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human
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var human=(()=>{var bp=Object.defineProperty;var Se=(n,t)=>()=>(t||(t={exports:{}},n(t.exports,t)),t.exports),gI=n=>bp(n,"__esModule",{value:!0}),wp=(n,t)=>{gI(n);for(var e in t)bp(n,e,{get:t[e],enumerable:!0})};var Sp=Se(()=>{});var Lp=Se(()=>{});var us=Se(()=>{});var Gi=Se(I=>{"use strict";Object.defineProperty(I,"__esModule",{value:!0});var $o=function(n,t){return $o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},$o(n,t)};function Pn(n,t){$o(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}function de(n,t,e,i){return new(e||(e=Promise))(function(r,a){function s(u){try{l(i.next(u))}catch(c){a(c)}}function o(u){try{l(i.throw(u))}catch(c){a(c)}}function l(u){u.done?r(u.value):new e(function(c){c(u.value)}).then(s,o)}l((i=i.apply(n,t||[])).next())})}function pe(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return 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vI=1e-7,yI=1e-4,bI=function(){function n(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}return n.prototype.get=function(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)},n.prototype.set=function(t,e){this.dataIdsCount++,this.data.set(t,e)},n.prototype.has=function(t){return this.data.has(t)},n.prototype.delete=function(t){return this.dataIdsCount--,this.data.delete(t)},n.prototype.numDataIds=function(){return this.dataIdsCount},n}(),Ip=function(){function n(){}return n.prototype.time=function(t){return $("time")},n.prototype.read=function(t){return $("read")},n.prototype.readSync=function(t){return $("readSync")},n.prototype.numDataIds=function(){return $("numDataIds")},n.prototype.disposeData=function(t){return $("disposeData")},n.prototype.write=function(t,e,i){return $("write")},n.prototype.move=function(t,e,i,r){return $("move")},n.prototype.memory=function(){return $("memory")},n.prototype.floatPrecision=function(){return $("floatPrecision")},n.prototype.epsilon=function(){return this.floatPrecision()===32?vI:yI},n.prototype.batchMatMul=function(t,e,i,r){return $("batchMatMul")},n.prototype.fusedBatchMatMul=function(t){var e=t.a,i=t.b,r=t.transposeA,a=t.transposeB,s=t.bias,o=t.activation,l=t.preluActivationWeights;return $("fusedBatchMatMul")},n.prototype.slice=function(t,e,i){return $("slice")},n.prototype.stridedSlice=function(t,e,i,r){return $("stridedSlice")},n.prototype.unstack=function(t,e){return $("unstack")},n.prototype.reverse=function(t,e){return $("reverse")},n.prototype.concat=function(t,e){return $("concat")},n.prototype.neg=function(t){return $("neg")},n.prototype.add=function(t,e){return $("add")},n.prototype.addN=function(t){return $("addN")},n.prototype.subtract=function(t,e){return $("subtract")},n.prototype.multiply=function(t,e){return $("multiply")},n.prototype.realDivide=function(t,e){return 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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,In().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;In().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),br.print(this,t)},n.prototype.clone=function(){return this.throwIfDisposed(),br.clone(this)},n.prototype.toString=function(t){t===void 0&&(t=!1);var e=this.dataSync();return ZI(e,this.shape,this.dtype,t)},n.prototype.cast=function(t){return this.throwIfDisposed(),br.cast(this,t)},n.prototype.variable=function(t,e,i){return t===void 0&&(t=!0),this.throwIfDisposed(),In().