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To get the original bytes, call tensor.bytes().")}return e},t.prototype.bytes=function(){return O(this,void 0,void 0,function(){var e;return H(this,function(n){switch(n.label){case 0:return this.throwIfDisposed(),[4,Ve().read(this.dataId)];case 1:return e=n.sent(),this.dtype==="string"?[2,e]:[2,new Uint8Array(e.buffer)]}})})},t.prototype.dispose=function(){if(this.isDisposed)return;Ve().disposeTensor(this),this.isDisposedInternal=!0},Object.defineProperty(t.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),t.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},t.prototype.print=function(e){return e===void 0&&(e=!1),Xe.print(this,e)},t.prototype.clone=function(){return this.throwIfDisposed(),Xe.clone(this)},t.prototype.toString=function(e){e===void 0&&(e=!1);var n=this.dataSync();return ce(n,this.shape,this.dtype,e)},t.prototype.cast=function(e){return this.throwIfDisposed(),Xe.cast(this,e)},t.prototype.variable=function(e,n,a){return e===void 0&&(e=!0),this.throwIfDisposed(),Ve().makeVariable(this,e,n,a)},t}();Object.defineProperty($,Symbol.hasInstance,{value:function(t){return!!t&&t.data!=null&&t.dataSync!=null&&t.throwIfDisposed!=null}});var et=function(t){ke(e,t);function e(n,a,c,d){var y=t.call(this,n.shape,n.dtype,n.dataId,d)||this;return y.trainable=a,y.name=c,y}return e.prototype.assign=function(n){if(n.dtype!==this.dtype)throw new Error("dtype of the new value ("+n.dtype+") and "+("previous value ("+this.dtype+") must match"));if(!it(n.shape,this.shape))throw new Error("shape of the new value ("+n.shape+") and "+("previous value ("+this.shape+") must match"));Ve().disposeTensor(this),this.dataId=n.dataId,Ve().incRef(this,null)},e.prototype.dispose=function(){Ve().disposeVariable(this),this.isDisposedInternal=!0},e}($);Object.defineProperty(et,Symbol.hasInstance,{value:function(t){return t instanceof $&&t.assign!=null&&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"}(N.Rank||(N.Rank={}));var gt;(function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"})(gt||(gt={}));var lt;(function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"})(lt||(lt={}));var _t;(function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"})(_t||(_t={}));var At;(function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"})(At||(At={}));var Lt={float32:_t,int32:gt,bool:lt,complex64:At};function Pt(t,e){if(t==="string"||e==="string"){if(t==="string"&&e==="string")return"string";throw new Error("Can not upcast "+t+" with "+e)}return Lt[t][e]}function Ut(t){return Pt(t,"int32")}function Nt(t,e){if(t.dtype===e.dtype)return[t,e];var n=Pt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Kt(t,e){W(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and"+(" second("+e.dtype+") input must match")})}function Ht(t,e){return e.some(function(n){return n.id===t.id})}function Ot(t){var e=[],n=new Set;return Rt(t,e,n),e}function Rt(t,e,n){if(t==null)return;if(t instanceof $){e.push(t);return}if(!wt(t))return;var a=t;for(var c in a){var d=a[c];n.has(d)||(n.add(d),Rt(d,e,n))}}function wt(t){return Array.isArray(t)||typeof t=="object"}var Et={__proto__:null,makeTypesMatch:Nt,assertTypesMatch:Kt,isTensorInList:Ht,getTensorsInContainer:Ot},Vt=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 e in this.registeredVariables)this.registeredVariables[e].dispose()},t}(),jt=function(){function t(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Vt}return t.prototype.ready=function(){return O(this,void 0,void 0,function(){var e,n,a,c;return H(this,function(d){switch(d.label){case 0:if(this.pendingBackendInit!=null)return[2,this.pendingBackendInit.then(function(){})];if(this.backendInstance!=null)return[2];e=this.getSortedBackends(),n=0,d.label=1;case 1:return n<e.length?(a=e[n],[4,this.initializeBackend(a).success]):[3,5];case 2:return c=d.sent(),c?[4,this.setBackend(a)]:[3,4];case 3:return d.sent(),[2];case 4:return n++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(t.prototype,"backend",{get:function(){if(this.pendingBackendInit!=null)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(this.backendInstance==null){var e=this.initializeBackendsAndReturnBest(),n=e.name,a=e.asyncInit;if(a)throw new Error("The highest priority backend '"+n+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(n)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(e){if(!(e in this.registry))if(e in this.registryFactory){var n=this.initializeBackend(e).asyncInit;if(n)return null}else return null;return this.registry[e]},t.prototype.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},t.prototype.registerBackend=function(e,n,a){return a===void 0&&(a=1),e in this.registryFactory?(console.warn(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:n,priority:a},!0)},t.prototype.setBackend=function(e){return O(this,void 0,void 0,function(){var n,a,c,d,y;return H(this,function(v){switch(v.label){case 0:if(this.registryFactory[e]==null)throw new Error("Backend name '"+e+"' not found in registry");return this.backendName=e,this.registry[e]==null?(this.backendInstance=null,n=this.initializeBackend(e),a=n.success,c=n.asyncInit,c?[4,a]:[3,2]):[3,4];case 1:return y=v.sent(),[3,3];case 2:y=a,v.label=3;case 3:if(d=y,!d)return[2,!1];v.label=4;case 4:return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new ue(this.backendInstance),[2,!0]}})})},t.prototype.setupRegisteredKernels=function(){var e=this,n=vs(this.backendName);n.forEach(function(a){a.setupFunc!=null&&a.setupFunc(e.backendInstance)})},t.prototype.disposeRegisteredKernels=function(e){var n=this,a=vs(e);a.forEach(function(c){c.disposeFunc!=null&&c.disposeFunc(n.registry[e])})},t.prototype.initializeBackend=function(e){var n=this,a=this.registryFactory[e];if(a==null)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var c=a.factory();if(c&&!(c instanceof Ae)&&typeof c.then=="function"){var d=++this.pendingBackendInitId,y=c.then(function(v){return d<n.pendingBackendInitId?!1:(n.registry[e]=v,n.pendingBackendInit=null,!0)}).catch(function(v){return d<n.pendingBackendInitId||(n.pendingBackendInit=null,console.warn("Initialization of backend "+e+" failed"),console.warn(v.stack||v.message)),!1});return this.pendingBackendInit=y,{success:y,asyncInit:!0}}else return this.registry[e]=c,{success:!0,asyncInit:!1}}catch(v){return console.warn("Initialization of backend "+e+" failed"),console.warn(v.stack||v.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var e=this;if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(n,a){return e.registryFactory[a].priority-e.registryFactory[n].priority})},t.prototype.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),n=0;n<e.length;n++){var a=e[n],c=this.initializeBackend(a),d=c.success,y=c.asyncInit;if(y||d)return{name:a,asyncInit:y}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(e,n){var a=this.state.tensorInfo.get(n),c=a.backend,d=this.readSync(n);c.disposeData(n),a.backend=e,e.move(n,d,a.shape,a.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(e,n){var a=this,c=null;if(n==null){if(typeof e!="function")throw new Error("Please provide a function to tidy()");n=e}else{if(typeof e!="string"&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof n!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");c=e}var d;return this.scopedRun(function(){return a.startScope(c)},function(){return a.endScope(d)},function(){return d=n(),d instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),d})},t.prototype.scopedRun=function(e,n,a){e();try{var c=a();return n(),c}catch(d){throw n(),d}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(e){var n=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),a={x:e},c=function(y){return{x:function(){var v="float32",_={x:y},C={dtype:v};return Ie.runKernelFunc(function(D){return D.cast(y,v)},_,null,X,C)}}},d=[];return this.addTapeNode(this.state.activeScope.name,a,[n],c,d,{}),n},t.prototype.runKernel=function(e,n,a,c,d){var y=null,v=null;return this.runKernelFunc(y,n,v,e,a,c,d)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(e,n,a){var c=this.backend.numDataIds(),d=0;a.forEach(function(_){d+=_.dtype==="complex64"?3:1});var y=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],v=c-n-d-y;if(v>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak "+("("+v+" data ids) after running '"+e+"'"))},t.prototype.runKernelFunc=function(e,n,a,c,d,y,v){var _=this,C,D=[],B=this.isTapeOn();c==null&&(c=this.state.activeScope!=null?this.state.activeScope.name:"");var U=this.state.numBytes,J=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var fe,Pe=Bs(c,this.backendName),Me;if(Pe!=null)fe=function(){var It=_.backend.numDataIds();Me=Pe.kernelFunc({inputs:n,attrs:d,backend:_.backend});var Ct=Array.isArray(Me)?Me:[Me];_.shouldCheckForMemLeaks()&&_.checkKernelForMemLeak(c,It,Ct);var Bt=Ct.map(function(mr){var Gr=mr.dataId,en=mr.shape,Qr=mr.dtype;return _.makeTensorFromDataId(Gr,en,Qr)});if(B){var sr=_.getTensorsForGradient(c,n,Bt);if(sr==null){v==null&&(v=[]);var er=Bt.filter(function(mr,Gr){return v[Gr]});sr=(y||[]).slice().concat(er)}D=_.saveTensorsForBackwardMode(sr)}return Bt};else{var He=function(It){if(!B)return;D=It.map(function(Ct){return _.keep(_.clone(Ct))})};fe=function(){var It=_.backend.numDataIds();Me=_.tidy(function(){return e(_.backend,He)});var Ct=Array.isArray(Me)?Me:[Me];return _.shouldCheckForMemLeaks()&&_.checkKernelForMemLeak(c,It,Ct),Ct}}var ct;return this.scopedRun(function(){return _.state.kernelDepth++},function(){return _.state.kernelDepth--},function(){!_.ENV.getBool("DEBUG")&&!_.state.profiling?C=fe():(ct=_.profiler.profileKernel(c,n,function(){return fe()}),_.ENV.getBool("DEBUG")&&_.profiler.logKernelProfile(ct),C=ct.outputs)}),B&&this.addTapeNode(c,n,C,a,D,d),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-U,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-J,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(n).map(function(It){return n[It]!=null?n[It].shape:null}),outputShapes:C.map(function(It){return It.shape}),kernelTimeMs:ct.timeMs,extraInfo:ct.extraInfo}),Array.isArray(Me)?C:C[0]},t.prototype.saveTensorsForBackwardMode=function(e){var n=this,a=e.map(function(c){return n.keep(n.clone(c))});return a},t.prototype.getTensorsForGradient=function(e,n,a){var c=Ws(e);if(c!=null){var d=c.inputsToSave||[],y=c.outputsToSave||[],v=void 0;c.saveAllInputs?(W(Array.isArray(n),function(){return"saveAllInputs is true, expected inputs to be an array."}),v=Object.keys(n).map(function(C){return n[C]})):v=d.map(function(C){return n[C]});var _=a.filter(function(C,D){return y[D]});return v.concat(_)}return null},t.prototype.makeTensor=function(e,n,a,c){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");a=a||"float32",c=c||this.backend;var d=e;a==="string"&&yn(e[0])&&(d=e.map(function(D){return Xi(D)}));var y=c.write(d,n,a),v=new $(n,a,y,this.nextTensorId());if(this.incRef(v,c),a==="string"){var _=this.state.tensorInfo.get(y),C=Na(d);this.state.numBytes+=C-_.bytes,_.bytes=C}return v},t.prototype.makeTensorFromDataId=function(e,n,a,c){a=a||"float32";var d=new $(n,a,e,this.nextTensorId());return this.incRef(d,c),d},t.prototype.makeVariable=function(e,n,a,c){n===void 0&&(n=!0),a=a||this.nextVariableId().toString(),c!=null&&c!==e.dtype&&(e=e.cast(c));var d=new et(e,n,a,this.nextTensorId());if(this.state.registeredVariables[d.name]!=null)throw new Error("Variable with name "+d.name+" was already registered");return this.state.registeredVariables[d.name]=d,this.incRef(d,this.backend),d},t.prototype.incRef=function(e,n){var a=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++,a===0){this.state.numDataBuffers++;var c=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(c=e.size*Wa(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:n||this.backend,dtype:e.dtype,shape:e.shape,bytes:c,refCount:0}),this.state.numBytes+=c}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof et||this.track(e)},t.prototype.disposeTensor=function(e){if(!this.state.tensorInfo.has(e.dataId))return;this.state.numTensors--,e.dtype==="string"&&this.state.numStringTensors--;var n=this.state.tensorInfo.get(e.dataId),a=n.refCount;a<=1?(e.dtype!=="complex64"&&(this.state.numBytes-=n.bytes),this.state.numDataBuffers--,n.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--},t.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var n=this.state.registeredVariables[e];this.disposeVariable(n)}},t.prototype.disposeVariable=function(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]},t.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},t.prototype.profile=function(e){return O(this,void 0,void 0,function(){var n,a,c,d,y,v,_,C;return H(this,function(D){switch(D.label){case 0:return this.state.profiling=!0,n=this.state.numBytes,a=this.state.numTensors,this.state.activeProfile.kernels=[],c=this.state.activeProfile,[4,e()];case 1:c.result=D.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(B){return B.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-a,d=0,y=this.state.activeProfile.kernels,D.label=2;case 2:return d<y.length?(v=y[d],_=v,[4,v.kernelTimeMs]):[3,6];case 3:return _.kernelTimeMs=D.sent(),C=v,[4,v.extraInfo];case 4:C.extraInfo=D.sent(),D.label=5;case 5:return d++,[3,2];case 6:return[2,this.state.activeProfile]}})})},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&this.state.kernelDepth===0},t.prototype.addTapeNode=function(e,n,a,c,d,y){var v=this,_={id:this.state.nextTapeNodeId++,kernelName:e,inputs:n,outputs:a,saved:d},C=Ws(e);C!=null&&(c=C.gradFunc),c!=null&&(_.gradient=function(D){return D=D.map(function(B,U){if(B==null){var J=a[U],fe=ha(J.size,J.dtype);return v.makeTensor(fe,J.shape,J.dtype)}return B}),c(D.length>1?D:D[0],d,y)}),this.state.activeTape.push(_)},t.prototype.keep=function(e){return e.kept=!0,e},t.prototype.startTape=function(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(e){var n={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(n.name=e),this.state.scopeStack.push(n),this.state.activeScope=n},t.prototype.endScope=function(e){for(var n=this,a=Ot(e),c=new Set(a.map(function(_){return _.id})),d=0;d<this.state.activeScope.track.length;d++){var y=this.state.activeScope.track[d];!y.kept&&!c.has(y.id)&&y.dispose()}var v=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],a.forEach(function(_){!_.kept&&_.scopeId===v.id&&n.track(_)})},t.prototype.gradients=function(e,n,a,c){var d=this;if(c===void 0&&(c=!1),W(n.length>0,function(){return"gradients() received an empty list of xs."}),a!=null&&a.dtype!=="float32")throw new Error("dy must have 'float32' dtype, but has '"+a.dtype+"'");var y=this.scopedRun(function(){return d.startTape()},function(){return d.endTape()},function(){return d.tidy("forward",e)});W(y instanceof $,function(){return"The result y returned by f() must be a tensor."});var v=A(this.state.activeTape,n,y);if(!c&&v.length===0&&n.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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U=a.accumulatedFirstMoment[_].variable,J=a.accumulatedWeightedInfNorm[_].variable,fe=Cr(bt(U,a.beta1),bt(B,1-a.beta1)),Pe=bt(J,a.beta2),Me=ui(B),He=ol(Pe,Me);U.assign(fe),J.assign(He);var ct=Cr(bt(Br(y,d),Br(fe,Cr(He,a.epsilon))),C);C.assign(ct)}),a.iteration.assign(Cr(a.iteration,1)),a.accBeta1.assign(bt(a.accBeta1,a.beta1))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Pa(this.accumulatedFirstMoment.map(function(n){return n.variable})),this.accumulatedWeightedInfNorm!=null&&Pa(this.accumulatedWeightedInfNorm.map(function(n){return n.variable}))},e.prototype.getWeights=function(){return O(this,void 0,void 0,function(){return H(this,function(n){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(n){return O(this,void 0,void 0,function(){return H(this,function(a){throw new Error("setWeights() is not implemented for Adamax 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o=0,h=u;o<h.length;o++){var b=h[o];this.add(b.key,b.value)}}}return s.prototype.add=function(u,r,o){if(this.id2Value[u.id]==null)this.id2Value[u.id]=es(u,r),this.name2Id[u.name]=u.id,o!=null&&(this.id2Mask[u.id]=o);else throw new w("Duplicate key: name="+u.name+", id="+u.id);return this},s.prototype.addFeed=function(u){this.add(u.key,u.value)},s.prototype.hasKey=function(u){return this.id2Value[u.id]!=null},s.prototype.names=function(){return Object.keys(this.name2Id)},s.prototype.getValue=function(u){if(u instanceof ba){if(this.id2Value[u.id]==null)throw new w("Nonexistent key: "+u.name);return this.id2Value[u.id]}else{var r=this.name2Id[u];if(r==null)throw new w("Feed dict has no SymbolicTensor name: "+u);return this.id2Value[r]}},s.prototype.getMask=function(u){if(u instanceof ba){if(this.id2Value[u.id]==null)throw new w("Nonexistent key: "+u.name);return this.id2Mask[u.id]}else{var r=this.name2Id[u];if(r==null)throw new w("Feed dict has no SymbolicTensor name: "+u);return this.id2Mask[r]}},s.prototype.disposeMasks=function(){this.id2Mask!=null&&i.dispose(this.id2Mask)},s}(),Lo={},zo={};function Xi(s,u,r,o){for(var h=r==null?!1:r.training,b=Array.isArray(s),T=b?s:[s],M=T.map(function(Hr){return Hr.name}),q=[],Y=u.names(),le=0,Ne=M;le<Ne.length;le++){var We=Ne[le];Y.indexOf(We)!==-1?q.push(u.getValue(We)):q.push(null)}o!=null&&(o.maxNumTensors=-Infinity,o.minNumTensors=Infinity);var je=M.join(",")+"|"+u.names().join(","),qe,mt;if(Lo[je]==null){var pt=ts(T,u);qe=pt.sorted,mt=pt.recipientCounts,Lo[je]=qe,zo[je]=mt}qe=Lo[je],mt={},h||Object.assign(mt,zo[je]);for(var st=new Si(u),dt=0;dt<qe.length;++dt){if(o!=null){var Dt=i.memory().numTensors;Dt>o.maxNumTensors&&(o.maxNumTensors=Dt),Dt<o.minNumTensors&&(o.minNumTensors=Dt)}var or=qe[dt],Xt=or.sourceLayer;if(Xt instanceof La)continue;for(var Jt=[],vr=[],lr=[],Ir=!1,Lr=0,kr=or.inputs;Lr<kr.length;Lr++){var Sr=kr[Lr],fn=st.getValue(Sr),Xr=st.getMask(Sr);Jt.push(fn),vr.push(Xr),Xr!=null&&(Ir=!0),h||(mt[Sr.name]--,mt[Sr.name]===0&&!u.hasKey(Sr)&&M.indexOf(Sr.name)===-1&&!fn.isDisposed&&Sr.sourceLayer.stateful!==!0&&lr.push(fn))}Ir&&(r=r||{},r.mask=vr[0]);var $t=Qe(Xt.apply(Jt,r)),On=null;Xt.supportsMasking&&(On=Xt.computeMask(Jt,vr));for(var En=E(or),kn=Array.isArray(En)?En:[En],cn=0;cn<kn.length;++cn){st.hasKey(kn[cn])||st.add(kn[cn],$t[cn],Array.isArray(On)?On[0]:On);var Mn=M.indexOf(kn[cn].name);Mn!==-1&&(q[Mn]=$t[cn])}h||i.dispose(lr)}return st.disposeMasks(),b?q:q[0]}function ts(s,u){i.util.assert(s!=null&&s.length>0,function(){return"Expected at least one fetch, got none"});var r=[],o={};if(s.length===1){var h=ue(s[0],u);r=h.sorted,o=h.recipientMap}else for(var b=new Set,T=0,M=s;T<M.length;T++){for(var q=M[T],Y=ue(q,u),le=Y.sorted,Ne=Y.recipientMap,We=0,je=le;We<je.length;We++){var qe=je[We];b.has(qe.name)||(r.push(qe),b.add(qe.name))}var mt=function(st){o[st]==null&&(o[st]=new Set),Ne[st].forEach(function(dt){return o[st].add(dt)})};for(var pt in Ne)mt(pt)}return{sorted:r,recipientCounts:ne(o)}}function ne(s){var u={};for(var r in s)u[r]=s[r].size;return u}function ue(s,u){for(var r=new Set,o=[],h={},b=0,T=u.names();b<T.length;b++){var M=T[b];r.add(M)}var q=[],Y=[];for(q.push(s);q.length>0;){var le=q[q.length-1];if(r.has(le.name)){q.pop();continue}var Ne=Y[Y.length-1]===q.length-1;if(le.inputs.length===0||Ne)q.pop(),o.push(le),r.add(le.name),Ne&&Y.pop();else{Y.push(q.length-1);for(var We=0,je=le.inputs;We<je.length;We++){var qe=je[We];if(h[qe.name]==null&&(h[qe.name]=new Set),h[qe.name].add(le.name),r.has(qe.name))continue;q.push(qe)}}}return{sorted:o,recipientMap:h}}function E(s){var u;if(s.sourceLayer.inboundNodes.length===1)u=s.sourceLayer.output;else{for(var r=null,o=0;o<s.sourceLayer.inboundNodes.length;++o)for(var h=0,b=s.sourceLayer.inboundNodes[o].outputTensors;h<b.length;h++){var T=b[h];if(T.id===s.id){r=o;break}}u=s.sourceLayer.getOutputAt(r)}return u}var F=function(s){O(u,s);function u(r){var o=s.call(this,{})||this;if(o.containerNodes=new Set,o.name=r.name,o.name==null){var h=o.getClassName().toLowerCase();o.name=Fr(h)}if(o.supportsMasking=!1,o.trainable_=!0,Array.isArray(r.inputs)?o.inputs=r.inputs.slice():o.inputs=[r.inputs],Array.isArray(r.outputs)?o.outputs=r.outputs.slice():o.outputs=[r.outputs],qt(o.inputs).length!==o.inputs.length)throw new w("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+(""+o.inputs.map(function(Wn){return Wn.name})));qt(o.outputs).length!==o.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+(""+o.outputs.map(function(Wn){return Wn.name}))),o.inputLayers=[],o.inputLayersNodeIndices=[],o.inputLayersTensorIndices=[],o.outputLayers=[],o.outputLayersNodeIndices=[],o.outputLayersTensorIndices=[],o.layers=[],o.internalContainerRefs=[];for(var b=0,T=o.outputs;b<T.length;b++){var M=T[b],q=M.sourceLayer,Y=M.nodeIndex,le=M.tensorIndex;o.outputLayers.push(q),o.outputLayersNodeIndices.push(Y),o.outputLayersTensorIndices.push(le)}for(var Ne=0,We=o.inputs;Ne<We.length;Ne++){var M=We[Ne],q=M.sourceLayer,Y=M.nodeIndex,le=M.tensorIndex;tt(Y===0,"input layer has >1 nodes"),tt(le===0,"input layer has >1 tensors"),o.inputLayers.push(q),o.inputLayersNodeIndices.push(Y),o.inputLayersTensorIndices.push(le)}o.inputNames=[],o.outputNames=[],o.feedInputShapes=[],o.feedInputNames=[],o.feedOutputNames=[];for(var je=0;je<o.inputLayers.length;je++){var q=o.inputLayers[je];if(!(q instanceof La))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. "+("Received inputs: "+r.inputs+". ")+("Input "+je+" (0-based) originates ")+("from layer type "+q.getClassName()+"."));o.inputNames.push(q.name),o.feedInputShapes.push(q.batchInputShape),o.feedInputNames.push(q.name)}for(var qe=0,mt=o.outputLayers;qe<mt.length;qe++){var q=mt[qe];o.outputNames.push(q.name)}o.internalInputShapes=o.inputs.map(function(Wn){return Wn.shape}),o.internalOutputShapes=o.outputs.map(function(Wn){return Wn.shape});for(var pt={},st={},dt={},Dt={},or={},Xt=[],Jt=function(Wn,Is,gi,qo,Ns,kh){(qo==null||Ns==null||kh==null)&&(qo=Wn.sourceLayer,Ns=Wn.nodeIndex,kh=Wn.tensorIndex);var Ti=qo.inboundNodes[Ns];if(gi.indexOf(Ti)!==-1)throw new ae("The tensor "+Wn.name+' at layer "'+qo.name+'" is part of a cycle.');if(Is.indexOf(Ti)!==-1)return;o.containerNodes.add(u.nodeKey(qo,Ns)),qo.id in or||(or[qo.id]=Object.keys(or).length),gi.indexOf(Ti)===-1&&gi.push(Ti);for(var tp=Ti.inboundLayers.length,Xs=0;Xs<tp;Xs++){var rp=Ti.inputTensors[Xs],np=Ti.inboundLayers[Xs],ap=Ti.nodeIndices[Xs],Sh=Ti.tensorIndices[Xs];Jt(rp,Is,gi,np,ap,Sh)}for(Is.push(Ti);gi.indexOf(Ti)>=0;)gi.splice(gi.indexOf(Ti),1);Xt.push(Ti)},vr=[],lr=[],Ir=0,Lr=o.outputs;Ir<Lr.length;Ir++){var M=Lr[Ir];Jt(M,vr,lr)}for(var kr=Xt.slice().reverse(),Sr=0,fn=kr;Sr<fn.length;Sr++){var Xr=fn[Sr];st[Xr.id]=Xr,Xr.id in pt||(pt[Xr.id]=0);var $t=pt[Xr.id],On=dt[Xr.outboundLayer.id]==null?0:dt[Xr.outboundLayer.id];$t=Math.max($t,On),dt[Xr.outboundLayer.id]=$t,Dt[Xr.outboundLayer.id]=Xr.outboundLayer,pt[Xr.id]=$t;for(var je=0;je<Xr.inboundLayers.length;je++){var En=Xr.inboundLayers[je],Y=Xr.nodeIndices[je],kn=En.inboundNodes[Y],cn=pt[kn.id]==null?0:pt[kn.id];pt[kn.id]=Math.max($t+1,cn),st[kn.id]=kn}}var Mn={};for(var Hr in pt){var $t=pt[Hr];$t in Mn||(Mn[$t]=[]),Mn[$t].push(st[Hr])}var ua={};for(var Ci in dt){var $t=dt[Ci];$t in ua||(ua[$t]=[]),ua[$t].push(Dt[Ci])}var Ui=Object.keys(ua).map(function(Wn){return parseInt(Wn,10)}).sort(ar);o.layers=[];for(var Xn=0,$i=Ui;Xn<$i.length;Xn++){var $t=$i[Xn],Vi=ua[$t];Vi.sort(function(Is,gi){var qo=or[Is.id],Ns=or[gi.id];return qo<Ns?-1:qo>Ns?1:0});for(var Ks=0,Zu=Vi;Ks<Zu.length;Ks++){var q=Zu[Ks];q instanceof u&&o.internalContainerRefs.push(q),o.layers.push(q)}}o.layersByDepth=ua,Ui=Object.keys(Mn).map(function(Wn){return parseInt(Wn,10)}).sort(ar);for(var al=o.inputs.slice(),_h=[],rh=0,Ju=Ui;rh<Ju.length;rh++)for(var $t=Ju[rh],nh=0,ah=Mn[$t];nh<ah.length;nh++){var Xr=ah[nh],q=Xr.outboundLayer;if(q!=null){for(var ih=0,oh=Xr.inputTensors;ih<oh.length;ih++){var M=oh[ih];if(al.indexOf(M)===-1)throw new ae("Graph disconnected: cannot obtain value for tensor "+M+(' at layer "'+q.name+'". ')+"The following previous layers were accessed without "+("issue: "+_h))}for(var sh=0,wh=Xr.outputTensors;sh<wh.length;sh++){var M=wh[sh];al.push(M)}_h.push(q.name)}}o.nodesByDepth=Mn;for(var uh=o.layers.map(function(Wn){return Wn.name}),$h=function(Wn){var Is=uh.filter(function(gi){return gi===Wn}).length;if(Is!==1)throw new ae('The name "'+Wn+'" is used '+Is+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(uh))},ch=0,bh=uh;ch<bh.length;ch++){var ep=bh[ch];$h(ep)}return o.outboundNodes=[],o.inboundNodes=[],new yi({outboundLayer:o,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:o.inputs,outputTensors:o.outputs,inputMasks:o.inputs.map(function(Wn){return null}),outputMasks:o.outputs.map(function(Wn){return null}),inputShapes:o.inputs.map(function(Wn){return Wn.shape}),outputShapes:o.outputs.map(function(Wn){return Wn.shape})}),o.built=!0,o._refCount=1,o}return u.prototype.assertNotDisposed=function(){if(this._refCount===0)throw new Error("Container '"+this.name+"' is already disposed.")},u.prototype.dispose=function(){this.assertNotDisposed();var r={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(var o=0,h=this.layers;o<h.length;o++){var b=h[o];r.numDisposedVariables+=b.dispose().numDisposedVariables}for(var T=0,M=this.internalContainerRefs;T<M.length;T++){var q=M[T];r.numDisposedVariables+=q.dispose().numDisposedVariables}}return r.refCountAfterDispose=this._refCount,r},Object.defineProperty(u.prototype,"trainable",{get:function(){return this.trainable_},set:function(r){this.layers.forEach(function(o){o._trainableWeights.forEach(function(h){return h.trainable=r})}),this.trainable_=r},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new w("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 r=[],o=0,h=this.layers;o<h.length;o++){var b=h[o];r=r.concat(b.trainableWeights)}return r},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"nonTrainableWeights",{get:function(){for(var r=[],o=0,h=this.layers;o<h.length;o++){var b=h[o];r.push.apply(r,b.nonTrainableWeights)}if(!this.trainable){for(var T=[],M=0,q=this.layers;M<q.length;M++){var b=q[M];T.push.apply(T,b.trainableWeights)}return T.concat(r)}return r},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),u.prototype.loadWeights=function(r,o){o===void 0&&(o=!0);for(var h={},b=0,T=0,M=this.layers;T<M.length;T++)for(var q=M[T],Y=0,le=q.weights;Y<le.length;Y++){var Ne=le[Y];if(h[Ne.originalName]!=null)throw new w("Duplicate weight name: "+Ne.originalName);h[Ne.originalName]=Ne,b++}var We=[];for(var je in r){var qe=je;if(h[je]==null){var mt=je.split("/"),pt=mt.slice(0,-2).concat([mt[mt.length-1]]);qe=pt.join("/")}if(h[qe]!=null)We.push([h[qe],r[je]]);else if(o)throw new w("Provided weight data has no target variable: "+je);delete h[qe]}if(o){var st=[];for(var dt in h)st.push(dt);if(st.length>0)throw new w(st.length+" of "+b+" weights are not set: "+(""+st))}zi(We)},u.prototype.updatedConfig=function(){var r=this.getConfig(),o={};return o.className=this.getClassName(),o.config=r,o.kerasVersion="tfjs-layers "+gs,o.backend="TensorFlow.js",o},u.prototype.toJSON=function(r,o){o===void 0&&(o=!0);var h=Mo(this.updatedConfig());return o?JSON.stringify(h):h},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=Qe(r);for(var b=new Si,T=0;T<h.inputs.length;++T)b.add(h.inputs[T],r[T]);return Xi(h.outputs,b,o)})},u.prototype.computeMask=function(r,o){var h=this;return i.tidy(function(){r=Qe(r);var b;return o==null?b=nt(null,r.length):b=Qe(o),h.runInternalGraph(r,b)[1]})},u.prototype.computeOutputShape=function(r){var o=In(r);if(o.length!==this.inputLayers.length)throw new w("Invalid inputShape argument "+r+": "+("model has "+this.inputLayers.length+" tensor inputs."));for(var h={},b=0;b<o.length;b++){var T=this.inputLayers[b],M=o[b],q=T.name+"_0_0";h[q]=M}var Y=Object.keys(this.nodesByDepth).map(function(fn){return parseInt(fn,10)}).sort(ar);if(Y.length>1)for(var le=0,Ne=Y;le<Ne.length;le++)for(var We=Ne[le],je=this.nodesByDepth[We],qe=0,mt=je;qe<mt.length;qe++){var pt=mt[qe],T=pt.outboundLayer;if(this.inputLayers.map(function(Xr){return Xr.id}).indexOf(T.id)!==-1)continue;for(var st=[],dt=0;dt<pt.inboundLayers.length;dt++){var Dt=pt.inboundLayers[dt],or=pt.nodeIndices[dt],Xt=pt.tensorIndices[dt],q=Dt.name+"_"+or+"_"+Xt,Jt=h[q];st.push(Jt)}for(var vr=T.computeOutputShape(Tt(st)),lr=In(vr),Ir=T.inboundNodes.indexOf(pt),dt=0;dt<lr.length;dt++){var q=T.name+"_"+Ir+"_"+dt;h[q]=lr[dt]}}for(var Lr=[],kr=[],b=0;b<this.outputLayers.length;b++){var T=this.outputLayers[b],Ir=this.outputLayersNodeIndices[b],Xt=this.outputLayersTensorIndices[b],q=T.name+"_"+Ir+"_"+Xt;kr.push(q)}for(var b=0;b<kr.length;b++){var Sr=kr[b];tt(Sr in h),Lr.push(h[Sr])}return Tt(Lr)},u.prototype.runInternalGraph=function(r,o){o==null&&(o=nt(null,r.length));for(var h={},b=0;b<this.inputs.length;++b){var T=this.inputs[b],M=r[b],q=o[b];h[T.id]=[M,q]}for(var Y=Object.keys(this.nodesByDepth).map(function(ua){return parseInt(ua,10)}).sort(ar),le=0,Ne=Y;le<Ne.length;le++)for(var We=Ne[le],je=this.nodesByDepth[We],qe=0,mt=je;qe<mt.length;qe++){for(var pt=mt[qe],st=pt.outboundLayer,dt=pt.inputTensors,Dt=pt.outputTensors,or=new Array,Xt=0,Jt=dt;Xt<Jt.length;Xt++){var T=Jt[Xt];T.id in h&&or.push(h[T.id])}if(or.length===dt.length){var vr={},lr=void 0,Ir=void 0,Lr=void 0,kr=void 0;if(pt.callArgs!=null&&(vr=pt.callArgs),or.length===1){var Sr=or[0],fn=Sr[0],Xr=Sr[1];vr.mask==null&&(vr.mask=Xr),Lr=Qe(st.call(fn,vr)),kr=Qe(st.computeMask(fn,Xr)),lr=[fn],Ir=[Xr]}else lr=or.map(function(ua){return ua[0]}),Ir=or.map(function(ua){return ua[1]}),vr.mask==null&&(vr.mask=Ir),Lr=Qe(st.call(lr,vr)),kr=Qe(st.computeMask(lr,Ir));if(st.activityRegularizer)throw new ge("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var b=0;b<Dt.length;++b){var T=Dt[b],M=Lr[b],q=kr[b];h[T.id]=[M,q]}}}for(var $t=[],On=[],En=[],kn=0,cn=this.outputs;kn<cn.length;kn++){var T=cn[kn];tt(T.id in h,"Could not compute output "+T.name+" : "+T.id);var Mn=h[T.id],Hr=Mn[0],q=Mn[1];En.push(Hr.shape),$t.push(Hr),On.push(q)}return[$t,On,En]},u.prototype.buildNodeConversionMap=function(r){for(var o={},h,b=0,T=this.layers;b<T.length;b++){var M=T[b];h=M instanceof u?1:0;for(var q=0;q<M.inboundNodes.length;q++){var Y=u.nodeKey(M,q);this.containerNodes.has(Y)&&(o[Y]=h,h+=1)}}return o},u.prototype.getLayer=function(r,o){if(o!=null){if(this.layers.length<=o)throw new w("Was asked to retrieve layer at index "+o+", but model only "+("has "+this.layers.length+" layer(s)."));return this.layers[o]}else if(r==null)throw new w("Provide either a layer name or layer index");for(var h=0,b=this.layers;h<b.length;h++){var T=b[h];if(T.name===r)return T}throw new w("No such layer: "+r)},u.prototype.calculateLosses=function(){var r=this;return i.tidy(function(){for(var o=[],h=0,b=r.layers;h<b.length;h++)for(var T=b[h],M=0;M<T.inboundNodes.length;++M){var q=u.nodeKey(T,M);r.containerNodes.has(q)&&o.push.apply(o,T.calculateLosses())}return o})},u.prototype.getConfig=function(){for(var r={name:this.name},o=this.buildNodeConversionMap(this.layers),h=[],b=0,T=this.layers;b<T.length;b++){for(var M=T[b],q=M.getClassName(),Y=M.getConfig(),le=[],Ne=0;Ne<M.inboundNodes.length;Ne++){var We=M.inboundNodes[Ne],je=u.nodeKey(M,Ne),qe={};if(this.containerNodes.has(je)){if(We.callArgs)try{JSON.stringify(We.callArgs),qe=We.callArgs}catch(Ir){console.warn("Layer "+M.name+" was passed non-serializable keyword arguments: "+(We.callArgs+". 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Use LayersModel.compile(modelCompileConfig)."}),i.util.assert(r!=null,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),i.util.assert(r.epochs!=null&&r.epochs>0&&Number.isInteger(r.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive "+("integer, but got "+r.epochs)}),i.util.assert(!o||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+("positive integer if specified, but got "+r.batchesPerEpoch)}),i.util.assert(r.validationSplit==null,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),s.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");s.isTraining=!0,Hr.label=1;case 1:return Hr.trys.push([1,,26,27]),h=r.validationData!=null,b=void 0,T=void 0,h&&(Oe(r.validationData)?i.util.assert(r.validationBatches==null||r.validationBatches>0&&Number.isInteger(r.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+("but got "+r.validationBatches)}):(M=ye(r.validationData),b=M.xs,T=M.ys)),q=s.makeTrainFunction(),Y=s.getDedupedMetricsNames(),le=void 0,h?le=Y.slice().concat(Y.map(function(ua){return"val_"+ua})):le=Y.slice(),Ne=io(r.callbacks,r.yieldEvery),We=r.verbose==null?1:r.verbose,je=Pr(Ne,We,r.epochs,null,null,Re(u,r),null,h,le),qe=je.callbackList,mt=je.history,qe.setModel(s),s.history=mt,[4,qe.onTrainBegin()];case 2:return Hr.sent(),s.stopTraining_=!1,pt=r.initialEpoch==null?0:r.initialEpoch,[4,u.iterator()];case 3:st=Hr.sent(),Hr.label=4;case 4:return pt<r.epochs?(dt={},[4,qe.onEpochBegin(pt)]):[3,23];case 5:return Hr.sent(),Dt=0,or=0,o?[3,7]:[4,u.iterator()];case 6:st=Hr.sent(),Hr.label=7;case 7:return(o?Dt<r.batchesPerEpoch:!0)?[4,st.next()]:[3,21];case 8:return Xt=Hr.sent(),o&&Xt.done?(console.warn("You provided `batchesPerEpoch` as "+(r.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(Dt+" batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+(r.batchesPerEpoch*r.epochs+" batches). ")+"You may need to use the repeat() function when building your dataset."),[3,21]):Xt.value!=null?(Jt=ce(s,Xt.value),vr=Jt.xs,lr=Jt.ys,Ir={},Ir.batch=or,Ir.size=vr[0].shape[0],[4,qe.onBatchBegin(or,Ir)]):[3,15];case 9:if(Hr.sent(),Lr=[],!(r.classWeight!=null))return[3,13];kr=V(r.classWeight,s.outputNames),Sr=0,Hr.label=10;case 10:return Sr<kr.length?(Xr=(fn=Lr).push,[4,oe(lr[Sr],null,kr[Sr])]):[3,13];case 11:Xr.apply(fn,[Hr.sent()]),Hr.label=12;case 12:return++Sr,[3,10];case 13:for($t=vr.concat(lr).concat(Lr),On=q($t),i.dispose($t),Sr=0;Sr<Y.length;++Sr)En=Y[Sr],kn=On[Sr],Ir[En]=kn,i.keep(kn);return[4,qe.onBatchEnd(or,Ir)];case 14:Hr.sent(),Pi(Ir),or++,Dt++,Hr.label=15;case 15:return(o?Dt>=r.batchesPerEpoch:Xt.done)?h?(cn=void 0,Oe(r.validationData)?(Mn=Qe,[4,s.evaluateDataset(r.validationData,{batches:r.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return cn=Mn.apply(void 0,[Hr.sent()]),[3,18];case 17:cn=Qe(s.evaluate(b,T,{batchSize:r.validationBatchSize==null?_e:r.validationBatchSize,verbose:0})),Hr.label=18;case 18:for(Sr=0;Sr<s.metricsNames.length;++Sr)dt["val_"+s.metricsNames[Sr]]=cn[Sr];Hr.label=19;case 19:return[3,21];case 20:return s.stopTraining_?[3,21]:[3,7];case 21:return[4,qe.onEpochEnd(pt,dt)];case 22:return Hr.sent(),pt++,s.stopTraining_?[3,23]:[3,4];case 23:return[4,qe.onTrainEnd()];case 24:return Hr.sent(),[4,s.history.syncData()];case 25:return Hr.sent(),[2,s.history];case 26:return s.isTraining=!1,[7];case 27:return[2]}})})}function Re(s,u){var r=null;return u.batchesPerEpoch!=null?r=u.batchesPerEpoch:Number.isFinite(s.size)&&(r=s.size),r}function Oe(s){return typeof s.iterator=="function"}function Fe(s){return typeof s.next=="function"}function Ve(s,u,r){return xe(this,void 0,void 0,function(){var o,h,b,T,M,q,Y,le,Ne,We,je;return Q(this,function(qe){switch(qe.label){case 0:if(r=r||{},o=r.batches!=null,h=s.testFunction,b=[],r.verbose>0)throw new ge("Verbose mode is not implemented yet.");return i.util.assert(!o||r.batches>0&&Number.isInteger(r.batches),function(){return"Test loop expects `batches` to be a positive integer, but "+("received "+JSON.stringify(r.batches))}),Fe(u)?(M=u,[3,3]):[3,1];case 1:return[4,u.iterator()];case 2:M=qe.sent(),qe.label=3;case 3:T=M,q=0,Y=0,le=function(){var mt;return Q(this,function(pt){switch(pt.label){case 0:return[4,T.next()];case 1:return mt=pt.sent(),b=i.tidy(function(){if(mt.value){var st=ce(s,mt.value),dt=st.xs,Dt=st.ys,or=dt.concat(Dt),Xt=i.tidy(function(){return h(or)});if(i.dispose(or),Y===0)for(var Jt=0;Jt<Xt.length;++Jt)b.push(i.scalar(0));for(var vr=or[0].shape[0],lr=function(Lr){var kr=Xt[Lr],Sr=b[Lr];b[Lr]=i.tidy(function(){return i.add(b[Lr],i.mul(vr,kr))}),Y>0&&i.dispose(Sr)},Jt=0;Jt<Xt.length;++Jt)lr(Jt);i.dispose(Xt),q+=vr,++Y}return b}),mt.done?(o&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+r.batches+" batches). ")+"You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},qe.label=4;case 4:return(o?Y<r.batches:!0)?[5,le()]:[3,6];case 5:return Ne=qe.sent(),Ne==="break"?[3,6]:[3,4];case 6:for(We=0;We<b.length;++We)je=b[We],b[We]=i.div(b[We],q),i.dispose(je);return[2,Tt(b)]}})})}function Xe(s){i.util.assert(s>0&&Number.isInteger(s),function(){return"batchSize is required to be a positive integer, but got "+s})}function rt(s,u,r){return s==null?[null]:Array.isArray(s)?s.map(function(o){return Zn(o,u,r-u)}):Zn(s,u,r-u)}function at(s,u){return i.tidy(function(){return s==null?null:Array.isArray(s)?s.map(function(r){return at(r,u)}):X(s,u.dtype==="int32"?u:u.toInt())})}function $(s,u){for(var r=[],o=0,h=null;o<s;)h=o+u,h>=s&&(h=s),r.push([o,h]),o=h;return r}function et(s,u,r,o,h,b,T,M,q,Y,le,Ne,We,je,qe){return xe(this,void 0,void 0,function(){var mt,pt,st,dt,Dt,or,Xt,Jt,vr;return Q(this,function(lr){switch(lr.label){case 0:if(h==null&&(h=32),b==null&&(b=1),le==null&&(le=!0),We==null&&(We=0),mt=!1,q!=null&&Y!=null&&(mt=!0),qe!=null&&(mt=!0,je==null))throw new w("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return pt=s.checkNumSamples(r,h,je,"steps_per_epoch"),pt!=null&&(st=ln(0,pt)),T==null&&(T=1),dt=Pr(M,T,b,We,pt,je,h,mt,Ne),Dt=dt.callbackList,or=dt.history,Dt.setModel(s),s.history=or,[4,Dt.onTrainBegin()];case 1:lr.sent(),s.stopTraining_=!1,Xt=function(Ir){var Lr,kr,Sr,fn,Xr,$t;return Q(this,function(On){switch(On.label){case 0:return[4,Dt.onEpochBegin(Ir)];case 1:if(On.sent(),Lr={},!(je!=null))return[3,2];throw new ge("stepsPerEpoch mode is not implemented yet.");case 2:if(le==="batch")throw new ge("batch shuffling is not implemneted yet");le&&i.util.shuffle(st),kr=i.tensor1d(st),Sr=$(pt,h),fn=function(En){var kn;return Q(this,function(cn){switch(cn.label){case 0:return kn={},[4,Dt.onBatchBegin(En,kn)];case 1:return cn.sent(),i.tidy(function(){var Mn=Sr[En][0],Hr=Sr[En][1],ua=Zn(kr,Mn,Hr-Mn);kn.batch=En,kn.size=Hr-Mn;for(var Ci=at(r,ua),Ui=u(Ci),Xn=0;Xn<o.length;++Xn){var $i=o[Xn],Vi=Ui[Xn];kn[$i]=Vi,i.keep(Vi)}if(En===Sr.length-1&&mt)for(var Ks=s.testLoop(q,Y,h),Xn=0;Xn<o.length;++Xn){var $i=o[Xn],Vi=Ks[Xn];i.keep(Vi),Lr["val_"+$i]=Vi}}),[4,Dt.onBatchEnd(En,kn)];case 2:return cn.sent(),Pi(kn),s.stopTraining_?[2,"break"]:[2]}})},Xr=0,On.label=3;case 3:return Xr<Sr.length?[5,fn(Xr)]:[3,6];case 4:if($t=On.sent(),$t==="break")return[3,6];On.label=5;case 5:return++Xr,[3,3];case 6:kr.dispose(),On.label=7;case 7:return[4,Dt.onEpochEnd(Ir,Lr)];case 8:return On.sent(),s.stopTraining_?[2,"break"]:[2]}})},Jt=We,lr.label=2;case 2:return Jt<b?[5,Xt(Jt)]:[3,5];case 3:if(vr=lr.sent(),vr==="break")return[3,5];lr.label=4;case 4:return++Jt,[3,2];case 5:return[4,Dt.onTrainEnd()];case 6:return lr.sent(),[4,s.history.syncData()];case 7:return lr.sent(),[2,s.history]}})})}function gt(s,u,r,o){return o===void 0&&(o={}),xe(this,void 0,void 0,function(){var h,b,T,M,q,Y,le,Ne,We,je,qe,mt,pt,st,dt,Dt,or,Xt,Jt,vr,lr,Ir,Lr;return Q(this,function(kr){switch(kr.label){case 0:if(s.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");s.isTraining=!0,kr.label=1;case 1:return kr.trys.push([1,,7,8]),Ne=o.batchSize==null?32:o.batchSize,Xe(Ne),We=!1,[4,s.standardizeUserData(u,r,o.sampleWeight,o.classWeight,We,Ne)];case 2:if(je=kr.sent(),h=je[0],b=je[1],le=je[2],qe=!1,mt=void 0,!(o.validationData!=null&&o.validationData.length>0))return[3,4];if(qe=!0,o.validationData.length===2)T=o.validationData[0],M=o.validationData[1];else throw o.validationData.length===3?new ge("validationData including sample weights is not supported yet."):new w("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; 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We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+q+" during training")),h.push(Yo(r.loss[q]))}}else if(Array.isArray(r.loss)){if(r.loss.length!==this.outputs.length)throw new w("When passing an Array as loss, it should have one entry per "+("model output. 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Use LayersModel.compile(modelCompileArgs).");for(var T=[],M=0;M<this.feedOutputShapes.length;++M){var q=this.feedOutputShapes[M],Y=this.feedLossFns[M];Y===To?T.push(q.slice(0,q.length-1).concat([1])):T.push(q)}if(r=Ut(r,this.feedInputNames,this.feedInputShapes,!1,"input"),o=Ut(o,this.feedOutputNames,T,!1,"target"),Nt(r,o),Kt(o,this.feedLossFns,this.feedOutputShapes),this.stateful&&b!=null&&b>0&&r[0].shape[0]%b!==0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(b+". Found: "+r[0].shape[0]+" sample(s)."));return[r,o]},u.prototype.standardizeUserData=function(r,o,h,b,T,M){return T===void 0&&(T=!0),xe(this,void 0,void 0,function(){var q,Y,le,Ne,We,je,qe,mt;return Q(this,function(pt){switch(pt.label){case 0:if(q=this.standardizeUserDataXY(r,o,T,M),Y=q[0],le=q[1],h!=null)throw new Error("sample weight is not supported yet.");if(Ne=null,!(b!=null))return[3,4];We=V(b,this.outputNames),Ne=[],je=0,pt.label=1;case 1:return je<We.length?(mt=(qe=Ne).push,[4,oe(le[je],null,We[je])]):[3,4];case 2:mt.apply(qe,[pt.sent()]),pt.label=3;case 3:return++je,[3,1];case 4:return[2,[Y,le,Ne]]}})})},u.prototype.testLoop=function(r,o,h,b,T){var M=this;return b===void 0&&(b=0),i.tidy(function(){var q=M.checkNumSamples(o,h,T,"steps"),Y=[];if(b>0)throw new ge("Verbose mode is not implemented yet.");if(T!=null)throw new ge("steps mode in testLoop() is not implemented yet");for(var le=$(q,h),Ne=i.tensor1d(ln(0,q)),We=0;We<le.length;++We){var je=le[We][0],qe=le[We][1],mt=Zn(Ne,je,qe-je),pt=at(o,mt),st=r(pt);if(We===0)for(var dt=0;dt<st.length;++dt)Y.push(i.scalar(0));for(var dt=0;dt<st.length;++dt){var Dt=st[dt];Y[dt]=i.add(Y[dt],i.mul(qe-je,Dt))}}for(var dt=0;dt<Y.length;++dt)Y[dt]=i.div(Y[dt],q);return Y})},u.prototype.getDedupedMetricsNames=function(){for(var r=this.metricsNames,o=[],h=0;h<r.length;++h){var b=r[h],T=b;if(nr(r,b)>1){var M=nr(r.slice(0,h),b);T+="_"+M}o.push(T)}return o},u.prototype.makeTrainFunction=function(){var r=this;return function(o){var h=[],b=o.slice(0,r.inputs.length),T=o.slice(r.inputs.length,r.inputs.length+r.outputs.length),M=o.slice(r.inputs.length+r.outputs.length,r.inputs.length+r.outputs.length*2),q=[],Y=function(){for(var je=[],qe=0;qe<r.inputs.length;++qe)je.push({key:r.inputs[qe],value:b[qe]});for(var mt=new Si(je),pt=Xi(r.outputs,mt,{training:!0}),st,qe=0;qe<r.lossFunctions.length;++qe){var dt=r.lossFunctions[qe],Dt=dt(T[qe],pt[qe]);M[qe]!=null&&(Dt=ee(Dt,M[qe]));var or=i.mean(Dt);h.push(or),qe===0?st=Dt:st=i.add(st,Dt)}for(var qe=0;qe<r.metricsTensors.length;++qe){var Xt=void 0;if(r.outputs.length>1&&qe<r.outputs.length)Xt=h[qe];else{var Jt=r.metricsTensors[qe][0],vr=r.metricsTensors[qe][1];Xt=i.mean(Jt(T[vr],pt[vr]))}i.keep(Xt),q.push(Xt)}return st=i.mean(st),r.calculateLosses().forEach(function(lr){st=i.add(st,lr)}),st},le=r.collectedTrainableWeights.map(function(je){return je.read()}),Ne=!0,We=r.optimizer_.minimize(Y,Ne,le);return[We].concat(q)}},u.prototype.makeTestFunction=function(){var r=this;this.testFunction=function(o){return i.tidy(function(){for(var h=[],b,T=o.slice(0,r.inputs.length),M=o.slice(r.inputs.length,r.inputs.length+r.outputs.length),q=[],Y=0;Y<r.inputs.length;++Y)q.push({key:r.inputs[Y],value:T[Y]});for(var le=new Si(q),Ne=Xi(r.outputs,le),Y=0;Y<r.lossFunctions.length;++Y){var We=r.lossFunctions[Y],je=i.mean(We(M[Y],Ne[Y]));Y===0?b=je:b=i.add(b,je),h.push(b)}for(var Y=0;Y<r.metricsTensors.length;++Y){var qe=r.metricsTensors[Y][0],mt=r.metricsTensors[Y][1],pt=i.mean(qe(M[mt],Ne[mt]));h.push(pt)}return h})}},u.prototype.fit=function(r,o,h){return h===void 0&&(h={}),xe(this,void 0,void 0,function(){return Q(this,function(b){return[2,gt(this,r,o,h)]})})},u.prototype.fitDataset=function(r,o){return xe(this,void 0,void 0,function(){return Q(this,function(h){return[2,ve(this,r,o)]})})},u.prototype.trainOnBatch=function(r,o){return xe(this,void 0,void 0,function(){var h,b,T,M,q,Y,le,Ne,We,je;return Q(this,function(qe){switch(qe.label){case 0:return[4,this.standardizeUserData(r,o)];case 1:h=qe.sent(),b=h[0],T=h[1],M=this.makeTrainFunction(),q=M(b.concat(T)),Y=[],le=0,Ne=q,qe.label=2;case 2:return le<Ne.length?(We=Ne[le],[4,We.data()]):[3,5];case 3:je=qe.sent(),Y.push(je[0]),qe.label=4;case 4:return le++,[3,2];case 5:return i.dispose(q),[2,Tt(Y)]}})})},u.prototype.getNamedWeights=function(r){for(var o=[],h=r!=null&&r.trainableOnly,b=h?this.trainableWeights:this.weights,T=this.getWeights(h),M=0;M<b.length;++M){if(h&&!b[M].trainable)continue;o.push({name:b[M].originalName,tensor:T[M]})}return o},Object.defineProperty(u.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(r){this.stopTraining_=r},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(r){this.optimizer_!==r&&(this.optimizer_=r,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),u.prototype.dispose=function(){var r=s.prototype.dispose.call(this);if(r.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){var o=i.memory().numTensors;this.optimizer_.dispose(),r.numDisposedVariables+=o-i.memory().numTensors}return r},u.prototype.getLossIdentifiers=function(){var r;if(typeof this.loss=="string")r=it(this.loss);else if(Array.isArray(this.loss)){for(var o=0,h=this.loss;o<h.length;o++){var b=h[o];if(typeof b!="string")throw new Error("Serialization of non-string loss is not supported.")}r=this.loss.map(function(Ne){return it(Ne)})}else{var T=Object.keys(this.loss);r={};for(var M=this.loss,q=0,Y=T;q<Y.length;q++){var le=Y[q];if(typeof M[le]=="string")r[le]=it(M[le]);else throw new Error("Serialization of non-string loss is not supported.")}}return r},u.prototype.getMetricIdentifiers=function(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[it(Fo(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(h){return it(Fo(h))});var r={};for(var o in this.metrics)r[o]=it(Fo(this.metrics[o]));return r},u.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},u.prototype.loadTrainingConfig=function(r){if(r.weighted_metrics!=null)throw new Error("Loading weight_metrics is not 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q=i.fused.conv2d({x:q,filter:u,strides:o,pad:h==="same"?"same":"valid",dilations:T,dataFormat:"NHWC",bias:r,activation:M}),b==="channelsFirst"&&(q=i.transpose(q,[0,3,1,2])),q})}function ws(s,u,r,o,h,b,T){return o===void 0&&(o=[1,1,1]),h===void 0&&(h="valid"),i.tidy(function(){if(b==null&&(b=he()),on(b),s.rank!==4&&s.rank!==5)throw new w("conv3dWithBias expects input to be of rank 4 or 5, but received "+(s.rank+"."));if(u.rank!==4&&u.rank!==5)throw new w("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+(s.rank+"."));var M=so(s,b);if(h==="causal")throw new ge("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return M=i.conv3d(M,u,o,h==="same"?"same":"valid","NDHWC",T),r!=null&&(M=te(M,r)),b==="channelsFirst"&&(M=i.transpose(M,[0,4,1,2,3])),M})}var Cu=function(s){O(u,s);function u(r,o){var h=s.call(this,o)||this;if(h.bias=null,h.DEFAULT_KERNEL_INITIALIZER="glorotNormal",h.DEFAULT_BIAS_INITIALIZER="zeros",u.verifyArgs(o),h.rank=r,tr(h.rank,"rank"),h.rank!==1&&h.rank!==2&&h.rank!==3)throw new ge("Convolution layer for rank other than 1, 2, or 3 ("+h.rank+") is not implemented yet.");if(h.kernelSize=xs(o.kernelSize,r,"kernelSize"),h.strides=xs(o.strides==null?1:o.strides,r,"strides"),h.padding=o.padding==null?"valid":o.padding,_n(h.padding),h.dataFormat=o.dataFormat==null?"channelsLast":o.dataFormat,on(h.dataFormat),h.activation=va(o.activation),h.useBias=o.useBias==null?!0:o.useBias,h.biasInitializer=x(o.biasInitializer||h.DEFAULT_BIAS_INITIALIZER),h.biasConstraint=xn(o.biasConstraint),h.biasRegularizer=Fn(o.biasRegularizer),h.activityRegularizer=Fn(o.activityRegularizer),h.dilationRate=xs(o.dilationRate==null?1:o.dilationRate,r,"dilationRate"),h.rank===1&&Array.isArray(h.dilationRate)&&h.dilationRate.length!==1)throw new w("dilationRate must be a number or an array of a 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Found `None`.");var b=r[h],T=this.kernelSize.concat([this.filters,b]);this.kernel=this.addWeight("kernel",T,"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 An({ndim:4,axes:(o={},o[h]=b,o)})],this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=ur(r);if(b.shape.length!==4)throw new w("Conv2DTranspose.call() expects input tensor to be rank-4, but "+("received a tensor of rank-"+b.shape.length));var T=b.shape,M=T[0],q,Y;h.dataFormat==="channelsFirst"?(q=2,Y=3):(q=1,Y=2);var le=T[q],Ne=T[Y],We=h.kernelSize[0],je=h.kernelSize[1],qe=h.strides[0],mt=h.strides[1],pt=_s(le,qe,We,h.padding),st=_s(Ne,mt,je,h.padding),dt=[M,pt,st,h.filters];h.dataFormat!=="channelsLast"&&(b=i.transpose(b,[0,2,3,1]));var Dt=i.conv2dTranspose(b,h.kernel.read(),dt,h.strides,h.padding);return h.dataFormat!=="channelsLast"&&(Dt=i.transpose(Dt,[0,3,1,2])),h.bias!=null&&(Dt=te(Dt,h.bias.read(),h.dataFormat)),h.activation!=null&&(Dt=h.activation.apply(Dt)),Dt})},u.prototype.computeOutputShape=function(r){r=$r(r);var o=r.slice(),h,b,T;this.dataFormat==="channelsFirst"?(h=1,b=2,T=3):(h=3,b=1,T=2);var M=this.kernelSize[0],q=this.kernelSize[1],Y=this.strides[0],le=this.strides[1];return o[h]=this.filters,o[b]=_s(o[b],Y,M,this.padding),o[T]=_s(o[T],le,q,this.padding),o},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this);return delete r.dilationRate,r},u.className="Conv2DTranspose",u}(Tu);i.serialization.registerClass(uo);var bs=function(s){O(u,s);function u(r,o){var h=s.call(this,r,o)||this;if(h.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",h.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",h.depthwiseKernel=null,h.pointwiseKernel=null,o.filters==null)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(o.kernelInitializer!=null||o.kernelRegularizer!=null||o.kernelConstraint!=null)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(o.padding!=null&&o.padding!=="same"&&o.padding!=="valid")throw new w("SeparableConv"+h.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(o.padding)));return h.depthMultiplier=o.depthMultiplier==null?1:o.depthMultiplier,h.depthwiseInitializer=x(o.depthwiseInitializer||h.DEFAULT_DEPTHWISE_INITIALIZER),h.depthwiseRegularizer=Fn(o.depthwiseRegularizer),h.depthwiseConstraint=xn(o.depthwiseConstraint),h.pointwiseInitializer=x(o.depthwiseInitializer||h.DEFAULT_POINTWISE_INITIALIZER),h.pointwiseRegularizer=Fn(o.pointwiseRegularizer),h.pointwiseConstraint=xn(o.pointwiseConstraint),h}return u.prototype.build=function(r){var o;if(r=$r(r),r.length<this.rank+2)throw new w("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2+", but received input shape: ")+(""+JSON.stringify(r)));var h=this.dataFormat==="channelsFirst"?1:r.length-1;if(r[h]==null||r[h]<0)throw new w("The channel dimension of the inputs should be defined, "+("but found "+JSON.stringify(r[h])));for(var b=r[h],T=this.kernelSize.concat([b,this.depthMultiplier]),M=[],q=0;q<this.rank;++q)M.push(1);M.push(b*this.depthMultiplier,this.filters);var Y=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",T,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,Y,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",M,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,Y,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,Y,this.biasConstraint):this.bias=null,this.inputSpec=[new An({ndim:this.rank+2,axes:(o={},o[h]=b,o)})],this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=ur(r);var b;if(h.rank===1)throw new ge("1D separable convolution is not implemented yet.");return h.rank===2&&(h.dataFormat==="channelsFirst"&&(r=i.transpose(r,[0,2,3,1])),b=i.separableConv2d(r,h.depthwiseKernel.read(),h.pointwiseKernel.read(),h.strides,h.padding,h.dilationRate,"NHWC")),h.useBias&&(b=te(b,h.bias.read(),h.dataFormat)),h.activation!=null&&(b=h.activation.apply(b)),h.dataFormat==="channelsFirst"&&(b=i.transpose(b,[0,3,1,2])),b})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this);return delete r.rank,delete r.kernelInitializer,delete r.kernelRegularizer,delete r.kernelConstraint,r.depthwiseInitializer=S(this.depthwiseInitializer),r.pointwiseInitializer=S(this.pointwiseInitializer),r.depthwiseRegularizer=dn(this.depthwiseRegularizer),r.pointwiseRegularizer=dn(this.pointwiseRegularizer),r.depthwiseConstraint=rn(this.depthwiseConstraint),r.pointwiseConstraint=rn(this.pointwiseConstraint),r},u.className="SeparableConv",u}(cu),Eu=function(s){O(u,s);function u(r){return s.call(this,2,r)||this}return u.className="SeparableConv2D",u}(bs);i.serialization.registerClass(Eu);var pc=function(s){O(u,s);function u(r){var o=s.call(this,1,r)||this;return u.verifyArgs(r),o.inputSpec=[{ndim:3}],o}return u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this);return delete r.rank,delete r.dataFormat,r},u.verifyArgs=function(r){if(typeof r.kernelSize!="number"&&!_r(r.kernelSize,"number",1,1))throw new w("Conv1D expects config.kernelSize to be number or number[] with "+("length 1, but received "+JSON.stringify(r.kernelSize)+"."))},u.className="Conv1D",u}(cu);i.serialization.registerClass(pc);var dc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return typeof r.cropping=="number"?o.cropping=[[r.cropping,r.cropping],[r.cropping,r.cropping]]:typeof r.cropping[0]=="number"?o.cropping=[[r.cropping[0],r.cropping[0]],[r.cropping[1],r.cropping[1]]]:o.cropping=r.cropping,o.dataFormat=r.dataFormat===void 0?"channelsLast":r.dataFormat,o.inputSpec=[{ndim:4}],o}return u.prototype.computeOutputShape=function(r){return this.dataFormat==="channelsFirst"?[r[0],r[1],r[2]-this.cropping[0][0]-this.cropping[0][1],r[3]-this.cropping[1][0]-this.cropping[1][1]]:[r[0],r[1]-this.cropping[0][0]-this.cropping[0][1],r[2]-this.cropping[1][0]-this.cropping[1][1],r[3]]},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r=ur(r),h.dataFormat==="channelsLast"){var b=Fi(r,h.cropping[0][0],r.shape[1]-h.cropping[0][0]-h.cropping[0][1],2);return Fi(b,h.cropping[1][0],r.shape[2]-h.cropping[1][1]-h.cropping[1][0],3)}else{var b=Fi(r,h.cropping[0][0],r.shape[2]-h.cropping[0][0]-h.cropping[0][1],3);return Fi(b,h.cropping[1][0],r.shape[3]-h.cropping[1][1]-h.cropping[1][0],4)}})},u.prototype.getConfig=function(){var r={cropping:this.cropping,dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Cropping2D",u}(qr);i.serialization.registerClass(dc);var fc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.DEFAULT_SIZE=[2,2],o.inputSpec=[{ndim:4}],o.size=r.size==null?o.DEFAULT_SIZE:r.size,o.dataFormat=r.dataFormat==null?"channelsLast":r.dataFormat,o}return u.prototype.computeOutputShape=function(r){if(this.dataFormat==="channelsFirst"){var o=r[2]==null?null:this.size[0]*r[2],h=r[3]==null?null:this.size[1]*r[3];return[r[0],r[1],o,h]}else{var o=r[1]==null?null:this.size[0]*r[1],h=r[2]==null?null:this.size[1]*r[2];return[r[0],o,h,r[3]]}},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=ur(r),T=b.shape;if(h.dataFormat==="channelsFirst"){b=i.transpose(b,[0,2,3,1]);var M=h.size[0]*T[2],q=h.size[1]*T[3],Y=b.resizeNearestNeighbor([M,q]);return i.transpose(Y,[0,3,1,2])}else{var M=h.size[0]*T[1],q=h.size[1]*T[2];return b.resizeNearestNeighbor([M,q])}})},u.prototype.getConfig=function(){var r={size:this.size,dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="UpSampling2D",u}(qr);i.serialization.registerClass(fc);function vl(s,u,r,o,h,b){return r===void 0&&(r=[1,1]),o===void 0&&(o="valid"),i.tidy(function(){h==null&&(h=he()),on(h);var T=bo(s,h);if(s.rank!==4)throw new w("Input for depthwiseConv2d is required to be 4-D, but is instead "+(s.rank+"-D"));if(u.rank!==4)throw new w("depthwiseKernel is required to be 4-D, but is instead "+(u.rank+"-D"));return T=i.depthwiseConv2d(T,u,r,o==="same"?"same":"valid","NHWC",b),h==="channelsFirst"&&(T=i.transpose(T,[0,3,1,2])),T})}var Ru=function(s){O(u,s);function u(r){var o=s.call(this,2,r)||this;return o.depthwiseKernel=null,o.depthMultiplier=r.depthMultiplier==null?1:r.depthMultiplier,o.depthwiseInitializer=x(r.depthwiseInitializer||o.DEFAULT_KERNEL_INITIALIZER),o.depthwiseConstraint=xn(r.depthwiseConstraint),o.depthwiseRegularizer=Fn(r.depthwiseRegularizer),o}return u.prototype.build=function(r){if(r=$r(r),r.length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(r)+"."));var o=this.dataFormat==="channelsFirst"?1:3;if(r[o]==null||r[o]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+r[o]+")."));var h=r[o],b=[this.kernelSize[0],this.kernelSize[1],h,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",b,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[h*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=ur(r);var b=vl(r,h.depthwiseKernel.read(),h.strides,h.padding,h.dataFormat,null);return h.useBias&&(b=te(b,h.bias.read(),h.dataFormat)),h.activation!=null&&(b=h.activation.apply(b)),b})},u.prototype.computeOutputShape=function(r){r=$r(r);var o=this.dataFormat==="channelsFirst"?r[2]:r[1],h=this.dataFormat==="channelsFirst"?r[3]:r[2],b=this.dataFormat==="channelsFirst"?r[1]*this.depthMultiplier:r[3]*this.depthMultiplier,T=Ii(o,this.kernelSize[0],this.padding,this.strides[0]),M=Ii(h,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[r[0],b,T,M]:[r[0],T,M,b]},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this);return r.depthMultiplier=this.depthMultiplier,r.depthwiseInitializer=S(this.depthwiseInitializer),r.depthwiseRegularizer=dn(this.depthwiseRegularizer),r.depthwiseConstraint=rn(this.depthwiseRegularizer),r},u.className="DepthwiseConv2D",u}(Cu);i.serialization.registerClass(Ru);function mc(s,u,r,o){if(Array.isArray(s)){if(u!=null||r!=null)throw new w("When inputs is an array, neither initialState or constants should be provided");o!=null&&(r=s.slice(s.length-o,s.length),s=s.slice(0,s.length-o)),s.length>1&&(u=s.slice(1,s.length)),s=s[0]}function h(b){return b==null||Array.isArray(b)?b:[b]}return u=h(u),r=h(r),{inputs:s,initialState:u,constants:r}}function yc(s,u,r,o,h,b,T,M){return o===void 0&&(o=!1),T===void 0&&(T=!1),M===void 0&&(M=!1),i.tidy(function(){var q=u.shape.length;if(q<3)throw new w("Input should be at least 3D, but is "+q+"D.");var Y=[1,0].concat(ln(2,q));if(u=i.transpose(u,Y),b!=null)throw new ge("The rnn() functoin of the deeplearn.js backend does not support constants yet.");T&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),h!=null&&(h=h.asType("bool").asType("float32"),h.rank===q-1&&(h=i.expandDims(h,-1)),h=i.transpose(h,Y)),o&&(u=i.reverse(u,0),h!=null&&(h=i.reverse(h,0)));var le=[],Ne,We=r,je=u.shape[0],qe=i.unstack(u),mt;h!=null&&(mt=i.unstack(h));for(var pt=function(or){var Xt=qe[or],Jt=i.tidy(function(){return s(Xt,We)});if(h==null)Ne=Jt[0],We=Jt[1];else{var vr=i.tidy(function(){var lr=mt[or],Ir=i.onesLike(lr).sub(lr),Lr=Jt[0].mul(lr).add(We[0].mul(Ir)),kr=We.map(function(Sr,fn){return Jt[1][fn].mul(lr).add(Sr.mul(Ir))});return{output:Lr,newStates:kr}});Ne=vr.output,We=vr.newStates}M&&le.push(Ne)},st=0;st<je;++st)pt(st);var dt;if(M){var Dt=1;dt=i.stack(le,Dt)}return[Ne,dt,We]})}var Ni=function(s){O(u,s);function u(r){var o=s.call(this,r)||this,h;if(r.cell==null)throw new w("cell property is missing for the constructor of RNN.");if(Array.isArray(r.cell)?h=new as({cells:r.cell}):h=r.cell,h.stateSize==null)throw new w("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return o.cell=h,o.returnSequences=r.returnSequences==null?!1:r.returnSequences,o.returnState=r.returnState==null?!1:r.returnState,o.goBackwards=r.goBackwards==null?!1:r.goBackwards,o._stateful=r.stateful==null?!1:r.stateful,o.unroll=r.unroll==null?!1:r.unroll,o.supportsMasking=!0,o.inputSpec=[new An({ndim:3})],o.stateSpec=null,o.states_=null,o.numConstants=null,o.keptStates=[],o}return u.prototype.getStates=function(){if(this.states_==null){var r=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return ln(0,r).map(function(o){return null})}else return this.states_},u.prototype.setStates=function(r){this.states_=r},u.prototype.computeOutputShape=function(r){wa(r)&&(r=r[0]),r=r;var o=this.cell.stateSize;Array.isArray(o)||(o=[o]);var h=o[0],b;if(this.returnSequences?b=[r[0],r[1],h]:b=[r[0],h],this.returnState){for(var T=[],M=0,q=o;M<q.length;M++){var Y=q[M];T.push([r[0],Y])}return[b].concat(T)}else return b},u.prototype.computeMask=function(r,o){var h=this;return i.tidy(function(){Array.isArray(o)&&(o=o[0]);var b=h.returnSequences?o:null;if(h.returnState){var T=h.states.map(function(M){return null});return[b].concat(T)}else return b})},Object.defineProperty(u.prototype,"states",{get:function(){if(this.states_==null){for(var r=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,o=[],h=0;h<r;++h)o.push(null);return o}else return this.states_},set:function(r){this.states_=r},enumerable:!0,configurable:!0}),u.prototype.build=function(r){if(this.numConstants!=null)throw new ge("Constants support is not implemented in RNN yet.");wa(r)&&(r=r[0]),r=r;var o=this.stateful?r[0]:null,h=r.slice(2);this.inputSpec[0]=new An({shape:[o,null].concat(h)});var b=[r[0]].concat(r.slice(2));this.cell.build(b);var T;if(Array.isArray(this.cell.stateSize)?T=this.cell.stateSize:T=[this.cell.stateSize],this.stateSpec!=null){if(!i.util.arraysEqual(this.stateSpec.map(function(M){return M.shape[M.shape.length-1]}),T))throw new w("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=T.map(function(M){return new An({shape:[null,M]})});this.stateful&&this.resetStates()},u.prototype.resetStates=function(r,o){var h=this;o===void 0&&(o=!1),i.tidy(function(){if(!h.stateful)throw new me("Cannot call resetStates() on an RNN Layer that is not stateful.");var b=h.inputSpec[0].shape[0];if(b==null)throw new w("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(h.states_==null)Array.isArray(h.cell.stateSize)?h.states_=h.cell.stateSize.map(function(le){return i.zeros([b,le])}):h.states_=[i.zeros([b,h.cell.stateSize])];else if(r==null)i.dispose(h.states_),h.keptStates!=null&&(i.dispose(h.keptStates),h.keptStates=[]),Array.isArray(h.cell.stateSize)?h.states_=h.cell.stateSize.map(function(le){return i.zeros([b,le])}):h.states_[0]=i.zeros([b,h.cell.stateSize]);else{if(Array.isArray(r)||(r=[r]),r.length!==h.states_.length)throw new w("Layer "+h.name+" expects "+h.states_.length+" state(s), "+("but it received "+r.length+" state value(s). Input ")+("received: "+r));o===!0?h.keptStates.push(h.states_.slice()):i.dispose(h.states_);for(var T=0;T<h.states_.length;++T){var M=r[T],q=Array.isArray(h.cell.stateSize)?h.cell.stateSize[T]:h.cell.stateSize,Y=[b,q];if(!i.util.arraysEqual(M.shape,Y))throw new w("State "+T+" is incompatible with layer "+h.name+": "+("expected shape="+Y+", received shape="+M.shape));h.states_[T]=M}}h.states_=h.states_.map(function(le){return i.keep(le.clone())})})},u.prototype.apply=function(r,o){var h=o==null?null:o.initialState,b=o==null?null:o.constants;o==null&&(o={});var T=mc(r,h,b,this.numConstants);r=T.inputs,h=T.initialState,b=T.constants;var M=[],q=[];if(h!=null){o.initialState=h,M=M.concat(h),this.stateSpec=[];for(var Y=0,le=h;Y<le.length;Y++){var Ne=le[Y];this.stateSpec.push(new An({shape:Ne.shape}))}q=q.concat(this.stateSpec)}b!=null&&(o.constants=b,M=M.concat(b),this.numConstants=b.length);var We=M[0]instanceof ba;if(We){var je=[r].concat(M),qe=this.inputSpec.concat(q),mt=this.inputSpec;this.inputSpec=qe;var pt=s.prototype.apply.call(this,je,o);return this.inputSpec=mt,pt}else return s.prototype.apply.call(this,r,o)},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=o==null?null:o.mask,T=o==null?null:o.training,M=o==null?null:o.initialState;r=ur(r),M==null&&(h.stateful?M=h.states_:M=h.getInitialState(r));var q=Array.isArray(h.cell.stateSize)?h.cell.stateSize.length:1;if(M.length!==q)throw new w("RNN Layer has "+q+" state(s) but was passed "+(M.length+" initial state(s)."));h.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var Y={training:T},le=function(pt,st){var dt=h.cell.call([pt].concat(st),Y);return[dt[0],dt.slice(1)]},Ne=yc(le,r,M,h.goBackwards,b,null,h.unroll,h.returnSequences),We=Ne[0],je=Ne[1],qe=Ne[2];h.stateful&&h.resetStates(qe,T);var mt=h.returnSequences?je:We;return h.returnState?[mt].concat(qe):mt})},u.prototype.getInitialState=function(r){var o=this;return i.tidy(function(){var h=i.zeros(r.shape);return h=i.sum(h,[1,2]),h=gr(h),Array.isArray(o.cell.stateSize)?o.cell.stateSize.map(function(b){return b>1?da(h,[1,b]):h}):o.cell.stateSize>1?