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To get the original bytes, call tensor.bytes().")}return e},t.prototype.bytes=function(){return M(this,void 0,void 0,function(){var e;return V(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($,Symbol.hasInstance,{value:function(t){return!!t&&t.data!=null&&t.dataSync!=null&&t.throwIfDisposed!=null}});var rt=function(t){we(e,t);function e(n,a,c,d){var y=t.call(this,n.shape,n.dtype,n.dataId,d)||this;return y.trainable=a,y.name=c,y}return e.prototype.assign=function(n){if(n.dtype!==this.dtype)throw new Error("dtype of the new value ("+n.dtype+") and "+("previous value ("+this.dtype+") must match"));if(!mt(n.shape,this.shape))throw new Error("shape of the new value ("+n.shape+") and "+("previous value ("+this.shape+") must match"));Ve().disposeTensor(this),this.dataId=n.dataId,Ve().incRef(this,null)},e.prototype.dispose=function(){Ve().disposeVariable(this),this.isDisposedInternal=!0},e}($);Object.defineProperty(rt,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 xt;(function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"})(xt||(xt={}));var ht;(function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"})(ht||(ht={}));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 zt={float32:_t,int32:xt,bool:ht,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 zt[t][e]}function Ut(t){return Pt(t,"int32")}function Tt(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 Xt(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:Tt,assertTypesMatch:Xt,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}(),qt=function(){function t(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Vt}return t.prototype.ready=function(){return M(this,void 0,void 0,function(){var e,n,a,c;return V(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 M(this,void 0,void 0,function(){var n,a,c,d,y;return V(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=gs(this.backendName);n.forEach(function(a){a.setupFunc!=null&&a.setupFunc(e.backendInstance)})},t.prototype.disposeRegisteredKernels=function(e){var n=this,a=gs(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 Te)&&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(F){return F.cast(y,v)},_,null,Y,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,F=[],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 me,Le=Ps(c,this.backendName),Me;if(Le!=null)me=function(){var Nt=_.backend.numDataIds();Me=Le.kernelFunc({inputs:n,attrs:d,backend:_.backend});var Ct=Array.isArray(Me)?Me:[Me];_.shouldCheckForMemLeaks()&&_.checkKernelForMemLeak(c,Nt,Ct);var Bt=Ct.map(function(yr){var Gr=yr.dataId,en=yr.shape,Zr=yr.dtype;return _.makeTensorFromDataId(Gr,en,Zr)});if(B){var ur=_.getTensorsForGradient(c,n,Bt);if(ur==null){v==null&&(v=[]);var nr=Bt.filter(function(yr,Gr){return v[Gr]});ur=(y||[]).slice().concat(nr)}F=_.saveTensorsForBackwardMode(ur)}return Bt};else{var He=function(Nt){if(!B)return;F=Nt.map(function(Ct){return _.keep(_.clone(Ct))})};me=function(){var Nt=_.backend.numDataIds();Me=_.tidy(function(){return e(_.backend,He)});var Ct=Array.isArray(Me)?Me:[Me];return _.shouldCheckForMemLeaks()&&_.checkKernelForMemLeak(c,Nt,Ct),Ct}}var lt;return this.scopedRun(function(){return _.state.kernelDepth++},function(){return _.state.kernelDepth--},function(){!_.ENV.getBool("DEBUG")&&!_.state.profiling?C=me():(lt=_.profiler.profileKernel(c,n,function(){return me()}),_.ENV.getBool("DEBUG")&&_.profiler.logKernelProfile(lt),C=lt.outputs)}),B&&this.addTapeNode(c,n,C,a,F,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(Nt){return n[Nt]!=null?n[Nt].shape:null}),outputShapes:C.map(function(Nt){return Nt.shape}),kernelTimeMs:lt.timeMs,extraInfo:lt.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=Bs(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,F){return y[F]});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"&&ta(e[0])&&(d=e.map(function(F){return Yi(F)}));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=ka(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 rt(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*ba(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 rt||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 M(this,void 0,void 0,function(){var n,a,c,d,y,v,_,C;return V(this,function(F){switch(F.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=F.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,F.label=2;case 2:return d<y.length?(v=y[d],_=v,[4,v.kernelTimeMs]):[3,6];case 3:return _.kernelTimeMs=F.sent(),C=v,[4,v.extraInfo];case 4:C.extraInfo=F.sent(),F.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=Bs(e);C!=null&&(c=C.gradFunc),c!=null&&(_.gradient=function(F){return F=F.map(function(B,U){if(B==null){var J=a[U],me=fa(J.size,J.dtype);return v.makeTensor(me,J.shape,J.dtype)}return B}),c(F.length>1?F:F[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 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Z=q[O],le=s[Z];if(Z==="name"&&typeof le=="string")T[Z]=le;else{var Ne=yt(Z);T[Ne]=Oo(le,Ne)}}return T}}function Mo(s,u){if(s==null)return null;if(typeof s=="string")return mt(s);if(typeof s=="number"||typeof s=="boolean")return s;if(s instanceof Array){for(var r=[],o=s.length,h=0;h<o;++h){var b=s[h];iu(u,h,b)?r.push(b):r.push(Mo(b,u))}return r}else{for(var T={},O=0,q=Object.keys(s);O<q.length;O++){var Z=q[O],le=s[Z],Ne=mt(Z);(Z==="name"||Z==="className")&&typeof le=="string"?T[Ne]=le:T[Ne]=Mo(le,Z)}return T}}var xs="2.7.0";function rs(s,u){if(s.dtype==null||s.dtype===u.dtype)return u;try{return i.cast(u,s.dtype)}catch(r){throw new w("The dtype of the feed ("+u.dtype+") can not be cast to the dtype "+("of the key '"+s.name+"' ("+s.dtype+")."))}}var ki=function(){function s(u){if(this.id2Value={},this.id2Mask={},this.name2Id={},u instanceof s)for(var r in u.id2Value)this.id2Value[r]=u.id2Value[r],r in u.id2Mask&&(this.id2Mask[r]=u.id2Mask[r]);else{if(u==null)return;for(var 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]=rs(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 Ca){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 Ca){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}(),zo={},Lo={};function Yi(s,u,r,o){for(var h=r==null?!1:r.training,b=Array.isArray(s),T=b?s:[s],O=T.map(function(Hr){return Hr.name}),q=[],Z=u.names(),le=0,Ne=O;le<Ne.length;le++){var Be=Ne[le];Z.indexOf(Be)!==-1?q.push(u.getValue(Be)):q.push(null)}o!=null&&(o.maxNumTensors=-Infinity,o.minNumTensors=Infinity);var je=O.join(",")+"|"+u.names().join(","),qe,vt;if(zo[je]==null){var pt=ns(T,u);qe=pt.sorted,vt=pt.recipientCounts,zo[je]=qe,Lo[je]=vt}qe=zo[je],vt={},h||Object.assign(vt,Lo[je]);for(var ct=new ki(u),dt=0;dt<qe.length;++dt){if(o!=null){var Ft=i.memory().numTensors;Ft>o.maxNumTensors&&(o.maxNumTensors=Ft),Ft<o.minNumTensors&&(o.minNumTensors=Ft)}var sr=qe[dt],Yt=sr.sourceLayer;if(Yt instanceof Ba)continue;for(var $t=[],vr=[],hr=[],Ir=!1,zr=0,kr=sr.inputs;zr<kr.length;zr++){var Sr=kr[zr],mn=ct.getValue(Sr),Xr=ct.getMask(Sr);$t.push(mn),vr.push(Xr),Xr!=null&&(Ir=!0),h||(vt[Sr.name]--,vt[Sr.name]===0&&!u.hasKey(Sr)&&O.indexOf(Sr.name)===-1&&!mn.isDisposed&&Sr.sourceLayer.stateful!==!0&&hr.push(mn))}Ir&&(r=r||{},r.mask=vr[0]);var er=Ze(Yt.apply($t,r)),Dn=null;Yt.supportsMasking&&(Dn=Yt.computeMask($t,vr));for(var Cn=E(sr),bn=Array.isArray(Cn)?Cn:[Cn],un=0;un<bn.length;++un){ct.hasKey(bn[un])||ct.add(bn[un],er[un],Array.isArray(Dn)?Dn[0]:Dn);var On=O.indexOf(bn[un].name);On!==-1&&(q[On]=er[un])}h||i.dispose(hr)}return ct.disposeMasks(),b?q:q[0]}function ns(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,O=s;T<O.length;T++){for(var q=O[T],Z=ue(q,u),le=Z.sorted,Ne=Z.recipientMap,Be=0,je=le;Be<je.length;Be++){var qe=je[Be];b.has(qe.name)||(r.push(qe),b.add(qe.name))}var vt=function(ct){o[ct]==null&&(o[ct]=new Set),Ne[ct].forEach(function(dt){return o[ct].add(dt)})};for(var pt in Ne)vt(pt)}return{sorted:r,recipientCounts:ae(o)}}function ae(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 O=T[b];r.add(O)}var q=[],Z=[];for(q.push(s);q.length>0;){var le=q[q.length-1];if(r.has(le.name)){q.pop();continue}var Ne=Z[Z.length-1]===q.length-1;if(le.inputs.length===0||Ne)q.pop(),o.push(le),r.add(le.name),Ne&&Z.pop();else{Z.push(q.length-1);for(var Be=0,je=le.inputs;Be<je.length;Be++){var qe=je[Be];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 D=function(s){M(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=Dr(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],jt(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(Vn){return Vn.name})));jt(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(Vn){return Vn.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 O=T[b],q=O.sourceLayer,Z=O.nodeIndex,le=O.tensorIndex;o.outputLayers.push(q),o.outputLayersNodeIndices.push(Z),o.outputLayersTensorIndices.push(le)}for(var Ne=0,Be=o.inputs;Ne<Be.length;Ne++){var O=Be[Ne],q=O.sourceLayer,Z=O.nodeIndex,le=O.tensorIndex;ut(Z===0,"input layer has >1 nodes"),ut(le===0,"input layer has >1 tensors"),o.inputLayers.push(q),o.inputLayersNodeIndices.push(Z),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 Ba))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,vt=o.outputLayers;qe<vt.length;qe++){var q=vt[qe];o.outputNames.push(q.name)}o.internalInputShapes=o.inputs.map(function(Vn){return Vn.shape}),o.internalOutputShapes=o.outputs.map(function(Vn){return Vn.shape});for(var pt={},ct={},dt={},Ft={},sr={},Yt=[],$t=function(Vn,Ns,gi,qo,Cs,Nh){(qo==null||Cs==null||Nh==null)&&(qo=Vn.sourceLayer,Cs=Vn.nodeIndex,Nh=Vn.tensorIndex);var Ci=qo.inboundNodes[Cs];if(gi.indexOf(Ci)!==-1)throw new ee("The tensor "+Vn.name+' at layer "'+qo.name+'" is part of a cycle.');if(Ns.indexOf(Ci)!==-1)return;o.containerNodes.add(u.nodeKey(qo,Cs)),qo.id in sr||(sr[qo.id]=Object.keys(sr).length),gi.indexOf(Ci)===-1&&gi.push(Ci);for(var rp=Ci.inboundLayers.length,Ks=0;Ks<rp;Ks++){var np=Ci.inputTensors[Ks],ap=Ci.inboundLayers[Ks],ip=Ci.nodeIndices[Ks],Ch=Ci.tensorIndices[Ks];$t(np,Ns,gi,ap,ip,Ch)}for(Ns.push(Ci);gi.indexOf(Ci)>=0;)gi.splice(gi.indexOf(Ci),1);Yt.push(Ci)},vr=[],hr=[],Ir=0,zr=o.outputs;Ir<zr.length;Ir++){var O=zr[Ir];$t(O,vr,hr)}for(var kr=Yt.slice().reverse(),Sr=0,mn=kr;Sr<mn.length;Sr++){var Xr=mn[Sr];ct[Xr.id]=Xr,Xr.id in pt||(pt[Xr.id]=0);var er=pt[Xr.id],Dn=dt[Xr.outboundLayer.id]==null?0:dt[Xr.outboundLayer.id];er=Math.max(er,Dn),dt[Xr.outboundLayer.id]=er,Ft[Xr.outboundLayer.id]=Xr.outboundLayer,pt[Xr.id]=er;for(var je=0;je<Xr.inboundLayers.length;je++){var Cn=Xr.inboundLayers[je],Z=Xr.nodeIndices[je],bn=Cn.inboundNodes[Z],un=pt[bn.id]==null?0:pt[bn.id];pt[bn.id]=Math.max(er+1,un),ct[bn.id]=bn}}var On={};for(var Hr in pt){var er=pt[Hr];er in On||(On[er]=[]),On[er].push(ct[Hr])}var ha={};for(var Ni in dt){var er=dt[Ni];er in ha||(ha[er]=[]),ha[er].push(Ft[Ni])}var Wi=Object.keys(ha).map(function(Vn){return parseInt(Vn,10)}).sort(rr);o.layers=[];for(var Kn=0,eo=Wi;Kn<eo.length;Kn++){var er=eo[Kn],Ui=ha[er];Ui.sort(function(Ns,gi){var qo=sr[Ns.id],Cs=sr[gi.id];return qo<Cs?-1:qo>Cs?1:0});for(var qs=0,Zu=Ui;qs<Zu.length;qs++){var q=Zu[qs];q instanceof u&&o.internalContainerRefs.push(q),o.layers.push(q)}}o.layersByDepth=ha,Wi=Object.keys(On).map(function(Vn){return parseInt(Vn,10)}).sort(rr);for(var al=o.inputs.slice(),kh=[],rh=0,Qu=Wi;rh<Qu.length;rh++)for(var er=Qu[rh],nh=0,ah=On[er];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 O=oh[ih];if(al.indexOf(O)===-1)throw new ee("Graph disconnected: cannot obtain value for tensor "+O+(' at layer "'+q.name+'". ')+"The following previous layers were accessed without "+("issue: "+kh))}for(var sh=0,Sh=Xr.outputTensors;sh<Sh.length;sh++){var O=Sh[sh];al.push(O)}kh.push(q.name)}}o.nodesByDepth=On;for(var uh=o.layers.map(function(Vn){return Vn.name}),ep=function(Vn){var Ns=uh.filter(function(gi){return gi===Vn}).length;if(Ns!==1)throw new ee('The name "'+Vn+'" is used '+Ns+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(uh))},ch=0,Ih=uh;ch<Ih.length;ch++){var tp=Ih[ch];ep(tp)}return o.outboundNodes=[],o.inboundNodes=[],new yi({outboundLayer:o,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:o.inputs,outputTensors:o.outputs,inputMasks:o.inputs.map(function(Vn){return null}),outputMasks:o.outputs.map(function(Vn){return null}),inputShapes:o.inputs.map(function(Vn){return Vn.shape}),outputShapes:o.outputs.map(function(Vn){return Vn.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,O=this.internalContainerRefs;T<O.length;T++){var q=O[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=[],O=0,q=this.layers;O<q.length;O++){var b=q[O];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,O=this.layers;T<O.length;T++)for(var q=O[T],Z=0,le=q.weights;Z<le.length;Z++){var Ne=le[Z];if(h[Ne.originalName]!=null)throw new w("Duplicate weight name: "+Ne.originalName);h[Ne.originalName]=Ne,b++}var Be=[];for(var je in r){var qe=je;if(h[je]==null){var vt=je.split("/"),pt=vt.slice(0,-2).concat([vt[vt.length-1]]);qe=pt.join("/")}if(h[qe]!=null)Be.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 ct=[];for(var dt in h)ct.push(dt);if(ct.length>0)throw new w(ct.length+" of "+b+" weights are not set: "+(""+ct))}zi(Be)},u.prototype.updatedConfig=function(){var r=this.getConfig(),o={};return o.className=this.getClassName(),o.config=r,o.kerasVersion="tfjs-layers "+xs,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=Ze(r);for(var b=new ki,T=0;T<h.inputs.length;++T)b.add(h.inputs[T],r[T]);return Yi(h.outputs,b,o)})},u.prototype.computeMask=function(r,o){var h=this;return i.tidy(function(){r=Ze(r);var b;return o==null?b=st(null,r.length):b=Ze(o),h.runInternalGraph(r,b)[1]})},u.prototype.computeOutputShape=function(r){var o=Sn(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],O=o[b],q=T.name+"_0_0";h[q]=O}var Z=Object.keys(this.nodesByDepth).map(function(mn){return parseInt(mn,10)}).sort(rr);if(Z.length>1)for(var le=0,Ne=Z;le<Ne.length;le++)for(var Be=Ne[le],je=this.nodesByDepth[Be],qe=0,vt=je;qe<vt.length;qe++){var pt=vt[qe],T=pt.outboundLayer;if(this.inputLayers.map(function(Xr){return Xr.id}).indexOf(T.id)!==-1)continue;for(var ct=[],dt=0;dt<pt.inboundLayers.length;dt++){var Ft=pt.inboundLayers[dt],sr=pt.nodeIndices[dt],Yt=pt.tensorIndices[dt],q=Ft.name+"_"+sr+"_"+Yt,$t=h[q];ct.push($t)}for(var vr=T.computeOutputShape(It(ct)),hr=Sn(vr),Ir=T.inboundNodes.indexOf(pt),dt=0;dt<hr.length;dt++){var q=T.name+"_"+Ir+"_"+dt;h[q]=hr[dt]}}for(var zr=[],kr=[],b=0;b<this.outputLayers.length;b++){var T=this.outputLayers[b],Ir=this.outputLayersNodeIndices[b],Yt=this.outputLayersTensorIndices[b],q=T.name+"_"+Ir+"_"+Yt;kr.push(q)}for(var b=0;b<kr.length;b++){var Sr=kr[b];ut(Sr in h),zr.push(h[Sr])}return It(zr)},u.prototype.runInternalGraph=function(r,o){o==null&&(o=st(null,r.length));for(var h={},b=0;b<this.inputs.length;++b){var T=this.inputs[b],O=r[b],q=o[b];h[T.id]=[O,q]}for(var Z=Object.keys(this.nodesByDepth).map(function(ha){return parseInt(ha,10)}).sort(rr),le=0,Ne=Z;le<Ne.length;le++)for(var Be=Ne[le],je=this.nodesByDepth[Be],qe=0,vt=je;qe<vt.length;qe++){for(var pt=vt[qe],ct=pt.outboundLayer,dt=pt.inputTensors,Ft=pt.outputTensors,sr=new Array,Yt=0,$t=dt;Yt<$t.length;Yt++){var T=$t[Yt];T.id in h&&sr.push(h[T.id])}if(sr.length===dt.length){var vr={},hr=void 0,Ir=void 0,zr=void 0,kr=void 0;if(pt.callArgs!=null&&(vr=pt.callArgs),sr.length===1){var Sr=sr[0],mn=Sr[0],Xr=Sr[1];vr.mask==null&&(vr.mask=Xr),zr=Ze(ct.call(mn,vr)),kr=Ze(ct.computeMask(mn,Xr)),hr=[mn],Ir=[Xr]}else hr=sr.map(function(ha){return ha[0]}),Ir=sr.map(function(ha){return ha[1]}),vr.mask==null&&(vr.mask=Ir),zr=Ze(ct.call(hr,vr)),kr=Ze(ct.computeMask(hr,Ir));if(ct.activityRegularizer)throw new xe("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var b=0;b<Ft.length;++b){var T=Ft[b],O=zr[b],q=kr[b];h[T.id]=[O,q]}}}for(var er=[],Dn=[],Cn=[],bn=0,un=this.outputs;bn<un.length;bn++){var T=un[bn];ut(T.id in h,"Could not compute output "+T.name+" : "+T.id);var On=h[T.id],Hr=On[0],q=On[1];Cn.push(Hr.shape),er.push(Hr),Dn.push(q)}return[er,Dn,Cn]},u.prototype.buildNodeConversionMap=function(r){for(var o={},h,b=0,T=this.layers;b<T.length;b++){var O=T[b];h=O instanceof u?1:0;for(var q=0;q<O.inboundNodes.length;q++){var Z=u.nodeKey(O,q);this.containerNodes.has(Z)&&(o[Z]=h,h+=1)}}return 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They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),qe={}}if(Be.inboundLayers.length>0){for(var vt=[],pt=0;pt<Be.inboundLayers.length;pt++){var ct=Be.inboundLayers[pt],dt=Be.nodeIndices[pt],Ft=Be.tensorIndices[pt],sr=u.nodeKey(ct,dt),Yt=o[sr];Yt==null&&(Yt=0),vt.push([ct.name,Yt,Ft,qe])}le.push(vt)}}}var $t={};$t.name=O.name,$t.className=q,$t.config=Z,$t.inboundNodes=le,h.push($t)}r.layers=h;for(var vr=[],pt=0;pt<this.inputLayers.length;pt++){var O=this.inputLayers[pt],dt=this.inputLayersNodeIndices[pt],je=u.nodeKey(O,dt);if(!this.containerNodes.has(je))continue;var Yt=o[je];Yt==null&&(Yt=0);var Ft=this.inputLayersTensorIndices[pt];vr.push([O.name,Yt,Ft])}r.inputLayers=vr;for(var hr=[],pt=0;pt<this.outputLayers.length;pt++){var O=this.outputLayers[pt],dt=this.outputLayersNodeIndices[pt],je=u.nodeKey(O,dt);if(!this.containerNodes.has(je))continue;var Yt=o[je];Yt==null&&(Yt=0);var Ft=this.outputLayersTensorIndices[pt];hr.push([O.name,Yt,Ft])}return r.outputLayers=hr,r},u.fromConfig=function(r,o,h,b){b===void 0&&(b=!1);var T={},O={};function q(un,On){un.name in O?O[un.name].push(On):O[un.name]=[On]}function Z(un,On){for(var Hr=[],ha,Ni=0,Wi=On;Ni<Wi.length;Ni++){var Kn=Wi[Ni],eo=Kn[0],Ui=Kn[1],qs=Kn[2];if(ha=Kn[3]==null?{}:Kn[3],!(eo in T)){q(un,On);return}var Zu=T[eo];if(Zu.inboundNodes.length<=Ui){q(un,On);return}var al=Zu.inboundNodes[Ui];Hr.push(al.outputTensors[qs])}Hr.length>0&&un.apply(It(Hr),ha)}function le(un){var On=un.name,Hr=ca(un,o.customObjects!=null?o.customObjects:{});Hr.setFastWeightInitDuringBuild(b),T[On]=Hr;var ha=un.inboundNodes;ha.forEach(function(Ni){if(!(Ni instanceof Array))throw new w("Corrupted configuration, expected array for nodeData: "+Ni);q(Hr,Ni)})}for(var Ne=o.name,Be=o.layers,je=0,qe=Be;je<qe.length;je++){var vt=qe[je];le(vt)}for(;!jr(O);)for(var pt=0,ct=Be;pt<ct.length;pt++){var vt=ct[pt],dt=T[vt.name];if(dt.name in O){var Ft=O[dt.name];delete O[dt.name];for(var sr=0,Yt=Ft;sr<Yt.length;sr++){var $t=Yt[sr];Z(dt,$t)}}}for(var vr=[],hr=[],Ir=o.inputLayers,zr=0,kr=Ir;zr<kr.length;zr++){var vt=kr[zr],Sr=vt[0],mn=vt[1],Xr=vt[2];ut(Sr in T);var dt=T[Sr],er=dt.inboundNodes[mn].outputTensors;vr.push(er[Xr])}for(var Dn=o.outputLayers,Cn=0,bn=Dn;Cn<bn.length;Cn++){var vt=bn[Cn],Sr=vt[0],mn=vt[1],Xr=vt[2];ut(Sr in T);var dt=T[Sr],er=dt.inboundNodes[mn].outputTensors;hr.push(er[Xr])}return new r({inputs:vr,outputs:hr,name:Ne})},Object.defineProperty(u.prototype,"stateful",{get:function(){if(this._stateful)throw new w("Container instance unexpectedly has _stateful = true. 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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)}):(O=ve(r.validationData),b=O.xs,T=O.ys)),q=s.makeTrainFunction(),Z=s.getDedupedMetricsNames(),le=void 0,h?le=Z.slice().concat(Z.map(function(ha){return"val_"+ha})):le=Z.slice(),Ne=oo(r.callbacks,r.yieldEvery),Be=r.verbose==null?1:r.verbose,je=Br(Ne,Be,r.epochs,null,null,Ae(u,r),null,h,le),qe=je.callbackList,vt=je.history,qe.setModel(s),s.history=vt,[4,qe.onTrainBegin()];case 2:return Hr.sent(),s.stopTraining_=!1,pt=r.initialEpoch==null?0:r.initialEpoch,[4,u.iterator()];case 3:ct=Hr.sent(),Hr.label=4;case 4:return pt<r.epochs?(dt={},[4,qe.onEpochBegin(pt)]):[3,23];case 5:return Hr.sent(),Ft=0,sr=0,o?[3,7]:[4,u.iterator()];case 6:ct=Hr.sent(),Hr.label=7;case 7:return(o?Ft<r.batchesPerEpoch:!0)?[4,ct.next()]:[3,21];case 8:return Yt=Hr.sent(),o&&Yt.done?(console.warn("You provided `batchesPerEpoch` as "+(r.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(Ft+" 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]):Yt.value!=null?($t=ce(s,Yt.value),vr=$t.xs,hr=$t.ys,Ir={},Ir.batch=sr,Ir.size=vr[0].shape[0],[4,qe.onBatchBegin(sr,Ir)]):[3,15];case 9:if(Hr.sent(),zr=[],!(r.classWeight!=null))return[3,13];kr=H(r.classWeight,s.outputNames),Sr=0,Hr.label=10;case 10:return Sr<kr.length?(Xr=(mn=zr).push,[4,se(hr[Sr],null,kr[Sr])]):[3,13];case 11:Xr.apply(mn,[Hr.sent()]),Hr.label=12;case 12:return++Sr,[3,10];case 13:for(er=vr.concat(hr).concat(zr),Dn=q(er),i.dispose(er),Sr=0;Sr<Z.length;++Sr)Cn=Z[Sr],bn=Dn[Sr],Ir[Cn]=bn,i.keep(bn);return[4,qe.onBatchEnd(sr,Ir)];case 14:Hr.sent(),Li(Ir),sr++,Ft++,Hr.label=15;case 15:return(o?Ft>=r.batchesPerEpoch:Yt.done)?h?(un=void 0,Oe(r.validationData)?(On=Ze,[4,s.evaluateDataset(r.validationData,{batches:r.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return un=On.apply(void 0,[Hr.sent()]),[3,18];case 17:un=Ze(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]]=un[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 Ae(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 De(s){return typeof s.next=="function"}function Ve(s,u,r){return de(this,void 0,void 0,function(){var o,h,b,T,O,q,Z,le,Ne,Be,je;return X(this,function(qe){switch(qe.label){case 0:if(r=r||{},o=r.batches!=null,h=s.testFunction,b=[],r.verbose>0)throw new xe("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))}),De(u)?(O=u,[3,3]):[3,1];case 1:return[4,u.iterator()];case 2:O=qe.sent(),qe.label=3;case 3:T=O,q=0,Z=0,le=function(){var vt;return X(this,function(pt){switch(pt.label){case 0:return[4,T.next()];case 1:return vt=pt.sent(),b=i.tidy(function(){if(vt.value){var ct=ce(s,vt.value),dt=ct.xs,Ft=ct.ys,sr=dt.concat(Ft),Yt=i.tidy(function(){return h(sr)});if(i.dispose(sr),Z===0)for(var $t=0;$t<Yt.length;++$t)b.push(i.scalar(0));for(var vr=sr[0].shape[0],hr=function(zr){var kr=Yt[zr],Sr=b[zr];b[zr]=i.tidy(function(){return i.add(b[zr],i.mul(vr,kr))}),Z>0&&i.dispose(Sr)},$t=0;$t<Yt.length;++$t)hr($t);i.dispose(Yt),q+=vr,++Z}return b}),vt.done?(o&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+r.batches+" batches). 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Use LayersModel.compile(modelCompileArgs).");for(var T=[],O=0;O<this.feedOutputShapes.length;++O){var q=this.feedOutputShapes[O],Z=this.feedLossFns[O];Z===To?T.push(q.slice(0,q.length-1).concat([1])):T.push(q)}if(r=Ut(r,this.feedInputNames,this.feedInputShapes,!1,"input"),o=Ut(o,this.feedOutputNames,T,!1,"target"),Tt(r,o),Xt(o,this.feedLossFns,this.feedOutputShapes),this.stateful&&b!=null&&b>0&&r[0].shape[0]%b!==0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(b+". Found: "+r[0].shape[0]+" sample(s)."));return[r,o]},u.prototype.standardizeUserData=function(r,o,h,b,T,O){return T===void 0&&(T=!0),de(this,void 0,void 0,function(){var q,Z,le,Ne,Be,je,qe,vt;return X(this,function(pt){switch(pt.label){case 0:if(q=this.standardizeUserDataXY(r,o,T,O),Z=q[0],le=q[1],h!=null)throw new Error("sample weight is not supported yet.");if(Ne=null,!(b!=null))return[3,4];Be=H(b,this.outputNames),Ne=[],je=0,pt.label=1;case 1:return je<Be.length?(vt=(qe=Ne).push,[4,se(le[je],null,Be[je])]):[3,4];case 2:vt.apply(qe,[pt.sent()]),pt.label=3;case 3:return++je,[3,1];case 4:return[2,[Z,le,Ne]]}})})},u.prototype.testLoop=function(r,o,h,b,T){var O=this;return b===void 0&&(b=0),i.tidy(function(){var q=O.checkNumSamples(o,h,T,"steps"),Z=[];if(b>0)throw new xe("Verbose mode is not implemented yet.");if(T!=null)throw new xe("steps mode in testLoop() is not implemented yet");for(var le=$(q,h),Ne=i.tensor1d(ln(0,q)),Be=0;Be<le.length;++Be){var je=le[Be][0],qe=le[Be][1],vt=Qn(Ne,je,qe-je),pt=it(o,vt),ct=r(pt);if(Be===0)for(var dt=0;dt<ct.length;++dt)Z.push(i.scalar(0));for(var dt=0;dt<ct.length;++dt){var Ft=ct[dt];Z[dt]=i.add(Z[dt],i.mul(qe-je,Ft))}}for(var dt=0;dt<Z.length;++dt)Z[dt]=i.div(Z[dt],q);return Z})},u.prototype.getDedupedMetricsNames=function(){for(var r=this.metricsNames,o=[],h=0;h<r.length;++h){var b=r[h],T=b;if(Kt(r,b)>1){var O=Kt(r.slice(0,h),b);T+="_"+O}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),O=o.slice(r.inputs.length+r.outputs.length,r.inputs.length+r.outputs.length*2),q=[],Z=function(){for(var je=[],qe=0;qe<r.inputs.length;++qe)je.push({key:r.inputs[qe],value:b[qe]});for(var vt=new ki(je),pt=Yi(r.outputs,vt,{training:!0}),ct,qe=0;qe<r.lossFunctions.length;++qe){var dt=r.lossFunctions[qe],Ft=dt(T[qe],pt[qe]);O[qe]!=null&&(Ft=te(Ft,O[qe]));var sr=i.mean(Ft);h.push(sr),qe===0?ct=Ft:ct=i.add(ct,Ft)}for(var qe=0;qe<r.metricsTensors.length;++qe){var Yt=void 0;if(r.outputs.length>1&&qe<r.outputs.length)Yt=h[qe];else{var $t=r.metricsTensors[qe][0],vr=r.metricsTensors[qe][1];Yt=i.mean($t(T[vr],pt[vr]))}i.keep(Yt),q.push(Yt)}return ct=i.mean(ct),r.calculateLosses().forEach(function(hr){ct=i.add(ct,hr)}),ct},le=r.collectedTrainableWeights.map(function(je){return je.read()}),Ne=!0,Be=r.optimizer_.minimize(Z,Ne,le);return[Be].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),O=o.slice(r.inputs.length,r.inputs.length+r.outputs.length),q=[],Z=0;Z<r.inputs.length;++Z)q.push({key:r.inputs[Z],value:T[Z]});for(var le=new ki(q),Ne=Yi(r.outputs,le),Z=0;Z<r.lossFunctions.length;++Z){var Be=r.lossFunctions[Z],je=i.mean(Be(O[Z],Ne[Z]));Z===0?b=je:b=i.add(b,je),h.push(b)}for(var Z=0;Z<r.metricsTensors.length;++Z){var qe=r.metricsTensors[Z][0],vt=r.metricsTensors[Z][1],pt=i.mean(qe(O[vt],Ne[vt]));h.push(pt)}return h})}},u.prototype.fit=function(r,o,h){return h===void 0&&(h={}),de(this,void 0,void 0,function(){return X(this,function(b){return[2,xt(this,r,o,h)]})})},u.prototype.fitDataset=function(r,o){return de(this,void 0,void 0,function(){return X(this,function(h){return[2,ge(this,r,o)]})})},u.prototype.trainOnBatch=function(r,o){return de(this,void 0,void 0,function(){var h,b,T,O,q,Z,le,Ne,Be,je;return X(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],O=this.makeTrainFunction(),q=O(b.concat(T)),Z=[],le=0,Ne=q,qe.label=2;case 2:return le<Ne.length?(Be=Ne[le],[4,Be.data()]):[3,5];case 3:je=qe.sent(),Z.push(je[0]),qe.label=4;case 4:return le++,[3,2];case 5:return i.dispose(q),[2,It(Z)]}})})},u.prototype.getNamedWeights=function(r){for(var o=[],h=r!=null&&r.trainableOnly,b=h?this.trainableWeights:this.weights,T=this.getWeights(h),O=0;O<b.length;++O){if(h&&!b[O].trainable)continue;o.push({name:b[O].originalName,tensor:T[O]})}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=mt(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 mt(Ne)})}else{var T=Object.keys(this.loss);r={};for(var O=this.loss,q=0,Z=T;q<Z.length;q++){var le=Z[q];if(typeof O[le]=="string")r[le]=mt(O[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[mt(Do(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(h){return mt(Do(h))});var r={};for(var o in this.metrics)r[o]=mt(Do(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:O}),b==="channelsFirst"&&(q=i.transpose(q,[0,3,1,2])),q})}function bs(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 O=uo(s,b);if(h==="causal")throw new xe("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return O=i.conv3d(O,u,o,h==="same"?"same":"valid","NDHWC",T),r!=null&&(O=re(O,r)),b==="channelsFirst"&&(O=i.transpose(O,[0,4,1,2,3])),O})}var Nu=function(s){M(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,ar(h.rank,"rank"),h.rank!==1&&h.rank!==2&&h.rank!==3)throw new xe("Convolution layer for rank other than 1, 2, or 3 ("+h.rank+") is not implemented yet.");if(h.kernelSize=_s(o.kernelSize,r,"kernelSize"),h.strides=_s(o.strides==null?1:o.strides,r,"strides"),h.padding=o.padding==null?"valid":o.padding,xn(h.padding),h.dataFormat=o.dataFormat==null?"channelsLast":o.dataFormat,on(h.dataFormat),h.activation=_a(o.activation),h.useBias=o.useBias==null?!0:o.useBias,h.biasInitializer=x(o.biasInitializer||h.DEFAULT_BIAS_INITIALIZER),h.biasConstraint=fn(o.biasConstraint),h.biasRegularizer=Fn(o.biasRegularizer),h.activityRegularizer=Fn(o.activityRegularizer),h.dilationRate=_s(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 Rn({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=cr(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,O=T[0],q,Z;h.dataFormat==="channelsFirst"?(q=2,Z=3):(q=1,Z=2);var le=T[q],Ne=T[Z],Be=h.kernelSize[0],je=h.kernelSize[1],qe=h.strides[0],vt=h.strides[1],pt=ws(le,qe,Be,h.padding),ct=ws(Ne,vt,je,h.padding),dt=[O,pt,ct,h.filters];h.dataFormat!=="channelsLast"&&(b=i.transpose(b,[0,2,3,1]));var Ft=i.conv2dTranspose(b,h.kernel.read(),dt,h.strides,h.padding);return h.dataFormat!=="channelsLast"&&(Ft=i.transpose(Ft,[0,3,1,2])),h.bias!=null&&(Ft=re(Ft,h.bias.read(),h.dataFormat)),h.activation!=null&&(Ft=h.activation.apply(Ft)),Ft})},u.prototype.computeOutputShape=function(r){r=$r(r);var o=r.slice(),h,b,T;this.dataFormat==="channelsFirst"?(h=1,b=2,T=3):(h=3,b=1,T=2);var O=this.kernelSize[0],q=this.kernelSize[1],Z=this.strides[0],le=this.strides[1];return o[h]=this.filters,o[b]=ws(o[b],Z,O,this.padding),o[T]=ws(o[T],le,q,this.padding),o},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this);return delete r.dilationRate,r},u.className="Conv2DTranspose",u}(Cu);i.serialization.registerClass(co);var ks=function(s){M(u,s);function u(r,o){var h=s.call(this,r,o)||this;if(h.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",h.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",h.depthwiseKernel=null,h.pointwiseKernel=null,o.filters==null)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(o.kernelInitializer!=null||o.kernelRegularizer!=null||o.kernelConstraint!=null)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(o.padding!=null&&o.padding!=="same"&&o.padding!=="valid")throw new w("SeparableConv"+h.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(o.padding)));return h.depthMultiplier=o.depthMultiplier==null?1:o.depthMultiplier,h.depthwiseInitializer=x(o.depthwiseInitializer||h.DEFAULT_DEPTHWISE_INITIALIZER),h.depthwiseRegularizer=Fn(o.depthwiseRegularizer),h.depthwiseConstraint=fn(o.depthwiseConstraint),h.pointwiseInitializer=x(o.depthwiseInitializer||h.DEFAULT_POINTWISE_INITIALIZER),h.pointwiseRegularizer=Fn(o.pointwiseRegularizer),h.pointwiseConstraint=fn(o.pointwiseConstraint),h}return u.prototype.build=function(r){var o;if(r=$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]),O=[],q=0;q<this.rank;++q)O.push(1);O.push(b*this.depthMultiplier,this.filters);var Z=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",T,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,Z,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",O,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,Z,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,Z,this.biasConstraint):this.bias=null,this.inputSpec=[new Rn({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=cr(r);var b;if(h.rank===1)throw new xe("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=re(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=cn(this.depthwiseConstraint),r.pointwiseConstraint=cn(this.pointwiseConstraint),r},u.className="SeparableConv",u}(uu),Tu=function(s){M(u,s);function u(r){return s.call(this,2,r)||this}return u.className="SeparableConv2D",u}(ks);i.serialization.registerClass(Tu);var pc=function(s){M(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}(uu);i.serialization.registerClass(pc);var dc=function(s){M(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=cr(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){M(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=cr(r),T=b.shape;if(h.dataFormat==="channelsFirst"){b=i.transpose(b,[0,2,3,1]);var O=h.size[0]*T[2],q=h.size[1]*T[3],Z=b.resizeNearestNeighbor([O,q]);return i.transpose(Z,[0,3,1,2])}else{var O=h.size[0]*T[1],q=h.size[1]*T[2];return b.resizeNearestNeighbor([O,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 Eu=function(s){M(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=fn(r.depthwiseConstraint),o.depthwiseRegularizer=Fn(r.depthwiseRegularizer),o}return u.prototype.build=function(r){if(r=$r(r),r.length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(r)+"."));var o=this.dataFormat==="channelsFirst"?1:3;if(r[o]==null||r[o]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+r[o]+")."));var h=r[o],b=[this.kernelSize[0],this.kernelSize[1],h,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",b,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[h*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){r=cr(r);var b=vl(r,h.depthwiseKernel.read(),h.strides,h.padding,h.dataFormat,null);return h.useBias&&(b=re(b,h.bias.read(),h.dataFormat)),h.activation!=null&&(b=h.activation.apply(b)),b})},u.prototype.computeOutputShape=function(r){r=$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=Si(o,this.kernelSize[0],this.padding,this.strides[0]),O=Si(h,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[r[0],b,T,O]:[r[0],T,O,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=cn(this.depthwiseRegularizer),r},u.className="DepthwiseConv2D",u}(Nu);i.serialization.registerClass(Eu);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,O){return o===void 0&&(o=!1),T===void 0&&(T=!1),O===void 0&&(O=!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 Z=[1,0].concat(ln(2,q));if(u=i.transpose(u,Z),b!=null)throw new xe("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,Z)),o&&(u=i.reverse(u,0),h!=null&&(h=i.reverse(h,0)));var le=[],Ne,Be=r,je=u.shape[0],qe=i.unstack(u),vt;h!=null&&(vt=i.unstack(h));for(var pt=function(sr){var Yt=qe[sr],$t=i.tidy(function(){return s(Yt,Be)});if(h==null)Ne=$t[0],Be=$t[1];else{var vr=i.tidy(function(){var hr=vt[sr],Ir=i.onesLike(hr).sub(hr),zr=$t[0].mul(hr).add(Be[0].mul(Ir)),kr=Be.map(function(Sr,mn){return $t[1][mn].mul(hr).add(Sr.mul(Ir))});return{output:zr,newStates:kr}});Ne=vr.output,Be=vr.newStates}O&&le.push(Ne)},ct=0;ct<je;++ct)pt(ct);var dt;if(O){var Ft=1;dt=i.stack(le,Ft)}return[Ne,dt,Be]})}var Ii=function(s){M(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 os({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 Rn({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){Na(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=[],O=0,q=o;O<q.length;O++){var Z=q[O];T.push([r[0],Z])}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(O){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 xe("Constants support is not implemented in RNN yet.");Na(r)&&(r=r[0]),r=r;var o=this.stateful?r[0]:null,h=r.slice(2);this.inputSpec[0]=new Rn({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(O){return O.shape[O.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(O){return new Rn({shape:[null,O]})});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 ye("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 O=r[T],q=Array.isArray(h.cell.stateSize)?h.cell.stateSize[T]:h.cell.stateSize,Z=[b,q];if(!i.util.arraysEqual(O.shape,Z))throw new w("State "+T+" is incompatible with layer "+h.name+": "+("expected shape="+Z+", received shape="+O.shape));h.states_[T]=O}}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 O=[],q=[];if(h!=null){o.initialState=h,O=O.concat(h),this.stateSpec=[];for(var Z=0,le=h;Z<le.length;Z++){var Ne=le[Z];this.stateSpec.push(new Rn({shape:Ne.shape}))}q=q.concat(this.stateSpec)}b!=null&&(o.constants=b,O=O.concat(b),this.numConstants=b.length);var Be=O[0]instanceof Ca;if(Be){var je=[r].concat(O),qe=this.inputSpec.concat(q),vt=this.inputSpec;this.inputSpec=qe;var pt=s.prototype.apply.call(this,je,o);return this.inputSpec=vt,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,O=o==null?null:o.initialState;r=cr(r),O==null&&(h.stateful?O=h.states_:O=h.getInitialState(r));var q=Array.isArray(h.cell.stateSize)?h.cell.stateSize.length:1;if(O.length!==q)throw new w("RNN Layer has "+q+" state(s) but was passed "+(O.length+" initial state(s)."));h.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var Z={training:T},le=function(pt,ct){var dt=h.cell.call([pt].concat(ct),Z);return[dt[0],dt.slice(1)]},Ne=yc(le,r,O,h.goBackwards,b,null,h.unroll,h.returnSequences),Be=Ne[0],je=Ne[1],qe=Ne[2];h.stateful&&h.resetStates(qe,T);var vt=h.returnSequences?je:Be;return h.returnState?[vt].concat(qe):vt})},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?ya(h,[1,b]):h}):o.cell.stateSize>1?[ya(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}),V({},h,r,o)},u.fromConfig=function(r,o,h){h===void 0&&(h={});var b=o.cell,T=ca(b,h);return new r(Object.assign(o,{cell:T}))},u.className="RNN",u}(qr);i.serialization.registerClass(Ii);var is=function(s){M(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u}(qr),Ss=function(s){M(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,ar(o.units,"units"),o.activation=_a(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=fn(r.kernelConstraint),o.recurrentConstraint=fn(r.recurrentConstraint),o.biasConstraint=fn(r.biasConstraint),o.dropout=fi([1,ja([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,ja([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 O,q=h.dropoutMask,Z=h.recurrentDropoutMask;q!=null?O=pe(i.mul(r,q),h.kernel.read()):O=pe(r,h.kernel.read()),h.bias!=null&&(O=re(O,h.bias.read())),Z!=null&&(b=i.mul(b,Z));var le=i.add(O,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:$a(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:cn(this.kernelConstraint),recurrentConstraint:cn(this.recurrentConstraint),biasConstraint:cn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return V({},r,o)},u.className="SimpleRNNCell",u}(is);i.serialization.registerClass(Ss);var vc=function(s){M(u,s);function u(r){var o=this;return r.cell=new Ss(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,O=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:O})})},u.fromConfig=function(r,o){return new r(o)},u.className="SimpleRNN",u}(Ii);i.serialization.registerClass(vc);var Wo=function(s){M(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,ar(o.units,"units"),o.activation=_a(r.activation===void 0?o.DEFAULT_ACTIVATION:r.activation),o.recurrentActivation=_a(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=fn(r.kernelConstraint),o.recurrentConstraint=fn(r.recurrentConstraint),o.biasConstraint=fn(r.biasConstraint),o.dropout=fi([1,ja([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,ja([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 O=h.dropoutMask,q=h.recurrentDropoutMask,Z,le,Ne;0<h.dropout&&h.dropout<1&&(r=i.mul(r,O[0]));var Be=pe(r,h.kernel.read());h.useBias&&(Be=re(Be,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),vt=qe[0],pt=qe[1],ct=pe(T,vt),dt=i.split(Be,3,Be.rank-1),Ft=dt[0],sr=dt[1],Yt=dt[2],$t=i.split(ct,2,ct.rank-1),vr=$t[0],hr=$t[1];Z=h.recurrentActivation.apply(i.add(Ft,vr)),le=h.recurrentActivation.apply(i.add(sr,hr));var Ir=pe(i.mul(le,T),pt);Ne=h.activation.apply(i.add(Yt,Ir));var zr=i.add(i.mul(Z,T),i.mul(i.add(1,i.neg(Z)),Ne));return[zr,zr]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={units:this.units,activation:$a(this.activation),recurrentActivation:$a(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:cn(this.kernelConstraint),recurrentConstraint:cn(this.recurrentConstraint),biasConstraint:cn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return V({},r,o)},u.className="GRUCell",u}(is);i.serialization.registerClass(Wo);var lo=function(s){M(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,O=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:O})})},u.fromConfig=function(r,o){return o.implmentation===0&&(o.implementation=1),new r(o)},u.className="GRU",u}(Ii);i.serialization.registerClass(lo);var Uo=function(s){M(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,ar(o.units,"units"),o.activation=_a(r.activation===void 0?o.DEFAULT_ACTIVATION:r.activation),o.recurrentActivation=_a(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=fn(r.kernelConstraint),o.recurrentConstraint=fn(r.recurrentConstraint),o.biasConstraint=fn(r.biasConstraint),o.dropout=fi([1,ja([0,r.dropout==null?0:r.dropout])]),o.recurrentDropout=fi([1,ja([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,O=this.units;b=new(o=function(q){M(Z,q);function Z(){return q!==null&&q.apply(this,arguments)||this}return Z.prototype.apply=function(le,Ne){var Be=T.apply([O]),je=new va().apply([O]),qe=T.apply([O*2]);return Di(Di(Be,je),qe)},Z}(or),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],O=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,Z=h.recurrentDropoutMask,le,Ne,Be,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,Z[0])),qe=i.add(qe,pe(T,h.recurrentKernel.read())),h.useBias&&(qe=re(qe,h.bias.read()));var vt=i.split(qe,4,qe.rank-1),pt=vt[0],ct=vt[1],dt=vt[2],Ft=vt[3];le=h.recurrentActivation.apply(pt),Ne=h.recurrentActivation.apply(ct),Be=i.add(i.mul(Ne,O),i.mul(le,h.activation.apply(dt))),je=h.recurrentActivation.apply(Ft);var sr=i.mul(je,h.activation.apply(Be));return[sr,sr,Be]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o={units:this.units,activation:$a(this.activation),recurrentActivation:$a(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:cn(this.kernelConstraint),recurrentConstraint:cn(this.recurrentConstraint),biasConstraint:cn(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return V({},r,o)},u.className="LSTMCell",u}(is);i.serialization.registerClass(Uo);var cu=function(s){M(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,O=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:O})})},u.fromConfig=function(r,o){return o.implmentation===0&&(o.implementation=1),new r(o)},u.className="LSTM",u}(Ii);i.serialization.registerClass(cu);var os=function(s){M(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=[],O=0,q=h.cells.slice().reverse();O<q.length;O++){var Z=q[O];Array.isArray(Z.stateSize)?T.push(b.splice(0,Z.stateSize.length)):T.push(b.splice(0,1))}T.reverse();for(var le=[],Ne,Be=0;Be<h.cells.length;++Be){var Z=h.cells[Be];b=T[Be],Be===0?Ne=[r[0]].concat(b):Ne=[Ne[0]].concat(b),Ne=Z.call(Ne,o),le.push(Ne.slice(1))}b=[];for(var je=0,qe=le.slice().reverse();je<qe.length;je++){var vt=qe[je];b.push.apply(b,vt)}return[Ne[0]].concat(b)})},u.prototype.build=function(r){Na(r)&&(r=r[0]),r=r;var o;this.cells.forEach(function(h,b){na("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 V({},r,b)},u.fromConfig=function(r,o,h){h===void 0&&(h={});for(var b=[],T=0,O=o.cells;T<O.length;T++){var q=O[T];b.push(ca(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=[],O=0,q=this.cells;O<q.length;O++){var b=q[O];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 ii(r)},u.prototype.setWeights=function(r){for(var o=[],h=0,b=this.cells;h<b.length;h++)for(var T=b[h],O=T.weights.length,q=r.splice(O),Z=0;Z<T.weights.length;++Z)o.push([T.weights[Z],q[Z]]);zi(o)},u.className="StackedRNNCells",u}(is);i.serialization.registerClass(os);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,O=function(){return tt(u(),r)},q=function(){return Ye(O,u,h)};if(!T||T<=1)return i.keep(q().clone());var Z=Array(T).fill(void 0).map(q);return Z.map(function(le){return i.keep(le.clone())})}var gl=function(s){M(u,s);function u(){return s!