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 ma=function(n){Pn(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(!rn(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and "+("previous value ("+this.shape+") must match"));In().disposeTensor(this),this.dataId=e.dataId,In().incRef(this,null)},t.prototype.dispose=function(){In().disposeVariable(this),this.isDisposedInternal=!0},t}(Y);Object.defineProperty(ma,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 Ku;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(Ku||(Ku={}));var ju;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(ju||(ju={}));var $u;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})($u||($u={}));var Xu;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(Xu||(Xu={}));var t2={float32:$u,int32:Ku,bool:ju,complex64:Xu};function bs(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error("Can not upcast "+n+" with "+t)}return t2[n][t]}function n2(n){return bs(n,"int32")}function rt(n,t){if(n.dtype===t.dtype)return[n,t];var e=bs(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function Mf(n,t){E(n.dtype===t.dtype,function(){return"The dtypes of the first("+n.dtype+") and"+(" second("+t.dtype+") input must match")})}function i2(n,t){return t.some(function(e){return e.id===n.id})}function Ju(n){var t=[],e=new Set;return Hf(n,t,e),t}function Hf(n,t,e){if(n==null)return;if(n instanceof Y){t.push(n);return}if(!r2(n))return;var i=n;for(var r in i){var a=i[r];e.has(a)||(e.add(a),Hf(a,t,e))}}function r2(n){return Array.isArray(n)||typeof n=="object"}var a2={__proto__:null,makeTypesMatch:rt,assertTypesMatch:Mf,isTensorInList:i2,getTensorsInContainer:Ju};var Vf=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}(),l2=function(){function n(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Vf}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 jI(this.backendInstance),[2,!0]}})})},n.prototype.setupRegisteredKernels=function(){var t=this,e=ds(this.backendName);e.forEach(function(i){i.setupFunc!=null&&i.setupFunc(t.backendInstance)})},n.prototype.disposeRegisteredKernels=function(t){var e=this,i=ds(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 Ip)&&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,hs,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=Pu(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 x=l.getTensorsForGradient(r,e,L);if(x==null){o==null&&(o=[]);var C=L.filter(function(R,D){return o[D]});x=(s||[]).slice().concat(C)}c=l.saveTensorsForBackwardMode(x)}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=_u(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"&&Zn(t[0])&&(a=t.map(function(c){return Mu(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=Wf(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 ma(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*Ff(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 ma||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=_u(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=yr(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=Ju(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=$I(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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s=O(n,"forgetBias","basicLSTMCell"),o=O(t,"lstmKernel","basicLSTMCell"),l=O(e,"lstmBias","basicLSTMCell"),u=O(i,"data","basicLSTMCell"),c=O(r,"c","basicLSTMCell"),h=O(a,"h","basicLSTMCell"),d=Nt([u,h],1),p=Fe(d,o),f=fe(p,l),m=f.shape[0],g=f.shape[1]/4,v=[m,g],b=ze(f,[0,0],v),w=ze(f,[0,g],v),S=ze(f,[0,g*2],v),L=ze(f,[0,g*3],v),x=fe(J(Fi(b),Ns(w)),J(c,Fi(fe(s,S)))),C=J(Ns(x),Fi(L));return[x,C]}var CT=U({basicLSTMCell_:xT});function RT(n,t,e){var i=O(n,"x","batchToSpaceND"),r=t.reduce(function(l,u){return l*u});E(i.rank>=1+t.length,function(){return"input rank is "+i.rank+" but should be > than blockShape.length "+t.length}),E(e.length===t.length,function(){return"crops.length is "+e.length+" but should be equal to blockShape.length "+t.length}),E(i.shape[0]%r===0,function(){return"input tensor batch is "+i.shape[0]+" but is not divisible by the product of "+("the elements of blockShape "+t.join(" * ")+" === "+r)});var a=function(l){return 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1 "+("but got rank "+c.rank+".")