDims:_r,getReductionAxes:Fr,assertAndGetBroadcastShape:Mr,assertParamsConsistent:Sn,computeOutShape:kn,computePool2DInfo:ui,computePool3DInfo:li,computeConv2DInfo:ci,computeConv3DInfo:pi,computeDefaultPad:hi,tupleValuesAreOne:vi,eitherStridesOrDilationsAreOne:yi,convertConv2DDataFormat:bi,PARALLELIZE_THRESHOLD:30,computeOptimalWindowSize:za});function Si(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 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g=!1,v=c.length-1;v>=m;--v){var y=_i(t,d,c[v]);if(y>=r){g=!0;break}if(h.score=h.score*Fi(r,l,y),h.score<=a)break}h.suppressBeginIndex=c.length,g||(h.score===f?(c.push(d),p.push(h.score)):h.score>a&&Ai(u,h,Mi))}var b=c.length;return s&&(c.fill(0,b),p.fill(0,b)),{selectedIndices:_n(c,"int32"),selectedScores:_n(p,"float32"),numValidOutputs:On(b,"int32")}}function _i(t,e,n){var r=t.subarray(4*e,4*e+4),a=t.subarray(4*n,4*n+4),i=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(a[0],a[2]),c=Math.min(a[1],a[3]),p=Math.max(a[0],a[2]),h=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(i,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 Fi(t,e,n){var r=Math.exp(e*n*n);return n<=t?r:0}function Mi(t,e){return t.score-e.score||t.score===e.score&&e.boxIndex-t.boxIndex}function zi(t,e,n){var r=new Array(t.rank).fill(0),a=t.shape.slice();return e.map((function(e){a[n]=e;var i=t.slice(r,a);return r[n]+=e,i}))}function Li(t,e){for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var a=Qn(n,t.dtype);for(r=0;r<a.values.length;++r){for(var i=a.indexToLoc(r),o=new Array(t.rank),s=0;s<o.length;s++)o[s]=i[s]%t.shape[s];var u=t.locToIndex(o);a.values[r]=t.values[u]}return a.toTensor()}function Bi(t,e,n,r,a){for(var i=e[e.length-1],o=[t.length/i,i],s=o[0],u=o[1],l=W(n,s*r),c=W("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,[Rn(l,b,n),Rn(c,b,"int32")]}function Pi(t,e){for(var n=[],r=0;r<e.length;r++)e[r]&&n.push(r);var a=Qn(t,"int32"),i=Qn([n.length,t.length],"int32");for(r=0;r<n.length;r++){var o=a.indexToLoc(n[r]),s=r*t.length;i.values.set(o,s)}return i.toTensor()}var Wi=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    "},Vi=function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((function(t,e){return"T"+e}));var n=[];this.variableNames.forEach((function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")}));var r=this.variableNames.map((function(t){return"v"+t})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "},Ui=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,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 ji(t,e){return["x","y","z","w","u","v"].slice(0,e).map((function(e){return t+"."+e}))}function Gi(t,e){return 1===e?[t]:ji(t,e)}function qi(){var t,e,n,r,a,i,o,s,u,l;return 2===c().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",a="texture",i="outputColor",o="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",l="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:l}}function Hi(t,e,n){void 0===n&&(n="index");var r=tt(e);return r.map((function(e,a){return"int "+t[a]+" = "+n+" / "+e+"; "+(a===r.length-1?"int "+t[a+1]+" = "+n+" - "+t[a]+" * "+e:"index -= "+t[a]+" * "+e)+";"})).join("")}function Ki(t){var e=tt(t).map((function(t){return t.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var Xi="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function Yi(t,e,n,r){var a=[];t.forEach((function(t){var e=R(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?a.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(a.push("uniform sampler2D "+t.name+";"),a.push("uniform int offset"+t.name+";"))}));var i,o,s=a.join("\n"),u=t.map((function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?$i(t):Ji(t);var a=t.shapeInfo.logicalShape,i=e.logicalShape;return a.length<=i.length&&(r+=n?function(t,e){var n,r,a=t.name,i=a.charAt(0).toUpperCase()+a.slice(1),o="get"+i+"AtOutCoords",s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length,l=_r(t.shapeInfo.logicalShape,e.logicalShape),c=ao(u),p=u-s,h=["x","y","z","w","u","v"];n=0===s?"":u<2&&l.length>=1?"coords = 0;":l.map((function(t){return"coords."+h[t+p]+" = 0;"})).join("\n"),r=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+h[e+p]})).join(", ");var f="return outputValue;",d=1===R(t.shapeInfo.logicalShape),m=1===R(e.logicalShape);if(1!==s||d||m){if(d&&!m)f=1===u?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(l.length){var g=s-2,v=s-1;l.indexOf(g)>-1&&l.indexOf(v)>-1?f="return vec4(outputValue.x);":l.indexOf(g)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":l.indexOf(v)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+o+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+r+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=e.texShape,o=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&D(o,i))return"\n      float "+a+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=ao(u),c=_r(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+a+"() {\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=qi(),p=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(c),h=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+Zi+"\n    "+Qi+"\n    "+to+"\n  "}(c);return e.isPacked?(i=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(D(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(i=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+a[0]+", "+a[1]+"));\n      int index = resTexRC.x * "+a[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+i+");\n      int c = imod(index, "+i+") * 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),a=r*Math.ceil(t[t.length-2]/2),i=a,o="",s="b, r, c",u=2;u<t.length-1;u++)o="\n      int b"+u+" = index / "+(i*=t[t.length-u-1])+";\n      index -= b"+u+" * "+i+";\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 / "+a+";\n      index -= b * "+a+";\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,a,i,o}(e.logicalShape,l),o=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(c)):(i=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return D(t,e)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ":1===t[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===t[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=Hi(["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=Hi(["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=Hi(["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=Hi(["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=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(c)),r&&(h+=eo),[h,p,o,s,i,u,n].join("\n")}function Ji(t){var e=t.shapeInfo.logicalShape;switch(e.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,a=r[0],i=r[1];if(1===a&&1===i)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=t.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+o[0]+", "+o[1]+", "+no(e)+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);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        "+ro(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=no(e);return 1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+a+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+i+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+a+", "+i+", index + "+o+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape;if(null!=a&&D(e,a)){var i=a[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+a[1]+".0, "+i+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var o=P(e),s=o.newShape,u=o.keptDims,l=s;if(l.length<e.length)return"\n      "+Ji(io(t,l))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+oo(["row","col"],u)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+ro(t)+"\n      }\n    ";var c=a[0],p=a[1],h=no(n);return 1===p?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+c+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===c?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+h+";\n    vec2 uv = uvFromFlat("+c+", "+p+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[1]*e[2],i=e[2],o=P(e),s=o.newShape,u=o.keptDims,l=s;if(l.length<e.length)return"\n        "+Ji(io(t,l))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+oo(["row","col","depth"],u)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+i+", 1)));\n        "+ro(t)+"\n      }\n    ";var c=t.shapeInfo.texShape,p=c[0],h=c[1],f=t.shapeInfo.flatOffset;return h===a&&null==f?"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+i+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":h===i&&null==f?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+i+" + depth + "+no(n)+";\n        vec2 uv = uvFromFlat("+p+", "+h+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[3],i=e[2]*a,o=e[1]*i,s=P(e),u=s.newShape,l=s.keptDims;if(u.length<e.length)return"\n      "+Ji(io(t,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+oo(["row","col","depth","depth2"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+i+", "+a+", 1)));\n        "+ro(t)+"\n      }\n    ";var c=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,h=p[0],f=p[1];return f===o&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":f===a&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+i+" +\n          depth * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+h+", "+f+", index + "+no(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[4],i=e[3]*a,o=e[2]*i,s=e[1]*o,u=P(e),l=u.newShape,c=u.keptDims;if(l.length<e.length)return"\n      "+Ji(io(t,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+oo(["row","col","depth","depth2","depth3"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+i+", "+a+")) +\n          depth3;\n        "+ro(t)+"\n      }\n    ";var p=t.shapeInfo.flatOffset,h=t.shapeInfo.texShape,f=h[0],d=h[1];return d===s&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===a&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+i+" +\n          depth2 * "+a+" + depth3 + "+no(n)+";\n      vec2 uv = uvFromFlat("+f+", "+d+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=P(e),i=a.newShape,o=a.keptDims;if(i.length<e.length)return"\n      "+Ji(io(t,i))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+oo(["row","col","depth","depth2","depth3","depth4"],o)+");\n      }\n    ";var s=e[5],u=e[4]*s,l=e[3]*u,c=e[2]*l,p=e[1]*c;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+p+", "+c+", "+l+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+ro(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],m=f[1];return m===p&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+c+", "+l+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":m===s&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+p+" + col * "+c+" + depth * "+l+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+no(n)+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function $i(t){var e;switch(t.shapeInfo.logicalShape.length){case 0:return"\n    vec4 get"+(e=t.name).charAt(0).toUpperCase()+e.slice(1)+"() {\n      return "+qi().texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=qi();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return "+i.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape,i=a[0],o=a[1],s=qi();if(null!=a&&D(e,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(e[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===e[0])return"\n        "+$i(io(t,e.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+oo(["b","row","col"],[1,2])+");\n        }\n      ";var o=i[0],s=i[1],u=Math.ceil(e[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+o+", "+s+", "+u*Math.ceil(e[1]/2)+", "+u+", b, row, col);\n      return "+qi().texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[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,h="b"+f+" * "+(c*=e[n-f-1])+" + "+h;return"\n    vec4 "+a+"("+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 "+qi().texture2D+"("+r+", uv);\n    }\n  "}(t)}}var Zi="\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",Qi="\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",to="\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",eo="\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 no(t){return"offset"+t}function ro(t){var e=t.name,n=R(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 ao(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 io(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function oo(t,e){return e.map((function(e){return t[e]})).join(", ")}var so=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,I(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=t[t.length-1],i=Math.ceil(a/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=ao(l),p=Gi("coords",l);if(1===i){var h=ao(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(t){return"int "+t})),g=Gi("sourceLocR",s-1).concat("inIdx.r"),v=Gi("sourceLocG",s-1).concat("inIdx.g"),y=Gi("sourceLocB",s-1).concat("inIdx.b"),b=Gi("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",C="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+N+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+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          "+w+"\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    "},uo=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=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 += "+i+") {\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) / "+a+".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    "},lo=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=c-1-t.padInfo.front,d=p-1-t.padInfo.top,m=h-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},co=function(t,e,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],Mr(t,e),Mr(t,n);var o="0.0";null!=r&&(Mr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Mr(t,a),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("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},po=function(t,e,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Mr(t,e),Mr(t,n);var o="vec4(0.0)";null!=r&&(Mr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(Mr(t,a),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("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},ho=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Mr(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    "},fo="return a + b;",mo="return a - b;",go="return a * b;",vo="return (a < 0.) ? b * a : a;",yo=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Mr(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    "},bo="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",xo=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Mr(e,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===R(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+ao(a)+" coords = getOutputCoords();\n        ",1===a)i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=Gi("coords",a);i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+i+"\n\n        setOutput(result);\n      }\n    "},wo=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Co=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),No=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    "},So=function(t){this.outputShape=[],this.outputShape=kn(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 a=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+a+"));")}var i=e.length,o=e[e.length-1];r.push("else setOutput(getT"+i+"(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    "},ko=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=kn(t,e);var n=this.outputShape,r=n.length,a=ao(r),i=Gi("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var l=o[e],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        if ("+l+" < "+s[u]+"  && "+l+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+Io(o,l,f)+"),\n            vec2("+Io(c,l,f)+"));\n        }"}var d=s.length,m=s[s.length-1];h+="\n        return getChannel(\n          getT"+d+"("+Io(o,l,m)+"),\n          vec2("+Io(c,l,m)+"));",this.userCode="\n      float getValue("+o.map((function(t){return"int "+t}))+") {\n        "+h+"\n      }\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+i+"), 0., 0., 0.);\n\n        "+i[r-1]+" = "+i[r-1]+" + 1;\n        if ("+i[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+i+");\n        }\n\n        "+i[r-2]+" = "+i[r-2]+" + 1;\n        if ("+i[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+i+");\n        }\n\n        "+i[r-1]+" = "+i[r-1]+" - 1;\n        if ("+i[r-2]+" < "+n[r-2]+" &&\n            "+i[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+i+");\n        }\n        setOutput(result);\n      }\n    "};function Io(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var Eo=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ao=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i="channelsLast"===t.dataFormat,o=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+c+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+l+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+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) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+i+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},To=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.padInfo.front,i=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+" - "+a+";\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+" - "+i+";\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    "},Ro=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=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) / "+a+".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) / "+i+".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    "},Do=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i=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 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\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    "},Oo=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=e-1-t.padInfo.top,o=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+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) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},_o=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,h=4*Math.floor(t.inChannels/4),f=t.inChannels%4,d="channelsLast"===t.dataFormat,m=d?1:2,g=d?2:3,v=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+v+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+c+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+l+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+d+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===f)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+h+") *\n                    getW(wR, wC, "+h+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+h+", xR, xC) *\n                    getW(wR, wC, "+h+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2),\n                getW(wR, wC, "+h+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1),\n                  getX(batch, xR, xC, "+h+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC),\n                  getX(batch, "+h+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},Fo=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,a=t.strideDepth,i=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("+a+", "+i+", "+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    "},Mo=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,f=t.filterWidth,d=t.outChannels/t.inChannels,m="",g="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var v=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+d+";\n        int q = d2 - d1 * "+d+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+h+"; wR++) {\n          int xR = xRCorner + wR * "+c+";\n\n          if (xR < 0 || xR >= "+a+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+p+";\n\n            if (xC < 0 || xC >= "+i+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+v+"\n        "+g+"\n        setOutput(result);\n      }\n    "},zo=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,f=t.filterWidth,d=f,m="int xR; int xC; int xCOffset;",g=0;g<h;g++)for(var v=0;v<f;v++)m+="\n          vec4 xTexelR"+g+"C"+2*v+" = vec4(0.);\n          vec4 wR"+g+"C"+v+" = vec4(0.);\n          vec4 xR"+g+"C"+v+" = vec4(0.);";for(g=0;g<h;g++)for(var y=0;y<d;y++){if(m+="\n          xR = xRCorner + "+g*c+";\n          xC = xCCorner + "+(v=2*y)*p+";\n        ",1===l){if(v<f&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+i+") {\n                    xTexelR"+g+"C"+v+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+i+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+v+" = vec4(previous.zw, xTexelR"+g+"C"+v+".xy);\n                } else {\n                  xR"+g+"C"+v+" = vec4(0, 0, xTexelR"+g+"C"+v+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+a+" && xC >= 0 && xC < "+i+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = xTexelR"+g+"C"+v+";\n              ",v+1<f)){var b=s%2==0?S(p):p;p%2==0&&s%2==1||p%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",p>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+a+" &&\n                      xCOffset >= 0 && xCOffset < "+i+") {\n                      xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+v+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(v+1)+" = xTexelR"+g+"C"+(v+2)+";\n                "}}else v<f&&(m+="\n              if(xR >= 0 && xR < "+a+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+i+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n              ",v+1<f&&(m+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+l+";\n                  if(xCOffset >= 0 && xCOffset < "+i+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+g+"C"+(v+1)+" = vec4(xTexelR"+g+"C"+(v+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+i+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".xy, xTexelR"+g+"C"+(v+2)+".xy);\n              ",v+1<f&&(m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n                ")),m+="}");v<f&&(m+="\n            vec4 wTexelR"+g+"C"+v+" = getW("+g+", "+v+", d1, q);\n            wR"+g+"C"+v+" = vec4(wTexelR"+g+"C"+v+".xz, wTexelR"+g+"C"+v+".xz);\n          ",v+1<f&&(m+="\n              vec4 wTexelR"+g+"C"+(v+1)+" = getW("+g+", "+(v+1)+", d1, q);\n              wR"+g+"C"+(v+1)+" =\n                vec4(wTexelR"+g+"C"+(v+1)+".xz, wTexelR"+g+"C"+(v+1)+".xz);"))}for(g=0;g<h;g++)for(v=0;v<f;v++)m+="dotProd += xR"+g+"C"+v+" * wR"+g+"C"+v+";";var x="",w="";n&&(x=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",w="result = activation(result);");var C=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+m+"\n\n        vec4 result = dotProd;\n        "+C+"\n        "+w+"\n        setOutput(result);\n      }\n    "},Lo=function(t,e,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=t[0],o=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[o-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],x=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],C=x[1],N=x[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+N+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},Bo=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=t[t.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+ao(r)+" coords = getOutputCoords();\n        int end = "+Po(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+Po(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 Po(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 Wo=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=qi();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Hi(["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    "},Vo=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=qi();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Hi(["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    "},Uo=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}(),jo=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},Go=function(t){this.variableNames=["A"],this.outTexUsage=Ut.DOWNLOAD;var e=qi();this.outputShape=t,this.userCode="\n      "+Xi+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},qo=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ut.DOWNLOAD;var e=qi();this.outputShape=t,this.userCode="\n      "+Xi+"\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    "},Ho=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=qi(),a=e[0],i=e[1];this.outputShape=t;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+Ki(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 / "+i+";\n        int c = imod(flatIndex, "+i+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".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    "},Ko=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=qi(),a=e[0],i=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 / "+i+";\n              c = imod(flatIndex, "+i+");\n              uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".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      "+Ki(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    "},Xo=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var a=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,i=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+a+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+i+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},Yo=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}(),Jo=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var a=ao(this.rank),i=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"],a=[],i=0;i<t.length;i++)i===e?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(t,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "},$o=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=ao(e.length),a=ao(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function Zo(t,e){var n=qi();return ne(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function Qo(t,e){return ce(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function ts(t,e){return pe(t,e,new Uint16Array([0,1,2,2,1,3]))}function es(t,e,n,r,a,i,o){fe(n,r);var s=he(t,e),u=t.TEXTURE_2D;return Zt(t,e,(function(){return t.bindTexture(u,s)})),Zt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),Zt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),Zt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),Zt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),Zt(t,e,(function(){return t.texImage2D(u,0,a,n,r,0,i,o,null)})),Zt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function ns(t,e,n,r,a){var i=Xt(n,r);return es(t,e,i[0],i[1],a.internalFormatFloat,a.textureFormatFloat,t.FLOAT)}function rs(t,e,n,r,a){var i=Xt(n,r);return es(t,e,i[0],i[1],a.internalFormatHalfFloat,a.textureFormatFloat,a.textureTypeHalfFloat)}function as(t,e,n,r,a){var i=Xt(n,r);return es(t,e,i[0],i[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function is(t,e,n,r,a){var i=Jt(n,r);return es(t,e,i[0],i[1],a.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function os(t,e,n,r,a){var i=Jt(n,r);return es(t,e,i[0],i[1],a.internalFormatPackedHalfFloat,t.RGBA,a.textureTypeHalfFloat)}function ss(t,e,n,r){return Zt(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),me(t,e,n,"clipSpacePos",r,3,20,0)&&me(t,e,n,"uv",r,2,20,12)}function us(t,e,n,r,a,i,o){var s,u,l;Zt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),i instanceof Uint8Array?(s=new Uint8Array(r*a*4),u=t.UNSIGNED_BYTE,l=t.RGBA):(s=new Float32Array(r*a*4),u=t.FLOAT,l=o.internalFormatPackedFloat),s.set(i),Zt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,l,r,a,0,t.RGBA,u,s)})),Zt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function ls(t,e,n,r){Zt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),r.data instanceof Uint8Array?Zt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)})):Zt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)})),Zt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function cs(t,e,n,r,a){var i=t.createBuffer();Zt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,i)}));var o=16*n*r;return Zt(t,e,(function(){return t.bufferData(t.PIXEL_PACK_BUFFER,o,t.STREAM_READ)})),Zt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)})),Zt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)})),i}function ps(t,e,n){var r=t,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function hs(t,e,n,r,a){var i=Xt(n,r),o=i[0],s=i[1],u=new Uint8Array(n*r*4);return Zt(t,e,(function(){return t.readPixels(0,0,o,s,a.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function fs(t,e,n,r,a,i,o,s){var u=t,l=new Float32Array(function(t,e){var n=Jt(t,e);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function ds(t,e,n,r){var a=new Float32Array(n*r*4);return Zt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,a)})),a}var ms=Object.freeze({createVertexShader:Zo,createVertexBuffer:Qo,createIndexBuffer:ts,createFloat32MatrixTexture:ns,createFloat16MatrixTexture:rs,createUnsignedBytesMatrixTexture:as,createPackedMatrixTexture:is,createFloat16PackedMatrixTexture:os,bindVertexProgramAttributeStreams:ss,uploadDenseMatrixToTexture:us,uploadPixelDataToTexture:ls,createBufferFromOutputTexture:cs,downloadFloat32MatrixFromBuffer:ps,downloadByteEncodedFloatMatrixFromOutputTexture:hs,downloadPackedMatrixFromBuffer:fs,downloadMatrixFromPackedOutputTexture:ds}),gs=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=c().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Ht(e,t)):this.gl=Kt(e);var n="WEBGL_color_buffer_float";if(1===c().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=ee(this.gl,this.debug,"OES_texture_float"),Me(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=ee(this.gl,this.debug,"OES_texture_half_float");else if(c().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Me(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=ee(this.gl,this.debug,"EXT_color_buffer_half_float");else if(c().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Me(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Me(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=Qo(this.gl,this.debug),this.indexBuffer=ts(this.gl,this.debug),this.framebuffer=de(this.gl,this.debug),this.textureConfig=$t(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return c().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;Zt(e,this.debug,(function(){return e.finish()})),Zt(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),Zt(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),Zt(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),Zt(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),Zt(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),ns(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),rs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),as(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),ls(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),us(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),os(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),is(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(we(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Zt(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return hs(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,a,i){return fs(this.gl,t,0,0,0,a,i,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return ps(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=cs(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(c().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=a.clientWaitSync(i,0,0);return t===a.ALREADY_SIGNALED||t===a.CONDITION_SATISFIED},e=i}else c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return ds(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=re(e,this.debug,t),r=Zo(e,this.debug),a=se(e,this.debug);return Zt(e,this.debug,(function(){return e.attachShader(a,r)})),Zt(e,this.debug,(function(){return e.attachShader(a,n)})),ue(e,this.debug,a),this.debug&&le(e,this.debug,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=ss(e,this.debug,this.program,this.vertexBuffer)),a},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Zt(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&le(this.gl,this.debug,this.program),Zt(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?ve(this.gl,this.debug,t,e):ye(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Zt(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),be(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=Jt(e,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(t,a,i)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&le(this.gl,this.debug,this.program),Ce(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Zt(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Zt(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=ee(this.gl,this.debug,2===c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},t.prototype.endQuery=function(){if(2!