[da(h,[1,o.cell.stateSize])]:[h]})},Object.defineProperty(u.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),u.prototype.setFastWeightInitDuringBuild=function(r){s.prototype.setFastWeightInitDuringBuild.call(this,r),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(r)},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(o.numConstants=this.numConstants);var h=this.cell.getConfig();return this.getClassName()===u.className&&(o.cell={className:this.cell.getClassName(),config:h}),H({},h,r,o)},u.fromConfig=function(r,o,h){h===void 0&&(h={});var b=o.cell,T=oa(b,h);return new r(Object.assign(o,{cell:T}))},u.className="RNN",u}(qr);i.serialization.registerClass(Ni);var ns=function(s){O(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u}(qr),ks=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.DEFAULT_ACTIVATION="tanh",o.DEFAULT_KERNEL_INITIALIZER="glorotNormal",o.DEFAULT_RECURRENT_INITIALIZER="orthogonal",o.DEFAULT_BIAS_INITIALIZER="zeros",o.units=r.units,tr(o.units,"units"),o.activation=va(r.activation==null?o.DEFAULT_ACTIVATION:r.activation),o.useBias=r.useBias==null?!0:r.useBias,o.kernelInitializer=x(r.kernelInitializer||o.DEFAULT_KERNEL_INITIALIZER),o.recurrentInitializer=x(r.recurrentInitializer||o.DEFAULT_RECURRENT_INITIALIZER),o.biasInitializer=x(r.biasInitializer||o.DEFAULT_BIAS_INITIALIZER),o.kernelRegularizer=Fn(r.kernelRegularizer),o.recurrentRegularizer=Fn(r.recurrentRegularizer),o.biasRegularizer=Fn(r.biasRegularizer),o.kernelConstraint=xn(r.kernelConstraint),o.recurrentConstraint=xn(r.recurrentConstraint),o.biasConstraint=xn(r.biasConstraint),o.dropout=fi([1,Va([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,Va([0,r.recurrentDropout==null?0:r.recurrentDropout])]),o.stateSize=o.units,o.dropoutMask=null,o.recurrentDropoutMask=null,o}return u.prototype.build=function(r){r=$r(r),this.kernel=this.addWeight("kernel",[r[r.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},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r=r,r.length!==2)throw new w("SimpleRNNCell expects 2 input Tensors, got "+r.length+".");var b=r[1];r=r[0];var T=o.training==null?!1:o.training;0<h.dropout&&h.dropout<1&&h.dropoutMask==null&&(h.dropoutMask=Vo({ones:function(){return i.onesLike(r)},rate:h.dropout,training:T})),0<h.recurrentDropout&&h.recurrentDropout<1&&h.recurrentDropoutMask==null&&(h.recurrentDropoutMask=Vo({ones:function(){return i.onesLike(b)},rate:h.recurrentDropout,training:T}));var M,q=h.dropoutMask,Y=h.recurrentDropoutMask;q!=null?M=pe(i.mul(r,q),h.kernel.read()):M=pe(r,h.kernel.read()),h.bias!=null&&(M=te(M,h.bias.read())),Y!=null&&(b=i.mul(b,Y));var le=i.add(M,pe(b,h.recurrentKernel.read()));return h.activation!=null&&(le=h.activation.apply(le)),[le,le]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={units:this.units,activation:Qa(this.activation),useBias:this.useBias,kernelInitializer:S(this.kernelInitializer),recurrentInitializer:S(this.recurrentInitializer),biasInitializer:S(this.biasInitializer),kernelRegularizer:dn(this.kernelRegularizer),recurrentRegularizer:dn(this.recurrentRegularizer),biasRegularizer:dn(this.biasRegularizer),activityRegularizer:dn(this.activityRegularizer),kernelConstraint:rn(this.kernelConstraint),recurrentConstraint:rn(this.recurrentConstraint),biasConstraint:rn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return H({},r,o)},u.className="SimpleRNNCell",u}(ns);i.serialization.registerClass(ks);var vc=function(s){O(u,s);function u(r){var o=this;return r.cell=new ks(r),o=s.call(this,r)||this,o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.cell.dropoutMask!=null&&(i.dispose(h.cell.dropoutMask),h.cell.dropoutMask=null),h.cell.recurrentDropoutMask!=null&&(i.dispose(h.cell.recurrentDropoutMask),h.cell.recurrentDropoutMask=null);var b=o==null?null:o.mask,T=o==null?null:o.training,M=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:M})})},u.fromConfig=function(r,o){return new r(o)},u.className="SimpleRNN",u}(Ni);i.serialization.registerClass(vc);var Wo=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;if(o.DEFAULT_ACTIVATION="tanh",o.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",o.DEFAULT_KERNEL_INITIALIZER="glorotNormal",o.DEFAULT_RECURRENT_INITIALIZER="orthogonal",o.DEFAULT_BIAS_INITIALIZER="zeros",r.resetAfter)throw new w("GRUCell does not support reset_after parameter set to true.");return o.units=r.units,tr(o.units,"units"),o.activation=va(r.activation===void 0?o.DEFAULT_ACTIVATION:r.activation),o.recurrentActivation=va(r.recurrentActivation===void 0?o.DEFAULT_RECURRENT_ACTIVATION:r.recurrentActivation),o.useBias=r.useBias==null?!0:r.useBias,o.kernelInitializer=x(r.kernelInitializer||o.DEFAULT_KERNEL_INITIALIZER),o.recurrentInitializer=x(r.recurrentInitializer||o.DEFAULT_RECURRENT_INITIALIZER),o.biasInitializer=x(r.biasInitializer||o.DEFAULT_BIAS_INITIALIZER),o.kernelRegularizer=Fn(r.kernelRegularizer),o.recurrentRegularizer=Fn(r.recurrentRegularizer),o.biasRegularizer=Fn(r.biasRegularizer),o.kernelConstraint=xn(r.kernelConstraint),o.recurrentConstraint=xn(r.recurrentConstraint),o.biasConstraint=xn(r.biasConstraint),o.dropout=fi([1,Va([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,Va([0,r.recurrentDropout==null?0:r.recurrentDropout])]),o.implementation=r.implementation,o.stateSize=o.units,o.dropoutMask=null,o.recurrentDropoutMask=null,o}return u.prototype.build=function(r){r=$r(r);var o=r[r.length-1];this.kernel=this.addWeight("kernel",[o,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r=r,r.length!==2)throw new w("GRUCell expects 2 input Tensors (inputs, h, c), got "+(r.length+"."));var b=o.training==null?!1:o.training,T=r[1];r=r[0],0<h.dropout&&h.dropout<1&&h.dropoutMask==null&&(h.dropoutMask=Vo({ones:function(){return i.onesLike(r)},rate:h.dropout,training:b,count:3})),0<h.recurrentDropout&&h.recurrentDropout<1&&h.recurrentDropoutMask==null&&(h.recurrentDropoutMask=Vo({ones:function(){return i.onesLike(T)},rate:h.recurrentDropout,training:b,count:3}));var M=h.dropoutMask,q=h.recurrentDropoutMask,Y,le,Ne;0<h.dropout&&h.dropout<1&&(r=i.mul(r,M[0]));var We=pe(r,h.kernel.read());h.useBias&&(We=te(We,h.bias.read())),0<h.recurrentDropout&&h.recurrentDropout<1&&(T=i.mul(T,q[0]));var je=h.recurrentKernel.read(),qe=i.split(je,[2*h.units,h.units],je.rank-1),mt=qe[0],pt=qe[1],st=pe(T,mt),dt=i.split(We,3,We.rank-1),Dt=dt[0],or=dt[1],Xt=dt[2],Jt=i.split(st,2,st.rank-1),vr=Jt[0],lr=Jt[1];Y=h.recurrentActivation.apply(i.add(Dt,vr)),le=h.recurrentActivation.apply(i.add(or,lr));var Ir=pe(i.mul(le,T),pt);Ne=h.activation.apply(i.add(Xt,Ir));var Lr=i.add(i.mul(Y,T),i.mul(i.add(1,i.neg(Y)),Ne));return[Lr,Lr]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={units:this.units,activation:Qa(this.activation),recurrentActivation:Qa(this.recurrentActivation),useBias:this.useBias,kernelInitializer:S(this.kernelInitializer),recurrentInitializer:S(this.recurrentInitializer),biasInitializer:S(this.biasInitializer),kernelRegularizer:dn(this.kernelRegularizer),recurrentRegularizer:dn(this.recurrentRegularizer),biasRegularizer:dn(this.biasRegularizer),activityRegularizer:dn(this.activityRegularizer),kernelConstraint:rn(this.kernelConstraint),recurrentConstraint:rn(this.recurrentConstraint),biasConstraint:rn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return H({},r,o)},u.className="GRUCell",u}(ns);i.serialization.registerClass(Wo);var co=function(s){O(u,s);function u(r){var o=this;return r.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),r.cell=new Wo(r),o=s.call(this,r)||this,o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.cell.dropoutMask!=null&&(i.dispose(h.cell.dropoutMask),h.cell.dropoutMask=null),h.cell.recurrentDropoutMask!=null&&(i.dispose(h.cell.recurrentDropoutMask),h.cell.recurrentDropoutMask=null);var b=o==null?null:o.mask,T=o==null?null:o.training,M=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:M})})},u.fromConfig=function(r,o){return o.implmentation===0&&(o.implementation=1),new r(o)},u.className="GRU",u}(Ni);i.serialization.registerClass(co);var Uo=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.DEFAULT_ACTIVATION="tanh",o.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",o.DEFAULT_KERNEL_INITIALIZER="glorotNormal",o.DEFAULT_RECURRENT_INITIALIZER="orthogonal",o.DEFAULT_BIAS_INITIALIZER="zeros",o.units=r.units,tr(o.units,"units"),o.activation=va(r.activation===void 0?o.DEFAULT_ACTIVATION:r.activation),o.recurrentActivation=va(r.recurrentActivation===void 0?o.DEFAULT_RECURRENT_ACTIVATION:r.recurrentActivation),o.useBias=r.useBias==null?!0:r.useBias,o.kernelInitializer=x(r.kernelInitializer||o.DEFAULT_KERNEL_INITIALIZER),o.recurrentInitializer=x(r.recurrentInitializer||o.DEFAULT_RECURRENT_INITIALIZER),o.biasInitializer=x(r.biasInitializer||o.DEFAULT_BIAS_INITIALIZER),o.unitForgetBias=r.unitForgetBias,o.kernelRegularizer=Fn(r.kernelRegularizer),o.recurrentRegularizer=Fn(r.recurrentRegularizer),o.biasRegularizer=Fn(r.biasRegularizer),o.kernelConstraint=xn(r.kernelConstraint),o.recurrentConstraint=xn(r.recurrentConstraint),o.biasConstraint=xn(r.biasConstraint),o.dropout=fi([1,Va([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,Va([0,r.recurrentDropout==null?0:r.recurrentDropout])]),o.implementation=r.implementation,o.stateSize=[o.units,o.units],o.dropoutMask=null,o.recurrentDropoutMask=null,o}return u.prototype.build=function(r){var o;r=$r(r);var h=r[r.length-1];this.kernel=this.addWeight("kernel",[h,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);var b;if(this.useBias){if(this.unitForgetBias){var T=this.biasInitializer,M=this.units;b=new(o=function(q){O(Y,q);function Y(){return q!==null&&q.apply(this,arguments)||this}return Y.prototype.apply=function(le,Ne){var We=T.apply([M]),je=new fa().apply([M]),qe=T.apply([M*2]);return Oi(Oi(We,je),qe)},Y}(ir),o.className="CustomInit",o)}else b=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,b,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=o.training==null?!1:o.training;if(r=r,r.length!==3)throw new w("LSTMCell expects 3 input Tensors (inputs, h, c), got "+(r.length+"."));var T=r[1],M=r[2];r=r[0],0<h.dropout&&h.dropout<1&&h.dropoutMask==null&&(h.dropoutMask=Vo({ones:function(){return i.onesLike(r)},rate:h.dropout,training:b,count:4})),0<h.recurrentDropout&&h.recurrentDropout<1&&h.recurrentDropoutMask==null&&(h.recurrentDropoutMask=Vo({ones:function(){return i.onesLike(T)},rate:h.recurrentDropout,training:b,count:4}));var q=h.dropoutMask,Y=h.recurrentDropoutMask,le,Ne,We,je;0<h.dropout&&h.dropout<1&&(r=i.mul(r,q[0]));var qe=pe(r,h.kernel.read());0<h.recurrentDropout&&h.recurrentDropout<1&&(T=i.mul(T,Y[0])),qe=i.add(qe,pe(T,h.recurrentKernel.read())),h.useBias&&(qe=te(qe,h.bias.read()));var mt=i.split(qe,4,qe.rank-1),pt=mt[0],st=mt[1],dt=mt[2],Dt=mt[3];le=h.recurrentActivation.apply(pt),Ne=h.recurrentActivation.apply(st),We=i.add(i.mul(Ne,M),i.mul(le,h.activation.apply(dt))),je=h.recurrentActivation.apply(Dt);var or=i.mul(je,h.activation.apply(We));return[or,or,We]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={units:this.units,activation:Qa(this.activation),recurrentActivation:Qa(this.recurrentActivation),useBias:this.useBias,kernelInitializer:S(this.kernelInitializer),recurrentInitializer:S(this.recurrentInitializer),biasInitializer:S(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:dn(this.kernelRegularizer),recurrentRegularizer:dn(this.recurrentRegularizer),biasRegularizer:dn(this.biasRegularizer),activityRegularizer:dn(this.activityRegularizer),kernelConstraint:rn(this.kernelConstraint),recurrentConstraint:rn(this.recurrentConstraint),biasConstraint:rn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return H({},r,o)},u.className="LSTMCell",u}(ns);i.serialization.registerClass(Uo);var lu=function(s){O(u,s);function u(r){var o=this;return r.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),r.cell=new Uo(r),o=s.call(this,r)||this,o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.cell.dropoutMask!=null&&(i.dispose(h.cell.dropoutMask),h.cell.dropoutMask=null),h.cell.recurrentDropoutMask!=null&&(i.dispose(h.cell.recurrentDropoutMask),h.cell.recurrentDropoutMask=null);var b=o==null?null:o.mask,T=o==null?null:o.training,M=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:M})})},u.fromConfig=function(r,o){return o.implmentation===0&&(o.implementation=1),new r(o)},u.className="LSTM",u}(Ni);i.serialization.registerClass(lu);var as=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.cells=r.cells,o}return Object.defineProperty(u.prototype,"stateSize",{get:function(){for(var r=[],o=0,h=this.cells.slice().reverse();o<h.length;o++){var b=h[o];Array.isArray(b.stateSize)?r.push.apply(r,b.stateSize):r.push(b.stateSize)}return r},enumerable:!0,configurable:!0}),u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=r;for(var b=r.slice(1),T=[],M=0,q=h.cells.slice().reverse();M<q.length;M++){var Y=q[M];Array.isArray(Y.stateSize)?T.push(b.splice(0,Y.stateSize.length)):T.push(b.splice(0,1))}T.reverse();for(var le=[],Ne,We=0;We<h.cells.length;++We){var Y=h.cells[We];b=T[We],We===0?Ne=[r[0]].concat(b):Ne=[Ne[0]].concat(b),Ne=Y.call(Ne,o),le.push(Ne.slice(1))}b=[];for(var je=0,qe=le.slice().reverse();je<qe.length;je++){var mt=qe[je];b.push.apply(b,mt)}return[Ne[0]].concat(b)})},u.prototype.build=function(r){wa(r)&&(r=r[0]),r=r;var o;this.cells.forEach(function(h,b){_a("RNNCell_"+b,function(){h.build(r),Array.isArray(h.stateSize)?o=h.stateSize[0]:o=h.stateSize,r=[r[0],o]})}),this.built=!0},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o=function(T){return{className:T.getClassName(),config:T.getConfig()}},h=this.cells.map(o),b={cells:h};return H({},r,b)},u.fromConfig=function(r,o,h){h===void 0&&(h={});for(var b=[],T=0,M=o.cells;T<M.length;T++){var q=M[T];b.push(oa(q,h))}return new r({cells:b})},Object.defineProperty(u.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var r=[],o=0,h=this.cells;o<h.length;o++){var b=h[o];r.push.apply(r,b.trainableWeights)}return r},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"nonTrainableWeights",{get:function(){for(var r=[],o=0,h=this.cells;o<h.length;o++){var b=h[o];r.push.apply(r,b.nonTrainableWeights)}if(!this.trainable){for(var T=[],M=0,q=this.cells;M<q.length;M++){var b=q[M];T.push.apply(T,b.trainableWeights)}return T.concat(r)}return r},enumerable:!0,configurable:!0}),u.prototype.getWeights=function(){for(var r=[],o=0,h=this.cells;o<h.length;o++){var b=h[o];r.push.apply(r,b.weights)}return ai(r)},u.prototype.setWeights=function(r){for(var o=[],h=0,b=this.cells;h<b.length;h++)for(var T=b[h],M=T.weights.length,q=r.splice(M),Y=0;Y<T.weights.length;++Y)o.push([T.weights[Y],q[Y]]);zi(o)},u.className="StackedRNNCells",u}(ns);i.serialization.registerClass(as);function Vo(s){var u=s.ones,r=s.rate,o=s.training,h=o===void 0?!1:o,b=s.count,T=b===void 0?1:b,M=function(){return $e(u(),r)},q=function(){return Ye(M,u,h)};if(!T||T<=1)return i.keep(q().clone());var Y=Array(T).fill(void 0).map(q);return Y.map(function(le){return i.keep(le.clone())})}var gl=function(s){O(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u}(ns),xl=function(s){O(u,s);function u(r){var o=this;if(r.unroll)throw new ge("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(r.cell))throw new ge("It is not possible at the moment to stack convolutional cells.");return o=s.call(this,r)||this,o.inputSpec=[new An({ndim:5})],o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(h.cell.dropoutMask!=null&&(i.dispose(h.cell.dropoutMask),h.cell.dropoutMask=null),h.cell.recurrentDropoutMask!=null&&(i.dispose(h.cell.recurrentDropoutMask),h.cell.recurrentDropoutMask=null),o&&o.constants)throw new w("ConvRNN2D cell does not support constants");var b=o==null?null:o.mask,T=o==null?null:o.training,M=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:M})})},u.prototype.computeOutputShape=function(r){var o=this.computeSingleOutputShape(r);return this.returnSequences||(o=[o[0]].concat(o.slice(2))),this.returnState&&(o=[o].concat(Array(2).fill([r[0]].concat(o.slice(-3))))),o},u.prototype.getInitialState=function(r){var o=this;return i.tidy(function(){var h=o.cell.stateSize,b=r.shape,T=o.computeSingleOutputShape(b),M=[T[0]].concat(T.slice(2)),q=i.zeros(M);return Array.isArray(h)?Array(h.length).fill(q):[q]})},u.prototype.resetStates=function(r,o){var h=this;o===void 0&&(o=!1),i.tidy(function(){if(!h.stateful)throw new me("Cannot call resetStates() on an RNN Layer that is not stateful.");var b=h.inputSpec[0].shape,T=h.computeSingleOutputShape(b),M=[T[0]].concat(T.slice(2)),q=b[0];if(q==null)throw new w("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(h.getStates()==null)Array.isArray(h.cell.stateSize)?h.states_=h.cell.stateSize.map(function(){return i.zeros(M)}):h.states_=[i.zeros(M)];else if(r==null)i.dispose(h.states_),h.keptStates!=null&&(i.dispose(h.keptStates),h.keptStates=[]),Array.isArray(h.cell.stateSize)?h.states_=h.cell.stateSize.map(function(){return i.zeros(M)}):h.states_[0]=i.zeros(M);else{if(Array.isArray(r)||(r=[r]),r.length!==h.states_.length)throw new w("Layer "+h.name+" expects "+h.states_.length+" state(s), "+("but it received "+r.length+" state value(s). Input ")+("received: "+r));o?h.keptStates.push(h.states_.slice()):i.dispose(h.states_);for(var Y=0;Y<h.states_.length;++Y){var le=r[Y],Ne=M;if(!i.util.arraysEqual(le.shape,Ne))throw new w("State "+Y+" is incompatible with layer "+h.name+": "+("expected shape="+Ne+", received shape="+le.shape));h.states_[Y]=le}}h.states_=h.states_.map(function(We){return i.keep(We.clone())})})},u.prototype.computeSingleOutputShape=function(r){var o=this.cell,h=o.dataFormat,b=o.filters,T=o.kernelSize,M=o.padding,q=o.strides,Y=o.dilationRate,le=h==="channelsFirst",Ne=r[le?3:2],We=r[le?4:3],je=Ii(Ne,T[0],M,q[0],Y[0]),qe=Ii(We,T[1],M,q[1],Y[1]),mt=r.slice(0,2).concat(le?[b,je,qe]:[je,qe,b]);return mt},u.className="ConvRNN2D",u}(Ni),Au=function(s){O(u,s);function u(r){var o=this,h=r.filters,b=r.kernelSize,T=r.strides,M=r.padding,q=r.dataFormat,Y=r.dilationRate;return o=s.call(this,H({},r,{units:h}))||this,o.filters=h,tr(o.filters,"filters"),o.kernelSize=xs(b,2,"kernelSize"),o.kernelSize.forEach(function(le){return tr(le,"kernelSize")}),o.strides=xs(T||1,2,"strides"),o.strides.forEach(function(le){return tr(le,"strides")}),o.padding=M||"valid",_n(o.padding),o.dataFormat=q||"channelsLast",on(o.dataFormat),o.dilationRate=xs(Y||1,2,"dilationRate"),o.dilationRate.forEach(function(le){return tr(le,"dilationRate")}),o}return u.prototype.build=function(r){var o;r=$r(r);var h=this.dataFormat==="channelsFirst"?1:r.length-1;if(r[h]==null)throw new w("The channel dimension of the input should be defined. "+("Found "+r[h]));var b=r[h],T=4,M=this.kernelSize.concat([b,this.filters*T]);this.kernel=this.addWeight("kernel",M,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var q=this.kernelSize.concat([this.filters,this.filters*T]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",q,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var Y=void 0;if(this.unitForgetBias){var le=this.biasInitializer,Ne=this.filters;Y=new(o=function(We){O(je,We);function je(){return We!==null&&We.apply(this,arguments)||this}return je.prototype.apply=function(qe,mt){var pt=le.apply([Ne]),st=i.ones([Ne]),dt=le.apply([Ne*2]);return ji([pt,st,dt])},je}(ir),o.className="CustomInit",o)}else Y=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*T],null,Y,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r.length!==3)throw new w("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(r.length+"."));var b=o.training||!1,T=r[0],M=r[1],q=r[2],Y=4;0<h.dropout&&h.dropout<1&&h.dropoutMask==null&&(h.dropoutMask=Vo({ones:function(){return i.onesLike(T)},rate:h.dropout,training:b,count:Y}));var le=h.dropoutMask,Ne=function(Xn,$i,Vi){return!$i||!$i[Vi]?Xn:i.mul($i[Vi],Xn)},We=Ne(T,le,0),je=Ne(T,le,1),qe=Ne(T,le,2),mt=Ne(T,le,3);0<h.recurrentDropout&&h.recurrentDropout<1&&h.recurrentDropoutMask==null&&(h.recurrentDropoutMask=Vo({ones:function(){return i.onesLike(M)},rate:h.recurrentDropout,training:b,count:Y}));var pt=h.recurrentDropoutMask,st=Ne(M,pt,0),dt=Ne(M,pt,1),Dt=Ne(M,pt,2),or=Ne(M,pt,3),Xt=3,Jt=i.split(h.kernel.read(),Y,Xt),vr=Jt[0],lr=Jt[1],Ir=Jt[2],Lr=Jt[3],kr=h.useBias?i.split(h.bias.read(),Y):[null,null,null,null],Sr=kr[0],fn=kr[1],Xr=kr[2],$t=kr[3];We=h.inputConv(We,vr,Sr,h.padding),je=h.inputConv(je,lr,fn,h.padding),qe=h.inputConv(qe,Ir,Xr,h.padding),mt=h.inputConv(mt,Lr,$t,h.padding);var On=i.split(h.recurrentKernel.read(),Y,Xt),En=On[0],kn=On[1],cn=On[2],Mn=On[3];st=h.recurrentConv(st,En),dt=h.recurrentConv(dt,kn),Dt=h.recurrentConv(Dt,cn),or=h.recurrentConv(or,Mn);var Hr=h.recurrentActivation.apply(i.add(We,st)),ua=h.recurrentActivation.apply(i.add(je,dt)),Ci=i.add(i.mul(ua,q),i.mul(Hr,h.activation.apply(i.add(qe,Dt)))),Ui=i.mul(h.recurrentActivation.apply(i.add(mt,or)),h.activation.apply(Ci));return[Ui,Ui,Ci]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o=r.units,h=se(r,["units"]),b={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return H({},h,b)},u.prototype.inputConv=function(r,o,h,b){var T=i.conv2d(r,o,this.strides,b||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return h?te(T,h,this.dataFormat):T},u.prototype.recurrentConv=function(r,o){var h=1;return i.conv2d(r,o,h,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")},u.className="ConvLSTM2DCell",u}(Uo);i.serialization.registerClass(Au);var gc=function(s){O(u,s);function u(r){var o=this,h=new Au(r);return o=s.call(this,H({},r,{cell:h}))||this,o}return u.fromConfig=function(r,o){return new r(o)},u.className="ConvLSTM2D",u}(xl);i.serialization.registerClass(gc);var Us=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.rate=Math.max(Math.min(r.rate,1),0),o.noiseShape=r.noiseShape,o.seed=r.seed,o.supportsMasking=!0,o}return u.prototype.getNoiseShape=function(r){if(this.noiseShape==null)return this.noiseShape;for(var o=r.shape,h=[],b=0;b<this.noiseShape.length;++b)h.push(this.noiseShape[b]==null?o[b]:this.noiseShape[b]);return h},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r);if(0<h.rate&&h.rate<1){var T=o.training==null?!1:o.training,M=h.getNoiseShape(b),q=Ye(function(){return $e(b,h.rate,M,h.seed)},function(){return b},T);return q}return r})},u.prototype.getConfig=function(){var r={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.prototype.dispose=function(){return s.prototype.dispose.call(this)},u.className="Dropout",u}(qr);i.serialization.registerClass(Us);var xc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.inputSpec=[{ndim:3}],o}return u.prototype.getNoiseShape=function(r){var o=r.shape;return[o[0],1,o[2]]},u.className="SpatialDropout1D",u}(Us);i.serialization.registerClass(xc);var Qi=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;if(o.activation=null,o.useBias=!0,o.kernel=null,o.bias=null,o.DEFAULT_KERNEL_INITIALIZER="glorotNormal",o.DEFAULT_BIAS_INITIALIZER="zeros",r.batchInputShape==null&&r.inputShape==null&&r.inputDim!=null){var h=null;r.batchSize!=null&&(h=r.batchSize),o.batchInputShape=[h,r.inputDim]}return o.units=r.units,tr(o.units,"units"),o.activation=va(r.activation),r.useBias!=null&&(o.useBias=r.useBias),o.kernelInitializer=x(r.kernelInitializer||o.DEFAULT_KERNEL_INITIALIZER),o.biasInitializer=x(r.biasInitializer||o.DEFAULT_BIAS_INITIALIZER),o.kernelConstraint=xn(r.kernelConstraint),o.biasConstraint=xn(r.biasConstraint),o.kernelRegularizer=Fn(r.kernelRegularizer),o.biasRegularizer=Fn(r.biasRegularizer),o.activityRegularizer=Fn(r.activityRegularizer),o.supportsMasking=!0,o.inputSpec=[{minNDim:2}],o}return u.prototype.build=function(r){var o;r=$r(r);var h=r[r.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[h,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:(o={},o[-1]=h,o)}],this.built=!0},u.prototype.computeOutputShape=function(r){r=$r(r);var o=r.slice();return o[o.length-1]=this.units,o},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r),T=Tn(h.activation.getClassName()),M;return T!=null?M=pe(b,h.kernel.read(),T,h.bias?h.bias.read():null):(M=pe(b,h.kernel.read()),h.bias!=null&&(M=te(M,h.bias.read())),h.activation!=null&&(M=h.activation.apply(M))),M})},u.prototype.getConfig=function(){var r={units:this.units,activation:Qa(this.activation),useBias:this.useBias,kernelInitializer:S(this.kernelInitializer),biasInitializer:S(this.biasInitializer),kernelRegularizer:dn(this.kernelRegularizer),biasRegularizer:dn(this.biasRegularizer),activityRegularizer:dn(this.activityRegularizer),kernelConstraint:rn(this.kernelConstraint),biasConstraint:rn(this.biasConstraint)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Dense",u}(qr);i.serialization.registerClass(Qi);var hu=function(s){O(u,s);function u(r){var o=this;return r=r||{},o=s.call(this,r)||this,o.inputSpec=[{minNDim:3}],o.dataFormat=r.dataFormat,o}return u.prototype.computeOutputShape=function(r){r=$r(r);for(var o=0,h=r.slice(1);o<h.length;o++){var b=h[o];if(b==null)throw new w('The shape of the input to "Flatten" is not fully defined '+("(got "+r.slice(1)+"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[r[0],pa(r,1)]},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r);if(h.dataFormat==="channelsFirst"&&b.rank>1){for(var T=[0],M=2;M<b.rank;++M)T.push(M);T.push(1),b=b.transpose(T)}return ro(b)})},u.prototype.getConfig=function(){var r={};this.dataFormat!=null&&(r.dataFormat=this.dataFormat);var o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Flatten",u}(qr);i.serialization.registerClass(hu);var pr=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o.activation=va(r.activation),o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r);return h.activation.apply(b)})},u.prototype.getConfig=function(){var r={activation:Qa(this.activation)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Activation",u}(qr);i.serialization.registerClass(pr);var Vs=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.n=r.n,o.inputSpec=[{ndim:2}],o}return u.prototype.computeOutputShape=function(r){return[r[0],this.n,r[1]]},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){return r=ur(r),Di(r,h.n)})},u.prototype.getConfig=function(){var r={n:this.n},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="RepeatVector",u}(qr);i.serialization.registerClass(Vs);var Ho=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;o.targetShape=r.targetShape;for(var h=0;h<o.targetShape.length;++h)o.isUnknown(o.targetShape[h])&&(o.targetShape[h]=null);return o}return u.prototype.isUnknown=function(r){return r<0||r==null},u.prototype.fixUnknownDimension=function(r,o){for(var h="Total size of new array must be unchanged.",b=o.slice(),T=1,M=null,q=0;q<b.length;++q){var Y=b[q];if(this.isUnknown(Y))if(M===null)M=q;else throw new w("Can only specifiy one unknown dimension.");else T*=Y}var le=pa(r);if(M!==null){if(T===0||le%T!==0)throw new w(h);b[M]=le/T}else if(le!==T)throw new w(h);return b},u.prototype.computeOutputShape=function(r){for(var o=!1,h=0;h<r.length;++h)if(this.isUnknown(r[h])){o=!0;break}return o?r.slice(0,1).concat(this.targetShape):r.slice(0,1).concat(this.fixUnknownDimension(r.slice(1),this.targetShape))},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r),T=b.shape,M=T.slice(0,1).concat(h.fixUnknownDimension(T.slice(1),h.targetShape));return b.reshape(M)})},u.prototype.getConfig=function(){var r={targetShape:this.targetShape},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Reshape",u}(qr);i.serialization.registerClass(Ho);var Du=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;if(r.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(r.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+(r.dims+" instead."));var h=ln(1,r.dims.length+1);if(!i.util.arraysEqual(r.dims.slice().sort(),h))throw new Error("Invalid permutation `dims`: "+JSON.stringify(r.dims)+" `dims` must contain consecutive integers starting from 1.");return o.dims=r.dims,o.dimsIncludingBatch=[0].concat(o.dims),o.inputSpec=[new An({ndim:o.dims.length+1})],o}return u.prototype.computeOutputShape=function(r){r=$r(r);var o=r.slice();return this.dims.forEach(function(h,b){o[b+1]=r[h]}),o},u.prototype.call=function(r,o){return i.transpose(ur(r),this.dimsIncludingBatch)},u.prototype.getConfig=function(){var r={dims:this.dims},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Permute",u}(qr);i.serialization.registerClass(Du);var _c=function(s){O(u,s);function u(r){var o=s.call(this,r??{})||this;return o.supportsMasking=!0,r!=null?o.maskValue=r.maskValue==null?0:r.maskValue:o.maskValue=0,o}return u.prototype.computeOutputShape=function(r){return r},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={maskValue:this.maskValue};return Object.assign(o,r),o},u.prototype.computeMask=function(r,o){var h=ur(r),b=-1;return i.any(i.notEqual(h,this.maskValue),b)},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r),T=-1,M=!0,q=i.any(i.notEqual(b,h.maskValue),T,M),Y=b.mul(q.asType(b.dtype));return Y})},u.className="Masking",u}(qr);i.serialization.registerClass(_c);var Fu=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;if(o.embeddings=null,o.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",r.batchInputShape==null&&r.inputShape==null){var h=null;r.batchSize!=null&&(h=r.batchSize),r.inputLength==null?o.batchInputShape=[h,null]:o.batchInputShape=[h].concat(Qe(r.inputLength))}return o.inputDim=r.inputDim,tr(o.inputDim,"inputDim"),o.outputDim=r.outputDim,tr(o.outputDim,"outputDim"),o.embeddingsInitializer=x(r.embeddingsInitializer||o.DEFAULT_EMBEDDINGS_INITIALIZER),o.embeddingsRegularizer=Fn(r.embeddingsRegularizer),o.activityRegularizer=Fn(r.activityRegularizer),o.embeddingsConstraint=xn(r.embeddingsConstraint),o.maskZero=r.maskZero,o.supportsMasking=r.maskZero,o.inputLength=r.inputLength,o}return u.prototype.build=function(r){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},u.prototype.warnOnIncompatibleInputShape=function(r){},u.prototype.computeMask=function(r,o){var h=this;return i.tidy(function(){return h.maskZero?(r=ur(r),i.notEqual(r,i.zerosLike(r))):null})},u.prototype.computeOutputShape=function(r){if(r=$r(r),this.inputLength==null)return r.concat([this.outputDim]);var o=Qe(this.inputLength);if(o.length!==r.length-1)throw new w('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+r));for(var h=0,b=0;b<o.length;++b){var T=o[b],M=r[b+1];if(T!=null&&M!=null&&T!==M)throw new w('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+r));T==null&&(o[h]=M),h++}return[r[0]].concat(o,[this.outputDim])},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r);b.dtype!=="int32"&&(b=ni(b,"int32"));var T=X(h.embeddings.read(),b.as1D());return T.reshape($r(h.computeOutputShape(b.shape)))})},u.prototype.getConfig=function(){var r={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:S(this.embeddingsInitializer),embeddingsRegularizer:dn(this.embeddingsRegularizer),activityRegularizer:dn(this.activityRegularizer),embeddingsConstraint:rn(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Embedding",u}(qr);i.serialization.registerClass(Fu);var Go=function(s){O(u,s);function u(r){var o=s.call(this,r||{})||this;return o.supportsMasking=!0,o}return u.prototype.mergeFunction=function(r){throw new ge},u.prototype.computeElementwiseOpOutputShape=function(r,o){if(r==null||o==null)return null;if(r.length<o.length)return this.computeElementwiseOpOutputShape(o,r);if(o.length===0)return r;for(var h=r.slice(0,r.length-o.length),b=0;b<o.length;++b){var T=r[r.length-o.length+b],M=o[b];if(T==null||M==null||T<0||M<0)h.push(null);else if(T===1)h.push(M);else if(M===1)h.push(T);else{if(T!==M)throw new w("Operands could not be broadcast together with shapes "+JSON.stringify(r)+" "+JSON.stringify(o));h.push(T)}}return h},u.prototype.build=function(r){if(Array.isArray(r)&&!Array.isArray(r[0])&&(r=[$r(r)]),r=r,r.length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs."+(" Got "+r.length+" input(s)."));for(var o=[],h=0,b=r;h<b.length;h++){var T=b[h];T!=null&&T[0]!==null&&o.push(T[0])}if(o=qt(o),o.length>1)throw new w("Can not merge tensors with different batch sizes. "+("Got tensors with shapes: "+JSON.stringify(r)+"."));for(var M=r[0]==null?null:r[0].slice(1),q=1;q<r.length;++q){var T=r[q]==null?null:r[q].slice(1);M=this.computeElementwiseOpOutputShape(M,T)}var Y=r.map(function(le){return le.length});r.indexOf(null)===-1&&qt(Y).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r=r,h.reshapeRequired){var b=[],T=r.map(function(Ir){return Ir.rank});if(T.indexOf(null)===-1){for(var M=Va(T),q=0,Y=r;q<Y.length;q++){for(var le=Y[q],Ne=le.rank,We=0;We<M-Ne;++We)le=gr(le,1);b.push(le)}return h.mergeFunction(b)}else{for(var je=!1,qe=0,mt=r;qe<mt.length;qe++){var le=mt[qe],Ne=le.rank;if(Ne==null){var pt=le.shape,st=pt[0],dt=pt.slice(1).concat([st]),Dt=le.reshape([st].concat(pa(pt.slice(1))));Dt=i.transpose(Dt,[1,0]),Dt=Dt.reshape(dt),b.push(Dt),je=!0}else if(Ne>1){var or=ln(1,Ne).concat([0]);b.push(i.transpose(le,or)),je=!0}else b.push(le)}var Xt=h.mergeFunction(b),Jt=Xt.rank;if(je){if(Jt==null){var vr=Xt.shape,lr=vr.length,st=vr[lr-1],dt=[st].concat(vr.slice(0,vr.length-1));Xt=i.transpose(Xt.reshape([-1,st]),[1,0]).reshape(dt)}else if(Jt>1){var or=[Jt-1].concat(ln(0,Jt-1));Xt=i.transpose(Xt,or)}}return Xt}}else return h.mergeFunction(r)})},u.prototype.computeOutputShape=function(r){r=r;var o;r[0]==null?o=null:o=r[0].slice(1);for(var h=1;h<r.length;++h){var b=r[h]==null?null:r[h].slice(1);o=this.computeElementwiseOpOutputShape(o,b)}for(var T=[],M=0,q=r;M<q.length;M++){var b=q[M];b!=null&&b[0]!==null&&T.push(b[0])}return T=qt(T),T.length===1?o=T.concat(o):o=[null].concat(o),o},u.prototype.computeMask=function(r,o){return i.tidy(function(){if(o==null)return null;if(!Array.isArray(o))throw new w("`mask` should be an Array");if(!Array.isArray(r))throw new w("`inputs` should be an Array");if(o.length!==r.length)throw new w("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+("("+r.length+" vs "+o.length+")"));if(o.every(function(T){return T==null}))return null;o=o.map(function(T){return T==null?T:i.expandDims(T,0)});for(var h=o[0],b=1;b<o.length-1;++b)h=i.logicalAnd(h,o[b]);return h})},u}(qr),wc=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.mergeFunction=function(r){return i.tidy(function(){for(var o=r[0].clone(),h=1;h<r.length;++h)o=i.add(o,r[h]);return o})},u.className="Add",u}(Go);i.serialization.registerClass(wc);var Ou=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.mergeFunction=function(r){return i.tidy(function(){for(var o=r[0].clone(),h=1;h<r.length;++h)o=i.mul(o,r[h]);return o})},u.className="Multiply",u}(Go);i.serialization.registerClass(Ou);var Hs=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.mergeFunction=function(r){return i.tidy(function(){for(var o=r[0].clone(),h=1;h<r.length;++h)o=i.add(o,r[h]);return i.mul(1/r.length,o)})},u.className="Average",u}(Go);i.serialization.registerClass(Hs);var bc=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.mergeFunction=function(r){return i.tidy(function(){for(var o=r[0],h=1;h<r.length;++h)o=i.maximum(o,r[h]);return o})},u.className="Maximum",u}(Go);i.serialization.registerClass(bc);var lo=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.mergeFunction=function(r){return i.tidy(function(){for(var o=r[0],h=1;h<r.length;++h)o=i.minimum(o,r[h]);return o})},u.className="Minimum",u}(Go);i.serialization.registerClass(lo);var kc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.DEFAULT_AXIS=-1,r==null&&(r={}),o.axis=r.axis==null?o.DEFAULT_AXIS:r.axis,o.supportsMasking=!0,o.reshapeRequired=!1,o}return u.prototype.build=function(r){if(!(Array.isArray(r)&&Array.isArray(r[0]))||r.length===1)throw new w("A `Concatenate` layer should be called on a list of at least 2 inputs");r=r;for(var o=!0,h=0,b=r;h<b.length;h++){var T=b[h];if(T!=null){o=!1;break}}if(o)return;for(var M=[],q=0;q<r.length;++q){var Y=r[q].slice();Y.splice(this.axis,1);for(var le=!1,Ne=0,We=M;Ne<We.length;Ne++){var T=We[Ne];if(i.util.arraysEqual(T,Y)){le=!0;break}}le||M.push(Y)}if(M.length>1)throw new w("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(r))},u.prototype.mergeFunction=function(r){var o=this;return i.tidy(function(){return ji(r,o.axis)})},u.prototype.computeOutputShape=function(r){if(!(Array.isArray(r)&&Array.isArray(r[0])))throw new w("A `Concatenate` layer should be called on a list of inputs.");for(var o=r,h=o[0].slice(),b=this.axis<0?h.length+this.axis:this.axis,T=0,M=o.slice(1);T<M.length;T++){var q=M[T];if(h[b]==null||q[b]==null){h[b]=null;break}h[b]+=q[b]}return h},u.prototype.computeMask=function(r,o){var h=this;if(o==null)return null;if(!Array.isArray(o))throw new w("`mask` should be an array for Concatenate");if(!Array.isArray(r))throw new w("`inputs` should be an array for Concatenate");if(o.length!==r.length)throw new w("Mismatch in the length of mask ("+o.length+") "+("and the legnth of inputs ("+r.length+")"));return i.tidy(function(){var b=!0;if(o.forEach(function(Y){if(Y!=null){b=!1;return}}),b)return null;for(var T=[],M=0;M<r.length;++M)o[M]==null?T.push(i.onesLike(r[M]).asType("bool")):o[M].rank<r[M].rank?T.push(i.expandDims(o[M],-1)):T.push(o[M]);var q=i.concat(T,h.axis);return i.all(q,-1,!1)})},u.prototype.getConfig=function(){var r={axis:this.axis},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Concatenate",u}(Go);i.serialization.registerClass(kc);function ho(s,u){for(;s<0;)s+=u;return s}function Sc(s,u,r){if(s.shape.length>3||u.shape.length>3)throw new ge("batchDot is not implemented for tensors of 4D or higher rank yet");if(i.util.assert(s.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, "+("but got "+s.shape.length)}),i.util.assert(s.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, "+("but got "+u.shape.length)}),typeof r=="number"&&(r=[r,r]),s.dtype==="complex64"||u.dtype==="complex64")throw new ge("batchDot is not implemented for complex64-type Tensors yet.");var o=s.shape.length,h=u.shape.length;r==null&&(r=[o-1,h-2]);var b=r;return i.tidy(function(){var T;if(o>h){T=o-h;for(var M=[],q=0;q<T;++q)M.push(1);u=u.reshape(u.shape.concat(M))}else if(h>o){T=h-o;for(var M=[],q=0;q<T;++q)M.push(1);s=s.reshape(s.shape.concat(M))}else T=0;var Y;if(s.shape.length===2&&u.shape.length===2)b[0]===b[1]?Y=s.mul(u).sum(b[0]):Y=s.transpose([1,0]).mul(u).sum(b[1]);else{var le=b[0]!==s.shape.length-1,Ne=b[1]===u.shape.length-1;Y=s.matMul(u,le,Ne)}if(T>0){var We=void 0;o>h?We=o+h-3:We=o-1;for(var je=[],q=We;q<We+T;++q)je.push(q);Y=Y.squeeze(je)}return Y.shape.length===1&&(Y=Y.expandDims(1)),Y})}var pu=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.axes=r.axes,o.normalize=r.normalize==null?!1:r.normalize,o.supportsMasking=!0,o.reshapeRequired=!1,o}return u.prototype.build=function(r){i.util.assert(Array.isArray(r)&&r.length===2&&Array.isArray(r[0])&&Array.isArray(r[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var o=r[0],h=r[1];if(o.length>3||h.length>3)throw new ge("Dot layer does not support tensors of 4D or higher rank yet.");var b=this.interpretAxes(o,h);if(o[b[0]]!==h[b[1]])throw new w("Dimension incompatibility: "+(o[b[0]]+" !== "+h[b[1]]))},u.prototype.mergeFunction=function(r){if(r.length!==2)throw new w("A `Dot` layer must be called on exactly 2 inputs, "+("but received "+r.length+" input(s)."));var o=r[0],h=r[1],b;return Array.isArray(this.axes)?b=this.axes.map(function(T,M){return ho(T,r[M].shape.length)}):b=[ho(this.axes,o.shape.length),ho(this.axes,h.shape.length)],this.normalize&&(o=Xa(o,b[0]),h=Xa(h,b[1])),Sc(o,h,b)},u.prototype.interpretAxes=function(r,o){var h;return Array.isArray(this.axes)?h=this.axes:h=[ho(this.axes,r.length),ho(this.axes,o.length)],h},u.prototype.computeOutputShape=function(r){i.util.assert(Array.isArray(r)&&r.length===2&&Array.isArray(r[0])&&Array.isArray(r[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var o=r[0].slice(),h=r[1].slice();if(o.length>3||h.length>3)throw new ge("Dot layer does not support tensors of 4D or higher rank yet.");var b=this.interpretAxes(o,h);o.splice(b[0],1),h.splice(b[1],1),h.splice(0,1);var T=o.concat(h);return T.length===1&&T.push(1),T},u.prototype.computeMask=function(r,o){return null},u.prototype.getConfig=function(){var r={axes:this.axes,normalize:this.normalize},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Dot",u}(Go);i.serialization.registerClass(pu);var Ic=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o.stddev=r.stddev,o}return u.prototype.computeOutputShape=function(r){return r},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={stddev:this.stddev};return Object.assign(o,r),o},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r),T=function(){return Mi(b.shape,0,h.stddev).add(b)},M=Ye(T,function(){return b},o.training||!1);return M})},u.className="GaussianNoise",u}(qr);i.serialization.registerClass(Ic);var Mu=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o.rate=r.rate,o}return u.prototype.computeOutputShape=function(r){return r},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={rate:this.rate};return Object.assign(o,r),o},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=ur(r);if(h.rate>0&&h.rate<1){var T=function(){var M=Math.sqrt(h.rate/(1-h.rate));return b.mul(Mi(b.shape,1,M))};return Ye(T,function(){return b},o.training||!1)}return b})},u.className="GaussianDropout",u}(qr);i.serialization.registerClass(Mu);var Gs=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o.rate=r.rate,o.noiseShape=r.noiseShape,o}return u.prototype._getNoiseShape=function(r){return this.noiseShape||ur(r).shape},u.prototype.computeOutputShape=function(r){return r},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={rate:this.rate};return Object.assign(o,r),o},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(h.rate<1&&h.rate>0){var b=h._getNoiseShape(r),T=function(){var M=ur(r),q=1.6732632423543772,Y=1.0507009873554805,le=-q*Y,Ne=i.greaterEqual(i.randomUniform(b),h.rate);Ne=ni(Ne,"float32");var We=Math.pow((1-h.rate)*(1+h.rate*Math.pow(le,2)),-.5),je=-We*le*h.rate,qe=M.mul(Ne).add(Ne.add(-1).mul(le));return qe.mul(We).add(je)};return Ye(T,function(){return ur(r)},o.training||!1)}return r})},u.className="AlphaDropout",u}(qr);i.serialization.registerClass(Gs);function po(s,u,r,o,h,b){b===void 0&&(b=.001);var T;if(s.rank===2)T=i.batchNorm2d(s,u,r,o,h,b);else if(s.rank===3)T=i.batchNorm3d(s,u,r,o,h,b);else if(s.rank===4)T=i.batchNorm4d(s,u,r,o,h,b);else throw new ge("batchNormalization is not implemented for array of rank "+s.rank+" yet");return T}function Lu(s,u,r,o,h){return h===void 0&&(h=.001),i.tidy(function(){var b=i.moments(s,o),T=b.mean,M=b.variance,q=po(s,T,M,r,u,h);return[q,T,M]})}function _l(s,u,r,o,h){return h===void 0&&(h=.001),i.tidy(function(){for(var b=i.moments(s,o),T=b.mean,M=b.variance,q=[],Y=0,le=ln(0,s.rank);Y<le.length;Y++){var Ne=le[Y];o.indexOf(Ne)!==-1?q.push(1):q.push(s.shape[Ne])}var We=T.reshape(q),je=M.reshape(q),qe=u==null?null:u.reshape(q),mt=r==null?null:r.reshape(q),pt=po(s,We,je,mt,qe,h);return[pt,T,M]})}function zu(s,u,r,o,h){return h===void 0&&(h=.001),i.util.arraysEqual(o.slice().sort(),ln(0,s.rank-1))?Lu(s,u,r,o,h):_l(s,u,r,o,h)}var Pu=function(s){O(u,s);function u(r){var o=this;return r==null&&(r={}),o=s.call(this,r)||this,o.supportsMasking=!0,o.axis=r.axis==null?-1:r.axis,o.momentum=r.momentum==null?.99:r.momentum,o.epsilon=r.epsilon==null?.001:r.epsilon,o.center=r.center==null?!0:r.center,o.scale=r.scale==null?!0:r.scale,o.betaInitializer=x(r.betaInitializer||"zeros"),o.gammaInitializer=x(r.gammaInitializer||"ones"),o.movingMeanInitializer=x(r.movingMeanInitializer||"zeros"),o.movingVarianceInitializer=x(r.movingVarianceInitializer||"ones"),o.betaConstraint=xn(r.betaConstraint),o.gammaConstraint=xn(r.gammaConstraint),o.betaRegularizer=Fn(r.betaRegularizer),o.gammaRegularizer=Fn(r.gammaRegularizer),o}return u.prototype.build=function(r){var o;r=$r(r);var h=this.axis>=0?this.axis:this.axis+r.length,b=r[h];if(b==null)throw new w("Axis "+h+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(r)+"."));this.inputSpec=[new An({ndim:r.length,axes:(o={},o[h]=b,o)})];var T=[b];this.scale&&(this.gamma=this.addWeight("gamma",T,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",T,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",T,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",T,null,this.movingVarianceInitializer,null,!1),this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=o.training==null?!1:o.training,T=ur(r),M=T.shape,q=M.length,Y=ln(0,q),le=h.axis>=0?h.axis:h.axis+q;Y.splice(le,1);var Ne=nt(1,q);Ne[le]=M[le];var We=Y.slice();We.sort();var je=!i.util.arraysEqual(We,ln(0,q).slice(0,q-1)),qe=function(){if(je){var Xt=h.movingMean.read().reshape(Ne),Jt=h.movingVariance.read().reshape(Ne),vr=h.center?h.beta.read().reshape(Ne):null,lr=h.scale?h.gamma.read().reshape(Ne):null;return po(T,Xt,Jt,vr,lr,h.epsilon)}else return po(T,h.movingMean.read(),h.movingVariance.read(),h.beta==null?null:h.beta.read(),h.gamma==null?null:h.gamma.read(),h.epsilon)};if(!b)return qe();var mt=zu(T,h.gamma.read(),h.beta.read(),Y,h.epsilon),pt=mt[0],st=mt[1],dt=mt[2],Dt=function(Xt,Jt,vr){i.tidy(function(){var lr=1-vr,Ir=Xt.read(),Lr=Ir.sub(Jt).mul(lr);Xt.write(Ir.sub(Lr))})},or=function(){Dt(h.movingMean,st,h.momentum),Dt(h.movingVariance,dt,h.momentum)};return or(),pt})},u.prototype.getConfig=function(){var r={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:S(this.betaInitializer),gammaInitializer:S(this.gammaInitializer),movingMeanInitializer:S(this.movingMeanInitializer),movingVarianceInitializer:S(this.movingVarianceInitializer),betaRegularizer:dn(this.betaRegularizer),gammaRegularizer:dn(this.gammaRegularizer),betaConstraint:rn(this.betaConstraint),gammaConstraint:rn(this.gammaConstraint)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="BatchNormalization",u}(qr);i.serialization.registerClass(Pu);var du=function(s){O(u,s);function u(r){var o=this;if(r==null&&(r={}),o=s.call(this,r)||this,o.axis=r.axis==null?-1:r.axis,typeof o.axis=="number"){if(!Number.isInteger(o.axis))throw new Error("Expected axis to be an integer, but received "+o.axis)}else if(Array.isArray(o.axis))for(var h=0,b=o.axis;h<b.length;h++){var T=b[h];if(!Number.isInteger(T))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(o.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(o.axis)));return o.epsilon=r.epsilon==null?.001:r.epsilon,o.center=r.center==null?!0:r.center,o.scale=r.scale==null?!0:r.scale,o.betaInitializer=x(r.betaInitializer||"zeros"),o.gammaInitializer=x(r.gammaInitializer||"ones"),o.betaRegularizer=Fn(r.betaRegularizer),o.gammaRegularizer=Fn(r.gammaRegularizer),o.supportsMasking=!0,o}return u.prototype.build=function(r){r=$r(r);var o=r.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(var h=0;h<this.axis.length;++h)this.axis[h]<0&&(this.axis[h]+=o);for(var b=0,T=this.axis;b<T.length;b++){var M=T[b];if(M<0||M>=o)throw new Error("Invalid axis: "+M)}if(this.axis.length!==qt(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var q=this.axis.map(function(le){return r[le]}),Y=!0;this.scale?this.gamma=this.addWeight("gamma",q,"float32",this.gammaInitializer,this.gammaRegularizer,Y):this.gamma=null,this.center?this.beta=this.addWeight("beta",q,"float32",this.betaInitializer,this.betaRegularizer,Y):this.beta=null,this.built=!0},u.prototype.call=function(r,o){var h=this,b=ur(r),T=b.shape,M=T.length;return i.tidy(function(){for(var q=!0,Y=i.moments(b,h.axis,q),le=Y.mean,Ne=Y.variance,We=nt(1,M),je=0,qe=h.axis;je<qe.length;je++){var mt=qe[je];We[mt]=T[mt]}for(var pt=function(Jt){return Jt!=null&&Jt.shape.length!==M&&h.axis!==[M-1]?Jt.reshape(We):Jt},st=pt(h.gamma.read()),dt=pt(h.beta.read()),Dt=[],or=[],Xt=0;Xt<M;++Xt)h.axis.indexOf(Xt)!==-1?(Dt.push(T[Xt]),or.push(1)):(Dt.push(1),or.push(T[Xt]));return le=le.tile(Dt),Ne=Ne.tile(Dt),st=st.tile(or),dt=dt.tile(or),po(b,le,Ne,dt,st,h.epsilon)})},u.prototype.getConfig=function(){var r={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:S(this.betaInitializer),gammaInitializer:S(this.gammaInitializer),betaRegularizer:dn(this.betaRegularizer),gammaRegularizer:dn(this.gammaRegularizer)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="LayerNormalization",u}(qr);i.serialization.registerClass(du);function wl(s,u,r){return i.tidy(function(){if(s.rank!==4)throw new w("temporalPadding expects input tensor to be 4-D, but received a "+(s.rank+"-D tensor."));if(u==null&&(u=[[1,1],[1,1]]),u.length!==2||u[0].length!==2||u[1].length!==2)throw new w("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(r==null&&(r=he()),r!=="channelsLast"&&r!=="channelsFirst")throw new w("Unknown data format: "+r+". Supported data formats are 'channelsLast' and 'channelsFirst.");var o;return r==="channelsFirst"?o=[[0,0],[0,0],u[0],u[1]]:o=[[0,0],u[0],u[1],[0,0]],i.pad(s,o)})}var fu=function(s){O(u,s);function u(r){var o=this;if(r==null&&(r={}),o=s.call(this,r)||this,o.dataFormat=r.dataFormat==null?he():r.dataFormat,r.padding==null)o.padding=[[1,1],[1,1]];else if(typeof r.padding=="number")o.padding=[[r.padding,r.padding],[r.padding,r.padding]];else{if(r.padding=r.padding,r.padding.length!==2)throw new w("ZeroPadding2D expects padding to be a length-2 array, but "+("received a length-"+r.padding.length+" array."));var h=void 0,b=void 0;if(typeof r.padding[0]=="number")h=[r.padding[0],r.padding[0]],b=[r.padding[1],r.padding[1]];else{if(r.padding=r.padding,r.padding[0].length!==2)throw new w("ZeroPadding2D expects height padding to be a length-2 array, "+("but received a length-"+r.padding[0].length+" array."));if(h=r.padding[0],r.padding[1].length!==2)throw new w("ZeroPadding2D expects width padding 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i.tidy(function(){on(h),xa(b),_n(o),r==null&&(r=[1,1]),o==null&&(o="valid"),h==null&&(h=he()),b==null&&(b="max"),s=bo(s,h);var T,M=o==="same"?"same":"valid";return b==="max"?T=i.maxPool(s,u,r,M):T=i.avgPool(s,u,r,M),h==="channelsFirst"&&(T=i.transpose(T,[0,3,1,2])),T})}function Nc(s,u,r,o,h,b){return i.tidy(function(){on(h),xa(b),_n(o),r==null&&(r=[1,1,1]),o==null&&(o="valid"),h==null&&(h=he()),b==null&&(b="max"),s=so(s,h);var T,M=o==="same"?"same":"valid";return b==="max"?T=i.maxPool3d(s,u,r,M):T=i.avgPool3d(s,u,r,M),h==="channelsFirst"&&(T=i.transpose(T,[0,4,1,2,3])),T})}var Cc=function(s){O(u,s);function u(r){var o=this;if(r.poolSize==null&&(r.poolSize=2),o=s.call(this,r)||this,typeof r.poolSize=="number")o.poolSize=[r.poolSize];else if(Array.isArray(r.poolSize)&&r.poolSize.length===1&&typeof r.poolSize[0]=="number")o.poolSize=r.poolSize;else throw new w("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received 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r={poolSize:this.poolSize,padding:this.padding,strides:this.strides},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u}(qr),Tc=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),_n(b),mu(r,o,h,b,T,"max")},u.className="MaxPooling1D",u}(Cc);i.serialization.registerClass(Tc);var Ec=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),_n(b),mu(r,o,h,b,T,"avg")},u.className="AveragePooling1D",u}(Cc);i.serialization.registerClass(Ec);var Ke=function(s){O(u,s);function u(r){var o=this;if(r.poolSize==null&&(r.poolSize=[2,2]),o=s.call(this,r)||this,o.poolSize=Array.isArray(r.poolSize)?r.poolSize:[r.poolSize,r.poolSize],r.strides==null)o.strides=o.poolSize;else if(Array.isArray(r.strides)){if(r.strides.length!==2)throw new w("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but 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r={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u}(qr),Rc=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),_n(b),mu(r,o,h,b,T,"max")},u.className="MaxPooling2D",u}(Ke);i.serialization.registerClass(Rc);var un=function(s){O(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),_n(b),mu(r,o,h,b,T,"avg")},u.className="AveragePooling2D",u}(Ke);i.serialization.registerClass(un);var Ac=function(s){O(u,s);function u(r){var o=this;if(r.poolSize==null&&(r.poolSize=[2,2,2]),o=s.call(this,r)||this,o.poolSize=Array.isArray(r.poolSize)?r.poolSize:[r.poolSize,r.poolSize,r.poolSize],r.strides==null)o.strides=o.poolSize;else if(Array.isArray(r.strides)){if(r.strides.length!==3)throw new w("If the strides property of a 3D pooling layer is an Array, it is 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ge},u}(qr),Fc=function(s){O(u,s);function u(r){return s.call(this,r||{})||this}return u.prototype.call=function(r,o){return i.tidy(function(){var h=ur(r);return i.mean(h,1)})},u.className="GlobalAveragePooling1D",u}($n);i.serialization.registerClass(Fc);var Oc=function(s){O(u,s);function u(r){return s.call(this,r||{})||this}return u.prototype.call=function(r,o){return i.tidy(function(){var h=ur(r);return i.max(h,1)})},u.className="GlobalMaxPooling1D",u}($n);i.serialization.registerClass(Oc);var Mc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.dataFormat=r.dataFormat==null?"channelsLast":r.dataFormat,on(o.dataFormat),o.inputSpec=[new An({ndim:4})],o}return u.prototype.computeOutputShape=function(r){return r=r,this.dataFormat==="channelsLast"?[r[0],r[3]]:[r[0],r[1]]},u.prototype.call=function(r,o){throw new ge},u.prototype.getConfig=function(){var r={dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u}(qr),js=function(s){O(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=ur(r);return h.dataFormat==="channelsLast"?i.mean(b,[1,2]):i.mean(b,[2,3])})},u.className="GlobalAveragePooling2D",u}(Mc);i.serialization.registerClass(js);var is=function(s){O(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=ur(r);return h.dataFormat==="channelsLast"?i.max(b,[1,2]):i.max(b,[2,3])})},u.className="GlobalMaxPooling2D",u}(Mc);i.serialization.registerClass(is);var Lc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.layer=r.layer,o}return u.prototype.build=function(r){this.built=!0},Object.defineProperty(u.prototype,"trainable",{get:function(){return this.layer!=null?this.layer.trainable:!1},set:function(r){this.layer!=null&&(this.layer.trainable=r)},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(u.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),u.prototype.getWeights=function(){return this.layer.getWeights()},u.prototype.setWeights=function(r){this.layer.setWeights(r)},u.prototype.getConfig=function(){var r={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.prototype.setFastWeightInitDuringBuild=function(r){s.prototype.setFastWeightInitDuringBuild.call(this,r),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(r)},u.fromConfig=function(r,o,h){h===void 0&&(h={});var b=o.layer,T=oa(b,h);delete o.layer;var M={layer:T};return Object.assign(M,o),new r(M)},u}(qr),zc=function(s){O(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o}return u.prototype.build=function(r){if(r=$r(r),r.length<3)throw new w("TimeDistributed layer expects an input shape >= 3D, but received "+("input shape "+JSON.stringify(r)));this.inputSpec=[{shape:r}];var o=[r[0]].concat(r.slice(2));this.layer.built||(this.layer.build(o),this.layer.built=!0),s.prototype.build.call(this,r)},u.prototype.computeOutputShape=function(r){r=$r(r);var o=[r[0]].concat(r.slice(2)),h=this.layer.computeOutputShape(o),b=r[1];return[h[0],b].concat(h.slice(1))},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=ur(r);var b=function(q,Y){var le=ur(h.layer.call(q,o));return[le,[]]},T=yc(b,r,[],!1,null,null,!1,!0),M=T[1];return M})},u.className="TimeDistributed",u}(Lc);i.serialization.registerClass(zc);function yu(s){jr(wi,"BidirectionalMergeMode",s)}var Pc="concat",Bu=function(s){O(u,s);function u(r){var o=s.call(this,r)||this,h=r.layer.getConfig(),b={};b.className=r.layer.getClassName(),b.config=h,o.forwardLayer=oa(b),h.goBackwards=!(h.goBackwards===!0);var T={};if(T.className=r.layer.getClassName(),T.config=h,o.backwardLayer=oa(T),o.forwardLayer.name="forward_"+o.forwardLayer.name,o.backwardLayer.name="backward_"+o.backwardLayer.name,o.mergeMode=r.mergeMode===void 0?Pc:r.mergeMode,yu(o.mergeMode),r.weights)throw new ge("weights support is not implemented for Bidirectional layer yet.");return o._stateful=r.layer.stateful,o.returnSequences=r.layer.returnSequences,o.returnState=r.layer.returnState,o.supportsMasking=!0,o._trainable=!0,o.inputSpec=r.layer.inputSpec,o.numConstants=null,o}return Object.defineProperty(u.prototype,"trainable",{get:function(){return this._trainable},set:function(r){this._trainable=r,this.forwardLayer!=null&&(this.forwardLayer.trainable=r),this.backwardLayer!=null&&(this.backwardLayer.trainable=r)},enumerable:!0,configurable:!0}),u.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},u.prototype.setWeights=function(r){var o=r.length,h=Math.floor(o/2);this.forwardLayer.setWeights(r.slice(0,h)),this.backwardLayer.setWeights(r.slice(h))},u.prototype.computeOutputShape=function(r){var o=this.forwardLayer.computeOutputShape(r);Array.isArray(o)&&Array.isArray(o[0])||(o=[o]),o=o;var h,b,T;return this.returnState&&(T=o.slice(1)),h=o[0],h=h,this.mergeMode==="concat"?(h[h.length-1]*=2,b=[h]):this.mergeMode==null?b=[h,h.slice()]:b=[h],this.returnState?this.mergeMode==null?b.concat(T).concat(T.slice()):[h].concat(T).concat(T.slice()):Tt(b)},u.prototype.apply=function(r,o){var h=o==null?null:o.initialState,b=o==null?null:o.constants;o==null&&(o={});var T=mc(r,h,b,this.numConstants);if(r=T.inputs,h=T.initialState,b=T.constants,Array.isArray(r)&&(h=r.slice(1),r=r[0]),(h==null||h.length===0)&&b==null)return s.prototype.apply.call(this,r,o);var M=[],q=[];if(h!=null){var Y=h.length;if(Y%2>0)throw new w("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");o.initialState=h,M.push.apply(M,h);var le=h.map(function(Dt){return new An({shape:Dt.shape})});this.forwardLayer.stateSpec=le.slice(0,Y/2),this.backwardLayer.stateSpec=le.slice(Y/2),q.push.apply(q,le)}if(b!=null)throw new ge("Support for constants in Bidirectional layers is not implemented yet.");for(var Ne=M[0]instanceof ba,We=0,je=M;We<je.length;We++){var qe=je[We];if(qe instanceof ba!==Ne)throw new w("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(Ne){var mt=[r].concat(M),pt=this.inputSpec.concat(q),st=this.inputSpec;this.inputSpec=pt;var dt=s.prototype.apply.call(this,mt,o);return this.inputSpec=st,dt}else return s.prototype.apply.call(this,r,o)},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=o.initialState,T,M;if(b==null)T=h.forwardLayer.call(r,o),M=h.backwardLayer.call(r,o);else{var q=b.slice(0,b.length/2),Y=b.slice(b.length/2);T=h.forwardLayer.call(r,Object.assign(o,{initialState:q})),M=h.backwardLayer.call(r,Object.assign(o,{initialState:Y}))}var le;h.returnState&&(Array.isArray(T)&&(le=T.slice(1).concat(M.slice(1))),T=T[0],M=M[0]),h.returnSequences&&(M=i.reverse(M,1));var Ne;return h.mergeMode==="concat"?Ne=ji([T,M]):h.mergeMode==="sum"?Ne=i.add(T,M):h.mergeMode==="ave"?Ne=i.mul(.5,i.add(T,M)):h.mergeMode==="mul"?Ne=i.mul(T,M):h.mergeMode==null&&(Ne=[T,M]),h.returnState?h.mergeMode==null?Ne.concat(le):[Ne].concat(le):Ne})},u.prototype.resetStates=function(r){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},u.prototype.build=function(r){var o=this;_a(this.forwardLayer.name,function(){o.forwardLayer.build(r)}),_a(this.backwardLayer.name,function(){o.backwardLayer.build(r)}),this.built=!0},u.prototype.computeMask=function(r,o){Array.isArray(o)&&(o=o[0]);var h;if(this.returnSequences?this.mergeMode==null?h=[o,o]:h=o:this.mergeMode==null?h=[null,null]:h=null,this.returnState){var b=this.forwardLayer.states,T=b.map(function(M){return null});return Array.isArray(h)?h.concat(T).concat(T):[h].concat(T).concat(T)}else return h},Object.defineProperty(u.prototype,"trainableWeights",{get:function(){return 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Ar=se(W(wr),1),Yt=Ar[0];Qt.inputs.push(Je[Yt]),Je[Yt].children.push(Qt)})});var zt=x.ret;x.signature.outputArg.forEach(function(Gt){var Qt=se(W(zt[Gt.name]),2),wr=Qt[0],Ar=Qt[1],Yt=Je[wr];Yt!=null&&(Yt.defaultOutput=Ar,vt.push(Yt))});var Wt=this.mapArgsToSignature(x);return{nodes:Je,inputs:Be,outputs:vt,weights:we,placeholders:Se,signature:Wt}},S.prototype.mapArgsToSignature=function(x){var k=this;return{methodName:x.signature.name,inputs:x.signature.inputArg.reduce(function(K,Se){return K[Se.name]=k.mapArgToTensorInfo(Se),K},{}),outputs:x.signature.outputArg.reduce(function(K,Se){return K[Se.name]=k.mapArgToTensorInfo(Se,x.ret),K},{})}},S.prototype.mapArgToTensorInfo=function(x,k){var K=x.name;return k!=null&&(K=k[K]),{name:K,dtype:x.type}},S}();function wi(S){var x=i.env().global;if(typeof x.atob!="undefined")return x.atob(S);if(typeof Buffer!="undefined")return new Buffer(S,"base64").toString();throw new Error("Unable to decode base64 in this environment. 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x.size=="number"?x.size:parseInt(x.size,10)}):[]}function Ai(S,x,k){var K=S[x];return K&&K.shape?Hi(K.shape):k}function qn(S,x,k){var K=S[x];return K?((K.list.f&&K.list.f.length?K.list.f:K.list.i)||[]).map(function(Se){return typeof Se=="number"?Se:parseInt(Se,10)}):k}function ri(S,x,k,K){K===void 0&&(K=!1);var Se=S[x];return Se&&Se.list&&Se.list.s?Se.list.s.map(function(we){return Ta(we,K)}):k}function pi(S,x,k){var K=S[x];return K&&K.list&&K.list.shape?K.list.shape.map(function(Se){return Hi(Se)}):k}function pa(S,x,k){var K=S[x];return K&&K.list&&K.list.b?K.list.b:k}var di=function(){function S(x,k,K){var Se=this;this.node=x,this.tensorMap=k,this.context=K,this.inputs=[],this.attrs={},this.inputs=x.inputNames.map(function(we){return Se.getInput(we)}),x.rawAttrs!=null&&(this.attrs=Object.keys(x.rawAttrs).reduce(function(we,Je){return we[Je]=Se.getAttr(Je),we},{}))}return S.prototype.getInput=function(x){return ge(x,this.tensorMap,this.context)},S.prototype.getAttr=function(x,k){var K=this.node.rawAttrs[x];if(K.tensor!=null)return ge(x,this.tensorMap,this.context);if(K.i!=null||K.f!=null)return xa(this.node.rawAttrs,x,k);if(K.s!=null)return on(this.node.rawAttrs,x,k);if(K.b!=null)return _n(this.node.rawAttrs,x,k);if(K.shape!=null)return Ai(this.node.rawAttrs,x,k);if(K.type!=null)return _a(this.node.rawAttrs,x,k);if(K.list!=null){if(K.list.i!=null||K.list.f!=null)return qn(this.node.rawAttrs,x,k);if(K.list.s!=null)return ri(this.node.rawAttrs,x,k);if(K.list.shape!=null)return pi(this.node.rawAttrs,x,k);if(K.list.b!=null)return pa(this.node.rawAttrs,x,k);if(K.list.type!=null)return Ri(this.node.rawAttrs,x,k)}return k},S}(),fi=function(S,x,k){switch(S.op){case"BiasAdd":case"AddV2":case"Add":return[i.add(w("a",S,x,k),w("b",S,x,k))];case"AddN":return[i.addN(w("tensors",S,x,k))];case"FloorMod":case"Mod":return[i.mod(w("a",S,x,k),w("b",S,x,k))];case"Mul":return[i.mul(w("a",S,x,k),w("b",S,x,k))];case"RealDiv":case"Div":return[i.div(w("a",S,x,k),w("b",S,x,k))];case"DivNoNan":return[i.divNoNan(w("a",S,x,k),w("b",S,x,k))];case"FloorDiv":return[i.floorDiv(w("a",S,x,k),w("b",S,x,k))];case"Sub":return[i.sub(w("a",S,x,k),w("b",S,x,k))];case"Minimum":return[i.minimum(w("a",S,x,k),w("b",S,x,k))];case"Maximum":return[i.maximum(w("a",S,x,k),w("b",S,x,k))];case"Pow":return[i.pow(w("a",S,x,k),w("b",S,x,k))];case"SquaredDifference":return[i.squaredDifference(w("a",S,x,k),w("b",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}},Va=function(S,x,k){switch(S.op){case"Abs":case"ComplexAbs":return[i.abs(w("x",S,x,k))];case"Acos":return[i.acos(w("x",S,x,k))];case"Acosh":return[i.acosh(w("x",S,x,k))];case"Asin":return[i.asin(w("x",S,x,k))];case"Asinh":return[i.asinh(w("x",S,x,k))];case"Atan":return[i.atan(w("x",S,x,k))];case"Atan2":return[i.atan2(w("x",S,x,k),w("y",S,x,k))];case"Atanh":return[i.atanh(w("x",S,x,k))];case"Ceil":return[i.ceil(w("x",S,x,k))];case"Complex":return[i.complex(w("real",S,x,k),w("imag",S,x,k))];case"Cos":return[i.cos(w("x",S,x,k))];case"Cosh":return[i.cosh(w("x",S,x,k))];case"Elu":return[i.elu(w("x",S,x,k))];case"Erf":return[i.erf(w("x",S,x,k))];case"Exp":return[i.exp(w("x",S,x,k))];case"Expm1":return[i.expm1(w("x",S,x,k))];case"Floor":return[i.floor(w("x",S,x,k))];case"Log":return[i.log(w("x",S,x,k))];case"Log1p":return[i.log1p(w("x",S,x,k))];case"Imag":return[i.imag(w("x",S,x,k))];case"Neg":return[i.neg(w("x",S,x,k))];case"Reciprocal":return[i.reciprocal(w("x",S,x,k))];case"Real":return[i.real(w("x",S,x,k))];case"Relu":return[i.relu(w("x",S,x,k))];case"Round":return[i.round(w("x",S,x,k))];case"Selu":return[i.selu(w("x",S,x,k))];case"Sigmoid":return[i.sigmoid(w("x",S,x,k))];case"Sin":return[i.sin(w("x",S,x,k))];case"Sign":return[i.sign(w("x",S,x,k))];case"Sinh":return[i.sinh(w("x",S,x,k))];case"Softplus":return[i.softplus(w("x",S,x,k))];case"Sqrt":return[i.sqrt(w("x",S,x,k))];case"Square":return[i.square(w("x",S,x,k))];case"Tanh":return[i.tanh(w("x",S,x,k))];case"Tan":return[i.tan(w("x",S,x,k))];case"Relu6":case"ClipByValue":return[i.clipByValue(w("x",S,x,k),w("clipValueMin",S,x,k),w("clipValueMax",S,x,k))];case"Rsqrt":return[i.rsqrt(ge(S.inputNames[0],x,k))];case"Prod":return[i.prod(w("x",S,x,k),w("axes",S,x,k))];case"LeakyRelu":return[i.leakyRelu(w("x",S,x,k),w("alpha",S,x,k))];case"Prelu":return[i.prelu(w("x",S,x,k),w("alpha",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}};function ln(S,x,k){k===void 0&&(k=""),i.util.assert(ni(S,x),function(){return k+(" Shapes "+S+" and "+x+" must match")})}function ni(S,x){if(S.length!==x.length)return!1;for(var k=0;k<S.length;k++)if(S[k]!==-1&&x[k]!==-1&&S[k]!==x[k])return!1;return!0}var gr=function(){function S(x,k,K,Se,we,Je,Be){this.name=x,this.dtype=k,this.maxSize=K,this.elementShape=Se,this.identicalElementShapes=we,this.dynamicSize=Je,this.clearAfterRead=Be,this.tensors=[],this.closed_=!1,this.idTensor=i.scalar(0),i.keep(this.idTensor)}return Object.defineProperty(S.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),S.prototype.clearAndClose=function(x){this.tensors.forEach(function(k){(x==null||!x.has(k.tensor.id))&&k.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()},S.prototype.size=function(){return this.tensors.length},S.prototype.read=function(x){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(x<0||x>=this.size())throw new Error("Tried to read from index "+x+", but array size is: "+this.size());var k=this.tensors[x];if(k.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+x+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(k.cleared=!0),k.read=!0,k.tensor},S.prototype.readMany=function(x){var k=this;return x.map(function(K){return k.read(K)})},S.prototype.write=function(x,k){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(x<0||!this.dynamicSize&&x>=this.maxSize)throw new Error("Tried to write to index "+x+", but array is not resizeable and size is: "+this.maxSize);var K=this.tensors[x]||{};if(k.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+x+`,