==null&&s.apply(this,arguments)||this}return u}(is),xl=function(s){M(u,s);function u(r){var o=this;if(r.unroll)throw new xe("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(r.cell))throw new xe("It is not possible at the moment to stack convolutional cells.");return o=s.call(this,r)||this,o.inputSpec=[new Rn({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,O=o==null?null:o.initialState;return s.prototype.call.call(h,r,{mask:b,training:T,initialState:O})})},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),O=[T[0]].concat(T.slice(2)),q=i.zeros(O);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 ye("Cannot call resetStates() on an RNN Layer that is not stateful.");var b=h.inputSpec[0].shape,T=h.computeSingleOutputShape(b),O=[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(O)}):h.states_=[i.zeros(O)];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(O)}):h.states_[0]=i.zeros(O);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 Z=0;Z<h.states_.length;++Z){var le=r[Z],Ne=O;if(!i.util.arraysEqual(le.shape,Ne))throw new w("State "+Z+" is incompatible with layer "+h.name+": "+("expected shape="+Ne+", received shape="+le.shape));h.states_[Z]=le}}h.states_=h.states_.map(function(Be){return i.keep(Be.clone())})})},u.prototype.computeSingleOutputShape=function(r){var o=this.cell,h=o.dataFormat,b=o.filters,T=o.kernelSize,O=o.padding,q=o.strides,Z=o.dilationRate,le=h==="channelsFirst",Ne=r[le?3:2],Be=r[le?4:3],je=Si(Ne,T[0],O,q[0],Z[0]),qe=Si(Be,T[1],O,q[1],Z[1]),vt=r.slice(0,2).concat(le?[b,je,qe]:[je,qe,b]);return vt},u.className="ConvRNN2D",u}(Ii),Ru=function(s){M(u,s);function u(r){var o=this,h=r.filters,b=r.kernelSize,T=r.strides,O=r.padding,q=r.dataFormat,Z=r.dilationRate;return o=s.call(this,V({},r,{units:h}))||this,o.filters=h,ar(o.filters,"filters"),o.kernelSize=_s(b,2,"kernelSize"),o.kernelSize.forEach(function(le){return ar(le,"kernelSize")}),o.strides=_s(T||1,2,"strides"),o.strides.forEach(function(le){return ar(le,"strides")}),o.padding=O||"valid",xn(o.padding),o.dataFormat=q||"channelsLast",on(o.dataFormat),o.dilationRate=_s(Z||1,2,"dilationRate"),o.dilationRate.forEach(function(le){return ar(le,"dilationRate")}),o}return u.prototype.build=function(r){var o;r=$r(r);var h=this.dataFormat==="channelsFirst"?1:r.length-1;if(r[h]==null)throw new w("The channel dimension of the input should be defined. "+("Found "+r[h]));var b=r[h],T=4,O=this.kernelSize.concat([b,this.filters*T]);this.kernel=this.addWeight("kernel",O,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var q=this.kernelSize.concat([this.filters,this.filters*T]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",q,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var Z=void 0;if(this.unitForgetBias){var le=this.biasInitializer,Ne=this.filters;Z=new(o=function(Be){M(je,Be);function je(){return Be!==null&&Be.apply(this,arguments)||this}return je.prototype.apply=function(qe,vt){var pt=le.apply([Ne]),ct=i.ones([Ne]),dt=le.apply([Ne*2]);return qi([pt,ct,dt])},je}(or),o.className="CustomInit",o)}else Z=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*T],null,Z,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r.length!==3)throw new w("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(r.length+"."));var b=o.training||!1,T=r[0],O=r[1],q=r[2],Z=4;0<h.dropout&&h.dropout<1&&h.dropoutMask==null&&(h.dropoutMask=Vo({ones:function(){return i.onesLike(T)},rate:h.dropout,training:b,count:Z}));var le=h.dropoutMask,Ne=function(Kn,eo,Ui){return!eo||!eo[Ui]?Kn:i.mul(eo[Ui],Kn)},Be=Ne(T,le,0),je=Ne(T,le,1),qe=Ne(T,le,2),vt=Ne(T,le,3);0<h.recurrentDropout&&h.recurrentDropout<1&&h.recurrentDropoutMask==null&&(h.recurrentDropoutMask=Vo({ones:function(){return i.onesLike(O)},rate:h.recurrentDropout,training:b,count:Z}));var pt=h.recurrentDropoutMask,ct=Ne(O,pt,0),dt=Ne(O,pt,1),Ft=Ne(O,pt,2),sr=Ne(O,pt,3),Yt=3,$t=i.split(h.kernel.read(),Z,Yt),vr=$t[0],hr=$t[1],Ir=$t[2],zr=$t[3],kr=h.useBias?i.split(h.bias.read(),Z):[null,null,null,null],Sr=kr[0],mn=kr[1],Xr=kr[2],er=kr[3];Be=h.inputConv(Be,vr,Sr,h.padding),je=h.inputConv(je,hr,mn,h.padding),qe=h.inputConv(qe,Ir,Xr,h.padding),vt=h.inputConv(vt,zr,er,h.padding);var Dn=i.split(h.recurrentKernel.read(),Z,Yt),Cn=Dn[0],bn=Dn[1],un=Dn[2],On=Dn[3];ct=h.recurrentConv(ct,Cn),dt=h.recurrentConv(dt,bn),Ft=h.recurrentConv(Ft,un),sr=h.recurrentConv(sr,On);var Hr=h.recurrentActivation.apply(i.add(Be,ct)),ha=h.recurrentActivation.apply(i.add(je,dt)),Ni=i.add(i.mul(ha,q),i.mul(Hr,h.activation.apply(i.add(qe,Ft)))),Wi=i.mul(h.recurrentActivation.apply(i.add(vt,sr)),h.activation.apply(Ni));return[Wi,Wi,Ni]})},u.prototype.getConfig=function(){var r=s.prototype.getConfig.call(this),o=r.units,h=oe(r,["units"]),b={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return V({},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?re(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(Ru);var gc=function(s){M(u,s);function u(r){var o=this,h=new Ru(r);return o=s.call(this,V({},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 Ws=function(s){M(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=cr(r);if(0<h.rate&&h.rate<1){var T=o.training==null?!1:o.training,O=h.getNoiseShape(b),q=Ye(function(){return tt(b,h.rate,O,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(Ws);var xc=function(s){M(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}(Ws);i.serialization.registerClass(xc);var Qi=function(s){M(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,ar(o.units,"units"),o.activation=_a(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=fn(r.kernelConstraint),o.biasConstraint=fn(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=cr(r),T=Tn(h.activation.getClassName()),O;return T!=null?O=pe(b,h.kernel.read(),T,h.bias?h.bias.read():null):(O=pe(b,h.kernel.read()),h.bias!=null&&(O=re(O,h.bias.read())),h.activation!=null&&(O=h.activation.apply(O))),O})},u.prototype.getConfig=function(){var r={units:this.units,activation:$a(this.activation),useBias:this.useBias,kernelInitializer:S(this.kernelInitializer),biasInitializer:S(this.biasInitializer),kernelRegularizer:dn(this.kernelRegularizer),biasRegularizer:dn(this.biasRegularizer),activityRegularizer:dn(this.activityRegularizer),kernelConstraint:cn(this.kernelConstraint),biasConstraint:cn(this.biasConstraint)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Dense",u}(qr);i.serialization.registerClass(Qi);var lu=function(s){M(u,s);function u(r){var o=this;return r=r||{},o=s.call(this,r)||this,o.inputSpec=[{minNDim:3}],o.dataFormat=r.dataFormat,o}return u.prototype.computeOutputShape=function(r){r=$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],ma(r,1)]},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=cr(r);if(h.dataFormat==="channelsFirst"&&b.rank>1){for(var T=[0],O=2;O<b.rank;++O)T.push(O);T.push(1),b=b.transpose(T)}return no(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(lu);var dr=function(s){M(u,s);function u(r){var o=s.call(this,r)||this;return o.supportsMasking=!0,o.activation=_a(r.activation),o}return u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=cr(r);return h.activation.apply(b)})},u.prototype.getConfig=function(){var r={activation:$a(this.activation)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="Activation",u}(qr);i.serialization.registerClass(dr);var Us=function(s){M(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=cr(r),Ai(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(Us);var Ho=function(s){M(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,O=null,q=0;q<b.length;++q){var Z=b[q];if(this.isUnknown(Z))if(O===null)O=q;else throw new w("Can only specifiy one unknown dimension.");else T*=Z}var le=ma(r);if(O!==null){if(T===0||le%T!==0)throw new w(h);b[O]=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=cr(r),T=b.shape,O=T.slice(0,1).concat(h.fixUnknownDimension(T.slice(1),h.targetShape));return b.reshape(O)})},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 Au=function(s){M(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 Rn({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(cr(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(Au);var _c=function(s){M(u,s);function u(r){var o=s.call(this,r==null?{}: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=cr(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=cr(r),T=-1,O=!0,q=i.any(i.notEqual(b,h.maskValue),T,O),Z=b.mul(q.asType(b.dtype));return Z})},u.className="Masking",u}(qr);i.serialization.registerClass(_c);var Fu=function(s){M(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(Ze(r.inputLength))}return o.inputDim=r.inputDim,ar(o.inputDim,"inputDim"),o.outputDim=r.outputDim,ar(o.outputDim,"outputDim"),o.embeddingsInitializer=x(r.embeddingsInitializer||o.DEFAULT_EMBEDDINGS_INITIALIZER),o.embeddingsRegularizer=Fn(r.embeddingsRegularizer),o.activityRegularizer=Fn(r.activityRegularizer),o.embeddingsConstraint=fn(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=cr(r),i.notEqual(r,i.zerosLike(r))):null})},u.prototype.computeOutputShape=function(r){if(r=$r(r),this.inputLength==null)return r.concat([this.outputDim]);var o=Ze(this.inputLength);if(o.length!==r.length-1)throw new w('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+r));for(var h=0,b=0;b<o.length;++b){var T=o[b],O=r[b+1];if(T!=null&&O!=null&&T!==O)throw new w('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+r));T==null&&(o[h]=O),h++}return[r[0]].concat(o,[this.outputDim])},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o);var b=cr(r);b.dtype!=="int32"&&(b=ai(b,"int32"));var T=Y(h.embeddings.read(),b.as1D());return T.reshape($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:cn(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){M(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 xe},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],O=o[b];if(T==null||O==null||T<0||O<0)h.push(null);else if(T===1)h.push(O);else if(O===1)h.push(T);else{if(T!==O)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=[$r(r)]),r=r,r.length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs."+(" Got "+r.length+" input(s)."));for(var o=[],h=0,b=r;h<b.length;h++){var T=b[h];T!=null&&T[0]!==null&&o.push(T[0])}if(o=jt(o),o.length>1)throw new w("Can not merge tensors with different batch sizes. "+("Got tensors with shapes: "+JSON.stringify(r)+"."));for(var O=r[0]==null?null:r[0].slice(1),q=1;q<r.length;++q){var T=r[q]==null?null:r[q].slice(1);O=this.computeElementwiseOpOutputShape(O,T)}var Z=r.map(function(le){return le.length});r.indexOf(null)===-1&&jt(Z).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){if(r=r,h.reshapeRequired){var b=[],T=r.map(function(Ir){return Ir.rank});if(T.indexOf(null)===-1){for(var O=ja(T),q=0,Z=r;q<Z.length;q++){for(var le=Z[q],Ne=le.rank,Be=0;Be<O-Ne;++Be)le=gr(le,1);b.push(le)}return h.mergeFunction(b)}else{for(var je=!1,qe=0,vt=r;qe<vt.length;qe++){var le=vt[qe],Ne=le.rank;if(Ne==null){var pt=le.shape,ct=pt[0],dt=pt.slice(1).concat([ct]),Ft=le.reshape([ct].concat(ma(pt.slice(1))));Ft=i.transpose(Ft,[1,0]),Ft=Ft.reshape(dt),b.push(Ft),je=!0}else if(Ne>1){var sr=ln(1,Ne).concat([0]);b.push(i.transpose(le,sr)),je=!0}else b.push(le)}var Yt=h.mergeFunction(b),$t=Yt.rank;if(je){if($t==null){var vr=Yt.shape,hr=vr.length,ct=vr[hr-1],dt=[ct].concat(vr.slice(0,vr.length-1));Yt=i.transpose(Yt.reshape([-1,ct]),[1,0]).reshape(dt)}else if($t>1){var sr=[$t-1].concat(ln(0,$t-1));Yt=i.transpose(Yt,sr)}}return Yt}}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=[],O=0,q=r;O<q.length;O++){var b=q[O];b!=null&&b[0]!==null&&T.push(b[0])}return T=jt(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){M(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 Du=function(s){M(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(Du);var Vs=function(s){M(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(Vs);var bc=function(s){M(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 ho=function(s){M(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(ho);var kc=function(s){M(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 O=[],q=0;q<r.length;++q){var Z=r[q].slice();Z.splice(this.axis,1);for(var le=!1,Ne=0,Be=O;Ne<Be.length;Ne++){var T=Be[Ne];if(i.util.arraysEqual(T,Z)){le=!0;break}}le||O.push(Z)}if(O.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 qi(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,O=o.slice(1);T<O.length;T++){var q=O[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(Z){if(Z!=null){b=!1;return}}),b)return null;for(var T=[],O=0;O<r.length;++O)o[O]==null?T.push(i.onesLike(r[O]).asType("bool")):o[O].rank<r[O].rank?T.push(i.expandDims(o[O],-1)):T.push(o[O]);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 po(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 xe("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 xe("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 O=[],q=0;q<T;++q)O.push(1);u=u.reshape(u.shape.concat(O))}else if(h>o){T=h-o;for(var O=[],q=0;q<T;++q)O.push(1);s=s.reshape(s.shape.concat(O))}else T=0;var Z;if(s.shape.length===2&&u.shape.length===2)b[0]===b[1]?Z=s.mul(u).sum(b[0]):Z=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;Z=s.matMul(u,le,Ne)}if(T>0){var Be=void 0;o>h?Be=o+h-3:Be=o-1;for(var je=[],q=Be;q<Be+T;++q)je.push(q);Z=Z.squeeze(je)}return Z.shape.length===1&&(Z=Z.expandDims(1)),Z})}var hu=function(s){M(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 xe("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,O){return po(T,r[O].shape.length)}):b=[po(this.axes,o.shape.length),po(this.axes,h.shape.length)],this.normalize&&(o=Qa(o,b[0]),h=Qa(h,b[1])),Sc(o,h,b)},u.prototype.interpretAxes=function(r,o){var h;return Array.isArray(this.axes)?h=this.axes:h=[po(this.axes,r.length),po(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 xe("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(hu);var Ic=function(s){M(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=cr(r),T=function(){return Oi(b.shape,0,h.stddev).add(b)},O=Ye(T,function(){return b},o.training||!1);return O})},u.className="GaussianNoise",u}(qr);i.serialization.registerClass(Ic);var Ou=function(s){M(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=cr(r);if(h.rate>0&&h.rate<1){var T=function(){var O=Math.sqrt(h.rate/(1-h.rate));return b.mul(Oi(b.shape,1,O))};return Ye(T,function(){return b},o.training||!1)}return b})},u.className="GaussianDropout",u}(qr);i.serialization.registerClass(Ou);var Hs=function(s){M(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||cr(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 O=cr(r),q=1.6732632423543772,Z=1.0507009873554805,le=-q*Z,Ne=i.greaterEqual(i.randomUniform(b),h.rate);Ne=ai(Ne,"float32");var Be=Math.pow((1-h.rate)*(1+h.rate*Math.pow(le,2)),-.5),je=-Be*le*h.rate,qe=O.mul(Ne).add(Ne.add(-1).mul(le));return qe.mul(Be).add(je)};return Ye(T,function(){return cr(r)},o.training||!1)}return r})},u.className="AlphaDropout",u}(qr);i.serialization.registerClass(Hs);function fo(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 xe("batchNormalization is not implemented for array of rank "+s.rank+" yet");return T}function Mu(s,u,r,o,h){return h===void 0&&(h=.001),i.tidy(function(){var b=i.moments(s,o),T=b.mean,O=b.variance,q=fo(s,T,O,r,u,h);return[q,T,O]})}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,O=b.variance,q=[],Z=0,le=ln(0,s.rank);Z<le.length;Z++){var Ne=le[Z];o.indexOf(Ne)!==-1?q.push(1):q.push(s.shape[Ne])}var Be=T.reshape(q),je=O.reshape(q),qe=u==null?null:u.reshape(q),vt=r==null?null:r.reshape(q),pt=fo(s,Be,je,vt,qe,h);return[pt,T,O]})}function zu(s,u,r,o,h){return h===void 0&&(h=.001),i.util.arraysEqual(o.slice().sort(),ln(0,s.rank-1))?Mu(s,u,r,o,h):_l(s,u,r,o,h)}var Lu=function(s){M(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=fn(r.betaConstraint),o.gammaConstraint=fn(r.gammaConstraint),o.betaRegularizer=Fn(r.betaRegularizer),o.gammaRegularizer=Fn(r.gammaRegularizer),o}return u.prototype.build=function(r){var o;r=$r(r);var h=this.axis>=0?this.axis:this.axis+r.length,b=r[h];if(b==null)throw new w("Axis "+h+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(r)+"."));this.inputSpec=[new Rn({ndim:r.length,axes:(o={},o[h]=b,o)})];var T=[b];this.scale&&(this.gamma=this.addWeight("gamma",T,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",T,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",T,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",T,null,this.movingVarianceInitializer,null,!1),this.built=!0},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){var b=o.training==null?!1:o.training,T=cr(r),O=T.shape,q=O.length,Z=ln(0,q),le=h.axis>=0?h.axis:h.axis+q;Z.splice(le,1);var Ne=st(1,q);Ne[le]=O[le];var Be=Z.slice();Be.sort();var je=!i.util.arraysEqual(Be,ln(0,q).slice(0,q-1)),qe=function(){if(je){var Yt=h.movingMean.read().reshape(Ne),$t=h.movingVariance.read().reshape(Ne),vr=h.center?h.beta.read().reshape(Ne):null,hr=h.scale?h.gamma.read().reshape(Ne):null;return fo(T,Yt,$t,vr,hr,h.epsilon)}else return fo(T,h.movingMean.read(),h.movingVariance.read(),h.beta==null?null:h.beta.read(),h.gamma==null?null:h.gamma.read(),h.epsilon)};if(!b)return qe();var vt=zu(T,h.gamma.read(),h.beta.read(),Z,h.epsilon),pt=vt[0],ct=vt[1],dt=vt[2],Ft=function(Yt,$t,vr){i.tidy(function(){var hr=1-vr,Ir=Yt.read(),zr=Ir.sub($t).mul(hr);Yt.write(Ir.sub(zr))})},sr=function(){Ft(h.movingMean,ct,h.momentum),Ft(h.movingVariance,dt,h.momentum)};return sr(),pt})},u.prototype.getConfig=function(){var r={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:S(this.betaInitializer),gammaInitializer:S(this.gammaInitializer),movingMeanInitializer:S(this.movingMeanInitializer),movingVarianceInitializer:S(this.movingVarianceInitializer),betaRegularizer:dn(this.betaRegularizer),gammaRegularizer:dn(this.gammaRegularizer),betaConstraint:cn(this.betaConstraint),gammaConstraint:cn(this.gammaConstraint)},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="BatchNormalization",u}(qr);i.serialization.registerClass(Lu);var pu=function(s){M(u,s);function u(r){var o=this;if(r==null&&(r={}),o=s.call(this,r)||this,o.axis=r.axis==null?-1:r.axis,typeof o.axis=="number"){if(!Number.isInteger(o.axis))throw new Error("Expected axis to be an integer, but received "+o.axis)}else if(Array.isArray(o.axis))for(var h=0,b=o.axis;h<b.length;h++){var T=b[h];if(!Number.isInteger(T))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(o.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(o.axis)));return o.epsilon=r.epsilon==null?.001:r.epsilon,o.center=r.center==null?!0:r.center,o.scale=r.scale==null?!0:r.scale,o.betaInitializer=x(r.betaInitializer||"zeros"),o.gammaInitializer=x(r.gammaInitializer||"ones"),o.betaRegularizer=Fn(r.betaRegularizer),o.gammaRegularizer=Fn(r.gammaRegularizer),o.supportsMasking=!0,o}return u.prototype.build=function(r){r=$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 O=T[b];if(O<0||O>=o)throw new Error("Invalid axis: "+O)}if(this.axis.length!==jt(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var q=this.axis.map(function(le){return r[le]}),Z=!0;this.scale?this.gamma=this.addWeight("gamma",q,"float32",this.gammaInitializer,this.gammaRegularizer,Z):this.gamma=null,this.center?this.beta=this.addWeight("beta",q,"float32",this.betaInitializer,this.betaRegularizer,Z):this.beta=null,this.built=!0},u.prototype.call=function(r,o){var h=this,b=cr(r),T=b.shape,O=T.length;return i.tidy(function(){for(var q=!0,Z=i.moments(b,h.axis,q),le=Z.mean,Ne=Z.variance,Be=st(1,O),je=0,qe=h.axis;je<qe.length;je++){var vt=qe[je];Be[vt]=T[vt]}for(var pt=function($t){return $t!=null&&$t.shape.length!==O&&h.axis!==[O-1]?$t.reshape(Be):$t},ct=pt(h.gamma.read()),dt=pt(h.beta.read()),Ft=[],sr=[],Yt=0;Yt<O;++Yt)h.axis.indexOf(Yt)!==-1?(Ft.push(T[Yt]),sr.push(1)):(Ft.push(1),sr.push(T[Yt]));return le=le.tile(Ft),Ne=Ne.tile(Ft),ct=ct.tile(sr),dt=dt.tile(sr),fo(b,le,Ne,dt,ct,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(pu);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 du=function(s){M(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 to be a length-2 array, "+("but received a length-"+r.padding[1].length+" array."));b=r.padding[1]}o.padding=[h,b]}return o.inputSpec=[new Rn({ndim:4})],o}return u.prototype.computeOutputShape=function(r){r=$r(r);var o,h;return this.dataFormat==="channelsFirst"?(r[2]!=null&&r[2]>=0?o=r[2]+this.padding[0][0]+this.padding[0][1]:o=null,r[3]!=null&&r[3]>=0?h=r[3]+this.padding[1][0]+this.padding[1][1]:h=null,[r[0],r[1],o,h]):(r[1]!=null&&r[1]>=0?o=r[1]+this.padding[0][0]+this.padding[0][1]:o=null,r[2]!=null&&r[2]>=0?h=r[2]+this.padding[1][0]+this.padding[1][1]:h=null,[r[0],o,h,r[3]])},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){return wl(cr(r),h.padding,h.dataFormat)})},u.prototype.getConfig=function(){var r={padding:this.padding,dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u.className="ZeroPadding2D",u}(qr);i.serialization.registerClass(du);function fu(s,u,r,o,h,b){return i.tidy(function(){on(h),Ia(b),xn(o),r==null&&(r=[1,1]),o==null&&(o="valid"),h==null&&(h=he()),b==null&&(b="max"),s=bo(s,h);var T,O=o==="same"?"same":"valid";return b==="max"?T=i.maxPool(s,u,r,O):T=i.avgPool(s,u,r,O),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),Ia(b),xn(o),r==null&&(r=[1,1,1]),o==null&&(o="valid"),h==null&&(h=he()),b==null&&(b="max"),s=uo(s,h);var T,O=o==="same"?"same":"valid";return b==="max"?T=i.maxPool3d(s,u,r,O):T=i.avgPool3d(s,u,r,O),h==="channelsFirst"&&(T=i.transpose(T,[0,4,1,2,3])),T})}var Cc=function(s){M(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 "+(""+JSON.stringify(r.poolSize)));if(ar(o.poolSize,"poolSize"),r.strides==null)o.strides=o.poolSize;else if(typeof r.strides=="number")o.strides=[r.strides];else if(Array.isArray(r.strides)&&r.strides.length===1&&typeof r.strides[0]=="number")o.strides=r.strides;else throw new w("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(r.strides)));return ar(o.strides,"strides"),o.padding=r.padding==null?"valid":r.padding,xn(o.padding),o.inputSpec=[new Rn({ndim:3})],o}return u.prototype.computeOutputShape=function(r){r=$r(r);var o=Si(r[1],this.poolSize[0],this.padding,this.strides[0]);return[r[0],o,r[2]]},u.prototype.call=function(r,o){var h=this;return i.tidy(function(){h.invokeCallHook(r,o),r=gr(cr(r),2);var b=h.poolingFunction(cr(r),[h.poolSize[0],1],[h.strides[0],1],h.padding,"channelsLast");return i.squeeze(b,[2])})},u.prototype.getConfig=function(){var 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){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),fu(r,o,h,b,T,"max")},u.className="MaxPooling1D",u}(Cc);i.serialization.registerClass(Tc);var Ec=function(s){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),fu(r,o,h,b,T,"avg")},u.className="AveragePooling1D",u}(Cc);i.serialization.registerClass(Ec);var Ke=function(s){M(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){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),fu(r,o,h,b,T,"max")},u.className="MaxPooling2D",u}(Ke);i.serialization.registerClass(Rc);var sn=function(s){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),fu(r,o,h,b,T,"avg")},u.className="AveragePooling2D",u}(Ke);i.serialization.registerClass(sn);var Ac=function(s){M(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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h.invokeCallHook(r,o),h.poolingFunction(cr(r),h.poolSize,h.strides,h.padding,h.dataFormat)})},u.prototype.getConfig=function(){var 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),Is=function(s){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),Nc(r,o,h,b,T,"max")},u.className="MaxPooling3D",u}(Ac);i.serialization.registerClass(Is);var Fc=function(s){M(u,s);function u(r){return s.call(this,r)||this}return u.prototype.poolingFunction=function(r,o,h,b,T){return on(T),xn(b),Nc(r,o,h,b,T,"avg")},u.className="AveragePooling3D",u}(Ac);i.serialization.registerClass(Fc);var $n=function(s){M(u,s);function u(r){var o=s.call(this,r)||this;return o.inputSpec=[new Rn({ndim:3})],o}return u.prototype.computeOutputShape=function(r){return[r[0],r[2]]},u.prototype.call=function(r,o){throw new xe},u}(qr),Dc=function(s){M(u,s);function u(r){return s.call(this,r||{})||this}return u.prototype.call=function(r,o){return i.tidy(function(){var h=cr(r);return i.mean(h,1)})},u.className="GlobalAveragePooling1D",u}($n);i.serialization.registerClass(Dc);var Oc=function(s){M(u,s);function u(r){return s.call(this,r||{})||this}return u.prototype.call=function(r,o){return i.tidy(function(){var h=cr(r);return i.max(h,1)})},u.className="GlobalMaxPooling1D",u}($n);i.serialization.registerClass(Oc);var Mc=function(s){M(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 Rn({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 xe},u.prototype.getConfig=function(){var r={dataFormat:this.dataFormat},o=s.prototype.getConfig.call(this);return Object.assign(r,o),r},u}(qr),Gs=function(s){M(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=cr(r);return h.dataFormat==="channelsLast"?i.mean(b,[1,2]):i.mean(b,[2,3])})},u.className="GlobalAveragePooling2D",u}(Mc);i.serialization.registerClass(Gs);var ss=function(s){M(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=cr(r);return h.dataFormat==="channelsLast"?i.max(b,[1,2]):i.max(b,[2,3])})},u.className="GlobalMaxPooling2D",u}(Mc);i.serialization.registerClass(ss);var zc=function(s){M(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=ca(b,h);delete o.layer;var O={layer:T};return Object.assign(O,o),new r(O)},u}(qr),Lc=function(s){M(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=cr(r);var b=function(q,Z){var le=cr(h.layer.call(q,o));return[le,[]]},T=yc(b,r,[],!1,null,null,!1,!0),O=T[1];return O})},u.className="TimeDistributed",u}(zc);i.serialization.registerClass(Lc);function mu(s){Pr(hi,"BidirectionalMergeMode",s)}var Pc="concat",Pu=function(s){M(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=ca(b),h.goBackwards=!(h.goBackwards===!0);var T={};if(T.className=r.layer.getClassName(),T.config=h,o.backwardLayer=ca(T),o.forwardLayer.name="forward_"+o.forwardLayer.name,o.backwardLayer.name="backward_"+o.backwardLayer.name,o.mergeMode=r.mergeMode===void 0?Pc:r.mergeMode,mu(o.mergeMode),r.weights)throw new xe("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()):It(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 O=[],q=[];if(h!=null){var Z=h.length;if(Z%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,O.push.apply(O,h);var le=h.map(function(Ft){return new Rn({shape:Ft.shape})});this.forwardLayer.stateSpec=le.slice(0,Z/2),this.backwardLayer.stateSpec=le.slice(Z/2),q.push.apply(q,le)}if(b!=null)throw new xe("Support for constants in Bidirectional layers is not implemented yet.");for(var Ne=O[0]instanceof Ca,Be=0,je=O;Be<je.length;Be++){var qe=je[Be];if(qe instanceof Ca!==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 vt=[r].concat(O),pt=this.inputSpec.concat(q),ct=this.inputSpec;this.inputSpec=pt;var dt=s.prototype.apply.call(this,vt,o);return this.inputSpec=ct,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,O;if(b==null)T=h.forwardLayer.call(r,o),O=h.backwardLayer.call(r,o);else{var q=b.slice(0,b.length/2),Z=b.slice(b.length/2);T=h.forwardLayer.call(r,Object.assign(o,{initialState:q})),O=h.backwardLayer.call(r,Object.assign(o,{initialState:Z}))}var le;h.returnState&&(Array.isArray(T)&&(le=T.slice(1).concat(O.slice(1))),T=T[0],O=O[0]),h.returnSequences&&(O=i.reverse(O,1));var Ne;return h.mergeMode==="concat"?Ne=qi([T,O]):h.mergeMode==="sum"?Ne=i.add(T,O):h.mergeMode==="ave"?Ne=i.mul(.5,i.add(T,O)):h.mergeMode==="mul"?Ne=i.mul(T,O):h.mergeMode==null&&(Ne=[T,O]),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;na(this.forwardLayer.name,function(){o.forwardLayer.build(r)}),na(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(O){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=oe(W(wr),1),Zt=Ar[0];Jt.inputs.push(Je[Zt]),Je[Zt].children.push(Jt)})});var Lt=x.ret;x.signature.outputArg.forEach(function(Gt){var Jt=oe(W(Lt[Gt.name]),2),wr=Jt[0],Ar=Jt[1],Zt=Je[wr];Zt!=null&&(Zt.defaultOutput=Ar,gt.push(Zt))});var Wt=this.mapArgsToSignature(x);return{nodes:Je,inputs:Pe,outputs:gt,weights:be,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 hi(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 Ri(S,x,k){var K=S[x];return K&&K.shape?Gi(K.shape):k}function jn(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 ni(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(be){return La(be,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 Gi(Se)}):k}function ma(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(be){return Se.getInput(be)}),x.rawAttrs!=null&&(this.attrs=Object.keys(x.rawAttrs).reduce(function(be,Je){return be[Je]=Se.getAttr(Je),be},{}))}return S.prototype.getInput=function(x){return xe(x,this.tensorMap,this.context)},S.prototype.getAttr=function(x,k){var K=this.node.rawAttrs[x];if(K.tensor!=null)return xe(x,this.tensorMap,this.context);if(K.i!=null||K.f!=null)return Ia(this.node.rawAttrs,x,k);if(K.s!=null)return on(this.node.rawAttrs,x,k);if(K.b!=null)return xn(this.node.rawAttrs,x,k);if(K.shape!=null)return Ri(this.node.rawAttrs,x,k);if(K.type!=null)return na(this.node.rawAttrs,x,k);if(K.list!=null){if(K.list.i!=null||K.list.f!=null)return jn(this.node.rawAttrs,x,k);if(K.list.s!=null)return ni(this.node.rawAttrs,x,k);if(K.list.shape!=null)return pi(this.node.rawAttrs,x,k);if(K.list.b!=null)return ma(this.node.rawAttrs,x,k);if(K.list.type!=null)return Ei(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")}},ja=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(xe(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(ai(S,x),function(){return k+(" Shapes "+S+" and "+x+" must match")})}function ai(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,be,Je,Pe){this.name=x,this.dtype=k,this.maxSize=K,this.elementShape=Se,this.identicalElementShapes=be,this.dynamicSize=Je,this.clearAfterRead=Pe,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,be){return K.write(Se,k[be])})},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,de(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,be=x.map(function(Lt){return Se+=Lt,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,Pe=[];i.tidy(function(){k=i.reshape(k,[1,Se,Je]);for(var Lt=0;Lt<x.length;++Lt){var Wt=Lt===0?0:be[Lt-1],Gt=[0,Wt,0],Jt=[1,x[Lt],Je];Pe[Lt]=i.reshape(i.slice(k,Gt,Jt),K.elementShape)}return Pe});for(var gt=[],ft=0;ft<x.length;ft++)gt[ft]=ft;this.writeMany(gt,Pe)},S}(),Ai=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(be){if(K!==be.dtype)throw new Error("Invalid data types; op elements "+K+", but list elements "+be.dtype);ln(k,be.shape,"TensorList shape mismatch: "),i.keep(be)}),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(de(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 be=Se.tensors.map(function(Je){return i.reshape(Je,x)});return i.stack(be,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 be=x.map(function(Je){return i.reshape(Se.tensors[Je],K)});return i.stack(be,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(be){return i.reshape(be,k)});return i.concat(Se,0)})},S}();function wi(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 be=i.unstack(S);return new Ai(be,x,K)}function no(S,x,k){return new Ai([],S,x,k)}function Qn(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,de(x));if(K!=null&&K!==-1&&Se>=K)throw new Error("Max index must be < array size ("+Se+"  vs. "+K+")");var be=new Ai([],k,S.dtype,K),Je=i.unstack(S,0);return x.forEach(function(Pe,gt){be.setItem(Pe,Je[gt])}),be}function ji(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 be=K===0?0:S.size/K,Je=i.tidy(function(){var ft=[];S=i.reshape(S,[1,K,be]);for(var Lt=0;Lt<x.length;++Lt){var Wt=Lt===0?0:Se[Lt-1],Gt=[0,Wt,0],Jt=[1,x[Lt],be];ft[Lt]=i.reshape(i.slice(S,Gt,Jt),k)}return S.dispose(),ft}),Pe=new Ai([],k,S.dtype,x.length),gt=0;gt<Je.length;gt++)Pe.setItem(gt,Je[gt]);return Pe}var Fi=void 0,qi=function(S,x,k){return M(Fi,void 0,void 0,function(){var K,Se,be,Je,Pe,gt,ft,Lt,Pe,Wt,Gt,gt,Jt,wr,Ar,Ar,Zt,xr,Zt,kn,Zt,Zt,Zt,pn,zn,Dr,Na,Sn,cr,$r,Fa,mi,Ka,Xa,ii,zi,Rn,Ca,Ki,yi,oi,qr,Io,nn,Ya,Ba,Xi,si,Li,ao,mo,Za,io,Yo,No,Co,oo,ua,Ka,Xa,Br,ua,Rn,Dr,ca,Br,nn,Ya,Dr,Qa,Br,Dr,Zn,Qa,Br,Ki,yi,Dr,Zn,Br,ua,Dr,Zn,Qa,Br,so,Dr,Zn,Br,Xi,Br,Li,Dr,ua,Xa,Br,ua,Dr,ca,Br,mo,Dr,Za,Br;return V(this,function(Ta){switch(Ta.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),be=w("elseBranch",S,x,k),Je=w("cond",S,x,k),Pe=w("args",S,x,k),[4,Je.data()];case 2:return gt=Ta.sent(),gt[0]?[2,k.functionMap[Se].executeFunctionAsync(Pe,k.tensorArrayMap,k.tensorListMap)]:[2,k.functionMap[be].executeFunctionAsync(Pe,k.tensorArrayMap,k.tensorListMap)];case 3:return ft=w("body",S,x,k),Lt=w("cond",S,x,k),Pe=w("args",S,x,k),[4,k.functionMap[Lt].executeFunctionAsync(Pe,k.tensorArrayMap,k.tensorListMap)];case 4:return Wt=Ta.sent(),Gt=Pe.map(function(vn){return vn.id}),[4,Wt[0].data()];case 5:gt=Ta.sent(),Wt.forEach(function(vn){!vn.kept&&Gt.indexOf(vn.id)===-1&&vn.dispose()}),Jt=Pe,wr=function(){var vn,Pi,yo;return V(this,function(vo){switch(vo.label){case 0:return vn=Jt,[4,k.functionMap[ft].executeFunctionAsync(Jt,k.tensorArrayMap,k.tensorListMap)];case 1:return Jt=vo.sent(),Pi=Jt.map(function(Da){return Da.id}),vn.forEach(function(Da){!Da.kept&&Gt.indexOf(Da.id)===-1&&Pi.indexOf(Da.id)===-1&&Da.dispose()}),[4,k.functionMap[Lt].executeFunctionAsync(Jt,k.tensorArrayMap,k.tensorListMap)];case 2:return yo=vo.sent(),[4,yo[0].data()];case 3:return gt=vo.sent(),yo.forEach(function(Da){!Da.kept&&Gt.indexOf(Da.id)===-1&&Pi.indexOf(Da.id)===-1&&Da.dispose()}),[2]}})},Ta.label=6;case 6:return gt[0]?[5,wr()]:[3,8];case 7:return Ta.sent(),[3,6];case 8:return[2,Jt];case 9:return Ar=w("pred",S,x,k),[2,[It(Ar)]];case 10:return Ar=w("pred",S,x,k),Zt=w("data",S,x,k),Zt.kept||(Zt=It(Zt)),[4,Ar.data()];case 11:return[2,Ta.sent()[0]?[void 0,Zt]:[Zt,void 0]];case 12:return xr=S.inputNames.find(function(vn){return xe(vn,x,k)!==void 0}),xr?(Zt=xe(xr,x,k),[2,[It(Zt)]]):[2,void 0];case 13:return kn=w("frameName",S,x,k),Zt=w("tensor",S,x,k),k.enterFrame(kn),[2,[It(Zt)]];case 14:return Zt=w("tensor",S,x,k),k.exitFrame(),[2,[It(Zt)]];case 15:return Zt=w("tensor",S,x,k),k.nextIteration(),[2,[It(Zt)]];case 16:return pn=w("size",S,x,k),zn=w("dtype",S,x,k),Dr=w("elementShape",S,x,k),Na=w("dynamicSize",S,x,k),Sn=w("clearAfterRead",S,x,k),cr=w("identicalElementShapes",S,x,k),$r=w("name",S,x,k),Fa=new gr($r,zn,pn,Dr,cr,Na,Sn),k.addTensorArray(Fa),[2,[Fa.idTensor,i.scalar(1)]];case 17:return mi=w("tensorArrayId",S,x,k),Ka=w("index",S,x,k),Xa=w("tensor",S,x,k),ii=k.getTensorArray(mi.id),ii.write(Ka,Xa),[2,[ii.idTensor]];case 18:return zi=w("tensorArrayId",S,x,k),Rn=w("index",S,x,k),Ca=k.getTensorArray(zi.id),[2,[Ca.read(Rn)]];case 19:return Ki=w("tensorArrayId",S,x,k),yi=w("indices",S,x,k),oi=w("dtype",S,x,k),qr=k.getTensorArray(Ki.id),[2,[qr.gather(yi,oi)]];case 20:return Io=w("tensorArrayId",S,x,k),nn=w("indices",S,x,k),Ya=w("tensor",S,x,k),Ba=k.getTensorArray(Io.id),Ba.scatter(nn,Ya),[2,[Ba.idTensor]];case 21:return Xi=w("tensorArrayId",S,x,k),si=k.getTensorArray(Xi.id),Li=w("dtype",S,x,k),[2,[si.concat(Li)]];case 22:return ao=w("tensorArrayId",S,x,k),mo=w("tensor",S,x,k),Za=w("lengths",S,x,k),io=k.getTensorArray(ao.id),io.split(Za,mo),[2,[io.idTensor]];case 23:return Yo=w("tensorArrayId",S,x,k),No=k.getTensorArray(Yo.id),[2,[i.scalar(No.size(),"int32")]];case 24:return Co=w("tensorArrayId",S,x,k),oo=k.getTensorArray(Co.id),oo.clearAndClose(),[2,[oo.idTensor]];case 25:return ua=w("tensorListId",S,x,k),Ka=w("index",S,x,k),Xa=w("tensor",S,x,k),Br=k.getTensorList(ua.id),Br.setItem(Ka,Xa),[2,[Br.idTensor]];case 26:return ua=w("tensorListId",S,x,k),Rn=w("index",S,x,k),Dr=w("elementShape",S,x,k),ca=w("elementDType",S,x,k),Br=k.getTensorList(ua.id),[2,[Br.getItem(Rn,Dr,ca)]];case 27:return nn=w("indices",S,x,k),Ya=w("tensor",S,x,k),Dr=w("elementShape",S,x,k),Qa=w("numElements",S,x,k),Br=Qn(Ya,nn,Dr,Qa),k.addTensorList(Br),[2,[Br.idTensor]];case 28:return Dr=w("elementShape",S,x,k),Zn=w("elementDType",S,x,k),Qa=w("numElements",S,x,k),Br=no(Dr,Zn,Qa),k.addTensorList(Br),[2,[Br.idTensor]];case 29:return Ki=w("tensorListId",S,x,k),yi=w("indices",S,x,k),Dr=w("elementShape",S,x,k),Zn=w("elementDType",S,x,k),Br=k.getTensorList(Ki.id),[2,[Br.gather(yi,Zn,Dr)]];case 30:return ua=w("tensorListId",S,x,k),Dr=w("elementShape",S,x,k),Zn=w("elementDType",S,x,k),Qa=w("numElements",S,x,k),Br=k.getTensorList(ua.id),[2,[Br.stack(Dr,Zn,Qa)]];case 31:return so=w("tensor",S,x,k),Dr=w("elementShape",S,x,k),Zn=w("elementDType",S,x,k),Br=wi(so,Dr,Zn),k.addTensorList(Br),[2,[Br.idTensor]];case 32:return Xi=w("tensorListId",S,x,k),Br=k.getTensorList(Xi.id),Li=w("dtype",S,x,k),Dr=w("elementShape",S,x,k),[2,[Br.concat(Li,Dr)]];case 33:return ua=w("tensorListId",S,x,k),Xa=w("tensor",S,x,k),Br=k.getTensorList(ua.id),Br.pushBack(Xa),[2,[Br.idTensor]];case 34:return ua=w("tensorListId",S,x,k),Dr=w("elementShape",S,x,k),ca=w("elementDType",S,x,k),Br=k.getTensorList(ua.id),[2,[Br.popBack(Dr,ca)]];case 35:return mo=w("tensor",S,x,k),Dr=w("elementShape",S,x,k),Za=w("lengths",S,x,k),Br=ji(mo,Za,Dr),k.addTensorList(Br),[2,[Br.idTensor]];case 36:throw TypeError("Node type "+S.op+" is not implemented")}})})};function Di(S,x,k){var K=oe(w("fusedOps",S,x,k),2),Se=K[0],be=K[1],Je=Se==="biasadd",Pe=be==="prelu",gt=Se==="fusedbatchnorm",ft=w("numArgs",S,x,k);if(Je){if(Pe&&ft!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!Pe&&ft!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(gt)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var Lt=w("strides",S,x,k),Wt=Kt(S,x,k),Gt=w("dataFormat",S,x,k).toUpperCase(),Jt=w("dilations",S,x,k),wr=oe(w("args",S,x,k),2),Ar=wr[0],Zt=wr[1];return{stride:Lt,pad:Wt,dataFormat:Gt,dilations:Jt,biasArg:Ar,preluArg:Zt,activationFunc:be}}var ya=function(S,x,k){switch(S.op){case"Conv1D":{var K=w("stride",S,x,k),Se=w("pad",S,x,k),be=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,be,Je)]}case"Conv2D":{var K=w("strides",S,x,k),Se=Kt(S,x,k),be=w("dataFormat",S,x,k).toUpperCase(),Pe=w("dilations",S,x,k);return[i.conv2d(w("x",S,x,k),w("filter",S,x,k),[K[1],K[2]],Se,be,[Pe[1],Pe[2]])]}case"_FusedConv2D":{var gt=Di(S,x,k),K=gt.stride,Se=gt.pad,be=gt.dataFormat,Pe=gt.dilations,ft=gt.biasArg,Lt=gt.preluArg,Wt=gt.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:be,dilations:[Pe[1],Pe[2]],bias:ft,activation:Wt,preluActivationWeights:Lt})]}case"FusedDepthwiseConv2dNative":{var Gt=Di(S,x,k),K=Gt.stride,Se=Gt.pad,be=Gt.dataFormat,Pe=Gt.dilations,ft=Gt.biasArg,Lt=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:be,dilations:[Pe[1],Pe[2]],bias:ft,activation:Wt,preluActivationWeights:Lt})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var Jt=w("outputShape",S,x,k),K=w("strides",S,x,k),Se=Kt(S,x,k);return[i.conv2dTranspose(w("x",S,x,k),w("filter",S,x,k),Jt,[K[1],K[2]],Se)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var K=w("strides",S,x,k),Se=Kt(S,x,k),Pe=w("dilations",S,x,k),be=w("dataFormat",S,x,k).toUpperCase();return[i.depthwiseConv2d(w("input",S,x,k),w("filter",S,x,k),[K[1],K[2]],Se,be,[Pe[1],Pe[2]])]}case"Conv3D":{var K=w("strides",S,x,k),Se=w("pad",S,x,k),be=w("dataFormat",S,x,k).toUpperCase(),Pe=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,be,[Pe[1],Pe[2],Pe[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),Zt=i.maxPoolWithArgmax(w("x",S,x,k),[wr[1],wr[2]],[K[1],K[2]],Se,Ar),xr=Zt.result,kn=Zt.indexes;return[xr,kn]}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),Pe=w("dilations",S,x,k),zn=pn[1],Dr=pn[2],Na=Pe[1],Sn=Pe[2];return[i.dilation2d(w("x",S,x,k),w("filter",S,x,k),[zn,Dr],Se,[Na,Sn],"NHWC")]}default:throw TypeError("Node type "+S.op+" is not implemented")}},Oi=function(S,x,k){switch(S.op){case"Fill":{var K=w("shape",S,x,k),Se=w("dtype",S,x,k),be=w("value",S,x,k);return[i.fill(K,be,Se)]}case"LinSpace":{var Je=w("start",S,x,k),Pe=w("stop",S,x,k),gt=w("num",S,x,k);return[i.linspace(Je,Pe,gt)]}case"Multinomial":{var ft=w("logits",S,x,k),Lt=w("numSamples",S,x,k),Wt=w("seed",S,x,k);return[i.multinomial(ft,Lt,Wt)]}case"OneHot":{var Gt=w("indices",S,x,k),Jt=w("depth",S,x,k),wr=w("onValue",S,x,k),Ar=w("offValue",S,x,k);return[i.oneHot(Gt,Jt,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),Zt=w("stop",S,x,k),xr=w("step",S,x,k);return[i.range(Je,Zt,xr,w("dtype",S,x,k))]}case"TruncatedNormal":{var K=w("shape",S,x,k),kn=w("mean",S,x,k),pn=w("stdDev",S,x,k),Wt=w("seed",S,x,k);return[i.truncatedNormal(K,kn,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 Y(S,x,k){var K=w("boxes",S,x,k),Se=w("scores",S,x,k),be=w("maxOutputSize",S,x,k),Je=w("iouThreshold",S,x,k),Pe=w("scoreThreshold",S,x,k),gt=w("softNmsSigma",S,x,k);return{boxes:K,scores:Se,maxOutputSize:be,iouThreshold:Je,scoreThreshold:Pe,softNmsSigma:gt}}var j=function(S,x,k){return M(pe,void 0,void 0,function(){var K,Se,be,Je,Pe,gt,ft,Lt,Wt,Gt,be,Je,Pe,gt,ft,Jt,Wt,wr,be,Je,Pe,gt,ft,Ar,Wt;return V(this,function(Zt){switch(Zt.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=Y(S,x,k),be=Se.boxes,Je=Se.scores,Pe=Se.maxOutputSize,gt=Se.iouThreshold,ft=Se.scoreThreshold,Lt=Se.softNmsSigma,[4,i.image.nonMaxSuppressionWithScoreAsync(be,Je,Pe,gt,ft,Lt)];case 2:return Wt=Zt.sent(),[2,[Wt.selectedIndices,Wt.selectedScores]];case 3:return Gt=Y(S,x,k),be=Gt.boxes,Je=Gt.scores,Pe=Gt.maxOutputSize,gt=Gt.iouThreshold,ft=Gt.scoreThreshold,Jt=w("padToMaxOutputSize",S,x,k),[4,i.image.nonMaxSuppressionPaddedAsync(be,Je,Pe,gt,ft,Jt)];case 4:return Wt=Zt.sent(),[2,[Wt.selectedIndices,Wt.validOutputs]];case 5:return wr=Y(S,x,k),be=wr.boxes,Je=wr.scores,Pe=wr.maxOutputSize,gt=wr.iouThreshold,ft=wr.scoreThreshold,[4,i.image.nonMaxSuppressionAsync(be,Je,Pe,gt,ft)];case 6:return[2,[Zt.sent()]];case 7:return Ar=i.cast(w("condition",S,x,k),"bool"),[4,i.whereAsync(Ar)];case 8:return Wt=[Zt.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")}})})},ne=function(S,x,k){switch(S.op){case"TopKV2":{var K=w("x",S,x,k),Se=w("k",S,x,k),be=w("sorted",S,x,k),Je=i.topk(K,Se,be);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),Pe=w("axis",S,x,k),Je=i.unique(K,Pe);return[Je.values,Je.indices]}default:throw TypeError("Node type "+S.op+" is not implemented")}},re=function(S,x,k){switch(S.op){case"Const":return x[S.name];case"PlaceholderWithDefault":var K=w("default",S,x,k);return[xe(S.name,x,k)||K];case"Placeholder":return[xe(S.name,x,k)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var Se=w("x",S,x,k);return[It(Se)]}case"IdentityN":return w("x",S,x,k).map(function(Wt){return It(Wt)});case"Snapshot":var be=w("x",S,x,k);return[It(be)];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),Pe=w("data",S,x,k),gt=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(gt);for(var Lt=0;Lt<Pe.length;Lt++)console.log(Array.prototype.slice.call(Pe[Lt].