==c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return o(this,void 0,void 0,(function(){var e=this;return s(this,(function(n){switch(n.label){case 0:return[4,z((function(){return e.disposed||e.isQueryAvailable(t,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}return a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length&&t[e]();++e);return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||z((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),xe(this.gl,this.debug,t,this.framebuffer),this.debug&&Ce(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(xe(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Ce(this.gl)):we(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;xe(r,this.debug,t,this.framebuffer),this.debug&&Ce(r),this.outputTexture=t,Zt(r,this.debug,(function(){return r.viewport(0,0,e,n)})),Zt(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var a=this;this.throwIfDisposed(),Zt(this.gl,this.debug,(function(){return a.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function vs(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,a=e[n],i=a.shape;if(!D(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!t.isUniform||!a.isUniform){var o=t.texShape,s=a.isUniform?null:a.texData.texShape;if(!D(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var ys=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=n.dataFormat,h=s.left,f=s.top,d=a*r,m=qi(),g="channelsLast"===p,v=g?0:1,y=g?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+f+";\n            d0 = offsetY + "+c+" * (pos / "+d+");\n\n            if(d0 < "+e[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+h+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+d+".) / "+a+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+a+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},bs=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "},xs=function(t,e,n,r,a){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=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+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("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\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    "},ws=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\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 * "+i+";\n        setOutput(result);\n      }\n    "},Cs=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,a=t.effectiveFilterHeight,i=t.effectiveFilterWidth,o=a-1-t.padInfo.top,s=i-1-t.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+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 < "+i+"; 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 * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ns=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.dilationDepth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=s-1-t.padInfo.front,p=u-1-t.padInfo.top,h=l-1-t.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ss=function(t,e,n,r,a,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),l=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",d="";i&&(f=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+i+"\n        }":"vec4 activation(vec4 x) {\n          "+i+"\n        }",d="result = activation(result);");var m=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+l+");\n          vec4 b = getMatrixB(rc.x, "+c+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+p[0]+" * "+h[0]+");\n          result += ("+p[1]+" * "+h[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},ks=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}(),Is=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    "},Es=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=Gi("rc",e),r=ao(e),a=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",a=t-2;a<t;a++)r+=n[a]+" >= "+e[a],a<t-1&&(r+="||");return r}(e,t,n),i=function(t,e,n,r){if(1===t)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[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 a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<t;o++)i=e[e.length-1-o]+","+i;n.push(i)}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("+a+") {\n            setOutput(vec4(0));\n          } else {\n            "+i+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}},As=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,a=ao(r),i=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      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\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      "},Ts=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,a=ao(r),i=e.map((function(t){return t[0]})).join(","),o=e.map((function(e,n){return e[0]+t[n]})).join(","),s=Gi("rc",r),u=Gi("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" 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          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},Rs=function(t,e,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var i=t.filterWidth,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var d="avg"===e,m="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",v="0.0";if(d||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+h+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+c+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+l+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?a?m:g:"wR * "+p+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var b=4*Math.floor(i/4),x=i%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+h+", "+f+");\n      const float initializationValue = "+v+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+c+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+l+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              getValue(batch, xR, xC + 3 * "+l+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},Ds=function(t,e,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var i=t.filterWidth,o=t.strideDepth,s=t.strideHeight,u=t.strideWidth,l=t.dilationDepth,c=t.dilationHeight,p=t.dilationWidth,h=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,m=t.padInfo.front,g=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,b="0.0";if(y||(b="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+g+", "+v+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+h+";\n              wD += "+l+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+c+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+p+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var x=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(x="avgValue / count");var w=4*Math.floor(i/4),C=i%4,N="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+g+", "+v+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+h+";\n            wD += "+l+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+c+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+p+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n              );\n\n              "+N+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(2===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(3===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                initializationValue\n              );\n\n              "+N+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},Os=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];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="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},_s=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\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      "+Hi(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Ki(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    "},Fs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],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), "+(a-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), "+(i-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    "},Ms=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,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("+i+".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    "},zs=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,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("+i+".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    "},Ls=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],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("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 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    "},Bs=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,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("+i+".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    "},Ps=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(","),a=ao(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},Ws=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=Gi("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=ao(n);function s(n){var r=t.map((function(r,a){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(a,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("+a+"){\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 = "+function(t){return s(t)}(r.slice())+";\n          if("+a+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+a+") {\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    "},Vs=function(t,e,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=ao(a.length),u=ao(i.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+"("+a+");\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      "},Us=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=t.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "},js=function(t,e,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<e.length;u++)s.push(""+i[u]),u<t&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=ao(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "},Gs=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=ao(this.rank),r="uniform int start["+this.rank+"];",a=function(t){if(1===t)return"sourceLoc";if(t<=6)return qs.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."+qs[e]+" = start["+e+"] + coords."+qs[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+a+"));\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}(),qs=["x","y","z","w","u","v"],Hs=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=ao(this.rank),n=Gi("coords",this.rank),r=Gi("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = "+i+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+i+";\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 = "+i+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+i+";\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}(),Ks=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=ao(n.length),i=ao(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+t+");\n      "+a+" strides = "+a+"("+e+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},Xs=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,a=Ys(e,n),i=Js(t,a,n);if(i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]),this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[i].shift();return this.usedTextures[i].push(o),o}return this.numUsedTextures++,this.log(),a===jt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):a===jt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):a===jt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):a===jt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):a===jt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[i].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var a=Js(e,Ys(n,r),r);a in this.freeTextures||(this.freeTextures[a]=[]),this.freeTextures[a].push(t),this.numFreeTextures++,this.numUsedTextures--;var i=this.usedTextures[a],o=i.indexOf(t);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.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 Ys(t,e){if(t===Ut.UPLOAD)return jt.PACKED_2X2_FLOAT32;if(t===Ut.RENDER||null==t)return function(t){return c().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?jt.PACKED_2X2_FLOAT32:jt.UNPACKED_FLOAT32:t?jt.PACKED_2X2_FLOAT16:jt.UNPACKED_FLOAT16}(e);if(t===Ut.DOWNLOAD||t===Ut.PIXELS)return jt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Js(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var $s=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 a=ao(this.rank),i=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=[],a=0;a<t.length;a++)r.push("imod("+n[a]+", "+t[a]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "},Zs=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    "},Qs="if (isnan(x)) return x;",tu="return abs(x);",eu=Qs+"\n  return (x < 0.0) ? 0.0 : x;\n",nu=Qs+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",ru="return (x >= 0.0) ? x : (exp(x) - 1.0);",au="return -x;",iu="return ceil(x);",ou="return floor(x);",su="return exp(x);",uu="return exp(x) - 1.0;",lu="return x;",cu="\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",pu="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",hu="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",fu=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},du=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=Gi("rc",e),r=ao(e),a=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),i=n.slice(-2),o=e<=1?"rc":"vec2("+i.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+a+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},mu={};function gu(t,e){if(void 0===e&&(e=!1),"linear"===t)return"return x;";if("relu"===t)return e?cu:eu;if("elu"===t)return e?hu:ru;if("relu6"===t)return e?pu:nu;if("prelu"===t)return e?bo:vo;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var vu=function(t){function e(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!c().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var a=Kt(c().getNumber("WEBGL_VERSION"));r.binaryCache=((n=c().getNumber("WEBGL_VERSION"))in mu||(mu[n]={}),mu[n]),r.gpgpu=new gs(a),r.canvas=a.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new Xs(r.gpgpu),r.numMBBeforeWarning=null==c().global.screen?1024:c().global.screen.height*c().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new ii(r,Bt),r}return i(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.write=function(t,e,n){if(c().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Ut.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(c().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Ut.UPLOAD})},e.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,a=e.complexTensors,i=e.slice,o=e.shape,s=e.isPacked;if(null!=i){var u;u=s?new fu(o,lu):new Zs(o,lu);var l=this.runWebGLProgram(u,[{dataId:t,shape:o,dtype:r}],r),c=this.readSync(l.dataId);return this.disposeData(l.dataId),c}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var p,h,f=null!=this.activeTimers;return f&&(p=it()),h="complex64"===r?Si(a.real.dataSync(),a.imag.dataSync()):this.getValuesFromTexture(t),f&&(this.downloadWaitMs+=it()-p),this.convertAndCacheOnCPU(t,h)},e.prototype.read=function(t){return o(this,void 0,void 0,(function(){var e,n,r,a,i,o,u,l,p,h,f,d,m,g,v,y,b,x,w,C,N,S;return s(this,(function(s){switch(s.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),r=n.values,a=n.shape,i=n.slice,o=n.dtype,u=n.complexTensors,l=n.isPacked,null!=i)return p=l?new fu(a,lu):new Zs(a,lu),h=this.runWebGLProgram(p,[{dataId:t,shape:a,dtype:o}],o),f=this.read(h.dataId),this.disposeData(h.dataId),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!c().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===c().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"!==o&&c().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(t),g=this.texData.get(m.dataId),d=(S=this.gpgpu).createBufferFromTexture.apply(S,[g.texture].concat(Yt(a)))),this.pendingRead.set(t,[]),"complex64"===o?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:s.sent(),s.label=2;case 2:return"complex64"!==o?[3,4]:[4,Promise.all([u.real.data(),u.imag.data()])];case 3:return y=s.sent(),b=y[0],x=y[1],v=Si(b,x),[3,5];case 4:null==d?v=this.getValuesFromTexture(t):(w=R(a),v=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w)),s.label=5;case 5:return null!=m&&this.disposeData(m.dataId),C=this.convertAndCacheOnCPU(t,v),N=this.pendingRead.get(t),this.pendingRead.delete(t),N.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!Qt(n)){if(c().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,a=n.dtype,i=n.isPacked,o=R(r);if(c().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(t),u=this.texData.get(s.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[u.texture].concat(Yt(r))).subarray(0,o);return this.disposeData(s.dataId),l}var p=c().getBool("WEBGL_PACK")&&!0===i,h=p?Ae(r):r,f=p?new qo(h):new Go(h),d=this.runWebGLProgram(f,[{shape:h,dtype:a,dataId:t}],"float32"),m=this.texData.get(d.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(m.texture,m.texShape[0],m.texShape[1]).subarray(0,o);return this.disposeData(d.dataId),g},e.prototype.time=function(t){return o(this,void 0,void 0,(function(){var e,n,r,a,i,o,u;return s(this,(function(s){switch(s.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=T(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),i=T(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,r&&(this.programTimersStack=null),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return u=s.sent(),o.kernelMs=k(u),o.getExtraProfileInfo=function(){return u.map((function(t,e){return{name:i[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:o.kernelMs={error:"WebGL query timers are not supported in this environment."},s.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}}))}))},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:it(),endMs:null}},e.prototype.endTimer=function(t){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=it(),t)},e.prototype.getQueryTime=function(t){return o(this,void 0,void 0,(function(){var e;return s(this,(function(n){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},e.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,a=e.texShape,i=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(a,r),this.textureManager.releaseTexture(n,a,i,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.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return c().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Bt.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&&R(t.shape)<e}))},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Bt.keep(t.clone()),imag:Bt.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===R(n))return Rn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,a=Ha(t.shape,e,n);if(r||!a){var i=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Hs(n):new Gs(n),o=i.getCustomSetupFunc(e);return this.compileAndRun(i,[t],null,o)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),a=this.makeOutput(n,t.dtype),i=this.texData.get(a.dataId);Object.assign(i,r),i.shape=n,i.dtype=t.dtype;var o=Ka(e,t.strides);r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(i.slice.origDataId)||1;return this.dataRefCount.set(i.slice.origDataId,s+1),a},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var a=ja(e,n,r);if(a.some((function(t){return 0===t})))return Rn([],a);var i=new Ks(e,r,a);return this.compileAndRun(i,[t])},e.prototype.reverse=function(t,e){var n=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ws(t.shape,e):new Ps(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return An(t)})),r=t.map((function(t){return Tn(t)}));return En(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>c().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var a=Math.floor(t.length/2),i=this.concat(t.slice(0,a),e),o=this.concat(t.slice(a),e);return this.concat([i,o],e)}if(c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var s=new ko(t.map((function(t){return t.shape})),e);return this.compileAndRun(s,t)}var u=kn(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,R(t.shape.slice(e)))})),p=new So(l.map((function(t){return t.shape})));return this.compileAndRun(p,l).reshape(u)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,au,t.dtype);var e=new Zs(t.shape,au);return this.compileAndRun(e,[t])},e.prototype.batchMatMul=function(t,e,n,r){var a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],o=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===a||1===i)&&o>1e3){n&&(t=ai(t,[0,2,1])),r&&(e=ai(e,[0,2,1]));var u=1===i?t:t.as3D(s,o,1),l=1===i?2:1,c=1===i?e.as3D(s,1,o):e;return this.multiply(u,c).sum(l,!0)}var p=Tt(t.dtype,e.dtype),h=new Ss(t.shape,[s,a,i],n,r);return this.compileAndRun(h,[t,e],p)},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,a=t.transposeB,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],l=a?n.shape[1]:n.shape[2],c=e.shape[0],p=Tt(e.dtype,n.dtype),h=null!=i,f=null!=s,d=o?gu(o,!0):null,m=new Ss(e.shape,[c,u,l],r,a,h,d,f),g=[e,n];return i&&g.push(i),s&&g.push(s),this.compileAndRun(m,g,p)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),a=new ho("return areal * breal - aimag * bimag;",t.shape,e.shape),i=new ho("return areal * bimag + aimag * breal;",t.shape,e.shape),o=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,go,t.dtype);var p=new yo(go,t.shape,e.shape);return this.compileAndRun(p,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,a,i){var o=[t,e,n],s=null;null!=i&&(s=i.shape,o.push(i));var u=null;if(null!=a&&(u=a.shape,o.push(a)),c().getBool("WEBGL_PACK_NORMALIZATION")){var l=new po(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,o)}var p=new co(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(p,o)},e.prototype.localResponseNormalization4D=function(t,e,n,r,a){var i=c().getBool("WEBGL_PACK_NORMALIZATION")?new ws(t.shape,e,n,r,a):new bs(t.shape,e,n,r,a);return this.compileAndRun(i,[t])},e.prototype.LRNGrad=function(t,e,n,r,a,i,o){var s=new xs(e.shape,r,a,i,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 ut(t)}));return Li(Qn(t.shape,t.dtype,n),e)}var r=new $s(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ts(t.shape,e,n):new As(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new Jo(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){I(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})),a=hr(t.shape,e,r),i=fr(a.length,e.length),o=dr(t.shape,e,r),s=mr(n,e.length),u=gr(o,n,e.length);return ai(t.reshape(a),i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){I(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})),a=[[0,0]];a.push.apply(a,n);for(var i=1+e.length;i<t.shape.length;++i)a.push([0,0]);var o=t.pad(a),s=hr(o.shape,e,r,!1),u=fr(s.length,e.length,!1),l=dr(o.shape,e,r,!1);return ai(o.reshape(s),u).reshape(l)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],a=t.shape[1],i=za(a),o=new Os({windowSize:i,inSize:a,batchSize:r},e),s=this.compileAndRun(o,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},e.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],a=t.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=za(a),o=new Ui({windowSize:i,inSize:a,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(o,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,a=za(r[r.length-1]),i=new so(r,a,e,null==n),o=null==n?[t]:[t,n],s=this.compileAndRun(i,o,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},e.prototype.sum=function(t,e){xn("sum",e,t.rank);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a),o=Rt(t.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a),o=Rt(t.dtype);return this.reduce(i,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,a=wn([r],t.rank),i=t;null!=a&&(i=ai(t,a),r=Nn(1,t.rank)[0]);var o=function(t,e,n){for(var r=[],a=t.length,i=0;i<a;i++)i!==e?r.push(t[i]):r.push(n);return r}(i.shape,r,n),s=R([i.shape[r]]),u=i.as2D(-1,s),l=Rt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(o);return null!=a&&(c=ai(c,Cn(a))),c},e.prototype.segOpCompute=function(t,e,n,r,a){var i=t.shape[0],o=t.shape[1],s=function(t,e){var n,r=!1;for(t<=30?(n=t,r=!0):n=Q(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=Q(t,n+1);return n}(o,a),u=new Us({windowSize:s,inSize:o,batchSize:i,numSegments:a},e),l=this.compileAndRun(u,[t,n],r);return l.shape[1]===a?l:(n=Gn(0,a).tile([o/s]),this.segOpCompute(l,e,n,r,a))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(xn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!c().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var a=yn(t.shape,r),i=a[0],o=R(a[1]),s=t.as2D(-1,o);return this.argReduce(s,n).reshape(i)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var a=new Bo(t.shape,n,r);return this.compileAndRun(a,[t])},e.prototype.equal=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new yo("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new yo("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new yo("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new yo("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new yo("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new yo("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new Zs(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new yo("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new yo("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new js(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Tt(e.dtype,n.dtype))},e.prototype.where=function(t){pn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Pi(t.shape,e)},e.prototype.topk=function(t,e,n){return Bi(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){xn("min",e,t.rank);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new yo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.mod=function(t,e){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new yo("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);xn("max",e,t.rank);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new yo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.all=function(t,e){xn("all",e,t.rank);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(t,e){xn("any",e,t.rank);var n=yn(t.shape,e),r=n[0],a=R(n[1]),i=t.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.floorDiv=function(t,e){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new yo("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,fo);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Tt(t.dtype,e.dtype);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,fo,n);var r=new yo(fo,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new fu(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,a){void 0===a&&(a=!1);var i=new xo(n,t.shape,e.shape,a);return this.compileAndRun(i,[t,e],r)},e.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,a=this.texData.get(t.dataId),i=this.texData.get(e.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map((function(a){var i=a[0],o=a[1],s=r.makeComplexComponentTensorInfo(t,i),u=r.makeComplexComponentTensorInfo(e,o),l=new yo(n,t.shape,e.shape);return r.compileAndRun(l,[s,u],Tt(i.dtype,o.dtype))})),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>c().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var a=t.map((function(t){return t.dtype})).reduce((function(t,e){return Tt(t,e)})),i=t.map((function(t){return t.shape})),o=c().getBool("WEBGL_PACK")?new Vi(t[0].shape,i):new Wi(t[0].shape,i);return this.compileAndRun(o,t,a)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,mo);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Tt(t.dtype,e.dtype);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,mo,t.dtype);var r=new yo(mo,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new yo("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=Tt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,iu,t.dtype);var e=new Zs(t.shape,iu);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ou,t.dtype);var e=new Zs(t.shape,ou);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new Zs(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 Zs(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new Zs(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new Zs(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new Zs(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,su,t.dtype);var e=new Zs(t.shape,su);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,uu,t.dtype);var e=new Zs(t.shape,uu);return this.compileAndRun(e,[t])},e.prototype.softmax=function(t,e){var n=B([e],t.shape),r=this.max(t,n),a=bn(r.shape,n),i=this.subtract(t,r.reshape(a)),o=this.exp(i),s=this.sum(o,n).reshape(a);return _a(o,s)},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new Zs(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new Zs(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new Zs(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 Zs(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new Zs(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=c().getBool("WEBGL_PACK")?new fu(t.shape,cu):new Zs(t.shape,eu),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=c().getBool("WEBGL_PACK")?new fu(t.shape,pu):new Zs(t.shape,nu),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo(bo,t.shape,e.shape):new yo(vo,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,hu,t.dtype);var e=new Zs(t.shape,ru);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new yo("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new Zs(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 Zs(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,a=(r=c().getBool("WEBGL_PACK_CLIP")?new Co(t.shape):new wo(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,a)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,tu,t.dtype);var e=new Zs(t.shape,tu);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new No(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new Zs(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new Zs(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 Zs(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 Zs(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 Zs(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new Zs(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new Zs(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new Zs(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new xo("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? 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NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new yo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.sinh=function(t){var e=new Zs(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 Zs(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 Zs(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 Zs(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new Zs(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 Zs(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 Zs(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},e.prototype.step=function(t,e){var n=new Zs(t.shape,function(t){return void 0===t&&(t=0),Qs+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,a,i){var o=t.shape,s=this.texData.get(t.dataId),u=n.inChannels,l=o[0]*o[1]*o[2],p=n.outChannels,h="channelsLast"===n.dataFormat,f=(1===l||1===p)&&u>1e3,d=o[2]%2!=0&&!!s.isPacked;if(f||!c().getBool("WEBGL_LAZILY_UNPACK")||!c().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!d){var m=h?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],g=this.reshape(t,[1,m,n.inChannels]),v=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:v,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),n.outShape)}var y=h?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),b={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},x=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,I(De(s.shape,b.shape),(function(){return"packed reshape "+s.shape+" to "+b.shape+" isn't free"}));var w=this.reshape(e,[1,n.inChannels,n.outChannels]),C=this.fusedBatchMatMul({a:b,b:w,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),N=this.texData.get(C.dataId);return I(N.isPacked,(function(){return"batchMatMul result is expected to be packed"})),s.shape=x,N.shape=n.outShape,Bt.makeTensorFromDataId(C.dataId,n.outShape,C.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,a,i){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,l=n.outWidth,c=n.outHeight,p="channelsLast"===n.dataFormat,h=o*s*u,f=c*l,d=[h,f],m=t.squeeze([0]),g=e.reshape([1,h,-1]),v=new ys(d,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=i,w=a?gu(a,!0):null,C=new Ss(y.shape,[1,f,n.outChannels],!0,!1,b,w,x),N=[y,g];r&&N.push(r),x&&N.push(i);var S=this.compileAndRun(C,N);return p?S.reshape([1,c,l,n.outChannels]):S.reshape([1,n.outChannels,c,l])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,a,i,o);if(c().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,a,i,o);var s=null!=a,u=null!=o,l=i?gu(i,!1):null,p=new _o(r,s,l,u),h=[e,n];return a&&h.push(a),o&&h.push(o),this.compileAndRun(p,h)},e.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(c().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new _o(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new Ao(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new Eo(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,a=t.convInfo,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=c().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels==1,l=o?gu(o,u):null,p=[n,r],h=null!=i,f=null!