human/dist/human.cjs

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0?arguments[0]:null,t=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};xt.call(this,n,t);const e=t.status||200,i=new fn(t.headers);if(n!=null&&!i.has("Content-Type")){const r=sf(n);r&&i.append("Content-Type",r)}this[li]={url:t.url,status:e,statusText:t.statusText||f2[e],headers:i,counter:t.counter}}get url(){return this[li].url||""}get status(){return this[li].status}get ok(){return this[li].status>=200&&this[li].status<300}get redirected(){return this[li].counter>0}get statusText(){return this[li].statusText}get headers(){return this[li].headers}clone(){return new 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i=t.method||n.method||"GET";if(i=i.toUpperCase(),(t.body!=null||Es(n)&&n.body!==null)&&(i==="GET"||i==="HEAD"))throw new TypeError("Request with GET/HEAD method cannot have body");let r=t.body!=null?t.body:Es(n)&&n.body!==null?af(n):null;xt.call(this,r,{timeout:t.timeout||n.timeout||0,size:t.size||n.size||0});const a=new fn(t.headers||n.headers||{});if(r!=null&&!a.has("Content-Type")){const o=sf(r);o&&a.append("Content-Type",o)}let s=Es(n)?n.signal:null;if("signal"in t&&(s=t.signal),s!=null&&!v2(s))throw new TypeError("Expected signal to be an instanceof AbortSignal");this[jn]={method:i,redirect:t.redirect||n.redirect||"follow",headers:a,parsedURL:e,signal:s},this.follow=t.follow!==void 0?t.follow:n.follow!==void 0?n.follow:20,this.compress=t.compress!==void 0?t.compress:n.compress!==void 0?n.compress:!0,this.counter=t.counter||n.counter||0,this.agent=t.agent||n.agent}get method(){return this[jn].method}get url(){return m2(this[jn].parsedURL)}get headers(){return this[jn].headers}get 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aborted a request.");if(i(m),r.body&&r.body instanceof ln.default.Readable&&r.body.destroy(m),!l||!l.body)return;l.body.emit("error",m)};if(o&&o.aborted){u();return}const c=function(){u(),p()},h=s(a);let d;o&&o.addEventListener("abort",c);function p(){h.abort(),o&&o.removeEventListener("abort",c),clearTimeout(d)}r.timeout&&h.once("socket",function(f){d=setTimeout(function(){i(new Ft(`network timeout at: ${r.url}`,"request-timeout")),p()},r.timeout)}),h.on("error",function(f){i(new Ft(`request to ${r.url} failed, reason: ${f.message}`,"system",f)),p()}),h.on("response",function(f){clearTimeout(d);const m=p2(f.headers);if(ui.isRedirect(f.statusCode)){const S=m.get("Location"),L=S===null?null:b2(r.url,S);switch(r.redirect){case"error":i(new Ft(`uri requested responds with a redirect, redirect mode is set to error: ${r.url}`,"no-redirect")),p();return;case"manual":if(L!==null)try{m.set("Location",L)}catch(C){i(C)}break;case"follow":if(L===null)break;if(r.counter>=r.follow){i(new 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To get the original bytes, call tensor.bytes().")}return t},n.prototype.bytes=function(){return de(this,void 0,void 0,function(){var t;return pe(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,On().read(this.dataId)];case 1:return t=e.sent(),this.dtype==="string"?[2,t]:[2,new Uint8Array(t.buffer)]}})})},n.prototype.dispose=function(){if(this.isDisposed)return;On().disposeTensor(this),this.isDisposedInternal=!0},Object.defineProperty(n.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),n.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},n.prototype.print=function(t){return t===void 0&&(t=!1),Fr.print(this,t)},n.prototype.clone=function(){return this.throwIfDisposed(),Fr.clone(this)},n.prototype.toString=function(t){t===void 0&&(t=!1);var e=this.dataSync();return nA(e,this.shape,this.dtype,t)},n.prototype.cast=function(t){return this.throwIfDisposed(),Fr.cast(this,t)},n.prototype.variable=function(t,e,i){return t===void 0&&(t=!0),this.throwIfDisposed(),On().makeVariable(this,t,e,i)},n}();Object.defineProperty(Y,Symbol.hasInstance,{value:function(n){return!!n&&n.data!=null&&n.dataSync!=null&&n.throwIfDisposed!=null}});var Wa=function(n){$n(t,n);function t(e,i,r,a){var s=n.call(this,e.shape,e.dtype,e.dataId,a)||this;return s.trainable=i,s.name=r,s}return t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and "+("previous value ("+this.dtype+") must match"));if(!un(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and "+("previous value ("+this.shape+") must match"));On().disposeTensor(this),this.dataId=e.dataId,On().incRef(this,null)},t.prototype.dispose=function(){On().disposeVariable(this),this.isDisposedInternal=!0},t}(Y);Object.defineProperty(Wa,Symbol.hasInstance,{value:function(n){return n instanceof Y&&n.assign!=null&&n.assign instanceof Function}});(function(n){n.R0="R0",n.R1="R1",n.R2="R2",n.R3="R3",n.R4="R4",n.R5="R5",n.R6="R6"})(I.Rank||(I.Rank={}));var Tc;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(Tc||(Tc={}));var Nc;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(Nc||(Nc={}));var xc;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})(xc||(xc={}));var Cc;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(Cc||(Cc={}));var aA={float32:xc,int32:Tc,bool:Nc,complex64:Cc};function Ms(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error("Can not upcast "+n+" with "+t)}return aA[n][t]}function sA(n){return Ms(n,"int32")}function rt(n,t){if(n.dtype===t.dtype)return[n,t];var e=Ms(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function Rm(n,t){E(n.dtype===t.dtype,function(){return"The dtypes of the first("+n.dtype+") and"+(" second("+t.dtype+") input must match")})}function oA(n,t){return t.some(function(e){return e.id===n.id})}function Rc(n){var t=[],e=new Set;return Om(n,t,e),t}function Om(n,t,e){if(n==null)return;if(n instanceof Y){t.push(n);return}if(!lA(n))return;var i=n;for(var r in i){var a=i[r];e.has(a)||(e.add(a),Om(a,t,e))}}function lA(n){return Array.isArray(n)||typeof n=="object"}var uA={__proto__:null,makeTypesMatch:rt,assertTypesMatch:Rm,isTensorInList:oA,getTensorsInContainer:Rc};var Em=function(){function n(){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 n.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},n}(),dA=function(){function n(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Em}return n.prototype.ready=function(){return de(this,void 0,void 0,function(){var t,e,i,r;return pe(this,function(a){switch(a.label){case 0:if(this.pendingBackendInit!=null)return[2,this.pendingBackendInit.then(function(){})];if(this.backendInstance!=null)return[2];t=this.getSortedBackends(),e=0,a.label=1;case 1:return e<t.length?(i=t[e],[4,this.initializeBackend(i).success]):[3,5];case 2:return r=a.sent(),r?[4,this.setBackend(i)]:[3,4];case 3:return a.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(n.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 t=this.initializeBackendsAndReturnBest(),e=t.name,i=t.asyncInit;if(i)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),n.prototype.backendNames=function(){return Object.keys(this.registryFactory)},n.prototype.findBackend=function(t){if(!(t in this.registry))if(t in this.registryFactory){var e=this.initializeBackend(t).asyncInit;if(e)return null}else return null;return this.registry[t]},n.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},n.prototype.registerBackend=function(t,e,i){return i===void 0&&(i=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:i},!0)},n.prototype.setBackend=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s;return pe(this,function(o){switch(o.label){case 0:if(this.registryFactory[t]==null)throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,this.registry[t]==null?(this.backendInstance=null,e=this.initializeBackend(t),i=e.success,r=e.asyncInit,r?[4,i]:[3,2]):[3,4];case 1:return s=o.sent(),[3,3];case 2:s=i,o.label=3;case 3:if(a=s,!a)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new Z2(this.backendInstance),[2,!0]}})})},n.prototype.setupRegisteredKernels=function(){var t=this,e=Fs(this.backendName);e.forEach(function(i){i.setupFunc!=null&&i.setupFunc(t.backendInstance)})},n.prototype.disposeRegisteredKernels=function(t){var e=this,i=Fs(t);i.forEach(function(r){r.disposeFunc!=null&&r.disposeFunc(e.registry[t])})},n.prototype.initializeBackend=function(t){var e=this,i=this.registryFactory[t];if(i==null)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=i.factory();if(r&&!(r instanceof df)&&typeof r.then=="function"){var a=++this.pendingBackendInitId,s=r.then(function(o){return a<e.pendingBackendInitId?!1:(e.registry[t]=o,e.pendingBackendInit=null,!0)}).catch(function(o){return a<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message)),!1});return this.pendingBackendInit=s,{success:s,asyncInit:!0}}else return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(o){return console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message),{success:!1,asyncInit:!1}}},n.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},n.prototype.getSortedBackends=function(){var t=this;if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,i){return t.registryFactory[i].priority-t.registryFactory[e].priority})},n.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var i=t[e],r=this.initializeBackend(i),a=r.success,s=r.asyncInit;if(s||a)return{name:i,asyncInit:s}}throw new Error("Could not initialize any backends, all backend initializations failed.")},n.prototype.moveData=function(t,e){var i=this.state.tensorInfo.get(e),r=i.backend,a=this.readSync(e);r.disposeData(e),i.backend=t,t.move(e,a,i.shape,i.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},n.prototype.tidy=function(t,e){var i=this,r=null;if(e==null){if(typeof t!="function")throw new Error("Please provide a function to tidy()");e=t}else{if(typeof t!="string"&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof e!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");r=t}var a;return this.scopedRun(function(){return i.startScope(r)},function(){return i.endScope(a)},function(){return a=e(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a})},n.prototype.scopedRun=function(t,e,i){t();try{var r=i();return e(),r}catch(a){throw e(),a}},n.prototype.nextTensorId=function(){return n.nextTensorId++},n.prototype.nextVariableId=function(){return n.nextVariableId++},n.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),i={x:t},r=function(s){return{x:function(){var o="float32",l={x:s},u={dtype:o};return z.runKernelFunc(function(c){return c.cast(s,o)},l,null,ks,u)}}},a=[];return this.addTapeNode(this.state.activeScope.name,i,[e],r,a,{}),e},n.prototype.runKernel=function(t,e,i,r,a){var s=null,o=null;return this.runKernelFunc(s,e,o,t,i,r,a)},n.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},n.prototype.checkKernelForMemLeak=function(t,e,i){var r=this.backend.numDataIds(),a=0;i.forEach(function(l){a+=l.dtype==="complex64"?3:1});var s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-a-s;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak "+("("+o+" data ids) after running '"+t+"'"))},n.prototype.runKernelFunc=function(t,e,i,r,a,s,o){var l=this,u,c=[],h=this.isTapeOn();r==null&&(r=this.state.activeScope!=null?this.state.activeScope.name:"");var d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var f,m=vc(r,this.backendName),g;if(m!=null)f=function(){var w=l.backend.numDataIds();g=m.kernelFunc({inputs:e,attrs:a,backend:l.backend});var S=Array.isArray(g)?g:[g];l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(r,w,S);var L=S.map(function(R){var D=R.dataId,k=R.shape,W=R.dtype;return l.makeTensorFromDataId(D,k,W)});if(h){var N=l.getTensorsForGradient(r,e,L);if(N==null){o==null&&(o=[]);var C=L.filter(function(R,D){return o[D]});N=(s||[]).slice().concat(C)}c=l.saveTensorsForBackwardMode(N)}return L};else{var v=function(w){if(!h)return;c=w.map(function(S){return l.keep(l.clone(S))})};f=function(){var w=l.backend.numDataIds();g=l.tidy(function(){return t(l.backend,v)});var S=Array.isArray(g)?g:[g];return l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(r,w,S),S}}var b;return this.scopedRun(function(){return l.state.kernelDepth++},function(){return l.state.kernelDepth--},function(){!l.ENV.getBool("DEBUG")&&!l.state.profiling?u=f():(b=l.profiler.profileKernel(r,e,function(){return f()}),l.ENV.getBool("DEBUG")&&l.profiler.logKernelProfile(b),u=b.outputs)}),h&&this.addTapeNode(r,e,u,i,c,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(w){return e[w]!=null?e[w].shape:null}),outputShapes:u.map(function(w){return w.shape}),kernelTimeMs:b.timeMs,extraInfo:b.extraInfo}),Array.isArray(g)?u:u[0]},n.prototype.saveTensorsForBackwardMode=function(t){var e=this,i=t.map(function(r){return e.keep(e.clone(r))});return i},n.prototype.getTensorsForGradient=function(t,e,i){var r=yc(t);if(r!=null){var a=r.inputsToSave||[],s=r.outputsToSave||[],o=void 0;r.saveAllInputs?(E(Array.isArray(e),function(){return"saveAllInputs is true, expected inputs to be an array."}),o=Object.keys(e).map(function(u){return e[u]})):o=a.map(function(u){return e[u]});var l=i.filter(function(u,c){return s[c]});return o.concat(l)}return null},n.prototype.makeTensor=function(t,e,i,r){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");i=i||"float32",r=r||this.backend;var a=t;i==="string"&&ci(t[0])&&(a=t.map(function(c){return bc(c)}));var s=r.write(a,e,i),o=new Y(e,i,s,this.nextTensorId());if(this.incRef(o,r),i==="string"){var l=this.state.tensorInfo.get(s),u=Im(a);this.state.numBytes+=u-l.bytes,l.bytes=u}return o},n.prototype.makeTensorFromDataId=function(t,e,i,r){i=i||"float32";var a=new Y(e,i,t,this.nextTensorId());return this.incRef(a,r),a},n.prototype.makeVariable=function(t,e,i,r){e===void 0&&(e=!0),i=i||this.nextVariableId().toString(),r!=null&&r!==t.dtype&&(t=t.cast(r));var a=new Wa(t,e,i,this.nextTensorId());if(this.state.registeredVariables[a.name]!=null)throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},n.prototype.incRef=function(t,e){var i=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++,i===0){this.state.numDataBuffers++;var r=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(r=t.size*Lm(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Wa||this.track(t)},n.prototype.disposeTensor=function(t){if(!this.state.tensorInfo.has(t.dataId))return;this.state.numTensors--,t.dtype==="string"&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId),i=e.refCount;i<=1?(t.dtype!=="complex64"&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--},n.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},n.prototype.disposeVariable=function(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]},n.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},n.prototype.profile=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u;return pe(this,function(c){switch(c.label){case 0:return this.state.profiling=!0,e=this.state.numBytes,i=this.state.numTensors,this.state.activeProfile.kernels=[],r=this.state.activeProfile,[4,t()];case 1:r.result=c.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(h){return h.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-i,a=0,s=this.state.activeProfile.kernels,c.label=2;case 2:return a<s.length?(o=s[a],l=o,[4,o.kernelTimeMs]):[3,6];case 3:return l.kernelTimeMs=c.sent(),u=o,[4,o.extraInfo];case 4:u.extraInfo=c.sent(),c.label=5;case 5:return a++,[3,2];case 6:return[2,this.state.activeProfile]}})})},n.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&this.state.kernelDepth===0},n.prototype.addTapeNode=function(t,e,i,r,a,s){var o=this,l={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:i,saved:a},u=yc(t);u!=null&&(r=u.gradFunc),r!=null&&(l.gradient=function(c){return c=c.map(function(h,d){if(h==null){var p=i[d],f=kr(p.size,p.dtype);return o.makeTensor(f,p.shape,p.dtype)}return h}),r(c.length>1?c:c[0],a,s)}),this.state.activeTape.push(l)},n.prototype.keep=function(t){return t.kept=!0,t},n.prototype.startTape=function(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++},n.prototype.endTape=function(){this.state.gradientDepth--},n.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},n.prototype.endScope=function(t){for(var e=this,i=Rc(t),r=new Set(i.map(function(l){return l.id})),a=0;a<this.state.activeScope.track.length;a++){var s=this.state.activeScope.track[a];!s.kept&&!r.has(s.id)&&s.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],i.forEach(function(l){!l.kept&&l.scopeId===o.id&&e.track(l)})},n.prototype.gradients=function(t,e,i,r){var a=this;if(r===void 0&&(r=!1),E(e.length>0,function(){return"gradients() received an empty list of xs."}),i!=null&&i.dtype!=="float32")throw new Error("dy must have 'float32' dtype, but has '"+i.dtype+"'");var s=this.scopedRun(function(){return a.startTape()},function(){return a.endTape()},function(){return a.tidy("forward",t)});E(s instanceof Y,function(){return"The result y returned by f() must be a tensor."});var o=Q2(this.state.activeTape,e,s);if(!r&&o.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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e,i=O(n,"a","squaredDifference"),r=O(t,"b","squaredDifference");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(l,u){var c=l.squaredDifference(i,r);return u([i,r]),c},s={a:i,b:r},o={};return z.runKernelFunc(a,s,null,nc,o)}var ho=U({squaredDifference_:YC});function KC(n,t){var e=O(n,"x","squeeze");return V(e,vm(e.shape,t).newShape)}var po=U({squeeze_:KC});function jC(n,t){t===void 0&&(t=0);var e=Ua(n,"tensors","stack");if(E(e.length>=1,function(){return"Pass at least one tensor to tf.stack"}),e.length===1)return vn(e[0],t);var i=e[0].rank,r=e[0].shape,a=e[0].dtype;E(t<=i,function(){return"Axis must be <= rank of the tensor"}),e.forEach(function(o){Ue(r,o.shape,"All tensors passed to stack must have matching shapes"),E(a===o.dtype,function(){return"All tensors passed to stack must have matching dtypes"})});var s=e.map(function(o){return vn(o,t)});return Ct(s,t)}var nr=U({stack_:jC});function $C(n,t){t===void 0&&(t=0);var e=O(n,"x","step"),i={x:e},r={alpha:t};return z.runKernelFunc(function(a){return a.step(e,t)},i,null,hc,r)}var $r=U({step_:$C});function XC(n,t,e,i,r,a,s,o,l){r===void 0&&(r=0),a===void 0&&(a=0),s===void 0&&(s=0),o===void 0&&(o=0),l===void 0&&(l=0);var u=O(n,"x","stridedSlice"),c=function(p){i==null&&(i=new Array(t.length));var f=Gs(s);if(f.length>1)throw new Error("Multiple ellipses in slice is not allowed.");if(s!==0&&o!==0)throw new Error("Using both ellipsisMask and newAxisMask is not yet supported.");if(s!==0&&l!==0)throw new Error("Using both ellipsisMask and shrinkAxisMask is not yet supported.");var m=u.rank-t.length,g=Gs(o),v=u.shape.slice();g.forEach(function(W){t[W]=0,e[W]=1,v.splice(W,0,1)}),u=V(u,v);var b=dg(u.shape,f,m,t,e,i,r,a,s),w=b.begin,S=b.end,L=b.strides;t=w,e=S,i=L;var N=Gs(l);N.forEach(function(W){e[W]=t[W]+1,i[W]=1});var C=ig(t,e,i),R=C.filter(function(W,F){return N.indexOf(F)===-1}),D=i.every(function(W){return W===1});if(D)return V(ze(u,t,C),R);var k=p.stridedSlice(u,t,e,i);return V(k,R)},h={x:u},d={begin:t,end:e,strides:i,beginMask:r,endMask:a,ellipsisMask:s,newAxisMask:o,shrinkAxisMask:l};return z.runKernelFunc(c,h,null,um,d)}var hv=U({stridedSlice_:XC});function JC(n){var t=O(n,"x","tan"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.tan(t);return r([t]),a},e,null,rc)}var dv=U({tan_:JC});function ja(n,t,e){if(Hi(n),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");var i=En(n,e);if(i.length!==2&&i.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return pi(n,t,i,e)}function ZC(n,t,e){if(Hi(n),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");var i=En(n,e);if(i.length!==4&&i.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return pi(n,t,i,e)}function QC(n,t,e){if(Hi(n),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");var i=En(n,e);if(i.length!==5&&i.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return pi(n,t,i,e)}function eR(n,t,e){if(Hi(n),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");var i=En(n,e);if(i.length!==6&&i.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||i,pi(n,t,i,e)}function tR(n,t,e){t===void 0&&(t=1),e===void 0&&(e=!0);var i=O(n,"x","topk");if(i.rank===0)throw new Error("topk() expects 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dtype int"});var a={x:i,segmentIds:r},s={numSegments:e},o=function(l,u){var c=l.unsortedSegmentSum(i,r,e);return u([r]),c};return z.runKernelFunc(o,a,null,uc,s)}var wh=U({unsortedSegmentSum_:aR});function sR(n,t){t===void 0&&(t=0);var e=O(n,"x","unstack");E(t>=-e.shape.length&&t<e.shape.length,function(){return"Axis = "+t+" is not in [-"+e.shape.length+", "+e.shape.length+")"}),t<0&&(t+=e.shape.length);var i={value:e},r={axis:t},a=function(s){return s.unstack(e,t)};return z.runKernelFunc(a,i,null,lc,r)}var fo=U({unstack_:sR});function oR(n,t,e,i){return t===void 0&&(t=!0),z.makeVariable(n,t,e,i)}function mv(n,t){for(var e=[],i=0;i<t.length;i++)t[i]&&e.push(i);for(var r=Dn(n,"int32"),a=Dn([e.length,n.length],"int32"),i=0;i<e.length;i++){var s=r.indexToLoc(e[i]),o=i*n.length;a.values.set(s,o)}return a.toTensor()}function lR(n){return de(this,void 0,void 0,function(){var t,e,i;return pe(this,function(r){switch(r.label){case 0:return t=O(n,"condition","whereAsync","bool"),[4,t.data()];case 1:return e=r.sent(),i=mv(t.shape,e),n!==t&&t.dispose(),[2,i]}})})}var gv=lR;function uR(n,t,e){return de(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m;return pe(this,function(g){switch(g.label){case 0:for(i=O(n,"tensor","boolMask"),r=O(t,"mask","boolMask","bool"),a=e??0,s=r.rank,o=i.shape,E(s>0,function(){return"mask cannot be scalar"}),Ue(o.slice(a,a+s),r.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,u=a;u<a+s;u++)l*=o[u];return c=o.slice(0,a).concat([l],o.slice(a+s)),h=V(i,c),d=V(r,[-1]),[4,gv(d)];case 1:return p=g.sent(),f=po(p,[1]),m=eo(h,f,a),n!==i&&i.dispose(),t!==r&&r.dispose(),f.dispose(),h.dispose(),d.dispose(),p.dispose(),[2,m]}})})}var cR=uR;function hR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","notEqualStrict"),i=O(t,"b","notEqualStrict");return Ue(e.shape,i.shape,"Error in notEqualStrict: "),oo(e,i)}function dR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","lessStrict"),i=O(t,"b","lessStrict");return Ue(e.shape,i.shape,"Error in lessStrict: "),no(e,i)}function pR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","equalStrict"),i=O(t,"b","equalStrict");return Ue(e.shape,i.shape,"Error in equalStrict: "),Va(e,i)}function fR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","lessEqualStrict"),i=O(t,"b","lessEqualStrict");return Ue(e.shape,i.shape,"Error in lessEqualStrict: "),$i(e,i)}function mR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","greaterStrict"),i=O(t,"b","greaterStrict");return Ue(e.shape,i.shape,"Error in greaterStrict: "),bi(e,i)}function gR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","greaterEqualStrict"),i=O(t,"b","greaterEqualStrict");return Ue(e.shape,i.shape,"Error in greaterEqualStrict: "),ji(e,i)}var vv=U({equalStrict_:pR}),yv=U({greaterEqualStrict_:gR}),bv=U({greaterStrict_:mR}),wv=U({lessEqualStrict_:fR}),Sv=U({lessStrict_:dR}),Lv=U({notEqualStrict_:hR});function vR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","addStrict"),i=O(t,"b","addStrict");return Ue(e.shape,i.shape,"Error in addStrict: "),fe(e,i)}function yR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","subStrict"),i=O(t,"b","subStrict");return Ue(e.shape,i.shape,"Error in subStrict: "),ge(e,i)}function bR(n,t){return It("strict variants of ops have been deprecated and will be removed in future"),Ue(n.shape,t.shape,"Error in powStrict: "),Qn(n,t)}function wR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","mul"),i=O(t,"b","mul");return Ue(e.shape,i.shape,"Error in multiplyStrict: "),J(e,i)}function SR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","div"),i=O(t,"b","div");return Ue(e.shape,i.shape,"Error in divideStrict: "),Le(e,i)}function LR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","modStrict"),i=O(t,"b","modStrict");return Ue(e.shape,i.shape,"Error in modStrict: "),uh(e,i)}function IR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","minimumStrict"),i=O(t,"b","minimumStrict");return Ue(e.shape,i.shape,"Error in minimumStrict: "),so(e,i)}function AR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","maximumStrict"),i=O(t,"b","maximumStrict");return Ue(e.shape,i.shape,"Error in maximumStrict: "),qr(e,i)}function TR(n,t){It("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","squaredDifferenceStrict"),i=O(t,"b","squaredDifferenceStrict");return Ue(e.shape,i.shape,"Error in squaredDifferenceStrict: "),ho(e,i)}var Iv=U({addStrict_:vR}),Av=U({divStrict_:SR}),Tv=U({maximumStrict_:AR}),Nv=U({minimumStrict_:IR}),xv=U({modStrict_:LR}),Cv=U({mulStrict_:wR}),Rv=U({powStrict_:bR}),Ov=U({squaredDifferenceStrict_:TR}),Ev=U({subStrict_:yR});function NR(n,t,e,i){t===void 0&&(t="euclidean"),e===void 0&&(e=null),i===void 0&&(i=!1),n=O(n,"x","norm");var r=Dv(n,t,e),a=r.shape;if(i){var s=Ze(e,n.shape);a=tn(r.shape,s)}return V(r,a)}function Dv(n,t,e){if(e===void 0&&(e=null),n.rank===0)return Gt(n);if(n.rank!==1&&e===null)return Dv(V(n,[-1]),t,e);if(n.rank===1||typeof e=="number"||Array.isArray(e)&&e.length===1){if(t===1)return Ie(Gt(n),e);if(t===Infinity)return Ji(Gt(n),e);if(t===-Infinity)return ao(Gt(n),e);if(t==="euclidean"||t===2)return Mt(Ie(Qn(Gt(n),be(2,"int32")),e));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(e)&&e.length===2){if(t===1)return Ji(Ie(Gt(n),e[0]),e[1]-1);if(t===Infinity)return Ji(Ie(Gt(n),e[1]),e[0]);if(t===-Infinity)return ao(Ie(Gt(n),e[1]),e[0]);if(t==="fro"||t==="euclidean")return Mt(Ie(Ge(n),e));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+e)}var mo=U({norm_:NR});function xR(n,t,e,i,r){r===void 0&&(r=!0);var a=O(n,"v","movingAverage"),s=O(t,"x","movingAverage"),o=O(e,"decay","movingAverage");Rm(a,s),E(un(a.shape,s.shape),function(){return"Shape mismatch in v and x"});var l=be(1),u=ge(l,o),c=J(ge(s,a),u);if(r){E(i!=null,function(){return"When using zeroDebias: true, step is required."});var h=O(i,"step","movingAverage");c=Le(c,ge(l,Qn(o,h)))}return fe(a,c)}var CR=U({movingAverage_:xR});function RR(n,t,e){var i=O(n,"indices","scatterND","int32"),r=O(t,"updates","scatterND");Hc(r,i,e);var a=function(l){return l.scatterND(i,r,e)},s={indices:i,updates:r},o={shape:e};return z.runKernelFunc(a,s,null,sm,o)}var OR=U({scatterND_:RR});function ER(n,t,e,i){if(n.dtype!=="int32")throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+(" but the dtype was "+n.dtype+"."));if(n.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+(" but got shape "+n.shape+"."));var r=n.rank>0?n.shape[0]:1,a=n.rank>1?n.shape[1]:1;if(e.length!==a)throw new Error("outputShape has incorrect number of elements:,"+(" "+e.length+", should be: "+a+"."));var s=t.size;if(!(t.rank===0||t.rank===1&&s===r))throw new Error("sparseValues has incorrect shape "+(t.shape+", should be [] or ["+r+"]"));if(t.dtype!==i.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function DR(n,t,e,i){i===void 0&&(i=0);var r=O(n,"sparseIndices","sparseToDense","int32"),a=O(t,"sparseValues","sparseToDense"),s=O(i,"defaultValue","sparseToDense",a.dtype);ER(r,a,e,s);var o={sparseIndices:r,sparseValues:a,defaultValue:s},l={outputShape:e};return z.runKernelFunc(function(u){return u.sparseToDense(r,a,e,s)},o,null,lm,l)}var kR=U({sparseToDense_:DR});function FR(n,t){var e=O(t,"indices","gatherND","int32"),i=O(n,"x","gatherND"),r=function(s){return s.gatherND(i,e)},a={params:i,indices:e};return z.runKernelFunc(r,a,null,Bf)}var WR=U({gatherND_:FR});function UR(n,t){if(t==null)return n.shape.slice();if(un(n.shape,t))return t;if(n.shape.length===t.length){for(var e=[],i=0;i<n.shape.length;i++)t[i]==null&&n.shape[i]!=null?e.push(n.shape[i]):e.push(t[i]);return e}return t}function BR(n,t,e,i){var r=O(n,"x","dropout");if(E(r.dtype==="float32",function(){return"x has to be a floating point tensor since it's going to be "+("scaled, but got a "+r.dtype+" tensor instead.")}),E(t>=0&&t<1,function(){return"rate must be a float in the range [0, 1), but got "+t+"."}),t===0)return n instanceof Y?r.clone():r;var a=UR(r,e),s=1-t,o=Le(Qs(fe(iv(a,0,1,"float32",i),s)),s);return J(r,o)}var zR=U({dropout_:BR});function kv(n){return Math.floor(Math.pow(2,Math.ceil(Math.log(n)/Math.log(2))))}function Sh(n,t,e){for(var i=1-n%2,r=new Float32Array(n),a=0;a<n;++a){var s=2*Math.PI*a/(n+i-1);r[a]=t-e*Math.cos(s)}return Kr(r,"float32")}function PR(n,t,e){return e===void 0&&(e=1),de(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,g;return pe(this,function(v){switch(v.label){case 0:return i=O(n,"predictions","inTopK"),r=O(t,"targets","inTopK"),E(i.rank>1,function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+("but got "+i.rank)}),E(i.rank-1===r.rank,function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+(i.rank+" and targets rank "+r.rank)}),Ue(i.shape.slice(0,i.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),a=i.shape[i.shape.length-1],E(e>0&&e<=a,function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+("dimension ("+a+"), but got "+e)}),[4,i.data()];case 1:return s=v.sent(),[4,r.data()];case 2:for(o=v.sent(),l=[s.length/a,a],u=l[0],c=l[1],h=Ws("bool",u),d=0;d<u;d++){for(p=d*c,f=s.subarray(p,p+c),m=[],g=0;g<f.length;g++)m.push({value:f[g],index:g});for(m.sort(function(b,w){return w.value-b.value}),h[d]=0,g=0;g<e;g++)if(m[g].index===o[d]){h[d]=1;break}}return n!==i&&i.dispose(),t!==r&&r.dispose(),[2,fi(h,r.shape,"bool")]}})})}var _R=PR;function MR(n,t,e,i,r,a,s){a===void 0&&(a="NHWC");var o=n;n.rank===3&&(o=V(n,[1,n.shape[0],n.shape[1],n.shape[2]]));var l=t;l.rank===3&&(l=V(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(o.rank===4,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+(o.shape+".")}),E(l.rank===4,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+(l.shape+".")}),E(e.length===4,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+(e+".")});var u=a==="NHWC"?o.shape[3]:o.shape[1],c=a==="NHWC"?l.shape[3]:l.shape[1];E(u===e[2],function(){return"Error in conv2dDerFilter: depth of input "+u+") must "+("match input depth in filter ("+e[2]+".")}),E(c===e[3],function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must "+("match output depth for filter ("+e[3]+").")}),s!=null&&E(it(r),function(){return"Error in conv2dDerFilter: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+r+".")});var h=function(f){var m=1,g=za(a),v=Fn(o.shape,e,i,m,r,s,!1,g);return f.conv2dDerFilter(o,l,v)},d={x:o,dy:l},p={strides:i,pad:r,dataFormat:a,dimRoundingMode:s};return z.runKernelFunc(h,d,null,Lf,p)}var Lh=U({conv2DBackpropFilter_:MR});function go(n,t,e){if(e==null||e==="linear")return n;if(e==="relu")return J(n,$r(t));throw new Error("Cannot compute gradient for fused activation "+e+".")}function vo(n,t){var e=t,i=mt(n.shape,t.shape);return i.length>0&&(e=Ie(e,i)),V(e,n.shape)}function yo(n,t,e){if(t==="linear")return n;if(t==="relu")return Ya(n);if(t==="elu")return th(n);if(t==="relu6")return mh(n);if(t==="prelu")return hh(n,e);throw new 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C=p.shape.slice(0,-2).concat([v,b]),R=a?V(p,[L,m,v]):V(p,[L,v,m]),D=o?V(f,[N,b,g]):V(f,[N,g,b]),k;l!=null&&(k=O(l,"bias","fused matMul"),k=rt(k,p)[0],Qe(C,k.shape));var W;h!=null&&(W=O(h,"prelu weights","fused matMul"));var F=function(q,G){var Z=G[0],X=G[1],ee=G[2],ne=G[3],ie=go(V(q,ee.shape),ee,c),te,re;if(!a&&!o?(te=Fe(ie,X,!1,!0),re=Fe(Z,ie,!0,!1)):!a&&o?(te=Fe(ie,X,!1,!1),re=Fe(ie,Z,!0,!1)):a&&!o?(te=Fe(X,ie,!1,!0),re=Fe(Z,ie,!1,!1)):(te=Fe(X,ie,!0,!0),re=Fe(ie,Z,!0,!0)),l!=null){var le=vo(ne,ie);return[te,re,le]}else return[te,re]},P=function(q){var G=q.fusedBatchMatMul({a:R,b:D,transposeA:a,transposeB:o,bias:k,activation:c,preluActivationWeights:W});return G},H={a:R,b:D,bias:k,preluActivationWeights:W},_={transposeA:a,transposeB:o,activation:c};if(l==null){var K=Wn(function(q,G,Z){var X=z.runKernelFunc(P,H,null,pc,_);return Z([q,G,X]),{value:V(X,C),gradFunc:F}});return K(R,D)}else{var j=Wn(function(q,G,Z,X){var ee=z.runKernelFunc(P,H,null,pc,_);return 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b=fe(J(Le(g,fe(Mt(v),i.epsilon)),-i.learningRate),u);u.assign(b)}),i.accBeta1.assign(J(i.accBeta1,i.beta1)),i.accBeta2.assign(J(i.accBeta2,i.beta2))}),this.incrementIterations()},t.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Pt(this.accumulatedFirstMoment.map(function(e){return e.variable})),this.accumulatedSecondMoment!=null&&Pt(this.accumulatedSecondMoment.map(function(e){return e.variable}))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){switch(i.label){case 0:return e=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[i.sent()].concat(e.map(function(r){return{name:r.originalName,tensor:r.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i,r,a=this;return pe(this,function(s){switch(s.label){case 0:return[4,this.extractIterations(e)];case 1:return 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n.prototype.getConfig=function(){for(var t=[],e=0,i=this.inboundLayers;e<i.length;e++){var r=i[e];r!=null?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},n}(),C3=0,De=function(n){Q(t,n);function t(e){e===void 0&&(e={});var i=n.call(this)||this;i._callHook=null,i._addedWeightNames=[],i._stateful=!1,i.id=C3++,i.activityRegularizer=null,i.inputSpec=null,i.supportsMasking=!1,i._trainableWeights=[],i._nonTrainableWeights=[],i._losses=[],i._updates=[],i._built=!1,i.inboundNodes=[],i.outboundNodes=[];var r=e.name;if(!r){var a=i.getClassName();r=ni(a)+"_"+To(a)}if(i.name=r,i.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){var s=void 0;if(e.batchInputShape!=null)s=e.batchInputShape;else if(e.inputShape!=null){var o=null;e.batchSize!=null&&(o=e.batchSize),s=[o].concat(e.inputShape)}i.batchInputShape=s;var 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i==null?a=ar(null,e.length):a=Xe(i),r.runInternalGraph(e,a)[1]})},t.prototype.computeOutputShape=function(e){var i=No(e);if(i.length!==this.inputLayers.length)throw new M("Invalid inputShape argument "+e+": "+("model has "+this.inputLayers.length+" tensor inputs."));for(var r={},a=0;a<i.length;a++){var s=this.inputLayers[a],o=i[a],l=s.name+"_0_0";r[l]=o}var u=Object.keys(this.nodesByDepth).map(function(P){return parseInt(P,10)}).sort(So);if(u.length>1)for(var c=0,h=u;c<h.length;c++)for(var d=h[c],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){var g=m[f],s=g.outboundLayer;if(this.inputLayers.map(function(H){return H.id}).indexOf(s.id)!==-1)continue;for(var v=[],b=0;b<g.inboundLayers.length;b++){var w=g.inboundLayers[b],S=g.nodeIndices[b],L=g.tensorIndices[b],l=w.name+"_"+S+"_"+L,N=r[l];v.push(N)}for(var C=s.computeOutputShape(Ht(v)),R=No(C),D=s.inboundNodes.indexOf(g),b=0;b<R.length;b++){var l=s.name+"_"+D+"_"+b;r[l]=R[b]}}for(var k=[],W=[],a=0;a<this.outputLayers.length;a++){var s=this.outputLayers[a],D=this.outputLayersNodeIndices[a],L=this.outputLayersTensorIndices[a],l=s.name+"_"+D+"_"+L;W.push(l)}for(var a=0;a<W.length;a++){var F=W[a];Bn(F in r),k.push(r[F])}return Ht(k)},t.prototype.runInternalGraph=function(e,i){i==null&&(i=ar(null,e.length));for(var r={},a=0;a<this.inputs.length;++a){var s=this.inputs[a],o=e[a],l=i[a];r[s.id]=[o,l]}for(var u=Object.keys(this.nodesByDepth).map(function(ee){return parseInt(ee,10)}).sort(So),c=0,h=u;c<h.length;c++)for(var d=h[c],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){for(var g=m[f],v=g.outboundLayer,b=g.inputTensors,w=g.outputTensors,S=new Array,L=0,N=b;L<N.length;L++){var s=N[L];s.id in r&&S.push(r[s.id])}if(S.length===b.length){var C={},R=void 0,D=void 0,k=void 0,W=void 0;if(g.callArgs!=null&&(C=g.callArgs),S.length===1){var F=S[0],P=F[0],H=F[1];C.mask==null&&(C.mask=H),k=Xe(v.call(P,C)),W=Xe(v.computeMask(P,H)),R=[P],D=[H]}else R=S.map(function(ee){return ee[0]}),D=S.map(function(ee){return ee[1]}),C.mask==null&&(C.mask=D),k=Xe(v.call(R,C)),W=Xe(v.computeMask(R,D));if(v.activityRegularizer)throw new Te("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var a=0;a<w.length;++a){var s=w[a],o=k[a],l=W[a];r[s.id]=[o,l]}}}for(var _=[],K=[],j=[],q=0,G=this.outputs;q<G.length;q++){var s=G[q];Bn(s.id in r,"Could not compute output "+s.name+" : "+s.id);var Z=r[s.id],X=Z[0],l=Z[1];j.push(X.shape),_.push(X),K.push(l)}return[_,K,j]},t.prototype.buildNodeConversionMap=function(e){for(var i={},r,a=0,s=this.layers;a<s.length;a++){var o=s[a];r=o instanceof t?1:0;for(var l=0;l<o.inboundNodes.length;l++){var u=t.nodeKey(o,l);this.containerNodes.has(u)&&(i[u]=r,r+=1)}}return i},t.prototype.getLayer=function(e,i){if(i!=null){if(this.layers.length<=i)throw new M("Was asked to retrieve layer at index "+i+", but model only "+("has "+this.layers.length+" layer(s)."));return this.layers[i]}else if(e==null)throw new M("Provide either a layer name or layer index");for(var r=0,a=this.layers;r<a.length;r++){var s=a[r];if(s.name===e)return s}throw new M("No such layer: "+e)},t.prototype.calculateLosses=function(){var e=this;return y.tidy(function(){for(var i=[],r=0,a=e.layers;r<a.length;r++)for(var s=a[r],o=0;o<s.inboundNodes.length;++o){var l=t.nodeKey(s,o);e.containerNodes.has(l)&&i.push.apply(i,s.calculateLosses())}return i})},t.prototype.getConfig=function(){for(var e={name:this.name},i=this.buildNodeConversionMap(this.layers),r=[],a=0,s=this.layers;a<s.length;a++){for(var o=s[a],l=o.getClassName(),u=o.getConfig(),c=[],h=0;h<o.inboundNodes.length;h++){var d=o.inboundNodes[h],p=t.nodeKey(o,h),f={};if(this.containerNodes.has(p)){if(d.callArgs)try{JSON.stringify(d.callArgs),f=d.callArgs}catch(D){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+(d.callArgs+". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(d.inboundLayers.length>0){for(var m=[],g=0;g<d.inboundLayers.length;g++){var v=d.inboundLayers[g],b=d.nodeIndices[g],w=d.tensorIndices[g],S=t.nodeKey(v,b),L=i[S];L==null&&(L=0),m.push([v.name,L,w,f])}c.push(m)}}}var N={};N.name=o.name,N.className=l,N.config=u,N.inboundNodes=c,r.push(N)}e.layers=r;for(var C=[],g=0;g<this.inputLayers.length;g++){var o=this.inputLayers[g],b=this.inputLayersNodeIndices[g],p=t.nodeKey(o,b);if(!this.containerNodes.has(p))continue;var L=i[p];L==null&&(L=0);var w=this.inputLayersTensorIndices[g];C.push([o.name,L,w])}e.inputLayers=C;for(var R=[],g=0;g<this.outputLayers.length;g++){var o=this.outputLayers[g],b=this.outputLayersNodeIndices[g],p=t.nodeKey(o,b);if(!this.containerNodes.has(p))continue;var L=i[p];L==null&&(L=0);var w=this.outputLayersTensorIndices[g];R.push([o.name,L,w])}return e.outputLayers=R,e},t.fromConfig=function(e,i,r,a){a===void 0&&(a=!1);var s={},o={};function l(G,Z){G.name in o?o[G.name].push(Z):o[G.name]=[Z]}function u(G,Z){for(var X=[],ee,ne=0,ie=Z;ne<ie.length;ne++){var te=ie[ne],re=te[0],le=te[1],he=te[2];if(ee=te[3]==null?{}:te[3],!(re in s)){l(G,Z);return}var ye=s[re];if(ye.inboundNodes.length<=le){l(G,Z);return}var Oe=ye.inboundNodes[le];X.push(Oe.outputTensors[he])}X.length>0&&G.apply(Ht(X),ee)}function c(G){var Z=G.name,X=Sn(G,i.customObjects!=null?i.customObjects:{});X.setFastWeightInitDuringBuild(a),s[Z]=X;var ee=G.inboundNodes;ee.forEach(function(ne){if(!(ne instanceof Array))throw new M("Corrupted configuration, expected array for nodeData: "+ne);l(X,ne)})}for(var h=i.name,d=i.layers,p=0,f=d;p<f.length;p++){var m=f[p];c(m)}for(;!zk(o);)for(var g=0,v=d;g<v.length;g++){var m=v[g],b=s[m.name];if(b.name in o){var w=o[b.name];delete o[b.name];for(var S=0,L=w;S<L.length;S++){var N=L[S];u(b,N)}}}for(var C=[],R=[],D=i.inputLayers,k=0,W=D;k<W.length;k++){var m=W[k],F=m[0],P=m[1],H=m[2];Bn(F in s);var b=s[F],_=b.inboundNodes[P].outputTensors;C.push(_[H])}for(var K=i.outputLayers,j=0,q=K;j<q.length;j++){var m=q[j],F=m[0],P=m[1],H=m[2];Bn(F in s);var b=s[F],_=b.inboundNodes[P].outputTensors;R.push(_[H])}return new e({inputs:C,outputs:R,name:h})},Object.defineProperty(t.prototype,"stateful",{get:function(){if(this._stateful)throw new M("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e=0,i=this.layers;e<i.length;e++){var r=i[e];if(r.stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;y.tidy(function(){e.layers.forEach(function(i){i.stateful&&i.resetStates()})})},t}(De);function u4(n,t,e){var i=t.length;if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(a){return null});if(i===1)return Array.isArray(n)&&n.length===1?n:typeof n=="object"&&t[0]in n?[n[t[0]]]:[n];if(Array.isArray(n)){if(n.length!==i)throw new Error("Provided "+e+" is an array of "+n.length+" "+("element(s), but the model has "+i+" outputs. ")+"Make sure a set of weights is provided for each model output.");return n}else if(typeof n=="object"&&Object.keys(n).length>0&&typeof n[Object.keys(n)[0]]=="object"){var r=[];return t.forEach(function(a){a in n?r.push(n[a]):r.push(null)}),r}else throw new Error("The model has multiple ("+i+") outputs, "+("so "+e+" must be either an array with ")+(i+" elements or an object with "+t+" keys. ")+("Provided "+e+" not understood: "+JSON.stringify(n)))}function Jy(n,t){return u4(n,t,"classWeight")}function Zy(n,t,e,i){return Se(this,void 0,void 0,function(){var r,a,s,o,l;return ve(this,function(u){switch(u.label){case 0:if(t!=null||i!=null)throw new Error("Support sampleWeight is not implemented yet");return e!=null?(r=y.tidy(function(){if(n.shape.length===1)return n.clone();if(n.shape.length===2)if(n.shape[1]>1){var c=1;return n.argMax(c)}else{if(n.shape[1]===1)return n.reshape([n.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+n.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}else throw new Error("Unexpected rank of target (y) tensor ("+n.rank+") during handling of class weights. The rank is expected to be 1 or 2.")}),o=(s=Array).from,[4,r.data()]):[3,2];case 1:return a=o.apply(s,[u.sent()]),y.dispose(r),l=[],a.forEach(function(c){if(e[c]==null)throw new Error("classWeight must contain all classes in the training data. "+("The class "+c+" exists in the data but not in ")+"classWeight");l.push(e[c])}),[2,y.tensor1d(l,"float32")];case 2:return[2,null]}})})}function c4(n,t){return y.mul(n,t)}var h4=32;function eb(n,t){var e,i,r=t;e=r.xs,i=r.ys,y.util.assert(e!=null&&i!=null,function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+(""+t)});var a=Qy("input",n.inputNames,e),s=Qy("output",n.outputNames,i),o=a[0].shape[0];y.util.assert(a.length===n.inputs.length,function(){return"LayersModel has "+n.inputs.length+" inputs, but the dataset "+("provides "+a.length+" inputs.  (Expected input keys: ")+(JSON.stringify(n.inputNames)+")")}),y.util.assert(s.length===n.outputs.length,function(){return"LayersModel has "+n.outputs.length+" outputs, but the dataset "+("provides "+s.length+" outputs.  (Expected output keys: ")+(JSON.stringify(n.outputNames)+")")});for(var l=function(d){y.util.assert(a[d].shape[0]===o,function(){return"Batch size mismatch: input "+(n.inputNames[d]+" has "+a[d].shape[0]+"; ")+("expected  "+o+" based on input "+n.inputNames[0]+".")})},u=0;u<a.length;u++)l(u);for(var c=function(d){y.util.assert(s[d].shape[0]===o,function(){return"Batch size mismatch: output "+(n.outputNames[d]+" has "+s[d].shape[0]+"; ")+("expected  "+o+" based on input "+n.inputNames[0]+".")})},h=0;h<s.length;h++)c(h);return{xs:a,ys:s}}function Qy(n,t,e){if(e instanceof y.Tensor)return[e];if(Array.isArray(e))return y.util.assert(e.length===t.length,function(){return"Received an array of "+e.length+" Tensors, but expected "+t.length+" to match the "+n+" keys "+t+"."}),e;for(var i=[],r=0,a=t;r<a.length;r++){var s=a[r];if(e[s]==null)throw new M("The feature data generated by the dataset lacks the required "+(n+" key '"+s+"'."));i.push(e[s])}return i}function d4(n){if(n.length===3)throw new Te("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}function f4(n,t,e){return Se(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,N,C,R,D,k,W,F,P,H,_,K,F,j,q,G,Z,F;return ve(this,function(X){switch(X.label){case 0:if(i=e.batchesPerEpoch!=null,y.util.assert(n.optimizer!=null,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),y.util.assert(e!=null,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),y.util.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive "+("integer, but got "+e.epochs)}),y.util.assert(!i||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+("positive integer if specified, but got "+e.batchesPerEpoch)}),y.util.assert(e.validationSplit==null,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,X.label=1;case 1:return X.trys.push([1,,26,27]),r=e.validationData!=null,a=void 0,s=void 0,r&&(tb(e.validationData)?y.util.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.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 "+e.validationBatches)}):(o=d4(e.validationData),a=o.xs,s=o.ys)),l=n.makeTrainFunction(),u=n.getDedupedMetricsNames(),c=void 0,r?c=u.slice().concat(u.map(function(ee){return"val_"+ee})):c=u.slice(),h=zy(e.callbacks,e.yieldEvery),d=e.verbose==null?1:e.verbose,p=_y(h,d,e.epochs,null,null,p4(t,e),null,r,c),f=p.callbackList,m=p.history,f.setModel(n),n.history=m,[4,f.onTrainBegin()];case 2:return X.sent(),n.stopTraining_=!1,g=e.initialEpoch==null?0:e.initialEpoch,[4,t.iterator()];case 3:v=X.sent(),X.label=4;case 4:return g<e.epochs?(b={},[4,f.onEpochBegin(g)]):[3,23];case 5:return X.sent(),w=0,S=0,i?[3,7]:[4,t.iterator()];case 6:v=X.sent(),X.label=7;case 7:return(i?w<e.batchesPerEpoch:!0)?[4,v.next()]:[3,21];case 8:return L=X.sent(),i&&L.done?(console.warn("You provided `batchesPerEpoch` as "+(e.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(w+" batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+(e.batchesPerEpoch*e.epochs+" batches). ")+"You may need to use the repeat() function when building your dataset."),[3,21]):L.value!=null?(N=eb(n,L.value),C=N.xs,R=N.ys,D={},D.batch=S,D.size=C[0].shape[0],[4,f.onBatchBegin(S,D)]):[3,15];case 9:if(X.sent(),k=[],!(e.classWeight!=null))return[3,13];W=Jy(e.classWeight,n.outputNames),F=0,X.label=10;case 10:return F<W.length?(H=(P=k).push,[4,Zy(R[F],null,W[F])]):[3,13];case 11:H.apply(P,[X.sent()]),X.label=12;case 12:return++F,[3,10];case 13:for(_=C.concat(R).concat(k),K=l(_),y.dispose(_),F=0;F<u.length;++F)j=u[F],q=K[F],D[j]=q,y.keep(q);return[4,f.onBatchEnd(S,D)];case 14:X.sent(),ky(D),S++,w++,X.label=15;case 15:return(i?w>=e.batchesPerEpoch:L.done)?r?(G=void 0,tb(e.validationData)?(Z=Xe,[4,n.evaluateDataset(e.validationData,{batches:e.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return G=Z.apply(void 0,[X.sent()]),[3,18];case 17:G=Xe(n.evaluate(a,s,{batchSize:e.validationBatchSize==null?h4:e.validationBatchSize,verbose:0})),X.label=18;case 18:for(F=0;F<n.metricsNames.length;++F)b["val_"+n.metricsNames[F]]=G[F];X.label=19;case 19:return[3,21];case 20:return n.stopTraining_?[3,21]:[3,7];case 21:return[4,f.onEpochEnd(g,b)];case 22:return X.sent(),g++,n.stopTraining_?[3,23]:[3,4];case 23:return[4,f.onTrainEnd()];case 24:return X.sent(),[4,n.history.syncData()];case 25:return X.sent(),[2,n.history];case 26:return n.isTraining=!1,[7];case 27:return[2]}})})}function p4(n,t){var e=null;return t.batchesPerEpoch!=null?e=t.batchesPerEpoch:Number.isFinite(n.size)&&(e=n.size),e}function tb(n){return typeof n.iterator=="function"}function m4(n){return typeof n.next=="function"}function g4(n,t,e){return Se(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p;return ve(this,function(f){switch(f.label){case 0:if(e=e||{},i=e.batches!=null,r=n.testFunction,a=[],e.verbose>0)throw new Te("Verbose mode is not implemented yet.");return y.util.assert(!i||e.batches>0&&Number.isInteger(e.batches),function(){return"Test loop expects `batches` to be a positive integer, but "+("received "+JSON.stringify(e.batches))}),m4(t)?(o=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:o=f.sent(),f.label=3;case 3:s=o,l=0,u=0,c=function(){var m;return ve(this,function(g){switch(g.label){case 0:return[4,s.next()];case 1:return m=g.sent(),a=y.tidy(function(){if(m.value){var v=eb(n,m.value),b=v.xs,w=v.ys,S=b.concat(w),L=y.tidy(function(){return r(S)});if(y.dispose(S),u===0)for(var N=0;N<L.length;++N)a.push(y.scalar(0));for(var C=S[0].shape[0],R=function(D){var k=L[D],W=a[D];a[D]=y.tidy(function(){return y.add(a[D],y.mul(C,k))}),u>0&&y.dispose(W)},N=0;N<L.length;++N)R(N);y.dispose(L),l+=C,++u}return a}),m.done?(i&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+e.batches+" batches). 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Need data for each key in: '+(""+t));o.push(n[c])}}else if(ud(n)){if(n=n,n.length!==t.length)throw new M("Error when checking model "+r+": the Array of Tensors that you are passing to your model is not the size the "+("model expected. Expected to see "+t.length+" Tensor(s), but ")+("instead got the following list of Tensor(s): "+n));o=n}else{if(n=n,t.length>1)throw new M("The model "+r+" expects "+t.length+" Tensor(s), "+("but only received one Tensor. 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We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+l+" during training")),r.push(Zh(e.loss[l]))}}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new M("When passing an Array as loss, it should have one entry per "+("model output. The model has "+this.outputs.length+" output(s), ")+("but you passed loss="+e.loss+"."));var u=e.loss;r=u.map(function(v){return Zh(v)})}else{var c=Zh(e.loss);this.outputs.forEach(function(v){r.push(c)})}this.lossFunctions=r,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var h=0;h<this.outputs.length;++h){var d=this.internalOutputShapes[h],p=this.outputNames[h];this.feedOutputNames.push(p),this.feedOutputShapes.push(d),this.feedLossFns.push(this.lossFunctions[h])}var f=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],or("loss",function(){for(var v=0;v<i.outputs.length;++v){if(f.indexOf(v)!==-1)continue;var b=i.lossFunctions[v];i.outputs.length>1&&(i.metricsTensors.push([b,v]),i.metricsNames.push(i.outputNames[v]+"_loss"))}});var m=L4(e.metrics,this.outputNames),g=function(v,b,w){i.outputNames.length>1&&(b=i.outputNames[v]+"_"+b),i.metricsNames.push(b),i.metricsTensors.push([w,v])};or("metric",function(){for(var v=function(w){if(f.indexOf(w)!==-1)return"continue";var S=m[w],L=function(N){for(var C="",R,D,k,W=function(_){if(typeof _=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(_)!==-1){var K=i.internalOutputShapes[w];K[K.length-1]===1||i.lossFunctions[w]===Do?["accuracy","acc"].indexOf(_)!==-1?D=Qh:["crossentropy","ce"].indexOf(_)!==-1&&(D=Vy):i.lossFunctions[w]===Eo?["accuracy","acc"].indexOf(_)!==-1?D=qy:["crossentropy","ce"].indexOf(_)!==-1&&(D=Gy):["accuracy","acc"].indexOf(_)!==-1?D=ed:["crossentropy","ce"].indexOf(_)!==-1&&(D=td);var j=void 0;["accuracy","acc"].indexOf(_)!==-1?j="acc":["crossentropy","ce"].indexOf(_)!==-1&&(j="ce"),k=D,R=C+j}else{var q=J3(_);k=q,R=C+Wo(_)}var G;or(R,function(){G=k}),g(w,R,G)},F=0,P=N;F<P.length;F++){var H=P[F];W(H)}};L(S)},b=0;b<i.outputs.length;++b)v(b)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){if(this.collectedTrainableWeights==null)return;this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,i,r){r===void 0&&(r={});var a=r.batchSize==null?32:r.batchSize;sd(a);var s=!0,o=this.standardizeUserDataXY(e,i,s,a);try{var l=o[0].concat(o[1]);this.makeTestFunction();var u=this.testFunction,c=this.testLoop(u,l,a,r.verbose,r.steps);return Ht(c)}finally{cr(o[0],e),cr(o[1],i)}},t.prototype.evaluateDataset=function(e,i){return Se(this,void 0,void 0,function(){return ve(this,function(r){return this.makeTestFunction(),[2,g4(this,e,i)]})})},t.prototype.checkNumSamples=function(e,i,r,a){a===void 0&&(a="steps");var s;if(r!=null){if(s=null,i!=null)throw new M("If "+a+" is set, batchSize must be null or undefined."+("Got batchSize = "+i))}else if(e!=null)Array.isArray(e)?s=e[0].shape[0]:s=e.shape[0];else throw new M("Either the input data should have a defined shape, or "+(a+" shoud be specified."));return s},t.prototype.execute=function(e,i){if(Array.isArray(i)&&i.length===0)throw new M("`outputs` is an empty Array, which is not allowed.");var r=Array.isArray(i),a=r?i:[i],s=this.retrieveSymbolicTensors(a),o=new na;if(e instanceof y.Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new M("The number of inputs provided ("+e.length+") does not match the number of inputs of this model "+("("+this.inputs.length+")."));for(var l=0;l<this.inputs.length;++l)o.add(this.inputs[l],e[l])}else for(var u=0,c=this.inputs;u<c.length;u++){var h=c[u],d=e[h.name];if(d==null)throw new M("No value is provided for the model's input "+h.name);o.add(h,d)}var p=as(s,o);return r?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var i=ar(null,e.length),r=e.length,a=0,s=this.layers;a<s.length;a++){for(var o=s[a],l=Array.isArray(o.output)?o.output:[o.output],u=l.map(function(p){return p.name}),c=0;c<e.length;++c){var h=u.indexOf(e[c]);if(h!==-1&&(i[c]=l[h],r--),r===0)break}if(r===0)break}if(r>0){var d=[];throw i.forEach(function(p,f){p==null&&d.push(e[f])}),new M("Cannot find SymbolicTensors for output name(s): "+(""+JSON.stringify(d)))}return i},t.prototype.predictLoop=function(e,i,r){var a=this;return i===void 0&&(i=32),r===void 0&&(r=!1),y.tidy(function(){var s=a.checkNumSamples(e);if(r)throw new Te("Verbose predictLoop() is not implemented yet.");for(var o=ld(s,i),l=a.outputs.map(function(h){return[]}),u=function(h){var d=y.tidy(function(){var p=o[h][0],f=o[h][1],m=ss(e,p,f),g=[];if(Array.isArray(m))for(var v=0;v<m.length;++v)g.push({key:a.inputs[v],value:m[v]});else g.push({key:a.inputs[0],value:m});var b=new na(g);return as(a.outputs,b)});d.forEach(function(p,f){return l[f].push(p)})},c=0;c<o.length;++c)u(c);return Ht(l.map(function(h){return y.concat(h,0)}))})},t.prototype.predict=function(e,i){i===void 0&&(i={});var r=nb(e);ab(r,this.inputNames,this.feedInputShapes,!1);try{var a=i.batchSize==null?32:i.batchSize;return sd(a),this.predictLoop(r,a)}finally{cr(r,e)}},t.prototype.predictOnBatch=function(e){ab(e,this.inputNames,this.feedInputShapes,!0);var i=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,i)},t.prototype.standardizeUserDataXY=function(e,i,r,a){if(this.optimizer_==null)throw new Un("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var s=[],o=0;o<this.feedOutputShapes.length;++o){var l=this.feedOutputShapes[o],u=this.feedLossFns[o];u===Eo?s.push(l.slice(0,l.length-1).concat([1])):s.push(l)}if(e=rb(e,this.feedInputNames,this.feedInputShapes,!1,"input"),i=rb(i,this.feedOutputNames,s,!1,"target"),w4(e,i),S4(i,this.feedLossFns,this.feedOutputShapes),this.stateful&&a!=null&&a>0&&e[0].shape[0]%a!==0)throw new M("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(a+". Found: "+e[0].shape[0]+" sample(s)."));return[e,i]},t.prototype.standardizeUserData=function(e,i,r,a,s,o){return s===void 0&&(s=!0),Se(this,void 0,void 0,function(){var l,u,c,h,d,p,f,m;return ve(this,function(g){switch(g.label){case 0:if(l=this.standardizeUserDataXY(e,i,s,o),u=l[0],c=l[1],r!=null)throw new Error("sample weight is not supported yet.");if(h=null,!(a!=null))return[3,4];d=Jy(a,this.outputNames),h=[],p=0,g.label=1;case 1:return p<d.length?(m=(f=h).push,[4,Zy(c[p],null,d[p])]):[3,4];case 2:m.apply(f,[g.sent()]),g.label=3;case 3:return++p,[3,1];case 4:return[2,[u,c,h]]}})})},t.prototype.testLoop=function(e,i,r,a,s){var o=this;return a===void 0&&(a=0),y.tidy(function(){var l=o.checkNumSamples(i,r,s,"steps"),u=[];if(a>0)throw new Te("Verbose mode is not implemented yet.");if(s!=null)throw new Te("steps mode in testLoop() is not implemented yet");for(var c=ld(l,r),h=y.tensor1d(bn(0,l)),d=0;d<c.length;++d){var p=c[d][0],f=c[d][1],m=lr(h,p,f-p),g=od(i,m),v=e(g);if(d===0)for(var b=0;b<v.length;++b)u.push(y.scalar(0));for(var b=0;b<v.length;++b){var w=v[b];u[b]=y.add(u[b],y.mul(f-p,w))}}for(var b=0;b<u.length;++b)u[b]=y.div(u[b],l);return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,i=[],r=0;r<e.length;++r){var a=e[r],s=a;if(ty(e,a)>1){var o=ty(e.slice(0,r),a);s+="_"+o}i.push(s)}return i},t.prototype.makeTrainFunction=function(){var e=this;return function(i){var r=[],a=i.slice(0,e.inputs.length),s=i.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=i.slice(e.inputs.length+e.outputs.length,e.inputs.length+e.outputs.length*2),l=[],u=function(){for(var p=[],f=0;f<e.inputs.length;++f)p.push({key:e.inputs[f],value:a[f]});for(var m=new na(p),g=as(e.outputs,m,{training:!0}),v,f=0;f<e.lossFunctions.length;++f){var b=e.lossFunctions[f],w=b(s[f],g[f]);o[f]!