          because the value dtype is `+k.dtype+", but TensorArray dtype is "+this.dtype+".");if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=k.shape),ln(this.elementShape,k.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+x+"."),K.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+x+", because it has already been read.");if(K.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+x+", because it has already been written.");K.tensor=k,i.keep(k),K.written=!0,this.tensors[x]=K},S.prototype.writeMany=function(x,k){var K=this;if(x.length!==k.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,"+("because the index size: "+x.length+" is not the same as tensors size: "+k.length+"."));x.forEach(function(Se,we){return K.write(Se,k[we])})},S.prototype.gather=function(x,k){if(!!k&&k!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+k);if(x)x=x.slice(0,this.size());else{x=[];for(var K=0;K<this.size();K++)x.push(K)}if(x.length===0)return i.tensor([],[0].concat(this.elementShape));var Se=this.readMany(x);return ln(this.elementShape,Se[0].shape,"TensorArray shape mismatch: "),i.stack(Se,0)},S.prototype.concat=function(x){if(!!x&&x!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+x);if(this.size()===0)return i.tensor([],[0].concat(this.elementShape));for(var k=[],K=0;K<this.size();K++)k.push(K);var Se=this.readMany(k);return ln(this.elementShape,Se[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+Se[0].shape+")"),i.concat(Se,0)},S.prototype.scatter=function(x,k){if(k.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+k.dtype);if(x.length!==k.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+x.length+" vs. "+k.shape[0]);var K=Math.max.apply(Math,xe(x));if(!this.dynamicSize&&K>=this.maxSize)throw new Error("Max index must be < array size ("+K+"  vs. "+this.maxSize+")");this.writeMany(x,i.unstack(k,0))},S.prototype.split=function(x,k){var K=this;if(k.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+k.dtype);var Se=0,we=x.map(function(zt){return Se+=zt,Se});if(Se!==k.shape[0])throw new Error(`Expected sum of lengths to be equal to
          tensor.shape[0], but sum of lengths is
        `+Se+", and tensor's shape is: "+k.shape);if(!this.dynamicSize&&x.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+x.length+"), and the TensorArray is not marked as dynamically resizeable");var Je=Se===0?0:k.size/Se,Be=[];i.tidy(function(){k=i.reshape(k,[1,Se,Je]);for(var zt=0;zt<x.length;++zt){var Wt=zt===0?0:we[zt-1],Gt=[0,Wt,0],Qt=[1,x[zt],Je];Be[zt]=i.reshape(i.slice(k,Gt,Qt),K.elementShape)}return Be});for(var vt=[],ft=0;ft<x.length;ft++)vt[ft]=ft;this.writeMany(vt,Be)},S}(),Di=function(){function S(x,k,K,Se){Se===void 0&&(Se=-1),this.tensors=x,this.elementShape=k,this.elementDtype=K,x!=null&&x.forEach(function(we){if(K!==we.dtype)throw new Error("Invalid data types; op elements "+K+", but list elements "+we.dtype);ln(k,we.shape,"TensorList shape mismatch: "),i.keep(we)}),this.idTensor=i.scalar(0),this.maxNumElements=Se,i.keep(this.idTensor)}return Object.defineProperty(S.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),S.prototype.copy=function(){return new S(xe(this.tensors),this.elementShape,this.elementDtype)},S.prototype.clearAndClose=function(x){this.tensors.forEach(function(k){(x==null||!x.has(k.id))&&k.dispose()}),this.tensors.length=0,this.idTensor.dispose()},S.prototype.size=function(){return this.tensors.length},S.prototype.stack=function(x,k,K){var Se=this;if(K===void 0&&(K=-1),k!==this.elementDtype)throw new Error("Invalid data types; op elements "+k+", but list elements "+this.elementDtype);if(K!==-1&&this.tensors.length!==K)throw new Error("Operation expected a list with "+K+" elements but got a list with "+this.tensors.length+" elements.");return ln(x,this.elementShape,"TensorList shape mismatch: "),i.tidy(function(){var we=Se.tensors.map(function(Je){return i.reshape(Je,x)});return i.stack(we,0)})},S.prototype.popBack=function(x,k){if(k!==this.elementDtype)throw new Error("Invalid data types; op elements "+k+", but list elements "+this.elementDtype);if(this.size()===0)throw new Error("Trying to pop from an empty list.");var K=this.tensors.pop();return ln(K.shape,x,"TensorList shape mismatch: "),i.reshape(K,x)},S.prototype.pushBack=function(x){if(x.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+x.dtype+", but list elements "+this.elementDtype);if(ln(x.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");i.keep(x),this.tensors.push(x)},S.prototype.resize=function(x){if(x<0)throw new Error("TensorListResize expects size to be non-negative. Got: "+x);if(this.maxNumElements!==-1&&x>this.maxNumElements)throw new Error("TensorListResize input size "+x+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=x},S.prototype.getItem=function(x,k,K){if(K!==this.elementDtype)throw new Error("Invalid data types; op elements "+K+", but list elements "+this.elementDtype);if(x<0||x>this.tensors.length)throw new Error("Trying to access element "+x+" in a list with "+this.tensors.length+" elements.");if(this.tensors[x]==null)throw new Error("element at index "+x+" is null.");return ln(this.tensors[x].shape,k,"TensorList shape mismatch: "),this.tensors[x]},S.prototype.setItem=function(x,k){if(k.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+k.dtype+", but list elements "+this.elementDtype);if(x<0||this.maxNumElements!==-1&&x>=this.maxNumElements)throw new Error("Trying to set element "+x+" in a list with max "+this.maxNumElements+" elements.");ln(this.elementShape,k.shape,"TensorList shape mismatch: "),i.keep(k),this.tensors[x]=k},S.prototype.gather=function(x,k,K){var Se=this;if(k!==this.elementDtype)throw new Error("Invalid data types; op elements "+k+", but list elements "+this.elementDtype);return ln(this.elementShape,K,"TensorList shape mismatch: "),x=x.slice(0,this.size()),x.length===0?i.tensor([],[0].concat(this.elementShape)):i.tidy(function(){var we=x.map(function(Je){return i.reshape(Se.tensors[Je],K)});return i.stack(we,0)})},S.prototype.concat=function(x,k){var K=this;if(!!x&&x!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+x);return ln(this.elementShape,k,"TensorList shape mismatch: "),this.size()===0?i.tensor([],[0].concat(this.elementShape)):i.tidy(function(){var Se=K.tensors.map(function(we){return i.reshape(we,k)});return i.concat(Se,0)})},S}();function bi(S,x,k){var K=S.dtype;if(S.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+S.shape);if(S.dtype!==k)throw new Error("Invalid data types; op elements "+S.dtype+", but list elements "+k);var Se=S.shape.slice(1);ln(Se,x,"TensorList shape mismatch: ");var we=i.unstack(S);return new Di(we,x,K)}function ro(S,x,k){return new Di([],S,x,k)}function Zn(S,x,k,K){if(x.length!==S.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+x.length+" vs. "+S.shape[0]);var Se=Math.max.apply(Math,xe(x));if(K!=null&&K!==-1&&Se>=K)throw new Error("Max index must be < array size ("+Se+"  vs. "+K+")");var we=new Di([],k,S.dtype,K),Je=i.unstack(S,0);return x.forEach(function(Be,vt){we.setItem(Be,Je[vt])}),we}function Gi(S,x,k){var K=0,Se=x.map(function(ft){return K+=ft,K});if(K!==S.shape[0])throw new Error(`Expected sum of lengths to be equal to
          tensor.shape[0], but sum of lengths is
        `+K+", and tensor's shape is: "+S.shape);for(var we=K===0?0:S.size/K,Je=i.tidy(function(){var ft=[];S=i.reshape(S,[1,K,we]);for(var zt=0;zt<x.length;++zt){var Wt=zt===0?0:Se[zt-1],Gt=[0,Wt,0],Qt=[1,x[zt],we];ft[zt]=i.reshape(i.slice(S,Gt,Qt),k)}return S.dispose(),ft}),Be=new Di([],k,S.dtype,x.length),vt=0;vt<Je.length;vt++)Be.setItem(vt,Je[vt]);return Be}var Fi=void 0,ji=function(S,x,k){return O(Fi,void 0,void 0,function(){var K,Se,we,Je,Be,vt,ft,zt,Be,Wt,Gt,vt,Qt,wr,Ar,Ar,Yt,xr,Yt,Sn,Yt,Yt,Yt,pn,zn,Fr,wa,In,ur,$r,Ra,mi,Ga,ja,ai,zi,An,ba,qi,yi,ii,qr,Io,nn,qa,La,Ki,oi,Pi,no,mo,Ka,ao,Ko,No,Co,io,ia,Ga,ja,Pr,ia,An,Fr,oa,Pr,nn,qa,Fr,Xa,Pr,Fr,Qn,Xa,Pr,qi,yi,Fr,Qn,Pr,ia,Fr,Qn,Xa,Pr,oo,Fr,Qn,Pr,Ki,Pr,Pi,Fr,ia,ja,Pr,ia,Fr,oa,Pr,mo,Fr,Ka,Pr;return H(this,function(ka){switch(ka.label){case 0:K=S.op;switch(K){case"If":return[3,1];case"StatelessIf":return[3,1];case"While":return[3,3];case"StatelessWhile":return[3,3];case"LoopCond":return[3,9];case"Switch":return[3,10];case"Merge":return[3,12];case"Enter":return[3,13];case"Exit":return[3,14];case"NextIteration":return[3,15];case"TensorArrayV3":return[3,16];case"TensorArrayWriteV3":return[3,17];case"TensorArrayReadV3":return[3,18];case"TensorArrayGatherV3":return[3,19];case"TensorArrayScatterV3":return[3,20];case"TensorArrayConcatV3":return[3,21];case"TensorArraySplitV3":return[3,22];case"TensorArraySizeV3":return[3,23];case"TensorArrayCloseV3":return[3,24];case"TensorListSetItem":return[3,25];case"TensorListGetItem":return[3,26];case"TensorListScatterV2":return[3,27];case"TensorListScatter":return[3,27];case"TensorListReserve":return[3,28];case"TensorListGather":return[3,29];case"TensorListStack":return[3,30];case"TensorListFromTensor":return[3,31];case"TensorListConcat":return[3,32];case"TensorListPushBack":return[3,33];case"TensorListPopBack":return[3,34];case"TensorListSplit":return[3,35]}return[3,36];case 1:return Se=w("thenBranch",S,x,k),we=w("elseBranch",S,x,k),Je=w("cond",S,x,k),Be=w("args",S,x,k),[4,Je.data()];case 2:return vt=ka.sent(),vt[0]?[2,k.functionMap[Se].executeFunctionAsync(Be,k.tensorArrayMap,k.tensorListMap)]:[2,k.functionMap[we].executeFunctionAsync(Be,k.tensorArrayMap,k.tensorListMap)];case 3:return ft=w("body",S,x,k),zt=w("cond",S,x,k),Be=w("args",S,x,k),[4,k.functionMap[zt].executeFunctionAsync(Be,k.tensorArrayMap,k.tensorListMap)];case 4:return Wt=ka.sent(),Gt=Be.map(function(vn){return vn.id}),[4,Wt[0].data()];case 5:vt=ka.sent(),Wt.forEach(function(vn){!vn.kept&&Gt.indexOf(vn.id)===-1&&vn.dispose()}),Qt=Be,wr=function(){var vn,Bi,yo;return H(this,function(vo){switch(vo.label){case 0:return vn=Qt,[4,k.functionMap[ft].executeFunctionAsync(Qt,k.tensorArrayMap,k.tensorListMap)];case 1:return Qt=vo.sent(),Bi=Qt.map(function(Aa){return Aa.id}),vn.forEach(function(Aa){!Aa.kept&&Gt.indexOf(Aa.id)===-1&&Bi.indexOf(Aa.id)===-1&&Aa.dispose()}),[4,k.functionMap[zt].executeFunctionAsync(Qt,k.tensorArrayMap,k.tensorListMap)];case 2:return yo=vo.sent(),[4,yo[0].data()];case 3:return vt=vo.sent(),yo.forEach(function(Aa){!Aa.kept&&Gt.indexOf(Aa.id)===-1&&Bi.indexOf(Aa.id)===-1&&Aa.dispose()}),[2]}})},ka.label=6;case 6:return vt[0]?[5,wr()]:[3,8];case 7:return ka.sent(),[3,6];case 8:return[2,Qt];case 9:return Ar=w("pred",S,x,k),[2,[Tt(Ar)]];case 10:return Ar=w("pred",S,x,k),Yt=w("data",S,x,k),Yt.kept||(Yt=Tt(Yt)),[4,Ar.data()];case 11:return[2,ka.sent()[0]?[void 0,Yt]:[Yt,void 0]];case 12:return xr=S.inputNames.find(function(vn){return ge(vn,x,k)!==void 0}),xr?(Yt=ge(xr,x,k),[2,[Tt(Yt)]]):[2,void 0];case 13:return Sn=w("frameName",S,x,k),Yt=w("tensor",S,x,k),k.enterFrame(Sn),[2,[Tt(Yt)]];case 14:return Yt=w("tensor",S,x,k),k.exitFrame(),[2,[Tt(Yt)]];case 15:return Yt=w("tensor",S,x,k),k.nextIteration(),[2,[Tt(Yt)]];case 16:return pn=w("size",S,x,k),zn=w("dtype",S,x,k),Fr=w("elementShape",S,x,k),wa=w("dynamicSize",S,x,k),In=w("clearAfterRead",S,x,k),ur=w("identicalElementShapes",S,x,k),$r=w("name",S,x,k),Ra=new gr($r,zn,pn,Fr,ur,wa,In),k.addTensorArray(Ra),[2,[Ra.idTensor,i.scalar(1)]];case 17:return mi=w("tensorArrayId",S,x,k),Ga=w("index",S,x,k),ja=w("tensor",S,x,k),ai=k.getTensorArray(mi.id),ai.write(Ga,ja),[2,[ai.idTensor]];case 18:return zi=w("tensorArrayId",S,x,k),An=w("index",S,x,k),ba=k.getTensorArray(zi.id),[2,[ba.read(An)]];case 19:return qi=w("tensorArrayId",S,x,k),yi=w("indices",S,x,k),ii=w("dtype",S,x,k),qr=k.getTensorArray(qi.id),[2,[qr.gather(yi,ii)]];case 20:return Io=w("tensorArrayId",S,x,k),nn=w("indices",S,x,k),qa=w("tensor",S,x,k),La=k.getTensorArray(Io.id),La.scatter(nn,qa),[2,[La.idTensor]];case 21:return Ki=w("tensorArrayId",S,x,k),oi=k.getTensorArray(Ki.id),Pi=w("dtype",S,x,k),[2,[oi.concat(Pi)]];case 22:return no=w("tensorArrayId",S,x,k),mo=w("tensor",S,x,k),Ka=w("lengths",S,x,k),ao=k.getTensorArray(no.id),ao.split(Ka,mo),[2,[ao.idTensor]];case 23:return Ko=w("tensorArrayId",S,x,k),No=k.getTensorArray(Ko.id),[2,[i.scalar(No.size(),"int32")]];case 24:return Co=w("tensorArrayId",S,x,k),io=k.getTensorArray(Co.id),io.clearAndClose(),[2,[io.idTensor]];case 25:return ia=w("tensorListId",S,x,k),Ga=w("index",S,x,k),ja=w("tensor",S,x,k),Pr=k.getTensorList(ia.id),Pr.setItem(Ga,ja),[2,[Pr.idTensor]];case 26:return ia=w("tensorListId",S,x,k),An=w("index",S,x,k),Fr=w("elementShape",S,x,k),oa=w("elementDType",S,x,k),Pr=k.getTensorList(ia.id),[2,[Pr.getItem(An,Fr,oa)]];case 27:return nn=w("indices",S,x,k),qa=w("tensor",S,x,k),Fr=w("elementShape",S,x,k),Xa=w("numElements",S,x,k),Pr=Zn(qa,nn,Fr,Xa),k.addTensorList(Pr),[2,[Pr.idTensor]];case 28:return Fr=w("elementShape",S,x,k),Qn=w("elementDType",S,x,k),Xa=w("numElements",S,x,k),Pr=ro(Fr,Qn,Xa),k.addTensorList(Pr),[2,[Pr.idTensor]];case 29:return qi=w("tensorListId",S,x,k),yi=w("indices",S,x,k),Fr=w("elementShape",S,x,k),Qn=w("elementDType",S,x,k),Pr=k.getTensorList(qi.id),[2,[Pr.gather(yi,Qn,Fr)]];case 30:return ia=w("tensorListId",S,x,k),Fr=w("elementShape",S,x,k),Qn=w("elementDType",S,x,k),Xa=w("numElements",S,x,k),Pr=k.getTensorList(ia.id),[2,[Pr.stack(Fr,Qn,Xa)]];case 31:return oo=w("tensor",S,x,k),Fr=w("elementShape",S,x,k),Qn=w("elementDType",S,x,k),Pr=bi(oo,Fr,Qn),k.addTensorList(Pr),[2,[Pr.idTensor]];case 32:return Ki=w("tensorListId",S,x,k),Pr=k.getTensorList(Ki.id),Pi=w("dtype",S,x,k),Fr=w("elementShape",S,x,k),[2,[Pr.concat(Pi,Fr)]];case 33:return ia=w("tensorListId",S,x,k),ja=w("tensor",S,x,k),Pr=k.getTensorList(ia.id),Pr.pushBack(ja),[2,[Pr.idTensor]];case 34:return ia=w("tensorListId",S,x,k),Fr=w("elementShape",S,x,k),oa=w("elementDType",S,x,k),Pr=k.getTensorList(ia.id),[2,[Pr.popBack(Fr,oa)]];case 35:return mo=w("tensor",S,x,k),Fr=w("elementShape",S,x,k),Ka=w("lengths",S,x,k),Pr=Gi(mo,Ka,Fr),k.addTensorList(Pr),[2,[Pr.idTensor]];case 36:throw TypeError("Node type "+S.op+" is not implemented")}})})};function Oi(S,x,k){var K=se(w("fusedOps",S,x,k),2),Se=K[0],we=K[1],Je=Se==="biasadd",Be=we==="prelu",vt=Se==="fusedbatchnorm",ft=w("numArgs",S,x,k);if(Je){if(Be&&ft!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!Be&&ft!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(vt)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var zt=w("strides",S,x,k),Wt=nr(S,x,k),Gt=w("dataFormat",S,x,k).toUpperCase(),Qt=w("dilations",S,x,k),wr=se(w("args",S,x,k),2),Ar=wr[0],Yt=wr[1];return{stride:zt,pad:Wt,dataFormat:Gt,dilations:Qt,biasArg:Ar,preluArg:Yt,activationFunc:we}}var da=function(S,x,k){switch(S.op){case"Conv1D":{var K=w("stride",S,x,k),Se=w("pad",S,x,k),we=w("dataFormat",S,x,k).toUpperCase(),Je=w("dilation",S,x,k);return[i.conv1d(w("x",S,x,k),w("filter",S,x,k),K,Se,we,Je)]}case"Conv2D":{var K=w("strides",S,x,k),Se=nr(S,x,k),we=w("dataFormat",S,x,k).toUpperCase(),Be=w("dilations",S,x,k);return[i.conv2d(w("x",S,x,k),w("filter",S,x,k),[K[1],K[2]],Se,we,[Be[1],Be[2]])]}case"_FusedConv2D":{var vt=Oi(S,x,k),K=vt.stride,Se=vt.pad,we=vt.dataFormat,Be=vt.dilations,ft=vt.biasArg,zt=vt.preluArg,Wt=vt.activationFunc;return[i.fused.conv2d({x:w("x",S,x,k),filter:w("filter",S,x,k),strides:[K[1],K[2]],pad:Se,dataFormat:we,dilations:[Be[1],Be[2]],bias:ft,activation:Wt,preluActivationWeights:zt})]}case"FusedDepthwiseConv2dNative":{var Gt=Oi(S,x,k),K=Gt.stride,Se=Gt.pad,we=Gt.dataFormat,Be=Gt.dilations,ft=Gt.biasArg,zt=Gt.preluArg,Wt=Gt.activationFunc;return[i.fused.depthwiseConv2d({x:w("x",S,x,k),filter:w("filter",S,x,k),strides:[K[1],K[2]],pad:Se,dataFormat:we,dilations:[Be[1],Be[2]],bias:ft,activation:Wt,preluActivationWeights:zt})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var Qt=w("outputShape",S,x,k),K=w("strides",S,x,k),Se=nr(S,x,k);return[i.conv2dTranspose(w("x",S,x,k),w("filter",S,x,k),Qt,[K[1],K[2]],Se)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var K=w("strides",S,x,k),Se=nr(S,x,k),Be=w("dilations",S,x,k),we=w("dataFormat",S,x,k).toUpperCase();return[i.depthwiseConv2d(w("input",S,x,k),w("filter",S,x,k),[K[1],K[2]],Se,we,[Be[1],Be[2]])]}case"Conv3D":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),we=w("dataFormat",S,x,k).toUpperCase(),Be=w("dilations",S,x,k);return[i.conv3d(w("x",S,x,k),w("filter",S,x,k),[K[1],K[2],K[3]],Se,we,[Be[1],Be[2],Be[3]])]}case"AvgPool":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),wr=w("kernelSize",S,x,k);return[i.avgPool(w("x",S,x,k),[wr[1],wr[2]],[K[1],K[2]],Se)]}case"MaxPool":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),wr=w("kernelSize",S,x,k);return[i.maxPool(w("x",S,x,k),[wr[1],wr[2]],[K[1],K[2]],Se)]}case"MaxPoolWithArgmax":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),wr=w("kernelSize",S,x,k),Ar=w("includeBatchInIndex",S,x,k),Yt=i.maxPoolWithArgmax(w("x",S,x,k),[wr[1],wr[2]],[K[1],K[2]],Se,Ar),xr=Yt.result,Sn=Yt.indexes;return[xr,Sn]}case"AvgPool3D":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),wr=w("kernelSize",S,x,k);return[i.avgPool3d(w("x",S,x,k),[wr[1],wr[2],wr[3]],[K[1],K[2],K[3]],Se)]}case"MaxPool3D":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),wr=w("kernelSize",S,x,k);return[i.maxPool3d(w("x",S,x,k),[wr[1],wr[2],wr[3]],[K[1],K[2],K[3]],Se)]}case"Dilation2D":{var pn=w("strides",S,x,k),Se=w("pad",S,x,k),Be=w("dilations",S,x,k),zn=pn[1],Fr=pn[2],wa=Be[1],In=Be[2];return[i.dilation2d(w("x",S,x,k),w("filter",S,x,k),[zn,Fr],Se,[wa,In],"NHWC")]}default:throw TypeError("Node type "+S.op+" is not implemented")}},Mi=function(S,x,k){switch(S.op){case"Fill":{var K=w("shape",S,x,k),Se=w("dtype",S,x,k),we=w("value",S,x,k);return[i.fill(K,we,Se)]}case"LinSpace":{var Je=w("start",S,x,k),Be=w("stop",S,x,k),vt=w("num",S,x,k);return[i.linspace(Je,Be,vt)]}case"Multinomial":{var ft=w("logits",S,x,k),zt=w("numSamples",S,x,k),Wt=w("seed",S,x,k);return[i.multinomial(ft,zt,Wt)]}case"OneHot":{var Gt=w("indices",S,x,k),Qt=w("depth",S,x,k),wr=w("onValue",S,x,k),Ar=w("offValue",S,x,k);return[i.oneHot(Gt,Qt,wr,Ar)]}case"Ones":return[i.ones(w("shape",S,x,k),w("dtype",S,x,k))];case"OnesLike":return[i.onesLike(w("x",S,x,k))];case"RandomUniform":return[i.randomUniform(w("shape",S,x,k),w("minval",S,x,k),w("maxval",S,x,k),w("dtype",S,x,k))];case"Range":{var Je=w("start",S,x,k),Yt=w("stop",S,x,k),xr=w("step",S,x,k);return[i.range(Je,Yt,xr,w("dtype",S,x,k))]}case"TruncatedNormal":{var K=w("shape",S,x,k),Sn=w("mean",S,x,k),pn=w("stdDev",S,x,k),Wt=w("seed",S,x,k);return[i.truncatedNormal(K,Sn,pn,w("dtype",S,x,k),Wt)]}case"Zeros":return[i.zeros(w("shape",S,x,k),w("dtype",S,x,k))];case"ZerosLike":return[i.zerosLike(w("x",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}},pe=void 0;function X(S,x,k){var K=w("boxes",S,x,k),Se=w("scores",S,x,k),we=w("maxOutputSize",S,x,k),Je=w("iouThreshold",S,x,k),Be=w("scoreThreshold",S,x,k),vt=w("softNmsSigma",S,x,k);return{boxes:K,scores:Se,maxOutputSize:we,iouThreshold:Je,scoreThreshold:Be,softNmsSigma:vt}}var j=function(S,x,k){return O(pe,void 0,void 0,function(){var K,Se,we,Je,Be,vt,ft,zt,Wt,Gt,we,Je,Be,vt,ft,Qt,Wt,wr,we,Je,Be,vt,ft,Ar,Wt;return H(this,function(Yt){switch(Yt.label){case 0:K=S.op;switch(K){case"NonMaxSuppressionV5":return[3,1];case"NonMaxSuppressionV4":return[3,3];case"NonMaxSuppressionV3":return[3,5];case"NonMaxSuppressionV2":return[3,5];case"Where":return[3,7];case"ListDiff":return[3,9]}return[3,10];case 1:return Se=X(S,x,k),we=Se.boxes,Je=Se.scores,Be=Se.maxOutputSize,vt=Se.iouThreshold,ft=Se.scoreThreshold,zt=Se.softNmsSigma,[4,i.image.nonMaxSuppressionWithScoreAsync(we,Je,Be,vt,ft,zt)];case 2:return Wt=Yt.sent(),[2,[Wt.selectedIndices,Wt.selectedScores]];case 3:return Gt=X(S,x,k),we=Gt.boxes,Je=Gt.scores,Be=Gt.maxOutputSize,vt=Gt.iouThreshold,ft=Gt.scoreThreshold,Qt=w("padToMaxOutputSize",S,x,k),[4,i.image.nonMaxSuppressionPaddedAsync(we,Je,Be,vt,ft,Qt)];case 4:return Wt=Yt.sent(),[2,[Wt.selectedIndices,Wt.validOutputs]];case 5:return wr=X(S,x,k),we=wr.boxes,Je=wr.scores,Be=wr.maxOutputSize,vt=wr.iouThreshold,ft=wr.scoreThreshold,[4,i.image.nonMaxSuppressionAsync(we,Je,Be,vt,ft)];case 6:return[2,[Yt.sent()]];case 7:return Ar=i.cast(w("condition",S,x,k),"bool"),[4,i.whereAsync(Ar)];case 8:return Wt=[Yt.sent()],Ar.dispose(),[2,Wt];case 9:return[2,i.setdiff1dAsync(w("x",S,x,k),w("y",S,x,k))];case 10:throw TypeError("Node type "+S.op+" is not implemented")}})})},re=function(S,x,k){switch(S.op){case"TopKV2":{var K=w("x",S,x,k),Se=w("k",S,x,k),we=w("sorted",S,x,k),Je=i.topk(K,Se,we);return[Je.values,Je.indices]}case"Unique":{var K=w("x",S,x,k),Je=i.unique(K);return[Je.values,Je.indices]}case"UniqueV2":{var K=w("x",S,x,k),Be=w("axis",S,x,k),Je=i.unique(K,Be);return[Je.values,Je.indices]}default:throw TypeError("Node type "+S.op+" is not implemented")}},te=function(S,x,k){switch(S.op){case"Const":return x[S.name];case"PlaceholderWithDefault":var K=w("default",S,x,k);return[ge(S.name,x,k)||K];case"Placeholder":return[ge(S.name,x,k)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var Se=w("x",S,x,k);return[Tt(Se)]}case"IdentityN":return w("x",S,x,k).map(function(Wt){return Tt(Wt)});case"Snapshot":var we=w("x",S,x,k);return[Tt(we)];case"Shape":return[i.tensor1d(w("x",S,x,k).shape,"int32")];case"ShapeN":return w("x",S,x,k).map(function(Wt){return i.tensor1d(Wt.shape)});case"Size":return[i.scalar(w("x",S,x,k).size,"int32")];case"Rank":return[i.scalar(w("x",S,x,k).rank,"int32")];case"NoOp":return[i.scalar(1)];case"Print":var Je=w("x",S,x,k),Be=w("data",S,x,k),vt=w("message",S,x,k),ft=w("summarize",S,x,k);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(vt);for(var zt=0;zt<Be.length;zt++)console.log(Array.prototype.slice.call(Be[zt].dataSync()).slice(0,ft));return[Je];default:throw TypeError("Node type "+S.op+" is not implemented")}},Ue=function(){function S(x,k){this.keyDType=x,this.valueDType=k,this.handle=i.scalar(0),this.tensorMap=new Map,i.keep(this.handle)}return Object.defineProperty(S.prototype,"id",{get:function(){return this.handle.id},enumerable:!0,configurable:!0}),S.prototype.clearAndClose=function(){this.tensorMap.forEach(function(x){return x.dispose()}),this.tensorMap.clear(),this.handle.dispose()},S.prototype.size=function(){return this.tensorMap.size},S.prototype.import=function(x,k){return O(this,void 0,void 0,function(){var K,Se=this;return H(this,function(we){switch(we.label){case 0:return this.checkKeyAndValueTensor(x,k),[4,x.data()];case 1:return K=we.sent(),this.tensorMap.forEach(function(Je){return Je.dispose()}),this.tensorMap.clear(),[2,i.tidy(function(){var Je=i.unstack(k),Be=K.length,vt=Je.length;i.util.assert(Be===vt,function(){return"The number of elements doesn't match, keys has "+(Be+" elements, the values has "+vt+" ")+"elements."});for(var ft=0;ft<Be;ft++){var zt=K[ft],Wt=Je[ft];i.keep(Wt),Se.tensorMap.set(zt,Wt)}return Se.handle})]}})})},S.prototype.find=function(x,k){return O(this,void 0,void 0,function(){var K,Se=this;return H(this,function(we){switch(we.label){case 0:return this.checkKeyAndValueTensor(x,k),[4,x.data()];case 1:return K=we.sent(),[2,i.tidy(function(){for(var Je=[],Be=0;Be<K.length;Be++){var vt=K[Be],ft=Se.findWithDefault(vt,k);Je.push(ft)}return i.stack(Je)})]}})})},S.prototype.findWithDefault=function(x,k){var K=this.tensorMap.get(x);return K??k},S.prototype.checkKeyAndValueTensor=function(x,k){if(x.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+(""+x.dtype));if(k.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+(""+k.dtype))},S}(),kt=void 0,$e=function(S,x,k,K){return O(kt,void 0,void 0,function(){var Se,we,Je,Be,vt,ft,zt,Be,vt,ft,Wt,Be;return H(this,function(Gt){switch(Gt.label){case 0:Se=S.op;switch(Se){case"HashTable":return[3,1];case"HashTableV2":return[3,1];case"LookupTableImport":return[3,2];case"LookupTableImportV2":return[3,2];case"LookupTableFind":return[3,4];case"LookupTableFindV2":return[3,4]}return[3,6];case 1:return we=w("keyDType",S,x,k),Je=w("valueDType",S,x,k),Be=new Ue(we,Je),K.addHashTable(S.name,Be),[2,[Be.handle]];case 2:return vt=w("tableHandle",S,x,k,K),ft=w("keys",S,x,k),zt=w("values",S,x,k),Be=K.getHashTableById(vt.id),[4,Be.import(ft,zt)];case 3:return[2,[Gt.sent()]];case 4:return vt=w("tableHandle",S,x,k,K),ft=w("keys",S,x,k),Wt=w("defaultValue",S,x,k),Be=K.getHashTableById(vt.id),[4,Be.find(ft,Wt)];case 5:return[2,[Gt.sent()]];case 6:throw TypeError("Node type "+S.op+" is not implemented")}})})},Le=function(S,x,k){switch(S.op){case"ResizeBilinear":{var K=w("images",S,x,k),Se=w("size",S,x,k),we=w("alignCorners",S,x,k);return[i.image.resizeBilinear(K,[Se[0],Se[1]],we)]}case"ResizeNearestNeighbor":{var K=w("images",S,x,k),Se=w("size",S,x,k),we=w("alignCorners",S,x,k);return[i.image.resizeNearestNeighbor(K,[Se[0],Se[1]],we)]}case"CropAndResize":{var Je=w("image",S,x,k),Be=w("boxes",S,x,k),vt=w("boxInd",S,x,k),ft=w("cropSize",S,x,k),zt=w("method",S,x,k),Wt=w("extrapolationValue",S,x,k);return[i.image.cropAndResize(Je,Be,vt,ft,zt,Wt)]}default:throw TypeError("Node type "+S.op+" is not implemented")}},Ye=function(S,x,k){switch(S.op){case"Equal":return[i.equal(w("a",S,x,k),w("b",S,x,k))];case"NotEqual":return[i.notEqual(w("a",S,x,k),w("b",S,x,k))];case"Greater":return[i.greater(w("a",S,x,k),w("b",S,x,k))];case"GreaterEqual":return[i.greaterEqual(w("a",S,x,k),w("b",S,x,k))];case"Less":return[i.less(w("a",S,x,k),w("b",S,x,k))];case"LessEqual":return[i.lessEqual(w("a",S,x,k),w("b",S,x,k))];case"LogicalAnd":return[i.logicalAnd(w("a",S,x,k),w("b",S,x,k))];case"LogicalNot":return[i.logicalNot(w("a",S,x,k))];case"LogicalOr":return[i.logicalOr(w("a",S,x,k),w("b",S,x,k))];case"Select":case"SelectV2":return[i.where(w("condition",S,x,k),w("a",S,x,k),w("b",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}},Ft=function(S,x,k){switch(S.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[i.matMul(w("a",S,x,k),w("b",S,x,k),w("transposeA",S,x,k),w("transposeB",S,x,k))];case"Transpose":return[i.transpose(w("x",S,x,k),w("perm",S,x,k))];case"_FusedMatMul":var K=se(w("fusedOps",S,x,k),2),Se=K[0],we=K[1],Je=Se==="biasadd",Be=we==="prelu",vt=w("numArgs",S,x,k);if(Je){if(Be&&vt!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!Be&&vt!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var ft=se(w("args",S,x,k),2),zt=ft[0],Wt=ft[1];return[i.fused.matMul({a:w("a",S,x,k),b:w("b",S,x,k),transposeA:w("transposeA",S,x,k),transposeB:w("transposeB",S,x,k),bias:zt,activation:we,preluActivationWeights:Wt})];default:throw TypeError("Node type "+S.op+" is not implemented")}},St=function(S,x,k){switch(S.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[i.batchNorm(w("x",S,x,k),w("mean",S,x,k),w("variance",S,x,k),w("offset",S,x,k),w("scale",S,x,k),w("epsilon",S,x,k))];case"FusedBatchNormV3":return[i.batchNorm(w("x",S,x,k),w("mean",S,x,k),w("variance",S,x,k),w("offset",S,x,k),w("scale",S,x,k),w("epsilon",S,x,k))];case"LRN":return[i.localResponseNormalization(w("x",S,x,k),w("radius",S,x,k),w("bias",S,x,k),w("alpha",S,x,k),w("beta",S,x,k))];case"Softmax":return[i.softmax(w("x",S,x,k))];case"LogSoftmax":return[i.logSoftmax(w("x",S,x,k))];case"SparseToDense":return[i.sparseToDense(w("sparseIndices",S,x,k),w("outputShape",S,x,k),w("sparseValues",S,x,k),w("defaultValue",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}},Mt=function(S,x,k){switch(S.op){case"Max":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.max(w("x",S,x,k),K,Se)]}case"Mean":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.mean(w("x",S,x,k),K,Se)]}case"Min":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.min(w("x",S,x,k),K,Se)]}case"Sum":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.sum(w("x",S,x,k),K,Se)]}case"All":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.all(w("x",S,x,k),K,Se)]}case"Any":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.any(w("x",S,x,k),K,Se)]}case"ArgMax":{var K=w("axis",S,x,k);return[i.argMax(w("x",S,x,k),K)]}case"ArgMin":{var K=w("axis",S,x,k);return[i.argMin(w("x",S,x,k),K)]}case"Prod":{var K=w("axis",S,x,k),Se=w("keepDims",S,x,k);return[i.prod(w("x",S,x,k),K,Se)]}case"Cumsum":{var K=w("axis",S,x,k),we=w("exclusive",S,x,k),Je=w("reverse",S,x,k);return[i.cumsum(w("x",S,x,k),K,we,Je)]}default:throw TypeError("Node type "+S.op+" is not implemented")}},dr=function(S,x,k){switch(S.op){case"ConcatV2":case"Concat":{var K=w("n",S,x,k),Se=w("axis",S,x,k),we=w("tensors",S,x,k);return we=we.slice(0,K),[i.concat(we,Se)]}case"GatherV2":case"Gather":{var Se=w("axis",S,x,k),Je=w("x",S,x,k),Be=w("indices",S,x,k);return[i.gather(Je,i.cast(Be,"int32"),Se)]}case"ReverseV2":case"Reverse":{var Se=w("axis",S,x,k),Je=w("x",S,x,k);return[i.reverse(Je,Se)]}case"Slice":{var vt=w("begin",S,x,k),ft=w("size",S,x,k);return[i.slice(w("x",S,x,k),vt,ft)]}case"StridedSlice":{var vt=w("begin",S,x,k),zt=w("end",S,x,k),Wt=w("strides",S,x,k),Gt=w("beginMask",S,x,k),Qt=w("endMask",S,x,k),wr=w("ellipsisMask",S,x,k),Ar=w("newAxisMask",S,x,k),Yt=w("shrinkAxisMask",S,x,k),xr=w("x",S,x,k);return[i.stridedSlice(xr,vt,zt,Wt,Gt,Qt,wr,Ar,Yt)]}case"Pack":return i.tidy(function(){var $r=w("axis",S,x,k),Ra=w("tensors",S,x,k),mi=Ra[0].shape,Ga=i.squeeze(Ra[0]).shape,ja=Ra.map(function(ai){var zi=i.util.arraysEqual(ai.shape,mi);if(!zi&&!i.util.arraysEqual(i.squeeze(ai).shape,Ga))throw new Error("the input tensors shape does not match");return zi?ai:i.reshape(ai,mi)});return[i.stack(ja,$r)]});case"Unpack":{var Se=w("axis",S,x,k),xr=w("tensor",S,x,k);return i.unstack(xr,Se)}case"Tile":{var Sn=w("reps",S,x,k);return[i.tile(w("x",S,x,k),Sn)]}case"Split":case"SplitV":{var Se=w("axis",S,x,k),pn=w("numOrSizeSplits",S,x,k),xr=w("x",S,x,k);return i.split(xr,pn,Se)}case"ScatterNd":{var Be=w("indices",S,x,k),zn=w("values",S,x,k),Fr=w("shape",S,x,k);return[i.scatterND(Be,zn,Fr)]}case"GatherNd":{var wa=w("x",S,x,k),Be=w("indices",S,x,k);return[i.gatherND(wa,Be)]}case"SparseToDense":{var Be=w("sparseIndices",S,x,k),Fr=w("outputShape",S,x,k),In=w("sparseValues",S,x,k),ur=w("defaultValue",S,x,k);return[i.sparseToDense(Be,In,Fr,In.dtype===ur.dtype?ur:i.cast(ur,In.dtype))]}default:throw TypeError("Node type "+S.op+" is not implemented")}},ir=function(S,x,k){switch(S.op){case"FFT":return[i.fft(w("x",S,x,k))];case"IFFT":return[i.ifft(w("x",S,x,k))];case"RFFT":return[i.rfft(w("x",S,x,k))];case"IRFFT":return[i.irfft(w("x",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}},ta=function(S,x,k){switch(S.op){case"Cast":return[i.cast(w("x",S,x,k),w("dtype",S,x,k))];case"ExpandDims":{var K=w("axis",S,x,k);return[i.expandDims(w("x",S,x,k),K)]}case"Squeeze":{var K=w("axis",S,x,k);return[i.squeeze(w("x",S,x,k),K)]}case"Reshape":return[i.reshape(w("x",S,x,k),w("shape",S,x,k))];case"MirrorPad":return[i.mirrorPad(w("x",S,x,k),w("padding",S,x,k),w("mode",S,x,k))];case"PadV2":case"Pad":return[i.pad(w("x",S,x,k),w("padding",S,x,k),w("constantValue",S,x,k))];case"SpaceToBatchND":{var Se=w("blockShape",S,x,k),we=w("paddings",S,x,k);return[i.spaceToBatchND(w("x",S,x,k),Se,we)]}case"BatchToSpaceND":{var Se=w("blockShape",S,x,k),Je=w("crops",S,x,k);return[i.batchToSpaceND(w("x",S,x,k),Se,Je)]}case"DepthToSpace":{var Be=w("blockSize",S,x,k),vt=w("dataFormat",S,x,k).toUpperCase();return[i.depthToSpace(w("x",S,x,k),Be,vt)]}case"BroadcastTo":return[i.broadcastTo(w("x",S,x,k),w("shape",S,x,k))];default:throw TypeError("Node type "+S.op+" is not implemented")}};function fa(S,x,k,K){var Se=function(we,Je,Be){switch(we.category){case"arithmetic":return i.tidy(function(){return fi(we,Je,Be)});case"basic_math":return i.tidy(function(){return Va(we,Je,Be)});case"control":return ji(we,Je,Be);case"convolution":return i.tidy(function(){return da(we,Je,Be)});case"creation":return i.tidy(function(){return Mi(we,Je,Be)});case"dynamic":return j(we,Je,Be);case"evaluation":return i.tidy(function(){return re(we,Je,Be)});case"image":return i.tidy(function(){return Le(we,Je,Be)});case"graph":return i.tidy(function(){return te(we,Je,Be)});case"logical":return i.tidy(function(){return Ye(we,Je,Be)});case"matrices":return i.tidy(function(){return Ft(we,Je,Be)});case"normalization":return i.tidy(function(){return St(we,Je,Be)});case"reduction":return i.tidy(function(){return Mt(we,Je,Be)});case"slice_join":return i.tidy(function(){return dr(we,Je,Be)});case"spectral":return i.tidy(function(){return ir(we,Je,Be)});case"transformation":return i.tidy(function(){return ta(we,Je,Be)});case"hash_table":return $e(we,Je,Be,K);case"custom":var vt=me(we.op);if(vt&&vt.customExecutor)return vt.customExecutor(new di(we,Je,Be));throw TypeError("Custom op "+we.op+" is not registered.");default:throw TypeError("Unknown op '"+we.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(S,x,k);return i.util.isPromise(Se)?Se.then(function(we){return[].concat(we)}):[].concat(Se)}var ra=function(){function S(x,k,K,Se){x===void 0&&(x={}),k===void 0&&(k={}),K===void 0&&(K={}),Se===void 0&&(Se={}),this.weightMap=x,this.tensorArrayMap=k,this.tensorListMap=K,this.functionMap=Se,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return S.prototype.newFrame=function(x,k){return{id:x,frameName:k,iterationId:0}},Object.defineProperty(S.prototype,"currentContext",{get:function(){return this.contexts},set:function(x){this.contexts!==x&&(this.contexts=x,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),S.prototype.generateCurrentContextIds=function(){for(var x=[],k=0;k<this.contexts.length-1;k++){var K=this.contexts.slice(0,this.contexts.length-k);x.push(this.contextIdforContexts(K))}x.push(""),this._currentContextIds=x},S.prototype.contextIdforContexts=function(x){return x?x.map(function(k){return k.id===0&&k.iterationId===0?"":k.frameName+"-"+k.iterationId}).join("/"):""},S.prototype.enterFrame=function(x){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,x)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},S.prototype.exitFrame=function(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")},S.prototype.nextIteration=function(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;var x=Object.assign({},this.contexts[this.contexts.length-1]);x.iterationId+=1,x.id=this.lastId,this.contexts.splice(-1,1,x),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")},S.prototype.getWeight=function(x){return this.weightMap[x]},S.prototype.addTensorArray=function(x){this.tensorArrayMap[x.id]=x},S.prototype.getTensorArray=function(x){return this.tensorArrayMap[x]},S.prototype.addTensorList=function(x){this.tensorListMap[x.id]=x},S.prototype.getTensorList=function(x){return this.tensorListMap[x]},S.prototype.dispose=function(x){for(var k in this.tensorArrayMap)this.tensorArrayMap[k].clearAndClose(x);for(var k in this.tensorListMap)this.tensorListMap[k].clearAndClose(x)},S}();function Ha(S,x,k,K){var Se=new Set,we=[],Je=null,Be=null,vt=new Set,ft=Object.keys(S).map(function(Qt){return tt(Qt)[0]}),zt=[];K!=null&&(zt=K.map(function(Qt){return tt(Qt.name)[0]}));for(var Wt=xe(x);Wt.length>0;){var Gt=Wt.pop();if((Jr(Gt)||Vr(Gt)||Jn(Gt))&&Je==null&&(Je=Gt,Be=Je.children.map(function(Qt){return Qt.name}).filter(function(Qt){return Se.has(Qt)})),Se.add(Gt.name),k[Gt.name]!=null)continue;if(ft.indexOf(Gt.name)!==-1)continue;if(zt.indexOf(Gt.name)!==-1)continue;if(Gt.inputs.length===0){we.push(Gt.name);continue}Gt.inputs.forEach(function(Qt){if(vt.has(Qt.name))return;vt.add(Qt.name),Wt.push(Qt)})}return{inputs:S,outputs:x,usedNodes:Se,missingInputs:we,dynamicNode:Je,syncInputs:Be}}function ki(S,x,k){var K=k.usedNodes,Se=k.inputs,we=[],Je=Object.keys(Se).map(function(Wt){return tt(Wt)[0]}).map(function(Wt){return S.nodes[Wt]}),Be=S.initNodes;Je.forEach(function(Wt){K.has(Wt.name)&&we.push(Wt)}),S.weights.forEach(function(Wt){K.has(Wt.name)&&we.push(Wt)}),Be!=null&&Be.forEach(function(Wt){K.has(Wt.name)&&we.push(Wt)});for(var vt=new Set,ft=[];we.length>0;){var zt=we.pop();vt.add(zt.name),x[zt.name]||ft.push(zt),zt.children.forEach(function(Wt){!vt.has(Wt.name)&&K.has(Wt.name)&&Wt.inputs.every(function(Gt){return vt.has(Gt.name)})&&we.push(Wt)})}return ft}var sn=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],hn=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],na=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function Jr(S){return sn.indexOf(S.op)>=0}function Vr(S){return hn.indexOf(S.op)>=0}function Jn(S){return na.indexOf(S.op)>=0}var tn=function(){function S(x,k){var K=this;this.graph=x,this.parent=k,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=x.outputs,this._inputs=x.inputs,this._initNodes=x.initNodes,this._signature=x.signature,this._functions=x.functions,x.functions!=null&&Object.keys(x.functions).forEach(function(Se){K._functionExecutorMap[Se]=new S(x.functions[Se],K)})}return Object.defineProperty(S.prototype,"weightIds",{get:function(){return this.parent?this.parent.weightIds:this._weightIds},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"functionExecutorMap",{get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"weightMap",{get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(x){var k=Object.keys(x).map(function(K){return x[K].map(function(Se){return Se.id})});this._weightIds=[].concat.apply([],xe(k)),this._weightMap=x},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"resourceManager",{set:function(x){this._resourceManager=x},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"inputs",{get:function(){return this._inputs.map(function(x){return{name:x.name,shape:x.attrParams.shape?x.attrParams.shape.value:void 0,dtype:x.attrParams.dtype?x.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"outputs",{get:function(){return this._outputs.map(function(x){return{name:x.name,shape:x.attrParams.shape?x.attrParams.shape.value:void 0,dtype:x.attrParams.dtype?x.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"inputNodes",{get:function(){return this._inputs.map(function(x){return x.signatureKey||x.name})},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"outputNodes",{get:function(){return this._outputs.map(function(x){var k=x.signatureKey||x.name;return x.defaultOutput?k+":"+x.defaultOutput:k})},enumerable:!0,configurable:!0}),Object.defineProperty(S.prototype,"functions",{get:function(){var x=this;return Object.keys(this._functions).reduce(function(k,K){return k[K]=x._functions[K].signature,k},{})},enumerable:!0,configurable:!0}),S.prototype.getCompilationKey=function(x,k){var K=x.map(function(we){return we.name}).sort(),Se=k.map(function(we){return we.name}).sort();return K.join(this.SEPERATOR)+"--"+Se.join(this.SEPERATOR)},S.prototype.compile=function(x,k){var K=Ha(x,k,this.weightMap,this._initNodes),Se=K.missingInputs,we=K.dynamicNode,Je=K.syncInputs;if(we!=null)throw new Error("This execution contains the node '"+we.name+"', which has "+("the dynamic op '"+we.op+"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+("dynamic ops, specify the inputs ["+Je+"]"));if(Se.length>0){var Be=k.map(function(ft){return ft.name}),vt=Object.keys(x);throw new Error("Cannot compute the outputs ["+Be+"] from the provided inputs "+("["+vt+"]. Missing the following inputs: ["+Se+"]"))}return ki(this.graph,this.weightMap,K)},S.prototype.execute=function(x,k){var K=this;x=this.mapInputs(x);var Se=Object.keys(x).sort();this.checkInputs(x),this.checkInputShapeAndType(x),k=this.mapOutputs(k),this.checkOutputs(k);var we=Se.map(function(Gt){return K.graph.nodes[tt(Gt)[0]]}),Je=k.map(function(Gt){return tt(Gt)[0]}),Be=Je.map(function(Gt){return K.graph.nodes[Gt]});Be.length===0&&(Be=this._outputs);var vt=this.getCompilationKey(we,Be),ft=this.compiledMap.get(vt);ft==null&&(ft=this.compile(x,Be),this.compiledMap.set(vt,ft));var zt={},Wt={};return i.tidy(function(){var Gt=new ra(K.weightMap,zt,Wt,K.functionExecutorMap),Qt=ke({},K.weightMap);Object.keys(x).forEach(function(pn){var zn=se(tt(pn),2),Fr=zn[0],wa=zn[1],In=[];In[wa]=x[pn],Qt[Fr]=In});for(var wr=K.getFrozenTensorIds(Qt),Ar={},Yt=0;Yt<ft.length;Yt++){var xr=ft[Yt];if(!Qt[xr.name]){var Sn=fa(xr,Qt,Gt,K._resourceManager);if(i.util.isPromise(Sn))throw new Error("The execution of the op '"+xr.op+"' returned a promise. Please use model.executeAsync() instead.");Qt[xr.name]=Sn,K.checkTensorForDisposal(xr.name,xr,Qt,Gt,wr,Je,Ar)}}return K.parent==null&&Gt.dispose(wr),k.map(function(pn){return ge(pn,Qt,Gt)})})},S.prototype.getFrozenTensorIds=function(x){var k=[].concat.apply([],Object.keys(x).map(function(K){return x[K]}).map(function(K){return K.map(function(Se){return Se.id})}));return new Set(k)},S.prototype.checkTensorForDisposal=function(x,k,K,Se,we,Je,Be){if(k.category==="control"||Je.indexOf(x)!==-1)return;K[x].forEach(function(vt){vt!=null&&(Be[vt.id]=(Be[vt.id]||0)+k.children.length)}),k.inputs.forEach(function(vt){if(vt.category!=="control"){var ft=ze(vt.name,K,Se);ft!=null&&ft.forEach(function(zt){if(zt&&!we.has(zt.id)){var Wt=Be[zt.id];Wt===1?(zt.dispose(),delete Be[zt.id]):Wt!=null&&Be[zt.id]--}})}})},S.prototype.executeAsync=function(x,k){return O(this,void 0,void 0,function(){return H(this,function(K){return[2,this._executeAsync(x,k)]})})},S.prototype._executeAsync=function(x,k,K,Se,we){return K===void 0&&(K=!1),Se===void 0&&(Se={}),we===void 0&&(we={}),O(this,void 0,void 0,function(){var Je,Be,vt,ft,zt,Wt;return H(this,function(Gt){switch(Gt.label){case 0:return K||(x=this.mapInputs(x),this.checkInputs(x),this.checkInputShapeAndType(x),k=this.mapOutputs(k),this.checkOutputs(k)),Je=new ra(this.weightMap,Se,we,this.functionExecutorMap),[4,this.executeWithControlFlow(x,Je,k,K)];case 1:return Be=Gt.sent(),vt=k.map(function(Qt){return ge(Qt,Be,Je)}),ft=vt.map(function(Qt){return Qt.id}),zt=Object.keys(x).map(function(Qt){return x[Qt].id}),Wt=new Set(xe(ft,zt,this.weightIds)),Object.keys(Be).forEach(function(Qt){var wr=Be[Qt];wr.forEach(function(Ar){Ar&&!Ar.isDisposed&&!Wt.has(Ar.id)&&Ar.dispose()})}),this.parent==null&&Je.dispose(Wt),[2,vt]}})})},S.prototype.executeFunctionAsync=function(x,k,K){return O(this,void 0,void 0,function(){var Se,we=this;return H(this,function(Je){return Se=x.reduce(function(Be,vt,ft){return Be[we.inputs[ft].name]=vt,Be},{}),[2,this._executeAsync(Se,this.outputNodes,!0,k,K)]})})},S.prototype.executeWithControlFlow=function(x,k,K,Se){return O(this,void 0,void 0,function(){var we,Je,Be,vt,ft,zt,Wt,Gt,Qt,wr,Ar,Yt,xr,Sn,pn,zn,Fr,wa=this;return H(this,function(In){switch(In.label){case 0:we=Object.keys(x),Je=we.map(function(ur){return wa.graph.nodes[tt(ur)[0]]}),Be=K.map(function(ur){return tt(ur)[0]}),vt=Be.map(function(ur){return wa.graph.nodes[ur]}),vt.length===0&&(vt=this._outputs),ft=Ha(x,vt,this.weightMap,this._initNodes),zt=ft.usedNodes,Wt=ft.missingInputs,Gt=ft.dynamicNode,Qt=ft.syncInputs,wr=xe(Je,this.graph.weights,this._initNodes||[]).map(function(ur){return{node:ur,contexts:k.currentContext}}),Ar=ke({},this.weightMap),Object.keys(x).forEach(function(ur){var $r=se(tt(ur),2),Ra=$r[0],mi=$r[1],Ga=[];Ga[mi]=x[ur],Ar[Ra]=Ga}),Yt={},xr=this.getFrozenTensorIds(Ar),Sn={},In.label=1;case 1:return wr.length>0?(pn=this.processStack(Je,wr,k,Ar,Sn,xr,Be,Yt,zt),[4,Promise.all(pn)]):[3,3];case 2:return In.sent(),[3,1];case 3:if(Gt==null&&!Se&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),zn=vt.filter(function(ur){return!Jr(ur)&&!ge(ur.name,Ar,k)}).map(function(ur){return ur.name}),zn.length>0)throw Fr="",Gt!=null&&(Fr="Alternatively, to avoid the dynamic ops, use model.execute() "+("and specify the inputs ["+Qt+"]")),new Error("Cannot compute the outputs ["+zn+"] from the provided "+("inputs ["+we+"]. Consider providing the following inputs: ")+("["+Wt+"]. "+Fr));return[2,Ar]}})})},S.prototype.processStack=function(x,k,K,Se,we,Je,Be,vt,ft){for(var zt=this,Wt=[],Gt=function(){var wr,Ar,Yt=k.pop();K.currentContext=Yt.contexts;var xr="";if(Yt.node.op==="Enter"&&w("isConstant",Yt.node,Se,K)&&(wr=se(W(Yt.node.name,K),1),xr=wr[0]),Se[Yt.node.name]==null){var Sn=fa(Yt.node,Se,K,Qt._resourceManager);xr||(Ar=se(W(Yt.node.name,K),1),xr=Ar[0]);var pn=K.currentContext;i.util.isPromise(Sn)?Wt.push(Sn.then(function(zn){return Se[xr]=zn,K.currentContext=pn,zt.checkTensorForDisposal(xr,Yt.node,Se,K,Je,Be,vt),zt.processChildNodes(Yt.node,k,K,Se,we,ft),zn})):(Se[xr]=Sn,Qt.checkTensorForDisposal(xr,Yt.node,Se,K,Je,Be,vt),Qt.processChildNodes(Yt.node,k,K,Se,we,ft))}else Qt.processChildNodes(Yt.node,k,K,Se,we,ft)},Qt=this;k.length>0;)Gt();return Wt},S.prototype.processChildNodes=function(x,k,K,Se,we,Je){x.children.forEach(function(Be){var vt=se(W(Be.name,K),1),ft=vt[0];if(we[ft]||!Je.has(Be.name))return;Be.op==="Merge"?Be.inputNames.some(function(zt){return!!ge(zt,Se,K)})&&(we[ft]=!0,k.push({contexts:K.currentContext,node:Be})):Be.inputNames.every(function(zt){return!!ge(zt,Se,K)})&&(we[ft]=!0,k.push({contexts:K.currentContext,node:Be}))})},S.prototype.dispose=function(){var x=this;Object.keys(this.weightMap).forEach(function(k){return x.weightMap[k].forEach(function(K){return K.dispose()})})},S.prototype.checkInputShapeAndType=function(x){var k=this;Object.keys(x).forEach(function(K){var Se=x[K],we=se(tt(K),1),Je=we[0],Be=k.graph.nodes[Je];if(Be.attrParams.shape&&Be.attrParams.shape.value){var vt=Be.attrParams.shape.value,ft=vt.length===Se.shape.length&&Se.shape.every(function(zt,Wt){return vt[Wt]===-1||vt[Wt]===zt});i.util.assert(ft,function(){return"The shape of dict['"+Be.name+"'] provided in "+("model.execute(dict) must be ["+vt+"], but was ")+("["+Se.shape+"]")})}Be.attrParams.dtype&&Be.attrParams.dtype.value&&i.util.assert(Se.dtype===Be.attrParams.dtype.value,function(){return"The dtype of dict['"+Be.name+"'] provided in model.execute(dict) must be "+(Be.attrParams.dtype.value+", but was "+Se.dtype)})})},S.prototype.mapInputs=function(x){var k={};for(var K in x)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[K]!=null){var Se=this._signature.inputs[K];k[Se.name]=x[K]}else k[K]=x[K];return k},S.prototype.checkInputs=function(x){var k=this,K=Object.keys(x).filter(function(Se){var we=se(tt(Se),1),Je=we[0];return k.graph.nodes[Je]==null});if(K.length>0)throw new Error("The dict provided in model.execute(dict) has "+("keys: ["+K+"] that are not part of graph"))},S.prototype.mapOutputs=function(x){var k=this;return x.map(function(K){if(k._signature!=null&&k._signature.outputs!=null&&k._signature.outputs[K]!=null){var Se=k._signature.outputs[K];return Se.name}return K},{})},S.prototype.checkOutputs=function(x){var k=this;x.forEach(function(K){var Se=se(tt(K),1),we=Se[0];if(!k.graph.nodes[we])throw new Error("The output '"+K+"' is not found in the graph")})},S}(),Rn=function(){function S(x,k){x===void 0&&(x={}),k===void 0&&(k={}),this.hashTableNameToHandle=x,this.hashTableMap=k}return S.prototype.addHashTable=function(x,k){this.hashTableNameToHandle[x]=k.handle,this.hashTableMap[k.id]=k},S.prototype.getHashTableHandleByName=function(x){return this.hashTableNameToHandle[x]},S.prototype.getHashTableById=function(x){return this.hashTableMap[x]},S.prototype.dispose=function(){for(var x in this.hashTableMap)this.hashTableMap[x].clearAndClose(),delete this.hashTableMap[x];for(var k in this.hashTableNameToHandle)this.hashTableNameToHandle[k].dispose(),delete this.hashTableNameToHandle[k]},S}(),Kn="?tfjs-format=file",aa="model.json",ma=function(){function S(x,k){k===void 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if(this.loadOptions.requestInit!=null)this.handler=i.io.browserHTTPRequest(x,this.loadOptions);else{var k=i.io.getLoadHandlers(x,this.loadOptions);if(k.length===0)k.push(i.io.browserHTTPRequest(x,this.loadOptions));else if(k.length>1)throw new Error("Found more than one ("+k.length+") load handlers for "+("URL '"+[x]+"'"));this.handler=k[0]}},S.prototype.load=function(){return O(this,void 0,void 0,function(){var x;return H(this,function(k){switch(k.label){case 0:if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return x=k.sent(),[2,this.loadSync(x)]}})})},S.prototype.loadSync=function(x){this.artifacts=x;var k=this.artifacts.modelTopology,K={};this.artifacts.userDefinedMetadata!=null&&(K=this.artifacts.userDefinedMetadata.signature),this.version=k.versions.producer+"."+k.versions.minConsumer;var 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============================
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V=this.readSync(E.dataId),oe=this.readSync(F.dataId),ee=this.readSync(A.dataId),_e=i.zeros(F.shape,i.upcastType(F.dtype,A.dtype)),ce=this.readSync(_e.dataId),de=0,ye=E.rank===0||E.rank>1||F.rank===1?1:i.util.sizeFromShape(F.shape.slice(1)),ve=0;ve<V.length;ve++)for(var Re=0;Re<ye;Re++)V[ve]===1?ce[de++]=oe[ve]:ce[de++]=ee[ve];return _e},ue.prototype.where=function(E){Q([E],"where");var F=this.readSync(E.dataId);return ae(E.shape,F)},ue.prototype.topk=function(E,F,A){Q(E,"topk");var V=this.readSync(E.dataId);return me(V,E.shape,E.dtype,F,A)},ue.prototype.min=function(E,F){Q(E,"min"),i.backend_util.assertAxesAreInnerMostDims("min",F,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,F),V=A[0],oe=A[1],ee=i.zeros(V,E.dtype),_e=i.util.sizeFromShape(oe),ce=this.readSync(ee.dataId),de=this.readSync(E.dataId),ye=0;ye<ce.length;++ye){for(var ve=ye*_e,Re=de[ve],Oe=0;Oe<_e;++Oe){var Fe=de[ve+Oe];Fe<Re&&(Re=Fe)}ce[ye]=Re}return ee},ue.prototype.minimum=function(E,F){return Q([E,F],"minimum"),this.broadcastedBinaryOp(E,F,E.dtype,function(A,V){return Math.min(A,V)})},ue.prototype.mod=function(E,F){return Q([E,F],"mod"),this.broadcastedBinaryOp(E,F,E.dtype,function(A,V){var oe=A%V;return A<0&&V<0||A>=0&&V>=0?oe:(oe+V)%V})},ue.prototype.maximum=function(E,F){return Q([E,F],"maximum"),this.broadcastedBinaryOp(E,F,E.dtype,function(A,V){return Math.max(A,V)})},ue.prototype.all=function(E,F){Q(E,"all"),i.backend_util.assertAxesAreInnerMostDims("all",F,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,F),V=A[0],oe=A[1],ee=i.zeros(V,E.dtype),_e=i.util.sizeFromShape(oe),ce=this.readSync(ee.dataId),de=this.readSync(E.dataId),ye=0;ye<ce.length;++ye){for(var ve=ye*_e,Re=de[ve],Oe=0;Oe<_e;++Oe){var Fe=de[ve+Oe];Re=Re&&Fe}ce[ye]=Re}return ee},ue.prototype.any=function(E,F){Q(E,"any"),i.backend_util.assertAxesAreInnerMostDims("any",F,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,F),V=A[0],oe=A[1],ee=i.zeros(V,E.dtype),_e=i.util.sizeFromShape(oe),ce=this.readSync(ee.dataId),de=this.readSync(E.dataId),ye=0;ye<ce.length;++ye){for(var ve=ye*_e,Re=de[ve],Oe=0;Oe<_e;++Oe){var Fe=de[ve+Oe];Re=Re||Fe}ce[ye]=Re}return ee},ue.prototype.squaredDifference=function(E,F){return Q([E,F],"squaredDifference"),this.broadcastedBinaryOp(E,F,E.dtype,function(A,V){var oe=A-V;return oe*oe})},ue.prototype.eluDer=function(E,F){Q([E,F],"eluDer");for(var A=new Float32Array(F.size),V=this.readSync(F.dataId),oe=this.readSync(E.dataId),ee=0;ee<V.length;++ee){var _e=V[ee];_e>=1?A[ee]=oe[ee]:A[ee]=oe[ee]*(_e+1)}return this.makeOutput(A,F.shape,"float32")},ue.prototype.atan2=function(E,F){return Q([E,F],"atan2"),this.broadcastedBinaryOp(E,F,E.dtype,function(A,V){return Math.atan2(A,V)})},ue.prototype.tile=function(E,F){return Q(E,"tile"),he(this.bufferSync(E),F)},ue.prototype.gather=function(E,F,A){Q([E,F],"gather");var V=E.shape.slice(),oe=this.readSync(F.dataId);V[A]=oe.length;for(var ee=i.buffer(V,E.dtype),_e=this.bufferSync(E),ce=0;ce<ee.size;++ce){var de=ee.indexToLoc(ce),ye=de.slice();ye[A]=oe[de[A]];var ve=_e.locToIndex(ye);ee.values[ce]=_e.values[ve]}return ee.toTensor()},ue.prototype.batchToSpaceND=function(E,F,A){Q([E],"batchToSpaceND");var V=F.reduce(function(ye,ve){return ye*ve}),oe=i.backend_util.getReshaped(E.shape,F,V),ee=i.backend_util.getPermuted(oe.length,F.length),_e=i.backend_util.getReshapedPermuted(E.shape,F,V),ce=i.backend_util.getSliceBeginCoords(A,F.length),de=i.backend_util.getSliceSize(_e,A,F.length);return i.transpose(E.reshape(oe),ee).reshape(_e).slice(ce,de)},ue.prototype.pool3d=function(E,F,A){Q(E,"pool3d");for(var V=F.strideDepth,oe=F.strideHeight,ee=F.strideWidth,_e=F.dilationDepth,ce=F.dilationHeight,de=F.dilationWidth,ye=F.effectiveFilterDepth,ve=F.effectiveFilterHeight,Re=F.effectiveFilterWidth,Oe=F.padInfo.front,Fe=F.padInfo.top,Ve=F.padInfo.left,Xe=A==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,rt=this.readSync(E.dataId),at=i.buffer(F.outShape,E.dtype),$=at.values,et=F.outShape[1]*F.outShape[2]*F.outShape[3]*F.outShape[4],gt=F.outShape[2]*F.outShape[3]*F.outShape[4],lt=F.outShape[3]*F.outShape[4],_t=F.outShape[4],At=0;At<F.batchSize;++At)for(var Lt=At*et,Pt=At*E.strides[0],Ut=0;Ut<F.inChannels;++Ut)for(var Nt=0;Nt<F.outDepth;++Nt){for(var Kt=Nt*V-Oe,Ht=Kt;Ht<0;)Ht+=_e;for(var Ot=Math.min(F.inDepth,ye+Kt),Rt=Lt+Nt*gt,wt=0;wt<F.outHeight;++wt){for(var Et=wt*oe-Fe,Vt=Et;Vt<0;)Vt+=ce;for(var jt=Math.min(F.inHeight,ve+Et),cr=Rt+wt*lt,rr=0;rr<F.outWidth;++rr){for(var Ie=rr*ee-Ve,br=Ie;br<0;)br+=de;for(var Nr=Math.min(F.inWidth,Re+Ie),Tr=cr+rr*_t,hr=Xe,Dr=0,fr=0,Er=Ht;Er<Ot;Er+=_e){for(var an=Pt+Er*E.strides[1],wn=Vt;wn<jt;wn+=ce){for(var ie=an+wn*E.strides[2],Nn=br;Nn<Nr;Nn+=de){var bn=ie+Nn*E.strides[3],Ee=rt[bn+Ut];if(A==="max"&&Ee>hr?hr=Ee:A==="avg"&&(Dr+=Ee,fr++),isNaN(hr))break}if(isNaN(hr))break}if(isNaN(hr))break}var Bn=Tr+Ut;$[Bn]=A==="avg"?Dr/fr:hr}}}return at.toTensor()},ue.prototype.avgPool3d=function(E,F){return Q(E,"avgPool3d"),this.pool3d(E,F,"avg").toFloat()},ue.prototype.avgPool3dBackprop=function(E,F,A){Q([E,F],"avgPool3dBackprop");for(var V=A.strideDepth,oe=A.strideHeight,ee=A.strideWidth,_e=A.filterDepth,ce=A.filterHeight,de=A.filterWidth,ye=A.dilationDepth,ve=A.dilationHeight,Re=A.dilationWidth,Oe=A.effectiveFilterDepth,Fe=A.effectiveFilterHeight,Ve=A.effectiveFilterWidth,Xe=Oe-1-A.padInfo.front,rt=Ve-1-A.padInfo.left,at=Fe-1-A.padInfo.top,$=i.buffer(F.shape,"float32"),et=1/(_e*ce*de),gt=this.bufferSync(E),lt=0;lt<A.batchSize;++lt)for(var _t=0;_t<A.inChannels;++_t)for(var At=0;At<A.inDepth;++At)for(var Lt=0;Lt<A.inHeight;++Lt)for(var Pt=0;Pt<A.inWidth;++Pt){for(var Ut=At-Xe,Nt=Lt-at,Kt=Pt-rt,Ht=0,Ot=0;Ot<Oe;Ot+=ye){var Rt=(Ut+Ot)/V;if(Rt<0||Rt>=A.outDepth||Math.floor(Rt)!==Rt)continue;for(var wt=0;wt<Fe;wt+=ve){var Et=(Nt+wt)/oe;if(Et<0||Et>=A.outHeight||Math.floor(Et)!==Et)continue;for(var Vt=0;Vt<Ve;Vt+=Re){var jt=(Kt+Vt)/ee;if(jt<0||jt>=A.outWidth||Math.floor(jt)!==jt)continue;var cr=gt.get(lt,Rt,Et,jt,_t);Ht+=cr}}}$.set(Ht*et,lt,At,Lt,Pt,_t)}return $.toTensor()},ue.prototype.maxPool3d=function(E,F){return Q(E,"maxPool3d"),this.pool3d(E,F,"max").toFloat()},ue.prototype.maxPool3dPositions=function(E,F){for(var A=i.buffer(F.outShape,"int32"),V=F.strideDepth,oe=F.strideHeight,ee=F.strideWidth,_e=F.dilationDepth,ce=F.dilationHeight,de=F.dilationWidth,ye=F.effectiveFilterDepth,ve=F.effectiveFilterHeight,Re=F.effectiveFilterWidth,Oe=F.padInfo.front,Fe=F.padInfo.top,Ve=F.padInfo.left,Xe=this.bufferSync(E),rt=0;rt<F.batchSize;++rt)for(var at=0;at<F.inChannels;++at)for(var $=0;$<F.outDepth;++$){for(var et=$*V-Oe,gt=et;gt<0;)gt+=_e;for(var lt=Math.min(F.inDepth,ye+et),_t=0;_t<F.outHeight;++_t){for(var At=_t*oe-Fe,Lt=At;Lt<0;)Lt+=ce;for(var Pt=Math.min(F.inHeight,ve+At),Ut=0;Ut<F.outWidth;++Ut){for(var Nt=Ut*ee-Ve,Kt=Nt;Kt<0;)Kt+=de;for(var Ht=Math.min(F.inWidth,Re+Nt),Ot=Number.NEGATIVE_INFINITY,Rt=-1,wt=gt;wt<lt;wt+=_e)for(var Et=wt-et,Vt=Lt;Vt<Pt;Vt+=ce)for(var jt=Vt-At,cr=Kt;cr<Ht;cr+=de){var rr=cr-Nt,Ie=Xe.get(rt,wt,Vt,cr,at);Ie>=Ot&&(Ot=Ie,Rt=Et*ve*Re+jt*ve+rr)}A.set(Rt,rt,$,_t,Ut,at)}}}return A.toTensor()},ue.prototype.maxPool3dBackprop=function(E,F,A,V){Q([F,A],"maxPool3dBackprop");for(var oe=this.maxPool3dPositions(F,V),ee=V.strideDepth,_e=V.strideHeight,ce=V.strideWidth,de=V.dilationDepth,ye=V.dilationHeight,ve=V.dilationWidth,Re=V.effectiveFilterDepth,Oe=V.effectiveFilterHeight,Fe=V.effectiveFilterWidth,Ve=Re-1-V.padInfo.front,Xe=Fe-1-V.padInfo.left,rt=Oe-1-V.padInfo.top,at=i.buffer(F.shape,"float32"),$=this.bufferSync(oe),et=this.bufferSync(E),gt=0;gt<V.batchSize;++gt)for(var lt=0;lt<V.inChannels;++lt)for(var _t=0;_t<V.inDepth;++_t)for(var At=0;At<V.inHeight;++At)for(var Lt=0;Lt<V.inWidth;++Lt){for(var Pt=_t-Ve,Ut=At-rt,Nt=Lt-Xe,Kt=0,Ht=0;Ht<Re;Ht+=de){var Ot=(Pt+Ht)/ee;if(Ot<0||Ot>=V.outDepth||Math.floor(Ot)!==Ot)continue;for(var Rt=0;Rt<Oe;Rt+=ye){var wt=(Ut+Rt)/_e;if(wt<0||wt>=V.outHeight||Math.floor(wt)!==wt)continue;for(var Et=0;Et<Fe;Et+=ve){var Vt=(Nt+Et)/ce;if(Vt<0||Vt>=V.outWidth||Math.floor(Vt)!==Vt)continue;var jt=Re*Oe*Fe-1-$.get(gt,Ot,wt,Vt,lt),cr=Ht*Oe*Fe+Rt*Fe+Et,rr=jt===cr?1:0;if(rr===0)continue;var Ie=et.get(gt,Ot,wt,Vt,lt);Kt+=Ie*rr}}}at.set(Kt,gt,_t,At,Lt,lt)}return at.toTensor()},ue.prototype.resizeBilinear=function(E,F,A,V){Q(E,"resizeBilinear");for(var oe=E.shape,ee=oe[0],_e=oe[1],ce=oe[2],de=oe[3],ye=this.readSync(E.dataId),ve=new Float32Array(i.util.sizeFromShape([ee,F,A,de])),Re=[V&&F>1?_e-1:_e,V&&A>1?ce-1:ce],Oe=[V&&F>1?F-1:F,V&&A>1?A-1:A],Fe=0,Ve=Re[0]/Oe[0],Xe=Re[1]/Oe[1],rt=0;rt<ee;rt++)for(var at=0;at<F;at++)for(var $=Ve*at,et=Math.floor($),gt=$-et,lt=Math.min(_e-1,Math.ceil($)),_t=rt*E.strides[0]+et*E.strides[1],At=rt*E.strides[0]+lt*E.strides[1],Lt=0;Lt<A;Lt++)for(var Pt=Xe*Lt,Ut=Math.floor(Pt),Nt=Pt-Ut,Kt=Math.min(ce-1,Math.ceil(Pt)),Ht=_t+Ut*E.strides[2],Ot=At+Ut*E.strides[2],Rt=_t+Kt*E.strides[2],wt=At+Kt*E.strides[2],Et=0;Et<de;Et++){var Vt=ye[Ht+Et],jt=ye[Ot+Et],cr=ye[Rt+Et],rr=ye[wt+Et],Ie=Vt+(cr-Vt)*Nt,br=jt+(rr-jt)*Nt,Nr=Ie+(br-Ie)*gt;ve[Fe++]=Nr}return i.tensor(ve,[ee,F,A,de])},ue.prototype.resizeBilinearBackprop=function(E,F,A){Q([E,F],"resizeBilinearBackprop");for(var V=F.shape,oe=V[0],ee=V[1],_e=V[2],ce=V[3],de=E.shape,ye=de[1],ve=de[2],Re=new Float32Array(oe*ee*_e*ce),Oe=[A&&ye>1?ee-1:ee,A&&ve>1?_e-1:_e],Fe=[A&&ye>1?ye-1:ye,A&&ve>1?ve-1:ve],Ve=Oe[0]/Fe[0],Xe=Oe[1]/Fe[1],rt=this.readSync(E.dataId),at=0,$=0;$<oe;$++)for(var et=$*F.strides[0],gt=0;gt<ye;gt++)for(var lt=gt*Ve,_t=Math.floor(lt),At=Math.min(Math.ceil(lt),ee-1),Lt=et+_t*F.strides[1],Pt=et+At*F.strides[1],Ut=lt-_t,Nt=1-Ut,Kt=0;Kt<ve;Kt++)for(var Ht=Kt*Xe,Ot=Math.floor(Ht),Rt=Math.min(Math.ceil(Ht),_e-1),wt=Ht-Ot,Et=1-wt,Vt=Lt+Ot*F.strides[2],jt=Lt+Rt*F.strides[2],cr=Pt+Ot*F.strides[2],rr=Pt+Rt*F.strides[2],Ie=Nt*Et,br=Nt*wt,Nr=Ut*Et,Tr=Ut*wt,hr=0;hr<ce;hr++){var Dr=rt[at++];Re[Vt+hr]+=Dr*Ie,Re[jt+hr]+=Dr*br,Re[cr+hr]+=Dr*Nr,Re[rr+hr]+=Dr*Tr}return i.tensor4d(Re,[oe,_e,ee,ce],F.dtype)},ue.prototype.resizeNearestNeighbor=function(E,F,A,V){Q(E,"resizeNearestNeighbor");for(var oe=E.shape,ee=oe[0],_e=oe[1],ce=oe[2],de=oe[3],ye=this.readSync(E.dataId),ve=new Float32Array(ee*F*A*de),Re=[V&&F>1?_e-1:_e,V&&A>1?ce-1:ce],Oe=[V&&F>1?F-1:F,V&&A>1?A-1:A],Fe=Re[0]/Oe[0],Ve=Re[1]/Oe[1],Xe=0,rt=0;rt<ee;rt++)for(var at=rt*E.strides[0],$=0;$<F;$++)for(var et=Fe*$,gt=Math.min(_e-1,V?Math.round(et):Math.floor(et)),lt=at+gt*E.strides[1],_t=0;_t<A;_t++)for(var At=Ve*_t,Lt=Math.min(ce-1,V?Math.round(At):Math.floor(At)),Pt=lt+Lt*E.strides[2],Ut=0;Ut<de;Ut++){var Nt=ye[Pt+Ut];ve[Xe++]=Nt}return i.tensor(ve,[ee,F,A,de],E.dtype)},ue.prototype.resizeNearestNeighborBackprop=function(E,F,A){Q([E,F],"resizeNearestNeighborBackprop");for(var V=F.shape,oe=V[0],ee=V[1],_e=V[2],ce=V[3],de=E.shape,ye=de[1],ve=de[2],Re=new Float32Array(oe*ee*_e*ce),Oe=this.readSync(E.dataId),Fe=[A&&ye>1?ee-1:ee,A&&ve>1?_e-1:_e],Ve=[A&&ye>1?ye-1:ye,A&&ve>1?ve-1:ve],Xe=Fe[0]/Ve[0],rt=Fe[1]/Ve[1],at=1/Xe,$=1/rt,et=Math.ceil(at)*2+2,gt=Math.ceil($)*2+2,lt=0;lt<oe;lt++)for(var _t=lt*F.strides[0],At=0;At<ee;At++)for(var Lt=_t+At*F.strides[1],Pt=Math.floor(At*at),Ut=Math.floor(Pt-et/2),Nt=0;Nt<_e;Nt++)for(var Kt=Lt+Nt*F.strides[2],Ht=Math.floor(Nt*$),Ot=Math.floor(Ht-gt/2),Rt=0;Rt<ce;Rt++){for(var wt=0,Et=0;Et<et;Et++){var Vt=Et+Ut;if(Vt<0||Vt>=ye)continue;var jt=_t+Vt*E.strides[1],cr=Vt*Xe,rr=Math.min(ee-1,A?Math.round(cr):Math.floor(cr));if(At!==rr)continue;for(var Ie=0;Ie<gt;Ie++){var br=Ie+Ot;if(br<0||br>=ve)continue;var Nr=jt+br*E.strides[2],Tr=br*rt,hr=Math.min(_e-1,A?Math.round(Tr):Math.floor(Tr));Nt===hr&&(wt+=Oe[Nr+Rt])}}Re[Kt+Rt]=wt}return i.tensor4d(Re,F.shape,F.dtype)},ue.prototype.localResponseNormalization4D=function(E,F,A,V,oe){Q(E,"localResponseNormalization4D");var ee=E.shape[3],_e=ee-1,ce=this.readSync(E.dataId),de=E.size,ye=new Float32Array(de);function ve(Ve){for(var Xe=Ve%ee,rt=Ve-Xe+Math.max(0,Xe-F),at=Ve-Xe+Math.min(Xe+F,_e),$=0;rt<=at;rt++){var et=ce[rt];$+=et*et}return $}for(var Re=0;Re<de;Re++){var Oe=ve(Re),Fe=ce[Re]*Math.pow(A+V*Oe,-oe);ye[Re]=Fe}return i.tensor4d(ye,E.shape)},ue.prototype.LRNGrad=function(E,F,A,V,oe,ee,_e){Q(E,"LRNGrad");for(var ce=E.shape[3],de=this.readSync(E.dataId),ye=this.readSync(F.dataId),ve=this.readSync(A.dataId),Re=new Float32Array(E.size),Oe=E.size,Fe=0;Fe<Oe;Fe++){for(var Ve=Fe%ce,Xe=Fe-Ve+Math.max(0,Ve-V),rt=Fe-Ve+Math.min(ce,Ve+V+1),at=0,$=Xe;$<rt;$++)at+=Math.pow(ye[$],2);at=ee*at+oe;for(var $=Xe;$<rt;$++){var et=-2*ee*_e*ye[$]*ve[Fe]/at;Fe===$&&(et+=Math.pow(at,-_e)),et*=de[Fe],Re[$]+=et}}return i.tensor4d(Re,E.shape)},ue.prototype.multinomial=function(E,F,A,V){Q(E,"multinomial");for(var oe=F?E:i.softmax(E),ee=oe.shape[0],_e=oe.shape[1],ce=i.zeros([ee,A],"int32"),de=this.readSync(ce.dataId),ye=this.readSync(oe.dataId),ve=0;ve<ee;++ve){var Re=ve*_e,Oe=new Float32Array(_e-1);Oe[0]=ye[Re];for(var Fe=1;Fe<Oe.length;++Fe)Oe[Fe]=Oe[Fe-1]+ye[Re+Fe];for(var Ve=ke.alea(V.toString()),Xe=ve*A,rt=0;rt<A;++rt){var at=Ve();de[Xe+rt]=Oe.length;for(var $=0;$<Oe.length;$++)if(at<Oe[$]){de[Xe+rt]=$;break}}}return ce},ue.prototype.oneHot=function(E,F,A,V){Q(E,"oneHot");var oe=new Float32Array(E.size*F);oe.fill(V);for(var ee=this.readSync(E.dataId),_e=0;_e<E.size;++_e)ee[_e]>=0&&ee[_e]<F&&(oe[_e*F+ee[_e]]=A);return i.tensor2d(oe,[E.size,F],"int32")},ue.prototype.nonMaxSuppression=function(E,F,A,V,oe){Q(E,"nonMaxSuppression");var ee=this.readSync(E.dataId),_e=this.readSync(F.dataId);return Ae(ee,_e,A,V,oe)},ue.prototype.depthToSpace=function(E,F,A){i.util.assert(A==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+A}),i.util.assert(F>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+F});for(var V=E.shape[0],oe=E.shape[1],ee=E.shape[2],_e=E.shape[3],ce=oe*F,de=ee*F,ye=_e/(F*F),ve=this.readSync(E.dataId),Re=new Float32Array(V*ce*de*ye),Oe=0,Fe=0;Fe<V;++Fe)for(var Ve=0;Ve<ce;++Ve)for(var Xe=Math.floor(Ve/F),rt=Ve%F,at=0;at<de;++at)for(var $=Math.floor(at/F),et=at%F,gt=(rt*F+et)*ye,lt=0;lt<ye;++lt){var _t=lt+gt,At=_t+_e*($+ee*(Xe+oe*Fe));Re[Oe++]=ve[At]}return i.tensor4d(Re,[V,ce,de,ye])},ue.prototype.broadcastedBinaryOp=function(E,F,A,V){var oe=i.backend_util.assertAndGetBroadcastShape(E.shape,F.shape),ee=i.buffer(oe,A),_e=this.readSync(E.dataId),ce=this.readSync(F.dataId),de=i.backend_util.getBroadcastDims(E.shape,oe),ye=i.backend_util.getBroadcastDims(F.shape,oe),ve=ee.values;if(de.length+ye.length===0)for(var Re=0;Re<ve.length;++Re)ve[Re]=V(_e[Re%_e.length],ce[Re%ce.length]);else for(var Oe=this.bufferSync(E),Fe=this.bufferSync(F),Ve=function(rt){var at=ee.indexToLoc(rt),$=at.slice(-E.rank);de.forEach(function(_t){return $[_t]=0});var et=Oe.locToIndex($),gt=at.slice(-F.rank);ye.forEach(function(_t){return gt[_t]=0});var lt=Fe.locToIndex(gt);ve[rt]=V(_e[et],ce[lt])},Re=0;Re<ve.length;++Re)Ve(Re);return ee.toTensor()},ue.prototype.split=function(E,F,A){return P(E,F,A)},ue.prototype.dispose=function(){},ue.prototype.floatPrecision=function(){return 32},ue.prototype.epsilon=function(){return ne.prototype.epsilon.call(this)},ue.prototype.cropAndResize=function(E,F,A,V,oe,ee){for(var _e=E.shape,ce=_e[0],de=_e[1],ye=_e[2],ve=_e[3],Re=F.shape[0],Oe=V[0],Fe=V[1],Ve=i.buffer([Re,Oe,Fe,ve],"float32"),Xe=this.readSync(F.dataId),rt=this.readSync(A.dataId),at=this.readSync(E.dataId),$=E.strides,et=Ve.strides,gt=0;gt<Re;gt++){var lt=gt*4,_t=Xe[lt],At=Xe[lt+1],Lt=Xe[lt+2],Pt=Xe[lt+3],Ut=rt[gt];if(Ut>=ce)continue;for(var Nt=Oe>1?