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 M(this,void 0,void 0,function(){var K,Se=this;return V(this,function(be){switch(be.label){case 0:return this.checkKeyAndValueTensor(x,k),[4,x.data()];case 1:return K=be.sent(),this.tensorMap.forEach(function(Je){return Je.dispose()}),this.tensorMap.clear(),[2,i.tidy(function(){var Je=i.unstack(k),Pe=K.length,gt=Je.length;i.util.assert(Pe===gt,function(){return"The number of elements doesn't match, keys has "+(Pe+" elements, the values has "+gt+" ")+"elements."});for(var ft=0;ft<Pe;ft++){var Lt=K[ft],Wt=Je[ft];i.keep(Wt),Se.tensorMap.set(Lt,Wt)}return Se.handle})]}})})},S.prototype.find=function(x,k){return M(this,void 0,void 0,function(){var K,Se=this;return V(this,function(be){switch(be.label){case 0:return this.checkKeyAndValueTensor(x,k),[4,x.data()];case 1:return K=be.sent(),[2,i.tidy(function(){for(var Je=[],Pe=0;Pe<K.length;Pe++){var gt=K[Pe],ft=Se.findWithDefault(gt,k);Je.push(ft)}return i.stack(Je)})]}})})},S.prototype.findWithDefault=function(x,k){var K=this.tensorMap.get(x);return K!=null?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,tt=function(S,x,k,K){return M(kt,void 0,void 0,function(){var Se,be,Je,Pe,gt,ft,Lt,Pe,gt,ft,Wt,Pe;return V(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 be=w("keyDType",S,x,k),Je=w("valueDType",S,x,k),Pe=new Ue(be,Je),K.addHashTable(S.name,Pe),[2,[Pe.handle]];case 2:return gt=w("tableHandle",S,x,k,K),ft=w("keys",S,x,k),Lt=w("values",S,x,k),Pe=K.getHashTableById(gt.id),[4,Pe.import(ft,Lt)];case 3:return[2,[Gt.sent()]];case 4:return gt=w("tableHandle",S,x,k,K),ft=w("keys",S,x,k),Wt=w("defaultValue",S,x,k),Pe=K.getHashTableById(gt.id),[4,Pe.find(ft,Wt)];case 5:return[2,[Gt.sent()]];case 6:throw TypeError("Node type "+S.op+" is not implemented")}})})},ze=function(S,x,k){switch(S.op){case"ResizeBilinear":{var K=w("images",S,x,k),Se=w("size",S,x,k),be=w("alignCorners",S,x,k);return[i.image.resizeBilinear(K,[Se[0],Se[1]],be)]}case"ResizeNearestNeighbor":{var K=w("images",S,x,k),Se=w("size",S,x,k),be=w("alignCorners",S,x,k);return[i.image.resizeNearestNeighbor(K,[Se[0],Se[1]],be)]}case"CropAndResize":{var Je=w("image",S,x,k),Pe=w("boxes",S,x,k),gt=w("boxInd",S,x,k),ft=w("cropSize",S,x,k),Lt=w("method",S,x,k),Wt=w("extrapolationValue",S,x,k);return[i.image.cropAndResize(Je,Pe,gt,ft,Lt,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")}},Dt=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=oe(w("fusedOps",S,x,k),2),Se=K[0],be=K[1],Je=Se==="biasadd",Pe=be==="prelu",gt=w("numArgs",S,x,k);if(Je){if(Pe&&gt!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!Pe&&gt!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var ft=oe(w("args",S,x,k),2),Lt=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:Lt,activation:be,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),be=w("exclusive",S,x,k),Je=w("reverse",S,x,k);return[i.cumsum(w("x",S,x,k),K,be,Je)]}default:throw TypeError("Node type "+S.op+" is not implemented")}},fr=function(S,x,k){switch(S.op){case"ConcatV2":case"Concat":{var K=w("n",S,x,k),Se=w("axis",S,x,k),be=w("tensors",S,x,k);return be=be.slice(0,K),[i.concat(be,Se)]}case"GatherV2":case"Gather":{var Se=w("axis",S,x,k),Je=w("x",S,x,k),Pe=w("indices",S,x,k);return[i.gather(Je,i.cast(Pe,"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 gt=w("begin",S,x,k),ft=w("size",S,x,k);return[i.slice(w("x",S,x,k),gt,ft)]}case"StridedSlice":{var gt=w("begin",S,x,k),Lt=w("end",S,x,k),Wt=w("strides",S,x,k),Gt=w("beginMask",S,x,k),Jt=w("endMask",S,x,k),wr=w("ellipsisMask",S,x,k),Ar=w("newAxisMask",S,x,k),Zt=w("shrinkAxisMask",S,x,k),xr=w("x",S,x,k);return[i.stridedSlice(xr,gt,Lt,Wt,Gt,Jt,wr,Ar,Zt)]}case"Pack":return i.tidy(function(){var $r=w("axis",S,x,k),Fa=w("tensors",S,x,k),mi=Fa[0].shape,Ka=i.squeeze(Fa[0]).shape,Xa=Fa.map(function(ii){var zi=i.util.arraysEqual(ii.shape,mi);if(!zi&&!i.util.arraysEqual(i.squeeze(ii).shape,Ka))throw new Error("the input tensors shape does not match");return zi?ii:i.reshape(ii,mi)});return[i.stack(Xa,$r)]});case"Unpack":{var Se=w("axis",S,x,k),xr=w("tensor",S,x,k);return i.unstack(xr,Se)}case"Tile":{var kn=w("reps",S,x,k);return[i.tile(w("x",S,x,k),kn)]}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 Pe=w("indices",S,x,k),zn=w("values",S,x,k),Dr=w("shape",S,x,k);return[i.scatterND(Pe,zn,Dr)]}case"GatherNd":{var Na=w("x",S,x,k),Pe=w("indices",S,x,k);return[i.gatherND(Na,Pe)]}case"SparseToDense":{var Pe=w("sparseIndices",S,x,k),Dr=w("outputShape",S,x,k),Sn=w("sparseValues",S,x,k),cr=w("defaultValue",S,x,k);return[i.sparseToDense(Pe,Sn,Dr,Sn.dtype===cr.dtype?cr:i.cast(cr,Sn.dtype))]}default:throw TypeError("Node type "+S.op+" is not implemented")}},or=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")}},aa=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),be=w("paddings",S,x,k);return[i.spaceToBatchND(w("x",S,x,k),Se,be)]}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 Pe=w("blockSize",S,x,k),gt=w("dataFormat",S,x,k).toUpperCase();return[i.depthToSpace(w("x",S,x,k),Pe,gt)]}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 va(S,x,k,K){var Se=function(be,Je,Pe){switch(be.category){case"arithmetic":return i.tidy(function(){return fi(be,Je,Pe)});case"basic_math":return i.tidy(function(){return ja(be,Je,Pe)});case"control":return qi(be,Je,Pe);case"convolution":return i.tidy(function(){return ya(be,Je,Pe)});case"creation":return i.tidy(function(){return Oi(be,Je,Pe)});case"dynamic":return j(be,Je,Pe);case"evaluation":return i.tidy(function(){return ne(be,Je,Pe)});case"image":return i.tidy(function(){return ze(be,Je,Pe)});case"graph":return i.tidy(function(){return re(be,Je,Pe)});case"logical":return i.tidy(function(){return Ye(be,Je,Pe)});case"matrices":return i.tidy(function(){return Dt(be,Je,Pe)});case"normalization":return i.tidy(function(){return St(be,Je,Pe)});case"reduction":return i.tidy(function(){return Mt(be,Je,Pe)});case"slice_join":return i.tidy(function(){return fr(be,Je,Pe)});case"spectral":return i.tidy(function(){return or(be,Je,Pe)});case"transformation":return i.tidy(function(){return aa(be,Je,Pe)});case"hash_table":return tt(be,Je,Pe,K);case"custom":var gt=ye(be.op);if(gt&&gt.customExecutor)return gt.customExecutor(new di(be,Je,Pe));throw TypeError("Custom op "+be.op+" is not registered.");default:throw TypeError("Unknown op '"+be.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(be){return[].concat(be)}):[].concat(Se)}var ia=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 qa(S,x,k,K){var Se=new Set,be=[],Je=null,Pe=null,gt=new Set,ft=Object.keys(S).map(function(Jt){return ut(Jt)[0]}),Lt=[];K!=null&&(Lt=K.map(function(Jt){return ut(Jt.name)[0]}));for(var Wt=de(x);Wt.length>0;){var Gt=Wt.pop();if((Jr(Gt)||Vr(Gt)||Jn(Gt))&&Je==null&&(Je=Gt,Pe=Je.children.map(function(Jt){return Jt.name}).filter(function(Jt){return Se.has(Jt)})),Se.add(Gt.name),k[Gt.name]!=null)continue;if(ft.indexOf(Gt.name)!==-1)continue;if(Lt.indexOf(Gt.name)!==-1)continue;if(Gt.inputs.length===0){be.push(Gt.name);continue}Gt.inputs.forEach(function(Jt){if(gt.has(Jt.name))return;gt.add(Jt.name),Wt.push(Jt)})}return{inputs:S,outputs:x,usedNodes:Se,missingInputs:be,dynamicNode:Je,syncInputs:Pe}}function bi(S,x,k){var K=k.usedNodes,Se=k.inputs,be=[],Je=Object.keys(Se).map(function(Wt){return ut(Wt)[0]}).map(function(Wt){return S.nodes[Wt]}),Pe=S.initNodes;Je.forEach(function(Wt){K.has(Wt.name)&&be.push(Wt)}),S.weights.forEach(function(Wt){K.has(Wt.name)&&be.push(Wt)}),Pe!=null&&Pe.forEach(function(Wt){K.has(Wt.name)&&be.push(Wt)});for(var gt=new Set,ft=[];be.length>0;){var Lt=be.pop();gt.add(Lt.name),x[Lt.name]||ft.push(Lt),Lt.children.forEach(function(Wt){!gt.has(Wt.name)&&K.has(Wt.name)&&Wt.inputs.every(function(Gt){return gt.has(Gt.name)})&&be.push(Wt)})}return ft}var rn=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],hn=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],oa=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function Jr(S){return rn.indexOf(S.op)>=0}function Vr(S){return hn.indexOf(S.op)>=0}function Jn(S){return oa.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([],de(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(be){return be.name}).sort(),Se=k.map(function(be){return be.name}).sort();return K.join(this.SEPERATOR)+"--"+Se.join(this.SEPERATOR)},S.prototype.compile=function(x,k){var K=qa(x,k,this.weightMap,this._initNodes),Se=K.missingInputs,be=K.dynamicNode,Je=K.syncInputs;if(be!=null)throw new Error("This execution contains the node '"+be.name+"', which has "+("the dynamic op '"+be.op+"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+("dynamic ops, specify the inputs ["+Je+"]"));if(Se.length>0){var Pe=k.map(function(ft){return ft.name}),gt=Object.keys(x);throw new Error("Cannot compute the outputs ["+Pe+"] from the provided inputs "+("["+gt+"]. Missing the following inputs: ["+Se+"]"))}return bi(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 be=Se.map(function(Gt){return K.graph.nodes[ut(Gt)[0]]}),Je=k.map(function(Gt){return ut(Gt)[0]}),Pe=Je.map(function(Gt){return K.graph.nodes[Gt]});Pe.length===0&&(Pe=this._outputs);var gt=this.getCompilationKey(be,Pe),ft=this.compiledMap.get(gt);ft==null&&(ft=this.compile(x,Pe),this.compiledMap.set(gt,ft));var Lt={},Wt={};return i.tidy(function(){var Gt=new ia(K.weightMap,Lt,Wt,K.functionExecutorMap),Jt=we({},K.weightMap);Object.keys(x).forEach(function(pn){var zn=oe(ut(pn),2),Dr=zn[0],Na=zn[1],Sn=[];Sn[Na]=x[pn],Jt[Dr]=Sn});for(var wr=K.getFrozenTensorIds(Jt),Ar={},Zt=0;Zt<ft.length;Zt++){var xr=ft[Zt];if(!Jt[xr.name]){var kn=va(xr,Jt,Gt,K._resourceManager);if(i.util.isPromise(kn))throw new Error("The execution of the op '"+xr.op+"' returned a promise. Please use model.executeAsync() instead.");Jt[xr.name]=kn,K.checkTensorForDisposal(xr.name,xr,Jt,Gt,wr,Je,Ar)}}return K.parent==null&&Gt.dispose(wr),k.map(function(pn){return xe(pn,Jt,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,be,Je,Pe){if(k.category==="control"||Je.indexOf(x)!==-1)return;K[x].forEach(function(gt){gt!=null&&(Pe[gt.id]=(Pe[gt.id]||0)+k.children.length)}),k.inputs.forEach(function(gt){if(gt.category!=="control"){var ft=We(gt.name,K,Se);ft!=null&&ft.forEach(function(Lt){if(Lt&&!be.has(Lt.id)){var Wt=Pe[Lt.id];Wt===1?(Lt.dispose(),delete Pe[Lt.id]):Wt!=null&&Pe[Lt.id]--}})}})},S.prototype.executeAsync=function(x,k){return M(this,void 0,void 0,function(){return V(this,function(K){return[2,this._executeAsync(x,k)]})})},S.prototype._executeAsync=function(x,k,K,Se,be){return K===void 0&&(K=!1),Se===void 0&&(Se={}),be===void 0&&(be={}),M(this,void 0,void 0,function(){var Je,Pe,gt,ft,Lt,Wt;return V(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 ia(this.weightMap,Se,be,this.functionExecutorMap),[4,this.executeWithControlFlow(x,Je,k,K)];case 1:return Pe=Gt.sent(),gt=k.map(function(Jt){return xe(Jt,Pe,Je)}),ft=gt.map(function(Jt){return Jt.id}),Lt=Object.keys(x).map(function(Jt){return x[Jt].id}),Wt=new Set(de(ft,Lt,this.weightIds)),Object.keys(Pe).forEach(function(Jt){var wr=Pe[Jt];wr.forEach(function(Ar){Ar&&!Ar.isDisposed&&!Wt.has(Ar.id)&&Ar.dispose()})}),this.parent==null&&Je.dispose(Wt),[2,gt]}})})},S.prototype.executeFunctionAsync=function(x,k,K){return M(this,void 0,void 0,function(){var Se,be=this;return V(this,function(Je){return Se=x.reduce(function(Pe,gt,ft){return Pe[be.inputs[ft].name]=gt,Pe},{}),[2,this._executeAsync(Se,this.outputNodes,!0,k,K)]})})},S.prototype.executeWithControlFlow=function(x,k,K,Se){return M(this,void 0,void 0,function(){var be,Je,Pe,gt,ft,Lt,Wt,Gt,Jt,wr,Ar,Zt,xr,kn,pn,zn,Dr,Na=this;return V(this,function(Sn){switch(Sn.label){case 0:be=Object.keys(x),Je=be.map(function(cr){return Na.graph.nodes[ut(cr)[0]]}),Pe=K.map(function(cr){return ut(cr)[0]}),gt=Pe.map(function(cr){return Na.graph.nodes[cr]}),gt.length===0&&(gt=this._outputs),ft=qa(x,gt,this.weightMap,this._initNodes),Lt=ft.usedNodes,Wt=ft.missingInputs,Gt=ft.dynamicNode,Jt=ft.syncInputs,wr=de(Je,this.graph.weights,this._initNodes||[]).map(function(cr){return{node:cr,contexts:k.currentContext}}),Ar=we({},this.weightMap),Object.keys(x).forEach(function(cr){var $r=oe(ut(cr),2),Fa=$r[0],mi=$r[1],Ka=[];Ka[mi]=x[cr],Ar[Fa]=Ka}),Zt={},xr=this.getFrozenTensorIds(Ar),kn={},Sn.label=1;case 1:return wr.length>0?(pn=this.processStack(Je,wr,k,Ar,kn,xr,Pe,Zt,Lt),[4,Promise.all(pn)]):[3,3];case 2:return Sn.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=gt.filter(function(cr){return!Jr(cr)&&!xe(cr.name,Ar,k)}).map(function(cr){return cr.name}),zn.length>0)throw Dr="",Gt!=null&&(Dr="Alternatively, to avoid the dynamic ops, use model.execute() "+("and specify the inputs ["+Jt+"]")),new Error("Cannot compute the outputs ["+zn+"] from the provided "+("inputs ["+be+"]. Consider providing the following inputs: ")+("["+Wt+"]. "+Dr));return[2,Ar]}})})},S.prototype.processStack=function(x,k,K,Se,be,Je,Pe,gt,ft){for(var Lt=this,Wt=[],Gt=function(){var wr,Ar,Zt=k.pop();K.currentContext=Zt.contexts;var xr="";if(Zt.node.op==="Enter"&&w("isConstant",Zt.node,Se,K)&&(wr=oe(W(Zt.node.name,K),1),xr=wr[0]),Se[Zt.node.name]==null){var kn=va(Zt.node,Se,K,Jt._resourceManager);xr||(Ar=oe(W(Zt.node.name,K),1),xr=Ar[0]);var pn=K.currentContext;i.util.isPromise(kn)?Wt.push(kn.then(function(zn){return Se[xr]=zn,K.currentContext=pn,Lt.checkTensorForDisposal(xr,Zt.node,Se,K,Je,Pe,gt),Lt.processChildNodes(Zt.node,k,K,Se,be,ft),zn})):(Se[xr]=kn,Jt.checkTensorForDisposal(xr,Zt.node,Se,K,Je,Pe,gt),Jt.processChildNodes(Zt.node,k,K,Se,be,ft))}else Jt.processChildNodes(Zt.node,k,K,Se,be,ft)},Jt=this;k.length>0;)Gt();return Wt},S.prototype.processChildNodes=function(x,k,K,Se,be,Je){x.children.forEach(function(Pe){var gt=oe(W(Pe.name,K),1),ft=gt[0];if(be[ft]||!Je.has(Pe.name))return;Pe.op==="Merge"?Pe.inputNames.some(function(Lt){return!!xe(Lt,Se,K)})&&(be[ft]=!0,k.push({contexts:K.currentContext,node:Pe})):Pe.inputNames.every(function(Lt){return!!xe(Lt,Se,K)})&&(be[ft]=!0,k.push({contexts:K.currentContext,node:Pe}))})},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],be=oe(ut(K),1),Je=be[0],Pe=k.graph.nodes[Je];if(Pe.attrParams.shape&&Pe.attrParams.shape.value){var gt=Pe.attrParams.shape.value,ft=gt.length===Se.shape.length&&Se.shape.every(function(Lt,Wt){return gt[Wt]===-1||gt[Wt]===Lt});i.util.assert(ft,function(){return"The shape of dict['"+Pe.name+"'] provided in "+("model.execute(dict) must be ["+gt+"], but was ")+("["+Se.shape+"]")})}Pe.attrParams.dtype&&Pe.attrParams.dtype.value&&i.util.assert(Se.dtype===Pe.attrParams.dtype.value,function(){return"The dtype of dict['"+Pe.name+"'] provided in model.execute(dict) must be "+(Pe.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 be=oe(ut(Se),1),Je=be[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=oe(ut(K),1),be=Se[0];if(!k.graph.nodes[be])throw new Error("The output '"+K+"' is not found in the graph")})},S}(),En=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}(),qn="?tfjs-format=file",sa="model.json",ga=function(){function S(x,k){k===void 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============================
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fe},ue.prototype.reverse=function(E,D){X(E,"reverse");for(var A=i.buffer(E.shape,E.dtype),H=this.bufferSync(E),se=function(_e){var ce=A.indexToLoc(_e),fe=ce.slice();D.forEach(function(ve){return fe[ve]=E.shape[ve]-1-fe[ve]}),A.set.apply(A,[H.get.apply(H,fe)].concat(ce))},te=0;te<A.size;te++)se(te);return A.toTensor()},ue.prototype.neg=function(E){return X(E,"neg"),i.mul(i.scalar(-1),E)},ue.prototype.addN=function(E){var D=this;X(E,"addN");for(var A=E.map(function(fe){return D.readSync(fe.dataId)}),H=i.buffer(E[0].shape,E[0].dtype),se=H.values,te=0;te<E.length;te++)for(var _e=A[te],ce=0;ce<se.length;ce++)se[ce]+=_e[ce];return H.toTensor()},ue.prototype.softmax=function(E,D){var A=i.util.parseAxisParam([D],E.shape),H=i.max(E,A),se=i.backend_util.expandShapeToKeepDim(H.shape,A),te=i.sub(E,H.reshape(se)),_e=i.exp(te),ce=this.sum(_e,A).reshape(se);return i.div(_e,ce)},ue.prototype.pow=function(E,D){return X([E,D],"pow"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){return Math.pow(A,H)})},ue.prototype.floorDiv=function(E,D){X([E,D],"floorDiv");var A=function(se,te){return Math.floor(se/te)},H="int32";return this.broadcastedBinaryOp(E,D,H,A)},ue.prototype.sum=function(E,D){X(E,"sum"),i.backend_util.assertAxesAreInnerMostDims("sum",D,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,D),H=A[0],se=A[1],te=i.upcastType(E.dtype,"int32"),_e=i.zeros(H,te),ce=i.util.sizeFromShape(se),fe=this.readSync(_e.dataId),ve=this.readSync(E.dataId),ge=0;ge<fe.length;++ge){for(var Ae=ge*ce,Oe=0,De=0;De<ce;++De)Oe+=ve[Ae+De];fe[ge]=Oe}return _e},ue.prototype.prod=function(E,D){X(E,"sum");for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,D),H=A[0],se=A[1],te=i.upcastType(E.dtype,"int32"),_e=i.zeros(H,te),ce=i.util.sizeFromShape(se),fe=this.readSync(_e.dataId),ve=this.readSync(E.dataId),ge=0;ge<fe.length;++ge){for(var Ae=ge*ce,Oe=1,De=0;De<ce;++De)Oe*=ve[Ae+De];fe[ge]=Oe}return _e},ue.prototype.unsortedSegmentSum=function(E,D,A){X(E,"unsortedSegmentSum");for(var H=[],se=E.rank-D.rank,te=0;te<se;++te)D=D.expandDims(te+1);for(var te=0;te<A;++te){var _e=i.scalar(te,"int32"),ce=i.equal(_e,D).asType("float32"),fe=ce.mul(E).sum(0);H.push(fe)}return i.stack(H)},ue.prototype.argMin=function(E,D){X(E,"argMin");var A=[D];i.backend_util.assertAxesAreInnerMostDims("argMin",A,E.rank);for(var H=i.backend_util.computeOutAndReduceShapes(E.shape,A),se=H[0],te=H[1],_e=i.zeros(se,"int32"),ce=i.util.sizeFromShape(te),fe=this.readSync(_e.dataId),ve=this.readSync(E.dataId),ge=0;ge<fe.length;++ge){for(var Ae=ge*ce,Oe=ve[Ae],De=0,Ve=0;Ve<ce;++Ve){var Xe=ve[Ae+Ve];Xe<Oe&&(Oe=Xe,De=Ve)}fe[ge]=De}return _e},ue.prototype.argMax=function(E,D){X(E,"argMax");var A=[D];i.backend_util.assertAxesAreInnerMostDims("argMax",A,E.rank);for(var H=i.backend_util.computeOutAndReduceShapes(E.shape,A),se=H[0],te=H[1],_e=i.zeros(se,"int32"),ce=i.util.sizeFromShape(te),fe=this.readSync(_e.dataId),ve=this.readSync(E.dataId),ge=0;ge<fe.length;++ge){for(var Ae=ge*ce,Oe=ve[Ae],De=0,Ve=0;Ve<ce;++Ve){var Xe=ve[Ae+Ve];Xe>Oe&&(Oe=Xe,De=Ve)}fe[ge]=De}return _e},ue.prototype.cumsum=function(E,D,A,H){if(X(E,"cumsum"),D!==E.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(E.rank-1)+" "+("but got axis="+D));for(var se=i.upcastType(E.dtype,"int32"),te=i.zeros(E.shape,se),_e=this.readSync(te.dataId),ce=this.readSync(E.dataId),fe=E.shape[E.rank-1],ve=H?function(Ve,Xe){return Ve+fe-Xe-1}:function(Ve,Xe){return Ve+Xe},ge=0;ge<ce.length;ge+=fe)for(var Ae=0;Ae<fe;Ae++){var Oe=ve(ge,Ae);if(Ae===0)_e[Oe]=A?0:ce[Oe];else{var De=ve(ge,Ae-1);_e[Oe]=A?ce[De]+_e[De]:ce[Oe]+_e[De]}}return te},ue.prototype.equal=function(E,D){return X([E,D],"equal"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A===H?1:0})},ue.prototype.notEqual=function(E,D){return X([E,D],"notEqual"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A!==H?1:0})},ue.prototype.less=function(E,D){return X([E,D],"less"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A<H?1:0})},ue.prototype.lessEqual=function(E,D){return X([E,D],"lessEqual"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A<=H?1:0})},ue.prototype.greater=function(E,D){return X([E,D],"greater"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A>H?1:0})},ue.prototype.greaterEqual=function(E,D){return X([E,D],"greaterEqual"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A>=H?1:0})},ue.prototype.logicalAnd=function(E,D){return X([E,D],"logicalAnd"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A&&H})},ue.prototype.logicalOr=function(E,D){return X([E,D],"logicalOr"),this.broadcastedBinaryOp(E,D,"bool",function(A,H){return A||H})},ue.prototype.select=function(E,D,A){X([E,D,A],"select");for(var H=this.readSync(E.dataId),se=this.readSync(D.dataId),te=this.readSync(A.dataId),_e=i.zeros(D.shape,i.upcastType(D.dtype,A.dtype)),ce=this.readSync(_e.dataId),fe=0,ve=E.rank===0||E.rank>1||D.rank===1?1:i.util.sizeFromShape(D.shape.slice(1)),ge=0;ge<H.length;ge++)for(var Ae=0;Ae<ve;Ae++)H[ge]===1?ce[fe++]=se[ge]:ce[fe++]=te[ge];return _e},ue.prototype.where=function(E){X([E],"where");var D=this.readSync(E.dataId);return ee(E.shape,D)},ue.prototype.topk=function(E,D,A){X(E,"topk");var H=this.readSync(E.dataId);return ye(H,E.shape,E.dtype,D,A)},ue.prototype.min=function(E,D){X(E,"min"),i.backend_util.assertAxesAreInnerMostDims("min",D,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,D),H=A[0],se=A[1],te=i.zeros(H,E.dtype),_e=i.util.sizeFromShape(se),ce=this.readSync(te.dataId),fe=this.readSync(E.dataId),ve=0;ve<ce.length;++ve){for(var ge=ve*_e,Ae=fe[ge],Oe=0;Oe<_e;++Oe){var De=fe[ge+Oe];De<Ae&&(Ae=De)}ce[ve]=Ae}return te},ue.prototype.minimum=function(E,D){return X([E,D],"minimum"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){return Math.min(A,H)})},ue.prototype.mod=function(E,D){return X([E,D],"mod"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){var se=A%H;return A<0&&H<0||A>=0&&H>=0?se:(se+H)%H})},ue.prototype.maximum=function(E,D){return X([E,D],"maximum"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){return Math.max(A,H)})},ue.prototype.all=function(E,D){X(E,"all"),i.backend_util.assertAxesAreInnerMostDims("all",D,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,D),H=A[0],se=A[1],te=i.zeros(H,E.dtype),_e=i.util.sizeFromShape(se),ce=this.readSync(te.dataId),fe=this.readSync(E.dataId),ve=0;ve<ce.length;++ve){for(var ge=ve*_e,Ae=fe[ge],Oe=0;Oe<_e;++Oe){var De=fe[ge+Oe];Ae=Ae&&De}ce[ve]=Ae}return te},ue.prototype.any=function(E,D){X(E,"any"),i.backend_util.assertAxesAreInnerMostDims("any",D,E.rank);for(var A=i.backend_util.computeOutAndReduceShapes(E.shape,D),H=A[0],se=A[1],te=i.zeros(H,E.dtype),_e=i.util.sizeFromShape(se),ce=this.readSync(te.dataId),fe=this.readSync(E.dataId),ve=0;ve<ce.length;++ve){for(var ge=ve*_e,Ae=fe[ge],Oe=0;Oe<_e;++Oe){var De=fe[ge+Oe];Ae=Ae||De}ce[ve]=Ae}return te},ue.prototype.squaredDifference=function(E,D){return X([E,D],"squaredDifference"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){var se=A-H;return se*se})},ue.prototype.eluDer=function(E,D){X([E,D],"eluDer");for(var A=new Float32Array(D.size),H=this.readSync(D.dataId),se=this.readSync(E.dataId),te=0;te<H.length;++te){var _e=H[te];_e>=1?A[te]=se[te]:A[te]=se[te]*(_e+1)}return this.makeOutput(A,D.shape,"float32")},ue.prototype.atan2=function(E,D){return X([E,D],"atan2"),this.broadcastedBinaryOp(E,D,E.dtype,function(A,H){return Math.atan2(A,H)})},ue.prototype.tile=function(E,D){return X(E,"tile"),he(this.bufferSync(E),D)},ue.prototype.gather=function(E,D,A){X([E,D],"gather");var H=E.shape.slice(),se=this.readSync(D.dataId);H[A]=se.length;for(var te=i.buffer(H,E.dtype),_e=this.bufferSync(E),ce=0;ce<te.size;++ce){var fe=te.indexToLoc(ce),ve=fe.slice();ve[A]=se[fe[A]];var ge=_e.locToIndex(ve);te.values[ce]=_e.values[ge]}return te.toTensor()},ue.prototype.batchToSpaceND=function(E,D,A){X([E],"batchToSpaceND");var H=D.reduce(function(ve,ge){return ve*ge}),se=i.backend_util.getReshaped(E.shape,D,H),te=i.backend_util.getPermuted(se.length,D.length),_e=i.backend_util.getReshapedPermuted(E.shape,D,H),ce=i.backend_util.getSliceBeginCoords(A,D.length),fe=i.backend_util.getSliceSize(_e,A,D.length);return i.transpose(E.reshape(se),te).reshape(_e).slice(ce,fe)},ue.prototype.pool3d=function(E,D,A){X(E,"pool3d");for(var H=D.strideDepth,se=D.strideHeight,te=D.strideWidth,_e=D.dilationDepth,ce=D.dilationHeight,fe=D.dilationWidth,ve=D.effectiveFilterDepth,ge=D.effectiveFilterHeight,Ae=D.effectiveFilterWidth,Oe=D.padInfo.front,De=D.padInfo.top,Ve=D.padInfo.left,Xe=A==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,at=this.readSync(E.dataId),it=i.buffer(D.outShape,E.dtype),$=it.values,rt=D.outShape[1]*D.outShape[2]*D.outShape[3]*D.outShape[4],xt=D.outShape[2]*D.outShape[3]*D.outShape[4],ht=D.outShape[3]*D.outShape[4],_t=D.outShape[4],At=0;At<D.batchSize;++At)for(var zt=At*rt,Pt=At*E.strides[0],Ut=0;Ut<D.inChannels;++Ut)for(var Tt=0;Tt<D.outDepth;++Tt){for(var Xt=Tt*H-Oe,Ht=Xt;Ht<0;)Ht+=_e;for(var Ot=Math.min(D.inDepth,ve+Xt),Rt=zt+Tt*xt,wt=0;wt<D.outHeight;++wt){for(var Et=wt*se-De,Vt=Et;Vt<0;)Vt+=ce;for(var qt=Math.min(D.inHeight,ge+Et),lr=Rt+wt*ht,ir=0;ir<D.outWidth;++ir){for(var Ie=ir*te-Ve,br=Ie;br<0;)br+=fe;for(var Nr=Math.min(D.inWidth,Ae+Ie),Tr=lr+ir*_t,pr=Xe,Fr=0,mr=0,Er=Ht;Er<Ot;Er+=_e){for(var an=Pt+Er*E.strides[1],_n=Vt;_n<qt;_n+=ce){for(var ie=an+_n*E.strides[2],In=br;In<Nr;In+=fe){var wn=ie+In*E.strides[3],Re=at[wn+Ut];if(A==="max"&&Re>pr?pr=Re:A==="avg"&&(Fr+=Re,mr++),isNaN(pr))break}if(isNaN(pr))break}if(isNaN(pr))break}var Un=Tr+Ut;$[Un]=A==="avg"?Fr/mr:pr}}}return it.toTensor()},ue.prototype.avgPool3d=function(E,D){return X(E,"avgPool3d"),this.pool3d(E,D,"avg").toFloat()},ue.prototype.avgPool3dBackprop=function(E,D,A){X([E,D],"avgPool3dBackprop");for(var H=A.strideDepth,se=A.strideHeight,te=A.strideWidth,_e=A.filterDepth,ce=A.filterHeight,fe=A.filterWidth,ve=A.dilationDepth,ge=A.dilationHeight,Ae=A.dilationWidth,Oe=A.effectiveFilterDepth,De=A.effectiveFilterHeight,Ve=A.effectiveFilterWidth,Xe=Oe-1-A.padInfo.front,at=Ve-1-A.padInfo.left,it=De-1-A.padInfo.top,$=i.buffer(D.shape,"float32"),rt=1/(_e*ce*fe),xt=this.bufferSync(E),ht=0;ht<A.batchSize;++ht)for(var _t=0;_t<A.inChannels;++_t)for(var At=0;At<A.inDepth;++At)for(var zt=0;zt<A.inHeight;++zt)for(var Pt=0;Pt<A.inWidth;++Pt){for(var Ut=At-Xe,Tt=zt-it,Xt=Pt-at,Ht=0,Ot=0;Ot<Oe;Ot+=ve){var Rt=(Ut+Ot)/H;if(Rt<0||Rt>=A.outDepth||Math.floor(Rt)!==Rt)continue;for(var wt=0;wt<De;wt+=ge){var Et=(Tt+wt)/se;if(Et<0||Et>=A.outHeight||Math.floor(Et)!==Et)continue;for(var Vt=0;Vt<Ve;Vt+=Ae){var qt=(Xt+Vt)/te;if(qt<0||qt>=A.outWidth||Math.floor(qt)!==qt)continue;var lr=xt.get(ht,Rt,Et,qt,_t);Ht+=lr}}}$.set(Ht*rt,ht,At,zt,Pt,_t)}return $.toTensor()},ue.prototype.maxPool3d=function(E,D){return X(E,"maxPool3d"),this.pool3d(E,D,"max").toFloat()},ue.prototype.maxPool3dPositions=function(E,D){for(var A=i.buffer(D.outShape,"int32"),H=D.strideDepth,se=D.strideHeight,te=D.strideWidth,_e=D.dilationDepth,ce=D.dilationHeight,fe=D.dilationWidth,ve=D.effectiveFilterDepth,ge=D.effectiveFilterHeight,Ae=D.effectiveFilterWidth,Oe=D.padInfo.front,De=D.padInfo.top,Ve=D.padInfo.left,Xe=this.bufferSync(E),at=0;at<D.batchSize;++at)for(var it=0;it<D.inChannels;++it)for(var $=0;$<D.outDepth;++$){for(var rt=$*H-Oe,xt=rt;xt<0;)xt+=_e;for(var ht=Math.min(D.inDepth,ve+rt),_t=0;_t<D.outHeight;++_t){for(var At=_t*se-De,zt=At;zt<0;)zt+=ce;for(var Pt=Math.min(D.inHeight,ge+At),Ut=0;Ut<D.outWidth;++Ut){for(var Tt=Ut*te-Ve,Xt=Tt;Xt<0;)Xt+=fe;for(var Ht=Math.min(D.inWidth,Ae+Tt),Ot=Number.NEGATIVE_INFINITY,Rt=-1,wt=xt;wt<ht;wt+=_e)for(var Et=wt-rt,Vt=zt;Vt<Pt;Vt+=ce)for(var qt=Vt-At,lr=Xt;lr<Ht;lr+=fe){var ir=lr-Tt,Ie=Xe.get(at,wt,Vt,lr,it);Ie>=Ot&&(Ot=Ie,Rt=Et*ge*Ae+qt*ge+ir)}A.set(Rt,at,$,_t,Ut,it)}}}return A.toTensor()},ue.prototype.maxPool3dBackprop=function(E,D,A,H){X([D,A],"maxPool3dBackprop");for(var se=this.maxPool3dPositions(D,H),te=H.strideDepth,_e=H.strideHeight,ce=H.strideWidth,fe=H.dilationDepth,ve=H.dilationHeight,ge=H.dilationWidth,Ae=H.effectiveFilterDepth,Oe=H.effectiveFilterHeight,De=H.effectiveFilterWidth,Ve=Ae-1-H.padInfo.front,Xe=De-1-H.padInfo.left,at=Oe-1-H.padInfo.top,it=i.buffer(D.shape,"float32"),$=this.bufferSync(se),rt=this.bufferSync(E),xt=0;xt<H.batchSize;++xt)for(var ht=0;ht<H.inChannels;++ht)for(var _t=0;_t<H.inDepth;++_t)for(var At=0;At<H.inHeight;++At)for(var zt=0;zt<H.inWidth;++zt){for(var Pt=_t-Ve,Ut=At-at,Tt=zt-Xe,Xt=0,Ht=0;Ht<Ae;Ht+=fe){var Ot=(Pt+Ht)/te;if(Ot<0||Ot>=H.outDepth||Math.floor(Ot)!==Ot)continue;for(var Rt=0;Rt<Oe;Rt+=ve){var wt=(Ut+Rt)/_e;if(wt<0||wt>=H.outHeight||Math.floor(wt)!==wt)continue;for(var Et=0;Et<De;Et+=ge){var Vt=(Tt+Et)/ce;if(Vt<0||Vt>=H.outWidth||Math.floor(Vt)!==Vt)continue;var qt=Ae*Oe*De-1-$.get(xt,Ot,wt,Vt,ht),lr=Ht*Oe*De+Rt*De+Et,ir=qt===lr?1:0;if(ir===0)continue;var Ie=rt.get(xt,Ot,wt,Vt,ht);Xt+=Ie*ir}}}it.set(Xt,xt,_t,At,zt,ht)}return it.toTensor()},ue.prototype.resizeBilinear=function(E,D,A,H){X(E,"resizeBilinear");for(var se=E.shape,te=se[0],_e=se[1],ce=se[2],fe=se[3],ve=this.readSync(E.dataId),ge=new Float32Array(i.util.sizeFromShape([te,D,A,fe])),Ae=[H&&D>1?_e-1:_e,H&&A>1?ce-1:ce],Oe=[H&&D>1?D-1:D,H&&A>1?A-1:A],De=0,Ve=Ae[0]/Oe[0],Xe=Ae[1]/Oe[1],at=0;at<te;at++)for(var it=0;it<D;it++)for(var $=Ve*it,rt=Math.floor($),xt=$-rt,ht=Math.min(_e-1,Math.ceil($)),_t=at*E.strides[0]+rt*E.strides[1],At=at*E.strides[0]+ht*E.strides[1],zt=0;zt<A;zt++)for(var Pt=Xe*zt,Ut=Math.floor(Pt),Tt=Pt-Ut,Xt=Math.min(ce-1,Math.ceil(Pt)),Ht=_t+Ut*E.strides[2],Ot=At+Ut*E.strides[2],Rt=_t+Xt*E.strides[2],wt=At+Xt*E.strides[2],Et=0;Et<fe;Et++){var Vt=ve[Ht+Et],qt=ve[Ot+Et],lr=ve[Rt+Et],ir=ve[wt+Et],Ie=Vt+(lr-Vt)*Tt,br=qt+(ir-qt)*Tt,Nr=Ie+(br-Ie)*xt;ge[De++]=Nr}return i.tensor(ge,[te,D,A,fe])},ue.prototype.resizeBilinearBackprop=function(E,D,A){X([E,D],"resizeBilinearBackprop");for(var H=D.shape,se=H[0],te=H[1],_e=H[2],ce=H[3],fe=E.shape,ve=fe[1],ge=fe[2],Ae=new Float32Array(se*te*_e*ce),Oe=[A&&ve>1?te-1:te,A&&ge>1?_e-1:_e],De=[A&&ve>1?ve-1:ve,A&&ge>1?ge-1:ge],Ve=Oe[0]/De[0],Xe=Oe[1]/De[1],at=this.readSync(E.dataId),it=0,$=0;$<se;$++)for(var rt=$*D.strides[0],xt=0;xt<ve;xt++)for(var ht=xt*Ve,_t=Math.floor(ht),At=Math.min(Math.ceil(ht),te-1),zt=rt+_t*D.strides[1],Pt=rt+At*D.strides[1],Ut=ht-_t,Tt=1-Ut,Xt=0;Xt<ge;Xt++)for(var Ht=Xt*Xe,Ot=Math.floor(Ht),Rt=Math.min(Math.ceil(Ht),_e-1),wt=Ht-Ot,Et=1-wt,Vt=zt+Ot*D.strides[2],qt=zt+Rt*D.strides[2],lr=Pt+Ot*D.strides[2],ir=Pt+Rt*D.strides[2],Ie=Tt*Et,br=Tt*wt,Nr=Ut*Et,Tr=Ut*wt,pr=0;pr<ce;pr++){var Fr=at[it++];Ae[Vt+pr]+=Fr*Ie,Ae[qt+pr]+=Fr*br,Ae[lr+pr]+=Fr*Nr,Ae[ir+pr]+=Fr*Tr}return i.tensor4d(Ae,[se,_e,te,ce],D.dtype)},ue.prototype.resizeNearestNeighbor=function(E,D,A,H){X(E,"resizeNearestNeighbor");for(var se=E.shape,te=se[0],_e=se[1],ce=se[2],fe=se[3],ve=this.readSync(E.dataId),ge=new Float32Array(te*D*A*fe),Ae=[H&&D>1?_e-1:_e,H&&A>1?ce-1:ce],Oe=[H&&D>1?D-1:D,H&&A>1?A-1:A],De=Ae[0]/Oe[0],Ve=Ae[1]/Oe[1],Xe=0,at=0;at<te;at++)for(var it=at*E.strides[0],$=0;$<D;$++)for(var rt=De*$,xt=Math.min(_e-1,H?Math.round(rt):Math.floor(rt)),ht=it+xt*E.strides[1],_t=0;_t<A;_t++)for(var At=Ve*_t,zt=Math.min(ce-1,H?Math.round(At):Math.floor(At)),Pt=ht+zt*E.strides[2],Ut=0;Ut<fe;Ut++){var Tt=ve[Pt+Ut];ge[Xe++]=Tt}return i.tensor(ge,[te,D,A,fe],E.dtype)},ue.prototype.resizeNearestNeighborBackprop=function(E,D,A){X([E,D],"resizeNearestNeighborBackprop");for(var H=D.shape,se=H[0],te=H[1],_e=H[2],ce=H[3],fe=E.shape,ve=fe[1],ge=fe[2],Ae=new Float32Array(se*te*_e*ce),Oe=this.readSync(E.dataId),De=[A&&ve>1?te-1:te,A&&ge>1?_e-1:_e],Ve=[A&&ve>1?ve-1:ve,A&&ge>1?ge-1:ge],Xe=De[0]/Ve[0],at=De[1]/Ve[1],it=1/Xe,$=1/at,rt=Math.ceil(it)*2+2,xt=Math.ceil($)*2+2,ht=0;ht<se;ht++)for(var _t=ht*D.strides[0],At=0;At<te;At++)for(var zt=_t+At*D.strides[1],Pt=Math.floor(At*it),Ut=Math.floor(Pt-rt/2),Tt=0;Tt<_e;Tt++)for(var Xt=zt+Tt*D.strides[2],Ht=Math.floor(Tt*$),Ot=Math.floor(Ht-xt/2),Rt=0;Rt<ce;Rt++){for(var wt=0,Et=0;Et<rt;Et++){var Vt=Et+Ut;if(Vt<0||Vt>=ve)continue;var qt=_t+Vt*E.strides[1],lr=Vt*Xe,ir=Math.min(te-1,A?Math.round(lr):Math.floor(lr));if(At!==ir)continue;for(var Ie=0;Ie<xt;Ie++){var br=Ie+Ot;if(br<0||br>=ge)continue;var Nr=qt+br*E.strides[2],Tr=br*at,pr=Math.min(_e-1,A?Math.round(Tr):Math.floor(Tr));Tt===pr&&(wt+=Oe[Nr+Rt])}}Ae[Xt+Rt]=wt}return i.tensor4d(Ae,D.shape,D.dtype)},ue.prototype.localResponseNormalization4D=function(E,D,A,H,se){X(E,"localResponseNormalization4D");var te=E.shape[3],_e=te-1,ce=this.readSync(E.dataId),fe=E.size,ve=new Float32Array(fe);function ge(Ve){for(var Xe=Ve%te,at=Ve-Xe+Math.max(0,Xe-D),it=Ve-Xe+Math.min(Xe+D,_e),$=0;at<=it;at++){var rt=ce[at];$+=rt*rt}return $}for(var Ae=0;Ae<fe;Ae++){var Oe=ge(Ae),De=ce[Ae]*Math.pow(A+H*Oe,-se);ve[Ae]=De}return i.tensor4d(ve,E.shape)},ue.prototype.LRNGrad=function(E,D,A,H,se,te,_e){X(E,"LRNGrad");for(var ce=E.shape[3],fe=this.readSync(E.dataId),ve=this.readSync(D.dataId),ge=this.readSync(A.dataId),Ae=new Float32Array(E.size),Oe=E.size,De=0;De<Oe;De++){for(var Ve=De%ce,Xe=De-Ve+Math.max(0,Ve-H),at=De-Ve+Math.min(ce,Ve+H+1),it=0,$=Xe;$<at;$++)it+=Math.pow(ve[$],2);it=te*it+se;for(var $=Xe;$<at;$++){var rt=-2*te*_e*ve[$]*ge[De]/it;De===$&&(rt+=Math.pow(it,-_e)),rt*=fe[De],Ae[$]+=rt}}return i.tensor4d(Ae,E.shape)},ue.prototype.multinomial=function(E,D,A,H){X(E,"multinomial");for(var se=D?E:i.softmax(E),te=se.shape[0],_e=se.shape[1],ce=i.zeros([te,A],"int32"),fe=this.readSync(ce.dataId),ve=this.readSync(se.dataId),ge=0;ge<te;++ge){var Ae=ge*_e,Oe=new Float32Array(_e-1);Oe[0]=ve[Ae];for(var De=1;De<Oe.length;++De)Oe[De]=Oe[De-1]+ve[Ae+De];for(var Ve=we.alea(H.toString()),Xe=ge*A,at=0;at<A;++at){var it=Ve();fe[Xe+at]=Oe.length;for(var $=0;$<Oe.length;$++)if(it<Oe[$]){fe[Xe+at]=$;break}}}return ce},ue.prototype.oneHot=function(E,D,A,H){X(E,"oneHot");var se=new Float32Array(E.size*D);se.fill(H);for(var te=this.readSync(E.dataId),_e=0;_e<E.size;++_e)te[_e]>=0&&te[_e]<D&&(se[_e*D+te[_e]]=A);return i.tensor2d(se,[E.size,D],"int32")},ue.prototype.nonMaxSuppression=function(E,D,A,H,se){X(E,"nonMaxSuppression");var te=this.readSync(E.dataId),_e=this.readSync(D.dataId);return Te(te,_e,A,H,se)},ue.prototype.depthToSpace=function(E,D,A){i.util.assert(A==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+A}),i.util.assert(D>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+D});for(var H=E.shape[0],se=E.shape[1],te=E.shape[2],_e=E.shape[3],ce=se*D,fe=te*D,ve=_e/(D*D),ge=this.readSync(E.dataId),Ae=new Float32Array(H*ce*fe*ve),Oe=0,De=0;De<H;++De)for(var Ve=0;Ve<ce;++Ve)for(var Xe=Math.floor(Ve/D),at=Ve%D,it=0;it<fe;++it)for(var $=Math.floor(it/D),rt=it%D,xt=(at*D+rt)*ve,ht=0;ht<ve;++ht){var _t=ht+xt,At=_t+_e*($+te*(Xe+se*De));Ae[Oe++]=ge[At]}return i.tensor4d(Ae,[H,ce,fe,ve])},ue.prototype.broadcastedBinaryOp=function(E,D,A,H){var se=i.backend_util.assertAndGetBroadcastShape(E.shape,D.shape),te=i.buffer(se,A),_e=this.readSync(E.dataId),ce=this.readSync(D.dataId),fe=i.backend_util.getBroadcastDims(E.shape,se),ve=i.backend_util.getBroadcastDims(D.shape,se),ge=te.values;if(fe.length+ve.length===0)for(var Ae=0;Ae<ge.length;++Ae)ge[Ae]=H(_e[Ae%_e.length],ce[Ae%ce.length]);else for(var Oe=this.bufferSync(E),De=this.bufferSync(D),Ve=function(at){var it=te.indexToLoc(at),$=it.slice(-E.rank);fe.forEach(function(_t){return $[_t]=0});var rt=Oe.locToIndex($),xt=it.slice(-D.rank);ve.forEach(function(_t){return xt[_t]=0});var ht=De.locToIndex(xt);ge[at]=H(_e[rt],ce[ht])},Ae=0;Ae<ge.length;++Ae)Ve(Ae);return te.toTensor()},ue.prototype.split=function(E,D,A){return z(E,D,A)},ue.prototype.dispose=function(){},ue.prototype.floatPrecision=function(){return 32},ue.prototype.epsilon=function(){return ae.prototype.epsilon.call(this)},ue.prototype.cropAndResize=function(E,D,A,H,se,te){for(var _e=E.shape,ce=_e[0],fe=_e[1],ve=_e[2],ge=_e[3],Ae=D.shape[0],Oe=H[0],De=H[1],Ve=i.buffer([Ae,Oe,De,ge],"float32"),Xe=this.readSync(D.dataId),at=this.readSync(A.dataId),it=this.readSync(E.dataId),$=E.strides,rt=Ve.strides,xt=0;xt<Ae;xt++){var ht=xt*4,_t=Xe[ht],At=Xe[ht+1],zt=Xe[ht+2],Pt=Xe[ht+3],Ut=at[xt];if(Ut>=ce)continue;for(var Tt=Oe>1?(zt-_t)*(fe-1)/(Oe-1):0,Xt=De>1?(Pt-At)*(ve-1)/(De-1):0,Ht=0;Ht<Oe;Ht++){var Ot=Oe>1?_t*(fe-1)+Ht*Tt:.5*(_t+zt)*(fe-1);if(Ot<0||Ot>fe-1){for(var Rt=0;Rt<De;Rt++)for(var wt=0;wt<ge;wt++){var Et=wt+Rt*rt[2]+Ht*rt[1]+xt*rt[0];Ve.values[Et]=te}continue}if(se==="bilinear")for(var Vt=Math.floor(Ot),qt=Math.ceil(Ot),lr=Ot-Vt,Rt=0;Rt<De;Rt++){var ir=De>1?At*(ve-1)+Rt*Xt:.5*(At+Pt)*(ve-1);if(ir<0||ir>ve-1){for(var wt=0;wt<ge;wt++){var Et=wt+Rt*rt[2]+Ht*rt[1]+xt*rt[0];Ve.values[Et]=te}continue}for(var Ie=Math.floor(ir),br=Math.ceil(ir),Nr=ir-Ie,wt=0;wt<ge;wt++){var Et=wt+Ie*$[2]+Vt*$[1]+Ut*$[0],Tr=it[Et];Et=wt+br*$[2]+Vt*$[1]+Ut*$[0];var pr=it[Et];Et=wt+Ie*$[2]+qt*$[1]+Ut*$[0];var Fr=it[Et];Et=wt+br*$[2]+qt*$[1]+Ut*$[0];var mr=it[Et],Er=Tr+(pr-Tr)*Nr,an=Fr+(mr-Fr)*Nr;Et=wt+Rt*rt[2]+Ht*rt[1]+xt*rt[0],Ve.values[Et]=Er+(an-Er)*lr}}else for(var Rt=0;Rt<De;++Rt){var ir=De>1?At*(ve-1)+Rt*Xt:.5*(At+Pt)*(ve-1);if(ir<0||ir>ve-1){for(var wt=0;wt<ge;wt++){var Et=wt+Rt*rt[2]+Ht*rt[1]+xt*rt[0];Ve.values[Et]=te}continue}for(var _n=Math.round(ir),ie=Math.round(Ot),wt=0;wt<ge;wt++){var In=wt+_n*$[2]+ie*$[1]+Ut*$[0],wn=wt+Rt*rt[2]+Ht*rt[1]+xt*rt[0];Ve.values[wn]=it[In]}}}}return Ve.toTensor()},ue.prototype.sparseToDense=function(E,D,A,H){var se=i.backend_util.calculateShapes(D,E,A),te=se.sliceRank,_e=se.numUpdates,ce=se.sliceSize,fe=se.strides,ve=se.outputSize,ge=!1;return this.scatter(E,D,A,ve,ce,_e,te,fe,H,ge)},ue.prototype.gatherND=function(E,D){var A=D.shape,H=A[A.length-1],se=i.backend_util.prepareAndValidate(E,D),te=se[0],_e=se[1],ce=se[2],fe=se[3];if(_e===0)return i.tensor([],te,E.dtype);for(var ve=new i.TensorBuffer([_e,ce],E.dtype),ge=this.readSync(D.dataId),Ae=this.readSync(E.dataId),Oe=0;Oe<_e;Oe++){for(var De=[],Ve=0,Xe=0;Xe<H;Xe++){var at=ge[Oe*H+Xe];Ve+=at*fe[Xe],De.push(at)}if(Ve<0||Ve>=E.size/ce)throw new Error("Invalid indices: "+De+" does not index into "+E.shape);for(var it=0;it<ce;it++)ve.values[Oe*ce+it]=Ae[Ve*ce+it]}return ve.toTensor().reshape(te)},ue.prototype.scatterND=function(E,D,A){var H=i.backend_util.calculateShapes(D,E,A),se=H.sliceRank,te=H.numUpdates,_e=H.sliceSize,ce=H.strides,fe=H.outputSize,ve=i.scalar(0),ge=!0;return this.scatter(E,D,A,fe,_e,te,se,ce,ve,ge)},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 D=i.util.getArrayFromDType(E.dtype,i.util.sizeFromShape(E.shape));return this.makeOutput(D,E.shape,E.dtype)},ue.prototype.linspace=function(E,D,A){return i.backend_util.linspaceImpl(E,D,A)},ue.prototype.scatter=function(E,D,A,H,se,te,_e,ce,fe,ve){var ge=[H/se,se],Ae=this.readSync(E.dataId),Oe=this.readSync(D.dataId);if(H===0)return i.tensor([],A,D.dtype);var De=new i.TensorBuffer(ge,D.dtype);De.values.fill(this.readSync(fe.dataId)[0]);for(var Ve=0;Ve<te;Ve++){for(var Xe=[],at=0,it=0;it<_e;it++){var $=Ae[Ve*_e+it];Xe.push($),at+=$*ce[it]}if(at<0||at>=H/se)throw new Error("Invalid indices: "+Xe+" does not index into "+A);for(var rt=0;rt<se;rt++)ve?De.values[at*se+rt]+=Oe[Ve*se+rt]:De.values[at*se+rt]=D.rank===0?Oe[0]:Oe[Ve*se+rt]}return De.toTensor().reshape(A)},ue}(i.KernelBackend);function xe(ae){for(var ue=new Float32Array(ae.length),E=0;E<ae.length;++E)ue[E]=Math.abs(ae[E]);return ue}var We=function(ae){var ue=ae.inputs.x,E=ae.backend,D=new Float32Array(i.util.sizeFromShape(ue.shape));if(ue.dtype!=="complex64"){var A=E.data.get(ue.dataId).values;D=xe(A)}else for(var H=E.data.get(ue.dataId),se=H.complexTensorInfos.real,te=H.complexTensorInfos.imag,_e=E.data.get(se.dataId).values,ce=E.data.get(te.dataId).values,fe=0;fe<_e.length;fe++){var ve=_e[fe],ge=ce[fe];D[fe]=Math.hypot(ve,ge)}return E.makeOutput(D,ue.shape,"float32")},W={kernelName:i.Abs,backendName:"cpu",kernelFunc:We};function st(ae){return function(ue,E,D,A,H){var se=i.backend_util.assertAndGetBroadcastShape(ue,E),te=se.length,_e=i.util.computeStrides(se),ce=i.util.sizeFromShape(se),fe=i.util.getTypedArrayFromDType(H,ce),ve=ue.length,ge=E.length,Ae=i.util.computeStrides(ue),Oe=i.util.computeStrides(E),De=i.backend_util.getBroadcastDims(ue,se),Ve=i.backend_util.getBroadcastDims(E,se);if(De.length+Ve.length===0)for(var Xe=0;Xe<fe.length;++Xe)fe[Xe]=ae(D[Xe%D.length],A[Xe%A.length]);else for(var at=function($){var rt=i.util.indexToLoc($,te,_e),xt=rt.slice(-ve);De.forEach(function(zt){return xt[zt]=0});var ht=i.util.locToIndex(xt,ve,Ae),_t=rt.slice(-ge);Ve.forEach(function(zt){return _t[zt]=0});var At=i.util.locToIndex(_t,ge,Oe);fe[$]=ae(D[ht],A[At])},Xe=0;Xe<fe.length;++Xe)at(Xe);return[fe,se]}}function ut(ae){var ue=ae.inputs,E=ae.backend,D=ue.real,A=ue.imag,H=E.data.get(D.dataId).values,se=E.data.get(A.dataId).values,te=E.makeTensorInfo(D.shape,"complex64"),_e=E.data.get(te.dataId);return _e.complexTensorInfos={real:E.makeTensorInfo(D.shape,"float32",H),imag:E.makeTensorInfo(A.shape,"float32",se)},te}var Kt={kernelName:i.Complex,backendName:"cpu",kernelFunc:ut};function It(ae){var ue=ae.inputs,E=ae.backend,D=ue.x;return E.incRef(D.dataId),{dataId:D.dataId,shape:D.shape,dtype:D.dtype}}var Ze={kernelName:i.Identity,backendName:"cpu",kernelFunc:It};function mt(ae){var ue=ae.inputs,E=ae.backend,D=ue.input,A=E.data.get(D.dataId).complexTensorInfos.real,H=E.data.get(A.dataId).values;return E.makeTensorInfo(A.shape,A.dtype,H)}var yt={kernelName:i.Real,backendName:"cpu",kernelFunc:mt};function $e(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=D.dtype;if(H==="complex64"){if(A.dtype==="complex64")return It({inputs:{x:A},backend:E});var se=i.zeros(A.shape),te=$e({inputs:{x:A},backend:E,attrs:{dtype:"float32"}}),_e=ut({inputs:{real:te,imag:se},backend:E});return se.dispose(),E.disposeIntermediateTensorInfo(te),_e}if(A.dtype==="complex64"){var ce=mt({inputs:{input:A},backend:E}),_e=$e({inputs:{x:ce},backend:E,attrs:{dtype:H}});return E.disposeIntermediateTensorInfo(ce),_e}if(!i.util.hasEncodingLoss(A.dtype,H)){var _e=It({inputs:{x:A},backend:E});return{dataId:_e.dataId,shape:_e.shape,dtype:H}}if(H==="int32"){var fe=E.data.get(A.dataId).values,ve=Int32Array.from(fe);return E.makeTensorInfo(A.shape,"int32",ve)}if(H==="bool"){var ge=E.data.get(A.dataId).values,Ae=i.util.toTypedArray([0],A.dtype),Oe=st(function(Xe,at){return Xe!==at?1:0})(A.shape,[],ge,Ae,"bool"),De=Oe[0],Ve=Oe[1];return E.makeTensorInfo(Ve,"bool",De)}throw new Error("Error in Cast: failed to cast "+A.dtype+" to "+H)}var ot={kernelName:i.Cast,backendName:"cpu",kernelFunc:$e};function nt(ae,ue,E,D){return E==null?function(A){var H=A.inputs,se=A.backend,te=H,_e=te.a,ce=te.b,fe=se;X([_e,ce],ae);var ve=fe.data.get(_e.dataId).values,ge=fe.data.get(ce.dataId).values,Ae=D||_e.dtype,Oe=ue(_e.shape,ce.shape,ve,ge,Ae),De=Oe[0],Ve=Oe[1];return fe.makeTensorInfo(Ve,Ae,De)}:function(A){var H=A.inputs,se=A.backend,te=H,_e=te.a,ce=te.b,fe=se;if(_e.dtype==="complex64"||ce.dtype==="complex64"){var ve=$e({inputs:{x:_e},backend:fe,attrs:{dtype:"complex64"}}),ge=fe.data.get(ve.dataId),Ae=ge.complexTensorInfos.real,Oe=ge.complexTensorInfos.imag,De=fe.data.get(Ae.dataId).values,Ve=fe.data.get(Oe.dataId).values,Xe=$e({inputs:{x:ce},backend:fe,attrs:{dtype:"complex64"}}),at=fe.data.get(Xe.dataId),it=at.complexTensorInfos.real,$=at.complexTensorInfos.imag,rt=fe.data.get(it.dataId).values,xt=fe.data.get($.dataId).values,ht=E(_e.shape,ce.shape,De,Ve,rt,xt),_t=ht[0],At=ht[1],zt=ht[2],Pt=fe.makeTensorInfo(zt,"float32",_t),Ut=fe.makeTensorInfo(zt,"float32",At),Tt=ut({inputs:{real:Pt,imag:Ut},backend:fe});return fe.disposeIntermediateTensorInfo(ve),fe.disposeIntermediateTensorInfo(Xe),fe.disposeIntermediateTensorInfo(Pt),fe.disposeIntermediateTensorInfo(Ut),Tt}else{var Xt=fe.data.get(_e.dataId).values,Ht=fe.data.get(ce.dataId).values,Ot=D||_e.dtype,Rt=ue(_e.shape,ce.shape,Xt,Ht,Ot),wt=Rt[0],zt=Rt[1];return fe.makeTensorInfo(zt,Ot,wt)}}}function et(ae){return function(ue,E,D,A,H,se){var te=i.backend_util.assertAndGetBroadcastShape(ue,E),_e=i.util.sizeFromShape(te),ce=te.length,fe=i.util.computeStrides(te),ve=i.util.getTypedArrayFromDType("float32",_e),ge=i.util.getTypedArrayFromDType("float32",_e),Ae=i.backend_util.getBroadcastDims(ue,te),Oe=i.backend_util.getBroadcastDims(E,te),De=i.backend_util.mergeRealAndImagArrays(D,A),Ve=i.backend_util.mergeRealAndImagArrays(H,se),Xe=ue.length,at=i.util.computeStrides(ue),it=E.length,$=i.util.computeStrides(E);if(Ae.length+Oe.length===0)for(var rt=0;rt<ve.length;rt++){var xt=rt%De.length,ht=rt%Ve.length,_t=ae(De[xt*2],De[xt*2+1],Ve[ht*2],Ve[ht*2+1]);ve[rt]=_t.real,ge[rt]=_t.imag}else for(var At=function(Pt){var Ut=i.util.indexToLoc(Pt,ce,fe),Tt=Ut.slice(-Xe);Ae.forEach(function(wt){return Tt[wt]=0});var 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function(D){var A=D.inputs,H=D.attrs,se=D.backend,te=A.x;if(X(te,ae),te.dtype==="string"||E==="string")throw new Error("unaryKernelFunc does not support string input/output");var _e=se,ce=_e.data.get(te.dataId).values,fe=E||te.dtype,ve=ue(ce,fe,H);return _e.makeTensorInfo(te.shape,fe,ve)}}var da=Pr(function(ae){return Math.ceil(ae)}),Ha=ar(i.Ceil,da),Tn={kernelName:i.Ceil,backendName:"cpu",kernelFunc:Ha},ba=Pr(function(ae){return Math.exp(ae)}),ka=ar(i.Exp,ba),ta={kernelName:i.Exp,backendName:"cpu",kernelFunc:ka},Ma=Pr(function(ae){return Math.expm1(ae)}),Ti=ar(i.Expm1,Ma),Bn={kernelName:i.Expm1,backendName:"cpu",kernelFunc:Ti},ra=Pr(function(ae){return Math.floor(ae)}),cn=ar(i.Floor,ra),za={kernelName:i.Floor,backendName:"cpu",kernelFunc:cn},fn=Pr(function(ae){return Math.log(ae)}),Gn=ar(i.Log,fn),_i={kernelName:i.Log,backendName:"cpu",kernelFunc:Gn};function fa(ae,ue,E,D){for(var A=i.util.getTypedArrayFromDType(D,i.util.sizeFromShape(E)),H=0;H<A.length;++H){for(var se=H*ue,te=ae[se],_e=0;_e<ue;++_e){var ce=ae[se+_e];ce>te&&(te=ce)}A[H]=te}return A}var Hi=st(function(ae,ue){return ae*ue}),Yn=et(function(ae,ue,E,D){return{real:ae*E-ue*D,imag:ae*D+ue*E}}),Wn=nt(i.Multiply,Hi,Yn),Ga={kernelName:i.Multiply,backendName:"cpu",kernelFunc:Wn},Sa=st(function(ae,ue){return ae!