=null&&(w=c4(w,o[f]));var S=y.mean(w);r.push(S),f===0?v=w:v=y.add(v,w)}for(var f=0;f<e.metricsTensors.length;++f){var L=void 0;if(e.outputs.length>1&&f<e.outputs.length)L=r[f];else{var N=e.metricsTensors[f][0],C=e.metricsTensors[f][1];L=y.mean(N(s[C],g[C]))}y.keep(L),l.push(L)}return v=y.mean(v),e.calculateLosses().forEach(function(R){v=y.add(v,R)}),v},c=e.collectedTrainableWeights.map(function(p){return p.read()}),h=!0,d=e.optimizer_.minimize(u,h,c);return[d].concat(l)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(i){return y.tidy(function(){for(var r=[],a,s=i.slice(0,e.inputs.length),o=i.slice(e.inputs.length,e.inputs.length+e.outputs.length),l=[],u=0;u<e.inputs.length;++u)l.push({key:e.inputs[u],value:s[u]});for(var c=new na(l),h=as(e.outputs,c),u=0;u<e.lossFunctions.length;++u){var d=e.lossFunctions[u],p=y.mean(d(o[u],h[u]));u===0?a=p:a=y.add(a,p),r.push(a)}for(var u=0;u<e.metricsTensors.length;++u){var f=e.metricsTensors[u][0],m=e.metricsTensors[u][1],g=y.mean(f(o[m],h[m]));r.push(g)}return r})}},t.prototype.fit=function(e,i,r){return r===void 0&&(r={}),Se(this,void 0,void 0,function(){return ve(this,function(a){return[2,y4(this,e,i,r)]})})},t.prototype.fitDataset=function(e,i){return Se(this,void 0,void 0,function(){return ve(this,function(r){return[2,f4(this,e,i)]})})},t.prototype.trainOnBatch=function(e,i){return Se(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p;return ve(this,function(f){switch(f.label){case 0:return[4,this.standardizeUserData(e,i)];case 1:r=f.sent(),a=r[0],s=r[1],o=this.makeTrainFunction(),l=o(a.concat(s)),u=[],c=0,h=l,f.label=2;case 2:return c<h.length?(d=h[c],[4,d.data()]):[3,5];case 3:p=f.sent(),u.push(p[0]),f.label=4;case 4:return c++,[3,2];case 5:return y.dispose(l),[2,Ht(u)]}})})},t.prototype.getNamedWeights=function(e){for(var i=[],r=e!=null&&e.trainableOnly,a=r?this.trainableWeights:this.weights,s=this.getWeights(r),o=0;o<a.length;++o){if(r&&!a[o].trainable)continue;i.push({name:a[o].originalName,tensor:s[o]})}return i},Object.defineProperty(t.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var e=n.prototype.dispose.call(this);if(e.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){var i=y.memory().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=i-y.memory().numTensors}return e},t.prototype.getLossIdentifiers=function(){var e;if(typeof this.loss=="string")e=ni(this.loss);else if(Array.isArray(this.loss)){for(var i=0,r=this.loss;i<r.length;i++){var a=r[i];if(typeof a!="string")throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map(function(h){return ni(h)})}else{var s=Object.keys(this.loss);e={};for(var o=this.loss,l=0,u=s;l<u.length;l++){var c=u[l];if(typeof o[c]=="string")e[c]=ni(o[c]);else throw new Error("Serialization of non-string loss is not supported.")}}return e},t.prototype.getMetricIdentifiers=function(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[ni(Wo(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(r){return ni(Wo(r))});var e={};for(var i in this.metrics)e[i]=ni(Wo(this.metrics[i]));return e},t.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},t.prototype.loadTrainingConfig=function(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");var i=rs(e.optimizer_config),r=Sn(i),a;if(typeof e.loss=="string")a=sr(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(function(l){return sr(l)});else if(e.loss!=null){a={};for(var s in e.loss)a[s]=sr(e.loss[s])}var o;if(Array.isArray(e.metrics))o=e.metrics.map(function(l){return sr(l)});else if(e.metrics!=null){o={};for(var s in e.metrics)o[s]=sr(e.metrics[s])}this.compile({loss:a,metrics:o,optimizer:r})},t.prototype.save=function(e,i){return Se(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p,f,m,g,v,b;return ve(this,function(w){switch(w.label){case 0:if(typeof e=="string"){if(r=y.io.getSaveHandlers(e),r.length===0)throw new M("Cannot find any save handlers for URL '"+e+"'");if(r.length>1)throw new M("Found more than one ("+r.length+") save handlers for "+("URL '"+e+"'"));e=r[0]}if(e.save==null)throw new M("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,y.io.encodeWeights(this.getNamedWeights(i))];case 1:return a=w.sent(),s=!1,o=null,l=this.toJSON(o,s),u={modelTopology:l,format:I4,generatedBy:"TensorFlow.js tfjs-layers v"+rd,convertedBy:null},c=i==null?!1:i.includeOptimizer,c&&this.optimizer!=null?(u.trainingConfig=this.getTrainingConfig(),h="optimizer",g=(m=y.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,g.apply(m,[w.sent(),h])];case 3:d=w.sent(),p=d.data,f=d.specs,(b=a.specs).push.apply(b,f),a.data=y.io.concatenateArrayBuffers([a.data,p]),w.label=4;case 4:return this.userDefinedMetadata!=null&&(v=!0,Ky(this.userDefinedMetadata,this.name,v),u.userDefinedMetadata=this.userDefinedMetadata),u.weightData=a.data,u.weightSpecs=a.specs,[2,e.save(u)]}})})},t.prototype.setUserDefinedMetadata=function(e){Ky(e,this.name),this.userDefinedMetadata=e},t.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},t.className="Model",t}(l4);y.serialization.registerClass(Ni);var A4=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.className="Functional",t}(Ni);y.serialization.registerClass(A4);function T4(n,t){return Se(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u;return ve(this,function(c){switch(c.label){case 0:return"modelTopology"in n||(n={modelTopology:n}),n=n,e=n.modelTopology,e.model_config!=null&&(e=e.model_config),i=rs(e),r=Sn(i,t),n.weightsManifest!=null?[4,y.io.loadWeights(n.weightsManifest,n.pathPrefix,r.weights.map(function(h){return h.originalName}))]:[3,2];case 1:for(a=c.sent(),s={},o=0,l=r.weights;o<l.length;o++)u=l[o],s[u.originalName]=a[u.originalName];r.loadWeights(s),y.dispose(a),c.label=2;case 2:return[2,r]}})})}function x4(n,t){return Se(this,void 0,void 0,function(){var e;return ve(this,function(i){if(t==null&&(t={}),typeof n=="string"){if(e=y.io.getLoadHandlers(n,t),e.length===0)e.push(y.io.browserHTTPRequest(n,t));else if(e.length>1)throw new M("Found more than one ("+e.length+") load handlers for "+("URL 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Therefore loading of weights cannot proceed.");return u=C4(i.weightData,i.weightSpecs),c=u.modelWeights,h=u.optimizerWeights,o.loadWeights(c,a),o.optimizer!=null&&h.length>0?[4,o.optimizer.setWeights(h)]:[3,3];case 2:d.sent(),d.label=3;case 3:y.dispose(c),y.dispose(h.map(function(p){return p.tensor})),d.label=4;case 4:return[2,o]}})})}function C4(n,t){var e=y.io.decodeWeights(n,t),i={},r=[];return t.forEach(function(a){a.group==="optimizer"?r.push({name:a.name,tensor:e[a.name]}):i[a.name]=e[a.name]}),{modelWeights:i,optimizerWeights:r}}var cd=function(n){Q(t,n);function t(e){var i=n.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},i.trainable=!0,i.built=!1,i.name=e.name!=null?e.name:To("sequential_"),e.layers!=null)for(var r=0,a=e.layers;r<a.length;r++){var s=a[r];i.add(s)}return i}return t.prototype.checkShape=function(e){var i=e.inboundNodes[0].outputTensors[0].shape;if(i.some(function(r){return r<0}))throw new M("Negative dimension size caused by adding layer "+(e.name+" with input shape [")+(e.inboundNodes[0].inputTensors[0].shape+"]"))},t.prototype.add=function(e){var i=e instanceof t||e instanceof Ni,r;if(i){if(r=e,r.outputs.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(r.inputs.length!==1)throw new M("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new M("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=Dy({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(i)this.outputs=r.outputs,this.inputs=r.inputs;else{if(e.inboundNodes.length!==1)throw new M("A layer added to a Sequential model must not already be "+("connected somewhere else. LayersModel received layer "+e.name+" ")+("which has "+e.inboundNodes.length+" pre-existing inbound ")+"connections.");if(e.inboundNodes[0].outputTensors.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=Ey(this.outputs[0])}this.inboundNodes=[],new Co({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:ar(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(o){return o.shape}),outputShapes:this.outputs[0].shape})}else{var s=e.apply(this.outputs[0]);if(Array.isArray(s))throw new TypeError("All layers in a Sequential model should have a single output tensor. 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single number for 1D convolution, but received "+(""+JSON.stringify(r.dilationRate)));if(r.rank===2){if(typeof r.dilationRate=="number")r.dilationRate=[r.dilationRate,r.dilationRate];else if(r.dilationRate.length!==2)throw new M("dilationRate must be a number or array of two numbers for 2D "+("convolution, but received "+JSON.stringify(r.dilationRate)))}else if(r.rank===3){if(typeof r.dilationRate=="number")r.dilationRate=[r.dilationRate,r.dilationRate,r.dilationRate];else if(r.dilationRate.length!==3)throw new M("dilationRate must be a number or array of three numbers for 3D "+("convolution, but received "+JSON.stringify(r.dilationRate)))}return r}return t.verifyArgs=function(e){if(Bn("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Wh(e.kernelSize,"number",1,3))throw new M("BaseConv expects config.kernelSize to be number or number[] with "+("length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+"."))},t.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:xi(this.activation),useBias:this.useBias,biasInitializer:at(this.biasInitializer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),biasConstraint:yt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),Po=function(n){Q(t,n);function t(e,i){var r=n.call(this,e,i)||this;return r.kernel=null,t.verifyArgs(i),r.filters=i.filters,At(r.filters,"filters"),r.kernelInitializer=et(i.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.kernelConstraint=bt(i.kernelConstraint),r.kernelRegularizer=tt(i.kernelRegularizer),r}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[r]));var a=e[r],s=this.kernelSize.concat([a,this.filters]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(i={},i[r]=a,i)}],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a,s=r.bias==null?null:r.bias.read(),o=iy(r.activation.getClassName());if(o!=null&&r.rank===2)a=yb(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate,o);else{if(r.rank===1)a=K4(e,r.kernel.read(),s,r.strides[0],r.padding,r.dataFormat,r.dilationRate[0]);else if(r.rank===2)a=yb(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate);else if(r.rank===3)a=j4(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate);else throw new Te("convolutions greater than 3D are not implemented yet.");r.activation!=null&&(a=r.activation.apply(a))}return a})},t.prototype.computeOutputShape=function(e){e=Ye(e);for(var i=[],r=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2),a=0;a<r.length;++a){var s=Ln(r[a],this.kernelSize[a],this.padding,this.strides[a],typeof this.dilationRate=="number"?this.dilationRate:this.dilationRate[a]);i.push(s)}var o=[e[0]];return this.dataFormat==="channelsLast"?(o=o.concat(i),o.push(this.filters)):(o.push(this.filters),o=o.concat(i)),o},t.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:at(this.kernelInitializer),kernelRegularizer:Ke(this.kernelRegularizer),kernelConstraint:yt(this.kernelConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.verifyArgs=function(e){if(!("filters"in e)||typeof e.filters!="number"||e.filters<1)throw new M("Convolution layer expected config.filters to be a 'number' > 0 "+("but got "+JSON.stringify(e.filters)))},t}(bb),fd=function(n){Q(t,n);function t(e){var i=n.call(this,2,e)||this;return t.verifyArgs(e),i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!Wh(e.kernelSize,"number",1,2))throw new M("Conv2D expects config.kernelSize to be number or number[] with "+("length 1 or 2, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv2D",t}(Po);y.serialization.registerClass(fd);var wb=function(n){Q(t,n);function t(e){var i=n.call(this,3,e)||this;return t.verifyArgs(e),i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new M("Conv3D expects config.kernelSize to be number or"+(" [number, number, number], but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv3D",t}(Po);y.serialization.registerClass(wb);var Sb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.inputSpec=[new Tt({ndim:4})],i.padding!=="same"&&i.padding!=="valid")throw new M("Conv2DTranspose currently supports only padding modes 'same' "+("and 'valid', but received padding mode "+i.padding));return i}return t.prototype.build=function(e){var i;if(e=Ye(e),e.length!==4)throw new M("Input should have rank 4; Received input shape: "+JSON.stringify(e));var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");var a=e[r],s=this.kernelSize.concat([this.filters,a]);this.kernel=this.addWeight("kernel",s,"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 Tt({ndim:4,axes:(i={},i[r]=a,i)})],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e);if(a.shape.length!==4)throw new M("Conv2DTranspose.call() expects input tensor to be rank-4, but "+("received a tensor of rank-"+a.shape.length));var s=a.shape,o=s[0],l,u;r.dataFormat==="channelsFirst"?(l=2,u=3):(l=1,u=2);var c=s[l],h=s[u],d=r.kernelSize[0],p=r.kernelSize[1],f=r.strides[0],m=r.strides[1],g=zo(c,f,d,r.padding),v=zo(h,m,p,r.padding),b=[o,g,v,r.filters];r.dataFormat!=="channelsLast"&&(a=y.transpose(a,[0,2,3,1]));var w=y.conv2dTranspose(a,r.kernel.read(),b,r.strides,r.padding);return r.dataFormat!=="channelsLast"&&(w=y.transpose(w,[0,3,1,2])),r.bias!=null&&(w=Pn(w,r.bias.read(),r.dataFormat)),r.activation!=null&&(w=r.activation.apply(w)),w})},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=e.slice(),r,a,s;this.dataFormat==="channelsFirst"?(r=1,a=2,s=3):(r=3,a=1,s=2);var o=this.kernelSize[0],l=this.kernelSize[1],u=this.strides[0],c=this.strides[1];return i[r]=this.filters,i[a]=zo(i[a],u,o,this.padding),i[s]=zo(i[s],c,l,this.padding),i},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.dilationRate,e},t.className="Conv2DTranspose",t}(fd);y.serialization.registerClass(Sb);var $4=function(n){Q(t,n);function t(e,i){var r=n.call(this,e,i)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,i.filters==null)throw new M("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(i.kernelInitializer!=null||i.kernelRegularizer!=null||i.kernelConstraint!=null)throw new M("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(i.padding!=null&&i.padding!=="same"&&i.padding!=="valid")throw new M("SeparableConv"+r.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(i.padding)));return r.depthMultiplier=i.depthMultiplier==null?1:i.depthMultiplier,r.depthwiseInitializer=et(i.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=tt(i.depthwiseRegularizer),r.depthwiseConstraint=bt(i.depthwiseConstraint),r.pointwiseInitializer=et(i.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=tt(i.pointwiseRegularizer),r.pointwiseConstraint=bt(i.pointwiseConstraint),r}return t.prototype.build=function(e){var i;if(e=Ye(e),e.length<this.rank+2)throw new M("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2+", but received input shape: ")+(""+JSON.stringify(e)));var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null||e[r]<0)throw new M("The channel dimension of the inputs should be defined, "+("but found "+JSON.stringify(e[r])));for(var a=e[r],s=this.kernelSize.concat([a,this.depthMultiplier]),o=[],l=0;l<this.rank;++l)o.push(1);o.push(a*this.depthMultiplier,this.filters);var u=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",s,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,u,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,u,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,u,this.biasConstraint):this.bias=null,this.inputSpec=[new Tt({ndim:this.rank+2,axes:(i={},i[r]=a,i)})],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a;if(r.rank===1)throw new Te("1D separable convolution is not implemented yet.");return r.rank===2&&(r.dataFormat==="channelsFirst"&&(e=y.transpose(e,[0,2,3,1])),a=y.separableConv2d(e,r.depthwiseKernel.read(),r.pointwiseKernel.read(),r.strides,r.padding,r.dilationRate,"NHWC")),r.useBias&&(a=Pn(a,r.bias.read(),r.dataFormat)),r.activation!=null&&(a=r.activation.apply(a)),r.dataFormat==="channelsFirst"&&(a=y.transpose(a,[0,3,1,2])),a})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=at(this.depthwiseInitializer),e.pointwiseInitializer=at(this.pointwiseInitializer),e.depthwiseRegularizer=Ke(this.depthwiseRegularizer),e.pointwiseRegularizer=Ke(this.pointwiseRegularizer),e.depthwiseConstraint=yt(this.depthwiseConstraint),e.pointwiseConstraint=yt(this.pointwiseConstraint),e},t.className="SeparableConv",t}(Po),Lb=function(n){Q(t,n);function t(e){return n.call(this,2,e)||this}return t.className="SeparableConv2D",t}($4);y.serialization.registerClass(Lb);var Ib=function(n){Q(t,n);function t(e){var i=n.call(this,1,e)||this;return t.verifyArgs(e),i.inputSpec=[{ndim:3}],i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!Wh(e.kernelSize,"number",1,1))throw new M("Conv1D expects config.kernelSize to be number or number[] with "+("length 1, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv1D",t}(Po);y.serialization.registerClass(Ib);var Ab=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return typeof e.cropping=="number"?i.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?i.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:i.cropping=e.cropping,i.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,i.inputSpec=[{ndim:4}],i}return t.prototype.computeOutputShape=function(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=xe(e),r.dataFormat==="channelsLast"){var a=Lo(e,r.cropping[0][0],e.shape[1]-r.cropping[0][0]-r.cropping[0][1],2);return Lo(a,r.cropping[1][0],e.shape[2]-r.cropping[1][1]-r.cropping[1][0],3)}else{var a=Lo(e,r.cropping[0][0],e.shape[2]-r.cropping[0][0]-r.cropping[0][1],3);return Lo(a,r.cropping[1][0],e.shape[3]-r.cropping[1][1]-r.cropping[1][0],4)}})},t.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Cropping2D",t}(De);y.serialization.registerClass(Ab);var Tb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_SIZE=[2,2],i.inputSpec=[{ndim:4}],i.size=e.size==null?i.DEFAULT_SIZE:e.size,i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,i}return t.prototype.computeOutputShape=function(e){if(this.dataFormat==="channelsFirst"){var i=e[2]==null?null:this.size[0]*e[2],r=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],i,r]}else{var i=e[1]==null?null:this.size[0]*e[1],r=e[2]==null?null:this.size[1]*e[2];return[e[0],i,r,e[3]]}},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e),s=a.shape;if(r.dataFormat==="channelsFirst"){a=y.transpose(a,[0,2,3,1]);var o=r.size[0]*s[2],l=r.size[1]*s[3],u=a.resizeNearestNeighbor([o,l]);return y.transpose(u,[0,3,1,2])}else{var o=r.size[0]*s[1],l=r.size[1]*s[2];return a.resizeNearestNeighbor([o,l])}})},t.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="UpSampling2D",t}(De);y.serialization.registerClass(Tb);function X4(n,t,e,i,r,a){return e===void 0&&(e=[1,1]),i===void 0&&(i="valid"),y.tidy(function(){r==null&&(r=yn()),ct(r);var s=pd(n,r);if(n.rank!==4)throw new M("Input for depthwiseConv2d is required to be 4-D, but is instead "+(n.rank+"-D"));if(t.rank!==4)throw new M("depthwiseKernel is required to be 4-D, but is instead "+(t.rank+"-D"));return s=y.depthwiseConv2d(s,t,e,i==="same"?"same":"valid","NHWC",a),r==="channelsFirst"&&(s=y.transpose(s,[0,3,1,2])),s})}var Nb=function(n){Q(t,n);function t(e){var i=n.call(this,2,e)||this;return i.depthwiseKernel=null,i.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,i.depthwiseInitializer=et(e.depthwiseInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.depthwiseConstraint=bt(e.depthwiseConstraint),i.depthwiseRegularizer=tt(e.depthwiseRegularizer),i}return t.prototype.build=function(e){if(e=Ye(e),e.length<4)throw new M("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(e)+"."));var i=this.dataFormat==="channelsFirst"?1:3;if(e[i]==null||e[i]<0)throw new M("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+e[i]+")."));var r=e[i],a=[this.kernelSize[0],this.kernelSize[1],r,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[r*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a=X4(e,r.depthwiseKernel.read(),r.strides,r.padding,r.dataFormat,null);return r.useBias&&(a=Pn(a,r.bias.read(),r.dataFormat)),r.activation!=null&&(a=r.activation.apply(a)),a})},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=this.dataFormat==="channelsFirst"?e[2]:e[1],r=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=Ln(i,this.kernelSize[0],this.padding,this.strides[0]),o=Ln(r,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,s,o]:[e[0],s,o,a]},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=at(this.depthwiseInitializer),e.depthwiseRegularizer=Ke(this.depthwiseRegularizer),e.depthwiseConstraint=yt(this.depthwiseRegularizer),e},t.className="DepthwiseConv2D",t}(bb);y.serialization.registerClass(Nb);function xb(n,t,e,i){if(Array.isArray(n)){if(t!=null||e!=null)throw new M("When inputs is an array, neither initialState or constants should be provided");i!=null&&(e=n.slice(n.length-i,n.length),n=n.slice(0,n.length-i)),n.length>1&&(t=n.slice(1,n.length)),n=n[0]}function r(a){return a==null||Array.isArray(a)?a:[a]}return t=r(t),e=r(e),{inputs:n,initialState:t,constants:e}}function Cb(n,t,e,i,r,a,s,o){return i===void 0&&(i=!1),s===void 0&&(s=!1),o===void 0&&(o=!1),y.tidy(function(){var l=t.shape.length;if(l<3)throw new M("Input should be at least 3D, but is "+l+"D.");var u=[1,0].concat(bn(2,l));if(t=y.transpose(t,u),a!=null)throw new Te("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=r.asType("bool").asType("float32"),r.rank===l-1&&(r=y.expandDims(r,-1)),r=y.transpose(r,u)),i&&(t=y.reverse(t,0),r!=null&&(r=y.reverse(r,0)));var c=[],h,d=e,p=t.shape[0],f=y.unstack(t),m;r!=null&&(m=y.unstack(r));for(var g=function(S){var L=f[S],N=y.tidy(function(){return n(L,d)});if(r==null)h=N[0],d=N[1];else{var C=y.tidy(function(){var R=m[S],D=y.onesLike(R).sub(R),k=N[0].mul(R).add(d[0].mul(D)),W=d.map(function(F,P){return N[1][P].mul(R).add(F.mul(D))});return{output:k,newStates:W}});h=C.output,d=C.newStates}o&&c.push(h)},v=0;v<p;++v)g(v);var b;if(o){var w=1;b=y.stack(c,w)}return[h,b,d]})}var Ri=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this,r;if(e.cell==null)throw new M("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?r=new md({cells:e.cell}):r=e.cell,r.stateSize==null)throw new M("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return i.cell=r,i.returnSequences=e.returnSequences==null?!1:e.returnSequences,i.returnState=e.returnState==null?!1:e.returnState,i.goBackwards=e.goBackwards==null?!1:e.goBackwards,i._stateful=e.stateful==null?!1:e.stateful,i.unroll=e.unroll==null?!1:e.unroll,i.supportsMasking=!0,i.inputSpec=[new Tt({ndim:3})],i.stateSpec=null,i.states_=null,i.numConstants=null,i.keptStates=[],i}return t.prototype.getStates=function(){if(this.states_==null){var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return bn(0,e).map(function(i){return null})}else return this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){jh(e)&&(e=e[0]),e=e;var i=this.cell.stateSize;Array.isArray(i)||(i=[i]);var r=i[0],a;if(this.returnSequences?a=[e[0],e[1],r]:a=[e[0],r],this.returnState){for(var s=[],o=0,l=i;o<l.length;o++){var u=l[o];s.push([e[0],u])}return[a].concat(s)}else return a},t.prototype.computeMask=function(e,i){var r=this;return y.tidy(function(){Array.isArray(i)&&(i=i[0]);var a=r.returnSequences?i:null;if(r.returnState){var s=r.states.map(function(o){return null});return[a].concat(s)}else return a})},Object.defineProperty(t.prototype,"states",{get:function(){if(this.states_==null){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,i=[],r=0;r<e;++r)i.push(null);return i}else return this.states_},set:function(e){this.states_=e},enumerable:!0,configurable:!0}),t.prototype.build=function(e){if(this.numConstants!=null)throw new Te("Constants support is not implemented in RNN yet.");jh(e)&&(e=e[0]),e=e;var i=this.stateful?e[0]:null,r=e.slice(2);this.inputSpec[0]=new Tt({shape:[i,null].concat(r)});var a=[e[0]].concat(e.slice(2));this.cell.build(a);var s;if(Array.isArray(this.cell.stateSize)?s=this.cell.stateSize:s=[this.cell.stateSize],this.stateSpec!=null){if(!y.util.arraysEqual(this.stateSpec.map(function(o){return o.shape[o.shape.length-1]}),s))throw new M("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=s.map(function(o){return new Tt({shape:[null,o]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,i){var r=this;i===void 0&&(i=!1),y.tidy(function(){if(!r.stateful)throw new Si("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=r.inputSpec[0].shape[0];if(a==null)throw new M("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(r.states_==null)Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(c){return y.zeros([a,c])}):r.states_=[y.zeros([a,r.cell.stateSize])];else if(e==null)y.dispose(r.states_),r.keptStates!=null&&(y.dispose(r.keptStates),r.keptStates=[]),Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(c){return y.zeros([a,c])}):r.states_[0]=y.zeros([a,r.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==r.states_.length)throw new M("Layer "+r.name+" expects "+r.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));i===!0?r.keptStates.push(r.states_.slice()):y.dispose(r.states_);for(var s=0;s<r.states_.length;++s){var o=e[s],l=Array.isArray(r.cell.stateSize)?r.cell.stateSize[s]:r.cell.stateSize,u=[a,l];if(!y.util.arraysEqual(o.shape,u))throw new M("State "+s+" is incompatible with layer "+r.name+": "+("expected shape="+u+", received shape="+o.shape));r.states_[s]=o}}r.states_=r.states_.map(function(c){return y.keep(c.clone())})})},t.prototype.apply=function(e,i){var r=i==null?null:i.initialState,a=i==null?null:i.constants;i==null&&(i={});var s=xb(e,r,a,this.numConstants);e=s.inputs,r=s.initialState,a=s.constants;var o=[],l=[];if(r!=null){i.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,c=r;u<c.length;u++){var h=c[u];this.stateSpec.push(new Tt({shape:h.shape}))}l=l.concat(this.stateSpec)}a!=null&&(i.constants=a,o=o.concat(a),this.numConstants=a.length);var d=o[0]instanceof wn;if(d){var p=[e].concat(o),f=this.inputSpec.concat(l),m=this.inputSpec;this.inputSpec=f;var g=n.prototype.apply.call(this,p,i);return this.inputSpec=m,g}else return n.prototype.apply.call(this,e,i)},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;e=xe(e),o==null&&(r.stateful?o=r.states_:o=r.getInitialState(e));var l=Array.isArray(r.cell.stateSize)?r.cell.stateSize.length:1;if(o.length!==l)throw new M("RNN Layer has "+l+" state(s) but was passed "+(o.length+" initial state(s)."));r.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var u={training:s},c=function(g,v){var b=r.cell.call([g].concat(v),u);return[b[0],b.slice(1)]},h=Cb(c,e,o,r.goBackwards,a,null,r.unroll,r.returnSequences),d=h[0],p=h[1],f=h[2];r.stateful&&r.resetStates(f,s);var m=r.returnSequences?p:d;return r.returnState?[m].concat(f):m})},t.prototype.getInitialState=function(e){var i=this;return y.tidy(function(){var r=y.zeros(e.shape);return r=y.sum(r,[1,2]),r=Qa(r),Array.isArray(i.cell.stateSize)?i.cell.stateSize.map(function(a){return a>1?Bh(r,[1,a]):r}):i.cell.stateSize>1?[Bh(r,[1,i.cell.stateSize])]:[r]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.setFastWeightInitDuringBuild=function(e){n.prototype.setFastWeightInitDuringBuild.call(this,e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(i.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===t.className&&(i.cell={className:this.cell.getClassName(),config:r}),Yt({},r,e,i)},t.fromConfig=function(e,i,r){r===void 0&&(r={});var a=i.cell,s=Sn(a,r);return new e(Object.assign(i,{cell:s}))},t.className="RNN",t}(De);y.serialization.registerClass(Ri);var ra=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(De),gd=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",i.units=e.units,At(i.units,"units"),i.activation=Ci(e.activation==null?i.DEFAULT_ACTIVATION:e.activation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=bt(e.kernelConstraint),i.recurrentConstraint=bt(e.recurrentConstraint),i.biasConstraint=bt(e.biasConstraint),i.dropout=Qr([1,Ai([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=Qr([1,Ai([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.stateSize=i.units,i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){e=Ye(e),this.kernel=this.addWeight("kernel",[e[e.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},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=e,e.length!==2)throw new M("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var s=i.training==null?!1:i.training;0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=Oi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:s})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=Oi({ones:function(){return y.onesLike(a)},rate:r.recurrentDropout,training:s}));var o,l=r.dropoutMask,u=r.recurrentDropoutMask;l!=null?o=zn(y.mul(e,l),r.kernel.read()):o=zn(e,r.kernel.read()),r.bias!=null&&(o=Pn(o,r.bias.read())),u!=null&&(a=y.mul(a,u));var c=y.add(o,zn(a,r.recurrentKernel.read()));return r.activation!=null&&(c=r.activation.apply(c)),[c,c]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:xi(this.activation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:yt(this.kernelConstraint),recurrentConstraint:yt(this.recurrentConstraint),biasConstraint:yt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Yt({},e,i)},t.className="SimpleRNNCell",t}(ra);y.serialization.registerClass(gd);var Rb=function(n){Q(t,n);function t(e){var i=this;return e.cell=new gd(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return new e(i)},t.className="SimpleRNN",t}(Ri);y.serialization.registerClass(Rb);var vd=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new M("GRUCell does not support reset_after parameter set to true.");return i.units=e.units,At(i.units,"units"),i.activation=Ci(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=Ci(e.recurrentActivation===void 0?i.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=bt(e.kernelConstraint),i.recurrentConstraint=bt(e.recurrentConstraint),i.biasConstraint=bt(e.biasConstraint),i.dropout=Qr([1,Ai([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=Qr([1,Ai([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.implementation=e.implementation,i.stateSize=i.units,i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){e=Ye(e);var i=e[e.length-1];this.kernel=this.addWeight("kernel",[i,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},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=e,e.length!==2)throw new M("GRUCell expects 2 input Tensors (inputs, h, c), got "+(e.length+"."));var a=i.training==null?!1:i.training,s=e[1];e=e[0],0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=Oi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:3})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=Oi({ones:function(){return y.onesLike(s)},rate:r.recurrentDropout,training:a,count:3}));var o=r.dropoutMask,l=r.recurrentDropoutMask,u,c,h;0<r.dropout&&r.dropout<1&&(e=y.mul(e,o[0]));var d=zn(e,r.kernel.read());r.useBias&&(d=Pn(d,r.bias.read())),0<r.recurrentDropout&&r.recurrentDropout<1&&(s=y.mul(s,l[0]));var p=r.recurrentKernel.read(),f=y.split(p,[2*r.units,r.units],p.rank-1),m=f[0],g=f[1],v=zn(s,m),b=y.split(d,3,d.rank-1),w=b[0],S=b[1],L=b[2],N=y.split(v,2,v.rank-1),C=N[0],R=N[1];u=r.recurrentActivation.apply(y.add(w,C)),c=r.recurrentActivation.apply(y.add(S,R));var D=zn(y.mul(c,s),g);h=r.activation.apply(y.add(L,D));var k=y.add(y.mul(u,s),y.mul(y.add(1,y.neg(u)),h));return[k,k]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:xi(this.activation),recurrentActivation:xi(this.recurrentActivation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:yt(this.kernelConstraint),recurrentConstraint:yt(this.recurrentConstraint),biasConstraint:yt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Yt({},e,i)},t.className="GRUCell",t}(ra);y.serialization.registerClass(vd);var Ob=function(n){Q(t,n);function t(e){var i=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new vd(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return i.implmentation===0&&(i.implementation=1),new e(i)},t.className="GRU",t}(Ri);y.serialization.registerClass(Ob);var _o=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",i.units=e.units,At(i.units,"units"),i.activation=Ci(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=Ci(e.recurrentActivation===void 0?i.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.unitForgetBias=e.unitForgetBias,i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=bt(e.kernelConstraint),i.recurrentConstraint=bt(e.recurrentConstraint),i.biasConstraint=bt(e.biasConstraint),i.dropout=Qr([1,Ai([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=Qr([1,Ai([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.implementation=e.implementation,i.stateSize=[i.units,i.units],i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){var i;e=Ye(e);var r=e[e.length-1];this.kernel=this.addWeight("kernel",[r,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 a;if(this.useBias){if(this.unitForgetBias){var s=this.biasInitializer,o=this.units;a=new(i=function(l){Q(u,l);function u(){return l!==null&&l.apply(this,arguments)||this}return u.prototype.apply=function(c,h){var d=s.apply([o]),p=new Mh().apply([o]),f=s.apply([o*2]);return gy(gy(d,p),f)},u}(hn),i.className="CustomInit",i)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i.training==null?!1:i.training;if(e=e,e.length!==3)throw new M("LSTMCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var s=e[1],o=e[2];e=e[0],0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=Oi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:4})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=Oi({ones:function(){return y.onesLike(s)},rate:r.recurrentDropout,training:a,count:4}));var l=r.dropoutMask,u=r.recurrentDropoutMask,c,h,d,p;0<r.dropout&&r.dropout<1&&(e=y.mul(e,l[0]));var f=zn(e,r.kernel.read());0<r.recurrentDropout&&r.recurrentDropout<1&&(s=y.mul(s,u[0])),f=y.add(f,zn(s,r.recurrentKernel.read())),r.useBias&&(f=Pn(f,r.bias.read()));var m=y.split(f,4,f.rank-1),g=m[0],v=m[1],b=m[2],w=m[3];c=r.recurrentActivation.apply(g),h=r.recurrentActivation.apply(v),d=y.add(y.mul(h,o),y.mul(c,r.activation.apply(b))),p=r.recurrentActivation.apply(w);var S=y.mul(p,r.activation.apply(d));return[S,S,d]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:xi(this.activation),recurrentActivation:xi(this.recurrentActivation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:yt(this.kernelConstraint),recurrentConstraint:yt(this.recurrentConstraint),biasConstraint:yt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Yt({},e,i)},t.className="LSTMCell",t}(ra);y.serialization.registerClass(_o);var Eb=function(n){Q(t,n);function t(e){var i=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new _o(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return i.implmentation===0&&(i.implementation=1),new e(i)},t.className="LSTM",t}(Ri);y.serialization.registerClass(Eb);var md=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.cells=e.cells,i}return Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],i=0,r=this.cells.slice().reverse();i<r.length;i++){var a=r[i];Array.isArray(a.stateSize)?e.push.apply(e,a.stateSize):e.push(a.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=e;for(var a=e.slice(1),s=[],o=0,l=r.cells.slice().reverse();o<l.length;o++){var u=l[o];Array.isArray(u.stateSize)?s.push(a.splice(0,u.stateSize.length)):s.push(a.splice(0,1))}s.reverse();for(var c=[],h,d=0;d<r.cells.length;++d){var u=r.cells[d];a=s[d],d===0?h=[e[0]].concat(a):h=[h[0]].concat(a),h=u.call(h,i),c.push(h.slice(1))}a=[];for(var p=0,f=c.slice().reverse();p<f.length;p++){var m=f[p];a.push.apply(a,m)}return[h[0]].concat(a)})},t.prototype.build=function(e){jh(e)&&(e=e[0]),e=e;var i;this.cells.forEach(function(r,a){or("RNNCell_"+a,function(){r.build(e),Array.isArray(r.stateSize)?i=r.stateSize[0]:i=r.stateSize,e=[e[0],i]})}),this.built=!0},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i=function(s){return{className:s.getClassName(),config:s.getConfig()}},r=this.cells.map(i),a={cells:r};return Yt({},e,a)},t.fromConfig=function(e,i,r){r===void 0&&(r={});for(var a=[],s=0,o=i.cells;s<o.length;s++){var l=o[s];a.push(Sn(l,r))}return new e({cells:a})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,l=this.cells;o<l.length;o++){var a=l[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.weights)}return $h(e)},t.prototype.setWeights=function(e){for(var i=[],r=0,a=this.cells;r<a.length;r++)for(var s=a[r],o=s.weights.length,l=e.splice(o),u=0;u<s.weights.length;++u)i.push([s.weights[u],l[u]]);Xh(i)},t.className="StackedRNNCells",t}(ra);y.serialization.registerClass(md);function Oi(n){var t=n.ones,e=n.rate,i=n.training,r=i===void 0?!1:i,a=n.count,s=a===void 0?1:a,o=function(){return yy(t(),e)},l=function(){return ts(o,t,r)};if(!s||s<=1)return y.keep(l().clone());var u=Array(s).fill(void 0).map(l);return u.map(function(c){return y.keep(c.clone())})}var oV=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(ra),J4=function(n){Q(t,n);function t(e){var i=this;if(e.unroll)throw new Te("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Te("It is not possible at the moment to stack convolutional cells.");return i=n.call(this,e)||this,i.inputSpec=[new Tt({ndim:5})],i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),i&&i.constants)throw new M("ConvRNN2D cell does not support constants");var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.prototype.computeOutputShape=function(e){var i=this.computeSingleOutputShape(e);return this.returnSequences||(i=[i[0]].concat(i.slice(2))),this.returnState&&(i=[i].concat(Array(2).fill([e[0]].concat(i.slice(-3))))),i},t.prototype.getInitialState=function(e){var i=this;return y.tidy(function(){var r=i.cell.stateSize,a=e.shape,s=i.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),l=y.zeros(o);return Array.isArray(r)?Array(r.length).fill(l):[l]})},t.prototype.resetStates=function(e,i){var r=this;i===void 0&&(i=!1),y.tidy(function(){if(!r.stateful)throw new Si("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=r.inputSpec[0].shape,s=r.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),l=a[0];if(l==null)throw new M("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(r.getStates()==null)Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(){return y.zeros(o)}):r.states_=[y.zeros(o)];else if(e==null)y.dispose(r.states_),r.keptStates!=null&&(y.dispose(r.keptStates),r.keptStates=[]),Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(){return y.zeros(o)}):r.states_[0]=y.zeros(o);else{if(Array.isArray(e)||(e=[e]),e.length!==r.states_.length)throw new M("Layer "+r.name+" expects "+r.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));i?r.keptStates.push(r.states_.slice()):y.dispose(r.states_);for(var u=0;u<r.states_.length;++u){var c=e[u],h=o;if(!y.util.arraysEqual(c.shape,h))throw new M("State "+u+" is incompatible with layer "+r.name+": "+("expected shape="+h+", received shape="+c.shape));r.states_[u]=c}}r.states_=r.states_.map(function(d){return y.keep(d.clone())})})},t.prototype.computeSingleOutputShape=function(e){var i=this.cell,r=i.dataFormat,a=i.filters,s=i.kernelSize,o=i.padding,l=i.strides,u=i.dilationRate,c=r==="channelsFirst",h=e[c?3:2],d=e[c?4:3],p=Ln(h,s[0],o,l[0],u[0]),f=Ln(d,s[1],o,l[1],u[1]),m=e.slice(0,2).concat(c?[a,p,f]:[p,f,a]);return m},t.className="ConvRNN2D",t}(Ri),yd=function(n){Q(t,n);function t(e){var i=this,r=e.filters,a=e.kernelSize,s=e.strides,o=e.padding,l=e.dataFormat,u=e.dilationRate;return i=n.call(this,Yt({},e,{units:r}))||this,i.filters=r,At(i.filters,"filters"),i.kernelSize=ia(a,2,"kernelSize"),i.kernelSize.forEach(function(c){return At(c,"kernelSize")}),i.strides=ia(s||1,2,"strides"),i.strides.forEach(function(c){return At(c,"strides")}),i.padding=o||"valid",rn(i.padding),i.dataFormat=l||"channelsLast",ct(i.dataFormat),i.dilationRate=ia(u||1,2,"dilationRate"),i.dilationRate.forEach(function(c){return At(c,"dilationRate")}),i}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[r]));var a=e[r],s=4,o=this.kernelSize.concat([a,this.filters*s]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var l=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",l,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var u=void 0;if(this.unitForgetBias){var c=this.biasInitializer,h=this.filters;u=new(i=function(d){Q(p,d);function p(){return d!==null&&d.apply(this,arguments)||this}return p.prototype.apply=function(f,m){var g=c.apply([h]),v=y.ones([h]),b=c.apply([h*2]);return Ph([g,v,b])},p}(hn),i.className="CustomInit",i)}else u=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e.length!==3)throw new M("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var a=i.training||!1,s=e[0],o=e[1],l=e[2],u=4;0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=Oi({ones:function(){return y.onesLike(s)},rate:r.dropout,training:a,count:u}));var c=r.dropoutMask,h=function(te,re,le){return!re||!re[le]?te:y.mul(re[le],te)},d=h(s,c,0),p=h(s,c,1),f=h(s,c,2),m=h(s,c,3);0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=Oi({ones:function(){return y.onesLike(o)},rate:r.recurrentDropout,training:a,count:u}));var g=r.recurrentDropoutMask,v=h(o,g,0),b=h(o,g,1),w=h(o,g,2),S=h(o,g,3),L=3,N=y.split(r.kernel.read(),u,L),C=N[0],R=N[1],D=N[2],k=N[3],W=r.useBias?y.split(r.bias.read(),u):[null,null,null,null],F=W[0],P=W[1],H=W[2],_=W[3];d=r.inputConv(d,C,F,r.padding),p=r.inputConv(p,R,P,r.padding),f=r.inputConv(f,D,H,r.padding),m=r.inputConv(m,k,_,r.padding);var K=y.split(r.recurrentKernel.read(),u,L),j=K[0],q=K[1],G=K[2],Z=K[3];v=r.recurrentConv(v,j),b=r.recurrentConv(b,q),w=r.recurrentConv(w,G),S=r.recurrentConv(S,Z);var X=r.recurrentActivation.apply(y.add(d,v)),ee=r.recurrentActivation.apply(y.add(p,b)),ne=y.add(y.mul(ee,l),y.mul(X,r.activation.apply(y.add(f,w)))),ie=y.mul(r.recurrentActivation.apply(y.add(m,S)),r.activation.apply(ne));return[ie,ie,ne]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i=e.units,r=Wk(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Yt({},r,a)},t.prototype.inputConv=function(e,i,r,a){var s=y.conv2d(e,i,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return r?Pn(s,r,this.dataFormat):s},t.prototype.recurrentConv=function(e,i){var r=1;return y.conv2d(e,i,r,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")},t.className="ConvLSTM2DCell",t}(_o);y.serialization.registerClass(yd);var Db=function(n){Q(t,n);function t(e){var i=this,r=new yd(e);return i=n.call(this,Yt({},e,{cell:r}))||this,i}return t.fromConfig=function(e,i){return new e(i)},t.className="ConvLSTM2D",t}(J4);y.serialization.registerClass(Db);var bd=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.rate=Math.max(Math.min(e.rate,1),0),i.noiseShape=e.noiseShape,i.seed=e.seed,i.supportsMasking=!0,i}return t.prototype.getNoiseShape=function(e){if(this.noiseShape==null)return this.noiseShape;for(var i=e.shape,r=[],a=0;a<this.noiseShape.length;++a)r.push(this.noiseShape[a]==null?i[a]:this.noiseShape[a]);return r},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);if(0<r.rate&&r.rate<1){var s=i.training==null?!1:i.training,o=r.getNoiseShape(a),l=ts(function(){return yy(a,r.rate,o,r.seed)},function(){return a},s);return l}return e})},t.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.prototype.dispose=function(){return n.prototype.dispose.call(this)},t.className="Dropout",t}(De);y.serialization.registerClass(bd);var kb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.inputSpec=[{ndim:3}],i}return t.prototype.getNoiseShape=function(e){var i=e.shape;return[i[0],1,i[2]]},t.className="SpatialDropout1D",t}(bd);y.serialization.registerClass(kb);var Fb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.activation=null,i.useBias=!0,i.kernel=null,i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){var r=null;e.batchSize!=null&&(r=e.batchSize),i.batchInputShape=[r,e.inputDim]}return i.units=e.units,At(i.units,"units"),i.activation=Ci(e.activation),e.useBias!=null&&(i.useBias=e.useBias),i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelConstraint=bt(e.kernelConstraint),i.biasConstraint=bt(e.biasConstraint),i.kernelRegularizer=tt(e.kernelRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.activityRegularizer=tt(e.activityRegularizer),i.supportsMasking=!0,i.inputSpec=[{minNDim:2}],i}return t.prototype.build=function(e){var i;e=Ye(e);var r=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[r,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:(i={},i[-1]=r,i)}],this.built=!0},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=e.slice();return i[i.length-1]=this.units,i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=iy(r.activation.getClassName()),o;return s!=null?o=zn(a,r.kernel.read(),s,r.bias?r.bias.read():null):(o=zn(a,r.kernel.read()),r.bias!=null&&(o=Pn(o,r.bias.read())),r.activation!=null&&(o=r.activation.apply(o))),o})},t.prototype.getConfig=function(){var e={units:this.units,activation:xi(this.activation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:yt(this.kernelConstraint),biasConstraint:yt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Dense",t}(De);y.serialization.registerClass(Fb);var Wb=function(n){Q(t,n);function t(e){var i=this;return e=e||{},i=n.call(this,e)||this,i.inputSpec=[{minNDim:3}],i.dataFormat=e.dataFormat,i}return t.prototype.computeOutputShape=function(e){e=Ye(e);for(var i=0,r=e.slice(1);i<r.length;i++){var a=r[i];if(a==null)throw new M('The shape of the input to "Flatten" is not fully defined '+("(got "+e.slice(1)+"). 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s=[],o=0;o<e.length;++o)i[o]==null?s.push(y.onesLike(e[o]).asType("bool")):i[o].rank<e[o].rank?s.push(y.expandDims(i[o],-1)):s.push(i[o]);var l=y.concat(s,r.axis);return y.all(l,-1,!1)})},t.prototype.getConfig=function(){var e={axis:this.axis},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Concatenate",t}(hr);y.serialization.registerClass(Kb);function os(n,t){for(;n<0;)n+=t;return n}function Z4(n,t,e){if(n.shape.length>3||t.shape.length>3)throw new Te("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, "+("but got "+n.shape.length)}),y.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, "+("but got "+t.shape.length)}),typeof e=="number"&&(e=[e,e]),n.dtype==="complex64"||t.dtype==="complex64")throw new Te("batchDot is not implemented for complex64-type Tensors yet.");var i=n.shape.length,r=t.shape.length;e==null&&(e=[i-1,r-2]);var a=e;return y.tidy(function(){var s;if(i>r){s=i-r;for(var o=[],l=0;l<s;++l)o.push(1);t=t.reshape(t.shape.concat(o))}else if(r>i){s=r-i;for(var o=[],l=0;l<s;++l)o.push(1);n=n.reshape(n.shape.concat(o))}else s=0;var u;if(n.shape.length===2&&t.shape.length===2)a[0]===a[1]?u=n.mul(t).sum(a[0]):u=n.transpose([1,0]).mul(t).sum(a[1]);else{var c=a[0]!==n.shape.length-1,h=a[1]===t.shape.length-1;u=n.matMul(t,c,h)}if(s>0){var d=void 0;i>r?d=i+r-3:d=i-1;for(var p=[],l=d;l<d+s;++l)p.push(l);u=u.squeeze(p)}return u.shape.length===1&&(u=u.expandDims(1)),u})}var jb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.axes=e.axes,i.normalize=e.normalize==null?!1:e.normalize,i.supportsMasking=!0,i.reshapeRequired=!1,i}return t.prototype.build=function(e){y.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var i=e[0],r=e[1];if(i.length>3||r.length>3)throw new Te("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(i,r);if(i[a[0]]!==r[a[1]])throw new M("Dimension incompatibility: "+(i[a[0]]+" !== "+r[a[1]]))},t.prototype.mergeFunction=function(e){if(e.length!==2)throw new M("A `Dot` layer must be called on exactly 2 inputs, "+("but received "+e.length+" input(s)."));var i=e[0],r=e[1],a;return Array.isArray(this.axes)?a=this.axes.map(function(s,o){return os(s,e[o].shape.length)}):a=[os(this.axes,i.shape.length),os(this.axes,r.shape.length)],this.normalize&&(i=Ro(i,a[0]),r=Ro(r,a[1])),Z4(i,r,a)},t.prototype.interpretAxes=function(e,i){var r;return Array.isArray(this.axes)?r=this.axes:r=[os(this.axes,e.length),os(this.axes,i.length)],r},t.prototype.computeOutputShape=function(e){y.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var i=e[0].slice(),r=e[1].slice();if(i.length>3||r.length>3)throw new Te("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(i,r);i.splice(a[0],1),r.splice(a[1],1),r.splice(0,1);var s=i.concat(r);return s.length===1&&s.push(1),s},t.prototype.computeMask=function(e,i){return null},t.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Dot",t}(hr);y.serialization.registerClass(jb);var $b=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.stddev=e.stddev,i}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={stddev:this.stddev};return Object.assign(i,e),i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=function(){return Io(a.shape,0,r.stddev).add(a)},o=ts(s,function(){return 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e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={rate:this.rate};return Object.assign(i,e),i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(r.rate<1&&r.rate>0){var a=r._getNoiseShape(e),s=function(){var o=xe(e),l=1.6732632423543772,u=1.0507009873554805,c=-l*u,h=y.greaterEqual(y.randomUniform(a),r.rate);h=Za(h,"float32");var d=Math.pow((1-r.rate)*(1+r.rate*Math.pow(c,2)),-.5),p=-d*c*r.rate,f=o.mul(h).add(h.add(-1).mul(c));return f.mul(d).add(p)};return ts(s,function(){return xe(e)},i.training||!1)}return e})},t.className="AlphaDropout",t}(De);y.serialization.registerClass(Jb);function ls(n,t,e,i,r,a){a===void 0&&(a=.001);var s;if(n.rank===2)s=y.batchNorm2d(n,t,e,i,r,a);else if(n.rank===3)s=y.batchNorm3d(n,t,e,i,r,a);else if(n.rank===4)s=y.batchNorm4d(n,t,e,i,r,a);else throw new Te("batchNormalization is not implemented for array of rank "+n.rank+" yet");return s}function Q4(n,t,e,i,r){return r===void 0&&(r=.001),y.tidy(function(){var a=y.moments(n,i),s=a.mean,o=a.variance,l=ls(n,s,o,e,t,r);return[l,s,o]})}function eF(n,t,e,i,r){return r===void 0&&(r=.001),y.tidy(function(){for(var a=y.moments(n,i),s=a.mean,o=a.variance,l=[],u=0,c=bn(0,n.rank);u<c.length;u++){var h=c[u];i.indexOf(h)!==-1?l.push(1):l.push(n.shape[h])}var d=s.reshape(l),p=o.reshape(l),f=t==null?null:t.reshape(l),m=e==null?null:e.reshape(l),g=ls(n,d,p,m,f,r);return[g,s,o]})}function tF(n,t,e,i,r){return r===void 0&&(r=.001),y.util.arraysEqual(i.slice().sort(),bn(0,n.rank-1))?Q4(n,t,e,i,r):eF(n,t,e,i,r)}var Zb=function(n){Q(t,n);function t(e){var i=this;return e==null&&(e={}),i=n.call(this,e)||this,i.supportsMasking=!0,i.axis=e.axis==null?-1:e.axis,i.momentum=e.momentum==null?.99:e.momentum,i.epsilon=e.epsilon==null?.001:e.epsilon,i.center=e.center==null?!0:e.center,i.scale=e.scale==null?!0:e.scale,i.betaInitializer=et(e.betaInitializer||"zeros"),i.gammaInitializer=et(e.gammaInitializer||"ones"),i.movingMeanInitializer=et(e.movingMeanInitializer||"zeros"),i.movingVarianceInitializer=et(e.movingVarianceInitializer||"ones"),i.betaConstraint=bt(e.betaConstraint),i.gammaConstraint=bt(e.gammaConstraint),i.betaRegularizer=tt(e.betaRegularizer),i.gammaRegularizer=tt(e.gammaRegularizer),i}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.axis>=0?this.axis:this.axis+e.length,a=e[r];if(a==null)throw new M("Axis "+r+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(e)+"."));this.inputSpec=[new Tt({ndim:e.length,axes:(i={},i[r]=a,i)})];var s=[a];this.scale&&(this.gamma=this.addWeight("gamma",s,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",s,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",s,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",s,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i.training==null?!1:i.training,s=xe(e),o=s.shape,l=o.length,u=bn(0,l),c=r.axis>=0?r.axis:r.axis+l;u.splice(c,1);var h=ar(1,l);h[c]=o[c];var d=u.slice();d.sort();var p=!y.util.arraysEqual(d,bn(0,l).slice(0,l-1)),f=function(){if(p){var L=r.movingMean.read().reshape(h),N=r.movingVariance.read().reshape(h),C=r.center?r.beta.read().reshape(h):null,R=r.scale?r.gamma.read().reshape(h):null;return ls(s,L,N,C,R,r.epsilon)}else return ls(s,r.movingMean.read(),r.movingVariance.read(),r.beta==null?null:r.beta.read(),r.gamma==null?null:r.gamma.read(),r.epsilon)};if(!a)return f();var m=tF(s,r.gamma.read(),r.beta.read(),u,r.epsilon),g=m[0],v=m[1],b=m[2],w=function(L,N,C){y.tidy(function(){var R=1-C,D=L.read(),k=D.sub(N).mul(R);L.write(D.sub(k))})},S=function(){w(r.movingMean,v,r.momentum),w(r.movingVariance,b,r.momentum)};return S(),g})},t.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:at(this.betaInitializer),gammaInitializer:at(this.gammaInitializer),movingMeanInitializer:at(this.movingMeanInitializer),movingVarianceInitializer:at(this.movingVarianceInitializer),betaRegularizer:Ke(this.betaRegularizer),gammaRegularizer:Ke(this.gammaRegularizer),betaConstraint:yt(this.betaConstraint),gammaConstraint:yt(this.gammaConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="BatchNormalization",t}(De);y.serialization.registerClass(Zb);var Qb=function(n){Q(t,n);function t(e){var i=this;if(e==null&&(e={}),i=n.call(this,e)||this,i.axis=e.axis==null?-1:e.axis,typeof i.axis=="number"){if(!Number.isInteger(i.axis))throw new Error("Expected axis to be an integer, but received "+i.axis)}else if(Array.isArray(i.axis))for(var r=0,a=i.axis;r<a.length;r++){var s=a[r];if(!Number.isInteger(s))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(i.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(i.axis)));return i.epsilon=e.epsilon==null?.001:e.epsilon,i.center=e.center==null?!0:e.center,i.scale=e.scale==null?!0:e.scale,i.betaInitializer=et(e.betaInitializer||"zeros"),i.gammaInitializer=et(e.gammaInitializer||"ones"),i.betaRegularizer=tt(e.betaRegularizer),i.gammaRegularizer=tt(e.gammaRegularizer),i.supportsMasking=!0,i}return t.prototype.build=function(e){e=Ye(e);var i=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(var r=0;r<this.axis.length;++r)this.axis[r]<0&&(this.axis[r]+=i);for(var a=0,s=this.axis;a<s.length;a++){var o=s[a];if(o<0||o>=i)throw new Error("Invalid axis: "+o)}if(this.axis.length!==Li(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var l=this.axis.map(function(c){return e[c]}),u=!0;this.scale?this.gamma=this.addWeight("gamma",l,"float32",this.gammaInitializer,this.gammaRegularizer,u):this.gamma=null,this.center?this.beta=this.addWeight("beta",l,"float32",this.betaInitializer,this.betaRegularizer,u):this.beta=null,this.built=!0},t.prototype.call=function(e,i){var r=this,a=xe(e),s=a.shape,o=s.length;return y.tidy(function(){for(var l=!0,u=y.moments(a,r.axis,l),c=u.mean,h=u.variance,d=ar(1,o),p=0,f=r.axis;p<f.length;p++){var m=f[p];d[m]=s[m]}for(var g=function(N){return N!=null&&N.shape.length!==o&&r.axis!==[o-1]?N.reshape(d):N},v=g(r.gamma.read()),b=g(r.beta.read()),w=[],S=[],L=0;L<o;++L)r.axis.indexOf(L)!==-1?(w.push(s[L]),S.push(1)):(w.push(1),S.push(s[L]));return c=c.tile(w),h=h.tile(w),v=v.tile(S),b=b.tile(S),ls(a,c,h,b,v,r.epsilon)})},t.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:at(this.betaInitializer),gammaInitializer:at(this.gammaInitializer),betaRegularizer:Ke(this.betaRegularizer),gammaRegularizer:Ke(this.gammaRegularizer)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="LayerNormalization",t}(De);y.serialization.registerClass(Qb);function nF(n,t,e){return y.tidy(function(){if(n.rank!==4)throw new M("temporalPadding expects input tensor to be 4-D, but received a "+(n.rank+"-D tensor."));if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new M("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=yn()),e!=="channelsLast"&&e!=="channelsFirst")throw new M("Unknown data format: "+e+". Supported data formats are 'channelsLast' and 'channelsFirst.");var i;return e==="channelsFirst"?i=[[0,0],[0,0],t[0],t[1]]:i=[[0,0],t[0],t[1],[0,0]],y.pad(n,i)})}var ew=function(n){Q(t,n);function t(e){var i=this;if(e==null&&(e={}),i=n.call(this,e)||this,i.dataFormat=e.dataFormat==null?yn():e.dataFormat,e.padding==null)i.