(Lt-_t)*(de-1)/(Oe-1):0,Kt=Fe>1?(Pt-At)*(ye-1)/(Fe-1):0,Ht=0;Ht<Oe;Ht++){var Ot=Oe>1?_t*(de-1)+Ht*Nt:.5*(_t+Lt)*(de-1);if(Ot<0||Ot>de-1){for(var Rt=0;Rt<Fe;Rt++)for(var wt=0;wt<ve;wt++){var Et=wt+Rt*et[2]+Ht*et[1]+gt*et[0];Ve.values[Et]=ee}continue}if(oe==="bilinear")for(var Vt=Math.floor(Ot),jt=Math.ceil(Ot),cr=Ot-Vt,Rt=0;Rt<Fe;Rt++){var rr=Fe>1?At*(ye-1)+Rt*Kt:.5*(At+Pt)*(ye-1);if(rr<0||rr>ye-1){for(var wt=0;wt<ve;wt++){var Et=wt+Rt*et[2]+Ht*et[1]+gt*et[0];Ve.values[Et]=ee}continue}for(var Ie=Math.floor(rr),br=Math.ceil(rr),Nr=rr-Ie,wt=0;wt<ve;wt++){var Et=wt+Ie*$[2]+Vt*$[1]+Ut*$[0],Tr=at[Et];Et=wt+br*$[2]+Vt*$[1]+Ut*$[0];var hr=at[Et];Et=wt+Ie*$[2]+jt*$[1]+Ut*$[0];var Dr=at[Et];Et=wt+br*$[2]+jt*$[1]+Ut*$[0];var fr=at[Et],Er=Tr+(hr-Tr)*Nr,an=Dr+(fr-Dr)*Nr;Et=wt+Rt*et[2]+Ht*et[1]+gt*et[0],Ve.values[Et]=Er+(an-Er)*cr}}else for(var Rt=0;Rt<Fe;++Rt){var rr=Fe>1?At*(ye-1)+Rt*Kt:.5*(At+Pt)*(ye-1);if(rr<0||rr>ye-1){for(var wt=0;wt<ve;wt++){var Et=wt+Rt*et[2]+Ht*et[1]+gt*et[0];Ve.values[Et]=ee}continue}for(var wn=Math.round(rr),ie=Math.round(Ot),wt=0;wt<ve;wt++){var Nn=wt+wn*$[2]+ie*$[1]+Ut*$[0],bn=wt+Rt*et[2]+Ht*et[1]+gt*et[0];Ve.values[bn]=at[Nn]}}}}return Ve.toTensor()},ue.prototype.sparseToDense=function(E,F,A,V){var oe=i.backend_util.calculateShapes(F,E,A),ee=oe.sliceRank,_e=oe.numUpdates,ce=oe.sliceSize,de=oe.strides,ye=oe.outputSize,ve=!1;return this.scatter(E,F,A,ye,ce,_e,ee,de,V,ve)},ue.prototype.gatherND=function(E,F){var A=F.shape,V=A[A.length-1],oe=i.backend_util.prepareAndValidate(E,F),ee=oe[0],_e=oe[1],ce=oe[2],de=oe[3];if(_e===0)return i.tensor([],ee,E.dtype);for(var ye=new i.TensorBuffer([_e,ce],E.dtype),ve=this.readSync(F.dataId),Re=this.readSync(E.dataId),Oe=0;Oe<_e;Oe++){for(var Fe=[],Ve=0,Xe=0;Xe<V;Xe++){var rt=ve[Oe*V+Xe];Ve+=rt*de[Xe],Fe.push(rt)}if(Ve<0||Ve>=E.size/ce)throw new Error("Invalid indices: "+Fe+" does not index into "+E.shape);for(var at=0;at<ce;at++)ye.values[Oe*ce+at]=Re[Ve*ce+at]}return ye.toTensor().reshape(ee)},ue.prototype.scatterND=function(E,F,A){var V=i.backend_util.calculateShapes(F,E,A),oe=V.sliceRank,ee=V.numUpdates,_e=V.sliceSize,ce=V.strides,de=V.outputSize,ye=i.scalar(0),ve=!0;return this.scatter(E,F,A,de,_e,ee,oe,ce,ye,ve)},ue.prototype.onesLike=function(E){if(E.dtype==="string")throw new Error("onesLike is not supported for string tensors");return i.fill(E.shape,1,E.dtype)},ue.prototype.zerosLike=function(E){var F=i.util.getArrayFromDType(E.dtype,i.util.sizeFromShape(E.shape));return this.makeOutput(F,E.shape,E.dtype)},ue.prototype.linspace=function(E,F,A){return i.backend_util.linspaceImpl(E,F,A)},ue.prototype.scatter=function(E,F,A,V,oe,ee,_e,ce,de,ye){var ve=[V/oe,oe],Re=this.readSync(E.dataId),Oe=this.readSync(F.dataId);if(V===0)return i.tensor([],A,F.dtype);var Fe=new i.TensorBuffer(ve,F.dtype);Fe.values.fill(this.readSync(de.dataId)[0]);for(var Ve=0;Ve<ee;Ve++){for(var Xe=[],rt=0,at=0;at<_e;at++){var $=Re[Ve*_e+at];Xe.push($),rt+=$*ce[at]}if(rt<0||rt>=V/oe)throw new Error("Invalid indices: "+Xe+" does not index into "+A);for(var et=0;et<oe;et++)ye?Fe.values[rt*oe+et]+=Oe[Ve*oe+et]:Fe.values[rt*oe+et]=F.rank===0?Oe[0]:Oe[Ve*oe+et]}return Fe.toTensor().reshape(A)},ue}(i.KernelBackend);function ge(ne){for(var ue=new Float32Array(ne.length),E=0;E<ne.length;++E)ue[E]=Math.abs(ne[E]);return ue}var ze=function(ne){var ue=ne.inputs.x,E=ne.backend,F=new Float32Array(i.util.sizeFromShape(ue.shape));if(ue.dtype!=="complex64"){var A=E.data.get(ue.dataId).values;F=ge(A)}else for(var V=E.data.get(ue.dataId),oe=V.complexTensorInfos.real,ee=V.complexTensorInfos.imag,_e=E.data.get(oe.dataId).values,ce=E.data.get(ee.dataId).values,de=0;de<_e.length;de++){var ye=_e[de],ve=ce[de];F[de]=Math.hypot(ye,ve)}return E.makeOutput(F,ue.shape,"float32")},W={kernelName:i.Abs,backendName:"cpu",kernelFunc:ze};function nt(ne){return function(ue,E,F,A,V){var oe=i.backend_util.assertAndGetBroadcastShape(ue,E),ee=oe.length,_e=i.util.computeStrides(oe),ce=i.util.sizeFromShape(oe),de=i.util.getTypedArrayFromDType(V,ce),ye=ue.length,ve=E.length,Re=i.util.computeStrides(ue),Oe=i.util.computeStrides(E),Fe=i.backend_util.getBroadcastDims(ue,oe),Ve=i.backend_util.getBroadcastDims(E,oe);if(Fe.length+Ve.length===0)for(var Xe=0;Xe<de.length;++Xe)de[Xe]=ne(F[Xe%F.length],A[Xe%A.length]);else for(var rt=function($){var et=i.util.indexToLoc($,ee,_e),gt=et.slice(-ye);Fe.forEach(function(Lt){return gt[Lt]=0});var lt=i.util.locToIndex(gt,ye,Re),_t=et.slice(-ve);Ve.forEach(function(Lt){return _t[Lt]=0});var At=i.util.locToIndex(_t,ve,Oe);de[$]=ne(F[lt],A[At])},Xe=0;Xe<de.length;++Xe)rt(Xe);return[de,oe]}}function tt(ne){var ue=ne.inputs,E=ne.backend,F=ue.real,A=ue.imag,V=E.data.get(F.dataId).values,oe=E.data.get(A.dataId).values,ee=E.makeTensorInfo(F.shape,"complex64"),_e=E.data.get(ee.dataId);return _e.complexTensorInfos={real:E.makeTensorInfo(F.shape,"float32",V),imag:E.makeTensorInfo(A.shape,"float32",oe)},ee}var nr={kernelName:i.Complex,backendName:"cpu",kernelFunc:tt};function Tt(ne){var ue=ne.inputs,E=ne.backend,F=ue.x;return E.incRef(F.dataId),{dataId:F.dataId,shape:F.shape,dtype:F.dtype}}var Qe={kernelName:i.Identity,backendName:"cpu",kernelFunc:Tt};function it(ne){var ue=ne.inputs,E=ne.backend,F=ue.input,A=E.data.get(F.dataId).complexTensorInfos.real,V=E.data.get(A.dataId).values;return E.makeTensorInfo(A.shape,A.dtype,V)}var xt={kernelName:i.Real,backendName:"cpu",kernelFunc:it};function ot(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=F.dtype;if(V==="complex64"){if(A.dtype==="complex64")return Tt({inputs:{x:A},backend:E});var oe=i.zeros(A.shape),ee=ot({inputs:{x:A},backend:E,attrs:{dtype:"float32"}}),_e=tt({inputs:{real:ee,imag:oe},backend:E});return oe.dispose(),E.disposeIntermediateTensorInfo(ee),_e}if(A.dtype==="complex64"){var ce=it({inputs:{input:A},backend:E}),_e=ot({inputs:{x:ce},backend:E,attrs:{dtype:V}});return E.disposeIntermediateTensorInfo(ce),_e}if(!i.util.hasEncodingLoss(A.dtype,V)){var _e=Tt({inputs:{x:A},backend:E});return{dataId:_e.dataId,shape:_e.shape,dtype:V}}if(V==="int32"){var de=E.data.get(A.dataId).values,ye=Int32Array.from(de);return E.makeTensorInfo(A.shape,"int32",ye)}if(V==="bool"){var ve=E.data.get(A.dataId).values,Re=i.util.toTypedArray([0],A.dtype),Oe=nt(function(Xe,rt){return Xe!==rt?1:0})(A.shape,[],ve,Re,"bool"),Fe=Oe[0],Ve=Oe[1];return E.makeTensorInfo(Ve,"bool",Fe)}throw new Error("Error in Cast: failed to cast "+A.dtype+" to "+V)}var ht={kernelName:i.Cast,backendName:"cpu",kernelFunc:ot};function ut(ne,ue,E,F){return E==null?function(A){var V=A.inputs,oe=A.backend,ee=V,_e=ee.a,ce=ee.b,de=oe;Q([_e,ce],ne);var ye=de.data.get(_e.dataId).values,ve=de.data.get(ce.dataId).values,Re=F||_e.dtype,Oe=ue(_e.shape,ce.shape,ye,ve,Re),Fe=Oe[0],Ve=Oe[1];return de.makeTensorInfo(Ve,Re,Fe)}:function(A){var V=A.inputs,oe=A.backend,ee=V,_e=ee.a,ce=ee.b,de=oe;if(_e.dtype==="complex64"||ce.dtype==="complex64"){var ye=ot({inputs:{x:_e},backend:de,attrs:{dtype:"complex64"}}),ve=de.data.get(ye.dataId),Re=ve.complexTensorInfos.real,Oe=ve.complexTensorInfos.imag,Fe=de.data.get(Re.dataId).values,Ve=de.data.get(Oe.dataId).values,Xe=ot({inputs:{x:ce},backend:de,attrs:{dtype:"complex64"}}),rt=de.data.get(Xe.dataId),at=rt.complexTensorInfos.real,$=rt.complexTensorInfos.imag,et=de.data.get(at.dataId).values,gt=de.data.get($.dataId).values,lt=E(_e.shape,ce.shape,Fe,Ve,et,gt),_t=lt[0],At=lt[1],Lt=lt[2],Pt=de.makeTensorInfo(Lt,"float32",_t),Ut=de.makeTensorInfo(Lt,"float32",At),Nt=tt({inputs:{real:Pt,imag:Ut},backend:de});return de.disposeIntermediateTensorInfo(ye),de.disposeIntermediateTensorInfo(Xe),de.disposeIntermediateTensorInfo(Pt),de.disposeIntermediateTensorInfo(Ut),Nt}else{var Kt=de.data.get(_e.dataId).values,Ht=de.data.get(ce.dataId).values,Ot=F||_e.dtype,Rt=ue(_e.shape,ce.shape,Kt,Ht,Ot),wt=Rt[0],Lt=Rt[1];return de.makeTensorInfo(Lt,Ot,wt)}}}function yt(ne){return function(ue,E,F,A,V,oe){var ee=i.backend_util.assertAndGetBroadcastShape(ue,E),_e=i.util.sizeFromShape(ee),ce=ee.length,de=i.util.computeStrides(ee),ye=i.util.getTypedArrayFromDType("float32",_e),ve=i.util.getTypedArrayFromDType("float32",_e),Re=i.backend_util.getBroadcastDims(ue,ee),Oe=i.backend_util.getBroadcastDims(E,ee),Fe=i.backend_util.mergeRealAndImagArrays(F,A),Ve=i.backend_util.mergeRealAndImagArrays(V,oe),Xe=ue.length,rt=i.util.computeStrides(ue),at=E.length,$=i.util.computeStrides(E);if(Re.length+Oe.length===0)for(var et=0;et<ye.length;et++){var gt=et%Fe.length,lt=et%Ve.length,_t=ne(Fe[gt*2],Fe[gt*2+1],Ve[lt*2],Ve[lt*2+1]);ye[et]=_t.real,ve[et]=_t.imag}else for(var At=function(Pt){var Ut=i.util.indexToLoc(Pt,ce,de),Nt=Ut.slice(-Xe);Re.forEach(function(wt){return Nt[wt]=0});var Kt=i.util.locToIndex(Nt,Xe,rt),Ht=Ut.slice(-at);Oe.forEach(function(wt){return Ht[wt]=0});var Ot=i.util.locToIndex(Ht,at,$),Rt=ne(Fe[Kt*2],Fe[Kt*2+1],Ve[Ot*2],Ve[Ot*2+1]);ye[Pt]=Rt.real,ve[Pt]=Rt.imag},et=0;et<ye.length;et++)At(et);return[ye,ve,ee]}}var Zt=nt(function(ne,ue){return ne+ue}),ar=yt(function(ne,ue,E,F){return{real:ne+E,imag:ue+F}}),qt=ut(i.Add,Zt,ar),Ur={kernelName:i.Add,backendName:"cpu",kernelFunc:qt};function jr(ne){return function(ue,E,F){for(var A=i.util.getTypedArrayFromDType(E,ue.length),V=0;V<ue.length;++V)A[V]=ne(ue[V],F);return A}}function _r(ne,ue,E){return function(F){var A=F.inputs,V=F.attrs,oe=F.backend,ee=A.x;if(Q(ee,ne),ee.dtype==="string"||E==="string")throw new Error("unaryKernelFunc does not support string input/output");for(var _e=oe,ce=_e.data.get(ee.dataId).values,de=i.util.sizeFromShape(ee.shape),ye=E||ee.dtype,ve=i.util.getArrayFromDType(ye,de),Re=0;Re<de;++Re)ve[Re]=ue(ce[Re],V);return _e.makeTensorInfo(ee.shape,ye,ve)}}function tr(ne,ue,E){return function(F){var A=F.inputs,V=F.attrs,oe=F.backend,ee=A.x;if(Q(ee,ne),ee.dtype==="string"||E==="string")throw new Error("unaryKernelFunc does not support string input/output");var _e=oe,ce=_e.data.get(ee.dataId).values,de=E||ee.dtype,ye=ue(ce,de,V);return _e.makeTensorInfo(ee.shape,de,ye)}}var Fa=jr(function(ne){return Math.ceil(ne)}),Oa=tr(i.Ceil,Fa),Tn={kernelName:i.Ceil,backendName:"cpu",kernelFunc:Oa},Wa=jr(function(ne){return Math.exp(ne)}),Na=tr(i.Exp,Wa),yn={kernelName:i.Exp,backendName:"cpu",kernelFunc:Na},Ma=jr(function(ne){return Math.expm1(ne)}),li=tr(i.Expm1,Ma),hi={kernelName:i.Expm1,backendName:"cpu",kernelFunc:li},la=jr(function(ne){return Math.floor(ne)}),rn=tr(i.Floor,la),Ca={kernelName:i.Floor,backendName:"cpu",kernelFunc:rn},xn=jr(function(ne){return Math.log(ne)}),Hn=tr(i.Log,xn),_i={kernelName:i.Log,backendName:"cpu",kernelFunc:Hn};function ha(ne,ue,E,F){for(var A=i.util.getTypedArrayFromDType(F,i.util.sizeFromShape(E)),V=0;V<A.length;++V){for(var oe=V*ue,ee=ne[oe],_e=0;_e<ue;++_e){var ce=ne[oe+_e];ce>ee&&(ee=ce)}A[V]=ee}return A}var Ei=nt(function(ne,ue){return ne*ue}),Gn=yt(function(ne,ue,E,F){return{real:ne*E-ue*F,imag:ne*F+ue*E}}),jn=ut(i.Multiply,Ei,Gn),Ua={kernelName:i.Multiply,backendName:"cpu",kernelFunc:jn},ga=nt(function(ne,ue){return ne!==ue?1:0}),wi=ut(i.NotEqual,ga,null,"bool"),Ta={kernelName:i.NotEqual,backendName:"cpu",kernelFunc:wi},on=jr(function(ne){return 1/Math.sqrt(ne)}),_n=tr(i.Rsqrt,on),xa={kernelName:i.Rsqrt,backendName:"cpu",kernelFunc:_n};function Rr(ne,ue,E,F,A){var V=i.slice_util.isSliceContinous(F,ue,E),oe=i.util.sizeFromShape(E),ee=i.util.computeStrides(F);if(V){var _e=i.slice_util.computeFlatOffset(ue,ee);return ne.subarray(_e,_e+oe)}for(var ce=i.util.getTypedArrayFromDType(A,oe),de=0;de<oe;++de){var ye=E.length,ve=i.util.computeStrides(E),Re=i.util.indexToLoc(de,ye,ve),Oe=Re.map(function(Ve,Xe){return Ve+ue[Xe]}),Fe=i.util.locToIndex(Oe,F.length,ee);ce[de]=ne[Fe]}return ce}function ti(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=F.begin,oe=F.size;Q(A,"slice");var ee=i.slice_util.parseSliceParams(A,V,oe),_e=ee[0],ce=ee[1];i.slice_util.assertParamsValid(A,_e,ce);var de=E.data.get(A.dataId).values,ye=Rr(de,_e,ce,A.shape,A.dtype);return E.makeTensorInfo(ce,A.dtype,ye)}var _a={kernelName:i.Slice,backendName:"cpu",kernelFunc:ti},Ri=nt(function(ne,ue){var E=ne-ue;return E*E}),Hi=ut(i.SquaredDifference,Ri),Ai={kernelName:i.SquaredDifference,backendName:"cpu",kernelFunc:Hi},qn=nt(function(ne,ue){return ne-ue}),ri=yt(function(ne,ue,E,F){return{real:ne-E,imag:ue-F}}),pi=ut(i.Sub,qn,ri),pa={kernelName:i.Sub,backendName:"cpu",kernelFunc:pi};function di(ne,ue,E,F,A){for(var V=ue.length,oe=i.util.sizeFromShape(ue),ee=i.util.computeStrides(ue),_e=i.util.computeStrides(A),ce=i.util.getTypedArrayFromDType(E,i.util.sizeFromShape(A)),de=0;de<oe;++de){for(var ye=i.util.indexToLoc(de,V,ee),ve=new Array(ye.length),Re=0;Re<ve.length;Re++)ve[Re]=ye[F[Re]];var Oe=i.util.locToIndex(ve,V,_e);ce[Oe]=ne[de]}return ce}function fi(ne,ue,E,F){for(var A=i.util.parseAxisParam(ue,E)[0],V=[1,E[0],1],oe=0;oe<A;oe++)V[0]*=E[oe];V[1]=E[A];for(var oe=A+1;oe<E.length;oe++)V[2]*=E[oe];for(var ee={},_e=new Int32Array(E[A]),ce=new i.TensorBuffer(V,F,ne),de=[],ye=V[0]===1&&V[2]===1,oe=0;oe<E[A];oe++){var ve=void 0;if(ye)ve=ne[oe].toString();else{for(var Re=[],Oe=0;Oe<V[0];Oe++)for(var Fe=0;Fe<V[2];Fe++)Re.push(ce.get(Oe,oe,Fe));ve=Re.join(",")}if(ee[ve]!==void 0)_e[oe]=ee[ve];else{var Ve=Object.keys(ee).length;ee[ve]=Ve,_e[oe]=Ve,de.push(oe)}}var Xe=V.slice();Xe[1]=Object.keys(ee).length;var rt=new i.TensorBuffer(Xe,F);de.forEach(function($,et){for(var gt=0;gt<V[0];gt++)for(var lt=0;lt<V[2];lt++)rt.set(ce.get(gt,$,lt),gt,et,lt)});var at=E.slice();return at[A]=Xe[1],{outputValues:rt.values,outputShape:at,indices:_e}}var Va={__proto__:null,simpleAbsImpl:ge,addImpl:Zt,ceilImpl:Fa,expImpl:Wa,expm1Impl:Ma,floorImpl:la,logImpl:xn,maxImpl:ha,multiplyImpl:Ei,notEqualImpl:ga,rsqrtImpl:on,sliceImpl:Rr,squaredDifferenceImpl:Ri,subImpl:qn,transposeImpl:di,uniqueImpl:fi},ln="2.7.0";i.registerBackend("cpu",function(){return new w},1);var ni=_r(i.Elu,function(ne){return ne>=0?ne:Math.exp(ne)-1}),gr={kernelName:i.Elu,backendName:"cpu",kernelFunc:ni},Di=nt(function(ne,ue){return ne<0?ue*ne:ne});function bi(ne){var ue=ne.inputs,E=ne.backend,F=ue.x,A=ue.alpha;Q([F,A],"prelu");var V=E.data.get(F.dataId).values,oe=E.data.get(A.dataId).values,ee=Di(F.shape,A.shape,V,oe,F.dtype),_e=ee[0],ce=ee[1];return E.makeTensorInfo(ce,F.dtype,_e)}var ro={kernelName:i.Prelu,backendName:"cpu",kernelFunc:bi},Zn=_r(i.Relu,function(ne){return Math.max(0,ne)}),Gi={kernelName:i.Relu,backendName:"cpu",kernelFunc:Zn},Fi=_r(i.Relu6,function(ne){return Math.min(Math.max(0,ne),6)}),ji={kernelName:i.Relu6,backendName:"cpu",kernelFunc:Fi};function Oi(ne,ue,E,F){if(E==="linear")return Tt({inputs:{x:ue},backend:ne});if(E==="relu")return Zn({inputs:{x:ue},backend:ne});if(E==="elu")return ni({inputs:{x:ue},backend:ne});if(E==="relu6")return Fi({inputs:{x:ue},backend:ne});if(E==="prelu")return bi({inputs:{x:ue,alpha:F},backend:ne});throw new Error("Activation "+E+" has not been implemented for the CPU backend.")}function da(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=F.shape,oe=i.util.sizeFromShape(A.shape),ee=i.util.inferFromImplicitShape(V,oe),_e=i.util.sizeFromShape(ee);i.util.assert(oe===_e,function(){return"The new shape ("+ee+") has "+_e+" elements and the old "+("shape ("+A.shape+") has "+oe+" elements. The new shape and old ")+"shape must have the same number of elements."}),E.incRef(A.dataId);var ce=E.data.get(A.dataId);if(ce.complexTensorInfos!=null){var de=ce.complexTensorInfos.real,ye=ce.complexTensorInfos.imag;de.shape=ee,ye.shape=ee}return{dataId:A.dataId,shape:ee,dtype:A.dtype}}var Mi={kernelName:i.Reshape,backendName:"cpu",kernelFunc:da};function pe(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.a,V=ue.b,oe=F.transposeA,ee=F.transposeB;Q([A,V],"matMul");var _e=A.shape.length,ce=V.shape.length,de=oe?A.shape[_e-2]:A.shape[_e-1],ye=ee?V.shape[ce-1]:V.shape[ce-2],ve=oe?A.shape[_e-1]:A.shape[_e-2],Re=ee?V.shape[ce-2]:V.shape[ce-1],Oe=A.shape.slice(0,-2),Fe=V.shape.slice(0,-2),Ve=i.util.sizeFromShape(Oe),Xe=i.util.sizeFromShape(Fe),rt=Ve===Xe||Ve===1||Xe===1;i.util.assert(_e>=2&&ce>=2&&rt,function(){return"Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input "+("batch dimensions of ("+Oe+") and ("+Fe+").")});var at=Ve>Xe?A.shape.slice(0,-2):V.shape.slice(0,-2),$=at.concat([ve,Re]);i.util.assert(de===ye,function(){return"Error in matMul: inner shapes ("+de+") and ("+(ye+") of Tensors with shapes "+A.shape+" and ")+(V.shape+" and transposeA="+oe)+(" and transposeB="+ee+" must match.")});for(var et=oe?[Ve,de,ve]:[Ve,ve,de],gt=ee?[Xe,Re,ye]:[Xe,ye,Re],lt=da({inputs:{x:A},backend:E,attrs:{shape:et}}),_t=da({inputs:{x:V},backend:E,attrs:{shape:gt}}),At=oe?lt.shape[1]:lt.shape[2],Lt=oe?lt.shape[2]:lt.shape[1],Pt=ee?_t.shape[1]:_t.shape[2],Ut=Math.max(Ve,Xe),Nt=E.data.get(lt.dataId).values,Kt=E.data.get(_t.dataId).values,Ht=i.util.computeStrides(lt.shape),Ot=i.util.computeStrides(_t.shape),Rt=oe?[Ht[0],1,Ht[1]]:[Ht[0],Ht[1],1],wt=Rt[0],Et=Rt[1],Vt=Rt[2],jt=ee?[1,Ot[1],Ot[0]]:[Ot[1],1,Ot[0]],cr=jt[0],rr=jt[1],Ie=jt[2],br=Lt*Pt,Nr=i.buffer([Ut,Lt,Pt],lt.dtype),Tr=Nr.values,hr=E.blockSize,Dr=0;Dr<Ut;Dr++)for(var fr=0;fr<Lt;fr+=hr)for(var Er=0;Er<Pt;Er+=hr)for(var an=0;an<At;an+=hr)for(var wn=Math.min(fr+hr,Lt),ie=Math.min(Er+hr,Pt),Nn=Math.min(an+hr,At),bn=fr;bn<wn;bn++)for(var Ee=Er;Ee<ie;Ee++){for(var Bn=0,Pn=an;Pn<Nn;Pn++){var Da=Math.min(Dr,Ve-1)*wt,Dn=Math.min(Dr,Xe-1)*Ie,Ya=Nt[Da+bn*Et+Pn*Vt],za=Kt[Pn*cr+Ee*rr+Dn];Bn+=Ya*za}Tr[Dr*br+(bn*Pt+Ee)]+=Bn}return E.disposeIntermediateTensorInfo(lt),E.disposeIntermediateTensorInfo(_t),E.makeTensorInfo($,Nr.dtype,Nr.values)}var X={kernelName:i.BatchMatMul,backendName:"cpu",kernelFunc:pe};function j(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.a,V=ue.b,oe=ue.bias,ee=ue.preluActivationWeights,_e=F.transposeA,ce=F.transposeB,de=F.activation,ye,ve,Re,Oe=[],Fe=pe({inputs:{a:A,b:V},attrs:{transposeA:_e,transposeB:ce},backend:E});ye=Fe,oe&&(ve=qt({inputs:{a:ye,b:oe},backend:E}),Oe.push(ye),ye=ve),de&&(Re=Oi(E,ye,de,ee),Oe.push(ye),ye=Re);for(var Ve=0,Xe=Oe;Ve<Xe.length;Ve++){var rt=Xe[Ve];E.disposeIntermediateTensorInfo(rt)}return ye}var re={kernelName:i._FusedMatMul,backendName:"cpu",kernelFunc:j},te=_r(i.Acos,function(ne){return Math.acos(ne)}),Ue={kernelName:i.Acos,backendName:"cpu",kernelFunc:te},kt=_r(i.Acosh,function(ne){return Math.acosh(ne)}),$e={kernelName:i.Acosh,backendName:"cpu",kernelFunc:kt},Le=_r(i.Asin,function(ne){return Math.asin(ne)}),Ye={kernelName:i.Asin,backendName:"cpu",kernelFunc:Le},Ft=_r(i.Asinh,function(ne){return Math.asinh(ne)}),St={kernelName:i.Asinh,backendName:"cpu",kernelFunc:Ft},Mt=_r(i.Atan,function(ne){return Math.atan(ne)}),dr={kernelName:i.Atan,backendName:"cpu",kernelFunc:Mt},ir=_r(i.Atanh,function(ne){return Math.atanh(ne)}),ta={kernelName:i.Atanh,backendName:"cpu",kernelFunc:ir};function fa(ne,ue,E,F,A,V){for(var oe=A.strideHeight,ee=A.strideWidth,_e=A.dilationHeight,ce=A.dilationWidth,de=A.effectiveFilterHeight,ye=A.effectiveFilterWidth,ve=A.padInfo.top,Re=A.padInfo.left,Oe=V==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,Fe=i.buffer(A.outShape,E),Ve=Fe.values,Xe=A.outShape[1]*A.outShape[2]*A.outShape[3],rt=A.outShape[2]*A.outShape[3],at=A.outShape[3],$=0;$<A.batchSize;++$)for(var et=$*Xe,gt=$*F[0],lt=0;lt<A.inChannels;++lt)for(var _t=0;_t<A.outHeight;++_t)for(var At=_t*oe-ve,Lt=Math.max(0,At),Pt=Math.min(A.inHeight,de+At),Ut=et+_t*rt,Nt=0;Nt<A.outWidth;++Nt){for(var Kt=Nt*ee-Re,Ht=Math.max(0,Kt),Ot=Math.min(A.inWidth,ye+Kt),Rt=Oe,wt=0,Et=0,Vt=Lt;Vt<Pt;Vt+=_e){for(var jt=gt+Vt*F[1],cr=Ht;cr<Ot;cr+=ce){var rr=jt+cr*F[2],Ie=ne[rr+lt];V==="max"&&Ie>Rt?Rt=Ie:V==="avg"&&(wt+=Ie,Et++)}if(isNaN(Rt))break}var br=Ut+Nt*at+lt;Ve[br]=V==="avg"?wt/Et:Rt}return Fe}function ra(ne,ue,E,F,A,V){A===void 0&&(A=!1),V===void 0&&(V=!1);for(var oe=i.buffer(F.outShape,"int32"),ee=F.strideHeight,_e=F.strideWidth,ce=F.dilationHeight,de=F.dilationWidth,ye=F.effectiveFilterHeight,ve=F.effectiveFilterWidth,Re=F.padInfo.top,Oe=F.padInfo.left,Fe=i.buffer(ue,E,ne),Ve=0;Ve<F.batchSize;++Ve)for(var Xe=0;Xe<F.inChannels;++Xe)for(var rt=0;rt<F.outHeight;++rt){for(var at=rt*ee-Re,$=at;$<0;)$+=ce;for(var et=Math.min(F.inHeight,ye+at),gt=0;gt<F.outWidth;++gt){for(var lt=gt*_e-Oe,_t=lt;_t<0;)_t+=de;for(var At=Math.min(F.inWidth,ve+lt),Lt=Number.NEGATIVE_INFINITY,Pt=-1,Ut=$;Ut<et;Ut+=ce)for(var Nt=Ut-at,Kt=_t;Kt<At;Kt+=de){var Ht=Kt-lt,Ot=Fe.get(Ve,Ut,Kt,Xe);Ot>Lt&&(Lt=Ot,A?Pt=V?((Ve*F.inHeight+Ut)*F.inWidth+Kt)*F.inChannels+Xe:(Ut*F.inWidth+Kt)*F.inChannels+Xe:Pt=Nt*ve+Ht)}oe.set(Pt,Ve,rt,gt,Xe)}}return oe}function Ha(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x;Q(A,"avgPool");var V=F.filterSize,oe=F.strides,ee=F.pad,_e=F.dimRoundingMode,ce=1;i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(oe,ce),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+oe+" and dilations '"+ce+"'")});var de=i.backend_util.computePool2DInfo(A.shape,V,oe,ce,ee,_e),ye;if(de.filterWidth===1&&de.filterHeight===1&&i.util.arraysEqual(de.inShape,de.outShape))ye=Tt({inputs:{x:A},backend:E});else{var ve=E.data.get(A.dataId).values,Re=i.util.computeStrides(A.shape),Oe=fa(ve,A.shape,A.dtype,Re,de,"avg");ye=E.makeTensorInfo(de.outShape,A.dtype,Oe.values)}return ye}var ki={kernelName:i.AvgPool,backendName:"cpu",kernelFunc:Ha};function sn(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.dy,V=ue.input,oe=V;Q([A,V],"avgPoolBackprop");for(var ee=F.filterSize,_e=F.strides,ce=F.pad,de=i.backend_util.computePool2DInfo(oe.shape,ee,_e,1,ce),ye=de.strideHeight,ve=de.strideWidth,Re=de.filterHeight,Oe=de.filterWidth,Fe=de.dilationHeight,Ve=de.dilationWidth,Xe=de.effectiveFilterHeight,rt=de.effectiveFilterWidth,at=rt-1-de.padInfo.left,$=Xe-1-de.padInfo.top,et=i.buffer(oe.shape,"float32"),gt=1/(Re*Oe),lt=E.data.get(A.dataId).values,_t=i.buffer(A.shape,"float32",lt),At=0;At<de.batchSize;++At)for(var Lt=0;Lt<de.inChannels;++Lt)for(var Pt=0;Pt<de.inHeight;++Pt)for(var Ut=0;Ut<de.inWidth;++Ut){for(var Nt=Pt-$,Kt=Ut-at,Ht=0,Ot=0;Ot<Xe;Ot+=Fe){var Rt=(Nt+Ot)/ye;if(Rt<0||Rt>=de.outHeight||Math.floor(Rt)!==Rt)continue;for(var wt=0;wt<rt;wt+=Ve){var Et=(Kt+wt)/ve;if(Et<0||Et>=de.outWidth||Math.floor(Et)!==Et)continue;var Vt=_t.get(At,Rt,Et,Lt);Ht+=Vt}}et.set(Ht*gt,At,Pt,Ut,Lt)}return E.makeTensorInfo(et.shape,et.dtype,et.values)}var hn={kernelName:i.AvgPoolBackprop,backendName:"cpu",kernelFunc:sn};function na(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.scale,oe=ue.offset,ee=ue.mean,_e=ue.variance;i.util.assert(ee.shape.length===_e.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),i.util.assert(oe==null||ee.shape.length===oe.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),i.util.assert(V==null||ee.shape.length===V.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),Q([A,ee,_e,V,oe],"batchNorm");var ce=F.varianceEpsilon;ce==null&&(ce=.001);for(var de=E.data.get(A.dataId).values,ye=E.data.get(ee.dataId).values,ve=E.data.get(_e.dataId).values,Re=V?E.data.get(V.dataId).values:new Float32Array([1]),Oe=oe?E.data.get(oe.dataId).values:new Float32Array([0]),Fe=new Float32Array(de.length),Ve=Oe.length,Xe=Re.length,rt=ve.length,at=ye.length,$=0,et=0,gt=0,lt=0,_t=0;_t<de.length;++_t)Fe[_t]=Oe[$++]+(de[_t]-ye[et++])*Re[gt++]/Math.sqrt(ve[lt++]+ce),$>=Ve&&($=0),et>=at&&(et=0),gt>=Xe&&(gt=0),lt>=rt&&(lt=0);return E.makeTensorInfo(A.shape,A.dtype,Fe)}var Jr={kernelName:i.FusedBatchNorm,backendName:"cpu",kernelFunc:na},Vr=_r(i.ClipByValue,function(ne,ue){var E=ue;return ne>E.clipValueMax?E.clipValueMax:ne<E.clipValueMin?E.clipValueMin:ne}),Jn={kernelName:i.ClipByValue,backendName:"cpu",kernelFunc:Vr};function tn(ne){var ue=ne.inputs,E=ne.backend,F=ue.input,A=E.data.get(F.dataId).complexTensorInfos.imag,V=E.data.get(A.dataId).values;return E.makeTensorInfo(A.shape,A.dtype,V)}var Rn={kernelName:i.Imag,backendName:"cpu",kernelFunc:tn};function Kn(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=F.axis,V=i.util.parseAxisParam(A,ue[0].shape)[0],oe=i.backend_util.computeOutShape(ue.map(function($){return $.shape}),V);if(i.util.sizeFromShape(oe)===0)return E.makeTensorInfo(oe,ue[0].dtype,[]);var ee=ue.filter(function($){return i.util.sizeFromShape($.shape)>0});if(ee.length===1)return ee[0];var _e=ee.map(function($){return $.shape});if(i.backend_util.assertParamsConsistent(_e,V),ee[0].dtype==="complex64"){var ce=ee.map(function($){return it({inputs:{input:$},backend:E})}),de=ee.map(function($){return tn({inputs:{input:$},backend:E})}),ye=Kn({inputs:ce,backend:E,attrs:{axis:V}}),ve=Kn({inputs:de,backend:E,attrs:{axis:V}}),Re=tt({inputs:{real:ye,imag:ve},backend:E});return ce.forEach(function($){return E.disposeIntermediateTensorInfo($)}),de.forEach(function($){return E.disposeIntermediateTensorInfo($)}),E.disposeIntermediateTensorInfo(ye),E.disposeIntermediateTensorInfo(ve),Re}var Oe=ee.map(function($){var et=i.util.sizeFromShape($.shape.slice(V)),gt=[-1,et];return da({inputs:{x:$},backend:E,attrs:{shape:gt}})});oe=i.backend_util.computeOutShape(Oe.map(function($){return $.shape}),1);var Fe=i.util.getTypedArrayFromDType(ee[0].dtype,i.util.sizeFromShape(oe));if(Oe[0].shape[0]===1){var Ve=0;Oe.forEach(function($){var et=E.data.get($.dataId).values,gt=i.util.sizeFromShape($.shape);Fe.set(et,Ve),Ve+=gt})}else{var Xe=0;Oe.forEach(function($){for(var et=E.data.get($.dataId).values,gt=0,lt=0;lt<$.shape[0];++lt)for(var _t=lt*oe[1]+Xe,At=0;At<$.shape[1];++At)Fe[_t+At]=et[gt++];Xe+=$.shape[1]})}var rt=i.backend_util.computeOutShape(ee.map(function($){return $.shape}),V),at=E.makeTensorInfo(rt,ue[0].dtype,Fe);return Oe.forEach(function($){return E.disposeIntermediateTensorInfo($)}),at}var aa={kernelName:i.Concat,backendName:"cpu",kernelFunc:Kn};function ma(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.filter,oe=F.strides,ee=F.pad,_e=F.dataFormat,ce=F.dilations,de=F.dimRoundingMode;Q([A,V],"conv2d");for(var ye=i.backend_util.convertConv2DDataFormat(_e),ve=i.backend_util.computeConv2DInfo(A.shape,V.shape,oe,ce,ee,de,!1,ye),Re=ve.filterHeight,Oe=ve.filterWidth,Fe=ve.dilationHeight,Ve=ve.dilationWidth,Xe=ve.padInfo.left,rt=ve.padInfo.top,at=ve.dataFormat==="channelsLast",$=new i.TensorBuffer(ve.outShape,A.dtype),et=i.util.computeStrides(A.shape),gt=i.util.computeStrides(V.shape),lt=et[0],_t=at?et[1]:et[2],At=at?et[2]:1,Lt=at?1:et[1],Pt=$.strides[0],Ut=at?$.strides[1]:$.strides[2],Nt=at?$.strides[2]:1,Kt=at?1:$.strides[1],Ht=E.data.get(A.dataId).values,Ot=E.data.get(V.dataId).values,Rt=$.values,wt=0;wt<ve.batchSize;++wt)for(var Et=wt*lt,Vt=wt*Pt,jt=0;jt<ve.outHeight;++jt)for(var cr=Vt+jt*Ut,rr=jt*ve.strideHeight-rt,Ie=0;Ie<Re;++Ie){var br=rr+Ie*Fe;if(br<0||br>=ve.inHeight)continue;for(var Nr=Ie*gt[0],Tr=Et+br*_t,hr=0;hr<ve.outWidth;++hr)for(var Dr=cr+hr*Nt,fr=hr*ve.strideWidth-Xe,Er=0;Er<Oe;++Er){var an=fr+Er*Ve;if(an<0||an>=ve.inWidth)continue;for(var wn=Nr+Er*gt[1],ie=Tr+an*At,Nn=wn,bn=0;bn<ve.inChannels;++bn){for(var Ee=Ht[ie+bn*Lt],Bn=0;Bn<ve.outChannels;++Bn)Rt[Dr+Bn*Kt]+=Ee*Ot[Nn+Bn];Nn+=ve.outChannels}}}return E.makeTensorInfo($.shape,$.dtype,Rt)}var Li={kernelName:i.Conv2D,backendName:"cpu",kernelFunc:ma};function Ea(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.dy,oe=F.strides,ee=F.pad,_e=F.dataFormat,ce=F.dimRoundingMode,de=F.filterShape;Q([A,V],"conv2dBackpropFilter");for(var ye=i.backend_util.convertConv2DDataFormat(_e),ve=i.backend_util.computeConv2DInfo(A.shape,de,oe,1,ee,ce,!1,ye),Re=ve.strideHeight,Oe=ve.strideWidth,Fe=ve.filterHeight,Ve=ve.filterWidth,Xe=ve.dataFormat==="channelsLast",rt=new i.TensorBuffer(ve.filterShape,"float32"),at=ve.padInfo.left,$=ve.padInfo.top,et=E.data.get(A.dataId).values,gt=E.data.get(V.dataId).values,lt=new i.TensorBuffer(A.shape,A.dtype,et),_t=new i.TensorBuffer(V.shape,V.dtype,gt),At=0;At<Fe;++At)for(var Lt=Math.max(0,Math.ceil(($-At)/Re)),Pt=Math.min(ve.outHeight,(ve.inHeight+$-At)/Re),Ut=0;Ut<Ve;++Ut)for(var Nt=Math.max(0,Math.ceil((at-Ut)/Oe)),Kt=Math.min(ve.outWidth,(ve.inWidth+at-Ut)/Oe),Ht=0;Ht<ve.inChannels;++Ht)for(var Ot=0;Ot<ve.outChannels;++Ot){for(var Rt=0,wt=0;wt<ve.batchSize;++wt)for(var Et=Lt;Et<Pt;++Et)for(var Vt=At+Et*Re-$,jt=Nt;jt<Kt;++jt){var cr=Ut+jt*Oe-at;Xe?Rt+=lt.get(wt,Vt,cr,Ht)*_t.get(wt,Et,jt,Ot):Rt+=lt.get(wt,Ht,Vt,cr)*_t.get(wt,Ot,Et,jt)}rt.set(Rt,At,Ut,Ht,Ot)}return E.makeTensorInfo(rt.shape,rt.dtype,rt.values)}var S={kernelName:i.Conv2DBackpropFilter,backendName:"cpu",kernelFunc:Ea};function x(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.dy,V=ue.filter,oe=F.inputShape,ee=F.strides,_e=F.pad,ce=F.dataFormat,de=F.dimRoundingMode;Q([A,V],"conv2dBackpropInput");var ye=i.util.computeStrides(V.shape),ve=i.util.computeStrides(A.shape),Re=i.backend_util.convertConv2DDataFormat(ce),Oe=i.backend_util.computeConv2DInfo(oe,V.shape,ee,1,_e,de,!1,Re),Fe=new i.TensorBuffer(Oe.inShape,"float32"),Ve=Fe.values,Xe=E.data.get(A.dataId).values,rt=E.data.get(V.dataId).values,at=ye[0],$=ye[1],et=ye[2],gt=Oe.batchSize,lt=Oe.filterHeight,_t=Oe.filterWidth,At=Oe.inChannels,Lt=Oe.inHeight,Pt=Oe.inWidth,Ut=Oe.outChannels,Nt=Oe.outHeight,Kt=Oe.outWidth,Ht=Oe.strideHeight,Ot=Oe.strideWidth;Re=Oe.dataFormat;for(var Rt=lt-1-Oe.padInfo.top,wt=_t-1-Oe.padInfo.left,Et=Re==="channelsLast",Vt=Fe.strides[0],jt=Et?Fe.strides[1]:Fe.strides[2],cr=Et?Fe.strides[2]:1,rr=Et?1:Fe.strides[1],Ie=ve[0],br=Et?ve[1]:ve[2],Nr=Et?ve[2]:1,Tr=Et?1:ve[1],hr=0;hr<gt;++hr)for(var Dr=0;Dr<At;++Dr)for(var fr=0;fr<Lt;++fr)for(var Er=fr-Rt,an=Math.max(0,Math.ceil(Er/Ht)),wn=Math.min(Nt,(lt+Er)/Ht),ie=0;ie<Pt;++ie){for(var Nn=ie-wt,bn=Math.max(0,Math.ceil(Nn/Ot)),Ee=Math.min(Kt,(_t+Nn)/Ot),Bn=0,Pn=an;Pn<wn;++Pn)for(var Da=Pn*Ht-Er,Dn=bn;Dn<Ee;++Dn)for(var Ya=Dn*Ot-Nn,za=Ie*hr+br*Pn+Nr*Dn,Qa=at*(lt-1-Da)+$*(_t-1-Ya)+et*Dr,ya=0;ya<Ut;++ya){var va=Xe[za+Tr*ya],Yi=rt[Qa+ya];Bn+=va*Yi}var Wi=Vt*hr+jt*fr+cr*ie+rr*Dr;Ve[Wi]=Bn}return E.makeTensorInfo(Fe.shape,Fe.dtype,Fe.values)}var k={kernelName:i.Conv2DBackpropInput,backendName:"cpu",kernelFunc:x};function K(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.filter,oe=F.strides,ee=F.pad,_e=F.dilations;Q([A,V],"conv3d");for(var ce=i.backend_util.computeConv3DInfo(A.shape,V.shape,oe,_e,ee),de=ce.filterDepth,ye=ce.filterHeight,ve=ce.filterWidth,Re=ce.dilationDepth,Oe=ce.dilationHeight,Fe=ce.dilationWidth,Ve=ce.padInfo,Xe=Ve.front,rt=Ve.left,at=Ve.top,$=new i.TensorBuffer(ce.outShape,A.dtype),et=E.data.get(A.dataId).values,gt=E.data.get(V.dataId).values,lt=$.values,_t=i.util.computeStrides(A.shape),At=i.util.computeStrides(V.shape),Lt=0;Lt<ce.batchSize;++Lt)for(var Pt=Lt*_t[0],Ut=Lt*$.strides[0],Nt=0;Nt<ce.outDepth;++Nt)for(var Kt=Ut+Nt*$.strides[1],Ht=Nt*ce.strideDepth-Xe,Ot=0;Ot<de;++Ot){var Rt=Ht+Ot*Re;if(Rt<0||Rt>=ce.inDepth)continue;for(var wt=Ot*At[0],Et=Pt+Rt*_t[1],Vt=0;Vt<ce.outHeight;++Vt)for(var jt=Kt+Vt*$.strides[2],cr=Vt*ce.strideHeight-at,rr=0;rr<ye;++rr){var Ie=cr+rr*Oe;if(Ie<0||Ie>=ce.inHeight)continue;for(var br=wt+rr*At[1],Nr=Et+Ie*_t[2],Tr=0;Tr<ce.outWidth;++Tr)for(var hr=jt+Tr*ce.outChannels,Dr=Tr*ce.strideWidth-rt,fr=0;fr<ve;++fr){var Er=Dr+fr*Fe;if(Er<0||Er>=ce.inWidth)continue;for(var an=br+fr*At[2],wn=Nr+Er*ce.inChannels,ie=an,Nn=0;Nn<ce.inChannels;++Nn){for(var bn=et[wn+Nn],Ee=0;Ee<ce.outChannels;++Ee)lt[hr+Ee]+=bn*gt[ie+Ee];ie+=ce.outChannels}}}}return E.makeTensorInfo($.shape,$.dtype,$.values)}var Se={kernelName:i.Conv3D,backendName:"cpu",kernelFunc:K};function we(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.dy,oe=F.strides,ee=F.pad,_e=F.filterShape;Q([A,V],"conv3dBackpropFilterV2");for(var ce=i.util.computeStrides(A.shape),de=i.util.computeStrides(V.shape),ye=i.backend_util.computeConv3DInfo(A.shape,_e,oe,1,ee),ve=ye.strideDepth,Re=ye.strideHeight,Oe=ye.strideWidth,Fe=ye.filterDepth,Ve=ye.filterHeight,Xe=ye.filterWidth,rt=new i.TensorBuffer(ye.filterShape,"float32"),at=rt.values,$=rt.strides,et=$[0],gt=$[1],lt=$[2],_t=$[3],At=E.data.get(V.dataId).values,Lt=de[0],Pt=de[1],Ut=de[2],Nt=de[3],Kt=E.data.get(A.dataId).values,Ht=ce[0],Ot=ce[1],Rt=ce[2],wt=ce[3],Et=ye.padInfo.front,Vt=ye.padInfo.left,jt=ye.padInfo.top,cr=0;cr<Fe;++cr)for(var rr=Math.max(0,Math.ceil((Et-cr)/ve)),Ie=Math.min(ye.outDepth,(ye.inDepth+Et-cr)/ve),br=cr*et,Nr=0;Nr<Ve;++Nr)for(var Tr=Math.max(0,Math.ceil((jt-Nr)/Re)),hr=Math.min(ye.outHeight,(ye.inHeight+jt-Nr)/Re),Dr=Nr*gt+br,fr=0;fr<Xe;++fr)for(var Er=Math.max(0,Math.ceil((Vt-fr)/Oe)),an=Math.min(ye.outWidth,(ye.inWidth+Vt-fr)/Oe),wn=fr*lt+Dr,ie=0;ie<ye.inChannels;++ie)for(var Nn=ie*_t+wn,bn=0;bn<ye.outChannels;++bn){for(var Ee=0,Bn=0;Bn<ye.batchSize;++Bn)for(var Pn=Bn*Ht,Da=Bn*Lt,Dn=rr;Dn<Ie;++Dn)for(var Ya=cr+Dn*ve-Et,za=Ya*Ot+Pn,Qa=Dn*Pt+Da,ya=Tr;ya<hr;++ya)for(var va=Nr+ya*Re-jt,Yi=va*Rt+za,Wi=ya*Ut+Qa,Or=Er;Or<an;++Or){var Za=fr+Or*Oe-Vt,rs=Za*wt+Yi,Po=Or*Nt+Wi;Ee+=Kt[rs+ie]*At[Po+bn]}at[Nn+bn]=Ee}return E.makeTensorInfo(rt.shape,rt.dtype,rt.values)}var Je={kernelName:i.Conv3DBackpropFilterV2,backendName:"cpu",kernelFunc:we};function Be(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.dy,V=ue.filter,oe=F.pad,ee=F.strides,_e=F.inputShape;Q([A],"conv3dBackpropInputV2");for(var ce=i.util.computeStrides(A.shape),de=i.util.computeStrides(V.shape),ye=i.backend_util.computeConv3DInfo(_e,V.shape,ee,1,oe),ve=new i.TensorBuffer(ye.inShape,"float32"),Re=ve.values,Oe=ve.strides,Fe=Oe[0],Ve=Oe[1],Xe=Oe[2],rt=Oe[3],at=E.data.get(A.dataId).values,$=ce[0],et=ce[1],gt=ce[2],lt=ce[3],_t=E.data.get(V.dataId).values,At=de[0],Lt=de[1],Pt=de[2],Ut=de[3],Nt=ye.batchSize,Kt=ye.filterDepth,Ht=ye.filterHeight,Ot=ye.filterWidth,Rt=ye.inChannels,wt=ye.inDepth,Et=ye.inHeight,Vt=ye.inWidth,jt=ye.outChannels,cr=ye.outDepth,rr=ye.outHeight,Ie=ye.outWidth,br=ye.strideDepth,Nr=ye.strideHeight,Tr=ye.strideWidth,hr=Kt-1-ye.padInfo.front,Dr=Ht-1-ye.padInfo.top,fr=Ot-1-ye.padInfo.left,Er=0;Er<Nt;++Er)for(var an=0;an<Rt;++an)for(var wn=0;wn<wt;++wn)for(var ie=wn-hr,Nn=Math.max(0,Math.ceil(ie/br)),bn=Math.min(cr,(Kt+ie)/br),Ee=0;Ee<Et;++Ee)for(var Bn=Ee-Dr,Pn=Math.max(0,Math.ceil(Bn/Nr)),Da=Math.min(rr,(Ht+Bn)/Nr),Dn=0;Dn<Vt;++Dn){for(var Ya=Dn-fr,za=Math.max(0,Math.ceil(Ya/Tr)),Qa=Math.min(Ie,(Ot+Ya)/Tr),ya=0,va=Nn;va<bn;++va)for(var Yi=va*br-ie,Wi=Pn;Wi<Da;++Wi)for(var Or=Wi*Nr-Bn,Za=za;Za<Qa;++Za)for(var rs=Za*Tr-Ya,Po=$*Er+et*va+gt*Wi+lt*Za,dn=At*(Kt-1-Yi)+Lt*(Ht-1-Or)+Pt*(Ot-1-rs)+Ut*an,Bo=0;Bo<jt;++Bo){var Fn=at[Po+Bo],su=_t[dn+Bo];ya+=Fn*su}Re[Fe*Er+Ve*wn+Xe*Ee+rt*Dn+an]=ya}return E.makeTensorInfo(ve.shape,ve.dtype,ve.values)}var vt={kernelName:i.Conv3DBackpropInputV2,backendName:"cpu",kernelFunc:Be},ft=_r(i.Cos,function(ne){return Math.cos(ne)}),zt={kernelName:i.Cos,backendName:"cpu",kernelFunc:ft},Wt=_r(i.Cosh,function(ne){return Math.cosh(ne)}),Gt={kernelName:i.Cosh,backendName:"cpu",kernelFunc:Wt};function Qt(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.filter,oe=F.strides,ee=F.pad,_e=F.dilations,ce=F.dimRoundingMode;Q([A,V],"depthwiseConv2DNative");var de=i.util.computeStrides(A.shape),ye=i.util.computeStrides(V.shape),ve=_e;ve==null&&(ve=[1,1]),i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(oe,ve),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+("1. Got strides "+oe+" and dilations '"+ve+"'")});for(var Re=i.backend_util.computeConv2DInfo(A.shape,V.shape,oe,ve,ee,ce,!0),Oe=Re.filterHeight,Fe=Re.filterWidth,Ve=Re.dilationHeight,Xe=Re.dilationWidth,rt=Re.padInfo,at=rt.left,$=rt.top,et=Re.outChannels/Re.inChannels,gt=new i.TensorBuffer(Re.outShape,A.dtype),lt=E.data.get(A.dataId).values,_t=E.data.get(V.dataId).values,At=gt.values,Lt=0;Lt<Re.batchSize;++Lt)for(var Pt=Lt*de[0],Ut=Lt*gt.strides[0],Nt=0;Nt<Re.outHeight;++Nt)for(var Kt=Ut+Nt*gt.strides[1],Ht=Nt*Re.strideHeight-at,Ot=0;Ot<Oe;++Ot){var Rt=Ht+Ot*Ve;if(Rt<0||Rt>=Re.inHeight)continue;for(var wt=Ot*ye[0],Et=Pt+Rt*de[1],Vt=0;Vt<Re.outWidth;++Vt)for(var jt=Kt+Vt*gt.strides[2],cr=Vt*Re.strideWidth-$,rr=0;rr<Fe;++rr){var Ie=cr+rr*Xe;if(Ie<0||Ie>=Re.inWidth)continue;for(var br=wt+rr*ye[1],Nr=Et+Ie*Re.inChannels,Tr=jt,hr=br,Dr=0;Dr<Re.inChannels;++Dr){for(var fr=lt[Nr+Dr],Er=0;Er<et;++Er)At[Tr+Er]+=fr*_t[hr+Er];Tr+=et,hr+=et}}}return E.makeTensorInfo(gt.shape,gt.dtype,gt.values)}var wr={kernelName:i.DepthwiseConv2dNative,backendName:"cpu",kernelFunc:Qt};function Ar(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.dy,oe=F.strides,ee=F.dilations,_e=F.pad,ce=F.dimRoundingMode,de=F.filterShape;Q([A,V],"depthwiseConv2dNativeBackpropFilter");for(var ye=i.backend_util.computeConv2DInfo(A.shape,de,oe,ee,_e,ce,!0),ve=ye.strideHeight,Re=ye.strideWidth,Oe=ye.filterHeight,Fe=ye.filterWidth,Ve=new i.TensorBuffer(ye.filterShape,"float32"),Xe=ye.padInfo.left,rt=ye.padInfo.top,at=ye.outChannels/ye.inChannels,$=E.data.get(A.dataId).values,et=new i.TensorBuffer(A.shape,A.dtype,$),gt=E.data.get(V.dataId).values,lt=new i.TensorBuffer(V.shape,V.dtype,gt),_t=0;_t<Oe;++_t)for(var At=Math.max(0,Math.ceil((rt-_t)/ve)),Lt=Math.min(ye.outHeight,(ye.inHeight+rt-_t)/ve),Pt=0;Pt<Fe;++Pt)for(var Ut=Math.max(0,Math.ceil((Xe-Pt)/Re)),Nt=Math.min(ye.outWidth,(ye.inWidth+Xe-Pt)/Re),Kt=0;Kt<ye.outChannels;++Kt){for(var Ht=Math.trunc(Kt/at),Ot=Kt%at,Rt=0,wt=0;wt<ye.batchSize;++wt)for(var Et=At;Et<Lt;++Et)for(var Vt=_t+Et*ve-rt,jt=Ut;jt<Nt;++jt){var cr=Pt+jt*Re-Xe;Rt+=et.get(wt,Vt,cr,Ht)*lt.get(wt,Et,jt,Kt)}Ve.set(Rt,_t,Pt,Ht,Ot)}return E.makeTensorInfo(Ve.shape,Ve.dtype,Ve.values)}var Yt={kernelName:i.DepthwiseConv2dNativeBackpropFilter,backendName:"cpu",kernelFunc:Ar};function xr(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.dy,V=ue.filter,oe=F.strides,ee=F.dilations,_e=F.pad,ce=F.dimRoundingMode,de=F.inputShape;Q([A,V],"depthwiseConv2DNativeBackpropInput");for(var ye=i.util.computeStrides(A.shape),ve=i.util.computeStrides(V.shape),Re=i.backend_util.computeConv2DInfo(de,V.shape,oe,ee,_e,ce,!0),Oe=new i.TensorBuffer(Re.inShape,"float32"),Fe=Oe.values,Ve=Oe.strides,Xe=Ve[0],rt=Ve[1],at=Ve[2],$=E.data.get(A.dataId).values,et=ye[0],gt=ye[1],lt=ye[2],_t=E.data.get(V.dataId).values,At=ve[0],Lt=ve[1],Pt=ve[2],Ut=Re.batchSize,Nt=Re.filterHeight,Kt=Re.filterWidth,Ht=Re.inChannels,Ot=Re.inHeight,Rt=Re.inWidth,wt=Re.outChannels,Et=Re.outHeight,Vt=Re.outWidth,jt=Re.strideHeight,cr=Re.strideWidth,rr=Nt-1-Re.padInfo.top,Ie=Kt-1-Re.padInfo.left,br=wt/Ht,Nr=0;Nr<Ut;++Nr)for(var Tr=0;Tr<Ht;++Tr)for(var hr=0;hr<Ot;++hr)for(var Dr=hr-rr,fr=Math.max(0,Math.ceil(Dr/jt)),Er=Math.min(Et,(Nt+Dr)/jt),an=0;an<Rt;++an){for(var wn=an-Ie,ie=Math.max(0,Math.ceil(wn/cr)),Nn=Math.min(Vt,(Kt+wn)/cr),bn=0,Ee=fr;Ee<Er;++Ee)for(var Bn=Ee*jt-Dr,Pn=ie;Pn<Nn;++Pn)for(var Da=Pn*cr-wn,Dn=et*Nr+gt*Ee+lt*Pn,Ya=At*(Nt-1-Bn)+Lt*(Kt-1-Da)+Pt*Tr,za=0;za<br;++za){var Qa=Tr*br+za,ya=$[Dn+Qa],va=_t[Ya+za];bn+=ya*va}Fe[Xe*Nr+rt*hr+at*an+Tr]=bn}return E.makeTensorInfo(Oe.shape,Oe.dtype,Oe.values)}var Sn={kernelName:i.DepthwiseConv2dNativeBackpropInput,backendName:"cpu",kernelFunc:xr},pn={kernelName:i.Dilation2D,backendName:"cpu",kernelFunc:function(ne){for(var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue,V=A.x,oe=A.filter,ee=F,_e=ee.strides,ce=ee.pad,de=ee.dilations,ye=E,ve=ye.data.get(V.dataId).values,Re=V.shape.length,Oe=ye.data.get(oe.dataId).values,Fe=oe.shape.length,Ve=i.backend_util.computeDilation2DInfo(V.shape,oe.shape,_e,ce,"NHWC",de),Xe=Ve.batchSize,rt=Ve.inHeight,at=Ve.inWidth,$=Ve.inChannels,et=Ve.outHeight,gt=Ve.outWidth,lt=Ve.padInfo,_t=Ve.strideHeight,At=Ve.strideWidth,Lt=Ve.filterHeight,Pt=Ve.filterWidth,Ut=Ve.dilationHeight,Nt=Ve.dilationWidth,Kt=Ve.outShape,Ht=i.util.sizeFromShape(Kt),Ot=Kt.length,Rt=i.util.getArrayFromDType(V.dtype,Ht),wt=0;wt<Xe;++wt)for(var Et=0;Et<et;++Et)for(var Vt=Et*_t-lt.top,jt=0;jt<gt;++jt)for(var cr=jt*At-lt.left,rr=0;rr<$;++rr){for(var Ie=Number.MIN_SAFE_INTEGER,br=0;br<Lt;++br){var Nr=Vt+br*Ut;if(Nr>=0&&Nr<rt)for(var Tr=0;Tr<Pt;++Tr){var hr=cr+Tr*Nt;if(hr>=0&&hr<at){var Dr=i.util.locToIndex([wt,Nr,hr,rr],Re,i.util.computeStrides(V.shape)),fr=i.util.locToIndex([br,Tr,rr],Fe,i.util.computeStrides(oe.shape)),Er=ve[Dr]+Oe[fr];Er>Ie&&(Ie=Er)}}}var an=i.util.locToIndex([wt,Et,jt,rr],Ot,i.util.computeStrides(Kt));Rt[an]=Ie}var wn=ye.write(i.util.toTypedArray(Rt,V.dtype),Kt,V.dtype);return{dataId:wn,shape:Kt,dtype:V.dtype}}},zn={kernelName:i.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue,V=A.x,oe=A.filter,ee=A.dy,_e=F,ce=_e.strides,de=_e.pad,ye=_e.dilations,ve=E,Re=i.util.toNestedArray(V.shape,ve.data.get(V.dataId).values),Oe=i.util.toNestedArray(oe.shape,ve.data.get(oe.dataId).values),Fe=i.backend_util.computeDilation2DInfo(V.shape,oe.shape,ce,de,"NHWC",ye),Ve=Fe.batchSize,Xe=Fe.inHeight,rt=Fe.inWidth,at=Fe.inChannels,$=Fe.outHeight,et=Fe.outWidth,gt=Fe.padInfo,lt=Fe.strideHeight,_t=Fe.strideWidth,At=Fe.filterHeight,Lt=Fe.filterWidth,Pt=Fe.dilationHeight,Ut=Fe.dilationWidth,Nt=Fe.outShape;i.util.assert(ee.rank===Nt.length,function(){return"Error in "+i.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+Nt.length+", but got ")+(""+ee.rank)});for(var Kt=i.util.toNestedArray(Nt,ve.data.get(ee.dataId).values),Ht=i.util.makeZerosNestedTypedArray(oe.shape,oe.dtype),Ot=0;Ot<Ve;++Ot)for(var Rt=0;Rt<$;++Rt)for(var wt=Rt*lt-gt.top,Et=0;Et<et;++Et)for(var Vt=Et*_t-gt.left,jt=0;jt<at;++jt){for(var cr=Number.MIN_SAFE_INTEGER,rr=0,Ie=0,br=0;br<At;++br){var Nr=wt+br*Pt;if(Nr>=0&&Nr<Xe)for(var Tr=0;Tr<Lt;++Tr){var hr=Vt+Tr*Ut;if(hr>=0&&hr<rt){var Dr=Re[Ot][Nr][hr][jt]+Oe[br][Tr][jt];Dr>cr&&(cr=Dr,rr=br,Ie=Tr)}}}Ht[rr][Ie][jt]+=Kt[Ot][Rt][Et][jt]}var fr=ve.write(i.util.toTypedArray(Ht,V.dtype),oe.shape,oe.dtype);return{dataId:fr,shape:oe.shape,dtype:oe.dtype}}},Fr={kernelName:i.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue,V=A.x,oe=A.filter,ee=A.dy,_e=F,ce=_e.strides,de=_e.pad,ye=_e.dilations,ve=E,Re=i.util.toNestedArray(V.shape,ve.data.get(V.dataId).values),Oe=i.util.toNestedArray(oe.shape,ve.data.get(oe.dataId).values),Fe=i.backend_util.computeDilation2DInfo(V.shape,oe.shape,ce,de,"NHWC",ye),Ve=Fe.batchSize,Xe=Fe.inHeight,rt=Fe.inWidth,at=Fe.inChannels,$=Fe.outHeight,et=Fe.outWidth,gt=Fe.padInfo,lt=Fe.strideHeight,_t=Fe.strideWidth,At=Fe.filterHeight,Lt=Fe.filterWidth,Pt=Fe.dilationHeight,Ut=Fe.dilationWidth,Nt=Fe.outShape;i.util.assert(ee.rank===Nt.length,function(){return"Error in "+i.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+Nt.length+", but got ")+(""+ee.rank)});for(var Kt=i.util.toNestedArray(Nt,ve.data.get(ee.dataId).values),Ht=i.util.makeZerosNestedTypedArray(V.shape,V.dtype),Ot=0;Ot<Ve;++Ot)for(var Rt=0;Rt<$;++Rt)for(var wt=Rt*lt-gt.top,Et=0;Et<et;++Et)for(var Vt=Et*_t-gt.left,jt=0;jt<at;++jt){for(var cr=Number.MIN_SAFE_INTEGER,rr=wt<0?0:wt,Ie=Vt<0?0:Vt,br=0;br<At;++br){var Nr=wt+br*Pt;if(Nr>=0&&Nr<Xe)for(var Tr=0;Tr<Lt;++Tr){var hr=Vt+Tr*Ut;if(hr>=0&&hr<rt){var Dr=Re[Ot][Nr][hr][jt]+Oe[br][Tr][jt];Dr>cr&&(cr=Dr,rr=Nr,Ie=hr)}}}Ht[Ot][rr][Ie][jt]+=Kt[Ot][Rt][Et][jt]}var fr=ve.write(i.util.toTypedArray(Ht,V.dtype),V.shape,V.dtype);return{dataId:fr,shape:V.shape,dtype:V.dtype}}},wa=nt(function(ne,ue){return ne/ue}),In=ut(i.Div,wa),ur={kernelName:i.Div,backendName:"cpu",kernelFunc:In},$r=i.backend_util.ERF_P,Ra=i.backend_util.ERF_A1,mi=i.backend_util.ERF_A2,Ga=i.backend_util.ERF_A3,ja=i.backend_util.ERF_A4,ai=i.backend_util.ERF_A5,zi=_r(i.Erf,function(ne){var ue=Math.sign(ne),E=Math.abs(ne),F=1/(1+$r*E);return ue*(1-((((ai*F+ja)*F+Ga)*F+mi)*F+Ra)*F*Math.exp(-E*E))}),An={kernelName:i.Erf,backendName:"cpu",kernelFunc:zi};function ba(ne,ue,E){for(var F=ne.shape,A=F[0],V=F[1],oe=E.data.get(ne.dataId),ee=oe.complexTensorInfos.real,_e=oe.complexTensorInfos.imag,ce=[A,V],de=i.util.sizeFromShape(ce),ye=i.util.getTypedArrayFromDType("float32",de),ve=i.util.getTypedArrayFromDType("float32",de),Re=0;Re<A;Re++){for(var Oe=ti({inputs:{x:ee},backend:E,attrs:{begin:[Re,0],size:[1,V]}}),Fe=ti({inputs:{x:_e},backend:E,attrs:{begin:[Re,0],size:[1,V]}}),Ve=tt({inputs:{real:Oe,imag:Fe},backend:E}),Xe=qi(Ve,ue,E),rt=Xe.real,at=Xe.imag,$=i.backend_util.mergeRealAndImagArrays(rt,at),et=0;et<V;et++){var gt=i.backend_util.getComplexWithIndex($,et);ye[Re*V+et]=gt.real,ve[Re*V+et]=gt.imag}E.disposeIntermediateTensorInfo(Oe),E.disposeIntermediateTensorInfo(Fe),E.disposeIntermediateTensorInfo(Ve)}var lt=E.makeTensorInfo(ce,"float32",ye),_t=E.makeTensorInfo(ce,"float32",ve),At=tt({inputs:{real:lt,imag:_t},backend:E});return E.disposeIntermediateTensorInfo(lt),E.disposeIntermediateTensorInfo(_t),At}function qi(ne,ue,E){var F=i.util.sizeFromShape(ne.shape),A=E.data.get(ne.dataId),V=E.data.get(A.complexTensorInfos.real.dataId).values,oe=E.data.get(A.complexTensorInfos.imag.dataId).values;if(yi(F)){var ee=ii(V,oe,F,ue,E),_e=[ne.shape[0],ne.shape[1]];if(ue){var ce=E.makeTensorInfo(_e,"float32",ee.real),de=E.makeTensorInfo(_e,"float32",ee.imag),ye=E.makeTensorInfo([],"float32",i.util.createScalarValue(F,"float32")),ve=Tt({inputs:{x:ye},backend:E}),Re=ur.kernelFunc({inputs:{a:ce,b:ye},backend:E}),Oe=ur.kernelFunc({inputs:{a:de,b:ve},backend:E}),Fe=E.data.get(Re.dataId).values,Ve=E.data.get(Oe.dataId).values;return E.disposeIntermediateTensorInfo(ce),E.disposeIntermediateTensorInfo(de),E.disposeIntermediateTensorInfo(ye),E.disposeIntermediateTensorInfo(ve),E.disposeIntermediateTensorInfo(Re),E.disposeIntermediateTensorInfo(Oe),{real:Fe,imag:Ve}}return ee}else{var Xe=i.backend_util.mergeRealAndImagArrays(V,oe),rt=qr(Xe,F,ue);return i.backend_util.splitRealAndImagArrays(rt)}}function yi(ne){return(ne&ne-1)===0}function ii(ne,ue,E,F,A){if(E===1)return{real:ne,imag:ue};var V=i.backend_util.mergeRealAndImagArrays(ne,ue),oe=E/2,ee=i.backend_util.complexWithEvenIndex(V),_e=ee.real,ce=ee.imag,de=[_e.length],ye=A.makeTensorInfo(de,"float32",_e),ve=A.makeTensorInfo(de,"float32",ce),Re=tt({inputs:{real:ye,imag:ve},backend:A}),Oe=i.backend_util.complexWithOddIndex(V),Fe=Oe.real,Ve=Oe.imag,Xe=[Fe.length],rt=A.makeTensorInfo(Xe,"float32",Fe),at=A.makeTensorInfo(Xe,"float32",Ve),$=tt({inputs:{real:rt,imag:at},backend:A}),et=ii(_e,ce,oe,F,A),gt=et.real,lt=et.imag,_t=[gt.length],At=A.makeTensorInfo(_t,"float32",gt),Lt=A.makeTensorInfo(_t,"float32",lt),Pt=tt({inputs:{real:At,imag:Lt},backend:A}),Ut=ii(Fe,Ve,oe,F,A),Nt=Ut.real,Kt=Ut.imag,Ht=[Nt.length],Ot=A.makeTensorInfo(Ht,"float32",Nt),Rt=A.makeTensorInfo(Ht,"float32",Kt),wt=tt({inputs:{real:Ot,imag:Rt},backend:A}),Et=i.backend_util.exponents(E,F),Vt=[Et.real.length],jt=A.makeTensorInfo(Vt,"float32",Et.real),cr=A.makeTensorInfo(Vt,"float32",Et.imag),rr=tt({inputs:{real:jt,imag:cr},backend:A}),Ie=jn({inputs:{a:rr,b:wt},backend:A}),br=qt({inputs:{a:Pt,b:Ie},backend:A}),Nr=pi({inputs:{a:Pt,b:Ie},backend:A}),Tr=it({inputs:{input:br},backend:A}),hr=it({inputs:{input:Nr},backend:A}),Dr=tn({inputs:{input:br},backend:A}),fr=tn({inputs:{input:Nr},backend:A}),Er=Kn({inputs:[Tr,hr],backend:A,attrs:{axis:0}}),an=Kn({inputs:[Dr,fr],backend:A,attrs:{axis:0}}),wn=A.data.get(Er.dataId).values,ie=A.data.get(an.dataId).values;return A.disposeIntermediateTensorInfo(ye),A.disposeIntermediateTensorInfo(ve),A.disposeIntermediateTensorInfo(Re),A.disposeIntermediateTensorInfo(rt),A.disposeIntermediateTensorInfo(at),A.disposeIntermediateTensorInfo($),A.disposeIntermediateTensorInfo(At),A.disposeIntermediateTensorInfo(Lt),A.disposeIntermediateTensorInfo(Pt),A.disposeIntermediateTensorInfo(Ot),A.disposeIntermediateTensorInfo(Rt),A.disposeIntermediateTensorInfo(wt),A.disposeIntermediateTensorInfo(jt),A.disposeIntermediateTensorInfo(cr),A.disposeIntermediateTensorInfo(rr),A.disposeIntermediateTensorInfo(Ie),A.disposeIntermediateTensorInfo(br),A.disposeIntermediateTensorInfo(Nr),A.disposeIntermediateTensorInfo(Tr),A.disposeIntermediateTensorInfo(Dr),A.disposeIntermediateTensorInfo(hr),A.disposeIntermediateTensorInfo(fr),A.disposeIntermediateTensorInfo(Er),A.disposeIntermediateTensorInfo(an),{real:wn,imag:ie}}function qr(ne,ue,E){for(var F=new Float32Array(ue*2),A=0;A<ue;A++){for(var V=0,oe=0,ee=0;ee<ue;ee++){var _e=i.backend_util.exponent(A*ee,ue,E),ce=i.backend_util.getComplexWithIndex(ne,ee);V+=ce.real*_e.real-ce.imag*_e.imag,oe+=ce.real*_e.imag+ce.imag*_e.real}E&&(V/=ue,oe/=ue),i.backend_util.assignToTypedArray(F,V,oe,A)}return F}function Io(ne){var ue=ne.inputs,E=ne.backend,F=ue.input,A=i.util.sizeFromShape(F.shape),V=F.shape[F.shape.length-1],oe=A/V,ee=da({inputs:{x:F},backend:E,attrs:{shape:[oe,V]}}),_e=ba(ee,!1,E),ce=da({inputs:{x:_e},backend:E,attrs:{shape:F.shape}});return E.disposeIntermediateTensorInfo(ee),E.disposeIntermediateTensorInfo(_e),ce}var nn={kernelName:i.FFT,backendName:"cpu",kernelFunc:Io};function qa(ne){var ue=ne.backend,E=ne.attrs,F=E.shape,A=E.value,V=E.dtype,oe=V||i.util.inferDtype(A),ee=i.util.getArrayFromDType(oe,i.util.sizeFromShape(F));return Ki(ee,A,oe),ue.makeTensorInfo(F,oe,ee)}var La={kernelName:i.Fill,backendName:"cpu",kernelFunc:qa};function Ki(ne,ue,E){E==="string",ne.fill(ue)}var oi={kernelName:i.FlipLeftRight,backendName:"cpu",kernelFunc:function(ne){for(var ue=ne.inputs,E=ne.attrs,F=ne.backend,A=ue.image,V=F,oe=i.util.getTypedArrayFromDType(A.dtype,i.util.sizeFromShape(A.shape)),ee=A.shape,_e=ee[0],ce=ee[1],de=ee[2],ye=ee[3],ve=V.data.get(A.dataId).values,Re=0;Re<_e;Re++)for(var Oe=Re*de*ce*ye,Fe=0;Fe<ce;Fe++)for(var Ve=Fe*(de*ye),Xe=0;Xe<de;Xe++)for(var rt=Xe*ye,at=0;at<ye;at++){var $=[_e,Fe,Xe,at],et=$[2],gt=Math.round(de-et),lt=Oe+Ve+rt+at,_t=ve[lt];if(gt>=0&&gt<de){var At=gt*ye,Lt=Oe+Ve+At+at;_t=ve[Lt]}oe[lt]=_t}var Pt=V.write(oe,A.shape,A.dtype);return{dataId:Pt,shape:A.shape,dtype:A.dtype}}};function Pi(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.filter,oe=ue.bias,ee=ue.preluActivationWeights,_e=F.strides,ce=F.pad,de=F.dataFormat,ye=F.dilations,ve=F.dimRoundingMode,Re=F.activation,Oe=ma({inputs:{x:A,filter:V},backend:E,attrs:{strides:_e,pad:ce,dataFormat:de,dilations:ye,dimRoundingMode:ve}});if(oe){var Fe=Oe;Oe=qt({inputs:{a:Oe,b:oe},backend:E}),E.disposeIntermediateTensorInfo(Fe)}if(Re){var Fe=Oe;Oe=Oi(E,Oe,Re,ee),E.disposeIntermediateTensorInfo(Fe)}return Oe}var no={kernelName:i.FusedConv2D,backendName:"cpu",kernelFunc:Pi};function mo(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=ue.filter,oe=ue.bias,ee=ue.preluActivationWeights,_e=F.strides,ce=F.pad,de=F.dataFormat,ye=F.dilations,ve=F.dimRoundingMode,Re=F.activation,Oe=Qt({inputs:{x:A,filter:V},backend:E,attrs:{strides:_e,pad:ce,dataFormat:de,dilations:ye,dimRoundingMode:ve}});if(oe){var Fe=Oe;Oe=qt({inputs:{a:Oe,b:oe},backend:E}),E.disposeIntermediateTensorInfo(Fe)}if(Re){var Fe=Oe;Oe=Oi(E,Oe,Re,ee),E.disposeIntermediateTensorInfo(Fe)}return Oe}var Ka={kernelName:i.FusedDepthwiseConv2D,backendName:"cpu",kernelFunc:mo};function ao(ne){var ue=ne.inputs,E=ne.backend,F=ue.input,A=i.util.sizeFromShape(F.shape),V=F.shape[F.shape.length-1],oe=A/V,ee=da({inputs:{x:F},backend:E,attrs:{shape:[oe,V]}}),_e=ba(ee,!0,E),ce=da({inputs:{x:_e},backend:E,attrs:{shape:F.shape}});return E.disposeIntermediateTensorInfo(ee),E.disposeIntermediateTensorInfo(_e),ce}var Ko={kernelName:i.IFFT,backendName:"cpu",kernelFunc:ao},No=_r(i.IsFinite,function(ne){return Number.isFinite(ne)?1:0},"bool"),Co={kernelName:i.IsFinite,backendName:"cpu",kernelFunc:No},io=_r(i.IsInf,function(ne){return Math.abs(ne)===Infinity?1:0},"bool"),ia={kernelName:i.IsInf,backendName:"cpu",kernelFunc:io},Pr=_r(i.IsNan,function(ne){return Number.isNaN(ne)?1:0},"bool"),oa={kernelName:i.IsNan,backendName:"cpu",kernelFunc:Pr},Xa=_r(i.Log1p,function(ne){return Math.log1p(ne)}),Qn={kernelName:i.Log1p,backendName:"cpu",kernelFunc:Xa},oo=_r(i.LogicalNot,function(ne){return ne?0:1},"bool"),ka={kernelName:i.LogicalNot,backendName:"cpu",kernelFunc:oo},vn={kernelName:i.Max,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.attrs,F=ne.backend,A=ue.x,V=E,oe=V.reductionIndices,ee=V.keepDims,_e=F,ce=A.shape,de=ce.length,ye=i.util.parseAxisParam(oe,ce),ve=ye,Re=i.backend_util.getAxesPermutation(ve,de),Oe=_e.data.get(A.dataId).values;if(Re!=null){for(var Fe=new Array(de),Ve=0;Ve<Fe.length;Ve++)Fe[Ve]=ce[Re[Ve]];Oe=di(Oe,ce,A.dtype,Re,Fe),ve=i.backend_util.getInnerMostAxes(ve.length,de),ce=Fe}Q(A,"max"),i.backend_util.assertAxesAreInnerMostDims("max",ve,de);var Xe=i.backend_util.computeOutAndReduceShapes(ce,ve),rt=Xe[0],at=Xe[1],$=i.util.sizeFromShape(at),et=ha(Oe,$,rt,A.dtype),gt=_e.write(et,rt,A.dtype),lt=rt;if(ee){var Fe=i.backend_util.expandShapeToKeepDim(rt,ye);lt=Fe}return{dataId:gt,shape:lt,dtype:A.dtype}}};function Bi(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x;Q(A,"maxPool");var V=F.filterSize,oe=F.strides,ee=F.pad,_e=F.dimRoundingMode,ce=1;i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(oe,ce),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+oe+" and dilations '"+ce+"'")});var de=i.backend_util.computePool2DInfo(A.shape,V,oe,ce,ee,_e),ye;if(de.filterWidth===1&&de.filterHeight===1&&i.util.arraysEqual(de.inShape,de.outShape))ye=Tt({inputs:{x:A},backend:E});else{var ve=E.data.get(A.dataId).values,Re=i.util.computeStrides(A.shape),Oe=fa(ve,A.shape,A.dtype,Re,de,"max");ye=E.makeTensorInfo(de.outShape,A.dtype,Oe.values)}return ye}var yo={kernelName:i.MaxPool,backendName:"cpu",kernelFunc:Bi};function vo(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.dy,V=ue.input,oe=ue.output,ee=V;Q([V,oe],"maxPoolBackprop");for(var _e=F.filterSize,ce=F.strides,de=F.pad,ye=F.dimRoundingMode,ve=i.backend_util.computePool2DInfo(ee.shape,_e,ce,1,de,ye),Re=E.data.get(ee.dataId).values,Oe=i.buffer(ve.outShape,ee.dtype,ra(Re,ee.shape,ee.dtype,ve).values),Fe=ve.strideHeight,Ve=ve.strideWidth,Xe=ve.dilationHeight,rt=ve.dilationWidth,at=ve.effectiveFilterHeight,$=ve.effectiveFilterWidth,et=$-1-ve.padInfo.left,gt=at-1-ve.padInfo.top,lt=i.buffer(ee.shape,"float32"),_t=E.data.get(A.dataId).values,At=i.buffer(A.shape,"float32",_t),Lt=0;Lt<ve.batchSize;++Lt)for(var Pt=0;Pt<ve.inChannels;++Pt)for(var Ut=0;Ut<ve.inHeight;++Ut)for(var Nt=0;Nt<ve.inWidth;++Nt){for(var Kt=Ut-gt,Ht=Nt-et,Ot=0,Rt=0;Rt<at;Rt+=Xe){var wt=(Kt+Rt)/Fe;if(wt<0||wt>=ve.outHeight||Math.floor(wt)!==wt)continue;for(var Et=0;Et<$;Et+=rt){var Vt=(Ht+Et)/Ve;if(Vt<0||Vt>=ve.outWidth||Math.floor(Vt)!==Vt)continue;var jt=at*$-1-Oe.get(Lt,wt,Vt,Pt),cr=Rt*$+Et,rr=jt===cr?1:0;if(rr===0)continue;var Ie=At.get(Lt,wt,Vt,Pt);Ot+=Ie*rr}}lt.set(Ot,Lt,Ut,Nt,Pt)}return E.makeTensorInfo(lt.shape,lt.dtype,lt.values)}var Aa={kernelName:i.MaxPoolBackprop,backendName:"cpu",kernelFunc:vo};function go(ne,ue,E,F,A){var V=i.util.computeStrides(ue),oe=fa(ne,ue,E,V,A,"max"),ee=ra(ne,ue,E,A,!0,F);return[oe.values,ee.values]}var To={kernelName:i.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.attrs,F=ne.backend,A=ue.x,V=E,oe=V.filterSize,ee=V.strides,_e=V.pad,ce=V.includeBatchInIndex,de=F;Q(A,"MaxPoolWithArgmax");var ye=de.data.get(A.dataId).values,ve=i.backend_util.computePool2DInfo(A.shape,oe,ee,[1,1],_e),Re=go(ye,A.shape,A.dtype,ce,ve),Oe=Re[0],Fe=Re[1],Ve=de.write(Oe,ve.outShape,A.dtype),Xe=de.write(Fe,ve.outShape,A.dtype);return[{dataId:Ve,shape:ve.outShape,dtype:A.dtype},{dataId:Xe,shape:ve.outShape,dtype:"int32"}]}};function Rs(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=F.paddings,oe=F.mode;Q(A,"mirrorPad");for(var ee=V.map(function(lt,_t){return lt[0]+A.shape[_t]+lt[1]}),_e=V.map(function(lt){return lt[0]}),ce=V.map(function(lt,_t){return lt[0]+A.shape[_t]}),de=oe==="reflect"?0:1,ye=E.data.get(A.dataId).values,ve=A.shape.length,Re=i.util.computeStrides(A.shape),Oe=i.util.sizeFromShape(ee),Fe=ee.length,Ve=i.util.computeStrides(ee),Xe=i.util.getTypedArrayFromDType(A.dtype,Oe),rt=0;rt<Oe;rt++){for(var at=i.util.indexToLoc(rt,Fe,Ve),$=0;$<Fe;$++)at[$]<_e[$]?at[$]=_e[$]*2-at[$]-de:at[$]>=ce[$]&&(at[$]=(ce[$]-1)*2-at[$]+de);at=at.map(function(lt,_t){return lt-_e[_t]});var et=i.util.locToIndex(at,ve,Re);Xe[rt]=ye[et]}var gt=E.write(Xe,ee,A.dtype);return{dataId:gt,shape:ee,dtype:A.dtype}}var Eo={kernelName:i.MirrorPad,backendName:"cpu",kernelFunc:Rs},As=i.kernel_impls.nonMaxSuppressionV4Impl,Ds={kernelName:i.NonMaxSuppressionV4,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue,V=A.boxes,oe=A.scores,ee=F,_e=ee.maxOutputSize,ce=ee.iouThreshold,de=ee.scoreThreshold,ye=ee.padToMaxOutputSize,ve=E;Q(V,"NonMaxSuppressionPadded");var Re=ve.data.get(V.dataId).values,Oe=ve.data.get(oe.dataId).values,Fe=As(Re,Oe,_e,ce,de,ye),Ve=Fe.selectedIndices,Xe=Fe.validOutputs;return[Ve,Xe]}},Xo=i.kernel_impls.nonMaxSuppressionV5Impl,Ro={kernelName:i.NonMaxSuppressionV5,backendName:"cpu",kernelFunc:function(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue,V=A.boxes,oe=A.scores,ee=F,_e=ee.maxOutputSize,ce=ee.iouThreshold,de=ee.scoreThreshold,ye=ee.softNmsSigma,ve=E;Q(V,"NonMaxSuppressionWithScore");var Re=ve.data.get(V.dataId).values,Oe=ve.data.get(oe.dataId).values,Fe=_e,Ve=ce,Xe=de,rt=ye,at=Xo(Re,Oe,Fe,Ve,Xe,rt),$=at.selectedIndices,et=at.selectedScores;return[$,et]}};function Yo(ne){var ue=ne.inputs,E=ne.backend,F=ne.attrs,A=ue.x,V=F.paddings,oe=F.constantValue;Q(A,"pad");var ee=V.map(function(gt,lt){return gt[0]+A.shape[lt]+gt[1]}),_e=V.map(function(gt){return 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ue=ne.inputs,E=ne.attrs,F=ne.backend,A=ue.image,V=E,oe=V.radians,ee=V.fillValue,_e=V.center,ce=F,de=i.util.getTypedArrayFromDType(A.dtype,i.util.sizeFromShape(A.shape)),ye=A.shape,ve=ye[0],Re=ye[1],Oe=ye[2],Fe=ye[3],Ve=i.backend_util.getImageCenter(_e,Re,Oe),Xe=Ve[0],rt=Ve[1],at=255,$=Math.sin(oe),et=Math.cos(oe),gt=ce.data.get(A.dataId).values,lt=0;lt<ve;lt++)for(var _t=lt*Oe*Re*Fe,At=0;At<Re;At++)for(var Lt=At*(Oe*Fe),Pt=0;Pt<Oe;Pt++)for(var Ut=Pt*Fe,Nt=0;Nt<Fe;Nt++){var Kt=[ve,At,Pt,Nt],Ht=Kt[2],Ot=Kt[1],Rt=(Ht-Xe)*et-(Ot-rt)*$,wt=(Ht-Xe)*$+(Ot-rt)*et;Rt=Math.round(Rt+Xe),wt=Math.round(wt+rt);var Et=ee;if(typeof ee!="number"&&(Nt===3?Et=at:Et=ee[Nt]),Rt>=0&&Rt<Oe&&wt>=0&&wt<Re){var Vt=wt*(Oe*Fe),jt=Rt*Fe,cr=_t+Vt+jt+Nt;Et=gt[cr]}var rr=_t+Lt+Ut+Nt;de[rr]=Et}var Ie=ce.write(de,A.shape,A.dtype);return{dataId:Ie,shape:A.shape,dtype:A.dtype}}},tu=_r(i.Round,function(ne){var ue=Math.floor(ne);return 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p=P(f);if(f===1){if(!qn(p,"OES_texture_float"))return!1}else if(!qn(p,"EXT_color_buffer_float"))return!1;var l=di(p);return l}function pa(f){if(f===0)return!1;var p=P(f);if(f===1){if(!qn(p,"OES_texture_float"))return!1;if(!qn(p,"WEBGL_color_buffer_float"))return!1}else{if(qn(p,"EXT_color_buffer_float"))return di(p);var l="EXT_color_buffer_half_float";if(qn(p,l)){var m=p.getExtension(l);return fi(p,m)}return!1}var g=di(p);return g}function di(f){var p=Tt(f),l=f.createTexture();f.bindTexture(f.TEXTURE_2D,l);var m=1,g=1;f.texImage2D(f.TEXTURE_2D,0,p.internalFormatFloat,m,g,0,p.textureFormatFloat,p.textureTypeFloat,null);var I=f.createFramebuffer();f.bindFramebuffer(f.FRAMEBUFFER,I),f.framebufferTexture2D(f.FRAMEBUFFER,f.COLOR_ATTACHMENT0,f.TEXTURE_2D,l,0);var R=f.checkFramebufferStatus(f.FRAMEBUFFER)===f.FRAMEBUFFER_COMPLETE;return f.bindTexture(f.TEXTURE_2D,null),f.bindFramebuffer(f.FRAMEBUFFER,null),f.deleteTexture(l),f.deleteFramebuffer(I),R}function fi(f,p){var l=Tt(f,p),m=f.createTexture();f.bindTexture(f.TEXTURE_2D,m);var g=1,I=1;f.texImage2D(f.TEXTURE_2D,0,l.internalFormatHalfFloat,g,I,0,l.textureFormatFloat,l.textureTypeHalfFloat,null);var R=f.createFramebuffer();f.bindFramebuffer(f.FRAMEBUFFER,R),f.framebufferTexture2D(f.FRAMEBUFFER,f.COLOR_ATTACHMENT0,f.TEXTURE_2D,m,0);var z=f.checkFramebufferStatus(f.FRAMEBUFFER)===f.FRAMEBUFFER_COMPLETE;return f.bindTexture(f.TEXTURE_2D,null),f.bindFramebuffer(f.FRAMEBUFFER,null),f.deleteTexture(m),f.deleteFramebuffer(R),z}function Va(f){if(f!==2)return!1;var p=P(f),l=p.fenceSync!=null;return l}function ln(f,p){Array.isArray(f)||(f=[f]),f.forEach(function(l){l!=null&&i.util.assert(l.dtype!=="complex64",function(){return p+" does not support complex64 tensors in the WebGL backend."})})}var ni={__proto__:null,callAndCheck:Qe,canBeRepresented:ht,getWebGLErrorMessage:ut,getExtensionOrThrow:yt,createVertexShader:Zt,createFragmentShader:ar,createProgram:jr,linkProgram:_r,validateProgram:tr,createStaticVertexBuffer:Fa,createStaticIndexBuffer:Oa,getNumChannels:Tn,createTexture:Wa,validateTextureSize:Na,createFramebuffer:yn,bindVertexBufferToProgramAttribute:Ma,bindTextureUnit:li,unbindTextureUnit:hi,getProgramUniformLocationOrThrow:la,getProgramUniformLocation:rn,bindTextureToProgramUniformSampler:Ca,bindCanvasToFramebuffer:xn,bindColorTextureToFramebuffer:Hn,unbindColorTextureFromFramebuffer:_i,validateFramebuffer:ha,getFramebufferErrorMessage:Ei,getBatchDim:Ua,getRowsCols:ga,getShapeAs3D:wi,getTextureShapeFromLogicalShape:Ta,isReshapeFree:_n,getWebGLMaxTextureSize:ti,resetMaxTextureSize:_a,resetMaxTexturesInShader:Ri,getMaxTexturesInShader:Hi,getWebGLDisjointQueryTimerVersion:Ai,hasExtension:qn,isWebGLVersionEnabled:ri,isCapableOfRenderingToFloatTexture:pi,isDownloadFloatTextureEnabled:pa,isWebGLFenceEnabled:Va,assertNotComplex:ln},gr=i.env();gr.registerFlag("HAS_WEBGL",function(){return gr.getNumber("WEBGL_VERSION")>0}),gr.registerFlag("WEBGL_VERSION",function(){return ri(2)?2:ri(1)?1:0}),gr.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",function(){return!1}),gr.registerFlag("WEBGL_BUFFER_SUPPORTED",function(){return gr.get("WEBGL_VERSION")===2}),gr.registerFlag("WEBGL_CPU_FORWARD",function(){return!0}),gr.registerFlag("WEBGL_FORCE_F16_TEXTURES",function(){return!1}),gr.registerFlag("WEBGL_PACK",function(){return gr.getBool("HAS_WEBGL")}),gr.registerFlag("WEBGL_PACK_NORMALIZATION",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_CLIP",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_DEPTHWISECONV",function(){return!1}),gr.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_PACK_REDUCE",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_LAZILY_UNPACK",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_CONV_IM2COL",function(){return gr.getBool("WEBGL_PACK")}),gr.registerFlag("WEBGL_MAX_TEXTURE_SIZE",function(){return ti(gr.getNumber("WEBGL_VERSION"))}),gr.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",function(){return Hi(gr.getNumber("WEBGL_VERSION"))}),gr.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",function(){var f=gr.getNumber("WEBGL_VERSION");return f===0?0:Ai(f)}),gr.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",function(){return gr.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!i.device_util.isMobile()}),gr.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",function(){return 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f(p,l){this.outputShape=[],this.outputShape=p,this.variableNames=l.map(function(I,R){return"T"+R});var m=[];this.variableNames.forEach(function(I){m.push("float v"+I+" = get"+I+"AtOutCoords();")});var g=this.variableNames.map(function(I){return"v"+I}).join(" + ");this.userCode=`
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        vec4 result = `+g+`;
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        int outIdx = coords[1];
        int inOffset = outIdx * `+g+`;