==ue?1:0}),hi=nt(i.NotEqual,Sa,null,"bool"),La={kernelName:i.NotEqual,backendName:"cpu",kernelFunc:hi},on=Pr(function(ae){return 1/Math.sqrt(ae)}),xn=ar(i.Rsqrt,on),Ia={kernelName:i.Rsqrt,backendName:"cpu",kernelFunc:xn};function Rr(ae,ue,E,D,A){var H=i.slice_util.isSliceContinous(D,ue,E),se=i.util.sizeFromShape(E),te=i.util.computeStrides(D);if(H){var _e=i.slice_util.computeFlatOffset(ue,te);return ae.subarray(_e,_e+se)}for(var ce=i.util.getTypedArrayFromDType(A,se),fe=0;fe<se;++fe){var ve=E.length,ge=i.util.computeStrides(E),Ae=i.util.indexToLoc(fe,ve,ge),Oe=Ae.map(function(Ve,Xe){return Ve+ue[Xe]}),De=i.util.locToIndex(Oe,D.length,te);ce[fe]=ae[De]}return ce}function Pa(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=D.begin,se=D.size;X(A,"slice");var te=i.slice_util.parseSliceParams(A,H,se),_e=te[0],ce=te[1];i.slice_util.assertParamsValid(A,_e,ce);var fe=E.data.get(A.dataId).values,ve=Rr(fe,_e,ce,A.shape,A.dtype);return E.makeTensorInfo(ce,A.dtype,ve)}var na={kernelName:i.Slice,backendName:"cpu",kernelFunc:Pa},Ei=st(function(ae,ue){var E=ae-ue;return E*E}),Gi=nt(i.SquaredDifference,Ei),Ri={kernelName:i.SquaredDifference,backendName:"cpu",kernelFunc:Gi},jn=st(function(ae,ue){return ae-ue}),ni=et(function(ae,ue,E,D){return{real:ae-E,imag:ue-D}}),pi=nt(i.Sub,jn,ni),ma={kernelName:i.Sub,backendName:"cpu",kernelFunc:pi};function di(ae,ue,E,D,A){for(var H=ue.length,se=i.util.sizeFromShape(ue),te=i.util.computeStrides(ue),_e=i.util.computeStrides(A),ce=i.util.getTypedArrayFromDType(E,i.util.sizeFromShape(A)),fe=0;fe<se;++fe){for(var ve=i.util.indexToLoc(fe,H,te),ge=new Array(ve.length),Ae=0;Ae<ge.length;Ae++)ge[Ae]=ve[D[Ae]];var Oe=i.util.locToIndex(ge,H,_e);ce[Oe]=ae[fe]}return ce}function fi(ae,ue,E,D){for(var A=i.util.parseAxisParam(ue,E)[0],H=[1,E[0],1],se=0;se<A;se++)H[0]*=E[se];H[1]=E[A];for(var se=A+1;se<E.length;se++)H[2]*=E[se];for(var te={},_e=new Int32Array(E[A]),ce=new i.TensorBuffer(H,D,ae),fe=[],ve=H[0]===1&&H[2]===1,se=0;se<E[A];se++){var ge=void 0;if(ve)ge=ae[se].toString();else{for(var Ae=[],Oe=0;Oe<H[0];Oe++)for(var De=0;De<H[2];De++)Ae.push(ce.get(Oe,se,De));ge=Ae.join(",")}if(te[ge]!==void 0)_e[se]=te[ge];else{var Ve=Object.keys(te).length;te[ge]=Ve,_e[se]=Ve,fe.push(se)}}var Xe=H.slice();Xe[1]=Object.keys(te).length;var at=new i.TensorBuffer(Xe,D);fe.forEach(function($,rt){for(var xt=0;xt<H[0];xt++)for(var ht=0;ht<H[2];ht++)at.set(ce.get(xt,$,ht),xt,rt,ht)});var it=E.slice();return it[A]=Xe[1],{outputValues:at.values,outputShape:it,indices:_e}}var ja={__proto__:null,simpleAbsImpl:xe,addImpl:Qt,ceilImpl:da,expImpl:ba,expm1Impl:Ma,floorImpl:ra,logImpl:fn,maxImpl:fa,multiplyImpl:Hi,notEqualImpl:Sa,rsqrtImpl:on,sliceImpl:Rr,squaredDifferenceImpl:Ei,subImpl:jn,transposeImpl:di,uniqueImpl:fi},ln="2.7.0";i.registerBackend("cpu",function(){return new w},1);var ai=_r(i.Elu,function(ae){return ae>=0?ae:Math.exp(ae)-1}),gr={kernelName:i.Elu,backendName:"cpu",kernelFunc:ai},Ai=st(function(ae,ue){return ae<0?ue*ae:ae});function wi(ae){var ue=ae.inputs,E=ae.backend,D=ue.x,A=ue.alpha;X([D,A],"prelu");var H=E.data.get(D.dataId).values,se=E.data.get(A.dataId).values,te=Ai(D.shape,A.shape,H,se,D.dtype),_e=te[0],ce=te[1];return E.makeTensorInfo(ce,D.dtype,_e)}var no={kernelName:i.Prelu,backendName:"cpu",kernelFunc:wi},Qn=_r(i.Relu,function(ae){return Math.max(0,ae)}),ji={kernelName:i.Relu,backendName:"cpu",kernelFunc:Qn},Fi=_r(i.Relu6,function(ae){return Math.min(Math.max(0,ae),6)}),qi={kernelName:i.Relu6,backendName:"cpu",kernelFunc:Fi};function Di(ae,ue,E,D){if(E==="linear")return It({inputs:{x:ue},backend:ae});if(E==="relu")return Qn({inputs:{x:ue},backend:ae});if(E==="elu")return ai({inputs:{x:ue},backend:ae});if(E==="relu6")return Fi({inputs:{x:ue},backend:ae});if(E==="prelu")return wi({inputs:{x:ue,alpha:D},backend:ae});throw new Error("Activation "+E+" has not been implemented for the CPU backend.")}function ya(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=D.shape,se=i.util.sizeFromShape(A.shape),te=i.util.inferFromImplicitShape(H,se),_e=i.util.sizeFromShape(te);i.util.assert(se===_e,function(){return"The new shape ("+te+") has "+_e+" elements and the old "+("shape ("+A.shape+") has "+se+" 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 fe=ce.complexTensorInfos.real,ve=ce.complexTensorInfos.imag;fe.shape=te,ve.shape=te}return{dataId:A.dataId,shape:te,dtype:A.dtype}}var Oi={kernelName:i.Reshape,backendName:"cpu",kernelFunc:ya};function pe(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.a,H=ue.b,se=D.transposeA,te=D.transposeB;X([A,H],"matMul");var _e=A.shape.length,ce=H.shape.length,fe=se?A.shape[_e-2]:A.shape[_e-1],ve=te?H.shape[ce-1]:H.shape[ce-2],ge=se?A.shape[_e-1]:A.shape[_e-2],Ae=te?H.shape[ce-2]:H.shape[ce-1],Oe=A.shape.slice(0,-2),De=H.shape.slice(0,-2),Ve=i.util.sizeFromShape(Oe),Xe=i.util.sizeFromShape(De),at=Ve===Xe||Ve===1||Xe===1;i.util.assert(_e>=2&&ce>=2&&at,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 ("+De+").")});var it=Ve>Xe?A.shape.slice(0,-2):H.shape.slice(0,-2),$=it.concat([ge,Ae]);i.util.assert(fe===ve,function(){return"Error in matMul: inner shapes ("+fe+") and ("+(ve+") of Tensors with shapes "+A.shape+" and ")+(H.shape+" and transposeA="+se)+(" and transposeB="+te+" must match.")});for(var rt=se?[Ve,fe,ge]:[Ve,ge,fe],xt=te?[Xe,Ae,ve]:[Xe,ve,Ae],ht=ya({inputs:{x:A},backend:E,attrs:{shape:rt}}),_t=ya({inputs:{x:H},backend:E,attrs:{shape:xt}}),At=se?ht.shape[1]:ht.shape[2],zt=se?ht.shape[2]:ht.shape[1],Pt=te?_t.shape[1]:_t.shape[2],Ut=Math.max(Ve,Xe),Tt=E.data.get(ht.dataId).values,Xt=E.data.get(_t.dataId).values,Ht=i.util.computeStrides(ht.shape),Ot=i.util.computeStrides(_t.shape),Rt=se?[Ht[0],1,Ht[1]]:[Ht[0],Ht[1],1],wt=Rt[0],Et=Rt[1],Vt=Rt[2],qt=te?[1,Ot[1],Ot[0]]:[Ot[1],1,Ot[0]],lr=qt[0],ir=qt[1],Ie=qt[2],br=zt*Pt,Nr=i.buffer([Ut,zt,Pt],ht.dtype),Tr=Nr.values,pr=E.blockSize,Fr=0;Fr<Ut;Fr++)for(var mr=0;mr<zt;mr+=pr)for(var Er=0;Er<Pt;Er+=pr)for(var an=0;an<At;an+=pr)for(var _n=Math.min(mr+pr,zt),ie=Math.min(Er+pr,Pt),In=Math.min(an+pr,At),wn=mr;wn<_n;wn++)for(var Re=Er;Re<ie;Re++){for(var Un=0,Ln=an;Ln<In;Ln++){var Oa=Math.min(Fr,Ve-1)*wt,An=Math.min(Fr,Xe-1)*Ie,Ja=Tt[Oa+wn*Et+Ln*Vt],Wa=Xt[Ln*lr+Re*ir+An];Un+=Ja*Wa}Tr[Fr*br+(wn*Pt+Re)]+=Un}return E.disposeIntermediateTensorInfo(ht),E.disposeIntermediateTensorInfo(_t),E.makeTensorInfo($,Nr.dtype,Nr.values)}var Y={kernelName:i.BatchMatMul,backendName:"cpu",kernelFunc:pe};function j(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.a,H=ue.b,se=ue.bias,te=ue.preluActivationWeights,_e=D.transposeA,ce=D.transposeB,fe=D.activation,ve,ge,Ae,Oe=[],De=pe({inputs:{a:A,b:H},attrs:{transposeA:_e,transposeB:ce},backend:E});ve=De,se&&(ge=jt({inputs:{a:ve,b:se},backend:E}),Oe.push(ve),ve=ge),fe&&(Ae=Di(E,ve,fe,te),Oe.push(ve),ve=Ae);for(var Ve=0,Xe=Oe;Ve<Xe.length;Ve++){var at=Xe[Ve];E.disposeIntermediateTensorInfo(at)}return ve}var ne={kernelName:i._FusedMatMul,backendName:"cpu",kernelFunc:j},re=_r(i.Acos,function(ae){return Math.acos(ae)}),Ue={kernelName:i.Acos,backendName:"cpu",kernelFunc:re},kt=_r(i.Acosh,function(ae){return Math.acosh(ae)}),tt={kernelName:i.Acosh,backendName:"cpu",kernelFunc:kt},ze=_r(i.Asin,function(ae){return Math.asin(ae)}),Ye={kernelName:i.Asin,backendName:"cpu",kernelFunc:ze},Dt=_r(i.Asinh,function(ae){return Math.asinh(ae)}),St={kernelName:i.Asinh,backendName:"cpu",kernelFunc:Dt},Mt=_r(i.Atan,function(ae){return Math.atan(ae)}),fr={kernelName:i.Atan,backendName:"cpu",kernelFunc:Mt},or=_r(i.Atanh,function(ae){return Math.atanh(ae)}),aa={kernelName:i.Atanh,backendName:"cpu",kernelFunc:or};function va(ae,ue,E,D,A,H){for(var se=A.strideHeight,te=A.strideWidth,_e=A.dilationHeight,ce=A.dilationWidth,fe=A.effectiveFilterHeight,ve=A.effectiveFilterWidth,ge=A.padInfo.top,Ae=A.padInfo.left,Oe=H==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,De=i.buffer(A.outShape,E),Ve=De.values,Xe=A.outShape[1]*A.outShape[2]*A.outShape[3],at=A.outShape[2]*A.outShape[3],it=A.outShape[3],$=0;$<A.batchSize;++$)for(var rt=$*Xe,xt=$*D[0],ht=0;ht<A.inChannels;++ht)for(var _t=0;_t<A.outHeight;++_t)for(var At=_t*se-ge,zt=Math.max(0,At),Pt=Math.min(A.inHeight,fe+At),Ut=rt+_t*at,Tt=0;Tt<A.outWidth;++Tt){for(var Xt=Tt*te-Ae,Ht=Math.max(0,Xt),Ot=Math.min(A.inWidth,ve+Xt),Rt=Oe,wt=0,Et=0,Vt=zt;Vt<Pt;Vt+=_e){for(var qt=xt+Vt*D[1],lr=Ht;lr<Ot;lr+=ce){var ir=qt+lr*D[2],Ie=ae[ir+ht];H==="max"&&Ie>Rt?Rt=Ie:H==="avg"&&(wt+=Ie,Et++)}if(isNaN(Rt))break}var br=Ut+Tt*it+ht;Ve[br]=H==="avg"?wt/Et:Rt}return De}function ia(ae,ue,E,D,A,H){A===void 0&&(A=!1),H===void 0&&(H=!1);for(var se=i.buffer(D.outShape,"int32"),te=D.strideHeight,_e=D.strideWidth,ce=D.dilationHeight,fe=D.dilationWidth,ve=D.effectiveFilterHeight,ge=D.effectiveFilterWidth,Ae=D.padInfo.top,Oe=D.padInfo.left,De=i.buffer(ue,E,ae),Ve=0;Ve<D.batchSize;++Ve)for(var Xe=0;Xe<D.inChannels;++Xe)for(var at=0;at<D.outHeight;++at){for(var it=at*te-Ae,$=it;$<0;)$+=ce;for(var rt=Math.min(D.inHeight,ve+it),xt=0;xt<D.outWidth;++xt){for(var ht=xt*_e-Oe,_t=ht;_t<0;)_t+=fe;for(var At=Math.min(D.inWidth,ge+ht),zt=Number.NEGATIVE_INFINITY,Pt=-1,Ut=$;Ut<rt;Ut+=ce)for(var Tt=Ut-it,Xt=_t;Xt<At;Xt+=fe){var Ht=Xt-ht,Ot=De.get(Ve,Ut,Xt,Xe);Ot>zt&&(zt=Ot,A?Pt=H?((Ve*D.inHeight+Ut)*D.inWidth+Xt)*D.inChannels+Xe:(Ut*D.inWidth+Xt)*D.inChannels+Xe:Pt=Tt*ge+Ht)}se.set(Pt,Ve,at,xt,Xe)}}return se}function qa(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x;X(A,"avgPool");var H=D.filterSize,se=D.strides,te=D.pad,_e=D.dimRoundingMode,ce=1;i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(se,ce),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+se+" and dilations '"+ce+"'")});var fe=i.backend_util.computePool2DInfo(A.shape,H,se,ce,te,_e),ve;if(fe.filterWidth===1&&fe.filterHeight===1&&i.util.arraysEqual(fe.inShape,fe.outShape))ve=It({inputs:{x:A},backend:E});else{var ge=E.data.get(A.dataId).values,Ae=i.util.computeStrides(A.shape),Oe=va(ge,A.shape,A.dtype,Ae,fe,"avg");ve=E.makeTensorInfo(fe.outShape,A.dtype,Oe.values)}return ve}var bi={kernelName:i.AvgPool,backendName:"cpu",kernelFunc:qa};function rn(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.dy,H=ue.input,se=H;X([A,H],"avgPoolBackprop");for(var te=D.filterSize,_e=D.strides,ce=D.pad,fe=i.backend_util.computePool2DInfo(se.shape,te,_e,1,ce),ve=fe.strideHeight,ge=fe.strideWidth,Ae=fe.filterHeight,Oe=fe.filterWidth,De=fe.dilationHeight,Ve=fe.dilationWidth,Xe=fe.effectiveFilterHeight,at=fe.effectiveFilterWidth,it=at-1-fe.padInfo.left,$=Xe-1-fe.padInfo.top,rt=i.buffer(se.shape,"float32"),xt=1/(Ae*Oe),ht=E.data.get(A.dataId).values,_t=i.buffer(A.shape,"float32",ht),At=0;At<fe.batchSize;++At)for(var zt=0;zt<fe.inChannels;++zt)for(var Pt=0;Pt<fe.inHeight;++Pt)for(var Ut=0;Ut<fe.inWidth;++Ut){for(var Tt=Pt-$,Xt=Ut-it,Ht=0,Ot=0;Ot<Xe;Ot+=De){var Rt=(Tt+Ot)/ve;if(Rt<0||Rt>=fe.outHeight||Math.floor(Rt)!==Rt)continue;for(var wt=0;wt<at;wt+=Ve){var Et=(Xt+wt)/ge;if(Et<0||Et>=fe.outWidth||Math.floor(Et)!==Et)continue;var Vt=_t.get(At,Rt,Et,zt);Ht+=Vt}}rt.set(Ht*xt,At,Pt,Ut,zt)}return E.makeTensorInfo(rt.shape,rt.dtype,rt.values)}var hn={kernelName:i.AvgPoolBackprop,backendName:"cpu",kernelFunc:rn};function oa(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.scale,se=ue.offset,te=ue.mean,_e=ue.variance;i.util.assert(te.shape.length===_e.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),i.util.assert(se==null||te.shape.length===se.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),i.util.assert(H==null||te.shape.length===H.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),X([A,te,_e,H,se],"batchNorm");var ce=D.varianceEpsilon;ce==null&&(ce=.001);for(var fe=E.data.get(A.dataId).values,ve=E.data.get(te.dataId).values,ge=E.data.get(_e.dataId).values,Ae=H?E.data.get(H.dataId).values:new Float32Array([1]),Oe=se?E.data.get(se.dataId).values:new Float32Array([0]),De=new Float32Array(fe.length),Ve=Oe.length,Xe=Ae.length,at=ge.length,it=ve.length,$=0,rt=0,xt=0,ht=0,_t=0;_t<fe.length;++_t)De[_t]=Oe[$++]+(fe[_t]-ve[rt++])*Ae[xt++]/Math.sqrt(ge[ht++]+ce),$>=Ve&&($=0),rt>=it&&(rt=0),xt>=Xe&&(xt=0),ht>=at&&(ht=0);return E.makeTensorInfo(A.shape,A.dtype,De)}var Jr={kernelName:i.FusedBatchNorm,backendName:"cpu",kernelFunc:oa},Vr=_r(i.ClipByValue,function(ae,ue){var E=ue;return ae>E.clipValueMax?E.clipValueMax:ae<E.clipValueMin?E.clipValueMin:ae}),Jn={kernelName:i.ClipByValue,backendName:"cpu",kernelFunc:Vr};function tn(ae){var ue=ae.inputs,E=ae.backend,D=ue.input,A=E.data.get(D.dataId).complexTensorInfos.imag,H=E.data.get(A.dataId).values;return E.makeTensorInfo(A.shape,A.dtype,H)}var En={kernelName:i.Imag,backendName:"cpu",kernelFunc:tn};function qn(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=D.axis,H=i.util.parseAxisParam(A,ue[0].shape)[0],se=i.backend_util.computeOutShape(ue.map(function($){return $.shape}),H);if(i.util.sizeFromShape(se)===0)return E.makeTensorInfo(se,ue[0].dtype,[]);var te=ue.filter(function($){return i.util.sizeFromShape($.shape)>0});if(te.length===1)return te[0];var _e=te.map(function($){return $.shape});if(i.backend_util.assertParamsConsistent(_e,H),te[0].dtype==="complex64"){var ce=te.map(function($){return mt({inputs:{input:$},backend:E})}),fe=te.map(function($){return tn({inputs:{input:$},backend:E})}),ve=qn({inputs:ce,backend:E,attrs:{axis:H}}),ge=qn({inputs:fe,backend:E,attrs:{axis:H}}),Ae=ut({inputs:{real:ve,imag:ge},backend:E});return ce.forEach(function($){return E.disposeIntermediateTensorInfo($)}),fe.forEach(function($){return E.disposeIntermediateTensorInfo($)}),E.disposeIntermediateTensorInfo(ve),E.disposeIntermediateTensorInfo(ge),Ae}var Oe=te.map(function($){var rt=i.util.sizeFromShape($.shape.slice(H)),xt=[-1,rt];return ya({inputs:{x:$},backend:E,attrs:{shape:xt}})});se=i.backend_util.computeOutShape(Oe.map(function($){return $.shape}),1);var De=i.util.getTypedArrayFromDType(te[0].dtype,i.util.sizeFromShape(se));if(Oe[0].shape[0]===1){var Ve=0;Oe.forEach(function($){var rt=E.data.get($.dataId).values,xt=i.util.sizeFromShape($.shape);De.set(rt,Ve),Ve+=xt})}else{var Xe=0;Oe.forEach(function($){for(var rt=E.data.get($.dataId).values,xt=0,ht=0;ht<$.shape[0];++ht)for(var _t=ht*se[1]+Xe,At=0;At<$.shape[1];++At)De[_t+At]=rt[xt++];Xe+=$.shape[1]})}var at=i.backend_util.computeOutShape(te.map(function($){return $.shape}),H),it=E.makeTensorInfo(at,ue[0].dtype,De);return Oe.forEach(function($){return E.disposeIntermediateTensorInfo($)}),it}var sa={kernelName:i.Concat,backendName:"cpu",kernelFunc:qn};function ga(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.filter,se=D.strides,te=D.pad,_e=D.dataFormat,ce=D.dilations,fe=D.dimRoundingMode;X([A,H],"conv2d");for(var ve=i.backend_util.convertConv2DDataFormat(_e),ge=i.backend_util.computeConv2DInfo(A.shape,H.shape,se,ce,te,fe,!1,ve),Ae=ge.filterHeight,Oe=ge.filterWidth,De=ge.dilationHeight,Ve=ge.dilationWidth,Xe=ge.padInfo.left,at=ge.padInfo.top,it=ge.dataFormat==="channelsLast",$=new i.TensorBuffer(ge.outShape,A.dtype),rt=i.util.computeStrides(A.shape),xt=i.util.computeStrides(H.shape),ht=rt[0],_t=it?rt[1]:rt[2],At=it?rt[2]:1,zt=it?1:rt[1],Pt=$.strides[0],Ut=it?$.strides[1]:$.strides[2],Tt=it?$.strides[2]:1,Xt=it?1:$.strides[1],Ht=E.data.get(A.dataId).values,Ot=E.data.get(H.dataId).values,Rt=$.values,wt=0;wt<ge.batchSize;++wt)for(var Et=wt*ht,Vt=wt*Pt,qt=0;qt<ge.outHeight;++qt)for(var lr=Vt+qt*Ut,ir=qt*ge.strideHeight-at,Ie=0;Ie<Ae;++Ie){var br=ir+Ie*De;if(br<0||br>=ge.inHeight)continue;for(var Nr=Ie*xt[0],Tr=Et+br*_t,pr=0;pr<ge.outWidth;++pr)for(var Fr=lr+pr*Tt,mr=pr*ge.strideWidth-Xe,Er=0;Er<Oe;++Er){var an=mr+Er*Ve;if(an<0||an>=ge.inWidth)continue;for(var _n=Nr+Er*xt[1],ie=Tr+an*At,In=_n,wn=0;wn<ge.inChannels;++wn){for(var Re=Ht[ie+wn*zt],Un=0;Un<ge.outChannels;++Un)Rt[Fr+Un*Xt]+=Re*Ot[In+Un];In+=ge.outChannels}}}return E.makeTensorInfo($.shape,$.dtype,Rt)}var Mi={kernelName:i.Conv2D,backendName:"cpu",kernelFunc:ga};function Aa(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.dy,se=D.strides,te=D.pad,_e=D.dataFormat,ce=D.dimRoundingMode,fe=D.filterShape;X([A,H],"conv2dBackpropFilter");for(var ve=i.backend_util.convertConv2DDataFormat(_e),ge=i.backend_util.computeConv2DInfo(A.shape,fe,se,1,te,ce,!1,ve),Ae=ge.strideHeight,Oe=ge.strideWidth,De=ge.filterHeight,Ve=ge.filterWidth,Xe=ge.dataFormat==="channelsLast",at=new i.TensorBuffer(ge.filterShape,"float32"),it=ge.padInfo.left,$=ge.padInfo.top,rt=E.data.get(A.dataId).values,xt=E.data.get(H.dataId).values,ht=new i.TensorBuffer(A.shape,A.dtype,rt),_t=new i.TensorBuffer(H.shape,H.dtype,xt),At=0;At<De;++At)for(var zt=Math.max(0,Math.ceil(($-At)/Ae)),Pt=Math.min(ge.outHeight,(ge.inHeight+$-At)/Ae),Ut=0;Ut<Ve;++Ut)for(var Tt=Math.max(0,Math.ceil((it-Ut)/Oe)),Xt=Math.min(ge.outWidth,(ge.inWidth+it-Ut)/Oe),Ht=0;Ht<ge.inChannels;++Ht)for(var Ot=0;Ot<ge.outChannels;++Ot){for(var Rt=0,wt=0;wt<ge.batchSize;++wt)for(var Et=zt;Et<Pt;++Et)for(var Vt=At+Et*Ae-$,qt=Tt;qt<Xt;++qt){var lr=Ut+qt*Oe-it;Xe?Rt+=ht.get(wt,Vt,lr,Ht)*_t.get(wt,Et,qt,Ot):Rt+=ht.get(wt,Ht,Vt,lr)*_t.get(wt,Ot,Et,qt)}at.set(Rt,At,Ut,Ht,Ot)}return E.makeTensorInfo(at.shape,at.dtype,at.values)}var S={kernelName:i.Conv2DBackpropFilter,backendName:"cpu",kernelFunc:Aa};function x(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.dy,H=ue.filter,se=D.inputShape,te=D.strides,_e=D.pad,ce=D.dataFormat,fe=D.dimRoundingMode;X([A,H],"conv2dBackpropInput");var ve=i.util.computeStrides(H.shape),ge=i.util.computeStrides(A.shape),Ae=i.backend_util.convertConv2DDataFormat(ce),Oe=i.backend_util.computeConv2DInfo(se,H.shape,te,1,_e,fe,!1,Ae),De=new i.TensorBuffer(Oe.inShape,"float32"),Ve=De.values,Xe=E.data.get(A.dataId).values,at=E.data.get(H.dataId).values,it=ve[0],$=ve[1],rt=ve[2],xt=Oe.batchSize,ht=Oe.filterHeight,_t=Oe.filterWidth,At=Oe.inChannels,zt=Oe.inHeight,Pt=Oe.inWidth,Ut=Oe.outChannels,Tt=Oe.outHeight,Xt=Oe.outWidth,Ht=Oe.strideHeight,Ot=Oe.strideWidth;Ae=Oe.dataFormat;for(var Rt=ht-1-Oe.padInfo.top,wt=_t-1-Oe.padInfo.left,Et=Ae==="channelsLast",Vt=De.strides[0],qt=Et?De.strides[1]:De.strides[2],lr=Et?De.strides[2]:1,ir=Et?1:De.strides[1],Ie=ge[0],br=Et?ge[1]:ge[2],Nr=Et?ge[2]:1,Tr=Et?1:ge[1],pr=0;pr<xt;++pr)for(var Fr=0;Fr<At;++Fr)for(var mr=0;mr<zt;++mr)for(var Er=mr-Rt,an=Math.max(0,Math.ceil(Er/Ht)),_n=Math.min(Tt,(ht+Er)/Ht),ie=0;ie<Pt;++ie){for(var In=ie-wt,wn=Math.max(0,Math.ceil(In/Ot)),Re=Math.min(Xt,(_t+In)/Ot),Un=0,Ln=an;Ln<_n;++Ln)for(var Oa=Ln*Ht-Er,An=wn;An<Re;++An)for(var Ja=An*Ot-In,Wa=Ie*pr+br*Ln+Nr*An,$a=it*(ht-1-Oa)+$*(_t-1-Ja)+rt*Fr,xa=0;xa<Ut;++xa){var _a=Xe[Wa+Tr*xa],Zi=at[$a+xa];Un+=_a*Zi}var Bi=Vt*pr+qt*mr+lr*ie+ir*Fr;Ve[Bi]=Un}return E.makeTensorInfo(De.shape,De.dtype,De.values)}var k={kernelName:i.Conv2DBackpropInput,backendName:"cpu",kernelFunc:x};function K(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.filter,se=D.strides,te=D.pad,_e=D.dilations;X([A,H],"conv3d");for(var ce=i.backend_util.computeConv3DInfo(A.shape,H.shape,se,_e,te),fe=ce.filterDepth,ve=ce.filterHeight,ge=ce.filterWidth,Ae=ce.dilationDepth,Oe=ce.dilationHeight,De=ce.dilationWidth,Ve=ce.padInfo,Xe=Ve.front,at=Ve.left,it=Ve.top,$=new i.TensorBuffer(ce.outShape,A.dtype),rt=E.data.get(A.dataId).values,xt=E.data.get(H.dataId).values,ht=$.values,_t=i.util.computeStrides(A.shape),At=i.util.computeStrides(H.shape),zt=0;zt<ce.batchSize;++zt)for(var Pt=zt*_t[0],Ut=zt*$.strides[0],Tt=0;Tt<ce.outDepth;++Tt)for(var Xt=Ut+Tt*$.strides[1],Ht=Tt*ce.strideDepth-Xe,Ot=0;Ot<fe;++Ot){var Rt=Ht+Ot*Ae;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 qt=Xt+Vt*$.strides[2],lr=Vt*ce.strideHeight-it,ir=0;ir<ve;++ir){var Ie=lr+ir*Oe;if(Ie<0||Ie>=ce.inHeight)continue;for(var br=wt+ir*At[1],Nr=Et+Ie*_t[2],Tr=0;Tr<ce.outWidth;++Tr)for(var pr=qt+Tr*ce.outChannels,Fr=Tr*ce.strideWidth-at,mr=0;mr<ge;++mr){var Er=Fr+mr*De;if(Er<0||Er>=ce.inWidth)continue;for(var an=br+mr*At[2],_n=Nr+Er*ce.inChannels,ie=an,In=0;In<ce.inChannels;++In){for(var wn=rt[_n+In],Re=0;Re<ce.outChannels;++Re)ht[pr+Re]+=wn*xt[ie+Re];ie+=ce.outChannels}}}}return E.makeTensorInfo($.shape,$.dtype,$.values)}var Se={kernelName:i.Conv3D,backendName:"cpu",kernelFunc:K};function be(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.dy,se=D.strides,te=D.pad,_e=D.filterShape;X([A,H],"conv3dBackpropFilterV2");for(var ce=i.util.computeStrides(A.shape),fe=i.util.computeStrides(H.shape),ve=i.backend_util.computeConv3DInfo(A.shape,_e,se,1,te),ge=ve.strideDepth,Ae=ve.strideHeight,Oe=ve.strideWidth,De=ve.filterDepth,Ve=ve.filterHeight,Xe=ve.filterWidth,at=new i.TensorBuffer(ve.filterShape,"float32"),it=at.values,$=at.strides,rt=$[0],xt=$[1],ht=$[2],_t=$[3],At=E.data.get(H.dataId).values,zt=fe[0],Pt=fe[1],Ut=fe[2],Tt=fe[3],Xt=E.data.get(A.dataId).values,Ht=ce[0],Ot=ce[1],Rt=ce[2],wt=ce[3],Et=ve.padInfo.front,Vt=ve.padInfo.left,qt=ve.padInfo.top,lr=0;lr<De;++lr)for(var ir=Math.max(0,Math.ceil((Et-lr)/ge)),Ie=Math.min(ve.outDepth,(ve.inDepth+Et-lr)/ge),br=lr*rt,Nr=0;Nr<Ve;++Nr)for(var Tr=Math.max(0,Math.ceil((qt-Nr)/Ae)),pr=Math.min(ve.outHeight,(ve.inHeight+qt-Nr)/Ae),Fr=Nr*xt+br,mr=0;mr<Xe;++mr)for(var Er=Math.max(0,Math.ceil((Vt-mr)/Oe)),an=Math.min(ve.outWidth,(ve.inWidth+Vt-mr)/Oe),_n=mr*ht+Fr,ie=0;ie<ve.inChannels;++ie)for(var In=ie*_t+_n,wn=0;wn<ve.outChannels;++wn){for(var Re=0,Un=0;Un<ve.batchSize;++Un)for(var Ln=Un*Ht,Oa=Un*zt,An=ir;An<Ie;++An)for(var Ja=lr+An*ge-Et,Wa=Ja*Ot+Ln,$a=An*Pt+Oa,xa=Tr;xa<pr;++xa)for(var _a=Nr+xa*Ae-qt,Zi=_a*Rt+Wa,Bi=xa*Ut+$a,Mr=Er;Mr<an;++Mr){var ei=mr+Mr*Oe-Vt,as=ei*wt+Zi,Po=Mr*Tt+Bi;Re+=Xt[as+ie]*At[Po+wn]}it[In+wn]=Re}return E.makeTensorInfo(at.shape,at.dtype,at.values)}var Je={kernelName:i.Conv3DBackpropFilterV2,backendName:"cpu",kernelFunc:be};function Pe(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.dy,H=ue.filter,se=D.pad,te=D.strides,_e=D.inputShape;X([A],"conv3dBackpropInputV2");for(var ce=i.util.computeStrides(A.shape),fe=i.util.computeStrides(H.shape),ve=i.backend_util.computeConv3DInfo(_e,H.shape,te,1,se),ge=new i.TensorBuffer(ve.inShape,"float32"),Ae=ge.values,Oe=ge.strides,De=Oe[0],Ve=Oe[1],Xe=Oe[2],at=Oe[3],it=E.data.get(A.dataId).values,$=ce[0],rt=ce[1],xt=ce[2],ht=ce[3],_t=E.data.get(H.dataId).values,At=fe[0],zt=fe[1],Pt=fe[2],Ut=fe[3],Tt=ve.batchSize,Xt=ve.filterDepth,Ht=ve.filterHeight,Ot=ve.filterWidth,Rt=ve.inChannels,wt=ve.inDepth,Et=ve.inHeight,Vt=ve.inWidth,qt=ve.outChannels,lr=ve.outDepth,ir=ve.outHeight,Ie=ve.outWidth,br=ve.strideDepth,Nr=ve.strideHeight,Tr=ve.strideWidth,pr=Xt-1-ve.padInfo.front,Fr=Ht-1-ve.padInfo.top,mr=Ot-1-ve.padInfo.left,Er=0;Er<Tt;++Er)for(var an=0;an<Rt;++an)for(var _n=0;_n<wt;++_n)for(var ie=_n-pr,In=Math.max(0,Math.ceil(ie/br)),wn=Math.min(lr,(Xt+ie)/br),Re=0;Re<Et;++Re)for(var Un=Re-Fr,Ln=Math.max(0,Math.ceil(Un/Nr)),Oa=Math.min(ir,(Ht+Un)/Nr),An=0;An<Vt;++An){for(var Ja=An-mr,Wa=Math.max(0,Math.ceil(Ja/Tr)),$a=Math.min(Ie,(Ot+Ja)/Tr),xa=0,_a=In;_a<wn;++_a)for(var Zi=_a*br-ie,Bi=Ln;Bi<Oa;++Bi)for(var Mr=Bi*Nr-Un,ei=Wa;ei<$a;++ei)for(var as=ei*Tr-Ja,Po=$*Er+rt*_a+xt*Bi+ht*ei,dn=At*(Xt-1-Zi)+zt*(Ht-1-Mr)+Pt*(Ot-1-as)+Ut*an,Bo=0;Bo<qt;++Bo){var Fn=it[Po+Bo],ou=_t[dn+Bo];xa+=Fn*ou}Ae[De*Er+Ve*_n+Xe*Re+at*An+an]=xa}return E.makeTensorInfo(ge.shape,ge.dtype,ge.values)}var gt={kernelName:i.Conv3DBackpropInputV2,backendName:"cpu",kernelFunc:Pe},ft=_r(i.Cos,function(ae){return Math.cos(ae)}),Lt={kernelName:i.Cos,backendName:"cpu",kernelFunc:ft},Wt=_r(i.Cosh,function(ae){return Math.cosh(ae)}),Gt={kernelName:i.Cosh,backendName:"cpu",kernelFunc:Wt};function Jt(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.filter,se=D.strides,te=D.pad,_e=D.dilations,ce=D.dimRoundingMode;X([A,H],"depthwiseConv2DNative");var fe=i.util.computeStrides(A.shape),ve=i.util.computeStrides(H.shape),ge=_e;ge==null&&(ge=[1,1]),i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(se,ge),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+("1. Got strides "+se+" and dilations '"+ge+"'")});for(var Ae=i.backend_util.computeConv2DInfo(A.shape,H.shape,se,ge,te,ce,!0),Oe=Ae.filterHeight,De=Ae.filterWidth,Ve=Ae.dilationHeight,Xe=Ae.dilationWidth,at=Ae.padInfo,it=at.left,$=at.top,rt=Ae.outChannels/Ae.inChannels,xt=new i.TensorBuffer(Ae.outShape,A.dtype),ht=E.data.get(A.dataId).values,_t=E.data.get(H.dataId).values,At=xt.values,zt=0;zt<Ae.batchSize;++zt)for(var Pt=zt*fe[0],Ut=zt*xt.strides[0],Tt=0;Tt<Ae.outHeight;++Tt)for(var Xt=Ut+Tt*xt.strides[1],Ht=Tt*Ae.strideHeight-it,Ot=0;Ot<Oe;++Ot){var Rt=Ht+Ot*Ve;if(Rt<0||Rt>=Ae.inHeight)continue;for(var wt=Ot*ve[0],Et=Pt+Rt*fe[1],Vt=0;Vt<Ae.outWidth;++Vt)for(var qt=Xt+Vt*xt.strides[2],lr=Vt*Ae.strideWidth-$,ir=0;ir<De;++ir){var Ie=lr+ir*Xe;if(Ie<0||Ie>=Ae.inWidth)continue;for(var br=wt+ir*ve[1],Nr=Et+Ie*Ae.inChannels,Tr=qt,pr=br,Fr=0;Fr<Ae.inChannels;++Fr){for(var mr=ht[Nr+Fr],Er=0;Er<rt;++Er)At[Tr+Er]+=mr*_t[pr+Er];Tr+=rt,pr+=rt}}}return E.makeTensorInfo(xt.shape,xt.dtype,xt.values)}var wr={kernelName:i.DepthwiseConv2dNative,backendName:"cpu",kernelFunc:Jt};function Ar(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.dy,se=D.strides,te=D.dilations,_e=D.pad,ce=D.dimRoundingMode,fe=D.filterShape;X([A,H],"depthwiseConv2dNativeBackpropFilter");for(var ve=i.backend_util.computeConv2DInfo(A.shape,fe,se,te,_e,ce,!0),ge=ve.strideHeight,Ae=ve.strideWidth,Oe=ve.filterHeight,De=ve.filterWidth,Ve=new i.TensorBuffer(ve.filterShape,"float32"),Xe=ve.padInfo.left,at=ve.padInfo.top,it=ve.outChannels/ve.inChannels,$=E.data.get(A.dataId).values,rt=new i.TensorBuffer(A.shape,A.dtype,$),xt=E.data.get(H.dataId).values,ht=new i.TensorBuffer(H.shape,H.dtype,xt),_t=0;_t<Oe;++_t)for(var At=Math.max(0,Math.ceil((at-_t)/ge)),zt=Math.min(ve.outHeight,(ve.inHeight+at-_t)/ge),Pt=0;Pt<De;++Pt)for(var Ut=Math.max(0,Math.ceil((Xe-Pt)/Ae)),Tt=Math.min(ve.outWidth,(ve.inWidth+Xe-Pt)/Ae),Xt=0;Xt<ve.outChannels;++Xt){for(var Ht=Math.trunc(Xt/it),Ot=Xt%it,Rt=0,wt=0;wt<ve.batchSize;++wt)for(var Et=At;Et<zt;++Et)for(var Vt=_t+Et*ge-at,qt=Ut;qt<Tt;++qt){var lr=Pt+qt*Ae-Xe;Rt+=rt.get(wt,Vt,lr,Ht)*ht.get(wt,Et,qt,Xt)}Ve.set(Rt,_t,Pt,Ht,Ot)}return E.makeTensorInfo(Ve.shape,Ve.dtype,Ve.values)}var Zt={kernelName:i.DepthwiseConv2dNativeBackpropFilter,backendName:"cpu",kernelFunc:Ar};function xr(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.dy,H=ue.filter,se=D.strides,te=D.dilations,_e=D.pad,ce=D.dimRoundingMode,fe=D.inputShape;X([A,H],"depthwiseConv2DNativeBackpropInput");for(var ve=i.util.computeStrides(A.shape),ge=i.util.computeStrides(H.shape),Ae=i.backend_util.computeConv2DInfo(fe,H.shape,se,te,_e,ce,!0),Oe=new i.TensorBuffer(Ae.inShape,"float32"),De=Oe.values,Ve=Oe.strides,Xe=Ve[0],at=Ve[1],it=Ve[2],$=E.data.get(A.dataId).values,rt=ve[0],xt=ve[1],ht=ve[2],_t=E.data.get(H.dataId).values,At=ge[0],zt=ge[1],Pt=ge[2],Ut=Ae.batchSize,Tt=Ae.filterHeight,Xt=Ae.filterWidth,Ht=Ae.inChannels,Ot=Ae.inHeight,Rt=Ae.inWidth,wt=Ae.outChannels,Et=Ae.outHeight,Vt=Ae.outWidth,qt=Ae.strideHeight,lr=Ae.strideWidth,ir=Tt-1-Ae.padInfo.top,Ie=Xt-1-Ae.padInfo.left,br=wt/Ht,Nr=0;Nr<Ut;++Nr)for(var Tr=0;Tr<Ht;++Tr)for(var pr=0;pr<Ot;++pr)for(var Fr=pr-ir,mr=Math.max(0,Math.ceil(Fr/qt)),Er=Math.min(Et,(Tt+Fr)/qt),an=0;an<Rt;++an){for(var _n=an-Ie,ie=Math.max(0,Math.ceil(_n/lr)),In=Math.min(Vt,(Xt+_n)/lr),wn=0,Re=mr;Re<Er;++Re)for(var Un=Re*qt-Fr,Ln=ie;Ln<In;++Ln)for(var Oa=Ln*lr-_n,An=rt*Nr+xt*Re+ht*Ln,Ja=At*(Tt-1-Un)+zt*(Xt-1-Oa)+Pt*Tr,Wa=0;Wa<br;++Wa){var $a=Tr*br+Wa,xa=$[An+$a],_a=_t[Ja+Wa];wn+=xa*_a}De[Xe*Nr+at*pr+it*an+Tr]=wn}return E.makeTensorInfo(Oe.shape,Oe.dtype,Oe.values)}var kn={kernelName:i.DepthwiseConv2dNativeBackpropInput,backendName:"cpu",kernelFunc:xr},pn={kernelName:i.Dilation2D,backendName:"cpu",kernelFunc:function(ae){for(var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue,H=A.x,se=A.filter,te=D,_e=te.strides,ce=te.pad,fe=te.dilations,ve=E,ge=ve.data.get(H.dataId).values,Ae=H.shape.length,Oe=ve.data.get(se.dataId).values,De=se.shape.length,Ve=i.backend_util.computeDilation2DInfo(H.shape,se.shape,_e,ce,"NHWC",fe),Xe=Ve.batchSize,at=Ve.inHeight,it=Ve.inWidth,$=Ve.inChannels,rt=Ve.outHeight,xt=Ve.outWidth,ht=Ve.padInfo,_t=Ve.strideHeight,At=Ve.strideWidth,zt=Ve.filterHeight,Pt=Ve.filterWidth,Ut=Ve.dilationHeight,Tt=Ve.dilationWidth,Xt=Ve.outShape,Ht=i.util.sizeFromShape(Xt),Ot=Xt.length,Rt=i.util.getArrayFromDType(H.dtype,Ht),wt=0;wt<Xe;++wt)for(var Et=0;Et<rt;++Et)for(var Vt=Et*_t-ht.top,qt=0;qt<xt;++qt)for(var lr=qt*At-ht.left,ir=0;ir<$;++ir){for(var Ie=Number.MIN_SAFE_INTEGER,br=0;br<zt;++br){var Nr=Vt+br*Ut;if(Nr>=0&&Nr<at)for(var Tr=0;Tr<Pt;++Tr){var pr=lr+Tr*Tt;if(pr>=0&&pr<it){var Fr=i.util.locToIndex([wt,Nr,pr,ir],Ae,i.util.computeStrides(H.shape)),mr=i.util.locToIndex([br,Tr,ir],De,i.util.computeStrides(se.shape)),Er=ge[Fr]+Oe[mr];Er>Ie&&(Ie=Er)}}}var an=i.util.locToIndex([wt,Et,qt,ir],Ot,i.util.computeStrides(Xt));Rt[an]=Ie}var _n=ve.write(i.util.toTypedArray(Rt,H.dtype),Xt,H.dtype);return{dataId:_n,shape:Xt,dtype:H.dtype}}},zn={kernelName:i.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue,H=A.x,se=A.filter,te=A.dy,_e=D,ce=_e.strides,fe=_e.pad,ve=_e.dilations,ge=E,Ae=i.util.toNestedArray(H.shape,ge.data.get(H.dataId).values),Oe=i.util.toNestedArray(se.shape,ge.data.get(se.dataId).values),De=i.backend_util.computeDilation2DInfo(H.shape,se.shape,ce,fe,"NHWC",ve),Ve=De.batchSize,Xe=De.inHeight,at=De.inWidth,it=De.inChannels,$=De.outHeight,rt=De.outWidth,xt=De.padInfo,ht=De.strideHeight,_t=De.strideWidth,At=De.filterHeight,zt=De.filterWidth,Pt=De.dilationHeight,Ut=De.dilationWidth,Tt=De.outShape;i.util.assert(te.rank===Tt.length,function(){return"Error in "+i.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+Tt.length+", but got ")+(""+te.rank)});for(var Xt=i.util.toNestedArray(Tt,ge.data.get(te.dataId).values),Ht=i.util.makeZerosNestedTypedArray(se.shape,se.dtype),Ot=0;Ot<Ve;++Ot)for(var Rt=0;Rt<$;++Rt)for(var wt=Rt*ht-xt.top,Et=0;Et<rt;++Et)for(var Vt=Et*_t-xt.left,qt=0;qt<it;++qt){for(var lr=Number.MIN_SAFE_INTEGER,ir=0,Ie=0,br=0;br<At;++br){var Nr=wt+br*Pt;if(Nr>=0&&Nr<Xe)for(var Tr=0;Tr<zt;++Tr){var pr=Vt+Tr*Ut;if(pr>=0&&pr<at){var Fr=Ae[Ot][Nr][pr][qt]+Oe[br][Tr][qt];Fr>lr&&(lr=Fr,ir=br,Ie=Tr)}}}Ht[ir][Ie][qt]+=Xt[Ot][Rt][Et][qt]}var mr=ge.write(i.util.toTypedArray(Ht,H.dtype),se.shape,se.dtype);return{dataId:mr,shape:se.shape,dtype:se.dtype}}},Dr={kernelName:i.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue,H=A.x,se=A.filter,te=A.dy,_e=D,ce=_e.strides,fe=_e.pad,ve=_e.dilations,ge=E,Ae=i.util.toNestedArray(H.shape,ge.data.get(H.dataId).values),Oe=i.util.toNestedArray(se.shape,ge.data.get(se.dataId).values),De=i.backend_util.computeDilation2DInfo(H.shape,se.shape,ce,fe,"NHWC",ve),Ve=De.batchSize,Xe=De.inHeight,at=De.inWidth,it=De.inChannels,$=De.outHeight,rt=De.outWidth,xt=De.padInfo,ht=De.strideHeight,_t=De.strideWidth,At=De.filterHeight,zt=De.filterWidth,Pt=De.dilationHeight,Ut=De.dilationWidth,Tt=De.outShape;i.util.assert(te.rank===Tt.length,function(){return"Error in "+i.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+Tt.length+", but got ")+(""+te.rank)});for(var Xt=i.util.toNestedArray(Tt,ge.data.get(te.dataId).values),Ht=i.util.makeZerosNestedTypedArray(H.shape,H.dtype),Ot=0;Ot<Ve;++Ot)for(var Rt=0;Rt<$;++Rt)for(var wt=Rt*ht-xt.top,Et=0;Et<rt;++Et)for(var Vt=Et*_t-xt.left,qt=0;qt<it;++qt){for(var lr=Number.MIN_SAFE_INTEGER,ir=wt<0?0:wt,Ie=Vt<0?0:Vt,br=0;br<At;++br){var Nr=wt+br*Pt;if(Nr>=0&&Nr<Xe)for(var Tr=0;Tr<zt;++Tr){var pr=Vt+Tr*Ut;if(pr>=0&&pr<at){var Fr=Ae[Ot][Nr][pr][qt]+Oe[br][Tr][qt];Fr>lr&&(lr=Fr,ir=Nr,Ie=pr)}}}Ht[Ot][ir][Ie][qt]+=Xt[Ot][Rt][Et][qt]}var mr=ge.write(i.util.toTypedArray(Ht,H.dtype),H.shape,H.dtype);return{dataId:mr,shape:H.shape,dtype:H.dtype}}},Na=st(function(ae,ue){return ae/ue}),Sn=nt(i.Div,Na),cr={kernelName:i.Div,backendName:"cpu",kernelFunc:Sn},$r=i.backend_util.ERF_P,Fa=i.backend_util.ERF_A1,mi=i.backend_util.ERF_A2,Ka=i.backend_util.ERF_A3,Xa=i.backend_util.ERF_A4,ii=i.backend_util.ERF_A5,zi=_r(i.Erf,function(ae){var ue=Math.sign(ae),E=Math.abs(ae),D=1/(1+$r*E);return ue*(1-((((ii*D+Xa)*D+Ka)*D+mi)*D+Fa)*D*Math.exp(-E*E))}),Rn={kernelName:i.Erf,backendName:"cpu",kernelFunc:zi};function Ca(ae,ue,E){for(var D=ae.shape,A=D[0],H=D[1],se=E.data.get(ae.dataId),te=se.complexTensorInfos.real,_e=se.complexTensorInfos.imag,ce=[A,H],fe=i.util.sizeFromShape(ce),ve=i.util.getTypedArrayFromDType("float32",fe),ge=i.util.getTypedArrayFromDType("float32",fe),Ae=0;Ae<A;Ae++){for(var Oe=Pa({inputs:{x:te},backend:E,attrs:{begin:[Ae,0],size:[1,H]}}),De=Pa({inputs:{x:_e},backend:E,attrs:{begin:[Ae,0],size:[1,H]}}),Ve=ut({inputs:{real:Oe,imag:De},backend:E}),Xe=Ki(Ve,ue,E),at=Xe.real,it=Xe.imag,$=i.backend_util.mergeRealAndImagArrays(at,it),rt=0;rt<H;rt++){var xt=i.backend_util.getComplexWithIndex($,rt);ve[Ae*H+rt]=xt.real,ge[Ae*H+rt]=xt.imag}E.disposeIntermediateTensorInfo(Oe),E.disposeIntermediateTensorInfo(De),E.disposeIntermediateTensorInfo(Ve)}var ht=E.makeTensorInfo(ce,"float32",ve),_t=E.makeTensorInfo(ce,"float32",ge),At=ut({inputs:{real:ht,imag:_t},backend:E});return E.disposeIntermediateTensorInfo(ht),E.disposeIntermediateTensorInfo(_t),At}function Ki(ae,ue,E){var D=i.util.sizeFromShape(ae.shape),A=E.data.get(ae.dataId),H=E.data.get(A.complexTensorInfos.real.dataId).values,se=E.data.get(A.complexTensorInfos.imag.dataId).values;if(yi(D)){var te=oi(H,se,D,ue,E),_e=[ae.shape[0],ae.shape[1]];if(ue){var ce=E.makeTensorInfo(_e,"float32",te.real),fe=E.makeTensorInfo(_e,"float32",te.imag),ve=E.makeTensorInfo([],"float32",i.util.createScalarValue(D,"float32")),ge=It({inputs:{x:ve},backend:E}),Ae=cr.kernelFunc({inputs:{a:ce,b:ve},backend:E}),Oe=cr.kernelFunc({inputs:{a:fe,b:ge},backend:E}),De=E.data.get(Ae.dataId).values,Ve=E.data.get(Oe.dataId).values;return E.disposeIntermediateTensorInfo(ce),E.disposeIntermediateTensorInfo(fe),E.disposeIntermediateTensorInfo(ve),E.disposeIntermediateTensorInfo(ge),E.disposeIntermediateTensorInfo(Ae),E.disposeIntermediateTensorInfo(Oe),{real:De,imag:Ve}}return te}else{var Xe=i.backend_util.mergeRealAndImagArrays(H,se),at=qr(Xe,D,ue);return i.backend_util.splitRealAndImagArrays(at)}}function yi(ae){return(ae&ae-1)===0}function oi(ae,ue,E,D,A){if(E===1)return{real:ae,imag:ue};var H=i.backend_util.mergeRealAndImagArrays(ae,ue),se=E/2,te=i.backend_util.complexWithEvenIndex(H),_e=te.real,ce=te.imag,fe=[_e.length],ve=A.makeTensorInfo(fe,"float32",_e),ge=A.makeTensorInfo(fe,"float32",ce),Ae=ut({inputs:{real:ve,imag:ge},backend:A}),Oe=i.backend_util.complexWithOddIndex(H),De=Oe.real,Ve=Oe.imag,Xe=[De.length],at=A.makeTensorInfo(Xe,"float32",De),it=A.makeTensorInfo(Xe,"float32",Ve),$=ut({inputs:{real:at,imag:it},backend:A}),rt=oi(_e,ce,se,D,A),xt=rt.real,ht=rt.imag,_t=[xt.length],At=A.makeTensorInfo(_t,"float32",xt),zt=A.makeTensorInfo(_t,"float32",ht),Pt=ut({inputs:{real:At,imag:zt},backend:A}),Ut=oi(De,Ve,se,D,A),Tt=Ut.real,Xt=Ut.imag,Ht=[Tt.length],Ot=A.makeTensorInfo(Ht,"float32",Tt),Rt=A.makeTensorInfo(Ht,"float32",Xt),wt=ut({inputs:{real:Ot,imag:Rt},backend:A}),Et=i.backend_util.exponents(E,D),Vt=[Et.real.length],qt=A.makeTensorInfo(Vt,"float32",Et.real),lr=A.makeTensorInfo(Vt,"float32",Et.imag),ir=ut({inputs:{real:qt,imag:lr},backend:A}),Ie=Wn({inputs:{a:ir,b:wt},backend:A}),br=jt({inputs:{a:Pt,b:Ie},backend:A}),Nr=pi({inputs:{a:Pt,b:Ie},backend:A}),Tr=mt({inputs:{input:br},backend:A}),pr=mt({inputs:{input:Nr},backend:A}),Fr=tn({inputs:{input:br},backend:A}),mr=tn({inputs:{input:Nr},backend:A}),Er=qn({inputs:[Tr,pr],backend:A,attrs:{axis:0}}),an=qn({inputs:[Fr,mr],backend:A,attrs:{axis:0}}),_n=A.data.get(Er.dataId).values,ie=A.data.get(an.dataId).values;return A.disposeIntermediateTensorInfo(ve),A.disposeIntermediateTensorInfo(ge),A.disposeIntermediateTensorInfo(Ae),A.disposeIntermediateTensorInfo(at),A.disposeIntermediateTensorInfo(it),A.disposeIntermediateTensorInfo($),A.disposeIntermediateTensorInfo(At),A.disposeIntermediateTensorInfo(zt),A.disposeIntermediateTensorInfo(Pt),A.disposeIntermediateTensorInfo(Ot),A.disposeIntermediateTensorInfo(Rt),A.disposeIntermediateTensorInfo(wt),A.disposeIntermediateTensorInfo(qt),A.disposeIntermediateTensorInfo(lr),A.disposeIntermediateTensorInfo(ir),A.disposeIntermediateTensorInfo(Ie),A.disposeIntermediateTensorInfo(br),A.disposeIntermediateTensorInfo(Nr),A.disposeIntermediateTensorInfo(Tr),A.disposeIntermediateTensorInfo(Fr),A.disposeIntermediateTensorInfo(pr),A.disposeIntermediateTensorInfo(mr),A.disposeIntermediateTensorInfo(Er),A.disposeIntermediateTensorInfo(an),{real:_n,imag:ie}}function qr(ae,ue,E){for(var D=new Float32Array(ue*2),A=0;A<ue;A++){for(var H=0,se=0,te=0;te<ue;te++){var _e=i.backend_util.exponent(A*te,ue,E),ce=i.backend_util.getComplexWithIndex(ae,te);H+=ce.real*_e.real-ce.imag*_e.imag,se+=ce.real*_e.imag+ce.imag*_e.real}E&&(H/=ue,se/=ue),i.backend_util.assignToTypedArray(D,H,se,A)}return D}function Io(ae){var ue=ae.inputs,E=ae.backend,D=ue.input,A=i.util.sizeFromShape(D.shape),H=D.shape[D.shape.length-1],se=A/H,te=ya({inputs:{x:D},backend:E,attrs:{shape:[se,H]}}),_e=Ca(te,!1,E),ce=ya({inputs:{x:_e},backend:E,attrs:{shape:D.shape}});return E.disposeIntermediateTensorInfo(te),E.disposeIntermediateTensorInfo(_e),ce}var nn={kernelName:i.FFT,backendName:"cpu",kernelFunc:Io};function Ya(ae){var ue=ae.backend,E=ae.attrs,D=E.shape,A=E.value,H=E.dtype,se=H||i.util.inferDtype(A),te=i.util.getArrayFromDType(se,i.util.sizeFromShape(D));return Xi(te,A,se),ue.makeTensorInfo(D,se,te)}var Ba={kernelName:i.Fill,backendName:"cpu",kernelFunc:Ya};function Xi(ae,ue,E){E==="string",ae.fill(ue)}var si={kernelName:i.FlipLeftRight,backendName:"cpu",kernelFunc:function(ae){for(var ue=ae.inputs,E=ae.attrs,D=ae.backend,A=ue.image,H=D,se=i.util.getTypedArrayFromDType(A.dtype,i.util.sizeFromShape(A.shape)),te=A.shape,_e=te[0],ce=te[1],fe=te[2],ve=te[3],ge=H.data.get(A.dataId).values,Ae=0;Ae<_e;Ae++)for(var Oe=Ae*fe*ce*ve,De=0;De<ce;De++)for(var Ve=De*(fe*ve),Xe=0;Xe<fe;Xe++)for(var at=Xe*ve,it=0;it<ve;it++){var $=[_e,De,Xe,it],rt=$[2],xt=Math.round(fe-rt),ht=Oe+Ve+at+it,_t=ge[ht];if(xt>=0&&xt<fe){var At=xt*ve,zt=Oe+Ve+At+it;_t=ge[zt]}se[ht]=_t}var Pt=H.write(se,A.shape,A.dtype);return{dataId:Pt,shape:A.shape,dtype:A.dtype}}};function Li(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.filter,se=ue.bias,te=ue.preluActivationWeights,_e=D.strides,ce=D.pad,fe=D.dataFormat,ve=D.dilations,ge=D.dimRoundingMode,Ae=D.activation,Oe=ga({inputs:{x:A,filter:H},backend:E,attrs:{strides:_e,pad:ce,dataFormat:fe,dilations:ve,dimRoundingMode:ge}});if(se){var De=Oe;Oe=jt({inputs:{a:Oe,b:se},backend:E}),E.disposeIntermediateTensorInfo(De)}if(Ae){var De=Oe;Oe=Di(E,Oe,Ae,te),E.disposeIntermediateTensorInfo(De)}return Oe}var ao={kernelName:i.FusedConv2D,backendName:"cpu",kernelFunc:Li};function mo(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x,H=ue.filter,se=ue.bias,te=ue.preluActivationWeights,_e=D.strides,ce=D.pad,fe=D.dataFormat,ve=D.dilations,ge=D.dimRoundingMode,Ae=D.activation,Oe=Jt({inputs:{x:A,filter:H},backend:E,attrs:{strides:_e,pad:ce,dataFormat:fe,dilations:ve,dimRoundingMode:ge}});if(se){var De=Oe;Oe=jt({inputs:{a:Oe,b:se},backend:E}),E.disposeIntermediateTensorInfo(De)}if(Ae){var De=Oe;Oe=Di(E,Oe,Ae,te),E.disposeIntermediateTensorInfo(De)}return Oe}var Za={kernelName:i.FusedDepthwiseConv2D,backendName:"cpu",kernelFunc:mo};function io(ae){var ue=ae.inputs,E=ae.backend,D=ue.input,A=i.util.sizeFromShape(D.shape),H=D.shape[D.shape.length-1],se=A/H,te=ya({inputs:{x:D},backend:E,attrs:{shape:[se,H]}}),_e=Ca(te,!0,E),ce=ya({inputs:{x:_e},backend:E,attrs:{shape:D.shape}});return E.disposeIntermediateTensorInfo(te),E.disposeIntermediateTensorInfo(_e),ce}var Yo={kernelName:i.IFFT,backendName:"cpu",kernelFunc:io},No=_r(i.IsFinite,function(ae){return Number.isFinite(ae)?1:0},"bool"),Co={kernelName:i.IsFinite,backendName:"cpu",kernelFunc:No},oo=_r(i.IsInf,function(ae){return Math.abs(ae)===Infinity?1:0},"bool"),ua={kernelName:i.IsInf,backendName:"cpu",kernelFunc:oo},Br=_r(i.IsNan,function(ae){return Number.isNaN(ae)?1:0},"bool"),ca={kernelName:i.IsNan,backendName:"cpu",kernelFunc:Br},Qa=_r(i.Log1p,function(ae){return Math.log1p(ae)}),Zn={kernelName:i.Log1p,backendName:"cpu",kernelFunc:Qa},so=_r(i.LogicalNot,function(ae){return ae?0:1},"bool"),Ta={kernelName:i.LogicalNot,backendName:"cpu",kernelFunc:so},vn={kernelName:i.Max,backendName:"cpu",kernelFunc:function(ae){var ue=ae.inputs,E=ae.attrs,D=ae.backend,A=ue.x,H=E,se=H.reductionIndices,te=H.keepDims,_e=D,ce=A.shape,fe=ce.length,ve=i.util.parseAxisParam(se,ce),ge=ve,Ae=i.backend_util.getAxesPermutation(ge,fe),Oe=_e.data.get(A.dataId).values;if(Ae!=null){for(var De=new Array(fe),Ve=0;Ve<De.length;Ve++)De[Ve]=ce[Ae[Ve]];Oe=di(Oe,ce,A.dtype,Ae,De),ge=i.backend_util.getInnerMostAxes(ge.length,fe),ce=De}X(A,"max"),i.backend_util.assertAxesAreInnerMostDims("max",ge,fe);var Xe=i.backend_util.computeOutAndReduceShapes(ce,ge),at=Xe[0],it=Xe[1],$=i.util.sizeFromShape(it),rt=fa(Oe,$,at,A.dtype),xt=_e.write(rt,at,A.dtype),ht=at;if(te){var De=i.backend_util.expandShapeToKeepDim(at,ve);ht=De}return{dataId:xt,shape:ht,dtype:A.dtype}}};function Pi(ae){var ue=ae.inputs,E=ae.backend,D=ae.attrs,A=ue.x;X(A,"maxPool");var 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    m -= c[2] / 128.0;
    c[1] = floor(32768.0 * m);
    m -= c[1] / 32768.0;
    c[0] = floor(8388608.0 * m);