=s;return h&&p.push(i),f&&p.push(s),u?(e=new zo(a,h,l,f),this.compileAndRun(e,p)):(e=new Mo(a,h,l,f),this.compileAndRun(e,p))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return c().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new zo(n),this.compileAndRun(r,[t,e])):(r=new Mo(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Oo(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Do(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new Fo(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new Ro(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new To(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new Rs(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new Rs(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var a=new Rs(r,"max",!0),i=this.compileAndRun(a,[e]),o=new Cs(r),s=this.compileAndRun(o,[t,i],e.dtype);return i.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new uo(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return xi(t,e,this)},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),a=0,i=0;i<t.rank;i++)i!==e&&(r[a++]=t.shape[i]);var o=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(i=0;i<u.length;i++)o[e]=i,u[i]=this.slice(t,o,s).reshape(r);return u},e.prototype.avgPool3d=function(t,e){var n=new Ds(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new lo(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new Ds(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var a=new Ds(r,"max",!0),i=this.compileAndRun(a,[e]),o=new Ns(r),s=this.compileAndRun(o,[t,i],e.dtype);return i.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!De(t.shape,e)&&(null===n.texture||!De(n.shape,e))){var r=this.packedReshape(t,e);return Bt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return wi(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var a=c().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new zs(t.shape,e,n,r):new Ms(t.shape,e,n,r);return this.compileAndRun(a,[t],"float32")},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Fs(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var a=new Bs(t.shape,e,n,r);return this.compileAndRun(a,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Ls(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var a=e?t:ni(t),i=a.shape[0],o=a.shape[1],s=new ks(i,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var a=new Is(t.size,e,n,r);return this.compileAndRun(a,[t])},e.prototype.diag=function(t){var e=new jo(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,a){return pn("tf.nonMaxSuppression() in webgl locks the UI thread. 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only NHWC is supported");I(4===c.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."})),I(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),I(4===l.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),I(1===l.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."})),I(1===l.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+l.shape[1]+"."}));var h=u.shape[2],f=u.shape[3];I(l.shape[2]===h*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*f+", but got "+l.shape[2]+"."}));var d=Hl(c,u,r,a,o,i),m=Ul(d,l,1,"valid",o);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Jl=In({conv2dTranspose_:function(t,e,n,r,a,i){return Bl(n,dn(t,"x","conv2dTranspose"),dn(e,"filter","conv2dTranspose"),r,a,"NHWC",i)}}),$l=In({conv3dTranspose_:function(t,e,n,r,a){return Wl(n,dn(t,"x","conv3dTranspose"),dn(e,"filter","conv3dTranspose"),r,a)}}),Zl=In({matMul_:function(t,e,n,r){var a;void 0===n&&(n=!1),void 0===r&&(r=!1);var i=dn(t,"a","matMul"),o=dn(e,"b","matMul");a=Dt(i,o),i=a[0],o=a[1];var s=n?i.shape[i.rank-2]:i.shape[i.rank-1],u=r?o.shape[o.rank-1]:o.shape[o.rank-2],l=n?i.shape[i.rank-1]:i.shape[i.rank-2],c=r?o.shape[o.rank-2]:o.shape[o.rank-1],p=i.shape.slice(0,-2),h=o.shape.slice(0,-2),f=R(p),d=R(h);I(i.rank>=2&&o.rank>=2&&i.rank===o.rank,(function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+i.rank+" and "+o.rank+"."})),I(D(p,h),(function(){return"Error in matMul: outer dimensions ("+p+") and ("+h+") of Tensors with shapes "+i.shape+" and "+o.shape+" must match."})),I(s===u,(function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+i.shape+" and "+o.shape+" and transposeA="+n+" and transposeB="+r+" must match."}));var m=i.shape.slice(0,-2).concat([l,c]),g=n?i.as3D(f,s,l):i.as3D(f,l,s),v=r?o.as3D(d,c,u):o.as3D(d,u,c),y={transposeA:n,transposeB:r};return Bt.runKernelFunc((function(t,e){var a=t.batchMatMul(g,v,n,r);return e([g,v]),a}),{a:g,b:v},(function(t,e){var a=e,i=a[0],o=a[1];return n||r?!n&&r?{a:function(){return t.matMul(o,!1,!1)},b:function(){return t.matMul(i,!0,!1)}}:n&&!r?{a:function(){return o.matMul(t,!1,!0)},b:function(){return i.matMul(t,!1,!1)}}:{a:function(){return o.matMul(t,!0,!0)},b:function(){return t.matMul(i,!0,!0)}}:{a:function(){return t.matMul(o,!1,!0)},b:function(){return i.matMul(t,!0,!1)}}}),"BatchMatMul",y).reshape(m)}}),Ql=In({dot_:function(t,e){var n=dn(t,"t1","dot"),r=dn(e,"t2","dot");I(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return I(a===i,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."})),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),tc=In({outerProduct_:function(t,e){var n=dn(t,"v1","outerProduct"),r=dn(e,"v2","outerProduct");return I(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."})),n.as2D(-1,1).matMul(r.as2D(1,-1))}}),ec=In({reverse_:function(t,e){var n=dn(t,"x","reverse");if(0===n.rank)return n.clone();var r=B(e,n.shape);return Bt.runKernelFunc((function(t){return t.reverse(n,r)}),{$x:n},(function(t){return{$x:function(){return t.reverse(r)}}})).reshapeAs(n)}}),nc=In({reverse1d_:function(t){var e=dn(t,"x","reverse");return I(1===e.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."})),ec(e,0)}}),rc=In({reverse2d_:function(t,e){var n=dn(t,"x","reverse");return I(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),ec(n,e)}}),ac=In({reverse3d_:function(t,e){var n=dn(t,"x","reverse");return I(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),ec(n,e)}}),ic=In({reverse4d_:function(t,e){var n=dn(t,"x","reverse");return I(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),ec(n,e)}});function oc(t,e,n,r,a,i){var o=dn(t,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),null==r&&(r=[1,1]),I(4===s.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."})),I(yi(n,r),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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lp(c,s,a)}}),dp=In({meanSquaredError_:function(t,e,n,r){void 0===r&&(r=ep.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"labels","meanSquaredError"),i=dn(e,"predictions","meanSquaredError"),o=null;null!=n&&(o=dn(n,"weights","meanSquaredError")),E(a.shape,i.shape,"Error in meanSquaredError: ");var s=a.squaredDifference(i);return lp(s,o,r)}}),mp=In({sigmoidCrossEntropy_:function(t,e,n,r,a){void 0===r&&(r=0),void 0===a&&(a=ep.SUM_BY_NONZERO_WEIGHTS);var i=dn(t,"multiClassLabels","sigmoidCrossEntropy"),o=dn(e,"logits","sigmoidCrossEntropy"),s=null;if(null!=n&&(s=dn(n,"weights","sigmoidCrossEntropy")),E(i.shape,o.shape,"Error in sigmoidCrossEntropy: "),r>0){var u=On(r),l=On(1),c=On(.5);i=i.mul(l.sub(u)).add(c.mul(u))}var p=function(t,e){var n=dn(t,"labels","sigmoidCrossEntropyWithLogits"),r=dn(e,"logits","sigmoidCrossEntropyWithLogits");E(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=r.relu(),i=r.mul(n),o=r.abs().neg().exp().log1p();return a.sub(i).add(o)}(i,o);return lp(p,s,a)}}),gp=In({softmaxCrossEntropy_:function(t,e,n,r,a){void 0===r&&(r=0),void 0===a&&(a=ep.SUM_BY_NONZERO_WEIGHTS);var i=dn(t,"onehotLabels","softmaxCrossEntropy"),o=dn(e,"logits","softmaxCrossEntropy"),s=null;if(null!=n&&(s=dn(n,"weights","softmaxCrossEntropy")),E(i.shape,o.shape,"Error in softmaxCrossEntropy: "),r>0){var u=On(r),l=On(1),c=On(i.shape[1]);i=i.mul(l.sub(u)).add(u.div(c))}var p=function(t,e,n){if(void 0===n&&(n=-1),-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+e.rank+" and dim was "+n);return ti((function(t,e,r){var a=e.logSumExp([n],!0),i=e.toFloat().sub(a);return r([t,i]),{value:i.mul(t).neg().sum([n]),gradFunc:function(t,e){var r=e[0],a=e[1],i=bn(t.shape,[n]);return[t.reshape(i).mul(r.toFloat().sub(a.exp())),t.reshape(i).mul(a.exp().sub(r.toFloat()))]}}}))(t,e)}(i,o);return lp(p,s,a)}}),vp=Object.freeze({get Reduction(){return ep},absoluteDifference:up,computeWeightedLoss:lp,cosineDistance:cp,hingeLoss:pp,huberLoss:hp,logLoss:fp,meanSquaredError:dp,sigmoidCrossEntropy:mp,softmaxCrossEntropy:gp});function yp(t,e){return void 0===e&&(e=!1),Bt.tidy((function(){if(2!==t.shape.length)throw new Error("qr2d() requires a 2D Tensor, but got a "+t.shape.length+"D Tensor.");for(var n=t.shape[0],r=t.shape[1],a=Qu(n),i=t.clone(),o=Fn([[1]],[1,1]),s=o.clone(),u=n>=r?r:n,l=function(t){var e,u=i,l=s,c=a;e=Bt.tidy((function(){var e=i.slice([t,t],[n-t,1]),u=e.norm(),l=i.slice([t,t],[1,1]),c=Fn([[-1]]).where(l.greater(0),Fn([[1]])),p=l.sub(c.mul(u)),h=e.div(p);s=1===h.shape[0]?o.clone():o.concat(h.slice([1,0],[h.shape[0]-1,h.shape[1]]),0);var f=c.matMul(p).div(u).neg(),d=i.slice([t,0],[n-t,r]),m=f.mul(s),g=s.transpose();if(0===t)i=d.sub(m.matMul(g.matMul(d)));else{var v=d.sub(m.matMul(g.matMul(d)));i=i.slice([0,0],[t,r]).concat(v,0)}var y=m.transpose(),b=a.slice([0,t],[n,a.shape[1]-t]);if(0===t)a=b.sub(b.matMul(s).matMul(y));else{var x=b.sub(b.matMul(s).matMul(y));a=a.slice([0,0],[n,t]).concat(x,1)}return[s,i,a]})),s=e[0],i=e[1],a=e[2],Ze([u,l,c])},c=0;c<u;++c)l(c);return!e&&n>r&&(a=a.slice([0,0],[n,r]),i=i.slice([0,0],[r,r])),[a,i]}))}var bp=In({bandPart_:function(t,e,n){if(e%1!=0)throw new Error("bandPart(): numLower must be an integer, got "+e+".");if(n%1!=0)throw new Error("bandPart(): numUpper must be an integer, got "+n+".");var r=dn(t,"a","bandPart");if(r.rank<2)throw new Error("bandPart(): Rank must be at least 2, got "+r.rank+".");var a=r.shape,i=r.shape.slice(-2),o=i[0],s=i[1];if(!(e<=o))throw new Error("bandPart(): numLower ("+e+") must not be greater than the number of rows ("+o+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");e<0&&(e=o),n<0&&(n=s);var u=Gn(0,o,1,"int32").reshape([-1,1]),l=Gn(0,s,1,"int32"),c=Da(u,l),p=qu(c.lessEqual(On(+e,"int32")),c.greaterEqual(On(-n,"int32"))),h=Vn([o,s],r.dtype);return lr(cr(r.reshape([-1,o,s])).map((function(t){return Yu(p,t,h)}))).reshape(a)}}),xp=In({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,I(null!=t&&t.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=t[0].shape[0],r=function(e){I(t[e].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"}))},a=1;a<t.length;++a)r(a)}else e=!0,t=Zn(t,t.shape[0],0).map((function(t){return ur(t,[0])}));I(t.length<=t[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."}));var i=[],o=t,s=function(t){i.push(Bt.tidy((function(){var e=o[t];if(t>0)for(var n=0;n<t;++n){var r=Tc(i[n].mulStrict(e)).mul(i[n]);e=e.sub(r)}return e.div(Bc(e,"euclidean"))})))};for(a=0;a<t.length;++a)s(a);return e?lr(i,0):i}}),wp=In({qr_:function(t,e){if(void 0===e&&(e=!1),t.rank<2)throw new Error("qr() requires input tensor to have a rank >= 2, but got rank "+t.rank);if(2===t.rank)return yp(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce((function(t,e){return t*e})),r=cr(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0),a=[],i=[];return r.forEach((function(t){var n=yp(t,e),r=n[0],o=n[1];a.push(r),i.push(o)})),[lr(a,0).reshape(t.shape),lr(i,0).reshape(t.shape)]}}),Cp=Object.freeze({bandPart:bp,gramSchmidt:xp,qr:wp});function Np(t,e,n,r,a,i){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==i&&(i=0);var o=t.shape[0];return n=Math.min(n,o),I(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"})),I(2===t.rank,(function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"})),I(4===t.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]})),I(1===e.rank,(function(){return"scores must be a 1D tensor"})),I(e.shape[0]===o,(function(){return"scores has incompatible shape with boxes. Expected "+o+", but was "+e.shape[0]})),I(0<=i&&i<=1,(function(){return"softNmsSigma must be in [0, 1], but was '"+i+"'"})),{maxOutputSize:n,iouThreshold:r,scoreThreshold:a,softNmsSigma:i}}var Sp=In({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=dn(t,"images","resizeBilinear");I(3===r.rank||4===r.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."})),I(2===e.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."}));var a=r,i=!1;3===r.rank&&(i=!0,a=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([a]),t.resizeBilinear(a,o,s,n)}),{x:a},(function(t,e){return{x:function(){return Bt.runKernelFunc((function(r){return r.resizeBilinearBackprop(t,e[0],n)}),{})}}}),"ResizeBilinear",{alignCorners:n,newHeight:o,newWidth:s});return i?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),kp=In({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=dn(t,"images","resizeNearestNeighbor");I(3===r.rank||4===r.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."})),I(2===e.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."})),I("float32"===r.dtype||"int32"===r.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"}));var a=r,i=!1;3===r.rank&&(i=!0,a=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([a]),t.resizeNearestNeighbor(a,o,s,n)}),{batchImages:a},(function(t,e){return{batchImages:function(){return Bt.runKernelFunc((function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)}),{})}}}));return i?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Ip=In({nonMaxSuppression_:function(t,e,n,r,a){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY);var i=dn(t,"boxes","nonMaxSuppression"),o=dn(e,"scores","nonMaxSuppression"),s=Np(i,o,n,r,a);n=s.maxOutputSize,r=s.iouThreshold,a=s.scoreThreshold;var u={maxOutputSize:n,iouThreshold:r,scoreThreshold:a};return Bt.runKernelFunc((function(t){return t.nonMaxSuppression(i,o,n,r,a)}),{boxes:i,scores:o},null,"NonMaxSuppressionV3",u)}}),Ep=In({nonMaxSuppressionWithScore_:function(t,e,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=0);var o=dn(t,"boxes","nonMaxSuppression"),s=dn(e,"scores","nonMaxSuppression"),u=Np(o,s,n,r,a,i),l={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},c=Bt.runKernel("NonMaxSuppressionV5",{boxes:o,scores:s},l);return{selectedIndices:c[0],selectedScores:c[1]}}}),Ap=In({cropAndResize_:function(t,e,n,r,a,i){var o=dn(t,"image","cropAndResize"),s=dn(e,"boxes","cropAndResize","float32"),u=dn(n,"boxInd","cropAndResize","int32");a=a||"bilinear",i=i||0;var l=s.shape[0];return I(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."})),I(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."})),I(1===u.rank&&u.shape[0]===l,(function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."})),I(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),I(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),I("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was "+a})),Bt.runKernelFunc((function(t,e){return t.cropAndResize(o,s,u,r,a,i)}),{images:o,boxes:s,boxInd:u},null,"CropAndResize",{method:a,extrapolationValue:i,cropSize:r})}}),Tp=Object.freeze({resizeBilinear:Sp,resizeNearestNeighbor:kp,nonMaxSuppression:Ip,nonMaxSuppressionAsync:function(t,e,n,r,a){return void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),o(this,void 0,void 0,(function(){var i,o,u,l,c,p,h;return s(this,(function(s){switch(s.label){case 0:return i=dn(t,"boxes","nonMaxSuppressionAsync"),o=dn(e,"scores","nonMaxSuppressionAsync"),u=Np(i,o,n,r,a),n=u.maxOutputSize,r=u.iouThreshold,a=u.scoreThreshold,[4,Promise.all([i.data(),o.data()])];case 1:return l=s.sent(),c=l[0],p=l[1],h=Ri(c,p,n,r,a),i!==t&&i.dispose(),o!==e&&o.dispose(),[2,h]}}))}))},nonMaxSuppressionWithScore:Ep,nonMaxSuppressionWithScoreAsync:function(t,e,n,r,a,i){return void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=0),o(this,void 0,void 0,(function(){var o,u,l,c,p,h,f;return s(this,(function(s){switch(s.label){case 0:return o=dn(t,"boxes","nonMaxSuppressionAsync"),u=dn(e,"scores","nonMaxSuppressionAsync"),l=Np(o,u,n,r,a,i),n=l.maxOutputSize,r=l.iouThreshold,a=l.scoreThreshold,i=l.softNmsSigma,[4,Promise.all([o.data(),u.data()])];case 1:return c=s.sent(),p=c[0],h=c[1],f=Di(p,h,n,r,a,i),o!==t&&o.dispose(),u!==e&&u.dispose(),[2,f]}}))}))},cropAndResize:Ap}),Rp=function(t,e){return!(t>0)||"linear"===e},Dp=function(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return t.mul(e.step());throw new Error("Gradient for activation "+n+" has not been implemented yet.")},Op=function(t,e){var n=e,r=Fr(t.shape,e.shape);return r.length>0&&(n=n.sum(r)),n.reshape(t.shape)},_p=function(t,e,n){if("linear"===e)return t;if("relu"===e)return Fc(t);if("elu"===e)return Dc(t);if("relu6"===e)return Mc(t);if("prelu"===e)return _c(t,n);throw new Error("Unknown fused activation "+e+".")},Fp=In({fusedMatMul_:function(t){var e,n=t.a,r=t.b,a=t.transposeA,i=void 0!==a&&a,o=t.transposeB,s=void 0!==o&&o,u=t.bias,l=t.activation,c=void 0===l?"linear":l,p=t.preluActivationWeights;if(!1===Rp(Bt.state.gradientDepth,c)){var h=Zl(n,r,i,s);return null!=u&&(h=Or(h,u)),_p(h,c,p)}var f=dn(n,"a","fused matMul"),d=dn(r,"b","fused matMul");e=Dt(f,d),f=e[0],d=e[1];var m=i?f.shape[f.rank-2]:f.shape[f.rank-1],g=s?d.shape[d.rank-1]:d.shape[d.rank-2],v=i?f.shape[f.rank-1]:f.shape[f.rank-2],y=s?d.shape[d.rank-2]:d.shape[d.rank-1],b=f.shape.slice(0,-2),x=d.shape.slice(0,-2),w=R(b),C=R(x);I(f.rank>=2&&d.rank>=2&&f.rank===d.rank,(function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+f.rank+" and "+d.rank+"."})),I(D(b,x),(function(){return"Error in fused matMul: outer dimensions ("+b+") and ("+x+") of Tensors with shapes "+f.shape+" and "+d.shape+" must match."})),I(m===g,(function(){return"Error in fused matMul: inner shapes ("+m+") and ("+g+") of Tensors with shapes "+f.shape+" and "+d.shape+" and transposeA="+i+" and transposeB="+s+" must match."}));var N,S,k=f.shape.slice(0,-2).concat([v,y]),E=i?f.as3D(w,m,v):f.as3D(w,v,m),A=s?d.as3D(C,y,g):d.as3D(C,g,y);null!=u&&Mr(k,(N=Dt(N=dn(u,"bias","fused matMul"),f)[0]).shape),null!=p&&(S=dn(p,"prelu weights","fused matMul"));var T={a:E,b:A};null!=u&&(T.bias=N),null!=p&&(T.preluActivationWeights=S);var O=[E,A];return Bt.runKernelFunc((function(t,e){var n=t.fusedBatchMatMul({a:E,b:A,transposeA:i,transposeB:s,bias:N,activation:c,preluActivationWeights:S});return e([E,A,n]),n}),T,(function(t,e){var n=e[0],r=e[1],a=e[2],o=Dp(t,a,c),l={};return null!=u&&(l={bias:function(){return Op(N,o)}}),i||s?!i&&s?Object.assign({a:function(){return o.matMul(r,!1,!1)},b:function(){return o.matMul(n,!0,!1)}},l):i&&!s?Object.assign({a:function(){return r.matMul(o,!1,!0)},b:function(){return n.matMul(o,!1,!1)}},l):Object.assign({a:function(){return r.matMul(o,!0,!0)},b:function(){return o.matMul(n,!0,!0)}},l):Object.assign({a:function(){return o.matMul(r,!1,!0)},b:function(){return n.matMul(o,!0,!1)}},l)}),"_FusedMatMul",{transposeA:i,transposeB:s,activation:c},O,[!0]).reshape(k)}}),Mp=In({fusedConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,a=t.pad,i=t.dataFormat,o=void 0===i?"NHWC":i,s=t.dilations,u=void 0===s?[1,1]:s,l=t.dimRoundingMode,c=t.bias,p=t.activation,h=void 0===p?"linear":p,f=t.preluActivationWeights;if(h=h||"linear",!1===Rp(Bt.state.gradientDepth,h)){var d=Ul(e,n,r,a,o,u,l);return null!=c&&(d=Or(d,c)),_p(d,h,f)}var m=dn(e,"x","conv2d"),g=dn(n,"filter","conv2d"),v=m,y=!1;3===m.rank&&(y=!0,v=m.as4D(1,m.shape[0],m.shape[1],m.shape[2])),I(4===v.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+v.rank+"."})),I(4===g.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+g.rank+"."})),null!=l&&I(O(a),(function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+l+" but got pad "+a+"."})),I(v.shape[3]===g.shape[2],(function(){return"Error in conv2d: depth of input ("+v.shape[3]+") must match input depth for filter "+g.shape[2]+"."})),I(yi(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),I("NHWC"===o,(function(){return"Error in conv2d: got dataFormat of "+o+" but only NHWC is currently supported."}));var b,x,w=ci(v.shape,g.shape,r,u,a,l);null!=c&&(b=Dt(b=dn(c,"bias","fused conv2d"),m)[0],Mr(w.outShape,b.shape)),null!=f&&(x=dn(f,"prelu weights","fused conv2d"));var C={x:v,filter:g};null!=c&&(C.bias=b),null!=f&&(C.preluActivationWeights=x);var N=[g,v],S=Bt.runKernelFunc((function(t,e){var n=t.fusedConv2d({input:v,filter:g,convInfo:w,bias:b,activation:h,preluActivationWeights:x});return e([g,v,n]),n}),C,(function(t,e){var n=e,i=n[0],o=n[1],s=n[2],l=Dp(t,s,h);I(vi(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. 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Pp(t,e){Array.isArray(t)||(t=[t]),t.forEach((function(t){null!=t&&I("complex64"!==t.dtype,(function(){return e+" does not support complex64 tensors."}))}))}function Wp(t,e,n,r,a,i){for(var o=a.strideHeight,s=a.strideWidth,u=a.dilationHeight,l=a.dilationWidth,c=a.effectiveFilterHeight,p=a.effectiveFilterWidth,h=a.padInfo.top,f=a.padInfo.left,d="max"===i?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=Qn(a.outShape,n),g=m.values,v=a.outShape[1]*a.outShape[2]*a.outShape[3],y=a.outShape[2]*a.outShape[3],b=a.outShape[3],x=0;x<a.batchSize;++x)for(var w=x*v,C=x*r[0],N=0;N<a.inChannels;++N)for(var S=0;S<a.outHeight;++S)for(var k=S*o-h,I=Math.max(0,k),E=Math.min(a.inHeight,c+k),A=w+S*y,T=0;T<a.outWidth;++T){for(var R=T*s-f,D=Math.max(0,R),O=Math.min(a.inWidth,p+R),_=d,F=0,M=0,z=I;z<E;z+=u){for(var L=C+z*r[1],B=D;B<O;B+=l){var P=t[L+B*r[2]+N];"max"===i&&P>_?_=P:"avg"===i&&(F+=P,M++)}if(isNaN(_))break}g[A+T*b+N]="avg"===i?F/M:_}return m}function Vp(t,e,n,r,a,i){void 0===a&&(a=!1),void 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e=t.call(this)||this;return e.blockSize=48,e.firstUse=!0,e.data=new ii(e,Bt),e}return i(e,t),e.prototype.write=function(t,e,n){this.firstUse&&(this.firstUse=!1,c().get("IS_NODE")&&pn("\n============================\nHi there 👋. 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a=n?t.shape[1]:t.shape[2],i=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=i*o,b=Qn([s,i,o],t.dtype),x=b.values,w=this.blockSize,C=0;C<s;C++)for(var N=0;N<i;N+=w)for(var S=0;S<o;S+=w)for(var k=0;k<a;k+=w)for(var I=Math.min(N+w,i),E=Math.min(S+w,o),A=Math.min(k+w,a),T=N;T<I;T++)for(var R=S;R<E;R++){for(var D=0,O=k;O<A;O++)D+=u[C*p+T*h+O*f]*l[O*m+R*g+C*v];x[C*y+(T*o+R)]+=D}return b.toTensor()},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,a=t.transposeB,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,a);return 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t>e?1:0}))},e.prototype.greaterEqual=function(t,e){return Pp([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>=e?1:0}))},e.prototype.logicalNot=function(t){Pp(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},e.prototype.logicalAnd=function(t,e){return Pp([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t&&e}))},e.prototype.logicalOr=function(t,e){return Pp([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t||e}))},e.prototype.select=function(t,e,n){Pp([t,e,n],"select");for(var r=this.readSync(t.dataId),a=this.readSync(e.dataId),i=this.readSync(n.dataId),o=Vn(e.shape,Tt(e.dtype,n.dtype)),s=this.readSync(o.dataId),u=0,l=0===t.rank||t.rank>1||1===e.rank?1:R(e.shape.slice(1)),c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=a[c]:s[u++]=i[c];return o},e.prototype.where=function(t){Pp([t],"where");var e=this.readSync(t.dataId);return Pi(t.shape,e)},e.prototype.topk=function(t,e,n){return Pp(t,"topk"),Bi(this.readSync(t.dataId),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Pp(t,"min"),xn("min",e,t.rank);for(var n=yn(t.shape,e),r=n[0],a=n[1],i=Vn(r,t.dtype),o=R(a),s=this.readSync(i.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 i},e.prototype.minimum=function(t,e){return Pp([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.min(t,e)}))},e.prototype.mod=function(t,e){return Pp([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){Pp(t,"max"),xn("max",e,t.rank);for(var n=yn(t.shape,e),r=n[0],a=n[1],i=Vn(r,t.dtype),o=R(a),s=this.readSync(i.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 i},e.prototype.maximum=function(t,e){return Pp([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.max(t,e)}))},e.prototype.all=function(t,e){Pp(t,"all"),xn("all",e,t.rank);for(var n=yn(t.shape,e),r=n[0],a=n[1],i=Vn(r,t.dtype),o=R(a),s=this.readSync(i.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 i},e.prototype.any=function(t,e){Pp(t,"any"),xn("any",e,t.rank);for(var n=yn(t.shape,e),r=n[0],a=n[1],i=Vn(r,t.dtype),o=R(a),s=this.readSync(i.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 i},e.prototype.squaredDifference=function(t,e){return Pp([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t-e;return n*n}))},e.prototype.ceil=function(t){Pp(t,"ceil");for(var e=this.readSync(t.dataId),n=new 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this.makeOutput(n,t.shape,"float32")},e.prototype.log1p=function(t){Pp(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=Math.log1p(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.sqrt=function(t){Pp(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=Math.sqrt(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.rsqrt=function(t){Pp(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=1/Math.sqrt(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.reciprocal=function(t){Pp(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){Pp(t,"relu");for(var e=Vn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return e},e.prototype.relu6=function(t){Pp(t,"relu");for(var e=Vn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),a=0;a<r.length;++a)n[a]=Math.min(Math.max(0,r[a]),6);return e},e.prototype.prelu=function(t,e){return Pp([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},e.prototype.elu=function(t){Pp(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=n[r];e[r]=a>=0?a:Math.exp(a)-1}return this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Pp([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),a=this.readSync(t.dataId),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Pp(t,"selu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=n[r];e[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return this.makeOutput(e,t.shape,"float32")},e.prototype.clip=function(t,e,n){Pp(t,"clip");for(var r=new Float32Array(t.size),a=this.readSync(t.dataId),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<e?e:o}return this.makeOutput(r,t.shape,"float32")},e.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var a=n[2*r],i=n[2*r+1];e[r]=Math.hypot(a,i)}return this.makeOutput(e,t.shape,"float32")},e.prototype.int=function(t){Pp(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},e.prototype.sigmoid=function(t){Pp(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},e.prototype.softplus=function(t){Pp(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),a=0;a<r.length;++a){var i,o=r[a]>-e,s=r[a]<e,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return this.makeOutput(n,t.shape,"float32")},e.prototype.sin=function(t){Pp(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cos=function(t){Pp(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tan=function(t){Pp(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Pp(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Pp(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Pp(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Pp([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},e.prototype.sinh=function(t){Pp(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Pp(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Pp(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=_(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Pp(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Pp(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Pp(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Pp(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=Math.sign(n[r]),i=Math.abs(n[r]),o=1/(1+.3275911*i);e[r]=a*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i))}return this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Pp(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:e}return this.makeOutput(n,t.shape,"float32")},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.conv2d(e,n,r);return a&&(s=this.add(s,a)),i&&(s=Up(this,s,i,o)),s},e.prototype.conv2d=function(t,e,n){Pp([t,e],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l="channelsLast"===n.dataFormat,c=Qn(n.outShape,t.dtype),p=t.strides[0],h=l?t.strides[1]:t.strides[2],f=l?t.strides[2]:1,d=l?1:t.strides[1],m=c.strides[0],g=l?c.strides[1]:c.strides[2],v=l?c.strides[2]:1,y=l?1:c.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=c.values,C=0;C<n.batchSize;++C)for(var N=C*p,S=C*m,k=0;k<n.outHeight;++k)for(var I=S+k*g,E=k*n.strideHeight-u,A=0;A<r;A++){var T=E+A*i;if(!(T<0||T>=n.inHeight))for(var R=A*e.strides[0],D=N+T*h,O=0;O<n.outWidth;++O)for(var _=I+O*v,F=O*n.strideWidth-s,M=0;M<a;M++){var z=F+M*o;if(!(z<0||z>=n.inWidth))for(var L=D+z*f,B=R+M*e.strides[1],P=0;P<n.inChannels;++P){for(var W=b[L+P*d],V=0;V<n.outChannels;++V)w[_+V*y]+=W*x[B+V];B+=n.outChannels}}}return c.toTensor()},e.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,a=n.filterHeight,i=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=Qn(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),m=h.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*h.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*h.strides[1],w=b*n.strideDepth-l,C=0;C<r;C++){var N=w+C*o;if(!(N<0||N>=n.inDepth))for(var S=C*e.strides[0],k=v+N*t.strides[1],I=0;I<n.outHeight;++I)for(var E=x+I*h.strides[2],A=I*n.strideHeight-p,T=0;T<a;T++){var R=A+T*s;if(!(R<0||R>=n.inHeight))for(var D=S+T*e.strides[1],O=k+R*t.strides[2],_=0;_<n.outWidth;++_)for(var F=E+_*n.outChannels,M=_*n.strideWidth-c,z=0;z<i;z++){var L=M+z*u;if(!(L<0||L>=n.inWidth))for(var B=D+z*e.strides[2],P=O+L*n.inChannels,W=B,V=0;V<n.inChannels;++V){for(var U=f[P+V],j=0;j<n.outChannels;++j)m[F+j]+=U*d[W+j];W+=n.outChannels}}}}return h.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Pp([t,e],"conv2dDerInput");for(var r=Qn(n.inShape,"float32"),a=r.values,i=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],l=s[1],c=s[2],p=n.batchSize,h=n.filterHeight,f=n.filterWidth,d=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,C=n.dataFormat,N=h-1-n.padInfo.top,S=f-1-n.padInfo.left,k="channelsLast"===C,I=r.strides[0],E=k?r.strides[1]:r.strides[2],A=k?r.strides[2]:1,T=k?1:r.strides[1],R=t.strides[0],D=k?t.strides[1]:t.strides[2],O=k?t.strides[2]:1,_=k?1:t.strides[1],F=0;F<p;++F)for(var M=0;M<d;++M)for(var z=0;z<m;++z)for(var L=z-N,B=Math.max(0,Math.ceil(L/x)),P=Math.min(y,(h+L)/x),W=0;W<g;++W){for(var V=W-S,U=Math.max(0,Math.ceil(V/w)),j=Math.min(b,(f+V)/w),G=0,q=B;q<P;++q)for(var H=q*x-L,K=U;K<j;++K)for(var X=R*F+D*q+O*K,Y=u*(h-1-H)+l*(f-1-(K*w-V))+c*M,J=0;J<v;++J)G+=i[X+_*J]*o[Y+J];a[I*F+E*z+A*W+T*M]=G}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=Qn(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=i[3],c=this.readSync(t.dataId),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=n.batchSize,N=n.filterDepth,S=n.filterHeight,k=n.filterWidth,I=n.inChannels,E=n.inDepth,A=n.inHeight,T=n.inWidth,R=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,F=n.strideDepth,M=n.strideHeight,z=n.strideWidth,L=N-1-n.padInfo.front,B=S-1-n.padInfo.top,P=k-1-n.padInfo.left,W=0;W<C;++W)for(var V=0;V<I;++V)for(var U=0;U<E;++U)for(var j=U-L,G=Math.max(0,Math.ceil(j/F)),q=Math.min(D,(N+j)/F),H=0;H<A;++H)for(var K=H-B,X=Math.max(0,Math.ceil(K/M)),Y=Math.min(O,(S+K)/M),J=0;J<T;++J){for(var $=J-P,Z=Math.max(0,Math.ceil($/z)),Q=Math.min(_,(k+$)/z),tt=0,et=G;et<q;++et)for(var nt=et*F-j,rt=X;rt<Y;++rt)for(var at=rt*M-K,it=Z;it<Q;++it)for(var ot=h*W+f*et+d*rt+m*it,st=y*(N-1-nt)+b*(S-1-at)+x*(k-1-(it*z-$))+w*V,ut=0;ut<R;++ut)tt+=c[ot+ut]*g[st+ut];a[o*W+s*U+u*H+l*J+V]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Pp([t,e],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=Qn(n.filterShape,"float32"),l=n.padInfo.left,c=n.padInfo.top,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<i;++f)for(var d=Math.max(0,Math.ceil((c-f)/r)),m=Math.min(n.outHeight,(n.inHeight+c-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((l-g)/a)),y=Math.min(n.outWidth,(n.inWidth+l-g)/a),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,C=0;C<n.batchSize;++C)for(var N=d;N<m;++N)for(var S=f+N*r-c,k=v;k<y;++k){var I=g+k*a-l;w+=s?p.get(C,S,I,b)*h.get(C,N,k,x):p.get(C,b,S,I)*h.get(C,x,N,k)}u.set(w,f,g,b,x)}return u.toTensor()},e.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=Qn(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=this.readSync(t.dataId),N=t.strides,S=N[0],k=N[1],I=N[2],E=N[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),F=D*h,M=0;M<s;++M)for(var z=Math.max(0,Math.ceil((R-M)/a)),L=Math.min(n.outHeight,(n.inHeight+R-M)/a),B=M*f+F,P=0;P<u;++P)for(var W=Math.max(0,Math.ceil((T-P)/i)),V=Math.min(n.outWidth,(n.inWidth+T-P)/i),U=P*d+B,j=0;j<n.inChannels;++j)for(var G=j*m+U,q=0;q<n.outChannels;++q){for(var H=0,K=0;K<n.batchSize;++K)for(var X=K*S,Y=K*y,J=O;J<_;++J)for(var $=(D+J*r-A)*k+X,Z=J*b+Y,Q=z;Q<L;++Q)for(var tt=(M+Q*a-R)*I+$,et=Q*x+Z,nt=W;nt<V;++nt){var rt=nt*w+et;H+=C[(P+nt*i-T)*E+tt+j]*g[rt+q]}c[G+q]=H}return l.toTensor()},e.