        int bestIndex = inOffset;
        float bestValue = getA(batch, bestIndex);

        for (int i = 0; i < `+g+`; i++) {
          int inIdx = `+L+`;
          float candidate = getA(batch, inIdx);
          if (candidate `+z+` bestValue) {
            bestValue = candidate;
            bestIndex = inIdx;
          }
        }
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      }

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    }
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    void setOutput(float val) {
      `+f.output+` = vec4(val, 0, 0, 0);
    }
  `}function Je(f){return`
    void setOutput(vec4 val) {
      `+f.output+` = val;
    }
  `}function Be(f){var p=f.version+`
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    precision highp int;
    precision highp sampler2D;
    `+f.varyingFs+` vec2 resultUV;
    `+f.defineOutput+`
    const vec2 halfCR = vec2(0.5, 0.5);

    struct ivec5
    {
      int x;
      int y;
      int z;
      int w;
      int u;
    };

    struct ivec6
    {
      int x;
      int y;
      int z;
      int w;
      int u;
      int v;
    };

    uniform float NAN;
    `+f.defineSpecialNaN+`
    `+f.defineSpecialInf+`
    `+f.defineRound+`

    int imod(int x, int y) {
      return x - y * (x / y);
    }

    int idiv(int a, int b, float sign) {
      int res = a / b;
      int mod = imod(a, b);
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        res -= 1;
      }
      return res;
    }

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    //https://www.shadertoy.com/view/4djSRW
    #define HASHSCALE1 443.8975
    float random(float seed){
      vec2 p = resultUV * seed;
      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);
      p3 += dot(p3, p3.yzx + 19.19);
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    }

    `+vt+`
    `+ft+`
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vec2 uvFromFlat(int texNumR, int texNumC, int index) {
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  int texC = index - texR * texNumC;
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}
vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
  int texelIndex = index / 2;
  int texR = texelIndex / texNumC;
  int texC = texelIndex - texR * texNumC;
  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,ft=`
vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,
  int texNumC, int row, int col) {
  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
  int texR = texelIndex / texNumC;
  int texC = texelIndex - texR * texNumC;
  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,zt=`
vec2 packedUVfrom3D(int texNumR, int texNumC,
    int texelsInBatch, int texelsInLogicalRow, int b,
    int row, int col) {
  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
  int texR = index / texNumC;
  int texC = index - texR * texNumC;
  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,Wt=`
  float getChannel(vec4 frag, vec2 innerDims) {
    vec2 modCoord = mod(innerDims, 2.);
    return modCoord.x == 0. ?
      (modCoord.y == 0. ? frag.r : frag.g) :
      (modCoord.y == 0. ? frag.b : frag.a);
  }
  float getChannel(vec4 frag, int dim) {
    float modCoord = mod(float(dim), 2.);
    return modCoord == 0. ? frag.r : frag.g;
  }
`;function Gt(){return`
    int getOutputCoords() {
      return 0;
    }
  `}function Qt(f,p){var l=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];return l[0]===1?`
      int getOutputCoords() {
        return 2 * int(resultUV.x * `+l[1]+`.0);
      }
    `:l[1]===1?`
      int getOutputCoords() {
        return 2 * int(resultUV.y * `+l[0]+`.0);
      }
    `:`
    int getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+l[0]+", "+l[1]+`));
      return 2 * (resTexRC.x * `+l[1]+` + resTexRC.y);
    }
  `}function wr(f,p){return p[0]===1?`
      int getOutputCoords() {
        return int(resultUV.x * `+p[1]+`.0);
      }
    `:p[1]===1?`
      int getOutputCoords() {
        return int(resultUV.y * `+p[0]+`.0);
      }
    `:`
    int getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+p[0]+", "+p[1]+`));
      return resTexRC.x * `+p[1]+` + resTexRC.y;
    }
  `}function Ar(f,p){var l=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)],m=Math.ceil(f[2]/2),g=m*Math.ceil(f[1]/2);return`
    ivec3 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+l[0]+", "+l[1]+`));
      int index = resTexRC.x * `+l[1]+` + resTexRC.y;

      int b = index / `+g+`;
      index -= b * `+g+`;

      int r = 2 * (index / `+m+`);
      int c = imod(index, `+m+`) * 2;

      return ivec3(b, r, c);
    }
  `}function Yt(f,p){var l=Rn(["r","c","d"],f);return`
    ivec3 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+p[0]+", "+p[1]+`));
      int index = resTexRC.x * `+p[1]+` + resTexRC.y;
      `+l+`
      return ivec3(r, c, d);
    }
  `}function xr(f,p){for(var l=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)],m=Math.ceil(f[f.length-1]/2),g=m*Math.ceil(f[f.length-2]/2),I=g,R="",z="b, r, c",L=2;L<f.length-1;L++)I*=f[f.length-L-1],R=`
      int b`+L+" = index / "+I+`;
      index -= b`+L+" * "+I+`;
    `+R,z="b"+L+", "+z;return`
    ivec`+f.length+` getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+l[0]+", "+l[1]+`));
      int index = resTexRC.x * `+l[1]+` + resTexRC.y;

      `+R+`

      int b = index / `+g+`;
      index -= b * `+g+`;

      int r = 2 * (index / `+m+`);
      int c = imod(index, `+m+`) * 2;

      return ivec`+f.length+"("+z+`);
    }
  `}function Sn(f,p){var l=Rn(["r","c","d","d2"],f);return`
    ivec4 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
        vec2(`+p[0]+", "+p[1]+`));
      int index = resTexRC.x * `+p[1]+` + resTexRC.y;
      `+l+`
      return ivec4(r, c, d, d2);
    }
  `}function pn(f,p){var l=Rn(["r","c","d","d2","d3"],f);return`
    ivec5 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx * vec2(`+p[0]+`,
                             `+p[1]+`));

      int index = resTexRC.x * `+p[1]+` + resTexRC.y;

      `+l+`

      ivec5 outShape = ivec5(r, c, d, d2, d3);
      return outShape;
    }
  `}function zn(f,p){var l=Rn(["r","c","d","d2","d3","d4"],f);return`
    ivec6 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
        vec2(`+p[0]+", "+p[1]+`));
      int index = resTexRC.x * `+p[1]+` + resTexRC.y;

      `+l+`

      ivec6 result = ivec6(r, c, d, d2, d3, d4);
      return result;
    }
  `}function Fr(f,p){var l=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];if(i.util.arraysEqual(f,p))return`
      ivec2 getOutputCoords() {
        return 2 * ivec2(resultUV.yx * vec2(`+l[0]+", "+l[1]+`));
      }
    `;var m=Math.ceil(f[1]/2);return`
    ivec2 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+l[0]+", "+l[1]+`));

      int index = resTexRC.x * `+l[1]+` + resTexRC.y;
      int r = 2 * (index / `+m+`);
      int c = imod(index, `+m+`) * 2;

      return ivec2(r, c);
    }
  `}function wa(f,p){return i.util.arraysEqual(f,p)?`
      ivec2 getOutputCoords() {
        return ivec2(resultUV.yx * vec2(`+p[0]+", "+p[1]+`));
      }
    `:f[1]===1?`
      ivec2 getOutputCoords() {
        ivec2 resTexRC = ivec2(resultUV.yx *
                               vec2(`+p[0]+", "+p[1]+`));
        int index = resTexRC.x * `+p[1]+` + resTexRC.y;
        return ivec2(index, 0);
      }
    `:f[0]===1?`
      ivec2 getOutputCoords() {
        ivec2 resTexRC = ivec2(resultUV.yx *
                               vec2(`+p[0]+", "+p[1]+`));
        int index = resTexRC.x * `+p[1]+` + resTexRC.y;
        return ivec2(0, index);
      }
    `:`
    ivec2 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+p[0]+", "+p[1]+`));
      int index = resTexRC.x * `+p[1]+` + resTexRC.y;
      int r = index / `+f[1]+`;
      int c = index - r * `+f[1]+`;
      return ivec2(r, c);
    }
  `}function In(f){return"offset"+f}function ur(f){var p=f.name,l="get"+p.charAt(0).toUpperCase()+p.slice(1),m=tn();return`
    vec4 `+l+`() {
      return `+m.texture2D+"("+p+`, halfCR);
    }
  `}function $r(f){var p=f.name,l="get"+p.charAt(0).toUpperCase()+p.slice(1);if(f.shapeInfo.isUniform)return"float "+l+"() {return "+p+";}";var m=f.shapeInfo.texShape,g=m[0],I=m[1];if(g===1&&I===1)return`
      float `+l+`() {
        return sampleTexture(`+p+`, halfCR);
      }
    `;var R=f.shapeInfo.texShape,z=R[0],L=R[1],G=In(p);return`
    float `+l+`() {
      vec2 uv = uvFromFlat(`+z+", "+L+", "+G+`);
      return sampleTexture(`+p+`, uv);
    }
  `}function Ra(f){var p=f.name,l="get"+p.charAt(0).toUpperCase()+p.slice(1),m=f.shapeInfo.texShape,g=[Math.ceil(m[0]/2),Math.ceil(m[1]/2)],I=tn();return`
    vec4 `+l+`(int index) {
      vec2 uv = packedUVfrom1D(
        `+g[0]+", "+g[1]+`, index);
      return `+I.texture2D+"("+p+`, uv);
    }
  `}function mi(f){var p=f.name,l="get"+p.charAt(0).toUpperCase()+p.slice(1);if(f.shapeInfo.isUniform)return`
      float `+l+`(int index) {
        `+ii(f)+`
      }
    `;var m=f.shapeInfo.texShape,g=m[0],I=m[1];if(I===1&&g===1)return`
      float `+l+`(int index) {
        return sampleTexture(`+p+`, halfCR);
      }
    `;var R=In(p);return I===1?`
      float `+l+`(int index) {
        vec2 uv = vec2(0.5, (float(index + `+R+") + 0.5) / "+g+`.0);
        return sampleTexture(`+p+`, uv);
      }
    `:g===1?`
      float `+l+`(int index) {
        vec2 uv = vec2((float(index + `+R+") + 0.5) / "+I+`.0, 0.5);
        return sampleTexture(`+p+`, uv);
      }
    `:`
    float `+l+`(int index) {
      vec2 uv = uvFromFlat(`+g+", "+I+", index + "+R+`);
      return sampleTexture(`+p+`, uv);
    }
  `}function Ga(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=f.shapeInfo.texShape,I=g[0],R=g[1],z=tn();if(g!=null&&i.util.arraysEqual(p,g))return`
      vec4 `+m+`(int row, int col) {
        vec2 uv = (vec2(col, row) + halfCR) / vec2(`+R+".0, "+I+`.0);

        return `+z.texture2D+"("+l+`, uv);
      }
    `;var L=[Math.ceil(g[0]/2),Math.ceil(g[1]/2)],G=Math.ceil(p[1]/2);return`
    vec4 `+m+`(int row, int col) {
      vec2 uv = packedUVfrom2D(`+G+", "+L[0]+", "+L[1]+`, row, col);
      return `+z.texture2D+"("+l+`, uv);
    }
  `}function ja(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=f.shapeInfo.texShape;if(g!=null&&i.util.arraysEqual(p,g)){var I=g[0],R=g[1];return`
    float `+m+`(int row, int col) {
      vec2 uv = (vec2(col, row) + halfCR) / vec2(`+R+".0, "+I+`.0);
      return sampleTexture(`+l+`, uv);
    }
  `}var z=i.util.squeezeShape(p),L=z.newShape,G=z.keptDims,Z=L;if(Z.length<p.length){var be=qa(f,Z),Ce=["row","col"];return`
      `+Ea(be)+`
      float `+m+`(int row, int col) {
        return `+m+"("+La(Ce,G)+`);
      }
    `}if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col) {
        int index = round(dot(vec2(row, col), vec2(`+p[1]+`, 1)));
        `+ii(f)+`
      }
    `;var De=g[0],Te=g[1],Ge=In(l);return Te===1?`
    float `+m+`(int row, int col) {
      float index = dot(vec3(row, col, `+Ge+"), vec3("+p[1]+`, 1, 1));
      vec2 uv = vec2(0.5, (index + 0.5) / `+De+`.0);
      return sampleTexture(`+l+`, uv);
    }
  `:De===1?`
    float `+m+`(int row, int col) {
      float index = dot(vec3(row, col, `+Ge+"), vec3("+p[1]+`, 1, 1));
      vec2 uv = vec2((index + 0.5) / `+Te+`.0, 0.5);
      return sampleTexture(`+l+`, uv);
    }
  `:`
  float `+m+`(int row, int col) {
    // Explicitly use integer operations as dot() only works on floats.
    int index = row * `+p[1]+" + col + "+Ge+`;
    vec2 uv = uvFromFlat(`+De+", "+Te+`, index);
    return sampleTexture(`+l+`, uv);
  }
`}function ai(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=f.shapeInfo.texShape,I=[Math.ceil(g[0]/2),Math.ceil(g[1]/2)];if(p[0]===1){var R=p.slice(1),z=[1,2],L=qa(f,R),G=["b","row","col"];return`
        `+S(L)+`
        vec4 `+m+`(int b, int row, int col) {
          return `+m+"("+La(G,z)+`);
        }
      `}var Z=I[0],be=I[1],Ce=Math.ceil(p[2]/2),De=Ce*Math.ceil(p[1]/2),Te=tn();return`
    vec4 `+m+`(int b, int row, int col) {
      vec2 uv = packedUVfrom3D(
        `+Z+", "+be+", "+De+", "+Ce+`, b, row, col);
      return `+Te.texture2D+"("+l+`, uv);
    }
  `}function zi(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=p[1]*p[2],I=p[2],R=i.util.squeezeShape(p),z=R.newShape,L=R.keptDims,G=z;if(G.length<p.length){var Z=qa(f,G),be=["row","col","depth"];return`
        `+Ea(Z)+`
        float `+m+`(int row, int col, int depth) {
          return `+m+"("+La(be,L)+`);
        }
      `}if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col, int depth) {
        int index = round(dot(vec3(row, col, depth),
                          vec3(`+g+", "+I+`, 1)));
        `+ii(f)+`
      }
    `;var Ce=f.shapeInfo.texShape,De=Ce[0],Te=Ce[1],Ge=f.shapeInfo.flatOffset;if(Te===g&&Ge==null)return`
        float `+m+`(int row, int col, int depth) {
          float texR = float(row);
          float texC = dot(vec2(col, depth), vec2(`+I+`, 1));
          vec2 uv = (vec2(texC, texR) + halfCR) /
                     vec2(`+Te+".0, "+De+`.0);
          return sampleTexture(`+l+`, uv);
        }
      `;if(Te===I&&Ge==null)return`
    float `+m+`(int row, int col, int depth) {
      float texR = dot(vec2(row, col), vec2(`+p[1]+`, 1));
      float texC = float(depth);
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+Te+".0, "+De+`.0);
      return sampleTexture(`+l+`, uv);
    }
  `;var Ze=In(l);return`
      float `+m+`(int row, int col, int depth) {
        // Explicitly use integer operations as dot() only works on floats.
        int index = row * `+g+" + col * "+I+" + depth + "+Ze+`;
        vec2 uv = uvFromFlat(`+De+", "+Te+`, index);
        return sampleTexture(`+l+`, uv);
      }
  `}function An(f){for(var p=f.shapeInfo.logicalShape,l=p.length,m=f.name,g="get"+m.charAt(0).toUpperCase()+m.slice(1),I=f.shapeInfo.texShape,R=[Math.ceil(I[0]/2),Math.ceil(I[1]/2)],z=R[0],L=R[1],G=Math.ceil(p[l-1]/2),Z=G*Math.ceil(p[l-2]/2),be="int b, int row, int col",Ce="b * "+Z+" + (row / 2) * "+G+" + (col / 2)",De=2;De<l-1;De++)be="int b"+De+", "+be,Z*=p[l-De-1],Ce="b"+De+" * "+Z+" + "+Ce;var Te=tn();return`
    vec4 `+g+"("+be+`) {
      int index = `+Ce+`;
      int texR = index / `+L+`;
      int texC = index - texR * `+L+`;
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+L+", "+z+`);
      return `+Te.texture2D+"("+m+`, uv);
    }
  `}function ba(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=p[3],I=p[2]*g,R=p[1]*I,z=i.util.squeezeShape(p),L=z.newShape,G=z.keptDims;if(L.length<p.length){var Z=qa(f,L),be=["row","col","depth","depth2"];return`
      `+Ea(Z)+`
      float `+m+`(int row, int col, int depth, int depth2) {
        return `+m+"("+La(be,G)+`);
      }
    `}if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col, int depth, int depth2) {
        int index = round(dot(vec4(row, col, depth, depth2),
                          vec4(`+R+", "+I+", "+g+`, 1)));
        `+ii(f)+`
      }
    `;var Ce=f.shapeInfo.flatOffset,De=f.shapeInfo.texShape,Te=De[0],Ge=De[1];if(Ge===R&&Ce==null)return`
      float `+m+`(int row, int col, int depth, int depth2) {
        float texR = float(row);
        float texC =
            dot(vec3(col, depth, depth2),
                vec3(`+I+", "+g+`, 1));
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+Ge+".0, "+Te+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;if(Ge===g&&Ce==null)return`
      float `+m+`(int row, int col, int depth, int depth2) {
        float texR = dot(vec3(row, col, depth),
                         vec3(`+p[1]*p[2]+", "+p[2]+`, 1));
        float texC = float(depth2);
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+Ge+".0, "+Te+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var Ze=In(l);return`
    float `+m+`(int row, int col, int depth, int depth2) {
      // Explicitly use integer operations as dot() only works on floats.
      int index = row * `+R+" + col * "+I+` +
          depth * `+g+` + depth2;
      vec2 uv = uvFromFlat(`+Te+", "+Ge+", index + "+Ze+`);
      return sampleTexture(`+l+`, uv);
    }
  `}function qi(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=p[4],I=p[3]*g,R=p[2]*I,z=p[1]*R,L=i.util.squeezeShape(p),G=L.newShape,Z=L.keptDims;if(G.length<p.length){var be=qa(f,G),Ce=["row","col","depth","depth2","depth3"];return`
      `+Ea(be)+`
      float `+m+`(int row, int col, int depth, int depth2, int depth3) {
        return `+m+"("+La(Ce,Z)+`);
      }
    `}if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col, int depth, int depth2, int depth3) {
        float index = dot(
          vec4(row, col, depth, depth2),
          vec4(`+z+", "+R+", "+I+", "+g+`)) +
          depth3;
        `+ii(f)+`
      }
    `;var De=f.shapeInfo.flatOffset,Te=f.shapeInfo.texShape,Ge=Te[0],Ze=Te[1];if(Ze===z&&De==null)return`
      float `+m+`(int row, int col, int depth, int depth2, int depth3) {
        int texR = row;
        float texC = dot(vec4(col, depth, depth2, depth3),
                         vec4(`+R+", "+I+", "+g+`, 1));
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+Ze+".0, "+Ge+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;if(Ze===g&&De==null)return`
      float `+m+`(int row, int col, int depth, int depth2, int depth3) {
        float texR = dot(
          vec4(row, col, depth, depth2),
          vec4(`+p[1]*p[2]*p[3]+`,
               `+p[2]*p[3]+", "+p[3]+`, 1));
        int texC = depth3;
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+Ze+".0, "+Ge+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var s=In(l);return`
    float `+m+`(int row, int col, int depth, int depth2, int depth3) {
      // Explicitly use integer operations as dot() only works on floats.
      int index = row * `+z+" + col * "+R+" + depth * "+I+` +
          depth2 * `+g+" + depth3 + "+s+`;
      vec2 uv = uvFromFlat(`+Ge+", "+Ze+`, index);
      return sampleTexture(`+l+`, uv);
    }
  `}function yi(f){var p=f.shapeInfo.logicalShape,l=f.name,m="get"+l.charAt(0).toUpperCase()+l.slice(1),g=i.util.squeezeShape(p),I=g.newShape,R=g.keptDims;if(I.length<p.length){var z=qa(f,I),L=["row","col","depth","depth2","depth3","depth4"];return`
      `+Ea(z)+`
      float `+m+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        return `+m+"("+La(L,R)+`);
      }
    `}var G=p[5],Z=p[4]*G,be=p[3]*Z,Ce=p[2]*be,De=p[1]*Ce;if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col, int depth,
                  int depth2, int depth3, int depth4) {
        int index = round(dot(
          vec4(row, col, depth, depth2),
          vec4(`+De+", "+Ce+", "+be+", "+Z+`)) +
          dot(
            vec2(depth3, depth4),
            vec2(`+G+`, 1)));
        `+ii(f)+`
      }
    `;var Te=f.shapeInfo.flatOffset,Ge=f.shapeInfo.texShape,Ze=Ge[0],s=Ge[1];if(s===De&&Te==null)return`
      float `+m+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        int texR = row;
        float texC = dot(vec4(col, depth, depth2, depth3),
          vec4(`+Ce+", "+be+", "+Z+", "+G+`)) +
               float(depth4);
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+s+".0, "+Ze+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;if(s===G&&Te==null)return`
      float `+m+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        float texR = dot(vec4(row, col, depth, depth2),
          vec4(`+p[1]*p[2]*p[3]*p[4]+`,
               `+p[2]*p[3]*p[4]+`,
               `+p[3]*p[4]+`,
               `+p[4]+`)) + float(depth3);
        int texC = depth4;
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+s+".0, "+Ze+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var u=In(l);return`
    float `+m+`(int row, int col, int depth,
                  int depth2, int depth3, int depth4) {
      // Explicitly use integer operations as dot() only works on floats.
      int index = row * `+De+" + col * "+Ce+" + depth * "+be+` +
          depth2 * `+Z+" + depth3 * "+G+" + depth4 + "+u+`;
      vec2 uv = uvFromFlat(`+Ze+", "+s+`, index);
      return sampleTexture(`+l+`, uv);
    }
  `}function ii(f){var p=f.name,l=i.util.sizeFromShape(f.shapeInfo.logicalShape);return l<2?"return "+p+";":`
    for (int i = 0; i < `+l+`; i++) {
      if (i == index) {
        return `+p+`[i];
      }
    }
  `}function qr(f,p){var l=f.name,m=l.charAt(0).toUpperCase()+l.slice(1),g="get"+m+"AtOutCoords",I=f.shapeInfo.logicalShape.length,R=p.logicalShape.length,z=ma(f.shapeInfo.logicalShape,p.logicalShape),L=nn(R),G=R-I,Z,be=["x","y","z","w","u","v"];I===0?Z="":R<2&&z.length>=1?Z="coords = 0;":Z=z.map(function(o){return"coords."+be[o+G]+" = 0;"}).join(`
`);var Ce="";R<2&&I>0?Ce="coords":Ce=f.shapeInfo.logicalShape.map(function(o,h){return"coords."+be[h+G]}).join(", ");var De="return outputValue;",Te=i.util.sizeFromShape(f.shapeInfo.logicalShape),Ge=Te===1,Ze=i.util.sizeFromShape(p.logicalShape),s=Ze===1;if(I===1&&!Ge&&!s)De=`
      return vec4(outputValue.xy, outputValue.xy);
    `;else if(Ge&&!s)R===1?De=`
        return vec4(outputValue.x, outputValue.x, 0., 0.);
      `:De=`
        return vec4(outputValue.x);
      `;else if(z.length){var u=I-2,r=I-1;z.indexOf(u)>-1&&z.indexOf(r)>-1?De="return vec4(outputValue.x);":z.indexOf(u)>-1?De="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":z.indexOf(r)>-1&&(De="return vec4(outputValue.xx, outputValue.zz);")}return`
    vec4 `+g+`() {
      `+L+` coords = getOutputCoords();
      `+Z+`
      vec4 outputValue = get`+m+"("+Ce+`);
      `+De+`
    }
  `}function Io(f,p){var l=f.name,m=l.charAt(0).toUpperCase()+l.slice(1),g="get"+m+"AtOutCoords",I=p.texShape,R=f.shapeInfo.texShape,z=f.shapeInfo.logicalShape.length,L=p.logicalShape.length;if(!f.shapeInfo.isUniform&&z===L&&f.shapeInfo.flatOffset==null&&i.util.arraysEqual(R,I))return`
      float `+g+`() {
        return sampleTexture(`+l+`, resultUV);
      }
    `;var G=nn(L),Z=ma(f.shapeInfo.logicalShape,p.logicalShape),be=L-z,Ce,De=["x","y","z","w","u","v"];z===0?Ce="":L<2&&Z.length>=1?Ce="coords = 0;":Ce=Z.map(function(Ge){return"coords."+De[Ge+be]+" = 0;"}).join(`
`);var Te="";return L<2&&z>0?Te="coords":Te=f.shapeInfo.logicalShape.map(function(Ge,Ze){return"coords."+De[Ze+be]}).join(", "),`
    float `+g+`() {
      `+G+` coords = getOutputCoords();
      `+Ce+`
      return get`+m+"("+Te+`);
    }
  `}function nn(f){if(f<=1)return"int";if(f===2)return"ivec2";if(f===3)return"ivec3";if(f===4)return"ivec4";if(f===5)return"ivec5";if(f===6)return"ivec6";throw Error("GPU for rank "+f+" is not yet supported")}function qa(f,p){var l=JSON.parse(JSON.stringify(f));return l.shapeInfo.logicalShape=p,l}function La(f,p){return p.map(function(l){return f[l]}).join(", ")}var Ki=function(){function f(p,l,m,g){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,i.util.assert(p.length>2,function(){return"Packed arg"+(m.charAt(0).toUpperCase()+m.slice(1))+" supports only inputs with rank above 2."});var I=p[p.length-1],R=Math.ceil(I/l);this.outputShape=p.slice(0,-1),R>1&&this.outputShape.push(R),g||this.variableNames.push("bestIndicesA");var z=this.outputShape,L=z.length,G=nn(L),Z=Vr("coords",L),be,Ce;if(R===1){Ce=L+1;var De=nn(Ce);be=`
        `+De+" sourceLocR = "+De+"("+Z.join()+`, 0);
        ++`+Z[L-1]+`;
        `+De+" sourceLocG = "+De+"("+Z.join()+`, 0);
        ++`+Z[L-2]+`;
        `+De+" sourceLocA = "+De+"("+Z.join()+`, 0);
        --`+Z[L-1]+`;
        `+De+" sourceLocB = "+De+"("+Z.join()+`, 0);
        --`+Z[L-2]+";"}else Ce=L,be=`
        `+G+` sourceLocR = coords;
        ++`+Z[L-1]+`;
        `+G+` sourceLocG = coords;
        ++`+Z[L-2]+`;
        `+G+` sourceLocA = coords;
        --`+Z[L-1]+`;
        `+G+` sourceLocB = coords;
        --`+Z[L-2]+";";var Te=["x","y","z","w","u","v"].slice(0,Ce),Ge="."+Te[Ce-1],Ze=Te.map(function(q){return"int "+q}),s=Vr("sourceLocR",Ce-1).concat("inIdx.r"),u=Vr("sourceLocG",Ce-1).concat("inIdx.g"),r=Vr("sourceLocB",Ce-1).concat("inIdx.b"),o=Vr("sourceLocA",Ce-1).concat("inIdx.a"),h=m==="max"?"greaterThan":"lessThan",b=g?"":`
          inIdx = round(vec4(getBestIndicesAChannel(`+s.join()+`),
                             getBestIndicesAChannel(`+u.join()+`),
                             getBestIndicesAChannel(`+r.join()+`),
                             getBestIndicesAChannel(`+o.join()+")));",T=`vec4(
            getAChannel(`+s.join()+`),
            hasNextCol ? getAChannel(`+u.join()+`) : 0.,
            hasNextRow ? getAChannel(`+r.join()+`) : 0.,
            hasNextRow && hasNextCol ? getAChannel(`+o.join()+") : 0.)",M=g?"":`
      float getBestIndicesAChannel(`+Ze.join()+`) {
        return getChannel(getBestIndicesA(`+Te.join()+`),
                                          vec2(`+Te.slice(-2).join()+`));
      }`;this.userCode=`
      float getAChannel(`+Ze.join()+`) {
        return getChannel(getA(`+Te.join()+`),
                               vec2(`+Te.slice(-2).join()+`));
      }
      `+M+`
      void main() {
        `+G+` coords = getOutputCoords();
        bool hasNextCol = `+Z[L-1]+" < "+(z[L-1]-1)+`;
        bool hasNextRow = `+Z[L-2]+" < "+(z[L-2]-1)+`;
        `+be+`
        ivec4 srcIdx = ivec4(sourceLocR`+Ge+", sourceLocG"+Ge+`,
          sourceLocB`+Ge+", sourceLocA"+Ge+") * "+l+`;
        ivec4 inIdx = srcIdx;
        vec4 bestIndex = vec4(inIdx);
        vec4 bestValue = `+T+`;

        for (int i = 0; i < `+l+`; i++) {
          inIdx = srcIdx;
          `+b+`
          vec4 candidate = `+T+`;
          bvec4 nan = isnan(candidate);
          bvec4 replace = bvec4(
            vec4(`+h+`(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));

          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,
                           replace.y  ? candidate.y : bestValue.y,
                           replace.z  ? candidate.z : bestValue.z,
                           replace.w  ? candidate.w : bestValue.w);
          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
          srcIdx++;
        }
        setOutput(bestIndex);
      }
    `}return f}(),oi=function(){function f(p){this.variableNames=["dy"],this.outputShape=p.inShape;var l=p.filterHeight,m=p.filterWidth,g=p.strideHeight,I=p.strideWidth,R=p.dilationHeight,z=p.dilationWidth,L=p.effectiveFilterHeight,G=p.effectiveFilterWidth,Z=L-1-p.padInfo.top,be=G-1-p.padInfo.left,Ce=1/(l*m);this.userCode=`
      const ivec2 pads = ivec2(`+Z+", "+be+`);
      const float avgMultiplier = float(`+Ce+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];

        ivec2 dyRCCorner = coords.yz - pads;
        int dyRCorner = dyRCCorner.x;
        int dyCCorner = dyRCCorner.y;

        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;
        for (int wR = 0; wR < `+L+`;
            wR += `+R+`) {
          float dyR = float(dyRCorner + wR) / `+g+`.0;

          if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 || fract(dyR) > 0.0) {
            continue;
          }
          int idyR = int(dyR);

          for (int wC = 0; wC < `+G+`;
            wC+= `+z+`) {
            float dyC = float(dyCCorner + wC) / `+I+`.0;

            if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                fract(dyC) > 0.0) {
              continue;
            }
            int idyC = int(dyC);

            float dyValue = getDy(b, idyR, idyC, d);

            dotProd += dyValue * avgMultiplier;
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),Pi=function(){function f(p){this.variableNames=["dy"],this.outputShape=p.inShape;var l=p.filterDepth,m=p.filterHeight,g=p.filterWidth,I=p.strideDepth,R=p.strideHeight,z=p.strideWidth,L=p.dilationDepth,G=p.dilationHeight,Z=p.dilationWidth,be=p.effectiveFilterDepth,Ce=p.effectiveFilterHeight,De=p.effectiveFilterWidth,Te=be-1-p.padInfo.front,Ge=Ce-1-p.padInfo.top,Ze=De-1-p.padInfo.left,s=1/(l*m*g);this.userCode=`
      const ivec3 pads = ivec3(`+Te+", "+Ge+", "+Ze+`);
      const float avgMultiplier = float(`+s+`);

      void main() {
        ivec5 coords = getOutputCoords();
        int batch = coords.x;
        int ch = coords.u;

        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
        int dyDCorner = dyCorner.x;
        int dyRCorner = dyCorner.y;
        int dyCCorner = dyCorner.z;

        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
        // dx(xD, xR, xC, ch).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;

        for (int wD = 0; wD < `+be+`;
            wD += `+L+`) {
          float dyD = float(dyDCorner + wD) / `+I+`.0;

          if (dyD < 0.0 || dyD >= `+p.outDepth+`.0 || fract(dyD) > 0.0) {
            continue;
          }
          int idyD = int(dyD);

          for (int wR = 0; wR < `+Ce+`;
              wR += `+G+`) {
            float dyR = float(dyRCorner + wR) / `+R+`.0;

            if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 ||
                fract(dyR) > 0.0) {
              continue;
            }
            int idyR = int(dyR);

            for (int wC = 0; wC < `+De+`;
                wC += `+Z+`) {
              float dyC = float(dyCCorner + wC) / `+z+`.0;

              if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                  fract(dyC) > 0.0) {
                continue;
              }
              int idyC = int(dyC);

              float dyValue = getDy(batch, idyD, idyR, idyC, ch);

              dotProd += dyValue * avgMultiplier;
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),no=`
  if (isnan(a)) return a;
  if (isnan(b)) return b;
`,mo=`
  float s = sign(a) * sign(b);
  int ia = round(a);
  int ib = round(b);
  if (ib != 0) {
    // Windows (D3D) wants guaranteed non-zero int division at compile-time.
    return float(idiv(ia, ib, s));
  } else {
    return NAN;
  }
`,Ka=`
if(a < 0.0 && floor(b) < b){
  return NAN;
}
if (b == 0.0) {
  return 1.0;
}
return (round(mod(b, 2.0)) != 1) ?
    pow(abs(a), b) : sign(a) * pow(abs(a), b);
`,ao="return float(a == b);",Ko="return float(a < b);",No="return float(a <= b);",Co="return float(a > b);",io="return float(a >= b);",ia="return float(a >= 1.0 && b >= 1.0);",Pr="return float(a >= 1.0 || b >= 1.0);",oa=no+`
  return max(a, b);
`,Xa=no+`
  return min(a, b);
`,Qn=`if (b == 0.0) return NAN;
  return mod(a, b);`,oo="return (b >= 1.0) ? a : a * (b + 1.0);",ka="return (a < 0.) ? b * a : a;",vn=function(){function f(p,l,m){this.variableNames=["A","B"],this.outputShape=i.backend_util.assertAndGetBroadcastShape(l,m),this.userCode=`
      float binaryOperation(float a, float b) {
        `+p+`
      }

      void main() {
        float a = getAAtOutCoords();
        float b = getBAtOutCoords();
        setOutput(binaryOperation(a, b));
      }
    `}return f}(),Bi=`
  result.r = isNaN.r > 0. ? NAN : result.r;
  result.g = isNaN.g > 0. ? NAN : result.g;
  result.b = isNaN.b > 0. ? NAN : result.b;
  result.a = isNaN.a > 0. ? NAN : result.a;
`,yo=`
  ivec4 ia = round(a);
  ivec4 ib = round(b);
  bvec4 cond = notEqual(ib, ivec4(0));
  ivec4 result = ivec4(0);
  vec4 s = sign(a) * sign(b);

  // Windows (D3D) wants guaranteed non-zero int division at compile-time.
  if (cond[0]) {
    result[0] = idiv(ia[0], ib[0], s[0]);
  }
  if (cond[1]) {
    result[1] = idiv(ia[1], ib[1], s[1]);
  }
  if (cond[2]) {
    result[2] = idiv(ia[2], ib[2], s[2]);
  }
  if (cond[3]) {
    result[3] = idiv(ia[3], ib[3], s[3]);
  }
  return vec4(result);
`,vo=`
  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
  vec4 result = multiplier * pow(abs(a), b);

  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
  bvec4 isExpZero = equal(b, vec4(0.0));
  result.r = isExpZero.r ? 1.0 : result.r;
  result.g = isExpZero.g ? 1.0 : result.g;
  result.b = isExpZero.b ? 1.0 : result.b;
  result.a = isExpZero.a ? 1.0 : result.a;

  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
  `+Bi+`
  return result;
`,Aa=`
  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`,go=`
  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,To=`
  return vec4(equal(a, b));
`,Rs=`
  return vec4(lessThan(a, b));
`,Eo=`
  return vec4(lessThanEqual(a, b));
`,As=`
  return vec4(greaterThan(a, b));
`,Ds=`
  return vec4(greaterThanEqual(a, b));
`,Xo=`
  return vec4(
    vec4(greaterThanEqual(a, vec4(1.0))) *
    vec4(greaterThanEqual(b, vec4(1.0))));
`,Ro=`
  return min(
    vec4(greaterThanEqual(a, vec4(1.0))) +
    vec4(greaterThanEqual(b, vec4(1.0))),
    vec4(1.0));
`,Yo=`
  vec4 result = vec4(max(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Bi+`
  return result;
`,Ao=`
  vec4 result = vec4(min(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Bi+`
  return result;
`,Qo=`
  vec4 result = mod(a, b);
  vec4 isNaN = vec4(equal(b, vec4(0.0)));
  `+Bi+`
  return result;
`,vi=function(){function f(p,l,m,g){g===void 0&&(g=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=i.backend_util.assertAndGetBroadcastShape(l,m);var I=this.outputShape.length,R="";if(g)if(I===0||i.util.sizeFromShape(this.outputShape)===1)R=`
          result.y = 0.;
          result.z = 0.;
          result.w = 0.;
        `;else{var z=nn(I);if(R=`
          `+z+` coords = getOutputCoords();
        `,I===1)R+=`
            result.y = (coords + 1) >= `+this.outputShape[0]+` ? 0. : result.y;
            result.z = 0.;
            result.w = 0.;
          `;else{var L=Vr("coords",I);R+=`
            bool nextRowOutOfBounds =
              (`+L[I-2]+" + 1) >= "+this.outputShape[I-2]+`;
            bool nextColOutOfBounds =
              (`+L[I-1]+" + 1) >= "+this.outputShape[I-1]+`;
            result.y = nextColOutOfBounds ? 0. : result.y;
            result.z = nextRowOutOfBounds ? 0. : result.z;
            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
          `}}this.userCode=`
      vec4 binaryOperation(vec4 a, vec4 b) {
        `+p+`
      }

      void main() {
        vec4 a = getAAtOutCoords();
        vec4 b = getBAtOutCoords();

        vec4 result = binaryOperation(a, b);
        `+R+`

        setOutput(result);
      }
    `}return f}(),Fs=function(){function f(p){this.variableNames=["A"],this.outputShape=p,this.userCode=`
      uniform float minVal;
      uniform float maxVal;

      void main() {
        float value = getAAtOutCoords();
        if (isnan(value)) {
          setOutput(value);
          return;
        }

        setOutput(clamp(value, minVal, maxVal));
      }
    `}return f.prototype.getCustomSetupFunc=function(p,l){var m=this;return function(g,I){m.minLoc==null&&(m.minLoc=g.getUniformLocationNoThrow(I,"minVal"),m.maxLoc=g.getUniformLocationNoThrow(I,"maxVal")),g.gl.uniform1f(m.minLoc,p),g.gl.uniform1f(m.maxLoc,l)}},f}(),tu=function(){function f(p){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p,this.userCode=`
      uniform float minVal;
      uniform float maxVal;

      void main() {
        vec4 value = getAAtOutCoords();

        if (any(isnan(value))) {
          setOutput(value);
          return;
        }

        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
      }
    `}return f.prototype.getCustomSetupFunc=function(p,l){var m=this;return function(g,I){m.minLoc==null&&(m.minLoc=g.getUniformLocationNoThrow(I,"minVal"),m.maxLoc=g.getUniformLocationNoThrow(I,"maxVal")),g.gl.uniform1f(m.minLoc,p),g.gl.uniform1f(m.maxLoc,l)}},f}(),ps=function(){function f(p){this.variableNames=["real","imag"],this.outputShape=p,this.userCode=`
      void main() {
        float re = abs(getRealAtOutCoords());
        float im = abs(getImagAtOutCoords());
        float mx = max(re, im);

        // sadly the length function in glsl is not underflow-safe
        // (at least not on Intel GPUs). So the safe solution is
        // to ensure underflow-safety in all cases.
        setOutput(
          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
        );
      }
    `}return f}(),ru=function(){function f(p){this.variableNames=["x","dy"],this.outputShape=p.filterShape;var l=p.strideHeight,m=p.strideWidth,g=p.padInfo.top,I=p.padInfo.left,R=p.dataFormat==="channelsLast";this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int wR = coords.x;
        int wC = coords.y;
        int d1 = coords.z;
        int d2 = coords.w;

        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;

        for (int b = 0; b < `+p.batchSize+`; b++) {
          for (int yR = 0; yR < `+p.outHeight+`; yR++) {
            int xR = wR + yR * `+l+" - "+g+`;

            if (xR < 0 || xR >= `+p.inHeight+`) {
              continue;
            }

            for (int yC = 0; yC < `+p.outWidth+`; yC++) {
              int xC = wC + yC * `+m+" - "+I+`;

              if (xC < 0 || xC >= `+p.inWidth+`) {
                continue;
              }

              if (`+R+`) {
                float dyValue = getDy(b, yR, yC, d2);
                float xValue = getX(b, xR, xC, d1);
                dotProd += (xValue * dyValue);
              } else {
                float dyValue = getDy(b, d2, yR, yC);
                float xValue = getX(b, d1, xR, xC);
                dotProd += (xValue * dyValue);
              }

            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),Os=function(){function f(p){this.variableNames=["dy","W"],this.outputShape=p.inShape;var l=p.filterHeight,m=p.filterWidth,g=p.strideHeight,I=p.strideWidth,R=p.dataFormat==="channelsLast",z=l-1-p.padInfo.top,L=m-1-p.padInfo.left,G=R?1:2,Z=R?2:3,be=R?3:1;this.userCode=`
      const ivec2 pads = ivec2(`+z+", "+L+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int batch = coords[0];
        int d1 = coords[`+be+`];

        ivec2 dyCorner = ivec2(coords[`+G+"], coords["+Z+`]) - pads;
        int dyRCorner = dyCorner.x;
        int dyCCorner = dyCorner.y;

        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;
        for (int wR = 0; wR < `+l+`; wR++) {
          float dyR = float(dyRCorner + wR) / `+g+`.0;

          if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 || fract(dyR) > 0.0) {
            continue;
          }
          int idyR = int(dyR);

          int wRPerm = `+l+` - 1 - wR;

          for (int wC = 0; wC < `+m+`; wC++) {
            float dyC = float(dyCCorner + wC) / `+I+`.0;

            if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                fract(dyC) > 0.0) {
              continue;
            }
            int idyC = int(dyC);

            int wCPerm = `+m+` - 1 - wC;

            for (int d2 = 0; d2 < `+p.outChannels+`; d2++) {

              if (`+R+`) {
                float xValue = getDy(batch, idyR, idyC, d2);
                float wValue = getW(wRPerm, wCPerm, d1, d2);
                dotProd += xValue * wValue;
              } else {
                float xValue = getDy(batch, d2, idyR, idyC);
                float wValue = getW(wRPerm, wCPerm, d1, d2);
                dotProd += xValue * wValue;
              }

            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),ds=function(){function f(p){this.variableNames=["x","dy"],this.outputShape=p.filterShape;var l=p.strideDepth,m=p.strideHeight,g=p.strideWidth,I=p.padInfo.front,R=p.padInfo.top,z=p.padInfo.left;this.userCode=`
      void main() {
        ivec5 coords = getOutputCoords();
        int wF = coords.x;
        int wR = coords.y;
        int wC = coords.z;
        int d1 = coords.w;
        int d2 = coords.u;

        float dotProd = 0.0;

        for (int b = 0; b < `+p.batchSize+`; b++) {
          for (int yF = 0; yF < `+p.outDepth+`; yF++) {
            int xF = wF + yF * `+l+" - "+I+`;

            if (xF < 0 || xF >= `+p.inDepth+`) {
              continue;
            }

            for (int yR = 0; yR < `+p.outHeight+`; yR++) {
              int xR = wR + yR * `+m+" - "+R+`;

              if (xR < 0 || xR >= `+p.inHeight+`) {
                continue;
              }

              for (int yC = 0; yC < `+p.outWidth+`; yC++) {
                int xC = wC + yC * `+g+" - "+z+`;

                if (xC < 0 || xC >= `+p.inWidth+`) {
                  continue;
                }

                float dyValue = getDy(b, yF, yR, yC, d2);
                float xValue = getX(b, xF, xR, xC, d1);
                dotProd += (xValue * dyValue);
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),Ms=function(){function f(p){this.variableNames=["dy","W"],this.outputShape=p.inShape;var l=p.filterDepth,m=p.filterHeight,g=p.filterWidth,I=p.strideDepth,R=p.strideHeight,z=p.strideWidth,L=l-1-p.padInfo.front,G=m-1-p.padInfo.top,Z=g-1-p.padInfo.left;this.userCode=`
      const ivec3 pads = ivec3(`+L+", "+G+", "+Z+`);

      void main() {
        ivec5 coords = getOutputCoords();
        int batch = coords.x;
        int d1 = coords.u;


        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
        int dyFCorner = dyCorner.x;
        int dyRCorner = dyCorner.y;
        int dyCCorner = dyCorner.z;

        float dotProd = 0.0;
        for (int wF = 0; wF < `+l+`; wF++) {
          float dyF = float(dyFCorner + wF) / `+I+`.0;

          if (dyF < 0.0 || dyF >= `+p.outDepth+`.0 || fract(dyF) > 0.0) {
            continue;
          }
          int idyF = int(dyF);

          int wFPerm = `+l+` - 1 - wF;

          for (int wR = 0; wR < `+m+`; wR++) {
            float dyR = float(dyRCorner + wR) / `+R+`.0;

            if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 ||
              fract(dyR) > 0.0) {
              continue;
            }
            int idyR = int(dyR);

            int wRPerm = `+m+` - 1 - wR;

            for (int wC = 0; wC < `+g+`; wC++) {
              float dyC = float(dyCCorner + wC) / `+z+`.0;

              if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                  fract(dyC) > 0.0) {
                continue;
              }
              int idyC = int(dyC);

              int wCPerm = `+g+` - 1 - wC;

              for (int d2 = 0; d2 < `+p.outChannels+`; d2++) {
                float xValue = getDy(batch, idyF, idyR, idyC, d2);
                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
                dotProd += xValue * wValue;
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),Ls=function(){function f(p){this.variableNames=["x","dy"],this.outputShape=p.filterShape;var l=p.strideHeight,m=p.strideWidth,g=p.padInfo.top,I=p.padInfo.left,R=p.outChannels/p.inChannels;this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int wR = coords.x;
        int wC = coords.y;
        int d1 = coords.z;
        int dm = coords.w;
        int d2 = d1 * `+R+` + dm;

        float dotProd = 0.0;

        // TO DO: Vec4 over the batch size
        for (int b = 0; b < `+p.batchSize+`; b++) {
          for (int yR = 0; yR < `+p.outHeight+`; yR++) {
            int xR = wR + yR * `+l+" - "+g+`;

            if (xR < 0 || xR >= `+p.inHeight+`) {
              continue;
            }

            for (int yC = 0; yC < `+p.outWidth+`; yC++) {
              int xC = wC + yC * `+m+" - "+I+`;

              if (xC < 0 || xC >= `+p.inWidth+`) {
                continue;
              }

              float dyValue = getDy(b, yR, yC, d2);
              float xValue = getX(b, xR, xC, d1);
              dotProd += (xValue * dyValue);
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),nu=function(){function f(p){this.variableNames=["dy","W"],this.outputShape=p.inShape;var l=p.filterHeight,m=p.filterWidth,g=p.strideHeight,I=p.strideWidth,R=l-1-p.padInfo.top,z=m-1-p.padInfo.left,L=p.outChannels/p.inChannels;this.userCode=`
      const ivec2 pads = ivec2(`+R+", "+z+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int batch = coords[0];
        int d1 = coords[3];
        ivec2 dyCorner = coords.yz - pads;
        int dyRCorner = dyCorner.x;
        int dyCCorner = dyCorner.y;

        float dotProd = 0.0;

        for (int wR = 0; wR < `+l+`; wR++) {
          float dyR = float(dyRCorner + wR) / `+g+`.0;

          if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 || fract(dyR) > 0.0) {
            continue;
          }
          int idyR = int(dyR);

          int wRPerm = `+l+` - 1 - wR;

          for (int wC = 0; wC < `+m+`; wC++) {
            float dyC = float(dyCCorner + wC) / `+I+`.0;

            if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                fract(dyC) > 0.0) {
              continue;
            }
            int idyC = int(dyC);

            int wCPerm = `+m+` - 1 - wC;

            // TO DO: Vec4 over the channelMul
            for (int dm = 0; dm < `+L+`; dm++) {
              int d2 = d1 * `+L+` + dm;
              float xValue = getDy(batch, idyR, idyC, d2);
              float wValue = getW(wRPerm, wCPerm, d1, dm);
              dotProd += xValue * wValue;
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),fs=function(){function f(p,l,m,g){l===void 0&&(l=!1),m===void 0&&(m=null),g===void 0&&(g=!1),this.variableNames=["x","W"],this.outputShape=p.outShape;var I=p.padInfo.top,R=p.padInfo.left,z=p.strideHeight,L=p.strideWidth,G=p.dilationHeight,Z=p.dilationWidth,be=p.filterHeight,Ce=p.filterWidth,De=Math.floor(p.inChannels/4)*4,Te=p.inChannels%4,Ge=p.dataFormat==="channelsLast",Ze=Ge?1:2,s=Ge?2:3,u=Ge?3:1,r="",o="";m&&(g?r=`float activation(float a) {
          float b = getPreluActivationWeightsAtOutCoords();
          `+m+`
        }`:r=`
          float activation(float x) {
            `+m+`
          }
        `,o="result = activation(result);");var h=l?"result += getBiasAtOutCoords();":"";l&&this.variableNames.push("bias"),g&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+r+`

      const ivec2 strides = ivec2(`+z+", "+L+`);
      const ivec2 pads = ivec2(`+I+", "+R+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int batch = coords[0];
        int d2 = coords[`+u+`];

        ivec2 xRCCorner =
            ivec2(coords[`+Ze+"], coords["+s+`]) * strides - pads;
        int xRCorner = xRCCorner.x;
        int xCCorner = xRCCorner.y;

        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;
        for (int wR = 0; wR < `+be+`; wR++) {
          int xR = xRCorner + wR * `+G+`;

          if (xR < 0 || xR >= `+p.inHeight+`) {
            continue;
          }

          for (int wC = 0; wC < `+Ce+`; wC++) {
            int xC = xCCorner + wC * `+Z+`;

            if (xC < 0 || xC >= `+p.inWidth+`) {
              continue;
            }

            for (int d1 = 0; d1 < `+De+`; d1 += 4) {
              vec4 wValues = vec4(
                getW(wR, wC, d1, d2),
                getW(wR, wC, d1 + 1, d2),
                getW(wR, wC, d1 + 2, d2),
                getW(wR, wC, d1 + 3, d2)
              );

              if (`+Ge+`) {
                vec4 xValues = vec4(
                  getX(batch, xR, xC, d1),
                  getX(batch, xR, xC, d1 + 1),
                  getX(batch, xR, xC, d1 + 2),
                  getX(batch, xR, xC, d1 + 3)
                );
                dotProd += dot(xValues, wValues);
              } else {
                vec4 xValues = vec4(
                  getX(batch, d1, xR, xC),
                  getX(batch, d1 + 1, xR, xC),
                  getX(batch, d1 + 2, xR, xC),
                  getX(batch, d1 + 3, xR, xC)
                );
                dotProd += dot(xValues, wValues);
              }
            }

            if (`+(Te===1)+`) {

              if (`+Ge+`) {
                dotProd +=
                    getX(batch, xR, xC, `+De+`) *
                    getW(wR, wC, `+De+`, d2);
              } else {
                dotProd +=
                    getX(batch, `+De+`, xR, xC) *
                    getW(wR, wC, `+De+`, d2);
              }

            } else if (`+(Te===2)+`) {
              vec2 wValues = vec2(
                getW(wR, wC, `+De+`, d2),
                getW(wR, wC, `+De+` + 1, d2)
              );

              if (`+Ge+`) {
                vec2 xValues = vec2(
                  getX(batch, xR, xC, `+De+`),
                  getX(batch, xR, xC, `+De+` + 1)
                );
                dotProd += dot(xValues, wValues);
              } else {
                vec2 xValues = vec2(
                  getX(batch, `+De+`, xR, xC),
                  getX(batch, `+De+` + 1, xR, xC)
                );
                dotProd += dot(xValues, wValues);
              }

            } else if (`+(Te===3)+`) {
              vec3 wValues = vec3(
                getW(wR, wC, `+De+`, d2),
                getW(wR, wC, `+De+` + 1, d2),
                getW(wR, wC, `+De+` + 2, d2)
              );

              if (`+Ge+`) {
                vec3 xValues = vec3(
                  getX(batch, xR, xC, `+De+`),
                  getX(batch, xR, xC, `+De+` + 1),
                  getX(batch, xR, xC, `+De+` + 2)
                );
                dotProd += dot(xValues, wValues);
              } else {
                vec3 xValues = vec3(
                  getX(batch, `+De+`, xR, xC),
                  getX(batch, `+De+` + 1, xR, xC),
                  getX(batch, `+De+` + 2, xR, xC)
                );
                dotProd += dot(xValues, wValues);
              }

            }
          }
        }

        float result = dotProd;
        `+h+`
        `+o+`
        setOutput(result);
      }
    `}return f}(),au=function(){function f(p){this.variableNames=["x","W"],this.outputShape=p.outShape;var l=p.padInfo.front,m=p.padInfo.top,g=p.padInfo.left,I=p.strideDepth,R=p.strideHeight,z=p.strideWidth,L=p.dilationDepth,G=p.dilationHeight,Z=p.dilationWidth,be=p.filterDepth,Ce=p.filterHeight,De=p.filterWidth,Te=Math.floor(p.inChannels/4)*4,Ge=p.inChannels%4;this.userCode=`
      const ivec3 strides = ivec3(`+I+", "+R+", "+z+`);
      const ivec3 pads = ivec3(`+l+", "+m+", "+g+`);

      void main() {
        ivec5 coords = getOutputCoords();
        int batch = coords.x;
        int d2 = coords.u;

        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
        int xFCorner = xFRCCorner.x;
        int xRCorner = xFRCCorner.y;
        int xCCorner = xFRCCorner.z;

        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
        // y(yF, yR, yC, d2). ? = to be determined. : = across all
        // values in that axis.
        float dotProd = 0.0;
        for (int wF = 0; wF < `+be+`; wF++) {
          int xF = xFCorner + wF * `+L+`;

          if (xF < 0 || xF >= `+p.inDepth+`) {
            continue;
          }

          for (int wR = 0; wR < `+Ce+`; wR++) {
            int xR = xRCorner + wR * `+G+`;

            if (xR < 0 || xR >= `+p.inHeight+`) {
              continue;
            }

            for (int wC = 0; wC < `+De+`; wC++) {
              int xC = xCCorner + wC * `+Z+`;

              if (xC < 0 || xC >= `+p.inWidth+`) {
                continue;
              }

              for (int d1 = 0; d1 < `+Te+`; d1 += 4) {
                vec4 xValues = vec4(
                  getX(batch, xF, xR, xC, d1),
                  getX(batch, xF, xR, xC, d1 + 1),
                  getX(batch, xF, xR, xC, d1 + 2),
                  getX(batch, xF, xR, xC, d1 + 3)
                );
                vec4 wValues = vec4(
                  getW(wF, wR, wC, d1, d2),
                  getW(wF, wR, wC, d1 + 1, d2),
                  getW(wF, wR, wC, d1 + 2, d2),
                  getW(wF, wR, wC, d1 + 3, d2)
                );

                dotProd += dot(xValues, wValues);
              }

              if (`+(Ge===1)+`) {
                dotProd +=
                  getX(batch, xF, xR, xC, `+Te+`) *
                  getW(wF, wR, wC, `+Te+`, d2);
              } else if (`+(Ge===2)+`) {
                vec2 xValues = vec2(
                  getX(batch, xF, xR, xC, `+Te+`),
                  getX(batch, xF, xR, xC, `+Te+` + 1)
                );
                vec2 wValues = vec2(
                  getW(wF, wR, wC, `+Te+`, d2),
                  getW(wF, wR, wC, `+Te+` + 1, d2)
                );
                dotProd += dot(xValues, wValues);
              } else if (`+(Ge===3)+`) {
                vec3 xValues = vec3(
                  getX(batch, xF, xR, xC, `+Te+`),
                  getX(batch, xF, xR, xC, `+Te+` + 1),
                  getX(batch, xF, xR, xC, `+Te+` + 2)
                );
                vec3 wValues = vec3(
                  getW(wF, wR, wC, `+Te+`, d2),
                  getW(wF, wR, wC, `+Te+` + 1, d2),
                  getW(wF, wR, wC, `+Te+` + 2, d2)
                );
                dotProd += dot(xValues, wValues);
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),ms=function(){function f(p,l,m,g){l===void 0&&(l=!1),m===void 0&&(m=null),g===void 0&&(g=!1),this.variableNames=["x","W"],this.outputShape=p.outShape;var I=p.inHeight,R=p.inWidth,z=p.padInfo.top,L=p.padInfo.left,G=p.strideHeight,Z=p.strideWidth,be=p.dilationHeight,Ce=p.dilationWidth,De=p.filterHeight,Te=p.filterWidth,Ge=p.outChannels/p.inChannels,Ze="",s="";m&&(g?Ze=`float activation(float a) {
          float b = getPreluActivationWeightsAtOutCoords();
          `+m+`
        }`:Ze=`
          float activation(float x) {
            `+m+`
          }
        `,s="result = activation(result);");var u=l?"result += getBiasAtOutCoords();":"";l&&this.variableNames.push("bias"),g&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+Ze+`

      const ivec2 strides = ivec2(`+G+", "+Z+`);
      const ivec2 pads = ivec2(`+z+", "+L+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int batch = coords.x;
        ivec2 xRCCorner = coords.yz * strides - pads;
        int d2 = coords.w;
        int d1 = d2 / `+Ge+`;
        int q = d2 - d1 * `+Ge+`;

        int xRCorner = xRCCorner.x;
        int xCCorner = xRCCorner.y;

        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;
        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
        for (int wR = 0; wR < `+De+`; wR++) {
          int xR = xRCorner + wR * `+be+`;

          if (xR < 0 || xR >= `+I+`) {
            continue;
          }

          for (int wC = 0; wC < `+Te+`; wC++) {
            int xC = xCCorner + wC * `+Ce+`;

            if (xC < 0 || xC >= `+R+`) {
              continue;
            }

            float xVal = getX(batch, xR, xC, d1);
            float wVal = getW(wR, wC, d1, q);
            dotProd += xVal * wVal;
          }
        }

        float result = dotProd;
        `+u+`
        `+s+`
        setOutput(result);
      }
    `}return f}(),Do=function(){function f(p,l,m,g){l===void 0&&(l=!1),m===void 0&&(m=null),g===void 0&&(g=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p.outShape;for(var I=p.inHeight,R=p.inWidth,z=p.padInfo.top,L=p.padInfo.left,G=p.strideHeight,Z=p.strideWidth,be=p.dilationHeight,Ce=p.dilationWidth,De=p.filterHeight,Te=p.filterWidth,Ge=Te,Ze="int xR; int xC; int xCOffset;",s=0;s<De;s++)for(var u=0;u<Te;u++)Ze+=`
          vec4 xTexelR`+s+"C"+u*2+` = vec4(0.);
          vec4 wR`+s+"C"+u+` = vec4(0.);
          vec4 xR`+s+"C"+u+" = vec4(0.);";for(var s=0;s<De;s++)for(var r=0;r<Ge;r++){var u=r*2;if(Ze+=`
          xR = xRCorner + `+s*be+`;
          xC = xCCorner + `+u*Ce+`;
        `,Z===1){if(u<Te&&(L%2===1?Ze+=`
                xCOffset = xC + 1;
                if(xR >= 0 && xR < `+I+" && xCOffset >= 0 && xCOffset < "+R+`) {
                  xTexelR`+s+"C"+u+` = getX(batch, xR, xCOffset, d1);

                  // Need to manually clear unused channels in case
                  // we're reading from recycled texture.
                  if(xCOffset + 1 >= `+R+`) {
                    xTexelR`+s+"C"+u+`.zw = vec2(0.);
                  }
                } else {
                  xTexelR`+s+"C"+u+` = vec4(0.);
                }

                xCOffset = xC + 1 - 2;
                if(xR >= 0 && xR < `+I+" && xCOffset >= 0 && xCOffset < "+R+`) {
                  vec4 previous = getX(batch, xR, xCOffset, d1);