    highp float ebias = e + 127.0;
    c[3] = floor(ebias / 2.0);
    ebias -= c[3] * 2.0;
    c[2] += floor(ebias) * 128.0;

    c[3] += 128.0 * step(0.0, -v);

    return c / 255.0;
  }
`,ga=i.backend_util.getBroadcastDims;function Mi(f,p,l,m){var g=[];f.forEach(function(Ee){var Ge=i.util.sizeFromShape(Ee.shapeInfo.logicalShape);Ee.shapeInfo.isUniform?g.push("uniform float "+Ee.name+(Ge>1?"["+Ge+"]":"")+";"):(g.push("uniform sampler2D "+Ee.name+";"),g.push("uniform int offset"+Ee.name+";"))});var I=g.join(`
`),R=f.map(function(Ee){return x(Ee,p,m)}).join(`
`),P=p.texShape,L=tn(),G=Se(L),Q,ke,Ce=Pe(L);p.isPacked?(Q=k(p.logicalShape,P),ke=Je(L)):(Q=K(p.logicalShape,P),ke=be(L)),m&&(Ce+=Wt);var Fe=[Ce,G,ke,I,Q,R,l].join(`
`);return Fe}function Aa(f){var p=f.shapeInfo.logicalShape;switch(p.length){case 0:return $r(f);case 1:return mi(f);case 2:return Xa(f);case 3:return zi(f);case 4:return Ca(f);case 5:return Ki(f);case 6:return yi(f);default:throw new Error(p.length+"-D input sampling is not yet supported")}}function S(f){var p=f.shapeInfo.logicalShape;switch(p.length){case 0:return cr(f);case 1:return Fa(f);case 2:return Ka(f);case 3:return ii(f);default:return Rn(f)}}function x(f,p,l){l===void 0&&(l=!1);var m="";l?m+=S(f):m+=Aa(f);var g=f.shapeInfo.logicalShape,I=p.logicalShape;return g.length<=I.length&&(l?m+=qr(f,p):m+=Io(f,p)),m}function k(f,p){switch(f.length){case 0:return Gt();case 1:return Jt(f,p);case 2:return Dr(f,p);case 3:return Ar(f,p);default:return xr(f,p)}}function K(f,p){switch(f.length){case 0:return Gt();case 1:return wr(f,p);case 2:return Na(f,p);case 3:return Zt(f,p);case 4:return kn(f,p);case 5:return pn(f,p);case 6:return zn(f,p);default:throw new Error(f.length+"-D output sampling is not yet supported")}}function Se(f){return`
    float sampleTexture(sampler2D textureSampler, vec2 uv) {
      return `+f.texture2D+`(textureSampler, uv).r;
    }
  `}function be(f){return`
    void setOutput(float val) {
      `+f.output+` = vec4(val, 0, 0, 0);
    }
  `}function Je(f){return`
    void setOutput(vec4 val) {
      `+f.output+` = val;
    }
  `}function Pe(f){var p=f.version+`
    precision highp float;
    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);
      if (sign < 0. && mod != 0) {
        res -= 1;
      }
      return res;
    }