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return a&&(s=this.add(s,a)),i&&(s=Up(this,s,i,o)),s},e.prototype.depthwiseConv2D=function(t,e,n){Pp([t,e],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=Qn(n.outShape,t.dtype),p=this.readSync(t.dataId),h=this.readSync(e.dataId),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*c.strides[1],b=v*n.strideHeight-s,x=0;x<r;++x){var w=b+x*i;if(!(w<0||w>=n.inHeight))for(var C=x*e.strides[0],N=m+w*t.strides[1],S=0;S<n.outWidth;++S)for(var k=y+S*c.strides[2],I=S*n.strideWidth-u,E=0;E<a;++E){var A=I+E*o;if(!(A<0||A>=n.inWidth))for(var T=C+E*e.strides[1],R=N+A*n.inChannels,D=k,O=T,_=0;_<n.inChannels;++_){for(var F=p[R+_],M=0;M<l;++M)f[D+M]+=F*h[O+M];D+=l,O+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Pp([t,e],"depthwiseConv2DDerInput");for(var r=Qn(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=this.readSync(t.dataId),c=t.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,C=n.inChannels,N=n.inHeight,S=n.inWidth,k=n.outChannels,I=n.outHeight,E=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=x-1-n.padInfo.top,D=w-1-n.padInfo.left,O=k/C,_=0;_<b;++_)for(var F=0;F<C;++F)for(var M=0;M<N;++M)for(var z=M-R,L=Math.max(0,Math.ceil(z/A)),B=Math.min(I,(x+z)/A),P=0;P<S;++P){for(var W=P-D,V=Math.max(0,Math.ceil(W/T)),U=Math.min(E,(w+W)/T),j=0,G=L;G<B;++G)for(var q=G*A-z,H=V;H<U;++H)for(var K=p*_+h*G+f*H,X=g*(x-1-q)+v*(w-1-(H*T-W))+y*F,Y=0;Y<O;++Y)j+=l[K+(F*O+Y)]*d[X+Y];a[o*_+s*M+u*P+F]=j}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Pp([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Qn(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<i;++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)/a)),y=Math.min(n.outWidth,(n.inWidth+u-g)/a),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/c),w=b%c,C=0,N=0;N<n.batchSize;++N)for(var S=d;S<m;++S)for(var k=f+S*r-l,I=v;I<y;++I){var E=g+I*a-u;C+=p.get(N,k,E,x)*h.get(N,S,I,b)}s.set(C,f,g,x,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Pp(t,"tile"),Li(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Pp(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),a=e.map((function(t){return t[0]})),i=this.bufferSync(t),o=Qn(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=i.indexToLoc(s),l=u.map((function(t,e){return t+a[e]}));o.set.apply(o,[i.get.apply(i,u)].concat(l))}return o.toTensor()},e.prototype.gather=function(t,e,n){Pp([t,e],"gather");var r=t.shape.slice(),a=this.readSync(e.dataId);r[n]=a.length;for(var i=Qn(r,t.dtype),o=this.bufferSync(t),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Pp([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),a=hr(t.shape,e,r),i=fr(a.length,e.length),o=dr(t.shape,e,r),s=mr(n,e.length),u=gr(o,n,e.length);return ai(t.reshape(a),i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Pp([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),a=[[0,0]];a.push.apply(a,n);for(var i=1+e.length;i<t.shape.length;++i)a.push([0,0]);var o=t.pad(a),s=hr(o.shape,e,r,!1),u=fr(s.length,e.length,!1),l=dr(o.shape,e,r,!1);return ai(o.reshape(s),u).reshape(l)},e.prototype.maxPool=function(t,e){return Pp(t,"maxPool"),Wp(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Pp([e,n],"maxPoolBackprop");for(var a=this.readSync(e.dataId),i=Qn(r.outShape,e.dtype,Vp(a,e.shape,e.dtype,r).values),o=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,l=r.dilationWidth,c=r.effectiveFilterHeight,p=r.effectiveFilterWidth,h=p-1-r.padInfo.left,f=c-1-r.padInfo.top,d=Qn(e.shape,"float32"),m=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-f,w=b-h,C=0,N=0;N<c;N+=u){var S=(x+N)/o;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var k=0;k<p;k+=l){var I=(w+k)/s;if(!(I<0||I>=r.outWidth||Math.floor(I)!==I)){var E=c*p-1-i.get(g,S,I,v)===N*p+k?1:0;0!==E&&(C+=m.get(g,S,I,v)*E)}}}d.set(C,g,y,b,v)}return d.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Pp([t,e],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=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=Qn(e.shape,"float32"),d=1/(i*o),m=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-h,w=b-p,C=0,N=0;N<l;N+=s){var S=(x+N)/r;if(!(S<0||S>=n.outHeight||Math.floor(S)!==S))for(var k=0;k<c;k+=u){var I=(w+k)/a;I<0||I>=n.outWidth||Math.floor(I)!==I||(C+=m.get(g,S,I,v))}}f.set(C*d,g,y,b,v)}return f.toTensor()},e.prototype.pool3d=function(t,e,n){Pp(t,"pool3d");for(var r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),v=Qn(e.outShape,t.dtype),y=v.values,b=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],x=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],N=0;N<e.batchSize;++N)for(var S=N*b,k=N*t.strides[0],I=0;I<e.inChannels;++I)for(var E=0;E<e.outDepth;++E){for(var A=E*r-h,T=A;T<0;)T+=o;for(var R=Math.min(e.inDepth,l+A),D=S+E*x,O=0;O<e.outHeight;++O){for(var _=O*a-f,F=_;F<0;)F+=s;for(var M=Math.min(e.inHeight,c+_),z=D+O*w,L=0;L<e.outWidth;++L){for(var B=L*i-d,P=B;P<0;)P+=u;for(var W=Math.min(e.inWidth,p+B),V=z+L*C,U=m,j=0,G=0,q=T;q<R;q+=o){for(var H=k+q*t.strides[1],K=F;K<M;K+=s){for(var X=H+K*t.strides[2],Y=P;Y<W;Y+=u){var J=g[X+Y*t.strides[3]+I];if("max"===n&&J>U?U=J:"avg"===n&&(j+=J,G++),isNaN(U))break}if(isNaN(U))break}if(isNaN(U))break}y[V+I]="avg"===n?j/G:U}}}return v.toTensor()},e.prototype.avgPool3d=function(t,e){return Pp(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Pp([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=n.dilationDepth,c=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,f=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=h-1-n.padInfo.front,g=d-1-n.padInfo.left,v=f-1-n.padInfo.top,y=Qn(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var N=0;N<n.inDepth;++N)for(var S=0;S<n.inHeight;++S)for(var k=0;k<n.inWidth;++k){for(var I=N-m,E=S-v,A=k-g,T=0,R=0;R<h;R+=l){var D=(I+R)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var O=0;O<f;O+=c){var _=(E+O)/a;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var F=0;F<d;F+=p){var M=(A+F)/i;M<0||M>=n.outWidth||Math.floor(M)!==M||(T+=x.get(w,D,_,M,C))}}}y.set(T*b,w,N,S,k,C)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Pp(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=Qn(e.outShape,"int32"),r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m=this.bufferSync(t),g=0;g<e.batchSize;++g)for(var v=0;v<e.inChannels;++v)for(var y=0;y<e.outDepth;++y){for(var b=y*r-h,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,l+b),C=0;C<e.outHeight;++C){for(var N=C*a-f,S=N;S<0;)S+=s;for(var k=Math.min(e.inHeight,c+N),I=0;I<e.outWidth;++I){for(var E=I*i-d,A=E;A<0;)A+=u;for(var T=Math.min(e.inWidth,p+E),R=Number.NEGATIVE_INFINITY,D=-1,O=x;O<w;O+=o)for(var _=O-b,F=S;F<k;F+=s)for(var M=F-N,z=A;z<T;z+=u){var L=z-E,B=m.get(g,O,F,z,v);B>=R&&(R=B,D=_*c*p+M*c+L)}n.set(D,g,y,C,I,v)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Pp([e,n],"maxPool3dBackprop");for(var a=this.maxPool3dPositions(e,r),i=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=p-1-r.padInfo.front,m=f-1-r.padInfo.left,g=h-1-r.padInfo.top,v=Qn(e.shape,"float32"),y=this.bufferSync(a),b=this.bufferSync(t),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var N=0;N<r.inHeight;++N)for(var S=0;S<r.inWidth;++S){for(var k=C-d,I=N-g,E=S-m,A=0,T=0;T<p;T+=u){var R=(k+T)/i;if(!(R<0||R>=r.outDepth||Math.floor(R)!==R))for(var D=0;D<h;D+=l){var O=(I+D)/o;if(!(O<0||O>=r.outHeight||Math.floor(O)!==O))for(var _=0;_<f;_+=c){var F=(E+_)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var M=p*h*f-1-y.get(x,R,O,F,w)===T*h*f+D*f+_?1:0;0!==M&&(A+=b.get(x,R,O,F,w)*M)}}}}v.set(A,x,C,N,S,w)}return v.toTensor()},e.prototype.cast=function(t,e){return xi(t,e,this)},e.prototype.reshape=function(t,e){return wi(t,e)},e.prototype.avgPool=function(t,e){return Pp(t,"avgPool"),Pp(t,"maxPool"),Wp(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Pp(t,"resizeBilinear");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(t.dataId),c=new Float32Array(R([i,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<i;g++)for(var v=0;v<e;v++)for(var y=d*v,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),C=g*t.strides[0]+b*t.strides[1],N=g*t.strides[0]+w*t.strides[1],S=0;S<n;S++)for(var k=m*S,I=Math.floor(k),E=k-I,A=Math.min(s-1,Math.ceil(k)),T=C+I*t.strides[2],D=N+I*t.strides[2],O=C+A*t.strides[2],_=N+A*t.strides[2],F=0;F<u;F++){var M=l[T+F],z=l[D+F],L=M+(l[O+F]-M)*E,B=L+(z+(l[_+F]-z)*E-L)*x;c[f++]=B}return Rn(c,[i,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Pp([t,e],"resizeBilinearBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=[n&&l>1?i-1:i,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<a;y++)for(var b=y*e.strides[0],x=0;x<l;x++)for(var w=x*d,C=Math.floor(w),N=Math.min(Math.ceil(w),i-1),S=b+C*e.strides[1],k=b+N*e.strides[1],I=w-C,E=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,F=S+R*e.strides[2],M=S+D*e.strides[2],z=k+R*e.strides[2],L=k+D*e.strides[2],B=E*_,P=E*O,W=I*_,V=I*O,U=0;U<s;U++){var j=g[v++];p[F+U]+=j*B,p[M+U]+=j*P,p[z+U]+=j*W,p[L+U]+=j*V}return zn(p,[a,o,i,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Pp(t,"resizeNearestNeighbor");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(t.dataId),c=new Float32Array(i*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<i;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=f*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var C=d*w,N=x+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],S=0;S<u;S++){var k=l[N+S];c[m++]=k}return Rn(c,[i,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Pp([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=this.readSync(t.dataId),f=[n&&l>1?i-1:i,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,x=2*Math.ceil(y)+2,w=0;w<a;w++)for(var C=w*e.strides[0],N=0;N<i;N++)for(var S=C+N*e.strides[1],k=Math.floor(N*v),I=Math.floor(k-b/2),E=0;E<o;E++)for(var A=S+E*e.strides[2],T=Math.floor(E*y),R=Math.floor(T-x/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var F=_+I;if(!(F<0||F>=l)){var M=C+F*t.strides[1],z=F*m;if(N===Math.min(i-1,n?Math.round(z):Math.floor(z)))for(var L=0;L<x;L++){var B=L+R;if(!(B<0||B>=c)){var P=M+B*t.strides[2],W=B*g;E===Math.min(o-1,n?Math.round(W):Math.floor(W))&&(O+=h[P+D])}}}}p[A+D]=O}return zn(p,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,a,i){Pp([t,e,n,a,i],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),l=a?this.readSync(a.dataId):new Float32Array([1]),c=i?this.readSync(i.dataId):new Float32Array([0]),p=new Float32Array(o.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)p[x]=c[g++]+(o[x]-s[v++])*l[y++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),v>=m&&(v=0),y>=f&&(y=0),b>=d&&(b=0);return zn(p,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,a){Pp(t,"localResponseNormalization4D");var i=t.shape[3],o=i-1,s=this.readSync(t.dataId),u=t.size,l=new Float32Array(u);function c(t){for(var n=t%i,r=t-n+Math.max(0,n-e),a=t-n+Math.min(n+e,o),u=0;r<=a;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,-a);l[p]=f}return zn(l,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,a,i,o){Pp(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=i*v+a,y=m;y<g;y++){var b=-2*i*o*l[y]*c[f]/v;f===y&&(b+=Math.pow(v,-o)),b*=u[f],p[y]+=b}}return zn(p,t.shape)},e.prototype.multinomial=function(t,e,n,r){Pp(t,"multinomial");for(var a=e?t:ni(t),i=a.shape[0],o=a.shape[1],s=Vn([i,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(a.dataId),c=0;c<i;++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=Iu(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){Pp(t,"oneHot");var a=new Float32Array(t.size*e);a.fill(r);for(var i=this.readSync(t.dataId),o=0;o<t.size;++o)i[o]>=0&&i[o]<e&&(a[o*e+i[o]]=n);return Fn(a,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,a){return Pp(t,"nonMaxSuppression"),Ri(this.readSync(t.dataId),this.readSync(e.dataId),n,r,a)},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],a=Qn(t.shape,"float32"),i=Qn(t.shape,"float32"),o=An(t).as2D(n,r),s=Tn(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=En(l,c),h=this.readSync(this.fftImpl(p,e).dataId),f=0;f<r;f++){var d=ki(h,f);a.values[u*r+f]=d.real,i.values[u*r+f]=d.imag}return En(a.toTensor(),i.toTensor()).as2D(n,r)},e.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var a=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(a=En(An(a).div(On(r)),Tn(a).div(On(r)))),a}var i=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(i,r,e));return En(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),a=e/2,i=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),a=0;a<t.length;a+=4)n[Math.floor(a/4)]=t[a],r[Math.floor(a/4)]=t[a+1];return{real:n,imag:r}}(r),o=En(i.real,i.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),a=2;a<t.length;a+=4)n[Math.floor(a/4)]=t[a],r[Math.floor(a/4)]=t[a+1];return{real:n,imag:r}}(r),u=En(s.real,s.imag).as1D();o=this.fftRadix2(o,a,n),u=this.fftRadix2(u,a,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),a=0;a<Math.ceil(t/2);a++){var i=(e?2:-2)*Math.PI*(a/t);n[a]=Math.cos(i),r[a]=Math.sin(i)}return{real:n,imag:r}}(e,n),c=En(l.real,l.imag).mul(u),p=o.add(c),h=o.sub(c),f=An(p).concat(An(h)),d=Tn(p).concat(Tn(h));return En(f,d).as1D()},e.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),a=0;a<e;a++){for(var i=0,o=0,s=0;s<e;s++){var u=Ei(a*s,e,n),l=ki(t,s);i+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(i/=e,o/=e),Ii(r,i,o,a)}return r},e.prototype.depthToSpace=function(t,e,n){I("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),I(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],a=t.shape[1],i=t.shape[2],o=t.shape[3],s=a*e,u=i*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 d=0;d<s;++d)for(var m=Math.floor(d/e),g=d%e,v=0;v<u;++v)for(var y=Math.floor(v/e),b=(g*e+v%e)*l,x=0;x<l;++x){var w=x+b+o*(y+i*(m+a*f));p[h++]=c[w]}return zn(p,[r,s,u,l])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var a=Mr(t.shape,e.shape),i=Qn(a,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=_r(t.shape,a),l=_r(e.shape,a),c=i.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 a=i.indexToLoc(n),p=a.slice(-t.rank);u.forEach((function(t){return p[t]=0}));var d=h.locToIndex(p),m=a.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 i.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Mr(t.shape,e.shape),a=Qn(r,"float32"),i=Qn(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=_r(t.shape,r),l=_r(e.shape,r),c=a.values,p=i.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 i=a.indexToLoc(r),h=i.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var f=g.locToIndex(h),d=i.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(a.toTensor(),i.toTensor())},e.prototype.split=function(t,e,n){return zi(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,a,i){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=Qn([p,h,f,c],"float32"),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),y=t.strides,b=d.strides,x=0;x<p;x++){var w=4*x,C=m[w],N=m[w+1],S=m[w+2],k=m[w+3],I=g[x];if(!(I>=s))for(var E=h>1?(S-C)*(u-1)/(h-1):0,A=f>1?(k-N)*(l-1)/(f-1):0,T=0;T<h;T++){var R=h>1?C*(u-1)+T*E:.5*(C+S)*(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]+x*b[0];d.values[_]=i}else if("bilinear"===a){var F=Math.floor(R),M=Math.ceil(R),z=R-F;for(D=0;D<f;D++)if((q=f>1?N*(l-1)+D*A:.5*(N+k)*(l-1))<0||q>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+x*b[0],d.values[_]=i;else{var L=Math.floor(q),B=Math.ceil(q),P=q-L;for(O=0;O<c;O++){var W=v[_=O+L*y[2]+F*y[1]+I*y[0]],V=v[_=O+B*y[2]+F*y[1]+I*y[0]],U=v[_=O+L*y[2]+M*y[1]+I*y[0]],j=W+(V-W)*P,G=U+(v[_=O+B*y[2]+M*y[1]+I*y[0]]-U)*P;_=O+D*b[2]+T*b[1]+x*b[0],d.values[_]=j+(G-j)*z}}}else for(D=0;D<f;++D){var q;if((q=f>1?N*(l-1)+D*A:.5*(N+k)*(l-1))<0||q>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+x*b[0],d.values[_]=i;else{var H=Math.round(q),K=Math.round(R);for(O=0;O<c;O++){var X=O+H*y[2]+K*y[1]+I*y[0],Y=O+D*b[2]+T*b[1]+x*b[0];d.values[Y]=v[X]}}}}}return d.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var a=Pa(0,t,n),i=a.sliceRank,o=a.numUpdates,s=a.sliceSize,u=a.strides,l=a.outputSize;return this.scatter(t,e,n,l,s,o,i,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],a=Fa(t,e),i=a[0],o=a[1],s=a[2],u=a[3];if(0===o)return Rn([],i,t.dtype);for(var l=new vt([o,s],t.dtype),c=this.readSync(e.dataId),p=this.readSync(t.dataId),h=0;h<o;h++){for(var f=[],d=0,m=0;m<r;m++){var g=c[h*r+m];d+=g*u[m],f.push(g)}if(d<0||d>=t.size/s)throw new Error("Invalid indices: "+f+" does not index into "+t.shape);for(var v=0;v<s;v++)l.values[h*s+v]=p[d*s+v]}return l.toTensor().reshape(i)},e.prototype.scatterND=function(t,e,n){var r=Pa(0,t,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=On(0);return this.scatter(t,e,n,u,o,i,a,s,l,!0)},e.prototype.fill=function(t,e,n){var r=V(n=n||$(e),R(t));return r.fill(e),Bt.makeTensor(r,t,n,this)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){var e=V(t.dtype,R(t.shape));return this.makeOutput(e,t.shape,t.dtype)},e.prototype.linspace=function(t,e,n){return Ci(t,e,n)},e.prototype.scatter=function(t,e,n,r,a,i,o,s,u,l){var c=[r/a,a],p=this.readSync(t.dataId),h=this.readSync(e.dataId);if(0===r)return Rn([],n,e.dtype);var f=new vt(c,e.dtype);f.values.fill(this.readSync(u.dataId)[0]);for(var d=0;d<i;d++){for(var m=[],g=0,v=0;v<o;v++){var y=p[d*o+v];m.push(y),g+=y*s[v]}if(g<0||g>=r/a)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<a;b++)l?f.values[g*a+b]+=h[d*a+b]:f.values[g*a+b]=0===e.rank?h[0]:h[d*a+b]}return f.toTensor().reshape(n)},e}(oi);function Gp(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,a=n.backend,i=r,o=i.a,s=i.b,u=a;Pp([o,s],t);var l=u.data.get(o.dataId).values,c=u.data.get(s.dataId).values,p=e(o.shape,s.shape,l,c,o.dtype),h=p[0],f=p[1];return{dataId:u.write(h,f,o.dtype),shape:f,dtype:o.dtype}}}}function qp(t){return function(e,n,r,a,i){var o=Mr(e,n),s=o.length,u=tt(o),l=W(i,R(o)),c=e.length,p=n.length,h=tt(e),f=tt(n),d=_r(e,o),m=_r(n,o);if(d.length+m.length===0)for(var g=0;g<l.length;++g)l[g]=t(r[g%r.length],a[g%a.length]);else{var v=function(e){var n=ct(e,s,u),i=n.slice(-c);d.forEach((function(t){return i[t]=0}));var o=lt(i,c,h),g=n.slice(-p);m.forEach((function(t){return g[t]=0}));var v=lt(g,p,f);l[e]=t(r[o],a[v])};for(g=0;g<l.length;++g)v(g)}return[l,o]}}Bt.registerBackend("cpu",(function(){return new jp}),1);var Hp=qp((function(t,e){return t/e})),Kp=Gp(br,Hp),Xp={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,a=e.x,i=n,o=i.filterSize,s=i.strides,u=i.pad,l=i.includeBatchInIndex,c=r;Pp(a,"MaxPoolWithArgmax");var p=c.data.get(a.dataId).values,h=ui(a.shape,o,s,[1,1],u),f=function(t,e,n,r,a){var i=Wp(t,0,n,tt(e),a,"max"),o=Vp(t,e,n,a,!0,r);return[i.values,o.values]}(p,a.shape,a.dtype,l,h),d=f[0],m=f[1],g=c.write(d,h.outShape,a.dtype),v=c.write(m,h.outShape,a.dtype);return[{dataId:g,shape:h.outShape,dtype:a.dtype},{dataId:v,shape:h.outShape,dtype:"int32"}]}},Yp={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,a=e,i=a.boxes,o=a.scores,s=r,u=s.maxOutputSize,l=s.iouThreshold,c=s.scoreThreshold,p=s.softNmsSigma,h=n;Pp(i,"NonMaxSuppressionWithScore");var f=Di(h.data.get(i.dataId).values,h.data.get(o.dataId).values,u,l,c,p);return[f.selectedIndices,f.selectedScores]}},Jp={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,a=n;Pp(r,"square");for(var i=a.data.get(r.dataId).values,o=new Float32Array(i.length),s=0;s<i.length;++s){var u=i[s];o[s]=u*u}return{dataId:a.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},$p=qp((function(t,e){var n=t-e;return n*n}));function Zp(t,e,n,r,a){for(var i=R(e),o=e.length,s=tt(e),u=tt(a),l=W(n,R(a)),c=0;c<i;++c){for(var p=ct(c,o,s),h=new Array(p.length),f=0;f<h.length;f++)h[f]=p[r[f]];l[lt(h,o,u)]=t[c]}return l}for(var Qp=0,th=[Yp,Jp,Gp(wr,$p),Kp,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,a=e.x,i=n.perm,o=r;Pp(a,"transpose");for(var s=a.shape.length,u=new Array(s),l=0;l<u.length;l++)u[l]=a.shape[i[l]];var c=Zp(o.data.get(a.dataId).values,a.shape,a.dtype,i,u);return{dataId:o.write(c,u,a.dtype),shape:u,dtype:a.dtype}}},Xp];Qp<th.length;Qp++)v(th[Qp]);for(var eh,nh=function(t){this.variableNames=["A"];var e=qi(),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    "},rh=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=qi(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "},ah=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 a=ao(this.rank),i=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),a=0;a<t.length;a++)r[t[a]]=n[a];return r.join()}(e);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "},ih=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var a=ao(this.rank),i=ji("rc",this.rank),o=new Array(this.rank);for(r=0;r<e.length;r++)o[e[r]]=i[r];var s="vec2("+o.slice(-2).join()+")",u="++"+i[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+u+") {\n        result[1] = "+l+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[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    "},oh=0,sh=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,a=e.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof 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Gh)}catch(a){}function qh(t){return new Promise((function(t){return setTimeout(t)})).then(t)}var Hh=function(){function t(e){if(!c().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e="model"),this.modelTopologyFileName=e+".json",this.weightDataFileName=e+".weights.bin"}return t.prototype.save=function(t){return o(this,void 0,void 0,(function(){var e,n,r,a,i,o;return s(this,(function(s){switch(s.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),(i=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,i.href=a,[4,qh((function(){return i.dispatchEvent(new MouseEvent("click"))}))];case 2:return s.sent(),null==t.weightData?[3,4]:((o=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,o.href=e,[4,qh((function(){return o.dispatchEvent(new MouseEvent("click"))}))]);case 3:s.sent(),s.label=4;case 4:return[2,{modelArtifactsInfo:xh(t)}]}}))}))},t.URL_SCHEME="downloads://",t}(),Kh=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return 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h=s.sent(),f={},d=0,c.forEach((function(t){for(var e=n[t].paths.length,r=0,a=0;a<e;a++)r+=h[d+a].byteLength;for(var o=new ArrayBuffer(r),s=new Uint8Array(o),u=0,l=0;l<e;l++){var c=new Uint8Array(h[d+l]);s.set(c,u),u+=c.byteLength}i[t].forEach((function(t){var e=dh(o.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)f[n]=e[n]})),d+=e})),[2,f]}}))}))}}wh.registerSaveRouter((function(t){return c().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Hh.URL_SCHEME)?function(t){return void 0===t&&(t="model"),new Hh(t)}(t.slice(Hh.URL_SCHEME.length)):null}));var $h=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null!=e.fetchFunc?(I("function"==typeof e.fetchFunc,(function(){return"Must pass a function that matches the signature of `fetch` (see 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You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(r=e.modelTopology,a=e.weightsManifest,i=e.generatedBy,o=e.convertedBy,u=e.format,l=e.userDefinedMetadata,null==r&&null==a)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==a?[3,7]:[4,this.loadWeights(a)];case 6:h=s.sent(),c=h[0],p=h[1],s.label=7;case 7:return[2,{modelTopology:r,weightSpecs:c,weightData:p,userDefinedMetadata:l,generatedBy:i,convertedBy:o,format:u}]}}))}))},t.prototype.loadWeights=function(t){return o(this,void 0,void 0,(function(){var e,n,r,a,i,o,u,l,c,p,h;return s(this,(function(s){switch(s.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?");return[t.substring(0,e)+"/",n>e?t.substring(n):""]}(e),r=n[0],a=n[1],i=this.weightPathPrefix||r,o=[],u=0,l=t;u<l.length;u++)c=l[u],o.push.apply(o,c.weights);return p=[],t.forEach((function(t){t.paths.forEach((function(t){p.push(i+t+a)}))})),[4,Yh(p,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 1:return h=s.sent(),[2,[o,yh(h)]]}}))}))},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Zh(t){return null!=t.match($h.URL_SCHEME_REGEX)}var Qh=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every((function(t){return Zh(t)})):Zh(t))?tf(t,{onProgress:e}):null};function tf(t,e){return new $h(t,e)}wh.registerSaveRouter(Qh),wh.registerLoadRouter(Qh);var ef,nf=function(){function t(t){this.modelArtifacts=t}return t.prototype.load=function(){return o(this,void 0,void 0,(function(){return s(this,(function(t){return[2,this.modelArtifacts]}))}))},t}(),rf=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return o(this,void 0,void 0,(function(){return s(this,(function(e){return[2,this.saveHandler(t)]}))}))},t}(),af=Object.freeze({browserFiles:function(t){return new Kh(t)},browserHTTPRequest:function(t,e){return tf(t,e)},concatenateArrayBuffers:yh,decodeWeights:dh,encodeWeights:function(t,e){return o(this,void 0,void 0,(function(){var n,r,a,i,u,l=this;return s(this,(function(c){switch(c.label){case 0:for(n=[],r=[],a=Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t),i=function(i){var u=a[i],c=Array.isArray(t)?t[i].tensor:t[u];if("float32"!==c.dtype&&"int32"!==c.dtype&&"bool"!==c.dtype&&"string"!==c.dtype)throw new Error("Unsupported dtype in weight '"+u+"': "+c.dtype);var p={name:u,shape:c.shape,dtype:c.dtype};if("string"===c.dtype){var h=new Promise((function(t){return o(l,void 0,void 0,(function(){var e,n,r,a,i,o,u;return s(this,(function(s){switch(s.label){case 0:return[4,c.bytes()];case 1:for(e=s.sent(),n=e.reduce((function(t,e){return t+e.length}),0)+4*e.length,r=new Uint8Array(n),a=0,i=0;i<e.length;i++)o=e[i],u=new Uint8Array(new Uint32Array([o.length]).buffer),r.set(u,a),a+=4,r.set(o,a),a+=o.length;return t(r),[2]}}))}))}));r.push(h)}else r.push(c.data());null!=e&&(p.group=e),n.push(p)},u=0;u<a.length;++u)i(u);return[4,Promise.all(r)];case 1:return[2,{data:mh(c.sent()),specs:n}]}}))}))},fromMemory:function(t,e,n,r){return 1===arguments.length?null!=t.modelTopology||null!=t.weightSpecs?new nf(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new nf({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. 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u=e.accumulatedFirstMoment[i].variable,l=e.accumulatedWeightedInfNorm[i].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=a.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&&Ze(this.accumulatedFirstMoment.map((function(t){return t.variable}))),null!=this.accumulatedWeightedInfNorm&&Ze(this.accumulatedWeightedInfNorm.map((function(t){return t.variable})))},e.prototype.getWeights=function(){return o(this,void 0,void 0,(function(){return s(this,(function(t){throw new Error("getWeights() is not implemented for Adamax yet.")}))}))},e.prototype.setWeights=function(t){return o(this,void 0,void 0,(function(){return s(this,(function(t){throw new Error("setWeights() is not implemented for 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"+e.shape);if(e.rank>=3&&t.shape.slice(-1)[0]!==(c=e.shape.slice(-2)[0]))throw new Bf("If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = "+t.shape+" and  y shape = "+e.shape);if(2===t.rank&&2===e.rank){var a=!1,i=!1;return Lp.matMul({a:t,b:e,transposeA:a,transposeB:i,bias:r?Xd(t.rank,r,"channelsLast"):null,activation:n})}var o=t.shape.slice(),s=o.pop();t=t.reshape([-1,s]);var u=e.shape.slice(),l=u.pop(),c=u.pop(),p=u.concat([l]),h=Array.from({length:e.rank},(function(t,n){return 0===n?e.rank-2:n<=e.rank-2?n-1:n}));e=e.transpose(h).reshape([c,-1]);var f=o.concat(p);return a=!1,i=!1,Lp.matMul({a:t,b:e,transposeA:a,transposeB:i,bias:r?Xd(t.rank,r,"channelsLast"):null,activation:n}).reshape(f)}function Hd(t,e,n){return $e((function(){return e=Array.isArray(e)?_n(e,"int32"):e.toInt(),Ml(t,e,n)}))}function Kd(t){return Ea(t,t)}function Xd(t,e,n){var r=e.shape;if(1!==e.rank&&e.rank!==t)throw new Lf("Unexpected bias dimensions: "+e.rank+"; expected it to be 1 or "+t);if(5===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1,1,1]):e.reshape([1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,1,1,r[0]]):e.reshape([1].concat(r))}else if(4===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1,1]):e.reshape([1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,1,r[0]]):e.reshape([1].concat(r))}else if(3===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1]):e.reshape([1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,r[0]]):e.reshape([1].concat(r))}else if(t<3)return e;throw new Lf("Unsupported input rank by biasAdd: "+e.rank)}function Yd(t,e,n){return $e((function(){return null==n&&(n="channelsLast"),wd(n),t.add(Xd(t.rank,e,n))}))}function Jd(t,e,n,r){return $e((function(){return Qc(t,e,n,r)}))}function $d(t,e,n){return void 0===n&&(n=!1),n?t():e()}var Zd=["fanIn","fanOut","fanAvg"],Qd=["normal","uniform","truncatedNormal"],tm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.fromConfigUsesCustomObjects=function(){return!1},e.prototype.getConfig=function(){return{}},e}(ff.Serializable),em=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t,e){return Vn(t,e)},e.className="Zeros",e}(tm);ff.registerClass(em);var nm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t,e){return Wn(t,e)},e.className="Ones",e}(tm);ff.registerClass(nm);var rm=function(t){function e(e){var n=t.call(this)||this;if("object"!=typeof e)throw new Lf("Expected argument of type ConstantConfig but got "+e);if(void 0===e.value)throw new Lf("config must have value set but got "+e);return n.value=e.value,n}return Tf(e,t),e.prototype.apply=function(t,e){var n=this;return $e((function(){return Ia(On(n.value),Wn(t,e))}))},e.prototype.getConfig=function(){return{value:this.value}},e.className="Constant",e}(tm);ff.registerClass(rm);var am=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=e.minval||n.DEFAULT_MINVAL,n.maxval=e.maxval||n.DEFAULT_MAXVAL,n.seed=e.seed,n}return Tf(e,t),e.prototype.apply=function(t,e){return vl(t,this.minval,this.maxval,e)},e.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},e.className="RandomUniform",e}(tm);ff.registerClass(am);var im=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return Tf(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Bf("randomNormal does not support dType "+e+".");return Gd(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="RandomNormal",e}(tm);ff.registerClass(im);var om=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return Tf(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Bf("truncatedNormal does not support dType "+e+".");return xl(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="TruncatedNormal",e}(tm);ff.registerClass(om);var sm=function(t){function e(e){var n=t.call(this)||this;return n.gain=null!=e.gain?e.gain:1,n}return Tf(e,t),e.prototype.apply=function(t,e){var n=this;return $e((function(){if(2!==t.length||t[0]!==t[1])throw new Lf("Identity matrix initializer can only be used for 2D square matrices.");return Ia(n.gain,Qu(t[0]))}))},e.prototype.getConfig=function(){return{gain:this.gain}},e.className="Identity",e}(tm);ff.registerClass(sm);var um=function(t){function e(e){var n=t.call(this)||this;if(e.scale<0)throw new Lf("scale must be a positive float. Got: "+e.scale);return n.scale=null==e.scale?1:e.scale,n.mode=null==e.mode?"fanIn":e.mode,function(t){td(Zd,"FanMode",t)}(n.mode),n.distribution=null==e.distribution?"normal":e.distribution,function(t){td(Qd,"Distribution",t)}(n.distribution),n.seed=e.seed,n}return Tf(e,t),e.prototype.apply=function(t,e){var n=function(t,e){var n,r;if(void 0===e&&(e="channelsLast"),wd(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length))if("channelsFirst"===e){var a=Dd(t,2);n=t[1]*a,r=t[0]*a}else"channelsLast"===e&&(a=Dd(t,0,t.length-2),n=t[t.length-2]*a,r=t[t.length-1]*a);else{var i=Dd(t);n=Math.sqrt(i),r=Math.sqrt(i)}return[n,r]}(t),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Bf(this.getClassName()+" does not support dType "+e+".");return xl(t,0,o,e,this.seed)}var s=Math.sqrt(3*i);return vl(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}(tm);ff.registerClass(um);var lm=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="GlorotUniform",e}(um);ff.registerClass(lm);var cm=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="GlorotNormal",e}(um);ff.registerClass(cm);var pm=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="HeNormal",e}(um);ff.registerClass(pm);var hm=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="HeUniform",e}(um);ff.registerClass(hm);var fm=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="LeCunNormal",e}(um);ff.registerClass(fm);var dm=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return Tf(e,t),e.prototype.getClassName=function(){return um.className},e.className="LeCunNormal",e}(um);ff.registerClass(dm);var mm=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 Bf("Random seed is not implemented for Orthogonal Initializer yet.");return n}return Tf(e,t),e.prototype.apply=function(t,e){var n=this;return $e((function(){if(2!