                  // Need to manually clear unused channels in case
                  // we're reading from recycled texture.
                  if(xCOffset + 1 >= `+R+`) {
                    previous.zw = vec2(0.);
                  }

                  xR`+s+"C"+u+" = vec4(previous.zw, xTexelR"+s+"C"+u+`.xy);
                } else {
                  xR`+s+"C"+u+" = vec4(0, 0, xTexelR"+s+"C"+u+`.xy);
                }
              `:Ze+=`
                if(xR >= 0 && xR < `+I+" && xC >= 0 && xC < "+R+`) {
                  xTexelR`+s+"C"+u+` = getX(batch, xR, xC, d1);
                } else {
                  xTexelR`+s+"C"+u+` = vec4(0.);
                }

                xR`+s+"C"+u+" = xTexelR"+s+"C"+u+`;
              `,u+1<Te)){var o=L%2===0?i.util.nearestLargerEven(Ce):Ce;Ce%2===0&&L%2===1||Ce%2!==0&&L%2!==1?(Ze+=`
                  xCOffset = xC + `+L%2+" + "+o+`;

                  if(xR >= 0 && xR < `+I+` &&
                    xCOffset >= 0 && xCOffset < `+R+`) {
                    xTexelR`+s+"C"+(u+2)+` = getX(batch, xR, xCOffset, d1);
                  }
                `,Ce>1&&(Ze+=`
                    xCOffset -= 2;
                    if(xR >= 0 && xR < `+I+` &&
                      xCOffset >= 0 && xCOffset < `+R+`) {
                      xTexelR`+s+"C"+u+` = getX(batch, xR, xCOffset, d1);
                    } else {
                      xTexelR`+s+"C"+u+` = vec4(0.);
                    }
                  `),Ze+=`
                  xR`+s+"C"+(u+1)+` = vec4(
                    xTexelR`+s+"C"+u+".zw, xTexelR"+s+"C"+(u+2)+`.xy);
                `):Ze+=`
                  xCOffset = xC + `+o+`;

                  if(xR >= 0 && xR < `+I+` &&
                    xCOffset >= 0 && xCOffset < `+R+`) {
                    xTexelR`+s+"C"+(u+2)+` = getX(batch, xR, xCOffset, d1);
                  }

                  xR`+s+"C"+(u+1)+" = xTexelR"+s+"C"+(u+2)+`;
                `}}else u<Te&&(Ze+=`
              if(xR >= 0 && xR < `+I+`) {
            `,L%2===1?(Ze+=`
                xCOffset = xC + 1 - `+Z+`;
                if(xCOffset >= 0 && xCOffset < `+R+`) {
                  xTexelR`+s+"C"+u+` = getX(batch, xR, xCOffset, d1);
                } else {
                  xTexelR`+s+"C"+u+` = vec4(0.);
                }

                if(xC + 1 >= 0 && xC + 1 < `+R+`) {
                  xTexelR`+s+"C"+(u+2)+` = getX(batch, xR, xC + 1, d1);
                } else {
                  xTexelR`+s+"C"+(u+2)+` = vec4(0.);
                }

                xR`+s+"C"+u+` = vec4(
                  xTexelR`+s+"C"+u+".zw, xTexelR"+s+"C"+(u+2)+`.zw);
              `,u+1<Te&&(Ze+=`
                  vec4 final = vec4(0.);
                  xCOffset = xC + 1 + `+Z+`;
                  if(xCOffset >= 0 && xCOffset < `+R+`) {
                    final = getX(batch, xR, xCOffset, d1);
                  }
                  xR`+s+"C"+(u+1)+" = vec4(xTexelR"+s+"C"+(u+2)+`.xy, final.xy);
                `)):(Ze+=`
                if(xC >= 0 && xC < `+R+`) {
                  xTexelR`+s+"C"+u+` = getX(batch, xR, xC, d1);
                } else {
                  xTexelR`+s+"C"+u+` = vec4(0.);
                }

                xCOffset = xC + `+Z+`;
                if(xCOffset >= 0 && xCOffset < `+R+`) {
                  xTexelR`+s+"C"+(u+2)+` = getX(batch, xR, xCOffset, d1);
                } else {
                  xTexelR`+s+"C"+(u+2)+` = vec4(0.);
                }

                xR`+s+"C"+u+` = vec4(
                  xTexelR`+s+"C"+u+".xy, xTexelR"+s+"C"+(u+2)+`.xy);
              `,u+1<Te&&(Ze+=`
                  xR`+s+"C"+(u+1)+` = vec4(
                    xTexelR`+s+"C"+u+".zw, xTexelR"+s+"C"+(u+2)+`.zw);
                `)),Ze+="}");u<Te&&(Ze+=`
            vec4 wTexelR`+s+"C"+u+" = getW("+s+", "+u+`, d1, q);
            wR`+s+"C"+u+" = vec4(wTexelR"+s+"C"+u+".xz, wTexelR"+s+"C"+u+`.xz);
          `,u+1<Te&&(Ze+=`
              vec4 wTexelR`+s+"C"+(u+1)+" = getW("+s+", "+(u+1)+`, d1, q);
              wR`+s+"C"+(u+1)+` =
                vec4(wTexelR`+s+"C"+(u+1)+".xz, wTexelR"+s+"C"+(u+1)+".xz);"))}for(var s=0;s<De;s++)for(var u=0;u<Te;u++)Ze+="dotProd += xR"+s+"C"+u+" * wR"+s+"C"+u+";";var h="",b="";m&&(g?h=`vec4 activation(vec4 a) {
          vec4 b = getPreluActivationWeightsAtOutCoords();
          `+m+`
        }`:h=`vec4 activation(vec4 x) {
          `+m+`
        }`,b="result = activation(result);");var T=l?"result += getBiasAtOutCoords();":"";l&&this.variableNames.push("bias"),g&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+h+`

      const ivec2 strides = ivec2(`+G+", "+Z+`);
      const ivec2 pads = ivec2(`+z+", "+L+`);

      void main() {

        ivec4 coords = getOutputCoords();
        int batch = coords.x;
        ivec2 xRCCorner = coords.yz * strides - pads;
        int d2 = coords.w;
        int d1 = d2;
        int q = 0;
        int xRCorner = xRCCorner.x;
        int xCCorner = xRCCorner.y;

        vec4 dotProd = vec4(0.);

        `+Ze+`

        vec4 result = dotProd;
        `+T+`
        `+b+`
        setOutput(result);
      }
    `}return f}(),zs=function(){function f(p,l,m,g,I){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var R=p[0],z=p[1],L=p[2],G=p[3],Z=l[0],be=m[0],Ce=m[1];this.outputShape=[Z,be,Ce,G];var De=g==="bilinear"?1:0,Te=[z-1+".0",L-1+".0"],Ge=Te[0],Ze=Te[1],s=be>1?[""+(z-1)/(be-1),"(y2-y1) * height_ratio","y1*"+Ge+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+Ge],u=s[0],r=s[1],o=s[2],h=Ce>1?[""+(L-1)/(Ce-1),"(x2-x1) * width_ratio","x1*"+Ze+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+Ze],b=h[0],T=h[1],M=h[2];this.userCode=`
      const float height_ratio = float(`+u+`);
      const float width_ratio = float(`+b+`);
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int y = coords[1];
        int x = coords[2];
        int d = coords[3];

        // get box vals
        float y1 = getBoxes(b,0);
        float x1 = getBoxes(b,1);
        float y2 = getBoxes(b,2);
        float x2 = getBoxes(b,3);

        // get image in batch index
        int bInd = round(getBoxInd(b));
        if(bInd < 0 || bInd >= `+R+`) {
          return;
        }

        float height_scale = `+r+`;
        float width_scale = `+T+`;

        float in_y = `+o+`;
        if( in_y < 0.0 || in_y > `+Ge+` ) {
          setOutput(float(`+I+`));
          return;
        }
        float in_x = `+M+`;
        if( in_x < 0.0 || in_x > `+Ze+` ) {
          setOutput(float(`+I+`));
          return;
        }

        vec2 sourceFracIndexCR = vec2(in_x,in_y);
        if(`+De+` == 1) {
          // Compute the four integer indices.
          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));

          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);

          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);

          float top = topLeft + (topRight - topLeft) * fracCR.x;
          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
          float newValue = top + (bottom - top) * fracCR.y;
          setOutput(newValue);
        } else {
          // Compute the coordinators of nearest neighbor point.
          ivec2 sourceNearestCR = ivec2(floor(
            sourceFracIndexCR + vec2(0.5,0.5)));
          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
          setOutput(newValue);
        }
      }
    `}return f}(),Zo=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=p;var g=p.length,I=l?"0.0":"getX("+xo(g,"coords")+")",R=p[p.length-1],z="",L="";l?(z=m?"end != "+(R-1):"end != 0",L=m?"end + 1":"end - 1"):(z=m?"end + pow2 < "+R:"end >= pow2",L=m?"end + pow2":"end - pow2"),this.userCode=`
      uniform float index;
      void main() {
        `+nn(g)+` coords = getOutputCoords();
        int end = `+ys(g,"coords")+`;
        float val = `+I+`;
        int pow2 = int(pow(2.0, index));
        if (`+z+`) {
          int idx = `+L+`;
          `+ys(g,"coords")+` = idx;
          val += getX(`+xo(g,"coords")+`);
        }
        setOutput(val);
      }
    `}return f.prototype.getCustomSetupFunc=function(p){var l=this;return function(m,g){l.index==null&&(l.index=m.getUniformLocation(g,"index")),m.gl.uniform1f(l.index,p)}},f}();function xo(f,p){if(f===1)return""+p;if(f===2)return p+".x, "+p+".y";if(f===3)return p+".x, "+p+".y, "+p+".z";if(f===4)return p+".x, "+p+".y, "+p+".z, "+p+".w";throw Error("Cumulative sum for rank "+f+" is not yet supported")}function ys(f,p){if(f===1)return""+p;if(f===2)return p+".y";if(f===3)return p+".z";if(f===4)return p+".w";throw Error("Cumulative sum for rank "+f+" is not yet supported")}var Fo=function(){function f(p){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ae.DENSE;var l=nt(p),m=tn();this.outputShape=p,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+Rn(["r","c","d"],p)+`
        return ivec3(r, c, d);
      }

      void main() {
        ivec2 resTexRC = ivec2(resultUV.yx *
          vec2(`+l[0]+", "+l[1]+`));
        int index = 4 * (resTexRC.x * `+l[1]+` + resTexRC.y);

        vec4 result = vec4(0.);

        for (int i=0; i<4; i++) {
          int flatIndex = index + i;
          ivec3 rc = outCoordsFromFlatIndex(flatIndex);
          result[i] = getA(rc.x, rc.y, rc.z);
        }

        `+m.output+` = result;
      }
    `}return f}(),Ps=function(){function f(p){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ae.DENSE;var l=nt(p),m=tn();this.outputShape=p,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+Rn(["r","c","d"],p)+`
        return ivec3(r, c, d);
      }

      void main() {
        ivec2 resTexRC = ivec2(resultUV.yx *
          vec2(`+l[0]+", "+l[1]+`));
        int index = 4 * (resTexRC.x * `+l[1]+` + resTexRC.y);

        vec4 result = vec4(0.);

        for (int i=0; i<4; i++) {
          int flatIndex = index + i;
          ivec3 rc = outCoordsFromFlatIndex(flatIndex);
          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
        }

        `+m.output+` = result;
      }
    `}return f}(),Jo=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=[],this.outputShape=p,this.blockSize=l,this.dataFormat=m,this.userCode=`
    void main() {
      ivec4 coords = getOutputCoords();
      int b = coords[0];
      int h = `+this.getHeightCoordString()+`;
      int w = `+this.getWidthCoordString()+`;
      int d = `+this.getDepthCoordString()+`;

      int in_h = h / `+l+`;
      int offset_h = imod(h, `+l+`);
      int in_w = w / `+l+`;
      int offset_w = imod(w, `+l+`);
      int offset_d = (offset_h * `+l+` + offset_w) *
        `+this.getOutputDepthSize()+`;
      int in_d = d + offset_d;

      float result = `+this.getInputSamplingString()+`;
      setOutput(result);
    }
  `}return f.prototype.getHeightCoordString=function(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"},f.prototype.getWidthCoordString=function(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"},f.prototype.getDepthCoordString=function(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"},f.prototype.getOutputDepthSize=function(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]},f.prototype.getInputSamplingString=function(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},f}(),_o=function(){function f(p){this.variableNames=["X"],this.outputShape=[p,p],this.userCode=`
      void main() {
          ivec2 coords = getOutputCoords();
          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
          setOutput(val);
      }
    `}return f}(),wo=function(){function f(p){this.variableNames=["A"],this.outTexUsage=w.DOWNLOAD;var l=tn();this.outputShape=p,this.userCode=`
      `+aa+`

      void main() {
        float x = getAAtOutCoords();
        `+l.output+` = encode_float(x);
      }
    `}return f}(),Bs=function(){function f(p){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=w.DOWNLOAD;var l=tn();this.outputShape=p,this.userCode=`
      `+aa+`

      void main() {
        ivec3 coords = getOutputCoords();
        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
        `+l.output+` = encode_float(x);
      }
    `}return f}(),Ws=function(){function f(p,l,m){m===void 0&&(m=!1),this.variableNames=["A"];var g=tn(),I=l[0],R=l[1];this.outputShape=p;var z="result";m&&(z="floor(result * 255. + 0.5)"),this.userCode=`
      `+Kn(p)+`

      void main() {
        ivec3 coords = getOutputCoords();

        int flatIndex = getFlatIndex(coords);
        int offset = imod(flatIndex, 4);

        flatIndex = idiv(flatIndex, 4, 1.);

        int r = flatIndex / `+R+`;
        int c = imod(flatIndex, `+R+`);
        vec2 uv = (vec2(c, r) + halfCR) / vec2(`+R+".0, "+I+`.0);
        vec4 values = `+g.texture2D+`(A, uv);

        float result;

        if(offset == 0) {
          result = values[0];
        } else if(offset == 1) {
          result = values[1];
        } else if(offset == 2) {
          result = values[2];
        } else {
          result = values[3];
        }

        `+g.output+" = vec4("+z+`, 0., 0., 0.);
      }
    `}return f}(),vs=function(){function f(p,l,m){m===void 0&&(m=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var g=tn(),I=l[0],R=l[1];this.outputShape=p;var z="",L="result";m&&(L="floor(result * 255. + 0.5)");for(var G=0;G<=1;G++)for(var Z=0;Z<=1;Z++){var be=G*2+Z;z+=`
          localCoords = coords;
          if(localCoords[2] + `+Z+" < "+p[2]+`) {
            localCoords[2] += `+Z+`;
            if(localCoords[1] + `+G+" < "+p[1]+`) {
              localCoords[1] += `+G+`;

              flatIndex = getFlatIndex(localCoords);
              offset = imod(flatIndex, 4);

              flatIndex = idiv(flatIndex, 4, 1.);

              r = flatIndex / `+R+`;
              c = imod(flatIndex, `+R+`);
              uv = (vec2(c, r) + halfCR) / vec2(`+R+".0, "+I+`.0);
              values = `+g.texture2D+`(A, uv);

              if(offset == 0) {
                result[`+be+`] = values[0];
              } else if(offset == 1) {
                result[`+be+`] = values[1];
              } else if(offset == 2) {
                result[`+be+`] = values[2];
              } else {
                result[`+be+`] = values[3];
              }
            }
          }
        `}this.userCode=`
      `+Kn(p)+`

      void main() {
        ivec3 coords = getOutputCoords();

        vec4 result = vec4(0.);
        int flatIndex, r, c, offset;
        ivec3 localCoords;
        vec2 uv;
        vec4 values;

        `+z+`

        `+g.output+" = "+L+`;
      }
    `}return f}(),$o=function(){function f(p,l){this.outputShape=[],this.variableNames=["x"],this.outputShape=p,this.userCode=`
      uniform float value;
      void main() {
        // Input can be obtained from uniform value.
        setOutput(value);
      }
    `}return f.prototype.getCustomSetupFunc=function(p){var l=this;return function(m,g){l.valueLoc==null&&(l.valueLoc=m.getUniformLocationNoThrow(g,"value")),m.gl.uniform1f(l.valueLoc,p)}},f}(),iu=function(){function f(p,l,m){this.variableNames=["A","indices"];var g=p.slice();g[m]=l,this.outputShape=g,this.rank=g.length;var I=nn(this.rank),R=ku(p,m);this.userCode=`
      void main() {
        `+I+` resRC = getOutputCoords();
        setOutput(getA(`+R+`));
      }
    `}return f}();function ku(f,p){var l=f.length;if(l>4)throw Error("Gather for rank "+l+" is not yet supported");if(l===1)return"int(getIndices(resRC))";for(var m=["resRC.x","resRC.y","resRC.z","resRC.w"],g=[],I=0;I<f.length;I++)I===p?g.push("int(getIndices("+m[I]+"))"):g.push(""+m[I]);return g.join()}var ou=function(){function f(p,l,m){this.sliceDim=p,this.strides=l,this.variableNames=["x","indices"],this.outputShape=m;var g=nn(l.length),I=nn(m.length),R=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
        `+g+" strides = "+g+"("+this.strides+`);
         void main() {
          `+I+` coords = getOutputCoords();
          int flattenIndex = 0;
          for (int j = 0; j < `+this.sliceDim+`; j++) {
            int index = round(getIndices(coords[0], j));
            flattenIndex += index * `+R+`;
          }
          setOutput(getX(flattenIndex, coords[1]));
        }
      `}return f}();function Oo(f){var p=tn(),l=p.version+`
    precision highp float;
    `+p.attribute+` vec3 clipSpacePos;
    `+p.attribute+` vec2 uv;
    `+p.varyingVs+` vec2 resultUV;

    void main() {
      gl_Position = vec4(clipSpacePos, 1);
      resultUV = uv;
    }`;return Zt(f,l)}function Mo(f){var p=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return Fa(f,p)}function gs(f){var p=new Uint16Array([0,1,2,2,1,3]);return Oa(f,p)}function es(f,p,l,m,g,I){Na(p,l);var R=Wa(f),z=f.TEXTURE_2D;return Qe(f,function(){return f.bindTexture(z,R)}),Qe(f,function(){return f.texParameteri(z,f.TEXTURE_WRAP_S,f.CLAMP_TO_EDGE)}),Qe(f,function(){return f.texParameteri(z,f.TEXTURE_WRAP_T,f.CLAMP_TO_EDGE)}),Qe(f,function(){return f.texParameteri(z,f.TEXTURE_MIN_FILTER,f.NEAREST)}),Qe(f,function(){return f.texParameteri(z,f.TEXTURE_MAG_FILTER,f.NEAREST)}),Qe(f,function(){return f.texImage2D(z,0,m,p,l,0,g,I,null)}),Qe(f,function(){return f.bindTexture(f.TEXTURE_2D,null)}),R}function Si(f){return f.internalFormatFloat}function Lo(f,p,l,m){var g=ze(p,l),I=g[0],R=g[1];return es(f,I,R,Si(m),m.textureFormatFloat,f.FLOAT)}function zo(f){return f.internalFormatHalfFloat}function Xi(f,p,l,m){var g=ze(p,l),I=g[0],R=g[1];return 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f.bindTexture(f.TEXTURE_2D,null)})}function ee(f,p,l){Qe(f,function(){return f.bindTexture(f.TEXTURE_2D,p)}),l.data instanceof Uint8Array?Qe(f,function(){return f.texImage2D(f.TEXTURE_2D,0,f.RGBA,l.width,l.height,0,f.RGBA,f.UNSIGNED_BYTE,l.data)}):Qe(f,function(){return f.texImage2D(f.TEXTURE_2D,0,f.RGBA,f.RGBA,f.UNSIGNED_BYTE,l)}),Qe(f,function(){return f.bindTexture(f.TEXTURE_2D,null)})}function _e(f,p,l,m){var g=f.createBuffer();Qe(f,function(){return f.bindBuffer(f.PIXEL_PACK_BUFFER,g)});var I=4,R=4,z=I*R*p*l;return Qe(f,function(){return f.bufferData(f.PIXEL_PACK_BUFFER,z,f.STREAM_READ)}),Qe(f,function(){return f.readPixels(0,0,l,p,f.RGBA,f.FLOAT,0)}),Qe(f,function(){return f.bindBuffer(f.PIXEL_PACK_BUFFER,null)}),g}function ce(f,p,l){var m=f,g=new Float32Array(l);return m.bindBuffer(m.PIXEL_PACK_BUFFER,p),m.getBufferSubData(m.PIXEL_PACK_BUFFER,0,g),m.bindBuffer(m.PIXEL_PACK_BUFFER,null),g}function de(f,p,l,m){var g=ze(p,l),I=g[0],R=g[1],z=4,L=new Uint8Array(W(p*l,z));return Qe(f,function(){return f.readPixels(0,0,I,R,m.downloadTextureFormat,f.UNSIGNED_BYTE,L)}),new Float32Array(L.buffer)}function ye(f,p,l,m,g,I,R,z){var L=f,G=new Float32Array(nr(I,R));return L.bindBuffer(L.PIXEL_PACK_BUFFER,p),L.getBufferSubData(L.PIXEL_PACK_BUFFER,0,G),L.bindBuffer(L.PIXEL_PACK_BUFFER,null),G}function ve(f,p,l){var m=new Float32Array(p*l*4);return Qe(f,function(){return f.readPixels(0,0,l,p,f.RGBA,f.FLOAT,m)}),m}var Re={__proto__:null,createVertexShader:Oo,createVertexBuffer:Mo,createIndexBuffer:gs,getInternalFormatForFloat32MatrixTexture:Si,createFloat32MatrixTexture:Lo,getInternalFormatForFloat16MatrixTexture:zo,createFloat16MatrixTexture:Xi,getInternalFormatForUnsignedBytesMatrixTexture:ts,createUnsignedBytesMatrixTexture:ne,getInternalFormatForPackedMatrixTexture:ue,createPackedMatrixTexture:E,getInternalFormatForFloat16PackedMatrixTexture:F,createFloat16PackedMatrixTexture:A,bindVertexProgramAttributeStreams:V,uploadDenseMatrixToTexture:oe,uploadPixelDataToTexture:ee,createBufferFromOutputTexture:_e,downloadFloat32MatrixFromBuffer:ce,downloadByteEncodedFloatMatrixFromOutputTexture:de,downloadPackedMatrixFromBuffer:ye,downloadMatrixFromPackedOutputTexture:ve},Oe=function(){function f(p){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var l=i.env().getNumber("WEBGL_VERSION");p!=null?(this.gl=p,Ae(l,p)):this.gl=P(l);var m="WEBGL_color_buffer_float",g="EXT_color_buffer_half_float";if(i.env().getNumber("WEBGL_VERSION")===1){var I="OES_texture_float",R="OES_texture_half_float";if(this.textureFloatExtension=yt(this.gl,I),qn(this.gl,R))this.textureHalfFloatExtension=yt(this.gl,R);else if(i.env().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(m),qn(this.gl,g))this.colorBufferHalfFloatExtension=yt(this.gl,g);else if(i.env().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(m="EXT_color_buffer_float",qn(this.gl,m))this.colorBufferFloatExtension=this.gl.getExtension(m);else if(qn(this.gl,g))this.colorBufferHalfFloatExtension=this.gl.getExtension(g);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=Mo(this.gl),this.indexBuffer=gs(this.gl),this.framebuffer=yn(this.gl),this.textureConfig=Tt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(f.prototype,"debug",{get:function(){return i.env().getBool("DEBUG")},enumerable:!0,configurable:!0}),f.prototype.dispose=function(){var p=this;if(this.disposed)return;this.program!=null&&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."),this.outputTexture!=null&&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 l=this.gl;Qe(l,function(){return l.finish()}),Qe(l,function(){return l.bindFramebuffer(l.FRAMEBUFFER,null)}),Qe(l,function(){return l.deleteFramebuffer(p.framebuffer)}),Qe(l,function(){return l.bindBuffer(l.ARRAY_BUFFER,null)}),Qe(l,function(){return l.bindBuffer(l.ELEMENT_ARRAY_BUFFER,null)}),Qe(l,function(){return l.deleteBuffer(p.indexBuffer)}),this.disposed=!0},f.prototype.createFloat32MatrixTexture=function(p,l){return this.throwIfDisposed(),Lo(this.gl,p,l,this.textureConfig)},f.prototype.createFloat16MatrixTexture=function(p,l){return this.throwIfDisposed(),Xi(this.gl,p,l,this.textureConfig)},f.prototype.createUnsignedBytesMatrixTexture=function(p,l){return this.throwIfDisposed(),ne(this.gl,p,l,this.textureConfig)},f.prototype.uploadPixelDataToTexture=function(p,l){this.throwIfDisposed(),ee(this.gl,p,l)},f.prototype.uploadDenseMatrixToTexture=function(p,l,m,g){this.throwIfDisposed(),oe(this.gl,p,l,m,g,this.textureConfig)},f.prototype.createFloat16PackedMatrixTexture=function(p,l){return this.throwIfDisposed(),A(this.gl,p,l,this.textureConfig)},f.prototype.createPackedMatrixTexture=function(p,l){return this.throwIfDisposed(),E(this.gl,p,l,this.textureConfig)},f.prototype.deleteMatrixTexture=function(p){var l=this;this.throwIfDisposed(),this.outputTexture===p&&(_i(this.gl,this.framebuffer),this.outputTexture=null),Qe(this.gl,function(){return l.gl.deleteTexture(p)})},f.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(p,l,m){var g=this;return this.downloadMatrixDriver(p,function(){return de(g.gl,l,m,g.textureConfig)})},f.prototype.downloadPackedMatrixFromBuffer=function(p,l,m,g,I,R){return ye(this.gl,p,l,m,g,I,R,this.textureConfig)},f.prototype.downloadFloat32MatrixFromBuffer=function(p,l){return ce(this.gl,p,l)},f.prototype.createBufferFromTexture=function(p,l,m){this.bindTextureToFrameBuffer(p);var g=_e(this.gl,l,m,this.textureConfig);return this.unbindTextureToFrameBuffer(),g},f.prototype.createAndWaitForFence=function(){var p=this.createFence(this.gl);return this.pollFence(p)},f.prototype.createFence=function(p){var l=this,m,g;if(i.env().getBool("WEBGL_FENCE_API_ENABLED")){var I=p,R=I.fenceSync(I.SYNC_GPU_COMMANDS_COMPLETE,0);p.flush(),g=function(){var z=I.clientWaitSync(R,0,0);return z===I.ALREADY_SIGNALED||z===I.CONDITION_SATISFIED},m=R}else i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(m=this.beginQuery(),this.endQuery(),g=function(){return l.isQueryAvailable(m,i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):g=function(){return!0};return{query:m,isFencePassed:g}},f.prototype.downloadMatrixFromPackedTexture=function(p,l,m){var g=this;return this.downloadMatrixDriver(p,function(){return ve(g.gl,l,m)})},f.prototype.createProgram=function(p){this.throwIfDisposed();var l=this.gl,m=ar(l,p),g=Oo(l),I=jr(l);return Qe(l,function(){return l.attachShader(I,g)}),Qe(l,function(){return l.attachShader(I,m)}),_r(l,I),this.debug&&tr(l,I),this.vertexAttrsAreBound||(this.setProgram(I),this.vertexAttrsAreBound=V(l,this.program,this.vertexBuffer)),I},f.prototype.deleteProgram=function(p){var l=this;this.throwIfDisposed(),p===this.program&&(this.program=null),p!=null&&Qe(this.gl,function(){return l.gl.deleteProgram(p)})},f.prototype.setProgram=function(p){var l=this;this.throwIfDisposed(),this.program=p,this.program!=null&&this.debug&&tr(this.gl,this.program),Qe(this.gl,function(){return l.gl.useProgram(p)})},f.prototype.getUniformLocation=function(p,l,m){return m===void 0&&(m=!0),this.throwIfDisposed(),m?la(this.gl,p,l):rn(this.gl,p,l)},f.prototype.getAttributeLocation=function(p,l){var m=this;return this.throwIfDisposed(),Qe(this.gl,function(){return m.gl.getAttribLocation(p,l)})},f.prototype.getUniformLocationNoThrow=function(p,l){return this.throwIfDisposed(),this.gl.getUniformLocation(p,l)},f.prototype.setInputMatrixTexture=function(p,l,m){this.throwIfDisposed(),this.throwIfNoProgram(),Ca(this.gl,p,l,m)},f.prototype.setOutputMatrixTexture=function(p,l,m){this.setOutputMatrixTextureDriver(p,m,l)},f.prototype.setOutputPackedMatrixTexture=function(p,l,m){this.throwIfDisposed();var g=tt(l,m),I=g[0],R=g[1];this.setOutputMatrixTextureDriver(p,I,R)},f.prototype.setOutputMatrixWriteRegion=function(p,l,m,g){this.setOutputMatrixWriteRegionDriver(m,p,g,l)},f.prototype.setOutputPackedMatrixWriteRegion=function(p,l,m,g){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},f.prototype.debugValidate=function(){this.program!=null&&tr(this.gl,this.program),ha(this.gl)},f.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var p=this.gl;this.debug&&this.debugValidate(),Qe(p,function(){return p.drawElements(p.TRIANGLES,6,p.UNSIGNED_SHORT,0)})},f.prototype.blockUntilAllProgramsCompleted=function(){var p=this;this.throwIfDisposed(),Qe(this.gl,function(){return p.gl.finish()})},f.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=yt(this.gl,i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},f.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},f.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},f.prototype.beginQuery=function(){if(i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var p=this.gl,l=this.getQueryTimerExtensionWebGL2(),m=p.createQuery();return p.beginQuery(l.TIME_ELAPSED_EXT,m),m}var g=this.getQueryTimerExtensionWebGL1(),I=g.createQueryEXT();return g.beginQueryEXT(g.TIME_ELAPSED_EXT,I),I},f.prototype.endQuery=function(){if(i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var p=this.gl,l=this.getQueryTimerExtensionWebGL2();p.endQuery(l.TIME_ELAPSED_EXT);return}var m=this.getQueryTimerExtensionWebGL1();m.endQueryEXT(m.TIME_ELAPSED_EXT)},f.prototype.waitForQueryAndGetTime=function(p){return H(this,void 0,void 0,function(){var l=this;return se(this,function(m){switch(m.label){case 0:return[4,i.util.repeatedTry(function(){return l.disposed||l.isQueryAvailable(p,i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return m.sent(),[2,this.getQueryTime(p,i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},f.prototype.getQueryTime=function(p,l){if(l===0)return null;if(l===2){var m=this.gl,g=m.getQueryParameter(p,m.QUERY_RESULT);return g/1e6}else{var I=this.getQueryTimerExtensionWebGL1(),g=I.getQueryObjectEXT(p,I.QUERY_RESULT_EXT);return g/1e6}},f.prototype.isQueryAvailable=function(p,l){if(l===0)return!0;if(l===2){var m=this.gl,g=this.getQueryTimerExtensionWebGL2(),I=m.getQueryParameter(p,m.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(g.GPU_DISJOINT_EXT)),I&&!this.disjoint}else{var g=this.getQueryTimerExtensionWebGL1(),I=g.getQueryObjectEXT(p,g.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(g.GPU_DISJOINT_EXT)),I&&!this.disjoint}},f.prototype.pollFence=function(p){var l=this;return new Promise(function(m){l.addItemToPoll(function(){return p.isFencePassed()},function(){return m()})})},f.prototype.pollItems=function(){for(var p=Fe(this.itemsToPoll.map(function(g){return g.isDoneFn})),l=0;l<=p;++l){var m=this.itemsToPoll[l].resolveFn;m()}this.itemsToPoll=this.itemsToPoll.slice(p+1)},f.prototype.addItemToPoll=function(p,l){var m=this;if(this.itemsToPoll.push({isDoneFn:p,resolveFn:l}),this.itemsToPoll.length>1)return;i.util.repeatedTry(function(){return m.pollItems(),m.itemsToPoll.length===0})},f.prototype.bindTextureToFrameBuffer=function(p){this.throwIfDisposed(),Hn(this.gl,p,this.framebuffer),this.debug&&ha(this.gl)},f.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(Hn(this.gl,this.outputTexture,this.framebuffer),this.debug&&ha(this.gl)):_i(this.gl,this.framebuffer)},f.prototype.downloadMatrixDriver=function(p,l){this.bindTextureToFrameBuffer(p);var m=l();return this.unbindTextureToFrameBuffer(),m},f.prototype.setOutputMatrixTextureDriver=function(p,l,m){this.throwIfDisposed();var g=this.gl;Hn(g,p,this.framebuffer),this.debug&&ha(g),this.outputTexture=p,Qe(g,function(){return g.viewport(0,0,l,m)}),Qe(g,function(){return g.scissor(0,0,l,m)})},f.prototype.setOutputMatrixWriteRegionDriver=function(p,l,m,g){var I=this;this.throwIfDisposed(),Qe(this.gl,function(){return I.gl.scissor(p,l,m,g)})},f.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},f.prototype.throwIfNoProgram=function(){if(this.program==null)throw new Error("No GPU program is currently set.")},f}();function Fe(f){for(var p=0;p<f.length;++p){var l=f[p]();if(!l)break}return p-1}function Ve(f,p,l,m){var g=p.userCode,I=l.map(function(Ze,s){var u={logicalShape:Ze.shape,texShape:Ze.isUniform?null:Ze.texData.texShape,isUniform:Ze.isUniform,isPacked:Ze.isUniform?!1:Ze.texData.isPacked,flatOffset:null};return Ze.texData!=null&&Ze.texData.slice!=null&&Ze.texData.slice.flatOffset>0&&(u.flatOffset=Ze.texData.slice.flatOffset),{name:p.variableNames[s],shapeInfo:u}}),R=I.map(function(Ze){return Ze.shapeInfo}),z={logicalShape:m.shape,texShape:m.texData.texShape,isUniform:!1,isPacked:m.texData.isPacked,flatOffset:null},L=Li(I,z,g,p.packedInputs),G=f.createProgram(L),Z=null,be=f.getUniformLocation(G,"NAN",!1);i.env().getNumber("WEBGL_VERSION")===1&&(Z=f.getUniformLocation(G,"INFINITY",!1));for(var Ce={},De=0;De<p.variableNames.length;De++){var Te=p.variableNames[De],Ge=!1;Ce[Te]=f.getUniformLocation(G,Te,Ge),Ce["offset"+Te]=f.getUniformLocation(G,"offset"+Te,Ge)}return{program:p,source:L,webGLProgram:G,uniformLocations:Ce,inShapeInfos:R,outShapeInfo:z,infLoc:Z,nanLoc:be}}function Xe(f,p){if(f.length!==p.length)throw Error("Binary was compiled with "+f.length+" inputs, but "+("was executed with "+p.length+" inputs"));f.forEach(function(l,m){var g=l.logicalShape,I=p[m],R=I.shape;if(!i.util.arraysEqual(g,R))throw Error("Binary was compiled with different shapes than "+("the current args. Shapes "+g+" and "+R+" must match"));if(l.isUniform&&I.isUniform)return;var z=l.texShape,L=I.isUniform?null:I.texData.texShape;if(!i.util.arraysEqual(z,L))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+z+" and "+L+" must match"))})}function rt(f,p,l,m,g){Xe(p.inShapeInfos,l),Xe([p.outShapeInfo],[m]);var I=m.texData.texture,R=m.texData.texShape;m.texData.isPacked?f.setOutputPackedMatrixTexture(I,R[0],R[1]):f.setOutputMatrixTexture(I,R[0],R[1]),f.setProgram(p.webGLProgram),i.env().getNumber("WEBGL_VERSION")===1&&p.infLoc!==null&&f.gl.uniform1f(p.infLoc,Infinity),p.nanLoc!==null&&f.gl.uniform1f(p.nanLoc,NaN),l.forEach(function(z,L){var G=p.program.variableNames[L],Z=p.uniformLocations[G],be=p.uniformLocations["offset"+G];if(Z==null)return;if(z.isUniform){if(i.util.sizeFromShape(z.shape)<2)f.gl.uniform1f(Z,z.uniformValues[0]);else{var Ce=z.uniformValues;Ce instanceof Float32Array||(Ce=new Float32Array(Ce)),f.gl.uniform1fv(Z,Ce)}return}z.texData.slice!=null&&be!=null&&f.gl.uniform1i(be,z.texData.slice.flatOffset),f.setInputMatrixTexture(z.texData.texture,Z,L)}),g!=null&&g(f,p.webGLProgram),f.executeProgram()}function at(f,p,l){var m="";p.concat(l).forEach(function(R){var z=R.texData!=null&&R.texData.slice!=null&&R.texData.slice.flatOffset>0,L=R.isUniform?"uniform":R.texData.texShape;m+=R.shape+"_"+L+"_"+z});var g=f.userCode,I=f.constructor.name;return I+="_"+m+"_"+g,I}var $=function(){function f(p,l,m){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p;for(var g=m.filterWidth,I=m.inChannels,R=m.strideWidth,z=m.strideHeight,L=m.padInfo,G=m.outWidth,Z=m.dilationWidth,be=m.dilationHeight,Ce=m.dataFormat,De=L.left,Te=L.top,Ge=I*g,Ze=tn(),s=Ce==="channelsLast",u=s?0:1,r=s?1:2,o="",h=0;h<=1;h++)for(var b=0;b<=1;b++)o+=`
          blockIndex = rc.y + `+b+`;
          pos = rc.x + `+h+`;

          if(blockIndex < `+p[1]+" && pos < "+p[0]+`) {
            offsetY = int(blockIndex / (`+G+")) * "+z+" - "+Te+`;
            d0 = offsetY + `+be+" * (pos / "+Ge+`);

            if(d0 < `+l[u]+` && d0 >= 0) {

              offsetX = int(mod(float(blockIndex), `+G+".) * "+R+". - "+De+`.);
              d1 = offsetX + `+Z+" * (int(mod(float(pos), "+Ge+".) / "+I+`.));

              if(d1 < `+l[r]+` && d1 >= 0) {

                ch = int(mod(float(pos), `+I+`.));

                if (`+s+`) {
                  innerDims = vec2(d1, ch);
                  result[`+(h*2+b)+`] = getChannel(
                    getA(d0, int(innerDims.x),
                    int(innerDims.y)), innerDims);
                } else {
                  innerDims = vec2(d0, d1);
                  result[`+(h*2+b)+`] = getChannel(
                    getA(ch, int(innerDims.x),
                    int(innerDims.y)), innerDims);
                }
              }
            }
          }
        `;this.userCode=`
      void main() {
        ivec2 rc = getOutputCoords();

        vec4 result = vec4(0);

        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
        vec2 innerDims;

        `+o+`

        `+Ze.output+` = result;
      }
    `}return f}(),et=function(){function f(p,l,m,g,I){this.variableNames=["x"],this.outputShape=[];var R=l,z=p[3]-1;this.outputShape=p;var L,G="float("+m+") + float("+g+") * sum";I===.5?L="inversesqrt("+G+")":I===1?L="1.0/("+G+")":L="exp(log("+G+") * float(-"+I+"));",this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int r = coords[1];
        int c = coords[2];
        int d = coords[3];
        float x = getX(b, r, c, d);
        float sum = 0.0;
        for (int j = -`+R+"; j <= "+R+`; j++) {
          int idx = d + j;
          if (idx >= 0 && idx <=  `+z+`) {
            float z = getX(b, r, c, idx);
            sum += z * z;
          }
        }
        float val = x * `+L+`;
        setOutput(val);
      }
    `}return f}(),gt=function(){function f(p,l,m,g,I){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=p,this.depth=p[3],this.depthRadius=l,this.bias=m,this.alpha=g,this.beta=I,this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int r = coords[1];
        int c = coords[2];

        float result = 0.0;
        for (int d = 0; d < `+this.depth+`; ++d) {
          int depthBegin = int(max(0.0, float(d - `+l+`)));
          int depthEnd = int(min(float(`+this.depth+`),
              float(d + `+l+` + 1)));

          const int MIN_DEPTH_BEGIN = 0;
          const int MAX_DEPTH_END = `+this.depth+`;

          float norm = 0.0;
          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
            if (k < depthBegin){
              continue;
            }
            else if (k >= depthBegin && k < depthEnd) {
              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
            }
            else {
              break;
            }
          }

          norm = float(`+g+") * norm + float("+m+`);

          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
            if (k < depthBegin){
              continue;
            }
            else if (k >= depthBegin && k < depthEnd){
              float dyi = -2.0 * float(`+g+`)
                * float(`+I+`)
                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
                / norm;
              if (k == d) {
                dyi += pow(norm, -1.0 * `+I+`);
              }
              if (k == coords[3]) {
                dyi *= getDy(b, r, c, d);
                result += dyi;
              }
            }
            else {
              break;
            }
          }
      }
      setOutput(result);
      }
    `}return f}(),lt=function(){function f(p,l,m,g,I){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var R=l,z=p[3]-1;this.outputShape=p;var L,G="float("+m+") + float("+g+") * sum";I===.5?L="inversesqrt("+G+")":I===1?L="1.0/("+G+")":L="exp(log("+G+") * float(-"+I+"));",this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords.x;
        int r = coords.y;
        int c = coords.z;
        int d = coords.w;

        bool hasNextCol = d < `+this.outputShape[3]+`;
        bool hasNextRow = c < `+this.outputShape[2]+`;

        vec4 sum = vec4(0.);
        vec4 xFragAtOutputCoords = getX(b, r, c, d);

        vec4 xAtOutputCoords = vec4(
          getChannel(xFragAtOutputCoords, vec2(c, d)),
          hasNextCol ?
            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
          hasNextRow ?
            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
          (hasNextRow && hasNextCol) ?
            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
        );

        int firstChannel = d - `+R+`;
        vec2 cache = vec2(0.);
        if(firstChannel >= 0){
          vec4 firstChannelFrag = getX(b, r, c, firstChannel);
          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
            if(hasNextRow){
              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
            }
        }

        ivec2 depth = ivec2(d, d + 1);
        for (int j = - `+R+"; j <= "+R+`; j++) {
          ivec2 idx = depth + j;
          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(`+z+`));

          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;

          if(depthInRange || depthPlusOneInRange){
            vec4 z = vec4(0.);
            vec4 xFragAtCurrentDepth;
            z.xz = cache.xy;
            if(depthPlusOneInRange && hasNextCol){
              xFragAtCurrentDepth = idx.y != d ?
                getX(b, r, c, idx.y) : xFragAtOutputCoords;
              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
              if(hasNextRow){
                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
              }
            }
            cache.xy = z.yw;
            sum += z * z;
          }
        }
        vec4 result = xAtOutputCoords * `+L+`;
        setOutput(result);
      }
    `}return f}(),_t=function(){function f(p){this.variableNames=["dy","maxPos"],this.outputShape=p.inShape;var l=p.strideHeight,m=p.strideWidth,g=p.dilationHeight,I=p.effectiveFilterHeight,R=p.effectiveFilterWidth,z=I-1-p.padInfo.top,L=R-1-p.padInfo.left,G=I*R-1;this.userCode=`
      const ivec2 pads = ivec2(`+z+", "+L+`);

      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];

        ivec2 dyRCCorner = coords.yz - pads;
        int dyRCorner = dyRCCorner.x;
        int dyCCorner = dyRCCorner.y;

        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;
        for (int wR = 0; wR < `+I+`;
          wR += `+g+`) {
          float dyR = float(dyRCorner + wR) / `+l+`.0;

          if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 || fract(dyR) > 0.0) {
            continue;
          }
          int idyR = int(dyR);

          for (int wC = 0; wC < `+R+`; wC++) {
            float dyC = float(dyCCorner + wC) / `+m+`.0;

            if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                fract(dyC) > 0.0) {
              continue;
            }
            int idyC = int(dyC);

            float dyValue = getDy(b, idyR, idyC, d);
            int maxPosValue = `+G+` - int(getMaxPos(b, idyR, idyC, d));

            // Get the current value, check it against the value from the
            // position matrix.
            int curPosValue = wR * `+R+` + wC;
            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);

            dotProd += dyValue * mask;
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),At=function(){function f(p){this.variableNames=["dy","maxPos"],this.outputShape=p.inShape;var l=p.strideDepth,m=p.strideHeight,g=p.strideWidth,I=p.dilationDepth,R=p.dilationHeight,z=p.dilationWidth,L=p.effectiveFilterDepth,G=p.effectiveFilterHeight,Z=p.effectiveFilterWidth,be=L-1-p.padInfo.front,Ce=G-1-p.padInfo.top,De=Z-1-p.padInfo.left,Te=L*G*Z-1;this.userCode=`
      const ivec3 pads = ivec3(`+be+", "+Ce+", "+De+`);

      void main() {
        ivec5 coords = getOutputCoords();
        int batch = coords.x;
        int ch = coords.u;

        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
        int dyDCorner = dyCorner.x;
        int dyRCorner = dyCorner.y;
        int dyCCorner = dyCorner.z;

        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
        // dx(xD, xR, xC, ch).
        // ? = to be determined. : = across all values in that axis.
        float dotProd = 0.0;

        for (int wD = 0; wD < `+L+`;
           wD += `+I+`) {
          float dyD = float(dyDCorner + wD) / `+l+`.0;

          if (dyD < 0.0 || dyD >= `+p.outDepth+`.0 || fract(dyD) > 0.0) {
            continue;
          }
          int idyD = int(dyD);

          for (int wR = 0; wR < `+G+`;
              wR += `+R+`) {
            float dyR = float(dyRCorner + wR) / `+m+`.0;

            if (dyR < 0.0 || dyR >= `+p.outHeight+`.0 ||
                fract(dyR) > 0.0) {
              continue;
            }
            int idyR = int(dyR);

            for (int wC = 0; wC < `+Z+`;
                wC += `+z+`) {
              float dyC = float(dyCCorner + wC) / `+g+`.0;

              if (dyC < 0.0 || dyC >= `+p.outWidth+`.0 ||
                  fract(dyC) > 0.0) {
                continue;
              }
              int idyC = int(dyC);

              float dyValue = getDy(batch, idyD, idyR, idyC, ch);
              int maxPosValue = `+Te+` -
                  int(getMaxPos(batch, idyD, idyR, idyC, ch));

              // Get the current value, check it against the value from the
              // position matrix.
              int curPosValue =
                  wD * `+G+" * "+Z+` +
                  wR * `+Z+` + wC;
              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);

              dotProd += dyValue * mask;
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),Lt=function(){function f(p,l,m,g,I,R,z,L){g===void 0&&(g=!1),I===void 0&&(I=!1),R===void 0&&(R=!1),z===void 0&&(z=null),L===void 0&&(L=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=m;var G=g?p[1]:p[2],Z=Math.ceil(G/2),be=g?"i * 2, rc.y":"rc.y, i * 2",Ce=I?"rc.z, i * 2":"i * 2, rc.z",De=g?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],Te=I?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],Ge="",Ze="";z&&(L?Ge=`vec4 activation(vec4 a) {
          vec4 b = getPreluActivationWeightsAtOutCoords();
          `+z+`
        }`:Ge=`vec4 activation(vec4 x) {
          `+z+`
        }`,Ze="result = activation(result);");var s=R?"result += getBiasAtOutCoords();":"";R&&this.variableNames.push("bias"),L&&this.variableNames.push("preluActivationWeights");var u="rc.x",r="rc.x";p[0]<l[0]?u="int(min(float(rc.x), "+(p[0]-1)+".))":l[0]<p[0]&&(r="int(min(float(rc.x), "+(l[0]-1)+".))"),this.userCode=`
      `+Ge+`

      const float sharedDimension = `+Z+`.0;

      vec4 dot2x2ARowBCol(ivec3 rc) {
        vec4 result = vec4(0);
        for (int i = 0; i < `+Z+`; i++) {
          int batchA = `+u+`;
          int batchB = `+r+`;
          vec4 a = getMatrixA(batchA, `+be+`);
          vec4 b = getMatrixB(batchB, `+Ce+`);

          // These swizzled products need to be separately added.
          // See: https://github.com/tensorflow/tfjs/issues/1735
          result += (`+De[0]+" * "+Te[0]+`);
          result += (`+De[1]+" * "+Te[1]+`);
        }
        return result;
      }

      void main() {
        ivec3 rc = getOutputCoords();
        vec4 result = dot2x2ARowBCol(rc);

        `+s+`

        `+Ze+`

        setOutput(result);
      }
    `}return f}(),Pt=function(){function f(p,l,m){this.variableNames=["probs"],this.outputShape=[p,m],this.userCode=`
      uniform float seed;

      void main() {
        ivec2 coords = getOutputCoords();
        int batch = coords[0];

        float r = random(seed);
        float cdf = 0.0;

        for (int i = 0; i < `+(l-1)+`; i++) {
          cdf += getProbs(batch, i);

          if (r < cdf) {
            setOutput(float(i));
            return;
          }
        }

        // If no other event happened, last event happened.
        setOutput(float(`+(l-1)+`));
      }
    `}return f.prototype.getCustomSetupFunc=function(p){var l=this;return function(m,g){l.seedLoc==null&&(l.seedLoc=m.getUniformLocation(g,"seed")),m.gl.uniform1f(l.seedLoc,p)}},f}(),Ut=function(){function f(p,l,m,g){this.variableNames=["indices"],this.outputShape=[p,l],this.userCode=`
      void main() {
        ivec2 coords = getOutputCoords();
        int index = round(getIndices(coords.x));
        setOutput(mix(float(`+g+"), float("+m+`),
                      float(index == coords.y)));
      }
    `}return f}(),Nt=function(){function f(p){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=p;var l=p.length;if(l===0)this.userCode=`
        void main() {
          setOutput(vec4(getA(), 0., 0., 0.));
        }
      `;else{var m=Vr("rc",l),g=nn(l),I=Ht(l,p,m),R=Ot(l,p[p.length-1],p[p.length-2],m),z=Rt(p,m);this.userCode=`
        void main() {
          `+g+` rc = getOutputCoords();

          if(`+I+`) {
            setOutput(vec4(0));
          } else {
            `+R+`

            setOutput(vec4(`+z+`));
          }
        }
      `}}return f}();function Kt(f,p){for(var l=[],m=0;m<=1;m++)for(var g=0;g<=1;g++){for(var I=(m===0?"r":"rp1")+", "+(g===0?"c":"cp1"),R=2;R<f;R++)I=p[p.length-1-R]+","+I;l.push(I)}return l}function Ht(f,p,l){if(f===1)return"rc > "+p[0];for(var m="",g=f-2;g<f;g++)m+=l[g]+" >= "+p[g],g<f-1&&(m+="||");return m}function Ot(f,p,l,m){if(f===1)return"";var g=m.slice(-2);return`
    int r = `+g[0]+`;
    int c = `+g[1]+`;
    int rp1 = r + 1;
    int cp1 = c + 1;

    bool cEdge = cp1 >= `+p+`;
    bool rEdge = rp1 >= `+l+`;
  `}function Rt(f,p){var l=f.length,m=Kt(l,p);return l===1?`getA(rc),
            rc + 1 >= `+f[0]+` ? 0. : getA(rc + 1),
            0, 0`:"getA("+m[0]+`),
          cEdge ? 0. : getA(`+m[1]+`),
          rEdge ? 0. : getA(`+m[2]+`),
          rEdge || cEdge ? 0. : getA(`+m[3]+")"}var wt=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=l.map(function(G,Z){return G[0]+p[Z]+G[1]});var g=p.length,I=nn(g),R=l.map(function(G){return G[0]}).join(","),z=l.map(function(G,Z){return G[0]+p[Z]}).join(","),L=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,g);if(g===1){this.userCode=`
        int start = `+R+`;
        int end = `+z+`;

        void main() {
          int outC = getOutputCoords();
          if (outC < start || outC >= end) {
            setOutput(float(`+m+`));
          } else {
            setOutput(getX(outC - start));
          }
        }
      `;return}this.userCode=`
      `+I+" start = "+I+"("+R+`);
      `+I+" end = "+I+"("+z+`);

      void main() {
        `+I+` outC = getOutputCoords();
        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
          setOutput(float(`+m+`));
        } else {
          `+I+` coords = outC - start;
          setOutput(getX(`+L+`));
        }
      }
    `}return f}(),Et=function(){function f(p,l,m){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=l.map(function(s,u){return s[0]+p[u]+s[1]});for(var g=p.length,I=nn(g),R=l.map(function(s){return s[0]}).join(","),z=l.map(function(s,u){return s[0]+p[u]}).join(","),L=Vr("rc",g),G=Vr("source",g),Z=L[g-1]+" < "+this.outputShape[g-1],be=g===1?"source":"vec2("+G.slice(-2).join()+")",Ce=[I+" rc = outputLoc;",L[g-1]+` += 1;
       if(`+Z+`) {
      `,g===1?"":`}
       rc = outputLoc;
       `+L[g-2]+` += 1;
       if(`+L[g-2]+" < "+this.outputShape[g-2]+") {",g===1?"":"  "+L[g-1]+` += 1;
         if(`+Z+") {"],De=g===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",Te="",Ge=0,Ze=g===1?2:4;Ge<Ze;Ge++)Te+=`
        `+Ce[Ge]+`
        if (`+De+`) {
          result[`+Ge+"] = float("+m+`);
        } else {
          `+I+` source = rc - start;
          result[`+Ge+"] = getChannel(getX("+G.join()+"), "+be+`);
        }
      `;Te+=g===1?"} ":"}}",this.userCode=`
      const `+I+" start = "+I+"("+R+`);
      const `+I+" end = "+I+"("+z+`);

      void main() {
        `+I+` outputLoc = getOutputCoords();
        vec4 result = vec4(0.);
        `+Te+`
        setOutput(result);
      }
    `}return f}(),Vt=function(){function f(p,l,m,g,I){if(g===void 0&&(g=!1),I===void 0&&(I=!1),this.variableNames=["x"],l==="avg"&&m)throw new Error("Cannot compute positions for average pool.");var R=p.filterWidth,z=p.strideHeight,L=p.strideWidth,G=p.dilationHeight,Z=p.dilationWidth,be=p.effectiveFilterHeight,Ce=p.effectiveFilterWidth,De=p.padInfo.top,Te=p.padInfo.left;this.outputShape=p.outShape;var Ge=l==="avg",Ze="((batch  * "+p.inHeight+" + xR) * "+p.inWidth+" + xC) * "+p.inChannels+" + d",s="(xR * "+p.inWidth+" + xC) * "+p.inChannels+" + d",u="0.0";if(Ge||(u="-1.0 / 1e-20"),m){var r=">=";this.userCode=`
        const ivec2 strides = ivec2(`+z+", "+L+`);
        const ivec2 pads = ivec2(`+De+", "+Te+`);

        void main() {
          ivec4 coords = getOutputCoords();
          int batch = coords[0];
          int d = coords[3];

          ivec2 xRCCorner = coords.yz * strides - pads;
          int xRCorner = xRCCorner.x;
          int xCCorner = xRCCorner.y;

          // max/min x(?, ?, d) to get y(yR, yC, d).
          // ? = to be determined
          float minMaxValue = 0.0;
          float minMaxValueFound = 0.0;
          int minMaxPosition = 0;
          float avgValue = 0.0;

          for (int wR = 0; wR < `+be+`;
              wR += `+G+`) {
            int xR = xRCorner + wR;

            if (xR < 0 || xR >= `+p.inHeight+`) {
              continue;
            }

            for (int wC = 0; wC < `+Ce+`;
                wC += `+Z+`) {
              int xC = xCCorner + wC;

              if (xC < 0 || xC >= `+p.inWidth+`) {
                continue;
              }

              float value = getX(batch, xR, xC, d);

              // If a min / max value has already been found, use it. If not,
              // use the current value.
              float currMinMaxValue = mix(
                  value, minMaxValue, minMaxValueFound);
              if (value `+r+` currMinMaxValue) {
                minMaxValue = value;
                minMaxValueFound = 1.0;
                minMaxPosition = `+(g?I?Ze:s:"wR * "+Ce+" + wC")+`;
              }
            }
          }
          setOutput(float(minMaxPosition));
        }
      `;return}var o="max",h=l+"("+l+"("+l+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";l==="avg"&&(h="avgValue / count");var b=Math.floor(R/4)*4,T=R%4,M=`
      if (`+Ge+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+o+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec2 strides = ivec2(`+z+", "+L+`);
      const ivec2 pads = ivec2(`+De+", "+Te+`);
      const float initializationValue = `+u+`;
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

      float count = 0.0;

      float getValue(int batch, int xR, int xC, int d) {
        if (xC < 0 || xC >= `+p.inWidth+`) {
          return initializationValue;
        }
        count += 1.0;
        return getX(batch, xR, xC, d);
      }

      void main() {
        ivec4 coords = getOutputCoords();
        int batch = coords[0];
        int d = coords[3];

        ivec2 xRCCorner = coords.yz * strides - pads;
        int xRCorner = xRCCorner.x;
        int xCCorner = xRCCorner.y;

        // max/min x(?, ?, d) to get y(yR, yC, d).
        // ? = to be determined
        vec4 minMaxValue = vec4(`+u+`);
        float avgValue = 0.0;
        count = 0.0;

        for (int wR = 0; wR < `+be+`;
            wR += `+G+`) {
          int xR = xRCorner + wR;

          if (xR < 0 || xR >= `+p.inHeight+`) {
            continue;
          }

          for (int wC = 0; wC < `+b+`; wC += 4) {
            int xC = xCCorner + wC * `+Z+`;

            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              getValue(batch, xR, xC + `+Z+`, d),
              getValue(batch, xR, xC + 2 * `+Z+`, d),
              getValue(batch, xR, xC + 3 * `+Z+`, d)
            );

            `+M+`
          }

          int xC = xCCorner + `+b+`;
          if (`+(T===1)+`) {
            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              initializationValue,
              initializationValue,
              initializationValue
            );

            `+M+`
          } else if (`+(T===2)+`) {
            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              getValue(batch, xR, xC + `+Z+`, d),
              initializationValue,
              initializationValue
            );

            `+M+`
          } else if (`+(T===3)+`) {
            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              getValue(batch, xR, xC + `+Z+`, d),
              getValue(batch, xR, xC + 2 * `+Z+`, d),
              initializationValue
            );

            `+M+`
          }
        }
        setOutput(`+h+`);
      }
    `}return f}(),jt=function(){function f(p,l,m,g,I){if(g===void 0&&(g=!1),I===void 0&&(I=!1),this.variableNames=["x"],l==="avg"&&m)throw new Error("Cannot compute positions for average pool.");var R=p.filterWidth,z=p.strideDepth,L=p.strideHeight,G=p.strideWidth,Z=p.dilationDepth,be=p.dilationHeight,Ce=p.dilationWidth,De=p.effectiveFilterDepth,Te=p.effectiveFilterHeight,Ge=p.effectiveFilterWidth,Ze=p.padInfo.front,s=p.padInfo.top,u=p.padInfo.left;this.outputShape=p.outShape;var r=l==="avg",o="0.0";if(r||(o="-1.0 / 1e-20"),m){var h=">=";this.userCode=`
        const ivec3 strides =
            ivec3(`+z+", "+L+", "+G+`);
        const ivec3 pads = ivec3(`+Ze+", "+s+", "+u+`);

        void main() {
          ivec5 coords = getOutputCoords();
          int batch = coords.x;
          int ch = coords.u;

          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
          int xDCorner = xCorner.x;
          int xRCorner = xCorner.y;
          int xCCorner = xCorner.z;

          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
          // ? = to be determined
          float minMaxValue = 0.0;
          float minMaxValueFound = 0.0;
          int minMaxPosition = 0;

          for (int wD = 0; wD < `+De+`;
              wD += `+Z+`) {
            int xD = xDCorner + wD;

            if (xD < 0 || xD >= `+p.inDepth+`) {
              continue;
            }

            for (int wR = 0; wR < `+Te+`;
                wR += `+be+`) {
              int xR = xRCorner + wR;

              if (xR < 0 || xR >= `+p.inHeight+`) {
                continue;
              }

              for (int wC = 0; wC < `+Ge+`;
                  wC += `+Ce+`) {
                int xC = xCCorner + wC;

                if (xC < 0 || xC >= `+p.inWidth+`) {
                  continue;
                }

                float value = getX(batch, xD, xR, xC, ch);

                // If a min / max value has already been found, use it. If not,
                // use the current value.
                float currMinMaxValue = mix(
                    value, minMaxValue, minMaxValueFound);
                if (value `+h+` currMinMaxValue) {
                  minMaxValue = value;
                  minMaxValueFound = 1.0;
                  minMaxPosition = `+(g?I?"(((batch * "+p.inDepth+" + xD) * "+p.inHeight+" + xR) * "+p.inWidth+" + xC) * "+p.inChannels+" + ch":"((xD * "+p.inHeight+" + xR) * "+p.inWidth+" + xC) * "+p.inChannels+" + ch":"wD * "+Te+" * "+Ge+` +
                      wR * `+Ge+" + wC")+`;
                }
              }
            }
          }
          setOutput(float(minMaxPosition));
        }
      `;return}var b="max",T=l+"("+l+"("+l+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";l==="avg"&&(T="avgValue / count");var M=Math.floor(R/4)*4,q=R%4,Y=`
      if (`+r+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+b+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec3 strides =
        ivec3(`+z+", "+L+", "+G+`);
      const ivec3 pads = ivec3(`+Ze+", "+s+", "+u+`);
      const float initializationValue = `+o+`;
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

      float count = 0.0;

      float getValue(int batch, int xD, int xR, int xC, int ch) {
        if (xC < 0 || xC >= `+p.inWidth+`) {
          return initializationValue;
        }
        count += 1.0;
        return getX(batch, xD, xR, xC, ch);
      }

      void main() {
        ivec5 coords = getOutputCoords();
        int batch = coords.x;
        int ch = coords.u;

        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
        int xDCorner = xCorner.x;
        int xRCorner = xCorner.y;
        int xCCorner = xCorner.z;

        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
        // ? = to be determined
        vec4 minMaxValue = vec4(`+o+`);
        float avgValue = 0.0;
        count = 0.0;

        for (int wD = 0; wD < `+De+`;
            wD += `+Z+`) {
          int xD = xDCorner + wD;

          if (xD < 0 || xD >= `+p.inDepth+`) {
            continue;
          }

          for (int wR = 0; wR < `+Te+`;
            wR += `+be+`) {
            int xR = xRCorner + wR;

            if (xR < 0 || xR >= `+p.inHeight+`) {
              continue;
            }

            for (int wC = 0; wC < `+M+`; wC += 4) {
              int xC = xCCorner + wC * `+Ce+`;

              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                getValue(batch, xD, xR, xC + `+Ce+`, ch),
                getValue(batch, xD, xR, xC + 2 * `+Ce+`, ch),
                getValue(batch, xD, xR, xC + 3 * `+Ce+`, ch)
              );

              `+Y+`
            }

            int xC = xCCorner + `+M+`;
            if (`+(q===1)+`) {
              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                initializationValue,
                initializationValue,
                initializationValue
              );

              `+Y+`
            } else if (`+(q===2)+`) {
              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                getValue(batch, xD, xR, xC + `+Ce+`, ch),
                initializationValue,
                initializationValue
              );

              `+Y+`
            } else if (`+(q===3)+`) {
              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                getValue(batch, xD, xR, xC + `+Ce+`, ch),
                getValue(batch, xD, xR, xC + 2 * `+Ce+`, ch),
                initializationValue
              );

              `+Y+`
            }
          }
          setOutput(`+T+`);
        }
      }
    `}return f}(),cr=function(){function f(p,l){this.variableNames=["x"];var m=p.windowSize,g=p.batchSize,I=p.inSize,R=p.outSize;this.outputShape=[g,R];var z="0.0",L="";l==="prod"?z="1.0":l==="min"?(z="1.0 / 1e-20",L="min"):l==="max"&&(z="-1.0 / 1e-20",L="max");var G=l+"("+l+"("+l+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";l==="sum"?G="sumValue":l==="prod"?G="prodValue":l==="all"?G="allValue":l==="any"&&(G="anyValue");var Z=Math.floor(m/4)*4,be=m%4,Ce=`
      if (`+(l==="sum")+`) {
        sumValue += dot(values, ones);
      } else if (`+(l==="prod")+`) {
        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
        prodValue *= tmp[0] * tmp[1];
      } else {
        minMaxValue = `+L+`(values, minMaxValue);
      }
    `,De="vec4";l==="all"?(z="1.0",Ce=`
        bool reducedAllValue = all(values);
        float floatedReducedAllValue = float(reducedAllValue);
        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
      `,De="bvec4"):l==="any"&&(z="0.0",Ce=`
        bool reducedAnyValue = any(values);
        float floatedReducedAnyValue = float(reducedAnyValue);
        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
      `,De="bvec4");var Te="";I%m>0&&(Te=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return initializationValue;
        }
      `),this.userCode=`
      const float initializationValue = `+z+`;
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

      float getValue(int batch, int inIdx) {
        `+Te+`
        return getX(batch, inIdx);
      }

      void main() {
        ivec2 coords = getOutputCoords();
        int batch = coords[0];
        int outIdx = coords[1];
        int inOffset = outIdx * `+m+`;

        vec4 minMaxValue = vec4(`+z+`);
        float prodValue = 1.0;
        float sumValue = 0.0;
        float allValue = 1.0;
        float anyValue = 0.0;

        for (int i = 0; i < `+Z+`; i += 4) {
          int inIdx = inOffset + i;
          `+De+" values = "+De+`(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            getValue(batch, inIdx + 3)
          );

          `+Ce+`
        }

        int inIdx = inOffset + `+Z+`;
        if (`+(be===1)+`) {
          `+De+" values = "+De+`(
            getValue(batch, inIdx),
            initializationValue,
            initializationValue,
            initializationValue
          );

          `+Ce+`
        } else if (`+(be===2)+`) {
          `+De+" values = "+De+`(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            initializationValue,
            initializationValue
          );

          `+Ce+`
        } else if (`+(be===3)+`) {
          `+De+" values = "+De+`(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            initializationValue
          );

          `+Ce+`
        }
        setOutput(`+G+`);
      }
    `}return f}(),rr=function(){function f(p,l){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p;for(var m="",g=0;g<4;g++){var I="thisRC = rc;";g%2===1&&(I+="thisRC.z += 1;"),g>1&&(I+="thisRC.y += 1;"),m+=`
        `+I+`
        `+(g>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+`
          int flatIndex = getFlatIndex(thisRC);

          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));

          result[`+g+`] =
            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
        `+(g>0?"}":"")+`
      `}this.userCode=`
      `+Ie(l)+`
      `+Kn(p)+`

      void main() {
        ivec3 rc = getOutputCoords();

        vec4 result = vec4(0.);

        ivec3 thisRC;
        int rows = `+p[1]+`;
        int cols = `+p[2]+`;

        `+m+`

        setOutput(result);
      }
    `}return f}();function Ie(f){var p=Rn(["r","c","d"],f);return`
    ivec3 inputCoordsFromReshapedOutCoords(int index) {
      `+p+`
      return ivec3(r, c, d);
    }
  `}var br=function(){function f(p,l,m){this.variableNames=["dy"],this.outputShape=[],this.outputShape=l.shape;var g=l.shape,I=g[1],R=g[2],z=p.shape,L=z[1],G=z[2],Z=[m&&L>1?I-1:I,m&&G>1?R-1:R],be=[m&&L>1?L-1:L,m&&G>1?G-1:G],Ce=Z[0]/be[0],De=Z[1]/be[1],Te=1/Ce,Ge=1/De,Ze=Math.ceil(Te)*2+2,s=Math.ceil(Ge)*2+2;this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];
        int r = coords[1];
        int c = coords[2];

        float accumulator = 0.0;

        const float heightScale = float(`+Ce+`);
        const float widthScale = float(`+De+`);

        const float invHeightScale = float(`+Te+`);
        const float invWidthScale = float(`+Ge+`);

        const int winHeight = int(`+Ze+`);
        const int winWidth = int(`+s+`);

        // Compute bounds for where in dy we will look
        float startRLerp = floor(float(r) * invHeightScale);
        int startDyR = int(startRLerp - float(winHeight / 2));

        float startCLerp = floor(float(c) * invWidthScale);
        int startDyC = int(startCLerp - float(winWidth / 2));

        // Loop over dy
        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
          int dyR = dyROffset + startDyR;

          // Guard against the window exceeding the bounds of dy
          if (dyR < 0 || dyR >= `+L+`) {
            continue;
          }

          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
            int dyC = dyCOffset + startDyC;

            // Guard against the window exceeding the bounds of dy
            if (dyC < 0 || dyC >= `+G+`) {
              continue;
            }

            float dxR = float(dyR) * heightScale;
            int topDxRIndex = int(floor(dxR));
            int bottomDxRIndex = int(min(ceil(dxR), `+(I-1)+`.0));
            float dxRLerp = dxR - float(topDxRIndex);
            float inverseDxRLerp = 1.0 - dxRLerp;

            float dxC = float(dyC) * widthScale;
            int leftDxCIndex = int(floor(dxC));
            int rightDxCIndex = int(min(ceil(dxC), `+(R-1)+`.0));
            float dxCLerp = dxC - float(leftDxCIndex);
            float inverseDxCLerp = 1.0 - dxCLerp;

            if (r == topDxRIndex && c == leftDxCIndex) {
              // topLeft
              accumulator +=
                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
            }

            if (r == topDxRIndex && c == rightDxCIndex) {
              // topRight
              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
            }

            if (r == bottomDxRIndex && c == leftDxCIndex) {
              // bottomLeft
              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
            }

            if (r == bottomDxRIndex && c == rightDxCIndex) {
              // bottomRight
              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
            }
          }
        }
        // End loop over dy

        setOutput(accumulator);
      }
    `}return f}(),Nr=function(){function f(p,l,m,g){this.variableNames=["A"],this.outputShape=[];var I=p[0],R=p[1],z=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?z-1:z],Z=[g&&l>1?l-1:l,g&&m>1?m-1:m];this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+G[0]/Z[0]+`,
          `+G[1]/Z[1]+`);
      const vec2 inputShapeRC = vec2(`+R+".0, "+z+`.0);

      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];
        ivec2 yRC = coords.yz;

        // Fractional source index.
        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;

        // Compute the four integer indices.
        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);
        ivec2 sourceCeilRC = ivec2(
          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));

        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);

        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);

        float top = topLeft + (topRight - topLeft) * fracRC.y;
        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
        float newValue = top + (bottom - top) * fracRC.x;

        setOutput(newValue);
      }
    `}return f}(),Tr=function(){function f(p,l,m,g){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var I=p[0],R=p[1],z=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?z-1:z],Z=[g&&l>1?l-1:l,g&&m>1?m-1:m];this.userCode=`
      const vec3 effectiveInputOverOutputRatioRC = vec3(
          `+G[0]/Z[0]+`,
          `+G[1]/Z[1]+`,
          `+G[1]/Z[1]+`);
      const vec3 inputShapeRC = vec3(`+R+".0, "+z+`.0,
                                     `+z+`.0);

      float getAValue(int b, int r, int c, int d) {
        return getChannel(getA(b, r, c, d), vec2(c, d));
      }

      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];
        // Calculate values for next column in yRC.z.
        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);

        // Fractional source index.
        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;

        // Compute the four integer indices.
        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);
        ivec3 sourceCeilRC = ivec3(
          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));

        // Should we calculate next column and row elements in 2x2 packed cell.
        bool hasNextCol = d < `+(L-1)+`;
        bool hasNextRow = coords.z < `+(m-1)+`;

        // In parallel, construct four corners for all four components in
        // packed 2x2 cell.
        vec4 topLeft = vec4(
          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
                     : 0.0,
          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
                     : 0.0,
          (hasNextRow && hasNextCol) ?
            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);

        vec4 bottomLeft = vec4(
          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
                     : 0.0,
          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
                     : 0.0,
          (hasNextRow && hasNextCol) ?
            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);

        vec4 topRight = vec4(
          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
                     : 0.0,
          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
                     : 0.0,
          (hasNextRow && hasNextCol) ?
            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);

        vec4 bottomRight = vec4(
          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
                     : 0.0,
          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
                     : 0.0,
          (hasNextRow && hasNextCol) ?
            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);

        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);

        vec4 top = mix(topLeft, topRight, fracRC.yyzz);
        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
        vec4 newValue = mix(top, bottom, fracRC.x);

        setOutput(newValue);
      }
    `}return f}(),hr=function(){function f(p,l,m){this.variableNames=["dy"],this.outputShape=[],this.outputShape=l.shape;var g=l.shape,I=g[1],R=g[2],z=p.shape,L=z[1],G=z[2],Z=[m&&L>1?I-1:I,m&&G>1?R-1:R],be=[m&&L>1?L-1:L,m&&G>1?G-1:G],Ce=Z[0]/be[0],De=Z[1]/be[1],Te=1/Ce,Ge=1/De,Ze=Math.ceil(Te)*2+2,s=Math.ceil(Ge)*2+2;this.userCode=`
      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];
        int r = coords[1];
        int c = coords[2];

        float accumulator = 0.0;

        const float heightScale = float(`+Ce+`);
        const float widthScale = float(`+De+`);

        const float invHeightScale = float(`+Te+`);
        const float invWidthScale = float(`+Ge+`);

        const int winHeight = int(`+Ze+`);
        const int winWidth = int(`+s+`);

        // Compute bounds for where in dy we will look
        float startRLerp = floor(float(r) * invHeightScale);
        int startDyR = int(floor(startRLerp - float(winHeight / 2)));

        float startCLerp = floor(float(c) * invWidthScale);
        int startDyC = int(floor(startCLerp - float(winWidth / 2)));

        // Loop over dy
        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
          int dyR = dyROffset + startDyR;

          // Guard against the window exceeding the bounds of dy
          if (dyR < 0 || dyR >= `+L+`) {
            continue;
          }

          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
            int dyC = dyCOffset + startDyC;

            // Guard against the window exceeding the bounds of dy
            if (dyC < 0 || dyC >= `+G+`) {
              continue;
            }

            float sourceFracRow =
              float(`+Z[0]+`) *
                (float(dyR) / float(`+be[0]+`));

            float sourceFracCol =
                float(`+Z[1]+`) *
                  (float(dyC) / float(`+be[1]+`));

            int sourceNearestRow = int(min(
                float(int(`+I+`) - 1),
                `+m+` ? float(round(sourceFracRow)) :
                                  float(floor(sourceFracRow))));

            int sourceNearestCol = int(min(
                float(int(`+R+`) - 1),
                `+m+` ? float(round(sourceFracCol)) :
                                  float(floor(sourceFracCol))));

            if (r == sourceNearestRow && c == sourceNearestCol) {
              accumulator += getDy(b, dyR, dyC, d);
            }
          }
        }
        // End loop over dy

        setOutput(accumulator);
      }
    `}return f}(),Dr=function(){function f(p,l,m,g){this.variableNames=["A"],this.outputShape=[];var I=p[0],R=p[1],z=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?z-1:z],Z=[g&&l>1?l-1:l,g&&m>1?m-1:m],be=g?"0.5":"0.0";this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+G[0]/Z[0]+`,
          `+G[1]/Z[1]+`);
      const vec2 inputShapeRC = vec2(`+R+".0, "+z+`.0);

      void main() {
        ivec4 coords = getOutputCoords();
        int b = coords[0];
        int d = coords[3];
        ivec2 yRC = coords.yz;

        // Fractional source index.
        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;

        // Compute the coordinators of nearest neighbor point.
        ivec2 sourceNearestRC = ivec2(
          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + `+be+`)));

        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);

        setOutput(newValue);
      }
    `}return f}(),fr=function(){function f(p,l){this.variableNames=["x"];var m=p.length;if(m>4)throw new Error("WebGL backend: Reverse of rank-"+m+" tensor is not yet supported");if(this.outputShape=p,m===1){this.userCode=`
        void main() {
          int coord = getOutputCoords();
          setOutput(getX(`+p[0]+` - coord - 1));
        }
      `;return}var g=function(z){return l.indexOf(z)!==-1&&p[z]!==1?p[z]+" - coords["+z+"] - 1":"coords["+z+"]"},I=p.map(function(z,L){return g(L)}).join(","),R=nn(m);this.userCode=`
      void main() {
        `+R+` coords = getOutputCoords();
        setOutput(getX(`+I+`));
      }
    `}return f}(),Er=function(){function f(p,l){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var m=p.length;if(m>4)throw new Error("WebGL backend: Reverse of rank-"+m+" tensor is not yet supported");this.outputShape=p;var g=Vr("rc",m),I=g[m-1]+" + 1 < "+this.outputShape[m-1],R=g[m-2]+" + 1 < "+this.outputShape[m-2],z=nn(m);m===1?this.userCode=`
        void main(){
          int rc = getOutputCoords();
          vec4 result = vec4(0.);
          result.r = getChannel(getX(`+p[0]+` - rc - 1),
            `+p[0]+` - rc - 1);
          if(`+I+`){
              result.g = getChannel(getX(`+p[0]+` - (rc  + 1) - 1),
                `+p[0]+` - (rc  + 1) - 1);
          }
          setOutput(result);
        }
      `:this.userCode=`
        void main() {
          `+z+` rc = getOutputCoords();
          vec4 result = vec4(0.);
          result.r = `+L(g.slice())+`;
          if(`+I+`){
            result.g = `+G(g.slice())+`;
          }
          if(`+R+`) {
            result.b = `+Z(g.slice())+`;
            if(`+I+`) {
              result.a = `+be(g.slice())+`;
            }
          }
          setOutput(result);
        }
    `;function L(Te){return Ce(Te)}function G(Te){return Te[m-1]="("+Te[m-1]+" + 1)",Ce(Te)}function Z(Te){return Te[m-2]="("+Te[m-2]+" + 1)",Ce(Te)}function be(Te){return Te[m-1]="("+Te[m-1]+" + 1)",Te[m-2]="("+Te[m-2]+" + 1)",Ce(Te)}function Ce(Te){var Ge=p.map(function(u,r){return De(r,Te)}),Ze=Ge.join(","),s=Ge.slice(-2).join(",");return"getChannel(getX("+Ze+"), vec2("+s+"))"}function De(Te,Ge){return l.indexOf(Te)!==-1&&p[Te]!==1?p[Te]+" - "+Ge[Te]+" - 1":""+Ge[Te]}}return f}(),an=function(){function f(p,l,m,g,I,R,z){this.variableNames=["updates","indices","defaultValue"],this.outputShape=R;var L=nn(I.length),G=nn(R.length),Z="";m===1?Z="i":m===2&&(Z="i, j");var be="getIndices("+Z+")",Ce="";g===1?Ce="i":g===2&&(Ce="i, coords[1]");var De="getUpdates("+Ce+")",Te=l>1?"strides[j]":"strides";this.userCode=`
        `+L+" strides = "+L+"("+I+`);

        void main() {
          `+G+` coords = getOutputCoords();
          float sum = 0.0;
          bool found = false;
          for (int i = 0; i < `+p+`; i++) {
            int flattenedIndex = 0;
            for (int j = 0; j < `+l+`; j++) {
              int index = round(`+be+`);
              flattenedIndex += index * `+Te+`;
            }
            if (flattenedIndex == coords[0]) {
              sum += `+De+`;
              found = true;
            }
          }
          setOutput(mix(getDefaultValue(), sum, float(found)));
        }
      `}return f}(),wn=function(){function f(p,l){this.variableNames=["x","segmentIds"];var m=p.windowSize,g=p.batchSize,I=p.inSize,R=p.numSegments,z=R*Math.ceil(I/m);this.outputShape=[g,z];var L="0.0",G="sumValue",Z=Math.floor(m/4)*4,be=m%4,Ce=`
        sumValue += dot(values, segFilter);
    `,De="";I%m>0&&(De=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return initializationValue;
        }
      `);var Te="";I%m>0&&(Te=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return -1.0;
        }
      `),this.userCode=`
      const float initializationValue = `+L+`;

      float getValue(int batch, int inIdx) {
        `+De+`
        return getX(batch, inIdx);
      }

      float getSegmentIdAtIndex(int inIdx) {
        `+Te+`
        return getSegmentIds(inIdx);
      }

      void main() {
        ivec2 coords = getOutputCoords();
        int batch = coords[0];
        int outIdx = coords[1];
        int inOffset = int(floor(float(outIdx) / float(
          `+R+")) * float("+m+`));
        int currentSeg = int(mod(float(outIdx), float(`+R+`)));

        float sumValue = 0.0;

        for (int i = 0; i < `+Z+`; i += 4) {
          int inIdx = inOffset + i;
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            getValue(batch, inIdx + 3)
          );

          vec4 segFilter = vec4(
            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0
          );

          `+Ce+`
        }

        int inIdx = inOffset + `+Z+`;
        if (`+(be===1)+`) {
          vec4 values = vec4(
            getValue(batch, inIdx),
            initializationValue,
            initializationValue,
            initializationValue
          );

          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));

          vec4 segFilter = vec4(
            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
            0,
            0,
            0
          );

          `+Ce+`
        } else if (`+(be===2)+`) {
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            initializationValue,
            initializationValue
          );

          vec4 segFilter = vec4(
            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
              0,
              0
          );

          `+Ce+`
        } else if (`+(be===3)+`) {
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            initializationValue
          );

          vec4 segFilter = vec4(
            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
            0
          );