}),Sa(s,o,l,c,u,a)}var BT=U({batchNorm4d_:UT});function zT(n,t){var e=O(n,"broadcastTo","x"),i=e.shape;if(t.some(function(d){return!(d>0)||d%1!==0}))throw new Error("broadcastTo(): Invalid broadcast shape ["+t+"].");if(t.length<e.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+e.rank+".");if(t.length>e.rank){for(var r=e.shape.slice();r.length<t.length;)r.unshift(1);e=V(e,r)}for(var a=e.shape,s=Array.from(t),o=t.length-1;o>=0;o--)if(a[o]===t[o])s[o]=1;else if(e.shape[o]!==1)throw new Error("broadcastTo(): ["+i+"] cannot be broadcast to ["+t+"].");var l=s.map(function(d,p){return d>1?p:-1}).filter(function(d){return d>=0});if(l.length===0)return Di(e);var u=function(d){return d.tile(e,s)},c={x:e},h={shape:t,inputShape:a};return z.runKernelFunc(u,c,null,dl,h)}var Rs=U({broadcastTo_:zT});function PT(n){var t=O(n,"x","ceil"),e={x:t};return z.runKernelFunc(function(i){return i.ceil(t)},e,null,pl)}var Gm=U({ceil_:PT});function 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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=ya(a),v=xn(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,kp,p)}var qc=U({conv2DBackpropFilter_:BC});function Ks(n,t,e){if(e==null||e==="linear")return n;if(e==="relu")return J(n,Fr(t));throw new Error("Cannot compute gradient for fused activation "+e+".")}function js(n,t){var e=t,i=ft(n.shape,t.shape);return i.length>0&&(e=Ae(e,i)),V(e,n.shape)}function $s(n,t,e){if(t==="linear")return n;if(t==="relu")return Na(n);if(t==="elu")return Ic(n);if(t==="relu6")return Bc(n);if(t==="prelu")return kc(n,e);throw new Error("Unknown fused activation "+t+".")}var Xs=function(n,t){var e=n>0;return!e||t==="linear"};function zC(n){var t=n.x,e=n.filter,i=n.strides,r=n.pad,a=n.dataFormat,s=a===void 0?"NHWC":a,o=n.dilations,l=o===void 0?[1,1]:o,u=n.dimRoundingMode,c=n.bias,h=n.activation,d=h===void 0?"linear":h,p=n.preluActivationWeights;if(d=d||"linear",Xs(z.state.gradientDepth,d)===!1){var f=xr(t,e,i,r,s,l,u);return c!=null&&(f=fe(f,c)),$s(f,d,p)}var m=O(t,"x","conv2d"),g=O(e,"filter","conv2d"),v=m,b=!1;m.rank===3&&(b=!0,v=V(m,[1,m.shape[0],m.shape[1],m.shape[2]])),E(v.rank===4,function(){return"Error in fused conv2d: input must be rank 4, but got rank "+(v.rank+".")}),E(g.rank===4,function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+(g.rank+".")}),u!=null&&E(it(r),function(){return"Error in fused conv2d: pad must be an integer when using, "+("dimRoundingMode "+u+" but got pad "+r+".")}),E(v.shape[3]===g.shape[2],function(){return"Error in conv2d: depth of input ("+v.shape[3]+") 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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,[x,b,g]):V(f,[x,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=Ks(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=js(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=Cn(function(q,G,Z){var X=z.runKernelFunc(P,H,null,Wu,_);return Z([q,G,X]),{value:V(X,C),gradFunc:F}});return K(R,D)}else{var j=Cn(function(q,G,Z,X){var ee=z.runKernelFunc(P,H,null,Wu,_);return 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t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);pt(function(){var a=ge(1,i.accBeta1),s=Ie(-i.learningRate,fe(J(i.iteration,i.decay),1));r.forEach(function(o,l){var u=z.registeredVariables[o],c=!1;i.accumulatedFirstMoment[l]==null&&(i.accumulatedFirstMoment[l]={originalName:o+"/m",variable:Ee(u).variable(c)}),i.accumulatedWeightedInfNorm[l]==null&&(i.accumulatedWeightedInfNorm[l]={originalName:o+"/v",variable:Ee(u).variable(c)});var h=Array.isArray(e)?e[l].tensor:e[o];if(h==null)return;var