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")i.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new M("ZeroPadding2D expects padding to be a length-2 array, but "+("received a length-"+e.padding.length+" array."));var r=void 0,a=void 0;if(typeof e.padding[0]=="number")r=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new M("ZeroPadding2D expects height padding to be a length-2 array, "+("but received a length-"+e.padding[0].length+" array."));if(r=e.padding[0],e.padding[1].length!==2)throw new M("ZeroPadding2D expects width padding 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y.tidy(function(){ct(r),cy(a),rn(i),e==null&&(e=[1,1]),i==null&&(i="valid"),r==null&&(r=yn()),a==null&&(a="max"),n=pd(n,r);var s,o=i==="same"?"same":"valid";return a==="max"?s=y.maxPool(n,t,e,o):s=y.avgPool(n,t,e,o),r==="channelsFirst"&&(s=y.transpose(s,[0,3,1,2])),s})}function tw(n,t,e,i,r,a){return y.tidy(function(){ct(r),cy(a),rn(i),e==null&&(e=[1,1,1]),i==null&&(i="valid"),r==null&&(r=yn()),a==null&&(a="max"),n=vb(n,r);var s,o=i==="same"?"same":"valid";return a==="max"?s=y.maxPool3d(n,t,e,o):s=y.avgPool3d(n,t,e,o),r==="channelsFirst"&&(s=y.transpose(s,[0,4,1,2,3])),s})}var nw=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=2),i=n.call(this,e)||this,typeof e.poolSize=="number")i.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")i.poolSize=e.poolSize;else throw new M("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.poolSize)));if(At(i.poolSize,"poolSize"),e.strides==null)i.strides=i.poolSize;else if(typeof e.strides=="number")i.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")i.strides=e.strides;else throw new M("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.strides)));return At(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,rn(i.padding),i.inputSpec=[new Tt({ndim:3})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=Ln(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],i,e[2]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i),e=Qa(xe(e),2);var a=r.poolingFunction(xe(e),[r.poolSize[0],1],[r.strides[0],1],r.padding,"channelsLast");return y.squeeze(a,[2])})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),iw=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ct(s),rn(a),Mo(e,i,r,a,s,"max")},t.className="MaxPooling1D",t}(nw);y.serialization.registerClass(iw);var rw=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ct(s),rn(a),Mo(e,i,r,a,s,"avg")},t.className="AveragePooling1D",t}(nw);y.serialization.registerClass(rw);var aw=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=[2,2]),i=n.call(this,e)||this,i.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)i.strides=i.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new M("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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e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),sw=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ct(s),rn(a),Mo(e,i,r,a,s,"max")},t.className="MaxPooling2D",t}(aw);y.serialization.registerClass(sw);var ow=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ct(s),rn(a),Mo(e,i,r,a,s,"avg")},t.className="AveragePooling2D",t}(aw);y.serialization.registerClass(ow);var lw=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=[2,2,2]),i=n.call(this,e)||this,i.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)i.strides=i.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new M("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+(e.strides.length+"."));i.strides=e.strides}else i.strides=[e.strides,e.strides,e.strides];return At(i.poolSize,"poolSize"),At(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,ct(i.dataFormat),rn(i.padding),i.inputSpec=[new Tt({ndim:5})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=this.dataFormat==="channelsFirst"?e[2]:e[1],r=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return i=Ln(i,this.poolSize[0],this.padding,this.strides[0]),r=Ln(r,this.poolSize[1],this.padding,this.strides[1]),a=Ln(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],i,r,a]:[e[0],i,r,a,e[4]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){return 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i=this.node.rawAttrs[t];if(i.tensor!=null)return Vt(t,this.tensorMap,this.context);if(i.i!=null||i.f!=null)return Nd(this.node.rawAttrs,t,e);if(i.s!=null)return Ad(this.node.rawAttrs,t,e);if(i.b!=null)return Td(this.node.rawAttrs,t,e);if(i.shape!=null)return Od(this.node.rawAttrs,t,e);if(i.type!=null)return Cd(this.node.rawAttrs,t,e);if(i.list!=null){if(i.list.i!=null||i.list.f!=null)return Ed(this.node.rawAttrs,t,e);if(i.list.s!=null)return Dd(this.node.rawAttrs,t,e);if(i.list.shape!=null)return kd(this.node.rawAttrs,t,e);if(i.list.b!=null)return Fd(this.node.rawAttrs,t,e);if(i.list.type!=null)return Rd(this.node.rawAttrs,t,e)}return e},n}();var SU=function(n,t,e){switch(n.op){case"BiasAdd":case"AddV2":case"Add":return[B.add(A("a",n,t,e),A("b",n,t,e))];case"AddN":return[B.addN(A("tensors",n,t,e))];case"FloorMod":case"Mod":return[B.mod(A("a",n,t,e),A("b",n,t,e))];case"Mul":return[B.mul(A("a",n,t,e),A("b",n,t,e))];case"RealDiv":case"Div":return[B.div(A("a",n,t,e),A("b",n,t,e))];case"DivNoNan":return[B.divNoNan(A("a",n,t,e),A("b",n,t,e))];case"FloorDiv":return[B.floorDiv(A("a",n,t,e),A("b",n,t,e))];case"Sub":return[B.sub(A("a",n,t,e),A("b",n,t,e))];case"Minimum":return[B.minimum(A("a",n,t,e),A("b",n,t,e))];case"Maximum":return[B.maximum(A("a",n,t,e),A("b",n,t,e))];case"Pow":return[B.pow(A("a",n,t,e),A("b",n,t,e))];case"SquaredDifference":return[B.squaredDifference(A("a",n,t,e),A("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var LU=function(n,t,e){switch(n.op){case"Abs":case"ComplexAbs":return[B.abs(A("x",n,t,e))];case"Acos":return[B.acos(A("x",n,t,e))];case"Acosh":return[B.acosh(A("x",n,t,e))];case"Asin":return[B.asin(A("x",n,t,e))];case"Asinh":return[B.asinh(A("x",n,t,e))];case"Atan":return[B.atan(A("x",n,t,e))];case"Atan2":return[B.atan2(A("x",n,t,e),A("y",n,t,e))];case"Atanh":return[B.atanh(A("x",n,t,e))];case"Ceil":return[B.ceil(A("x",n,t,e))];case"Complex":return[B.complex(A("real",n,t,e),A("imag",n,t,e))];case"Cos":return[B.cos(A("x",n,t,e))];case"Cosh":return[B.cosh(A("x",n,t,e))];case"Elu":return[B.elu(A("x",n,t,e))];case"Erf":return[B.erf(A("x",n,t,e))];case"Exp":return[B.exp(A("x",n,t,e))];case"Expm1":return[B.expm1(A("x",n,t,e))];case"Floor":return[B.floor(A("x",n,t,e))];case"Log":return[B.log(A("x",n,t,e))];case"Log1p":return[B.log1p(A("x",n,t,e))];case"Imag":return[B.imag(A("x",n,t,e))];case"Neg":return[B.neg(A("x",n,t,e))];case"Reciprocal":return[B.reciprocal(A("x",n,t,e))];case"Real":return[B.real(A("x",n,t,e))];case"Relu":return[B.relu(A("x",n,t,e))];case"Round":return[B.round(A("x",n,t,e))];case"Selu":return[B.selu(A("x",n,t,e))];case"Sigmoid":return[B.sigmoid(A("x",n,t,e))];case"Sin":return[B.sin(A("x",n,t,e))];case"Sign":return[B.sign(A("x",n,t,e))];case"Sinh":return[B.sinh(A("x",n,t,e))];case"Softplus":return[B.softplus(A("x",n,t,e))];case"Sqrt":return[B.sqrt(A("x",n,t,e))];case"Square":return[B.square(A("x",n,t,e))];case"Tanh":return[B.tanh(A("x",n,t,e))];case"Tan":return[B.tan(A("x",n,t,e))];case"Relu6":case"ClipByValue":return[B.clipByValue(A("x",n,t,e),A("clipValueMin",n,t,e),A("clipValueMax",n,t,e))];case"Rsqrt":return[B.rsqrt(Vt(n.inputNames[0],t,e))];case"Prod":return[B.prod(A("x",n,t,e),A("axes",n,t,e))];case"LeakyRelu":return[B.leakyRelu(A("x",n,t,e),A("alpha",n,t,e))];case"Prelu":return[B.prelu(A("x",n,t,e),A("alpha",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function dn(n,t,e){e===void 0&&(e=""),B.util.assert(IU(n,t),function(){return e+(" Shapes "+n+" and "+t+" must match")})}function IU(n,t){if(n.length!==t.length)return!1;for(var e=0;e<n.length;e++)if(n[e]!==-1&&t[e]!==-1&&n[e]!==t[e])return!1;return!0}var AU=function(){function n(t,e,i,r,a,s,o){this.name=t,this.dtype=e,this.maxSize=i,this.elementShape=r,this.identicalElementShapes=a,this.dynamicSize=s,this.clearAfterRead=o,this.tensors=[],this.closed_=!1,this.idTensor=B.scalar(0),B.keep(this.idTensor)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),n.prototype.clearAndClose=function(t){this.tensors.forEach(function(e){(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()},n.prototype.size=function(){return this.tensors.length},n.prototype.read=function(t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||t>=this.size())throw new Error("Tried to read from index "+t+", but array size is: "+this.size());var e=this.tensors[t];if(e.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+t+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor},n.prototype.readMany=function(t){var e=this;return t.map(function(i){return e.read(i)})},n.prototype.write=function(t,e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error("Tried to write to index "+t+", but array is not resizeable and size is: "+this.maxSize);var i=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+`,
          because the value dtype is `+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),dn(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),i.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(i.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");i.tensor=e,B.keep(e),i.written=!0,this.tensors[t]=i},n.prototype.writeMany=function(t,e){var i=this;if(t.length!==e.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,"+("because the index size: "+t.length+" is not the same as tensors size: "+e.length+"."));t.forEach(function(r,a){return i.write(r,e[a])})},n.prototype.gather=function(t,e){if(!!e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+e);if(t)t=t.slice(0,this.size());else{t=[];for(var i=0;i<this.size();i++)t.push(i)}if(t.length===0)return B.tensor([],[0].concat(this.elementShape));var r=this.readMany(t);return dn(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),B.stack(r,0)},n.prototype.concat=function(t){if(!!t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+t);if(this.size()===0)return B.tensor([],[0].concat(this.elementShape));for(var e=[],i=0;i<this.size();i++)e.push(i);var r=this.readMany(e);return dn(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),B.concat(r,0)},n.prototype.scatter=function(t,e){if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var i=Math.max.apply(Math,t);if(!this.dynamicSize&&i>=this.maxSize)throw new Error("Max index must be < array size ("+i+"  vs. "+this.maxSize+")");this.writeMany(t,B.unstack(e,0))},n.prototype.split=function(t,e){var i=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,a=t.map(function(c){return r+=c,r});if(r!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to
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        `+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var s=r===0?0:e.size/r,o=[];B.tidy(function(){e=B.reshape(e,[1,r,s]);for(var c=0;c<t.length;++c){var h=c===0?0:a[c-1],d=[0,h,0],p=[1,t[c],s];o[c]=B.reshape(B.slice(e,d,p),i.elementShape)}return o});for(var l=[],u=0;u<t.length;u++)l[u]=u;this.writeMany(l,o)},n}();var Go=function(){function n(t,e,i,r){r===void 0&&(r=-1),this.tensors=t,this.elementShape=e,this.elementDtype=i,t!=null&&t.forEach(function(a){if(i!==a.dtype)throw new Error("Invalid data types; op elements "+i+", but list elements "+a.dtype);dn(e,a.shape,"TensorList shape mismatch: "),B.keep(a)}),this.idTensor=B.scalar(0),this.maxNumElements=r,B.keep(this.idTensor)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),n.prototype.copy=function(){return new n(this.tensors.slice(),this.elementShape,this.elementDtype)},n.prototype.clearAndClose=function(t){this.tensors.forEach(function(e){(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()},n.prototype.size=function(){return this.tensors.length},n.prototype.stack=function(t,e,i){var r=this;if(i===void 0&&(i=-1),e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);if(i!==-1&&this.tensors.length!==i)throw new Error("Operation expected a list with "+i+" elements but got a list with "+this.tensors.length+" elements.");return dn(t,this.elementShape,"TensorList shape mismatch: "),B.tidy(function(){var a=r.tensors.map(function(s){return B.reshape(s,t)});return B.stack(a,0)})},n.prototype.popBack=function(t,e){if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);if(this.size()===0)throw new Error("Trying to pop from an empty list.");var i=this.tensors.pop();return dn(i.shape,t,"TensorList shape mismatch: "),B.reshape(i,t)},n.prototype.pushBack=function(t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+t.dtype+", but list elements "+this.elementDtype);if(dn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");B.keep(t),this.tensors.push(t)},n.prototype.resize=function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: "+t);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error("TensorListResize input size "+t+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=t},n.prototype.getItem=function(t,e,i){if(i!==this.elementDtype)throw new Error("Invalid data types; op elements "+i+", but list elements "+this.elementDtype);if(t<0||t>this.tensors.length)throw new Error("Trying to access element "+t+" in a list with "+this.tensors.length+" elements.");if(this.tensors[t]==null)throw new Error("element at index "+t+" is null.");return dn(this.tensors[t].shape,e,"TensorList shape mismatch: "),this.tensors[t]},n.prototype.setItem=function(t,e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error("Trying to set element "+t+" in a list with max "+this.maxNumElements+" elements.");dn(this.elementShape,e.shape,"TensorList shape mismatch: "),B.keep(e),this.tensors[t]=e},n.prototype.gather=function(t,e,i){var r=this;if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);return dn(this.elementShape,i,"TensorList shape mismatch: "),t=t.slice(0,this.size()),t.length===0?B.tensor([],[0].concat(this.elementShape)):B.tidy(function(){var a=t.map(function(s){return B.reshape(r.tensors[s],i)});return B.stack(a,0)})},n.prototype.concat=function(t,e){var i=this;if(!!t&&t!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+t);return dn(this.elementShape,e,"TensorList shape mismatch: "),this.size()===0?B.tensor([],[0].concat(this.elementShape)):B.tidy(function(){var r=i.tensors.map(function(a){return B.reshape(a,e)});return B.concat(r,0)})},n}();function TU(n,t,e){var i=n.dtype;if(n.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+n.shape);if(n.dtype!==e)throw new Error("Invalid data types; op elements "+n.dtype+", but list elements "+e);var r=n.shape.slice(1);dn(r,t,"TensorList shape mismatch: ");var a=B.unstack(n);return new Go(a,t,i)}function NU(n,t,e){return new Go([],n,t,e)}function xU(n,t,e,i){if(t.length!==n.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+n.shape[0]);var r=Math.max.apply(Math,t);if(i!=null&&i!==-1&&r>=i)throw new Error("Max index must be < array size ("+r+"  vs. "+i+")");var a=new Go([],e,n.dtype,i),s=B.unstack(n,0);return t.forEach(function(o,l){a.setItem(o,s[l])}),a}function CU(n,t,e){var i=0,r=t.map(function(u){return i+=u,i});if(i!==n.shape[0])throw new Error(`Expected sum of lengths to be equal to
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0:i=n.op;switch(i){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 r=A("thenBranch",n,t,e),a=A("elseBranch",n,t,e),s=A("cond",n,t,e),o=A("args",n,t,e),[4,s.data()];case 2:return l=Ot.sent(),l[0]?[2,e.functionMap[r].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)]:[2,e.functionMap[a].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 3:return u=A("body",n,t,e),c=A("cond",n,t,e),o=A("args",n,t,e),[4,e.functionMap[c].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 4:return h=Ot.sent(),d=o.map(function(Lt){return Lt.id}),[4,h[0].data()];case 5:l=Ot.sent(),h.forEach(function(Lt){!Lt.kept&&d.indexOf(Lt.id)===-1&&Lt.dispose()}),p=o,f=function(){var Lt,Ce,kt;return In(this,function(pt){switch(pt.label){case 0:return Lt=p,[4,e.functionMap[u].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 1:return p=pt.sent(),Ce=p.map(function(nt){return nt.id}),Lt.forEach(function(nt){!nt.kept&&d.indexOf(nt.id)===-1&&Ce.indexOf(nt.id)===-1&&nt.dispose()}),[4,e.functionMap[c].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 2:return kt=pt.sent(),[4,kt[0].data()];case 3:return l=pt.sent(),kt.forEach(function(nt){!nt.kept&&d.indexOf(nt.id)===-1&&Ce.indexOf(nt.id)===-1&&nt.dispose()}),[2]}})},Ot.label=6;case 6:return l[0]?[5,f()]:[3,8];case 7:return Ot.sent(),[3,6];case 8:return[2,p];case 9:return m=A("pred",n,t,e),[2,[ri(m)]];case 10:return m=A("pred",n,t,e),g=A("data",n,t,e),g.kept||(g=ri(g)),[4,m.data()];case 11:return[2,Ot.sent()[0]?[void 0,g]:[g,void 0]];case 12:return v=n.inputNames.find(function(Lt){return Vt(Lt,t,e)!==void 0}),v?(g=Vt(v,t,e),[2,[ri(g)]]):[2,void 0];case 13:return b=A("frameName",n,t,e),g=A("tensor",n,t,e),e.enterFrame(b),[2,[ri(g)]];case 14:return g=A("tensor",n,t,e),e.exitFrame(),[2,[ri(g)]];case 15:return g=A("tensor",n,t,e),e.nextIteration(),[2,[ri(g)]];case 16:return w=A("size",n,t,e),S=A("dtype",n,t,e),L=A("elementShape",n,t,e),N=A("dynamicSize",n,t,e),C=A("clearAfterRead",n,t,e),R=A("identicalElementShapes",n,t,e),D=A("name",n,t,e),k=new AU(D,S,w,L,R,N,C),e.addTensorArray(k),[2,[k.idTensor,B.scalar(1)]];case 17:return W=A("tensorArrayId",n,t,e),F=A("index",n,t,e),P=A("tensor",n,t,e),H=e.getTensorArray(W.id),H.write(F,P),[2,[H.idTensor]];case 18:return _=A("tensorArrayId",n,t,e),K=A("index",n,t,e),j=e.getTensorArray(_.id),[2,[j.read(K)]];case 19:return q=A("tensorArrayId",n,t,e),G=A("indices",n,t,e),Z=A("dtype",n,t,e),X=e.getTensorArray(q.id),[2,[X.gather(G,Z)]];case 20:return ee=A("tensorArrayId",n,t,e),ne=A("indices",n,t,e),ie=A("tensor",n,t,e),te=e.getTensorArray(ee.id),te.scatter(ne,ie),[2,[te.idTensor]];case 21:return re=A("tensorArrayId",n,t,e),le=e.getTensorArray(re.id),he=A("dtype",n,t,e),[2,[le.concat(he)]];case 22:return ye=A("tensorArrayId",n,t,e),Oe=A("tensor",n,t,e),ke=A("lengths",n,t,e),Pe=e.getTensorArray(ye.id),Pe.split(ke,Oe),[2,[Pe.idTensor]];case 23:return _e=A("tensorArrayId",n,t,e),ht=e.getTensorArray(_e.id),[2,[B.scalar(ht.size(),"int32")]];case 24:return St=A("tensorArrayId",n,t,e),qe=e.getTensorArray(St.id),qe.clearAndClose(),[2,[qe.idTensor]];case 25:return We=A("tensorListId",n,t,e),F=A("index",n,t,e),P=A("tensor",n,t,e),me=e.getTensorList(We.id),me.setItem(F,P),[2,[me.idTensor]];case 26:return We=A("tensorListId",n,t,e),K=A("index",n,t,e),L=A("elementShape",n,t,e),Dt=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.getItem(K,L,Dt)]];case 27:return ne=A("indices",n,t,e),ie=A("tensor",n,t,e),L=A("elementShape",n,t,e),ot=A("numElements",n,t,e),me=xU(ie,ne,L,ot),e.addTensorList(me),[2,[me.idTensor]];case 28:return L=A("elementShape",n,t,e),dt=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=NU(L,dt,ot),e.addTensorList(me),[2,[me.idTensor]];case 29:return q=A("tensorListId",n,t,e),G=A("indices",n,t,e),L=A("elementShape",n,t,e),dt=A("elementDType",n,t,e),me=e.getTensorList(q.id),[2,[me.gather(G,dt,L)]];case 30:return We=A("tensorListId",n,t,e),L=A("elementShape",n,t,e),dt=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=e.getTensorList(We.id),[2,[me.stack(L,dt,ot)]];case 31:return Cn=A("tensor",n,t,e),L=A("elementShape",n,t,e),dt=A("elementDType",n,t,e),me=TU(Cn,L,dt),e.addTensorList(me),[2,[me.idTensor]];case 32:return re=A("tensorListId",n,t,e),me=e.getTensorList(re.id),he=A("dtype",n,t,e),L=A("elementShape",n,t,e),[2,[me.concat(he,L)]];case 33:return We=A("tensorListId",n,t,e),P=A("tensor",n,t,e),me=e.getTensorList(We.id),me.pushBack(P),[2,[me.idTensor]];case 34:return We=A("tensorListId",n,t,e),L=A("elementShape",n,t,e),Dt=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.popBack(L,Dt)]];case 35:return Oe=A("tensor",n,t,e),L=A("elementShape",n,t,e),ke=A("lengths",n,t,e),me=CU(Oe,ke,L),e.addTensorList(me),[2,[me.idTensor]];case 36:throw TypeError("Node type "+n.op+" is not implemented")}})})};function Ww(n,t,e){var i=A("fusedOps",n,t,e),r=i[0],a=i[1],s=r==="biasadd",o=a==="prelu",l=r==="fusedbatchnorm",u=A("numArgs",n,t,e);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var c=A("strides",n,t,e),h=qo(n,t,e),d=A("dataFormat",n,t,e).toUpperCase(),p=A("dilations",n,t,e),f=A("args",n,t,e),m=f[0],g=f[1];return{stride:c,pad:h,dataFormat:d,dilations:p,biasArg:m,preluArg:g,activationFunc:a}}var EU=function(n,t,e){switch(n.op){case"Conv1D":{var i=A("stride",n,t,e),r=A("pad",n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),s=A("dilation",n,t,e);return[B.conv1d(A("x",n,t,e),A("filter",n,t,e),i,r,a,s)]}case"Conv2D":{var i=A("strides",n,t,e),r=qo(n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),o=A("dilations",n,t,e);return[B.conv2d(A("x",n,t,e),A("filter",n,t,e),[i[1],i[2]],r,a,[o[1],o[2]])]}case"_FusedConv2D":{var l=Ww(n,t,e),i=l.stride,r=l.pad,a=l.dataFormat,o=l.dilations,u=l.biasArg,c=l.preluArg,h=l.activationFunc;return[B.fused.conv2d({x:A("x",n,t,e),filter:A("filter",n,t,e),strides:[i[1],i[2]],pad:r,dataFormat:a,dilations:[o[1],o[2]],bias:u,activation:h,preluActivationWeights:c})]}case"FusedDepthwiseConv2dNative":{var d=Ww(n,t,e),i=d.stride,r=d.pad,a=d.dataFormat,o=d.dilations,u=d.biasArg,c=d.preluArg,h=d.activationFunc;return[B.fused.depthwiseConv2d({x:A("x",n,t,e),filter:A("filter",n,t,e),strides:[i[1],i[2]],pad:r,dataFormat:a,dilations:[o[1],o[2]],bias:u,activation:h,preluActivationWeights:c})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var p=A("outputShape",n,t,e),i=A("strides",n,t,e),r=qo(n,t,e);return[B.conv2dTranspose(A("x",n,t,e),A("filter",n,t,e),p,[i[1],i[2]],r)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var i=A("strides",n,t,e),r=qo(n,t,e),o=A("dilations",n,t,e),a=A("dataFormat",n,t,e).toUpperCase();return[B.depthwiseConv2d(A("input",n,t,e),A("filter",n,t,e),[i[1],i[2]],r,a,[o[1],o[2]])]}case"Conv3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),o=A("dilations",n,t,e);return[B.conv3d(A("x",n,t,e),A("filter",n,t,e),[i[1],i[2],i[3]],r,a,[o[1],o[2],o[3]])]}case"AvgPool":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.avgPool(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r)]}case"MaxPool":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.maxPool(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r)]}case"MaxPoolWithArgmax":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e),m=A("includeBatchInIndex",n,t,e),g=B.maxPoolWithArgmax(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r,m),v=g.result,b=g.indexes;return[v,b]}case"AvgPool3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.avgPool3d(A("x",n,t,e),[f[1],f[2],f[3]],[i[1],i[2],i[3]],r)]}case"MaxPool3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.maxPool3d(A("x",n,t,e),[f[1],f[2],f[3]],[i[1],i[2],i[3]],r)]}case"Dilation2D":{var w=A("strides",n,t,e),r=A("pad",n,t,e),o=A("dilations",n,t,e),S=w[1],L=w[2],N=o[1],C=o[2];return[B.dilation2d(A("x",n,t,e),A("filter",n,t,e),[S,L],r,[N,C],"NHWC")]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var DU=function(n,t,e){switch(n.op){case"Fill":{var i=A("shape",n,t,e),r=A("dtype",n,t,e),a=A("value",n,t,e);return[B.fill(i,a,r)]}case"LinSpace":{var s=A("start",n,t,e),o=A("stop",n,t,e),l=A("num",n,t,e);return[B.linspace(s,o,l)]}case"Multinomial":{var u=A("logits",n,t,e),c=A("numSamples",n,t,e),h=A("seed",n,t,e);return[B.multinomial(u,c,h)]}case"OneHot":{var d=A("indices",n,t,e),p=A("depth",n,t,e),f=A("onValue",n,t,e),m=A("offValue",n,t,e);return[B.oneHot(d,p,f,m)]}case"Ones":return[B.ones(A("shape",n,t,e),A("dtype",n,t,e))];case"OnesLike":return[B.onesLike(A("x",n,t,e))];case"RandomUniform":return[B.randomUniform(A("shape",n,t,e),A("minval",n,t,e),A("maxval",n,t,e),A("dtype",n,t,e))];case"Range":{var s=A("start",n,t,e),g=A("stop",n,t,e),v=A("step",n,t,e);return[B.range(s,g,v,A("dtype",n,t,e))]}case"TruncatedNormal":{var i=A("shape",n,t,e),b=A("mean",n,t,e),w=A("stdDev",n,t,e),h=A("seed",n,t,e);return[B.truncatedNormal(i,b,w,A("dtype",n,t,e),h)]}case"Zeros":return[B.zeros(A("shape",n,t,e),A("dtype",n,t,e))];case"ZerosLike":return[B.zerosLike(A("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var kU=void 0;function Wd(n,t,e){var i=A("boxes",n,t,e),r=A("scores",n,t,e),a=A("maxOutputSize",n,t,e),s=A("iouThreshold",n,t,e),o=A("scoreThreshold",n,t,e),l=A("softNmsSigma",n,t,e);return{boxes:i,scores:r,maxOutputSize:a,iouThreshold:s,scoreThreshold:o,softNmsSigma:l}}var FU=function(n,t,e){return _n(kU,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,a,s,o,l,u,p,h,f,a,s,o,l,u,m,h;return In(this,function(g){switch(g.label){case 0:i=n.op;switch(i){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 r=Wd(n,t,e),a=r.boxes,s=r.scores,o=r.maxOutputSize,l=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma,[4,B.image.nonMaxSuppressionWithScoreAsync(a,s,o,l,u,c)];case 2:return h=g.sent(),[2,[h.selectedIndices,h.selectedScores]];case 3:return d=Wd(n,t,e),a=d.boxes,s=d.scores,o=d.maxOutputSize,l=d.iouThreshold,u=d.scoreThreshold,p=A("padToMaxOutputSize",n,t,e),[4,B.image.nonMaxSuppressionPaddedAsync(a,s,o,l,u,p)];case 4:return h=g.sent(),[2,[h.selectedIndices,h.validOutputs]];case 5:return f=Wd(n,t,e),a=f.boxes,s=f.scores,o=f.maxOutputSize,l=f.iouThreshold,u=f.scoreThreshold,[4,B.image.nonMaxSuppressionAsync(a,s,o,l,u)];case 6:return[2,[g.sent()]];case 7:return m=B.cast(A("condition",n,t,e),"bool"),[4,B.whereAsync(m)];case 8:return h=[g.sent()],m.dispose(),[2,h];case 9:return[2,B.setdiff1dAsync(A("x",n,t,e),A("y",n,t,e))];case 10:throw TypeError("Node type "+n.op+" is not implemented")}})})};var WU=function(n,t,e){switch(n.op){case"TopKV2":{var i=A("x",n,t,e),r=A("k",n,t,e),a=A("sorted",n,t,e),s=B.topk(i,r,a);return[s.values,s.indices]}case"Unique":{var i=A("x",n,t,e),s=B.unique(i);return[s.values,s.indices]}case"UniqueV2":{var i=A("x",n,t,e),o=A("axis",n,t,e),s=B.unique(i,o);return[s.values,s.indices]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var UU=function(n,t,e){switch(n.op){case"Const":return t[n.name];case"PlaceholderWithDefault":var i=A("default",n,t,e);return[Vt(n.name,t,e)||i];case"Placeholder":return[Vt(n.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var r=A("x",n,t,e);return[ri(r)]}case"IdentityN":return A("x",n,t,e).map(function(h){return ri(h)});case"Snapshot":var a=A("x",n,t,e);return[ri(a)];case"Shape":return[B.tensor1d(A("x",n,t,e).shape,"int32")];case"ShapeN":return A("x",n,t,e).map(function(h){return B.tensor1d(h.shape)});case"Size":return[B.scalar(A("x",n,t,e).size,"int32")];case"Rank":return[B.scalar(A("x",n,t,e).rank,"int32")];case"NoOp":return[B.scalar(1)];case"Print":var s=A("x",n,t,e),o=A("data",n,t,e),l=A("message",n,t,e),u=A("summarize",n,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,u));return[s];default:throw TypeError("Node type "+n.op+" is not implemented")}};var BU=function(n,t,e){switch(n.op){case"ResizeBilinear":{var i=A("images",n,t,e),r=A("size",n,t,e),a=A("alignCorners",n,t,e);return[B.image.resizeBilinear(i,[r[0],r[1]],a)]}case"ResizeNearestNeighbor":{var i=A("images",n,t,e),r=A("size",n,t,e),a=A("alignCorners",n,t,e);return[B.image.resizeNearestNeighbor(i,[r[0],r[1]],a)]}case"CropAndResize":{var s=A("image",n,t,e),o=A("boxes",n,t,e),l=A("boxInd",n,t,e),u=A("cropSize",n,t,e),c=A("method",n,t,e),h=A("extrapolationValue",n,t,e);return[B.image.cropAndResize(s,o,l,u,c,h)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var zU=function(n,t,e){switch(n.op){case"Equal":return[B.equal(A("a",n,t,e),A("b",n,t,e))];case"NotEqual":return[B.notEqual(A("a",n,t,e),A("b",n,t,e))];case"Greater":return[B.greater(A("a",n,t,e),A("b",n,t,e))];case"GreaterEqual":return[B.greaterEqual(A("a",n,t,e),A("b",n,t,e))];case"Less":return[B.less(A("a",n,t,e),A("b",n,t,e))];case"LessEqual":return[B.lessEqual(A("a",n,t,e),A("b",n,t,e))];case"LogicalAnd":return[B.logicalAnd(A("a",n,t,e),A("b",n,t,e))];case"LogicalNot":return[B.logicalNot(A("a",n,t,e))];case"LogicalOr":return[B.logicalOr(A("a",n,t,e),A("b",n,t,e))];case"Select":case"SelectV2":return[B.where(A("condition",n,t,e),A("a",n,t,e),A("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var PU=function(n,t,e){switch(n.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[B.matMul(A("a",n,t,e),A("b",n,t,e),A("transposeA",n,t,e),A("transposeB",n,t,e))];case"Transpose":return[B.transpose(A("x",n,t,e),A("perm",n,t,e))];case"_FusedMatMul":var i=A("fusedOps",n,t,e),r=i[0],a=i[1],s=r==="biasadd",o=a==="prelu",l=A("numArgs",n,t,e);if(s){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var u=A("args",n,t,e),c=u[0],h=u[1];return[B.fused.matMul({a:A("a",n,t,e),b:A("b",n,t,e),transposeA:A("transposeA",n,t,e),transposeB:A("transposeB",n,t,e),bias:c,activation:a,preluActivationWeights:h})];default:throw TypeError("Node type "+n.op+" is not implemented")}};var _U=function(n,t,e){switch(n.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[B.batchNorm(A("x",n,t,e),A("mean",n,t,e),A("variance",n,t,e),A("offset",n,t,e),A("scale",n,t,e),A("epsilon",n,t,e))];case"FusedBatchNormV3":return[B.batchNorm(A("x",n,t,e),A("mean",n,t,e),A("variance",n,t,e),A("offset",n,t,e),A("scale",n,t,e),A("epsilon",n,t,e))];case"LRN":return[B.localResponseNormalization(A("x",n,t,e),A("radius",n,t,e),A("bias",n,t,e),A("alpha",n,t,e),A("beta",n,t,e))];case"Softmax":return[B.softmax(A("x",n,t,e))];case"LogSoftmax":return[B.logSoftmax(A("x",n,t,e))];case"SparseToDense":return[B.sparseToDense(A("sparseIndices",n,t,e),A("outputShape",n,t,e),A("sparseValues",n,t,e),A("defaultValue",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var MU=function(n,t,e){switch(n.op){case"Max":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.max(A("x",n,t,e),i,r)]}case"Mean":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.mean(A("x",n,t,e),i,r)]}case"Min":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.min(A("x",n,t,e),i,r)]}case"Sum":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.sum(A("x",n,t,e),i,r)]}case"All":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.all(A("x",n,t,e),i,r)]}case"Any":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.any(A("x",n,t,e),i,r)]}case"ArgMax":{var i=A("axis",n,t,e);return[B.argMax(A("x",n,t,e),i)]}case"ArgMin":{var i=A("axis",n,t,e);return[B.argMin(A("x",n,t,e),i)]}case"Prod":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.prod(A("x",n,t,e),i,r)]}case"Cumsum":{var i=A("axis",n,t,e),a=A("exclusive",n,t,e),s=A("reverse",n,t,e);return[B.cumsum(A("x",n,t,e),i,a,s)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var HU=function(n,t,e){switch(n.op){case"ConcatV2":case"Concat":{var i=A("n",n,t,e),r=A("axis",n,t,e),a=A("tensors",n,t,e);return a=a.slice(0,i),[B.concat(a,r)]}case"GatherV2":case"Gather":{var r=A("axis",n,t,e),s=A("x",n,t,e),o=A("indices",n,t,e);return[B.gather(s,B.cast(o,"int32"),r)]}case"ReverseV2":case"Reverse":{var r=A("axis",n,t,e),s=A("x",n,t,e);return[B.reverse(s,r)]}case"Slice":{var l=A("begin",n,t,e),u=A("size",n,t,e);return[B.slice(A("x",n,t,e),l,u)]}case"StridedSlice":{var l=A("begin",n,t,e),c=A("end",n,t,e),h=A("strides",n,t,e),d=A("beginMask",n,t,e),p=A("endMask",n,t,e),f=A("ellipsisMask",n,t,e),m=A("newAxisMask",n,t,e),g=A("shrinkAxisMask",n,t,e),v=A("x",n,t,e);return[B.stridedSlice(v,l,c,h,d,p,f,m,g)]}case"Pack":return B.tidy(function(){var D=A("axis",n,t,e),k=A("tensors",n,t,e),W=k[0].shape,F=B.squeeze(k[0]).shape,P=k.map(function(H){var _=B.util.arraysEqual(H.shape,W);if(!_&&!B.util.arraysEqual(B.squeeze(H).shape,F))throw new Error("the input tensors shape does not match");return _?H:B.reshape(H,W)});return[B.stack(P,D)]});case"Unpack":{var r=A("axis",n,t,e),v=A("tensor",n,t,e);return B.unstack(v,r)}case"Tile":{var b=A("reps",n,t,e);return[B.tile(A("x",n,t,e),b)]}case"Split":case"SplitV":{var r=A("axis",n,t,e),w=A("numOrSizeSplits",n,t,e),v=A("x",n,t,e);return B.split(v,w,r)}case"ScatterNd":{var o=A("indices",n,t,e),S=A("values",n,t,e),L=A("shape",n,t,e);return[B.scatterND(o,S,L)]}case"GatherNd":{var N=A("x",n,t,e),o=A("indices",n,t,e);return[B.gatherND(N,o)]}case"SparseToDense":{var o=A("sparseIndices",n,t,e),L=A("outputShape",n,t,e),C=A("sparseValues",n,t,e),R=A("defaultValue",n,t,e);return[B.sparseToDense(o,C,L,C.dtype===R.dtype?R:B.cast(R,C.dtype))]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var VU=function(n,t,e){switch(n.op){case"FFT":return[B.fft(A("x",n,t,e))];case"IFFT":return[B.ifft(A("x",n,t,e))];case"RFFT":return[B.rfft(A("x",n,t,e))];case"IRFFT":return[B.irfft(A("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var qU=function(n,t,e){switch(n.op){case"Cast":return[B.cast(A("x",n,t,e),A("dtype",n,t,e))];case"ExpandDims":{var i=A("axis",n,t,e);return[B.expandDims(A("x",n,t,e),i)]}case"Squeeze":{var i=A("axis",n,t,e);return[B.squeeze(A("x",n,t,e),i)]}case"Reshape":return[B.reshape(A("x",n,t,e),A("shape",n,t,e))];case"PadV2":case"Pad":return[B.pad(A("x",n,t,e),A("padding",n,t,e),A("constantValue",n,t,e))];case"SpaceToBatchND":{var r=A("blockShape",n,t,e),a=A("paddings",n,t,e);return[B.spaceToBatchND(A("x",n,t,e),r,a)]}case"BatchToSpaceND":{var r=A("blockShape",n,t,e),s=A("crops",n,t,e);return[B.batchToSpaceND(A("x",n,t,e),r,s)]}case"DepthToSpace":{var o=A("blockSize",n,t,e),l=A("dataFormat",n,t,e).toUpperCase();return[B.depthToSpace(A("x",n,t,e),o,l)]}case"BroadcastTo":return[B.broadcastTo(A("x",n,t,e),A("shape",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function Uw(n,t,e){var i=function(r,a,s){switch(r.category){case"arithmetic":return B.tidy(function(){return SU(r,a,s)});case"basic_math":return B.tidy(function(){return LU(r,a,s)});case"control":return OU(r,a,s);case"convolution":return B.tidy(function(){return EU(r,a,s)});case"creation":return B.tidy(function(){return DU(r,a,s)});case"dynamic":return FU(r,a,s);case"evaluation":return B.tidy(function(){return WU(r,a,s)});case"image":return B.tidy(function(){return BU(r,a,s)});case"graph":return B.tidy(function(){return UU(r,a,s)});case"logical":return B.tidy(function(){return zU(r,a,s)});case"matrices":return B.tidy(function(){return PU(r,a,s)});case"normalization":return B.tidy(function(){return _U(r,a,s)});case"reduction":return B.tidy(function(){return MU(r,a,s)});case"slice_join":return B.tidy(function(){return HU(r,a,s)});case"spectral":return B.tidy(function(){return VU(r,a,s)});case"transformation":return B.tidy(function(){return qU(r,a,s)});case"custom":var o=Ow(r.op);if(o&&o.customExecutor)return o.customExecutor(new wU(r,a,s));throw TypeError("Custom op "+r.op+" is not registered.");default:throw TypeError("Unknown op '"+r.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(n,t,e);return i instanceof Promise?i.then(function(r){return[].concat(r)}):[].concat(i)}var Bw=function(){function n(t,e,i,r){t===void 0&&(t={}),e===void 0&&(e={}),i===void 0&&(i={}),r===void 0&&(r={}),this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=i,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return n.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(n.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),n.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var i=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(i))}t.push(""),this._currentContextIds=t},n.prototype.contextIdforContexts=function(t){return t?t.map(function(e){return e.id===0&&e.iterationId===0?"":e.frameName+"-"+e.iterationId}).join("/"):""},n.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},n.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")},n.prototype.nextIteration=function(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;var t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")},n.prototype.getWeight=function(t){return this.weightMap[t]},n.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},n.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},n.prototype.addTensorList=function(t){this.tensorListMap[t.id]=t},n.prototype.getTensorList=function(t){return this.tensorListMap[t]},n.prototype.dispose=function(t){for(var e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(var e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)},n}();function Pw(n,t,e,i){var r=new Set,a=[],s=null,o=null,l=new Set,u=Object.keys(n).map(function(p){return $t(p)[0]}),c=[];i!=null&&(c=i.map(function(p){return $t(p.name)[0]}));for(var h=t.slice();h.length>0;){var d=h.pop();if((zw(d)||GU(d))&&(s==null&&(s=d,o=s.children.map(function(p){return p.name}).filter(function(p){return r.has(p)}))),r.add(d.name),e[d.name]!=null)continue;if(u.indexOf(d.name)!==-1)continue;if(c.indexOf(d.name)!==-1)continue;if(d.inputs.length===0){a.push(d.name);continue}d.inputs.forEach(function(p){if(l.has(p.name))return;l.add(p.name),h.push(p)})}return{inputs:n,outputs:t,usedNodes:r,missingInputs:a,dynamicNode:s,syncInputs:o}}function YU(n,t,e){var i=e.usedNodes,r=e.inputs,a=[],s=Object.keys(r).map(function(h){return $t(h)[0]}).map(function(h){return n.nodes[h]}),o=n.initNodes;s.forEach(function(h){i.has(h.name)&&a.push(h)}),n.weights.forEach(function(h){i.has(h.name)&&a.push(h)}),o!=null&&o.forEach(function(h){i.has(h.name)&&a.push(h)});for(var l=new Set,u=[];a.length>0;){var c=a.pop();l.add(c.name),t[c.name]||u.push(c),c.children.forEach(function(h){!l.has(h.name)&&i.has(h.name)&&h.inputs.every(function(d){return l.has(d.name)})&&a.push(h)})}return u}var KU=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],jU=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function zw(n){return KU.indexOf(n.op)>=0}function GU(n){return jU.indexOf(n.op)>=0}var _w=function(){function n(t,e){var i=this;this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(function(r){i._functionExecutorMap[r]=new n(t.functions[r],i)})}return Object.defineProperty(n.prototype,"weightIds",{get:function(){return this.parent?this.parent.weightIds:this._weightIds},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functionExecutorMap",{get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"weightMap",{get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(t){var e=Object.keys(t).map(function(i){return t[i].map(function(r){return r.id})});this._weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputs",{get:function(){return this._inputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputNodes",{get:function(){return this._inputs.map(function(t){return t.signatureKey||t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputNodes",{get:function(){return this._outputs.map(function(t){var e=t.signatureKey||t.name;return t.defaultOutput?e+":"+t.defaultOutput:e})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functions",{get:function(){var t=this;return Object.keys(this._functions).reduce(function(e,i){return e[i]=t._functions[i].signature,e},{})},enumerable:!0,configurable:!0}),n.prototype.getCompilationKey=function(t,e){var i=t.map(function(a){return a.name}).sort(),r=e.map(function(a){return a.name}).sort();return i.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},n.prototype.compile=function(t,e){var i=Pw(t,e,this.weightMap,this._initNodes),r=i.missingInputs,a=i.dynamicNode,s=i.syncInputs;if(a!=null)throw new Error("This execution contains the node '"+a.name+"', which has "+("the dynamic op '"+a.op+"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+("dynamic ops, specify the inputs ["+s+"]"));if(r.length>0){var o=e.map(function(u){return u.name}),l=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs "+("["+l+"]. Missing the following inputs: ["+r+"]"))}return YU(this.graph,this.weightMap,i)},n.prototype.execute=function(t,e){var i=this;t=this.mapInputs(t);var r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var a=r.map(function(d){return i.graph.nodes[$t(d)[0]]}),s=e.map(function(d){return $t(d)[0]}),o=s.map(function(d){return i.graph.nodes[d]});o.length===0&&(o=this._outputs);var l=this.getCompilationKey(a,o),u=this.compiledMap.get(l);u==null&&(u=this.compile(t,o),this.compiledMap.set(l,u));var c={},h={};return B.tidy(function(){var d=new Bw(i.weightMap,c,h,i.functionExecutorMap),p=Cw({},i.weightMap);Object.keys(t).forEach(function(w){var S=$t(w),L=S[0],N=S[1],C=[];C[N]=t[w],p[L]=C});for(var f=i.getFrozenTensorIds(p),m={},g=0;g<u.length;g++){var v=u[g];if(!p[v.name]){var b=Uw(v,p,d);if(b instanceof Promise)throw new Error("The execution of the op '"+v.op+"' returned a promise. Please use model.executeAsync() instead.");p[v.name]=b,i.checkTensorForDisposal(v.name,v,p,d,f,s,m)}}return i.parent==null&&d.dispose(f),e.map(function(w){return Vt(w,p,d)})})},n.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(i){return t[i]}).map(function(i){return i.map(function(r){return r.id})}));return new Set(e)},n.prototype.checkTensorForDisposal=function(t,e,i,r,a,s,o){if(e.category==="control"||s.indexOf(t)!==-1)return;i[t].forEach(function(l){l!=null&&(o[l.id]=(o[l.id]||0)+e.children.length)}),e.inputs.forEach(function(l){if(l.category!=="control"){var u=_W(l.name,i,r);u!=null&&u.forEach(function(c){if(c&&!a.has(c.id)){var h=o[c.id];h===1?(c.dispose(),delete o[c.id]):h!=null&&o[c.id]--}})}})},n.prototype.executeAsync=function(t,e){return _n(this,void 0,void 0,function(){return In(this,function(i){return[2,this._executeAsync(t,e)]})})},n.prototype._executeAsync=function(t,e,i,r,a){return i===void 0&&(i=!1),r===void 0&&(r={}),a===void 0&&(a={}),_n(this,void 0,void 0,function(){var s,o,l,u,c,h;return In(this,function(d){switch(d.label){case 0:return i||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e)),s=new Bw(this.weightMap,r,a,this.functionExecutorMap),[4,this.executeWithControlFlow(t,s,e,i)];case 1:return o=d.sent(),l=e.map(function(p){return Vt(p,o,s)}),u=l.map(function(p){return p.id}),c=Object.keys(t).map(function(p){return t[p].id}),h=new Set(u.concat(c,this.weightIds)),Object.keys(o).forEach(function(p){var f=o[p];f.forEach(function(m){m&&!m.isDisposed&&!h.has(m.id)&&m.dispose()})}),this.parent==null&&s.dispose(h),[2,l]}})})},n.prototype.executeFunctionAsync=function(t,e,i){return _n(this,void 0,void 0,function(){var r,a=this;return In(this,function(s){return r=t.reduce(function(o,l,u){return o[a.inputs[u].name]=l,o},{}),[2,this._executeAsync(r,this.outputNodes,!0,e,i)]})})},n.prototype.executeWithControlFlow=function(t,e,i,r){return _n(this,void 0,void 0,function(){var a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,N=this;return In(this,function(C){switch(C.label){case 0:a=Object.keys(t),s=a.map(function(R){return N.graph.nodes[$t(R)[0]]}),o=i.map(function(R){return $t(R)[0]}),l=o.map(function(R){return N.graph.nodes[R]}),u=Pw(t,l,this.weightMap),c=u.usedNodes,h=u.missingInputs,d=u.dynamicNode,p=u.syncInputs,f=s.concat(this.graph.weights).map(function(R){return{node:R,contexts:e.currentContext}}),m=Cw({},this.weightMap),Object.keys(t).forEach(function(R){var D=$t(R),k=D[0],W=D[1],F=[];F[W]=t[R],m[k]=F}),g={},v=this.getFrozenTensorIds(m),b={},C.label=1;case 1:return f.length>0?(w=this.processStack(s,f,e,m,b,v,o,g,c),[4,Promise.all(w)]):[3,3];case 2:return C.sent(),[3,1];case 3:if(d==null&&!r&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),S=l.filter(function(R){return!zw(R)&&!Vt(R.name,m,e)}).map(function(R){return R.name}),S.length>0)throw L="",d!=null&&(L="Alternatively, to avoid the dynamic ops, use model.execute() "+("and specify the inputs ["+p+"]")),new Error("Cannot compute the outputs ["+S+"] from the provided "+("inputs ["+a+"]. Consider providing the following inputs: ")+("["+h+"]. 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l=ii(o.name,i)[0];if(a[l]||!s.has(o.name))return;o.op==="Merge"?o.inputNames.some(function(u){return!!Vt(u,r,i)})&&(a[l]=!0,e.push({contexts:i.currentContext,node:o})):o.inputNames.every(function(u){return!!Vt(u,r,i)})&&(a[l]=!0,e.push({contexts:i.currentContext,node:o}))})},n.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(i){return i.dispose()})})},n.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(i){var r=t[i],a=$t(i)[0],s=e.graph.nodes[a];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,l=o.length===r.shape.length&&r.shape.every(function(u,c){return o[c]===-1||o[c]===u});B.util.assert(l,function(){return"The shape of dict['"+s.name+"'] provided in "+("model.execute(dict) must be ["+o+"], but was ")+("["+r.shape+"]")})}s.attrParams.dtype&&s.attrParams.dtype.value&&B.util.assert(r.dtype===s.attrParams.dtype.value,function(){return"The 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2:if(i=a.sent(),i.done)return[2,{value:null,done:!0}];this.iterator=i.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),a.label=3;case 3:return[4,this.iterator.next()];case 4:return r=a.sent(),r.done?(this.iterator=null,[2,this.readFromChain(e)]):[2,r]}})})},t}(Nt),Ei;(function(n){n[n.FAIL=0]="FAIL",n[n.SHORTEST=1]="SHORTEST",n[n.LONGEST=2]="LONGEST"})(Ei||(Ei={}));var gB=function(n){He(t,n);function t(e,i){i===void 0&&(i=Ei.FAIL);var r=n.call(this)||this;return r.iterators=e,r.mismatchMode=i,r.count=0,r.currentPromise=null,r}return t.prototype.summary=function(){var e="TODO: fill in upstream of zip summaries";return"{"+e+"} -> Zip"},t.prototype.nextState=function(e){return se(this,void 0,void 0,function(){function i(o){if(o instanceof Nt){var l=o.next();return{value:l.then(function(u){return r++,u.done&&a++,u.value}),recurse:!1}}else return{value:null,recurse:!0}}var r,a,s;return oe(this,function(o){switch(o.label){case 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"+("Mismatched at element "+this.count+"."));case Ei.SHORTEST:return[2,{value:null,done:!0}];case Ei.LONGEST:}return this.count++,[2,{value:s,done:!1}]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]})})},t}(Nt),Jw=function(n){He(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.bufferSize=i,r.buffer=new Kw(i),r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},t.prototype.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},t.prototype.next=function(){return this.refill(),this.buffer.shift()},t}(Nt),NB=function(n){He(t,n);function t(e,i,r){var a=n.call(this,e,i)||this;return a.upstream=e,a.windowSize=i,a.upstreamExhausted=!1,a.random=Vw(r||Ne.util.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.randomInt=function(e){return Math.floor(this.random()*e)},t.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e,i;return oe(this,function(r){switch(r.label){case 0:this.upstreamExhausted||this.refill(),r.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(e=this.chooseIndex(),[4,this.buffer.shuffleExcise(e)]);case 2:if(i=r.sent(),i.done)this.upstreamExhausted=!0;else return this.refill(),[2,i];return[3,1];case 3:return[2,{value:null,done:!0}]}})})},t}(Jw);var us=function(){function n(){this.size=null}return n.prototype.batch=function(t,e){var i=this;e===void 0&&(e=!0);var r=this;Ne.util.assert(t>0,function(){return`batchSize needs to be positive, but it is
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If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting "+("bufferSize to the dataset size ("+this.size+" elements)"));var a=this,s=Vw(e||Ne.util.now().toString());return Xt(function(){return se(r,void 0,void 0,function(){var o;return oe(this,function(l){switch(l.label){case 0:return o=s.int32(),i&&(o+=s.int32()),[4,a.iterator()];case 1:return[2,l.sent().shuffle(t,o.toString())]}})})},this.size)},n.prototype.take=function(t){var e=this,i=this,r;return this.size!=null&&this.size>t?r=t:this.size!=null&&this.size<=t?r=this.size:r=null,Xt(function(){return se(e,void 0,void 0,function(){return oe(this,function(a){switch(a.label){case 0:return[4,i.iterator()];case 1:return[2,a.sent().take(t)]}})})},r)},n.prototype.toArray=function(){return se(this,void 0,void 0,function(){return oe(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArray()]}})})},n.prototype.toArrayForTest=function(){return se(this,void 0,void 0,function(){return oe(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArrayForTest()]}})})},n.MAX_BUFFER_SIZE=1e4,n}();function Xt(n,t){return t===void 0&&(t=null),new(function(e){He(i,e);function i(){var r=e!==null&&e.apply(this,arguments)||this;return r.size=t,r}return i.prototype.iterator=function(){return se(this,void 0,void 0,function(){return oe(this,function(r){return[2,n()]})})},i}(us))}function CB(n){var t=this;return Xt(function(){return se(t,void 0,void 0,function(){return oe(this,function(e){return[2,jw(n)]})})},n.length)}function RB(n){var t=this;if(!sa(n))throw new Error("The argument to zip() must be an object or array.");var e;if(Array.isArray(n))for(var i=0;i<n.length;i++)e=e==null?n[i].size:Math.min(e,n[i].size);else if(n instanceof Object)for(var r in n)e=e==null?n[r].size:Math.min(e,n[r].size);return Xt(function(){return se(t,void 0,void 0,function(){var a;return oe(this,function(s){switch(s.label){case 0:return[4,Yw(n,function(o){if(o instanceof us)return{value:o.iterator(),recurse:!1};if(sa(o))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})];case 1:return a=s.sent(),[2,vB(a,Ei.SHORTEST)]}})})},e)}function xB(n){if(n===null)return null;var t=n[0];if(uB(t)){var e=OB(n);return{value:e,recurse:!1}}return{value:null,recurse:!0}}function OB(n){if(n.length===0)throw new Error("Can't make a batch of zero elements.");return n[0]instanceof Ne.Tensor?Ne.stack(n):Ne.tensor(n)}var Zw=function(n){He(t,n);function t(e){var i=n.call(this)||this;return i.input=e,i}return t.prototype.iterator=function(){return se(this,void 0,void 0,function(){var e,i,r;return oe(this,function(a){switch(a.label){case 0:return[4,this.input.iterator()];case 1:return e=a.sent(),i=e.decodeUTF8(),r=i.split(`
`).map(function(s){return s.endsWith("\r")&&(s=s.slice(0,-1)),s}),[2,r]}})})},t}(us);var Ko='"',cs=Symbol("out"),Qw=Symbol("field"),jo=Symbol("quote"),Pd=Symbol("quoteafterquote"),e0=Symbol("quoteinquote"),t0=function(n){He(t,n);function t(e,i){var r=n.call(this)||this;return r.input=e,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new Zw(e),i||(i={}),r.hasHeader=!(i.hasHeader===!1),r.fullColumnNames=i.columnNames,r.columnConfigs=i.columnConfigs,r.configuredColumnsOnly=i.configuredColumnsOnly,i.delimWhitespace?(Ne.util.assert(i.delimiter==null,function(){return"Delimiter should not be provided when delimWhitespace is true."}),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=i.delimiter?i.delimiter:",",r}return t.prototype.columnNames=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:e.sent(),e.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},t.prototype.setColumnNames=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u=this;return oe(this,function(c){switch(c.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(e=c.sent(),!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&e&&Ne.util.assert(e.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+u.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=e),i=this.fullColumnNames.reduce(function(h,d){return h[d]=h[d]+1||1,h},{}),r=Object.keys(i).filter(function(h){return i[h]>1}),Ne.util.assert(r.length===0,function(){return"Duplicate column names found: "+r.toString()}),this.columnConfigs){for(a=0,s=Object.keys(this.columnConfigs);a<s.length;a++)if(o=s[a],l=this.fullColumnNames.indexOf(o),l===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}return this.columnNamesValidated=!0,[2]}})})},t.prototype.maybeReadHeaderLine=function(){return se(this,void 0,void 0,function(){var e,i,r,a;return oe(this,function(s){switch(s.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return e=s.sent(),[4,e.next()];case 2:if(i=s.sent(),i.done)throw new Error("No data was found for CSV parsing.");return r=i.value,a=this.parseRow(r,!1),[2,a];case 3:return[2,null]}})})},t.prototype.iterator=function(){return se(this,void 0,void 0,function(){var e,i=this;return oe(this,function(r){switch(r.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:r.sent(),r.label=2;case 2:return[4,this.base.iterator()];case 3:return e=r.sent(),this.hasHeader&&(e=e.skip(1)),[2,e.map(function(a){return i.makeDataElement(a)})]}})})},t.prototype.makeDataElement=function(e){for(var i=this.parseRow(e),r={},a={},s=0;s<this.fullColumnNames.length;s++){var o=this.fullColumnNames[s],l=this.columnConfigs?this.columnConfigs[o]:null;if(this.configuredColumnsOnly&&!l)continue;var u=i[s],c=null;if(u==="")if(l&&l.default!==void 0)c=l.default;else{if(l&&(l.required||l.isLabel))throw new Error("Required column "+o+" is empty in this line: "+e);c=void 0}else{var h=Number(u);if(isNaN(h))l&&l.dtype==="bool"?c=this.getBoolean(u):c=u;else if(!l||!l.dtype)c=h;else switch(l.dtype){case"float32":c=h;break;case"int32":c=Math.floor(h);break;case"bool":c=this.getBoolean(u);break;default:c=h}}l&&l.isLabel?a[o]=c:r[o]=c}return Object.keys(a).length===0?r:{xs:r,ys:a}},t.prototype.getBoolean=function(e){return e==="1"||e.toLowerCase()==="true"?1:0},t.prototype.parseRow=function(e,i){i===void 0&&(i=!0);for(var r=[],a=0,s=e.length,o=cs,l=0;l<s;l++)switch(o){case cs:switch(e.charAt(l)){case Ko:a=l+1,o=jo;break;case this.delimiter:if(a=l+1,this.delimiter===" "&&this.delimWhitespace)break;r.push(""),o=cs;break;default:o=Qw,a=l;break}break;case Qw:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l)),o=cs,a=l+1;break}break;case jo:switch(e.charAt(l)){case Ko:o=Pd;break}break;case Pd:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l-1)),o=cs,a=l+1;break;case Ko:o=jo;break;default:o=e0;break}break;case e0:switch(e.charAt(l)){case Ko:o=jo;break}break}if(o===Pd?r.push(e.substring(a,s-1)):r.push(e.substring(a)),i&&r.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+r);return r},t}(us);var EB=function(n){He(t,n);function t(e){var i=n.call(this)||this;i.microphoneConfig=e,i.isClosed=!1,i.fftSize=e.fftSize||1024;var r=Math.log2(i.fftSize);if(i.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between "+("2 to 4 and 2 to 14, but got "+i.fftSize));if(i.numFrames=e.numFramesPerSpectrogram||43,i.sampleRateHz=e.sampleRateHz,i.columnTruncateLength=e.columnTruncateLength||i.fftSize,i.audioTrackConstraints=e.audioTrackConstraints,i.smoothingTimeConstant=e.smoothingTimeConstant||0,i.includeSpectrogram=!(e.includeSpectrogram===!1),i.includeWaveform=e.includeWaveform===!0,!i.includeSpectrogram&&!i.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return i}return t.prototype.summary=function(){return"microphone"},t.create=function(e){return e===void 0&&(e={}),se(this,void 0,void 0,function(){var i;return oe(this,function(r){switch(r.label){case 0:if(Ne.env().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return i=new t(e),[4,i.start()];case 1:return r.sent(),[2,i]}})})},t.prototype.start=function(){return se(this,void 0,void 0,function(){var e,i,r,a;return oe(this,function(s){switch(s.label){case 0:return s.trys.push([0,2,,3]),e=this,[4,navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})];case 1:return e.stream=s.sent(),[3,3];case 2:throw i=s.sent(),new Error("Error thrown while initializing video stream: "+i.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(r=window.AudioContext||window.webkitAudioContext,this.audioContext=new r,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: "+("Expected: "+this.sampleRateHz+"; ")+("Actual: "+this.audioContext.sampleRate));return a=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,a.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s;return oe(this,function(o){switch(o.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return r=o.sent(),this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(s=this.flattenQueue(r.timeDataQueue),i=this.getTensorFromAudioDataArray(s,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:e,waveform:i},done:!1}]}})})},t.prototype.capture=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:return[2,e.sent().value]}})})},t.prototype.getAudioData=function(){return se(this,void 0,void 0,function(){var e,i,r,a=this;return oe(this,function(s){return e=[],i=[],r=0,[2,new Promise(function(o){var l=setInterval(function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-Infinity&&o({freqDataQueue:e,timeDataQueue:i}),e.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),i.push(a.timeData.slice())),++r===a.numFrames&&(clearInterval(l),o({freqDataQueue:e,timeDataQueue:i}))},a.fftSize/a.sampleRateHz*1e3)})]})})},t.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},t.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},t.prototype.getSampleRate=function(){return this.sampleRateHz},t.prototype.flattenQueue=function(e){var i=e[0].length,r=new Float32Array(e.length*i);return e.forEach(function(a,s){return r.set(a,s*i)}),r},t.prototype.getTensorFromAudioDataArray=function(e,i){var r=new Float32Array(Ne.util.sizeFromShape(i));return r.set(e,r.length-e.length),Ne.tensor(r,i)},t}(Nt);var DB=function(n){He(t,n);function t(e,i){var r=n.call(this)||this;if(r.webcamVideoElement=e,r.webcamConfig=i,r.isClosed=!0,r.resize=!1,r.needToResize())if(r.resize=!0,r.cropSize=[r.webcamConfig.resizeHeight,r.webcamConfig.resizeWidth],r.cropBoxInd=Ne.tensor1d([0],"int32"),r.webcamConfig.centerCrop){var a=r.webcamConfig.resizeWidth*1/r.webcamVideoElement.width,s=r.webcamConfig.resizeHeight*1/r.webcamVideoElement.height,o=(1-a)/2,l=(1-s)/2,u=o+a,c=s+l;r.cropBox=Ne.tensor2d([l,o,c,u],[1,4])}else r.cropBox=Ne.tensor2d([0,0,1,1],[1,4]);return r}return t.prototype.summary=function(){return"webcam"},t.create=function(e,i){return i===void 0&&(i={}),se(this,void 0,void 0,function(){var r;return oe(this,function(a){switch(a.label){case 0:if(Ne.env().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!i.resizeWidth||!i.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=i.resizeWidth,e.height=i.resizeHeight}return r=new t(e,i),[4,r.start()];case 1:return a.sent(),[2,r]}})})},t.prototype.start=function(){return se(this,void 0,void 0,function(){var e,i,r=this;return oe(this,function(a){switch(a.label){case 0:this.webcamConfig.facingMode&&Ne.util.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",function(){return"Invalid webcam facing mode: "+r.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),a.label=1;case 1:return a.trys.push([1,3,,4]),e=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return e.stream=a.sent(),[3,4];case 3:throw i=a.sent(),i.message="Error thrown while initializing video stream: "+i.message,i;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(s){console.log(s),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(s){r.webcamVideoElement.onloadedmetadata=function(){s()}})]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e;return 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============================