          `+Ce+`
        }
        setOutput(`+G+`);
      }
    `}return f}(),ie=function(){function f(p,l,m){this.variableNames=["c","a","b"],this.outputShape=l;var g,I;if(m>4)throw Error("Where for rank "+m+" is not yet supported");if(m===1)I="resRC",g="resRC";else{for(var R=["resRC.x","resRC.y","resRC.z","resRC.w"],z=[],L=[],G=0;G<l.length;G++)L.push(""+R[G]),G<p&&z.push(""+R[G]);g=z.join(),I=L.join()}var Z=nn(m);this.userCode=`
      void main() {
        `+Z+` resRC = getOutputCoords();
        float cVal = getC(`+g+`);
        if (cVal >= 1.0) {
          setOutput(getA(`+I+`));
        } else {
          setOutput(getB(`+I+`));
        }
      }
    `}return f}(),Nn=function(){function f(p){this.variableNames=["source"],this.outputShape=p,this.rank=p.length;var l=nn(this.rank),m="uniform int start["+this.rank+"];",g=Ee(this.rank),I,R=p.map(function(z,L){return"sourceLoc."+bn[L]+" = start["+L+"] + coords."+bn[L]+";"});I=`
        `+l+` sourceLoc;
        `+l+` coords = getOutputCoords();
        `+R.join(`
`)+`
      `,this.userCode=`
      `+m+`
      void main() {
        `+I+`
        setOutput(getSource(`+g+`));
      }
    `}return f.prototype.getCustomSetupFunc=function(p){var l=this;if(p.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+p.length+")"));return function(m,g){if(l.startLoc==null&&(l.startLoc=m.getUniformLocationNoThrow(g,"start"),l.startLoc==null))return;m.gl.uniform1iv(l.startLoc,p)}},f}(),bn=["x","y","z","w","u","v"];function Ee(f){if(f===1)return"sourceLoc";if(f<=6)return bn.slice(0,f).map(function(p){return"sourceLoc."+p}).join(",");throw Error("Slicing for rank "+f+" is not yet supported")}var Bn=function(){function f(p){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p,this.rank=p.length;var l=nn(this.rank),m=Vr("coords",this.rank),g=Vr("sourceLoc",this.rank),I=this.rank===1?"sourceLoc":"vec2("+g.slice(-2).join()+")",R="getChannel(getSource("+g.join()+"), "+I+")",z=`
      result.x = `+R+`;
      if (++`+m[this.rank-1]+" < "+p[this.rank-1]+`) {
        ++`+g[this.rank-1]+`;
        result.y = `+R+`;
        --`+g[this.rank-1]+`;
      }
    `,L=this.rank===1?"":`
      --`+m[this.rank-1]+`;
      if (++`+m[this.rank-2]+" < "+p[this.rank-2]+`) {
        ++`+g[this.rank-2]+`;
        result.z = `+R+`;
        if (++`+m[this.rank-1]+" < "+p[this.rank-1]+`) {
          ++`+g[this.rank-1]+`;
          result.w = `+R+`;
        }
      }
    `,G=this.rank<=4?`sourceLoc = coords +
            `+l+"("+p.map(function(Z,be){return"start["+be+"]"}).join()+");":p.map(function(Z,be){return g[be]+" = "+m[be]+" + start["+be+"];"}).join(`
`);this.userCode=`
      uniform int start[`+this.rank+`];
      void main() {
        `+l+` coords = getOutputCoords();
        `+l+` sourceLoc;
        `+G+`
        vec4 result = vec4(0.);
        `+z+`
        `+L+`
        setOutput(result);
      }
    `}return f.prototype.getCustomSetupFunc=function(p){var l=this;if(p.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+p.length+")"));return function(m,g){if(l.startLoc==null&&(l.startLoc=m.getUniformLocationNoThrow(g,"start"),l.startLoc==null))return;m.gl.uniform1iv(l.startLoc,p)}},f}(),Pn=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=m;var g=m.length,I=nn(m.length),R=nn(m.length),z="";if(g===1)z="coords * strides + begin";else{var L=0;z=m.map(function(G,Z){return L++,m.length===1?"coords * strides["+Z+"] + begin["+Z+"]":"coords["+(L-1)+"] * strides["+Z+"] + begin["+Z+"]"}).join(",")}this.userCode=`
      `+I+" begin = "+I+"("+p+`);
      `+I+" strides = "+I+"("+l+`);

      void main() {
        `+R+` coords = getOutputCoords();
        setOutput(getX(`+z+`));
      }
    `}return f}(),Da=function(){function f(p){this.gpgpu=p,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return f.prototype.acquireTexture=function(p,l,m){var g=ya(l,m),I=va(p,g,m);I in this.freeTextures||(this.freeTextures[I]=[]),I in this.usedTextures||(this.usedTextures[I]=[]);var R=Ya(p,g,this.gpgpu.gl,this.gpgpu.textureConfig,m);if(this.freeTextures[I].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=R,this.log();var z=this.freeTextures[I].shift();return this.usedTextures[I].push(z),z}var L;return g===ge.PACKED_2X2_FLOAT32?L=this.gpgpu.createPackedMatrixTexture(p[0],p[1]):g===ge.PACKED_2X2_FLOAT16?L=this.gpgpu.createFloat16PackedMatrixTexture(p[0],p[1]):g===ge.UNPACKED_FLOAT32?L=this.gpgpu.createFloat32MatrixTexture(p[0],p[1]):g===ge.UNPACKED_FLOAT16?L=this.gpgpu.createFloat16MatrixTexture(p[0],p[1]):g===ge.PACKED_4X1_UNSIGNED_BYTE&&(L=this.gpgpu.createUnsignedBytesMatrixTexture(p[0],p[1])),this.usedTextures[I].push(L),this.numUsedTextures++,this._numBytesAllocated+=R,this.log(),L},f.prototype.releaseTexture=function(p,l,m,g){if(this.freeTextures==null)return;var I=ya(m,g),R=va(l,I,g);R in this.freeTextures||(this.freeTextures[R]=[]);var z=Ya(l,I,this.gpgpu.gl,this.gpgpu.textureConfig,g),L=i.env().get("WEBGL_DELETE_TEXTURE_THRESHOLD");L!==-1&&this._numBytesAllocated>L?(this.gpgpu.deleteMatrixTexture(p),this._numBytesAllocated-=z):(this.freeTextures[R].push(p),this.numFreeTextures++,this._numBytesFree+=z),this.numUsedTextures--;var G=this.usedTextures[R],Z=G.indexOf(p);if(Z<0)throw new Error("Cannot release a texture that was never provided by this texture manager");G.splice(Z,1),this.log()},f.prototype.log=function(){if(!this.logEnabled)return;var p=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+p+")");var l=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*l)+"%)")},Object.defineProperty(f.prototype,"numBytesAllocated",{get:function(){return this._numBytesAllocated},enumerable:!0,configurable:!0}),Object.defineProperty(f.prototype,"numBytesFree",{get:function(){return this._numBytesFree},enumerable:!0,configurable:!0}),f.prototype.getNumUsedTextures=function(){return this.numUsedTextures},f.prototype.getNumFreeTextures=function(){return this.numFreeTextures},f.prototype.dispose=function(){var p=this;if(this.freeTextures==null)return;for(var l in this.freeTextures)this.freeTextures[l].forEach(function(m){p.gpgpu.deleteMatrixTexture(m)});for(var l in this.usedTextures)this.usedTextures[l].forEach(function(g){p.gpgpu.deleteMatrixTexture(g)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0},f}();function Dn(f,p){var l=f;if(p===l.R32F)return 4;if(p===l.R16F)return 2;if(p===l.RGBA32F)return 16;if(p===f.RGBA)return 16;if(p===l.RGBA16F)return 8;throw new Error("Unknown internal format "+p)}function Ya(f,p,l,m,g){var I=za(p,m),R;if(g){var z=tt(f[0],f[1]),L=z[0],G=z[1];R=L*G}else{var Z=ze(f[0],f[1]),be=Z[0],Ce=Z[1];R=be*Ce}var De=Dn(l,I);return R*De}function za(f,p){switch(f){case ge.PACKED_2X2_FLOAT32:return ue(p);case ge.PACKED_2X2_FLOAT16:return F(p);case ge.UNPACKED_FLOAT32:return Si(p);case ge.UNPACKED_FLOAT16:return zo(p);case ge.PACKED_4X1_UNSIGNED_BYTE:return ts(p);default:throw new Error("Unknown physical texture type "+f)}}function Qa(f){return i.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?f?ge.PACKED_2X2_FLOAT32:ge.UNPACKED_FLOAT32:f?ge.PACKED_2X2_FLOAT16:ge.UNPACKED_FLOAT16}function ya(f,p){if(f===w.UPLOAD)return ge.PACKED_2X2_FLOAT32;if(f===w.RENDER||f==null)return Qa(p);if(f===w.DOWNLOAD||f===w.PIXELS)return ge.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+f)}function va(f,p,l){return f[0]+"_"+f[1]+"_"+p+"_"+l}var Yi=function(){function f(p,l){this.variableNames=["A"];for(var m=new Array(p.length),g=0;g<m.length;g++)m[g]=p[g]*l[g];this.outputShape=m,this.rank=m.length;var I=nn(this.rank),R=Wi(p);this.userCode=`
      void main() {
        `+I+` resRC = getOutputCoords();
        setOutput(getA(`+R+`));
      }
    `}return f}();function Wi(f){var p=f.length;if(p>5)throw Error("Tile for rank "+p+" is not yet supported");if(p===1)return"imod(resRC, "+f[0]+")";for(var l=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],m=[],g=0;g<f.length;g++)m.push("imod("+l[g]+", "+f[g]+")");return m.join()}var Or=function(){function f(p,l){this.variableNames=["A"],this.outputShape=p,this.userCode=`
      float unaryOperation(float x) {
        `+l+`
      }

      void main() {
        float x = getAAtOutCoords();
        float y = unaryOperation(x);

        setOutput(y);
      }
    `}return f}(),Za="if (isnan(x)) return x;",rs="return x;",Po="return abs(x);",dn=Za+`
  return (x < 0.0) ? 0.0 : x;
`,Bo=Za+`
  return (x < 0.0) ? 0.0 : min(6.0, x);
`,Fn="return (x >= 0.0) ? x : (exp(x) - 1.0);",su=`
  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
  // see: https://arxiv.org/abs/1706.02515
  float scaleAlpha = `+i.backend_util.SELU_SCALEALPHA+`;
  float scale = `+i.backend_util.SELU_SCALE+`;
  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`;function cc(f){return f===void 0&&(f=0),Za+(`
    return x > 0.0 ? 1.0 : float(`+f+`);
  `)}var si="return -x;",Su="return ceil(x);",Iu="return floor(x);",lc=`
  if (isnan(x)) { return 0.0; }
  return sign(x);
`,xs="return float(isnan(x));",Ii="return float(isinf(x));",_s="return float(!isnan(x) && !isinf(x));",bo=`
  // OpenGL ES does not support round function.
  // The algorithm is based on banker's rounding.
  float base = floor(x);
  if ((x - base) < 0.5) {
    return floor(x);
  } else if ((x - base) > 0.5) {
    return ceil(x);
  } else {
    if (mod(base, 2.0) == 0.0) {
      return base;
    } else {
      return base + 1.0;
    }
  }
`,so="return exp(x);",Nu="return exp(x) - 1.0;",uu=`if (x < 0.0) return NAN;
  return log(x);`,ws="return log(1.0 + x);",Cu="return sqrt(x);",cu="return inversesqrt(x);",Tu="return 1.0 / (1.0 + exp(-1.0 * x));",hc=`
  float epsilon = 1.1920928955078125e-7;
  float threshold = log(epsilon) + 2.0;

  bool too_large = x > -threshold;
  bool too_small = x < threshold;

  float result;
  float exp_x = exp(x);

  if (too_large){
    result = x;
  }
  else if (too_small){
    result = exp_x;
  }
  else{
    result = log(exp_x + 1.0);
  }
  return result;
`,uo=Za+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return asin(x);
`,bs=Za+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return acos(x);
`,Eu=Za+`
  return atan(x);
`,pc=`
  float e2x = exp(x);
  return (e2x - 1.0 / e2x) / 2.0;
`,dc=`
  float e2x = exp(-x);
  return (e2x + 1.0 / e2x) / 2.0;
`,fc=`
  float e2x = exp(-2.0 * abs(x));
  return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,vl=Za+"return log(x + sqrt(x * x + 1.0));",Ru=Za+`
  if (x < 1.0) return NAN;
  return log(x + sqrt(x * x - 1.0));`,mc=Za+`
  if ((x < -1.0) || (x > 1.0)) return NAN;
  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,yc=`
  // Error function is calculated approximately with elementary function.
  // See "Handbook of Mathematical Functions with Formulas,
  // Graphs, and Mathematical Tables", Abramowitz and Stegun.
  float p = `+i.backend_util.ERF_P+`;
  float a1 = `+i.backend_util.ERF_A1+`;
  float a2 = `+i.backend_util.ERF_A2+`;
  float a3 = `+i.backend_util.ERF_A3+`;
  float a4 = `+i.backend_util.ERF_A4+`;
  float a5 = `+i.backend_util.ERF_A5+`;

  float sign = sign(x);
  x = abs(x);
  float t = 1.0 / (1.0 + p * x);
  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
`,Ni="return 1.0 / x;",ns="return float(!(x >= 1.0));",ks="return x;",vc="return x;",Wo=`
  vec4 result = log(x);
  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
  result.r = isNaN.r == 1.0 ? NAN : result.r;
  result.g = isNaN.g == 1.0 ? NAN : result.g;
  result.b = isNaN.b == 1.0 ? NAN : result.b;
  result.a = isNaN.a == 1.0 ? NAN : result.a;

  return result;
`,co=`
  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
  bvec4 isNaN = isnan(x);

  result.r = isNaN.r ? x.r : result.r;
  result.g = isNaN.g ? x.g : result.g;
  result.b = isNaN.b ? x.b : result.b;
  result.a = isNaN.a ? x.a : result.a;

  return result;
`,Uo=`
  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
  bvec4 isNaN = isnan(x);

  result.r = isNaN.r ? x.r : result.r;
  result.g = isNaN.g ? x.g : result.g;
  result.b = isNaN.b ? x.b : result.b;
  result.a = isNaN.a ? x.a : result.a;

  return result;
`,lu=`
  vec4 result;

  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);

  return result;
`,as=function(){function f(p,l){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=p,this.userCode=`
      vec4 unaryOperation(vec4 x) {
        `+l+`
      }

      void main() {
        vec4 x = getAAtOutCoords();
        vec4 y = unaryOperation(x);

        setOutput(y);
      }
    `}return f}(),Vo=function(){function f(p){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=p;var l=p.length,m=Vr("rc",l),g=nn(l),I=Jn(l,m),R=m.slice(-2),z=l<=1?"rc":"vec2("+R.join(",")+")";this.userCode=`
      void main() {
        `+g+` rc = getOutputCoords();
        vec4 packedInput = getA(`+I+`);

        setOutput(getChannel(packedInput, `+z+`));
      }
    `}return f}(),gl=i.backend_util.segment_util,xl=i.kernel_impls.split,Au=i.kernel_impls.tile,gc=i.kernel_impls.topkImpl,Us=i.kernel_impls.whereImpl,xc=1e-7,Qi=1e-4,hu={};function pr(f){return f in hu||(hu[f]={}),hu[f]}function Vs(f,p){if(p===void 0&&(p=!1),f==="linear")return p?vc:rs;if(f==="relu")return p?co:dn;if(f==="elu")return p?lu:Fn;if(f==="relu6")return p?Uo:Bo;if(f==="prelu")return p?Aa:ka;throw new Error("Activation "+f+" has not been implemented for the WebGL backend.")}var Ho=128,Du=600;function _c(){return i.env().global.screen==null?1024:i.env().global.screen.height*i.env().global.screen.width*window.devicePixelRatio*Du/1024/1024}var Fu=1e3,Go=function(f){O(p,f);function p(l){var m=f.call(this)||this;if(m.pendingRead=new WeakMap,m.pendingDisposal=new WeakSet,m.dataRefCount=new WeakMap,m.numBytesInGPU=0,m.uploadWaitMs=0,m.downloadWaitMs=0,m.warnedAboutMemory=!1,m.warnedAboutCPUBackend=!1,m.pendingDeletes=0,m.disposed=!1,!i.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(l==null){var g=P(i.env().getNumber("WEBGL_VERSION"));m.binaryCache=pr(i.env().getNumber("WEBGL_VERSION")),m.gpgpu=new Oe(g),m.canvas=g.canvas,m.gpgpuCreatedLocally=!0}else m.gpgpu=l,m.binaryCache={},m.gpgpuCreatedLocally=!1,m.canvas=l.gl.canvas;return m.textureManager=new Da(m.gpgpu),m.numMBBeforeWarning=_c(),m.texData=new i.DataStorage(m,i.engine()),m}return p.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},p.prototype.write=function(l,m,g){if((i.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||i.env().getBool("DEBUG"))&&this.checkNumericalProblems(l),g==="complex64"&&l!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var I={};return this.texData.set(I,{shape:m,dtype:g,values:l,usage:w.UPLOAD,refCount:1,complexParentRefCount:0}),I},p.prototype.incRef=function(l){var m=this.texData.get(l);m.refCount++},p.prototype.decRef=function(l){if(this.texData.has(l)){var m=this.texData.get(l);m.refCount--}},p.prototype.move=function(l,m,g,I){if(i.env().getBool("DEBUG")&&this.checkNumericalProblems(m),I==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(l,{shape:g,dtype:I,values:m,usage:w.UPLOAD,refCount:1,complexParentRefCount:0})},p.prototype.disposeIntermediateTensorInfo=function(l){var m=l.dataId;if(this.texData.has(m)){var g=this.texData.get(m);g.refCount--,g.refCount<1&&this.disposeData(m)}},p.prototype.readSync=function(l){var m=this.texData.get(l),g=m.values,I=m.dtype,R=m.complexTensorInfos,z=m.slice,L=m.shape,G=m.isPacked;if(z!=null){var Z=void 0;G?Z=new as(L,ks):Z=new Or(L,ks);var be=this.runWebGLProgram(Z,[{dataId:l,shape:L,dtype:I}],I),Ce=this.readSync(be.dataId);return this.disposeIntermediateTensorInfo(be),Ce}if(g!=null)return this.convertAndCacheOnCPU(l);if(I==="string")return g;var De=this.activeTimers!=null,Te;De&&(Te=i.util.now());var Ge;if(I==="complex64"){var Ze=this.readSync(R.real.dataId),s=this.readSync(R.imag.dataId);Ge=i.backend_util.mergeRealAndImagArrays(Ze,s)}else Ge=this.getValuesFromTexture(l);return De&&(this.downloadWaitMs+=i.util.now()-Te),this.convertAndCacheOnCPU(l,Ge)},p.prototype.read=function(l){return H(this,void 0,void 0,function(){var m,g,I,R,z,L,G,Z,be,Ce,De,Te,Ge,Ze,s,u,r,o,h,b,T,M;return se(this,function(q){switch(q.label){case 0:if(this.pendingRead.has(l))return m=this.pendingRead.get(l),[2,new Promise(function(Y){return m.push(Y)})];if(g=this.texData.get(l),I=g.values,R=g.shape,z=g.slice,L=g.dtype,G=g.complexTensorInfos,Z=g.isPacked,z!=null)return be=void 0,Z?be=new as(R,ks):be=new Or(R,ks),Ce=this.runWebGLProgram(be,[{dataId:l,shape:R,dtype:L}],L),De=this.read(Ce.dataId),this.disposeIntermediateTensorInfo(Ce),[2,De];if(I!=null)return[2,this.convertAndCacheOnCPU(l)];if(!i.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&i.env().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return Te=null,L!=="complex64"&&i.env().get("WEBGL_BUFFER_SUPPORTED")&&(Ge=this.decode(l),Ze=this.texData.get(Ge.dataId),Te=(M=this.gpgpu).createBufferFromTexture.apply(M,[Ze.texture].concat(nt(R)))),this.pendingRead.set(l,[]),L!=="complex64"?[4,this.gpgpu.createAndWaitForFence()]:[3,2];case 1:q.sent(),q.label=2;case 2:return L==="complex64"?[4,Promise.all([this.read(G.real.dataId),this.read(G.imag.dataId)])]:[3,4];case 3:return u=q.sent(),r=u[0],o=u[1],s=i.backend_util.mergeRealAndImagArrays(r,o),[3,5];case 4:Te==null?s=this.getValuesFromTexture(l):(h=i.util.sizeFromShape(R),s=this.gpgpu.downloadFloat32MatrixFromBuffer(Te,h)),q.label=5;case 5:return Ge!=null&&this.disposeIntermediateTensorInfo(Ge),b=this.convertAndCacheOnCPU(l,s),T=this.pendingRead.get(l),this.pendingRead.delete(l),T.forEach(function(Y){return Y(b)}),this.pendingDisposal.has(l)&&(this.pendingDisposal.delete(l),this.disposeData(l),this.pendingDeletes--),[2,b]}})})},p.prototype.checkNumericalProblems=function(l){if(l==null)return;for(var m=0;m<l.length;m++){var g=l[m];if(!ht(g))throw i.env().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error("The value "+g+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'"):Error("The value "+g+" cannot be represented on this device.")}},p.prototype.getValuesFromTexture=function(l){var m,g=this.texData.get(l),I=g.shape,R=g.dtype,z=g.isPacked,L=i.util.sizeFromShape(I);if(i.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var G=this.decode(l),Z=this.texData.get(G.dataId),be=(m=this.gpgpu).downloadMatrixFromPackedTexture.apply(m,[Z.texture].concat(nt(I))).subarray(0,L);return this.disposeIntermediateTensorInfo(G),be}var Ce=i.env().getBool("WEBGL_PACK")&&z===!0,De=Ce?wi(I):I,Te=Ce?new Bs(De):new wo(De),Ge=this.runWebGLProgram(Te,[{shape:De,dtype:R,dataId:l}],"float32"),Ze=this.texData.get(Ge.dataId),s=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(Ze.texture,Ze.texShape[0],Ze.texShape[1]).subarray(0,L);return this.disposeIntermediateTensorInfo(Ge),s},p.prototype.time=function(l){return H(this,void 0,void 0,function(){var m,g,I,R,z,L,G;return se(this,function(Z){switch(Z.label){case 0:return m=this.activeTimers,g=[],I=!1,this.programTimersStack==null?(this.programTimersStack=g,I=!0):this.activeTimers.push(g),this.activeTimers=g,l(),R=i.util.flatten(this.activeTimers.map(function(be){return be.query})).filter(function(be){return be!=null}),z=i.util.flatten(this.activeTimers.map(function(be){return be.name})).filter(function(be){return be!=null}),this.activeTimers=m,I&&(this.programTimersStack=null),L={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(R)]:[3,2];case 1:return G=Z.sent(),L.kernelMs=i.util.sum(G),L.getExtraProfileInfo=function(){return G.map(function(be,Ce){return{name:z[Ce],ms:be}}).map(function(be){return be.name+": "+be.ms}).join(", ")},[3,3];case 2:L.kernelMs={error:"WebGL query timers are not supported in this environment."},Z.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,L]}})})},p.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},p.prototype.startTimer=function(){return i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:i.util.now(),endMs:null}},p.prototype.endTimer=function(l){return i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),l):(l.endMs=i.util.now(),l)},p.prototype.getQueryTime=function(l){return H(this,void 0,void 0,function(){var m;return se(this,function(g){return i.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(l)]:(m=l,[2,m.endMs-m.startMs])})})},p.prototype.disposeData=function(l){if(this.pendingDisposal.has(l))return;if(this.pendingRead.has(l)){this.pendingDisposal.add(l),this.pendingDeletes++;return}if(!this.texData.has(l))return;if(this.texData.get(l).complexParentRefCount>0){this.texData.get(l).refCount--;return}this.releaseGPUData(l);var m=this.texData.get(l).complexTensorInfos;m!=null&&(this.texData.get(m.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(m.real),this.texData.get(m.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(m.imag)),this.texData.delete(l)},p.prototype.releaseGPUData=function(l){var m=this.texData.get(l),g=m.texture,I=m.dtype,R=m.texShape,z=m.usage,L=m.isPacked,G=m.slice,Z=G&&G.origDataId||l,be=this.dataRefCount.get(Z);be>1?this.dataRefCount.set(Z,be-1):(this.dataRefCount.delete(Z),g!=null&&(this.numBytesInGPU-=this.computeBytes(R,I),this.textureManager.releaseTexture(g,R,z,L)));var Ce=this.texData.get(l);Ce.texture=null,Ce.texShape=null,Ce.isPacked=!1,Ce.slice=null},p.prototype.getTexture=function(l){return this.uploadToGPU(l),this.texData.get(l).texture},p.prototype.getDataInfo=function(l){return this.texData.get(l)},p.prototype.getCPUBackend=function(){return i.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=i.engine().findBackend("cpu")),this.cpuBackend):null},p.prototype.shouldExecuteOnCPU=function(l,m){var g=this;m===void 0&&(m=Ho);var I=this.getCPUBackend();return!this.warnedAboutCPUBackend&&I==null&&(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),I!=null&&l.every(function(R){return g.texData.get(R.dataId).texture==null&&i.util.sizeFromShape(R.shape)<m})},p.prototype.getGPGPUContext=function(){return this.gpgpu},p.prototype.slice=function(l,m,g){if(this.shouldExecuteOnCPU([l])){var I=fa(this.texData.get(l.dataId).values,m,g,l.shape,l.dtype);return this.makeOutput(g,l.dtype,I)}if(i.util.sizeFromShape(g)===0)return i.tensor([],g,l.dtype);var R=this.texData.get(l.dataId).isPacked,z=i.slice_util.isSliceContinous(l.shape,m,g);if(R||!z){var L=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Bn(g):new Nn(g),G=L.getCustomSetupFunc(m);return this.compileAndRun(L,[l],null,G)}return this.uploadToGPU(l.dataId),this.shallowSlice(l,m,g)},p.prototype.shallowSlice=function(l,m,g){var I=this.texData.get(l.dataId),R=this.makeOutput(g,l.dtype),z=this.texData.get(R.dataId);Object.assign(z,I),z.shape=g,z.dtype=l.dtype;var L=i.slice_util.computeFlatOffset(m,l.strides);I.slice&&(L+=I.slice.flatOffset),z.slice={flatOffset:L,origDataId:I.slice&&I.slice.origDataId||l.dataId};var G=this.dataRefCount.get(z.slice.origDataId)||1;return this.dataRefCount.set(z.slice.origDataId,G+1),R},p.prototype.stridedSlice=function(l,m,g,I){var R=this,z=this.tryRunOnCpuOrThrow([l],function(){return R.cpuBackend.stridedSlice(l,m,g,I)});if(z)return z;var L=i.slice_util.computeOutShape(m,g,I);if(L.some(function(Z){return Z===0}))return i.tensor([],L);var G=new Pn(m,I,L);return this.compileAndRun(G,[l])},p.prototype.reverse=function(l,m){var g=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Er(l.shape,m):new fr(l.shape,m);return this.compileAndRun(g,[l])},p.prototype.neg=function(l){var m=this,g=this.tryRunOnCpuOrThrow([l],function(){return m.cpuBackend.neg(l)});if(g)return g;if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,si,l.dtype);var I=new Or(l.shape,si);return this.compileAndRun(I,[l])},p.prototype.batchMatMul=function(l,m,g,I){var R=g?l.shape[2]:l.shape[1],z=I?m.shape[1]:m.shape[2],L=g?l.shape[1]:l.shape[2],G=Math.max(l.shape[0],m.shape[0]);if((R===1||z===1)&&L>Fu){g&&(l=i.transpose(l,[0,2,1])),I&&(m=i.transpose(m,[0,2,1]));var Z=z===1?l:l.as3D(G,L,1),be=z===1?2:1,Ce=z===1?m.as3D(G,1,L):m,De=i.mul(Z,Ce);return De.sum(be,!0)}var Te=i.upcastType(l.dtype,m.dtype),Ge=new Lt(l.shape,m.shape,[G,R,z],g,I);return this.compileAndRun(Ge,[l,m],Te)},p.prototype.fusedBatchMatMul=function(l){var m=l.a,g=l.b,I=l.transposeA,R=l.transposeB,z=l.bias,L=l.activation,G=l.preluActivationWeights,Z=I?m.shape[2]:m.shape[1],be=R?g.shape[1]:g.shape[2],Ce=Math.max(m.shape[0],g.shape[0]),De=i.upcastType(m.dtype,g.dtype),Te=z!=null,Ge=G!=null,Ze=L?Vs(L,!0):null,s=new Lt(m.shape,g.shape,[Ce,Z,be],I,R,Te,Ze,Ge),u=[m,g];return z&&u.push(z),G&&u.push(G),this.compileAndRun(s,u,De)},p.prototype.localResponseNormalization4D=function(l,m,g,I,R){var z=i.env().getBool("WEBGL_PACK_NORMALIZATION")?new lt(l.shape,m,g,I,R):new et(l.shape,m,g,I,R);return this.compileAndRun(z,[l])},p.prototype.LRNGrad=function(l,m,g,I,R,z,L){var G=new gt(m.shape,I,R,z,L);return this.compileAndRun(G,[m,g,l])},p.prototype.tile=function(l,m){if(l.dtype==="string"){var g=this.readSync(l.dataId),I=g.map(function(L){return i.util.decodeString(L)}),R=i.buffer(l.shape,l.dtype,I);return Au(R,m)}var z=new Yi(l.shape,m);return this.compileAndRun(z,[l])},p.prototype.pad=function(l,m,g){var I=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Et(l.shape,m,g):new wt(l.shape,m,g);return this.compileAndRun(I,[l])},p.prototype.gather=function(l,m,g){var I=this,R=this.tryRunOnCpuOrThrow([l,m],function(){return I.cpuBackend.gather(l,m,g)});if(R)return R;var z=new iu(l.shape,m.size,g);return this.compileAndRun(z,[l,m])},p.prototype.batchToSpaceND=function(l,m,g){i.util.assert(l.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var I=m.reduce(function(be,Ce){return be*Ce}),R=i.backend_util.getReshaped(l.shape,m,I),z=i.backend_util.getPermuted(R.length,m.length),L=i.backend_util.getReshapedPermuted(l.shape,m,I),G=i.backend_util.getSliceBeginCoords(g,m.length),Z=i.backend_util.getSliceSize(L,g,m.length);return i.transpose(l.reshape(R),z).reshape(L).slice(G,Z)},p.prototype.spaceToBatchND=function(l,m,g){i.util.assert(l.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var I=m.reduce(function(De,Te){return De*Te}),R=[[0,0]];R.push.apply(R,g);for(var z=1+m.length;z<l.shape.length;++z)R.push([0,0]);var L=l.pad(R),G=i.backend_util.getReshaped(L.shape,m,I,!1),Z=i.backend_util.getPermuted(G.length,m.length,!1),be=i.backend_util.getReshapedPermuted(L.shape,m,I,!1),Ce=i.transpose(L.reshape(G),Z);return i.reshape(Ce,be)},p.prototype.reduce=function(l,m,g){var I=l.shape[0],R=l.shape[1],z=i.backend_util.computeOptimalWindowSize(R),L=Math.ceil(R/z),G={windowSize:z,inSize:R,batchSize:I,outSize:L},Z=new cr(G,m),be=this.compileAndRun(Z,[l],g);return be.shape[1]===1?be:this.reduce(be,m,g)},p.prototype.argReduce=function(l,m,g){g===void 0&&(g=null);var I=l.shape[0],R=l.shape[1];g!=null&&(I=g.shape[0],R=g.shape[1]);var z=i.backend_util.computeOptimalWindowSize(R),L={windowSize:z,inSize:R,batchSize:I,outSize:Math.ceil(R/z)},G=new na(L,m,g==null),Z=[l];g!=null&&Z.push(g);var be=this.compileAndRun(G,Z,"int32");return be.shape[1]===1?be:this.argReduce(l,m,be)},p.prototype.argReducePacked=function(l,m,g){g===void 0&&(g=null);var I=g!=null?g.shape:l.shape,R=I[I.length-1],z=i.backend_util.computeOptimalWindowSize(R),L=new Ki(I,z,m,g==null),G=g==null?[l]:[l,g],Z=this.compileAndRun(L,G,"int32");return Z.rank===l.rank?this.argReducePacked(l,m,Z):Z},p.prototype.sum=function(l,m){i.backend_util.assertAxesAreInnerMostDims("sum",m,l.rank);var g=i.backend_util.computeOutAndReduceShapes(l.shape,m),I=g[0],R=g[1],z=i.util.sizeFromShape(R),L=l.as2D(-1,z),G=i.sumOutType(l.dtype);return this.reduce(L,"sum",G).reshape(I)},p.prototype.prod=function(l,m){var g=this,I=this.tryRunOnCpuOrThrow([l],function(){return g.cpuBackend.prod(l,m)});if(I)return I;var R=i.backend_util.computeOutAndReduceShapes(l.shape,m),z=R[0],L=R[1],G=i.util.sizeFromShape(L),Z=l.as2D(-1,G),be=i.sumOutType(l.dtype);return this.reduce(Z,"prod",be).reshape(z)},p.prototype.unsortedSegmentSum=function(l,m,g){var I=0,R=i.backend_util.getAxesPermutation([I],l.rank),z=l;R!=null&&(z=i.transpose(l,R),I=i.backend_util.getInnerMostAxes(1,l.rank)[0]);var L=gl.computeOutShape(z.shape,I,g),G=i.util.sizeFromShape([z.shape[I]]),Z=z.as2D(-1,G),be=i.sumOutType(l.dtype),Ce=this.segOpCompute(Z,"unsortedSegmentSum",m,be,g).reshape(L);return R!=null&&(Ce=i.transpose(Ce,i.backend_util.getUndoAxesPermutation(R))),Ce},p.prototype.segOpCompute=function(l,m,g,I,R){var z=l.shape[0],L=l.shape[1],G=gl.segOpComputeOptimalWindowSize(L,R),Z={windowSize:G,inSize:L,batchSize:z,numSegments:R},be=new wn(Z,m),Ce=this.compileAndRun(be,[l,g],I);return Ce.shape[1]===R?Ce:(g=i.range(0,R).tile([L/G]),this.segOpCompute(Ce,m,g,I,R))},p.prototype.argMinMaxReduce=function(l,m,g){var I=[m];if(i.backend_util.assertAxesAreInnerMostDims("arg"+g.charAt(0).toUpperCase()+g.slice(1),I,l.rank),!i.env().getBool("WEBGL_PACK_REDUCE")||l.rank<=2){var R=i.backend_util.computeOutAndReduceShapes(l.shape,I),z=R[0],L=R[1],G=i.util.sizeFromShape(L),Z=l.as2D(-1,G);return this.argReduce(Z,g).reshape(z)}return this.argReducePacked(l,g)},p.prototype.argMin=function(l,m){return this.argMinMaxReduce(l,m,"min")},p.prototype.argMax=function(l,m){return this.argMinMaxReduce(l,m,"max")},p.prototype.cumsum=function(l,m,g,I){if(m!==l.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(l.rank-1)+" "+("but got axis="+m));for(var R=l.shape[m],z=l,L=0;L<=Math.ceil(Math.log2(R))-1;L++){var G=new Zo(l.shape,!1,I),Z=G.getCustomSetupFunc(L),be=z;z=this.compileAndRun(G,[z],z.dtype,Z),be.dispose()}if(g){var G=new Zo(l.shape,g,I),be=z;z=this.compileAndRun(G,[z]),be.dispose()}return z},p.prototype.equal=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,To,"bool");var g=new vn(ao,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.less=function(l,m){var g=this,I=this.tryRunOnCpuOrThrow([l,m],function(){return g.cpuBackend.less(l,m)});if(I)return I;if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Rs,"bool");var R=new vn(Ko,l.shape,m.shape);return this.compileAndRun(R,[l,m],"bool")},p.prototype.lessEqual=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Eo,"bool");var g=new vn(No,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.greater=function(l,m){var g=this,I=this.tryRunOnCpuOrThrow([l,m],function(){return g.cpuBackend.greater(l,m)});if(I)return I;if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,As,"bool");var R=new vn(Co,l.shape,m.shape);return this.compileAndRun(R,[l,m],"bool")},p.prototype.greaterEqual=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Ds,"bool");var g=new vn(io,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.logicalNot=function(l){var m=new Or(l.shape,ns);return this.compileAndRun(m,[l])},p.prototype.logicalAnd=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Xo,"bool");var g=new vn(ia,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.logicalOr=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Ro,"bool");var g=new vn(Pr,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.select=function(l,m,g){var I=new ie(l.rank,m.shape,m.rank);return this.compileAndRun(I,[l,m,g],i.upcastType(m.dtype,g.dtype))},p.prototype.where=function(l){i.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var m=l.dataSync();return Us(l.shape,m)},p.prototype.topk=function(l,m,g){var I=l.dataSync();return gc(I,l.shape,l.dtype,m,g)},p.prototype.min=function(l,m){i.backend_util.assertAxesAreInnerMostDims("min",m,l.rank);var g=i.backend_util.computeOutAndReduceShapes(l.shape,m),I=g[0],R=g[1],z=i.util.sizeFromShape(R),L=l.as2D(-1,z);return this.reduce(L,"min",L.dtype).reshape(I)},p.prototype.minimum=function(l,m){var g=this,I=this.tryRunOnCpuOrThrow([l,m],function(){return g.cpuBackend.minimum(l,m)});if(I)return I;var R=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(Ao,l.shape,m.shape):new vn(Xa,l.shape,m.shape);return this.compileAndRun(R,[l,m])},p.prototype.mod=function(l,m){var g=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(Qo,l.shape,m.shape):new vn(Qn,l.shape,m.shape);return this.compileAndRun(g,[l,m])},p.prototype.maximum=function(l,m){var g=this,I=this.tryRunOnCpuOrThrow([l,m],function(){return g.cpuBackend.maximum(l,m)});if(I)return I;var R=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(Yo,l.shape,m.shape):new vn(oa,l.shape,m.shape);return this.compileAndRun(R,[l,m])},p.prototype.all=function(l,m){i.backend_util.assertAxesAreInnerMostDims("all",m,l.rank);var g=i.backend_util.computeOutAndReduceShapes(l.shape,m),I=g[0],R=g[1],z=i.util.sizeFromShape(R),L=l.as2D(-1,z);return this.reduce(L,"all",L.dtype).reshape(I)},p.prototype.any=function(l,m){i.backend_util.assertAxesAreInnerMostDims("any",m,l.rank);var g=i.backend_util.computeOutAndReduceShapes(l.shape,m),I=g[0],R=g[1],z=i.util.sizeFromShape(R),L=l.as2D(-1,z);return this.reduce(L,"any",L.dtype).reshape(I)},p.prototype.floorDiv=function(l,m){var g=mo,I="int32";if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,yo,I);var R=new vn(g,l.shape,m.shape);return this.compileAndRun(R,[l,m],I)},p.prototype.packedUnaryOp=function(l,m,g){var I=new as(l.shape,m);return this.compileAndRun(I,[l],g)},p.prototype.packedBinaryOp=function(l,m,g,I,R){R===void 0&&(R=!1);var z=new vi(g,l.shape,m.shape,R);return this.compileAndRun(z,[l,m],I)},p.prototype.makeComplexComponentTensorInfo=function(l,m){return{dataId:m.dataId,dtype:m.dtype,shape:l.shape}},p.prototype.addN=function(l){if(l.length===1)return l[0];if(l.length>i.env().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var m=Math.floor(l.length/2),g=this.addN(l.slice(0,m)),I=this.addN(l.slice(m));return this.addN([g,I])}var R=l.map(function(Z){return Z.dtype}).reduce(function(Z,be){return i.upcastType(Z,be)}),z=l.map(function(Z){return Z.shape}),L=i.env().getBool("WEBGL_PACK"),G=L?new hn(l[0].shape,z):new sn(l[0].shape,z);return this.compileAndRun(G,l,R)},p.prototype.pow=function(l,m){var g=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),I=g?new vi(vo,l.shape,m.shape):new vn(Ka,l.shape,m.shape),R=i.upcastType(l.dtype,m.dtype);return this.compileAndRun(I,[l,m],R)},p.prototype.ceil=function(l){if(this.shouldExecuteOnCPU([l])){var m=Le(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,Su,l.dtype);var g=new Or(l.shape,Su);return this.compileAndRun(g,[l])},p.prototype.floor=function(l){if(this.shouldExecuteOnCPU([l])){var m=St(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,Iu,l.dtype);var g=new Or(l.shape,Iu);return this.compileAndRun(g,[l])},p.prototype.sign=function(l){var m=new Or(l.shape,lc);return this.compileAndRun(m,[l])},p.prototype.isNaN=function(l){var m=new Or(l.shape,xs);return this.compileAndRun(m,[l],"bool")},p.prototype.isInf=function(l){var m=new Or(l.shape,Ii);return this.compileAndRun(m,[l],"bool")},p.prototype.isFinite=function(l){var m=new Or(l.shape,_s);return this.compileAndRun(m,[l],"bool")},p.prototype.round=function(l){var m=new Or(l.shape,bo);return this.compileAndRun(m,[l])},p.prototype.exp=function(l){if(this.shouldExecuteOnCPU([l])){var m=Ye(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,so,l.dtype);var g=new Or(l.shape,so);return this.compileAndRun(g,[l])},p.prototype.expm1=function(l){if(this.shouldExecuteOnCPU([l])){var m=Ft(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,Nu,l.dtype);var g=new Or(l.shape,Nu);return this.compileAndRun(g,[l])},p.prototype.softmax=function(l,m){var g=i.util.parseAxisParam([m],l.shape),I=i.max(l,g),R=i.backend_util.expandShapeToKeepDim(I.shape,g),z=i.sub(l,I.reshape(R)),L=this.exp(z),G=this.sum(L,g).reshape(R);return i.div(L,G)},p.prototype.log=function(l){if(this.shouldExecuteOnCPU([l])){var m=Mt(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,Wo,l.dtype);var g=new Or(l.shape,uu);return this.compileAndRun(g,[l])},p.prototype.log1p=function(l){var m=new Or(l.shape,ws);return this.compileAndRun(m,[l])},p.prototype.sqrt=function(l){var m=new Or(l.shape,Cu);return this.compileAndRun(m,[l])},p.prototype.rsqrt=function(l){if(this.shouldExecuteOnCPU([l])){var m=ta(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}var g=new Or(l.shape,cu);return this.compileAndRun(g,[l])},p.prototype.reciprocal=function(l){var m=new Or(l.shape,Ni);return this.compileAndRun(m,[l])},p.prototype.relu=function(l){var m;return i.env().getBool("WEBGL_PACK")?m=new as(l.shape,co):m=new Or(l.shape,dn),this.compileAndRun(m,[l])},p.prototype.relu6=function(l){var m;return i.env().getBool("WEBGL_PACK")?m=new as(l.shape,Uo):m=new Or(l.shape,Bo),this.compileAndRun(m,[l])},p.prototype.prelu=function(l,m){var g=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(Aa,l.shape,m.shape):new vn(ka,l.shape,m.shape);return this.compileAndRun(g,[l,m])},p.prototype.elu=function(l){if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,lu,l.dtype);var m=new Or(l.shape,Fn);return this.compileAndRun(m,[l])},p.prototype.eluDer=function(l,m){var g=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(go,l.shape,m.shape):new vn(oo,l.shape,m.shape);return this.compileAndRun(g,[l,m])},p.prototype.selu=function(l){var m=new Or(l.shape,su);return this.compileAndRun(m,[l])},p.prototype.clip=function(l,m,g){var I;i.env().getBool("WEBGL_PACK_CLIP")?I=new tu(l.shape):I=new Fs(l.shape);var R=I.getCustomSetupFunc(m,g);return this.compileAndRun(I,[l],null,R)},p.prototype.abs=function(l){if(this.shouldExecuteOnCPU([l])&&l.dtype!=="complex64"){var m=kt(this.texData.get(l.dataId).values);return this.makeOutput(l.shape,l.dtype,m)}if(i.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(l,Po,l.dtype);var g=new Or(l.shape,Po);return this.compileAndRun(g,[l])},p.prototype.complexAbs=function(l){var m=this.texData.get(l.dataId),g=new ps(l.shape),I=[this.makeComplexComponentTensorInfo(l,m.complexTensorInfos.real),this.makeComplexComponentTensorInfo(l,m.complexTensorInfos.imag)];return this.compileAndRun(g,I)},p.prototype.sigmoid=function(l){var m=new Or(l.shape,Tu);return this.compileAndRun(m,[l])},p.prototype.softplus=function(l){var m=new Or(l.shape,hc);return this.compileAndRun(m,[l])},p.prototype.asin=function(l){var m=new Or(l.shape,uo);return this.compileAndRun(m,[l])},p.prototype.acos=function(l){var m=new Or(l.shape,bs);return this.compileAndRun(m,[l])},p.prototype.atan=function(l){var m=new Or(l.shape,Eu);return this.compileAndRun(m,[l])},p.prototype.sinh=function(l){var m=new Or(l.shape,pc);return this.compileAndRun(m,[l])},p.prototype.cosh=function(l){var m=new Or(l.shape,dc);return this.compileAndRun(m,[l])},p.prototype.tanh=function(l){var m=new Or(l.shape,fc);return this.compileAndRun(m,[l])},p.prototype.asinh=function(l){var m=new Or(l.shape,vl);return this.compileAndRun(m,[l])},p.prototype.acosh=function(l){var m=new Or(l.shape,Ru);return this.compileAndRun(m,[l])},p.prototype.atanh=function(l){var m=new Or(l.shape,mc);return this.compileAndRun(m,[l])},p.prototype.erf=function(l){var m=new Or(l.shape,yc);return this.compileAndRun(m,[l])},p.prototype.step=function(l,m){var g=new Or(l.shape,cc(m));return this.compileAndRun(g,[l])},p.prototype.conv2dByMatMul=function(l,m,g,I,R,z){var L=l.shape,G=this.texData.get(l.dataId),Z=g.inChannels,be=L[0]*L[1]*L[2],Ce=g.outChannels,De=g.dataFormat==="channelsLast",Te=!1,Ge=!1,Ze=(be===1||Ce===1)&&Z>Fu,s=L[2]%2!==0&&!!G.isPacked;if(Ze||!i.env().getBool("WEBGL_LAZILY_UNPACK")||!i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!s){var u=De?L[0]*L[1]*L[2]:L[0]*L[2]*L[3],r=i.reshape(l,[1,u,g.inChannels]),o=i.reshape(m,[1,g.inChannels,g.outChannels]),h=this.fusedBatchMatMul({a:r,b:o,transposeA:Te,transposeB:Ge,bias:I,activation:R,preluActivationWeights:z});return i.reshape(h,g.outShape)}var b=De?L[0]*L[1]*(L[2]+1):L[0]*L[2]*(L[3]+1),T={dataId:l.dataId,shape:[1,b,g.inChannels],dtype:l.dtype},M=G.shape;G.shape=G.shape.slice(),G.shape[G.shape.length-2]++,i.util.assert(_n(G.shape,T.shape),function(){return"packed reshape "+G.shape+" to "+T.shape+" isn't free"});var q=i.reshape(m,[1,g.inChannels,g.outChannels]),Y=this.fusedBatchMatMul({a:T,b:q,transposeA:Te,transposeB:Ge,bias:I,activation:R,preluActivationWeights:z}),le=this.texData.get(Y.dataId);return i.util.assert(le.isPacked,function(){return"batchMatMul result is expected to be packed"}),G.shape=M,le.shape=g.outShape,i.engine().makeTensorFromDataId(Y.dataId,g.outShape,Y.dtype)},p.prototype.conv2dWithIm2Row=function(l,m,g,I,R,z){var L=g.filterWidth,G=g.filterHeight,Z=g.inChannels,be=g.outWidth,Ce=g.outHeight,De=g.dataFormat,Te=De==="channelsLast",Ge=L*G*Z,Ze=Ce*be,s=[Ge,Ze],u=!0,r=!1,o=l.squeeze([0]),h=m.reshape([1,Ge,-1]),b=new $(s,o.shape,g),T=this.compileAndRun(b,[o]).reshape([1,s[0],s[1]]),M=I!=null,q=z!=null,Y=R?Vs(R,!0):null,le=new Lt(T.shape,h.shape,[1,Ze,g.outChannels],u,r,M,Y,q),Ne=[T,h];I&&Ne.push(I),q&&Ne.push(z);var We=this.compileAndRun(le,Ne);return Te?We.reshape([1,Ce,be,g.outChannels]):We.reshape([1,g.outChannels,Ce,be])},p.prototype.fusedConv2d=function(l){var m=l.input,g=l.filter,I=l.convInfo,R=l.bias,z=l.activation,L=l.preluActivationWeights;if(I.filterHeight===1&&I.filterWidth===1&&I.dilationHeight===1&&I.dilationWidth===1&&I.strideHeight===1&&I.strideWidth===1&&(I.padInfo.type==="SAME"||I.padInfo.type==="VALID"))return this.conv2dByMatMul(m,g,I,R,z,L);if(i.env().getBool("WEBGL_CONV_IM2COL")&&m.shape[0]===1)return this.conv2dWithIm2Row(m,g,I,R,z,L);var G=R!=null,Z=L!=null,be=z?Vs(z,!1):null,Ce=new fs(I,G,be,Z),De=[m,g];return R&&De.push(R),L&&De.push(L),this.compileAndRun(Ce,De)},p.prototype.conv2d=function(l,m,g){if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))return this.conv2dByMatMul(l,m,g);if(i.env().getBool("WEBGL_CONV_IM2COL")&&l.shape[0]===1)return this.conv2dWithIm2Row(l,m,g);var I=new fs(g);return this.compileAndRun(I,[l,m])},p.prototype.conv2dDerInput=function(l,m,g){var I=new Os(g);return this.compileAndRun(I,[l,m])},p.prototype.conv2dDerFilter=function(l,m,g){var I=new ru(g);return this.compileAndRun(I,[l,m])},p.prototype.fusedDepthwiseConv2D=function(l){var m=l.input,g=l.filter,I=l.convInfo,R=l.bias,z=l.activation,L=l.preluActivationWeights,G=i.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&I.strideWidth<=2&&I.outChannels/I.inChannels===1,Z=z?Vs(z,G):null,be=[m,g],Ce=R!=null,De=L!=null;Ce&&be.push(R),De&&be.push(L);var Te;return G?(Te=new Do(I,Ce,Z,De),this.compileAndRun(Te,be)):(Te=new ms(I,Ce,Z,De),this.compileAndRun(Te,be))},p.prototype.depthwiseConv2D=function(l,m,g){var I;return i.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1?(I=new Do(g),this.compileAndRun(I,[l,m])):(I=new ms(g),this.compileAndRun(I,[l,m]))},p.prototype.depthwiseConv2DDerInput=function(l,m,g){var I=new nu(g);return this.compileAndRun(I,[l,m])},p.prototype.depthwiseConv2DDerFilter=function(l,m,g){var I=new Ls(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3d=function(l,m,g){var I=new au(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3dDerInput=function(l,m,g){var I=new Ms(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3dDerFilter=function(l,m,g){var I=new ds(g);return this.compileAndRun(I,[l,m])},p.prototype.unstack=function(l,m){for(var g=l.shape[m],I=new Array(l.rank-1),R=0,z=0;z<l.rank;z++)z!==m&&(I[R++]=l.shape[z]);var L=new Array(l.rank).fill(0),G=l.shape.slice();G[m]=1;for(var Z=new Array(g),z=0;z<Z.length;z++)L[m]=z,Z[z]=this.slice(l,L,G).reshape(I);return Z},p.prototype.avgPool3d=function(l,m){var g=new jt(m,"avg",!1);return this.compileAndRun(g,[l],"float32")},p.prototype.avgPool3dBackprop=function(l,m,g){var I=new Pi(g);return this.compileAndRun(I,[l],m.dtype)},p.prototype.maxPool3d=function(l,m){var g=new jt(m,"max",!1);return this.compileAndRun(g,[l],"float32")},p.prototype.maxPool3dBackprop=function(l,m,g,I){var R=!0,z=new jt(I,"max",R),L=this.compileAndRun(z,[m]),G=new At(I),Z=this.compileAndRun(G,[l,L],m.dtype);return L.dispose(),Z},p.prototype.resizeBilinear=function(l,m,g,I){var R=i.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Tr(l.shape,m,g,I):new Nr(l.shape,m,g,I);return this.compileAndRun(R,[l],"float32")},p.prototype.resizeBilinearBackprop=function(l,m,g){var I=new br(l,m,g);return this.compileAndRun(I,[l])},p.prototype.resizeNearestNeighbor=function(l,m,g,I){var R=new Dr(l.shape,m,g,I);return this.compileAndRun(R,[l])},p.prototype.resizeNearestNeighborBackprop=function(l,m,g){var I=new hr(l,m,g);return this.compileAndRun(I,[l])},p.prototype.multinomial=function(l,m,g,I){var R=m?l:i.softmax(l),z=R.shape[0],L=R.shape[1],G=new Pt(z,L,g),Z=G.getCustomSetupFunc(I);return this.compileAndRun(G,[R],"int32",Z)},p.prototype.oneHot=function(l,m,g,I){var R=new Ut(l.size,m,g,I);return this.compileAndRun(R,[l])},p.prototype.diag=function(l){var m=new _o(l.size);return this.compileAndRun(m,[l])},p.prototype.cropAndResize=function(l,m,g,I,R,z){var L=new zs(l.shape,m.shape,I,R,z);return this.compileAndRun(L,[l,m,g],"float32")},p.prototype.depthToSpace=function(l,m,g){i.util.assert(m>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+m});var I=l.shape[0],R=g==="NHWC"?l.shape[1]:l.shape[2],z=g==="NHWC"?l.shape[2]:l.shape[3],L=g==="NHWC"?l.shape[3]:l.shape[1],G=R*m,Z=z*m,be=L/(m*m),Ce=g==="NHWC"?[I,G,Z,be]:[I,be,G,Z],De=new Jo(Ce,m,g);return this.compileAndRun(De,[l])},p.prototype.split=function(l,m,g){return xl(l,m,g)},p.prototype.scatterND=function(l,m,g){var I=i.backend_util.calculateShapes(m,l,g),R=I.sliceRank,z=I.numUpdates,L=I.sliceSize,G=I.strides,Z=I.outputSize,be=[Z/L,L],Ce=l.reshape([z,R]),De=m.reshape([z,L]);if(Z===0)return i.backend_util.reshapeTensor(i.tensor([]),g);var Te=i.scalar(0),Ge=new an(z,R,Ce.rank,De.rank,G,be),Ze=this.compileAndRun(Ge,[De,Ce,Te]);return Ze.reshape(g)},p.prototype.sparseToDense=function(l,m,g,I){var R=i.backend_util.calculateShapes(m,l,g),z=R.sliceRank,L=R.numUpdates,G=R.strides,Z=R.outputSize,be=!1,Ce=new an(L,z,l.rank,m.rank,G,[Z,1],be),De=this.compileAndRun(Ce,[m,l,I]);return De.reshape(g)},p.prototype.gatherND=function(l,m){var g=m.shape,I=g[g.length-1],R=i.backend_util.prepareAndValidate(l,m),z=R[0],L=R[1],G=R[2],Z=R[3],be=m.reshape([L,I]),Ce=l.reshape([l.size/G,G]),De=new ou(I,Z,[L,G]),Te=this.compileAndRun(De,[Ce,be]);return Te.reshape(z)},p.prototype.fill=function(l,m,g){if(g=g||i.util.inferDtype(m),g==="string"){var I=i.util.getArrayFromDType(g,i.util.sizeFromShape(l));return I.fill(m),i.engine().makeTensor(I,l,g,this)}else{var R=new $o(l,m),z=R.getCustomSetupFunc(m);return this.compileAndRun(R,[],g,z)}},p.prototype.onesLike=function(l){if(l.dtype==="string")throw new Error("onesLike is not supported under string dtype");return this.fill(l.shape,1,l.dtype)},p.prototype.zerosLike=function(l){return this.fill(l.shape,l.dtype==="string"?"":0,l.dtype)},p.prototype.linspace=function(l,m,g){return i.backend_util.linspaceImpl(l,m,g)},p.prototype.makeTensorInfo=function(l,m,g){var I=this.write(g,l,m);return this.texData.get(I).usage=null,{dataId:I,shape:l,dtype:m}},p.prototype.makeOutput=function(l,m,g){var I=this.makeTensorInfo(l,m,g).dataId;return i.engine().makeTensorFromDataId(I,l,m,this)},p.prototype.unpackTensor=function(l){var m=new Vo(l.shape);return this.runWebGLProgram(m,[l],l.dtype)},p.prototype.packTensor=function(l){var m=new Nt(l.shape),g=!0;return this.runWebGLProgram(m,[l],l.dtype,null,g)},p.prototype.packedReshape=function(l,m){var g=[Ua(l.shape)].concat(ga(l.shape)),I={dtype:l.dtype,shape:g,dataId:l.dataId},R=[Ua(m)].concat(ga(m)),z=new rr(R,g),L=!0,G=this.runWebGLProgram(z,[I],l.dtype,null,L);return{dataId:G.dataId,shape:m,dtype:G.dtype}},p.prototype.decode=function(l){var m=this.texData.get(l),g=m.isPacked,I=m.shape,R=m.dtype,z=wi(I),L;g?L=new Ps(z):L=new Fo(z);var G=!0,Z=this.runWebGLProgram(L,[{shape:z,dtype:R,dataId:l}],R,null,G);return{dtype:R,shape:I,dataId:Z.dataId}},p.prototype.runWebGLProgram=function(l,m,g,I,R){var z=this;R===void 0&&(R=!1);var L=this.makeTensorInfo(l.outputShape,g),G=this.texData.get(L.dataId);if(l.packedOutput&&(G.isPacked=!0),l.outPackingScheme===ae.DENSE){var Z=nt(l.outputShape);G.texShape=Z.map(function(r){return r*2})}if(l.outTexUsage!=null&&(G.usage=l.outTexUsage),i.util.sizeFromShape(L.shape)===0)return G.values=i.util.getTypedArrayFromDType(L.dtype,0),L;var be=[],Ce=m.map(function(r){if(r.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var o=z.texData.get(r.dataId);if(o.texture==null){if(!l.packedInputs&&i.util.sizeFromShape(r.shape)<=i.env().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:r.shape,texData:null,isUniform:!0,uniformValues:o.values};l.packedInputs&&(o.isPacked=!0,o.shape=r.shape)}else if(!!o.isPacked!==!!l.packedInputs)r=o.isPacked?z.unpackTensor(r):z.packTensor(r),be.push(r),o=z.texData.get(r.dataId);else if(o.isPacked&&!_n(o.shape,r.shape)){var h=r,b=r.shape;r.shape=o.shape,r=z.packedReshape(r,b),be.push(r),o=z.texData.get(r.dataId),h.shape=b}return z.uploadToGPU(r.dataId),{shape:r.shape,texData:o,isUniform:!1}});this.uploadToGPU(L.dataId);var De={shape:L.shape,texData:G,isUniform:!1},Te=at(l,Ce,De),Ge=this.getAndSaveBinary(Te,function(){return Ve(z.gpgpu,l,Ce,De)}),Ze=this.activeTimers!=null,s;if(Ze&&(s=this.startTimer()),rt(this.gpgpu,Ge,Ce,De,I),be.forEach(function(r){return z.disposeIntermediateTensorInfo(r)}),Ze&&(s=this.endTimer(s),this.activeTimers.push({name:l.constructor.name,query:this.getQueryTime(s)})),!i.env().getBool("WEBGL_LAZILY_UNPACK")&&G.isPacked&&R===!1){var u=this.unpackTensor(L);return this.disposeIntermediateTensorInfo(L),u}return L},p.prototype.compileAndRun=function(l,m,g,I,R){R===void 0&&(R=!1),g=g||m[0].dtype;var z=this.runWebGLProgram(l,m,g,I,R);return i.engine().makeTensorFromDataId(z.dataId,z.shape,z.dtype)},p.prototype.getAndSaveBinary=function(l,m){return l in this.binaryCache||(this.binaryCache[l]=m()),this.binaryCache[l]},p.prototype.getTextureManager=function(){return this.textureManager},p.prototype.dispose=function(){var l=this;if(this.disposed)return;if(!i.env().getBool("IS_TEST")){var m=Object.keys(this.binaryCache);m.forEach(function(g){l.gpgpu.deleteProgram(l.binaryCache[g].webGLProgram),delete l.binaryCache[g]})}this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0},p.prototype.floatPrecision=function(){var l=this;return this.floatPrecisionValue==null&&(this.floatPrecisionValue=i.tidy(function(){if(!i.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var m=i.env().getBool("DEBUG");i.env().set("DEBUG",!1);var g=l.abs(i.scalar(1e-8)).dataSync()[0];if(i.env().set("DEBUG",m),g>0)return 32}return 16})),this.floatPrecisionValue},p.prototype.epsilon=function(){return this.floatPrecision()===32?xc:Qi},p.prototype.uploadToGPU=function(l){var m,g=this.texData.get(l),I=g.shape,R=g.dtype,z=g.values,L=g.texture,G=g.usage,Z=g.isPacked;if(L!=null)return;var be=this.activeTimers!=null,Ce;be&&(Ce=i.util.now());var De=g.texShape;if(De==null&&(De=Ta(I,Z),g.texShape=De),z!=null){var Te=wi(I),Ge=void 0,Ze=De[1],s=De[0],u=z instanceof Uint8Array;Z?(m=tt(De[0],De[1]),Ze=m[0],s=m[1],Ge=new vs(Te,[s,Ze],u)):Ge=new Ws(Te,[s,Ze],u);var r=this.makeTensorInfo([s,Ze],R);u?this.texData.get(r.dataId).usage=w.PIXELS:this.texData.get(r.dataId).usage=w.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(r.dataId),Ze,s,z);var o=!0,h=this.runWebGLProgram(Ge,[r],R,null,o),b=this.texData.get(h.dataId);g.texture=b.texture,g.texShape=b.texShape,g.isPacked=b.isPacked,g.usage=b.usage,this.disposeIntermediateTensorInfo(r),this.texData.delete(h.dataId),g.values=null,be&&(this.uploadWaitMs+=i.util.now()-Ce)}else{var T=this.acquireTexture(De,G,R,Z);g.texture=T}},p.prototype.convertAndCacheOnCPU=function(l,m){var g=this.texData.get(l),I=g.dtype;return this.releaseGPUData(l),m!=null&&(g.values=wc(m,I)),g.values},p.prototype.acquireTexture=function(l,m,g,I){if(this.numBytesInGPU+=this.computeBytes(l,g),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){var R=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+R+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(l,m,I)},p.prototype.computeBytes=function(l,m){return l[0]*l[1]*i.util.bytesPerElement(m)},p.prototype.tryRunOnCpuOrThrow=function(l,m){if(this.shouldExecuteOnCPU(l))try{return m()}catch(g){if(i.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},p}(i.KernelBackend);function wc(f,p){if(p==="float32"||p==="complex64")return f;if(p==="int32"||p==="bool"){for(var l=p==="int32"?new Int32Array(f.length):new Uint8Array(f.length),m=0;m<l.length;++m)l[m]=Math.round(f[m]);return l}else throw new Error("Unknown dtype "+p)}var Ou="2.7.0";function Hs(){i.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}i.device_util.isBrowser()&&i.registerBackend("webgl",function(){return new Go},2);var bc={forceHalfFloat:Hs};function lo(f){var p=f.inputs,l=f.backend,m=p.x;return l.incRef(m.dataId),{dataId:m.dataId,shape:m.shape,dtype:m.dtype}}var kc={kernelName:i.Identity,backendName:"webgl",kernelFunc:lo};function ho(f){var p=f.inputs,l=f.backend,m=p.real,g=p.imag,I=l.makeTensorInfo(m.shape,"complex64"),R=l.texData.get(I.dataId),z=lo({inputs:{x:m},backend:l}),L=l.texData.get(z.dataId);L.complexParentRefCount++;var G=lo({inputs:{x:g},backend:l}),Z=l.texData.get(G.dataId);return Z.complexParentRefCount++,R.complexTensorInfos={real:z,imag:G},I}var Sc={kernelName:i.Complex,backendName:"webgl",kernelFunc:ho},pu="if (isnan(x)) return x;",Ic=`
  if (isnan(a)) return a;
  if (isnan(b)) return b;
`,Mu=`
  result.r = isNaN.r > 0. ? NAN : result.r;
  result.g = isNaN.g > 0. ? NAN : result.g;
  result.b = isNaN.b > 0. ? NAN : result.b;
  result.a = isNaN.a > 0. ? NAN : result.a;
`;function Gs(f){return function(p){var l=p.inputs,m=p.backend,g=l.x,I=m,R=new Or(g.shape,f);return I.runWebGLProgram(R,[g],g.dtype)}}function po(f){var p=f.opSnippet,l=f.packedOpSnippet,m=f.checkOutOfBounds,g=m===void 0?!1:m,I=f.supportsComplex,R=I===void 0?!1:I,z=f.cpuKernelImpl,L=f.dtype;return function(G){var Z=G.inputs,be=G.backend,Ce=Z,De=Ce.a,Te=Ce.b,Ge=be;if(R&&De.dtype==="complex64"){var Ze=Ge.texData.get(De.dataId),s=Ge.texData.get(Te.dataId),u=[[Ze.complexTensorInfos.real,s.complexTensorInfos.real],[Ze.complexTensorInfos.imag,s.complexTensorInfos.imag]].map(function(je){var qe=je[0],mt=je[1],pt={dataId:qe.dataId,dtype:qe.dtype,shape:De.shape},st={dataId:mt.dataId,dtype:mt.dtype,shape:Te.shape},dt=new vn(p,De.shape,Te.shape);return Ge.runWebGLProgram(dt,[pt,st],i.upcastType(qe.dtype,mt.dtype))}),r=u[0],o=u[1],h=ho({inputs:{real:r,imag:o},backend:Ge});return Ge.disposeIntermediateTensorInfo(r),Ge.disposeIntermediateTensorInfo(o),h}var b=L||i.upcastType(De.dtype,Te.dtype);if(Ge.shouldExecuteOnCPU([De,Te])&&z!=null){var Ze=Ge.texData.get(De.dataId),s=Ge.texData.get(Te.dataId),T=z(De.shape,Te.shape,Ze.values,s.values,b),M=T[0],q=T[1],Y=Ge.makeTensorInfo(q,b),le=Ge.texData.get(Y.dataId);return le.values=M,Y}var Ne=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&l!=null,We;return Ne?We=new vi(l,De.shape,Te.shape,g):We=new vn(p,De.shape,Te.shape),Ge.runWebGLProgram(We,[De,Te],b)}}var Lu="return a + b;",_l=po({opSnippet:Lu,packedOpSnippet:Lu,supportsComplex:!0,cpuKernelImpl:$e}),zu={kernelName:i.Add,backendName:"webgl",kernelFunc:_l},Pu=Ic+`
  return atan(a, b);
`,du=`
  vec4 result = atan(a, b);
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Mu+`
  return result;
`,wl=po({opSnippet:Pu,packedOpSnippet:du}),fu={kernelName:i.Atan2,backendName:"webgl",kernelFunc:wl};function mu(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x;ln(g,"avgPool");var I=m.filterSize,R=m.strides,z=m.pad,L=m.dimRoundingMode,G=1;i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(R,G),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+R+" and dilations '"+G+"'")});var Z=i.backend_util.computePool2DInfo(g.shape,I,R,G,z,L);if(Z.filterWidth===1&&Z.filterHeight===1&&i.util.arraysEqual(Z.inShape,Z.outShape))return lo({inputs:{x:g},backend:l});var be=new Vt(Z,"avg",!1);return l.runWebGLProgram(be,[g],"float32")}var Nc={kernelName:i.AvgPool,backendName:"webgl",kernelFunc:mu};function Cc(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.dy,I=p.input,R=I;ln([g,I],"avgPoolBackprop");var z=m.filterSize,L=m.strides,G=m.pad,Z=i.backend_util.computePool2DInfo(R.shape,z,L,1,G),be=new oi(Z);return l.runWebGLProgram(be,[g],R.dtype)}var Tc={kernelName:i.AvgPoolBackprop,backendName:"webgl",kernelFunc:Cc},Ec=function(){function f(p,l,m,g,I,R){this.outputShape=[],this.variableNames=["x","mean","variance"],i.backend_util.assertAndGetBroadcastShape(p,l),i.backend_util.assertAndGetBroadcastShape(p,m);var z="0.0";g!=null&&(i.backend_util.assertAndGetBroadcastShape(p,g),this.variableNames.push("offset"),z="getOffsetAtOutCoords()");var L="1.0";I!=null&&(i.backend_util.assertAndGetBroadcastShape(p,I),this.variableNames.push("scale"),L="getScaleAtOutCoords()"),this.outputShape=p,this.userCode=`
      void main() {
        float x = getXAtOutCoords();
        float mean = getMeanAtOutCoords();
        float variance = getVarianceAtOutCoords();
        float offset = `+z+`;
        float scale = `+L+`;
        float inv = scale * inversesqrt(variance + float(`+R+`));
        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
      }
    `}return f}(),Ke=function(){function f(p,l,m,g,I,R){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],i.backend_util.assertAndGetBroadcastShape(p,l),i.backend_util.assertAndGetBroadcastShape(p,m);var z="vec4(0.0)";g!=null&&(i.backend_util.assertAndGetBroadcastShape(p,g),this.variableNames.push("offset"),z="getOffsetAtOutCoords()");var L="vec4(1.0)";I!=null&&(i.backend_util.assertAndGetBroadcastShape(p,I),this.variableNames.push("scale"),L="getScaleAtOutCoords()"),this.outputShape=p,this.userCode=`
      void main() {
        vec4 offset = `+z+`;
        vec4 scale = `+L+`;

        vec4 x = getXAtOutCoords();
        vec4 mean = getMeanAtOutCoords();
        vec4 variance = getVarianceAtOutCoords();

        vec4 inv = scale * inversesqrt(variance + vec4(`+R+`));

        setOutput((x - mean) * inv + offset);
      }
    `}return f}(),Rc=function(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x,I=p.mean,R=p.variance,z=p.offset,L=p.scale;i.util.assert(I.shape.length===R.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),i.util.assert(z==null||I.shape.length===z.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),i.util.assert(L==null||I.shape.length===L.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var G=m.varianceEpsilon;G==null&&(G=.001);var Z=[g,I,R],be=null;z!=null&&(be=z.shape,Z.push(z));var Ce=null;L!=null&&(Ce=L.shape,Z.push(L));var De=i.env().getBool("WEBGL_PACK_NORMALIZATION")?new Ke(g.shape,I.shape,R.shape,be,Ce,G):new Ec(g.shape,I.shape,R.shape,be,Ce,G),Te=l.runWebGLProgram(De,Z,Z[0].dtype);return Te},un={kernelName:i.FusedBatchNorm,backendName:"webgl",kernelFunc:Rc},Ac="return float(a != b);",Ss=po({opSnippet:Ac,dtype:"bool"}),Dc={kernelName:i.NotEqual,backendName:"webgl",kernelFunc:Ss};function $n(f){var p=f.inputs,l=f.backend,m=p.input,g=l.texData.get(m.dataId);return lo({inputs:{x:g.complexTensorInfos.real},backend:l})}var Fc={kernelName:i.Real,backendName:"webgl",kernelFunc:$n},Oc="return float(int(x));";function Mc(f,p){var l=new Or(f.shape,Oc),m=p.runWebGLProgram(l,[f],"int32");return{dataId:m.dataId,shape:m.shape,dtype:m.dtype}}function js(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x,I=m.dtype;if(I==="complex64"){if(g.dtype==="complex64")return lo({inputs:{x:g},backend:l});var R=i.zeros(g.shape),z=js({inputs:{x:g},backend:l,attrs:{dtype:"float32"}}),L=ho({inputs:{real:z,imag:R},backend:l});return R.dispose(),l.disposeIntermediateTensorInfo(z),L}if(g.dtype==="complex64"){var G=$n({inputs:{input:g},backend:l}),L=js({inputs:{x:G},backend:l,attrs:{dtype:I}});return l.disposeIntermediateTensorInfo(G),L}if(!i.util.hasEncodingLoss(g.dtype,I)){var L=lo({inputs:{x:g},backend:l});return{dataId:L.dataId,shape:L.shape,dtype:I}}if(I==="int32")return Mc(g,l);if(I==="bool"){var Z=l.makeTensorInfo([],"bool",i.util.getTypedArrayFromDType("bool",1)),be={a:g,b:Z},L=Ss({inputs:be,backend:l});return l.disposeIntermediateTensorInfo(Z),L}throw new Error("Error in Cast: failed to cast "+g.dtype+" to "+I)}var is={kernelName:i.Cast,backendName:"webgl",kernelFunc:js},Lc=function(){function f(p){this.outputShape=[],this.outputShape=i.backend_util.computeOutShape(p,1),this.variableNames=p.map(function(L,G){return"T"+G});var l=new Array(p.length-1);l[0]=p[0][1];for(var m=1;m<l.length;m++)l[m]=l[m-1]+p[m][1];for(var g=["if (yC < "+l[0]+") setOutput(getT0(yR, yC));"],m=1;m<l.length;m++){var I=l[m-1];g.push("else if (yC < "+l[m]+") "+("setOutput(getT"+m+"(yR, yC-"+I+"));"))}var R=l.length,z=l[l.length-1];g.push("else setOutput(getT"+R+"(yR, yC-"+z+"));"),this.userCode=`
      void main() {
        ivec2 coords = getOutputCoords();
        int yR = coords.x;
        int yC = coords.y;

        `+g.join(`
        `)+`
      }
    `}return f}(),zc=function(){function f(p,l){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=i.backend_util.computeOutShape(p,l);var m=this.outputShape,g=m.length,I=nn(g),R=Vr("coords",g),z=["x","y","z","w","u","v"].slice(0,g);this.variableNames=p.map(function(s,u){return"T"+u});var L=new Array(p.length-1);L[0]=p[0][l];for(var G=1;G<L.length;G++)L[G]=L[G-1]+p[G][l];for(var Z=z[l],be=z.slice(-2),Ce=z.join(),De="if ("+Z+" < "+L[0]+`) {
        return getChannel(
            getT0(`+Ce+"), vec2("+be.join()+`));
        }`,G=1;G<L.length;G++){var Te=L[G-1];De+=`
        if (`+Z+" < "+L[G]+"  && "+Z+" >= "+L[G-1]+`) {
          return getChannel(
            getT`+G+"("+yu(z,Z,Te)+`),
            vec2(`+yu(be,Z,Te)+`));
        }`}var Ge=L.length,Ze=L[L.length-1];De+=`
        return getChannel(
          getT`+Ge+"("+yu(z,Z,Ze)+`),
          vec2(`+yu(be,Z,Ze)+"));",this.userCode=`
      float getValue(`+z.map(function(s){return"int "+s})+`) {
        `+De+`
      }

      void main() {
        `+I+` coords = getOutputCoords();
        vec4 result = vec4(getValue(`+R+`), 0., 0., 0.);

        `+R[g-1]+" = "+R[g-1]+` + 1;
        if (`+R[g-1]+" < "+m[g-1]+`) {
          result.g = getValue(`+R+`);
        }

        `+R[g-2]+" = "+R[g-2]+` + 1;
        if (`+R[g-2]+" < "+m[g-2]+`) {
          result.a = getValue(`+R+`);
        }