d=i.accumulatedFirstMoment[l].variable,p=i.accumulatedWeightedInfNorm[l].variable,f=fe(J(d,i.beta1),J(h,1-i.beta1)),m=J(p,i.beta2),g=Mt(h),v=Rr(m,g);d.assign(f),p.assign(v);var 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e(i.learningRate,i.beta1,i.beta2,i.epsilon,i.decay)},t.className="Adamax",t}(li);ai($c);var Js=function(n){Pn(t,n);function t(e){var i=n.call(this)||this;return i.learningRate=e,i.setLearningRate(e),i}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=Array.isArray(e)?e[s].tensor:e[a];if(o==null)return;var l=z.registeredVariables[a];pt(function(){var u=fe(J(i.c,o),l);l.assign(u)})}),this.incrementIterations()},t.prototype.setLearningRate=function(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Rm(be(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()]]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){return pe(this,function(i){switch(i.label){case 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")+("Input "+p+" (0-based) originates ")+("from layer type "+l.getClassName()+"."));i.inputNames.push(l.name),i.feedInputShapes.push(l.batchInputShape),i.feedInputNames.push(l.name)}for(var f=0,m=i.outputLayers;f<m.length;f++){var l=m[f];i.outputNames.push(l.name)}i.internalInputShapes=i.inputs.map(function(Ce){return Ce.shape}),i.internalOutputShapes=i.outputs.map(function(Ce){return Ce.shape});for(var g={},v={},b={},w={},S={},L=[],x=function(Ce,Et,dt,nt,nn,ls){(nt==null||nn==null||ls==null)&&(nt=Ce.sourceLayer,nn=Ce.nodeIndex,ls=Ce.tensorIndex);var kt=nt.inboundNodes[nn];if(dt.indexOf(kt)!==-1)throw new Rn("The tensor "+Ce.name+' at layer "'+nt.name+'" is part of a cycle.');if(Et.indexOf(kt)!==-1)return;i.containerNodes.add(t.nodeKey(nt,nn)),nt.id in S||(S[nt.id]=Object.keys(S).length),dt.indexOf(kt)===-1&&dt.push(kt);for(var hI=kt.inboundLayers.length,fr=0;fr<hI;fr++){var dI=kt.inputTensors[fr],pI=kt.inboundLayers[fr],fI=kt.nodeIndices[fr],mI=kt.tensorIndices[fr];x(dI,Et,dt,pI,fI,mI)}for(Et.push(kt);dt.indexOf(kt)>=0;)dt.splice(dt.indexOf(kt),1);L.push(kt)},C=[],R=[],D=0,k=i.outputs;D<k.length;D++){var o=k[D];x(o,C,R)}for(var W=L.slice().reverse(),F=0,P=W;F<P.length;F++){var H=P[F];v[H.id]=H,H.id in g||(g[H.id]=0);var _=g[H.id],K=b[H.outboundLayer.id]==null?0:b[H.outboundLayer.id];_=Math.max(_,K),b[H.outboundLayer.id]=_,w[H.outboundLayer.id]=H.outboundLayer,g[H.id]=_;for(var p=0;p<H.inboundLayers.length;p++){var j=H.inboundLayers[p],u=H.nodeIndices[p],q=j.inboundNodes[u],G=g[q.id]==null?0:g[q.id];g[q.id]=Math.max(_+1,G),v[q.id]=q}}var Z={};for(var X in g){var _=g[X];_ in Z||(Z[_]=[]),Z[_].push(v[X])}var ee={};for(var ne in b){var _=b[ne];_ in ee||(ee[_]=[]),ee[_].push(w[ne])}var ie=Object.keys(ee).map(function(Ce){return parseInt(Ce,10)}).sort(Zs);i.layers=[];for(var te=0,re=ie;te<re.length;te++){var _=re[te],le=ee[_];le.sort(function(Et,dt){var nt=S[Et.id],nn=S[dt.id];return nt<nn?-1:nt>nn?1:0});for(var he=0,ye=le;he<ye.length;he++){var l=ye[he];l instanceof t&&i.internalContainerRefs.push(l),i.layers.push(l)}}i.layersByDepth=ee,ie=Object.keys(Z).map(function(Ce){return parseInt(Ce,10)}).sort(Zs);for(var Oe=i.inputs.slice(),ke=[],Pe=0,_e=ie;Pe<_e.length;Pe++)for(var _=_e[Pe],ct=0,wt=Z[_];ct<wt.length;ct++){var H=wt[ct],l=H.outboundLayer;if(l!=null){for(var qe=0,We=H.inputTensors;qe<We.length;qe++){var o=We[qe];if(Oe.indexOf(o)===-1)throw new Rn("Graph disconnected: cannot obtain value for tensor "+o+(' at layer "'+l.name+'". ')+"The following previous layers were accessed without "+("issue: "+ke))}for(var me=0,Ot=H.outputTensors;me<Ot.length;me++){var o=Ot[me];Oe.push(o)}ke.push(l.name)}}i.nodesByDepth=Z;for(var ot=i.layers.map(function(Ce){return Ce.name}),ht=function(Ce){var Et=ot.filter(function(dt){return dt===Ce}).length;if(Et!