    //Based on the work of Dave Hoskins
    //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);
      return fract((p3.x + p3.y) * p3.z);
    }

    `+gt+`
    `+ft+`
    `+Lt+`
  `;return p}var gt=`
vec2 uvFromFlat(int texNumR, int texNumC, int index) {
  int texR = index / texNumC;
  int texC = index - texR * texNumC;
  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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);
}
`,Lt=`
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 Jt(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 Zt(f,p){var l=En(["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="",P="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,P="b"+L+", "+P;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+"("+P+`);
    }
  `}function kn(f,p){var l=En(["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=En(["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=En(["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 Dr(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 Na(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 Sn(f){return"offset"+f}function cr(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,P=R[0],L=R[1],G=Sn(p);return`
    float `+l+`() {
      vec2 uv = uvFromFlat(`+P+", "+L+", "+G+`);
      return sampleTexture(`+p+`, uv);
    }
  `}function Fa(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) {
        `+oi(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=Sn(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 Ka(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],P=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 `+P.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 `+P.texture2D+"("+l+`, uv);
    }
  `}function Xa(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 P=i.util.squeezeShape(p),L=P.newShape,G=P.keptDims,Q=L;if(Q.length<p.length){var ke=Ya(f,Q),Ce=["row","col"];return`
      `+Aa(ke)+`
      float `+m+`(int row, int col) {
        return `+m+"("+Ba(Ce,G)+`);
      }
    `}if(f.shapeInfo.isUniform)return`
      float `+m+`(int row, int col) {
        int index = round(dot(vec2(row, col), vec2(`+p[1]+`, 1)));
        `+oi(f)+`
      }
    `;var Fe=g[0],Ee=g[1],Ge=Sn(l);return Ee===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) / `+Fe+`.0);
      return sampleTexture(`+l+`, uv);
    }
  `:Fe===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) / `+Ee+`.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(`+Fe+", "+Ee+`, index);
    return sampleTexture(`+l+`, uv);
  }
`}function ii(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),P=[1,2],L=Ya(f,R),G=["b","row","col"];return`
        `+S(L)+`
        vec4 `+m+`(int b, int row, int col) {
          return `+m+"("+Ba(G,P)+`);
        }
      `}var Q=I[0],ke=I[1],Ce=Math.ceil(p[2]/2),Fe=Ce*Math.ceil(p[1]/2),Ee=tn();return`
    vec4 `+m+`(int b, int row, int col) {
      vec2 uv = packedUVfrom3D(
        `+Q+", "+ke+", "+Fe+", "+Ce+`, b, row, col);
      return `+Ee.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),P=R.newShape,L=R.keptDims,G=P;if(G.length<p.length){var Q=Ya(f,G),ke=["row","col","depth"];return`
        `+Aa(Q)+`
        float `+m+`(int row, int col, int depth) {
          return `+m+"("+Ba(ke,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)));
        `+oi(f)+`
      }
    `;var Ce=f.shapeInfo.texShape,Fe=Ce[0],Ee=Ce[1],Ge=f.shapeInfo.flatOffset;if(Ee===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(`+Ee+".0, "+Fe+`.0);
          return sampleTexture(`+l+`, uv);
        }
      `;if(Ee===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(`+Ee+".0, "+Fe+`.0);
      return sampleTexture(`+l+`, uv);
    }
  `;var Qe=Sn(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 + "+Qe+`;
        vec2 uv = uvFromFlat(`+Fe+", "+Ee+`, index);
        return sampleTexture(`+l+`, uv);
      }
  `}function Rn(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)],P=R[0],L=R[1],G=Math.ceil(p[l-1]/2),Q=G*Math.ceil(p[l-2]/2),ke="int b, int row, int col",Ce="b * "+Q+" + (row / 2) * "+G+" + (col / 2)",Fe=2;Fe<l-1;Fe++)ke="int b"+Fe+", "+ke,Q*=p[l-Fe-1],Ce="b"+Fe+" * "+Q+" + "+Ce;var Ee=tn();return`
    vec4 `+g+"("+ke+`) {
      int index = `+Ce+`;
      int texR = index / `+L+`;
      int texC = index - texR * `+L+`;
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+L+", "+P+`);
      return `+Ee.texture2D+"("+m+`, uv);
    }
  `}function Ca(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,P=i.util.squeezeShape(p),L=P.newShape,G=P.keptDims;if(L.length<p.length){var Q=Ya(f,L),ke=["row","col","depth","depth2"];return`
      `+Aa(Q)+`
      float `+m+`(int row, int col, int depth, int depth2) {
        return `+m+"("+Ba(ke,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)));
        `+oi(f)+`
      }
    `;var Ce=f.shapeInfo.flatOffset,Fe=f.shapeInfo.texShape,Ee=Fe[0],Ge=Fe[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, "+Ee+`.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, "+Ee+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var Qe=Sn(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(`+Ee+", "+Ge+", index + "+Qe+`);
      return sampleTexture(`+l+`, uv);
    }
  `}function Ki(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,P=p[1]*R,L=i.util.squeezeShape(p),G=L.newShape,Q=L.keptDims;if(G.length<p.length){var ke=Ya(f,G),Ce=["row","col","depth","depth2","depth3"];return`
      `+Aa(ke)+`
      float `+m+`(int row, int col, int depth, int depth2, int depth3) {
        return `+m+"("+Ba(Ce,Q)+`);
      }
    `}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(`+P+", "+R+", "+I+", "+g+`)) +
          depth3;
        `+oi(f)+`
      }
    `;var Fe=f.shapeInfo.flatOffset,Ee=f.shapeInfo.texShape,Ge=Ee[0],Qe=Ee[1];if(Qe===P&&Fe==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(`+Qe+".0, "+Ge+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;if(Qe===g&&Fe==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(`+Qe+".0, "+Ge+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var s=Sn(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 * `+P+" + col * "+R+" + depth * "+I+` +
          depth2 * `+g+" + depth3 + "+s+`;
      vec2 uv = uvFromFlat(`+Ge+", "+Qe+`, 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 P=Ya(f,I),L=["row","col","depth","depth2","depth3","depth4"];return`
      `+Aa(P)+`
      float `+m+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        return `+m+"("+Ba(L,R)+`);
      }
    `}var G=p[5],Q=p[4]*G,ke=p[3]*Q,Ce=p[2]*ke,Fe=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(`+Fe+", "+Ce+", "+ke+", "+Q+`)) +
          dot(
            vec2(depth3, depth4),
            vec2(`+G+`, 1)));
        `+oi(f)+`
      }
    `;var Ee=f.shapeInfo.flatOffset,Ge=f.shapeInfo.texShape,Qe=Ge[0],s=Ge[1];if(s===Fe&&Ee==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+", "+ke+", "+Q+", "+G+`)) +
               float(depth4);
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+s+".0, "+Qe+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;if(s===G&&Ee==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, "+Qe+`.0);
        return sampleTexture(`+l+`, uv);
      }
    `;var u=Sn(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 * `+Fe+" + col * "+Ce+" + depth * "+ke+` +
          depth2 * `+Q+" + depth3 * "+G+" + depth4 + "+u+`;
      vec2 uv = uvFromFlat(`+Qe+", "+s+`, index);
      return sampleTexture(`+l+`, uv);
    }
  `}function oi(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,P=ga(f.shapeInfo.logicalShape,p.logicalShape),L=nn(R),G=R-I,Q,ke=["x","y","z","w","u","v"];I===0?Q="":R<2&&P.length>=1?Q="coords = 0;":Q=P.map(function(o){return"coords."+ke[o+G]+" = 0;"}).join(`
`);var Ce="";R<2&&I>0?Ce="coords":Ce=f.shapeInfo.logicalShape.map(function(o,h){return"coords."+ke[h+G]}).join(", ");var Fe="return outputValue;",Ee=i.util.sizeFromShape(f.shapeInfo.logicalShape),Ge=Ee===1,Qe=i.util.sizeFromShape(p.logicalShape),s=Qe===1;if(I===1&&!Ge&&!s)Fe=`
      return vec4(outputValue.xy, outputValue.xy);
    `;else if(Ge&&!s)R===1?Fe=`
        return vec4(outputValue.x, outputValue.x, 0., 0.);
      `:Fe=`
        return vec4(outputValue.x);
      `;else if(P.length){var u=I-2,r=I-1;P.indexOf(u)>-1&&P.indexOf(r)>-1?Fe="return vec4(outputValue.x);":P.indexOf(u)>-1?Fe="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":P.indexOf(r)>-1&&(Fe="return vec4(outputValue.xx, outputValue.zz);")}return`
    vec4 `+g+`() {
      `+L+` coords = getOutputCoords();
      `+Q+`
      vec4 outputValue = get`+m+"("+Ce+`);
      `+Fe+`
    }
  `}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,P=f.shapeInfo.logicalShape.length,L=p.logicalShape.length;if(!f.shapeInfo.isUniform&&P===L&&f.shapeInfo.flatOffset==null&&i.util.arraysEqual(R,I))return`
      float `+g+`() {
        return sampleTexture(`+l+`, resultUV);
      }
    `;var G=nn(L),Q=ga(f.shapeInfo.logicalShape,p.logicalShape),ke=L-P,Ce,Fe=["x","y","z","w","u","v"];P===0?Ce="":L<2&&Q.length>=1?Ce="coords = 0;":Ce=Q.map(function(Ge){return"coords."+Fe[Ge+ke]+" = 0;"}).join(`
`);var Ee="";return L<2&&P>0?Ee="coords":Ee=f.shapeInfo.logicalShape.map(function(Ge,Qe){return"coords."+Fe[Qe+ke]}).join(", "),`
    float `+g+`() {
      `+G+` coords = getOutputCoords();
      `+Ce+`
      return get`+m+"("+Ee+`);
    }
  `}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 Ya(f,p){var l=JSON.parse(JSON.stringify(f));return l.shapeInfo.logicalShape=p,l}function Ba(f,p){return p.map(function(l){return f[l]}).join(", ")}var Xi=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 P=this.outputShape,L=P.length,G=nn(L),Q=Vr("coords",L),ke,Ce;if(R===1){Ce=L+1;var Fe=nn(Ce);ke=`
        `+Fe+" sourceLocR = "+Fe+"("+Q.join()+`, 0);
        ++`+Q[L-1]+`;
        `+Fe+" sourceLocG = "+Fe+"("+Q.join()+`, 0);
        ++`+Q[L-2]+`;
        `+Fe+" sourceLocA = "+Fe+"("+Q.join()+`, 0);
        --`+Q[L-1]+`;
        `+Fe+" sourceLocB = "+Fe+"("+Q.join()+`, 0);
        --`+Q[L-2]+";"}else Ce=L,ke=`
        `+G+` sourceLocR = coords;
        ++`+Q[L-1]+`;
        `+G+` sourceLocG = coords;
        ++`+Q[L-2]+`;
        `+G+` sourceLocA = coords;
        --`+Q[L-1]+`;
        `+G+` sourceLocB = coords;
        --`+Q[L-2]+";";var Ee=["x","y","z","w","u","v"].slice(0,Ce),Ge="."+Ee[Ce-1],Qe=Ee.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.)",O=g?"":`
      float getBestIndicesAChannel(`+Qe.join()+`) {
        return getChannel(getBestIndicesA(`+Ee.join()+`),
                                          vec2(`+Ee.slice(-2).join()+`));
      }`;this.userCode=`
      float getAChannel(`+Qe.join()+`) {
        return getChannel(getA(`+Ee.join()+`),
                               vec2(`+Ee.slice(-2).join()+`));
      }
      `+O+`
      void main() {
        `+G+` coords = getOutputCoords();
        bool hasNextCol = `+Q[L-1]+" < "+(P[L-1]-1)+`;
        bool hasNextRow = `+Q[L-2]+" < "+(P[L-2]-1)+`;
        `+ke+`
        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}(),si=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,P=p.dilationWidth,L=p.effectiveFilterHeight,G=p.effectiveFilterWidth,Q=L-1-p.padInfo.top,ke=G-1-p.padInfo.left,Ce=1/(l*m);this.userCode=`
      const ivec2 pads = ivec2(`+Q+", "+ke+`);
      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+= `+P+`) {
            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}(),Li=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,P=p.strideWidth,L=p.dilationDepth,G=p.dilationHeight,Q=p.dilationWidth,ke=p.effectiveFilterDepth,Ce=p.effectiveFilterHeight,Fe=p.effectiveFilterWidth,Ee=ke-1-p.padInfo.front,Ge=Ce-1-p.padInfo.top,Qe=Fe-1-p.padInfo.left,s=1/(l*m*g);this.userCode=`
      const ivec3 pads = ivec3(`+Ee+", "+Ge+", "+Qe+`);
      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 < `+ke+`;
            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 < `+Fe+`;
                wC += `+Q+`) {
              float dyC = float(dyCCorner + wC) / `+P+`.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}(),ao=`
  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;
  }
`,Za=`
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);
`,io="return float(a == b);",Yo="return float(a < b);",No="return float(a <= b);",Co="return float(a > b);",oo="return float(a >= b);",ua="return float(a >= 1.0 && b >= 1.0);",Br="return float(a >= 1.0 || b >= 1.0);",ca=ao+`
  return max(a, b);
`,Qa=ao+`
  return min(a, b);
`,Zn=`if (b == 0.0) return NAN;
  return mod(a, b);`,so="return (b >= 1.0) ? a : a * (b + 1.0);",Ta="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}(),Pi=`
  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));
  `+Pi+`
  return result;
`,Da=`
  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));
`,Es=`
  return vec4(lessThan(a, b));
`,Eo=`
  return vec4(lessThanEqual(a, b));
`,Rs=`
  return vec4(greaterThan(a, b));
`,As=`
  return vec4(greaterThanEqual(a, b));
`,Zo=`
  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));
`,Qo=`
  vec4 result = vec4(max(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Pi+`
  return result;
`,Ao=`
  vec4 result = vec4(min(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Pi+`
  return result;
`,Jo=`
  vec4 result = mod(a, b);
  vec4 isNaN = vec4(equal(b, vec4(0.0)));
  `+Pi+`
  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 P=nn(I);if(R=`
          `+P+` 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}(),eu=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}(),ds=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}(),tu=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}(),Ds=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",P=l-1-p.padInfo.top,L=m-1-p.padInfo.left,G=R?1:2,Q=R?2:3,ke=R?3:1;this.userCode=`
      const ivec2 pads = ivec2(`+P+", "+L+`);

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

        ivec2 dyCorner = ivec2(coords[`+G+"], coords["+Q+`]) - 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}(),fs=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,P=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+" - "+P+`;

                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}(),Os=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,P=p.strideWidth,L=l-1-p.padInfo.front,G=m-1-p.padInfo.top,Q=g-1-p.padInfo.left;this.userCode=`
      const ivec3 pads = ivec3(`+L+", "+G+", "+Q+`);

      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) / `+P+`.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}(),Ms=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}(),ru=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,P=m-1-p.padInfo.left,L=p.outChannels/p.inChannels;this.userCode=`
      const ivec2 pads = ivec2(`+R+", "+P+`);

      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}(),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.padInfo.top,R=p.padInfo.left,P=p.strideHeight,L=p.strideWidth,G=p.dilationHeight,Q=p.dilationWidth,ke=p.filterHeight,Ce=p.filterWidth,Fe=Math.floor(p.inChannels/4)*4,Ee=p.inChannels%4,Ge=p.dataFormat==="channelsLast",Qe=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(`+P+", "+L+`);
      const ivec2 pads = ivec2(`+I+", "+R+`);

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

        ivec2 xRCCorner =
            ivec2(coords[`+Qe+"], 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 < `+ke+`; wR++) {
          int xR = xRCorner + wR * `+G+`;

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

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

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

            for (int d1 = 0; d1 < `+Fe+`; 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 (`+(Ee===1)+`) {

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

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

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

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

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

            }
          }
        }

        float result = dotProd;
        `+h+`
        `+o+`
        setOutput(result);
      }
    `}return f}(),nu=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,P=p.strideWidth,L=p.dilationDepth,G=p.dilationHeight,Q=p.dilationWidth,ke=p.filterDepth,Ce=p.filterHeight,Fe=p.filterWidth,Ee=Math.floor(p.inChannels/4)*4,Ge=p.inChannels%4;this.userCode=`
      const ivec3 strides = ivec3(`+I+", "+R+", "+P+`);
      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 < `+ke+`; 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 < `+Fe+`; wC++) {
              int xC = xCCorner + wC * `+Q+`;

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

              for (int d1 = 0; d1 < `+Ee+`; 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, `+Ee+`) *
                  getW(wF, wR, wC, `+Ee+`, d2);
              } else if (`+(Ge===2)+`) {
                vec2 xValues = vec2(
                  getX(batch, xF, xR, xC, `+Ee+`),
                  getX(batch, xF, xR, xC, `+Ee+` + 1)
                );
                vec2 wValues = vec2(
                  getW(wF, wR, wC, `+Ee+`, d2),
                  getW(wF, wR, wC, `+Ee+` + 1, d2)
                );
                dotProd += dot(xValues, wValues);
              } else if (`+(Ge===3)+`) {
                vec3 xValues = vec3(
                  getX(batch, xF, xR, xC, `+Ee+`),
                  getX(batch, xF, xR, xC, `+Ee+` + 1),
                  getX(batch, xF, xR, xC, `+Ee+` + 2)
                );
                vec3 wValues = vec3(
                  getW(wF, wR, wC, `+Ee+`, d2),
                  getW(wF, wR, wC, `+Ee+` + 1, d2),
                  getW(wF, wR, wC, `+Ee+` + 2, d2)
                );
                dotProd += dot(xValues, wValues);
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),ys=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,P=p.padInfo.top,L=p.padInfo.left,G=p.strideHeight,Q=p.strideWidth,ke=p.dilationHeight,Ce=p.dilationWidth,Fe=p.filterHeight,Ee=p.filterWidth,Ge=p.outChannels/p.inChannels,Qe="",s="";m&&(g?Qe=`float activation(float a) {
          float b = getPreluActivationWeightsAtOutCoords();
          `+m+`
        }`:Qe=`
          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=`
      `+Qe+`

      const ivec2 strides = ivec2(`+G+", "+Q+`);
      const ivec2 pads = ivec2(`+P+", "+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 < `+Fe+`; wR++) {
          int xR = xRCorner + wR * `+ke+`;

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

          for (int wC = 0; wC < `+Ee+`; 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}(),Fo=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,P=p.padInfo.top,L=p.padInfo.left,G=p.strideHeight,Q=p.strideWidth,ke=p.dilationHeight,Ce=p.dilationWidth,Fe=p.filterHeight,Ee=p.filterWidth,Ge=Ee,Qe="int xR; int xC; int xCOffset;",s=0;s<Fe;s++)for(var u=0;u<Ee;u++)Qe+=`
          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<Fe;s++)for(var r=0;r<Ge;r++){var u=r*2;if(Qe+=`
          xR = xRCorner + `+s*ke+`;
          xC = xCCorner + `+u*Ce+`;
        `,Q===1){if(u<Ee&&(L%2===1?Qe+=`
                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);
                }
              `:Qe+=`
                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<Ee)){var o=L%2===0?i.util.nearestLargerEven(Ce):Ce;Ce%2===0&&L%2===1||Ce%2!==0&&L%2!==1?(Qe+=`
                  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&&(Qe+=`
                    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.);
                    }
                  `),Qe+=`
                  xR`+s+"C"+(u+1)+` = vec4(
                    xTexelR`+s+"C"+u+".zw, xTexelR"+s+"C"+(u+2)+`.xy);
                `):Qe+=`
                  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<Ee&&(Qe+=`
              if(xR >= 0 && xR < `+I+`) {
            `,L%2===1?(Qe+=`
                xCOffset = xC + 1 - `+Q+`;
                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<Ee&&(Qe+=`
                  vec4 final = vec4(0.);
                  xCOffset = xC + 1 + `+Q+`;
                  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);
                `)):(Qe+=`
                if(xC >= 0 && xC < `+R+`) {
                  xTexelR`+s+"C"+u+` = getX(batch, xR, xC, d1);
                } else {
                  xTexelR`+s+"C"+u+` = vec4(0.);
                }

                xCOffset = xC + `+Q+`;
                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<Ee&&(Qe+=`
                  xR`+s+"C"+(u+1)+` = vec4(
                    xTexelR`+s+"C"+u+".zw, xTexelR"+s+"C"+(u+2)+`.zw);
                `)),Qe+="}");u<Ee&&(Qe+=`
            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<Ee&&(Qe+=`
              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<Fe;s++)for(var u=0;u<Ee;u++)Qe+="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+", "+Q+`);
      const ivec2 pads = ivec2(`+P+", "+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.);

        `+Qe+`

        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],P=p[1],L=p[2],G=p[3],Q=l[0],ke=m[0],Ce=m[1];this.outputShape=[Q,ke,Ce,G];var Fe=g==="bilinear"?1:0,Ee=[P-1+".0",L-1+".0"],Ge=Ee[0],Qe=Ee[1],s=ke>1?[""+(P-1)/(ke-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*"+Qe+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+Qe],b=h[0],T=h[1],O=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 = `+O+`;
        if( in_x < 0.0 || in_x > `+Qe+` ) {
          setOutput(float(`+I+`));
          return;
        }

        vec2 sourceFracIndexCR = vec2(in_x,in_y);
        if(`+Fe+` == 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}(),$o=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],P="",L="";l?(P=m?"end != "+(R-1):"end != 0",L=m?"end + 1":"end - 1"):(P=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 = `+vs(g,"coords")+`;
        float val = `+I+`;
        int pow2 = int(pow(2.0, index));
        if (`+P+`) {
          int idx = `+L+`;
          `+vs(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 vs(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 Do=function(){function f(p){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ee.DENSE;var l=st(p),m=tn();this.outputShape=p,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+En(["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}(),Ls=function(){function f(p){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ee.DENSE;var l=st(p),m=tn();this.outputShape=p,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+En(["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}(),es=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=`
      `+sa+`

      void main() {
        float x = getAAtOutCoords();
        `+l.output+` = encode_float(x);
      }
    `}return f}(),Ps=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=`
      `+sa+`

      void main() {
        ivec3 coords = getOutputCoords();
        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
        `+l.output+` = encode_float(x);
      }
    `}return f}(),Bs=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 P="result";m&&(P="floor(result * 255. + 0.5)"),this.userCode=`
      `+qn(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("+P+`, 0., 0., 0.);
      }
    `}return f}(),gs=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 P="",L="result";m&&(L="floor(result * 255. + 0.5)");for(var G=0;G<=1;G++)for(var Q=0;Q<=1;Q++){var ke=G*2+Q;P+=`
          localCoords = coords;
          if(localCoords[2] + `+Q+" < "+p[2]+`) {
            localCoords[2] += `+Q+`;
            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[`+ke+`] = values[0];
              } else if(offset == 1) {
                result[`+ke+`] = values[1];
              } else if(offset == 2) {
                result[`+ke+`] = values[2];
              } else {
                result[`+ke+`] = values[3];
              }
            }
          }
        `}this.userCode=`
      `+qn(p)+`

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

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

        `+P+`

        `+g.output+" = "+L+`;
      }
    `}return f}(),ts=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}(),au=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=bu(p,m);this.userCode=`
      void main() {
        `+I+` resRC = getOutputCoords();
        setOutput(getA(`+R+`));
      }
    `}return f}();function bu(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 iu=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;
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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=et(this.gl,I),jn(this.gl,R))this.textureHalfFloatExtension=et(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),jn(this.gl,g))this.colorBufferHalfFloatExtension=et(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",jn(this.gl,m))this.colorBufferFloatExtension=this.gl.getExtension(m);else if(jn(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=xs(this.gl),this.framebuffer=ta(this.gl),this.textureConfig=It(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;Ze(l,function(){return l.finish()}),Ze(l,function(){return l.bindFramebuffer(l.FRAMEBUFFER,null)}),Ze(l,function(){return l.deleteFramebuffer(p.framebuffer)}),Ze(l,function(){return l.bindBuffer(l.ARRAY_BUFFER,null)}),Ze(l,function(){return l.bindBuffer(l.ELEMENT_ARRAY_BUFFER,null)}),Ze(l,function(){return l.deleteBuffer(p.indexBuffer)}),this.disposed=!0},f.prototype.createFloat32MatrixTexture=function(p,l){return this.throwIfDisposed(),zo(this.gl,p,l,this.textureConfig)},f.prototype.createFloat16MatrixTexture=function(p,l){return this.throwIfDisposed(),Yi(this.gl,p,l,this.textureConfig)},f.prototype.createUnsignedBytesMatrixTexture=function(p,l){return this.throwIfDisposed(),ae(this.gl,p,l,this.textureConfig)},f.prototype.uploadPixelDataToTexture=function(p,l){this.throwIfDisposed(),te(this.gl,p,l)},f.prototype.uploadDenseMatrixToTexture=function(p,l,m,g){this.throwIfDisposed(),se(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),Ze(this.gl,function(){return l.gl.deleteTexture(p)})},f.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(p,l,m){var g=this;return this.downloadMatrixDriver(p,function(){return fe(g.gl,l,m,g.textureConfig)})},f.prototype.downloadPackedMatrixFromBuffer=function(p,l,m,g,I,R){return ve(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 P=I.clientWaitSync(R,0,0);return P===I.ALREADY_SIGNALED||P===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 ge(g.gl,l,m)})},f.prototype.createProgram=function(p){this.throwIfDisposed();var l=this.gl,m=rr(l,p),g=Oo(l),I=Pr(l);return Ze(l,function(){return l.attachShader(I,g)}),Ze(l,function(){return l.attachShader(I,m)}),_r(l,I),this.debug&&ar(l,I),this.vertexAttrsAreBound||(this.setProgram(I),this.vertexAttrsAreBound=H(l,this.program,this.vertexBuffer)),I},f.prototype.deleteProgram=function(p){var l=this;this.throwIfDisposed(),p===this.program&&(this.program=null),p!=null&&Ze(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&&ar(this.gl,this.program),Ze(this.gl,function(){return l.gl.useProgram(p)})},f.prototype.getUniformLocation=function(p,l,m){return m===void 0&&(m=!0),this.throwIfDisposed(),m?ra(this.gl,p,l):cn(this.gl,p,l)},f.prototype.getAttributeLocation=function(p,l){var m=this;return this.throwIfDisposed(),Ze(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(),za(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=ut(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&&ar(this.gl,this.program),fa(this.gl)},f.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var p=this.gl;this.debug&&this.debugValidate(),Ze(p,function(){return p.drawElements(p.TRIANGLES,6,p.UNSIGNED_SHORT,0)})},f.prototype.blockUntilAllProgramsCompleted=function(){var p=this;this.throwIfDisposed(),Ze(this.gl,function(){return p.gl.finish()})},f.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=et(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 V(this,void 0,void 0,function(){var l=this;return oe(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=De(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(),Gn(this.gl,p,this.framebuffer),this.debug&&fa(this.gl)},f.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(Gn(this.gl,this.outputTexture,this.framebuffer),this.debug&&fa(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;Gn(g,p,this.framebuffer),this.debug&&fa(g),this.outputTexture=p,Ze(g,function(){return g.viewport(0,0,l,m)}),Ze(g,function(){return g.scissor(0,0,l,m)})},f.prototype.setOutputMatrixWriteRegionDriver=function(p,l,m,g){var I=this;this.throwIfDisposed(),Ze(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 De(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(Qe,s){var u={logicalShape:Qe.shape,texShape:Qe.isUniform?null:Qe.texData.texShape,isUniform:Qe.isUniform,isPacked:Qe.isUniform?!1:Qe.texData.isPacked,flatOffset:null};return Qe.texData!=null&&Qe.texData.slice!=null&&Qe.texData.slice.flatOffset>0&&(u.flatOffset=Qe.texData.slice.flatOffset),{name:p.variableNames[s],shapeInfo:u}}),R=I.map(function(Qe){return Qe.shapeInfo}),P={logicalShape:m.shape,texShape:m.texData.texShape,isUniform:!1,isPacked:m.texData.isPacked,flatOffset:null},L=Mi(I,P,g,p.packedInputs),G=f.createProgram(L),Q=null,ke=f.getUniformLocation(G,"NAN",!1);i.env().getNumber("WEBGL_VERSION")===1&&(Q=f.getUniformLocation(G,"INFINITY",!1));for(var Ce={},Fe=0;Fe<p.variableNames.length;Fe++){var Ee=p.variableNames[Fe],Ge=!1;Ce[Ee]=f.getUniformLocation(G,Ee,Ge),Ce["offset"+Ee]=f.getUniformLocation(G,"offset"+Ee,Ge)}return{program:p,source:L,webGLProgram:G,uniformLocations:Ce,inShapeInfos:R,outShapeInfo:P,infLoc:Q,nanLoc:ke}}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 P=l.texShape,L=I.isUniform?null:I.texData.texShape;if(!i.util.arraysEqual(P,L))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+P+" and "+L+" must match"))})}function at(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(P,L){var G=p.program.variableNames[L],Q=p.uniformLocations[G],ke=p.uniformLocations["offset"+G];if(Q==null)return;if(P.isUniform){if(i.util.sizeFromShape(P.shape)<2)f.gl.uniform1f(Q,P.uniformValues[0]);else{var Ce=P.uniformValues;Ce instanceof Float32Array||(Ce=new Float32Array(Ce)),f.gl.uniform1fv(Q,Ce)}return}P.texData.slice!=null&&ke!=null&&f.gl.uniform1i(ke,P.texData.slice.flatOffset),f.setInputMatrixTexture(P.texData.texture,Q,L)}),g!=null&&g(f,p.webGLProgram),f.executeProgram()}function it(f,p,l){var m="";p.concat(l).forEach(function(R){var P=R.texData!=null&&R.texData.slice!=null&&R.texData.slice.flatOffset>0,L=R.isUniform?"uniform":R.texData.texShape;m+=R.shape+"_"+L+"_"+P});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,P=m.strideHeight,L=m.padInfo,G=m.outWidth,Q=m.dilationWidth,ke=m.dilationHeight,Ce=m.dataFormat,Fe=L.left,Ee=L.top,Ge=I*g,Qe=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+")) * "+P+" - "+Ee+`;
            d0 = offsetY + `+ke+" * (pos / "+Ge+`);

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

              offsetX = int(mod(float(blockIndex), `+G+".) * "+R+". - "+Fe+`.);
              d1 = offsetX + `+Q+" * (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+`

        `+Qe.output+` = result;
      }
    `}return f}(),rt=function(){function f(p,l,m,g,I){this.variableNames=["x"],this.outputShape=[];var R=l,P=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 <=  `+P+`) {
            float z = getX(b, r, c, idx);
            sum += z * z;
          }
        }
        float val = x * `+L+`;
        setOutput(val);
      }
    `}return f}(),xt=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}(),ht=function(){function f(p,l,m,g,I){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var R=l,P=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(`+P+`));

          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,P=I-1-p.padInfo.top,L=R-1-p.padInfo.left,G=I*R-1;this.userCode=`
      const ivec2 pads = ivec2(`+P+", "+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,P=p.dilationWidth,L=p.effectiveFilterDepth,G=p.effectiveFilterHeight,Q=p.effectiveFilterWidth,ke=L-1-p.padInfo.front,Ce=G-1-p.padInfo.top,Fe=Q-1-p.padInfo.left,Ee=L*G*Q-1;this.userCode=`
      const ivec3 pads = ivec3(`+ke+", "+Ce+", "+Fe+`);

      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 < `+Q+`;
                wC += `+P+`) {
              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 = `+Ee+` -
                  int(getMaxPos(batch, idyD, idyR, idyC, ch));

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

              dotProd += dyValue * mask;
            }
          }
        }
        setOutput(dotProd);
      }
    `}return f}(),zt=function(){function f(p,l,m,g,I,R,P,L){g===void 0&&(g=!1),I===void 0&&(I=!1),R===void 0&&(R=!1),P===void 0&&(P=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],Q=Math.ceil(G/2),ke=g?"i * 2, rc.y":"rc.y, i * 2",Ce=I?"rc.z, i * 2":"i * 2, rc.z",Fe=g?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],Ee=I?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],Ge="",Qe="";P&&(L?Ge=`vec4 activation(vec4 a) {
          vec4 b = getPreluActivationWeightsAtOutCoords();
          `+P+`
        }`:Ge=`vec4 activation(vec4 x) {
          `+P+`
        }`,Qe="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 = `+Q+`.0;

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

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

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

        `+s+`

        `+Qe+`

        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}(),Tt=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),P=Rt(p,m);this.userCode=`
        void main() {
          `+g+` rc = getOutputCoords();

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

            setOutput(vec4(`+P+`));
          }
        }
      `}}return f}();function Xt(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=Xt(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,Q){return G[0]+p[Q]+G[1]});var g=p.length,I=nn(g),R=l.map(function(G){return G[0]}).join(","),P=l.map(function(G,Q){return G[0]+p[Q]}).join(","),L=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,g);if(g===1){this.userCode=`
        int start = `+R+`;
        int end = `+P+`;

        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+"("+P+`);

      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(","),P=l.map(function(s,u){return s[0]+p[u]}).join(","),L=Vr("rc",g),G=Vr("source",g),Q=L[g-1]+" < "+this.outputShape[g-1],ke=g===1?"source":"vec2("+G.slice(-2).join()+")",Ce=[I+" rc = outputLoc;",L[g-1]+` += 1;
       if(`+Q+`) {
      `,g===1?"":`}
       rc = outputLoc;
       `+L[g-2]+` += 1;
       if(`+L[g-2]+" < "+this.outputShape[g-2]+") {",g===1?"":"  "+L[g-1]+` += 1;
         if(`+Q+") {"],Fe=g===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",Ee="",Ge=0,Qe=g===1?2:4;Ge<Qe;Ge++)Ee+=`
        `+Ce[Ge]+`
        if (`+Fe+`) {
          result[`+Ge+"] = float("+m+`);
        } else {
          `+I+` source = rc - start;
          result[`+Ge+"] = getChannel(getX("+G.join()+"), "+ke+`);
        }
      `;Ee+=g===1?"} ":"}}",this.userCode=`
      const `+I+" start = "+I+"("+R+`);
      const `+I+" end = "+I+"("+P+`);

      void main() {
        `+I+` outputLoc = getOutputCoords();
        vec4 result = vec4(0.);
        `+Ee+`
        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,P=p.strideHeight,L=p.strideWidth,G=p.dilationHeight,Q=p.dilationWidth,ke=p.effectiveFilterHeight,Ce=p.effectiveFilterWidth,Fe=p.padInfo.top,Ee=p.padInfo.left;this.outputShape=p.outShape;var Ge=l==="avg",Qe="((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(`+P+", "+L+`);
        const ivec2 pads = ivec2(`+Fe+", "+Ee+`);

        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 < `+ke+`;
              wR += `+G+`) {
            int xR = xRCorner + wR;

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

            for (int wC = 0; wC < `+Ce+`;
                wC += `+Q+`) {
              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?Qe: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,O=`
      if (`+Ge+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+o+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec2 strides = ivec2(`+P+", "+L+`);
      const ivec2 pads = ivec2(`+Fe+", "+Ee+`);
      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 < `+ke+`;
            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 * `+Q+`;

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

            `+O+`
          }

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

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

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

            `+O+`
          }
        }
        setOutput(`+h+`);
      }
    `}return f}(),qt=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,P=p.strideDepth,L=p.strideHeight,G=p.strideWidth,Q=p.dilationDepth,ke=p.dilationHeight,Ce=p.dilationWidth,Fe=p.effectiveFilterDepth,Ee=p.effectiveFilterHeight,Ge=p.effectiveFilterWidth,Qe=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(`+P+", "+L+", "+G+`);
        const ivec3 pads = ivec3(`+Qe+", "+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 < `+Fe+`;
              wD += `+Q+`) {
            int xD = xDCorner + wD;

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

            for (int wR = 0; wR < `+Ee+`;
                wR += `+ke+`) {
              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 * "+Ee+" * "+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 O=Math.floor(R/4)*4,q=R%4,Z=`
      if (`+r+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+b+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec3 strides =
        ivec3(`+P+", "+L+", "+G+`);
      const ivec3 pads = ivec3(`+Qe+", "+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 < `+Fe+`;
            wD += `+Q+`) {
          int xD = xDCorner + wD;

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

          for (int wR = 0; wR < `+Ee+`;
            wR += `+ke+`) {
            int xR = xRCorner + wR;

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

            for (int wC = 0; wC < `+O+`; 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)
              );

              `+Z+`
            }

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

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

              `+Z+`
            } 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
              );

              `+Z+`
            }
          }
          setOutput(`+T+`);
        }
      }
    `}return f}(),lr=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 P="0.0",L="";l==="prod"?P="1.0":l==="min"?(P="1.0 / 1e-20",L="min"):l==="max"&&(P="-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 Q=Math.floor(m/4)*4,ke=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);
      }
    `,Fe="vec4";l==="all"?(P="1.0",Ce=`
        bool reducedAllValue = all(values);
        float floatedReducedAllValue = float(reducedAllValue);
        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
      `,Fe="bvec4"):l==="any"&&(P="0.0",Ce=`
        bool reducedAnyValue = any(values);
        float floatedReducedAnyValue = float(reducedAnyValue);
        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
      `,Fe="bvec4");var Ee="";I%m>0&&(Ee=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return initializationValue;
        }
      `),this.userCode=`
      const float initializationValue = `+P+`;
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

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

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

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

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

          `+Ce+`
        }

        int inIdx = inOffset + `+Q+`;
        if (`+(ke===1)+`) {
          `+Fe+" values = "+Fe+`(
            getValue(batch, inIdx),
            initializationValue,
            initializationValue,
            initializationValue
          );

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

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

          `+Ce+`
        }
        setOutput(`+G+`);
      }
    `}return f}(),ir=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)+`
      `+qn(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=En(["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],P=p.shape,L=P[1],G=P[2],Q=[m&&L>1?I-1:I,m&&G>1?R-1:R],ke=[m&&L>1?L-1:L,m&&G>1?G-1:G],Ce=Q[0]/ke[0],Fe=Q[1]/ke[1],Ee=1/Ce,Ge=1/Fe,Qe=Math.ceil(Ee)*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(`+Fe+`);

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

        const int winHeight = int(`+Qe+`);
        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],P=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?P-1:P],Q=[g&&l>1?l-1:l,g&&m>1?m-1:m];this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+G[0]/Q[0]+`,
          `+G[1]/Q[1]+`);
      const vec2 inputShapeRC = vec2(`+R+".0, "+P+`.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],P=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?P-1:P],Q=[g&&l>1?l-1:l,g&&m>1?m-1:m];this.userCode=`
      const vec3 effectiveInputOverOutputRatioRC = vec3(
          `+G[0]/Q[0]+`,
          `+G[1]/Q[1]+`,
          `+G[1]/Q[1]+`);
      const vec3 inputShapeRC = vec3(`+R+".0, "+P+`.0,
                                     `+P+`.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}(),pr=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],P=p.shape,L=P[1],G=P[2],Q=[m&&L>1?I-1:I,m&&G>1?R-1:R],ke=[m&&L>1?L-1:L,m&&G>1?G-1:G],Ce=Q[0]/ke[0],Fe=Q[1]/ke[1],Ee=1/Ce,Ge=1/Fe,Qe=Math.ceil(Ee)*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(`+Fe+`);

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

        const int winHeight = int(`+Qe+`);
        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(`+Q[0]+`) *
                (float(dyR) / float(`+ke[0]+`));

            float sourceFracCol =
                float(`+Q[1]+`) *
                  (float(dyC) / float(`+ke[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}(),Fr=function(){function f(p,l,m,g){this.variableNames=["A"],this.outputShape=[];var I=p[0],R=p[1],P=p[2],L=p[3];this.outputShape=[I,l,m,L];var G=[g&&l>1?R-1:R,g&&m>1?P-1:P],Q=[g&&l>1?l-1:l,g&&m>1?m-1:m],ke=g?"0.5":"0.0";this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+G[0]/Q[0]+`,
          `+G[1]/Q[1]+`);
      const vec2 inputShapeRC = vec2(`+R+".0, "+P+`.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 + `+ke+`)));

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

        setOutput(newValue);
      }
    `}return f}(),mr=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(P){return l.indexOf(P)!==-1&&p[P]!==1?p[P]+" - coords["+P+"] - 1":"coords["+P+"]"},I=p.map(function(P,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],P=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() {
          `+P+` rc = getOutputCoords();
          vec4 result = vec4(0.);
          result.r = `+L(g.slice())+`;
          if(`+I+`){
            result.g = `+G(g.slice())+`;
          }
          if(`+R+`) {
            result.b = `+Q(g.slice())+`;
            if(`+I+`) {
              result.a = `+ke(g.slice())+`;
            }
          }
          setOutput(result);
        }
    `;function L(Ee){return Ce(Ee)}function G(Ee){return Ee[m-1]="("+Ee[m-1]+" + 1)",Ce(Ee)}function Q(Ee){return Ee[m-2]="("+Ee[m-2]+" + 1)",Ce(Ee)}function ke(Ee){return Ee[m-1]="("+Ee[m-1]+" + 1)",Ee[m-2]="("+Ee[m-2]+" + 1)",Ce(Ee)}function Ce(Ee){var Ge=p.map(function(u,r){return Fe(r,Ee)}),Qe=Ge.join(","),s=Ge.slice(-2).join(",");return"getChannel(getX("+Qe+"), vec2("+s+"))"}function Fe(Ee,Ge){return l.indexOf(Ee)!==-1&&p[Ee]!==1?p[Ee]+" - "+Ge[Ee]+" - 1":""+Ge[Ee]}}return f}(),an=function(){function f(p,l,m,g,I,R,P){this.variableNames=["updates","indices","defaultValue"],this.outputShape=R;var L=nn(I.length),G=nn(R.length),Q="";m===1?Q="i":m===2&&(Q="i, j");var ke="getIndices("+Q+")",Ce="";g===1?Ce="i":g===2&&(Ce="i, coords[1]");var Fe="getUpdates("+Ce+")",Ee=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(`+ke+`);
              flattenedIndex += index * `+Ee+`;
            }
            if (flattenedIndex == coords[0]) {
              sum += `+Fe+`;
              found = true;
            }
          }
          setOutput(mix(getDefaultValue(), sum, float(found)));
        }
      `}return f}(),_n=function(){function f(p,l){this.variableNames=["x","segmentIds"];var m=p.windowSize,g=p.batchSize,I=p.inSize,R=p.numSegments,P=R*Math.ceil(I/m);this.outputShape=[g,P];var L="0.0",G="sumValue",Q=Math.floor(m/4)*4,ke=m%4,Ce=`
        sumValue += dot(values, segFilter);
    `,Fe="";I%m>0&&(Fe=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return initializationValue;
        }
      `);var Ee="";I%m>0&&(Ee=`
        if (inIdx < 0 || inIdx >= `+I+`) {
          return -1.0;
        }
      `),this.userCode=`
      const float initializationValue = `+L+`;

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

      float getSegmentIdAtIndex(int inIdx) {
        `+Ee+`
        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 < `+Q+`; 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 + `+Q+`;
        if (`+(ke===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 (`+(ke===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 (`+(ke===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"],P=[],L=[],G=0;G<l.length;G++)L.push(""+R[G]),G<p&&P.push(""+R[G]);g=P.join(),I=L.join()}var Q=nn(m);this.userCode=`
      void main() {
        `+Q+` resRC = getOutputCoords();
        float cVal = getC(`+g+`);
        if (cVal >= 1.0) {
          setOutput(getA(`+I+`));
        } else {
          setOutput(getB(`+I+`));
        }
      }
    `}return f}(),In=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=Re(this.rank),I,R=p.map(function(P,L){return"sourceLoc."+wn[L]+" = start["+L+"] + coords."+wn[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}(),wn=["x","y","z","w","u","v"];function Re(f){if(f===1)return"sourceLoc";if(f<=6)return wn.slice(0,f).map(function(p){return"sourceLoc."+p}).join(",");throw Error("Slicing for rank "+f+" is not yet supported")}var Un=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+")",P=`
      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(Q,ke){return"start["+ke+"]"}).join()+");":p.map(function(Q,ke){return g[ke]+" = "+m[ke]+" + start["+ke+"];"}).join(`
`);this.userCode=`
      uniform int start[`+this.rank+`];
      void main() {
        `+l+` coords = getOutputCoords();
        `+l+` sourceLoc;
        `+G+`
        vec4 result = vec4(0.);
        `+P+`
        `+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}(),Ln=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=m;var g=m.length,I=nn(m.length),R=nn(m.length),P="";if(g===1)P="coords * strides + begin";else{var L=0;P=m.map(function(G,Q){return L++,m.length===1?"coords * strides["+Q+"] + begin["+Q+"]":"coords["+(L-1)+"] * strides["+Q+"] + begin["+Q+"]"}).join(",")}this.userCode=`
      `+I+" begin = "+I+"("+p+`);
      `+I+" strides = "+I+"("+l+`);

      void main() {
        `+R+` coords = getOutputCoords();
        setOutput(getX(`+P+`));
      }
    `}return f}(),Oa=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=xa(l,m),I=_a(p,g,m);I in this.freeTextures||(this.freeTextures[I]=[]),I in this.usedTextures||(this.usedTextures[I]=[]);var R=Ja(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 P=this.freeTextures[I].shift();return this.usedTextures[I].push(P),P}var L;return g===xe.PACKED_2X2_FLOAT32?L=this.gpgpu.createPackedMatrixTexture(p[0],p[1]):g===xe.PACKED_2X2_FLOAT16?L=this.gpgpu.createFloat16PackedMatrixTexture(p[0],p[1]):g===xe.UNPACKED_FLOAT32?L=this.gpgpu.createFloat32MatrixTexture(p[0],p[1]):g===xe.UNPACKED_FLOAT16?L=this.gpgpu.createFloat16MatrixTexture(p[0],p[1]):g===xe.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=xa(m,g),R=_a(l,I,g);R in this.freeTextures||(this.freeTextures[R]=[]);var P=Ja(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-=P):(this.freeTextures[R].push(p),this.numFreeTextures++,this._numBytesFree+=P),this.numUsedTextures--;var G=this.usedTextures[R],Q=G.indexOf(p);if(Q<0)throw new Error("Cannot release a texture that was never provided by this texture manager");G.splice(Q,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 An(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 Ja(f,p,l,m,g){var I=Wa(p,m),R;if(g){var P=ut(f[0],f[1]),L=P[0],G=P[1];R=L*G}else{var Q=We(f[0],f[1]),ke=Q[0],Ce=Q[1];R=ke*Ce}var Fe=An(l,I);return R*Fe}function Wa(f,p){switch(f){case xe.PACKED_2X2_FLOAT32:return ue(p);case xe.PACKED_2X2_FLOAT16:return D(p);case xe.UNPACKED_FLOAT32:return ki(p);case xe.UNPACKED_FLOAT16:return Lo(p);case xe.PACKED_4X1_UNSIGNED_BYTE:return ns(p);default:throw new Error("Unknown physical texture type "+f)}}function $a(f){return i.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?f?xe.PACKED_2X2_FLOAT32:xe.UNPACKED_FLOAT32:f?xe.PACKED_2X2_FLOAT16:xe.UNPACKED_FLOAT16}function xa(f,p){if(f===w.UPLOAD)return xe.PACKED_2X2_FLOAT32;if(f===w.RENDER||f==null)return $a(p);if(f===w.DOWNLOAD||f===w.PIXELS)return xe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+f)}function _a(f,p,l){return f[0]+"_"+f[1]+"_"+p+"_"+l}var Zi=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=Bi(p);this.userCode=`
      void main() {
        `+I+` resRC = getOutputCoords();
        setOutput(getA(`+R+`));
      }
    `}return f}();function Bi(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 Mr=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}(),ei="if (isnan(x)) return x;",as="return x;",Po="return abs(x);",dn=ei+`
  return (x < 0.0) ? 0.0 : x;
`,Bo=ei+`
  return (x < 0.0) ? 0.0 : min(6.0, x);
`,Fn="return (x >= 0.0) ? x : (exp(x) - 1.0);",ou=`
  // 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),ei+(`
    return x > 0.0 ? 1.0 : float(`+f+`);
  `)}var ui="return -x;",ku="return ceil(x);",Su="return floor(x);",lc=`
  if (isnan(x)) { return 0.0; }
  return sign(x);
`,_s="return float(isnan(x));",Si="return float(isinf(x));",ws="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;
    }
  }
`,uo="return exp(x);",Iu="return exp(x) - 1.0;",su=`if (x < 0.0) return NAN;
  return log(x);`,bs="return log(1.0 + x);",Nu="return sqrt(x);",uu="return inversesqrt(x);",Cu="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;
`,co=ei+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return asin(x);
`,ks=ei+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return acos(x);
`,Tu=ei+`
  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=ei+"return log(x + sqrt(x * x + 1.0));",Eu=ei+`
  if (x < 1.0) return NAN;
  return log(x + sqrt(x * x - 1.0));`,mc=ei+`
  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));
`,Ii="return 1.0 / x;",is="return float(!(x >= 1.0));",Ss="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;
`,lo=`
  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;
`,cu=`
  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;
`,os=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),P=l<=1?"rc":"vec2("+R.join(",")+")";this.userCode=`
      void main() {
        `+g+` rc = getOutputCoords();
        vec4 packedInput = getA(`+I+`);