==t.length)throw new Bf("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=Gd(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=Cp.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),Ia(n.gain,r)}))},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(tm);ff.registerClass(mm);var gm={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 vm(t,e){return void 0===e&&(e={}),Jf(t,ff.SerializationMap.getMap().classNameMap,e,"initializer")}function ym(t){return Xf(t)}function bm(t){if("string"==typeof t){var e=t in gm?gm[t]:t;if("GlorotNormal"===e)return new cm;if("GlorotUniform"===e)return new lm;if("HeNormal"===e)return new pm;if("HeUniform"===e)return new hm;if("LeCunNormal"===e)return new fm;if("LeCunUniform"===e)return new dm;var n={};return n.className=e,n.config={},vm(n)}return t instanceof tm?t:vm(t)}var xm=Object.freeze({zeros:function(){return new em},ones:function(){return new nm},constant:function(t){return new rm(t)},randomUniform:function(t){return new am(t)},randomNormal:function(t){return new im(t)},truncatedNormal:function(t){return new om(t)},identity:function(t){return new sm(t)},varianceScaling:function(t){return new um(t)},glorotUniform:function(t){return new lm(t)},glorotNormal:function(t){return new cm(t)},heNormal:function(t){return new pm(t)},heUniform:function(t){return new hm(t)},leCunNormal:function(t){return new fm(t)},leCunUniform:function(t){return new dm(t)},orthogonal:function(t){return new mm(t)}}),wm=0;function Cm(){return wm++}var Nm={};function Sm(t){return void 0===t&&(t=""),t in Nm||(Nm[t]=0),Nm[t]+=1,t+Nm[t].toString()}function km(t){return Array.isArray(t)&&Array.isArray(t[0])}function Im(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function Em(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new Lf("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function Am(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new Lf("Expected exactly 1 Shape; got "+t.length)}return t}function Tm(t){for(var e=0,n=0,r=t;n<r.length;n++){var a=r[n];0===a.shape.length?e+=1:e+=a.shape.reduce((function(t,e){return t*e}))}return e}var Rm="Variable",Dm=function(){function t(t,e,n,r,a){void 0===e&&(e="float32"),void 0===n&&(n=Rm),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=Cm(),n=null==n?Rm:n,this.originalName=Id(n),this.name=Ed(this.originalName),this.trainable_=r,this.constraint=a,this.val=Pn(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 Om(t){return t.map((function(t){return t.read()}))}function _m(t){t.forEach((function(t){t[0].write(t[1])}))}var Fm=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||{}},Mm=function(t,e,n,r,a,i,o){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=Cm(),null!=i&&(this.originalName=Id(i),this.name=Ed(this.originalName)),this.rank=e.length},zm=0,Lm=function(){function t(t,e){this.callArgs=e,this.id=zm++,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 a=r[n];null!=a&&a.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}(),Bm=0,Pm=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=Bm++,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 a=n.getClassName();r=qf(a)+"_"+Sm(a)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){var i=void 0;if(null!=e.batchInputShape)i=e.batchInputShape;else if(null!=e.inputShape){var o=null;null!=e.batchSize&&(o=e.batchSize),i=[o].concat(e.inputShape)}n.batchInputShape=i;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 Tf(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 zf("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new Lf("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 jf(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return jf(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new Mf("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 Mf("Layer "+this.name+" is not connected, no input to return.");return jf(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new Mf("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new Mf("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return jf(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=Gf(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=Gf(this.inputSpec);if(t.length!==e.length)throw new Lf("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],a=e[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new Lf("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new Lf("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new Lf("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new Lf("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new Lf("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var p=0;p<a.shape.length;++p){var h=a.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new Lf("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.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=Gf(t),a=!0,i=0,o=r;i<o.length;i++)if(!(o[i]instanceof Mm)){a=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof Mm){s=!1;break}if(a===s)throw new Lf("Arguments to apply() must be all SymbolicTensors or all Tensors");return kd(this.name,(function(){if(!n.built){n.assertInputCompatibility(t);for(var a=[],i=0,o=Gf(t);i<o.length;i++){var u=o[i];a.push(u.shape)}n.build(jf(a)),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=Gf(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=jf(l),null!=n.activityRegularizer)throw new Bf("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=Gf(t);n<r.length;n++){var a=r[n];e.push(a.shape)}return jf(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,a){return new Mm(g,r,n,Gf(t),e,n.name,a)})):new Mm(g,d,n,Gf(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new Bf("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 Mf("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],a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new Mf("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 zf("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return Tm(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),Om(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;$e((function(){var n=e.weights;if(n.length!==t.length)throw new Lf('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=[],a=Om(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=t[i];if(!pt.arraysEqual(o.shape,u.shape))throw new Lf("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}_m(r)}}))},e.prototype.addWeight=function(t,e,n,r,a,i,o){if(-1!==this._addedWeightNames.indexOf(t))throw new Lf("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=bm("zeros"));var s=r.apply(e,n),u=new Dm(s,n,t,i,o);return s.dispose(),null!=a&&this.addLoss((function(){return a.apply(u.read())})),null==i&&(i=!0),i?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=Gf(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,a,i,o){void 0===o&&(o=null);var s=Gf(t);e=Gf(e),n=Gf(n),r=Gf(r),a=Im(a),i=Im(i);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 Lm({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},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}(ff.Serializable);function Wm(t,e,n){if((null==e||null!=n&&n>0)&&(e=t.sourceLayer,n=t.nodeIndex),0===e.inboundNodes.length)return[t];var r=e.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++)for(var o=0,s=Wm(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]);o<s.length;o++){var u=s[o];-1===a.indexOf(u)&&a.push(u)}return a}var Vm,Um=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Sm("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 Lf("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 Lf("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new Lf("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=e.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var i=new Mm(n.dtype,n.batchInputShape,n,[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new Lm({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return Tf(e,t),e.prototype.apply=function(t,e){throw new Lf("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},e.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},e.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},e.className="InputLayer",e}(Pm);function jm(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=t.batchShape&&null!=t.shape)throw new Lf("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));var n=t.dtype;return null==n&&(n="float32"),new Um({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function Gm(t){return Of(this,void 0,void 0,(function(){var e,n,r,a,i,o,s,u;return _f(this,(function(l){switch(l.label){case 0:if(null==t)return[2];for(a in e=[],n=[],r=[],t)"number"!=typeof(i=t[a])&&(o=i,e.push(o.data()),n.push(a),r.push(o));return e.length>0?[4,Promise.all(e)]:[3,2];case 1:for(s=l.sent(),u=0;u<s.length;++u)t[n[u]]=s[u][0];Ze(r),l.label=2;case 2:return[2]}}))}))}function qm(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}ff.registerClass(Um),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(Vm||(Vm={}));var Hm=function(){function t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.onEpochEnd=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.onBatchBegin=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.onBatchEnd=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.onTrainBegin=function(t){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.onTrainEnd=function(t){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return[2]}))}))},t.prototype.setModel=function(t){},t}(),Km=function(){function t(t,e){void 0===e&&(e=10),null==t&&(t=[]),this.callbacks=t,this.queueLength=e}return t.prototype.append=function(t){this.callbacks.push(t)},t.prototype.setParams=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setParams(t)},t.prototype.setModel=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setModel(t)},t.prototype.onEpochBegin=function(t,e){return Of(this,void 0,void 0,(function(){var n,r;return _f(this,(function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},t.prototype.onEpochEnd=function(t,e){return Of(this,void 0,void 0,(function(){var n,r;return _f(this,(function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},t.prototype.onBatchBegin=function(t,e){return Of(this,void 0,void 0,(function(){var n,r;return _f(this,(function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},t.prototype.onBatchEnd=function(t,e){return Of(this,void 0,void 0,(function(){var n,r;return _f(this,(function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},t.prototype.onTrainBegin=function(t){return Of(this,void 0,void 0,(function(){var e,n;return _f(this,(function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainBegin(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}}))}))},t.prototype.onTrainEnd=function(t){return Of(this,void 0,void 0,(function(){var e,n;return _f(this,(function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainEnd(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}}))}))},t}(),Xm=function(t){function e(){return t.call(this)||this}return Tf(e,t),e.prototype.onEpochBegin=function(t){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return this.seen=0,this.totals={},[2]}))}))},e.prototype.onBatchEnd=function(t,e){return Of(this,void 0,void 0,(function(){var t,n,r,a,i=this;return _f(this,(function(o){for(a in null==e&&(e={}),t=null==e.size?0:e.size,this.seen+=t,n=function(n){var a=e[n];if("number"==typeof a)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+a*t;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=0;var s=$e((function(){return Or(i.totals[n],Ia(a,t))}));r.totals[n]=s,null!=o&&o.dispose()}},r=this,e)n(a);return[2]}))}))},e.prototype.onEpochEnd=function(t,e){return Of(this,void 0,void 0,(function(){var t,n,r,a,i,o=this;return _f(this,(function(s){if(null!=e)for(t=function(t){if(null==n.totals[t])return"continue";"number"==typeof n.totals[t]?e[t]=n.totals[t]/n.seen:$e((function(){var n=Ia(_a(1,o.seen),o.totals[t]);e[t]=n,o.totals[t].dispose(),Qe(e[t])}))},n=this,r=0,a=this.params.metrics;r<a.length;r++)i=a[r],t(i);return[2]}))}))},e}(Hm),Ym=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.onTrainBegin=function(t){return Of(this,void 0,void 0,(function(){return _f(this,(function(t){return this.epoch=[],this.history={},[2]}))}))},e.prototype.onEpochEnd=function(t,e){return Of(this,void 0,void 0,(function(){var n;return _f(this,(function(r){for(n in null==e&&(e={}),this.epoch.push(t),e)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(e[n]);return[2]}))}))},e.prototype.syncData=function(){return Of(this,void 0,void 0,(function(){var t,e,n,r,a,i,o,s,u;return _f(this,(function(l){switch(l.label){case 0:for(r in t=[],e=[],n=[],this.history)for(a=this.history[r],i=0;i<a.length;++i)"number"!=typeof a[i]&&(o=a[i],t.push(o.data()),e.push(r),n.push(i));return[4,Promise.all(t)];case 1:for(s=l.sent(),u=0;u<s.length;++u)this.history[e[u]][n[u]].dispose(),this.history[e[u]][n[u]]=s[u][0];return[2]}}))}))},e}(Hm),Jm=function(t){function e(e,n){var r=t.call(this)||this;if(r.currentEpoch=0,r.yieldEvery=n||"auto","auto"===r.yieldEvery&&(r.yieldEvery=125),"never"===r.yieldEvery&&null!=e.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. Either change `yieldEvery` or remove the callback");return pt.isNumber(r.yieldEvery)&&(r.maybeWait=function(t,e){var n,r=pt.now();return function(){for(var a=[],i=0;i<arguments.length;i++)a[i]=arguments[i];var o=pt.now();return o-r<e?n:(r=o,n=t.apply(void 0,a))}}(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 Tf(e,t),e.prototype.maybeWait=function(t,e,n){return Of(this,void 0,void 0,(function(){var r;return _f(this,(function(a){switch(a.label){case 0:return r=[],null==this.yield?[3,2]:[4,Gm(n)];case 1:a.sent(),r.push(this.yield(t,e,n)),a.label=2;case 2:return r.push(Ef()),[4,Promise.all(r)];case 3:return a.sent(),[2]}}))}))},e.prototype.onEpochBegin=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){switch(n.label){case 0:return this.currentEpoch=t,null==this.epochBegin?[3,3]:[4,Gm(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 Of(this,void 0,void 0,(function(){var n;return _f(this,(function(r){switch(r.label){case 0:return n=[],null==this.epochEnd?[3,2]:[4,Gm(e)];case 1:r.sent(),n.push(this.epochEnd(t,e)),r.label=2;case 2:return"epoch"===this.yieldEvery&&n.push(Ef()),[4,Promise.all(n)];case 3:return r.sent(),[2]}}))}))},e.prototype.onBatchBegin=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,Gm(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 Of(this,void 0,void 0,(function(){var n;return _f(this,(function(r){switch(r.label){case 0:return n=[],null==this.batchEnd?[3,2]:[4,Gm(e)];case 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t.registerCallbackConstructor=function(e,n){pt.assert(e>=0&&Number.isInteger(e),(function(){return"Verbosity level is expected to be an integer >= 0, but got "+e})),t.checkForDuplicate(n),null==t.constructors[e]&&(t.constructors[e]=[]),t.constructors[e].push(n)},t.checkForDuplicate=function(e){for(var n in t.constructors)t.constructors[+n].forEach((function(t){if(t===e)throw new Lf("Duplicate callback constructor.")}))},t.clear=function(){t.constructors={}},t.createCallbacks=function(e){var n=[];for(var r in t.constructors){var a=+r;e>=a&&n.push.apply(n,t.constructors[a])}return n.map((function(t){return new t}))},t.constructors={},t}();function Qm(t,e,n,r,a,i,o,s,u){var l=new Ym,c=[new Xm].concat(Zm.createCallbacks(e));null!=t&&c.push.apply(c,t),c.push(l);var p=new Km(c);return p.setParams({epochs:n,initialEpoch:r,samples:a,steps:i,batchSize:o,verbose:e,doValidation:s,metrics:u}),{callbackList:p,history:l}}function tg(t,e,n){return void 0===e&&(e={}),void 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The model has "+this.outputs.length+" output(s), but you passed loss="+t.loss+".");var r=t.loss;n=r.map((function(t){return cg(t)}))}else{var a=cg(t.loss);this.outputs.forEach((function(t){n.push(a)}))}else{for(var i in t.loss=t.loss,t.loss)if(-1===this.outputNames.indexOf(i))throw new Lf('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o=0,s=this.outputNames;o<s.length;o++){var u=s[o];null==t.loss[u]&&console.warn('Output "'+u+'" is missing from loss dictionary. 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Expected an string,function, Array, or Object, found: "+t);n=t}if(Array.isArray(n))return e.map((function(t){return n}));for(var r=[],a=0,i=e;a<i.length;a++){var o=i[a],s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),r.push(s)}return r}(t.metrics,this.outputNames);kd("metric",(function(){for(var t=function(t){if(-1!==h.indexOf(t))return"continue";!function(n){for(var r,a,i,o=function(n){if("string"==typeof n&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(n)){var o=e.internalOutputShapes[t];1===o[o.length-1]||e.lossFunctions[t]===sg?-1!==["accuracy","acc"].indexOf(n)?a=pg:-1!==["crossentropy","ce"].indexOf(n)&&(a=mg):e.lossFunctions[t]===og?-1!==["accuracy","acc"].indexOf(n)?a=gg:-1!==["crossentropy","ce"].indexOf(n)&&(a=yg):-1!==["accuracy","acc"].indexOf(n)?a=hg:-1!==["crossentropy","ce"].indexOf(n)&&(a=vg);var s=void 0;-1!==["accuracy","acc"].indexOf(n)?s="acc":-1!==["crossentropy","ce"].indexOf(n)&&(s="ce"),i=a,r=""+s}else{var u=function(t){if("string"==typeof t&&t in bg)return bg[t];if("string"!=typeof t&&null!=t)return t;throw new Lf("Unknown metric "+t)}(n);i=u,r=""+xg(n)}var l;kd(r,(function(){l=i})),function(t,n,r){e.outputNames.length>1&&(n=e.outputNames[t]+"_"+n),e.metricsNames.push(n),e.metricsTensors.push([r,t])}(t,r,l)},s=0,u=n;s<u.length;s++)o(u[s])}(f[t])},n=0;n<e.outputs.length;++n)t(n)})),this.collectedTrainableWeights=this.trainableWeights},e.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. 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;qg(r);var a=this.standardizeUserDataXY(t,e,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return jf(this.testLoop(o,i,r,n.verbose,n.steps))}finally{Zg(a[0],t),Zg(a[1],e)}},e.prototype.evaluateDataset=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){return this.makeTestFunction(),[2,Gg(this,t,e)]}))}))},e.prototype.checkNumSamples=function(t,e,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=e)throw new Lf("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new Lf("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return a},e.prototype.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new Lf("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],a=this.retrieveSymbolicTensors(r),i=new Rg;if(t instanceof wt&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new Lf("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)i.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 Lf("No value is provided for the model's input "+l.name);i.add(l,c)}var p=_g(a,i);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=Wf(null,t.length),n=t.length,r=0,a=this.layers;r<a.length;r++){for(var i=a[r],o=Array.isArray(i.output)?i.output:[i.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 Lf("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return e},e.prototype.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),$e((function(){var a=r.checkNumSamples(t);if(n)throw new Bf("Verbose predictLoop() is not implemented yet.");for(var i=Xg(a,e),o=r.outputs.map((function(t){return[]})),s=function(e){$e((function(){var n=i[e][0],a=i[e][1],o=Hg(t,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new Rg(s);return _g(r.outputs,l)})).forEach((function(t,e){return o[e].push(t)}))},u=0;u<i.length;++u)s(u);return jf(o.map((function(t){return Kn(t,0)})))}))},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=$g(t);nv(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return qg(r),this.predictLoop(n,r)}finally{Zg(n,t)}},e.prototype.predictOnBatch=function(t){nv(t,this.inputNames,this.feedInputShapes,!0);var e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)},e.prototype.standardizeUserDataXY=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new zf("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===og?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(t,e,n){var r=Zf(t.map((function(t){return t.shape[0]})));r.sort();var a=Zf(e.map((function(t){return t.shape[0]})));if(a.sort(),r.length>1)throw new Lf("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(t){return t.shape}))));if(a.length>1)throw new Lf("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&&a.length>0&&!pt.arraysEqual(r,a))throw new Lf("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(t=ev(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=ev(e,this.feedOutputNames,a,!1,"target")),function(t,e,n){for(var r=[ng,sg,ig],a=0;a<t.length;++a){var i=t[a],o=e[a],s=n[a];if(null!=o){if(o===ig&&1===i.shape[i.shape.length-1])throw new Lf("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new Lf("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new Lf("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,a,i){return void 0===a&&(a=!0),Of(this,void 0,void 0,(function(){var o,s,u,l,c,p,h,f;return _f(this,(function(d){switch(d.label){case 0:if(o=this.standardizeUserDataXY(t,e,a,i),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=Lg(r,this.outputNames),l=[],p=0,d.label=1;case 1:return p<c.length?(f=(h=l).push,[4,Bg(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,a){var i=this;return void 0===r&&(r=0),$e((function(){var o=i.checkNumSamples(e,n,a,"steps"),s=[];if(r>0)throw new Bf("Verbose mode is not implemented yet.");if(null!=a)throw new Bf("steps mode in testLoop() is not implemented yet");for(var u=Xg(o,n),l=_n(Md(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=Bd(l,p,h-p),d=Kg(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(On(0));for(g=0;g<m.length;++g){var v=m[g];s[g]=Or(s[g],Ia(h-p,v))}}for(g=0;g<s.length;++g)s[g]=_a(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],a=r;Uf(t,r)>1&&(a+="_"+Uf(t.slice(0,n),r)),e.push(a)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=[],r=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),i=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 Rg(e),c=_g(t.outputs,l,{training:!0});for(s=0;s<t.lossFunctions.length;++s){var p=(0,t.lossFunctions[s])(a[s],c[s]);null!=i[s]&&(p=Pg(p,i[s]));var h=Ic(p);n.push(h),u=0===s?p:Or(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=Ic(d(a[m],c[m]))}Qe(f),o.push(f)}return u=Ic(u),t.calculateLosses().forEach((function(t){u=Or(u,t)})),u}),!0,s)].concat(o)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return $e((function(){for(var n,r=[],a=e.slice(0,t.inputs.length),i=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:a[s]});var u=new Rg(o),l=_g(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=Ic(c(i[s],l[s]));n=0===s?p:Or(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=Ic(h(i[f],l[f]));r.push(d)}return r}))}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),Of(this,void 0,void 0,(function(){return _f(this,(function(r){return[2,Jg(this,t,e,n)]}))}))},e.prototype.fitDataset=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){return[2,Ug(this,t,e)]}))}))},e.prototype.trainOnBatch=function(t,e){return Of(this,void 0,void 0,(function(){var n,r,a,i,o,s,u,l,c;return _f(this,(function(p){switch(p.label){case 0:return[4,this.standardizeUserData(t,e)];case 1:n=p.sent(),r=n[0],a=n[1],i=this.makeTrainFunction(),o=i(r.concat(a)),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 Ze(o),[2,jf(s)]}}))}))},e.prototype.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||e.push({name:r[i].originalName,tensor:a[i]});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=Ye().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Ye().numTensors}return e},e.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=qf(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 qf(t)}))}else{var r=Object.keys(this.loss);t={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");t[s]=qf(a[s])}}return t},e.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[qf(xg(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(t){return qf(xg(t))}));var t={};for(var e in this.metrics)t[e]=qf(xg(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=tg(Eg(t.optimizer_config));if("string"==typeof t.loss)e=Hf(t.loss);else if(Array.isArray(t.loss))e=t.loss.map((function(t){return Hf(t)}));else if(null!=t.loss)for(var a in e={},t.loss)e[a]=Hf(t.loss[a]);if(Array.isArray(t.metrics))n=t.metrics.map((function(t){return Hf(t)}));else if(null!=t.metrics)for(var a in n={},t.metrics)n[a]=Hf(t.metrics[a]);this.compile({loss:e,metrics:n,optimizer:r})},e.prototype.save=function(t,e){return Of(this,void 0,void 0,(function(){var n,r,a,i,o,s,u,l,c,p,h;return _f(this,(function(f){switch(f.label){case 0:if("string"==typeof t){if(0===(n=af.getSaveHandlers(t)).length)throw new Lf("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new Lf("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new Lf("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,af.encodeWeights(this.getNamedWeights(e))];case 1:return r=f.sent(),a=this.toJSON(null,!1),i={modelTopology:a,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v"+Tg,convertedBy:null},null!=e&&e.includeOptimizer&&null!=this.optimizer?(i.trainingConfig=this.getTrainingConfig(),o="optimizer",p=(c=af).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,p.apply(c,[f.sent(),o])];case 3:s=f.sent(),u=s.data,l=s.specs,(h=r.specs).push.apply(h,l),r.data=af.concatenateArrayBuffers([r.data,u]),f.label=4;case 4:return null!=this.userDefinedMetadata&&(wg(this.userDefinedMetadata,this.name,!0),i.userDefinedMetadata=this.userDefinedMetadata),i.weightData=r.data,i.weightSpecs=r.specs,[2,t.save(i)]}}))}))},e.prototype.setUserDefinedMetadata=function(t){wg(t,this.name),this.userDefinedMetadata=t},e.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},e.className="Model",e}(function(t){function e(n){var r=t.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=Sm(a)}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],Zf(r.inputs).length!==r.inputs.length)throw new Lf("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})));Zf(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map((function(t){return t.name}))),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[],r.internalContainerRefs=[];for(var i=0,o=r.outputs;i<o.length;i++){var s=(I=o[i]).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,Vf(0===u,"input layer has >1 nodes"),Vf(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 Um))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+h+" (0-based) originates from layer type "+s.getClassName()+".");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var f=0,d=r.outputLayers;f<d.length;f++)s=d[f],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map((function(t){return t.shape})),r.internalOutputShapes=r.outputs.map((function(t){return t.shape}));for(var m={},g={},v={},y={},b={},x=[],w=function(t,n,a,i,o,s){null!=i&&null!=o&&null!=s||(i=t.sourceLayer,o=t.nodeIndex,s=t.tensorIndex);var u=i.inboundNodes[o];if(-1!==a.indexOf(u))throw new zf("The tensor "+t.name+' at layer "'+i.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(i,o)),i.id in b||(b[i.id]=Object.keys(b).length),-1===a.indexOf(u)&&a.push(u);for(var l=u.inboundLayers.length,c=0;c<l;c++){var p=u.inputTensors[c],h=u.inboundLayers[c],f=u.nodeIndices[c],d=u.tensorIndices[c];w(p,n,a,h,f,d)}for(n.push(u);a.indexOf(u)>=0;)a.splice(a.indexOf(u),1);x.push(u)}},C=[],N=[],S=0,k=r.outputs;S<k.length;S++){var I=k[S];w(I,C,N)}for(var E=0,A=x.slice().reverse();E<A.length;E++){g[(J=A[E]).id]=J,J.id in m||(m[J.id]=0);var T=m[J.id],R=null==v[J.outboundLayer.id]?0:v[J.outboundLayer.id];for(T=Math.max(T,R),v[J.outboundLayer.id]=T,y[J.outboundLayer.id]=J.outboundLayer,m[J.id]=T,h=0;h<J.inboundLayers.length;h++){var D=J.inboundLayers[h],O=(u=J.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 F={};for(var M in m)(T=m[M])in F||(F[T]=[]),F[T].push(g[M]);var z={};for(var L in v)(T=v[L])in z||(z[T]=[]),z[T].push(y[L]);var B=Object.keys(z).map((function(t){return parseInt(t,10)})).sort($f);r.layers=[];for(var P=0,W=B;P<W.length;P++){var V=z[T=W[P]];V.sort((function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0}));for(var U=0,j=V;U<j.length;U++)(s=j[U])instanceof e&&r.internalContainerRefs.push(s),r.layers.push(s)}r.layersByDepth=z,B=Object.keys(F).map((function(t){return parseInt(t,10)})).sort($f);for(var G=r.inputs.slice(),q=[],H=0,K=B;H<K.length;H++)for(var X=0,Y=F[T=K[H]];X<Y.length;X++){var J;if(null!=(s=(J=Y[X]).outboundLayer)){for(var $=0,Z=J.inputTensors;$<Z.length;$++)if(I=Z[$],-1===G.indexOf(I))throw new zf("Graph disconnected: cannot obtain value for tensor "+I+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+q);for(var Q=0,tt=J.outputTensors;Q<tt.length;Q++)I=tt[Q],G.push(I);q.push(s.name)}}r.nodesByDepth=F;for(var et=r.layers.map((function(t){return t.name})),nt=function(t){var e=et.filter((function(e){return e===t})).length;if(1!==e)throw new zf('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(et))},rt=0,at=et;rt<at.length;rt++)nt(at[rt]);return r.outboundNodes=[],r.inboundNodes=[],new Lm({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 Tf(e,t),e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){this.assertNotDisposed();var t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var e=0,n=this.layers;e<n.length;e++){var r=n[e];t.numDisposedVariables+=r.dispose().numDisposedVariables}for(var a=0,i=this.internalContainerRefs;a<i.length;a++){var o=i[a];t.numDisposedVariables+=o.dispose().numDisposedVariables}}return t.refCountAfterDispose=this._refCount,t},Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.layers.forEach((function(e){e._trainableWeights.forEach((function(e){return e.trainable=t}))})),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new Lf("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 a=[],i=0,o=this.layers;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.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,a=0,i=this.layers;a<i.length;a++)for(var o=0,s=i[a].weights;o<s.length;o++){var u=s[o];if(null!=n[u.originalName])throw new Lf("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 Lf("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 Lf(p.length+" of "+r+" weights are not set: "+p)}_m(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers "+Tg,e.backend="TensorFlow.js",e},e.prototype.toJSON=function(t,e){void 0===e&&(e=!0);var n=Ag(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return $e((function(){t=Gf(t);for(var r=new Rg,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],t[a]);return _g(n.outputs,r,e)}))},e.prototype.computeMask=function(t,e){var n=this;return $e((function(){var r;return t=Gf(t),r=null==e?Wf(null,t.length):Gf(e),n.runInternalGraph(t,r)[1]}))},e.prototype.computeOutputShape=function(t){var e=Im(t);if(e.length!==this.inputLayers.length)throw new Lf("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var a=this.inputLayers[r],i=e[r];n[N=a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(t){return parseInt(t,10)})).sort($f);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(a=h.outboundLayer,-1===this.inputLayers.map((function(t){return t.id})).indexOf(a.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],v=h.tensorIndices[d],y=n[N=m.name+"_"+g+"_"+v];f.push(y)}var b=Im(a.computeOutputShape(jf(f))),x=a.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[N=a.name+"_"+x+"_"+d]=b[d]}}var w=[],C=[];for(r=0;r<this.outputLayers.length;r++){a=this.outputLayers[r],x=this.outputLayersNodeIndices[r],v=this.outputLayersTensorIndices[r];var N=a.name+"_"+x+"_"+v;C.push(N)}for(r=0;r<C.length;r++){var S=C[r];Vf(S in n),w.push(n[S])}return jf(w)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=Wf(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=t[r],o=e[r];n[a.id]=[i,o]}for(var s=0,u=Object.keys(this.nodesByDepth).map((function(t){return parseInt(t,10)})).sort($f);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++)(a=y[v]).id in n&&g.push(n[a.id]);if(g.length===d.length){var b={},x=void 0,w=void 0,C=void 0,N=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var S=g[0],k=S[0],I=S[1];null==b.mask&&(b.mask=I),C=Gf(f.call(k,b)),N=Gf(f.computeMask(k,I)),x=[k],w=[I]}else x=g.map((function(t){return t[0]})),w=g.map((function(t){return t[1]})),null==b.mask&&(b.mask=w),C=Gf(f.call(x,b)),N=Gf(f.computeMask(x,w));if(f.activityRegularizer)throw new Bf("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)a=m[r],i=C[r],o=N[r],n[a.id]=[i,o]}}for(var E=[],A=[],T=[],R=0,D=this.outputs;R<D.length;R++){Vf((a=D[R]).id in n,"Could not compute output "+a.name+" : "+a.id);var O=n[a.id],_=O[0];o=O[1],T.push(_.shape),E.push(_),A.push(o)}return[E,A,T]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},a=0,i=this.layers;a<i.length;a++){var o=i[a];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 Lf("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 Lf("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var a=r[n];if(a.name===t)return a}throw new Lf("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return $e((function(){for(var n=[],r=0,a=t.layers;r<a.length;r++)for(var i=a[r],o=0;o<i.inboundNodes.length;++o){var s=e.nodeKey(i,o);t.containerNodes.has(s)&&n.push.apply(n,i.calculateLosses())}return n}))},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],a=0,i=this.layers;a<i.length;a++){for(var o=(x=i[a]).getClassName(),s=x.getConfig(),u=[],l=0;l<x.inboundNodes.length;l++){var c=x.inboundNodes[l],p=e.nodeKey(x,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+x.name+" was passed non-serializable keyword arguments: "+c.