==1)throw new Rn('The name "'+Ce+'" is used '+Et+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ot))},Ln=0,Ct=ot;Ln<Ct.length;Ln++){var St=Ct[Ln];ht(St)}return i.outboundNodes=[],i.inboundNodes=[],new ao({outboundLayer:i,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:i.inputs,outputTensors:i.outputs,inputMasks:i.inputs.map(function(Ce){return null}),outputMasks:i.outputs.map(function(Ce){return null}),inputShapes:i.inputs.map(function(Ce){return Ce.shape}),outputShapes:i.outputs.map(function(Ce){return Ce.shape})}),i.built=!0,i._refCount=1,i}return t.prototype.assertNotDisposed=function(){if(this._refCount===0)throw new Error("Container '"+this.name+"' is already disposed.")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(var i=0,r=this.layers;i<r.length;i++){var a=r[i];e.numDisposedVariables+=a.dispose().numDisposedVariables}for(var s=0,o=this.internalContainerRefs;s<o.length;s++){var l=o[s];e.numDisposedVariables+=l.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(e){this.layers.forEach(function(i){i._trainableWeights.forEach(function(r){return r.trainable=e})}),this.trainable_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new M("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e=[],i=0,r=this.layers;i<r.length;i++){var a=r[i];e=e.concat(a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],i=0,r=this.layers;i<r.length;i++){var a=r[i];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,l=this.layers;o<l.length;o++){var a=l[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,i){i===void 0&&(i=!0);for(var r={},a=0,s=0,o=this.layers;s<o.length;s++)for(var l=o[s],u=0,c=l.weights;u<c.length;u++){var h=c[u];if(r[h.originalName]!=null)throw new M("Duplicate weight name: "+h.originalName);r[h.originalName]=h,a++}var d=[];for(var p in e){var f=p;if(r[p]==null){var m=p.split("/"),g=m.slice(0,-2).concat([m[m.length-1]]);f=g.join("/")}if(r[f]!=null)d.push([r[f],e[p]]);else if(i)throw new M("Provided weight data has no target variable: "+p);delete r[f]}if(i){var v=[];for(var b in r)v.push(b);if(v.length>0)throw new M(v.length+" of "+a+" weights are not set: "+(""+v))}yh(d)},t.prototype.updatedConfig=function(){var e=this.getConfig(),i={};return i.className=this.getClassName(),i.config=e,i.kerasVersion="tfjs-layers "+Nh,i.backend="TensorFlow.js",i},t.prototype.toJSON=function(e,i){i===void 0&&(i=!0);var r=Th(this.updatedConfig());return i?JSON.stringify(r):r},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=Xe(e);for(var a=new Mr,s=0;s<r.inputs.length;++s)a.add(r.inputs[s],e[s]);return Pa(r.outputs,a,i)})},t.prototype.computeMask=function(e,i){var r=this;return y.tidy(function(){e=Xe(e);var a;return i==null?a=Yi(null,e.length):a=Xe(i),r.runInternalGraph(e,a)[1]})},t.prototype.computeOutputShape=function(e){var i=io(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(Zs);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,x=r[l];v.push(x)}for(var C=s.computeOutputShape(Bt(v)),R=io(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];On(F in r),k.push(r[F])}return Bt(k)},t.prototype.runInternalGraph=function(e,i){i==null&&(i=Yi(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(Zs),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,x=b;L<x.length;L++){var s=x[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];On(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 x={};x.name=o.name,x.className=l,x.config=u,x.inboundNodes=c,r.push(x)}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(Bt(X),ee)}function c(G){var Z=G.name,X=mn(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(;!FD(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 x=L[S];u(b,x)}}}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];On(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];On(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 a3(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 uy(n,t){return a3(n,t,"classWeight")}function cy(n,t,e,i){return Le(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 s3(n,t){return y.mul(n,t)}var o3=32;function dy(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=hy("input",n.inputNames,e),s=hy("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 hy(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 l3(n){if(n.length===3)throw new Te("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}function c3(n,t,e){return Le(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,x,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()`. 