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iz(a,e.shape,e.dtype,i,r)},t.prototype.min=function(e,i){ae(e,"min"),T.backend_util.assertAxesAreInnerMostDims("min",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];m<p&&(p=m)}u[h]=p}return o},t.prototype.minimum=function(e,i){return ae([e,i],"minimum"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.min(r,a)})},t.prototype.mod=function(e,i){return ae([e,i],"mod"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){var s=r%a;return r<0&&a<0||r>=0&&a>=0?s:(s+a)%a})},t.prototype.maximum=function(e,i){return ae([e,i],"maximum"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.max(r,a)})},t.prototype.all=function(e,i){ae(e,"all"),T.backend_util.assertAxesAreInnerMostDims("all",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];p=p&&m}u[h]=p}return o},t.prototype.any=function(e,i){ae(e,"any"),T.backend_util.assertAxesAreInnerMostDims("any",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];p=p||m}u[h]=p}return o},t.prototype.squaredDifference=function(e,i){return ae([e,i],"squaredDifference"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){var s=r-a;return s*s})},t.prototype.linear=function(e){return e},t.prototype.relu=function(e){ae(e,"relu");for(var i=T.zeros(e.shape,e.dtype),r=this.readSync(i.dataId),a=this.readSync(e.dataId),s=0;s<a.length;++s)r[s]=Math.max(0,a[s]);return i},t.prototype.relu6=function(e){ae(e,"relu");for(var i=T.zeros(e.shape,e.dtype),r=this.readSync(i.dataId),a=this.readSync(e.dataId),s=0;s<a.length;++s)r[s]=Math.min(Math.max(0,a[s]),6);return i},t.prototype.prelu=function(e,i){return ae([e,i],"prelu"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return r<0?a*r:r})},t.prototype.eluDer=function(e,i){ae([e,i],"eluDer");for(var r=new Float32Array(i.size),a=this.readSync(i.dataId),s=this.readSync(e.dataId),o=0;o<a.length;++o){var l=a[o];l>=1?r[o]=s[o]:r[o]=s[o]*(l+1)}return this.makeOutput(r,i.shape,"float32")},t.prototype.atan2=function(e,i){return ae([e,i],"atan2"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.atan2(r,a)})},t.prototype.fusedConv2d=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=this.conv2d(i,r,a);return s&&(u=T.add(u,s)),o&&(u=Kd(this,u,o,l)),u},t.prototype.conv2d=function(e,i,r){ae([e,i],"conv2d");for(var a=r.filterHeight,s=r.filterWidth,o=r.dilationHeight,l=r.dilationWidth,u=r.padInfo.left,c=r.padInfo.top,h=r.dataFormat==="channelsLast",d=T.buffer(r.outShape,e.dtype),p=e.strides[0],f=h?e.strides[1]:e.strides[2],m=h?e.strides[2]:1,g=h?1:e.strides[1],v=d.strides[0],b=h?d.strides[1]:d.strides[2],w=h?d.strides[2]:1,S=h?1:d.strides[1],L=this.readSync(e.dataId),N=this.readSync(i.dataId),C=d.values,R=0;R<r.batchSize;++R)for(var D=R*p,k=R*v,W=0;W<r.outHeight;++W)for(var F=k+W*b,P=W*r.strideHeight-c,H=0;H<a;H++){var _=P+H*o;if(_<0||_>=r.inHeight)continue;for(var K=H*i.strides[0],j=D+_*f,q=0;q<r.outWidth;++q)for(var G=F+q*w,Z=q*r.strideWidth-u,X=0;X<s;X++){var ee=Z+X*l;if(ee<0||ee>=r.inWidth)continue;for(var ne=K+X*i.strides[1],ie=j+ee*m,te=ne,re=0;re<r.inChannels;++re){for(var le=L[ie+re*g],he=0;he<r.outChannels;++he)C[G+he*S]+=le*N[te+he];te+=r.outChannels}}}return d.toTensor()},t.prototype.conv3d=function(e,i,r){for(var a=r.filterDepth,s=r.filterHeight,o=r.filterWidth,l=r.dilationDepth,u=r.dilationHeight,c=r.dilationWidth,h=r.padInfo.front,d=r.padInfo.left,p=r.padInfo.top,f=T.buffer(r.outShape,e.dtype),m=this.readSync(e.dataId),g=this.readSync(i.dataId),v=f.values,b=0;b<r.batchSize;++b)for(var w=b*e.strides[0],S=b*f.strides[0],L=0;L<r.outDepth;++L)for(var N=S+L*f.strides[1],C=L*r.strideDepth-h,R=0;R<a;R++){var D=C+R*l;if(D<0||D>=r.inDepth)continue;for(var k=R*i.strides[0],W=w+D*e.strides[1],F=0;F<r.outHeight;++F)for(var P=N+F*f.strides[2],H=F*r.strideHeight-p,_=0;_<s;_++){var K=H+_*u;if(K<0||K>=r.inHeight)continue;for(var j=k+_*i.strides[1],q=W+K*e.strides[2],G=0;G<r.outWidth;++G)for(var Z=P+G*r.outChannels,X=G*r.strideWidth-d,ee=0;ee<o;ee++){var ne=X+ee*c;if(ne<0||ne>=r.inWidth)continue;for(var ie=j+ee*i.strides[2],te=q+ne*r.inChannels,re=ie,le=0;le<r.inChannels;++le){for(var he=m[te+le],ye=0;ye<r.outChannels;++ye)v[Z+ye]+=he*g[re+ye];re+=r.outChannels}}}}return f.toTensor()},t.prototype.conv2dDerInput=function(e,i,r){ae([e,i],"conv2dDerInput");for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=this.readSync(e.dataId),l=this.readSync(i.dataId),u=i.strides,c=u[0],h=u[1],d=u[2],p=r.batchSize,f=r.filterHeight,m=r.filterWidth,g=r.inChannels,v=r.inHeight,b=r.inWidth,w=r.outChannels,S=r.outHeight,L=r.outWidth,N=r.strideHeight,C=r.strideWidth,R=r.dataFormat,D=f-1-r.padInfo.top,k=m-1-r.padInfo.left,W=R==="channelsLast",F=a.strides[0],P=W?a.strides[1]:a.strides[2],H=W?a.strides[2]:1,_=W?1:a.strides[1],K=e.strides[0],j=W?e.strides[1]:e.strides[2],q=W?e.strides[2]:1,G=W?1:e.strides[1],Z=0;Z<p;++Z)for(var X=0;X<g;++X)for(var ee=0;ee<v;++ee)for(var ne=ee-D,ie=Math.max(0,Math.ceil(ne/N)),te=Math.min(S,(f+ne)/N),re=0;re<b;++re){for(var le=re-k,he=Math.max(0,Math.ceil(le/C)),ye=Math.min(L,(m+le)/C),Oe=0,ke=ie;ke<te;++ke)for(var Pe=ke*N-ne,_e=he;_e<ye;++_e)for(var ht=_e*C-le,St=K*Z+j*ke+q*_e,qe=c*(f-1-Pe)+h*(m-1-ht)+d*X,We=0;We<w;++We){var me=o[St+G*We],Dt=l[qe+We];Oe+=me*Dt}var ot=F*Z+P*ee+H*re+_*X;s[ot]=Oe}return a.toTensor()},t.prototype.conv3dDerInput=function(e,i,r){for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=a.strides,l=o[0],u=o[1],c=o[2],h=o[3],d=this.readSync(e.dataId),p=e.strides,f=p[0],m=p[1],g=p[2],v=p[3],b=this.readSync(i.dataId),w=i.strides,S=w[0],L=w[1],N=w[2],C=w[3],R=r.batchSize,D=r.filterDepth,k=r.filterHeight,W=r.filterWidth,F=r.inChannels,P=r.inDepth,H=r.inHeight,_=r.inWidth,K=r.outChannels,j=r.outDepth,q=r.outHeight,G=r.outWidth,Z=r.strideDepth,X=r.strideHeight,ee=r.strideWidth,ne=D-1-r.padInfo.front,ie=k-1-r.padInfo.top,te=W-1-r.padInfo.left,re=0;re<R;++re)for(var le=0;le<F;++le)for(var he=0;he<P;++he)for(var ye=he-ne,Oe=Math.max(0,Math.ceil(ye/Z)),ke=Math.min(j,(D+ye)/Z),Pe=0;Pe<H;++Pe)for(var _e=Pe-ie,ht=Math.max(0,Math.ceil(_e/X)),St=Math.min(q,(k+_e)/X),qe=0;qe<_;++qe){for(var We=qe-te,me=Math.max(0,Math.ceil(We/ee)),Dt=Math.min(G,(W+We)/ee),ot=0,dt=Oe;dt<ke;++dt)for(var Cn=dt*Z-ye,Ot=ht;Ot<St;++Ot)for(var Lt=Ot*X-_e,Ce=me;Ce<Dt;++Ce)for(var kt=Ce*ee-We,pt=f*re+m*dt+g*Ot+v*Ce,nt=S*(D-1-Cn)+L*(k-1-Lt)+N*(W-1-kt)+C*le,on=0;on<K;++on){var Cs=d[pt+on],zt=b[nt+on];ot+=Cs*zt}s[l*re+u*he+c*Pe+h*qe+le]=ot}return a.toTensor()},t.prototype.conv2dDerFilter=function(e,i,r){ae([e,i],"conv2dDerFilter");for(var a=r.strideHeight,s=r.strideWidth,o=r.filterHeight,l=r.filterWidth,u=r.dataFormat==="channelsLast",c=T.buffer(r.filterShape,"float32"),h=r.padInfo.left,d=r.padInfo.top,p=this.bufferSync(e),f=this.bufferSync(i),m=0;m<o;++m)for(var g=Math.max(0,Math.ceil((d-m)/a)),v=Math.min(r.outHeight,(r.inHeight+d-m)/a),b=0;b<l;++b)for(var w=Math.max(0,Math.ceil((h-b)/s)),S=Math.min(r.outWidth,(r.inWidth+h-b)/s),L=0;L<r.inChannels;++L)for(var N=0;N<r.outChannels;++N){for(var C=0,R=0;R<r.batchSize;++R)for(var D=g;D<v;++D)for(var k=m+D*a-d,W=w;W<S;++W){var F=b+W*s-h;u?C+=p.get(R,k,F,L)*f.get(R,D,W,N):C+=p.get(R,L,k,F)*f.get(R,N,D,W)}c.set(C,m,b,L,N)}return c.toTensor()},t.prototype.conv3dDerFilter=function(e,i,r){for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,l=r.filterDepth,u=r.filterHeight,c=r.filterWidth,h=T.buffer(r.filterShape,"float32"),d=h.values,p=h.strides,f=p[0],m=p[1],g=p[2],v=p[3],b=this.readSync(i.dataId),w=i.strides,S=w[0],L=w[1],N=w[2],C=w[3],R=this.readSync(e.dataId),D=e.strides,k=D[0],W=D[1],F=D[2],P=D[3],H=r.padInfo.front,_=r.padInfo.left,K=r.padInfo.top,j=0;j<l;++j)for(var q=Math.max(0,Math.ceil((H-j)/a)),G=Math.min(r.outDepth,(r.inDepth+H-j)/a),Z=j*f,X=0;X<u;++X)for(var ee=Math.max(0,Math.ceil((K-X)/s)),ne=Math.min(r.outHeight,(r.inHeight+K-X)/s),ie=X*m+Z,te=0;te<c;++te)for(var re=Math.max(0,Math.ceil((_-te)/o)),le=Math.min(r.outWidth,(r.inWidth+_-te)/o),he=te*g+ie,ye=0;ye<r.inChannels;++ye)for(var Oe=ye*v+he,ke=0;ke<r.outChannels;++ke){for(var Pe=0,_e=0;_e<r.batchSize;++_e)for(var ht=_e*k,St=_e*S,qe=q;qe<G;++qe)for(var We=j+qe*a-H,me=We*W+ht,Dt=qe*L+St,ot=ee;ot<ne;++ot)for(var dt=X+ot*s-K,Cn=dt*F+me,Ot=ot*N+Dt,Lt=re;Lt<le;++Lt){var Ce=te+Lt*o-_,kt=Ce*P+Cn,pt=Lt*C+Ot;Pe+=R[kt+ye]*b[pt+ke]}d[Oe+ke]=Pe}return h.toTensor()},t.prototype.fusedDepthwiseConv2D=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=this.depthwiseConv2D(i,r,a);return s&&(u=T.add(u,s)),o&&(u=Kd(this,u,o,l)),u},t.prototype.depthwiseConv2D=function(e,i,r){ae([e,i],"depthwiseConv2D");for(var a=r.filterHeight,s=r.filterWidth,o=r.dilationHeight,l=r.dilationWidth,u=r.padInfo.left,c=r.padInfo.top,h=r.outChannels/r.inChannels,d=T.buffer(r.outShape,e.dtype),p=this.readSync(e.dataId),f=this.readSync(i.dataId),m=d.values,g=0;g<r.batchSize;++g)for(var v=g*e.strides[0],b=g*d.strides[0],w=0;w<r.outHeight;++w)for(var S=b+w*d.strides[1],L=w*r.strideHeight-u,N=0;N<a;++N){var C=L+N*o;if(C<0||C>=r.inHeight)continue;for(var R=N*i.strides[0],D=v+C*e.strides[1],k=0;k<r.outWidth;++k)for(var W=S+k*d.strides[2],F=k*r.strideWidth-c,P=0;P<s;++P){var H=F+P*l;if(H<0||H>=r.inWidth)continue;for(var _=R+P*i.strides[1],K=D+H*r.inChannels,j=W,q=_,G=0;G<r.inChannels;++G){for(var Z=p[K+G],X=0;X<h;++X)m[j+X]+=Z*f[q+X];j+=h,q+=h}}}return d.toTensor()},t.prototype.depthwiseConv2DDerInput=function(e,i,r){ae([e,i],"depthwiseConv2DDerInput");for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=a.strides,l=o[0],u=o[1],c=o[2],h=this.readSync(e.dataId),d=e.strides,p=d[0],f=d[1],m=d[2],g=this.readSync(i.dataId),v=i.strides,b=v[0],w=v[1],S=v[2],L=r.batchSize,N=r.filterHeight,C=r.filterWidth,R=r.inChannels,D=r.inHeight,k=r.inWidth,W=r.outChannels,F=r.outHeight,P=r.outWidth,H=r.strideHeight,_=r.strideWidth,K=N-1-r.padInfo.top,j=C-1-r.padInfo.left,q=W/R,G=0;G<L;++G)for(var Z=0;Z<R;++Z)for(var X=0;X<D;++X)for(var ee=X-K,ne=Math.max(0,Math.ceil(ee/H)),ie=Math.min(F,(N+ee)/H),te=0;te<k;++te){for(var re=te-j,le=Math.max(0,Math.ceil(re/_)),he=Math.min(P,(C+re)/_),ye=0,Oe=ne;Oe<ie;++Oe)for(var ke=Oe*H-ee,Pe=le;Pe<he;++Pe)for(var _e=Pe*_-re,ht=p*G+f*Oe+m*Pe,St=b*(N-1-ke)+w*(C-1-_e)+S*Z,qe=0;qe<q;++qe){var We=Z*q+qe,me=h[ht+We],Dt=g[St+qe];ye+=me*Dt}s[l*G+u*X+c*te+Z]=ye}return a.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(e,i,r){ae([e,i],"depthwiseConv2DDerFilter");for(var a=r.strideHeight,s=r.strideWidth,o=r.filterHeight,l=r.filterWidth,u=T.buffer(r.filterShape,"float32"),c=r.padInfo.left,h=r.padInfo.top,d=r.outChannels/r.inChannels,p=this.bufferSync(e),f=this.bufferSync(i),m=0;m<o;++m)for(var g=Math.max(0,Math.ceil((h-m)/a)),v=Math.min(r.outHeight,(r.inHeight+h-m)/a),b=0;b<l;++b)for(var w=Math.max(0,Math.ceil((c-b)/s)),S=Math.min(r.outWidth,(r.inWidth+c-b)/s),L=0;L<r.outChannels;++L){for(var N=Math.trunc(L/d),C=L%d,R=0,D=0;D<r.batchSize;++D)for(var k=g;k<v;++k)for(var W=m+k*a-h,F=w;F<S;++F){var P=b+F*s-c;R+=p.get(D,W,P,N)*f.get(D,k,F,L)}u.set(R,m,b,N,C)}return u.toTensor()},t.prototype.tile=function(e,i){return ae(e,"tile"),nz(this.bufferSync(e),i)},t.prototype.gather=function(e,i,r){ae([e,i],"gather");var a=e.shape.slice(),s=this.readSync(i.dataId);a[r]=s.length;for(var o=T.buffer(a,e.dtype),l=this.bufferSync(e),u=0;u<o.size;++u){var c=o.indexToLoc(u),h=c.slice();h[r]=s[c[r]];var d=l.locToIndex(h);o.values[u]=l.values[d]}return o.toTensor()},t.prototype.batchToSpaceND=function(e,i,r){ae([e],"batchToSpaceND");var a=i.reduce(function(h,d){return h*d}),s=T.backend_util.getReshaped(e.shape,i,a),o=T.backend_util.getPermuted(s.length,i.length),l=T.backend_util.getReshapedPermuted(e.shape,i,a),u=T.backend_util.getSliceBeginCoords(r,i.length),c=T.backend_util.getSliceSize(l,r,i.length);return T.transpose(e.reshape(s),o).reshape(l).slice(u,c)},t.prototype.pool3d=function(e,i,r){ae(e,"pool3d");for(var a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,l=i.dilationDepth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterDepth,d=i.effectiveFilterHeight,p=i.effectiveFilterWidth,f=i.padInfo.front,m=i.padInfo.top,g=i.padInfo.left,v=r==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=this.readSync(e.dataId),w=T.buffer(i.outShape,e.dtype),S=w.values,L=i.outShape[1]*i.outShape[2]*i.outShape[3]*i.outShape[4],N=i.outShape[2]*i.outShape[3]*i.outShape[4],C=i.outShape[3]*i.outShape[4],R=i.outShape[4],D=0;D<i.batchSize;++D)for(var k=D*L,W=D*e.strides[0],F=0;F<i.inChannels;++F)for(var P=0;P<i.outDepth;++P){for(var H=P*a-f,_=H;_<0;)_+=l;for(var K=Math.min(i.inDepth,h+H),j=k+P*N,q=0;q<i.outHeight;++q){for(var G=q*s-m,Z=G;Z<0;)Z+=u;for(var X=Math.min(i.inHeight,d+G),ee=j+q*C,ne=0;ne<i.outWidth;++ne){for(var ie=ne*o-g,te=ie;te<0;)te+=c;for(var re=Math.min(i.inWidth,p+ie),le=ee+ne*R,he=v,ye=0,Oe=0,ke=_;ke<K;ke+=l){for(var Pe=W+ke*e.strides[1],_e=Z;_e<X;_e+=u){for(var ht=Pe+_e*e.strides[2],St=te;St<re;St+=c){var qe=ht+St*e.strides[3],We=b[qe+F];if(r==="max"&&We>he?he=We:r==="avg"&&(ye+=We,Oe++),isNaN(he))break}if(isNaN(he))break}if(isNaN(he))break}var me=le+F;S[me]=r==="avg"?ye/Oe:he}}}return w.toTensor()},t.prototype.avgPool3d=function(e,i){return ae(e,"avgPool3d"),this.pool3d(e,i,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,i,r){ae([e,i],"avgPool3dBackprop");for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,l=r.filterDepth,u=r.filterHeight,c=r.filterWidth,h=r.dilationDepth,d=r.dilationHeight,p=r.dilationWidth,f=r.effectiveFilterDepth,m=r.effectiveFilterHeight,g=r.effectiveFilterWidth,v=f-1-r.padInfo.front,b=g-1-r.padInfo.left,w=m-1-r.padInfo.top,S=T.buffer(i.shape,"float32"),L=1/(l*u*c),N=this.bufferSync(e),C=0;C<r.batchSize;++C)for(var R=0;R<r.inChannels;++R)for(var D=0;D<r.inDepth;++D)for(var k=0;k<r.inHeight;++k)for(var W=0;W<r.inWidth;++W){for(var F=D-v,P=k-w,H=W-b,_=0,K=0;K<f;K+=h){var j=(F+K)/a;if(j<0||j>=r.outDepth||Math.floor(j)!==j)continue;for(var q=0;q<m;q+=d){var G=(P+q)/s;if(G<0||G>=r.outHeight||Math.floor(G)!==G)continue;for(var Z=0;Z<g;Z+=p){var X=(H+Z)/o;if(X<0||X>=r.outWidth||Math.floor(X)!==X)continue;var ee=N.get(C,j,G,X,R);_+=ee}}}S.set(_*L,C,D,k,W,R)}return S.toTensor()},t.prototype.maxPool3d=function(e,i){return ae(e,"maxPool3d"),this.pool3d(e,i,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,i){for(var r=T.buffer(i.outShape,"int32"),a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,l=i.dilationDepth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterDepth,d=i.effectiveFilterHeight,p=i.effectiveFilterWidth,f=i.padInfo.front,m=i.padInfo.top,g=i.padInfo.left,v=this.bufferSync(e),b=0;b<i.batchSize;++b)for(var w=0;w<i.inChannels;++w)for(var S=0;S<i.outDepth;++S){for(var L=S*a-f,N=L;N<0;)N+=l;for(var C=Math.min(i.inDepth,h+L),R=0;R<i.outHeight;++R){for(var D=R*s-m,k=D;k<0;)k+=u;for(var W=Math.min(i.inHeight,d+D),F=0;F<i.outWidth;++F){for(var P=F*o-g,H=P;H<0;)H+=c;for(var _=Math.min(i.inWidth,p+P),K=Number.NEGATIVE_INFINITY,j=-1,q=N;q<C;q+=l)for(var G=q-L,Z=k;Z<W;Z+=u)for(var X=Z-D,ee=H;ee<_;ee+=c){var ne=ee-P,ie=v.get(b,q,Z,ee,w);ie>=K&&(K=ie,j=G*d*p+X*d+ne)}r.set(j,b,S,R,F,w)}}}return r.toTensor()},t.prototype.maxPool3dBackprop=function(e,i,r,a){ae([i,r],"maxPool3dBackprop");for(var s=this.maxPool3dPositions(i,a),o=a.strideDepth,l=a.strideHeight,u=a.strideWidth,c=a.dilationDepth,h=a.dilationHeight,d=a.dilationWidth,p=a.effectiveFilterDepth,f=a.effectiveFilterHeight,m=a.effectiveFilterWidth,g=p-1-a.padInfo.front,v=m-1-a.padInfo.left,b=f-1-a.padInfo.top,w=T.buffer(i.shape,"float32"),S=this.bufferSync(s),L=this.bufferSync(e),N=0;N<a.batchSize;++N)for(var C=0;C<a.inChannels;++C)for(var R=0;R<a.inDepth;++R)for(var D=0;D<a.inHeight;++D)for(var k=0;k<a.inWidth;++k){for(var W=R-g,F=D-b,P=k-v,H=0,_=0;_<p;_+=c){var K=(W+_)/o;if(K<0||K>=a.outDepth||Math.floor(K)!==K)continue;for(var j=0;j<f;j+=h){var q=(F+j)/l;if(q<0||q>=a.outHeight||Math.floor(q)!==q)continue;for(var G=0;G<m;G+=d){var Z=(P+G)/u;if(Z<0||Z>=a.outWidth||Math.floor(Z)!==Z)continue;var X=p*f*m-1-S.get(N,K,q,Z,C),ee=_*f*m+j*m+G,ne=X===ee?1:0;if(ne===0)continue;var ie=L.get(N,K,q,Z,C);H+=ie*ne}}}w.set(H,N,R,D,k,C)}return w.toTensor()},t.prototype.resizeBilinear=function(e,i,r,a){ae(e,"resizeBilinear");for(var s=e.shape,o=s[0],l=s[1],u=s[2],c=s[3],h=this.readSync(e.dataId),d=new Float32Array(T.util.sizeFromShape([o,i,r,c])),p=[a&&i>1?l-1:l,a&&r>1?u-1:u],f=[a&&i>1?i-1:i,a&&r>1?r-1:r],m=0,g=p[0]/f[0],v=p[1]/f[1],b=0;b<o;b++)for(var w=0;w<i;w++)for(var S=g*w,L=Math.floor(S),N=S-L,C=Math.min(l-1,Math.ceil(S)),R=b*e.strides[0]+L*e.strides[1],D=b*e.strides[0]+C*e.strides[1],k=0;k<r;k++)for(var W=v*k,F=Math.floor(W),P=W-F,H=Math.min(u-1,Math.ceil(W)),_=R+F*e.strides[2],K=D+F*e.strides[2],j=R+H*e.strides[2],q=D+H*e.strides[2],G=0;G<c;G++){var Z=h[_+G],X=h[K+G],ee=h[j+G],ne=h[q+G],ie=Z+(ee-Z)*P,te=X+(ne-X)*P,re=ie+(te-ie)*N;d[m++]=re}return T.tensor(d,[o,i,r,c])},t.prototype.resizeBilinearBackprop=function(e,i,r){ae([e,i],"resizeBilinearBackprop");for(var a=i.shape,s=a[0],o=a[1],l=a[2],u=a[3],c=e.shape,h=c[1],d=c[2],p=new Float32Array(s*o*l*u),f=[r&&h>1?o-1:o,r&&d>1?l-1:l],m=[r&&h>1?h-1:h,r&&d>1?d-1:d],g=f[0]/m[0],v=f[1]/m[1],b=this.readSync(e.dataId),w=0,S=0;S<s;S++)for(var L=S*i.strides[0],N=0;N<h;N++)for(var C=N*g,R=Math.floor(C),D=Math.min(Math.ceil(C),o-1),k=L+R*i.strides[1],W=L+D*i.strides[1],F=C-R,P=1-F,H=0;H<d;H++)for(var _=H*v,K=Math.floor(_),j=Math.min(Math.ceil(_),l-1),q=_-K,G=1-q,Z=k+K*i.strides[2],X=k+j*i.strides[2],ee=W+K*i.strides[2],ne=W+j*i.strides[2],ie=P*G,te=P*q,re=F*G,le=F*q,he=0;he<u;he++){var ye=b[w++];p[Z+he]+=ye*ie,p[X+he]+=ye*te,p[ee+he]+=ye*re,p[ne+he]+=ye*le}return T.tensor4d(p,[s,l,o,u],i.dtype)},t.prototype.resizeNearestNeighbor=function(e,i,r,a){ae(e,"resizeNearestNeighbor");for(var s=e.shape,o=s[0],l=s[1],u=s[2],c=s[3],h=this.readSync(e.dataId),d=new Float32Array(o*i*r*c),p=[a&&i>1?l-1:l,a&&r>1?u-1:u],f=[a&&i>1?i-1:i,a&&r>1?r-1:r],m=p[0]/f[0],g=p[1]/f[1],v=0,b=0;b<o;b++)for(var w=b*e.strides[0],S=0;S<i;S++)for(var L=m*S,N=Math.min(l-1,a?Math.round(L):Math.floor(L)),C=w+N*e.strides[1],R=0;R<r;R++)for(var D=g*R,k=Math.min(u-1,a?Math.round(D):Math.floor(D)),W=C+k*e.strides[2],F=0;F<c;F++){var P=h[W+F];d[v++]=P}return T.tensor(d,[o,i,r,c],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,i,r){ae([e,i],"resizeNearestNeighborBackprop");for(var a=i.shape,s=a[0],o=a[1],l=a[2],u=a[3],c=e.shape,h=c[1],d=c[2],p=new Float32Array(s*o*l*u),f=this.readSync(e.dataId),m=[r&&h>1?o-1:o,r&&d>1?l-1:l],g=[r&&h>1?h-1:h,r&&d>1?d-1:d],v=m[0]/g[0],b=m[1]/g[1],w=1/v,S=1/b,L=Math.ceil(w)*2+2,N=Math.ceil(S)*2+2,C=0;C<s;C++)for(var R=C*i.strides[0],D=0;D<o;D++)for(var k=R+D*i.strides[1],W=Math.floor(D*w),F=Math.floor(W-L/2),P=0;P<l;P++)for(var H=k+P*i.strides[2],_=Math.floor(P*S),K=Math.floor(_-N/2),j=0;j<u;j++){for(var q=0,G=0;G<L;G++){var Z=G+F;if(Z<0||Z>=h)continue;var X=R+Z*e.strides[1],ee=Z*v,ne=Math.min(o-1,r?Math.round(ee):Math.floor(ee));if(D!==ne)continue;for(var ie=0;ie<N;ie++){var te=ie+K;if(te<0||te>=d)continue;var re=X+te*e.strides[2],le=te*b,he=Math.min(l-1,r?Math.round(le):Math.floor(le));P===he&&(q+=f[re+j])}}p[H+j]=q}return T.tensor4d(p,i.shape,i.dtype)},t.prototype.localResponseNormalization4D=function(e,i,r,a,s){ae(e,"localResponseNormalization4D");var o=e.shape[3],l=o-1,u=this.readSync(e.dataId),c=e.size,h=new Float32Array(c);function d(g){for(var v=g%o,b=g-v+Math.max(0,v-i),w=g-v+Math.min(v+i,l),S=0;b<=w;b++){var L=u[b];S+=L*L}return S}for(var p=0;p<c;p++){var f=d(p),m=u[p]*Math.pow(r+a*f,-s);h[p]=m}return T.tensor4d(h,e.shape)},t.prototype.LRNGrad=function(e,i,r,a,s,o,l){ae(e,"LRNGrad");for(var u=e.shape[3],c=this.readSync(e.dataId),h=this.readSync(i.dataId),d=this.readSync(r.dataId),p=new Float32Array(e.size),f=e.size,m=0;m<f;m++){for(var g=m%u,v=m-g+Math.max(0,g-a),b=m-g+Math.min(u,g+a+1),w=0,S=v;S<b;S++)w+=Math.pow(h[S],2);w=o*w+s;for(var S=v;S<b;S++){var L=-2*o*l*h[S]*d[m]/w;m===S&&(L+=Math.pow(w,-l)),L*=c[m],p[S]+=L}}return T.tensor4d(p,e.shape)},t.prototype.multinomial=function(e,i,r,a){ae(e,"multinomial");for(var s=i?e:T.softmax(e),o=s.shape[0],l=s.shape[1],u=T.zeros([o,r],"int32"),c=this.readSync(u.dataId),h=this.readSync(s.dataId),d=0;d<o;++d){var p=d*l,f=new Float32Array(l-1);f[0]=h[p];for(var m=1;m<f.length;++m)f[m]=f[m-1]+h[p+m];for(var g=ZB.alea(a.toString()),v=d*r,b=0;b<r;++b){var w=g();c[v+b]=f.length;for(var S=0;S<f.length;S++)if(w<f[S]){c[v+b]=S;break}}}return u},t.prototype.oneHot=function(e,i,r,a){ae(e,"oneHot");var s=new Float32Array(e.size*i);s.fill(a);for(var o=this.readSync(e.dataId),l=0;l<e.size;++l)o[l]>=0&&o[l]<i&&(s[l*i+o[l]]=r);return T.tensor2d(s,[e.size,i],"int32")},t.prototype.nonMaxSuppression=function(e,i,r,a,s){ae(e,"nonMaxSuppression");var o=this.readSync(e.dataId),l=this.readSync(i.dataId);return ez(o,l,r,a,s)},t.prototype.depthToSpace=function(e,i,r){T.util.assert(r==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+r}),T.util.assert(i>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+i});for(var a=e.shape[0],s=e.shape[1],o=e.shape[2],l=e.shape[3],u=s*i,c=o*i,h=l/(i*i),d=this.readSync(e.dataId),p=new Float32Array(a*u*c*h),f=0,m=0;m<a;++m)for(var g=0;g<u;++g)for(var v=Math.floor(g/i),b=g%i,w=0;w<c;++w)for(var S=Math.floor(w/i),L=w%i,N=(b*i+L)*h,C=0;C<h;++C){var R=C+N,D=R+l*(S+o*(v+s*m));p[f++]=d[D]}return T.tensor4d(p,[a,u,c,h])},t.prototype.broadcastedBinaryOp=function(e,i,r,a){var s=T.backend_util.assertAndGetBroadcastShape(e.shape,i.shape),o=T.buffer(s,r),l=this.readSync(e.dataId),u=this.readSync(i.dataId),c=T.backend_util.getBroadcastDims(e.shape,s),h=T.backend_util.getBroadcastDims(i.shape,s),d=o.values;if(c.length+h.length===0)for(var p=0;p<d.length;++p)d[p]=a(l[p%l.length],u[p%u.length]);else for(var f=this.bufferSync(e),m=this.bufferSync(i),g=function(v){var b=o.indexToLoc(v),w=b.slice(-e.rank);c.forEach(function(C){return w[C]=0});var S=f.locToIndex(w),L=b.slice(-i.rank);h.forEach(function(C){return L[C]=0});var N=m.locToIndex(L);d[v]=a(l[S],u[N])},p=0;p<d.length;++p)g(p);return o.toTensor()},t.prototype.split=function(e,i,r){return tz(e,i,r)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return n.prototype.epsilon.call(this)},t.prototype.cropAndResize=function(e,i,r,a,s,o){for(var l=e.shape,u=l[0],c=l[1],h=l[2],d=l[3],p=i.shape[0],f=a[0],m=a[1],g=T.buffer([p,f,m,d],"float32"),v=this.readSync(i.dataId),b=this.readSync(r.dataId),w=this.readSync(e.dataId),S=e.strides,L=g.strides,N=0;N<p;N++){var C=N*4,R=v[C],D=v[C+1],k=v[C+2],W=v[C+3],F=b[N];if(F>=u)continue;for(var P=f>1?(k-R)*(c-1)/(f-1):0,H=m>1?(W-D)*(h-1)/(m-1):0,_=0;_<f;_++){var K=f>1?R*(c-1)+_*P:.5*(R+k)*(c-1);if(K<0||K>c-1){for(var j=0;j<m;j++)for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+N*L[0];g.values[G]=o}continue}if(s==="bilinear")for(var Z=Math.floor(K),X=Math.ceil(K),ee=K-Z,j=0;j<m;j++){var ne=m>1?D*(h-1)+j*H:.5*(D+W)*(h-1);if(ne<0||ne>h-1){for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+N*L[0];g.values[G]=o}continue}for(var ie=Math.floor(ne),te=Math.ceil(ne),re=ne-ie,q=0;q<d;q++){var G=q+ie*S[2]+Z*S[1]+F*S[0],le=w[G];G=q+te*S[2]+Z*S[1]+F*S[0];var he=w[G];G=q+ie*S[2]+X*S[1]+F*S[0];var ye=w[G];G=q+te*S[2]+X*S[1]+F*S[0];var Oe=w[G],ke=le+(he-le)*re,Pe=ye+(Oe-ye)*re;G=q+j*L[2]+_*L[1]+N*L[0],g.values[G]=ke+(Pe-ke)*ee}}else for(var j=0;j<m;++j){var ne=m>1?D*(h-1)+j*H:.5*(D+W)*(h-1);if(ne<0||ne>h-1){for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+N*L[0];g.values[G]=o}continue}for(var _e=Math.round(ne),ht=Math.round(K),q=0;q<d;q++){var St=q+_e*S[2]+ht*S[1]+F*S[0],qe=q+j*L[2]+_*L[1]+N*L[0];g.values[qe]=w[St]}}}}return g.toTensor()},t.prototype.sparseToDense=function(e,i,r,a){var s=T.backend_util.calculateShapes(i,e,r),o=s.sliceRank,l=s.numUpdates,u=s.sliceSize,c=s.strides,h=s.outputSize,d=!1;return this.scatter(e,i,r,h,u,l,o,c,a,d)},t.prototype.gatherND=function(e,i){var r=i.shape,a=r[r.length-1],s=T.backend_util.prepareAndValidate(e,i),o=s[0],l=s[1],u=s[2],c=s[3];if(l===0)return T.tensor([],o,e.dtype);for(var h=new T.TensorBuffer([l,u],e.dtype),d=this.readSync(i.dataId),p=this.readSync(e.dataId),f=0;f<l;f++){for(var m=[],g=0,v=0;v<a;v++){var b=d[f*a+v];g+=b*c[v],m.push(b)}if(g<0||g>=e.size/u)throw new Error("Invalid indices: "+m+" does not index into "+e.shape);for(var w=0;w<u;w++)h.values[f*u+w]=p[g*u+w]}return h.toTensor().reshape(o)},t.prototype.scatterND=function(e,i,r){var a=T.backend_util.calculateShapes(i,e,r),s=a.sliceRank,o=a.numUpdates,l=a.sliceSize,u=a.strides,c=a.outputSize,h=T.scalar(0),d=!0;return this.scatter(e,i,r,c,l,o,s,u,h,d)},t.prototype.fill=function(e,i,r){r=r||T.util.inferDtype(i);var a=T.util.getArrayFromDType(r,T.util.sizeFromShape(e));return a.fill(i),T.engine().makeTensor(a,e,r,this)},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported for string tensors");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var i=T.util.getArrayFromDType(e.dtype,T.util.sizeFromShape(e.shape));return this.makeOutput(i,e.shape,e.dtype)},t.prototype.linspace=function(e,i,r){return T.backend_util.linspaceImpl(e,i,r)},t.prototype.scatter=function(e,i,r,a,s,o,l,u,c,h){var d=[a/s,s],p=this.readSync(e.dataId),f=this.readSync(i.dataId);if(a===0)return T.tensor([],r,i.dtype);var m=new T.TensorBuffer(d,i.dtype);m.values.fill(this.readSync(c.dataId)[0]);for(var g=0;g<o;g++){for(var v=[],b=0,w=0;w<l;w++){var S=p[g*l+w];v.push(S),b+=S*u[w]}if(b<0||b>=a/s)throw new Error("Invalid indices: "+v+" does not index into "+r);for(var L=0;L<s;L++)h?m.values[b*s+L]+=f[g*s+L]:m.values[b*s+L]=i.rank===0?f[0]:f[g*s+L]}return m.toTensor().reshape(r)},t}(T.KernelBackend);function x0(n){for(var t=new Float32Array(n.length),e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}var az=function(n){var t=n.inputs.x,e=n.backend,i=new Float32Array(T.util.sizeFromShape(t.shape));if(t.dtype!=="complex64"){var r=e.data.get(t.dataId).values;i=x0(r)}else for(var a=e.data.get(t.dataId),s=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,l=e.data.get(s.dataId).values,u=e.data.get(o.dataId).values,c=0;c<l.length;c++){var h=l[c],d=u[c];i[c]=Math.hypot(h,d)}return e.makeOutput(i,t.shape,"float32")},sz={kernelName:T.Abs,backendName:"cpu",kernelFunc:az};function gr(n){return function(t,e,i,r,a){var s=T.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,l=T.util.computeStrides(s),u=T.util.sizeFromShape(s),c=T.util.getTypedArrayFromDType(a,u),h=t.length,d=e.length,p=T.util.computeStrides(t),f=T.util.computeStrides(e),m=T.backend_util.getBroadcastDims(t,s),g=T.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(var v=0;v<c.length;++v)c[v]=n(i[v%i.length],r[v%r.length]);else for(var b=function(w){var S=T.util.indexToLoc(w,o,l),L=S.slice(-h);m.forEach(function(D){return L[D]=0});var N=T.util.locToIndex(L,h,p),C=S.slice(-d);g.forEach(function(D){return C[D]=0});var R=T.util.locToIndex(C,d,f);c[w]=n(i[N],r[R])},v=0;v<c.length;++v)b(v);return[c,s]}}function Tn(n){var t=n.inputs,e=n.backend,i=t.real,r=t.imag,a=e.data.get(i.dataId).values,s=e.data.get(r.dataId).values,o=e.makeTensorInfo(i.shape,"complex64"),l=e.data.get(o.dataId);return l.complexTensorInfos={real:e.makeTensorInfo(i.shape,"float32",a),imag:e.makeTensorInfo(r.shape,"float32",s)},o}var oz={kernelName:T.Complex,backendName:"cpu",kernelFunc:Tn};function oa(n){var t=n.inputs,e=n.backend,i=t.x;return e.incRef(i.dataId),{dataId:i.dataId,shape:i.shape,dtype:i.dtype}}var lz={kernelName:T.Identity,backendName:"cpu",kernelFunc:oa};function ds(n){var t=n.inputs,e=n.backend,i=t.input,r=e.data.get(i.dataId).complexTensorInfos.real,a=e.data.get(r.dataId).values;return e.makeTensorInfo(r.shape,r.dtype,a)}var uz={kernelName:T.Real,backendName:"cpu",kernelFunc:ds};function ps(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.dtype;if(a==="complex64"){if(r.dtype==="complex64")return oa({inputs:{x:r},backend:e});var s=T.zeros(r.shape),o=ps({inputs:{x:r},backend:e,attrs:{dtype:"float32"}}),l=Tn({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){var u=ds({inputs:{input:r},backend:e}),l=ps({inputs:{x:u},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(u),l}if(!T.util.hasEncodingLoss(r.dtype,a)){var l=oa({inputs:{x:r},backend:e});return{dataId:l.dataId,shape:l.shape,dtype:a}}if(a==="int32"){var c=e.data.get(r.dataId).values,h=Int32Array.from(c);return e.makeTensorInfo(r.shape,"int32",h)}if(a==="bool"){var d=e.data.get(r.dataId).values,p=T.util.toTypedArray([0],r.dtype),f=gr(function(v,b){return v!==b?1:0})(r.shape,[],d,p,"bool"),m=f[0],g=f[1];return e.makeTensorInfo(g,"bool",m)}throw new Error("Error in Cast: failed to cast "+r.dtype+" to "+a)}var cz={kernelName:T.Cast,backendName:"cpu",kernelFunc:ps};function la(n,t,e,i){return e==null?function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s;ae([l,u],n);var h=c.data.get(l.dataId).values,d=c.data.get(u.dataId).values,p=i||l.dtype,f=t(l.shape,u.shape,h,d,p),m=f[0],g=f[1];return c.makeTensorInfo(g,p,m)}:function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s;if(l.dtype==="complex64"||u.dtype==="complex64"){var h=ps({inputs:{x:l},backend:c,attrs:{dtype:"complex64"}}),d=c.data.get(h.dataId),p=d.complexTensorInfos.real,f=d.complexTensorInfos.imag,m=c.data.get(p.dataId).values,g=c.data.get(f.dataId).values,v=ps({inputs:{x:u},backend:c,attrs:{dtype:"complex64"}}),b=c.data.get(v.dataId),w=b.complexTensorInfos.real,S=b.complexTensorInfos.imag,L=c.data.get(w.dataId).values,N=c.data.get(S.dataId).values,C=e(l.shape,u.shape,m,g,L,N),R=C[0],D=C[1],k=C[2],W=c.makeTensorInfo(k,"float32",R),F=c.makeTensorInfo(k,"float32",D),P=Tn({inputs:{real:W,imag:F},backend:c});return c.disposeIntermediateTensorInfo(h),c.disposeIntermediateTensorInfo(v),c.disposeIntermediateTensorInfo(W),c.disposeIntermediateTensorInfo(F),P}else{var H=c.data.get(l.dataId).values,_=c.data.get(u.dataId).values,K=i||l.dtype,j=t(l.shape,u.shape,H,_,K),q=j[0],k=j[1];return c.makeTensorInfo(k,K,q)}}}function jd(n){return function(t,e,i,r,a,s){var o=T.backend_util.assertAndGetBroadcastShape(t,e),l=T.util.sizeFromShape(o),u=o.length,c=T.util.computeStrides(o),h=T.util.getTypedArrayFromDType("float32",l),d=T.util.getTypedArrayFromDType("float32",l),p=T.backend_util.getBroadcastDims(t,o),f=T.backend_util.getBroadcastDims(e,o),m=T.backend_util.mergeRealAndImagArrays(i,r),g=T.backend_util.mergeRealAndImagArrays(a,s),v=t.length,b=T.util.computeStrides(t),w=e.length,S=T.util.computeStrides(e);if(p.length+f.length===0)for(var L=0;L<h.length;L++){var N=L%m.length,C=L%g.length,R=n(m[N*2],m[N*2+1],g[C*2],g[C*2+1]);h[L]=R.real,d[L]=R.imag}else for(var D=function(k){var W=T.util.indexToLoc(k,u,c),F=W.slice(-v);p.forEach(function(j){return F[j]=0});var P=T.util.locToIndex(F,v,b),H=W.slice(-w);f.forEach(function(j){return H[j]=0});var _=T.util.locToIndex(H,w,S),K=n(m[P*2],m[P*2+1],g[_*2],g[_*2+1]);h[k]=K.real,d[k]=K.imag},L=0;L<h.length;L++)D(L);return[h,d,o]}}var C0=gr(function(n,t){return n+t}),hz=jd(function(n,t,e,i){return{real:n+e,imag:t+i}}),R0=la(T.Add,C0,hz),dz={kernelName:T.Add,backendName:"cpu",kernelFunc:R0};function ua(n){return function(t,e,i){for(var r=T.util.getTypedArrayFromDType(e,t.length),a=0;a<t.length;++a)r[a]=n(t[a],i);return r}}function je(n,t,e){return function(i){var r=i.inputs,a=i.attrs,s=i.backend,o=r.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");for(var l=s,u=l.data.get(o.dataId).values,c=T.util.sizeFromShape(o.shape),h=e||o.dtype,d=T.util.getArrayFromDType(h,c),p=0;p<c;++p)d[p]=t(u[p],a);return l.makeTensorInfo(o.shape,h,d)}}function ca(n,t,e){return function(i){var r=i.inputs,a=i.attrs,s=i.backend,o=r.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");var l=s,u=l.data.get(o.dataId).values,c=e||o.dtype,h=t(u,c,a);return l.makeTensorInfo(o.shape,c,h)}}var O0=ua(function(n){return Math.ceil(n)}),pz=ca(T.Ceil,O0),fz={kernelName:T.Ceil,backendName:"cpu",kernelFunc:pz};var E0=ua(function(n){return Math.exp(n)}),mz=ca(T.Exp,E0),gz={kernelName:T.Exp,backendName:"cpu",kernelFunc:mz};var D0=ua(function(n){return Math.expm1(n)}),vz=ca(T.Expm1,D0),yz={kernelName:T.Expm1,backendName:"cpu",kernelFunc:vz};var k0=ua(function(n){return Math.floor(n)}),bz=ca(T.Floor,k0),wz={kernelName:T.Floor,backendName:"cpu",kernelFunc:bz};var F0=ua(function(n){return Math.log(n)}),Sz=ca(T.Log,F0),Lz={kernelName:T.Log,backendName:"cpu",kernelFunc:Sz};function W0(n,t,e,i){for(var r=T.util.getTypedArrayFromDType(i,T.util.sizeFromShape(e)),a=0;a<r.length;++a){for(var s=a*t,o=n[s],l=0;l<t;++l){var u=n[s+l];u>o&&(o=u)}r[a]=o}return r}var U0=gr(function(n,t){return n*t}),Iz=jd(function(n,t,e,i){return{real:n*e-t*i,imag:n*i+t*e}}),B0=la(T.Multiply,U0,Iz),Az={kernelName:T.Multiply,backendName:"cpu",kernelFunc:B0};var z0=ua(function(n){return 1/Math.sqrt(n)}),Tz=ca(T.Rsqrt,z0),Nz={kernelName:T.Rsqrt,backendName:"cpu",kernelFunc:Tz};function P0(n,t,e,i,r){var a=T.slice_util.isSliceContinous(i,t,e),s=T.util.sizeFromShape(e),o=T.util.computeStrides(i);if(a){var l=T.slice_util.computeFlatOffset(t,o);return n.subarray(l,l+s)}for(var u=T.util.getTypedArrayFromDType(r,s),c=0;c<s;++c){var h=e.length,d=T.util.computeStrides(e),p=T.util.indexToLoc(c,h,d),f=p.map(function(g,v){return g+t[v]}),m=T.util.locToIndex(f,i.length,o);u[c]=n[m]}return u}function $d(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.begin,s=i.size;ae(r,"slice");var o=T.slice_util.parseSliceParams(r,a,s),l=o[0],u=o[1];T.slice_util.assertParamsValid(r,l,u);var c=e.data.get(r.dataId).values,h=P0(c,l,u,r.shape,r.dtype);return e.makeTensorInfo(u,r.dtype,h)}var xz={kernelName:T.Slice,backendName:"cpu",kernelFunc:$d};var _0=gr(function(n,t){return n-t}),Cz=jd(function(n,t,e,i){return{real:n-e,imag:t-i}}),M0=la(T.Sub,_0,Cz),Rz={kernelName:T.Sub,backendName:"cpu",kernelFunc:M0};function Xd(n,t,e,i,r){for(var a=t.length,s=T.util.sizeFromShape(t),o=T.util.computeStrides(t),l=T.util.computeStrides(r),u=T.util.getTypedArrayFromDType(e,T.util.sizeFromShape(r)),c=0;c<s;++c){for(var h=T.util.indexToLoc(c,a,o),d=new Array(h.length),p=0;p<d.length;p++)d[p]=h[i[p]];var f=T.util.locToIndex(d,a,l);u[f]=n[c]}return u}function H0(n,t,e,i){for(var r=T.util.parseAxisParam(t,e)[0],a=[1,e[0],1],s=0;s<r;s++)a[0]*=e[s];a[1]=e[r];for(var s=r+1;s<e.length;s++)a[2]*=e[s];for(var o={},l=new Int32Array(e[r]),u=new T.TensorBuffer(a,i,n),c=[],h=a[0]===1&&a[2]===1,s=0;s<e[r];s++){var d=void 0;if(h)d=n[s].toString();else{for(var p=[],f=0;f<a[0];f++)for(var m=0;m<a[2];m++)p.push(u.get(f,s,m));d=p.join(",")}if(o[d]!==void 0)l[s]=o[d];else{var g=Object.keys(o).length;o[d]=g,l[s]=g,c.push(s)}}var v=a.slice();v[1]=Object.keys(o).length;var b=new T.TensorBuffer(v,i);c.forEach(function(S,L){for(var N=0;N<a[0];N++)for(var C=0;C<a[2];C++)b.set(u.get(N,S,C),N,L,C)});var w=e.slice();return w[r]=v[1],{outputValues:b.values,outputShape:w,indices:l}}var Oz={__proto__:null,simpleAbsImpl:x0,addImpl:C0,ceilImpl:O0,expImpl:E0,expm1Impl:D0,floorImpl:k0,logImpl:F0,maxImpl:W0,multiplyImpl:U0,rsqrtImpl:z0,sliceImpl:P0,subImpl:_0,transposeImpl:Xd,uniqueImpl:H0};var Ez="2.6.0";T.registerBackend("cpu",function(){return new N0},1);var Dz=je(T.Acos,function(n){return Math.acos(n)}),kz={kernelName:T.Acos,backendName:"cpu",kernelFunc:Dz};var Fz=je(T.Acosh,function(n){return Math.acosh(n)}),Wz={kernelName:T.Acosh,backendName:"cpu",kernelFunc:Fz};var Uz=je(T.Asin,function(n){return Math.asin(n)}),Bz={kernelName:T.Asin,backendName:"cpu",kernelFunc:Uz};var zz=je(T.Asinh,function(n){return Math.asinh(n)}),Pz={kernelName:T.Asinh,backendName:"cpu",kernelFunc:zz};var _z=je(T.Atan,function(n){return Math.atan(n)}),Mz={kernelName:T.Atan,backendName:"cpu",kernelFunc:_z};var Hz=je(T.Atanh,function(n){return Math.atanh(n)}),Vz={kernelName:T.Atanh,backendName:"cpu",kernelFunc:Hz};function Jd(n,t,e,i,r,a){for(var s=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=r.padInfo.top,p=r.padInfo.left,f=a==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=T.buffer(r.outShape,e),g=m.values,v=r.outShape[1]*r.outShape[2]*r.outShape[3],b=r.outShape[2]*r.outShape[3],w=r.outShape[3],S=0;S<r.batchSize;++S)for(var L=S*v,N=S*i[0],C=0;C<r.inChannels;++C)for(var R=0;R<r.outHeight;++R)for(var D=R*s-d,k=Math.max(0,D),W=Math.min(r.inHeight,c+D),F=L+R*b,P=0;P<r.outWidth;++P){for(var H=P*o-p,_=Math.max(0,H),K=Math.min(r.inWidth,h+H),j=f,q=0,G=0,Z=k;Z<W;Z+=l){for(var X=N+Z*i[1],ee=_;ee<K;ee+=u){var ne=X+ee*i[2],ie=n[ne+C];a==="max"&&ie>j?j=ie:a==="avg"&&(q+=ie,G++)}if(isNaN(j))break}var te=F+P*w+C;g[te]=a==="avg"?q/G:j}return m}function V0(n,t,e,i,r,a){r===void 0&&(r=!1),a===void 0&&(a=!1);for(var s=T.buffer(i.outShape,"int32"),o=i.strideHeight,l=i.strideWidth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterHeight,d=i.effectiveFilterWidth,p=i.padInfo.top,f=i.padInfo.left,m=T.buffer(t,e,n),g=0;g<i.batchSize;++g)for(var v=0;v<i.inChannels;++v)for(var b=0;b<i.outHeight;++b){for(var w=b*o-p,S=w;S<0;)S+=u;for(var L=Math.min(i.inHeight,h+w),N=0;N<i.outWidth;++N){for(var C=N*l-f,R=C;R<0;)R+=c;for(var D=Math.min(i.inWidth,d+C),k=Number.NEGATIVE_INFINITY,W=-1,F=S;F<L;F+=u)for(var P=F-w,H=R;H<D;H+=c){var _=H-C,K=m.get(g,F,H,v);K>k&&(k=K,r?W=a?((g*i.inHeight+F)*i.inWidth+H)*i.inChannels+v:(F*i.inWidth+H)*i.inChannels+v:W=P*d+_)}s.set(W,g,b,N,v)}}return s}function qz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;ae(r,"avgPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;T.util.assert(T.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=T.backend_util.computePool2DInfo(r.shape,a,s,u,o,l),h;if(c.filterWidth===1&&c.filterHeight===1&&T.util.arraysEqual(c.inShape,c.outShape))h=oa({inputs:{x:r},backend:e});else{var d=e.data.get(r.dataId).values,p=T.util.computeStrides(r.shape),f=Jd(d,r.shape,r.dtype,p,c,"avg");h=e.makeTensorInfo(c.outShape,r.dtype,f.values)}return h}var Gz={kernelName:T.AvgPool,backendName:"cpu",kernelFunc:qz};function Yz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=a;ae([r,a],"avgPoolBackprop");for(var o=i.filterSize,l=i.strides,u=i.pad,c=T.backend_util.computePool2DInfo(s.shape,o,l,1,u),h=c.strideHeight,d=c.strideWidth,p=c.filterHeight,f=c.filterWidth,m=c.dilationHeight,g=c.dilationWidth,v=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,S=v-1-c.padInfo.top,L=T.buffer(s.shape,"float32"),N=1/(p*f),C=e.data.get(r.dataId).values,R=T.buffer(r.shape,"float32",C),D=0;D<c.batchSize;++D)for(var k=0;k<c.inChannels;++k)for(var W=0;W<c.inHeight;++W)for(var F=0;F<c.inWidth;++F){for(var P=W-S,H=F-w,_=0,K=0;K<v;K+=m){var j=(P+K)/h;if(j<0||j>=c.outHeight||Math.floor(j)!==j)continue;for(var q=0;q<b;q+=g){var G=(H+q)/d;if(G<0||G>=c.outWidth||Math.floor(G)!==G)continue;var Z=R.get(D,j,G,k);_+=Z}}L.set(_*N,D,W,F,k)}return e.makeTensorInfo(L.shape,L.dtype,L.values)}var Kz={kernelName:T.AvgPoolBackprop,backendName:"cpu",kernelFunc:Yz};function jz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=t.scale,s=t.offset,o=t.mean,l=t.variance;T.util.assert(o.shape.length===l.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),T.util.assert(s==null||o.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),T.util.assert(a==null||o.shape.length===a.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),ae([r,o,l,a,s],"batchNorm");var u=i.varianceEpsilon;u==null&&(u=.001);for(var c=e.data.get(r.dataId).values,h=e.data.get(o.dataId).values,d=e.data.get(l.dataId).values,p=a?e.data.get(a.dataId).values:new Float32Array([1]),f=s?e.data.get(s.dataId).values:new Float32Array([0]),m=new Float32Array(c.length),g=f.length,v=p.length,b=d.length,w=h.length,S=0,L=0,N=0,C=0,R=0;R<c.length;++R)m[R]=f[S++]+(c[R]-h[L++])*p[N++]/Math.sqrt(d[C++]+u),S>=g&&(S=0),L>=w&&(L=0),N>=v&&(N=0),C>=b&&(C=0);return e.makeTensorInfo(r.shape,r.dtype,m)}var $z={kernelName:T.FusedBatchNorm,backendName:"cpu",kernelFunc:jz};var Xz=je(T.ClipByValue,function(n,t){var e=t;return n>e.clipValueMax?e.clipValueMax:n<e.clipValueMin?e.clipValueMin:n}),Jz={kernelName:T.ClipByValue,backendName:"cpu",kernelFunc:Xz};function Xo(n){var t=n.inputs,e=n.backend,i=t.input,r=e.data.get(i.dataId).complexTensorInfos.imag,a=e.data.get(r.dataId).values;return e.makeTensorInfo(r.shape,r.dtype,a)}var Zz={kernelName:T.Imag,backendName:"cpu",kernelFunc:Xo};function Di(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.shape,s=T.util.sizeFromShape(r.shape),o=T.util.inferFromImplicitShape(a,s),l=T.util.sizeFromShape(o);T.util.assert(s===l,function(){return"The new shape ("+o+") has "+l+" elements and the old "+("shape ("+r.shape+") has "+s+" elements. The new shape and old ")+"shape must have the same number of elements."}),e.incRef(r.dataId);var u=e.data.get(r.dataId);if(u.complexTensorInfos!=null){var c=u.complexTensorInfos.real,h=u.complexTensorInfos.imag;c.shape=o,h.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var Qz={kernelName:T.Reshape,backendName:"cpu",kernelFunc:Di};function fs(n){var t=n.inputs,e=n.backend,i=n.attrs,r=i.axis,a=T.util.parseAxisParam(r,t[0].shape)[0],s=T.backend_util.computeOutShape(t.map(function(S){return S.shape}),a);if(T.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(S){return T.util.sizeFromShape(S.shape)>0});if(o.length===1)return o[0];var l=o.map(function(S){return S.shape});if(T.backend_util.assertParamsConsistent(l,a),o[0].dtype==="complex64"){var u=o.map(function(S){return ds({inputs:{input:S},backend:e})}),c=o.map(function(S){return Xo({inputs:{input:S},backend:e})}),h=fs({inputs:u,backend:e,attrs:{axis:r}}),d=fs({inputs:c,backend:e,attrs:{axis:r}}),p=Tn({inputs:{real:h,imag:d},backend:e});return u.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),c.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}var f=o.map(function(S){var L=T.util.sizeFromShape(S.shape.slice(a)),N=[-1,L];return Di({inputs:{x:S},backend:e,attrs:{shape:N}})});s=T.backend_util.computeOutShape(f.map(function(S){return S.shape}),1);var m=T.util.getTypedArrayFromDType(o[0].dtype,T.util.sizeFromShape(s));if(f[0].shape[0]===1){var g=0;f.forEach(function(S){var L=e.data.get(S.dataId).values,N=T.util.sizeFromShape(S.shape);m.set(L,g),g+=N})}else{var v=0;f.forEach(function(S){for(var L=e.data.get(S.dataId).values,N=0,C=0;C<S.shape[0];++C)for(var R=C*s[1]+v,D=0;D<S.shape[1];++D)m[R+D]=L[N++];v+=S.shape[1]})}var b=T.backend_util.computeOutShape(o.map(function(S){return S.shape}),a),w=e.makeTensorInfo(b,t[0].dtype,m);return f.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),w}var eP={kernelName:T.Concat,backendName:"cpu",kernelFunc:fs};var tP=je(T.Cos,function(n){return Math.cos(n)}),nP={kernelName:T.Cos,backendName:"cpu",kernelFunc:tP};var iP=je(T.Cosh,function(n){return Math.cosh(n)}),rP={kernelName:T.Cosh,backendName:"cpu",kernelFunc:iP};var aP={kernelName:T.Dilation2D,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=i,l=o.strides,u=o.pad,c=o.dilations,h=e,d=h.data.get(a.dataId).values,p=a.shape.length,f=h.data.get(s.dataId).values,m=s.shape.length,g=T.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",c),v=g.batchSize,b=g.inHeight,w=g.inWidth,S=g.inChannels,L=g.outHeight,N=g.outWidth,C=g.padInfo,R=g.strideHeight,D=g.strideWidth,k=g.filterHeight,W=g.filterWidth,F=g.dilationHeight,P=g.dilationWidth,H=g.outShape,_=T.util.sizeFromShape(H),K=H.length,j=T.util.getArrayFromDType(a.dtype,_),q=0;q<v;++q)for(var G=0;G<L;++G)for(var Z=G*R-C.top,X=0;X<N;++X)for(var ee=X*D-C.left,ne=0;ne<S;++ne){for(var ie=Number.MIN_SAFE_INTEGER,te=0;te<k;++te){var re=Z+te*F;if(re>=0&&re<b)for(var le=0;le<W;++le){var he=ee+le*P;if(he>=0&&he<w){var ye=T.util.locToIndex([q,re,he,ne],p,T.util.computeStrides(a.shape)),Oe=T.util.locToIndex([te,le,ne],m,T.util.computeStrides(s.shape)),ke=d[ye]+f[Oe];ke>ie&&(ie=ke)}}}var Pe=T.util.locToIndex([q,G,X,ne],K,T.util.computeStrides(H));j[Pe]=ie}var _e=h.write(T.util.toTypedArray(j,a.dtype),H,a.dtype);return{dataId:_e,shape:H,dtype:a.dtype}}};var sP={kernelName:T.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=r.dy,l=i,u=l.strides,c=l.pad,h=l.dilations,d=e,p=T.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=T.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=T.backend_util.computeDilation2DInfo(a.shape,s.shape,u,c,"NHWC",h),g=m.batchSize,v=m.inHeight,b=m.inWidth,w=m.inChannels,S=m.outHeight,L=m.outWidth,N=m.padInfo,C=m.strideHeight,R=m.strideWidth,D=m.filterHeight,k=m.filterWidth,W=m.dilationHeight,F=m.dilationWidth,P=m.outShape;T.util.assert(o.rank===P.length,function(){return"Error in "+T.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+P.length+", but got ")+(""+o.rank)});for(var H=T.util.toNestedArray(P,d.data.get(o.dataId).values),_=T.util.makeZerosNestedTypedArray(s.shape,s.dtype),K=0;K<g;++K)for(var j=0;j<S;++j)for(var q=j*C-N.top,G=0;G<L;++G)for(var Z=G*R-N.left,X=0;X<w;++X){for(var ee=Number.MIN_SAFE_INTEGER,ne=0,ie=0,te=0;te<D;++te){var re=q+te*W;if(re>=0&&re<v)for(var le=0;le<k;++le){var he=Z+le*F;if(he>=0&&he<b){var ye=p[K][re][he][X]+f[te][le][X];ye>ee&&(ee=ye,ne=te,ie=le)}}}_[ne][ie][X]+=H[K][j][G][X]}var Oe=d.write(T.util.toTypedArray(_,a.dtype),s.shape,s.dtype);return{dataId:Oe,shape:s.shape,dtype:s.dtype}}};var oP={kernelName:T.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=r.dy,l=i,u=l.strides,c=l.pad,h=l.dilations,d=e,p=T.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=T.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=T.backend_util.computeDilation2DInfo(a.shape,s.shape,u,c,"NHWC",h),g=m.batchSize,v=m.inHeight,b=m.inWidth,w=m.inChannels,S=m.outHeight,L=m.outWidth,N=m.padInfo,C=m.strideHeight,R=m.strideWidth,D=m.filterHeight,k=m.filterWidth,W=m.dilationHeight,F=m.dilationWidth,P=m.outShape;T.util.assert(o.rank===P.length,function(){return"Error in "+T.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+P.length+", but got ")+(""+o.rank)});for(var H=T.util.toNestedArray(P,d.data.get(o.dataId).values),_=T.util.makeZerosNestedTypedArray(a.shape,a.dtype),K=0;K<g;++K)for(var j=0;j<S;++j)for(var q=j*C-N.top,G=0;G<L;++G)for(var Z=G*R-N.left,X=0;X<w;++X){for(var ee=Number.MIN_SAFE_INTEGER,ne=q<0?0:q,ie=Z<0?0:Z,te=0;te<D;++te){var re=q+te*W;if(re>=0&&re<v)for(var le=0;le<k;++le){var he=Z+le*F;if(he>=0&&he<b){var ye=p[K][re][he][X]+f[te][le][X];ye>ee&&(ee=ye,ne=re,ie=he)}}}_[K][ne][ie][X]+=H[K][j][G][X]}var Oe=d.write(T.util.toTypedArray(_,a.dtype),a.shape,a.dtype);return{dataId:Oe,shape:a.shape,dtype:a.dtype}}};var lP=gr(function(n,t){return n/t}),uP=la(T.Div,lP),Zd={kernelName:T.Div,backendName:"cpu",kernelFunc:uP};var cP=je(T.Elu,function(n){return n>=0?n:Math.exp(n)-1}),hP={kernelName:T.Elu,backendName:"cpu",kernelFunc:cP};var dP=T.backend_util.ERF_P,pP=T.backend_util.ERF_A1,fP=T.backend_util.ERF_A2,mP=T.backend_util.ERF_A3,gP=T.backend_util.ERF_A4,vP=T.backend_util.ERF_A5,yP=je(T.Erf,function(n){var t=Math.sign(n),e=Math.abs(n),i=1/(1+dP*e);return t*(1-((((vP*i+gP)*i+mP)*i+fP)*i+pP)*i*Math.exp(-e*e))}),bP={kernelName:T.Erf,backendName:"cpu",kernelFunc:yP};function q0(n,t,e){for(var i=n.shape,r=i[0],a=i[1],s=e.data.get(n.dataId),o=s.complexTensorInfos.real,l=s.complexTensorInfos.imag,u=[r,a],c=T.util.sizeFromShape(u),h=T.util.getTypedArrayFromDType("float32",c),d=T.util.getTypedArrayFromDType("float32",c),p=0;p<r;p++){for(var f=$d({inputs:{x:o},backend:e,attrs:{begin:[p,0],size:[1,a]}}),m=$d({inputs:{x:l},backend:e,attrs:{begin:[p,0],size:[1,a]}}),g=Tn({inputs:{real:f,imag:m},backend:e}),v=wP(g,t,e),b=v.real,w=v.imag,S=T.backend_util.mergeRealAndImagArrays(b,w),L=0;L<a;L++){var N=T.backend_util.getComplexWithIndex(S,L);h[p*a+L]=N.real,d[p*a+L]=N.imag}e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g)}var C=e.makeTensorInfo(u,"float32",h),R=e.makeTensorInfo(u,"float32",d),D=Tn({inputs:{real:C,imag:R},backend:e});return e.disposeIntermediateTensorInfo(C),e.disposeIntermediateTensorInfo(R),D}function wP(n,t,e){var i=T.util.sizeFromShape(n.shape),r=e.data.get(n.dataId),a=e.data.get(r.complexTensorInfos.real.dataId).values,s=e.data.get(r.complexTensorInfos.imag.dataId).values;if(SP(i)){var o=Qd(a,s,i,t,e),l=[n.shape[0],n.shape[1]];if(t){var u=e.makeTensorInfo(l,"float32",o.real),c=e.makeTensorInfo(l,"float32",o.imag),h=e.makeTensorInfo([],"float32",T.util.createScalarValue(i,"float32")),d=oa({inputs:{x:h},backend:e}),p=Zd.kernelFunc({inputs:{a:u,b:h},backend:e}),f=Zd.kernelFunc({inputs:{a:c,b:d},backend:e}),m=e.data.get(p.dataId).values,g=e.data.get(f.dataId).values;return e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),{real:m,imag:g}}return o}else{var v=T.backend_util.mergeRealAndImagArrays(a,s),b=LP(v,i,t);return T.backend_util.splitRealAndImagArrays(b)}}function SP(n){return(n&n-1)===0}function Qd(n,t,e,i,r){if(e===1)return{real:n,imag:t};var a=T.backend_util.mergeRealAndImagArrays(n,t),s=e/2,o=T.backend_util.complexWithEvenIndex(a),l=o.real,u=o.imag,c=[l.length],h=r.makeTensorInfo(c,"float32",l),d=r.makeTensorInfo(c,"float32",u),p=Tn({inputs:{real:h,imag:d},backend:r}),f=T.backend_util.complexWithOddIndex(a),m=f.real,g=f.imag,v=[m.length],b=r.makeTensorInfo(v,"float32",m),w=r.makeTensorInfo(v,"float32",g),S=Tn({inputs:{real:b,imag:w},backend:r}),L=Qd(l,u,s,i,r),N=L.real,C=L.imag,R=[N.length],D=r.makeTensorInfo(R,"float32",N),k=r.makeTensorInfo(R,"float32",C),W=Tn({inputs:{real:D,imag:k},backend:r}),F=Qd(m,g,s,i,r),P=F.real,H=F.imag,_=[P.length],K=r.makeTensorInfo(_,"float32",P),j=r.makeTensorInfo(_,"float32",H),q=Tn({inputs:{real:K,imag:j},backend:r}),G=T.backend_util.exponents(e,i),Z=[G.real.length],X=r.makeTensorInfo(Z,"float32",G.real),ee=r.makeTensorInfo(Z,"float32",G.imag),ne=Tn({inputs:{real:X,imag:ee},backend:r}),ie=B0({inputs:{a:ne,b:q},backend:r}),te=R0({inputs:{a:W,b:ie},backend:r}),re=M0({inputs:{a:W,b:ie},backend:r}),le=ds({inputs:{input:te},backend:r}),he=ds({inputs:{input:re},backend:r}),ye=Xo({inputs:{input:te},backend:r}),Oe=Xo({inputs:{input:re},backend:r}),ke=fs({inputs:[le,he],backend:r,attrs:{axis:0}}),Pe=fs({inputs:[ye,Oe],backend:r,attrs:{axis:0}}),_e=r.data.get(ke.dataId).values,ht=r.data.get(Pe.dataId).values;return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(d),r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(b),r.disposeIntermediateTensorInfo(w),r.disposeIntermediateTensorInfo(S),r.disposeIntermediateTensorInfo(D),r.disposeIntermediateTensorInfo(k),r.disposeIntermediateTensorInfo(W),r.disposeIntermediateTensorInfo(K),r.disposeIntermediateTensorInfo(j),r.disposeIntermediateTensorInfo(q),r.disposeIntermediateTensorInfo(X),r.disposeIntermediateTensorInfo(ee),r.disposeIntermediateTensorInfo(ne),r.disposeIntermediateTensorInfo(ie),r.disposeIntermediateTensorInfo(te),r.disposeIntermediateTensorInfo(re),r.disposeIntermediateTensorInfo(le),r.disposeIntermediateTensorInfo(ye),r.disposeIntermediateTensorInfo(he),r.disposeIntermediateTensorInfo(Oe),r.disposeIntermediateTensorInfo(ke),r.disposeIntermediateTensorInfo(Pe),{real:_e,imag:ht}}function LP(n,t,e){for(var i=new Float32Array(t*2),r=0;r<t;r++){for(var a=0,s=0,o=0;o<t;o++){var l=T.backend_util.exponent(r*o,t,e),u=T.backend_util.getComplexWithIndex(n,o);a+=u.real*l.real-u.imag*l.imag,s+=u.real*l.imag+u.imag*l.real}e&&(a/=t,s/=t),T.backend_util.assignToTypedArray(i,a,s,r)}return i}function IP(n){var t=n.inputs,e=n.backend,i=t.input,r=T.util.sizeFromShape(i.shape),a=i.shape[i.shape.length-1],s=r/a,o=Di({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=q0(o,!1,e),u=Di({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var AP={kernelName:T.FFT,backendName:"cpu",kernelFunc:IP};var TP={kernelName:T.FlipLeftRight,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,i=n.backend,r=t.image,a=i,s=T.util.getTypedArrayFromDType(r.dtype,T.util.sizeFromShape(r.shape)),o=r.shape,l=o[0],u=o[1],c=o[2],h=o[3],d=a.data.get(r.dataId).values,p=0;p<l;p++)for(var f=p*c*u*h,m=0;m<u;m++)for(var g=m*(c*h),v=0;v<c;v++)for(var b=v*h,w=0;w<h;w++){var S=[l,m,v,w],L=S[2],N=Math.round(c-L),C=f+g+b+w,R=d[C];if(N>=0&&N<c){var D=N*h,k=f+g+D+w;R=d[k]}s[C]=R}var W=a.write(s,r.shape,r.dtype);return{dataId:W,shape:r.shape,dtype:r.dtype}}};function NP(n){var t=n.inputs,e=n.backend,i=t.input,r=T.util.sizeFromShape(i.shape),a=i.shape[i.shape.length-1],s=r/a,o=Di({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=q0(o,!0,e),u=Di({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var xP={kernelName:T.IFFT,backendName:"cpu",kernelFunc:NP};var CP=je(T.IsFinite,function(n){return Number.isFinite(n)?1:0},"bool"),RP={kernelName:T.IsFinite,backendName:"cpu",kernelFunc:CP};var OP=je(T.IsInf,function(n){return Math.abs(n)===Infinity?1:0},"bool"),EP={kernelName:T.IsInf,backendName:"cpu",kernelFunc:OP};var DP=je(T.IsNan,function(n){return Number.isNaN(n)?1:0},"bool"),kP={kernelName:T.IsNan,backendName:"cpu",kernelFunc:DP};var FP=je(T.Log1p,function(n){return 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HP={kernelName:T.MaxPoolBackprop,backendName:"cpu",kernelFunc:MP};function VP(n,t,e,i,r){var a=T.util.computeStrides(t),s=Jd(n,t,e,a,r,"max"),o=V0(n,t,e,r,!0,i);return[s.values,o.values]}var qP={kernelName:T.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.filterSize,o=a.strides,l=a.pad,u=a.includeBatchInIndex,c=i;ae(r,"MaxPoolWithArgmax");var h=c.data.get(r.dataId).values,d=T.backend_util.computePool2DInfo(r.shape,s,o,[1,1],l),p=VP(h,r.shape,r.dtype,u,d),f=p[0],m=p[1],g=c.write(f,d.outShape,r.dtype),v=c.write(m,d.outShape,r.dtype);return[{dataId:g,shape:d.outShape,dtype:r.dtype},{dataId:v,shape:d.outShape,dtype:"int32"}]}};var GP=T.kernel_impls.nonMaxSuppressionV4Impl,YP={kernelName:T.NonMaxSuppressionV4,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.padToMaxOutputSize,d=e;ae(a,"NonMaxSuppressionPadded");var 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          }
        }
        setOutput(float(bestIndex));
      }
    `}return n}();function LS(n,t){return["x","y","z","w","u","v"].slice(0,t).map(function(e){return n+"."+e})}function Jt(n,t){return t===1?[n]:LS(n,t)}function EM(n,t){if(n===1)return"rc";for(var e="",i=0;i<n;i++)e+=t[i],i<n-1&&(e+=",");return e}function Wt(){var n,t,e,i,r,a,s,o,l,u;return x.env().getNumber("WEBGL_VERSION")===2?(n="#version 300 es",t="in",e="out",i="in",r="texture",a="outputColor",s="out vec4 outputColor;",o=`
      bool isnan_custom(float val) {
        return (val > 0.0 || val < 0.0) ? false : val != 0.0;
      }