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),h={}}if(c.inboundLayers.length>0){for(var f=[],d=0;d<c.inboundLayers.length;d++){var m=c.inboundLayers[d],g=c.nodeIndices[d],v=c.tensorIndices[d];null==(C=n[e.nodeKey(m,g)])&&(C=0),f.push([m.name,C,v,h])}u.push(f)}}}var y={};y.name=x.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var x=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p)&&(null!==(C=n[p])&&void 0!==C||(C=0),v=this.inputLayersTensorIndices[d],b.push([x.name,C,v]))}t.inputLayers=b;var w=[];for(d=0;d<this.outputLayers.length;d++){var C;x=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p)&&(null!==(C=n[p])&&void 0!==C||(C=0),v=this.outputLayersTensorIndices[d],w.push([x.name,C,v]))}return t.outputLayers=w,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var a={},i={};function o(t,e){t.name in i?i[t.name].push(e):i[t.name]=[e]}function s(t,e){for(var n,r=[],i=0,s=e;i<s.length;i++){var u=s[i],l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in a))return void o(t,e);var h=a[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(jf(r),n)}function u(t){var n=t.name,i=tg(t,null!=e.customObjects?e.customObjects:{});i.setFastWeightInitDuringBuild(r),a[n]=i,t.inboundNodes.forEach((function(t){if(!(t instanceof Array))throw new Lf("Corrupted configuration, expected array for nodeData: "+t);o(i,t)}))}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!Qf(i);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((T=a[m.name]).name in i){var g=i[T.name];delete i[T.name];for(var v=0,y=g;v<y.length;v++)s(T,y[v])}}for(var b=[],x=[],w=0,C=e.inputLayers;w<C.length;w++){var N=(m=C[w])[0],S=m[1],k=m[2];Vf(N in a);var I=(T=a[N]).inboundNodes[S].outputTensors;b.push(I[k])}for(var E=0,A=e.outputLayers;E<A.length;E++){var T;N=(m=A[E])[0],S=m[1],k=m[2],Vf(N in a),I=(T=a[N]).inboundNodes[S].outputTensors,x.push(I[k])}return new t({inputs:b,outputs:x,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new Lf("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var t=0,e=this.layers;t<e.length;t++)if(e[t].stateful)return!0;return!1},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){var t=this;$e((function(){t.layers.forEach((function(t){t.stateful&&t.resetStates()}))}))},e}(Pm));function av(t,e,n){return Of(this,void 0,void 0,(function(){var r,a,i,o,s,u,l,c,p;return _f(this,(function(h){switch(h.label){case 0:if(null==n&&(n={}),null==t.load)throw new Lf("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!=(a=r.modelTopology).model_config&&(a=a.model_config),i=null==n.strict||n.strict,o=null!=r.weightData&&null!=r.weightSpecs&&i,s=tg(Eg(a),e,o),null!=(u=r.trainingConfig)&&s.loadTrainingConfig(u),null!=r.userDefinedMetadata&&s.setUserDefinedMetadata(r.userDefinedMetadata),null==r.weightData)return[3,4];if(null==r.weightSpecs)throw new Lf("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return l=function(t,e){var n=af.decodeWeights(t,e),r={},a=[];return e.forEach((function(t){"optimizer"===t.group?a.push({name:t.name,tensor:n[t.name]}):r[t.name]=n[t.name]})),{modelWeights:r,optimizerWeights:a}}(r.weightData,r.weightSpecs),c=l.modelWeights,p=l.optimizerWeights,s.loadWeights(c,i),null!=s.optimizer&&p.length>0?[4,s.optimizer.setWeights(p)]:[3,3];case 2:h.sent(),h.label=3;case 3:Ze(c),Ze(p.map((function(t){return t.tensor}))),h.label=4;case 4:return[2,s]}}))}))}ff.registerClass(rv);var iv=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:Sm("sequential_"),null!=e.layers)for(var r=0,a=e.layers;r<a.length;r++){var i=a[r];n.add(i)}return n}return Tf(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some((function(t){return t<0})))throw new Lf("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 rv;if(r){if(1!==(n=t).outputs.length)throw new Lf("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 Lf("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 Lf("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=jm({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new Lf("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 Lf("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=Wm(this.outputs[0])}this.inboundNodes=[],new Lm({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Wf(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(t){return t.shape})),outputShapes:this.outputs[0].shape})}else{var i=t.apply(this.outputs[0]);if(Array.isArray(i))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[i],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(Am(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 rv({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 zf("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){if(!this.built)throw new zf("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={}),Of(this,void 0,void 0,(function(){return _f(this,(function(r){if(!this.built)throw new zf("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]}))}))},e.prototype.fitDataset=function(t,e){return Of(this,void 0,void 0,(function(){return _f(this,(function(n){if(!this.built)throw new zf("The model needs to be compiled before being 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cv(t,e){Zm.registerCallbackConstructor(t,e)}ff.registerClass(iv);var pv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.getConfig=function(){return{}},e}(ff.Serializable),hv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(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 Bf("Support for alpha values other than 1 ("+e+") is not implemented yet.");return Dc(t)}(t,e)},e.className="elu",e}(pv);ff.registerClass(hv);var fv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return zc(t)},e.className="selu",e}(pv);ff.registerClass(fv);var dv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return Fc(t)},e.className="relu",e}(pv);ff.registerClass(dv);var mv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return $e((function(){return Ca(6,Fc(t))}))},e.className="relu6",e}(pv);ff.registerClass(mv);var gv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(pv);ff.registerClass(gv);var vv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return aa(t)},e.className="sigmoid",e}(pv);ff.registerClass(vv);var yv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return function(t){return $e((function(){var e=Or(.5,Ia(.2,t));return Gr(e,0,1)}))}(t)},e.className="hardSigmoid",e}(pv);ff.registerClass(yv);var bv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return pa(t)},e.className="softplus",e}(pv);ff.registerClass(bv);var xv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return function(t){return $e((function(){return _a(t,zr(t).add(1))}))}(t)},e.className="softsign",e}(pv);ff.registerClass(xv);var wv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t){return ma(t)},e.className="tanh",e}(pv);ff.registerClass(wv);var Cv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),ni(t,e)},e.className="softmax",e}(pv);ff.registerClass(Cv);var Nv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),ri(t,e)},e.className="logSoftmax",e}(pv);function Sv(t){return t.getClassName()}function kv(t,e){return void 0===e&&(e={}),Jf(t,ff.SerializationMap.getMap().classNameMap,e,"activation")}function Iv(t){var e;return null==t?kv(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},kv(e)):t instanceof pv?t:kv(t)}function Ev(t){if(null!=t&&"object"!=typeof t)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+t)}ff.registerClass(Nv);var Av=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e}(ff.Serializable),Tv=function(t){function e(e){var n=t.call(this)||this;return Ev(e),n.l1=null==e||null==e.l1?.01:e.l1,n.l2=null==e||null==e.l2?.01:e.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}return Tf(e,t),e.prototype.apply=function(t){var e=this;return $e((function(){var n=Vn([1]);return e.hasL1&&(n=Or(n,Tc(Ia(e.l1,zr(t))))),e.hasL2&&(n=Or(n,Tc(Ia(e.l2,Kd(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}(Av);ff.registerClass(Tv);var Rv={l1l2:"L1L2"};function Dv(t){return Xf(t)}function Ov(t,e){return void 0===e&&(e={}),Jf(t,ff.SerializationMap.getMap().classNameMap,e,"regularizer")}function _v(t){return null==t?null:"string"==typeof t?Ov({className:t in Rv?Rv[t]:t,config:{}}):t instanceof Av?t:Ov(t)}var Fv=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 Tf(e,t),e.prototype.call=function(t,e){t=Em(t);var n=Fc(t);return null!=this.maxValue&&(n=Gr(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}(Pm);ff.registerClass(Fv);var Mv=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 Tf(e,t),e.prototype.call=function(t,e){var n=Em(t);return Oc(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}(Pm);ff.registerClass(Mv);var zv=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=bm(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=_v(e.alphaRegularizer),n.alphaConstraint=dd(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 Lf("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return Tf(e,t),e.prototype.build=function(t){var e=(t=Am(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(i=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<t.length;++i)a[i]=t[i];this.inputSpec=[new Fm({ndim:t.length,axes:a})],this.built=!0},e.prototype.call=function(t,e){return t=Em(t),_c(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:ym(this.alphaInitializer),alphaRegularizer:Dv(this.alphaRegularizer),alphaConstraint:hd(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(Pm);ff.registerClass(zv);var Lv=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 Bf("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 Tf(e,t),e.prototype.call=function(t,e){var n=Em(t);return Dc(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}(Pm);ff.registerClass(Lv);var Bv=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 Tf(e,t),e.prototype.call=function(t,e){var n=Em(t);return n.mul(zd(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}(Pm);ff.registerClass(Bv);var Pv=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 Cv).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return Tf(e,t),e.prototype.call=function(t,e){var n=Em(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}(Pm);function Wv(t,e,n){if("number"==typeof t)return Wf(t,e);if(t.length!==e)throw new Lf("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var a=t[r];if(!Rd(a))throw new Lf("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+a)}return t}function Vv(t,e,n,r,a){return void 0===a&&(a=1),null==t?t:(i="same"===n?t:t-(e+(e-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function Uv(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+Fd([n-e,0]);else{if("same"!==r)throw new Lf("Unsupport padding mode: "+r+".");t*=e}return t}function jv(t,e){return $e((function(){return wd(e),"channelsFirst"===e?ai(t,[0,2,3,1]):t}))}function Gv(t,e){return $e((function(){return wd(e),"channelsFirst"===e?ai(t,[0,2,3,4,1]):t}))}function qv(t,e,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),$e((function(){if(null==i&&(i="channelsLast"),wd(i),3!==t.rank&&4!==t.rank)throw new Lf("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new Lf("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+t.rank+".");var u=jv(t,i);if("causal"===a)throw new Bf("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Lp.conv2d({x:u,filter:e,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=ai(u,[0,3,1,2])),u}))}ff.registerClass(Pv);var Hv=function(t){function e(n,r){var a=t.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),a.rank=n,nd(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new Bf("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=Wv(r.kernelSize,n,"kernelSize"),a.strides=Wv(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,Cd(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,wd(a.dataFormat),a.activation=Iv(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=bm(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=dd(r.biasConstraint),a.biasRegularizer=_v(r.biasRegularizer),a.activityRegularizer=_v(r.activityRegularizer),a.dilationRate=Wv(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new Lf("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new Lf("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new Lf("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Tf(e,t),e.verifyArgs=function(t){if(Vf("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!ed(t.kernelSize,"number",1,3))throw new Lf("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:Sv(this.activation),useBias:this.useBias,biasInitializer:ym(this.biasInitializer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),biasConstraint:hd(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Pm),Kv=function(t){function e(n,r){var a=t.call(this,n,r)||this;return a.kernel=null,e.verifyArgs(r),a.filters=r.filters,nd(a.filters,"filters"),a.kernelInitializer=bm(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=dd(r.kernelConstraint),a.kernelRegularizer=_v(r.kernelRegularizer),a}return Tf(e,t),e.prototype.build=function(t){var e;t=Am(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new Lf("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var e;t=Em(t);var r=null==n.bias?null:n.bias.read(),a=ad(n.activation.getClassName());if(null!=a&&2===n.rank)e=qv(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)e=function(t,e,n,r,a,i,o){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===o&&(o=1),$e((function(){if(null==i&&(i="channelsLast"),wd(i),3!==t.shape.length)throw new Lf("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new Lf("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new Lf("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===i&&(t=ai(t,[0,2,1])),"causal"===a)throw new Bf("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=Vl(t,e,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=Yd(s,n)),s}))}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=qv(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new Bf("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),$e((function(){if(null==i&&(i="channelsLast"),wd(i),4!==t.rank&&5!==t.rank)throw new Lf("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new Lf("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var s=Gv(t,i);if("causal"===a)throw new Bf("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=jl(s,e,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=Yd(s,n)),"channelsFirst"===i&&(s=ai(s,[0,4,1,2,3])),s}))}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(e=n.activation.apply(e))}return e}))},e.prototype.computeOutputShape=function(t){t=Am(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var a=Vv(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(a)}var i=[t[0]];return"channelsLast"===this.dataFormat?(i=i.concat(e)).push(this.filters):(i.push(this.filters),i=i.concat(e)),i},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:ym(this.kernelInitializer),kernelRegularizer:Dv(this.kernelRegularizer),kernelConstraint:hd(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 Lf("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(Hv),Xv=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return Tf(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&&!ed(t.kernelSize,"number",1,2))throw new Lf("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(Kv);ff.registerClass(Xv);var Yv=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return Tf(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 Lf("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(Kv);ff.registerClass(Yv);var Jv=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new Fm({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new Lf("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return Tf(e,t),e.prototype.build=function(t){var e;if(4!==(t=Am(t)).length)throw new Lf("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 Lf("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new Fm({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var e=Em(t);if(4!==e.shape.length)throw new Lf("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,a,i=e.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,Uv(s,p,l,n.padding),Uv(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=ai(e,[0,2,3,1]));var d=Jl(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=ai(d,[0,3,1,2])),null!=n.bias&&(d=Yd(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},e.prototype.computeOutputShape=function(t){var e,n,r,a=(t=Am(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[e]=this.filters,a[n]=Uv(a[n],s,i,this.padding),a[r]=Uv(a[r],u,o,this.padding),a},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(Xv);ff.registerClass(Jv);var $v=function(t){function e(e){return t.call(this,2,e)||this}return Tf(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 Lf("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new Lf("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 Lf("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=bm(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=_v(n.depthwiseRegularizer),r.depthwiseConstraint=dd(n.depthwiseConstraint),r.pointwiseInitializer=bm(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=_v(n.pointwiseRegularizer),r.pointwiseConstraint=dd(n.pointwiseConstraint),r}return Tf(e,t),e.prototype.build=function(t){var e;if((t=Am(t)).length<this.rank+2)throw new Lf("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 Lf("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"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 Fm({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var e;if(t=Em(t),1===n.rank)throw new Bf("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=ai(t,[0,2,3,1])),e=Yl(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=Yd(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=ai(e,[0,3,1,2])),e}))},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=ym(this.depthwiseInitializer),e.pointwiseInitializer=ym(this.pointwiseInitializer),e.depthwiseRegularizer=Dv(this.depthwiseRegularizer),e.pointwiseRegularizer=Dv(this.pointwiseRegularizer),e.depthwiseConstraint=hd(this.depthwiseConstraint),e.pointwiseConstraint=hd(this.pointwiseConstraint),e},e.className="SeparableConv",e}(Kv));ff.registerClass($v);var Zv=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Tf(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&&!ed(t.kernelSize,"number",1,1))throw new Lf("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(Kv);ff.registerClass(Zv);var Qv=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 Tf(e,t),e.prototype.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},e.prototype.call=function(t,e){var n=this;return $e((function(){return t=Em(t),"channelsLast"===n.dataFormat?Wd(Wd(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):Wd(Wd(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}(Pm);ff.registerClass(Qv);var ty=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 Tf(e,t),e.prototype.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}return e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2],[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return $e((function(){var e=Em(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=ai(e,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o=e.resizeNearestNeighbor([a,i]);return ai(o,[0,3,1,2])}return a=n.size[0]*r[1],i=n.size[1]*r[2],e.resizeNearestNeighbor([a,i])}))},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}(Pm);ff.registerClass(ty);var ey=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=bm(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=dd(e.depthwiseConstraint),n.depthwiseRegularizer=_v(e.depthwiseRegularizer),n}return Tf(e,t),e.prototype.build=function(t){if((t=Am(t)).length<4)throw new Lf("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 Lf("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var e=function(t,e,n,r,a,i){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),$e((function(){null==a&&(a="channelsLast"),wd(a);var i=jv(t,a);if(4!==t.rank)throw new Lf("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new Lf("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return i=Hl(i,e,n,"same"===r?"same":"valid","NHWC",null),"channelsFirst"===a&&(i=ai(i,[0,3,1,2])),i}))}(t=Em(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(e=Yd(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e}))},e.prototype.computeOutputShape=function(t){t=Am(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,a=Vv(e,this.kernelSize[0],this.padding,this.strides[0]),i=Vv(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,a,i]:[t[0],a,i,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=ym(this.depthwiseInitializer),e.depthwiseRegularizer=Dv(this.depthwiseRegularizer),e.depthwiseConstraint=hd(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(Hv);ff.registerClass(ey);var ny=function(t){function e(e){var n=t.call(this,e)||this;return n.rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,n.supportsMasking=!0,n}return Tf(e,t),e.prototype.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);if(0<n.rate&&n.rate<1){var a=null!=e.training&&e.training,i=n.getNoiseShape(r);return $d((function(){return Jd(r,n.rate,i,n.seed)}),(function(){return r}),a)}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}(Pm);ff.registerClass(ny);var ry=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[{ndim:3}],n}return Tf(e,t),e.prototype.getNoiseShape=function(t){var e=t.shape;return[e[0],1,e[2]]},e.className="SpatialDropout1D",e}(ny);ff.registerClass(ry);var ay=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,nd(n.units,"units"),n.activation=Iv(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=bm(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=bm(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=dd(e.kernelConstraint),n.biasConstraint=dd(e.biasConstraint),n.kernelRegularizer=_v(e.kernelRegularizer),n.biasRegularizer=_v(e.biasRegularizer),n.activityRegularizer=_v(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return Tf(e,t),e.prototype.build=function(t){var e,n=(t=Am(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=Am(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r,a=Em(t),i=ad(n.activation.getClassName());return null!=i?r=qd(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=qd(a,n.kernel.read()),null!=n.bias&&(r=Yd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},e.prototype.getConfig=function(){var e={units:this.units,activation:Sv(this.activation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),biasInitializer:ym(this.biasInitializer),kernelRegularizer:Dv(this.kernelRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),biasConstraint:hd(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(Pm);ff.registerClass(ay);var iy=function(t){function e(e){var n=this;return e=e||{},(n=t.call(this,e)||this).inputSpec=[{minNDim:3}],n.dataFormat=e.dataFormat,n}return Tf(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=Am(t)).slice(1);e<n.length;e++)if(null==n[e])throw new Lf('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],Dd(t,1)]},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=r.transpose(a)}return function(t){if(t.rank<=1)throw new Lf("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],Dd(t.shape,1)];return t.reshape(e)}(r)}))},e.prototype.getConfig=function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Flatten",e}(Pm);ff.registerClass(iy);var oy=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=Iv(e.activation),n}return Tf(e,t),e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);return n.activation.apply(r)}))},e.prototype.getConfig=function(){var e={activation:Sv(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(Pm);ff.registerClass(oy);var sy=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return $e((function(){return function(t,e){return $e((function(){if(2!==t.shape.length)throw new Lf("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return jd(Ld(t,1),[1,e,1])}))}(t=Em(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}(Pm);ff.registerClass(sy);var uy=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 Tf(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(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new Lf("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=Dd(t);if(null!==i){if(0===a||u%a!=0)throw new Lf(n);r[i]=u/a}else if(u!==a)throw new Lf(n);return r},e.prototype.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)}))},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}(Pm);ff.registerClass(uy);var ly=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=Md(1,e.dims.length+1);if(!pt.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 Fm({ndim:n.dims.length+1})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){var e=(t=Am(t)).slice();return this.dims.forEach((function(n,r){e[r+1]=t[n]})),e},e.prototype.call=function(t,e){return ai(Em(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}(Pm);ff.registerClass(ly);var cy=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 Tf(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=Em(t);return wc(Dl(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t),a=wc(Dl(r,n.maskValue),-1,!0);return r.mul(a.asType(r.dtype))}))},e.className="Masking",e}(Pm);ff.registerClass(cy);var py=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(Gf(e.inputLength))}return n.inputDim=e.inputDim,nd(n.inputDim,"inputDim"),n.outputDim=e.outputDim,nd(n.outputDim,"outputDim"),n.embeddingsInitializer=bm(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=_v(e.embeddingsRegularizer),n.activityRegularizer=_v(e.activityRegularizer),n.embeddingsConstraint=dd(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return Tf(e,t),e.prototype.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},e.prototype.warnOnIncompatibleInputShape=function(t){},e.prototype.computeMask=function(t,e){var n=this;return $e((function(){return n.maskZero?(t=Em(t),Dl(t,Hn(t))):null}))},e.prototype.computeOutputShape=function(t){if(t=Am(t),null==this.inputLength)return t.concat([this.outputDim]);var e=Gf(this.inputLength);if(e.length!==t.length-1)throw new Lf('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var a=e[r],i=t[r+1];if(null!=a&&null!=i&&a!==i)throw new Lf('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==a&&(e[n]=i),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);return"int32"!==r.dtype&&(r=zd(r,"int32")),Hd(n.embeddings.read(),r.as1D()).reshape(Am(n.computeOutputShape(r.shape)))}))},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ym(this.embeddingsInitializer),embeddingsRegularizer:Dv(this.embeddingsRegularizer),activityRegularizer:Dv(this.activityRegularizer),embeddingsConstraint:hd(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(Pm);ff.registerClass(py);var hy=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return Tf(e,t),e.prototype.mergeFunction=function(t){throw new Bf},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 a=t[t.length-e.length+r],i=e[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new Lf("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(a)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[Am(t)]),(t=t).length<2)throw new Lf("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=Zf(e)).length>1)throw new Lf("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var a=null==t[0]?null:t[0].slice(1),i=1;i<t.length;++i){var o=null==t[i]?null:t[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=t.map((function(t){return t.length}));-1===t.indexOf(null)&&1===Zf(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){if(t=t,n.reshapeRequired){var e=[],r=t.map((function(t){return t.rank}));if(-1===r.indexOf(null)){for(var a=Fd(r),i=0,o=t;i<o.length;i++){for(var s=(h=o[i]).rank,u=0;u<a-s;++u)h=Ld(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(Dd(f.slice(1))));g=(g=ai(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var v=Md(1,s).concat([0]);e.push(ai(h,v)),l=!0}else e.push(h)}var y=n.mergeFunction(e),b=y.rank;if(l)if(null==b){var x=y.shape;m=[d=x[x.length-1]].concat(x.slice(0,x.length-1)),y=ai(y.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(v=[b-1].concat(Md(0,b-1)),y=ai(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 a=[],i=0,o=t;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=Zf(a)).length?a.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return $e((function(){if(null==e)return null;if(!Array.isArray(e))throw new Lf("`mask` should be an Array");if(!Array.isArray(t))throw new Lf("`inputs` should be an Array");if(e.length!==t.length)throw new Lf("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:ir(t,0)})))[0],r=1;r<e.length-1;++r)n=qu(n,e[r]);return n}))},e}(Pm),fy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.mergeFunction=function(t){return $e((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Or(e,t[n]);return e}))},e.className="Add",e}(hy);ff.registerClass(fy);var dy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.mergeFunction=function(t){return $e((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Ia(e,t[n]);return e}))},e.className="Multiply",e}(hy);ff.registerClass(dy);var my=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.mergeFunction=function(t){return $e((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Or(e,t[n]);return Ia(1/t.length,e)}))},e.className="Average",e}(hy);ff.registerClass(my);var gy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.mergeFunction=function(t){return $e((function(){for(var e=t[0],n=1;n<t.length;++n)e=xa(e,t[n]);return e}))},e.className="Maximum",e}(hy);ff.registerClass(gy);var vy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.mergeFunction=function(t){return $e((function(){for(var e=t[0],n=1;n<t.length;++n)e=Ca(e,t[n]);return e}))},e.className="Minimum",e}(hy);ff.registerClass(vy);var yy=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 Tf(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new Lf("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 a=[],i=0;i<t.length;++i){var o=t[i].slice();o.splice(this.axis,1);for(var s=!1,u=0,l=a;u<l.length;u++){var c=l[u];if(pt.arraysEqual(c,o)){s=!0;break}}s||a.push(o)}if(a.length>1)throw new Lf("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}},e.prototype.mergeFunction=function(t){var e=this;return $e((function(){return Vd(t,e.axis)}))},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new Lf("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,a=0,i=e.slice(1);a<i.length;a++){var o=i[a];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 Lf("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new Lf("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new Lf("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return $e((function(){var r=!0;if(e.forEach((function(t){null==t||(r=!1)})),r)return null;for(var a=[],i=0;i<t.length;++i)null==e[i]?a.push(qn(t[i]).asType("bool")):e[i].rank<t[i].rank?a.push(ir(e[i],-1)):a.push(e[i]);var o=Kn(a,n.axis);return xc(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}(hy);function by(t,e){for(;t<0;)t+=e;return t}ff.registerClass(yy);var xy=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 Tf(e,t),e.prototype.build=function(t){pt.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 Bf("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 Lf("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new Lf("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 by(e,t[n].shape.length)})):[by(this.axes,n.shape.length),by(this.axes,r.shape.length)],this.normalize&&(n=eg(n,e[0]),r=eg(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new Bf("batchDot is not implemented for tensors of 4D or higher rank yet");if(pt.assert(t.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length})),pt.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 Bf("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,a=e.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return $e((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(a>r){for(n=a-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=i[0]===i[1]?t.mulStrict(e).sum(i[0]):t.transpose([1,0]).mulStrict(e).sum(i[1]);else{var l=i[0]!