        setOutput(getChannel(packedInput, `+P+`));
      }
    `}return f}(),gl=i.backend_util.segment_util,xl=i.kernel_impls.split,Ru=i.kernel_impls.tile,gc=i.kernel_impls.topkImpl,Ws=i.kernel_impls.whereImpl,xc=1e-7,Qi=1e-4,lu={};function dr(f){return f in lu||(lu[f]={}),lu[f]}function Us(f,p){if(p===void 0&&(p=!1),f==="linear")return p?vc:as;if(f==="relu")return p?lo:dn;if(f==="elu")return p?cu:Fn;if(f==="relu6")return p?Uo:Bo;if(f==="prelu")return p?Da:Ta;throw new Error("Activation "+f+" has not been implemented for the WebGL backend.")}var Ho=128,Au=600;function _c(){return i.env().global.screen==null?1024:i.env().global.screen.height*i.env().global.screen.width*window.devicePixelRatio*Au/1024/1024}var Fu=1e3,Go=function(f){M(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=z(i.env().getNumber("WEBGL_VERSION"));m.binaryCache=dr(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 Oa(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,P=m.slice,L=m.shape,G=m.isPacked;if(P!=null){var Q=void 0;G?Q=new os(L,Ss):Q=new Mr(L,Ss);var ke=this.runWebGLProgram(Q,[{dataId:l,shape:L,dtype:I}],I),Ce=this.readSync(ke.dataId);return this.disposeIntermediateTensorInfo(ke),Ce}if(g!=null)return this.convertAndCacheOnCPU(l);if(I==="string")return g;var Fe=this.activeTimers!=null,Ee;Fe&&(Ee=i.util.now());var Ge;if(I==="complex64"){var Qe=this.readSync(R.real.dataId),s=this.readSync(R.imag.dataId);Ge=i.backend_util.mergeRealAndImagArrays(Qe,s)}else Ge=this.getValuesFromTexture(l);return Fe&&(this.downloadWaitMs+=i.util.now()-Ee),this.convertAndCacheOnCPU(l,Ge)},p.prototype.read=function(l){return V(this,void 0,void 0,function(){var m,g,I,R,P,L,G,Q,ke,Ce,Fe,Ee,Ge,Qe,s,u,r,o,h,b,T,O;return oe(this,function(q){switch(q.label){case 0:if(this.pendingRead.has(l))return m=this.pendingRead.get(l),[2,new Promise(function(Z){return m.push(Z)})];if(g=this.texData.get(l),I=g.values,R=g.shape,P=g.slice,L=g.dtype,G=g.complexTensorInfos,Q=g.isPacked,P!=null)return ke=void 0,Q?ke=new os(R,Ss):ke=new Mr(R,Ss),Ce=this.runWebGLProgram(ke,[{dataId:l,shape:R,dtype:L}],L),Fe=this.read(Ce.dataId),this.disposeIntermediateTensorInfo(Ce),[2,Fe];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 Ee=null,L!=="complex64"&&i.env().get("WEBGL_BUFFER_SUPPORTED")&&(Ge=this.decode(l),Qe=this.texData.get(Ge.dataId),Ee=(O=this.gpgpu).createBufferFromTexture.apply(O,[Qe.texture].concat(st(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:Ee==null?s=this.getValuesFromTexture(l):(h=i.util.sizeFromShape(R),s=this.gpgpu.downloadFloat32MatrixFromBuffer(Ee,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(Z){return Z(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(!ot(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,P=g.isPacked,L=i.util.sizeFromShape(I);if(i.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var G=this.decode(l),Q=this.texData.get(G.dataId),ke=(m=this.gpgpu).downloadMatrixFromPackedTexture.apply(m,[Q.texture].concat(st(I))).subarray(0,L);return this.disposeIntermediateTensorInfo(G),ke}var Ce=i.env().getBool("WEBGL_PACK")&&P===!0,Fe=Ce?hi(I):I,Ee=Ce?new Ps(Fe):new wo(Fe),Ge=this.runWebGLProgram(Ee,[{shape:Fe,dtype:R,dataId:l}],"float32"),Qe=this.texData.get(Ge.dataId),s=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(Qe.texture,Qe.texShape[0],Qe.texShape[1]).subarray(0,L);return this.disposeIntermediateTensorInfo(Ge),s},p.prototype.time=function(l){return V(this,void 0,void 0,function(){var m,g,I,R,P,L,G;return oe(this,function(Q){switch(Q.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(ke){return ke.query})).filter(function(ke){return ke!=null}),P=i.util.flatten(this.activeTimers.map(function(ke){return ke.name})).filter(function(ke){return ke!=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=Q.sent(),L.kernelMs=i.util.sum(G),L.getExtraProfileInfo=function(){return G.map(function(ke,Ce){return{name:P[Ce],ms:ke}}).map(function(ke){return ke.name+": "+ke.ms}).join(", ")},[3,3];case 2:L.kernelMs={error:"WebGL query timers are not supported in this environment."},Q.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 V(this,void 0,void 0,function(){var m;return oe(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,P=m.usage,L=m.isPacked,G=m.slice,Q=G&&G.origDataId||l,ke=this.dataRefCount.get(Q);ke>1?this.dataRefCount.set(Q,ke-1):(this.dataRefCount.delete(Q),g!=null&&(this.numBytesInGPU-=this.computeBytes(R,I),this.textureManager.releaseTexture(g,R,P,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=va(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,P=i.slice_util.isSliceContinous(l.shape,m,g);if(R||!P){var L=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Un(g):new In(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),P=this.texData.get(R.dataId);Object.assign(P,I),P.shape=g,P.dtype=l.dtype;var L=i.slice_util.computeFlatOffset(m,l.strides);I.slice&&(L+=I.slice.flatOffset),P.slice={flatOffset:L,origDataId:I.slice&&I.slice.origDataId||l.dataId};var G=this.dataRefCount.get(P.slice.origDataId)||1;return this.dataRefCount.set(P.slice.origDataId,G+1),R},p.prototype.stridedSlice=function(l,m,g,I){var R=this,P=this.tryRunOnCpuOrThrow([l],function(){return R.cpuBackend.stridedSlice(l,m,g,I)});if(P)return P;var L=i.slice_util.computeOutShape(m,g,I);if(L.some(function(Q){return Q===0}))return i.tensor([],L);var G=new Ln(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 mr(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,ui,l.dtype);var I=new Mr(l.shape,ui);return this.compileAndRun(I,[l])},p.prototype.batchMatMul=function(l,m,g,I){var R=g?l.shape[2]:l.shape[1],P=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||P===1)&&L>Fu){g&&(l=i.transpose(l,[0,2,1])),I&&(m=i.transpose(m,[0,2,1]));var Q=P===1?l:l.as3D(G,L,1),ke=P===1?2:1,Ce=P===1?m.as3D(G,1,L):m,Fe=i.mul(Q,Ce);return Fe.sum(ke,!0)}var Ee=i.upcastType(l.dtype,m.dtype),Ge=new zt(l.shape,m.shape,[G,R,P],g,I);return this.compileAndRun(Ge,[l,m],Ee)},p.prototype.fusedBatchMatMul=function(l){var m=l.a,g=l.b,I=l.transposeA,R=l.transposeB,P=l.bias,L=l.activation,G=l.preluActivationWeights,Q=I?m.shape[2]:m.shape[1],ke=R?g.shape[1]:g.shape[2],Ce=Math.max(m.shape[0],g.shape[0]),Fe=i.upcastType(m.dtype,g.dtype),Ee=P!=null,Ge=G!=null,Qe=L?Us(L,!0):null,s=new zt(m.shape,g.shape,[Ce,Q,ke],I,R,Ee,Qe,Ge),u=[m,g];return P&&u.push(P),G&&u.push(G),this.compileAndRun(s,u,Fe)},p.prototype.localResponseNormalization4D=function(l,m,g,I,R){var P=i.env().getBool("WEBGL_PACK_NORMALIZATION")?new ht(l.shape,m,g,I,R):new rt(l.shape,m,g,I,R);return this.compileAndRun(P,[l])},p.prototype.LRNGrad=function(l,m,g,I,R,P,L){var G=new xt(m.shape,I,R,P,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 Ru(R,m)}var P=new Zi(l.shape,m);return this.compileAndRun(P,[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 P=new au(l.shape,m.size,g);return this.compileAndRun(P,[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(ke,Ce){return ke*Ce}),R=i.backend_util.getReshaped(l.shape,m,I),P=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),Q=i.backend_util.getSliceSize(L,g,m.length);return i.transpose(l.reshape(R),P).reshape(L).slice(G,Q)},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(Fe,Ee){return Fe*Ee}),R=[[0,0]];R.push.apply(R,g);for(var P=1+m.length;P<l.shape.length;++P)R.push([0,0]);var L=l.pad(R),G=i.backend_util.getReshaped(L.shape,m,I,!1),Q=i.backend_util.getPermuted(G.length,m.length,!1),ke=i.backend_util.getReshapedPermuted(L.shape,m,I,!1),Ce=i.transpose(L.reshape(G),Q);return i.reshape(Ce,ke)},p.prototype.reduce=function(l,m,g){var I=l.shape[0],R=l.shape[1],P=i.backend_util.computeOptimalWindowSize(R),L=Math.ceil(R/P),G={windowSize:P,inSize:R,batchSize:I,outSize:L},Q=new lr(G,m),ke=this.compileAndRun(Q,[l],g);return ke.shape[1]===1?ke:this.reduce(ke,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 P=i.backend_util.computeOptimalWindowSize(R),L={windowSize:P,inSize:R,batchSize:I,outSize:Math.ceil(R/P)},G=new oa(L,m,g==null),Q=[l];g!=null&&Q.push(g);var ke=this.compileAndRun(G,Q,"int32");return ke.shape[1]===1?ke:this.argReduce(l,m,ke)},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],P=i.backend_util.computeOptimalWindowSize(R),L=new Xi(I,P,m,g==null),G=g==null?[l]:[l,g],Q=this.compileAndRun(L,G,"int32");return Q.rank===l.rank?this.argReducePacked(l,m,Q):Q},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],P=i.util.sizeFromShape(R),L=l.as2D(-1,P),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),P=R[0],L=R[1],G=i.util.sizeFromShape(L),Q=l.as2D(-1,G),ke=i.sumOutType(l.dtype);return this.reduce(Q,"prod",ke).reshape(P)},p.prototype.unsortedSegmentSum=function(l,m,g){var I=0,R=i.backend_util.getAxesPermutation([I],l.rank),P=l;R!=null&&(P=i.transpose(l,R),I=i.backend_util.getInnerMostAxes(1,l.rank)[0]);var L=gl.computeOutShape(P.shape,I,g),G=i.util.sizeFromShape([P.shape[I]]),Q=P.as2D(-1,G),ke=i.sumOutType(l.dtype),Ce=this.segOpCompute(Q,"unsortedSegmentSum",m,ke,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 P=l.shape[0],L=l.shape[1],G=gl.segOpComputeOptimalWindowSize(L,R),Q={windowSize:G,inSize:L,batchSize:P,numSegments:R},ke=new _n(Q,m),Ce=this.compileAndRun(ke,[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),P=R[0],L=R[1],G=i.util.sizeFromShape(L),Q=l.as2D(-1,G);return this.argReduce(Q,g).reshape(P)}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],P=l,L=0;L<=Math.ceil(Math.log2(R))-1;L++){var G=new $o(l.shape,!1,I),Q=G.getCustomSetupFunc(L),ke=P;P=this.compileAndRun(G,[P],P.dtype,Q),ke.dispose()}if(g){var G=new $o(l.shape,g,I),ke=P;P=this.compileAndRun(G,[P]),ke.dispose()}return P},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(io,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,Es,"bool");var R=new vn(Yo,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,Rs,"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,As,"bool");var g=new vn(oo,l.shape,m.shape);return this.compileAndRun(g,[l,m],"bool")},p.prototype.logicalNot=function(l){var m=new Mr(l.shape,is);return this.compileAndRun(m,[l])},p.prototype.logicalAnd=function(l,m){if(i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(l,m,Zo,"bool");var g=new vn(ua,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(Br,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 Ws(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],P=i.util.sizeFromShape(R),L=l.as2D(-1,P);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(Qa,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(Jo,l.shape,m.shape):new vn(Zn,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(Qo,l.shape,m.shape):new vn(ca,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],P=i.util.sizeFromShape(R),L=l.as2D(-1,P);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],P=i.util.sizeFromShape(R),L=l.as2D(-1,P);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 os(l.shape,m);return this.compileAndRun(I,[l],g)},p.prototype.packedBinaryOp=function(l,m,g,I,R){R===void 0&&(R=!1);var P=new vi(g,l.shape,m.shape,R);return this.compileAndRun(P,[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(Q){return Q.dtype}).reduce(function(Q,ke){return i.upcastType(Q,ke)}),P=l.map(function(Q){return Q.shape}),L=i.env().getBool("WEBGL_PACK"),G=L?new hn(l[0].shape,P):new rn(l[0].shape,P);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(Za,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=ze(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,ku,l.dtype);var g=new Mr(l.shape,ku);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,Su,l.dtype);var g=new Mr(l.shape,Su);return this.compileAndRun(g,[l])},p.prototype.sign=function(l){var m=new Mr(l.shape,lc);return this.compileAndRun(m,[l])},p.prototype.isNaN=function(l){var m=new Mr(l.shape,_s);return this.compileAndRun(m,[l],"bool")},p.prototype.isInf=function(l){var m=new Mr(l.shape,Si);return this.compileAndRun(m,[l],"bool")},p.prototype.isFinite=function(l){var m=new Mr(l.shape,ws);return this.compileAndRun(m,[l],"bool")},p.prototype.round=function(l){var m=new Mr(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,uo,l.dtype);var g=new Mr(l.shape,uo);return this.compileAndRun(g,[l])},p.prototype.expm1=function(l){if(this.shouldExecuteOnCPU([l])){var m=Dt(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 Mr(l.shape,Iu);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),P=i.sub(l,I.reshape(R)),L=this.exp(P),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 Mr(l.shape,su);return this.compileAndRun(g,[l])},p.prototype.log1p=function(l){var m=new Mr(l.shape,bs);return this.compileAndRun(m,[l])},p.prototype.sqrt=function(l){var m=new Mr(l.shape,Nu);return this.compileAndRun(m,[l])},p.prototype.rsqrt=function(l){if(this.shouldExecuteOnCPU([l])){var m=aa(this.texData.get(l.dataId).values,l.dtype);return this.makeOutput(l.shape,l.dtype,m)}var g=new Mr(l.shape,uu);return this.compileAndRun(g,[l])},p.prototype.reciprocal=function(l){var m=new Mr(l.shape,Ii);return this.compileAndRun(m,[l])},p.prototype.relu=function(l){var m;return i.env().getBool("WEBGL_PACK")?m=new os(l.shape,lo):m=new Mr(l.shape,dn),this.compileAndRun(m,[l])},p.prototype.relu6=function(l){var m;return i.env().getBool("WEBGL_PACK")?m=new os(l.shape,Uo):m=new Mr(l.shape,Bo),this.compileAndRun(m,[l])},p.prototype.prelu=function(l,m){var g=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new vi(Da,l.shape,m.shape):new vn(Ta,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,cu,l.dtype);var m=new Mr(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(so,l.shape,m.shape);return this.compileAndRun(g,[l,m])},p.prototype.selu=function(l){var m=new Mr(l.shape,ou);return this.compileAndRun(m,[l])},p.prototype.clip=function(l,m,g){var I;i.env().getBool("WEBGL_PACK_CLIP")?I=new eu(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 Mr(l.shape,Po);return this.compileAndRun(g,[l])},p.prototype.complexAbs=function(l){var m=this.texData.get(l.dataId),g=new ds(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 Mr(l.shape,Cu);return this.compileAndRun(m,[l])},p.prototype.softplus=function(l){var m=new Mr(l.shape,hc);return this.compileAndRun(m,[l])},p.prototype.asin=function(l){var m=new Mr(l.shape,co);return this.compileAndRun(m,[l])},p.prototype.acos=function(l){var m=new Mr(l.shape,ks);return this.compileAndRun(m,[l])},p.prototype.atan=function(l){var m=new Mr(l.shape,Tu);return this.compileAndRun(m,[l])},p.prototype.sinh=function(l){var m=new Mr(l.shape,pc);return this.compileAndRun(m,[l])},p.prototype.cosh=function(l){var m=new Mr(l.shape,dc);return this.compileAndRun(m,[l])},p.prototype.tanh=function(l){var m=new Mr(l.shape,fc);return this.compileAndRun(m,[l])},p.prototype.asinh=function(l){var m=new Mr(l.shape,vl);return this.compileAndRun(m,[l])},p.prototype.acosh=function(l){var m=new Mr(l.shape,Eu);return this.compileAndRun(m,[l])},p.prototype.atanh=function(l){var m=new Mr(l.shape,mc);return this.compileAndRun(m,[l])},p.prototype.erf=function(l){var m=new Mr(l.shape,yc);return this.compileAndRun(m,[l])},p.prototype.step=function(l,m){var g=new Mr(l.shape,cc(m));return this.compileAndRun(g,[l])},p.prototype.conv2dByMatMul=function(l,m,g,I,R,P){var L=l.shape,G=this.texData.get(l.dataId),Q=g.inChannels,ke=L[0]*L[1]*L[2],Ce=g.outChannels,Fe=g.dataFormat==="channelsLast",Ee=!1,Ge=!1,Qe=(ke===1||Ce===1)&&Q>Fu,s=L[2]%2!==0&&!!G.isPacked;if(Qe||!i.env().getBool("WEBGL_LAZILY_UNPACK")||!i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!s){var u=Fe?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:Ee,transposeB:Ge,bias:I,activation:R,preluActivationWeights:P});return i.reshape(h,g.outShape)}var b=Fe?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},O=G.shape;G.shape=G.shape.slice(),G.shape[G.shape.length-2]++,i.util.assert(xn(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]),Z=this.fusedBatchMatMul({a:T,b:q,transposeA:Ee,transposeB:Ge,bias:I,activation:R,preluActivationWeights:P}),le=this.texData.get(Z.dataId);return i.util.assert(le.isPacked,function(){return"batchMatMul result is expected to be packed"}),G.shape=O,le.shape=g.outShape,i.engine().makeTensorFromDataId(Z.dataId,g.outShape,Z.dtype)},p.prototype.conv2dWithIm2Row=function(l,m,g,I,R,P){var L=g.filterWidth,G=g.filterHeight,Q=g.inChannels,ke=g.outWidth,Ce=g.outHeight,Fe=g.dataFormat,Ee=Fe==="channelsLast",Ge=L*G*Q,Qe=Ce*ke,s=[Ge,Qe],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]]),O=I!=null,q=P!=null,Z=R?Us(R,!0):null,le=new zt(T.shape,h.shape,[1,Qe,g.outChannels],u,r,O,Z,q),Ne=[T,h];I&&Ne.push(I),q&&Ne.push(P);var Be=this.compileAndRun(le,Ne);return Ee?Be.reshape([1,Ce,ke,g.outChannels]):Be.reshape([1,g.outChannels,Ce,ke])},p.prototype.fusedConv2d=function(l){var m=l.input,g=l.filter,I=l.convInfo,R=l.bias,P=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,P,L);if(i.env().getBool("WEBGL_CONV_IM2COL")&&m.shape[0]===1)return this.conv2dWithIm2Row(m,g,I,R,P,L);var G=R!=null,Q=L!=null,ke=P?Us(P,!1):null,Ce=new ms(I,G,ke,Q),Fe=[m,g];return R&&Fe.push(R),L&&Fe.push(L),this.compileAndRun(Ce,Fe)},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 ms(g);return this.compileAndRun(I,[l,m])},p.prototype.conv2dDerInput=function(l,m,g){var I=new Ds(g);return this.compileAndRun(I,[l,m])},p.prototype.conv2dDerFilter=function(l,m,g){var I=new tu(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,P=l.activation,L=l.preluActivationWeights,G=i.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&I.strideWidth<=2&&I.outChannels/I.inChannels===1,Q=P?Us(P,G):null,ke=[m,g],Ce=R!=null,Fe=L!=null;Ce&&ke.push(R),Fe&&ke.push(L);var Ee;return G?(Ee=new Fo(I,Ce,Q,Fe),this.compileAndRun(Ee,ke)):(Ee=new ys(I,Ce,Q,Fe),this.compileAndRun(Ee,ke))},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 Fo(g),this.compileAndRun(I,[l,m])):(I=new ys(g),this.compileAndRun(I,[l,m]))},p.prototype.depthwiseConv2DDerInput=function(l,m,g){var I=new ru(g);return this.compileAndRun(I,[l,m])},p.prototype.depthwiseConv2DDerFilter=function(l,m,g){var I=new Ms(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3d=function(l,m,g){var I=new nu(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3dDerInput=function(l,m,g){var I=new Os(g);return this.compileAndRun(I,[l,m])},p.prototype.conv3dDerFilter=function(l,m,g){var I=new fs(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,P=0;P<l.rank;P++)P!==m&&(I[R++]=l.shape[P]);var L=new Array(l.rank).fill(0),G=l.shape.slice();G[m]=1;for(var Q=new Array(g),P=0;P<Q.length;P++)L[m]=P,Q[P]=this.slice(l,L,G).reshape(I);return Q},p.prototype.avgPool3d=function(l,m){var g=new qt(m,"avg",!1);return this.compileAndRun(g,[l],"float32")},p.prototype.avgPool3dBackprop=function(l,m,g){var I=new Li(g);return this.compileAndRun(I,[l],m.dtype)},p.prototype.maxPool3d=function(l,m){var g=new qt(m,"max",!1);return this.compileAndRun(g,[l],"float32")},p.prototype.maxPool3dBackprop=function(l,m,g,I){var R=!0,P=new qt(I,"max",R),L=this.compileAndRun(P,[m]),G=new At(I),Q=this.compileAndRun(G,[l,L],m.dtype);return L.dispose(),Q},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 Fr(l.shape,m,g,I);return this.compileAndRun(R,[l])},p.prototype.resizeNearestNeighborBackprop=function(l,m,g){var I=new pr(l,m,g);return this.compileAndRun(I,[l])},p.prototype.multinomial=function(l,m,g,I){var R=m?l:i.softmax(l),P=R.shape[0],L=R.shape[1],G=new Pt(P,L,g),Q=G.getCustomSetupFunc(I);return this.compileAndRun(G,[R],"int32",Q)},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,P){var L=new zs(l.shape,m.shape,I,R,P);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],P=g==="NHWC"?l.shape[2]:l.shape[3],L=g==="NHWC"?l.shape[3]:l.shape[1],G=R*m,Q=P*m,ke=L/(m*m),Ce=g==="NHWC"?[I,G,Q,ke]:[I,ke,G,Q],Fe=new es(Ce,m,g);return this.compileAndRun(Fe,[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,P=I.numUpdates,L=I.sliceSize,G=I.strides,Q=I.outputSize,ke=[Q/L,L],Ce=l.reshape([P,R]),Fe=m.reshape([P,L]);if(Q===0)return i.backend_util.reshapeTensor(i.tensor([]),g);var Ee=i.scalar(0),Ge=new an(P,R,Ce.rank,Fe.rank,G,ke),Qe=this.compileAndRun(Ge,[Fe,Ce,Ee]);return Qe.reshape(g)},p.prototype.sparseToDense=function(l,m,g,I){var R=i.backend_util.calculateShapes(m,l,g),P=R.sliceRank,L=R.numUpdates,G=R.strides,Q=R.outputSize,ke=!1,Ce=new an(L,P,l.rank,m.rank,G,[Q,1],ke),Fe=this.compileAndRun(Ce,[m,l,I]);return Fe.reshape(g)},p.prototype.gatherND=function(l,m){var g=m.shape,I=g[g.length-1],R=i.backend_util.prepareAndValidate(l,m),P=R[0],L=R[1],G=R[2],Q=R[3],ke=m.reshape([L,I]),Ce=l.reshape([l.size/G,G]),Fe=new iu(I,Q,[L,G]),Ee=this.compileAndRun(Fe,[Ce,ke]);return Ee.reshape(P)},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 ts(l,m),P=R.getCustomSetupFunc(m);return this.compileAndRun(R,[],g,P)}},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 Tt(l.shape),g=!0;return this.runWebGLProgram(m,[l],l.dtype,null,g)},p.prototype.packedReshape=function(l,m){var g=[Ga(l.shape)].concat(Sa(l.shape)),I={dtype:l.dtype,shape:g,dataId:l.dataId},R=[Ga(m)].concat(Sa(m)),P=new ir(R,g),L=!0,G=this.runWebGLProgram(P,[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,P=hi(I),L;g?L=new Ls(P):L=new Do(P);var G=!0,Q=this.runWebGLProgram(L,[{shape:P,dtype:R,dataId:l}],R,null,G);return{dtype:R,shape:I,dataId:Q.dataId}},p.prototype.runWebGLProgram=function(l,m,g,I,R){var P=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===ee.DENSE){var Q=st(l.outputShape);G.texShape=Q.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 ke=[],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=P.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?P.unpackTensor(r):P.packTensor(r),ke.push(r),o=P.texData.get(r.dataId);else if(o.isPacked&&!xn(o.shape,r.shape)){var h=r,b=r.shape;r.shape=o.shape,r=P.packedReshape(r,b),ke.push(r),o=P.texData.get(r.dataId),h.shape=b}return P.uploadToGPU(r.dataId),{shape:r.shape,texData:o,isUniform:!1}});this.uploadToGPU(L.dataId);var Fe={shape:L.shape,texData:G,isUniform:!1},Ee=it(l,Ce,Fe),Ge=this.getAndSaveBinary(Ee,function(){return Ve(P.gpgpu,l,Ce,Fe)}),Qe=this.activeTimers!=null,s;if(Qe&&(s=this.startTimer()),at(this.gpgpu,Ge,Ce,Fe,I),ke.forEach(function(r){return P.disposeIntermediateTensorInfo(r)}),Qe&&(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 P=this.runWebGLProgram(l,m,g,I,R);return i.engine().makeTensorFromDataId(P.dataId,P.shape,P.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,P=g.values,L=g.texture,G=g.usage,Q=g.isPacked;if(L!=null)return;var ke=this.activeTimers!=null,Ce;ke&&(Ce=i.util.now());var Fe=g.texShape;if(Fe==null&&(Fe=La(I,Q),g.texShape=Fe),P!=null){var Ee=hi(I),Ge=void 0,Qe=Fe[1],s=Fe[0],u=P instanceof Uint8Array;Q?(m=ut(Fe[0],Fe[1]),Qe=m[0],s=m[1],Ge=new gs(Ee,[s,Qe],u)):Ge=new Bs(Ee,[s,Qe],u);var r=this.makeTensorInfo([s,Qe],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),Qe,s,P);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,ke&&(this.uploadWaitMs+=i.util.now()-Ce)}else{var T=this.acquireTexture(Fe,G,R,Q);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 Du="2.7.0";function Vs(){i.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}i.device_util.isBrowser()&&i.registerBackend("webgl",function(){return new Go},2);var bc={forceHalfFloat:Vs};function ho(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:ho};function po(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),P=ho({inputs:{x:m},backend:l}),L=l.texData.get(P.dataId);L.complexParentRefCount++;var G=ho({inputs:{x:g},backend:l}),Q=l.texData.get(G.dataId);return Q.complexParentRefCount++,R.complexTensorInfos={real:P,imag:G},I}var Sc={kernelName:i.Complex,backendName:"webgl",kernelFunc:po},hu="if (isnan(x)) return x;",Ic=`
  if (isnan(a)) return a;
  if (isnan(b)) return b;
`,Ou=`
  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 Hs(f){return function(p){var l=p.inputs,m=p.backend,g=l.x,I=m,R=new Mr(g.shape,f);return I.runWebGLProgram(R,[g],g.dtype)}}function fo(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,P=f.cpuKernelImpl,L=f.dtype;return function(G){var Q=G.inputs,ke=G.backend,Ce=Q,Fe=Ce.a,Ee=Ce.b,Ge=ke;if(R&&Fe.dtype==="complex64"){var Qe=Ge.texData.get(Fe.dataId),s=Ge.texData.get(Ee.dataId),u=[[Qe.complexTensorInfos.real,s.complexTensorInfos.real],[Qe.complexTensorInfos.imag,s.complexTensorInfos.imag]].map(function(je){var qe=je[0],vt=je[1],pt={dataId:qe.dataId,dtype:qe.dtype,shape:Fe.shape},ct={dataId:vt.dataId,dtype:vt.dtype,shape:Ee.shape},dt=new vn(p,Fe.shape,Ee.shape);return Ge.runWebGLProgram(dt,[pt,ct],i.upcastType(qe.dtype,vt.dtype))}),r=u[0],o=u[1],h=po({inputs:{real:r,imag:o},backend:Ge});return Ge.disposeIntermediateTensorInfo(r),Ge.disposeIntermediateTensorInfo(o),h}var b=L||i.upcastType(Fe.dtype,Ee.dtype);if(Ge.shouldExecuteOnCPU([Fe,Ee])&&P!=null){var Qe=Ge.texData.get(Fe.dataId),s=Ge.texData.get(Ee.dataId),T=P(Fe.shape,Ee.shape,Qe.values,s.values,b),O=T[0],q=T[1],Z=Ge.makeTensorInfo(q,b),le=Ge.texData.get(Z.dataId);return le.values=O,Z}var Ne=i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&l!=null,Be;return Ne?Be=new vi(l,Fe.shape,Ee.shape,g):Be=new vn(p,Fe.shape,Ee.shape),Ge.runWebGLProgram(Be,[Fe,Ee],b)}}var Mu="return a + b;",_l=fo({opSnippet:Mu,packedOpSnippet:Mu,supportsComplex:!0,cpuKernelImpl:tt}),zu={kernelName:i.Add,backendName:"webgl",kernelFunc:_l},Lu=Ic+`
  return atan(a, b);
`,pu=`
  vec4 result = atan(a, b);
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+Ou+`
  return result;
`,wl=fo({opSnippet:Lu,packedOpSnippet:pu}),du={kernelName:i.Atan2,backendName:"webgl",kernelFunc:wl};function fu(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x;ln(g,"avgPool");var I=m.filterSize,R=m.strides,P=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 Q=i.backend_util.computePool2DInfo(g.shape,I,R,G,P,L);if(Q.filterWidth===1&&Q.filterHeight===1&&i.util.arraysEqual(Q.inShape,Q.outShape))return ho({inputs:{x:g},backend:l});var ke=new Vt(Q,"avg",!1);return l.runWebGLProgram(ke,[g],"float32")}var Nc={kernelName:i.AvgPool,backendName:"webgl",kernelFunc:fu};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 P=m.filterSize,L=m.strides,G=m.pad,Q=i.backend_util.computePool2DInfo(R.shape,P,L,1,G),ke=new si(Q);return l.runWebGLProgram(ke,[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 P="0.0";g!=null&&(i.backend_util.assertAndGetBroadcastShape(p,g),this.variableNames.push("offset"),P="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 = `+P+`;
        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 P="vec4(0.0)";g!=null&&(i.backend_util.assertAndGetBroadcastShape(p,g),this.variableNames.push("offset"),P="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 = `+P+`;
        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,P=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(P==null||I.shape.length===P.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 Q=[g,I,R],ke=null;P!=null&&(ke=P.shape,Q.push(P));var Ce=null;L!=null&&(Ce=L.shape,Q.push(L));var Fe=i.env().getBool("WEBGL_PACK_NORMALIZATION")?new Ke(g.shape,I.shape,R.shape,ke,Ce,G):new Ec(g.shape,I.shape,R.shape,ke,Ce,G),Ee=l.runWebGLProgram(Fe,Q,Q[0].dtype);return Ee},sn={kernelName:i.FusedBatchNorm,backendName:"webgl",kernelFunc:Rc},Ac="return float(a != b);",Is=fo({opSnippet:Ac,dtype:"bool"}),Fc={kernelName:i.NotEqual,backendName:"webgl",kernelFunc:Is};function $n(f){var p=f.inputs,l=f.backend,m=p.input,g=l.texData.get(m.dataId);return ho({inputs:{x:g.complexTensorInfos.real},backend:l})}var Dc={kernelName:i.Real,backendName:"webgl",kernelFunc:$n},Oc="return float(int(x));";function Mc(f,p){var l=new Mr(f.shape,Oc),m=p.runWebGLProgram(l,[f],"int32");return{dataId:m.dataId,shape:m.shape,dtype:m.dtype}}function Gs(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 ho({inputs:{x:g},backend:l});var R=i.zeros(g.shape),P=Gs({inputs:{x:g},backend:l,attrs:{dtype:"float32"}}),L=po({inputs:{real:P,imag:R},backend:l});return R.dispose(),l.disposeIntermediateTensorInfo(P),L}if(g.dtype==="complex64"){var G=$n({inputs:{input:g},backend:l}),L=Gs({inputs:{x:G},backend:l,attrs:{dtype:I}});return l.disposeIntermediateTensorInfo(G),L}if(!i.util.hasEncodingLoss(g.dtype,I)){var L=ho({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 Q=l.makeTensorInfo([],"bool",i.util.getTypedArrayFromDType("bool",1)),ke={a:g,b:Q},L=Is({inputs:ke,backend:l});return l.disposeIntermediateTensorInfo(Q),L}throw new Error("Error in Cast: failed to cast "+g.dtype+" to "+I)}var ss={kernelName:i.Cast,backendName:"webgl",kernelFunc:Gs},zc=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,P=l[l.length-1];g.push("else setOutput(getT"+R+"(yR, yC-"+P+"));"),this.userCode=`
      void main() {
        ivec2 coords = getOutputCoords();
        int yR = coords.x;
        int yC = coords.y;

        `+g.join(`
        `)+`
      }
    `}return f}(),Lc=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),P=["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 Q=P[l],ke=P.slice(-2),Ce=P.join(),Fe="if ("+Q+" < "+L[0]+`) {
        return getChannel(
            getT0(`+Ce+"), vec2("+ke.join()+`));
        }`,G=1;G<L.length;G++){var Ee=L[G-1];Fe+=`
        if (`+Q+" < "+L[G]+"  && "+Q+" >= "+L[G-1]+`) {
          return getChannel(
            getT`+G+"("+mu(P,Q,Ee)+`),
            vec2(`+mu(ke,Q,Ee)+`));
        }`}var Ge=L.length,Qe=L[L.length-1];Fe+=`
        return getChannel(
          getT`+Ge+"("+mu(P,Q,Qe)+`),
          vec2(`+mu(ke,Q,Qe)+"));",this.userCode=`
      float getValue(`+P.map(function(s){return"int "+s})+`) {
        `+Fe+`
      }

      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 mu(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 ho({inputs:{x:g.complexTensorInfos.imag},backend:l})}var Pu={kernelName:i.Imag,backendName:"webgl",kernelFunc:Pc};function bl(f,p,l){var m=[Ga(f.shape)].concat(Sa(f.shape)),g={dtype:f.dtype,shape:m,dataId:f.dataId},I=[Ga(p)].concat(Sa(p)),R=new ir(I,m),P=!0,L=l.runWebGLProgram(R,[g],f.dtype,null,P);return{dataId:L.dataId,shape:p,dtype:L.dtype}}function Ji(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x,I=m.shape,R=l,P=i.util.sizeFromShape(g.shape),L=i.util.inferFromImplicitShape(I,P),G=i.util.sizeFromShape(L);i.util.assert(P===G,function(){return"The new shape ("+L+") has "+G+" elements and the old "+("shape ("+g.shape+") has "+P+" elements. The new shape and old ")+"shape must have the same number of elements."});var Q=R.texData.get(g.dataId);return Q.isPacked&&!xn(g.shape,L)&&!(Q.texture!==null&&xn(Q.shape,L))?bl(g,L,R):(R.incRef(g.dataId),{dataId:g.dataId,shape:L,dtype:g.dtype})}var Bu={kernelName:i.Reshape,backendName:"webgl",kernelFunc:Ji};function us(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=us(g,p,l),P=us(I,p,l),L=po({inputs:{real:R,imag:P},backend:l});return g.forEach(function(r){return l.disposeIntermediateTensorInfo(r)}),I.forEach(function(r){return l.disposeIntermediateTensorInfo(r)}),l.disposeIntermediateTensorInfo(R),l.disposeIntermediateTensorInfo(P),L}if(f.length>i.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var G=Math.floor(f.length/2),Q=us(f.slice(0,G),p,l),ke=us(f.slice(G),p,l),Ce=us([Q,ke],p,l);return l.disposeIntermediateTensorInfo(Q),l.disposeIntermediateTensorInfo(ke),Ce}if(i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&f[0].shape.length>1){var Fe=new Lc(f.map(function(r){return r.shape}),p);return l.runWebGLProgram(Fe,f,m)}var Ee=i.backend_util.computeOutShape(f.map(function(r){return r.shape}),p),Ge=f.map(function(r){return Ji({inputs:{x:r},attrs:{shape:[-1,i.util.sizeFromShape(r.shape.slice(p))]},backend:l})}),Qe=new zc(Ge.map(function(r){return r.shape})),s=l.runWebGLProgram(Qe,Ge,m);Ge.forEach(function(r){return l.disposeIntermediateTensorInfo(r)});var u=Ji({inputs:{x:s},attrs:{shape:Ee},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 P=p.filter(function(G){return i.util.sizeFromShape(G.shape)>0});if(P.length===1)return P[0];var L=P.map(function(G){return G.shape});return i.backend_util.assertParamsConsistent(L,I),us(P,I,l)}var Bc={kernelName:i.Concat,backendName:"webgl",kernelFunc:kl},yu=hu+`
  return cos(x);
`,Wc=Hs(yu),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=fo({opSnippet:Vc,packedOpSnippet:Hc,checkOutOfBounds:!0}),jc={kernelName:i.Div,backendName:"webgl",kernelFunc:Gc},Wu=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",P;if(p==="real")P="return real * expR - imag * expI;";else if(p==="imag")P="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) {
        `+P+`
      }

      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 Uu(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,P=Ji({inputs:{x:f},backend:l,attrs:{shape:[R,I]}}),L=P.shape,G=new Wu("real",L,p),Q=new Wu("imag",L,p),ke=[{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,ke,"float32"),Fe=l.runWebGLProgram(Q,ke,"float32"),Ee=po({inputs:{real:Ce,imag:Fe},backend:l});l.disposeIntermediateTensorInfo(Ce),l.disposeIntermediateTensorInfo(Fe);var Ge=Ji({inputs:{x:Ee},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 Uu(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}},Vu=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},cs;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,P=typeof HTMLImageElement!="undefined"&&g instanceof HTMLImageElement,L=R?[g.videoWidth,g.videoHeight]:[g.width,g.height],G=L[0],Q=L[1],ke=[Q,G],Ce=[Q,G,I];(P||R)&&(cs==null&&(cs=document.createElement("canvas").getContext("2d")),cs.canvas.width=G,cs.canvas.height=Q,cs.drawImage(g,0,0,G,Q),g=cs.canvas);var Fe=l.makeTensorInfo(ke,"int32");l.texData.get(Fe.dataId).usage=w.PIXELS,l.gpgpu.uploadPixelDataToTexture(l.getTexture(Fe.dataId),g);var Ee=i.env().getBool("WEBGL_PACK")?new Xc(Ce):new Vu(Ce),Ge=l.runWebGLProgram(Ee,[Fe],"int32");return l.disposeData(Fe.dataId),Ge}function Nl(f){var p=f.inputs,l=f.backend,m=p.input;return Uu(m,!0,l)}var Cl={kernelName:i.IFFT,backendName:"webgl",kernelFunc:Nl},Hu=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 P=Math.floor(m/4)*4,L=m%4,G="sumValue += dot(values, ones);";if(l!=null){var Q=1/l;G="sumValue += dot(values * "+(i.util.isInt(Q)?Q.toPrecision(2):Q)+", ones);"}var ke="";I%m>0&&(ke=`
        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) {
        `+ke+`
        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 < `+P+`; 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 + `+P+`;
        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 vu(f,p,l,m){for(var g=Tl(f.shape),I=f,R=0;R<g.length;R++){var P=g[R],L=P.inSize,G=P.windowSize,Q=P.outSize,ke=void 0,Ce=void 0;l==="mean"?ke=R===0?new Hu({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Q},L):new Hu({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Q}):ke=new lr({windowSize:G,inSize:L,batchSize:f.shape[0],outSize:Q},l),Ce=I,I=m.runWebGLProgram(ke,[I],p),Ce.dataId!==f.dataId&&m.disposeIntermediateTensorInfo(Ce)}return I}function Gu(f,p,l,m){var g=i.util.sizeFromShape(p),I=i.util.sizeFromShape(f.shape),R=I/g,P=Ji({inputs:{x:f},attrs:{shape:[R,g]},backend:m}),L=vu(P,f.dtype,"max",m),G=Ji({inputs:{x:L},attrs:{shape:l},backend:m});return m.disposeIntermediateTensorInfo(P),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),P=new Array(this.rank),g=0;g<l.length;g++)P[l[g]]=R[g];var L="vec2("+P.slice(-2).join()+")",G="++"+R[this.rank-1]+" < "+m[this.rank-1],Q="getChannel(getA("+P.join()+"), "+L+")";this.userCode=`
    void main() {
      `+I+` rc = getOutputCoords();
      vec4 result = vec4(0.);
      result[0] = `+Q+`;
      if(`+G+`) {
        result[1] = `+Q+`;
      }
      --`+R[this.rank-1]+`;
      if(++`+R[this.rank-2]+" < "+m[this.rank-2]+`) {
        result[2] = `+Q+`;
        if(`+G+`) {
          result[3] = `+Q+`;
        }
      }
      setOutput(result);
    }
    `}return f}();function js(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 ju={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,P=I.keepDims,L=m,G=g.shape.length,Q=i.util.parseAxisParam(R,g.shape),ke=Q,Ce=i.backend_util.getAxesPermutation(ke,G),Fe=Ce!=null,Ee=L.shouldExecuteOnCPU([g]),Ge=g;if(Fe){if(Ee){for(var Qe=L.texData.get(Ge.dataId),s=Qe.values,u=new Array(G),r=0;r<u.length;r++)u[r]=g.shape[Ce[r]];var o=qa(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=js(g,Ce,L);ke=i.backend_util.getInnerMostAxes(ke.length,G)}i.backend_util.assertAxesAreInnerMostDims("max",ke,G);var b=i.backend_util.computeOutAndReduceShapes(Ge.shape,ke),T=b[0],O=b[1],q=T;P&&(q=i.backend_util.expandShapeToKeepDim(T,Q));var Z;if(Ee){var Qe=L.texData.get(Ge.dataId),s=Qe.values,le=fr(s,i.util.sizeFromShape(O),q,g.dtype);Z=L.makeTensorInfo(q,g.dtype);var Ne=L.texData.get(Z.dataId);Ne.values=le}else Z=Gu(Ge,O,q,L);return Fe&&L.disposeIntermediateTensorInfo(Ge),Z}};function Fl(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x;ln(g,"maxPool");var I=m.filterSize,R=m.strides,P=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 Q=i.backend_util.computePool2DInfo(g.shape,I,R,G,P,L);if(Q.filterWidth===1&&Q.filterHeight===1&&i.util.arraysEqual(Q.inShape,Q.outShape))return ho({inputs:{x:g},backend:l});var ke=new Vt(Q,"max",!1);return l.runWebGLProgram(ke,[g],g.dtype)}var Dl={kernelName:i.MaxPool,backendName:"webgl",kernelFunc:Fl};function qu(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.dy,I=p.input,R=p.output,P=I;ln([I,R],"maxPoolBackprop");var L=m.filterSize,G=m.strides,Q=m.pad,ke=m.dimRoundingMode,Ce=i.backend_util.computePool2DInfo(P.shape,L,G,1,Q,ke),Fe=!0,Ee=new Vt(Ce,"max",Fe),Ge=l.runWebGLProgram(Ee,[P],P.dtype),Qe=new _t(Ce),s=l.runWebGLProgram(Qe,[g,Ge],P.dtype);return l.disposeIntermediateTensorInfo(Ge),s}var Ol={kernelName:i.MaxPoolBackprop,backendName:"webgl",kernelFunc:qu};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 Ku={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,P=I.strides,L=I.pad,G=I.includeBatchInIndex,Q=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 ke=[1,1];i.util.assert(i.backend_util.eitherStridesOrDilationsAreOne(P,ke),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+P+" and dilations '"+ke+"'")});var Ce=i.backend_util.computePool2DInfo(g.shape,R,P,ke,L),Fe=Ml(g,G,Ce,Q),Ee=Fe[0],Ge=Fe[1];return[Ee,Ge]}};function Ea(f,p,l,m){var g=i.util.sizeFromShape(p),I=i.util.sizeFromShape(f.shape),R=I/g,P=Ji({inputs:{x:f},attrs:{shape:[R,g]},backend:m}),L=vu(P,"float32","mean",m),G=Ji({inputs:{x:L},attrs:{shape:l},backend:m});return m.disposeIntermediateTensorInfo(P),m.disposeIntermediateTensorInfo(L),G}var zl={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,P=I.axis,L=m,G=g.shape.length,Q=i.util.parseAxisParam(P,g.shape),ke=Q,Ce=i.backend_util.getAxesPermutation(ke,G),Fe=Ce!=null,Ee=L.shouldExecuteOnCPU([g]),Ge=[],Qe=g;if(Fe){if(Ee){for(var s=L.texData.get(Qe.dataId),u=s.values,r=new Array(G),o=0;o<r.length;o++)r[o]=g.shape[Ce[o]];var h=qa(u,g.shape,g.dtype,Ce,r);Qe=L.makeTensorInfo(r,g.dtype);var b=L.texData.get(Qe.dataId);b.values=h}else Qe=js(g,Ce,L);Ge.push(Qe),ke=i.backend_util.getInnerMostAxes(ke.length,G)}i.backend_util.assertAxesAreInnerMostDims("sum",ke,G);var T=i.backend_util.computeOutAndReduceShapes(Qe.shape,ke),O=T[0],q=T[1],Z=O;R&&(Z=i.backend_util.expandShapeToKeepDim(O,Q));for(var le=Ea(Qe,q,Z,L),Ne=0,Be=Ge;Ne<Be.length;Ne++){var o=Be[Ne];L.disposeIntermediateTensorInfo(o)}return le}},Ll=function(){function f(p,l,m){this.variableNames=["x"],this.outputShape=l.map(function(Q,ke){return Q[0]+p[ke]+Q[1]});var g=p.length,I=nn(g),R=l.map(function(Q){return Q[0]}).join(","),P=l.map(function(Q,ke){return Q[0]+p[ke]}).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 = `+P+`;

        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+"("+P+`);