      bvec4 isnan_custom(vec4 val) {
        return bvec4(isnan_custom(val.x),
          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));
      }

      #define isnan(value) isnan_custom(value)
    `,l="",u=`
      #define round(value) newRound(value)
      int newRound(float value) {
        return int(floor(value + 0.5));
      }

      ivec4 newRound(vec4 value) {
        return ivec4(floor(value + vec4(0.5)));
      }
    `):(n="",t="attribute",e="varying",i="varying",r="texture2D",a="gl_FragColor",s="",o=`
      #define isnan(value) isnan_custom(value)
      bool isnan_custom(float val) {
        return (val > 0. || val < 1. || val == 0.) ? false : true;
      }
      bvec4 isnan_custom(vec4 val) {
        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
      }
    `,l=`
      uniform float INFINITY;

      bool isinf(float val) {
        return abs(val) == INFINITY;
      }
      bvec4 isinf(vec4 val) {
        return equal(abs(val), vec4(INFINITY));
      }
    `,u=`
      int round(float value) {
        return int(floor(value + 0.5));
      }

      ivec4 round(vec4 value) {
        return ivec4(floor(value + vec4(0.5)));
      }
    `),{version:n,attribute:t,varyingVs:e,varyingFs:i,texture2D:r,output:a,defineOutput:s,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function wr(n,t,e){e===void 0&&(e="index");var i=x.util.computeStrides(t);return i.map(function(r,a){var s="int "+n[a]+" = "+e+" / "+r,o=a===i.length-1?"int "+n[a+1]+" = "+e+" - "+n[a]+" * "+r:"index -= "+n[a]+" * "+r;return s+"; "+o+";"}).join("")}function up(n){var t=x.util.computeStrides(n).map(function(e){return e.toString()});return`
  int getFlatIndex(ivec3 coords) {
    return coords.x * `+t[0]+" + coords.y * "+t[1]+` + coords.z;
  }
`}var IS=`
  const float FLOAT_MAX = 1.70141184e38;
  const float FLOAT_MIN = 1.17549435e-38;

  lowp vec4 encode_float(highp float v) {
    if (isnan(v)) {
      return vec4(255, 255, 255, 255);
    }

    highp float av = abs(v);

    if(av < FLOAT_MIN) {
      return vec4(0.0, 0.0, 0.0, 0.0);
    } else if(v > FLOAT_MAX) {
      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
    } else if(v < -FLOAT_MAX) {
      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;
    }

    highp vec4 c = vec4(0,0,0,0);

    highp float e = floor(log2(av));
    highp float m = exp2(fract(log2(av))) - 1.0;

    c[2] = floor(128.0 * m);
    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;
  }
`;var AS=x.backend_util.getBroadcastDims;function _M(n,t,e,i){var r=[];n.forEach(function(f){var m=x.util.sizeFromShape(f.shapeInfo.logicalShape);f.shapeInfo.isUniform?r.push("uniform float "+f.name+(m>1?"["+m+"]":"")+";"):(r.push("uniform sampler2D "+f.name+";"),r.push("uniform int offset"+f.name+";"))});var a=r.join(`
`),s=n.map(function(f){return DM(f,t,i)}).join(`
`),o=t.texShape,l=Wt(),u=WM(l),c,h,d=zM(l);t.isPacked?(c=kM(t.logicalShape,o),h=BM(l)):(c=FM(t.logicalShape,o),h=UM(l)),i&&(d+=PM);var p=[d,u,h,a,c,s,e].join(`
`);return p}function fa(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return MM(n);case 1:return HM(n);case 2:return VM(n);case 3:return qM(n);case 4:return GM(n);case 5:return YM(n);case 6:return KM(n);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function TS(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return jM(n);case 1:return $M(n);case 2:return XM(n);case 3:return JM(n);default:return ZM(n)}}function DM(n,t,e){e===void 0&&(e=!1);var i="";e?i+=TS(n):i+=fa(n);var r=n.shapeInfo.logicalShape,a=t.logicalShape;return r.length<=a.length&&(e?i+=QM(n,t):i+=e5(n,t)),i}function kM(n,t){switch(n.length){case 0:return NS();case 1:return t5(n,t);case 2:return r5(n,t);case 3:return n5(n,t);default:return i5(n,t)}}function FM(n,t){switch(n.length){case 0:return NS();case 1:return a5(n,t);case 2:return c5(n,t);case 3:return s5(n,t);case 4:return o5(n,t);case 5:return l5(n,t);case 6:return u5(n,t);default:throw new Error(n.length+"-D output sampling is not yet supported")}}function WM(n){return`
    float sampleTexture(sampler2D textureSampler, vec2 uv) {
      return `+n.texture2D+`(textureSampler, uv).r;
    }
  `}function UM(n){return`
    void setOutput(float val) {
      `+n.output+` = vec4(val, 0, 0, 0);
    }
  `}function BM(n){return`
    void setOutput(vec4 val) {
      `+n.output+` = val;
    }
  `}function zM(n){var t=n.version+`
    precision highp float;
    precision highp int;
    precision highp sampler2D;
    `+n.varyingFs+` vec2 resultUV;
    `+n.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;
    `+n.defineSpecialNaN+`
    `+n.defineSpecialInf+`
    `+n.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);
    }

    `+h5+`
    `+d5+`
    `+p5+`
  `;return t}var h5=`
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);
}
`,d5=`
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);
}
`,p5=`
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);
}
`,PM=`
  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 NS(){return`
    int getOutputCoords() {
      return 0;
    }
  `}function t5(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return e[0]===1?`
      int getOutputCoords() {
        return 2 * int(resultUV.x * `+e[1]+`.0);
      }
    `:e[1]===1?`
      int getOutputCoords() {
        return 2 * int(resultUV.y * `+e[0]+`.0);
      }
    `:`
    int getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+e[0]+", "+e[1]+`));
      return 2 * (resTexRC.x * `+e[1]+` + resTexRC.y);
    }
  `}function a5(n,t){return t[0]===1?`
      int getOutputCoords() {
        return int(resultUV.x * `+t[1]+`.0);
      }
    `:t[1]===1?`
      int getOutputCoords() {
        return int(resultUV.y * `+t[0]+`.0);
      }
    `:`
    int getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+t[0]+", "+t[1]+`));
      return resTexRC.x * `+t[1]+` + resTexRC.y;
    }
  `}function n5(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],i=Math.ceil(n[2]/2),r=i*Math.ceil(n[1]/2);return`
    ivec3 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+e[0]+", "+e[1]+`));
      int index = resTexRC.x * `+e[1]+` + resTexRC.y;

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

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

      return ivec3(b, r, c);
    }
  `}function s5(n,t){var e=wr(["r","c","d"],n);return`
    ivec3 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+t[0]+", "+t[1]+`));
      int index = resTexRC.x * `+t[1]+` + resTexRC.y;
      `+e+`
      return ivec3(r, c, d);
    }
  `}function i5(n,t){for(var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],i=Math.ceil(n[n.length-1]/2),r=i*Math.ceil(n[n.length-2]/2),a=r,s="",o="b, r, c",l=2;l<n.length-1;l++)a*=n[n.length-l-1],s=`
      int b`+l+" = index / "+a+`;
      index -= b`+l+" * "+a+`;
    `+s,o="b"+l+", "+o;return`
    ivec`+n.length+` getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+e[0]+", "+e[1]+`));
      int index = resTexRC.x * `+e[1]+` + resTexRC.y;

      `+s+`

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

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

      return ivec`+n.length+"("+o+`);
    }
  `}function o5(n,t){var e=wr(["r","c","d","d2"],n);return`
    ivec4 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
        vec2(`+t[0]+", "+t[1]+`));
      int index = resTexRC.x * `+t[1]+` + resTexRC.y;
      `+e+`
      return ivec4(r, c, d, d2);
    }
  `}function l5(n,t){var e=wr(["r","c","d","d2","d3"],n);return`
    ivec5 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx * vec2(`+t[0]+`,
                             `+t[1]+`));

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

      `+e+`

      ivec5 outShape = ivec5(r, c, d, d2, d3);
      return outShape;
    }
  `}function u5(n,t){var e=wr(["r","c","d","d2","d3","d4"],n);return`
    ivec6 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
        vec2(`+t[0]+", "+t[1]+`));
      int index = resTexRC.x * `+t[1]+` + resTexRC.y;

      `+e+`

      ivec6 result = ivec6(r, c, d, d2, d3, d4);
      return result;
    }
  `}function r5(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(x.util.arraysEqual(n,t))return`
      ivec2 getOutputCoords() {
        return 2 * ivec2(resultUV.yx * vec2(`+e[0]+", "+e[1]+`));
      }
    `;var i=Math.ceil(n[1]/2);return`
    ivec2 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+e[0]+", "+e[1]+`));

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

      return ivec2(r, c);
    }
  `}function c5(n,t){return x.util.arraysEqual(n,t)?`
      ivec2 getOutputCoords() {
        return ivec2(resultUV.yx * vec2(`+t[0]+", "+t[1]+`));
      }
    `:n[1]===1?`
      ivec2 getOutputCoords() {
        ivec2 resTexRC = ivec2(resultUV.yx *
                               vec2(`+t[0]+", "+t[1]+`));
        int index = resTexRC.x * `+t[1]+` + resTexRC.y;
        return ivec2(index, 0);
      }
    `:n[0]===1?`
      ivec2 getOutputCoords() {
        ivec2 resTexRC = ivec2(resultUV.yx *
                               vec2(`+t[0]+", "+t[1]+`));
        int index = resTexRC.x * `+t[1]+` + resTexRC.y;
        return ivec2(0, index);
      }
    `:`
    ivec2 getOutputCoords() {
      ivec2 resTexRC = ivec2(resultUV.yx *
                             vec2(`+t[0]+", "+t[1]+`));
      int index = resTexRC.x * `+t[1]+` + resTexRC.y;
      int r = index / `+n[1]+`;
      int c = index - r * `+n[1]+`;
      return ivec2(r, c);
    }
  `}function Sr(n){return"offset"+n}function jM(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),i=Wt();return`
    vec4 `+e+`() {
      return `+i.texture2D+"("+t+`, halfCR);
    }
  `}function MM(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return"float "+e+"() {return "+t+";}";var i=n.shapeInfo.texShape,r=i[0],a=i[1];if(r===1&&a===1)return`
      float `+e+`() {
        return sampleTexture(`+t+`, halfCR);
      }
    `;var s=n.shapeInfo.texShape,o=s[0],l=s[1],u=Sr(t);return`
    float `+e+`() {
      vec2 uv = uvFromFlat(`+o+", "+l+", "+u+`);
      return sampleTexture(`+t+`, uv);
    }
  `}function $M(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),i=n.shapeInfo.texShape,r=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],a=Wt();return`
    vec4 `+e+`(int index) {
      vec2 uv = packedUVfrom1D(
        `+r[0]+", "+r[1]+`, index);
      return `+a.texture2D+"("+t+`, uv);
    }
  `}function HM(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return`
      float `+e+`(int index) {
        `+ma(n)+`
      }
    `;var i=n.shapeInfo.texShape,r=i[0],a=i[1];if(a===1&&r===1)return`
      float `+e+`(int index) {
        return sampleTexture(`+t+`, halfCR);
      }
    `;var s=Sr(t);return a===1?`
      float `+e+`(int index) {
        vec2 uv = vec2(0.5, (float(index + `+s+") + 0.5) / "+r+`.0);
        return sampleTexture(`+t+`, uv);
      }
    `:r===1?`
      float `+e+`(int index) {
        vec2 uv = vec2((float(index + `+s+") + 0.5) / "+a+`.0, 0.5);
        return sampleTexture(`+t+`, uv);
      }
    `:`
    float `+e+`(int index) {
      vec2 uv = uvFromFlat(`+r+", "+a+", index + "+s+`);
      return sampleTexture(`+t+`, uv);
    }
  `}function XM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape,a=r[0],s=r[1],o=Wt();if(r!=null&&x.util.arraysEqual(t,r))return`
      vec4 `+i+`(int row, int col) {
        vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);

        return `+o.texture2D+"("+e+`, uv);
      }
    `;var l=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],u=Math.ceil(t[1]/2);return`
    vec4 `+i+`(int row, int col) {
      vec2 uv = packedUVfrom2D(`+u+", "+l[0]+", "+l[1]+`, row, col);
      return `+o.texture2D+"("+e+`, uv);
    }
  `}function VM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape;if(r!=null&&x.util.arraysEqual(t,r)){var a=r[0],s=r[1];return`
    float `+i+`(int row, int col) {
      vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
      return sampleTexture(`+e+`, uv);
    }
  `}var o=x.util.squeezeShape(t),l=o.newShape,u=o.keptDims,c=l;if(c.length<t.length){var h=ga(n,c),d=["row","col"];return`
      `+fa(h)+`
      float `+i+`(int row, int col) {
        return `+i+"("+va(d,u)+`);
      }
    `}if(n.shapeInfo.isUniform)return`
      float `+i+`(int row, int col) {
        int index = round(dot(vec2(row, col), vec2(`+t[1]+`, 1)));
        `+ma(n)+`
      }
    `;var p=r[0],f=r[1],m=Sr(e);return f===1?`
    float `+i+`(int row, int col) {
      float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
      vec2 uv = vec2(0.5, (index + 0.5) / `+p+`.0);
      return sampleTexture(`+e+`, uv);
    }
  `:p===1?`
    float `+i+`(int row, int col) {
      float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
      vec2 uv = vec2((index + 0.5) / `+f+`.0, 0.5);
      return sampleTexture(`+e+`, uv);
    }
  `:`
  float `+i+`(int row, int col) {
    // Explicitly use integer operations as dot() only works on floats.
    int index = row * `+t[1]+" + col + "+m+`;
    vec2 uv = uvFromFlat(`+p+", "+f+`, index);
    return sampleTexture(`+e+`, uv);
  }
`}function JM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];if(t[0]===1){var s=t.slice(1),o=[1,2],l=ga(n,s),u=["b","row","col"];return`
        `+TS(l)+`
        vec4 `+i+`(int b, int row, int col) {
          return `+i+"("+va(u,o)+`);
        }
      `}var c=a[0],h=a[1],d=Math.ceil(t[2]/2),p=d*Math.ceil(t[1]/2),f=Wt();return`
    vec4 `+i+`(int b, int row, int col) {
      vec2 uv = packedUVfrom3D(
        `+c+", "+h+", "+p+", "+d+`, b, row, col);
      return `+f.texture2D+"("+e+`, uv);
    }
  `}function qM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[1]*t[2],a=t[2],s=x.util.squeezeShape(t),o=s.newShape,l=s.keptDims,u=o;if(u.length<t.length){var c=ga(n,u),h=["row","col","depth"];return`
        `+fa(c)+`
        float `+i+`(int row, int col, int depth) {
          return `+i+"("+va(h,l)+`);
        }
      `}if(n.shapeInfo.isUniform)return`
      float `+i+`(int row, int col, int depth) {
        int index = round(dot(vec3(row, col, depth),
                          vec3(`+r+", "+a+`, 1)));
        `+ma(n)+`
      }
    `;var d=n.shapeInfo.texShape,p=d[0],f=d[1],m=n.shapeInfo.flatOffset;if(f===r&&m==null)return`
        float `+i+`(int row, int col, int depth) {
          float texR = float(row);
          float texC = dot(vec2(col, depth), vec2(`+a+`, 1));
          vec2 uv = (vec2(texC, texR) + halfCR) /
                     vec2(`+f+".0, "+p+`.0);
          return sampleTexture(`+e+`, uv);
        }
      `;if(f===a&&m==null)return`
    float `+i+`(int row, int col, int depth) {
      float texR = dot(vec2(row, col), vec2(`+t[1]+`, 1));
      float texC = float(depth);
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+f+".0, "+p+`.0);
      return sampleTexture(`+e+`, uv);
    }
  `;var g=Sr(e);return`
      float `+i+`(int row, int col, int depth) {
        // Explicitly use integer operations as dot() only works on floats.
        int index = row * `+r+" + col * "+a+" + depth + "+g+`;
        vec2 uv = uvFromFlat(`+p+", "+f+`, index);
        return sampleTexture(`+e+`, uv);
      }
  `}function ZM(n){for(var t=n.shapeInfo.logicalShape,e=t.length,i=n.name,r="get"+i.charAt(0).toUpperCase()+i.slice(1),a=n.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=s[0],l=s[1],u=Math.ceil(t[e-1]/2),c=u*Math.ceil(t[e-2]/2),h="int b, int row, int col",d="b * "+c+" + (row / 2) * "+u+" + (col / 2)",p=2;p<e-1;p++)h="int b"+p+", "+h,c*=t[e-p-1],d="b"+p+" * "+c+" + "+d;var f=Wt();return`
    vec4 `+r+"("+h+`) {
      int index = `+d+`;
      int texR = index / `+l+`;
      int texC = index - texR * `+l+`;
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+l+", "+o+`);
      return `+f.texture2D+"("+i+`, uv);
    }
  `}function GM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[3],a=t[2]*r,s=t[1]*a,o=x.util.squeezeShape(t),l=o.newShape,u=o.keptDims;if(l.length<t.length){var c=ga(n,l),h=["row","col","depth","depth2"];return`
      `+fa(c)+`
      float `+i+`(int row, int col, int depth, int depth2) {
        return `+i+"("+va(h,u)+`);
      }
    `}if(n.shapeInfo.isUniform)return`
      float `+i+`(int row, int col, int depth, int depth2) {
        int index = round(dot(vec4(row, col, depth, depth2),
                          vec4(`+s+", "+a+", "+r+`, 1)));
        `+ma(n)+`
      }
    `;var d=n.shapeInfo.flatOffset,p=n.shapeInfo.texShape,f=p[0],m=p[1];if(m===s&&d==null)return`
      float `+i+`(int row, int col, int depth, int depth2) {
        float texR = float(row);
        float texC =
            dot(vec3(col, depth, depth2),
                vec3(`+a+", "+r+`, 1));
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+m+".0, "+f+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;if(m===r&&d==null)return`
      float `+i+`(int row, int col, int depth, int depth2) {
        float texR = dot(vec3(row, col, depth),
                         vec3(`+t[1]*t[2]+", "+t[2]+`, 1));
        float texC = float(depth2);
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+m+".0, "+f+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;var g=Sr(e);return`
    float `+i+`(int row, int col, int depth, int depth2) {
      // Explicitly use integer operations as dot() only works on floats.
      int index = row * `+s+" + col * "+a+` +
          depth * `+r+` + depth2;
      vec2 uv = uvFromFlat(`+f+", "+m+", index + "+g+`);
      return sampleTexture(`+e+`, uv);
    }
  `}function YM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[4],a=t[3]*r,s=t[2]*a,o=t[1]*s,l=x.util.squeezeShape(t),u=l.newShape,c=l.keptDims;if(u.length<t.length){var h=ga(n,u),d=["row","col","depth","depth2","depth3"];return`
      `+fa(h)+`
      float `+i+`(int row, int col, int depth, int depth2, int depth3) {
        return `+i+"("+va(d,c)+`);
      }
    `}if(n.shapeInfo.isUniform)return`
      float `+i+`(int row, int col, int depth, int depth2, int depth3) {
        float index = dot(
          vec4(row, col, depth, depth2),
          vec4(`+o+", "+s+", "+a+", "+r+`)) +
          depth3;
        `+ma(n)+`
      }
    `;var p=n.shapeInfo.flatOffset,f=n.shapeInfo.texShape,m=f[0],g=f[1];if(g===o&&p==null)return`
      float `+i+`(int row, int col, int depth, int depth2, int depth3) {
        int texR = row;
        float texC = dot(vec4(col, depth, depth2, depth3),
                         vec4(`+s+", "+a+", "+r+`, 1));
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+g+".0, "+m+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;if(g===r&&p==null)return`
      float `+i+`(int row, int col, int depth, int depth2, int depth3) {
        float texR = dot(
          vec4(row, col, depth, depth2),
          vec4(`+t[1]*t[2]*t[3]+`,
               `+t[2]*t[3]+", "+t[3]+`, 1));
        int texC = depth3;
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+g+".0, "+m+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;var v=Sr(e);return`
    float `+i+`(int row, int col, int depth, int depth2, int depth3) {
      // Explicitly use integer operations as dot() only works on floats.
      int index = row * `+o+" + col * "+s+" + depth * "+a+` +
          depth2 * `+r+" + depth3 + "+v+`;
      vec2 uv = uvFromFlat(`+m+", "+g+`, index);
      return sampleTexture(`+e+`, uv);
    }
  `}function KM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=x.util.squeezeShape(t),a=r.newShape,s=r.keptDims;if(a.length<t.length){var o=ga(n,a),l=["row","col","depth","depth2","depth3","depth4"];return`
      `+fa(o)+`
      float `+i+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        return `+i+"("+va(l,s)+`);
      }
    `}var u=t[5],c=t[4]*u,h=t[3]*c,d=t[2]*h,p=t[1]*d;if(n.shapeInfo.isUniform)return`
      float `+i+`(int row, int col, int depth,
                  int depth2, int depth3, int depth4) {
        int index = round(dot(
          vec4(row, col, depth, depth2),
          vec4(`+p+", "+d+", "+h+", "+c+`)) +
          dot(
            vec2(depth3, depth4),
            vec2(`+u+`, 1)));
        `+ma(n)+`
      }
    `;var f=n.shapeInfo.flatOffset,m=n.shapeInfo.texShape,g=m[0],v=m[1];if(v===p&&f==null)return`
      float `+i+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        int texR = row;
        float texC = dot(vec4(col, depth, depth2, depth3),
          vec4(`+d+", "+h+", "+c+", "+u+`)) +
               float(depth4);
        vec2 uv = (vec2(texC, texR) + halfCR) /
                   vec2(`+v+".0, "+g+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;if(v===u&&f==null)return`
      float `+i+`(int row, int col, int depth,
                    int depth2, int depth3, int depth4) {
        float texR = dot(vec4(row, col, depth, depth2),
          vec4(`+t[1]*t[2]*t[3]*t[4]+`,
               `+t[2]*t[3]*t[4]+`,
               `+t[3]*t[4]+`,
               `+t[4]+`)) + float(depth3);
        int texC = depth4;
        vec2 uv = (vec2(texC, texR) + halfCR) /
                  vec2(`+v+".0, "+g+`.0);
        return sampleTexture(`+e+`, uv);
      }
    `;var b=Sr(e);return`
    float `+i+`(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 * `+p+" + col * "+d+" + depth * "+h+` +
          depth2 * `+c+" + depth3 * "+u+" + depth4 + "+b+`;
      vec2 uv = uvFromFlat(`+g+", "+v+`, index);
      return sampleTexture(`+e+`, uv);
    }
  `}function ma(n){var t=n.name,e=x.util.sizeFromShape(n.shapeInfo.logicalShape);return e<2?"return "+t+";":`
    for (int i = 0; i < `+e+`; i++) {
      if (i == index) {
        return `+t+`[i];
      }
    }
  `}function QM(n,t){var e=n.name,i=e.charAt(0).toUpperCase()+e.slice(1),r="get"+i+"AtOutCoords",a=n.shapeInfo.logicalShape.length,s=t.logicalShape.length,o=AS(n.shapeInfo.logicalShape,t.logicalShape),l=Je(s),u=s-a,c,h=["x","y","z","w","u","v"];a===0?c="":s<2&&o.length>=1?c="coords = 0;":c=o.map(function(S){return"coords."+h[S+u]+" = 0;"}).join(`
`);var d="";s<2&&a>0?d="coords":d=n.shapeInfo.logicalShape.map(function(S,L){return"coords."+h[L+u]}).join(", ");var p="return outputValue;",f=x.util.sizeFromShape(n.shapeInfo.logicalShape),m=f===1,g=x.util.sizeFromShape(t.logicalShape),v=g===1;if(a===1&&!m&&!v)p=`
      return vec4(outputValue.xy, outputValue.xy);
    `;else if(m&&!v)s===1?p=`
        return vec4(outputValue.x, outputValue.x, 0., 0.);
      `:p=`
        return vec4(outputValue.x);
      `;else if(o.length){var b=a-2,w=a-1;o.indexOf(b)>-1&&o.indexOf(w)>-1?p="return vec4(outputValue.x);":o.indexOf(b)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(w)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return`
    vec4 `+r+`() {
      `+l+` coords = getOutputCoords();
      `+c+`
      vec4 outputValue = get`+i+"("+d+`);
      `+p+`
    }
  `}function e5(n,t){var e=n.name,i=e.charAt(0).toUpperCase()+e.slice(1),r="get"+i+"AtOutCoords",a=t.texShape,s=n.shapeInfo.texShape,o=n.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!n.shapeInfo.isUniform&&o===l&&n.shapeInfo.flatOffset==null&&x.util.arraysEqual(s,a))return`
      float `+r+`() {
        return sampleTexture(`+e+`, resultUV);
      }
    `;var u=Je(l),c=AS(n.shapeInfo.logicalShape,t.logicalShape),h=l-o,d,p=["x","y","z","w","u","v"];o===0?d="":l<2&&c.length>=1?d="coords = 0;":d=c.map(function(m){return"coords."+p[m+h]+" = 0;"}).join(`
`);var f="";return l<2&&o>0?f="coords":f=n.shapeInfo.logicalShape.map(function(m,g){return"coords."+p[g+h]}).join(", "),`
    float `+r+`() {
      `+u+` coords = getOutputCoords();
      `+d+`
      return get`+i+"("+f+`);
    }
  `}function Je(n){if(n<=1)return"int";if(n===2)return"ivec2";if(n===3)return"ivec3";if(n===4)return"ivec4";if(n===5)return"ivec5";if(n===6)return"ivec6";throw Error("GPU for rank "+n+" is not yet supported")}function ga(n,t){var e=JSON.parse(JSON.stringify(n));return e.shapeInfo.logicalShape=t,e}function va(n,t){return t.map(function(e){return n[e]}).join(", ")}var f5=function(){function n(t,e,i,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,x.util.assert(t.length>2,function(){return"Packed arg"+(i.charAt(0).toUpperCase()+i.slice(1))+" supports only inputs with rank above 2."});var a=t[t.length-1],s=Math.ceil(a/e);this.outputShape=t.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");var o=this.outputShape,l=o.length,u=Je(l),c=Jt("coords",l),h,d;if(s===1){d=l+1;var p=Je(d);h=`
        `+p+" sourceLocR = "+p+"("+c.join()+`, 0);
        ++`+c[l-1]+`;
        `+p+" sourceLocG = "+p+"("+c.join()+`, 0);
        ++`+c[l-2]+`;
        `+p+" sourceLocA = "+p+"("+c.join()+`, 0);
        --`+c[l-1]+`;
        `+p+" sourceLocB = "+p+"("+c.join()+`, 0);
        --`+c[l-2]+";"}else d=l,h=`
        `+u+` sourceLocR = coords;
        ++`+c[l-1]+`;
        `+u+` sourceLocG = coords;
        ++`+c[l-2]+`;
        `+u+` sourceLocA = coords;
        --`+c[l-1]+`;
        `+u+` sourceLocB = coords;
        --`+c[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,d),m="."+f[d-1],g=f.map(function(D){return"int "+D}),v=Jt("sourceLocR",d-1).concat("inIdx.r"),b=Jt("sourceLocG",d-1).concat("inIdx.g"),w=Jt("sourceLocB",d-1).concat("inIdx.b"),S=Jt("sourceLocA",d-1).concat("inIdx.a"),L=i==="max"?"greaterThan":"lessThan",N=r?"":`
          inIdx = round(vec4(getBestIndicesAChannel(`+v.join()+`),
                             getBestIndicesAChannel(`+b.join()+`),
                             getBestIndicesAChannel(`+w.join()+`),
                             getBestIndicesAChannel(`+S.join()+")));",C=`vec4(
            getAChannel(`+v.join()+`),
            hasNextCol ? getAChannel(`+b.join()+`) : 0.,
            hasNextRow ? getAChannel(`+w.join()+`) : 0.,
            hasNextRow && hasNextCol ? getAChannel(`+S.join()+") : 0.)",R=r?"":`
      float getBestIndicesAChannel(`+g.join()+`) {
        return getChannel(getBestIndicesA(`+f.join()+`),
                                          vec2(`+f.slice(-2).join()+`));
      }`;this.userCode=`
      float getAChannel(`+g.join()+`) {
        return getChannel(getA(`+f.join()+`),
                               vec2(`+f.slice(-2).join()+`));
      }
      `+R+`
      void main() {
        `+u+` coords = getOutputCoords();
        bool hasNextCol = `+c[l-1]+" < "+(o[l-1]-1)+`;
        bool hasNextRow = `+c[l-2]+" < "+(o[l-2]-1)+`;
        `+h+`
        ivec4 srcIdx = ivec4(sourceLocR`+m+", sourceLocG"+m+`,
          sourceLocB`+m+", sourceLocA"+m+") * "+e+`;
        ivec4 inIdx = srcIdx;
        vec4 bestIndex = vec4(inIdx);
        vec4 bestValue = `+C+`;

        for (int i = 0; i < `+e+`; i++) {
          inIdx = srcIdx;
          `+N+`
          vec4 candidate = `+C+`;
          bvec4 nan = isnan(candidate);
          bvec4 replace = bvec4(
            vec4(`+L+`(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 n}();var m5=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,o=t.dilationWidth,l=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=l-1-t.padInfo.top,h=u-1-t.padInfo.left,d=1/(e*i);this.userCode=`
      const ivec2 pads = ivec2(`+c+", "+h+`);
      const float avgMultiplier = float(`+d+`);

      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 += `+s+`) {
          float dyR = float(dyRCorner + wR) / `+r+`.0;

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

          for (int wC = 0; wC < `+u+`;
            wC+= `+o+`) {
            float dyC = float(dyCCorner + wC) / `+a+`.0;

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

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

            dotProd += dyValue * avgMultiplier;
          }
        }
        setOutput(dotProd);
      }
    `}return n}(),g5=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,i=t.filterHeight,r=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,h=t.effectiveFilterDepth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,f=h-1-t.padInfo.front,m=d-1-t.padInfo.top,g=p-1-t.padInfo.left,v=1/(e*i*r);this.userCode=`
      const ivec3 pads = ivec3(`+f+", "+m+", "+g+`);
      const float avgMultiplier = float(`+v+`);

      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 < `+h+`;
            wD += `+l+`) {
          float dyD = float(dyDCorner + wD) / `+a+`.0;

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

          for (int wR = 0; wR < `+d+`;
              wR += `+u+`) {
            float dyR = float(dyRCorner + wR) / `+s+`.0;

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

            for (int wC = 0; wC < `+p+`;
                wC += `+c+`) {
              float dyC = float(dyCCorner + wC) / `+o+`.0;

              if (dyC < 0.0 || dyC >= `+t.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 n}();var xS={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},CS=function(){function n(t,e,i){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=x.backend_util.assertAndGetBroadcastShape(e,i),this.userCode=`
      float binaryOpComplex(
          float areal, float aimag, float breal, float bimag) {
        `+t+`
      }

      void main() {
        float areal = getARealAtOutCoords();
        float aimag = getAImagAtOutCoords();
        float breal = getBRealAtOutCoords();
        float bimag = getBImagAtOutCoords();
        setOutput(binaryOpComplex(areal, aimag, breal, bimag));
      }
    `}return n}();var RS=`
  if (isnan(a)) return a;
  if (isnan(b)) return b;
`,cp="return a + b;",hp="return a - b;",OS="return a * b;",v5=`
  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;
  }
`,y5=`
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);
`,b5="return float(a == b);",w5="return float(a != b);",S5="return float(a < b);",L5="return float(a <= b);",I5="return float(a > b);",A5="return float(a >= b);",T5="return float(a >= 1.0 && b >= 1.0);",N5="return float(a >= 1.0 || b >= 1.0);",x5=RS+`
  return max(a, b);
`,C5=RS+`
  return min(a, b);
`,R5=`if (b == 0.0) return NAN;
  return mod(a, b);`,O5="return (b >= 1.0) ? a : a * (b + 1.0);",ES="return (a < 0.) ? b * a : a;",wt=function(){function n(t,e,i){this.variableNames=["A","B"],this.outputShape=x.backend_util.assertAndGetBroadcastShape(e,i),this.userCode=`
      float binaryOperation(float a, float b) {
        `+t+`
      }

      void main() {
        float a = getAAtOutCoords();
        float b = getBAtOutCoords();
        setOutput(binaryOperation(a, b));
      }
    `}return n}();var al=`
  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;
`,E5=`
  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);
`,D5=`
  // 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));
  `+al+`
  return result;
`,DS=`
  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`,k5=`
  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,F5=`
  return vec4(equal(a, b));
`,W5=`
  return vec4(notEqual(a, b));
`,U5=`
  return vec4(lessThan(a, b));
`,B5=`
  return vec4(lessThanEqual(a, b));
`,z5=`
  return vec4(greaterThan(a, b));
`,P5=`
  return vec4(greaterThanEqual(a, b));
`,_5=`
  return vec4(
    vec4(greaterThanEqual(a, vec4(1.0))) *
    vec4(greaterThanEqual(b, vec4(1.0))));
`,M5=`
  return min(
    vec4(greaterThanEqual(a, vec4(1.0))) +
    vec4(greaterThanEqual(b, vec4(1.0))),
    vec4(1.0));
`,H5=`
  vec4 result = vec4(max(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+al+`
  return result;
`,V5=`
  vec4 result = vec4(min(a, b));
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
  `+al+`
  return result;
`,q5=`
  vec4 result = mod(a, b);
  vec4 isNaN = vec4(equal(b, vec4(0.0)));
  `+al+`
  return result;
`,ki=function(){function n(t,e,i,r){r===void 0&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=x.backend_util.assertAndGetBroadcastShape(e,i);var a=this.outputShape.length,s="";if(r)if(a===0||x.util.sizeFromShape(this.outputShape)===1)s=`
          result.y = 0.;
          result.z = 0.;
          result.w = 0.;
        `;else{var o=Je(a);if(s=`
          `+o+` coords = getOutputCoords();
        `,a===1)s+=`
            result.y = (coords + 1) >= `+this.outputShape[0]+` ? 0. : result.y;
            result.z = 0.;
            result.w = 0.;
          `;else{var l=Jt("coords",a);s+=`
            bool nextRowOutOfBounds =
              (`+l[a-2]+" + 1) >= "+this.outputShape[a-2]+`;
            bool nextColOutOfBounds =
              (`+l[a-1]+" + 1) >= "+this.outputShape[a-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) {
        `+t+`
      }

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

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

        setOutput(result);
      }
    `}return n}();var G5=function(){function n(t){this.variableNames=["A"],this.outputShape=t,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 n.prototype.getCustomSetupFunc=function(t,e){var i=this;return function(r,a){i.minLoc==null&&(i.minLoc=r.getUniformLocationNoThrow(a,"minVal"),i.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(i.minLoc,t),r.gl.uniform1f(i.maxLoc,e)}},n}();var Y5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,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 n.prototype.getCustomSetupFunc=function(t,e){var i=this;return function(r,a){i.minLoc==null&&(i.minLoc=r.getUniformLocationNoThrow(a,"minVal"),i.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(i.minLoc,t),r.gl.uniform1f(i.maxLoc,e)}},n}();var K5=function(){function n(t){this.variableNames=["real","imag"],this.outputShape=t,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 n}();var j5=function(){function n(t){this.outputShape=[],this.outputShape=x.backend_util.computeOutShape(t,1),this.variableNames=t.map(function(l,u){return"T"+u});var e=new Array(t.length-1);e[0]=t[0][1];for(var i=1;i<e.length;i++)e[i]=e[i-1]+t[i][1];for(var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"],i=1;i<e.length;i++){var a=e[i-1];r.push("else if (yC < "+e[i]+") "+("setOutput(getT"+i+"(yR, yC-"+a+"));"))}var s=e.length,o=e[e.length-1];r.push("else setOutput(getT"+s+"(yR, yC-"+o+"));"),this.userCode=`
      void main() {
        ivec2 coords = getOutputCoords();
        int yR = coords.x;
        int yC = coords.y;

        `+r.join(`
        `)+`
      }
    `}return n}();var $5=function(){function n(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=x.backend_util.computeOutShape(t,e);var i=this.outputShape,r=i.length,a=Je(r),s=Jt("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(v,b){return"T"+b});var l=new Array(t.length-1);l[0]=t[0][e];for(var u=1;u<l.length;u++)l[u]=l[u-1]+t[u][e];for(var c=o[e],h=o.slice(-2),d=o.join(),p="if ("+c+" < "+l[0]+`) {
        return getChannel(
            getT0(`+d+"), vec2("+h.join()+`));
        }`,u=1;u<l.length;u++){var f=l[u-1];p+=`
        if (`+c+" < "+l[u]+"  && "+c+" >= "+l[u-1]+`) {
          return getChannel(
            getT`+u+"("+sl(o,c,f)+`),
            vec2(`+sl(h,c,f)+`));
        }`}var m=l.length,g=l[l.length-1];p+=`
        return getChannel(
          getT`+m+"("+sl(o,c,g)+`),
          vec2(`+sl(h,c,g)+"));",this.userCode=`
      float getValue(`+o.map(function(v){return"int "+v})+`) {
        `+p+`
      }