==t.shape.length-1,c=i[1]===e.shape.length-1;o=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>a?r+a-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:[by(this.axes,t.length),by(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){pt.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 Bf("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 a=e.concat(n);return 1===a.length&&a.push(1),a},e.prototype.computeMask=function(t,e){return null},e.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dot",e}(hy);ff.registerClass(xy);var wy=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return Tf(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);return $d((function(){return Gd(r.shape,0,n.stddev).add(r)}),(function(){return r}),e.training||!1)}))},e.className="GaussianNoise",e}(Pm);ff.registerClass(wy);var Cy=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return Tf(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e);var r=Em(t);return n.rate>0&&n.rate<1?$d((function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(Gd(r.shape,1,t))}),(function(){return r}),e.training||!1):r}))},e.className="GaussianDropout",e}(Pm);ff.registerClass(Cy);var Ny=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 Tf(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||Em(t).shape},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return $e((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(t);return $d((function(){var e=Em(t),a=-1.7580993408473766,i=Sl(vl(r),n.rate);i=zd(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return e.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)}),(function(){return Em(t)}),e.training||!1)}return t}))},e.className="AlphaDropout",e}(Pm);function Sy(t,e,n,r,a,i){var o;if(void 0===i&&(i=.001),2===t.rank)o=zu(t,e,n,r,a,i);else if(3===t.rank)o=Pu(t,e,n,r,a,i);else{if(4!==t.rank)throw new Bf("batchNormalization is not implemented for array of rank "+t.rank+" yet");o=Uu(t,e,n,r,a,i)}return o}ff.registerClass(Ny);var ky=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=bm(e.betaInitializer||"zeros"),n.gammaInitializer=bm(e.gammaInitializer||"ones"),n.movingMeanInitializer=bm(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=bm(e.movingVarianceInitializer||"ones"),n.betaConstraint=dd(e.betaConstraint),n.gammaConstraint=dd(e.gammaConstraint),n.betaRegularizer=_v(e.betaRegularizer),n.gammaRegularizer=_v(e.gammaRegularizer),n}return Tf(e,t),e.prototype.build=function(t){var e;t=Am(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new Lf("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new Fm({ndim:t.length,axes:(e={},e[n]=r,e)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var r=null!=e.training&&e.training,a=Em(t),i=a.shape,o=i.length,s=Md(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=Wf(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!pt.arraysEqual(c,Md(0,o).slice(0,o-1));if(!r)return function(){if(p){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return Sy(a,t,e,r,i,n.epsilon)}return Sy(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(t,e,n,r,a){return void 0===a&&(a=.001),pt.arraysEqual(r.slice().sort(),Md(0,t.rank-1))?function(t,e,n,r,a){return void 0===a&&(a=.001),$e((function(){var i=Ac(t,r),o=i.mean,s=i.variance;return[Sy(t,o,s,n,e,a),o,s]}))}(t,e,n,r,a):function(t,e,n,r,a){return void 0===a&&(a=.001),$e((function(){for(var i=Ac(t,r),o=i.mean,s=i.variance,u=[],l=0,c=Md(0,t.rank);l<c.length;l++){var p=c[l];-1!==r.indexOf(p)?u.push(1):u.push(t.shape[p])}var h=o.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[Sy(t,h,f,m,d,a),o,s]}))}(t,e,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){$e((function(){var r=1-n,a=t.read(),i=a.sub(e).mul(r);t.write(a.sub(i))}))};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:ym(this.betaInitializer),gammaInitializer:ym(this.gammaInitializer),movingMeanInitializer:ym(this.movingMeanInitializer),movingVarianceInitializer:ym(this.movingVarianceInitializer),betaRegularizer:Dv(this.betaRegularizer),gammaRegularizer:Dv(this.gammaRegularizer),betaConstraint:hd(this.betaConstraint),gammaConstraint:hd(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(Pm);ff.registerClass(ky);var Iy=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).axis=null==e.axis?-1:e.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r=0,a=n.axis;r<a.length;r++){var i=a[r];if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=bm(e.betaInitializer||"zeros"),n.gammaInitializer=bm(e.gammaInitializer||"ones"),n.betaRegularizer=_v(e.betaRegularizer),n.gammaRegularizer=_v(e.gammaRegularizer),n.supportsMasking=!0,n}return Tf(e,t),e.prototype.build=function(t){var e=(t=Am(t)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=e);for(var r=0,a=this.axis;r<a.length;r++){var i=a[r];if(i<0||i>=e)throw new Error("Invalid axis: "+i)}if(this.axis.length!==Zf(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(e){return t[e]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},e.prototype.call=function(t,e){var n=this,r=Em(t),a=r.shape,i=a.length;return $e((function(){for(var t=Ac(r,n.axis,!0),e=t.mean,o=t.variance,s=Wf(1,i),u=0,l=n.axis;u<l.length;u++){var c=l[u];s[c]=a[c]}for(var p=function(t){return null!=t&&t.shape.length!==i&&n.axis!==[i-1]?t.reshape(s):t},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],g=0;g<i;++g)-1!==n.axis.indexOf(g)?(d.push(a[g]),m.push(1)):(d.push(1),m.push(a[g]));return e=e.tile(d),o=o.tile(d),h=h.tile(m),f=f.tile(m),Sy(r,e,o,f,h,n.epsilon)}))},e.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ym(this.betaInitializer),gammaInitializer:ym(this.gammaInitializer),betaRegularizer:Dv(this.betaRegularizer),gammaRegularizer:Dv(this.gammaRegularizer)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LayerNormalization",e}(Pm);ff.registerClass(Iy);var Ey=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 Lf("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new Lf("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 Lf("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");a=e.padding[1]}n.padding=[r,a]}return n.inputSpec=[new Fm({ndim:4})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=Am(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},e.prototype.call=function(t,e){var n=this;return $e((function(){return function(t,e,n){return $e((function(){if(4!==t.rank)throw new Lf("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 Lf("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 Lf("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]],nl(t,r)}))}(Em(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}(Pm);function Ay(t,e,n,r,a,i){return $e((function(){var o;wd(a),Nd(i),Cd(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=jv(t,a);var s="same"===r?"same":"valid";return o="max"===i?uc(t,e,n,s):lc(t,e,n,s),"channelsFirst"===a&&(o=ai(o,[0,3,1,2])),o}))}function Ty(t,e,n,r,a,i){return $e((function(){var o;wd(a),Nd(i),Cd(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=Gv(t,a);var s="same"===r?"same":"valid";return o="max"===i?pc(t,e,n,s):hc(t,e,n,s),"channelsFirst"===a&&(o=ai(o,[0,4,1,2,3])),o}))}ff.registerClass(Ey);var Ry=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 Lf("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(nd(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 Lf("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 nd(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,Cd(n.padding),n.inputSpec=[new Fm({ndim:3})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){var e=Vv((t=Am(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},e.prototype.call=function(t,e){var n=this;return $e((function(){n.invokeCallHook(t,e),t=Ld(Em(t),2);var r=n.poolingFunction(Em(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return ur(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}(Pm),Dy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ay(t,e,n,r,a,"max")},e.className="MaxPooling1D",e}(Ry);ff.registerClass(Dy);var Oy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ay(t,e,n,r,a,"avg")},e.className="AveragePooling1D",e}(Ry);ff.registerClass(Oy);var _y=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 Lf("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 nd(n.poolSize,"poolSize"),nd(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,wd(n.dataFormat),Cd(n.padding),n.inputSpec=[new Fm({ndim:4})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){t=Am(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=Vv(e,this.poolSize[0],this.padding,this.strides[0]),n=Vv(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return $e((function(){return n.invokeCallHook(t,e),n.poolingFunction(Em(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}(Pm),Fy=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ay(t,e,n,r,a,"max")},e.className="MaxPooling2D",e}(_y);ff.registerClass(Fy);var My=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ay(t,e,n,r,a,"avg")},e.className="AveragePooling2D",e}(_y);ff.registerClass(My);var zy=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new Lf("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides,e.strides];return nd(n.poolSize,"poolSize"),nd(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,wd(n.dataFormat),Cd(n.padding),n.inputSpec=[new Fm({ndim:5})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){t=Am(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=Vv(e,this.poolSize[0],this.padding,this.strides[0]),n=Vv(n,this.poolSize[1],this.padding,this.strides[1]),r=Vv(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]},e.prototype.call=function(t,e){var n=this;return $e((function(){return n.invokeCallHook(t,e),n.poolingFunction(Em(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}(Pm),Ly=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ty(t,e,n,r,a,"max")},e.className="MaxPooling3D",e}(zy);ff.registerClass(Ly);var By=function(t){function e(e){return t.call(this,e)||this}return Tf(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return wd(a),Cd(r),Ty(t,e,n,r,a,"avg")},e.className="AveragePooling3D",e}(zy);ff.registerClass(By);var Py=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new Fm({ndim:3})],n}return Tf(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new Bf},e}(Pm),Wy=function(t){function e(e){return t.call(this,e||{})||this}return Tf(e,t),e.prototype.call=function(t,e){return $e((function(){var e=Em(t);return Ic(e,1)}))},e.className="GlobalAveragePooling1D",e}(Py);ff.registerClass(Wy);var Vy=function(t){function e(e){return t.call(this,e||{})||this}return Tf(e,t),e.prototype.call=function(t,e){return $e((function(){var e=Em(t);return kc(e,1)}))},e.className="GlobalMaxPooling1D",e}(Py);ff.registerClass(Vy);var Uy=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,wd(n.dataFormat),n.inputSpec=[new Fm({ndim:4})],n}return Tf(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 Bf},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Pm),jy=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.call=function(t,e){var n=this;return $e((function(){var e=Em(t);return"channelsLast"===n.dataFormat?Ic(e,[1,2]):Ic(e,[2,3])}))},e.className="GlobalAveragePooling2D",e}(Uy);ff.registerClass(jy);var Gy=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.call=function(t,e){var n=this;return $e((function(){var e=Em(t);return"channelsLast"===n.dataFormat?kc(e,[1,2]):kc(e,[2,3])}))},e.className="GlobalMaxPooling2D",e}(Uy);function qy(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new Lf("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function a(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=a(e),constants:n=a(n)}}function Hy(t,e,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),$e((function(){var u=e.shape.length;if(u<3)throw new Lf("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(Md(2,u));if(e=ai(e,l),null!=i)throw new Bf("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===u-1&&(a=ir(a,-1)),a=ai(a,l)),r&&(e=ec(e,0),null!=a&&(a=ec(a,0)));var c,p,h=[],f=n,d=e.shape[0],m=cr(e);null!=a&&(p=cr(a));for(var g,v=function(e){var n=m[e],r=$e((function(){return t(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=$e((function(){var t=p[e],n=qn(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map((function(e,a){return r[1][a].mul(t).addStrict(e.mul(n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)v(y);return s&&(g=lr(h,1)),[c,g,f]}))}ff.registerClass(Gy);var Ky=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new Lf("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new eb({cells:e.cell}):e.cell).stateSize)throw new Lf("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 Fm({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return Tf(e,t),e.prototype.getStates=function(){return null==this.states_?Md(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){km(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 a=[],i=0,o=e;i<o.length;i++){var s=o[i];a.push([t[0],s])}return[n].concat(a)}return n},e.prototype.computeMask=function(t,e){var n=this;return $e((function(){Array.isArray(e)&&(e=e[0]);var t=n.returnSequences?e:null;if(n.returnState){var r=n.states.map((function(t){return null}));return[t].concat(r)}return t}))},Object.defineProperty(e.prototype,"states",{get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t},enumerable:!0,configurable:!0}),e.prototype.build=function(t){if(null!=this.numConstants)throw new Bf("Constants support is not implemented in RNN yet.");km(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new Fm({shape:[e,null,n]});var r,a=[t[0]].concat(t.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!pt.arraysEqual(this.stateSpec.map((function(t){return t.shape[t.shape.length-1]})),r))throw new Lf("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map((function(t){return new Fm({shape:[null,t]})}));this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),$e((function(){if(!n.stateful)throw new Mf("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new Lf("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 Vn([r,t])})):n.states_=[Vn([r,n.cell.stateSize])];else if(null==t)Ze(n.states_),null!=n.keptStates&&(Ze(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(t){return Vn([r,t])})):n.states_[0]=Vn([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new Lf("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()):Ze(n.states_);for(var a=0;a<n.states_.length;++a){var i=t[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!pt.arraysEqual(i.shape,s))throw new Lf("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map((function(t){return Qe(t.clone())}))}))},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=qy(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new Fm({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof Mm){var p=[e].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=t.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return $e((function(){var r=null==e?null:e.mask,a=null==e?null:e.training,i=null==e?null:e.initialState;t=Em(t),null==i&&(i=n.stateful?n.states_:n.getInitialState(t));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new Lf("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Hy((function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]}),t,i,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h}))},e.prototype.getInitialState=function(t){var e=this;return $e((function(){var n=Vn(t.shape);return n=Ld(n=Tc(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map((function(t){return t>1?jd(n,[1,t]):n})):e.cell.stateSize>1?[jd(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=tg(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(Pm);ff.registerClass(Ky);var Xy=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e}(Pm),Yy=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,nd(n.units,"units"),n.activation=Iv(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=bm(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bm(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bm(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=_v(e.kernelRegularizer),n.recurrentRegularizer=_v(e.recurrentRegularizer),n.biasRegularizer=_v(e.biasRegularizer),n.kernelConstraint=dd(e.kernelConstraint),n.recurrentConstraint=dd(e.recurrentConstraint),n.biasConstraint=dd(e.biasConstraint),n.dropout=_d([1,Fd([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=_d([1,Fd([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return Tf(e,t),e.prototype.build=function(t){t=Am(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){if(2!==(t=t).length)throw new Lf("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var a,i=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nb((function(){return qn(t)}),n.dropout,i)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nb((function(){return qn(r)}),n.recurrentDropout,i));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=qd(null!=o?Ia(t,o):t,n.kernel.read()),null!=n.bias&&(a=Yd(a,n.bias.read())),null!=s&&(r=Ia(r,s));var u=Or(a,qd(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:Sv(this.activation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(Xy);ff.registerClass(Yy);var Jy=function(t){function e(e){return e.cell=new Yy(e),t.call(this,e)||this}return Tf(e,t),e.prototype.call=function(e,n){var r=this;return $e((function(){null!=r.cell.dropoutMask&&(Ze(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ze(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,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:Sv(this.activation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(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}(Ky);ff.registerClass(Jy);var $y=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,nd(n.units,"units"),n.activation=Iv(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Iv(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=bm(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bm(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bm(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=_v(e.kernelRegularizer),n.recurrentRegularizer=_v(e.recurrentRegularizer),n.biasRegularizer=_v(e.biasRegularizer),n.kernelConstraint=dd(e.kernelConstraint),n.recurrentConstraint=dd(e.recurrentConstraint),n.biasConstraint=dd(e.biasConstraint),n.dropout=_d([1,Fd([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=_d([1,Fd([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return Tf(e,t),e.prototype.build=function(t){var e=(t=Am(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){if(2!==(t=t).length)throw new Lf("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,a=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nb((function(){return qn(t)}),n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nb((function(){return qn(a)}),n.recurrentDropout,r,3));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Ia(t,u[0]));var c=qd(t,n.kernel.read());n.useBias&&(c=Yd(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=Ia(a,l[0]));var p=n.recurrentKernel.read(),h=Zn(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=qd(a,f),g=Zn(c,3,c.rank-1),v=g[0],y=g[1],b=g[2],x=Zn(m,2,m.rank-1),w=x[0],C=x[1];i=n.recurrentActivation.apply(Or(v,w)),o=n.recurrentActivation.apply(Or(y,C));var N=qd(Ia(o,a),d);s=n.activation.apply(Or(b,N));var S=Or(Ia(i,a),Ia(Or(1,ta(i)),s));return[S,S]}))},e.prototype.getConfig=function(){var e={units:this.units,activation:Sv(this.activation),recurrentActivation:Sv(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="GRUCell",e}(Xy);ff.registerClass($y);var Zy=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 $y(e),t.call(this,e)||this}return Tf(e,t),e.prototype.call=function(e,n){var r=this;return $e((function(){null!=r.cell.dropoutMask&&(Ze(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ze(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,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:Sv(this.activation),recurrentActivation:Sv(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(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}(Ky);ff.registerClass(Zy);var Qy=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,nd(n.units,"units"),n.activation=Iv(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Iv(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=bm(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bm(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bm(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=_v(e.kernelRegularizer),n.recurrentRegularizer=_v(e.recurrentRegularizer),n.biasRegularizer=_v(e.biasRegularizer),n.kernelConstraint=dd(e.kernelConstraint),n.recurrentConstraint=dd(e.recurrentConstraint),n.biasConstraint=dd(e.biasConstraint),n.dropout=_d([1,Fd([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=_d([1,Fd([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 Tf(e,t),e.prototype.build=function(t){var e,n,r=(t=Am(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 a=this.biasInitializer,i=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Tf(e,t),e.prototype.apply=function(t,e){var n=a.apply([i]),r=(new nm).apply([i]),o=a.apply([2*i]);return Ud(Ud(n,r),o)},e}(tm)).className="CustomInit",e)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},e.prototype.call=function(t,e){var n=this;return $e((function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new Lf("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var a=t[1],i=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nb((function(){return qn(t)}),n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nb((function(){return qn(a)}),n.recurrentDropout,r,4));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Ia(t,c[0]));var h=qd(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=Ia(a,p[0])),h=Or(h,qd(a,n.recurrentKernel.read())),n.useBias&&(h=Yd(h,n.bias.read()));var f=Zn(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=Or(Ia(s,i),Ia(o,n.activation.apply(g))),l=n.recurrentActivation.apply(v);var y=Ia(l,n.activation.apply(u));return[y,y,u]}))},e.prototype.getConfig=function(){var e={units:this.units,activation:Sv(this.activation),recurrentActivation:Sv(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(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}(Xy);ff.registerClass(Qy);var tb=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 Qy(e),t.call(this,e)||this}return Tf(e,t),e.prototype.call=function(e,n){var r=this;return $e((function(){null!=r.cell.dropoutMask&&(Ze(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ze(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,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:Sv(this.activation),recurrentActivation:Sv(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ym(this.kernelInitializer),recurrentInitializer:ym(this.recurrentInitializer),biasInitializer:ym(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Dv(this.kernelRegularizer),recurrentRegularizer:Dv(this.recurrentRegularizer),biasRegularizer:Dv(this.biasRegularizer),activityRegularizer:Dv(this.activityRegularizer),kernelConstraint:hd(this.kernelConstraint),recurrentConstraint:hd(this.recurrentConstraint),biasConstraint:hd(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}(Ky);ff.registerClass(tb);var eb=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return Tf(e,t),Object.defineProperty(e.prototype,"stateSize",{get:function(){for(var t=[],e=0,n=this.cells.slice().reverse();e<n.length;e++){var r=n[e];Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t},enumerable:!0,configurable:!0}),e.prototype.call=function(t,e){var n=this;return $e((function(){for(var r=(t=t).slice(1),a=[],i=0,o=n.cells.slice().reverse();i<o.length;i++){var s=o[i];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=a[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;km(t)&&(t=t[0]),t=t,this.cells.forEach((function(n,r){kd("RNNCell_"+r,(function(){n.build(t),e=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,t=[t[0],e]}))})),this.built=!0},e.prototype.getConfig=function(){for(var e=[],n=0,r=this.cells;n<r.length;n++){var a=r[n];e.push({className:a.getClassName(),config:a.getConfig()})}var i={cells:e},o=t.prototype.getConfig.call(this);return Object.assign(i,o),i},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r=[],a=0,i=e.cells;a<i.length;a++){var o=i[a];r.push(tg(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 a=[],i=0,o=this.cells;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.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 Om(t)},e.prototype.setWeights=function(t){for(var e=[],n=0,r=this.cells;n<r.length;n++)for(var a=r[n],i=a.weights.length,o=t.splice(i),s=0;s<a.weights.length;++s)e.push([a.weights[s],o[s]]);_m(e)},e.className="StackedRNNCells",e}(Xy);function nb(t,e,n,r){function a(){return Jd(t(),e)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var i=[],o=0;o<r;o++)i.push($d(a,t,n));return i.map((function(t){return Qe(t.clone())}))}return Qe($d(a,t,n).clone())}ff.registerClass(eb);var rb=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return Tf(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=tg(e.layer,n);delete e.layer;var a={layer:r};return Object.assign(a,e),new t(a)},e}(Pm),ab=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return Tf(e,t),e.prototype.build=function(e){if((e=Am(e)).length<3)throw new Lf("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=Am(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))},e.prototype.call=function(t,e){var n=this;return $e((function(){return Hy((function(t,r){return[Em(n.layer.call(t,e)),[]]}),t=Em(t),[],!1,null,null,!1,!0)[1]}))},e.className="TimeDistributed",e}(rb);ff.registerClass(ab);var ib=function(t){function e(e){var n=t.call(this,e)||this,r=e.layer.getConfig(),a={};a.className=e.layer.getClassName(),a.config=r,n.forwardLayer=tg(a),r.goBackwards=!0!==r.goBackwards;var i={};if(i.className=e.layer.getClassName(),i.config=r,n.backwardLayer=tg(i),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,function(t){td(bd,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new Bf("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 Tf(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,a=this.forwardLayer.computeOutputShape(t);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),e=a[0]):e=a[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()):jf(n)},e.prototype.apply=function(e,n){var 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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 dx(t,e,n,r){void 0===r&&(r=!1);var a=t[e];return a&&a.list&&a.list.s?a.list.s.map((function(t){return ax(t,r)})):n}function mx(t,e,n){var r=t[e];return r&&r.list&&r.list.shape?r.list.shape.map((function(t){return px(t)})):n}function gx(t,e,n){var r=t[e];return r&&r.list&&r.list.b?r.list.b:n}var vx=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 zb(t,this.tensorMap,this.context)},t.prototype.getAttr=function(t,e){var n=this.node.rawAttrs[t];if(null!=n.tensor)return zb(t,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return sx(this.node.rawAttrs,t,e);if(null!=n.s)return ix(this.node.rawAttrs,t,e);if(null!=n.b)return ox(this.node.rawAttrs,t,e);if(null!=n.shape)return hx(this.node.rawAttrs,t,e);if(null!=n.type)return lx(this.node.rawAttrs,t,e);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return fx(this.node.rawAttrs,t,e);if(null!=n.list.s)return dx(this.node.rawAttrs,t,e);if(null!=n.list.shape)return mx(this.node.rawAttrs,t,e);if(null!=n.list.b)return gx(this.node.rawAttrs,t,e);if(null!=n.list.type)return cx(this.node.rawAttrs,t,e)}return e},t}(),yx=function(){function t(e,n,r,a,i,o,s){this.name=e,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,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 Rn([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),lr(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 Rn([],[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+")"),Kn(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,cr(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,a=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 i=0===r?0:e.size/r,o=[];$e((function(){e=e.reshape([1,r,i]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,t[s],i];o[s]=dc(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=""),pt.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}();function bx(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return $e((function(){return function(t,e,n){switch(t.op){case"BiasAdd":case"AddV2":case"Add":return[Or(Mb("a",t,e,n),Mb("b",t,e,n))];case"AddN":return[Eu(Mb("tensors",t,e,n))];case"FloorMod":case"Mod":return[Sa(Mb("a",t,e,n),Mb("b",t,e,n))];case"Mul":return[Ia(Mb("a",t,e,n),Mb("b",t,e,n))];case"RealDiv":case"Div":return[_a(Mb("a",t,e,n),Mb("b",t,e,n))];case"DivNoNan":return[$u(Mb("a",t,e,n),Mb("b",t,e,n))];case"FloorDiv":return[ba(Mb("a",t,e,n),Mb("b",t,e,n))];case"Sub":return[Da(Mb("a",t,e,n),Mb("b",t,e,n))];case"Minimum":return[Ca(Mb("a",t,e,n),Mb("b",t,e,n))];case"Maximum":return[xa(Mb("a",t,e,n),Mb("b",t,e,n))];case"Pow":return[Aa(Mb("a",t,e,n),Mb("b",t,e,n))];case"SquaredDifference":return[bl(Mb("a",t,e,n),Mb("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"basic_math":return $e((function(){return function(t,e,n){switch(t.op){case"Abs":case"ComplexAbs":return[zr(Mb("x",t,e,n))];case"Acos":return[Lr(Mb("x",t,e,n))];case"Acosh":return[Br(Mb("x",t,e,n))];case"Asin":return[Pr(Mb("x",t,e,n))];case"Asinh":return[Wr(Mb("x",t,e,n))];case"Atan":return[Vr(Mb("x",t,e,n))];case"Atan2":return[va(Mb("x",t,e,n),Mb("y",t,e,n))];case"Atanh":return[Ur(Mb("x",t,e,n))];case"Ceil":return[jr(Mb("x",t,e,n))];case"Complex":return[En(Mb("real",t,e,n),Mb("imag",t,e,n))];case"Cos":return[qr(Mb("x",t,e,n))];case"Cosh":return[Hr(Mb("x",t,e,n))];case"Elu":return[Dc(Mb("x",t,e,n))];case"Erf":return[Kr(Mb("x",t,e,n))];case"Exp":return[Xr(Mb("x",t,e,n))];case"Expm1":return[Yr(Mb("x",t,e,n))];case"Floor":return[Jr(Mb("x",t,e,n))];case"Log":return[$r(Mb("x",t,e,n))];case"Log1p":return[Zr(Mb("x",t,e,n))];case"Imag":return[Tn(Mb("x",t,e,n))];case"Neg":return[ta(Mb("x",t,e,n))];case"Reciprocal":return[ea(Mb("x",t,e,n))];case"Real":return[An(Mb("x",t,e,n))];case"Relu":return[Fc(Mb("x",t,e,n))];case"Round":return[na(Mb("x",t,e,n))];case"Selu":return[zc(Mb("x",t,e,n))];case"Sigmoid":return[aa(Mb("x",t,e,n))];case"Sin":return[la(Mb("x",t,e,n))];case"Sign":return[ia(Mb("x",t,e,n))];case"Sinh":return[ca(Mb("x",t,e,n))];case"Softplus":return[pa(Mb("x",t,e,n))];case"Sqrt":return[ha(Mb("x",t,e,n))];case"Square":return[yl(Mb("x",t,e,n))];case"Tanh":return[ma(Mb("x",t,e,n))];case"Tan":return[da(Mb("x",t,e,n))];case"Relu6":case"ClipByValue":return[Gr(Mb("x",t,e,n),Mb("clipValueMin",t,e,n),Mb("clipValueMax",t,e,n))];case"Rsqrt":return[ra(zb(t.inputNames[0],e,n))];case"Prod":return[Rc(Mb("x",t,e,n),Mb("axes",t,e,n))];case"LeakyRelu":return[Oc(Mb("x",t,e,n),Mb("alpha",t,e,n))];case"Prelu":return[_c(Mb("x",t,e,n),Mb("alpha",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"control":return function(t,e,n){return Tb(void 0,void 0,void 0,(function(){var r,a,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,S,k,I,E,A,T,R,D,O,_,F,M,z;return Rb(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,[Mb("pred",t,e,n).clone()]];case 2:return r=Mb("pred",t,e,n),a=Mb("data",t,e,n),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,a.clone()]:[a.clone(),void 0]];case 4:return[2,(i=t.inputNames.find((function(t){return void 0!==zb(t,e,n)})))?[zb(i,e,n).clone()]:void 0];case 5:return o=Mb("frameName",t,e,n),s=Mb("tensor",t,e,n),n.enterFrame(o),[2,[s.clone()]];case 6:return u=Mb("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=Mb("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=Mb("size",t,e,n),p=Mb("dtype",t,e,n),h=Mb("elementShape",t,e,n),f=Mb("dynamicSize",t,e,n),d=Mb("clearAfterRead",t,e,n),m=Mb("identicalElementShapes",t,e,n),g=Mb("name",t,e,n),v=new yx(g,p,c,h,m,f,d),n.addTensorArray(v),[2,[On(v.id),On(1)]];case 9:return y=Mb("tensorArrayId",t,e,n),b=Mb("index",t,e,n),x=Mb("tensor",t,e,n),n.getTensorArray(y).write(b,x),[2,[On(1)]];case 10:return w=Mb("tensorArrayId",t,e,n),C=Mb("index",t,e,n),[2,[n.getTensorArray(w).read(C)]];case 11:return N=Mb("tensorArrayId",t,e,n),S=Mb("indices",t,e,n),k=Mb("dtype",t,e,n),[2,[n.getTensorArray(N).gather(S,k)]];case 12:return I=Mb("tensorArrayId",t,e,n),E=Mb("indices",t,e,n),A=Mb("tensor",t,e,n),n.getTensorArray(I).scatter(E,A),[2,[On(1)]];case 13:return T=Mb("tensorArrayId",t,e,n),R=n.getTensorArray(T),D=Mb("dtype",t,e,n),[2,[R.concat(D)]];case 14:return O=Mb("tensorArrayId",t,e,n),_=Mb("tensor",t,e,n),F=Mb("lengths",t,e,n),n.getTensorArray(O).split(F,_),[2,[On(1)]];case 15:return M=Mb("tensorArrayId",t,e,n),[2,[On(n.getTensorArray(M).size(),"int32")]];case 16:return z=Mb("tensorArrayId",t,e,n),n.getTensorArray(z).clearAndClose(),[2,[On(0)]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}}))}))}(t,e,n);case"convolution":return $e((function(){return function(t,e,n){switch(t.op){case"Conv1D":var r=Mb("stride",t,e,n),a=Mb("pad",t,e,n),i=Mb("dataFormat",t,e,n).toUpperCase(),o=Mb("dilation",t,e,n);return[Vl(Mb("x",t,e,n),Mb("filter",t,e,n),r,a,i,o)];case"Conv2D":r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),i=Mb("dataFormat",t,e,n).toUpperCase();var s=Mb("dilations",t,e,n);return[Ul(Mb("x",t,e,n),Mb("filter",t,e,n),[r[1],r[2]],a,i,[s[1],s[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var u=Mb("fusedOps",t,e,n),l=u[0],c=u[1],p="biasadd"===l,h="prelu"===c,f="fusedbatchnorm"===l,d=Mb("numArgs",t,e,n);if(p){if(h&&2!