        `+R[g-1]+" = "+R[g-1]+` - 1;
        if (`+R[g-2]+" < "+m[g-2]+` &&
            `+R[g-1]+" < "+m[g-1]+`) {
          result.b = getValue(`+R+`);
        }
        setOutput(result);
      }
    `}return f}();function yu(f,p,l){var m=f.indexOf(p),g=f.map(function(I,R){return R===m?I+" - "+l:I});return g.join()}function Pc(f){var p=f.inputs,l=f.backend,m=p.input,g=l.texData.get(m.dataId);return lo({inputs:{x:g.complexTensorInfos.imag},backend:l})}var Bu={kernelName:i.Imag,backendName:"webgl",kernelFunc:Pc};function bl(f,p,l){var m=[Ua(f.shape)].concat(ga(f.shape)),g={dtype:f.dtype,shape:m,dataId:f.dataId},I=[Ua(p)].concat(ga(p)),R=new rr(I,m),z=!0,L=l.runWebGLProgram(R,[g],f.dtype,null,z);return{dataId:L.dataId,shape:p,dtype:L.dtype}}function Zi(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x,I=m.shape,R=l,z=i.util.sizeFromShape(g.shape),L=i.util.inferFromImplicitShape(I,z),G=i.util.sizeFromShape(L);i.util.assert(z===G,function(){return"The new shape ("+L+") has "+G+" elements and the old "+("shape ("+g.shape+") has "+z+" elements. The new shape and old ")+"shape must have the same number of elements."});var Z=R.texData.get(g.dataId);return Z.isPacked&&!_n(g.shape,L)&&!(Z.texture!==null&&_n(Z.shape,L))?bl(g,L,R):(R.incRef(g.dataId),{dataId:g.dataId,shape:L,dtype:g.dtype})}var Wu={kernelName:i.Reshape,backendName:"webgl",kernelFunc:Zi};function os(f,p,l){var m=f[0].dtype;if(m==="complex64"){var g=f.map(function(r){return $n({inputs:{input:r},backend:l})}),I=f.map(function(r){return Pc({inputs:{input:r},backend:l})}),R=os(g,p,l),z=os(I,p,l),L=ho({inputs:{real:R,imag:z},backend:l});return g.forEach(function(r){return l.disposeIntermediateTensorInfo(r)}),I.forEach(function(r){return l.disposeIntermediateTensorInfo(r)}),l.disposeIntermediateTensorInfo(R),l.disposeIntermediateTensorInfo(z),L}if(f.length>i.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var G=Math.floor(f.length/2),Z=os(f.slice(0,G),p,l),be=os(f.slice(G),p,l),Ce=os([Z,be],p,l);return l.disposeIntermediateTensorInfo(Z),l.disposeIntermediateTensorInfo(be),Ce}if(i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&f[0].shape.length>1){var De=new zc(f.map(function(r){return r.shape}),p);return l.runWebGLProgram(De,f,m)}var Te=i.backend_util.computeOutShape(f.map(function(r){return r.shape}),p),Ge=f.map(function(r){return Zi({inputs:{x:r},attrs:{shape:[-1,i.util.sizeFromShape(r.shape.slice(p))]},backend:l})}),Ze=new Lc(Ge.map(function(r){return r.shape})),s=l.runWebGLProgram(Ze,Ge,m);Ge.forEach(function(r){return l.disposeIntermediateTensorInfo(r)});var u=Zi({inputs:{x:s},attrs:{shape:Te},backend:l});return l.disposeIntermediateTensorInfo(s),u}function kl(f){var p=f.inputs,l=f.backend,m=f.attrs,g=m.axis,I=i.util.parseAxisParam(g,p[0].shape)[0],R=i.backend_util.computeOutShape(p.map(function(G){return G.shape}),I);if(i.util.sizeFromShape(R)===0)return l.makeTensorInfo(R,p[0].dtype,[]);var z=p.filter(function(G){return i.util.sizeFromShape(G.shape)>0});if(z.length===1)return z[0];var L=z.map(function(G){return G.shape});return i.backend_util.assertParamsConsistent(L,I),os(z,I,l)}var Bc={kernelName:i.Concat,backendName:"webgl",kernelFunc:kl},vu=pu+`
  return cos(x);
`,Wc=Gs(vu),Uc={kernelName:i.Cos,backendName:"webgl",kernelFunc:Wc},Vc=`
if (a == b) {
  return 1.0;
};
return a / b;`,Hc=`
  // vec4 one = vec4(equal(a, b));
  // return one + (vec4(1.0) - one) * a / b;
  vec4 result = a / b;
  if(a.x == b.x) {
    result.x = 1.;
  }
  if(a.y == b.y) {
    result.y = 1.;
  }
  if(a.z == b.z) {
    result.z = 1.;
  }
  if(a.w == b.w) {
    result.w = 1.;
  }

  return result;
`,Gc=po({opSnippet:Vc,packedOpSnippet:Hc,checkOutOfBounds:!0}),jc={kernelName:i.Div,backendName:"webgl",kernelFunc:Gc},Uu=function(){function f(p,l,m){this.variableNames=["real","imag"];var g=l[1];this.outputShape=l;var I=m?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,R=m?g+".0":"1.0",z;if(p==="real")z="return real * expR - imag * expI;";else if(p==="imag")z="return real * expI + imag * expR;";else throw new Error('FFT component must be either "real" or "imag", got '+p+".");this.userCode=`
      const float exponentMultiplier = `+I+`;

      float unaryOpComplex(float real, float expR, float imag, float expI) {
        `+z+`
      }

      float mulMatDFT(int batch, int index) {
        float indexRatio = float(index) / float(`+g+`);
        float exponentMultiplierTimesIndexRatio =
            exponentMultiplier * indexRatio;

        float result = 0.0;

        for (int i = 0; i < `+g+`; i++) {
          // x = (-2|2 * PI / N) * index * i;
          float x = exponentMultiplierTimesIndexRatio * float(i);
          float expR = cos(x);
          float expI = sin(x);
          float real = getReal(batch, i);
          float imag = getImag(batch, i);

          result +=
              unaryOpComplex(real, expR, imag, expI) / `+R+`;
        }

        return result;
      }

      void main() {
        ivec2 coords = getOutputCoords();
        setOutput(mulMatDFT(coords[0], coords[1]));
      }
    `}return f}();function Vu(f,p,l){var m=l.texData.get(f.dataId),g=i.util.sizeFromShape(f.shape),I=f.shape[f.shape.length-1],R=g/I,z=Zi({inputs:{x:f},backend:l,attrs:{shape:[R,I]}}),L=z.shape,G=new Uu("real",L,p),Z=new Uu("imag",L,p),be=[{dataId:m.complexTensorInfos.real.dataId,dtype:m.complexTensorInfos.real.dtype,shape:L},{dataId:m.complexTensorInfos.imag.dataId,dtype:m.complexTensorInfos.imag.dtype,shape:L}],Ce=l.runWebGLProgram(G,be,"float32"),De=l.runWebGLProgram(Z,be,"float32"),Te=ho({inputs:{real:Ce,imag:De},backend:l});l.disposeIntermediateTensorInfo(Ce),l.disposeIntermediateTensorInfo(De);var Ge=Zi({inputs:{x:Te},backend:l,attrs:{shape:f.shape}});return l.disposeIntermediateTensorInfo(Ge),Ge}function qc(f){var p=f.inputs,l=f.backend,m=p.input;return Vu(m,!1,l)}var Kc={kernelName:i.FFT,backendName:"webgl",kernelFunc:qc},Sl=function(){function f(p){this.variableNames=["Image"],this.outputShape=[];var l=p[2];this.outputShape=p,this.userCode=`
        void main() {
          ivec4 coords = getOutputCoords();
          int x = coords[2];

          int coordX = `+l+` - x;
          float outputValue;
          if(coordX >= 0 && coordX < `+l+`) {
            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
          } else {
            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
          }
          setOutput(outputValue);
        }
    `}return f}(),Il={kernelName:i.FlipLeftRight,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.backend,m=p.image,g=l,I=new Sl(m.shape),R=g.runWebGLProgram(I,[m],m.dtype);return R}},Hu=function(){function f(p){this.variableNames=["A"];var l=tn(),m=p[0],g=p[1];this.outputShape=p,this.userCode=`
      void main() {
        ivec3 coords = getOutputCoords();
        int texR = coords[0];
        int texC = coords[1];
        int depth = coords[2];
        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+g+".0, "+m+`.0);

        vec4 values = `+l.texture2D+`(A, uv);
        float value;
        if (depth == 0) {
          value = values.r;
        } else if (depth == 1) {
          value = values.g;
        } else if (depth == 2) {
          value = values.b;
        } else if (depth == 3) {
          value = values.a;
        }

        setOutput(floor(value * 255.0 + 0.5));
      }
    `}return f}(),Xc=function(){function f(p){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var l=tn(),m=p[0],g=p[1];this.outputShape=p,this.userCode=`
      void main() {
        ivec3 coords = getOutputCoords();
        int texR = coords[0];
        int texC = coords[1];
        int depth = coords[2];

        vec4 result = vec4(0.);

        for(int row=0; row<=1; row++) {
          for(int col=0; col<=1; col++) {
            texC = coords[1] + row;
            depth = coords[2] + col;

            vec2 uv = (vec2(texC, texR) + halfCR) /
                       vec2(`+g+".0, "+m+`.0);
            vec4 values = `+l.texture2D+`(A, uv);
            float value;
            if (depth == 0) {
              value = values.r;
            } else if (depth == 1) {
              value = values.g;
            } else if (depth == 2) {
              value = values.b;
            } else if (depth == 3) {
              value = values.a;
            }

            result[row * 2 + col] = floor(value * 255.0 + 0.5);
          }
        }

        `+l.output+` = result;
      }
    `}return f}(),Yc={kernelName:i.FromPixels,backendName:"webgl",kernelFunc:jo},ss;function jo(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.pixels,I=m.numChannels,R=typeof HTMLVideoElement!="undefined"&&g instanceof HTMLVideoElement,z=typeof HTMLImageElement!="undefined"&&g instanceof HTMLImageElement,L=R?[g.videoWidth,g.videoHeight]:[g.width,g.height],G=L[0],Z=L[1],be=[Z,G],Ce=[Z,G,I];(z||R)&&(ss==null&&(ss=document.createElement("canvas").getContext("2d")),ss.canvas.width=G,ss.canvas.height=Z,ss.drawImage(g,0,0,G,Z),g=ss.canvas);var De=l.makeTensorInfo(be,"int32");l.texData.get(De.dataId).usage=w.PIXELS,l.gpgpu.uploadPixelDataToTexture(l.getTexture(De.dataId),g);var Te=i.env().getBool("WEBGL_PACK")?new Xc(Ce):new Hu(Ce),Ge=l.runWebGLProgram(Te,[De],"int32");return l.disposeData(De.dataId),Ge}function Nl(f){var p=f.inputs,l=f.backend,m=p.input;return Vu(m,!0,l)}var Cl={kernelName:i.IFFT,backendName:"webgl",kernelFunc:Nl},Gu=function(){function f(p,l){this.variableNames=["x"];var m=p.windowSize,g=p.batchSize,I=p.inSize,R=p.outSize;this.outputShape=[g,R];var z=Math.floor(m/4)*4,L=m%4,G="sumValue += dot(values, ones);";if(l!=null){var Z=1/l;G="sumValue += dot(values * "+(i.util.isInt(Z)?Z.toPrecision(2):Z)+", ones);"}var be="";I%m>0&&(be=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return 0.0;
        }
      `),this.userCode=`
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

      float getValue(int batch, int inIdx) {
        `+be+`
        return getX(batch, inIdx);
      }

      void main() {
        ivec2 coords = getOutputCoords();
        int batch = coords[0];
        int outIdx = coords[1];
        int inOffset = outIdx * `+m+`;

        float sumValue = 0.0;

        for (int i = 0; i < `+z+`; i += 4) {
          int inIdx = inOffset + i;
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            getValue(batch, inIdx + 3)
          );

          `+G+`
        }

        int inIdx = inOffset + `+z+`;
        if (`+(L===1)+`) {
          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);

          `+G+`
        } else if (`+(L===2)+`) {
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1), 0.0, 0.0);

          `+G+`
        } else if (`+(L===3)+`) {
          vec4 values = vec4(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2), 0.0);

          `+G+`
        }
        setOutput(sumValue);
      }
    `}return f}();function Tl(f){for(var p=[];p.length===0||p[p.length-1].outSize!==1;){var l=p.length?p[p.length-1].outSize:f[1],m=i.backend_util.computeOptimalWindowSize(l);p.push({inSize:l,windowSize:m,outSize:Math.ceil(l/m)})}return p}function gu(f,p,l,m){for(var g=Tl(f.shape),I=f,R=0;R<g.length;R++){var z=g[R],L=z.inSize,G=z.windowSize,Z=z.outSize,be=void 0,Ce=void 0;l==="mean"?be=R===0?new Gu({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Z},L):new Gu({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Z}):be=new cr({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Z},l),Ce=I,I=m.runWebGLProgram(be,[I],p),Ce.dataId!==f.dataId&&m.disposeIntermediateTensorInfo(Ce)}return I}function ju(f,p,l,m){var g=i.util.sizeFromShape(p),I=i.util.sizeFromShape(f.shape),R=I/g,z=Zi({inputs:{x:f},attrs:{shape:[R,g]},backend:m}),L=gu(z,f.dtype,"max",m),G=Zi({inputs:{x:L},attrs:{shape:l},backend:m});return m.disposeIntermediateTensorInfo(z),m.disposeIntermediateTensorInfo(L),G}var El=function(){function f(p,l){this.variableNames=["A"];for(var m=new Array(p.length),g=0;g<m.length;g++)m[g]=p[l[g]];this.outputShape=m,this.rank=m.length;var I=nn(this.rank),R=Rl(l);this.userCode=`
    void main() {
      `+I+` resRC = getOutputCoords();
      setOutput(getA(`+R+`));
    }
    `}return f}();function Rl(f){var p=f.length;if(p>6)throw Error("Transpose for rank "+p+" is not yet supported");for(var l=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],m=new Array(p),g=0;g<f.length;g++)m[f[g]]=l[g];return m.join()}var Al=function(){function f(p,l){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var m=new Array(p.length),g=0;g<m.length;g++)m[g]=p[l[g]];if(this.outputShape=m,this.rank=m.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var I=nn(this.rank),R=Jr("rc",this.rank),z=new Array(this.rank),g=0;g<l.length;g++)z[l[g]]=R[g];var L="vec2("+z.slice(-2).join()+")",G="++"+R[this.rank-1]+" < "+m[this.rank-1],Z="getChannel(getA("+z.join()+"), "+L+")";this.userCode=`
    void main() {
      `+I+` rc = getOutputCoords();
      vec4 result = vec4(0.);
      result[0] = `+Z+`;
      if(`+G+`) {
        result[1] = `+Z+`;
      }
      --`+R[this.rank-1]+`;
      if(++`+R[this.rank-2]+" < "+m[this.rank-2]+`) {
        result[2] = `+Z+`;
        if(`+G+`) {
          result[3] = `+Z+`;
        }
      }
      setOutput(result);
    }
    `}return f}();function qs(f,p,l){var m=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Al(f.shape,p):new El(f.shape,p);return l.runWebGLProgram(m,[f],f.dtype)}var qu={kernelName:i.Max,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.attrs,m=f.backend,g=p.x,I=l,R=I.reductionIndices,z=I.keepDims,L=m,G=g.shape.length,Z=i.util.parseAxisParam(R,g.shape),be=Z,Ce=i.backend_util.getAxesPermutation(be,G),De=Ce!=null,Te=L.shouldExecuteOnCPU([g]),Ge=g;if(De){if(Te){for(var Ze=L.texData.get(Ge.dataId),s=Ze.values,u=new Array(G),r=0;r<u.length;r++)u[r]=g.shape[Ce[r]];var o=Ha(s,g.shape,g.dtype,Ce,u);Ge=L.makeTensorInfo(u,g.dtype);var h=L.texData.get(Ge.dataId);h.values=o}else Ge=qs(g,Ce,L);be=i.backend_util.getInnerMostAxes(be.length,G)}i.backend_util.assertAxesAreInnerMostDims("max",be,G);var b=i.backend_util.computeOutAndReduceShapes(Ge.shape,be),T=b[0],M=b[1],q=T;z&&(q=i.backend_util.expandShapeToKeepDim(T,Z));var Y;if(Te){var Ze=L.texData.get(Ge.dataId),s=Ze.values,le=dr(s,i.util.sizeFromShape(M),q,g.dtype);Y=L.makeTensorInfo(q,g.dtype);var Ne=L.texData.get(Y.dataId);Ne.values=le}else Y=ju(Ge,M,q,L);return De&&L.disposeIntermediateTensorInfo(Ge),Y}};function Dl(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x;ln(g,"maxPool");var I=m.filterSize,R=m.strides,z=m.pad,L=m.dimRoundingMode,G=1;i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(R,G),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+R+" and dilations '"+G+"'")});var Z=i.backend_util.computePool2DInfo(g.shape,I,R,G,z,L);if(Z.filterWidth===1&&Z.filterHeight===1&&i.util.arraysEqual(Z.inShape,Z.outShape))return lo({inputs:{x:g},backend:l});var be=new Vt(Z,"max",!1);return l.runWebGLProgram(be,[g],g.dtype)}var Fl={kernelName:i.MaxPool,backendName:"webgl",kernelFunc:Dl};function Ku(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.dy,I=p.input,R=p.output,z=I;ln([I,R],"maxPoolBackprop");var L=m.filterSize,G=m.strides,Z=m.pad,be=m.dimRoundingMode,Ce=i.backend_util.computePool2DInfo(z.shape,L,G,1,Z,be),De=!0,Te=new Vt(Ce,"max",De),Ge=l.runWebGLProgram(Te,[z],z.dtype),Ze=new _t(Ce),s=l.runWebGLProgram(Ze,[g,Ge],z.dtype);return l.disposeIntermediateTensorInfo(Ge),s}var Ol={kernelName:i.MaxPoolBackprop,backendName:"webgl",kernelFunc:Ku};function Ml(f,p,l,m){var g=new Vt(l,"max",!1),I=m.runWebGLProgram(g,[f],"float32");g=new Vt(l,"max",!0,!0,p);var R=m.runWebGLProgram(g,[f],"float32");return[I,R]}var Xu={kernelName:i.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.attrs,m=f.backend,g=p.x,I=l,R=I.filterSize,z=I.strides,L=I.pad,G=I.includeBatchInIndex,Z=m;i.util.assert(g.shape.length===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+g.shape.length+"."});var be=[1,1];i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(z,be),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+z+" and dilations '"+be+"'")});var Ce=i.backend_util.computePool2DInfo(g.shape,R,z,be,L),De=Ml(g,G,Ce,Z),Te=De[0],Ge=De[1];return[Te,Ge]}};function Sa(f,p,l,m){var g=i.util.sizeFromShape(p),I=i.util.sizeFromShape(f.shape),R=I/g,z=Zi({inputs:{x:f},attrs:{shape:[R,g]},backend:m}),L=gu(z,"float32","mean",m),G=Zi({inputs:{x:L},attrs:{shape:l},backend:m});return m.disposeIntermediateTensorInfo(z),m.disposeIntermediateTensorInfo(L),G}var Ll={kernelName:i.Mean,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.attrs,m=f.backend,g=p.x,I=l,R=I.keepDims,z=I.axis,L=m,G=g.shape.length,Z=i.util.parseAxisParam(z,g.shape),be=Z,Ce=i.backend_util.getAxesPermutation(be,G),De=Ce!=null,Te=L.shouldExecuteOnCPU([g]),Ge=[],Ze=g;if(De){if(Te){for(var s=L.texData.get(Ze.dataId),u=s.values,r=new Array(G),o=0;o<r.length;o++)r[o]=g.shape[Ce[o]];var h=Ha(u,g.shape,g.dtype,Ce,r);Ze=L.makeTensorInfo(r,g.dtype);var b=L.texData.get(Ze.dataId);b.values=h}else Ze=qs(g,Ce,L);Ge.push(Ze),be=i.backend_util.getInnerMostAxes(be.length,G)}i.backend_util.assertAxesAreInnerMostDims("sum",be,G);var T=i.backend_util.computeOutAndReduceShapes(Ze.shape,be),M=T[0],q=T[1],Y=M;R&&(Y=i.backend_util.expandShapeToKeepDim(M,Z));for(var le=Sa(Ze,q,Y,L),Ne=0,We=Ge;Ne<We.length;Ne++){var o=We[Ne];L.disposeIntermediateTensorInfo(o)}return le}},zl=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=l.map(function(Z,be){return Z[0]+p[be]+Z[1]});var g=p.length,I=nn(g),R=l.map(function(Z){return Z[0]}).join(","),z=l.map(function(Z,be){return Z[0]+p[be]}).join(","),L=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,g),G=m==="reflect"?0:1;if(g===1){this.userCode=`
        int start = `+R+`;
        int end = `+z+`;

        void main() {
          int outC = getOutputCoords();
          if (outC < start) {
            outC = start * 2 - outC - `+G+`;
          } else if(outC >= end) {
            outC = (end - 1) * 2 - outC + `+G+`;
          }
          setOutput(getX(outC - start));
        }
      `;return}this.userCode=`
      `+I+" start = "+I+"("+R+`);
      `+I+" end = "+I+"("+z+`);

      void main() {
        `+I+` outC = getOutputCoords();
        for (int i = 0; i < `+g+`; i++) {
          if (outC[i] < start[i]) {
            outC[i] = start[i] * 2 - outC[i] - `+G+`;
          } else if(outC[i] >= end[i]) {
            outC[i] = (end[i] - 1) * 2 - outC[i] + `+G+`;
          }
        }
        `+I+` coords = outC - start;
        setOutput(getX(`+L+`));
      }
    `}return f}(),Pl=function(){function f(p,l,m){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=l.map(function(Ge,Ze){return Ge[0]+p[Ze]+Ge[1]});var g=p.length,I=nn(g),R=l.map(function(Ge){return Ge[0]}).join(","),z=l.map(function(Ge,Ze){return Ge[0]+p[Ze]}).join(","),L=Vr("rc",g),G=Vr("source",g),Z=L[g-1]+" < "+this.outputShape[g-1],be=g===1?"source":"vec2("+G.slice(-2).join()+")",Ce=m==="reflect"?0:1,De="";if(g===1){var Te=`
        `+I+` source = rc;
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        `+I+` rc = outputLoc;
        `+Te+`
        result[0] = getChannel(getX(`+G.join()+"), "+be+`);
        `+L[g-1]+` += 1;
        if(`+Z+`) {
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          result[1] = getChannel(getX(`+G.join()+"), "+be+`);
        }
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        `+I+` rc = outputLoc;
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          result[1] = getChannel(getX(`+G.join()+"), "+be+`);
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          `+Te+`
          result[2] = getChannel(getX(`+G.join()+"), "+be+`);
          `+L[g-1]+` += 1;
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            result[3] = getChannel(getX(`+G.join()+"), "+be+`);
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      void main() {
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          int y = coords[1];
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          float coordYFloat = (float(x) - `+Ce+") * "+z+" + (float(y) - "+De+") * "+L+`;
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          `+Te+`
          if(coordX >= 0 && coordX < `+R+" && coordY >= 0 && coordY < "+I+`) {
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          }
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        }
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i=to();function ke(Ae,P){const he=[Ae.startPoint[0]*P[0],Ae.startPoint[1]*P[1]],me=[Ae.endPoint[0]*P[0],Ae.endPoint[1]*P[1]];return{startPoint:he,endPoint:me}}N.scaleBoxCoordinates=ke;function O(Ae){return[Math.abs(Ae.endPoint[0]-Ae.startPoint[0]),Math.abs(Ae.endPoint[1]-Ae.startPoint[1])]}N.getBoxSize=O;function H(Ae){return[Ae.startPoint[0]+(Ae.endPoint[0]-Ae.startPoint[0])/2,Ae.startPoint[1]+(Ae.endPoint[1]-Ae.startPoint[1])/2]}N.getBoxCenter=H;function se(Ae,P,he){const me=P.shape[1],ae=P.shape[2],w=[[Ae.startPoint[1]/me,Ae.startPoint[0]/ae,Ae.endPoint[1]/me,Ae.endPoint[0]/ae]];return i.image.cropAndResize(P,w,[0],he)}N.cutBoxFromImageAndResize=se;function xe(Ae,P=1.5){const he=H(Ae),me=O(Ae),ae=[P*me[0]/2,P*me[1]/2],w=[he[0]-ae[0],he[1]-ae[1]],ge=[he[0]+ae[0],he[1]+ae[1]];return{startPoint:w,endPoint:ge,landmarks:Ae.landmarks}}N.enlargeBox=xe;function Q(Ae){const P=H(Ae),he=O(Ae),me=Math.max(...he),ae=me/2,w=[P[0]-ae,P[1]-ae],ge=[P[0]+ae,P[1]+ae];return{startPoint:w,endPoint:ge,landmarks:Ae.landmarks}}N.squarifyBox=Q}),bg=Mr(N=>{N.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function i(ae){return ae-2*Math.PI*Math.floor((ae+Math.PI)/(2*Math.PI))}N.normalizeRadians=i;function ke(ae,w){const ge=Math.PI/2-Math.atan2(-(w[1]-ae[1]),w[0]-ae[0]);return i(ge)}N.computeRotation=ke;function O(ae){return ae*180/Math.PI}N.radToDegrees=O;function H(ae,w){return[[1,0,ae],[0,1,w],[0,0,1]]}function se(ae,w){let ge=0;for(let ze=0;ze<ae.length;ze++)ge+=ae[ze]*w[ze];return ge}N.dot=se;function xe(ae,w){const ge=[];for(let ze=0;ze<ae.length;ze++)ge.push(ae[ze][w]);return ge}N.getColumnFrom2DArr=xe;function Q(ae,w){const ge=[],ze=ae.length;for(let W=0;W<ze;W++){ge.push([]);for(let nt=0;nt<ze;nt++)ge[W].push(se(ae[W],xe(w,nt)))}return ge}function Ae(ae,w){const ge=Math.cos(ae),ze=Math.sin(ae),W=[[ge,-ze,0],[ze,ge,0],[0,0,1]],nt=H(w[0],w[1]),tt=Q(nt,W),nr=H(-w[0],-w[1]);return Q(tt,nr)}N.buildRotationMatrix=Ae;function P(ae){const w=[[ae[0][0],ae[1][0]],[ae[0][1],ae[1][1]]],ge=[ae[0][2],ae[1][2]],ze=[-se(w[0],ge),-se(w[1],ge)];return[w[0].concat(ze[0]),w[1].concat(ze[1]),[0,0,1]]}N.invertTransformMatrix=P;function he(ae,w){return[se(ae,w[0]),se(ae,w[1])]}N.rotatePoint=he;function me(ae,w){return Math.sqrt((ae[0]-w[0])**2+(ae[1]-w[1])**2)}N.xyDistanceBetweenPoints=me}),kg=Mr(N=>{const i=to(),ke=wg(),O=df(),H=bg(),se=468,xe=.25,Q=13,Ae=[Q,O.MESH_ANNOTATIONS.midwayBetweenEyes[0]],P=3,he=2,me=[P,he],ae=O.MESH_ANNOTATIONS.leftEyeLower0,w=[ae[0],ae[ae.length-1]],ge=O.MESH_ANNOTATIONS.rightEyeLower0,ze=[ge[0],ge[ge.length-1]],W=3,nt=4,tt=71,nr=76;function Tt(it,xt,ot,ht){for(let ut=0;ut<O.MESH_TO_IRIS_INDICES_MAP.length;ut++){const{key:yt,indices:Zt}=O.MESH_TO_IRIS_INDICES_MAP[ut],ar=O.MESH_ANNOTATIONS[`${ot}${yt}`],qt=ht==null;if(qt||ht.includes(yt))for(let Ur=0;Ur<Zt.length;Ur++){const jr=Zt[Ur];it[ar[Ur]]=[xt[jr][0],xt[jr][1],(xt[jr][2]+it[ar[Ur]][2])/2]}}}class Qe{constructor(it,xt,ot,ht){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=it,this.meshDetector=xt,this.irisModel=ot,this.meshWidth=ht.mesh.inputSize,this.meshHeight=ht.mesh.inputSize,this.irisSize=ht.iris.inputSize,this.irisEnlarge=ht.iris.enlargeFactor}transformRawCoords(it,xt,ot,ht){const ut=ke.getBoxSize({startPoint:xt.startPoint,endPoint:xt.endPoint}),yt=[ut[0]/this.meshWidth,ut[1]/this.meshHeight],Zt=it.map(tr=>[yt[0]*(tr[0]-this.meshWidth/2),yt[1]*(tr[1]-this.meshHeight/2),tr[2]]),ar=H.buildRotationMatrix(ot,[0,0]),qt=Zt.map(tr=>[...H.rotatePoint(tr,ar),tr[2]]),Ur=H.invertTransformMatrix(ht),jr=[...ke.getBoxCenter({startPoint:xt.startPoint,endPoint:xt.endPoint}),1],_r=[H.dot(jr,Ur[0]),H.dot(jr,Ur[1])];return qt.map(tr=>[tr[0]+_r[0],tr[1]+_r[1],tr[2]])}getLeftToRightEyeDepthDifference(it){const xt=it[w[0]][2],ot=it[ze[0]][2];return xt-ot}getEyeBox(it,xt,ot,ht,ut=!1){const yt=ke.squarifyBox(ke.enlargeBox(this.calculateLandmarksBoundingBox([it[ot],it[ht]]),this.irisEnlarge)),Zt=ke.getBoxSize(yt);let ar=i.image.cropAndResize(xt,[[yt.startPoint[1]/this.meshHeight,yt.startPoint[0]/this.meshWidth,yt.endPoint[1]/this.meshHeight,yt.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return ut&&(ar=i.image.flipLeftRight(ar)),{box:yt,boxSize:Zt,crop:ar}}getEyeCoords(it,xt,ot,ht=!1){const ut=[];for(let yt=0;yt<nr;yt++){const Zt=it[yt*3],ar=it[yt*3+1],qt=it[yt*3+2];ut.push([(ht?1-Zt/this.irisSize:Zt/this.irisSize)*ot[0]+xt.startPoint[0],ar/this.irisSize*ot[1]+xt.startPoint[1],qt])}return{rawCoords:ut,iris:ut.slice(tt)}}getAdjustedIrisCoords(it,xt,ot){const ht=it[O.MESH_ANNOTATIONS[`${ot}EyeUpper0`][W]][2],ut=it[O.MESH_ANNOTATIONS[`${ot}EyeLower0`][nt]][2],yt=(ht+ut)/2;return xt.map((Zt,ar)=>{let qt=yt;return ar===2?qt=ht:ar===4&&(qt=ut),[Zt[0],Zt[1],qt]})}async predict(it,xt){if(this.skipFrames=xt.detector.skipFrames,this.maxFaces=xt.detector.maxFaces,this.runsWithoutFaceDetector++,this.shouldUpdateRegionsOfInterest()){const ht=await this.boundingBoxDetector.getBoundingBoxes(it);if(!ht||!ht.boxes||ht.boxes.length===0)return this.regionsOfInterest=[],null;const ut=ht.boxes.map(yt=>{const Zt=yt.box.startPoint.squeeze(),ar=yt.box.endPoint.squeeze(),qt={startPoint:Zt.arraySync(),endPoint:ar.arraySync()};Zt.dispose(),ar.dispose();const Ur=ke.scaleBoxCoordinates(qt,ht.scaleFactor),jr=ke.enlargeBox(Ur),_r=yt.landmarks.arraySync();return yt.box.startPoint.dispose(),yt.box.endPoint.dispose(),yt.landmarks.dispose(),yt.probability.dispose(),{...jr,landmarks:_r}});this.updateRegionsOfInterest(ut),this.runsWithoutFaceDetector=0}const ot=i.tidy(()=>this.regionsOfInterest.map((ht,ut)=>{let yt=0;const Zt=ht.landmarks.length>=se;let[ar,qt]=Ae;Zt===!1&&([ar,qt]=me),yt=H.computeRotation(ht.landmarks[ar],ht.landmarks[qt]);const Ur=ke.getBoxCenter({startPoint:ht.startPoint,endPoint:ht.endPoint}),jr=[Ur[0]/it.shape[2],Ur[1]/it.shape[1]];let _r=it,tr=H.IDENTITY_MATRIX;yt!==0&&(_r=i.image.rotateWithOffset(it,yt,0,jr),tr=H.buildRotationMatrix(-yt,Ur));const Fa={startPoint:ht.startPoint,endPoint:ht.endPoint},Oa=ke.cutBoxFromImageAndResize(Fa,_r,[this.meshHeight,this.meshWidth]).div(255),[,Tn,Wa]=this.meshDetector.predict(Oa),Na=i.reshape(Wa,[-1,3]);let yn=Na.arraySync();if(xt.iris.enabled){const{box:rn,boxSize:Ca,crop:xn}=this.getEyeBox(yn,Oa,w[0],w[1],!0),{box:Hn,boxSize:_i,crop:ha}=this.getEyeBox(yn,Oa,ze[0],ze[1]),Ei=this.irisModel.predict(i.concat([xn,ha])),Gn=Ei.dataSync();Ei.dispose();const jn=Gn.slice(0,nr*3),{rawCoords:Ua,iris:ga}=this.getEyeCoords(jn,rn,Ca,!0),wi=Gn.slice(nr*3),{rawCoords:Ta,iris:on}=this.getEyeCoords(wi,Hn,_i),_n=this.getLeftToRightEyeDepthDifference(yn);Math.abs(_n)<30?(Tt(yn,Ua,"left"),Tt(yn,Ta,"right")):_n<1?Tt(yn,Ua,"left",["EyeUpper0","EyeLower0"]):Tt(yn,Ta,"right",["EyeUpper0","EyeLower0"]);const xa=this.getAdjustedIrisCoords(yn,ga,"left"),Rr=this.getAdjustedIrisCoords(yn,on,"right");yn=yn.concat(xa).concat(Rr)}const Ma=this.transformRawCoords(yn,ht,yt,tr);i.dispose(yn);const li=ke.enlargeBox(this.calculateLandmarksBoundingBox(Ma)),hi=Tn.squeeze();if(i.dispose(Tn),xt.mesh.enabled){const rn=i.tensor2d(Ma);this.regionsOfInterest[ut]={...li,landmarks:rn.arraySync()};const Ca={coords:rn,box:li,confidence:hi,image:Oa};return Ca}const la={coords:null,box:li,confidence:hi,image:Oa};return la}));return ot}updateRegionsOfInterest(it){for(let xt=0;xt<it.length;xt++){const ot=it[xt],ht=this.regionsOfInterest[xt];let ut=0;if(ht&&ht.startPoint){const[yt,Zt]=ot.startPoint,[ar,qt]=ot.endPoint,[Ur,jr]=ht.startPoint,[_r,tr]=ht.endPoint,Fa=Math.max(yt,Ur),Oa=Math.max(Zt,jr),Tn=Math.min(ar,_r),Wa=Math.min(qt,tr),Na=(Tn-Fa)*(Wa-Oa),yn=(ar-yt)*(qt-Zt),Ma=(_r-Ur)*(tr-Zt);ut=Na/(yn+Ma-Na)}ut<xe&&(this.regionsOfInterest[xt]=ot)}this.regionsOfInterest=this.regionsOfInterest.slice(0,it.length)}clearRegionOfInterest(it){this.regionsOfInterest[it]!=null&&(this.regionsOfInterest=[...this.regionsOfInterest.slice(0,it),...this.regionsOfInterest.slice(it+1)])}shouldUpdateRegionsOfInterest(){return this.regionsOfInterest.length===0?!0:this.regionsOfInterest.length!==this.maxFaces&&this.runsWithoutFaceDetector>=this.skipFrames}calculateLandmarksBoundingBox(it){const 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i=to(),ke=_g(),O=df(),H=kg(),se=Sg(),xe=Ig().default;class Q{constructor(P,he,me,ae){this.pipeline=new H.Pipeline(P,he,me,ae),ae&&(this.config=ae)}async estimateFaces(P,he){he&&(this.config=he);const me=await this.pipeline.predict(P,he),ae=[];for(const w of me||[]){if(w.isDisposedInternal)continue;const ge=w.confidence.arraySync();if(ge>=this.config.detector.minConfidence){const ze=w.coords?w.coords.arraySync():null,W={};if(ze&&ze.length>0)for(const nt in O.MESH_ANNOTATIONS)(this.config.iris.enabled||nt.includes("Iris")===!1)&&(W[nt]=O.MESH_ANNOTATIONS[nt].map(tt=>ze[tt]));ae.push({confidence:ge||0,box:w.box?[w.box.startPoint[0],w.box.startPoint[1],w.box.endPoint[0]-w.box.startPoint[0],w.box.endPoint[1]-w.box.startPoint[1]]:0,mesh:ze,annotations:W,image:w.image?i.clone(w.image):null})}w.confidence&&w.confidence.dispose(),w.coords&&w.coords.dispose(),w.image&&w.image.dispose()}return ae}}async function Ae(P){const he=await Promise.all([ke.load(P),i.loadGraphModel(P.mesh.modelPath,{fromTFHub:P.mesh.modelPath.includes("tfhub.dev")}),i.loadGraphModel(P.iris.modelPath,{fromTFHub:P.iris.modelPath.includes("tfhub.dev")})]),me=new Q(he[0],he[1],he[2],P);return me}N.load=Ae,N.MediaPipeFaceMesh=Q,N.uv_coords=se,N.triangulation=xe}),Bp=Mr(N=>{const i={};function ke(O,H){if(!H||!H.kernels)return;const se=5,xe=H.kernels.filter(he=>he.kernelTimeMs>0).reduce((he,me)=>he+=me.kernelTimeMs,0),Q=H.kernels.map((he,me)=>(he.id=me,he)).filter(he=>he.kernelTimeMs>0).sort((he,me)=>me.kernelTimeMs-he.kernelTimeMs),Ae=H.kernels.map((he,me)=>(he.id=me,he)).filter(he=>he.totalBytesSnapshot>0).sort((he,me)=>me.totalBytesSnapshot-he.totalBytesSnapshot);Q.length>se&&(Q.length=se),Ae.length>se&&(Ae.length=se);const P={newBytes:H.newBytes,newTensors:H.newTensors,peakBytes:H.peakBytes,numKernelOps:H.kernels.length,timeKernelOps:xe,slowestKernelOps:Q,largestKernelOps:Ae};i[O]=P}N.run=ke,N.data=i}),Cg=Mr(N=>{const i=to(),ke=Bp(),O={};let H={age:0,gender:""},se=Number.MAX_SAFE_INTEGER;async function xe(P){return O.age||(O.age=await i.loadGraphModel(P.face.age.modelPath)),O.age}async function Q(P){return O.gender||(O.gender=await i.loadGraphModel(P.face.gender.modelPath)),O.gender}async function Ae(P,he){if(se<he.face.age.skipFrames)return se+=1,H;se=0;const me=i.image.resizeBilinear(P,[he.face.age.inputSize,he.face.age.inputSize],!1),ae=i.mul(me,[255]);i.dispose(me);const w=[];let ge,ze;const W={};if(!he.profile||he.async)he.face.age.enabled&&w.push(ge=O.age.predict(ae)),he.face.gender.enabled&&w.push(ze=O.gender.predict(ae)),await Promise.all(w);else{const nt=he.face.age.enabled?await i.profile(()=>O.age.predict(ae)):{};ge=nt.result.clone(),nt.result.dispose(),ke.run("age",nt);const tt=he.face.gender.enabled?await i.profile(()=>O.gender.predict(ae)):{};ze=tt.result.clone(),tt.result.dispose(),ke.run("gender",tt)}if(ge){const nt=ge.dataSync();W.age=Math.trunc(10*nt[0])/10,i.dispose(ge)}if(ze){const nt=ze.dataSync(),tt=Math.trunc(Math.abs(1.9*100*(nt[0]-.5)))/100;tt>he.face.gender.minConfidence&&(W.gender=nt[0]<=.5?"female":"male",W.confidence=tt),i.dispose(ze)}return i.dispose(ae),H=W,W}N.predict=Ae,N.loadAge=xe,N.loadGender=Q}),Tg=Mr(N=>{const i=to(),ke=Bp(),O=["angry","discust","fear","happy","sad","surpise","neutral"],H={};let se=[],xe=Number.MAX_SAFE_INTEGER;const Q=1.5;async function Ae(he){return H.emotion||(H.emotion=await i.loadGraphModel(he.face.emotion.modelPath)),H.emotion}async function P(he,me){if(xe<me.face.emotion.skipFrames)return xe+=1,se;xe=0;const ae=i.image.resizeBilinear(he,[me.face.emotion.inputSize,me.face.emotion.inputSize],!1),[w,ge,ze]=i.split(ae,3,3);ae.dispose();const W=i.mul(w,[.2989]),nt=i.mul(ge,[.587]),tt=i.mul(ze,[.114]);w.dispose(),ge.dispose(),ze.dispose();const nr=i.addN([W,nt,tt]);W.dispose(),nt.dispose(),tt.dispose();const Tt=[];if(me.face.emotion.enabled){let Qe;if(me.profile){const it=await 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i.tidy(()=>i.div(H,127.5).sub(1))}nameOutputResults(H){const[se,xe,Q,Ae]=H;return{offsets:se,heatmap:xe,displacementFwd:Q,displacementBwd:Ae}}}N.MobileNet=O}),Rg=Mr(N=>{function i(O){return Math.floor(O/2)}class ke{constructor(O,H){this.priorityQueue=new Array(O),this.numberOfElements=-1,this.getElementValue=H}enqueue(O){this.priorityQueue[++this.numberOfElements]=O,this.swim(this.numberOfElements)}dequeue(){const O=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,O}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(O){for(;O>0&&this.less(i(O),O);)this.exchange(O,i(O)),O=i(O)}sink(O){for(;2*O<=this.numberOfElements;){let H=2*O;if(H<this.numberOfElements&&this.less(H,H+1)&&H++,!this.less(O,H))break;this.exchange(O,H),O=H}}getValueAt(O){return 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he}N.buildPartWithScoreQueue=O}),Xh=Mr(N=>{N.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],N.NUM_KEYPOINTS=N.partNames.length,N.partIds=N.partNames.reduce((ke,O,H)=>(ke[O]=H,ke),{});const i=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];N.poseChain=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]],N.connectedPartIndices=i.map(([ke,O])=>[N.partIds[ke],N.partIds[O]]),N.partChannels=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]}),mf=Mr(N=>{const i=Xh();function ke(P,he,me,ae){return{y:ae.get(P,he,me),x:ae.get(P,he,me+i.NUM_KEYPOINTS)}}N.getOffsetPoint=ke;function O(P,he,me){const{heatmapY:ae,heatmapX:w,id:ge}=P,{y:ze,x:W}=ke(ae,w,ge,me);return{x:P.heatmapX*he+W,y:P.heatmapY*he+ze}}N.getImageCoords=O;function H(P,he){const me=new Array(he);for(let ae=0;ae<he;ae++)me[ae]=P;return me}N.fillArray=H;function se(P,he,me){return P<he?he:P>me?me:P}N.clamp=se;function xe(P,he,me,ae){const w=me-P,ge=ae-he;return w*w+ge*ge}N.squaredDistance=xe;function Q(P,he){return{x:P.x+he.x,y:P.y+he.y}}N.addVectors=Q;function Ae(P,he,me){return{y:se(P.y,he,me),x:se(P.x,he,me)}}N.clampVector=Ae}),Dg=Mr(N=>{const i=Xh(),ke=mf(),O=i.poseChain.map(([he,me])=>[i.partIds[he],i.partIds[me]]),H=O.map(([,he])=>he),se=O.map(([he])=>he);function xe(he,me,ae){const w=ae.shape[2]/2;return{y:ae.get(me.y,me.x,he),x:ae.get(me.y,me.x,w+he)}}function Q(he,me,ae,w){return{y:ke.clamp(Math.round(he.y/me),0,ae-1),x:ke.clamp(Math.round(he.x/me),0,w-1)}}function Ae(he,me,ae,w,ge,ze,W,nt=2){const[tt,nr]=w.shape,Tt=Q(me.position,ze,tt,nr),Qe=xe(he,Tt,W),it=ke.addVectors(me.position,Qe);let xt=it;for(let ut=0;ut<nt;ut++){const yt=Q(xt,ze,tt,nr),Zt=ke.getOffsetPoint(yt.y,yt.x,ae,ge);xt=ke.addVectors({x:yt.x*ze,y:yt.y*ze},{x:Zt.x,y:Zt.y})}const ot=Q(xt,ze,tt,nr),ht=w.get(ot.y,ot.x,ae);return{position:xt,part:i.partNames[ae],score:ht}}function P(he,me,ae,w,ge,ze){const W=me.shape[2],nt=H.length,tt=new Array(W),{part:nr,score:Tt}=he,Qe=ke.getImageCoords(nr,w,ae);tt[nr.id]={score:Tt,part:i.partNames[nr.id],position:Qe};for(let it=nt-1;it>=0;--it){const xt=H[it],ot=se[it];tt[xt]&&!tt[ot]&&(tt[ot]=Ae(it,tt[xt],ot,me,ae,w,ze))}for(let it=0;it<nt;++it){const xt=se[it],ot=H[it];tt[xt]&&!tt[ot]&&(tt[ot]=Ae(it,tt[xt],ot,me,ae,w,ge))}return tt}N.decodePose=P}),yf=Mr(N=>{const i=Ag(),ke=Dg(),O=mf();function H(Ae,P,{x:he,y:me},ae){return Ae.some(({keypoints:w})=>{const ge=w[ae].position;return O.squaredDistance(me,he,ge.y,ge.x)<=P})}function se(Ae,P,he){const me=he.reduce((ae,{position:w,score:ge},ze)=>(H(Ae,P,w,ze)||(ae+=ge),ae),0);return me/he.length}const xe=1;function Q(Ae,P,he,me,ae,w,ge=.5,ze=20){const W=[],nt=i.buildPartWithScoreQueue(ge,xe,Ae),tt=ze*ze;for(;W.length<w&&!nt.empty();){const nr=nt.dequeue(),Tt=O.getImageCoords(nr.part,ae,P);if(H(W,tt,Tt,nr.part.id))continue;const Qe=ke.decodePose(nr,Ae,P,ae,he,me),it=se(W,tt,Qe);W.push({keypoints:Qe,score:it})}return W}N.decodeMultiplePoses=Q}),vf=Mr(N=>{const i=Xh();function ke(ae,w,ge){return ae<ge||w<ge}function O(ae,w){return i.connectedPartIndices.reduce((ge,[ze,W])=>(ke(ae[ze].score,ae[W].score,w)||ge.push([ae[ze],ae[W]]),ge),[])}N.getAdjacentKeyPoints=O;const{NEGATIVE_INFINITY:H,POSITIVE_INFINITY:se}=Number;function xe(ae){return ae.reduce(({maxX:w,maxY:ge,minX:ze,minY:W},{position:{x:nt,y:tt}})=>({maxX:Math.max(w,nt),maxY:Math.max(ge,tt),minX:Math.min(ze,nt),minY:Math.min(W,tt)}),{maxX:H,maxY:H,minX:se,minY:se})}N.getBoundingBox=xe;function Q(ae){const{minX:w,minY:ge,maxX:ze,maxY:W}=xe(ae);return[{x:w,y:ge},{x:ze,y:ge},{x:ze,y:W},{x:w,y:W}]}N.getBoundingBoxPoints=Q;async function Ae(ae){return Promise.all(ae.map(w=>w.buffer()))}N.toTensorBuffers3D=Ae;function P(ae,w,ge){return{score:ae.score,keypoints:ae.keypoints.map(({score:ze,part:W,position:nt})=>({score:ze,part:W,position:{x:nt.x*ge,y:nt.y*w}}))}}N.scalePose=P;function he(ae,[w,ge]){const ze=ae.squeeze(0),W=ze.resizeBilinear([w,ge]);return ze.dispose(),W}N.resizeTo=he;function me(ae,[w,ge],[ze,W]){const nt=ae.map(tt=>P(tt,w/ze,ge/W));return nt}N.scaleAndFlipPoses=me}),Fg=Mr(N=>{const i=to(),ke=ff(),O=yf(),H=vf();class se{constructor(Ae){this.baseModel=Ae}async estimatePoses(Ae,P){const he=P.outputStride,me=Ae.shape[1],ae=Ae.shape[2],w=H.resizeTo(Ae,[P.inputResolution,P.inputResolution]),{heatmapScores:ge,offsets:ze,displacementFwd:W,displacementBwd:nt}=this.baseModel.predict(w),tt=await H.toTensorBuffers3D([ge,ze,W,nt]),nr=tt[0],Tt=tt[1],Qe=tt[2],it=tt[3],xt=await O.decodeMultiplePoses(nr,Tt,Qe,it,he,P.maxDetections,P.scoreThreshold,P.nmsRadius),ot=H.scaleAndFlipPoses(xt,[me,ae],[P.inputResolution,P.inputResolution]);return ge.dispose(),ze.dispose(),W.dispose(),nt.dispose(),w.dispose(),ot}dispose(){this.baseModel.dispose()}}N.PoseNet=se;async function xe(Ae){const P=await i.loadGraphModel(Ae.modelPath),he=new ke.MobileNet(P,Ae.outputStride);return new se(he)}async function Q(Ae){return xe(Ae)}N.load=Q}),Og=Mr(N=>{const i=ff(),ke=Fg(),O=yf(),H=Xh(),se=vf();N.load=ke.load,N.PoseNet=ke.PoseNet,N.MobileNet=i.MobileNet,N.decodeMultiplePoses=O.decodeMultiplePoses,N.partChannels=H.partChannels,N.partIds=H.partIds,N.partNames=H.partNames,N.poseChain=H.poseChain,N.getAdjacentKeyPoints=se.getAdjacentKeyPoints,N.getBoundingBox=se.getBoundingBox,N.getBoundingBoxPoints=se.getBoundingBoxPoints,N.scaleAndFlipPoses=se.scaleAndFlipPoses,N.scalePose=se.scalePose}),gf=Mr(N=>{Kh(N,{cutBoxFromImageAndResize:()=>H,enlargeBox:()=>xe,getBoxCenter:()=>O,getBoxSize:()=>ke,scaleBoxCoordinates:()=>se,shiftBox:()=>Ae,squarifyBox:()=>Q});const i=to();function ke(P){return[Math.abs(P.endPoint[0]-P.startPoint[0]),Math.abs(P.endPoint[1]-P.startPoint[1])]}function O(P){return[P.startPoint[0]+(P.endPoint[0]-P.startPoint[0])/2,P.startPoint[1]+(P.endPoint[1]-P.startPoint[1])/2]}function H(P,he,me){const ae=he.shape[1],w=he.shape[2],ge=[[P.startPoint[1]/ae,P.startPoint[0]/w,P.endPoint[1]/ae,P.endPoint[0]/w]];return i.image.cropAndResize(he,ge,[0],me)}function se(P,he){const me=[P.startPoint[0]*he[0],P.startPoint[1]*he[1]],ae=[P.endPoint[0]*he[0],P.endPoint[1]*he[1]],w=P.palmLandmarks.map(ge=>{const ze=[ge[0]*he[0],ge[1]*he[1]];return ze});return{startPoint:me,endPoint:ae,palmLandmarks:w}}function xe(P,he=1.5){const me=O(P),ae=ke(P),w=[he*ae[0]/2,he*ae[1]/2],ge=[me[0]-w[0],me[1]-w[1]],ze=[me[0]+w[0],me[1]+w[1]];return{startPoint:ge,endPoint:ze,palmLandmarks:P.palmLandmarks}}function Q(P){const he=O(P),me=ke(P),ae=Math.max(...me),w=ae/2,ge=[he[0]-w,he[1]-w],ze=[he[0]+w,he[1]+w];return{startPoint:ge,endPoint:ze,palmLandmarks:P.palmLandmarks}}function Ae(P,he){const me=[P.endPoint[0]-P.startPoint[0],P.endPoint[1]-P.startPoint[1]],ae=[me[0]*he[0],me[1]*he[1]],w=[P.startPoint[0]+ae[0],P.startPoint[1]+ae[1]],ge=[P.endPoint[0]+ae[0],P.endPoint[1]+ae[1]];return{startPoint:w,endPoint:ge,palmLandmarks:P.palmLandmarks}}}),Mg=Mr(N=>{const i=to(),ke=gf();class O{constructor(H,se,xe){this.model=H,this.width=se,this.height=se,this.anchors=xe.map(Q=>[Q.x_center,Q.y_center]),this.anchorsTensor=i.tensor2d(this.anchors),this.inputSizeTensor=i.tensor1d([se,se]),this.doubleInputSizeTensor=i.tensor1d([se*2,se*2])}normalizeBoxes(H){return i.tidy(()=>{const se=i.slice(H,[0,0],[-1,2]),xe=i.slice(H,[0,2],[-1,2]),Q=i.add(i.div(se,this.inputSizeTensor),this.anchorsTensor),Ae=i.div(xe,this.doubleInputSizeTensor),P=i.mul(i.sub(Q,Ae),this.inputSizeTensor),he=i.mul(i.add(Q,Ae),this.inputSizeTensor);return i.concat2d([P,he],1)})}normalizeLandmarks(H,se){return i.tidy(()=>{const xe=i.add(i.div(H.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[se]);return i.mul(xe,this.inputSizeTensor)})}async getBoundingBoxes(H,se){const xe=i.tidy(()=>i.mul(i.sub(H,.5),2)),Q=this.model.predict(xe),Ae=Q.squeeze(),P=i.tidy(()=>i.sigmoid(i.slice(Ae,[0,0],[-1,1])).squeeze()),he=i.slice(Ae,[0,1],[-1,4]),me=this.normalizeBoxes(he),ae=i.image.nonMaxSuppression(me,P,se.maxHands,se.iouThreshold,se.scoreThreshold),w=ae.arraySync(),ge=[xe,Q,ae,Ae,me,he,P];if(w.length===0)return ge.forEach(W=>W.dispose()),null;const ze=[];for(const W of w){const nt=i.slice(me,[W,0],[1,-1]),tt=i.slice(Ae,[W,5],[1,14]),nr=i.tidy(()=>this.normalizeLandmarks(tt,W).reshape([-1,2]));tt.dispose(),ze.push({boxes:nt,palmLandmarks:nr})}return ge.forEach(W=>W.dispose()),ze}async estimateHandBounds(H,se){const xe=H.shape[1],Q=H.shape[2],Ae=i.tidy(()=>H.resizeBilinear([this.width,this.height]).div(255)),P=await this.getBoundingBoxes(Ae,se);if(!P||P.length===0)return Ae.dispose(),null;const he=[];for(const me of P){const ae=me.boxes.arraySync(),w=ae[0].slice(0,2),ge=ae[0].slice(2,4),ze=me.palmLandmarks.arraySync();Ae.dispose(),me.boxes.dispose(),me.palmLandmarks.dispose(),he.push(ke.scaleBoxCoordinates({startPoint:w,endPoint:ge,palmLandmarks:ze},[Q/this.width,xe/this.height]))}return he}}N.HandDetector=O}),Lg=Mr(N=>{Kh(N,{buildRotationMatrix:()=>Q,computeRotation:()=>ke,dot:()=>H,getColumnFrom2DArr:()=>se,invertTransformMatrix:()=>Ae,normalizeRadians:()=>i,rotatePoint:()=>P});function i(he){return he-2*Math.PI*Math.floor((he+Math.PI)/(2*Math.PI))}function ke(he,me){const ae=Math.PI/2-Math.atan2(-(me[1]-he[1]),me[0]-he[0]);return i(ae)}const O=(he,me)=>[[1,0,he],[0,1,me],[0,0,1]];function H(he,me){let ae=0;for(let w=0;w<he.length;w++)ae+=he[w]*me[w];return ae}function se(he,me){const ae=[];for(let w=0;w<he.length;w++)ae.push(he[w][me]);return ae}function xe(he,me){const ae=[],w=he.length;for(let ge=0;ge<w;ge++){ae.push([]);for(let ze=0;ze<w;ze++)ae[ge].push(H(he[ge],se(me,ze)))}return ae}function Q(he,me){const ae=Math.cos(he),w=Math.sin(he),ge=[[ae,-w,0],[w,ae,0],[0,0,1]],ze=O(me[0],me[1]),W=xe(ze,ge),nt=O(-me[0],-me[1]);return xe(W,nt)}function Ae(he){const me=[[he[0][0],he[1][0]],[he[0][1],he[1][1]]],ae=[he[0][2],he[1][2]],w=[-H(me[0],ae),-H(me[1],ae)];return[me[0].concat(w[0]),me[1].concat(w[1]),[0,0,1]]}function P(he,me){return[H(he,me[0]),H(he,me[1])]}}),zg=Mr(N=>{const i=to(),ke=gf(),O=Lg(),H=.8,se=[0,-.4],xe=3,Q=[0,-.1],Ae=1.65,P=[0,5,9,13,17,1,2],he=0,me=2;class ae{constructor(w,ge,ze){this.boundingBoxDetector=w,this.meshDetector=ge,this.inputSize=ze,this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.maxHandsNumber=1,this.skipFrames=0}getBoxForPalmLandmarks(w,ge){const ze=w.map(nt=>{const tt=[...nt,1];return O.rotatePoint(tt,ge)}),W=this.calculateLandmarksBoundingBox(ze);return ke.enlargeBox(ke.squarifyBox(ke.shiftBox(W,se)),xe)}getBoxForHandLandmarks(w){const ge=this.calculateLandmarksBoundingBox(w),ze=ke.enlargeBox(ke.squarifyBox(ke.shiftBox(ge,Q)),Ae),W=[];for(let nt=0;nt<P.length;nt++)W.push(w[P[nt]].slice(0,2));return ze.palmLandmarks=W,ze}transformRawCoords(w,ge,ze,W){const nt=ke.getBoxSize(ge),tt=[nt[0]/this.inputSize,nt[1]/this.inputSize],nr=w.map(ht=>[tt[0]*(ht[0]-this.inputSize/2),tt[1]*(ht[1]-this.inputSize/2),ht[2]]),Tt=O.buildRotationMatrix(ze,[0,0]),Qe=nr.map(ht=>{const ut=O.rotatePoint(ht,Tt);return[...ut,ht[2]]}),it=O.invertTransformMatrix(W),xt=[...ke.getBoxCenter(ge),1],ot=[O.dot(xt,it[0]),O.dot(xt,it[1])];return Qe.map(ht=>[ht[0]+ot[0],ht[1]+ot[1],ht[2]])}async estimateHands(w,ge){this.skipFrames=ge.skipFrames;const ze=this.shouldUpdateRegionsOfInterest();if(ze){const nt=await this.boundingBoxDetector.estimateHandBounds(w,ge);if(this.regionsOfInterest=[],!nt||nt.length===0)return w.dispose(),null;for(const tt of nt)this.regionsOfInterest.push(tt);this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const W=[];for(const nt in this.regionsOfInterest){const tt=this.regionsOfInterest[nt];if(!tt)continue;const nr=O.computeRotation(tt.palmLandmarks[he],tt.palmLandmarks[me]),Tt=ke.getBoxCenter(tt),Qe=[Tt[0]/w.shape[2],Tt[1]/w.shape[1]],it=i.image.rotateWithOffset(w,nr,0,Qe),xt=O.buildRotationMatrix(-nr,Tt),ot=ze?this.getBoxForPalmLandmarks(tt.palmLandmarks,xt):tt,ht=ke.cutBoxFromImageAndResize(ot,it,[this.inputSize,this.inputSize]),ut=ht.div(255);ht.dispose(),it.dispose();const yt=this.meshDetector.predict(ut),[Zt,ar]=yt;ut.dispose();const qt=Zt.dataSync()[0];if(Zt.dispose(),qt<ge.minConfidence)return ar.dispose(),this.regionsOfInterest[nt]=null,null;const Ur=i.reshape(ar,[-1,3]),jr=Ur.arraySync();ar.dispose(),Ur.dispose();const _r=this.transformRawCoords(jr,ot,nr,xt),tr=this.getBoxForHandLandmarks(_r);this.updateRegionsOfInterest(tr,nt);const Fa={landmarks:_r,handInViewConfidence:qt,boundingBox:{topLeft:tr.startPoint,bottomRight:tr.endPoint}};W.push(Fa)}return 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ke.HandDetector(P,Ae.inputSize,H.anchors),ae=new O.HandPipeline(me,he,Ae.inputSize),w=new xe(ae);return w}N.load=Q}),Wg=Mr(N=>{N.body=i=>{if(!i)return[];const ke=[];for(const O of i){const H=O.keypoints.find(P=>P.part==="leftWrist"),se=O.keypoints.find(P=>P.part==="rightWrist"),xe=O.keypoints.find(P=>P.part==="nose");xe&&H&&se&&H.position.y<xe.position.y&&se.position.y<xe.position.y?ke.push("i give up"):xe&&H&&H.position.y<xe.position.y?ke.push("raise left hand"):xe&&se&&se.position.y<xe.position.y&&ke.push("raise right hand");const Q=O.keypoints.find(P=>P.part==="leftShoulder"),Ae=O.keypoints.find(P=>P.part==="rightShoulder");Q&&Ae&&ke.push(`leaning ${Q.position.y>Ae.position.y?"left":"right"}`)}return ke},N.face=i=>{if(!i)return[];const ke=[];for(const O of i)O.annotations.rightCheek&&O.annotations.leftCheek&&O.annotations.rightCheek.length>0&&O.annotations.leftCheek.length>0&&ke.push(`facing ${O.annotations.rightCheek[0][2]>0||O.annotations.leftCheek[0][2]<0?"right":"left"}`);return ke},N.hand=i=>{if(!i)return[];const ke=[];for(const O of i){const H=[];for(const[Q,Ae]of Object.entries(O.annotations))Q!=="palmBase"&&H.push({name:Q.toLowerCase(),position:Ae[0]});const se=H.reduce((Q,Ae)=>Q.position[2]<Ae.position[2]?Q:Ae),xe=H.reduce((Q,Ae)=>Q.position[1]<Ae.position[1]?Q:Ae);ke.push(`${se.name} forward ${xe.name} up`)}return ke}}),Ug=Mr(N=>{const i=function(O,H,se){const xe=function(he,me,ae){const w=new RegExp("\\b"+me+" \\w+ (\\w+)","ig");he.replace(w,(ge,ze)=>(ae[ze]=0,ge))},Q=function(he,me){const ae=O.createShader(me);if(O.shaderSource(ae,he),O.compileShader(ae),!O.getShaderParameter(ae,O.COMPILE_STATUS))throw new Error("Filter: GL compile failed",O.getShaderInfoLog(ae));return ae};this.uniform={},this.attribute={};const Ae=Q(H,O.VERTEX_SHADER),P=Q(se,O.FRAGMENT_SHADER);if(this.id=O.createProgram(),O.attachShader(this.id,Ae),O.attachShader(this.id,P),O.linkProgram(this.id),!O.getProgramParameter(this.id,O.LINK_STATUS))throw new Error("Filter: GL link 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i={backend:"webgl",console:!0,async:!1,profile:!1,deallocate:!1,scoped:!1,videoOptimized:!0,filter:{enabled:!0,width:0,height:0,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"../models/blazeface-back.json",inputSize:256,maxFaces:10,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.5},mesh:{enabled:!0,modelPath:"../models/facemesh.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris.json",enlargeFactor:2.3,inputSize:64},age:{enabled:!0,modelPath:"../models/ssrnet-age-imdb.json",inputSize:64,skipFrames:10},gender:{enabled:!0,minConfidence:.8,modelPath:"../models/ssrnet-gender-imdb.json"},emotion:{enabled:!0,inputSize:64,minConfidence:.5,skipFrames:10,modelPath:"../models/emotion.json"}},body:{enabled:!0,modelPath:"../models/posenet.json",inputResolution:257,outputStride:16,maxDetections:10,scoreThreshold:.5,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.5,enlargeFactor:1.65,maxHands:10,detector:{modelPath:"../models/handdetect.json"},skeleton:{modelPath:"../models/handskeleton.json"}}}}),Gg=Mr((N,i)=>{i.exports={name:"@vladmandic/human",version:"0.6.7",description:"human: 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--trace-uncaught --no-deprecation src/node.js",lint:"eslint src/*.js demo/*.js","build-iife":"esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js","build-esm-bundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js","build-esm-nobundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js","build-node":"esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js","build-node-nobundle":"esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit",changelog:"node changelog.js"},keywords:["tensorflowjs","face-detection","face-geometry","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"]}});const fo=to(),xf=Ng(),Yh=Cg(),Wp=Tg(),_f=Og(),wf=Bg(),Up=Wg(),jg=Vg(),qg=Bp(),Qh=Hg().default,Kg=Gg(),Xg={face:{detector:{skipFrames:0},age:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},ei=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function Zh(...N){const i=ke=>ke&&typeof ke=="object";return N.reduce((ke,O)=>(Object.keys(O||{}).forEach(H=>{const se=ke[H],xe=O[H];Array.isArray(se)&&Array.isArray(xe)?ke[H]=se.concat(...xe):i(se)&&i(xe)?ke[H]=Zh(se,xe):ke[H]=xe}),ke),{})}class 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version: ${fo.version_core}`),this.log("configuration:",this.config),this.log("flags:",fo.ENV.flags),this.firstRun=!1),this.config.face.enabled&&!this.models.facemesh&&(this.log("load model: face"),this.models.facemesh=await xf.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.log("load model: body"),this.models.posenet=await _f.load(this.config.body)),this.config.hand.enabled&&!this.models.handpose&&(this.log("load model: hand"),this.models.handpose=await wf.load(this.config.hand)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.log("load model: age"),this.models.age=await Yh.loadAge(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.log("load model: gender"),this.models.gender=await Yh.loadGender(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.log("load model: emotion"),this.models.emotion=await Wp.load(this.config))}async checkBackend(N){(N||fo.getBackend()!==this.config.backend)&&(this.state="backend",this.log("setting backend:",this.config.backend),await fo.setBackend(this.config.backend),fo.enableProdMode(),this.config.deallocate&&this.config.backend==="webgl"&&(this.log("Changing WebGL: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),fo.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),await fo.ready())}async detect(N,i={}){this.state="config";const ke={};let O;this.config=Zh(Qh,i),this.config.videoOptimized||(this.config=Zh(this.config,Xg)),this.state="check";const H=this.sanity(N);return H?(this.log(H,N),{error:H}):new Promise(async se=>{let xe,Q,Ae,P;const he=ei();O=ei(),await this.checkBackend(),ke.backend=Math.trunc(ei()-O),O=ei(),this.state="load",await this.load(),ke.load=Math.trunc(ei()-O),this.config.scoped&&fo.engine().startScope(),this.analyze("Start Detect:"),O=ei();const me=jg.process(N,this.config);ke.image=Math.trunc(ei()-O);const ae=[];if(this.config.face.enabled){this.state="run:face",O=ei(),this.analyze("Start FaceMesh:");const ge=await this.models.facemesh.estimateFaces(me.tensor,this.config.face);ke.face=Math.trunc(ei()-O);for(const ze of ge){if(!ze.image||ze.image.isDisposedInternal){this.log("Face object is disposed:",ze.image);continue}this.state="run:agegender",O=ei(),Ae=this.config.face.age.enabled||this.config.face.gender.enabled?await Yh.predict(ze.image,this.config):{},ke.agegender=Math.trunc(ei()-O),this.state="run:emotion",O=ei(),P=this.config.face.emotion.enabled?await Wp.predict(ze.image,this.config):{},ke.emotion=Math.trunc(ei()-O),ze.image.dispose();const W=ze.annotations.leftEyeIris&&ze.annotations.rightEyeIris?Math.max(ze.annotations.leftEyeIris[3][0]-ze.annotations.leftEyeIris[1][0],ze.annotations.rightEyeIris[3][0]-ze.annotations.rightEyeIris[1][0]):0;ae.push({confidence:ze.confidence,box:ze.box,mesh:ze.mesh,annotations:ze.annotations,age:Ae.age,gender:Ae.gender,agConfidence:Ae.confidence,emotion:P,iris:W!==0?Math.trunc(100*11.7/W)/100:0}),this.analyze("End FaceMesh:")}}this.config.async?xe=this.config.body.enabled?this.models.posenet.estimatePoses(me.tensor,this.config.body):[]:(this.state="run:body",O=ei(),this.analyze("Start PoseNet"),xe=this.config.body.enabled?await this.models.posenet.estimatePoses(me.tensor,this.config.body):[],this.analyze("End PoseNet:"),ke.body=Math.trunc(ei()-O)),this.config.async?Q=this.config.hand.enabled?this.models.handpose.estimateHands(me.tensor,this.config.hand):[]:(this.state="run:hand",O=ei(),this.analyze("Start HandPose:"),Q=this.config.hand.enabled?await this.models.handpose.estimateHands(me.tensor,this.config.hand):[],this.analyze("End HandPose:"),ke.hand=Math.trunc(ei()-O)),this.config.async&&([xe,Q]=await Promise.all([xe,Q])),me.tensor.dispose(),this.state="idle",this.config.scoped&&fo.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(O=ei(),w={body:Up.body(xe),hand:Up.hand(Q),face:Up.face(ae)},ke.gesture=Math.trunc(ei()-O)),ke.total=Math.trunc(ei()-he),se({face:ae,body:xe,hand:Q,gesture:w,performance:ke,canvas:me.canvas})})}}async function Yg(N,i,ke){if(!N)return;const O=i.getContext("2d");O.font=ke.baseFont,O.fillStyle=ke.baseLabel;let H=1;for(const[se,xe]of Object.entries(N))if(xe.length>0){const Q=`${se}: ${xe.join(", ")}`;O.fillText(Q,6,H*(ke.baseLineHeight+24)),H+=1}}async function Qg(N,i,ke,O){if(!N)return;const H=i.getContext("2d");for(const se of N){H.font=ke.baseFont,H.strokeStyle=ke.baseColor,H.fillStyle=ke.baseColor,H.lineWidth=ke.baseLineWidth,H.beginPath(),ke.drawBoxes&&H.rect(se.box[0],se.box[1],se.box[2],se.box[3]);const xe=[];se.agConfidence&&xe.push(`${Math.trunc(100*se.agConfidence)}% ${se.gender||""}`),se.age&&xe.push(`age: ${se.age||""}`),se.iris&&xe.push(`iris: ${se.iris}`),se.emotion&&se.emotion[0]&&xe.push(`${Math.trunc(100*se.emotion[0].score)}% ${se.emotion[0].emotion}`),H.fillStyle=ke.baseLabel;for(const Q in xe)H.fillText(xe[Q],se.box[0]+8,se.box[1]+24+(Q+1)*ke.baseLineHeight);if(H.stroke(),H.lineWidth=1,se.mesh){if(ke.drawPoints)for(const Q of se.mesh)H.fillStyle=ke.useDepth?`rgba(${127.5+2*Q[2]}, ${127.5-2*Q[2]}, 255, 0.5)`:ke.baseColor,H.beginPath(),H.arc(Q[0],Q[1],2,0,2*Math.PI),H.fill();if(ke.drawPolygons)for(let Q=0;Q<O.length/3;Q++){const Ae=[O[Q*3+0],O[Q*3+1],O[Q*3+2]].map(he=>se.mesh[he]),P=new Path2D;P.moveTo(Ae[0][0],Ae[0][1]);for(const he of Ae)P.lineTo(he[0],he[1]);P.closePath(),H.strokeStyle=ke.useDepth?`rgba(${127.5+2*Ae[0][2]}, ${127.5-2*Ae[0][2]}, 255, 0.3)`:ke.baseColor,H.stroke(P),ke.fillPolygons&&(H.fillStyle=ke.useDepth?`rgba(${127.5+2*Ae[0][2]}, ${127.5-2*Ae[0][2]}, 255, 0.3)`:ke.baseColor,H.fill(P))}}}}async function Zg(N,i,ke){if(!N)return;const O=i.getContext("2d");O.lineJoin="round";for(const H of N){if(O.fillStyle=ke.baseColor,O.strokeStyle=ke.baseColor,O.font=ke.baseFont,O.lineWidth=ke.baseLineWidth,ke.drawPoints)for(const se of H.keypoints)O.beginPath(),O.arc(se.position.x,se.position.y,2,0,2*Math.PI),O.fill();if(ke.drawPolygons){const se=new Path2D;let xe;xe=H.keypoints.find(Q=>Q.part==="leftShoulder"),se.moveTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightShoulder"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightHip"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftHip"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftShoulder"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftHip"),se.moveTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftKnee"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftAnkle"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightHip"),se.moveTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightKnee"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightAnkle"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightShoulder"),se.moveTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftShoulder"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftElbow"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftWrist"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="leftShoulder"),se.moveTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightShoulder"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightElbow"),se.lineTo(xe.position.x,xe.position.y),xe=H.keypoints.find(Q=>Q.part==="rightWrist"),se.lineTo(xe.position.x,xe.position.y),O.stroke(se)}}}async function Jg(N,i,ke){if(!N)return;const O=i.getContext("2d");O.lineJoin="round";for(const H of N){if(O.font=ke.baseFont,O.lineWidth=ke.baseLineWidth,ke.drawBoxes&&(O.lineWidth=ke.baseLineWidth,O.beginPath(),O.strokeStyle=ke.baseColor,O.fillStyle=ke.baseColor,O.rect(H.box[0],H.box[1],H.box[2],H.box[3]),O.fillStyle=ke.baseLabel,O.fillText("hand",H.box[0]+2,H.box[1]+22,H.box[2]),O.stroke()),ke.drawPoints)for(const se of H.landmarks)O.fillStyle=ke.useDepth?`rgba(${127.5+2*se[2]}, ${127.5-2*se[2]}, 255, 0.5)`:ke.baseColor,O.beginPath(),O.arc(se[0],se[1],2,0,2*Math.PI),O.fill();if(ke.drawPolygons){const se=xe=>{for(let Q=0;Q<xe.length;Q++)O.lineWidth=ke.baseLineWidth,O.beginPath(),O.strokeStyle=ke.useDepth?`rgba(${127.5+2*xe[Q][2]}, ${127.5-2*xe[Q][2]}, 255, 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    backend: ${Ts.tf.getBackend()} | ${xe} | object size: ${Sf(i).length.toLocaleString()} bytes
    performance: ${Sf(i.performance)} FPS:${Ae}
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Camera permission denied`,Es("camera permission denied"),hs(Ae)}if(se)N.srcObject=se;else return null;const xe=se.getVideoTracks()[0],Q=xe.getSettings();return hs("camera settings:",Q),hs("camera track:",xe),xh={name:xe.label,width:Q.width,height:Q.height,facing:Q.facingMode==="user"?"front":"back"},new Promise(Ae=>{N.onloadeddata=async()=>{N.width=N.videoWidth,N.height=N.videoHeight,i.width=N.width,i.height=N.height,O&&N.play(),Cn.busy=!1,Ae(N)}})}function rx(N,i,ke){Jh||(hs("Creating worker thread"),Jh=new Worker(Cn.worker,{type:"module"}),Jh.addEventListener("message",O=>jp(N,O.data,ke))),Jh.postMessage({image:i.data.buffer,width:ke.width,height:ke.height,config:yr},[i.data.buffer])}function Gp(N,i){if(Hp=performance.now(),N.srcObject){const ke=N.srcObject.getVideoTracks()[0].readyState==="live"&&N.readyState>2&&!N.paused;if(!ke){N.paused||(hs(`Video not ready: state: ${N.srcObject.getVideoTracks()[0].readyState} stream state: ${N.readyState}`),setTimeout(()=>Gp(N,i),500));return}if(Cn.useWorker){const O=new OffscreenCanvas(i.width,i.height),H=O.getContext("2d");H.drawImage(N,0,0,N.width,N.height,0,0,i.width,i.height);const se=H.getImageData(0,0,i.width,i.height);rx(N,se,i)}else Ts.detect(N,yr).then(O=>{O.error?hs(O.error):jp(N,O,i),yr.profile&&hs("Profile data:",Ts.profile())})}}async function nx(N){return Hp=performance.now(),new Promise(i=>{const ke=new Image;ke.onload=async()=>{hs("Processing image:",ke.src);const O=document.getElementById("canvas");ke.width=ke.naturalWidth,ke.height=ke.naturalHeight,O.width=yr.filter.width&&yr.filter.width>0?yr.filter.width:ke.naturalWidth,O.height=yr.filter.height&&yr.filter.height>0?yr.filter.height:ke.naturalHeight;const H=await Ts.detect(ke,yr);jp(ke,H,O);const se=document.createElement("canvas");se.className="thumbnail",se.width=window.innerWidth/(Cn.columns+.1),se.height=O.height/(window.innerWidth/se.width);const xe=se.getContext("2d");xe.drawImage(O,0,0,O.width,O.height,0,0,se.width,se.height),document.getElementById("samples-container").appendChild(se),ke.src="",i(!0)},ke.src=N})}async function ax(){yr.videoOptimized=!0,document.getElementById("samples-container").style.display="none",document.getElementById("canvas").style.display="block";const N=document.getElementById("video"),i=document.getElementById("canvas");Cn.baseFont=Cn.baseFontProto.replace(/{size}/,"1.3rem"),Cn.baseLineHeight=Cn.baseLineHeightProto,N.srcObject!==null&&!N.paused?(document.getElementById("play").style.display="block",Es("paused"),N.pause()):(await qp(),document.getElementById("play").style.display="none",Es(""),N.play()),Gp(N,i)}async function ix(){document.getElementById("play").style.display="none",yr.videoOptimized=!1,Cn.baseFont=Cn.baseFontProto.replace(/{size}/,`${1.3*Cn.columns}rem`),Cn.baseLineHeight=Cn.baseLineHeightProto*Cn.columns,document.getElementById("canvas").style.display="none",document.getElementById("samples-container").style.display="block",hs("Running detection of sample images"),Es("processing images"),document.getElementById("samples-container").innerHTML="";for(const N of Cn.samples)await nx(N);Es("")}function ox(){Vn=new Vp(document.body,"...",{top:"1rem",right:"1rem"});const N=Vn.addButton("Start Video","Pause Video",()=>ax());Vn.addButton("Process Images","Process Images",()=>ix()),document.getElementById("play").addEventListener("click",()=>N.click()),Vn.addHTML('<hr style="min-width: 200px; border-style: inset; border-color: dimgray">'),Vn.addList("Backend",["cpu","webgl","wasm","webgpu"],yr.backend,i=>yr.backend=i),Vn.addBool("Enable Profiler",yr,"profile"),Vn.addBool("Memory Shield",yr,"deallocate"),Vn.addBool("Use Web Worker",Cn,"useWorker"),Vn.addHTML('<hr style="min-width: 200px; border-style: inset; border-color: dimgray">'),Vn.addLabel("Enabled Models"),Vn.addBool("Face Detect",yr.face,"enabled"),Vn.addBool("Face Mesh",yr.face.mesh,"enabled"),Vn.addBool("Face Iris",yr.face.iris,"enabled"),Vn.addBool("Face Age",yr.face.age,"enabled"),Vn.addBool("Face Gender",yr.face.gender,"enabled"),Vn.addBool("Face Emotion",yr.face.emotion,"enabled"),Vn.addBool("Body Pose",yr.body,"enabled"),Vn.addBool("Hand Pose",yr.hand,"enabled"),Vn.addBool("Gesture Analysis",yr.gesture,"enabled"),Vn.addHTML('<hr style="min-width: 200px; border-style: inset; border-color: dimgray">'),Vn.addLabel("Model Parameters"),Vn.addRange("Max Objects",yr.face.detector,"maxFaces",0,50,1,i=>{yr.face.detector.maxFaces=parseInt(i),yr.body.maxDetections=parseInt(i),yr.hand.maxHands=parseInt(i)}),Vn.addRange("Skip Frames",yr.face.detector,"skipFrames",0,50,1,i=>{yr.face.detector.skipFrames=parseInt(i),yr.face.emotion.skipFrames=parseInt(i),yr.face.age.skipFrames=parseInt(i),yr.hand.skipFrames=parseInt(i)}),Vn.addRange("Min Confidence",yr.face.detector,"minConfidence",0,1,.05,i=>{yr.face.detector.minConfidence=parseFloat(i),yr.face.emotion.minConfidence=parseFloat(i),yr.hand.minConfidence=parseFloat(i)}),Vn.addRange("Score Threshold",yr.face.detector,"scoreThreshold",.1,1,.05,i=>{yr.face.detector.scoreThreshold=parseFloat(i),yr.hand.scoreThreshold=parseFloat(i),yr.body.scoreThreshold=parseFloat(i)}),Vn.addRange("IOU Threshold",yr.face.detector,"iouThreshold",.1,1,.05,i=>{yr.face.detector.iouThreshold=parseFloat(i),yr.hand.iouThreshold=parseFloat(i)}),Vn.addHTML('<hr style="min-width: 200px; border-style: inset; border-color: dimgray">'),Vn.addChart("FPS","FPS"),ea=new Vp(document.body,"...",{top:"1rem",right:"18rem"}),ea.addLabel("UI Options"),ea.addBool("Camera Front/Back",Cn,"facing",()=>qp()),ea.addBool("Use 3D Depth",Cn,"useDepth"),ea.addBool("Draw Boxes",Cn,"drawBoxes"),ea.addBool("Draw Points",Cn,"drawPoints"),ea.addBool("Draw Polygons",Cn,"drawPolygons"),ea.addBool("Fill Polygons",Cn,"fillPolygons"),ea.addHTML('<hr style="min-width: 200px; border-style: inset; border-color: dimgray">'),ea.addLabel("Image Processing"),ea.addBool("Enabled",yr.filter,"enabled"),ea.addRange("Image width",yr.filter,"width",0,3840,10,i=>yr.filter.width=parseInt(i)),ea.addRange("Image height",yr.filter,"height",0,2160,10,i=>yr.filter.height=parseInt(i)),ea.addRange("Brightness",yr.filter,"brightness",-1,1,.05,i=>yr.filter.brightness=parseFloat(i)),ea.addRange("Contrast",yr.filter,"contrast",-1,1,.05,i=>yr.filter.contrast=parseFloat(i)),ea.addRange("Sharpness",yr.filter,"sharpness",0,1,.05,i=>yr.filter.sharpness=parseFloat(i)),ea.addRange("Blur",yr.filter,"blur",0,20,1,i=>yr.filter.blur=parseInt(i)),ea.addRange("Saturation",yr.filter,"saturation",-1,1,.05,i=>yr.filter.saturation=parseFloat(i)),ea.addRange("Hue",yr.filter,"hue",0,360,5,i=>yr.filter.hue=parseInt(i)),ea.addRange("Pixelate",yr.filter,"pixelate",0,32,1,i=>yr.filter.pixelate=parseInt(i)),ea.addBool("Negative",yr.filter,"negative"),ea.addBool("Sepia",yr.filter,"sepia"),ea.addBool("Vintage",yr.filter,"vintage"),ea.addBool("Kodachrome",yr.filter,"kodachrome"),ea.addBool("Technicolor",yr.filter,"technicolor"),ea.addBool("Polaroid",yr.filter,"polaroid")}async function sx(){if(hs("Human: demo starting ..."),ox(),document.getElementById("log").innerText=`Human: version ${Ts.version} TensorFlow/JS: version ${Ts.tf.version_core}`,Cn.modelsPreload&&(Es("loading"),await Ts.load()),Cn.modelsWarmup){Es("initializing");const N=new ImageData(50,50);await Ts.detect(N)}Es("human: ready"),document.getElementById("loader").style.display="none",document.getElementById("play").style.display="block"}window.onload=sx;window.onresize=qp;
/*! *****************************************************************************
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0

THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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/**
 * @license
 * Copyright 2017 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2018 Google LLC
 *
 * Use of this source code is governed by an MIT-style
 * license that can be found in the LICENSE file or at
 * https://opensource.org/licenses/MIT.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2018 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * =============================================================================
 */
/**
 * @license
 * Copyright 2018 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2019 Google LLC
 *
 * Use of this source code is governed by an MIT-style
 * license that can be found in the LICENSE file or at
 * https://opensource.org/licenses/MIT.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * =============================================================================
 */
/**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2020 Google Inc. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2020 Google LLC
 *
 * Use of this source code is governed by an MIT-style
 * license that can be found in the LICENSE file or at
 * https://opensource.org/licenses/MIT.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the License);
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an AS IS BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/** @license See the LICENSE file. */
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