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

        `+s[r-1]+" = "+s[r-1]+` + 1;
        if (`+s[r-1]+" < "+i[r-1]+`) {
          result.g = getValue(`+s+`);
        }

        `+s[r-2]+" = "+s[r-2]+` + 1;
        if (`+s[r-2]+" < "+i[r-2]+`) {
          result.a = getValue(`+s+`);
        }

        `+s[r-1]+" = "+s[r-1]+` - 1;
        if (`+s[r-2]+" < "+i[r-2]+` &&
            `+s[r-1]+" < "+i[r-1]+`) {
          result.b = getValue(`+s+`);
        }
        setOutput(result);
      }
    `}return n}();function sl(n,t,e){var i=n.indexOf(t),r=n.map(function(a,s){return s===i?a+" - "+e:a});return r.join()}var X5=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,i=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,s=t.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 < `+t.batchSize+`; b++) {
          for (int yR = 0; yR < `+t.outHeight+`; yR++) {
            int xR = wR + yR * `+e+" - "+r+`;

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

            for (int yC = 0; yC < `+t.outWidth+`; yC++) {
              int xC = wC + yC * `+i+" - "+a+`;

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

              if (`+s+`) {
                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 n}(),J5=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=t.dataFormat==="channelsLast",o=e-1-t.padInfo.top,l=i-1-t.padInfo.left,u=s?1:2,c=s?2:3,h=s?3:1;this.userCode=`
      const ivec2 pads = ivec2(`+o+", "+l+`);

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

        ivec2 dyCorner = ivec2(coords[`+u+"], coords["+c+`]) - 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 < `+e+`; wR++) {
          float dyR = float(dyRCorner + wR) / `+r+`.0;

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

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

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

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

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

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

              if (`+s+`) {
                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 n}(),Z5=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,i=t.strideHeight,r=t.strideWidth,a=t.padInfo.front,s=t.padInfo.top,o=t.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 < `+t.batchSize+`; b++) {
          for (int yF = 0; yF < `+t.outDepth+`; yF++) {
            int xF = wF + yF * `+e+" - "+a+`;

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

            for (int yR = 0; yR < `+t.outHeight+`; yR++) {
              int xR = wR + yR * `+i+" - "+s+`;

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

              for (int yC = 0; yC < `+t.outWidth+`; yC++) {
                int xC = wC + yC * `+r+" - "+o+`;

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

                float dyValue = getDy(b, yF, yR, yC, d2);
                float xValue = getX(b, xF, xR, xC, d1);
                dotProd += (xValue * dyValue);
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return n}(),Q5=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,i=t.filterHeight,r=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=e-1-t.padInfo.front,u=i-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode=`
      const ivec3 pads = ivec3(`+l+", "+u+", "+c+`);

      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 < `+e+`; wF++) {
          float dyF = float(dyFCorner + wF) / `+a+`.0;

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

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

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

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

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

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

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

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

              for (int d2 = 0; d2 < `+t.outChannels+`; d2++) {
                float xValue = getDy(batch, idyF, idyR, idyC, d2);
                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
                dotProd += xValue * wValue;
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return n}();var e9=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,i=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,s=t.outChannels/t.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 * `+s+` + dm;

        float dotProd = 0.0;

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

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

            for (int yC = 0; yC < `+t.outWidth+`; yC++) {
              int xC = wC + yC * `+i+" - "+a+`;

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

              float dyValue = getDy(b, yR, yC, d2);
              float xValue = getX(b, xR, xC, d1);
              dotProd += (xValue * dyValue);
            }
          }
        }
        setOutput(dotProd);
      }
    `}return n}(),t9=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.top,o=i-1-t.padInfo.left,l=t.outChannels/t.inChannels;this.userCode=`
      const ivec2 pads = ivec2(`+s+", "+o+`);

      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 < `+e+`; wR++) {
          float dyR = float(dyRCorner + wR) / `+r+`.0;

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

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

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

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

            int wCPerm = `+i+` - 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 n}();var kS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,s=t.padInfo.left,o=t.strideHeight,l=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,h=t.filterHeight,d=t.filterWidth,p=Math.floor(t.inChannels/4)*4,f=t.inChannels%4,m=t.dataFormat==="channelsLast",g=m?1:2,v=m?2:3,b=m?3:1,w="",S="";i&&(r?w=`float activation(float a) {
          float b = getPreluActivationWeightsAtOutCoords();
          `+i+`
        }`:w=`
          float activation(float x) {
            `+i+`
          }
        `,S="result = activation(result);");var L=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+w+`

      const ivec2 strides = ivec2(`+o+", "+l+`);
      const ivec2 pads = ivec2(`+a+", "+s+`);

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

        ivec2 xRCCorner =
            ivec2(coords[`+g+"], coords["+v+`]) * 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 < `+h+`; wR++) {
          int xR = xRCorner + wR * `+u+`;

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

          for (int wC = 0; wC < `+d+`; wC++) {
            int xC = xCCorner + wC * `+c+`;

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

            for (int d1 = 0; d1 < `+p+`; 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 (`+m+`) {
                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 (`+(f===1)+`) {

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

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

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

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

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

            }
          }
        }

        float result = dotProd;
        `+L+`
        `+S+`
        setOutput(result);
      }
    `}return n}(),n9=function(){function n(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,i=t.padInfo.top,r=t.padInfo.left,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,h=t.filterDepth,d=t.filterHeight,p=t.filterWidth,f=Math.floor(t.inChannels/4)*4,m=t.inChannels%4;this.userCode=`
      const ivec3 strides = ivec3(`+a+", "+s+", "+o+`);
      const ivec3 pads = ivec3(`+e+", "+i+", "+r+`);

      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 < `+h+`; wF++) {
          int xF = xFCorner + wF * `+l+`;

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

          for (int wR = 0; wR < `+d+`; wR++) {
            int xR = xRCorner + wR * `+u+`;

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

            for (int wC = 0; wC < `+p+`; wC++) {
              int xC = xCCorner + wC * `+c+`;

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

              for (int d1 = 0; d1 < `+f+`; 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 (`+(m===1)+`) {
                dotProd +=
                  getX(batch, xF, xR, xC, `+f+`) *
                  getW(wF, wR, wC, `+f+`, d2);
              } else if (`+(m===2)+`) {
                vec2 xValues = vec2(
                  getX(batch, xF, xR, xC, `+f+`),
                  getX(batch, xF, xR, xC, `+f+` + 1)
                );
                vec2 wValues = vec2(
                  getW(wF, wR, wC, `+f+`, d2),
                  getW(wF, wR, wC, `+f+` + 1, d2)
                );
                dotProd += dot(xValues, wValues);
              } else if (`+(m===3)+`) {
                vec3 xValues = vec3(
                  getX(batch, xF, xR, xC, `+f+`),
                  getX(batch, xF, xR, xC, `+f+` + 1),
                  getX(batch, xF, xR, xC, `+f+` + 2)
                );
                vec3 wValues = vec3(
                  getW(wF, wR, wC, `+f+`, d2),
                  getW(wF, wR, wC, `+f+` + 1, d2),
                  getW(wF, wR, wC, `+f+` + 2, d2)
                );
                dotProd += dot(xValues, wValues);
              }
            }
          }
        }
        setOutput(dotProd);
      }
    `}return n}();var FS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,l=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=t.outChannels/t.inChannels,g="",v="";i&&(r?g=`float activation(float a) {
          float b = getPreluActivationWeightsAtOutCoords();
          `+i+`
        }`:g=`
          float activation(float x) {
            `+i+`
          }
        `,v="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+g+`

      const ivec2 strides = ivec2(`+u+", "+c+`);
      const ivec2 pads = ivec2(`+o+", "+l+`);

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

        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 < `+p+`; wR++) {
          int xR = xRCorner + wR * `+h+`;

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

          for (int wC = 0; wC < `+f+`; wC++) {
            int xC = xCCorner + wC * `+d+`;

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

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

        float result = dotProd;
        `+b+`
        `+v+`
        setOutput(result);
      }
    `}return n}();var WS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,l=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=f,g="int xR; int xC; int xCOffset;",v=0;v<p;v++)for(var b=0;b<f;b++)g+=`
          vec4 xTexelR`+v+"C"+b*2+` = vec4(0.);
          vec4 wR`+v+"C"+b+` = vec4(0.);
          vec4 xR`+v+"C"+b+" = vec4(0.);";for(var v=0;v<p;v++)for(var w=0;w<m;w++){var b=w*2;if(g+=`
          xR = xRCorner + `+v*h+`;
          xC = xCCorner + `+b*d+`;
        `,c===1){if(b<f&&(l%2===1?g+=`
                xCOffset = xC + 1;
                if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
                  xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);

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

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

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

                  xR`+v+"C"+b+" = vec4(previous.zw, xTexelR"+v+"C"+b+`.xy);
                } else {
                  xR`+v+"C"+b+" = vec4(0, 0, xTexelR"+v+"C"+b+`.xy);
                }
              `:g+=`
                if(xR >= 0 && xR < `+a+" && xC >= 0 && xC < "+s+`) {
                  xTexelR`+v+"C"+b+` = getX(batch, xR, xC, d1);
                } else {
                  xTexelR`+v+"C"+b+` = vec4(0.);
                }

                xR`+v+"C"+b+" = xTexelR"+v+"C"+b+`;
              `,b+1<f)){var S=l%2===0?x.util.nearestLargerEven(d):d;d%2===0&&l%2===1||d%2!==0&&l%2!==1?(g+=`
                  xCOffset = xC + `+l%2+" + "+S+`;

                  if(xR >= 0 && xR < `+a+` &&
                    xCOffset >= 0 && xCOffset < `+s+`) {
                    xTexelR`+v+"C"+(b+2)+` = getX(batch, xR, xCOffset, d1);
                  }
                `,d>1&&(g+=`
                    xCOffset -= 2;
                    if(xR >= 0 && xR < `+a+` &&
                      xCOffset >= 0 && xCOffset < `+s+`) {
                      xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);
                    } else {
                      xTexelR`+v+"C"+b+` = vec4(0.);
                    }
                  `),g+=`
                  xR`+v+"C"+(b+1)+` = vec4(
                    xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.xy);
                `):g+=`
                  xCOffset = xC + `+S+`;

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

                  xR`+v+"C"+(b+1)+" = xTexelR"+v+"C"+(b+2)+`;
                `}}else b<f&&(g+=`
              if(xR >= 0 && xR < `+a+`) {
            `,l%2===1?(g+=`
                xCOffset = xC + 1 - `+c+`;
                if(xCOffset >= 0 && xCOffset < `+s+`) {
                  xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);
                } else {
                  xTexelR`+v+"C"+b+` = vec4(0.);
                }

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

                xR`+v+"C"+b+` = vec4(
                  xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.zw);
              `,b+1<f&&(g+=`
                  vec4 final = vec4(0.);
                  xCOffset = xC + 1 + `+c+`;
                  if(xCOffset >= 0 && xCOffset < `+s+`) {
                    final = getX(batch, xR, xCOffset, d1);
                  }
                  xR`+v+"C"+(b+1)+" = vec4(xTexelR"+v+"C"+(b+2)+`.xy, final.xy);
                `)):(g+=`
                if(xC >= 0 && xC < `+s+`) {
                  xTexelR`+v+"C"+b+` = getX(batch, xR, xC, d1);
                } else {
                  xTexelR`+v+"C"+b+` = vec4(0.);
                }

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

                xR`+v+"C"+b+` = vec4(
                  xTexelR`+v+"C"+b+".xy, xTexelR"+v+"C"+(b+2)+`.xy);
              `,b+1<f&&(g+=`
                  xR`+v+"C"+(b+1)+` = vec4(
                    xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.zw);
                `)),g+="}");b<f&&(g+=`
            vec4 wTexelR`+v+"C"+b+" = getW("+v+", "+b+`, d1, q);
            wR`+v+"C"+b+" = vec4(wTexelR"+v+"C"+b+".xz, wTexelR"+v+"C"+b+`.xz);
          `,b+1<f&&(g+=`
              vec4 wTexelR`+v+"C"+(b+1)+" = getW("+v+", "+(b+1)+`, d1, q);
              wR`+v+"C"+(b+1)+` =
                vec4(wTexelR`+v+"C"+(b+1)+".xz, wTexelR"+v+"C"+(b+1)+".xz);"))}for(var v=0;v<p;v++)for(var b=0;b<f;b++)g+="dotProd += xR"+v+"C"+b+" * wR"+v+"C"+b+";";var L="",N="";i&&(r?L=`vec4 activation(vec4 a) {
          vec4 b = getPreluActivationWeightsAtOutCoords();
          `+i+`
        }`:L=`vec4 activation(vec4 x) {
          `+i+`
        }`,N="result = activation(result);");var C=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+L+`

      const ivec2 strides = ivec2(`+u+", "+c+`);
      const ivec2 pads = ivec2(`+o+", "+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.);

        `+g+`

        vec4 result = dotProd;
        `+C+`
        `+N+`
        setOutput(result);
      }
    `}return n}();var i9=function(){function n(t,e,i,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var s=t[0],o=t[1],l=t[2],u=t[3],c=e[0],h=i[0],d=i[1];this.outputShape=[c,h,d,u];var p=r==="bilinear"?1:0,f=[o-1+".0",l-1+".0"],m=f[0],g=f[1],v=h>1?[""+(o-1)/(h-1),"(y2-y1) * height_ratio","y1*"+m+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+m],b=v[0],w=v[1],S=v[2],L=d>1?[""+(l-1)/(d-1),"(x2-x1) * width_ratio","x1*"+g+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+g],N=L[0],C=L[1],R=L[2];this.userCode=`
      const float height_ratio = float(`+b+`);
      const float width_ratio = float(`+N+`);
      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 >= `+s+`) {
          return;
        }

        float height_scale = `+w+`;
        float width_scale = `+C+`;

        float in_y = `+S+`;
        if( in_y < 0.0 || in_y > `+m+` ) {
          setOutput(float(`+a+`));
          return;
        }
        float in_x = `+R+`;
        if( in_x < 0.0 || in_x > `+g+` ) {
          setOutput(float(`+a+`));
          return;
        }

        vec2 sourceFracIndexCR = vec2(in_x,in_y);
        if(`+p+` == 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 n}(),zS=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=e?"0.0":"getX("+US(r,"coords")+")",s=t[t.length-1],o="",l="";e?(o=i?"end != "+(s-1):"end != 0",l=i?"end + 1":"end - 1"):(o=i?"end + pow2 < "+s:"end >= pow2",l=i?"end + pow2":"end - pow2"),this.userCode=`
      uniform float index;
      void main() {
        `+Je(r)+` coords = getOutputCoords();
        int end = `+BS(r,"coords")+`;
        float val = `+a+`;
        int pow2 = int(pow(2.0, index));
        if (`+o+`) {
          int idx = `+l+`;
          `+BS(r,"coords")+` = idx;
          val += getX(`+US(r,"coords")+`);
        }
        setOutput(val);
      }
    `}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.index==null&&(e.index=i.getUniformLocation(r,"index")),i.gl.uniform1f(e.index,t)}},n}();function US(n,t){if(n===1)return""+t;if(n===2)return t+".x, "+t+".y";if(n===3)return t+".x, "+t+".y, "+t+".z";if(n===4)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}function BS(n,t){if(n===1)return""+t;if(n===2)return t+".y";if(n===3)return t+".z";if(n===4)return t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}var r9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ms.DENSE;var e=vs(t),i=Wt();this.outputShape=t,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+wr(["r","c","d"],t)+`
        return ivec3(r, c, d);
      }

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

        `+i.output+` = result;
      }
    `}return n}();var a9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ms.DENSE;var e=vs(t),i=Wt();this.outputShape=t,this.userCode=`
      ivec3 outCoordsFromFlatIndex(int index) {
        `+wr(["r","c","d"],t)+`
        return ivec3(r, c, d);
      }

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

        `+i.output+` = result;
      }
    `}return n}();var s9=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=i,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 / `+e+`;
      int offset_h = imod(h, `+e+`);
      int in_w = w / `+e+`;
      int offset_w = imod(w, `+e+`);
      int offset_d = (offset_h * `+e+` + offset_w) *
        `+this.getOutputDepthSize()+`;
      int in_d = d + offset_d;

      float result = `+this.getInputSamplingString()+`;
      setOutput(result);
    }
  `}return n.prototype.getHeightCoordString=function(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"},n.prototype.getWidthCoordString=function(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"},n.prototype.getDepthCoordString=function(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"},n.prototype.getOutputDepthSize=function(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]},n.prototype.getInputSamplingString=function(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},n}();var o9=function(){function n(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=`
      void main() {
          ivec2 coords = getOutputCoords();
          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
          setOutput(val);
      }
    `}return n}();var l9=function(){function n(t){this.variableNames=["A"],this.outTexUsage=an.DOWNLOAD;var e=Wt();this.outputShape=t,this.userCode=`
      `+IS+`

      void main() {
        float x = getAAtOutCoords();
        `+e.output+` = encode_float(x);
      }
    `}return n}();var u9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=an.DOWNLOAD;var e=Wt();this.outputShape=t,this.userCode=`
      `+IS+`

      void main() {
        ivec3 coords = getOutputCoords();
        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
        `+e.output+` = encode_float(x);
      }
    `}return n}();var c9=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"];var r=Wt(),a=e[0],s=e[1];this.outputShape=t;var o="result";i&&(o="floor(result * 255. + 0.5)"),this.userCode=`
      `+up(t)+`

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

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

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

        int r = flatIndex / `+s+`;
        int c = imod(flatIndex, `+s+`);
        vec2 uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
        vec4 values = `+r.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];
        }

        `+r.output+" = vec4("+o+`, 0., 0., 0.);
      }
    `}return n}();var h9=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Wt(),a=e[0],s=e[1];this.outputShape=t;var o="",l="result";i&&(l="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var h=u*2+c;o+=`
          localCoords = coords;
          if(localCoords[2] + `+c+" < "+t[2]+`) {
            localCoords[2] += `+c+`;
            if(localCoords[1] + `+u+" < "+t[1]+`) {
              localCoords[1] += `+u+`;

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

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

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

              if(offset == 0) {
                result[`+h+`] = values[0];
              } else if(offset == 1) {
                result[`+h+`] = values[1];
              } else if(offset == 2) {
                result[`+h+`] = values[2];
              } else {
                result[`+h+`] = values[3];
              }
            }
          }
        `}this.userCode=`
      `+up(t)+`

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

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

        `+o+`

        `+r.output+" = "+l+`;
      }
    `}return n}();var PS={REAL:"return real * expR - imag * expI;",IMAG:"return real * expI + imag * expR;"},_S=function(){function n(t,e,i){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var a=i?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,s=i?r+".0":"1.0";this.userCode=`
      const float exponentMultiplier = `+a+`;

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

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

        float result = 0.0;

        for (int i = 0; i < `+r+`; 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) / `+s+`;
        }

        return result;
      }

      void main() {
        ivec2 coords = getOutputCoords();
        setOutput(mulMatDFT(coords[0], coords[1]));
      }
    `}return n}();var d9=function(){function n(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode=`
      uniform float value;
      void main() {
        // Input can be obtained from uniform value.
        setOutput(value);
      }
    `}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.valueLoc==null&&(e.valueLoc=i.getUniformLocationNoThrow(r,"value")),i.gl.uniform1f(e.valueLoc,t)}},n}();var f9=function(){function n(t,e,i){this.variableNames=["A","indices"];var r=t.slice();r[i]=e,this.outputShape=r,this.rank=r.length;var a=Je(this.rank),s=p9(t,i);this.userCode=`
      void main() {
        `+a+` resRC = getOutputCoords();
        setOutput(getA(`+s+`));
      }
    `}return n}();function p9(n,t){var e=n.length;if(e>4)throw Error("Gather for rank "+e+" is not yet supported");if(e===1)return"int(getIndices(resRC))";for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<n.length;a++)a===t?r.push("int(getIndices("+i[a]+"))"):r.push(""+i[a]);return r.join()}var m9=function(){function n(t,e,i){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=i;var r=Je(e.length),a=Je(i.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
        `+r+" strides = "+r+"("+this.strides+`);
         void main() {
          `+a+` coords = getOutputCoords();
          int flattenIndex = 0;
          for (int j = 0; j < `+this.sliceDim+`; j++) {
            int index = round(getIndices(coords[0], j));
            flattenIndex += index * `+s+`;
          }
          setOutput(getX(flattenIndex, coords[1]));
        }
      `}return n}();function MS(n){var t=Wt(),e=t.version+`
    precision highp float;
    `+t.attribute+` vec3 clipSpacePos;
    `+t.attribute+` vec2 uv;
    `+t.varyingVs+` vec2 resultUV;

    void main() {
      gl_Position = vec4(clipSpacePos, 1);
      resultUV = uv;
    }`;return Q0(n,e)}function HS(n){var t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return iS(n,t)}function VS(n){var t=new Uint16Array([0,1,2,2,1,3]);return rS(n,t)}function Ss(n,t,e,i,r,a){sS(t,e);var s=aS(n),o=n.TEXTURE_2D;return ce(n,function(){return n.bindTexture(o,s)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_MIN_FILTER,n.NEAREST)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_MAG_FILTER,n.NEAREST)}),ce(n,function(){return n.texImage2D(o,0,i,t,e,0,r,a,null)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)}),s}function dp(n){return n.internalFormatFloat}function qS(n,t,e,i){var r=gs(t,e),a=r[0],s=r[1];return Ss(n,a,s,dp(i),i.textureFormatFloat,n.FLOAT)}function pp(n){return n.internalFormatHalfFloat}function GS(n,t,e,i){var r=gs(t,e),a=r[0],s=r[1];return Ss(n,a,s,pp(i),i.textureFormatFloat,i.textureTypeHalfFloat)}function fp(n){return n.downloadTextureFormat}function YS(n,t,e,i){var r=gs(t,e),a=r[0],s=r[1];return Ss(n,a,s,fp(i),n.RGBA,n.UNSIGNED_BYTE)}function mp(n){return n.internalFormatPackedFloat}function KS(n,t,e,i){var r=ha(t,e),a=r[0],s=r[1];return Ss(n,a,s,mp(i),n.RGBA,n.FLOAT)}function gp(n){return n.internalFormatPackedHalfFloat}function jS(n,t,e,i){var r=ha(t,e),a=r[0],s=r[1];return Ss(n,a,s,gp(i),n.RGBA,i.textureTypeHalfFloat)}function $S(n,t,e){var i=0,r=3*4,a=3*4+2*4;ce(n,function(){return n.bindBuffer(n.ARRAY_BUFFER,e)});var s=rp(n,t,"clipSpacePos",e,3,a,i);return s&&rp(n,t,"uv",e,2,a,r)}function XS(n,t,e,i,r,a){ce(n,function(){return n.bindTexture(n.TEXTURE_2D,t)});var s,o,l;r instanceof Uint8Array?(s=new Uint8Array(e*i*4),o=n.UNSIGNED_BYTE,l=n.RGBA):(s=new Float32Array(e*i*4),o=n.FLOAT,l=a.internalFormatPackedFloat),s.set(r),ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,l,e,i,0,n.RGBA,o,s)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function JS(n,t,e){ce(n,function(){return n.bindTexture(n.TEXTURE_2D,t)}),e.data instanceof Uint8Array?ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,e.width,e.height,0,n.RGBA,n.UNSIGNED_BYTE,e.data)}):ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,n.RGBA,n.UNSIGNED_BYTE,e)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function ZS(n,t,e,i){var r=n.createBuffer();ce(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,r)});var a=4,s=4,o=a*s*t*e;return ce(n,function(){return n.bufferData(n.PIXEL_PACK_BUFFER,o,n.STREAM_READ)}),ce(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,0)}),ce(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,null)}),r}function QS(n,t,e){var i=n,r=new Float32Array(e);return i.bindBuffer(i.PIXEL_PACK_BUFFER,t),i.getBufferSubData(i.PIXEL_PACK_BUFFER,0,r),i.bindBuffer(i.PIXEL_PACK_BUFFER,null),r}function eL(n,t,e,i){var r=gs(t,e),a=r[0],s=r[1],o=4,l=new Uint8Array(M_(t*e,o));return ce(n,function(){return n.readPixels(0,0,a,s,i.downloadTextureFormat,n.UNSIGNED_BYTE,l)}),new Float32Array(l.buffer)}function tL(n,t,e,i,r,a,s,o){var l=n,u=new Float32Array(H_(a,s));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function nL(n,t,e){var i=new Float32Array(t*e*4);return ce(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,i)}),i}var g9={__proto__:null,createVertexShader:MS,createVertexBuffer:HS,createIndexBuffer:VS,getInternalFormatForFloat32MatrixTexture:dp,createFloat32MatrixTexture:qS,getInternalFormatForFloat16MatrixTexture:pp,createFloat16MatrixTexture:GS,getInternalFormatForUnsignedBytesMatrixTexture:fp,createUnsignedBytesMatrixTexture:YS,getInternalFormatForPackedMatrixTexture:mp,createPackedMatrixTexture:KS,getInternalFormatForFloat16PackedMatrixTexture:gp,createFloat16PackedMatrixTexture:jS,bindVertexProgramAttributeStreams:$S,uploadDenseMatrixToTexture:XS,uploadPixelDataToTexture:JS,createBufferFromOutputTexture:ZS,downloadFloat32MatrixFromBuffer:QS,downloadByteEncodedFloatMatrixFromOutputTexture:eL,downloadPackedMatrixFromBuffer:tL,downloadMatrixFromPackedOutputTexture:nL};var iL=function(){function n(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=x.env().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,X0(e,t)):this.gl=Hn(e);var i="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(x.env().getNumber("WEBGL_VERSION")===1){var a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=ys(this.gl,a),sn(this.gl,s))this.textureHalfFloatExtension=ys(this.gl,s);else if(x.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(i),sn(this.gl,r))this.colorBufferHalfFloatExtension=ys(this.gl,r);else if(x.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(i="EXT_color_buffer_float",sn(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else if(sn(this.gl,r))this.colorBufferHalfFloatExtension=this.gl.getExtension(r);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=HS(this.gl),this.indexBuffer=VS(this.gl),this.framebuffer=oS(this.gl),this.textureConfig=ip(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(n.prototype,"debug",{get:function(){return x.env().getBool("DEBUG")},enumerable:!0,configurable:!0}),n.prototype.dispose=function(){var t=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 e=this.gl;ce(e,function(){return e.finish()}),ce(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),ce(e,function(){return e.deleteFramebuffer(t.framebuffer)}),ce(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),ce(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),ce(e,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0},n.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),qS(this.gl,t,e,this.textureConfig)},n.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),GS(this.gl,t,e,this.textureConfig)},n.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),YS(this.gl,t,e,this.textureConfig)},n.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),JS(this.gl,t,e)},n.prototype.uploadDenseMatrixToTexture=function(t,e,i,r){this.throwIfDisposed(),XS(this.gl,t,e,i,r,this.textureConfig)},n.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),jS(this.gl,t,e,this.textureConfig)},n.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),KS(this.gl,t,e,this.textureConfig)},n.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(ap(this.gl,this.framebuffer),this.outputTexture=null),ce(this.gl,function(){return e.gl.deleteTexture(t)})},n.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,i){var r=this;return this.downloadMatrixDriver(t,function(){return eL(r.gl,e,i,r.textureConfig)})},n.prototype.downloadPackedMatrixFromBuffer=function(t,e,i,r,a,s){return tL(this.gl,t,e,i,r,a,s,this.textureConfig)},n.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return QS(this.gl,t,e)},n.prototype.createBufferFromTexture=function(t,e,i){this.bindTextureToFrameBuffer(t);var r=ZS(this.gl,e,i,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},n.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},n.prototype.createFence=function(t){var e=this,i,r;if(x.env().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,s=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),r=function(){var o=a.clientWaitSync(s,0,0);return o===a.ALREADY_SIGNALED||o===a.CONDITION_SATISFIED},i=s}else x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(i=this.beginQuery(),this.endQuery(),r=function(){return e.isQueryAvailable(i,x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):r=function(){return!0};return{query:i,isFencePassed:r}},n.prototype.downloadMatrixFromPackedTexture=function(t,e,i){var r=this;return this.downloadMatrixDriver(t,function(){return nL(r.gl,e,i)})},n.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,i=eS(e,t),r=MS(e),a=tS(e);return ce(e,function(){return e.attachShader(a,r)}),ce(e,function(){return e.attachShader(a,i)}),nS(e,a),this.debug&&Qo(e,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=$S(e,this.program,this.vertexBuffer)),a},n.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&ce(this.gl,function(){return e.gl.deleteProgram(t)})},n.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Qo(this.gl,this.program),ce(this.gl,function(){return e.gl.useProgram(t)})},n.prototype.getUniformLocation=function(t,e,i){return i===void 0&&(i=!0),this.throwIfDisposed(),i?cS(this.gl,t,e):hS(this.gl,t,e)},n.prototype.getAttributeLocation=function(t,e){var i=this;return this.throwIfDisposed(),ce(this.gl,function(){return i.gl.getAttribLocation(t,e)})},n.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},n.prototype.setInputMatrixTexture=function(t,e,i){this.throwIfDisposed(),this.throwIfNoProgram(),dS(this.gl,t,e,i)},n.prototype.setOutputMatrixTexture=function(t,e,i){this.setOutputMatrixTextureDriver(t,i,e)},n.prototype.setOutputPackedMatrixTexture=function(t,e,i){this.throwIfDisposed();var r=ha(e,i),a=r[0],s=r[1];this.setOutputMatrixTextureDriver(t,a,s)},n.prototype.setOutputMatrixWriteRegion=function(t,e,i,r){this.setOutputMatrixWriteRegionDriver(i,t,r,e)},n.prototype.setOutputPackedMatrixWriteRegion=function(t,e,i,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},n.prototype.debugValidate=function(){this.program!=null&&Qo(this.gl,this.program),bs(this.gl)},n.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),ce(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},n.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),ce(this.gl,function(){return t.gl.finish()})},n.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=ys(this.gl,x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},n.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},n.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},n.prototype.beginQuery=function(){if(x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),i=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,i),i}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},n.prototype.endQuery=function(){if(x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2();t.endQuery(e.TIME_ELAPSED_EXT);return}var i=this.getQueryTimerExtensionWebGL1();i.endQueryEXT(i.TIME_ELAPSED_EXT)},n.prototype.waitForQueryAndGetTime=function(t){return Jo(this,void 0,void 0,function(){var e=this;return Zo(this,function(i){switch(i.label){case 0:return[4,x.util.repeatedTry(function(){return e.disposed||e.isQueryAvailable(t,x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return i.sent(),[2,this.getQueryTime(t,x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},n.prototype.getQueryTime=function(t,e){if(e===0)return null;if(e===2){var i=this.gl,r=i.getQueryParameter(t,i.QUERY_RESULT);return r/1e6}else{var a=this.getQueryTimerExtensionWebGL1(),r=a.getQueryObjectEXT(t,a.QUERY_RESULT_EXT);return r/1e6}},n.prototype.isQueryAvailable=function(t,e){if(e===0)return!0;if(e===2){var i=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=i.getQueryParameter(t,i.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}else{var r=this.getQueryTimerExtensionWebGL1(),a=r.getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}},n.prototype.pollFence=function(t){var e=this;return new Promise(function(i){e.addItemToPoll(function(){return t.isFencePassed()},function(){return i()})})},n.prototype.pollItems=function(){for(var t=v9(this.itemsToPoll.map(function(r){return r.isDoneFn})),e=0;e<=t;++e){var i=this.itemsToPoll[e].resolveFn;i()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},n.prototype.addItemToPoll=function(t,e){var i=this;if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;x.util.repeatedTry(function(){return i.pollItems(),i.itemsToPoll.length===0})},n.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),el(this.gl,t,this.framebuffer),this.debug&&bs(this.gl)},n.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(el(this.gl,this.outputTexture,this.framebuffer),this.debug&&bs(this.gl)):ap(this.gl,this.framebuffer)},n.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var i=e();return this.unbindTextureToFrameBuffer(),i},n.prototype.setOutputMatrixTextureDriver=function(t,e,i){this.throwIfDisposed();var r=this.gl;el(r,t,this.framebuffer),this.debug&&bs(r),this.outputTexture=t,ce(r,function(){return r.viewport(0,0,e,i)}),ce(r,function(){return r.scissor(0,0,e,i)})},n.prototype.setOutputMatrixWriteRegionDriver=function(t,e,i,r){var a=this;this.throwIfDisposed(),ce(this.gl,function(){return a.gl.scissor(t,e,i,r)})},n.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},n.prototype.throwIfNoProgram=function(){if(this.program==null)throw new Error("No GPU program is currently set.")},n}();function v9(n){for(var t=0;t<n.length;++t){var e=n[t]();if(!e)break}return t-1}function y9(n,t,e,i){var r=t.userCode,a=e.map(function(g,v){var b={logicalShape:g.shape,texShape:g.isUniform?null:g.texData.texShape,isUniform:g.isUniform,isPacked:g.isUniform?!1:g.texData.isPacked,flatOffset:null};return g.texData!=null&&g.texData.slice!=null&&g.texData.slice.flatOffset>0&&(b.flatOffset=g.texData.slice.flatOffset),{name:t.variableNames[v],shapeInfo:b}}),s=a.map(function(g){return g.shapeInfo}),o={logicalShape:i.shape,texShape:i.texData.texShape,isUniform:!1,isPacked:i.texData.isPacked,flatOffset:null},l=_M(a,o,r,t.packedInputs),u=n.createProgram(l),c=null,h=n.getUniformLocation(u,"NAN",!1);x.env().getNumber("WEBGL_VERSION")===1&&(c=n.getUniformLocation(u,"INFINITY",!1));for(var d={},p=0;p<t.variableNames.length;p++){var f=t.variableNames[p],m=!1;d[f]=n.getUniformLocation(u,f,m),d["offset"+f]=n.getUniformLocation(u,"offset"+f,m)}return{program:t,source:l,webGLProgram:u,uniformLocations:d,inShapeInfos:s,outShapeInfo:o,infLoc:c,nanLoc:h}}function rL(n,t){if(n.length!==t.length)throw Error("Binary was compiled with "+n.length+" inputs, but "+("was executed with "+t.length+" inputs"));n.forEach(function(e,i){var r=e.logicalShape,a=t[i],s=a.shape;if(!x.util.arraysEqual(r,s))throw Error("Binary was compiled with different shapes than "+("the current args. Shapes "+r+" and "+s+" must match"));if(e.isUniform&&a.isUniform)return;var o=e.texShape,l=a.isUniform?null:a.texData.texShape;if(!x.util.arraysEqual(o,l))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+o+" and "+l+" must match"))})}function b9(n,t,e,i,r){rL(t.inShapeInfos,e),rL([t.outShapeInfo],[i]);var a=i.texData.texture,s=i.texData.texShape;i.texData.isPacked?n.setOutputPackedMatrixTexture(a,s[0],s[1]):n.setOutputMatrixTexture(a,s[0],s[1]),n.setProgram(t.webGLProgram),x.env().getNumber("WEBGL_VERSION")===1&&(t.infLoc!==null&&n.gl.uniform1f(t.infLoc,Infinity)),t.nanLoc!==null&&n.gl.uniform1f(t.nanLoc,NaN),e.forEach(function(o,l){var u=t.program.variableNames[l],c=t.uniformLocations[u],h=t.uniformLocations["offset"+u];if(c==null)return;if(o.isUniform){if(x.util.sizeFromShape(o.shape)<2)n.gl.uniform1f(c,o.uniformValues[0]);else{var d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),n.gl.uniform1fv(c,d)}return}o.texData.slice!=null&&h!=null&&n.gl.uniform1i(h,o.texData.slice.flatOffset),n.setInputMatrixTexture(o.texData.texture,c,l)}),r!=null&&r(n,t.webGLProgram),n.executeProgram()}function w9(n,t,e){var i="";t.concat(e).forEach(function(s){var o=s.texData!=null&&s.texData.slice!=null&&s.texData.slice.flatOffset>0,l=s.isUniform?"uniform":s.texData.texShape;i+=s.shape+"_"+l+"_"+o});var r=n.userCode,a=n.constructor.name;return a+="_"+i+"_"+r,a}var S9=function(){function n(t,e,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=i.filterWidth,a=i.inChannels,s=i.strideWidth,o=i.strideHeight,l=i.padInfo,u=i.outWidth,c=i.dilationWidth,h=i.dilationHeight,d=i.dataFormat,p=l.left,f=l.top,m=a*r,g=Wt(),v=d==="channelsLast",b=v?0:1,w=v?1:2,S="",L=0;L<=1;L++)for(var N=0;N<=1;N++)S+=`
          blockIndex = rc.y + `+N+`;
          pos = rc.x + `+L+`;

          if(blockIndex < `+t[1]+" && pos < "+t[0]+`) {
            offsetY = int(blockIndex / (`+u+")) * "+o+" - "+f+`;
            d0 = offsetY + `+h+" * (pos / "+m+`);

            if(d0 < `+e[b]+` && d0 >= 0) {

              offsetX = int(mod(float(blockIndex), `+u+".) * "+s+". - "+p+`.);
              d1 = offsetX + `+c+" * (int(mod(float(pos), "+m+".) / "+a+`.));

              if(d1 < `+e[w]+` && d1 >= 0) {

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

                if (`+v+`) {
                  innerDims = vec2(d1, ch);
                  result[`+(L*2+N)+`] = getChannel(
                    getA(d0, int(innerDims.x),
                    int(innerDims.y)), innerDims);
                } else {
                  innerDims = vec2(d0, d1);
                  result[`+(L*2+N)+`] = 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;

        `+S+`

        `+g.output+` = result;
      }
    `}return n}();var L9=function(){function n(t,e,i,r,a){this.variableNames=["x"],this.outputShape=[];var s=e,o=t[3]-1;this.outputShape=t;var l,u="float("+i+") + float("+r+") * sum";a===.5?l="inversesqrt("+u+")":a===1?l="1.0/("+u+")":l="exp(log("+u+") * float(-"+a+"));",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 = -`+s+"; j <= "+s+`; j++) {
          int idx = d + j;
          if (idx >= 0 && idx <=  `+o+`) {
            float z = getX(b, r, c, idx);
            sum += z * z;
          }
        }
        float val = x * `+l+`;
        setOutput(val);
      }
    `}return n}();var I9=function(){function n(t,e,i,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=i,this.alpha=r,this.beta=a,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 - `+e+`)));
          int depthEnd = int(min(float(`+this.depth+`),
              float(d + `+e+` + 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(`+r+") * norm + float("+i+`);

          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(`+r+`)
                * float(`+a+`)
                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
                / norm;
              if (k == d) {
                dyi += pow(norm, -1.0 * `+a+`);
              }
              if (k == coords[3]) {
                dyi *= getDy(b, r, c, d);
                result += dyi;
              }
            }
            else {
              break;
            }
          }
      }
      setOutput(result);
      }
    `}return n}();var A9=function(){function n(t,e,i,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var s=e,o=t[3]-1;this.outputShape=t;var l,u="float("+i+") + float("+r+") * sum";a===.5?l="inversesqrt("+u+")":a===1?l="1.0/("+u+")":l="exp(log("+u+") * float(-"+a+"));",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 - `+s+`;
        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 = - `+s+"; j <= "+s+`; j++) {
          ivec2 idx = depth + j;
          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(`+o+`));

          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 n}();var T9=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,i=t.strideWidth,r=t.dilationHeight,a=t.effectiveFilterHeight,s=t.effectiveFilterWidth,o=a-1-t.padInfo.top,l=s-1-t.padInfo.left,u=a*s-1;this.userCode=`
      const ivec2 pads = ivec2(`+o+", "+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 < `+a+`;
          wR += `+r+`) {
          float dyR = float(dyRCorner + wR) / `+e+`.0;

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

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

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

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

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

            dotProd += dyValue * mask;
          }
        }
        setOutput(dotProd);
      }
    `}return n}(),N9=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,i=t.strideHeight,r=t.strideWidth,a=t.dilationDepth,s=t.dilationHeight,o=t.dilationWidth,l=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=l-1-t.padInfo.front,d=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=l*u*c-1;this.userCode=`
      const ivec3 pads = ivec3(`+h+", "+d+", "+p+`);

      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 += `+a+`) {
          float dyD = float(dyDCorner + wD) / `+e+`.0;

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

          for (int wR = 0; wR < `+u+`;
              wR += `+s+`) {
            float dyR = float(dyRCorner + wR) / `+i+`.0;

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

            for (int wC = 0; wC < `+c+`;
                wC += `+o+`) {
              float dyC = float(dyCCorner + wC) / `+r+`.0;

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

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

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

              dotProd += dyValue * mask;
            }
          }
        }
        setOutput(dotProd);
      }
    `}return n}();var vp=function(){function n(t,e,i,r,a,s,o){i===void 0&&(i=!1),r===void 0&&(r=!1),a===void 0&&(a=!1),s===void 0&&(s=null),o===void 0&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var l=i?t[1]:t[2],u=Math.ceil(l/2),c=i?"i * 2, rc.y":"rc.y, i * 2",h=r?"rc.z, i * 2":"i * 2, rc.z",d=i?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",m="";s&&(o?f=`vec4 activation(vec4 a) {
          vec4 b = getPreluActivationWeightsAtOutCoords();
          `+s+`
        }`:f=`vec4 activation(vec4 x) {
          `+s+`
        }`,m="result = activation(result);");var g=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode=`
      `+f+`

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

      vec4 dot2x2ARowBCol(ivec3 rc) {
        vec4 result = vec4(0);
        for (int i = 0; i < `+u+`; i++) {
          vec4 a = getMatrixA(rc.x, `+c+`);
          vec4 b = getMatrixB(rc.x, `+h+`);

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

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

        `+g+`

        `+m+`

        setOutput(result);
      }
    `}return n}();var x9=function(){function n(t,e,i){this.variableNames=["probs"],this.outputShape=[t,i],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 < `+(e-1)+`; i++) {
          cdf += getProbs(batch, i);

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

        // If no other event happened, last event happened.
        setOutput(float(`+(e-1)+`));
      }
    `}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.seedLoc==null&&(e.seedLoc=i.getUniformLocation(r,"seed")),i.gl.uniform1f(e.seedLoc,t)}},n}();var C9=function(){function n(t,e,i,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`
      void main() {
        ivec2 coords = getOutputCoords();
        int index = round(getIndices(coords.x));
        setOutput(mix(float(`+r+"), float("+i+`),
                      float(index == coords.y)));
      }
    `}return n}();var D9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(e===0)this.userCode=`
        void main() {
          setOutput(vec4(getA(), 0., 0., 0.));
        }
      `;else{var i=Jt("rc",e),r=Je(e),a=R9(e,t,i),s=O9(e,t[t.length-1],t[t.length-2],i),o=E9(t,i);this.userCode=`
        void main() {
          `+r+` rc = getOutputCoords();

          if(`+a+`) {
            setOutput(vec4(0));
          } else {
            `+s+`

            setOutput(vec4(`+o+`));
          }
        }
      `}}return n}();function k9(n,t){for(var e=[],i=0;i<=1;i++)for(var r=0;r<=1;r++){for(var a=(i===0?"r":"rp1")+", "+(r===0?"c":"cp1"),s=2;s<n;s++)a=t[t.length-1-s]+","+a;e.push(a)}return e}function R9(n,t,e){if(n===1)return"rc > "+t[0];for(var i="",r=n-2;r<n;r++)i+=e[r]+" >= "+t[r],r<n-1&&(i+="||");return i}function O9(n,t,e,i){if(n===1)return"";var r=i.slice(-2);return`
    int r = `+r[0]+`;
    int c = `+r[1]+`;
    int rp1 = r + 1;
    int cp1 = c + 1;

    bool cEdge = cp1 >= `+t+`;
    bool rEdge = rp1 >= `+e+`;
  `}function E9(n,t){var e=n.length,i=k9(e,t);return e===1?`getA(rc),
            rc + 1 >= `+n[0]+` ? 0. : getA(rc + 1),
            0, 0`:"getA("+i[0]+`),
          cEdge ? 0. : getA(`+i[1]+`),
          rEdge ? 0. : getA(`+i[2]+`),
          rEdge || cEdge ? 0. : getA(`+i[3]+")"}var F9=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=e.map(function(u,c){return u[0]+t[c]+u[1]});var r=t.length,a=Je(r),s=e.map(function(u){return u[0]}).join(","),o=e.map(function(u,c){return u[0]+t[c]}).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);if(r===1){this.userCode=`
        int start = `+s+`;
        int end = `+o+`;

        void main() {
          int outC = getOutputCoords();
          if (outC < start || outC >= end) {
            setOutput(float(`+i+`));
          } else {
            setOutput(getX(outC - start));
          }
        }
      `;return}this.userCode=`
      `+a+" start = "+a+"("+s+`);
      `+a+" end = "+a+"("+o+`);

      void main() {
        `+a+` outC = getOutputCoords();
        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
          setOutput(float(`+i+`));
        } else {
          `+a+` coords = outC - start;
          setOutput(getX(`+l+`));
        }
      }
    `}return n}();var W9=function(){function n(t,e,i){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(v,b){return v[0]+t[b]+v[1]});for(var r=t.length,a=Je(r),s=e.map(function(v){return v[0]}).join(","),o=e.map(function(v,b){return v[0]+t[b]}).join(","),l=Jt("rc",r),u=Jt("source",r),c=l[r-1]+" < "+this.outputShape[r-1],h=r===1?"source":"vec2("+u.slice(-2).join()+")",d=[a+" rc = outputLoc;",l[r-1]+` += 1;
       if(`+c+`) {
      `,r===1?"":`}
       rc = outputLoc;
       `+l[r-2]+` += 1;
       if(`+l[r-2]+" < "+this.outputShape[r-2]+") {",r===1?"":"  "+l[r-1]+` += 1;
         if(`+c+") {"],p=r===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",m=0,g=r===1?2:4;m<g;m++)f+=`
        `+d[m]+`
        if (`+p+`) {
          result[`+m+"] = float("+i+`);
        } else {
          `+a+` source = rc - start;
          result[`+m+"] = getChannel(getX("+u.join()+"), "+h+`);
        }
      `;f+=r===1?"} ":"}}",this.userCode=`
      const `+a+" start = "+a+"("+s+`);
      const `+a+" end = "+a+"("+o+`);

      void main() {
        `+a+` outputLoc = getOutputCoords();
        vec4 result = vec4(0.);
        `+f+`
        setOutput(result);
      }
    `}return n}();var Ls=function(){function n(t,e,i,r,a){if(r===void 0&&(r=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&i)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideHeight,l=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,p=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var m=e==="avg",g="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",v="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",b="0.0";if(m||(b="-1.0 / 1e-20"),i){var w=">=";this.userCode=`
        const ivec2 strides = ivec2(`+o+", "+l+`);
        const ivec2 pads = ivec2(`+p+", "+f+`);

        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 < `+h+`;
              wR += `+u+`) {
            int xR = xRCorner + wR;

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

            for (int wC = 0; wC < `+d+`;
                wC += `+c+`) {
              int xC = xCCorner + wC;

              if (xC < 0 || xC >= `+t.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 `+w+` currMinMaxValue) {
                minMaxValue = value;
                minMaxValueFound = 1.0;
                minMaxPosition = `+(r?a?g:v:"wR * "+d+" + wC")+`;
              }
            }
          }
          setOutput(float(minMaxPosition));
        }
      `;return}var S="max",L=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(L="avgValue / count");var N=Math.floor(s/4)*4,C=s%4,R=`
      if (`+m+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+S+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec2 strides = ivec2(`+o+", "+l+`);
      const ivec2 pads = ivec2(`+p+", "+f+`);
      const float initializationValue = `+b+`;
      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 >= `+t.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(`+b+`);
        float avgValue = 0.0;
        count = 0.0;

        for (int wR = 0; wR < `+h+`;
            wR += `+u+`) {
          int xR = xRCorner + wR;

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

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

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

            `+R+`
          }

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

            `+R+`
          } else if (`+(C===2)+`) {
            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              getValue(batch, xR, xC + `+c+`, d),
              initializationValue,
              initializationValue
            );

            `+R+`
          } else if (`+(C===3)+`) {
            vec4 values = vec4(
              getValue(batch, xR, xC, d),
              getValue(batch, xR, xC + `+c+`, d),
              getValue(batch, xR, xC + 2 * `+c+`, d),
              initializationValue
            );

            `+R+`
          }
        }
        setOutput(`+L+`);
      }
    `}return n}(),yp=function(){function n(t,e,i,r,a){if(r===void 0&&(r=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&i)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideDepth,l=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,h=t.dilationHeight,d=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,v=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var w=e==="avg",S="0.0";if(w||(S="-1.0 / 1e-20"),i){var L=">=";this.userCode=`
        const ivec3 strides =
            ivec3(`+o+", "+l+", "+u+`);
        const ivec3 pads = ivec3(`+g+", "+v+", "+b+`);

        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 < `+p+`;
              wD += `+c+`) {
            int xD = xDCorner + wD;

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

            for (int wR = 0; wR < `+f+`;
                wR += `+h+`) {
              int xR = xRCorner + wR;

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

              for (int wC = 0; wC < `+m+`;
                  wC += `+d+`) {
                int xC = xCCorner + wC;

                if (xC < 0 || xC >= `+t.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 `+L+` currMinMaxValue) {
                  minMaxValue = value;
                  minMaxValueFound = 1.0;
                  minMaxPosition = `+(r?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+m+` +
                      wR * `+m+" + wC")+`;
                }
              }
            }
          }
          setOutput(float(minMaxPosition));
        }
      `;return}var N="max",C=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(C="avgValue / count");var R=Math.floor(s/4)*4,D=s%4,k=`
      if (`+w+`) {
        avgValue += dot(values, ones);
      } else {
        minMaxValue = `+N+`(values, minMaxValue);
      }
    `;this.userCode=`
      const ivec3 strides =
        ivec3(`+o+", "+l+", "+u+`);
      const ivec3 pads = ivec3(`+g+", "+v+", "+b+`);
      const float initializationValue = `+S+`;
      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 >= `+t.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(`+S+`);
        float avgValue = 0.0;
        count = 0.0;

        for (int wD = 0; wD < `+p+`;
            wD += `+c+`) {
          int xD = xDCorner + wD;

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

          for (int wR = 0; wR < `+f+`;
            wR += `+h+`) {
            int xR = xRCorner + wR;

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

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

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

              `+k+`
            }

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

              `+k+`
            } else if (`+(D===2)+`) {
              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                getValue(batch, xD, xR, xC + `+d+`, ch),
                initializationValue,
                initializationValue
              );

              `+k+`
            } else if (`+(D===3)+`) {
              vec4 values = vec4(
                getValue(batch, xD, xR, xC, ch),
                getValue(batch, xD, xR, xC + `+d+`, ch),
                getValue(batch, xD, xR, xC + 2 * `+d+`, ch),
                initializationValue
              );

              `+k+`
            }
          }
          setOutput(`+C+`);
        }
      }
    `}return n}();var aL=function(){function n(t,e){this.variableNames=["x"];var i=t.windowSize,r=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[r,s];var o="0.0",l="";e==="prod"?o="1.0":e==="min"?(o="1.0 / 1e-20",l="min"):e==="max"&&(o="-1.0 / 1e-20",l="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="sum"?u="sumValue":e==="prod"?u="prodValue":e==="all"?u="allValue":e==="any"&&(u="anyValue");var c=Math.floor(i/4)*4,h=i%4,d=`
      if (`+(e==="sum")+`) {
        sumValue += dot(values, ones);
      } else if (`+(e==="prod")+`) {
        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
        prodValue *= tmp[0] * tmp[1];
      } else {
        minMaxValue = `+l+`(values, minMaxValue);
      }
    `,p="vec4";e==="all"?(o="1.0",d=`
        bool reducedAllValue = all(values);
        float floatedReducedAllValue = float(reducedAllValue);
        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
      `,p="bvec4"):e==="any"&&(o="0.0",d=`
        bool reducedAnyValue = any(values);
        float floatedReducedAnyValue = float(reducedAnyValue);
        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
      `,p="bvec4");var f="";a%i>0&&(f=`
        if (inIdx < 0 || inIdx >= `+a+`) {
          return initializationValue;
        }
      `),this.userCode=`
      const float initializationValue = `+o+`;
      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);

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

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

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

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

          `+d+`
        }

        int inIdx = inOffset + `+c+`;
        if (`+(h===1)+`) {
          `+p+" values = "+p+`(
            getValue(batch, inIdx),
            initializationValue,
            initializationValue,
            initializationValue
          );

          `+d+`
        } else if (`+(h===2)+`) {
          `+p+" values = "+p+`(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            initializationValue,
            initializationValue
          );

          `+d+`
        } else if (`+(h===3)+`) {
          `+p+" values = "+p+`(
            getValue(batch, inIdx),
            getValue(batch, inIdx + 1),
            getValue(batch, inIdx + 2),
            initializationValue
          );

          `+d+`
        }
        setOutput(`+u+`);
      }
    `}return n}();var sL=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var i="",r=0;r<4;r++){var a="thisRC = rc;";r%2===1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),i+=`
        `+a+`
        `+(r>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[`+r+`] =
            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
        `+(r>0?"}":"")+`
      `}this.userCode=`
      `+U9(e)+`
      `+up(t)+`

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

        vec4 result = vec4(0.);

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

        `+i+`

        setOutput(result);
      }
    `}return n}();function U9(n){var t=wr(["r","c","d"],n);return`
    ivec3 inputCoordsFromReshapedOutCoords(int index) {
      `+t+`
      return ivec3(r, c, d);
    }
  `}var B9=function(){function n(t,e,i){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],s=r[2],o=t.shape,l=o[1],u=o[2],c=[i&&l>1?a-1:a,i&&u>1?s-1:s],h=[i&&l>1?l-1:l,i&&u>1?u-1:u],d=c[0]/h[0],p=c[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,v=Math.ceil(m)*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(`+d+`);
        const float widthScale = float(`+p+`);

        const float invHeightScale = float(`+f+`);
        const float invWidthScale = float(`+m+`);

        const int winHeight = int(`+g+`);
        const int winWidth = int(`+v+`);

        // 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 >= `+u+`) {
              continue;
            }

            float dxR = float(dyR) * heightScale;
            int topDxRIndex = int(floor(dxR));
            int bottomDxRIndex = int(min(ceil(dxR), `+(a-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), `+(s-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 n}();var z9=function(){function n(t,e,i,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i];this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+u[0]/c[0]+`,
          `+u[1]/c[1]+`);
      const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.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 n}();var P9=function(){function n(t,e,i,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i];this.userCode=`
      const vec3 effectiveInputOverOutputRatioRC = vec3(
          `+u[0]/c[0]+`,
          `+u[1]/c[1]+`,
          `+u[1]/c[1]+`);
      const vec3 inputShapeRC = vec3(`+s+".0, "+o+`.0,
                                     `+o+`.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 < `+(i-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 n}();var _9=function(){function n(t,e,i){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],s=r[2],o=t.shape,l=o[1],u=o[2],c=[i&&l>1?a-1:a,i&&u>1?s-1:s],h=[i&&l>1?l-1:l,i&&u>1?u-1:u],d=c[0]/h[0],p=c[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,v=Math.ceil(m)*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(`+d+`);
        const float widthScale = float(`+p+`);

        const float invHeightScale = float(`+f+`);
        const float invWidthScale = float(`+m+`);

        const int winHeight = int(`+g+`);
        const int winWidth = int(`+v+`);

        // 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 >= `+u+`) {
              continue;
            }

            float sourceFracRow =
              float(`+c[0]+`) *
                (float(dyR) / float(`+h[0]+`));

            float sourceFracCol =
                float(`+c[1]+`) *
                  (float(dyC) / float(`+h[1]+`));

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

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

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

        setOutput(accumulator);
      }
    `}return n}();var M9=function(){function n(t,e,i,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i],h=r?"0.5":"0.0";this.userCode=`
      const vec2 effectiveInputOverOutputRatioRC = vec2(
          `+u[0]/c[0]+`,
          `+u[1]/c[1]+`);
      const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.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 + `+h+`)));

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

        setOutput(newValue);
      }
    `}return n}();var H9=function(){function n(t,e){this.variableNames=["x"];var i=t.length;if(i>4)throw new Error("WebGL backend: Reverse of rank-"+i+" tensor is not yet supported");if(this.outputShape=t,i===1){this.userCode=`
        void main() {
          int coord = getOutputCoords();
          setOutput(getX(`+t[0]+` - coord - 1));
        }
      `;return}var r=function(o){return e.indexOf(o)!==-1&&t[o]!==1?t[o]+" - coords["+o+"] - 1":"coords["+o+"]"},a=t.map(function(o,l){return r(l)}).join(","),s=Je(i);this.userCode=`
      void main() {
        `+s+` coords = getOutputCoords();
        setOutput(getX(`+a+`));
      }
    `}return n}();var V9=function(){function n(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var i=t.length;if(i>4)throw new Error("WebGL backend: Reverse of rank-"+i+" tensor is not yet supported");this.outputShape=t;var r=Jt("rc",i),a=r[i-1]+" + 1 < "+this.outputShape[i-1],s=r[i-2]+" + 1 < "+this.outputShape[i-2],o=Je(i);i===1?this.userCode=`
        void main(){
          int rc = getOutputCoords();
          vec4 result = vec4(0.);
          result.r = getChannel(getX(`+t[0]+` - rc - 1),
            `+t[0]+` - rc - 1);
          if(`+a+`){
              result.g = getChannel(getX(`+t[0]+` - (rc  + 1) - 1),
                `+t[0]+` - (rc  + 1) - 1);
          }
          setOutput(result);
        }
      `:this.userCode=`
        void main() {
          `+o+` rc = getOutputCoords();
          vec4 result = vec4(0.);
          result.r = `+l(r.slice())+`;
          if(`+a+`){
            result.g = `+u(r.slice())+`;
          }
          if(`+s+`) {
            result.b = `+c(r.slice())+`;
            if(`+a+`) {
              result.a = `+h(r.slice())+`;
            }
          }
          setOutput(result);
        }
    `;function l(f){return d(f)}function u(f){return f[i-1]="("+f[i-1]+" + 1)",d(f)}function c(f){return f[i-2]="("+f[i-2]+" + 1)",d(f)}function h(f){return f[i-1]="("+f[i-1]+" + 1)",f[i-2]="("+f[i-2]+" + 1)",d(f)}function d(f){var m=t.map(function(b,w){return p(w,f)}),g=m.join(","),v=m.slice(-2).join(",");return"getChannel(getX("+g+"), vec2("+v+"))"}function p(f,m){return e.indexOf(f)!==-1&&t[f]!==1?t[f]+" - "+m[f]+" - 1":""+m[f]}}return n}();var oL=function(){function n(t,e,i,r,a,s,o){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;var l=Je(a.length),u=Je(s.length),c="";i===1?c="i":i===2&&(c="i, j");var h="getIndices("+c+")",d="";r===1?d="i":r===2&&(d="i, coords[1]");var p="getUpdates("+d+")",f=e>1?"strides[j]":"strides";this.userCode=`
        `+l+" strides = "+l+"("+a+`);

        void main() {
          `+u+` coords = getOutputCoords();
          float sum = 0.0;
          bool found = false;
          for (int i = 0; i < `+t+`; i++) {
            int flattenedIndex = 0;
            for (int j = 0; j < `+e+`; j++) {
              int index = round(`+h+`);
              flattenedIndex += index * `+f+`;
            }
            if (flattenedIndex == coords[0]) {
              sum += `+p+`;
              found = true;
            }
          }
          setOutput(mix(getDefaultValue(), sum, float(found)));
        }
      `}return n}();var q9=function(){function n(t,e){this.variableNames=["x","segmentIds"];var i=t.windowSize,r=t.batchSize,a=t.inSize,s=t.numSegments,o=s*Math.ceil(a/i);this.outputShape=[r,o];var l="0.0",u="sumValue",c=Math.floor(i/4)*4,h=i%4,d=`
        sumValue += dot(values, segFilter);
    `,p="";a%i>0&&(p=`
        if (inIdx < 0 || inIdx >= `+a+`) {
          return initializationValue;
        }
      `);var f="";a%i>0&&(f=`
        if (inIdx < 0 || inIdx >= `+a+`) {
          return -1.0;
        }
      `),this.userCode=`
      const float initializationValue = `+l+`;