==d)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!h&&1!==d)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(f)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),i=Mb("dataFormat",t,e,n).toUpperCase(),s=Mb("dilations",t,e,n);var m=Mb("args",t,e,n),g=m[0],v=m[1];return[("_FusedConv2D"===t.op?Lp.conv2d:Lp.depthwiseConv2d)({x:Mb("x",t,e,n),filter:Mb("filter",t,e,n),strides:[r[1],r[2]],pad:a,dataFormat:i,dilations:[s[1],s[2]],bias:g,activation:c,preluActivationWeights:v})];case"Conv2DBackpropInput":case"Conv2dTranspose":var y=Mb("outputShape",t,e,n);return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),[Jl(Mb("x",t,e,n),Mb("filter",t,e,n),y,[r[1],r[2]],a)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),s=Mb("dilations",t,e,n),i=Mb("dataFormat",t,e,n).toUpperCase(),[Hl(Mb("input",t,e,n),Mb("filter",t,e,n),[r[1],r[2]],a,i,[s[1],s[2]])];case"Conv3D":return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),i=Mb("dataFormat",t,e,n).toUpperCase(),s=Mb("dilations",t,e,n),[jl(Mb("x",t,e,n),Mb("filter",t,e,n),[r[1],r[2],r[3]],a,i,[s[1],s[2],s[3]])];case"AvgPool":r=Mb("strides",t,e,n),a=Mb("pad",t,e,n);var b=Mb("kernelSize",t,e,n);return[lc(Mb("x",t,e,n),[b[1],b[2]],[r[1],r[2]],a)];case"MaxPool":return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),b=Mb("kernelSize",t,e,n),[uc(Mb("x",t,e,n),[b[1],b[2]],[r[1],r[2]],a)];case"MaxPoolWithArgmax":r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),b=Mb("kernelSize",t,e,n);var x=Mb("includeBatchInIndex",t,e,n),w=fc(Mb("x",t,e,n),[b[1],b[2]],[r[1],r[2]],a,x);return[w.result,w.indexes];case"AvgPool3D":return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),b=Mb("kernelSize",t,e,n),[hc(Mb("x",t,e,n),[b[1],b[2],b[3]],[r[1],r[2],r[3]],a)];case"MaxPool3D":return r=Mb("strides",t,e,n),a=Mb("pad",t,e,n),b=Mb("kernelSize",t,e,n),[pc(Mb("x",t,e,n),[b[1],b[2],b[3]],[r[1],r[2],r[3]],a)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"creation":return $e((function(){return function(t,e,n){switch(t.op){case"Fill":var r=Mb("shape",t,e,n),a=Mb("dtype",t,e,n);return[Un(r,Mb("value",t,e,n),a)];case"LinSpace":var i=Mb("start",t,e,n);return[jn(i,Mb("stop",t,e,n),Mb("num",t,e,n))];case"Multinomial":var o=Mb("logits",t,e,n),s=Mb("numSamples",t,e,n),u=Mb("seed",t,e,n);return[tl(o,s,u)];case"OneHot":var l=Mb("indices",t,e,n),c=Mb("depth",t,e,n),p=Mb("onValue",t,e,n),h=Mb("offValue",t,e,n);return[el(l,c,p,h)];case"Ones":return[Wn(Mb("shape",t,e,n),Mb("dtype",t,e,n))];case"OnesLike":return[qn(Mb("x",t,e,n))];case"RandomUniform":return[vl(Mb("shape",t,e,n),Mb("minval",t,e,n),Mb("maxval",t,e,n),Mb("dtype",t,e,n))];case"Range":return[Gn(i=Mb("start",t,e,n),Mb("stop",t,e,n),Mb("step",t,e,n),Mb("dtype",t,e,n))];case"TruncatedNormal":r=Mb("shape",t,e,n);var f=Mb("mean",t,e,n),d=Mb("stdDev",t,e,n);return u=Mb("seed",t,e,n),[xl(r,f,d,Mb("dtype",t,e,n),u)];case"Zeros":return[Vn(Mb("shape",t,e,n),Mb("dtype",t,e,n))];case"ZerosLike":return[Hn(Mb("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"dynamic":return function(t,e,n){return Tb(void 0,void 0,void 0,(function(){var r,a,i,o,s,u,l,c;return Rb(this,(function(p){switch(p.label){case 0:switch(t.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return r=Mb("boxes",t,e,n),a=Mb("scores",t,e,n),i=Mb("maxOutputSize",t,e,n),o=Mb("iouThreshold",t,e,n),s=Mb("scoreThreshold",t,e,n),"NonMaxSuppressionV5"!==t.op?[3,3]:(u=Mb("softNmsSigma",t,e,n),[4,Tp.nonMaxSuppressionWithScoreAsync(r,a,i,o,s,u)]);case 2:return[2,[(c=p.sent()).selectedIndices,c.selectedScores]];case 3:return[4,Tp.nonMaxSuppressionAsync(r,a,i,o,s)];case 4:return[2,[p.sent()]];case 5:return l=Mb("condition",t,e,n).asType("bool"),[4,Ju(l)];case 6:return c=[p.sent()],l.dispose(),[2,c];case 7:return[2,pr(Mb("x",t,e,n),Mb("y",t,e,n))];case 8:throw TypeError("Node type "+t.op+" is not implemented")}}))}))}(t,e,n);case"evaluation":return $e((function(){return function(t,e,n){switch(t.op){case"TopKV2":var r=Mb("x",t,e,n),a=Mb("k",t,e,n),i=Mb("sorted",t,e,n),o=jc(r,a,i);return[o.values,o.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"image":return $e((function(){return function(t,e,n){switch(t.op){case"ResizeBilinear":var r=Mb("images",t,e,n),a=Mb("size",t,e,n),i=Mb("alignCorners",t,e,n);return[Tp.resizeBilinear(r,[a[0],a[1]],i)];case"ResizeNearestNeighbor":return r=Mb("images",t,e,n),a=Mb("size",t,e,n),i=Mb("alignCorners",t,e,n),[Tp.resizeNearestNeighbor(r,[a[0],a[1]],i)];case"CropAndResize":var o=Mb("image",t,e,n),s=Mb("boxes",t,e,n),u=Mb("boxInd",t,e,n),l=Mb("cropSize",t,e,n),c=Mb("method",t,e,n),p=Mb("extrapolationValue",t,e,n);return[Tp.cropAndResize(o,s,u,l,c,p)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"graph":return $e((function(){return function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=Mb("default",t,e,n);return[zb(t.name,e,n)||r];case"Placeholder":return[zb(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[Mb("x",t,e,n).clone()];case"IdentityN":return Mb("x",t,e,n).map((function(t){return t.clone()}));case"Snapshot":return[Mb("x",t,e,n).clone()];case"Shape":return[_n(Mb("x",t,e,n).shape,"int32")];case"ShapeN":return Mb("x",t,e,n).map((function(t){return _n(t.shape)}));case"Size":return[On(Mb("x",t,e,n).size,"int32")];case"Rank":return[On(Mb("x",t,e,n).rank,"int32")];case"NoOp":return[On(1)];case"Print":var a=Mb("x",t,e,n),i=Mb("data",t,e,n),o=Mb("message",t,e,n),s=Mb("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<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"logical":return $e((function(){return function(t,e,n){switch(t.op){case"Equal":return[wl(Mb("a",t,e,n),Mb("b",t,e,n))];case"NotEqual":return[Dl(Mb("a",t,e,n),Mb("b",t,e,n))];case"Greater":return[Nl(Mb("a",t,e,n),Mb("b",t,e,n))];case"GreaterEqual":return[Sl(Mb("a",t,e,n),Mb("b",t,e,n))];case"Less":return[El(Mb("a",t,e,n),Mb("b",t,e,n))];case"LessEqual":return[Al(Mb("a",t,e,n),Mb("b",t,e,n))];case"LogicalAnd":return[qu(Mb("a",t,e,n),Mb("b",t,e,n))];case"LogicalNot":return[Hu(Mb("a",t,e,n))];case"LogicalOr":return[Ku(Mb("a",t,e,n),Mb("b",t,e,n))];case"Select":case"SelectV2":return[Yu(Mb("condition",t,e,n),Mb("a",t,e,n),Mb("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"matrices":return $e((function(){return function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Zl(Mb("a",t,e,n),Mb("b",t,e,n),Mb("transposeA",t,e,n),Mb("transposeB",t,e,n))];case"Transpose":return[ai(Mb("x",t,e,n),Mb("perm",t,e,n))];case"_FusedMatMul":var r=Mb("fusedOps",t,e,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=Mb("numArgs",t,e,n);if(o){if(s&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=Mb("args",t,e,n),c=l[0],p=l[1];return[Lp.matMul({a:Mb("a",t,e,n),b:Mb("b",t,e,n),transposeA:Mb("transposeA",t,e,n),transposeB:Mb("transposeB",t,e,n),bias:c,activation:i,preluActivationWeights:p})];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"normalization":return $e((function(){return function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[_u(Mb("x",t,e,n),Mb("mean",t,e,n),Mb("variance",t,e,n),Mb("offset",t,e,n),Mb("scale",t,e,n),Mb("epsilon",t,e,n))];case"LRN":return[Lc(Mb("x",t,e,n),Mb("radius",t,e,n),Mb("bias",t,e,n),Mb("alpha",t,e,n),Mb("beta",t,e,n))];case"Softmax":return[ni(Mb("x",t,e,n))];case"LogSoftmax":return[ri(Mb("x",t,e,n))];case"SparseToDense":return[Jc(Mb("sparseIndices",t,e,n),Mb("outputShape",t,e,n),Mb("sparseValues",t,e,n),Mb("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"reduction":return $e((function(){return function(t,e,n){switch(t.op){case"Max":var r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n);return[kc(Mb("x",t,e,n),r,a)];case"Mean":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[Ic(Mb("x",t,e,n),r,a)];case"Min":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[Ec(Mb("x",t,e,n),r,a)];case"Sum":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[Tc(Mb("x",t,e,n),r,a)];case"All":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[xc(Mb("x",t,e,n),r,a)];case"Any":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[wc(Mb("x",t,e,n),r,a)];case"ArgMax":return r=Mb("axis",t,e,n),[Cc(Mb("x",t,e,n),r)];case"ArgMin":return r=Mb("axis",t,e,n),[Nc(Mb("x",t,e,n),r)];case"Prod":return r=Mb("axis",t,e,n),a=Mb("keepDims",t,e,n),[Rc(Mb("x",t,e,n),r,a)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"slice_join":return $e((function(){return function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=Mb("n",t,e,n),a=Mb("axis",t,e,n),i=Mb("tensors",t,e,n);return i=i.slice(0,r),[Kn(i,a)];case"GatherV2":case"Gather":a=Mb("axis",t,e,n);var o=Mb("x",t,e,n),s=Mb("indices",t,e,n);return[Ml(o,s.asType("int32"),a)];case"ReverseV2":case"Reverse":return a=Mb("axis",t,e,n),o=Mb("x",t,e,n),[ec(o,a)];case"Slice":var u=Mb("begin",t,e,n),l=Mb("size",t,e,n);return[dc(Mb("x",t,e,n),u,l)];case"StridedSlice":u=Mb("begin",t,e,n);var c=Mb("end",t,e,n),p=Mb("strides",t,e,n),h=Mb("beginMask",t,e,n),f=Mb("endMask",t,e,n),d=Mb("ellipsisMask",t,e,n),m=Mb("newAxisMask",t,e,n),g=Mb("shrinkAxisMask",t,e,n),v=Mb("x",t,e,n);if(1===u.length&&v.shape.length>1)for(var y=1;y<v.shape.length;y++)u.push(0),c.push(v.shape[y]),p.push(p[0]);return[Uc(v,u,c,p,h,f,d,m,g)];case"Pack":return $e((function(){var r=Mb("axis",t,e,n),a=Mb("tensors",t,e,n),i=a[0].shape,o=a[0].squeeze().shape,s=a.map((function(t){var e=pt.arraysEqual(t.shape,i);if(!e&&!pt.arraysEqual(t.squeeze().shape,o))throw new Error("the input tensors shape does not match");return e?t:t.reshape(i)}));return[lr(s,r)]}));case"Unpack":return $e((function(){var r=Mb("axis",t,e,n),a=Mb("tensor",t,e,n);return cr(a,r)}));case"Tile":var b=Mb("reps",t,e,n);return[Zu(Mb("x",t,e,n),b)];case"Split":case"SplitV":a=Mb("axis",t,e,n);var x=Mb("numOrSizeSplits",t,e,n);return Zn(Mb("x",t,e,n),x,a);case"ScatterNd":s=Mb("indices",t,e,n);var w=Mb("values",t,e,n),C=Mb("shape",t,e,n);return[Gc(s,w,C)];case"GatherNd":var N=Mb("x",t,e,n);return s=Mb("indices",t,e,n),[$c(N,s)];case"SparseToDense":s=Mb("sparseIndices",t,e,n),C=Mb("outputShape",t,e,n);var S=Mb("sparseValues",t,e,n),k=Mb("defaultValue",t,e,n);return[Jc(s,S,C,S.dtype===k.dtype?k:k.asType(S.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"spectral":return $e((function(){return function(t,e,n){switch(t.op){case"FFT":return[qc(Mb("x",t,e,n))];case"IFFT":return[Hc(Mb("x",t,e,n))];case"RFFT":return[Kc(Mb("x",t,e,n))];case"IRFFT":return[Xc(Mb("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"transformation":return $e((function(){return function(t,e,n){switch(t.op){case"Cast":return[nr(Mb("x",t,e,n),Mb("dtype",t,e,n))];case"ExpandDims":var r=Mb("axis",t,e,n);return[ir(Mb("x",t,e,n),r)];case"Squeeze":return r=Mb("axis",t,e,n),[ur(Mb("x",t,e,n),r)];case"Reshape":return[or(Mb("x",t,e,n),Mb("shape",t,e,n))];case"PadV2":case"Pad":return[nl(Mb("x",t,e,n),Wb(Mb("padding",t,e,n),2),Mb("constantValue",t,e,n))];case"SpaceToBatchND":var a=Mb("blockShape",t,e,n),i=Wb(Mb("paddings",t,e,n),2);return[sr(Mb("x",t,e,n),a,i)];case"BatchToSpaceND":a=Mb("blockShape",t,e,n);var o=Wb(Mb("crops",t,e,n),2);return[er(Mb("x",t,e,n),a,o)];case"DepthToSpace":var s=Mb("blockSize",t,e,n),u=Mb("dataFormat",t,e,n).toUpperCase();return[ar(Mb("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"custom":var r=_b(t.op);if(r&&r.customExecutor)return r.customExecutor(new vx(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 xx=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 wx(t,e,n){for(var r=new Set,a=[],i=null,o=null,s=new Set,u=Object.keys(t).map((function(t){return Pb(t)[0]})),l=e.slice();l.length>0;){var c=l.pop();(Sx(c)||kx(c))&&null==i&&(o=(i=c).children.map((function(t){return t.name})).filter((function(t){return r.has(t)}))),r.add(c.name),null==n[c.name]&&-1===u.indexOf(c.name)&&(0!==c.inputs.length?c.inputs.forEach((function(t){s.has(t.name)||(s.add(t.name),l.push(t))})):a.push(c.name))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:a,dynamicNode:i,syncInputs:o}}var Cx=["Switch","Merge","Enter","Exit","NextIteration"],Nx=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function Sx(t){return Cx.indexOf(t.op)>=0}function kx(t){return Nx.indexOf(t.op)>=0}var Ix=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=t.outputs,this._inputs=t.inputs,this._signature=t.signature}return Object.defineProperty(t.prototype,"weightMap",{get:function(){return this._weightMap},set:function(t){var e=Object.keys(t).map((function(e){return t[e].map((function(t){return t.id}))}));this.weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this._inputs.map((function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}}))},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this._outputs.map((function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}}))},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this._inputs.map((function(t){return t.signatureKey||t.name}))},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this._outputs.map((function(t){return t.signatureKey||t.name}))},enumerable:!0,configurable:!0}),t.prototype.getCompilationKey=function(t,e){var n=t.map((function(t){return t.name})).sort(),r=e.map((function(t){return t.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.prototype.compile=function(t,e){var n=wx(t,e,this.weightMap),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '"+a.name+"', which has the dynamic op '"+a.op+"'. 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Missing the following inputs: ["+r+"]")}return function(t,e,n){var r=n.usedNodes,a=n.inputs,i=[];Object.keys(a).map((function(t){return Pb(t)[0]})).map((function(e){return t.nodes[e]})).forEach((function(t){r.has(t.name)&&i.push(t)})),t.weights.forEach((function(t){r.has(t.name)&&i.push(t)}));for(var o=new Set,s=[];i.length>0;){var u=i.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)}))&&i.push(t)}))}return s}(this.graph,this.weightMap,n)},t.prototype.execute=function(t,e){var n=this;t=this.mapInputs(t);var r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var a=r.map((function(t){return n.graph.nodes[Pb(t)[0]]})),i=e.map((function(t){return n.graph.nodes[Pb(t)[0]]})),o=this.getCompilationKey(a,i),s=this.compiledMap.get(o);null==s&&(s=this.compile(t,i),this.compiledMap.set(o,s));var u={};return $e((function(){var r=new xx(n._weightMap,u),a=Ab({},n.weightMap);Object.keys(t).forEach((function(e){var n=Pb(e),r=n[0],i=[];i[n[1]]=t[e],a[r]=i}));for(var i=n.getFrozenTensorIds(a),o={},l=0;l<s.length;l++){var c=s[l];if(!a[c.name]){var p=bx(c,a,r);if(p instanceof Promise)throw new Error("The execution of the op '"+c.op+"' returned a promise. 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t=e.sent(),this.handler(t)?[3,4]:[2,{value:null,done:!0}];case 4:return[3,0];case 5:return[2]}}))}))},e}(aw),dw=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return Dx(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){var t,e,n,r,a,i,o;return _x(this,(function(s){switch(s.label){case 0:return[4,this.upstream.next()];case 1:return(t=s.sent()).done?[2,{value:null,done:!0}]:(e=Mt.getTensorsInContainer(t.value),[4,this.transform(t.value)]);case 2:for(n=s.sent(),r=Mt.getTensorsInContainer(n),a=0,i=e;a<i.length;a++)o=i[a],Mt.isTensorInList(o,r)||o.dispose();return[2,{value:n,done:!1}]}}))}))},e}(aw),mw=function(t){function e(){var e=t.call(this)||this;return e.outputQueue=new Zx,e.lastRead=Promise.resolve({value:null,done:!1}),e}return Dx(e,t),e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){var t=this;return 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1:if((t=s.sent()).done)return[2,!1];for(e=Mt.getTensorsInContainer(t.value),n=this.transform(t.value),r=Mt.getTensorsInContainer(n),this.outputQueue.pushAll(n),a=0,i=e;a<i.length;a++)o=i[a],Mt.isTensorInList(o,r)||o.dispose();return[2,!0]}}))}))},e}(mw),vw=function(t){function e(e,n){var r=t.call(this)||this;return r.baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=e,r}return Dx(e,t),e.prototype.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(t){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]}))}))},e.prototype.readFromChain=function(t){return Ox(this,void 0,void 0,(function(){var e,n;return _x(this,(function(r){switch(r.label){case 0:return[4,t];case 1:return r.sent(),null!=this.iterator?[3,3]:[4,this.moreIterators.next()];case 2:if((e=r.sent()).done)return[2,{value:null,done:!0}];this.iterator=e.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),r.label=3;case 3:return[4,this.iterator.next()];case 4:return(n=r.sent()).done?(this.iterator=null,[2,this.readFromChain(t)]):[2,n]}}))}))},e}(aw);!function(t){t[t.FAIL=0]="FAIL",t[t.SHORTEST=1]="SHORTEST",t[t.LONGEST=2]="LONGEST"}(rw||(rw={}));var yw=function(t){function e(e,n){void 0===n&&(n=rw.FAIL);var r=t.call(this)||this;return r.iterators=e,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}return Dx(e,t),e.prototype.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},e.prototype.nextState=function(t){return Ox(this,void 0,void 0,(function(){function e(t){return t instanceof aw?{value:t.next().then((function(t){return n++,t.done&&r++,t.value})),recurse:!1}:{value:null,recurse:!0}}var n,r,a;return _x(this,(function(i){switch(i.label){case 0:return[4,t];case 1:return i.sent(),n=0,r=0,[4,Kx(this.iterators,e)];case 2:if(a=i.sent(),n===r)return[2,{value:null,done:!0}];if(r>0)switch(this.mismatchMode){case rw.FAIL:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case rw.SHORTEST:return[2,{value:null,done:!0}];case rw.LONGEST:}return this.count++,[2,{value:a,done:!1}]}}))}))},e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(t){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]}))}))},e}(aw),bw=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.bufferSize=n,r.buffer=new $x(n),r}return Dx(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},e.prototype.refill=function(){for(;!this.buffer.isFull();){var t=this.upstream.next();this.buffer.push(t)}},e.prototype.next=function(){return this.refill(),this.buffer.shift()},e}(aw),xw=function(t){function e(e,n,r){var a=t.call(this,e,n)||this;return a.upstream=e,a.windowSize=n,a.upstreamExhausted=!1,a.random=Ux(r||pt.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return Dx(e,t),e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){var t=this;return _x(this,(function(e){return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),[2,this.lastRead]}))}))},e.prototype.randomInt=function(t){return Math.floor(this.random()*t)},e.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},e.prototype.serialNext=function(){return Ox(this,void 0,void 0,(function(){var t,e;return _x(this,(function(n){switch(n.label){case 0:this.upstreamExhausted||this.refill(),n.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(t=this.chooseIndex(),[4,this.buffer.shuffleExcise(t)]);case 2:return(e=n.sent()).done?(this.upstreamExhausted=!0,[3,1]):(this.refill(),[2,e]);case 3:return[2,{value:null,done:!0}]}}))}))},e}(bw),ww=function(){function t(){this.size=null}return t.prototype.batch=function(t,e){var n=this;void 0===e&&(e=!0);var r=this;return pt.assert(t>0,(function(){return"batchSize needs to be positive, but it is\n      "+t})),Cw((function(){return Ox(n,void 0,void 0,(function(){return _x(this,(function(n){switch(n.label){case 0:return[4,r.iterator()];case 1:return[2,n.sent().columnMajorBatch(t,e,kw)]}}))}))}),this.size===1/0||null==this.size?this.size:e?Math.ceil(this.size/t):Math.floor(this.size/t))},t.prototype.concatenate=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){var e,r;return _x(this,(function(a){switch(a.label){case 0:return[4,n.iterator()];case 1:return r=(e=a.sent()).concatenate,[4,t.iterator()];case 2:return[2,r.apply(e,[a.sent()])]}}))}))}),this.size===1/0||t.size===1/0?1/0:null!=this.size&&null!=t.size?this.size+t.size:null)},t.prototype.filter=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().filter((function(e){return $e((function(){return t(e)}))}))]}}))}))}),this.size===1/0?1/0:null)},t.prototype.forEachAsync=function(t){return Ox(this,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,this.iterator()];case 1:return[2,e.sent().forEachAsync(t)]}}))}))},t.prototype.forEach=function(t){return Ox(this,void 0,void 0,(function(){return _x(this,(function(e){return He("dataset.forEach() is deprecated and will be removed. Please use dataset.forEachAsync() instead"),[2,this.forEachAsync(t)]}))}))},t.prototype.map=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().map((function(e){return $e((function(){return t(e)}))}))]}}))}))}),this.size)},t.prototype.mapAsync=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().mapAsync(t)]}}))}))}),this.size)},t.prototype.prefetch=function(t){var e=this;if(null==t)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().prefetch(t)]}}))}))}),this.size)},t.prototype.repeat=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){var e=this;return _x(this,(function(r){return[2,ew(tw((function(){return Ox(e,void 0,void 0,(function(){var t;return _x(this,(function(e){switch(e.label){case 0:return t={},[4,n.iterator()];case 1:return[2,(t.value=e.sent(),t.done=!1,t)]}}))}))})).take(t))]}))}))}),null!=this.size&&t>0?this.size*t:0===t?0:null!=this.size&&(void 0===t||t<0)?1/0:null)},t.prototype.skip=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().skip(t)]}}))}))}),null!=this.size&&t>=0&&this.size>=t?this.size-t:null!=this.size&&(this.size<t||void 0===t||t<0)?0:null)},t.prototype.shuffle=function(t,e,n){var r=this;if(void 0===n&&(n=!0),null==t||t<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError("`Dataset.shuffle()` requires bufferSize to be specified.  If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting bufferSize to the dataset size ("+this.size+" elements)");var a=this,i=Ux(e||pt.now().toString());return Cw((function(){return Ox(r,void 0,void 0,(function(){var e;return _x(this,(function(r){switch(r.label){case 0:return e=i.int32(),n&&(e+=i.int32()),[4,a.iterator()];case 1:return[2,r.sent().shuffle(t,e.toString())]}}))}))}),this.size)},t.prototype.take=function(t){var e=this,n=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().take(t)]}}))}))}),null!=this.size&&this.size>t?t:null!=this.size&&this.size<=t?this.size:null)},t.prototype.toArray=function(){return Ox(this,void 0,void 0,(function(){return _x(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().toArray()]}}))}))},t.prototype.toArrayForTest=function(){return Ox(this,void 0,void 0,(function(){return _x(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 Cw(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 Dx(r,n),r.prototype.iterator=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(e){return[2,t()]}))}))},r}(ww))}function Nw(t){var e=this;return Cw((function(){return Ox(e,void 0,void 0,(function(){return _x(this,(function(e){return[2,Qx(t)]}))}))}),t.length)}function Sw(t){var e,n=this;if(!Xx(t))throw new Error("The argument to zip() must be an object or array.");if(Array.isArray(t))for(var r=0;r<t.length;r++)e=null==e?t[r].size:Math.min(e,t[r].size);else if(t instanceof Object)for(var a in t)e=null==e?t[a].size:Math.min(e,t[a].size);return Cw((function(){return Ox(n,void 0,void 0,(function(){return _x(this,(function(e){switch(e.label){case 0:return[4,Kx(t,(function(t){if(t instanceof ww)return{value:t.iterator(),recurse:!1};if(Xx(t))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")}))];case 1:return[2,nw(e.sent(),rw.SHORTEST)]}}))}))}),e)}function kw(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 wt||pt.isTypedArray(t)}(t[0])?{value:Iw(t),recurse:!1}:{value:null,recurse:!0}}function Iw(t){if(0===t.length)throw new Error("Can't make a batch of zero elements.");return t[0]instanceof wt?lr(t):Rn(t)}var Ew=function(t){function e(e){var n=t.call(this)||this;return n.input=e,n}return Dx(e,t),e.prototype.iterator=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(t){switch(t.label){case 0:return[4,this.input.iterator()];case 1:return[2,t.sent().decodeUTF8().split("\n").map((function(t){return t.endsWith("\r")&&(t=t.slice(0,-1)),t}))]}}))}))},e}(ww),Aw='"',Tw=Symbol("out"),Rw=Symbol("field"),Dw=Symbol("quote"),Ow=Symbol("quoteafterquote"),_w=Symbol("quoteinquote"),Fw=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 Ew(e),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(pt.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 Dx(e,t),e.prototype.columnNames=function(){return Ox(this,void 0,void 0,(function(){return _x(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 Ox(this,void 0,void 0,(function(){var t,e,n,r,a,i,o=this;return _x(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&&pt.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})),pt.assert(0===n.length,(function(){return"Duplicate column names found: "+n.toString()})),this.columnConfigs)for(r=0,a=Object.keys(this.columnConfigs);r<a.length;r++)if(i=a[r],-1===this.fullColumnNames.indexOf(i))throw new Error('The key "'+i+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}}))}))},e.prototype.maybeReadHeaderLine=function(){return Ox(this,void 0,void 0,(function(){var t,e;return _x(this,(function(n){switch(n.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return[4,n.sent().next()];case 2:if((t=n.sent()).done)throw new Error("No data was found for CSV parsing.");return e=t.value,[2,this.parseRow(e,!1)];case 3:return[2,null]}}))}))},e.prototype.iterator=function(){return Ox(this,void 0,void 0,(function(){var t,e=this;return _x(this,(function(n){switch(n.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:n.sent(),n.label=2;case 2:return[4,this.base.iterator()];case 3:return t=n.sent(),this.hasHeader&&(t=t.skip(1)),[2,t.map((function(t){return e.makeDataElement(t)}))]}}))}))},e.prototype.makeDataElement=function(t){for(var e=this.parseRow(t),n={},r={},a=0;a<this.fullColumnNames.length;a++){var i=this.fullColumnNames[a],o=this.columnConfigs?this.columnConfigs[i]:null;if(!this.configuredColumnsOnly||o){var s=e[a],u=null;if(""===s)if(o&&void 0!==o.default)u=o.default;else{if(o&&(o.required||o.isLabel))throw new Error("Required column "+i+" is empty in this line: "+t);u=void 0}else{var l=Number(s);if(isNaN(l))u=o&&"bool"===o.dtype?this.getBoolean(s):s;else if(o&&o.dtype)switch(o.dtype){case"float32":u=l;break;case"int32":u=Math.floor(l);break;case"bool":u=this.getBoolean(s);break;default:u=l}else u=l}o&&o.isLabel?r[i]=u:n[i]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},e.prototype.getBoolean=function(t){return"1"===t||"true"===t.toLowerCase()?1:0},e.prototype.parseRow=function(t,e){void 0===e&&(e=!0);for(var n=[],r=0,a=t.length,i=Tw,o=0;o<a;o++)switch(i){case Tw:switch(t.charAt(o)){case Aw:r=o+1,i=Dw;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),i=Tw;break;default:i=Rw,r=o}break;case Rw:switch(t.charAt(o)){case this.delimiter:n.push(t.substring(r,o)),i=Tw,r=o+1}break;case Dw:switch(t.charAt(o)){case Aw:i=Ow}break;case Ow:switch(t.charAt(o)){case this.delimiter:n.push(t.substring(r,o-1)),i=Tw,r=o+1;break;case Aw:i=Dw;break;default:i=_w}break;case _w:switch(t.charAt(o)){case Aw:i=Dw}}if(i===Ow?n.push(t.substring(r,a-1)):n.push(t.substring(r)),e&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+n);return n},e}(ww),Mw=function(t){function e(e){var n=t.call(this)||this;n.microphoneConfig=e,n.isClosed=!1,n.fftSize=e.fftSize||1024;var r=Math.log2(n.fftSize);if(n.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got "+n.fftSize);if(n.numFrames=e.numFramesPerSpectrogram||43,n.sampleRateHz=e.sampleRateHz,n.columnTruncateLength=e.columnTruncateLength||n.fftSize,n.audioTrackConstraints=e.audioTrackConstraints,n.smoothingTimeConstant=e.smoothingTimeConstant||0,n.includeSpectrogram=!1!==e.includeSpectrogram,n.includeWaveform=!0===e.includeWaveform,!n.includeSpectrogram&&!n.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return n}return Dx(e,t),e.prototype.summary=function(){return"microphone"},e.create=function(t){return void 0===t&&(t={}),Ox(this,void 0,void 0,(function(){var n;return _x(this,(function(r){switch(r.label){case 0:if(c().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return[4,(n=new e(t)).start()];case 1:return r.sent(),[2,n]}}))}))},e.prototype.start=function(){return Ox(this,void 0,void 0,(function(){var t,e,n,r;return _x(this,(function(a){switch(a.label){case 0:return a.trys.push([0,2,,3]),t=this,[4,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})];case 1:return t.stream=a.sent(),[3,3];case 2:throw e=a.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]}}))}))},e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){var t,e,n,r,a;return _x(this,(function(i){switch(i.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return n=i.sent(),this.includeSpectrogram&&(r=this.flattenQueue(n.freqDataQueue),t=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(a=this.flattenQueue(n.timeDataQueue),e=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:t,waveform:e},done:!1}]}}))}))},e.prototype.capture=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}}))}))},e.prototype.getAudioData=function(){return Ox(this,void 0,void 0,(function(){var t,e,n,r=this;return _x(this,(function(a){return t=[],e=[],n=0,[2,new Promise((function(a){var i=setInterval((function(){r.includeSpectrogram&&(r.analyser.getFloatFrequencyData(r.freqData),r.freqData[0]===-1/0&&a({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(i),a({freqDataQueue:t,timeDataQueue:e}))}),r.fftSize/r.sampleRateHz*1e3)}))]}))}))},e.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},e.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},e.prototype.getSampleRate=function(){return this.sampleRateHz},e.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},e.prototype.getTensorFromAudioDataArray=function(t,e){var n=new Float32Array(pt.sizeFromShape(e));return n.set(t,n.length-t.length),Rn(n,e)},e}(aw),zw=function(t){function e(e,n){var r=t.call(this)||this;if(r.webcamVideoElement=e,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=_n([0],"int32"),r.webcamConfig.centerCrop){var a=1*r.webcamConfig.resizeWidth/r.webcamVideoElement.width,i=1*r.webcamConfig.resizeHeight/r.webcamVideoElement.height,o=(1-a)/2,s=(1-i)/2,u=o+a,l=i+s;r.cropBox=Fn([s,o,l,u],[1,4])}else r.cropBox=Fn([0,0,1,1],[1,4]);return r}return Dx(e,t),e.prototype.summary=function(){return"webcam"},e.create=function(t,n){return void 0===n&&(n={}),Ox(this,void 0,void 0,(function(){var r;return _x(this,(function(a){switch(a.label){case 0:if(c().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!n.resizeWidth||!n.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=n.resizeWidth,t.height=n.resizeHeight}return[4,(r=new e(t,n)).start()];case 1:return a.sent(),[2,r]}}))}))},e.prototype.start=function(){return Ox(this,void 0,void 0,(function(){var t,e,n=this;return _x(this,(function(r){switch(r.label){case 0:this.webcamConfig.facingMode&&pt.assert("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: "+n.webcamConfig.facingMode+". 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_x(this,(function(e){if(this.isClosed)return[2,{value:null,done:!0}];try{t=lf.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]}))}))},e.prototype.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},e.prototype.cropAndResizeFrame=function(t){var e=this;return $e((function(){var n,r=t.toFloat().expandDims(0),a=(n=Tp.cropAndResize(r,e.cropBox,e.cropBoxInd,e.cropSize,"bilinear")).shape;return n.reshape(a.slice(1))}))},e.prototype.capture=function(){return Ox(this,void 0,void 0,(function(){return _x(this,(function(t){switch(t.label){case 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Dx(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},e.prototype.pump=function(){return Ox(this,void 0,void 0,(function(){var t,e,n,r,a;return _x(this,(function(i){switch(i.label){case 0:return[4,this.upstream.next()];case 1:if((t=i.sent()).done)return""===this.carryover?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for((e=t.value.split(this.separator))[0]=this.carryover+e[0],n=0,r=e.slice(0,-1);n<r.length;n++)a=r[n],this.outputQueue.push(a);return this.carryover=e[e.length-1],[2,!0]}}))}))},e}(mw),Vw=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Dx(e,t),e.prototype.decodeUTF8=function(){return new Uw(this)},e}(aw),Uw=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.impl=new jw(e),n}return Dx(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return Ox(this,void 0,void 0,(function(){return 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