      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,Qe){return Ge[0]+p[Qe]+Ge[1]});var g=p.length,I=nn(g),R=l.map(function(Ge){return Ge[0]}).join(","),P=l.map(function(Ge,Qe){return Ge[0]+p[Qe]}).join(","),L=Vr("rc",g),G=Vr("source",g),Q=L[g-1]+" < "+this.outputShape[g-1],ke=g===1?"source":"vec2("+G.slice(-2).join()+")",Ce=m==="reflect"?0:1,Fe="";if(g===1){var Ee=`
        `+I+` source = rc;
        if (source < start) {
          source = start * 2 - source - `+Ce+`;
        } else if (source >= end) {
          source = (end - 1) * 2 - source + `+Ce+`;
        }
        source -= start;
      `;Fe=`
        `+I+` rc = outputLoc;
        `+Ee+`
        result[0] = getChannel(getX(`+G.join()+"), "+ke+`);
        `+L[g-1]+` += 1;
        if(`+Q+`) {
          `+Ee+`
          result[1] = getChannel(getX(`+G.join()+"), "+ke+`);
        }
      `}else{var Ee=`
        `+I+` source = rc;
        `+I+" lt = "+I+`(lessThan(source, start));
        `+I+" gte = "+I+`(greaterThanEqual(source, end));
        `+I+` orig = 1 - (lt + gte);
        source = orig * source +
                lt * (start * 2 - source - `+Ce+`) +
                gte * ((end - 1) * 2 - source + `+Ce+`);
        source -= start;
      `;Fe=`
        `+I+` rc = outputLoc;
        `+Ee+`
        result[0] = getChannel(getX(`+G.join()+"), "+ke+`);
        `+L[g-1]+` += 1;
        if(`+Q+`) {
          `+Ee+`
          result[1] = getChannel(getX(`+G.join()+"), "+ke+`);
        }
        rc = outputLoc;
        `+L[g-2]+` += 1;
        if(`+L[g-2]+" < "+this.outputShape[g-2]+`) {
          `+Ee+`
          result[2] = getChannel(getX(`+G.join()+"), "+ke+`);
          `+L[g-1]+` += 1;
          if(`+Q+`) {
            `+Ee+`
            result[3] = getChannel(getX(`+G.join()+"), "+ke+`);
          }
        }
      `}this.userCode=`
      const `+I+" start = "+I+"("+R+`);
      const `+I+" end = "+I+"("+P+`);

      void main() {
        `+I+` outputLoc = getOutputCoords();
        vec4 result = vec4(0.);
        `+Fe+`
        setOutput(result);
      }
    `}return f}(),Zc=function(f){var p=f.inputs,l=f.backend,m=f.attrs,g=p.x,I=m.paddings,R=m.mode,P=i.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Pl(g.shape,I,R):new Ll(g.shape,I,R),L=l.runWebGLProgram(P,[g],g.dtype);return L},la={kernelName:i.MirrorPad,backendName:"webgl",kernelFunc:Zc},Ua={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},gu=function(){function f(p,l,m){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=i.backend_util.assertAndGetBroadcastShape(l,m),this.userCode=`
      float binaryOpComplex(
          float areal, float aimag, float breal, float bimag) {
        `+p+`
      }

      void main() {
        float areal = getARealAtOutCoords();
        float aimag = getAImagAtOutCoords();
        float breal = getBRealAtOutCoords();
        float bimag = getBImagAtOutCoords();
        setOutput(binaryOpComplex(areal, aimag, breal, bimag));
      }
    `}return f}(),Qc="return a * b;";function Bl(f){var p=f.inputs,l=f.backend,m=p.a,g=p.b,I=i.backend_util.upcastType(m.dtype,g.dtype);if(m.dtype==="complex64"){var R=l.texData.get(m.dataId),P=l.texData.get(g.dataId),L=new gu(Ua.REAL,m.shape,g.shape),G=new gu(Ua.IMAG,m.shape,g.shape),Q=[{dataId:R.complexTensorInfos.real.dataId,dtype:R.complexTensorInfos.real.dtype,shape:m.shape},{dataId:R.complexTensorInfos.imag.dataId,dtype:R.complexTensorInfos.imag.dtype,shape:m.shape},{dataId:P.complexTensorInfos.real.dataId,dtype:P.complexTensorInfos.real.dtype,shape:g.shape},{dataId:P.complexTensorInfos.imag.dataId,dtype:P.complexTensorInfos.imag.dtype,shape:g.shape}],ke=l.runWebGLProgram(L,Q,"float32"),Ce=l.runWebGLProgram(G,Q,"float32"),Fe=po({inputs:{real:ke,imag:Ce},backend:l});return l.disposeIntermediateTensorInfo(ke),l.disposeIntermediateTensorInfo(Ce),Fe}if(l.shouldExecuteOnCPU([m,g])){var R=l.texData.get(m.dataId),P=l.texData.get(g.dataId),Ee=or(m.shape,g.shape,R.values,P.values,I),Ge=Ee[0],Qe=Ee[1],s=l.makeTensorInfo(Qe,I),u=l.texData.get(s.dataId);return u.values=Ge,s}var r;return i.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?r=new vi(Qc,m.shape,g.shape):r=new vn(Qc,m.shape,g.shape),l.runWebGLProgram(r,[m,g],I)}var Wl={kernelName:i.Multiply,backendName:"webgl",kernelFunc:Bl},Ul={kernelName:i.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.backend,m=f.attrs;i.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var g=p,I=g.boxes,R=g.scores,P=m,L=P.maxOutputSize,G=P.iouThreshold,Q=P.scoreThreshold,ke=l,Ce=ke.readSync(I.dataId),Fe=ke.readSync(R.dataId),Ee=L,Ge=G,Qe=Q;return i.kernel_impls.nonMaxSuppressionV3Impl(Ce,Fe,Ee,Ge,Qe)}},Vl=i.kernel_impls.nonMaxSuppressionV4Impl,Hl={kernelName:i.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.backend,m=f.attrs;i.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var g=p,I=g.boxes,R=g.scores,P=m,L=P.maxOutputSize,G=P.iouThreshold,Q=P.scoreThreshold,ke=P.padToMaxOutputSize,Ce=l,Fe=Ce.readSync(I.dataId),Ee=Ce.readSync(R.dataId),Ge=Vl(Fe,Ee,L,G,Q,ke),Qe=Ge.selectedIndices,s=Ge.validOutputs;return[Qe,s]}},Gl=i.kernel_impls.nonMaxSuppressionV5Impl,jl={kernelName:i.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.backend,m=f.attrs;i.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var g=p,I=g.boxes,R=g.scores,P=m,L=P.maxOutputSize,G=P.iouThreshold,Q=P.scoreThreshold,ke=P.softNmsSigma,Ce=l,Fe=Ce.readSync(I.dataId),Ee=Ce.readSync(R.dataId),Ge=L,Qe=G,s=Q,u=ke,r=Gl(Fe,Ee,Ge,Qe,s,u),o=r.selectedIndices,h=r.selectedScores;return[o,h]}},ql=function(){function f(p,l,m,g){this.variableNames=["Image"],this.outputShape=[];var I=p[1],R=p[2],P=Math.sin(l).toFixed(3),L=Math.cos(l).toFixed(3);this.outputShape=p;var G=i.backend_util.getImageCenter(g,I,R),Q=G[0],ke=G[1],Ce=Q.toFixed(3),Fe=ke.toFixed(3),Ee="";typeof m=="number"?Ee="float outputValue = "+m.toFixed(2)+";":Ee=`
        vec3 fill = vec3(`+m.join(",")+`);
        float outputValue = fill[coords[3]];`,this.userCode=`
        void main() {
          ivec4 coords = getOutputCoords();
          int x = coords[2];
          int y = coords[1];
          float coordXFloat = (float(x) - `+Ce+") * "+L+" - (float(y) - "+Fe+") * "+P+`;
          float coordYFloat = (float(x) - `+Ce+") * "+P+" + (float(y) - "+Fe+") * "+L+`;
          int coordX = int(round(coordXFloat + `+Ce+`));
          int coordY = int(round(coordYFloat + `+Fe+`));
          `+Ee+`
          if(coordX >= 0 && coordX < `+R+" && coordY >= 0 && coordY < "+I+`) {
            outputValue = getImage(coords[0], coordY, coordX, coords[3]);
          }
          setOutput(outputValue);
        }
    `}return f}(),Kl={kernelName:i.RotateWithOffset,backendName:"webgl",kernelFunc:function(f){var p=f.inputs,l=f.attrs,m=f.backend,g=p.image,I=l,R=I.radians,P=I.fillValue,L=I.center,G=m,Q=new ql(g.shape,R,P,L),ke=G.runWebGLProgram(Q,[g],g.dtype);return ke}},Xl=hu+`
  return sin(x);
`,Cr=Hs(Xl),Yl={kernelName:i.Sin,backendName:"webgl",kernelFunc:Cr},Xu="return x * x;",Zl=Hs(Xu),Wr={kernelName:i.Square,backendName:"webgl",kernelFunc:Zl},Jc="return (a - b) * (a - b);",bt=fo({opSnippet:Jc,packedOpSnippet:Jc}),Ql={kernelName:i.SquaredDifference,backendName:"webgl",kernelFunc:bt},ci="return a - b;",Jl=fo({opSnippet:ci,packedOpSnippet:ci,supportsComplex:!0,cpuKernelImpl:ia}),$c={kernelName:i.Sub,backendName:"webgl",kernelFunc:Jl},$l="return tan(x);",el=Hs($l),eh={kernelName:i.Tan,backendName:"webgl",kernelFunc:el},th={kernelName:i.Transpose,backendName:"webgl",kernelFunc:function(f){for(var p=f.inputs,l=f.attrs,m=f.backend,g=p.x,I=l.perm,R=m,P=g.shape.length,L=new Array(P),G=0;G<L.length;G++)L[G]=g.shape[I[G]];var Q;if(R.shouldExecuteOnCPU([g])){var ke=R.texData.get(g.dataId),Ce=ke.values,Fe=qa(Ce,g.shape,g.dtype,I,L);Q=R.makeTensorInfo(L,g.dtype);var Ee=R.texData.get(Q.dataId);Ee.values=Fe}else Q=js(g,I,R);return Q}};function Yu(f){var p=f.inputs,l=f.attrs,m=f.backend,g=l.axis,I=p.x;ln(I,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var R=m.readSync(I.dataId),P=bi(R,g,I.shape,I.dtype),L=P.outputValues,G=P.outputShape,Q=P.indices;return[m.makeTensorInfo(G,I.dtype,L),m.makeTensorInfo([Q.length],"int32",Q)]}for(var tl={kernelName:i.Unique,backendName:"webgl",kernelFunc:Yu},rl=[zu,du,Nc,Tc,sn,ss,Sc,Bc,Uc,jc,Kc,Il,Yc,kc,Cl,Pu,ju,Dl,Ol,Ku,zl,la,Wl,Ul,Hl,jl,Fc,Dc,Bu,Kl,Yl,Wr,$c,Ql,eh,th,tl],li=0,nl=rl;li<nl.length;li++){var $i=nl[li];i.registerKernel($i)}N.GPGPUContext=Oe,N.MathBackendWebGL=Go,N.forceHalfFloat=Vs,N.gpgpu_util=Ae,N.setWebGLContext=Te,N.version_webgl=Du,N.webgl=bc,N.webgl_util=ai}),Vi=Or(N=>{"use strict";Object.defineProperty(N,"__esModule",{value:!0});var i=ml(),we=ag(),M=ig(),V=sg(),oe=yg(),de=vg(),X="2.7.0",Te={"tfjs-core":i.version_core,"tfjs-backend-cpu":oe.version_cpu,"tfjs-backend-webgl":de.version_webgl,"tfjs-data":V.version_data,"tfjs-layers":we.version_layers,"tfjs-converter":M.version_converter,tfjs:X};Object.keys(i).forEach(function(z){z!=="default"&&Object.defineProperty(N,z,{enumerable:!0,get:function(){return i[z]}})}),Object.keys(we).forEach(function(z){z!=="default"&&Object.defineProperty(N,z,{enumerable:!0,get:function(){return we[z]}})}),Object.keys(M).forEach(function(z){z!=="default"&&Object.defineProperty(N,z,{enumerable:!0,get:function(){return M[z]}})}),N.data=V,N.version=Te}),gg=Or(N=>{const i=Vi(),we=6;function M(ye){const ee={strides:[ye/16,ye/8],anchors:[2,6]},w=[];for(let xe=0;xe<ee.strides.length;xe++){const We=ee.strides[xe],W=Math.floor((ye+We-1)/We),st=Math.floor((ye+We-1)/We),ut=ee.anchors[xe];for(let Kt=0;Kt<W;Kt++){const It=We*(Kt+.5);for(let Ze=0;Ze<st;Ze++){const mt=We*(Ze+.5);for(let yt=0;yt<ut;yt++)w.push([mt,It])}}}return w}const V=ye=>{ye.startEndTensor.dispose(),ye.startPoint.dispose(),ye.endPoint.dispose()},oe=ye=>({startEndTensor:ye,startPoint:i.slice(ye,[0,0],[-1,2]),endPoint:i.slice(ye,[0,2],[-1,2])}),de=(ye,ee)=>{const w=i.mul(ye.startPoint,ee),xe=i.mul(ye.endPoint,ee),We=i.concat2d([w,xe],1);return oe(We)};function X(ye,ee,w){const xe=i.slice(ye,[0,1],[-1,2]),We=i.add(xe,ee),W=i.slice(ye,[0,3],[-1,2]),st=i.div(W,w),ut=i.div(We,w),Kt=i.div(st,2),It=i.sub(ut,Kt),Ze=i.add(ut,Kt),mt=i.mul(It,w),yt=i.mul(Ze,w),$e=1;return i.concat2d([mt,yt],$e)}function Te(ye,ee){return i.tidy(()=>{const w=ye.box?ye.box:ye;return de(w,ee).startEndTensor.squeeze()})}class z{constructor(ye,ee){this.blazeFaceModel=ye,this.width=ee.detector.inputSize,this.height=ee.detector.inputSize,this.anchorsData=M(ee.detector.inputSize),this.anchors=i.tensor2d(this.anchorsData),this.inputSize=i.tensor1d([this.width,this.height]),this.config=ee,this.scaleFaces=.8}async getBoundingBoxes(ye){if(!ye||ye.isDisposedInternal||ye.shape.length!==4||ye.shape[1]<1||ye.shape[2]<1)return null;const[ee,w,xe]=i.tidy(()=>{const It=ye.resizeBilinear([this.width,this.height]),Ze=i.sub(It.div(127.5),1),mt=this.blazeFaceModel.predict(Ze);let yt;if(Array.isArray(mt)){const et=mt.sort((jr,Pr)=>jr.size-Pr.size),Qt=i.concat([et[0],et[2]],2),rr=i.concat([et[1],et[3]],2),jt=i.concat([rr,Qt],1);yt=jt.squeeze(0)}else yt=mt.squeeze();const $e=X(yt,this.anchors,this.inputSize),ot=i.slice(yt,[0,0],[-1,1]),nt=ot.squeeze();return[yt,$e,nt]}),We=await i.image.nonMaxSuppressionAsync(w,xe,this.config.detector.maxFaces,this.config.detector.iouThreshold,this.config.detector.scoreThreshold),W=We.arraySync();We.dispose();const st=W.map(It=>i.slice(w,[It,0],[1,-1])),ut=st.map(It=>{const Ze=It.arraySync();return It.dispose(),Ze}),Kt=[];for(let It=0;It<ut.length;It++){const Ze=ut[It],mt=oe(Ze),yt=W[It],$e=this.anchorsData[yt],ot=i.slice(ee,[yt,we-1],[1,-1]),nt=ot.squeeze(),et=nt.reshape([we,-1]),Qt=i.slice(xe,[yt],[1]),rr={box:mt,landmarks:et,probability:Qt,anchor:$e};Kt.push(rr),ot.dispose(),nt.dispose()}return ee.dispose(),w.dispose(),xe.dispose(),ee.dispose(),{boxes:Kt,scaleFactor:[ye.shape[2]/this.width,ye.shape[1]/this.height]}}async estimateFaces(ye){const{boxes:ee,scaleFactor:w}=await this.getBoundingBoxes(ye),xe=[];for(const We of ee){const W=We.landmarks.arraySync(),st=Te(We,w),ut=de.arraySync(),Kt=We.probability.arraySync(),It=We.anchor,[Ze,mt]=w,yt=W.map(ot=>[(ot[0]+It[0])*Ze,(ot[1]+It[1])*mt]),$e={topLeft:ut.slice(0,2),bottomRight:ut.slice(2),landmarks:yt,probability:Kt};V(We.box),We.landmarks.dispose(),We.probability.dispose(),st.dispose(),xe.push($e)}return xe}}async function he(ye){const ee=await i.loadGraphModel(ye.detector.modelPath,{fromTFHub:ye.detector.modelPath.includes("tfhub.dev")}),w=new z(ee,ye);return console.log(`Human: load model: ${ye.detector.modelPath.match(/\/(.*)\./)[1]}`),w}N.load=he,N.BlazeFaceModel=z,N.disposeBox=V}),mf=Or(N=>{N.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]},N.MESH_TO_IRIS_INDICES_MAP=[{key:"EyeUpper0",indices:[9,10,11,12,13,14,15]},{key:"EyeUpper1",indices:[25,26,27,28,29,30,31]},{key:"EyeUpper2",indices:[41,42,43,44,45,46,47]},{key:"EyeLower0",indices:[0,1,2,3,4,5,6,7,8]},{key:"EyeLower1",indices:[16,17,18,19,20,21,22,23,24]},{key:"EyeLower2",indices:[32,33,34,35,36,37,38,39,40]},{key:"EyeLower3",indices:[54,55,56,57,58,59,60,61,62]},{key:"EyebrowUpper",indices:[63,64,65,66,67,68,69,70]},{key:"EyebrowLower",indices:[48,49,50,51,52,53]}]}),xg=Or(N=>{const i=Vi();function we(Te,z){const he=[Te.startPoint[0]*z[0],Te.startPoint[1]*z[1]],ye=[Te.endPoint[0]*z[0],Te.endPoint[1]*z[1]];return{startPoint:he,endPoint:ye}}N.scaleBoxCoordinates=we;function M(Te){return[Math.abs(Te.endPoint[0]-Te.startPoint[0]),Math.abs(Te.endPoint[1]-Te.startPoint[1])]}N.getBoxSize=M;function V(Te){return[Te.startPoint[0]+(Te.endPoint[0]-Te.startPoint[0])/2,Te.startPoint[1]+(Te.endPoint[1]-Te.startPoint[1])/2]}N.getBoxCenter=V;function oe(Te,z,he){const ye=z.shape[1],ee=z.shape[2],w=[[Te.startPoint[1]/ye,Te.startPoint[0]/ee,Te.endPoint[1]/ye,Te.endPoint[0]/ee]];return i.image.cropAndResize(z,w,[0],he)}N.cutBoxFromImageAndResize=oe;function de(Te,z=1.5){const he=V(Te),ye=M(Te),ee=[z*ye[0]/2,z*ye[1]/2],w=[he[0]-ee[0],he[1]-ee[1]],xe=[he[0]+ee[0],he[1]+ee[1]];return{startPoint:w,endPoint:xe,landmarks:Te.landmarks}}N.enlargeBox=de;function X(Te){const z=V(Te),he=M(Te),ye=Math.max(...he),ee=ye/2,w=[z[0]-ee,z[1]-ee],xe=[z[0]+ee,z[1]+ee];return{startPoint:w,endPoint:xe,landmarks:Te.landmarks}}N.squarifyBox=X}),_g=Or(N=>{N.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function i(ee){return ee-2*Math.PI*Math.floor((ee+Math.PI)/(2*Math.PI))}N.normalizeRadians=i;function we(ee,w){const xe=Math.PI/2-Math.atan2(-(w[1]-ee[1]),w[0]-ee[0]);return i(xe)}N.computeRotation=we;function M(ee){return ee*180/Math.PI}N.radToDegrees=M;function V(ee,w){return[[1,0,ee],[0,1,w],[0,0,1]]}function oe(ee,w){let xe=0;for(let We=0;We<ee.length;We++)xe+=ee[We]*w[We];return xe}N.dot=oe;function de(ee,w){const xe=[];for(let We=0;We<ee.length;We++)xe.push(ee[We][w]);return xe}N.getColumnFrom2DArr=de;function X(ee,w){const xe=[],We=ee.length;for(let W=0;W<We;W++){xe.push([]);for(let st=0;st<We;st++)xe[W].push(oe(ee[W],de(w,st)))}return xe}function Te(ee,w){const xe=Math.cos(ee),We=Math.sin(ee),W=[[xe,-We,0],[We,xe,0],[0,0,1]],st=V(w[0],w[1]),ut=X(st,W),Kt=V(-w[0],-w[1]);return X(ut,Kt)}N.buildRotationMatrix=Te;function z(ee){const w=[[ee[0][0],ee[1][0]],[ee[0][1],ee[1][1]]],xe=[ee[0][2],ee[1][2]],We=[-oe(w[0],xe),-oe(w[1],xe)];return[w[0].concat(We[0]),w[1].concat(We[1]),[0,0,1]]}N.invertTransformMatrix=z;function he(ee,w){return[oe(ee,w[0]),oe(ee,w[1])]}N.rotatePoint=he;function ye(ee,w){return Math.sqrt((ee[0]-w[0])**2+(ee[1]-w[1])**2)}N.xyDistanceBetweenPoints=ye}),wg=Or(N=>{const i=Vi(),we=xg(),M=mf(),V=_g(),oe=468,de=.25,X=13,Te=[X,M.MESH_ANNOTATIONS.midwayBetweenEyes[0]],z=3,he=2,ye=[z,he],ee=M.MESH_ANNOTATIONS.leftEyeLower0,w=[ee[0],ee[ee.length-1]],xe=M.MESH_ANNOTATIONS.rightEyeLower0,We=[xe[0],xe[xe.length-1]],W=3,st=4,ut=71,Kt=76;function It(mt,yt,$e,ot){for(let nt=0;nt<M.MESH_TO_IRIS_INDICES_MAP.length;nt++){const{key:et,indices:Qt}=M.MESH_TO_IRIS_INDICES_MAP[nt],rr=M.MESH_ANNOTATIONS[`${$e}${et}`],jt=ot==null;if(jt||ot.includes(et))for(let jr=0;jr<Qt.length;jr++){const Pr=Qt[jr];mt[rr[jr]]=[yt[Pr][0],yt[Pr][1],(yt[Pr][2]+mt[rr[jr]][2])/2]}}}class Ze{constructor(mt,yt,$e,ot){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=mt,this.meshDetector=yt,this.irisModel=$e,this.meshWidth=ot.mesh.inputSize,this.meshHeight=ot.mesh.inputSize,this.irisSize=ot.iris.inputSize,this.irisEnlarge=ot.iris.enlargeFactor}transformRawCoords(mt,yt,$e,ot){const nt=we.getBoxSize({startPoint:yt.startPoint,endPoint:yt.endPoint}),et=[nt[0]/this.meshWidth,nt[1]/this.meshHeight],Qt=mt.map(ar=>[et[0]*(ar[0]-this.meshWidth/2),et[1]*(ar[1]-this.meshHeight/2),ar[2]]),rr=V.buildRotationMatrix($e,[0,0]),jt=Qt.map(ar=>[...V.rotatePoint(ar,rr),ar[2]]),jr=V.invertTransformMatrix(ot),Pr=[...we.getBoxCenter({startPoint:yt.startPoint,endPoint:yt.endPoint}),1],_r=[V.dot(Pr,jr[0]),V.dot(Pr,jr[1])];return jt.map(ar=>[ar[0]+_r[0],ar[1]+_r[1],ar[2]])}getLeftToRightEyeDepthDifference(mt){const yt=mt[w[0]][2],$e=mt[We[0]][2];return yt-$e}getEyeBox(mt,yt,$e,ot,nt=!1){const et=we.squarifyBox(we.enlargeBox(this.calculateLandmarksBoundingBox([mt[$e],mt[ot]]),this.irisEnlarge)),Qt=we.getBoxSize(et);let rr=i.image.cropAndResize(yt,[[et.startPoint[1]/this.meshHeight,et.startPoint[0]/this.meshWidth,et.endPoint[1]/this.meshHeight,et.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return nt&&(rr=i.image.flipLeftRight(rr)),{box:et,boxSize:Qt,crop:rr}}getEyeCoords(mt,yt,$e,ot=!1){const nt=[];for(let et=0;et<Kt;et++){const Qt=mt[et*3],rr=mt[et*3+1],jt=mt[et*3+2];nt.push([(ot?1-Qt/this.irisSize:Qt/this.irisSize)*$e[0]+yt.startPoint[0],rr/this.irisSize*$e[1]+yt.startPoint[1],jt])}return{rawCoords:nt,iris:nt.slice(ut)}}getAdjustedIrisCoords(mt,yt,$e){const ot=mt[M.MESH_ANNOTATIONS[`${$e}EyeUpper0`][W]][2],nt=mt[M.MESH_ANNOTATIONS[`${$e}EyeLower0`][st]][2],et=(ot+nt)/2;return yt.map((Qt,rr)=>{let jt=et;return rr===2?jt=ot:rr===4&&(jt=nt),[Qt[0],Qt[1],jt]})}async predict(mt,yt){this.runsWithoutFaceDetector+=1;let $e=this.detectedFaces===0||this.detectedFaces!==this.regionsOfInterest.length,ot;if(($e||this.runsWithoutFaceDetector>yt.detector.skipFrames)&&(ot=await this.boundingBoxDetector.getBoundingBoxes(mt)),yt.detector.maxFaces>1&&ot&&ot.boxes&&ot.boxes.length>0&&ot.boxes.length!==this.detectedFaces&&($e=!0),$e){if(!ot||!ot.boxes||ot.boxes.length===0)return this.regionsOfInterest=[],this.detectedFaces=0,null;const et=ot.boxes.map(Qt=>{const rr=Qt.box.startPoint.squeeze(),jt=Qt.box.endPoint.squeeze(),jr={startPoint:rr.arraySync(),endPoint:jt.arraySync()};rr.dispose(),jt.dispose();const Pr=we.scaleBoxCoordinates(jr,ot.scaleFactor),_r=we.enlargeBox(Pr),ar=Qt.landmarks.arraySync();return{..._r,landmarks:ar}});this.updateRegionsOfInterest(et),this.runsWithoutFaceDetector=0}ot&&ot.boxes&&ot.boxes.forEach(et=>{et.box.startPoint.dispose(),et.box.endPoint.dispose(),et.landmarks.dispose(),et.probability.dispose()});let nt=i.tidy(()=>this.regionsOfInterest.map((et,Qt)=>{let rr=0;const jt=et.landmarks.length>=oe;let[jr,Pr]=Te;jt===!1&&([jr,Pr]=ye),rr=V.computeRotation(et.landmarks[jr],et.landmarks[Pr]);const _r=we.getBoxCenter({startPoint:et.startPoint,endPoint:et.endPoint}),ar=[_r[0]/mt.shape[2],_r[1]/mt.shape[1]];let da=mt,Ha=V.IDENTITY_MATRIX;rr!==0&&(da=i.image.rotateWithOffset(mt,rr,0,ar),Ha=V.buildRotationMatrix(-rr,_r));const Tn={startPoint:et.startPoint,endPoint:et.endPoint},ba=we.cutBoxFromImageAndResize(Tn,da,[this.meshHeight,this.meshWidth]).div(255),[,ka,ta]=this.meshDetector.predict(ba),Ma=ka.dataSync()[0];if(ka.dispose(),Ma<yt.detector.minConfidence)return ta.dispose(),null;const Ti=i.reshape(ta,[-1,3]);let Bn=Ti.arraySync();if(yt.iris.enabled){const{box:fn,boxSize:Gn,crop:_i}=this.getEyeBox(Bn,ba,w[0],w[1],!0),{box:fa,boxSize:Hi,crop:Yn}=this.getEyeBox(Bn,ba,We[0],We[1]),Wn=this.irisModel.predict(i.concat([_i,Yn])),Ga=Wn.dataSync();Wn.dispose();const Sa=Ga.slice(0,Kt*3),{rawCoords:hi,iris:La}=this.getEyeCoords(Sa,fn,Gn,!0),on=Ga.slice(Kt*3),{rawCoords:xn,iris:Ia}=this.getEyeCoords(on,fa,Hi),Rr=this.getLeftToRightEyeDepthDifference(Bn);Math.abs(Rr)<30?(It(Bn,hi,"left"),It(Bn,xn,"right")):Rr<1?It(Bn,hi,"left",["EyeUpper0","EyeLower0"]):It(Bn,xn,"right",["EyeUpper0","EyeLower0"]);const Pa=this.getAdjustedIrisCoords(Bn,La,"left"),na=this.getAdjustedIrisCoords(Bn,Ia,"right");Bn=Bn.concat(Pa).concat(na)}const ra=this.transformRawCoords(Bn,et,rr,Ha);i.dispose(Bn);const cn=we.enlargeBox(this.calculateLandmarksBoundingBox(ra)),za={coords:null,box:cn,confidence:Ma,image:ba};if(yt.mesh.enabled){const fn=i.tensor2d(ra);this.regionsOfInterest[Qt]={...cn,landmarks:fn.arraySync()},za.coords=fn}return za}));return nt=nt.filter(et=>et!==null),this.detectedFaces=nt.length,nt}updateRegionsOfInterest(mt){for(let yt=0;yt<mt.length;yt++){const $e=mt[yt],ot=this.regionsOfInterest[yt];let 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i.image.nonMaxSuppressionAsync(he,Te,oe.maxHands,oe.iouThreshold,oe.scoreThreshold),ee=ye.arraySync(),w=[de,ye,X,he,z,Te];if(ee.length===0)return w.forEach(We=>We.dispose()),null;const xe=[];for(const We of ee){const W=i.slice(he,[We,0],[1,-1]),st=i.slice(X,[We,5],[1,14]),ut=i.tidy(()=>this.normalizeLandmarks(st,We).reshape([-1,2]));st.dispose(),xe.push({boxes:W,palmLandmarks:ut})}return w.forEach(We=>We.dispose()),xe}async estimateHandBounds(V,oe){const de=V.shape[1],X=V.shape[2],Te=i.tidy(()=>V.resizeBilinear([oe.inputSize,oe.inputSize]).div(127.5).sub(1)),z=await this.getBoundingBoxes(Te,oe);if(Te.dispose(),!z||z.length===0)return null;const he=[];for(const ye of z){const ee=ye.boxes.dataSync(),w=ee.slice(0,2),xe=ee.slice(2,4),We=ye.palmLandmarks.arraySync();ye.boxes.dispose(),ye.palmLandmarks.dispose(),he.push(we.scaleBoxCoordinates({startPoint:w,endPoint:xe,palmLandmarks:We},[X/oe.inputSize,de/oe.inputSize]))}return he}}N.HandDetector=M}),Mg=Or(N=>{Zh(N,{buildRotationMatrix:()=>X,computeRotation:()=>we,dot:()=>V,getColumnFrom2DArr:()=>oe,invertTransformMatrix:()=>Te,normalizeRadians:()=>i,rotatePoint:()=>z});function i(he){return he-2*Math.PI*Math.floor((he+Math.PI)/(2*Math.PI))}function we(he,ye){const ee=Math.PI/2-Math.atan2(-(ye[1]-he[1]),ye[0]-he[0]);return i(ee)}const M=(he,ye)=>[[1,0,he],[0,1,ye],[0,0,1]];function V(he,ye){let ee=0;for(let w=0;w<he.length;w++)ee+=he[w]*ye[w];return ee}function oe(he,ye){const ee=[];for(let w=0;w<he.length;w++)ee.push(he[w][ye]);return ee}function de(he,ye){const ee=[],w=he.length;for(let xe=0;xe<w;xe++){ee.push([]);for(let We=0;We<w;We++)ee[xe].push(V(he[xe],oe(ye,We)))}return ee}function X(he,ye){const ee=Math.cos(he),w=Math.sin(he),xe=[[ee,-w,0],[w,ee,0],[0,0,1]],We=M(ye[0],ye[1]),W=de(We,xe),st=M(-ye[0],-ye[1]);return de(W,st)}function Te(he){const ye=[[he[0][0],he[1][0]],[he[0][1],he[1][1]]],ee=[he[0][2],he[1][2]],w=[-V(ye[0],ee),-V(ye[1],ee)];return[ye[0].concat(w[0]),ye[1].concat(w[1]),[0,0,1]]}function z(he,ye){return[V(he,ye[0]),V(he,ye[1])]}}),zg=Or(N=>{const i=Vi(),we=_f(),M=Mg(),V=.8,oe=[0,-.4],de=3,X=[0,-.1],Te=1.65,z=[0,5,9,13,17,1,2],he=0,ye=2;class ee{constructor(w,xe,We){this.boundingBoxDetector=w,this.meshDetector=xe,this.inputSize=We,this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.skipFrames=0,this.detectedHands=0}getBoxForPalmLandmarks(w,xe){const We=w.map(st=>{const ut=[...st,1];return M.rotatePoint(ut,xe)}),W=this.calculateLandmarksBoundingBox(We);return we.enlargeBox(we.squarifyBox(we.shiftBox(W,oe)),de)}getBoxForHandLandmarks(w){const xe=this.calculateLandmarksBoundingBox(w),We=we.enlargeBox(we.squarifyBox(we.shiftBox(xe,X)),Te),W=[];for(let st=0;st<z.length;st++)W.push(w[z[st]].slice(0,2));return We.palmLandmarks=W,We}transformRawCoords(w,xe,We,W){const st=we.getBoxSize(xe),ut=[st[0]/this.inputSize,st[1]/this.inputSize],Kt=w.map(ot=>[ut[0]*(ot[0]-this.inputSize/2),ut[1]*(ot[1]-this.inputSize/2),ot[2]]),It=M.buildRotationMatrix(We,[0,0]),Ze=Kt.map(ot=>{const nt=M.rotatePoint(ot,It);return[...nt,ot[2]]}),mt=M.invertTransformMatrix(W),yt=[...we.getBoxCenter(xe),1],$e=[M.dot(yt,mt[0]),M.dot(yt,mt[1])];return Ze.map(ot=>[ot[0]+$e[0],ot[1]+$e[1],ot[2]])}async estimateHands(w,xe){this.skipFrames=xe.skipFrames;let We=this.runsWithoutHandDetector>this.skipFrames||this.detectedHands!==this.regionsOfInterest.length,W;if(We&&(W=await this.boundingBoxDetector.estimateHandBounds(w,xe)),xe.maxHands>1&&W&&W.length>0&&W.length!==this.detectedHands&&(We=!0),We){if(this.regionsOfInterest=[],!W||W.length===0)return this.detectedHands=0,null;for(const ut of W)this.regionsOfInterest.push(ut);this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const st=[];for(const ut in this.regionsOfInterest){const Kt=this.regionsOfInterest[ut];if(!Kt)continue;const It=M.computeRotation(Kt.palmLandmarks[he],Kt.palmLandmarks[ye]),Ze=we.getBoxCenter(Kt),mt=[Ze[0]/w.shape[2],Ze[1]/w.shape[1]],yt=i.image.rotateWithOffset(w,It,0,mt),$e=M.buildRotationMatrix(-It,Ze),ot=We?this.getBoxForPalmLandmarks(Kt.palmLandmarks,$e):Kt,nt=we.cutBoxFromImageAndResize(ot,yt,[this.inputSize,this.inputSize]),et=nt.div(255);nt.dispose(),yt.dispose();const Qt=this.meshDetector.predict(et),[rr,jt]=Qt;et.dispose();const jr=rr.dataSync()[0];if(rr.dispose(),jr>=xe.minConfidence){const Pr=i.reshape(jt,[-1,3]),_r=Pr.arraySync();jt.dispose(),Pr.dispose();const ar=this.transformRawCoords(_r,ot,It,$e),da=this.getBoxForHandLandmarks(ar);this.updateRegionsOfInterest(da,ut);const Ha={landmarks:ar,handInViewConfidence:jr,boundingBox:{topLeft:da.startPoint,bottomRight:da.endPoint}};st.push(Ha)}else this.updateRegionsOfInterest(null,ut);jt.dispose()}return this.regionsOfInterest=this.regionsOfInterest.filter(ut=>ut!==null),this.detectedHands=st.length,st}calculateLandmarksBoundingBox(w){const xe=w.map(ut=>ut[0]),We=w.map(ut=>ut[1]),W=[Math.min(...xe),Math.min(...We)],st=[Math.max(...xe),Math.max(...We)];return{startPoint:W,endPoint:st}}updateRegionsOfInterest(w,xe){const We=this.regionsOfInterest[xe];let 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we.HandDetector(z,Te.inputSize,V.anchors),ee=new M.HandPipeline(ye,he,Te.inputSize),w=new de(ee);return console.log(`Human: load model: ${Te.detector.modelPath.match(/\/(.*)\./)[1]}`),console.log(`Human: load model: ${Te.skeleton.modelPath.match(/\/(.*)\./)[1]}`),w}N.load=X}),Bg=Or(N=>{N.body=i=>{if(!i)return[];const we=[];for(const M of i){const V=M.keypoints.find(z=>z.part==="leftWrist"),oe=M.keypoints.find(z=>z.part==="rightWrist"),de=M.keypoints.find(z=>z.part==="nose");de&&V&&oe&&V.position.y<de.position.y&&oe.position.y<de.position.y?we.push("i give up"):de&&V&&V.position.y<de.position.y?we.push("raise left hand"):de&&oe&&oe.position.y<de.position.y&&we.push("raise right hand");const X=M.keypoints.find(z=>z.part==="leftShoulder"),Te=M.keypoints.find(z=>z.part==="rightShoulder");X&&Te&&we.push(`leaning ${X.position.y>Te.position.y?"left":"right"}`)}return we},N.face=i=>{if(!i)return[];const we=[];for(const M of i)M.annotations.rightCheek&&M.annotations.leftCheek&&M.annotations.rightCheek.length>0&&M.annotations.leftCheek.length>0&&we.push(`facing ${M.annotations.rightCheek[0][2]>0||M.annotations.leftCheek[0][2]<0?"right":"left"}`);return we},N.hand=i=>{if(!i)return[];const we=[];for(const M of i){const V=[];for(const[oe,de]of Object.entries(M.annotations))oe!=="palmBase"&&V.push({name:oe.toLowerCase(),position:de[0]});if(V&&V.length>0){const oe=V.reduce((X,Te)=>X.position[2]<Te.position[2]?X:Te),de=V.reduce((X,Te)=>X.position[1]<Te.position[1]?X:Te);we.push(`${oe.name} forward ${de.name} up`)}}return we}}),Wg=Or(N=>{const i=function(M,V,oe){const de=function(he,ye,ee){const w=new RegExp("\\b"+ye+" \\w+ (\\w+)","ig");he.replace(w,(xe,We)=>(ee[We]=0,xe))},X=function(he,ye){const ee=M.createShader(ye);if(M.shaderSource(ee,he),M.compileShader(ee),!M.getShaderParameter(ee,M.COMPILE_STATUS))throw new Error("Filter: GL compile failed",M.getShaderInfoLog(ee));return 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--unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src/*.js demo/*.js",dev:"npm install && node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation dev-server.js","build-iife":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --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=es2018 --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=es2018 --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=es2018 --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=es2018 --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --log-level=error --platform=browser --sourcemap --target=es2018 --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 ro=Vi(),Wp=Sg(),vh=Ig(),gh=Ng(),xh=Cg(),Up=Dg(),Vp=Pg(),Hp=Bg(),Gg=Ug(),jg=Qh(),qg=Vg().default,Kg=Hg(),Xg={face:{detector:{skipFrames:0},age:{skipFrames:0},gender:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},wa=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function $h(...N){const i=we=>we&&typeof we=="object";return N.reduce((we,M)=>(Object.keys(M||{}).forEach(V=>{const oe=we[V],de=M[V];Array.isArray(oe)&&Array.isArray(de)?we[V]=oe.concat(...de):i(oe)&&i(de)?we[V]=$h(oe,de):we[V]=de}),we),{})}class 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i=wa();N&&(this.config=$h(this.config,N)),this.firstRun&&(this.checkBackend(!0),this.log(`version: ${this.version} TensorFlow/JS version: ${ro.version_core}`),this.log("configuration:",this.config),this.log("flags:",ro.ENV.flags),this.firstRun=!1),this.config.async?[this.models.age,this.models.gender,this.models.emotion,this.models.facemesh,this.models.posenet,this.models.handpose]=await Promise.all([this.models.age||vh.load(this.config),this.models.gender||gh.load(this.config),this.models.emotion||xh.load(this.config),this.models.facemesh||Wp.load(this.config.face),this.models.posenet||Up.load(this.config.body),this.models.handpose||Vp.load(this.config.hand)]):(this.config.face.enabled&&!this.models.facemesh&&(this.models.facemesh=await Wp.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await Up.load(this.config.body)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await 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we=Math.trunc(wa()-i);we>(this.perf.backend||0)&&(this.perf.backend=we)}async detectFace(N){let i,we,M,V;const oe=[];this.state="run:face",i=wa();const de=await this.models.facemesh.estimateFaces(N,this.config.face);this.perf.face=Math.trunc(wa()-i);for(const X of de){if(this.analyze("Get Face"),!X.image||X.image.isDisposedInternal){this.log("Face object is disposed:",X.image);continue}this.analyze("Start Age:"),this.config.async?we=this.config.face.age.enabled?vh.predict(X.image,this.config):{}:(this.state="run:age",i=wa(),we=this.config.face.age.enabled?await vh.predict(X.image,this.config):{},this.perf.age=Math.trunc(wa()-i)),this.analyze("Start Gender:"),this.config.async?M=this.config.face.gender.enabled?gh.predict(X.image,this.config):{}:(this.state="run:gender",i=wa(),M=this.config.face.gender.enabled?await gh.predict(X.image,this.config):{},this.perf.gender=Math.trunc(wa()-i)),this.analyze("Start Emotion:"),this.config.async?V=this.config.face.emotion.enabled?xh.predict(X.image,this.config):{}:(this.state="run:emotion",i=wa(),V=this.config.face.emotion.enabled?await xh.predict(X.image,this.config):{},this.perf.emotion=Math.trunc(wa()-i)),this.analyze("End Emotion:"),this.config.async&&([we,M,V]=await Promise.all([we,M,V])),this.analyze("Finish Face:"),X.image.dispose();const Te=X.annotations.leftEyeIris&&X.annotations.rightEyeIris?Math.max(X.annotations.leftEyeIris[3][0]-X.annotations.leftEyeIris[1][0],X.annotations.rightEyeIris[3][0]-X.annotations.rightEyeIris[1][0]):0;oe.push({confidence:X.confidence,box:X.box,mesh:X.mesh,annotations:X.annotations,age:we.age,gender:M.gender,genderConfidence:M.confidence,emotion:V,iris:Te!==0?Math.trunc(100*11.7/Te)/100:0}),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),oe}async detect(N,i={}){this.state="config";let we;this.config=$h(this.config,i),this.config.videoOptimized||(this.config=$h(this.config,Xg)),this.state="check";const M=this.sanity(N);return M?(this.log(M,N),{error:M}):new Promise(async V=>{let oe,de,X;const Te=wa();await this.checkBackend(),await this.load(),this.config.scoped&&ro.engine().startScope(),this.analyze("Start Scope:"),we=wa();const z=Gg.process(N,this.config);this.perf.image=Math.trunc(wa()-we),this.analyze("Get Image:"),this.config.async?(X=this.config.face.enabled?this.detectFace(z.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",we=wa(),X=this.config.face.enabled?await this.detectFace(z.tensor):[],this.perf.face=Math.trunc(wa()-we)),this.analyze("Start Body:"),this.config.async?(oe=this.config.body.enabled?this.models.posenet.estimatePoses(z.tensor,this.config.body):[],this.perf.body&&delete this.perf.body):(this.state="run:body",we=wa(),oe=this.config.body.enabled?await this.models.posenet.estimatePoses(z.tensor,this.config.body):[],this.perf.body=Math.trunc(wa()-we)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(de=this.config.hand.enabled?this.models.handpose.estimateHands(z.tensor,this.config.hand):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",we=wa(),de=this.config.hand.enabled?await this.models.handpose.estimateHands(z.tensor,this.config.hand):[],this.perf.hand=Math.trunc(wa()-we)),this.config.async&&([X,oe,de]=await Promise.all([X,oe,de])),z.tensor.dispose(),this.config.scoped&&ro.engine().endScope(),this.analyze("End Scope:");let he=[];this.config.gesture.enabled&&(we=wa(),he={body:Hp.body(oe),hand:Hp.hand(de),face:Hp.face(X)},this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(wa()-we)),this.perf.total=Math.trunc(wa()-Te),this.state="idle",V({face:X,body:oe,hand:de,gesture:he,performance:this.perf,canvas:z.canvas})})}}async function Yg(N,i,we){if(!N)return;const M=i.getContext("2d");M.font=we.baseFont,M.fillStyle=we.baseLabel;let V=1;for(const[oe,de]of Object.entries(N))if(de.length>0){const X=`${oe}: ${de.join(", ")}`;M.fillText(X,6,V*(we.baseLineHeight+24)),V+=1}}async function Zg(N,i,we,M){if(!N)return;const V=i.getContext("2d");for(const oe of N){V.font=we.baseFont,V.strokeStyle=we.baseColor,V.fillStyle=we.baseColor,V.lineWidth=we.baseLineWidth,V.beginPath(),we.drawBoxes&&V.rect(oe.box[0],oe.box[1],oe.box[2],oe.box[3]);const de=[];if(oe.genderConfidence&&de.push(`${Math.trunc(100*oe.genderConfidence)}% ${oe.gender||""}`),oe.age&&de.push(`age: ${oe.age||""}`),oe.iris&&de.push(`iris: ${oe.iris}`),oe.emotion&&oe.emotion.length>0){const X=oe.emotion.map(Te=>`${Math.trunc(100*Te.score)}% ${Te.emotion}`);de.push(X.join(" "))}V.fillStyle=we.baseLabel;for(const X in de)V.fillText(de[X],oe.box[0]+8,oe.box[1]+24+(X+1)*we.baseLineHeight);if(V.stroke(),V.lineWidth=1,oe.mesh){if(we.drawPoints)for(const X of oe.mesh)V.fillStyle=we.useDepth?`rgba(${127.5+2*X[2]}, ${127.5-2*X[2]}, 255, 0.5)`:we.baseColor,V.beginPath(),V.arc(X[0],X[1],2,0,2*Math.PI),V.fill();if(we.drawPolygons)for(let X=0;X<M.length/3;X++){const Te=[M[X*3+0],M[X*3+1],M[X*3+2]].map(he=>oe.mesh[he]),z=new Path2D;z.moveTo(Te[0][0],Te[0][1]);for(const he of Te)z.lineTo(he[0],he[1]);z.closePath(),V.strokeStyle=we.useDepth?`rgba(${127.5+2*Te[0][2]}, ${127.5-2*Te[0][2]}, 255, 0.3)`:we.baseColor,V.stroke(z),we.fillPolygons&&(V.fillStyle=we.useDepth?`rgba(${127.5+2*Te[0][2]}, ${127.5-2*Te[0][2]}, 255, 0.3)`:we.baseColor,V.fill(z))}}}}async function Qg(N,i,we){if(!N)return;const M=i.getContext("2d");M.lineJoin="round";for(const V of N){if(M.fillStyle=we.baseColor,M.strokeStyle=we.baseColor,M.font=we.baseFont,M.lineWidth=we.baseLineWidth,we.drawPoints)for(const oe of V.keypoints)M.beginPath(),M.arc(oe.position.x,oe.position.y,2,0,2*Math.PI),M.fill();if(we.drawPolygons){const oe=new Path2D;let de;de=V.keypoints.find(X=>X.part==="leftShoulder"),oe.moveTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightShoulder"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightHip"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftHip"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftShoulder"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftHip"),oe.moveTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftKnee"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftAnkle"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightHip"),oe.moveTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightKnee"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightAnkle"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightShoulder"),oe.moveTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftShoulder"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftElbow"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftWrist"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="leftShoulder"),oe.moveTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightShoulder"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightElbow"),oe.lineTo(de.position.x,de.position.y),de=V.keypoints.find(X=>X.part==="rightWrist"),oe.lineTo(de.position.x,de.position.y),M.stroke(oe)}}}async function Jg(N,i,we){if(!N)return;const M=i.getContext("2d");M.lineJoin="round";for(const V of N){if(M.font=we.baseFont,M.lineWidth=we.baseLineWidth,we.drawBoxes&&(M.lineWidth=we.baseLineWidth,M.beginPath(),M.strokeStyle=we.baseColor,M.fillStyle=we.baseColor,M.rect(V.box[0],V.box[1],V.box[2],V.box[3]),M.fillStyle=we.baseLabel,M.fillText("hand",V.box[0]+2,V.box[1]+22,V.box[2]),M.stroke()),we.drawPoints&&(V.landmarks&&V.landmarks.length>0))for(const oe of V.landmarks)M.fillStyle=we.useDepth?`rgba(${127.5+2*oe[2]}, ${127.5-2*oe[2]}, 255, 0.5)`:we.baseColor,M.beginPath(),M.arc(oe[0],oe[1],2,0,2*Math.PI),M.fill();if(we.drawPolygons){const oe=de=>{if(!de)return;for(let X=0;X<de.length;X++)M.lineWidth=we.baseLineWidth,M.beginPath(),M.strokeStyle=we.useDepth?`rgba(${127.5+2*de[X][2]}, ${127.5-2*de[X][2]}, 255, 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/*! *****************************************************************************
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0

THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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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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