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

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

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

        float sumValue = 0.0;

        for (int i = 0; i < `+c+`; 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
          );

          `+d+`
        }

        int inIdx = inOffset + `+c+`;
        if (`+(h===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
          );

          `+d+`
        } else if (`+(h===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
          );

          `+d+`
        } else if (`+(h===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
          );

          `+d+`
        }
        setOutput(`+u+`);
      }
    `}return n}();var G9=function(){function n(t,e,i){this.variableNames=["c","a","b"],this.outputShape=e;var r,a;if(i>4)throw Error("Where for rank "+i+" is not yet supported");if(i===1)a="resRC",r="resRC";else{for(var s=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[],u=0;u<e.length;u++)l.push(""+s[u]),u<t&&o.push(""+s[u]);r=o.join(),a=l.join()}var c=Je(i);this.userCode=`
      void main() {
        `+c+` resRC = getOutputCoords();
        float cVal = getC(`+r+`);
        if (cVal >= 1.0) {
          setOutput(getA(`+a+`));
        } else {
          setOutput(getB(`+a+`));
        }
      }
    `}return n}();var K9=function(){function n(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e=Je(this.rank),i="uniform int start["+this.rank+"];",r=Y9(this.rank),a,s=t.map(function(o,l){return"sourceLoc."+bp[l]+" = start["+l+"] + coords."+bp[l]+";"});a=`
        `+e+` sourceLoc;
        `+e+` coords = getOutputCoords();
        `+s.join(`
`)+`
      `,this.userCode=`
      `+i+`
      void main() {
        `+a+`
        setOutput(getSource(`+r+`));
      }
    `}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(i,r){if(e.startLoc==null&&(e.startLoc=i.getUniformLocationNoThrow(r,"start"),e.startLoc==null))return;i.gl.uniform1iv(e.startLoc,t)}},n}(),bp=["x","y","z","w","u","v"];function Y9(n){if(n===1)return"sourceLoc";if(n<=6)return bp.slice(0,n).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+n+" is not yet supported")}var j9=function(){function n(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Je(this.rank),i=Jt("coords",this.rank),r=Jt("sourceLoc",this.rank),a=this.rank===1?"sourceLoc":"vec2("+r.slice(-2).join()+")",s="getChannel(getSource("+r.join()+"), "+a+")",o=`
      result.x = `+s+`;
      if (++`+i[this.rank-1]+" < "+t[this.rank-1]+`) {
        ++`+r[this.rank-1]+`;
        result.y = `+s+`;
        --`+r[this.rank-1]+`;
      }
    `,l=this.rank===1?"":`
      --`+i[this.rank-1]+`;
      if (++`+i[this.rank-2]+" < "+t[this.rank-2]+`) {
        ++`+r[this.rank-2]+`;
        result.z = `+s+`;
        if (++`+i[this.rank-1]+" < "+t[this.rank-1]+`) {
          ++`+r[this.rank-1]+`;
          result.w = `+s+`;
        }
      }
    `,u=this.rank<=4?`sourceLoc = coords +
            `+e+"("+t.map(function(c,h){return"start["+h+"]"}).join()+");":t.map(function(c,h){return r[h]+" = "+i[h]+" + start["+h+"];"}).join(`
`);this.userCode=`
      uniform int start[`+this.rank+`];
      void main() {
        `+e+` coords = getOutputCoords();
        `+e+` sourceLoc;
        `+u+`
        vec4 result = vec4(0.);
        `+o+`
        `+l+`
        setOutput(result);
      }
    `}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(i,r){if(e.startLoc==null&&(e.startLoc=i.getUniformLocationNoThrow(r,"start"),e.startLoc==null))return;i.gl.uniform1iv(e.startLoc,t)}},n}();var $9=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=i;var r=i.length,a=Je(i.length),s=Je(i.length),o="";if(r===1)o="coords * strides + begin";else{var l=0;o=i.map(function(u,c){return l++,i.length===1?"coords * strides["+c+"] + begin["+c+"]":"coords["+(l-1)+"] * strides["+c+"] + begin["+c+"]"}).join(",")}this.userCode=`
      `+a+" begin = "+a+"("+t+`);
      `+a+" strides = "+a+"("+e+`);

      void main() {
        `+s+` coords = getOutputCoords();
        setOutput(getX(`+o+`));
      }
    `}return n}();var X9=function(){function n(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return n.prototype.acquireTexture=function(t,e,i){var r=uL(e,i),a=cL(t,r,i);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var s=lL(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,i);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}var l;return r===Rt.PACKED_2X2_FLOAT32?l=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):r===Rt.PACKED_2X2_FLOAT16?l=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):r===Rt.UNPACKED_FLOAT32?l=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):r===Rt.UNPACKED_FLOAT16?l=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):r===Rt.PACKED_4X1_UNSIGNED_BYTE&&(l=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(l),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),l},n.prototype.releaseTexture=function(t,e,i,r){if(this.freeTextures==null)return;var a=uL(i,r),s=cL(e,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);var o=lL(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),l=x.env().get("WEBGL_DELETE_TEXTURE_THRESHOLD");l!==-1&&this._numBytesAllocated>l?(this.gpgpu.deleteMatrixTexture(t),this._numBytesAllocated-=o):(this.freeTextures[s].push(t),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[s],c=u.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(c,1),this.log()},n.prototype.log=function(){if(!this.logEnabled)return;var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")");var e=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*e)+"%)")},Object.defineProperty(n.prototype,"numBytesAllocated",{get:function(){return this._numBytesAllocated},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"numBytesFree",{get:function(){return this._numBytesFree},enumerable:!0,configurable:!0}),n.prototype.getNumUsedTextures=function(){return this.numUsedTextures},n.prototype.getNumFreeTextures=function(){return this.numFreeTextures},n.prototype.dispose=function(){var t=this;if(this.freeTextures==null)return;for(var e in this.freeTextures)this.freeTextures[e].forEach(function(i){t.gpgpu.deleteMatrixTexture(i)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(r){t.gpgpu.deleteMatrixTexture(r)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0},n}();function J9(n,t){var e=n;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===n.RGBA)return 16;if(t===e.RGBA16F)return 8;throw new Error("Unknown internal format "+t)}function lL(n,t,e,i,r){var a=Z9(t,i),s;if(r){var o=ha(n[0],n[1]),l=o[0],u=o[1];s=l*u}else{var c=gs(n[0],n[1]),h=c[0],d=c[1];s=h*d}var p=J9(e,a);return s*p}function Z9(n,t){switch(n){case Rt.PACKED_2X2_FLOAT32:return mp(t);case Rt.PACKED_2X2_FLOAT16:return gp(t);case Rt.UNPACKED_FLOAT32:return dp(t);case Rt.UNPACKED_FLOAT16:return pp(t);case Rt.PACKED_4X1_UNSIGNED_BYTE:return fp(t);default:throw new Error("Unknown physical texture type "+n)}}function Q9(n){return x.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?Rt.PACKED_2X2_FLOAT32:Rt.UNPACKED_FLOAT32:n?Rt.PACKED_2X2_FLOAT16:Rt.UNPACKED_FLOAT16}function uL(n,t){if(n===an.UPLOAD)return Rt.PACKED_2X2_FLOAT32;if(n===an.RENDER||n==null)return Q9(t);if(n===an.DOWNLOAD||n===an.PIXELS)return Rt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+n)}function cL(n,t,e){return n[0]+"_"+n[1]+"_"+t+"_"+e}var t6=function(){function n(t,e){this.variableNames=["A"];for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[r]*e[r];this.outputShape=i,this.rank=i.length;var a=Je(this.rank),s=e6(t);this.userCode=`
      void main() {
        `+a+` resRC = getOutputCoords();
        setOutput(getA(`+s+`));
      }
    `}return n}();function e6(n){var t=n.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(t===1)return"imod(resRC, "+n[0]+")";for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],i=[],r=0;r<n.length;r++)i.push("imod("+e[r]+", "+n[r]+")");return i.join()}var Re=function(){function n(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode=`
      float unaryOperation(float x) {
        `+e+`
      }

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

        setOutput(y);
      }
    `}return n}(),si="if (isnan(x)) return x;",n6="return x;",hL="return abs(x);",dL=si+`
  return (x < 0.0) ? 0.0 : x;
`,pL=si+`
  return (x < 0.0) ? 0.0 : min(6.0, x);
`,fL="return (x >= 0.0) ? x : (exp(x) - 1.0);",i6=`
  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
  // see: https://arxiv.org/abs/1706.02515
  float scaleAlpha = `+x.backend_util.SELU_SCALEALPHA+`;
  float scale = `+x.backend_util.SELU_SCALE+`;
  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`;function r6(n){return n===void 0&&(n=0),si+(`
    return x > 0.0 ? 1.0 : float(`+n+`);
  `)}var mL="return -x;",gL="return ceil(x);",vL="return floor(x);",a6=`
  if (isnan(x)) { return 0.0; }
  return sign(x);
`,s6="return float(isnan(x));",o6="return float(isinf(x));",l6="return float(!isnan(x) && !isinf(x));",u6=`
  // 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;
    }
  }
`,yL="return exp(x);",bL="return exp(x) - 1.0;",c6=`if (x < 0.0) return NAN;
  return log(x);`,h6="return log(1.0 + x);",d6="return sqrt(x);",p6="return inversesqrt(x);",f6="return 1.0 / (1.0 + exp(-1.0 * x));",m6=`
  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;
`,g6=si+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return asin(x);
`,v6=si+`
  if (abs(x) > 1.) {
    return NAN;
  }
  return acos(x);
`,y6=si+`
  return atan(x);
`,b6=`
  float e2x = exp(x);
  return (e2x - 1.0 / e2x) / 2.0;
`,w6=`
  float e2x = exp(-x);
  return (e2x + 1.0 / e2x) / 2.0;
`,S6=`
  float e2x = exp(-2.0 * abs(x));
  return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,L6=si+"return log(x + sqrt(x * x + 1.0));",I6=si+`
  if (x < 1.0) return NAN;
  return log(x + sqrt(x * x - 1.0));`,A6=si+`
  if ((x < -1.0) || (x > 1.0)) return NAN;
  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,T6=`
  // Error function is calculated approximately with elementary function.
  // See "Handbook of Mathematical Functions with Formulas,
  // Graphs, and Mathematical Tables", Abramowitz and Stegun.
  float p = `+x.backend_util.ERF_P+`;
  float a1 = `+x.backend_util.ERF_A1+`;
  float a2 = `+x.backend_util.ERF_A2+`;
  float a3 = `+x.backend_util.ERF_A3+`;
  float a4 = `+x.backend_util.ERF_A4+`;
  float a5 = `+x.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));
`,N6="return 1.0 / x;",x6="return float(!(x >= 1.0));",C6="return float(int(x));",ol="return x;";var R6="return x;",O6=`
  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;
`,wL=`
  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;
`,SL=`
  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;
`,LL=`
  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;
`,Is=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`
      vec4 unaryOperation(vec4 x) {
        `+e+`
      }

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

        setOutput(y);
      }
    `}return n}();var E6=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,i=Jt("rc",e),r=Je(e),a=EM(e,i),s=i.slice(-2),o=e<=1?"rc":"vec2("+s.join(",")+")";this.userCode=`
      void main() {
        `+r+` rc = getOutputCoords();
        vec4 packedInput = getA(`+a+`);

        setOutput(getChannel(packedInput, `+o+`));
      }
    `}return n}();var IL=x.backend_util.segment_util,D6=x.kernel_impls.split,k6=x.kernel_impls.tile,F6=x.kernel_impls.topkImpl,W6=x.kernel_impls.whereImpl,U6=1e-7,B6=1e-4,ll={};function z6(n){return n in ll||(ll[n]={}),ll[n]}function ul(n,t){if(t===void 0&&(t=!1),n==="linear")return t?R6:n6;if(n==="relu")return t?wL:dL;if(n==="elu")return t?LL:fL;if(n==="relu6")return t?SL:pL;if(n==="prelu")return t?DS:ES;throw new Error("Activation "+n+" has not been implemented for the WebGL backend.")}var P6=128,_6=600;function M6(){return x.env().global.screen==null?1024:x.env().global.screen.height*x.env().global.screen.width*window.devicePixelRatio*_6/1024/1024}var AL=1e3,TL=function(n){z_(t,n);function t(e){var i=n.call(this)||this;if(i.pendingRead=new WeakMap,i.pendingDisposal=new WeakSet,i.dataRefCount=new WeakMap,i.numBytesInGPU=0,i.uploadWaitMs=0,i.downloadWaitMs=0,i.warnedAboutMemory=!1,i.warnedAboutCPUBackend=!1,i.pendingDeletes=0,i.disposed=!1,!x.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){var r=Hn(x.env().getNumber("WEBGL_VERSION"));i.binaryCache=z6(x.env().getNumber("WEBGL_VERSION")),i.gpgpu=new iL(r),i.canvas=r.canvas,i.gpgpuCreatedLocally=!0}else i.gpgpu=e,i.binaryCache={},i.gpgpuCreatedLocally=!1,i.canvas=e.gl.canvas;return i.textureManager=new X9(i.gpgpu),i.numMBBeforeWarning=M6(),i.texData=new x.DataStorage(i,x.engine()),i}return t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,i,r){if((x.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||x.env().getBool("DEBUG"))&&this.checkNumericalProblems(e),r==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var a={};return this.texData.set(a,{shape:i,dtype:r,values:e,usage:an.UPLOAD,refCount:1}),a},t.prototype.incRef=function(e){var i=this.texData.get(e);i.refCount++},t.prototype.decRef=function(e){if(this.texData.has(e)){var i=this.texData.get(e);i.refCount--}},t.prototype.move=function(e,i,r,a){if(x.env().getBool("DEBUG")&&this.checkNumericalProblems(i),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:r,dtype:a,values:i,usage:an.UPLOAD,refCount:1})},t.prototype.disposeIntermediateTensorInfo=function(e){var i=e.dataId;if(this.texData.has(i)){var r=this.texData.get(i);r.refCount--,r.refCount<1&&this.disposeData(i)}},t.prototype.readSync=function(e){var i=this.texData.get(e),r=i.values,a=i.dtype,s=i.complexTensors,o=i.slice,l=i.shape,u=i.isPacked;if(o!=null){var c=void 0;u?c=new Is(l,ol):c=new Re(l,ol);var h=this.runWebGLProgram(c,[{dataId:e,shape:l,dtype:a}],a),d=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),d}if(r!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return r;var p=this.activeTimers!=null,f;p&&(f=x.util.now());var m;if(a==="complex64"){var g=s.real.dataSync(),v=s.imag.dataSync();m=x.backend_util.mergeRealAndImagArrays(g,v)}else m=this.getValuesFromTexture(e);return p&&(this.downloadWaitMs+=x.util.now()-f),this.convertAndCacheOnCPU(e,m)},t.prototype.read=function(e){return Jo(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,N,C,R;return Zo(this,function(D){switch(D.label){case 0:if(this.pendingRead.has(e))return i=this.pendingRead.get(e),[2,new Promise(function(k){return i.push(k)})];if(r=this.texData.get(e),a=r.values,s=r.shape,o=r.slice,l=r.dtype,u=r.complexTensors,c=r.isPacked,o!=null)return h=void 0,c?h=new Is(s,ol):h=new Re(s,ol),d=this.runWebGLProgram(h,[{dataId:e,shape:s,dtype:l}],l),p=this.read(d.dataId),this.disposeIntermediateTensorInfo(d),[2,p];if(a!=null)return[2,this.convertAndCacheOnCPU(e)];if(!x.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&x.env().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return f=null,l!=="complex64"&&x.env().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),g=this.texData.get(m.dataId),f=(R=this.gpgpu).createBufferFromTexture.apply(R,[g.texture].concat(vs(s)))),this.pendingRead.set(e,[]),l!=="complex64"?[4,this.gpgpu.createAndWaitForFence()]:[3,2];case 1:D.sent(),D.label=2;case 2:return l==="complex64"?[4,Promise.all([u.real.data(),u.imag.data()])]:[3,4];case 3:return b=D.sent(),w=b[0],S=b[1],v=x.backend_util.mergeRealAndImagArrays(w,S),[3,5];case 4:f==null?v=this.getValuesFromTexture(e):(L=x.util.sizeFromShape(s),v=this.gpgpu.downloadFloat32MatrixFromBuffer(f,L)),D.label=5;case 5:return m!=null&&this.disposeIntermediateTensorInfo(m),N=this.convertAndCacheOnCPU(e,v),C=this.pendingRead.get(e),this.pendingRead.delete(e),C.forEach(function(k){return k(N)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,N]}})})},t.prototype.checkNumericalProblems=function(e){if(e==null)return;for(var i=0;i<e.length;i++){var r=e[i];if(!Z0(r))throw x.env().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error("The value "+r+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'"):Error("The value "+r+" cannot be represented on this device.")}},t.prototype.getValuesFromTexture=function(e){var i,r=this.texData.get(e),a=r.shape,s=r.dtype,o=r.isPacked,l=x.util.sizeFromShape(a);if(x.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(e),c=this.texData.get(u.dataId),h=(i=this.gpgpu).downloadMatrixFromPackedTexture.apply(i,[c.texture].concat(vs(a))).subarray(0,l);return this.disposeIntermediateTensorInfo(u),h}var d=x.env().getBool("WEBGL_PACK")&&o===!0,p=d?tl(a):a,f=d?new u9(p):new l9(p),m=this.runWebGLProgram(f,[{shape:p,dtype:s,dataId:e}],"float32"),g=this.texData.get(m.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,l);return this.disposeIntermediateTensorInfo(m),v},t.prototype.time=function(e){return Jo(this,void 0,void 0,function(){var i,r,a,s,o,l,u;return Zo(this,function(c){switch(c.label){case 0:return i=this.activeTimers,r=[],a=!1,this.programTimersStack==null?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e(),s=x.util.flatten(this.activeTimers.map(function(h){return h.query})).filter(function(h){return h!=null}),o=x.util.flatten(this.activeTimers.map(function(h){return h.name})).filter(function(h){return h!=null}),this.activeTimers=i,a&&(this.programTimersStack=null),l={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(s)]:[3,2];case 1:return u=c.sent(),l.kernelMs=x.util.sum(u),l.getExtraProfileInfo=function(){return u.map(function(h,d){return{name:o[d],ms:h}}).map(function(h){return h.name+": "+h.ms}).join(", ")},[3,3];case 2:l.kernelMs={error:"WebGL query timers are not supported in this environment."},c.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,l]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},t.prototype.startTimer=function(){return x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:x.util.now(),endMs:null}},t.prototype.endTimer=function(e){return x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=x.util.now(),e)},t.prototype.getQueryTime=function(e){return Jo(this,void 0,void 0,function(){var i;return Zo(this,function(r){return x.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:(i=e,[2,i.endMs-i.startMs])})})},t.prototype.disposeData=function(e){if(this.pendingDisposal.has(e))return;if(this.pendingRead.has(e)){this.pendingDisposal.add(e),this.pendingDeletes++;return}if(!this.texData.has(e))return;this.releaseGPUData(e);var i=this.texData.get(e).complexTensors;i!=null&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)},t.prototype.releaseGPUData=function(e){var i=this.texData.get(e),r=i.texture,a=i.dtype,s=i.texShape,o=i.usage,l=i.isPacked,u=i.slice,c=u&&u.origDataId||e,h=this.dataRefCount.get(c);h>1?this.dataRefCount.set(c,h-1):(this.dataRefCount.delete(c),r!=null&&(this.numBytesInGPU-=this.computeBytes(s,a),this.textureManager.releaseTexture(r,s,o,l)));var d=this.texData.get(e);d.texture=null,d.texShape=null,d.isPacked=!1,d.slice=null},t.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},t.prototype.getDataInfo=function(e){return this.texData.get(e)},t.prototype.getCPUBackend=function(){return x.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=x.engine().findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,i){var r=this;i===void 0&&(i=P6);var a=this.getCPUBackend();return!this.warnedAboutCPUBackend&&a==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),a!=null&&e.every(function(s){return r.texData.get(s.dataId).texture==null&&x.util.sizeFromShape(s.shape)<i})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(e,i){var r=this.makeOutput(e.shape,"complex64"),a=this.texData.get(r.dataId);return a.complexTensors={real:x.engine().keep(e.clone()),imag:x.engine().keep(i.clone())},r},t.prototype.real=function(e){var i=this.texData.get(e.dataId);return i.complexTensors.real.clone()},t.prototype.imag=function(e){var i=this.texData.get(e.dataId);return i.complexTensors.imag.clone()},t.prototype.slice=function(e,i,r){if(this.shouldExecuteOnCPU([e])){var a=TM(this.texData.get(e.dataId).values,i,r,e.shape,e.dtype);return this.makeOutput(r,e.dtype,a)}if(x.util.sizeFromShape(r)===0)return x.tensor([],r,e.dtype);var s=this.texData.get(e.dataId).isPacked,o=x.slice_util.isSliceContinous(e.shape,i,r);if(s||!o){var l=x.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new j9(r):new K9(r),u=l.getCustomSetupFunc(i);return this.compileAndRun(l,[e],null,u)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,i,r)},t.prototype.shallowSlice=function(e,i,r){var a=this.texData.get(e.dataId),s=this.makeOutput(r,e.dtype),o=this.texData.get(s.dataId);Object.assign(o,a),o.shape=r,o.dtype=e.dtype;var l=x.slice_util.computeFlatOffset(i,e.strides);a.slice&&(l+=a.slice.flatOffset),o.slice={flatOffset:l,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,u+1),s},t.prototype.stridedSlice=function(e,i,r,a){var s=this,o=this.tryRunOnCpuOrThrow([e],function(){return s.cpuBackend.stridedSlice(e,i,r,a)});if(o)return o;var l=x.slice_util.computeOutShape(i,r,a);if(l.some(function(c){return c===0}))return x.tensor([],l);var u=new $9(i,a,l);return this.compileAndRun(u,[e])},t.prototype.reverse=function(e,i){var r=x.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new V9(e.shape,i):new H9(e.shape,i);return this.compileAndRun(r,[e])},t.prototype.concat=function(e,i){if(e[0].dtype==="complex64"){var r=e.map(function(f){return x.real(f)}),a=e.map(function(f){return x.imag(f)});return x.complex(this.concat(r,i),this.concat(a,i))}if(e.length===1)return e[0];if(e.length>x.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var s=Math.floor(e.length/2),o=this.concat(e.slice(0,s),i),l=this.concat(e.slice(s),i);return this.concat([o,l],i)}if(x.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var u=new $5(e.map(function(f){return f.shape}),i);return this.compileAndRun(u,e)}var c=x.backend_util.computeOutShape(e.map(function(f){return f.shape}),i),h=e.map(function(f){return f.as2D(-1,x.util.sizeFromShape(f.shape.slice(i)))}),d=new j5(h.map(function(f){return f.shape})),p=this.compileAndRun(d,h);return p.reshape(c)},t.prototype.neg=function(e){var i=this,r=this.tryRunOnCpuOrThrow([e],function(){return i.cpuBackend.neg(e)});if(r)return r;if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,mL,e.dtype);var a=new Re(e.shape,mL);return this.compileAndRun(a,[e])},t.prototype.batchMatMul=function(e,i,r,a){var s=r?e.shape[2]:e.shape[1],o=a?i.shape[1]:i.shape[2],l=r?e.shape[1]:e.shape[2],u=e.shape,c=u[0];if((s===1||o===1)&&l>AL){r&&(e=x.transpose(e,[0,2,1])),a&&(i=x.transpose(i,[0,2,1]));var h=o===1?e:e.as3D(c,l,1),d=o===1?2:1,p=o===1?i.as3D(c,1,l):i;return this.multiply(h,p).sum(d,!0)}var f=x.upcastType(e.dtype,i.dtype),m=new vp(e.shape,[c,s,o],r,a);return this.compileAndRun(m,[e,i],f)},t.prototype.fusedBatchMatMul=function(e){var i=e.a,r=e.b,a=e.transposeA,s=e.transposeB,o=e.bias,l=e.activation,u=e.preluActivationWeights,c=a?i.shape[2]:i.shape[1],h=s?r.shape[1]:r.shape[2],d=i.shape,p=d[0],f=x.upcastType(i.dtype,r.dtype),m=o!=null,g=u!=null,v=l?ul(l,!0):null,b=new vp(i.shape,[p,c,h],a,s,m,v,g),w=[i,r];return o&&w.push(o),u&&w.push(u),this.compileAndRun(b,w,f)},t.prototype.multiply=function(e,i){if(e.dtype==="complex64"){var r=this.texData.get(e.dataId),a=this.texData.get(i.dataId),s=new CS(xS.REAL,e.shape,i.shape),o=new CS(xS.IMAG,e.shape,i.shape),l=[this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag),this.makeComplexComponentTensorInfo(i,a.complexTensors.real),this.makeComplexComponentTensorInfo(i,a.complexTensors.imag)],u=this.compileAndRun(s,l),c=this.compileAndRun(o,l),h=this.complex(u,c);return u.dispose(),c.dispose(),h}var d=x.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var r=this.texData.get(e.dataId),a=this.texData.get(i.dataId),p=IM(e.shape,i.shape,r.values,a.values,d),f=p[0],m=p[1];return this.makeOutput(m,d,f)}if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,OS,e.dtype);var g=new wt(OS,e.shape,i.shape);return this.compileAndRun(g,[e,i],e.dtype)},t.prototype.localResponseNormalization4D=function(e,i,r,a,s){var o=x.env().getBool("WEBGL_PACK_NORMALIZATION")?new A9(e.shape,i,r,a,s):new L9(e.shape,i,r,a,s);return this.compileAndRun(o,[e])},t.prototype.LRNGrad=function(e,i,r,a,s,o,l){var u=new I9(i.shape,a,s,o,l);return this.compileAndRun(u,[i,r,e])},t.prototype.tile=function(e,i){if(e.dtype==="string"){var r=this.readSync(e.dataId),a=r.map(function(l){return x.util.decodeString(l)}),s=x.buffer(e.shape,e.dtype,a);return k6(s,i)}var o=new t6(e.shape,i);return this.compileAndRun(o,[e])},t.prototype.pad=function(e,i,r){var a=x.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new W9(e.shape,i,r):new F9(e.shape,i,r);return this.compileAndRun(a,[e])},t.prototype.gather=function(e,i,r){var a=this,s=this.tryRunOnCpuOrThrow([e,i],function(){return a.cpuBackend.gather(e,i,r)});if(s)return s;var o=new f9(e.shape,i.size,r);return this.compileAndRun(o,[e,i])},t.prototype.batchToSpaceND=function(e,i,r){x.util.assert(e.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var a=i.reduce(function(h,d){return h*d}),s=x.backend_util.getReshaped(e.shape,i,a),o=x.backend_util.getPermuted(s.length,i.length),l=x.backend_util.getReshapedPermuted(e.shape,i,a),u=x.backend_util.getSliceBeginCoords(r,i.length),c=x.backend_util.getSliceSize(l,r,i.length);return x.transpose(e.reshape(s),o).reshape(l).slice(u,c)},t.prototype.spaceToBatchND=function(e,i,r){x.util.assert(e.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var a=i.reduce(function(p,f){return p*f}),s=[[0,0]];s.push.apply(s,r);for(var o=1+i.length;o<e.shape.length;++o)s.push([0,0]);var l=e.pad(s),u=x.backend_util.getReshaped(l.shape,i,a,!1),c=x.backend_util.getPermuted(u.length,i.length,!1),h=x.backend_util.getReshapedPermuted(l.shape,i,a,!1),d=x.transpose(l.reshape(u),c);return x.reshape(d,h)},t.prototype.reduce=function(e,i,r){var a=e.shape[0],s=e.shape[1],o=x.backend_util.computeOptimalWindowSize(s),l=Math.ceil(s/o),u={windowSize:o,inSize:s,batchSize:a,outSize:l},c=new aL(u,i),h=this.compileAndRun(c,[e],r);return h.shape[1]===1?h:this.reduce(h,i,r)},t.prototype.argReduce=function(e,i,r){r===void 0&&(r=null);var a=e.shape[0],s=e.shape[1];r!=null&&(a=r.shape[0],s=r.shape[1]);var o=x.backend_util.computeOptimalWindowSize(s),l={windowSize:o,inSize:s,batchSize:a,outSize:Math.ceil(s/o)},u=new OM(l,i,r==null),c=[e];r!=null&&c.push(r);var h=this.compileAndRun(u,c,"int32");return h.shape[1]===1?h:this.argReduce(e,i,h)},t.prototype.argReducePacked=function(e,i,r){r===void 0&&(r=null);var a=r!=null?r.shape:e.shape,s=a[a.length-1],o=x.backend_util.computeOptimalWindowSize(s),l=new f5(a,o,i,r==null),u=r==null?[e]:[e,r],c=this.compileAndRun(l,u,"int32");return c.rank===e.rank?this.argReducePacked(e,i,c):c},t.prototype.sum=function(e,i){x.backend_util.assertAxesAreInnerMostDims("sum",i,e.rank);var r=x.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=x.util.sizeFromShape(s),l=e.as2D(-1,o),u=x.sumOutType(e.dtype);return this.reduce(l,"sum",u).reshape(a)},t.prototype.prod=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e],function(){return r.cpuBackend.prod(e,i)});if(a)return a;var s=x.backend_util.computeOutAndReduceShapes(e.shape,i),o=s[0],l=s[1],u=x.util.sizeFromShape(l),c=e.as2D(-1,u),h=x.sumOutType(e.dtype);return this.reduce(c,"prod",h).reshape(o)},t.prototype.unsortedSegmentSum=function(e,i,r){var a=0,s=x.backend_util.getAxesPermutation([a],e.rank),o=e;s!=null&&(o=x.transpose(e,s),a=x.backend_util.getInnerMostAxes(1,e.rank)[0]);var l=IL.computeOutShape(o.shape,a,r),u=x.util.sizeFromShape([o.shape[a]]),c=o.as2D(-1,u),h=x.sumOutType(e.dtype),d=this.segOpCompute(c,"unsortedSegmentSum",i,h,r).reshape(l);return s!=null&&(d=x.transpose(d,x.backend_util.getUndoAxesPermutation(s))),d},t.prototype.segOpCompute=function(e,i,r,a,s){var o=e.shape[0],l=e.shape[1],u=IL.segOpComputeOptimalWindowSize(l,s),c={windowSize:u,inSize:l,batchSize:o,numSegments:s},h=new q9(c,i),d=this.compileAndRun(h,[e,r],a);return d.shape[1]===s?d:(r=x.range(0,s).tile([l/u]),this.segOpCompute(d,i,r,a,s))},t.prototype.argMinMaxReduce=function(e,i,r){var a=[i];if(x.backend_util.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,e.rank),!x.env().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var s=x.backend_util.computeOutAndReduceShapes(e.shape,a),o=s[0],l=s[1],u=x.util.sizeFromShape(l),c=e.as2D(-1,u);return this.argReduce(c,r).reshape(o)}return this.argReducePacked(e,r)},t.prototype.argMin=function(e,i){return this.argMinMaxReduce(e,i,"min")},t.prototype.argMax=function(e,i){return this.argMinMaxReduce(e,i,"max")},t.prototype.cumsum=function(e,i,r,a){if(i!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+i));for(var s=e.shape[i],o=e,l=0;l<=Math.ceil(Math.log2(s))-1;l++){var u=new zS(e.shape,!1,a),c=u.getCustomSetupFunc(l),h=o;o=this.compileAndRun(u,[o],o.dtype,c),h.dispose()}if(r){var u=new zS(e.shape,r,a),h=o;o=this.compileAndRun(u,[o]),h.dispose()}return o},t.prototype.equal=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,F5,"bool");var r=new wt(b5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.notEqual=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,W5,"bool");var r=new wt(w5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.less=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.less(e,i)});if(a)return a;if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,U5,"bool");var s=new wt(S5,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.lessEqual=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,B5,"bool");var r=new wt(L5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.greater=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.greater(e,i)});if(a)return a;if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,z5,"bool");var s=new wt(I5,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.greaterEqual=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,P5,"bool");var r=new wt(A5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalNot=function(e){var i=new Re(e.shape,x6);return this.compileAndRun(i,[e])},t.prototype.logicalAnd=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,_5,"bool");var r=new wt(T5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalOr=function(e,i){if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,M5,"bool");var r=new wt(N5,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.select=function(e,i,r){var a=new G9(e.rank,i.shape,i.rank);return this.compileAndRun(a,[e,i,r],x.upcastType(i.dtype,r.dtype))},t.prototype.where=function(e){x.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var i=e.dataSync();return W6(e.shape,i)},t.prototype.topk=function(e,i,r){var a=e.dataSync();return F6(a,e.shape,e.dtype,i,r)},t.prototype.min=function(e,i){x.backend_util.assertAxesAreInnerMostDims("min",i,e.rank);var r=x.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=x.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"min",l.dtype).reshape(a)},t.prototype.minimum=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.minimum(e,i)});if(a)return a;var s=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(V5,e.shape,i.shape):new wt(C5,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.mod=function(e,i){var r=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(q5,e.shape,i.shape):new wt(R5,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.maximum=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.maximum(e,i)});if(a)return a;var s=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(H5,e.shape,i.shape):new wt(x5,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.all=function(e,i){x.backend_util.assertAxesAreInnerMostDims("all",i,e.rank);var r=x.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=x.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"all",l.dtype).reshape(a)},t.prototype.any=function(e,i){x.backend_util.assertAxesAreInnerMostDims("any",i,e.rank);var r=x.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=x.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"any",l.dtype).reshape(a)},t.prototype.floorDiv=function(e,i){var r=v5,a="int32";if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,E5,a);var s=new wt(r,e.shape,i.shape);return this.compileAndRun(s,[e,i],a)},t.prototype.add=function(e,i){if(e.dtype==="complex64"&&i.dtype==="complex64")return this.complexSeparableBinaryOp(e,i,cp);var r=x.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=gM(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,cp,r);var c=new wt(cp,e.shape,i.shape);return this.compileAndRun(c,[e,i],r)},t.prototype.packedUnaryOp=function(e,i,r){var a=new Is(e.shape,i);return this.compileAndRun(a,[e],r)},t.prototype.packedBinaryOp=function(e,i,r,a,s){s===void 0&&(s=!1);var o=new ki(r,e.shape,i.shape,s);return this.compileAndRun(o,[e,i],a)},t.prototype.complexSeparableBinaryOp=function(e,i,r){var a=this,s=this.texData.get(e.dataId),o=this.texData.get(i.dataId),l=[[s.complexTensors.real,o.complexTensors.real],[s.complexTensors.imag,o.complexTensors.imag]].map(function(d){var p=d[0],f=d[1],m=a.makeComplexComponentTensorInfo(e,p),g=a.makeComplexComponentTensorInfo(i,f),v=new wt(r,e.shape,i.shape);return a.compileAndRun(v,[m,g],x.upcastType(p.dtype,f.dtype))}),u=l[0],c=l[1],h=this.complex(u,c);return u.dispose(),c.dispose(),h},t.prototype.makeComplexComponentTensorInfo=function(e,i){return{dataId:i.dataId,dtype:i.dtype,shape:e.shape}},t.prototype.addN=function(e){if(e.length===1)return e[0];if(e.length>x.env().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(e.length/2),r=this.addN(e.slice(0,i)),a=this.addN(e.slice(i));return this.addN([r,a])}var s=e.map(function(c){return c.dtype}).reduce(function(c,h){return x.upcastType(c,h)}),o=e.map(function(c){return c.shape}),l=x.env().getBool("WEBGL_PACK"),u=l?new RM(e[0].shape,o):new CM(e[0].shape,o);return this.compileAndRun(u,e,s)},t.prototype.subtract=function(e,i){if(e.dtype==="complex64"&&i.dtype==="complex64")return this.complexSeparableBinaryOp(e,i,hp);var r=x.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=NM(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,hp,e.dtype);var c=new wt(hp,e.shape,i.shape);return this.compileAndRun(c,[e,i],r)},t.prototype.pow=function(e,i){var r=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),a=r?new ki(D5,e.shape,i.shape):new wt(y5,e.shape,i.shape),s=x.upcastType(e.dtype,i.dtype);return this.compileAndRun(a,[e,i],s)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var i=vM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,gL,e.dtype);var r=new Re(e.shape,gL);return this.compileAndRun(r,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e])){var i=wM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,vL,e.dtype);var r=new Re(e.shape,vL);return this.compileAndRun(r,[e])},t.prototype.sign=function(e){var i=new Re(e.shape,a6);return this.compileAndRun(i,[e])},t.prototype.isNaN=function(e){var i=new Re(e.shape,s6);return this.compileAndRun(i,[e],"bool")},t.prototype.isInf=function(e){var i=new Re(e.shape,o6);return this.compileAndRun(i,[e],"bool")},t.prototype.isFinite=function(e){var i=new Re(e.shape,l6);return this.compileAndRun(i,[e],"bool")},t.prototype.round=function(e){var i=new Re(e.shape,u6);return this.compileAndRun(i,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e])){var i=yM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,yL,e.dtype);var r=new Re(e.shape,yL);return this.compileAndRun(r,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var i=bM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,bL,e.dtype);var r=new Re(e.shape,bL);return this.compileAndRun(r,[e])},t.prototype.softmax=function(e,i){var r=x.util.parseAxisParam([i],e.shape),a=x.max(e,r),s=x.backend_util.expandShapeToKeepDim(a.shape,r),o=this.subtract(e,a.reshape(s)),l=this.exp(o),u=this.sum(l,r).reshape(s);return x.div(l,u)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e])){var i=SM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,O6,e.dtype);var r=new Re(e.shape,c6);return this.compileAndRun(r,[e])},t.prototype.log1p=function(e){var i=new Re(e.shape,h6);return this.compileAndRun(i,[e])},t.prototype.sqrt=function(e){var i=new Re(e.shape,d6);return this.compileAndRun(i,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var i=AM(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}var r=new Re(e.shape,p6);return this.compileAndRun(r,[e])},t.prototype.reciprocal=function(e){var i=new Re(e.shape,N6);return this.compileAndRun(i,[e])},t.prototype.relu=function(e){var i;return x.env().getBool("WEBGL_PACK")?i=new Is(e.shape,wL):i=new Re(e.shape,dL),this.compileAndRun(i,[e])},t.prototype.relu6=function(e){var i;return x.env().getBool("WEBGL_PACK")?i=new Is(e.shape,SL):i=new Re(e.shape,pL),this.compileAndRun(i,[e])},t.prototype.prelu=function(e,i){var r=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(DS,e.shape,i.shape):new wt(ES,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.elu=function(e){if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,LL,e.dtype);var i=new Re(e.shape,fL);return this.compileAndRun(i,[e])},t.prototype.eluDer=function(e,i){var r=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(k5,e.shape,i.shape):new wt(O5,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.selu=function(e){var i=new Re(e.shape,i6);return this.compileAndRun(i,[e])},t.prototype.int=function(e){var i=new Re(e.shape,C6);return this.compileAndRun(i,[e],"int32")},t.prototype.clip=function(e,i,r){var a;x.env().getBool("WEBGL_PACK_CLIP")?a=new Y5(e.shape):a=new G5(e.shape);var s=a.getCustomSetupFunc(i,r);return this.compileAndRun(a,[e],null,s)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e])&&e.dtype!=="complex64"){var i=mM(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,i)}if(x.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,hL,e.dtype);var r=new Re(e.shape,hL);return this.compileAndRun(r,[e])},t.prototype.complexAbs=function(e){var i=this.texData.get(e.dataId),r=new K5(e.shape),a=[this.makeComplexComponentTensorInfo(e,i.complexTensors.real),this.makeComplexComponentTensorInfo(e,i.complexTensors.imag)];return this.compileAndRun(r,a)},t.prototype.sigmoid=function(e){var i=new Re(e.shape,f6);return this.compileAndRun(i,[e])},t.prototype.softplus=function(e){var i=new Re(e.shape,m6);return this.compileAndRun(i,[e])},t.prototype.asin=function(e){var i=new Re(e.shape,g6);return this.compileAndRun(i,[e])},t.prototype.acos=function(e){var i=new Re(e.shape,v6);return this.compileAndRun(i,[e])},t.prototype.atan=function(e){var i=new Re(e.shape,y6);return this.compileAndRun(i,[e])},t.prototype.sinh=function(e){var i=new Re(e.shape,b6);return this.compileAndRun(i,[e])},t.prototype.cosh=function(e){var i=new Re(e.shape,w6);return this.compileAndRun(i,[e])},t.prototype.tanh=function(e){var i=new Re(e.shape,S6);return this.compileAndRun(i,[e])},t.prototype.asinh=function(e){var i=new Re(e.shape,L6);return this.compileAndRun(i,[e])},t.prototype.acosh=function(e){var i=new Re(e.shape,I6);return this.compileAndRun(i,[e])},t.prototype.atanh=function(e){var i=new Re(e.shape,A6);return this.compileAndRun(i,[e])},t.prototype.erf=function(e){var i=new Re(e.shape,T6);return this.compileAndRun(i,[e])},t.prototype.step=function(e,i){var r=new Re(e.shape,r6(i));return this.compileAndRun(r,[e])},t.prototype.conv2dByMatMul=function(e,i,r,a,s,o){var l=e.shape,u=this.texData.get(e.dataId),c=r.inChannels,h=l[0]*l[1]*l[2],d=r.outChannels,p=r.dataFormat==="channelsLast",f=!1,m=!1,g=(h===1||d===1)&&c>AL,v=l[2]%2!==0&&!!u.isPacked;if(g||!x.env().getBool("WEBGL_LAZILY_UNPACK")||!x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!v){var b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],w=x.reshape(e,[1,b,r.inChannels]),S=x.reshape(i,[1,r.inChannels,r.outChannels]),L=this.fusedBatchMatMul({a:w,b:S,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o});return x.reshape(L,r.outShape)}var N=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),C={dataId:e.dataId,shape:[1,N,r.inChannels],dtype:e.dtype},R=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,x.util.assert(ws(u.shape,C.shape),function(){return"packed reshape "+u.shape+" to "+C.shape+" isn't free"});var D=x.reshape(i,[1,r.inChannels,r.outChannels]),k=this.fusedBatchMatMul({a:C,b:D,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o}),W=this.texData.get(k.dataId);return x.util.assert(W.isPacked,function(){return"batchMatMul result is expected to be packed"}),u.shape=R,W.shape=r.outShape,x.engine().makeTensorFromDataId(k.dataId,r.outShape,k.dtype)},t.prototype.conv2dWithIm2Row=function(e,i,r,a,s,o){var l=r.filterWidth,u=r.filterHeight,c=r.inChannels,h=r.outWidth,d=r.outHeight,p=r.dataFormat,f=p==="channelsLast",m=l*u*c,g=d*h,v=[m,g],b=!0,w=!1,S=e.squeeze([0]),L=i.reshape([1,m,-1]),N=new S9(v,S.shape,r),C=this.compileAndRun(N,[S]).reshape([1,v[0],v[1]]),R=a!=null,D=o!=null,k=s?ul(s,!0):null,W=new vp(C.shape,[1,g,r.outChannels],b,w,R,k,D),F=[C,L];a&&F.push(a),D&&F.push(o);var P=this.compileAndRun(W,F);return f?P.reshape([1,d,h,r.outChannels]):P.reshape([1,r.outChannels,d,h])},t.prototype.fusedConv2d=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights;if(a.filterHeight===1&&a.filterWidth===1&&a.dilationHeight===1&&a.dilationWidth===1&&a.strideHeight===1&&a.strideWidth===1&&(a.padInfo.type==="SAME"||a.padInfo.type==="VALID"))return this.conv2dByMatMul(i,r,a,s,o,l);if(x.env().getBool("WEBGL_CONV_IM2COL")&&i.shape[0]===1)return this.conv2dWithIm2Row(i,r,a,s,o,l);var u=s!=null,c=l!=null,h=o?ul(o,!1):null,d=new kS(a,u,h,c),p=[i,r];return s&&p.push(s),l&&p.push(l),this.compileAndRun(d,p)},t.prototype.conv2d=function(e,i,r){if(r.filterHeight===1&&r.filterWidth===1&&r.dilationHeight===1&&r.dilationWidth===1&&r.strideHeight===1&&r.strideWidth===1&&(r.padInfo.type==="SAME"||r.padInfo.type==="VALID"))return this.conv2dByMatMul(e,i,r);if(x.env().getBool("WEBGL_CONV_IM2COL")&&e.shape[0]===1)return this.conv2dWithIm2Row(e,i,r);var a=new kS(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerInput=function(e,i,r){var a=new J5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerFilter=function(e,i,r){var a=new X5(r);return this.compileAndRun(a,[e,i])},t.prototype.fusedDepthwiseConv2D=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=x.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels===1,c=o?ul(o,u):null,h=[i,r],d=s!=null,p=l!=null;d&&h.push(s),p&&h.push(l);var f;return u?(f=new WS(a,d,c,p),this.compileAndRun(f,h)):(f=new FS(a,d,c,p),this.compileAndRun(f,h))},t.prototype.depthwiseConv2D=function(e,i,r){var a;return x.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&r.strideWidth<=2&&r.outChannels/r.inChannels===1?(a=new WS(r),this.compileAndRun(a,[e,i])):(a=new FS(r),this.compileAndRun(a,[e,i]))},t.prototype.depthwiseConv2DDerInput=function(e,i,r){var a=new t9(r);return this.compileAndRun(a,[e,i])},t.prototype.depthwiseConv2DDerFilter=function(e,i,r){var a=new e9(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3d=function(e,i,r){var a=new n9(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerInput=function(e,i,r){var a=new Q5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerFilter=function(e,i,r){var a=new Z5(r);return this.compileAndRun(a,[e,i])},t.prototype.cast=function(e,i){return x.backend_util.castTensor(e,i,this)},t.prototype.unstack=function(e,i){for(var r=e.shape[i],a=new Array(e.rank-1),s=0,o=0;o<e.rank;o++)o!==i&&(a[s++]=e.shape[o]);var l=new Array(e.rank).fill(0),u=e.shape.slice();u[i]=1;for(var c=new Array(r),o=0;o<c.length;o++)l[i]=o,c[o]=this.slice(e,l,u).reshape(a);return c},t.prototype.avgPool3d=function(e,i){var r=new yp(i,"avg",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,i,r){var a=new g5(r);return this.compileAndRun(a,[e],i.dtype)},t.prototype.maxPool3d=function(e,i){var r=new yp(i,"max",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,i,r,a){var s=!0,o=new yp(a,"max",s),l=this.compileAndRun(o,[i]),u=new N9(a),c=this.compileAndRun(u,[e,l],i.dtype);return l.dispose(),c},t.prototype.resizeBilinear=function(e,i,r,a){var s=x.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new P9(e.shape,i,r,a):new z9(e.shape,i,r,a);return this.compileAndRun(s,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,i,r){var a=new B9(e,i,r);return this.compileAndRun(a,[e])},t.prototype.resizeNearestNeighbor=function(e,i,r,a){var s=new M9(e.shape,i,r,a);return this.compileAndRun(s,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,i,r){var a=new _9(e,i,r);return this.compileAndRun(a,[e])},t.prototype.multinomial=function(e,i,r,a){var s=i?e:x.softmax(e),o=s.shape[0],l=s.shape[1],u=new x9(o,l,r),c=u.getCustomSetupFunc(a);return this.compileAndRun(u,[s],"int32",c)},t.prototype.oneHot=function(e,i,r,a){var s=new C9(e.size,i,r,a);return this.compileAndRun(s,[e])},t.prototype.diag=function(e){var i=new o9(e.size);return this.compileAndRun(i,[e])},t.prototype.cropAndResize=function(e,i,r,a,s,o){var l=new i9(e.shape,i.shape,a,s,o);return this.compileAndRun(l,[e,i,r],"float32")},t.prototype.depthToSpace=function(e,i,r){x.util.assert(i>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+i});var a=e.shape[0],s=r==="NHWC"?e.shape[1]:e.shape[2],o=r==="NHWC"?e.shape[2]:e.shape[3],l=r==="NHWC"?e.shape[3]:e.shape[1],u=s*i,c=o*i,h=l/(i*i),d=r==="NHWC"?[a,u,c,h]:[a,h,u,c],p=new s9(d,i,r);return this.compileAndRun(p,[e])},t.prototype.split=function(e,i,r){return D6(e,i,r)},t.prototype.scatterND=function(e,i,r){var a=x.backend_util.calculateShapes(i,e,r),s=a.sliceRank,o=a.numUpdates,l=a.sliceSize,u=a.strides,c=a.outputSize,h=[c/l,l],d=e.reshape([o,s]),p=i.reshape([o,l]);if(c===0)return x.backend_util.reshapeTensor(x.tensor([]),r);var f=x.scalar(0),m=new oL(o,s,d.rank,p.rank,u,h),g=this.compileAndRun(m,[p,d,f]);return g.reshape(r)},t.prototype.sparseToDense=function(e,i,r,a){var s=x.backend_util.calculateShapes(i,e,r),o=s.sliceRank,l=s.numUpdates,u=s.strides,c=s.outputSize,h=!1,d=new oL(l,o,e.rank,i.rank,u,[c,1],h),p=this.compileAndRun(d,[i,e,a]);return p.reshape(r)},t.prototype.fft=function(e){var i=!1;return this.fftImpl(e,i)},t.prototype.ifft=function(e){var i=!0;return this.fftImpl(e,i)},t.prototype.fftImpl=function(e,i){var r=this.texData.get(e.dataId),a=new _S(PS.REAL,e.shape,i),s=new _S(PS.IMAG,e.shape,i),o=[this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],l=this.compileAndRun(a,o),u=this.compileAndRun(s,o),c=this.complex(l,u).as2D(e.shape[0],e.shape[1]);return l.dispose(),u.dispose(),c},t.prototype.gatherND=function(e,i){var r=i.shape,a=r[r.length-1],s=x.backend_util.prepareAndValidate(e,i),o=s[0],l=s[1],u=s[2],c=s[3],h=i.reshape([l,a]),d=e.reshape([e.size/u,u]),p=new m9(a,c,[l,u]),f=this.compileAndRun(p,[d,h]);return f.reshape(o)},t.prototype.fill=function(e,i,r){if(r=r||x.util.inferDtype(i),r==="string"){var a=x.util.getArrayFromDType(r,x.util.sizeFromShape(e));return a.fill(i),x.engine().makeTensor(a,e,r,this)}else{var s=new d9(e,i),o=s.getCustomSetupFunc(i);return this.compileAndRun(s,[],r,o)}},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){return this.fill(e.shape,e.dtype==="string"?"":0,e.dtype)},t.prototype.linspace=function(e,i,r){return x.backend_util.linspaceImpl(e,i,r)},t.prototype.makeTensorInfo=function(e,i,r){var a=this.write(r,e,i);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:i}},t.prototype.makeOutput=function(e,i,r){var a=this.makeTensorInfo(e,i,r).dataId;return x.engine().makeTensorFromDataId(a,e,i,this)},t.prototype.unpackTensor=function(e){var i=new E6(e.shape);return this.runWebGLProgram(i,[e],e.dtype)},t.prototype.packTensor=function(e){var i=new D9(e.shape),r=!0;return this.runWebGLProgram(i,[e],e.dtype,null,r)},t.prototype.packedReshape=function(e,i){var r=[yr(e.shape)].concat(br(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[yr(i)].concat(br(i)),o=new sL(s,r),l=!0,u=this.runWebGLProgram(o,[a],e.dtype,null,l);return{dataId:u.dataId,shape:i,dtype:u.dtype}},t.prototype.decode=function(e){var i=this.texData.get(e),r=i.isPacked,a=i.shape,s=i.dtype,o=tl(a),l;r?l=new a9(o):l=new r9(o);var u=!0,c=this.runWebGLProgram(l,[{shape:o,dtype:s,dataId:e}],s,null,u);return{dtype:s,shape:a,dataId:c.dataId}},t.prototype.runWebGLProgram=function(e,i,r,a,s){var o=this;s===void 0&&(s=!1);var l=this.makeTensorInfo(e.outputShape,r),u=this.texData.get(l.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===ms.DENSE){var c=vs(e.outputShape);u.texShape=c.map(function(w){return w*2})}if(e.outTexUsage!=null&&(u.usage=e.outTexUsage),x.util.sizeFromShape(l.shape)===0)return u.values=x.util.getTypedArrayFromDType(l.dtype,0),l;var h=[],d=i.map(function(w){if(w.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var S=o.texData.get(w.dataId);if(S.texture==null){if(!e.packedInputs&&x.util.sizeFromShape(w.shape)<=x.env().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:w.shape,texData:null,isUniform:!0,uniformValues:S.values};e.packedInputs&&(S.isPacked=!0,S.shape=w.shape)}else if(!!S.isPacked!==!!e.packedInputs)w=S.isPacked?o.unpackTensor(w):o.packTensor(w),h.push(w),S=o.texData.get(w.dataId);else if(S.isPacked&&!ws(S.shape,w.shape)){var L=w,N=w.shape;w.shape=S.shape,w=o.packedReshape(w,N),h.push(w),S=o.texData.get(w.dataId),L.shape=N}return o.uploadToGPU(w.dataId),{shape:w.shape,texData:S,isUniform:!1}});this.uploadToGPU(l.dataId);var p={shape:l.shape,texData:u,isUniform:!1},f=w9(e,d,p),m=this.getAndSaveBinary(f,function(){return y9(o.gpgpu,e,d,p)}),g=this.activeTimers!=null,v;if(g&&(v=this.startTimer()),b9(this.gpgpu,m,d,p,a),h.forEach(function(w){return o.disposeIntermediateTensorInfo(w)}),g&&(v=this.endTimer(v),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(v)})),!x.env().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&s===!1){var b=this.unpackTensor(l);return this.disposeIntermediateTensorInfo(l),b}return l},t.prototype.compileAndRun=function(e,i,r,a,s){s===void 0&&(s=!1),r=r||i[0].dtype;var o=this.runWebGLProgram(e,i,r,a,s);return x.engine().makeTensorFromDataId(o.dataId,o.shape,o.dtype)},t.prototype.getAndSaveBinary=function(e,i){return e in this.binaryCache||(this.binaryCache[e]=i()),this.binaryCache[e]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){var e=this;if(this.disposed)return;if(!x.env().getBool("IS_TEST")){var i=Object.keys(this.binaryCache);i.forEach(function(r){e.gpgpu.deleteProgram(e.binaryCache[r].webGLProgram),delete e.binaryCache[r]})}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},t.prototype.floatPrecision=function(){var e=this;return this.floatPrecisionValue==null&&(this.floatPrecisionValue=x.tidy(function(){if(!x.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var i=x.env().getBool("DEBUG");x.env().set("DEBUG",!1);var r=e.abs(x.scalar(1e-8)).dataSync()[0];if(x.env().set("DEBUG",i),r>0)return 32}return 16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return this.floatPrecision()===32?U6:B6},t.prototype.uploadToGPU=function(e){var i,r=this.texData.get(e),a=r.shape,s=r.dtype,o=r.values,l=r.texture,u=r.usage,c=r.isPacked;if(l!=null)return;var h=this.activeTimers!=null,d;h&&(d=x.util.now());var p=r.texShape;if(p==null&&(p=fS(a,c),r.texShape=p),o!=null){var f=tl(a),m=void 0,g=p[1],v=p[0],b=o instanceof Uint8Array;c?(i=ha(p[0],p[1]),g=i[0],v=i[1],m=new h9(f,[v,g],b)):m=new c9(f,[v,g],b);var w=this.makeTensorInfo([v,g],s);b?this.texData.get(w.dataId).usage=an.PIXELS:this.texData.get(w.dataId).usage=an.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(w.dataId),g,v,o);var S=!0,L=this.runWebGLProgram(m,[w],s,null,S),N=this.texData.get(L.dataId);r.texture=N.texture,r.texShape=N.texShape,r.isPacked=N.isPacked,r.usage=N.usage,this.disposeIntermediateTensorInfo(w),this.texData.delete(L.dataId),r.values=null,h&&(this.uploadWaitMs+=x.util.now()-d)}else{var C=this.acquireTexture(p,u,s,c);r.texture=C}},t.prototype.convertAndCacheOnCPU=function(e,i){var r=this.texData.get(e),a=r.dtype;return this.releaseGPUData(e),i!=null&&(r.values=H6(i,a)),r.values},t.prototype.acquireTexture=function(e,i,r,a){if(this.numBytesInGPU+=this.computeBytes(e,r),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){var s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+s+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,i,a)},t.prototype.computeBytes=function(e,i){return e[0]*e[1]*x.util.bytesPerElement(i)},t.prototype.tryRunOnCpuOrThrow=function(e,i){if(this.shouldExecuteOnCPU(e))try{return i()}catch(r){if(x.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(x.KernelBackend);function H6(n,t){if(t==="float32"||t==="complex64")return n;if(t==="int32"||t==="bool"){for(var e=t==="int32"?new Int32Array(n.length):new Uint8Array(n.length),i=0;i<e.length;++i)e[i]=Math.round(n[i]);return e}else throw new Error("Unknown dtype "+t)}var V6="2.6.0";function NL(){x.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}x.device_util.isBrowser()&&x.registerBackend("webgl",function(){return new TL},2);var q6={forceHalfFloat:NL},xL="if (isnan(x)) return x;",G6=`
  if (isnan(a)) return a;
  if (isnan(b)) return b;
`,Y6=`
  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 cl(n){return function(t){var e=t.inputs,i=t.backend,r=e.x,a=i,s=new Re(r.shape,n);return a.runWebGLProgram(s,[r],r.dtype)}}function wp(n,t,e,i){return function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s,h=x.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ki(t,l.shape,u.shape,!!e):new wt(n,l.shape,u.shape),d=i||l.dtype,p=c.runWebGLProgram(h,[l,u],d);return p}}var K6=G6+`
  return atan(a, b);
`,j6=`
  vec4 result = atan(a, b);
  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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  return result;
`,$6=wp(K6,j6),X6={kernelName:x.Atan2,backendName:"webgl",kernelFunc:$6};function Sp(n){var t=n.inputs,e=n.backend,i=t.x;return e.incRef(i.dataId),{dataId:i.dataId,shape:i.shape,dtype:i.dtype}}var J6={kernelName:x.Identity,backendName:"webgl",kernelFunc:Sp};function Z6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;da(r,"avgPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;x.util.assert(x.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=x.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&x.util.arraysEqual(c.inShape,c.outShape))return Sp({inputs:{x:r},backend:e});var h=new Ls(c,"avg",!1);return e.runWebGLProgram(h,[r],"float32")}var Q6={kernelName:x.AvgPool,backendName:"webgl",kernelFunc:Z6};function e8(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=a;da([r,a],"avgPoolBackprop");var o=i.filterSize,l=i.strides,u=i.pad,c=x.backend_util.computePool2DInfo(s.shape,o,l,1,u),h=new m5(c);return e.runWebGLProgram(h,[r],s.dtype)}var t8={kernelName:x.AvgPoolBackprop,backendName:"webgl",kernelFunc:e8};var n8=function(){function n(t,e,i,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],x.backend_util.assertAndGetBroadcastShape(t,e),x.backend_util.assertAndGetBroadcastShape(t,i);var o="0.0";r!=null&&(x.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="1.0";a!=null&&(x.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
      void main() {
        float x = getXAtOutCoords();
        float mean = getMeanAtOutCoords();
        float variance = getVarianceAtOutCoords();
        float offset = `+o+`;
        float scale = `+l+`;
        float inv = scale * inversesqrt(variance + float(`+s+`));
        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
      }
    `}return n}();var i8=function(){function n(t,e,i,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],x.backend_util.assertAndGetBroadcastShape(t,e),x.backend_util.assertAndGetBroadcastShape(t,i);var o="vec4(0.0)";r!=null&&(x.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="vec4(1.0)";a!=null&&(x.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
      void main() {
        vec4 offset = `+o+`;
        vec4 scale = `+l+`;

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

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

        setOutput((x - mean) * inv + offset);
      }
    `}return n}();var r8=function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=t.mean,s=t.variance,o=t.offset,l=t.scale;x.util.assert(a.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),x.util.assert(o==null||a.shape.length===o.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),x.util.assert(l==null||a.shape.length===l.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var u=i.varianceEpsilon;u==null&&(u=.001);var c=[r,a,s],h=null;o!=null&&(h=o.shape,c.push(o));var d=null;l!=null&&(d=l.shape,c.push(l));var p=x.env().getBool("WEBGL_PACK_NORMALIZATION")?new i8(r.shape,a.shape,s.shape,h,d,u):new n8(r.shape,a.shape,s.shape,h,d,u),f=e.runWebGLProgram(p,c,c[0].dtype);return f},a8={kernelName:x.FusedBatchNorm,backendName:"webgl",kernelFunc:r8};var s8=xL+`
  return cos(x);
`,o8=cl(s8),l8={kernelName:x.Cos,backendName:"webgl",kernelFunc:o8};var u8=`
if (a == b) {
  return 1.0;
};
return a / b;`,c8=`
  // 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;
`,h8=wp(u8,c8,!0),d8={kernelName:x.Div,backendName:"webgl",kernelFunc:h8};var p8=function(){function n(t){this.variableNames=["Image"],this.outputShape=[];var e=t[2];this.outputShape=t,this.userCode=`
        void main() {
          ivec4 coords = getOutputCoords();
          int x = coords[2];

          int coordX = `+e+` - x;
          float outputValue;
          if(coordX >= 0 && coordX < `+e+`) {
            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
          } else {
            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
          }
          setOutput(outputValue);
        }
    `}return n}();var f8={kernelName:x.FlipLeftRight,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=t.image,r=e,a=new p8(i.shape),s=r.runWebGLProgram(a,[i],i.dtype);return s}};var m8=function(){function n(t){this.variableNames=["A"];var e=Wt(),i=t[0],r=t[1];this.outputShape=t,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(`+r+".0, "+i+`.0);

        vec4 values = `+e.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 n}();var g8=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Wt(),i=t[0],r=t[1];this.outputShape=t,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(`+r+".0, "+i+`.0);
            vec4 values = `+e.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);
          }
        }

        `+e.output+` = result;
      }
    `}return n}();var y8={kernelName:x.FromPixels,backendName:"webgl",kernelFunc:v8},ya;function v8(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.pixels,a=i.numChannels,s=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,l=s?[r.videoWidth,r.videoHeight]:[r.width,r.height],u=l[0],c=l[1],h=[c,u],d=[c,u,a];(o||s)&&(ya==null&&(ya=document.createElement("canvas").getContext("2d")),ya.canvas.width=u,ya.canvas.height=c,ya.drawImage(r,0,0,u,c),r=ya.canvas);var p=e.makeTensorInfo(h,"int32");e.texData.get(p.dataId).usage=an.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(p.dataId),r);var f=x.env().getBool("WEBGL_PACK")?new g8(d):new m8(d),m=e.runWebGLProgram(f,[p],"int32");return e.disposeData(p.dataId),m}function b8(n){for(var t=[];t.length===0||t[t.length-1].outSize!==1;){var e=t.length?t[t.length-1].outSize:n[1],i=x.backend_util.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:i,outSize:Math.ceil(e/i)})}return t}function w8(n,t,e,i){for(var r=b8(n.shape),a=n,s=0;s<r.length;s++){var o=r[s],l=o.inSize,u=o.windowSize,c=o.outSize,h=new aL({windowSize:u,inSize:l,batchSize:n.shape[0],outSize:c},e),d=a;a=i.runWebGLProgram(h,[a],t),d.dataId!==n.dataId&&i.disposeData(d.dataId)}return a}function S8(n,t,e){var i=[yr(n.shape)].concat(br(n.shape)),r={dtype:n.dtype,shape:i,dataId:n.dataId},a=[yr(t)].concat(br(t)),s=new sL(a,i),o=!0,l=e.runWebGLProgram(s,[r],n.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function Lp(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.shape,s=e,o=x.util.sizeFromShape(r.shape),l=x.util.inferFromImplicitShape(a,o),u=x.util.sizeFromShape(l);x.util.assert(o===u,function(){return"The new shape ("+l+") has "+u+" elements and the old "+("shape ("+r.shape+") has "+o+" elements. The new shape and old ")+"shape must have the same number of elements."});var c=s.texData.get(r.dataId);return c.isPacked&&!ws(r.shape,l)&&!(c.texture!==null&&ws(c.shape,l))?S8(r,l,s):(s.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var L8={kernelName:x.Reshape,backendName:"webgl",kernelFunc:Lp};function I8(n,t,e,i){var r=x.util.sizeFromShape(t),a=x.util.sizeFromShape(n.shape),s=a/r,o=Lp({inputs:{x:n},attrs:{shape:[s,r]},backend:i}),l=w8(o,n.dtype,"max",i),u=Lp({inputs:{x:l},attrs:{shape:e},backend:i});return i.disposeIntermediateTensorInfo(o),i.disposeIntermediateTensorInfo(l),u}var T8=function(){function n(t,e){this.variableNames=["A"];for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[e[r]];this.outputShape=i,this.rank=i.length;var a=Je(this.rank),s=A8(e);this.userCode=`
    void main() {
      `+a+` resRC = getOutputCoords();
      setOutput(getA(`+s+`));
    }
    `}return n}();function A8(n){var t=n.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],i=new Array(t),r=0;r<n.length;r++)i[n[r]]=e[r];return i.join()}var N8=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[e[r]];if(this.outputShape=i,this.rank=i.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=Je(this.rank),s=LS("rc",this.rank),o=new Array(this.rank),r=0;r<e.length;r++)o[e[r]]=s[r];var l="vec2("+o.slice(-2).join()+")",u="++"+s[this.rank-1]+" < "+i[this.rank-1],c="getChannel(getA("+o.join()+"), "+l+")";this.userCode=`
    void main() {
      `+a+` rc = getOutputCoords();
      vec4 result = vec4(0.);
      result[0] = `+c+`;
      if(`+u+`) {
        result[1] = `+c+`;
      }
      --`+s[this.rank-1]+`;
      if(++`+s[this.rank-2]+" < "+i[this.rank-2]+`) {
        result[2] = `+c+`;
        if(`+u+`) {
          result[3] = `+c+`;
        }
      }
      setOutput(result);
    }
    `}return n}();function CL(n,t,e){var i=x.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new N8(n.shape,t):new T8(n.shape,t);return e.runWebGLProgram(i,[n],n.dtype)}var x8={kernelName:x.Max,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.reductionIndices,o=a.keepDims,l=i,u=r.shape.length,c=x.util.parseAxisParam(s,r.shape),h=c,d=x.backend_util.getAxesPermutation(h,u),p=d!=null,f=l.shouldExecuteOnCPU([r]),m=r;if(p){if(f){for(var g=l.texData.get(m.dataId),v=g.values,b=new Array(u),w=0;w<b.length;w++)b[w]=r.shape[d[w]];var S=SS(v,r.shape,r.dtype,d,b);m=l.makeTensorInfo(b,r.dtype);var L=l.texData.get(m.dataId);L.values=S}else m=CL(r,d,l);h=x.backend_util.getInnerMostAxes(h.length,u)}x.backend_util.assertAxesAreInnerMostDims("max",h,u);var N=x.backend_util.computeOutAndReduceShapes(m.shape,h),C=N[0],R=N[1],D=C;o&&(D=x.backend_util.expandShapeToKeepDim(C,c));var k;if(f){var g=l.texData.get(m.dataId),v=g.values,W=LM(v,x.util.sizeFromShape(R),D,r.dtype);k=l.makeTensorInfo(D,r.dtype);var F=l.texData.get(k.dataId);F.values=W}else k=I8(m,R,D,l);return p&&l.disposeIntermediateTensorInfo(m),k}};function C8(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;da(r,"maxPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;x.util.assert(x.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=x.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&x.util.arraysEqual(c.inShape,c.outShape))return Sp({inputs:{x:r},backend:e});var h=new Ls(c,"max",!1);return e.runWebGLProgram(h,[r],r.dtype)}var R8={kernelName:x.MaxPool,backendName:"webgl",kernelFunc:C8};function O8(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=t.output,o=a;da([a,s],"maxPoolBackprop");var l=i.filterSize,u=i.strides,c=i.pad,h=i.dimRoundingMode,d=x.backend_util.computePool2DInfo(o.shape,l,u,1,c,h),p=!0,f=new Ls(d,"max",p),m=e.runWebGLProgram(f,[o],o.dtype),g=new T9(d),v=e.runWebGLProgram(g,[r,m],o.dtype);return e.disposeIntermediateTensorInfo(m),v}var E8={kernelName:x.MaxPoolBackprop,backendName:"webgl",kernelFunc:O8};function D8(n,t,e,i){var r=new Ls(e,"max",!1),a=i.runWebGLProgram(r,[n],"float32");r=new Ls(e,"max",!0,!0,t);var s=i.runWebGLProgram(r,[n],"float32");return[a,s]}var k8={kernelName:x.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.filterSize,o=a.strides,l=a.pad,u=a.includeBatchInIndex,c=i;x.util.assert(r.shape.length===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+r.shape.length+"."});var h=[1,1];x.util.assert(x.backend_util.eitherStridesOrDilationsAreOne(o,h),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+o+" and dilations '"+h+"'")});var d=x.backend_util.computePool2DInfo(r.shape,s,o,h,l),p=D8(r,u,d,c),f=p[0],m=p[1];return[f,m]}};var F8={kernelName:x.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;x.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=e,d=h.readSync(a.dataId),p=h.readSync(s.dataId),f=l,m=u,g=c;return x.kernel_impls.nonMaxSuppressionV3Impl(d,p,f,m,g)}};var W8=x.kernel_impls.nonMaxSuppressionV4Impl,U8={kernelName:x.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;x.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.padToMaxOutputSize,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=W8(p,f,l,u,c,h),g=m.selectedIndices,v=m.validOutputs;return[g,v]}};var B8=x.kernel_impls.nonMaxSuppressionV5Impl,z8={kernelName:x.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;x.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.softNmsSigma,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=l,g=u,v=c,b=h,w=B8(p,f,m,g,v,b),S=w.selectedIndices,L=w.selectedScores;return[S,L]}};var P8=function(){function n(t,e,i,r){this.variableNames=["Image"],this.outputShape=[];var a=t[1],s=t[2],o=Math.sin(e).toFixed(3),l=Math.cos(e).toFixed(3);this.outputShape=t;var u=x.backend_util.getImageCenter(r,a,s),c=u[0],h=u[1],d=c.toFixed(3),p=h.toFixed(3),f="";typeof i=="number"?f="float outputValue = "+i.toFixed(2)+";":f=`
        vec3 fill = vec3(`+i.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) - `+d+") * "+l+" - (float(y) - "+p+") * "+o+`;
          float coordYFloat = (float(x) - `+d+") * "+o+" + (float(y) - "+p+") * "+l+`;
          int coordX = int(round(coordXFloat + `+d+`));
          int coordY = int(round(coordYFloat + `+p+`));
          `+f+`
          if(coordX >= 0 && coordX < `+s+" && coordY >= 0 && coordY < "+a+`) {
            outputValue = getImage(coords[0], coordY, coordX, coords[3]);
          }
          setOutput(outputValue);
        }
    `}return n}();var _8={kernelName:x.RotateWithOffset,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.image,a=e,s=a.radians,o=a.fillValue,l=a.center,u=i,c=new P8(r.shape,s,o,l),h=u.runWebGLProgram(c,[r],r.dtype);return h}};var M8=xL+`
  return sin(x);
`,H8=cl(M8),V8={kernelName:x.Sin,backendName:"webgl",kernelFunc:H8};var q8="return x * x;",G8=cl(q8),Y8={kernelName:x.Square,backendName:"webgl",kernelFunc:G8};var RL="return (a - b) * (a - b);",K8=wp(RL,RL),j8={kernelName:x.SquaredDifference,backendName:"webgl",kernelFunc:K8};var $8="return tan(x);",X8=cl($8),J8={kernelName:x.Tan,backendName:"webgl",kernelFunc:X8};var Z8={kernelName:x.Transpose,backendName:"webgl",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e.perm,s=i,o=r.shape.length,l=new Array(o),u=0;u<l.length;u++)l[u]=r.shape[a[u]];var c;if(s.shouldExecuteOnCPU([r])){var h=s.texData.get(r.dataId),d=h.values,p=SS(d,r.shape,r.dtype,a,l);c=s.makeTensorInfo(l,r.dtype);var f=s.texData.get(c.dataId);f.values=p}else c=CL(r,a,s);return c}};function Q8(n){var t=n.inputs,e=n.attrs,i=n.backend,r=e.axis,a=t.x;da(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var s=i.readSync(a.dataId),o=xM(s,r,a.shape,a.dtype),l=o.outputValues,u=o.outputShape,c=o.indices;return[i.makeTensorInfo(u,a.dtype,l),i.makeTensorInfo([c.length],"int32",c)]}var e7={kernelName:x.Unique,backendName:"webgl",kernelFunc:Q8};var t7=[X6,Q6,t8,a8,l8,d8,f8,y8,J6,x8,R8,E8,k8,F8,U8,z8,L8,_8,V8,Y8,j8,J8,Z8,e7];for(var Ip=0,OL=t7;Ip<OL.length;Ip++){var n7=OL[Ip];x.registerKernel(n7)}Mn.GPGPUContext=iL;Mn.MathBackendWebGL=TL;Mn.forceHalfFloat=NL;Mn.gpgpu_util=g9;Mn.setWebGLContext=X0;Mn.version_webgl=V6;Mn.webgl=q6;Mn.webgl_util=eM});var Ut=Ae(Lr=>{"use strict";Object.defineProperty(Lr,"__esModule",{value:!0});var Ap=rr(),Tp=xw(),Np=Hw(),DL=l0(),i7=$0(),r7=EL();var a7="2.6.0";var s7={"tfjs-core":Ap.version_core,"tfjs-backend-cpu":i7.version_cpu,"tfjs-backend-webgl":r7.version_webgl,"tfjs-data":DL.version_data,"tfjs-layers":Tp.version_layers,"tfjs-converter":Np.version_converter,tfjs:a7};Object.keys(Ap).forEach(function(n){n!=="default"&&Object.defineProperty(Lr,n,{enumerable:!0,get:function(){return Ap[n]}})});Object.keys(Tp).forEach(function(n){n!=="default"&&Object.defineProperty(Lr,n,{enumerable:!0,get:function(){return Tp[n]}})});Object.keys(Np).forEach(function(n){n!=="default"&&Object.defineProperty(Lr,n,{enumerable:!0,get:function(){return Np[n]}})});Lr.data=DL;Lr.version=s7});var zL=Ae(hl=>{const Be=Ut(),o7={strides:[8,16],anchors:[2,6]},kL=6;function l7(n,t,e){const i=[];for(let r=0;r<e.strides.length;r++){const a=e.strides[r],s=Math.floor((t+a-1)/a),o=Math.floor((n+a-1)/a),l=e.anchors[r];for(let u=0;u<s;u++){const c=a*(u+.5);for(let h=0;h<o;h++){const d=a*(h+.5);for(let p=0;p<l;p++)i.push([d,c])}}}return i}const FL=n=>{n.startEndTensor.dispose(),n.startPoint.dispose(),n.endPoint.dispose()},WL=n=>({startEndTensor:n,startPoint:Be.slice(n,[0,0],[-1,2]),endPoint:Be.slice(n,[0,2],[-1,2])}),u7=(n,t)=>{const e=Be.mul(n.startPoint,t),i=Be.mul(n.endPoint,t),r=Be.concat2d([e,i],1);return WL(r)};function c7(n,t,e){const i=Be.slice(n,[0,1],[-1,2]),r=Be.add(i,t),a=Be.slice(n,[0,3],[-1,2]),s=Be.div(a,e),o=Be.div(r,e),l=Be.div(s,2),u=Be.sub(o,l),c=Be.add(o,l),h=Be.mul(u,e),d=Be.mul(c,e),p=1;return Be.concat2d([h,d],p)}function UL(n,t){return Be.tidy(()=>{const e=n.box?n.box:n;return u7(e,t).startEndTensor.squeeze()})}class BL{constructor(n,t){this.blazeFaceModel=n,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=l7(t.detector.inputSize,t.detector.inputSize,o7),this.anchors=Be.tensor2d(this.anchorsData),this.inputSizeData=[t.detector.inputSize,t.detector.inputSize],this.inputSize=Be.tensor1d([t.detector.inputSize,t.detector.inputSize]),this.iouThreshold=t.detector.iouThreshold,this.scoreThreshold=t.detector.scoreThreshold}async getBoundingBoxes(n){const[t,e,i]=Be.tidy(()=>{const l=n.resizeBilinear([this.width,this.height]),u=Be.mul(Be.sub(l.div(255),.5),2),c=this.blazeFaceModel.predict(u),h=c.squeeze(),d=c7(h,this.anchors,this.inputSize),p=Be.slice(h,[0,0],[-1,1]),f=Be.sigmoid(p).squeeze();return[h,d,f]}),r=await Be.image.nonMaxSuppressionAsync(e,i,this.maxFaces,this.iouThreshold,this.scoreThreshold),a=await r.array();r.dispose();let s=a.map(l=>Be.slice(e,[l,0],[1,-1]));s=await Promise.all(s.map(async l=>{const u=await l.array();return l.dispose(),u}));const o=[];for(let l=0;l<s.length;l++){const u=s[l],c=Be.tidy(()=>{const h=WL(u),d=a[l],p=this.anchorsData[d],f=Be.slice(t,[d,kL-1],[1,-1]).squeeze().reshape([kL,-1]),m=Be.slice(i,[d],[1]);return{box:h,landmarks:f,probability:m,anchor:p}});o.push(c)}return e.dispose(),i.dispose(),t.dispose(),{boxes:o,scaleFactor:[n.shape[2]/this.inputSizeData[0],n.shape[1]/this.inputSizeData[1]]}}async estimateFaces(n,t=!1,e=!0){const i=Be.tidy(()=>(n instanceof Be.Tensor||(n=Be.browser.fromPixels(n)),n.toFloat().expandDims(0))),{boxes:r,scaleFactor:a}=await this.getBoundingBoxes(i);return i.dispose(),t?r.map(s=>{const o=UL(s,a),l={topLeft:o.slice([0],[2]),bottomRight:o.slice([2],[2])};if(e){const{landmarks:u,probability:c,anchor:h}=s,d=u.add(h).mul(a);l.landmarks=d,l.probability=c}return l}):Promise.all(r.map(async s=>{const o=UL(s,a);let l;if(e){const[u,c,h]=await Promise.all([s.landmarks,o,s.probability].map(async g=>g.array())),d=s.anchor,[p,f]=a,m=u.map(g=>[(g[0]+d[0])*p,(g[1]+d[1])*f]);l={topLeft:c.slice(0,2),bottomRight:c.slice(2),landmarks:m,probability:h},FL(s.box),s.landmarks.dispose(),s.probability.dispose()}else{const u=await o.array();l={topLeft:u.slice(0,2),bottomRight:u.slice(2)}}return o.dispose(),l}))}}async function h7(n){const t=await Be.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),e=new BL(t,n);return e}hl.load=h7;hl.BlazeFaceModel=BL;hl.disposeBox=FL});var Cp=Ae(xp=>{xp.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]};xp.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]}]});var PL=Ae(Ir=>{const d7=Ut();function p7(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],i=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]];return{startPoint:e,endPoint:i}}Ir.scaleBoxCoordinates=p7;function Rp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}Ir.getBoxSize=Rp;function Op(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}Ir.getBoxCenter=Op;function f7(n,t,e){const i=t.shape[1],r=t.shape[2],a=[[n.startPoint[1]/i,n.startPoint[0]/r,n.endPoint[1]/i,n.endPoint[0]/r]];return d7.image.cropAndResize(t,a,[0],e)}Ir.cutBoxFromImageAndResize=f7;function m7(n,t=1.5){const e=Op(n),i=Rp(n),r=[t*i[0]/2,t*i[1]/2],a=[e[0]-r[0],e[1]-r[1]],s=[e[0]+r[0],e[1]+r[1]];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}Ir.enlargeBox=m7;function g7(n){const t=Op(n),e=Rp(n),i=Math.max(...e),r=i/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}Ir.squarifyBox=g7});var qL=Ae(Nn=>{Nn.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function _L(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}Nn.normalizeRadians=_L;function v7(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return _L(e)}Nn.computeRotation=v7;function y7(n){return n*180/Math.PI}Nn.radToDegrees=y7;function ML(n,t){return[[1,0,n],[0,1,t],[0,0,1]]}function ba(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}Nn.dot=ba;function HL(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}Nn.getColumnFrom2DArr=HL;function VL(n,t){const e=[],i=n.length;for(let r=0;r<i;r++){e.push([]);for(let a=0;a<i;a++)e[r].push(ba(n[r],HL(t,a)))}return e}function b7(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=ML(t[0],t[1]),s=VL(a,r),o=ML(-t[0],-t[1]);return VL(s,o)}Nn.buildRotationMatrix=b7;function w7(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-ba(t[0],e),-ba(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}Nn.invertTransformMatrix=w7;function S7(n,t){return[ba(n,t[0]),ba(n,t[1])]}Nn.rotatePoint=S7;function L7(n,t){return Math.sqrt((n[0]-t[0])**2+(n[1]-t[1])**2)}Nn.xyDistanceBetweenPoints=L7});var YL=Ae(GL=>{const Fi=Ut(),Vn=PL(),Wi=Cp(),Ui=qL(),I7=468,A7=.25,T7=13,N7=[T7,Wi.MESH_ANNOTATIONS.midwayBetweenEyes[0]],x7=3,C7=2,R7=[x7,C7],Ep=Wi.MESH_ANNOTATIONS.leftEyeLower0,Dp=[Ep[0],Ep[Ep.length-1]],kp=Wi.MESH_ANNOTATIONS.rightEyeLower0,Fp=[kp[0],kp[kp.length-1]],O7=3,E7=4,D7=71,Wp=76;function dl(n,t,e,i){for(let r=0;r<Wi.MESH_TO_IRIS_INDICES_MAP.length;r++){const{key:a,indices:s}=Wi.MESH_TO_IRIS_INDICES_MAP[r],o=Wi.MESH_ANNOTATIONS[`${e}${a}`],l=i==null;if(l||i.includes(a))for(let u=0;u<s.length;u++){const c=s[u];n[o[u]]=[t[c][0],t[c][1],(t[c][2]+n[o[u]][2])/2]}}}class k7{constructor(n,t,e,i){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.irisModel=e,this.meshWidth=i.mesh.inputSize,this.meshHeight=i.mesh.inputSize,this.irisSize=i.iris.inputSize,this.irisEnlarge=i.iris.enlargeFactor}transformRawCoords(n,t,e,i){const r=Vn.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),a=[r[0]/this.meshWidth,r[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=Ui.buildRotationMatrix(e,[0,0]),l=s.map(d=>[...Ui.rotatePoint(d,o),d[2]]),u=Ui.invertTransformMatrix(i),c=[...Vn.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[Ui.dot(c,u[0]),Ui.dot(c,u[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}getLeftToRightEyeDepthDifference(n){const t=n[Dp[0]][2],e=n[Fp[0]][2];return t-e}getEyeBox(n,t,e,i,r=!1){const a=Vn.squarifyBox(Vn.enlargeBox(this.calculateLandmarksBoundingBox([n[e],n[i]]),this.irisEnlarge)),s=Vn.getBoxSize(a);let o=Fi.image.cropAndResize(t,[[a.startPoint[1]/this.meshHeight,a.startPoint[0]/this.meshWidth,a.endPoint[1]/this.meshHeight,a.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return r&&(o=Fi.image.flipLeftRight(o)),{box:a,boxSize:s,crop:o}}getEyeCoords(n,t,e,i=!1){const r=[];for(let a=0;a<Wp;a++){const s=n[a*3],o=n[a*3+1],l=n[a*3+2];r.push([(i?1-s/this.irisSize:s/this.irisSize)*e[0]+t.startPoint[0],o/this.irisSize*e[1]+t.startPoint[1],l])}return{rawCoords:r,iris:r.slice(D7)}}getAdjustedIrisCoords(n,t,e){const i=n[Wi.MESH_ANNOTATIONS[`${e}EyeUpper0`][O7]][2],r=n[Wi.MESH_ANNOTATIONS[`${e}EyeLower0`][E7]][2],a=(i+r)/2;return t.map((s,o)=>{let l=a;return o===2?l=i:o===4&&(l=r),[s[0],s[1],l]})}async predict(n,t){if(this.skipFrames=t.detector.skipFrames,this.maxFaces=t.detector.maxFaces,this.shouldUpdateRegionsOfInterest()){const{boxes:i,scaleFactor:r}=await this.boundingBoxDetector.getBoundingBoxes(n);if(i.length===0)return this.regionsOfInterest=[],null;const a=i.map(s=>{const o={startPoint:s.box.startPoint.squeeze().arraySync(),endPoint:s.box.endPoint.squeeze().arraySync()};s.box.startPoint.dispose(),s.box.endPoint.dispose();const l=Vn.scaleBoxCoordinates(o,r),u=Vn.enlargeBox(l),c=s.landmarks.arraySync();return s.landmarks.dispose(),s.probability.dispose(),{...u,landmarks:c}});this.updateRegionsOfInterest(a),this.runsWithoutFaceDetector=0}else this.runsWithoutFaceDetector++;const e=Fi.tidy(()=>this.regionsOfInterest.map((i,r)=>{let a=0;const s=i.landmarks.length>=I7;let[o,l]=N7;s===!1&&([o,l]=R7),a=Ui.computeRotation(i.landmarks[o],i.landmarks[l]);const u=Vn.getBoxCenter({startPoint:i.startPoint,endPoint:i.endPoint}),c=[u[0]/n.shape[2],u[1]/n.shape[1]];let h=n,d=Ui.IDENTITY_MATRIX;a!==0&&(h=Fi.image.rotateWithOffset(n,a,0,c),d=Ui.buildRotationMatrix(-a,u));const p={startPoint:i.startPoint,endPoint:i.endPoint},f=Vn.cutBoxFromImageAndResize(p,h,[this.meshHeight,this.meshWidth]).div(255),[,m,g]=this.meshDetector.predict(f),v=Fi.reshape(g,[-1,3]);let b=v.arraySync();if(t.iris.enabled){const{box:N,boxSize:C,crop:R}=this.getEyeBox(b,f,Dp[0],Dp[1],!0),{box:D,boxSize:k,crop:W}=this.getEyeBox(b,f,Fp[0],Fp[1]),F=this.irisModel.predict(Fi.concat([R,W])),P=F.dataSync();F.dispose();const H=P.slice(0,Wp*3),{rawCoords:_,iris:K}=this.getEyeCoords(H,N,C,!0),j=P.slice(Wp*3),{rawCoords:q,iris:G}=this.getEyeCoords(j,D,k),Z=this.getLeftToRightEyeDepthDifference(b);Math.abs(Z)<30?(dl(b,_,"left"),dl(b,q,"right")):Z<1?dl(b,_,"left",["EyeUpper0","EyeLower0"]):dl(b,q,"right",["EyeUpper0","EyeLower0"]);const X=this.getAdjustedIrisCoords(b,K,"left"),ee=this.getAdjustedIrisCoords(b,G,"right");b=b.concat(X).concat(ee)}const w=this.transformRawCoords(b,i,a,d);Fi.dispose(b);const S=Vn.enlargeBox(this.calculateLandmarksBoundingBox(w));if(t.mesh.enabled){const N=Fi.tensor2d(w);this.regionsOfInterest[r]={...S,landmarks:N.arraySync()};const C={coords:N,box:S,confidence:m.squeeze(),image:f};return C}const L={coords:null,box:S,confidence:m.squeeze(),image:f};return L}));return e}updateRegionsOfInterest(n){for(let t=0;t<n.length;t++){const e=n[t],i=this.regionsOfInterest[t];let r=0;if(i&&i.startPoint){const[a,s]=e.startPoint,[o,l]=e.endPoint,[u,c]=i.startPoint,[h,d]=i.endPoint,p=Math.max(a,u),f=Math.max(s,c),m=Math.min(o,h),g=Math.min(l,d),v=(m-p)*(g-f),b=(o-a)*(l-s),w=(h-u)*(d-s);r=v/(b+w-v)}r<A7&&(this.regionsOfInterest[t]=e)}this.regionsOfInterest=this.regionsOfInterest.slice(0,n.length)}clearRegionOfInterest(n){this.regionsOfInterest[n]!=null&&(this.regionsOfInterest=[...this.regionsOfInterest.slice(0,n),...this.regionsOfInterest.slice(n+1)])}shouldUpdateRegionsOfInterest(){const n=this.regionsOfInterest.length,t=n===0;return this.maxFaces===1||t?t:n!==this.maxFaces&&this.runsWithoutFaceDetector>=this.skipFrames}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),i=[Math.min(...t),Math.min(...e)],r=[Math.max(...t),Math.max(...e)];return{startPoint:i,endPoint:r}}}GL.Pipeline=k7});var 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r=Bt.image.resizeBilinear(n,[t.face.emotion.inputSize,t.face.emotion.inputSize],!1),[a,s,o]=Bt.split(r,3,3);if(t.face.emotion.useGrayscale){const l=Bt.mul(a,[.2989]),u=Bt.mul(s,[.587]),c=Bt.mul(o,[.114]),h=Bt.addN([l,u,c]);return h}return s}return Y7(n,t.face.emotion.inputSize)}),i=[];if(t.face.emotion.enabled){const r=await zp.emotion.predict(e),a=await r.data();for(let s=0;s<a.length;s++)nI*a[s]>t.face.emotion.minConfidence&&i.push({score:Math.min(.99,Math.trunc(100*nI*a[s])/100),emotion:G7[s]});i.sort((s,o)=>o.score-s.score),Bt.dispose(r)}return Bt.dispose(e),tI=i,i}Bp.predict=j7;Bp.load=K7});var sI=Ae(rI=>{const aI=Ut();class $7{constructor(n,t){this.model=n,this.outputStride=t;const e=this.model.inputs[0].shape;aI.util.assert(e[1]===-1&&e[2]===-1,()=>`Input shape [${e[1]}, ${e[2]}] must both be equal to or -1`)}predict(n){return aI.tidy(()=>{const t=this.preprocessInput(n.toFloat()),e=t.expandDims(0),i=this.model.predict(e),r=i.map(s=>s.squeeze([0])),a=this.nameOutputResults(r);return{heatmapScores:a.heatmap.sigmoid(),offsets:a.offsets,displacementFwd:a.displacementFwd,displacementBwd:a.displacementBwd}})}dispose(){this.model.dispose()}}rI.BaseModel=$7});var _p=Ae(oI=>{const lI=Ut(),X7=sI();class J7 extends X7.BaseModel{preprocessInput(n){return lI.tidy(()=>lI.div(n,127.5).sub(1))}nameOutputResults(n){const[t,e,i,r]=n;return{offsets:t,heatmap:e,displacementFwd:i,displacementBwd:r}}}oI.MobileNet=J7});var cI=Ae(uI=>{function Mp(n){return Math.floor(n/2)}class Z7{constructor(n,t){this.priorityQueue=new Array(n),this.numberOfElements=-1,this.getElementValue=t}enqueue(n){this.priorityQueue[++this.numberOfElements]=n,this.swim(this.numberOfElements)}dequeue(){const n=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,n}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(n){for(;n>0&&this.less(Mp(n),n);)this.exchange(n,Mp(n)),n=Mp(n)}sink(n){for(;2*n<=this.numberOfElements;){let t=2*n;if(t<this.numberOfElements&&this.less(t,t+1)&&t++,!this.less(n,t))break;this.exchange(n,t),n=t}}getValueAt(n){return this.getElementValue(this.priorityQueue[n])}less(n,t){return this.getValueAt(n)<this.getValueAt(t)}exchange(n,t){const e=this.priorityQueue[n];this.priorityQueue[n]=this.priorityQueue[t],this.priorityQueue[t]=e}}uI.MaxHeap=Z7});var dI=Ae(hI=>{const Q7=cI();function eH(n,t,e,i,r,a){const[s,o]=a.shape;let l=!0;const u=Math.max(e-r,0),c=Math.min(e+r+1,s);for(let h=u;h<c;++h){const d=Math.max(i-r,0),p=Math.min(i+r+1,o);for(let f=d;f<p;++f)if(a.get(h,f,n)>t){l=!1;break}if(!l)break}return l}function tH(n,t,e){const[i,r,a]=e.shape,s=new Q7.MaxHeap(i*r*a,({score:o})=>o);for(let o=0;o<i;++o)for(let l=0;l<r;++l)for(let u=0;u<a;++u){const c=e.get(o,l,u);if(c<n)continue;eH(u,c,o,l,t,e)&&s.enqueue({score:c,part:{heatmapY:o,heatmapX:l,id:u}})}return s}hI.buildPartWithScoreQueue=tH});var Ts=Ae(xn=>{xn.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];xn.NUM_KEYPOINTS=xn.partNames.length;xn.partIds=xn.partNames.reduce((n,t,e)=>(n[t]=e,n),{});const nH=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];xn.poseChain=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];xn.connectedPartIndices=nH.map(([n,t])=>[xn.partIds[n],xn.partIds[t]]);xn.partChannels=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]});var Vp=Ae(Bi=>{const iH=Ts();function pI(n,t,e,i){return{y:i.get(n,t,e),x:i.get(n,t,e+iH.NUM_KEYPOINTS)}}Bi.getOffsetPoint=pI;function rH(n,t,e){const{heatmapY:i,heatmapX:r,id:a}=n,{y:s,x:o}=pI(i,r,a,e);return{x:n.heatmapX*t+o,y:n.heatmapY*t+s}}Bi.getImageCoords=rH;function aH(n,t){const e=new Array(t);for(let i=0;i<t;i++)e[i]=n;return e}Bi.fillArray=aH;function Hp(n,t,e){return n<t?t:n>e?e:n}Bi.clamp=Hp;function sH(n,t,e,i){const r=e-n,a=i-t;return r*r+a*a}Bi.squaredDistance=sH;function oH(n,t){return{x:n.x+t.x,y:n.y+t.y}}Bi.addVectors=oH;function lH(n,t,e){return{y:Hp(n.y,t,e),x:Hp(n.x,t,e)}}Bi.clampVector=lH});var yI=Ae(fI=>{const Ns=Ts(),Sa=Vp(),mI=Ns.poseChain.map(([n,t])=>[Ns.partIds[n],Ns.partIds[t]]),qp=mI.map(([,n])=>n),gI=mI.map(([n])=>n);function uH(n,t,e){const i=e.shape[2]/2;return{y:e.get(t.y,t.x,n),x:e.get(t.y,t.x,i+n)}}function Gp(n,t,e,i){return{y:Sa.clamp(Math.round(n.y/t),0,e-1),x:Sa.clamp(Math.round(n.x/t),0,i-1)}}function vI(n,t,e,i,r,a,s,o=2){const[l,u]=i.shape,c=Gp(t.position,a,l,u),h=uH(n,c,s),d=Sa.addVectors(t.position,h);let p=d;for(let g=0;g<o;g++){const v=Gp(p,a,l,u),b=Sa.getOffsetPoint(v.y,v.x,e,r);p=Sa.addVectors({x:v.x*a,y:v.y*a},{x:b.x,y:b.y})}const f=Gp(p,a,l,u),m=i.get(f.y,f.x,e);return{position:p,part:Ns.partNames[e],score:m}}function cH(n,t,e,i,r,a){const s=t.shape[2],o=qp.length,l=new Array(s),{part:u,score:c}=n,h=Sa.getImageCoords(u,i,e);l[u.id]={score:c,part:Ns.partNames[u.id],position:h};for(let d=o-1;d>=0;--d){const p=qp[d],f=gI[d];l[p]&&!l[f]&&(l[f]=vI(d,l[p],f,t,e,i,a))}for(let d=0;d<o;++d){const p=gI[d],f=qp[d];l[p]&&!l[f]&&(l[f]=vI(d,l[p],f,t,e,i,r))}return l}fI.decodePose=cH});var Yp=Ae(bI=>{const hH=dI(),dH=yI(),wI=Vp();function SI(n,t,{x:e,y:i},r){return n.some(({keypoints:a})=>{const s=a[r].position;return wI.squaredDistance(i,e,s.y,s.x)<=t})}function pH(n,t,e){const i=e.reduce((r,{position:a,score:s},o)=>(SI(n,t,a,o)||(r+=s),r),0);return i/e.length}const fH=1;function mH(n,t,e,i,r,a,s=.5,o=20){const l=[],u=hH.buildPartWithScoreQueue(s,fH,n),c=o*o;for(;l.length<a&&!u.empty();){const h=u.dequeue(),d=wI.getImageCoords(h.part,r,t);if(SI(l,c,d,h.part.id))continue;const p=dH.decodePose(h,n,t,r,e,i),f=pH(l,c,p);l.push({keypoints:p,score:f})}return l}bI.decodeMultiplePoses=mH});var jp=Ae(pn=>{const La=Ut(),gH=Ts();function vH(n,t,e){return n<e||t<e}function yH(n,t){return gH.connectedPartIndices.reduce((e,[i,r])=>(vH(n[i].score,n[r].score,t)||e.push([n[i],n[r]]),e),[])}pn.getAdjacentKeyPoints=yH;const{NEGATIVE_INFINITY:LI,POSITIVE_INFINITY:II}=Number;function AI(n){return n.reduce(({maxX:t,maxY:e,minX:i,minY:r},{position:{x:a,y:s}})=>({maxX:Math.max(t,a),maxY:Math.max(e,s),minX:Math.min(i,a),minY:Math.min(r,s)}),{maxX:LI,maxY:LI,minX:II,minY:II})}pn.getBoundingBox=AI;function bH(n){const{minX:t,minY:e,maxX:i,maxY:r}=AI(n);return[{x:t,y:e},{x:i,y:e},{x:i,y:r},{x:t,y:r}]}pn.getBoundingBoxPoints=bH;async function wH(n){return Promise.all(n.map(t=>t.buffer()))}pn.toTensorBuffers3D=wH;function TI(n,t,e,i=0,r=0){return{score:n.score,keypoints:n.keypoints.map(({score:a,part:s,position:o})=>({score:a,part:s,position:{x:o.x*e+r,y:o.y*t+i}}))}}pn.scalePose=TI;function NI(n,t,e,i=0,r=0){return e===1&&t===1&&i===0&&r===0?n:n.map(a=>TI(a,t,e,i,r))}pn.scalePoses=NI;function xI(n){return n instanceof La.Tensor?[n.shape[0],n.shape[1]]:[n.height,n.width]}pn.getInputTensorDimensions=xI;function Kp(n){return n instanceof La.Tensor?n:La.browser.fromPixels(n)}pn.toInputTensor=Kp;function SH(n,t,e){return La.tidy(()=>{const i=Kp(n);return i.resizeBilinear([t,e])})}pn.toResizedInputTensor=SH;function LH(n,[t,e]){const[i,r]=xI(n),a=e/t,s=r/i;let[o,l,u,c]=[0,0,0,0];s<a?(o=0,l=0,u=Math.round(.5*(a*i-r)),c=Math.round(.5*(a*i-r))):(o=Math.round(.5*(1/a*r-i)),l=Math.round(.5*(1/a*r-i)),u=0,c=0);const h=La.tidy(()=>{let d=Kp(n);return d=La.pad3d(d,[[o,l],[u,c],[0,0]]),d.resizeBilinear([t,e])});return{resized:h,padding:{top:o,left:u,right:c,bottom:l}}}pn.padAndResizeTo=LH;function IH(n,[t,e],[i,r],a){const s=(t+a.top+a.bottom)/i,o=(e+a.left+a.right)/r,l=NI(n,s,o,-a.top,-a.left);return l}pn.scaleAndFlipPoses=IH});var RI=Ae($p=>{const AH=Ut(),TH=_p(),NH=Yp(),fl=jp();class CI{constructor(n){this.baseModel=n}async estimatePoses(n,t){const e=t.outputStride,[i,r]=fl.getInputTensorDimensions(n),{resized:a,padding:s}=fl.padAndResizeTo(n,[t.inputResolution,t.inputResolution]),{heatmapScores:o,offsets:l,displacementFwd:u,displacementBwd:c}=this.baseModel.predict(a),h=await fl.toTensorBuffers3D([o,l,u,c]),d=h[0],p=h[1],f=h[2],m=h[3],g=await NH.decodeMultiplePoses(d,p,f,m,e,t.maxDetections,t.scoreThreshold,t.nmsRadius),v=fl.scaleAndFlipPoses(g,[i,r],[t.inputResolution,t.inputResolution],s);return o.dispose(),l.dispose(),u.dispose(),c.dispose(),a.dispose(),v}dispose(){this.baseModel.dispose()}}$p.PoseNet=CI;async function xH(n){const t=await AH.loadGraphModel(n.modelPath),e=new TH.MobileNet(t,n.outputStride);return new CI(e)}async function CH(n){return xH(n)}$p.load=CH});var EI=Ae(Qt=>{const RH=_p(),OI=RI(),OH=Yp(),ml=Ts(),xs=jp();Qt.load=OI.load;Qt.PoseNet=OI.PoseNet;Qt.MobileNet=RH.MobileNet;Qt.decodeMultiplePoses=OH.decodeMultiplePoses;Qt.partChannels=ml.partChannels;Qt.partIds=ml.partIds;Qt.partNames=ml.partNames;Qt.poseChain=ml.poseChain;Qt.getAdjacentKeyPoints=xs.getAdjacentKeyPoints;Qt.getBoundingBox=xs.getBoundingBox;Qt.getBoundingBoxPoints=xs.getBoundingBoxPoints;Qt.scaleAndFlipPoses=xs.scaleAndFlipPoses;Qt.scalePose=xs.scalePose});var Zp=Ae(zi=>{const EH=Ut();function Xp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}zi.getBoxSize=Xp;function Jp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}zi.getBoxCenter=Jp;function DH(n,t,e){const i=t.shape[1],r=t.shape[2],a=[[n.startPoint[1]/i,n.startPoint[0]/r,n.endPoint[1]/i,n.endPoint[0]/r]];return EH.image.cropAndResize(t,a,[0],e)}zi.cutBoxFromImageAndResize=DH;function kH(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],i=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]],r=n.palmLandmarks.map(a=>{const s=[a[0]*t[0],a[1]*t[1]];return s});return{startPoint:e,endPoint:i,palmLandmarks:r}}zi.scaleBoxCoordinates=kH;function FH(n,t=1.5){const e=Jp(n),i=Xp(n),r=[t*i[0]/2,t*i[1]/2],a=[e[0]-r[0],e[1]-r[1]],s=[e[0]+r[0],e[1]+r[1]];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}zi.enlargeBox=FH;function WH(n){const t=Jp(n),e=Xp(n),i=Math.max(...e),r=i/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}zi.squarifyBox=WH;function UH(n,t){const e=[n.endPoint[0]-n.startPoint[0],n.endPoint[1]-n.startPoint[1]],i=[e[0]*t[0],e[1]*t[1]],r=[n.startPoint[0]+i[0],n.startPoint[1]+i[1]],a=[n.endPoint[0]+i[0],n.endPoint[1]+i[1]];return{startPoint:r,endPoint:a,palmLandmarks:n.palmLandmarks}}zi.shiftBox=UH});var kI=Ae(DI=>{const Ve=Ut(),BH=Zp();class zH{constructor(n,t,e){this.model=n,this.width=e.inputSize,this.height=e.inputSize,this.anchors=t.map(i=>[i.x_center,i.y_center]),this.anchorsTensor=Ve.tensor2d(this.anchors),this.inputSizeTensor=Ve.tensor1d([e.inputSize,e.inputSize]),this.doubleInputSizeTensor=Ve.tensor1d([e.inputSize*2,e.inputSize*2])}normalizeBoxes(n){return Ve.tidy(()=>{const t=Ve.slice(n,[0,0],[-1,2]),e=Ve.slice(n,[0,2],[-1,2]),i=Ve.add(Ve.div(t,this.inputSizeTensor),this.anchorsTensor),r=Ve.div(e,this.doubleInputSizeTensor),a=Ve.mul(Ve.sub(i,r),this.inputSizeTensor),s=Ve.mul(Ve.add(i,r),this.inputSizeTensor);return Ve.concat2d([a,s],1)})}normalizeLandmarks(n,t){return Ve.tidy(()=>{const e=Ve.add(Ve.div(n.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return Ve.mul(e,this.inputSizeTensor)})}async getBoundingBoxes(n){const t=Ve.tidy(()=>Ve.mul(Ve.sub(n,.5),2)),e=this.model.predict(t),i=e.squeeze(),r=Ve.tidy(()=>Ve.sigmoid(Ve.slice(i,[0,0],[-1,1])).squeeze()),a=Ve.slice(i,[0,1],[-1,4]),s=this.normalizeBoxes(a),o=await Ve.image.nonMaxSuppressionAsync(s,r,this.maxHands,this.iouThreshold,this.scoreThreshold),l=await o.array(),u=[t,e,o,i,s,a,r];if(l.length===0)return u.forEach(h=>h.dispose()),null;const c=Ve.tidy(()=>{const h=[];for(const d in l){const p=l[d],f=Ve.slice(s,[p,0],[1,-1]),m=Ve.slice(i,[p,5],[1,14]),g=Ve.tidy(()=>this.normalizeLandmarks(m,p).reshape([-1,2]));h.push({boxes:f,palmLandmarks:g})}return h});return c}async estimateHandBounds(n,t){const e=n.shape[1],i=n.shape[2];this.iouThreshold=t.iouThreshold,this.scoreThreshold=t.scoreThreshold,this.maxHands=t.maxHands;const r=Ve.tidy(()=>n.resizeBilinear([this.width,this.height]).div(255)),a=await this.getBoundingBoxes(r);if(r.dispose(),!a||a.length===0)return null;const s=[];for(const o in a){const l=a[o],u=await l.boxes.array(),c=u[0].slice(0,2),h=u[0].slice(2,4),d=await l.palmLandmarks.array();l.boxes.dispose(),l.palmLandmarks.dispose(),s.push(BH.scaleBoxCoordinates({startPoint:c,endPoint:h,palmLandmarks:d},[i/this.width,e/this.height]))}return s}}DI.HandDetector=zH});var WI=Ae(FI=>{FI.MESH_ANNOTATIONS={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]}});var _I=Ae(Pi=>{function UI(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}Pi.normalizeRadians=UI;function PH(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return UI(e)}Pi.computeRotation=PH;const BI=(n,t)=>[[1,0,n],[0,1,t],[0,0,1]];function Ia(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}Pi.dot=Ia;function zI(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}Pi.getColumnFrom2DArr=zI;function PI(n,t){const e=[],i=n.length;for(let r=0;r<i;r++){e.push([]);for(let a=0;a<i;a++)e[r].push(Ia(n[r],zI(t,a)))}return e}function _H(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=BI(t[0],t[1]),s=PI(a,r),o=BI(-t[0],-t[1]);return PI(s,o)}Pi.buildRotationMatrix=_H;function MH(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-Ia(t[0],e),-Ia(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}Pi.invertTransformMatrix=MH;function HH(n,t){return[Ia(n,t[0]),Ia(n,t[1])]}Pi.rotatePoint=HH});var qI=Ae(MI=>{const HI=Ut(),qn=Zp(),_i=_I(),VH=.8,qH=[0,-.4],GH=[0,-.1],YH=1.65,VI=[0,5,9,13,17,1,2],KH=0,jH=2;class $H{constructor(n,t,e){this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.meshWidth=e.inputSize,this.meshHeight=e.inputSize,this.enlargeFactor=e.enlargeFactor}getBoxForPalmLandmarks(n,t){const e=n.map(r=>{const a=[...r,1];return _i.rotatePoint(a,t)}),i=this.calculateLandmarksBoundingBox(e);return qn.enlargeBox(qn.squarifyBox(qn.shiftBox(i,qH)),this.enlargeFactor)}getBoxForHandLandmarks(n){const t=this.calculateLandmarksBoundingBox(n),e=qn.enlargeBox(qn.squarifyBox(qn.shiftBox(t,GH)),YH),i=[];for(let r=0;r<VI.length;r++)i.push(n[VI[r]].slice(0,2));return e.palmLandmarks=i,e}transformRawCoords(n,t,e,i){const r=qn.getBoxSize(t),a=[r[0]/this.meshWidth,r[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=_i.buildRotationMatrix(e,[0,0]),l=s.map(d=>{const p=_i.rotatePoint(d,o);return[...p,d[2]]}),u=_i.invertTransformMatrix(i),c=[...qn.getBoxCenter(t),1],h=[_i.dot(c,u[0]),_i.dot(c,u[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHands(n,t){this.maxContinuousChecks=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands;const e=this.shouldUpdateRegionsOfInterest();if(e===!0){const r=await this.boundingBoxDetector.estimateHandBounds(n,t);this.regionsOfInterest=[];for(const a in r)this.updateRegionsOfInterest(r[a],!0,a);this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const i=[];if(!this.regionsOfInterest)return i;for(const r in this.regionsOfInterest){const a=this.regionsOfInterest[r][0];if(!a)return i;const s=_i.computeRotation(a.palmLandmarks[KH],a.palmLandmarks[jH]),o=qn.getBoxCenter(a),l=[o[0]/n.shape[2],o[1]/n.shape[1]],u=HI.image.rotateWithOffset(n,s,0,l),c=_i.buildRotationMatrix(-s,o),h=e?this.getBoxForPalmLandmarks(a.palmLandmarks,c):a,d=qn.cutBoxFromImageAndResize(h,u,[this.meshWidth,this.meshHeight]),p=d.div(255);d.dispose(),u.dispose();const f=this.meshDetector.predict(p),[m,g]=f;p.dispose();const v=m.dataSync()[0];if(m.dispose(),v<t.minConfidence)return g.dispose(),this.regionsOfInterest[r]=[],i;const b=HI.reshape(g,[-1,3]),w=await b.array();g.dispose(),b.dispose();const S=this.transformRawCoords(w,h,s,c),L=this.getBoxForHandLandmarks(S);this.updateRegionsOfInterest(L,!1,r);const N={landmarks:S,confidence:v,box:{topLeft:L.startPoint,bottomRight:L.endPoint}};i.push(N)}return i}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),i=[Math.min(...t),Math.min(...e)],r=[Math.max(...t),Math.max(...e)];return{startPoint:i,endPoint:r}}updateRegionsOfInterest(n,t,e){if(t)this.regionsOfInterest[e]=[n];else{const i=this.regionsOfInterest[e][0];let r=0;if(i!=null&&i.startPoint!=null){const[a,s]=n.startPoint,[o,l]=n.endPoint,[u,c]=i.startPoint,[h,d]=i.endPoint,p=Math.max(a,u),f=Math.max(s,c),m=Math.min(o,h),g=Math.min(l,d),v=(m-p)*(g-f),b=(o-a)*(l-s),w=(h-u)*(d-s);r=v/(b+w-v)}this.regionsOfInterest[e][0]=r>VH?i:n}}shouldUpdateRegionsOfInterest(){return!this.regionsOfInterest||this.regionsOfInterest.length===0||this.runsWithoutHandDetector>=this.maxContinuousChecks}}MI.HandPipeline=$H});var KI=Ae(Qp=>{const Tr=Ut(),XH=kI(),GI=WI(),JH=qI();class YI{constructor(n){this.pipeline=n}async estimateHands(n,t){this.maxContinuousChecks=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands;const e=Tr.tidy(()=>(n instanceof Tr.Tensor||(n=Tr.browser.fromPixels(n)),n.toFloat().expandDims(0))),i=await this.pipeline.estimateHands(e,t);e.dispose();const r=[];if(!i)return r;for(const a of i){if(!a)return[];const s={};for(const o of Object.keys(GI.MESH_ANNOTATIONS))s[o]=GI.MESH_ANNOTATIONS[o].map(l=>a.landmarks[l]);r.push({confidence:a.confidence||0,box:a.box?[a.box.topLeft[0],a.box.topLeft[1],a.box.bottomRight[0]-a.box.topLeft[0],a.box.bottomRight[1]-a.box.topLeft[1]]:0,landmarks:a.landmarks,annotations:s})}return r}}Qp.HandPose=YI;async function ZH(n){if(Tr.env().features.IS_NODE){const t=require("fs"),e=await t.readFileSync(n.replace("file://",""));return JSON.parse(e)}return Tr.util.fetch(n).then(t=>t.json())}async function QH(n){const[t,e,i]=await Promise.all([ZH(n.detector.anchors),Tr.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),Tr.loadGraphModel(n.skeleton.modelPath,{fromTFHub:n.skeleton.modelPath.includes("tfhub.dev")})]),r=new XH.HandDetector(e,t,n),a=new JH.HandPipeline(r,i,n),s=new YI(a);return s}Qp.load=QH});var jI=Ae(eV=>{vl(eV,{default:()=>tV});var tV={face:{enabled:!0,detector:{modelPath:"../models/blazeface/model.json",inputSize:128,maxFaces:10,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.7},mesh:{enabled:!0,modelPath:"../models/facemesh/model.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris/model.json",enlargeFactor:2.3,inputSize:64},age:{enabled:!0,modelPath:"../models/ssrnet-age/imdb/model.json",inputSize:64,skipFrames:10},gender:{enabled:!0,modelPath:"../models/ssrnet-gender/imdb/model.json"},emotion:{enabled:!0,inputSize:64,minConfidence:.5,skipFrames:10,useGrayscale:!0,modelPath:"../models/emotion/model.json"}},body:{enabled:!0,modelPath:"../models/posenet/model.json",inputResolution:257,outputStride:16,maxDetections:5,scoreThreshold:.7,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.7,enlargeFactor:1.65,maxHands:2,detector:{anchors:"../models/handdetect/anchors.json",modelPath:"../models/handdetect/model.json"},skeleton:{modelPath:"../models/handskeleton/model.json"}}}});const Nr=Ut(),$I=ZL(),gl=eI(),XI=iI(),JI=EI(),ZI=KI(),QI=jI().default,Gn={facemesh:null,blazeface:null,ssrnet:null,iris:null};function e2(...n){const t=e=>e&&typeof e=="object";return n.reduce((e,i)=>(Object.keys(i||{}).forEach(r=>{const a=e[r],s=i[r];Array.isArray(a)&&Array.isArray(s)?e[r]=a.concat(...s):t(a)&&t(s)?e[r]=e2(a,s):e[r]=s}),e),{})}async function nV(n,t){return new Promise(async e=>{const i=e2(QI,t);i.face.age.enabled&&await gl.loadAge(i),i.face.gender.enabled&&await gl.loadGender(i),i.face.emotion.enabled&&await XI.load(i),i.body.enabled&&!Gn.posenet&&(Gn.posenet=await JI.load(i.body)),i.hand.enabled&&!Gn.handpose&&(Gn.handpose=await ZI.load(i.hand)),i.face.enabled&&!Gn.facemesh&&(Gn.facemesh=await $I.load(i.face)),Nr.engine().startScope();let r;Nr.getBackend()==="webgl"&&(r=Nr.env().get("WEBGL_PACK_DEPTHWISECONV"),Nr.env().set("WEBGL_PACK_DEPTHWISECONV",!0));const a={};let s;s=performance.now();let o=[];i.body.enabled&&(o=await Gn.posenet.estimatePoses(n,i.body)),a.body=Math.trunc(performance.now()-s),s=performance.now();let l=[];i.hand.enabled&&(l=await Gn.handpose.estimateHands(n,i.hand)),a.hand=Math.trunc(performance.now()-s);const u=[];if(i.face.enabled){s=performance.now();const c=await Gn.facemesh.estimateFaces(n,i.face);a.face=Math.trunc(performance.now()-s);for(const h of c){s=performance.now();const d=i.face.age.enabled||i.face.gender.enabled?await gl.predict(h.image,i):{};a.agegender=Math.trunc(performance.now()-s),s=performance.now();const p=i.face.emotion.enabled?await XI.predict(h.image,i):{};a.emotion=Math.trunc(performance.now()-s),h.image.dispose();const f=h.annotations.leftEyeIris&&h.annotations.rightEyeIris?Math.max(h.annotations.leftEyeIris[3][0]-h.annotations.leftEyeIris[1][0],h.annotations.rightEyeIris[3][0]-h.annotations.rightEyeIris[1][0]):0;u.push({confidence:h.confidence,box:h.box,mesh:h.mesh,annotations:h.annotations,age:d.age,gender:d.gender,emotion:p,iris:f!==0?Math.trunc(100*11.7/f)/100:0})}}Nr.env().set("WEBGL_PACK_DEPTHWISECONV",r),Nr.engine().endScope(),a.total=Object.values(a).reduce((c,h)=>c+h),e({face:u,body:o,hand:l,performance:a})})}exports.detect=nV;exports.defaults=QI;exports.models=Gn;exports.facemesh=$I;exports.ssrnet=gl;exports.posenet=JI;exports.handpose=ZI;exports.tf=Nr;
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 * Licensed under the Apache License, Version 2.0 (the "License");
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 * Use of this source code is governed by an MIT-style
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/**
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 * Licensed under the Apache License, Version 2.0 (the "License");
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/**
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 * Copyright 2018 Google LLC. All Rights Reserved.
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/**
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 * Copyright 2019 Google LLC
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 * Use of this source code is governed by an MIT-style
 * license that can be found in the LICENSE file or at
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/**
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 * 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
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 * Unless required by applicable law or agreed to in writing, software
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 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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/**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
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/**
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/**
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/**
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/**
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/**
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