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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?(x=dy(n,L.value),C=x.xs,R=x.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=uy(e.classWeight,n.outputNames),F=0,X.label=10;case 10:return F<W.length?(H=(P=k).push,[4,cy(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(),Gv(D),S++,w++,X.label=15;case 15:return(i?w>=e.batchesPerEpoch:L.done)?r?(G=void 0,py(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?o3: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 u3(n,t){var e=null;return t.batchesPerEpoch!=null?e=t.batchesPerEpoch:Number.isFinite(n.size)&&(e=n.size),e}function py(n){return typeof n.iterator=="function"}function h3(n){return typeof n.next=="function"}function d3(n,t,e){return Le(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))}),h3(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=dy(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 x=0;x<L.length;++x)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)},x=0;x<L.length;++x)R(x);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). ")+"You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return(i?u<e.batches:!0)?[5,c()]:[3,6];case 5:return h=f.sent(),h==="break"?[3,6]:[3,4];case 6:for(d=0;d<a.length;++d)p=a[d],a[d]=y.div(a[d],l),y.dispose(p);return[2,Bt(a)]}})})}function Ch(n){y.util.assert(n>0&&Number.isInteger(n),function(){return"batchSize is required to be a positive integer, but got "+n})}function _a(n,t,e){return n==null?[null]:Array.isArray(n)?n.map(function(i){return $i(i,t,e-t)}):$i(n,t,e-t)}function Rh(n,t){return y.tidy(function(){return n==null?null:Array.isArray(n)?n.map(function(e){return Rh(e,t)}):Rv(n,t.dtype==="int32"?t:t.toInt())})}function Oh(n,t){for(var e=[],i=0,r=null;i<n;)r=i+t,r>=n&&(r=n),e.push([i,r]),i=r;return e}function p3(n,t,e,i,r,a,s,o,l,u,c,h,d,p,f){return Le(this,void 0,void 0,function(){var m,g,v,b,w,S,L,x,C;return ve(this,function(R){switch(R.label){case 0:if(r==null&&(r=32),a==null&&(a=1),c==null&&(c=!0),d==null&&(d=0),m=!1,l!=null&&u!=null&&(m=!0),f!=null&&(m=!0,p==null))throw new M("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return g=n.checkNumSamples(e,r,p,"steps_per_epoch"),g!=null&&(v=pn(0,g)),s==null&&(s=1),b=Zv(o,s,a,d,g,p,r,m,h),w=b.callbackList,S=b.history,w.setModel(n),n.history=S,[4,w.onTrainBegin()];case 1:R.sent(),n.stopTraining_=!1,L=function(D){var k,W,F,P,H,_;return ve(this,function(K){switch(K.label){case 0:return[4,w.onEpochBegin(D)];case 1:if(K.sent(),k={},!(p!=null))return[3,2];throw new Te("stepsPerEpoch mode is not implemented yet.");case 2:if(c==="batch")throw new Te("batch shuffling is not implemneted yet");c&&y.util.shuffle(v),W=y.tensor1d(v),F=Oh(g,r),P=function(j){var q;return ve(this,function(G){switch(G.label){case 0:return q={},[4,w.onBatchBegin(j,q)];case 1:return G.sent(),y.tidy(function(){var Z=F[j][0],X=F[j][1],ee=$i(W,Z,X-Z);q.batch=j,q.size=X-Z;for(var ne=Rh(e,ee),ie=t(ne),te=0;te<i.length;++te){var re=i[te],le=ie[te];q[re]=le,y.keep(le)}if(j===F.length-1&&m)for(var he=n.testLoop(l,u,r),te=0;te<i.length;++te){var re=i[te],le=he[te];y.keep(le),k["val_"+re]=le}}),[4,w.onBatchEnd(j,q)];case 2:return G.sent(),Gv(q),n.stopTraining_?[2,"break"]:[2]}})},H=0,K.label=3;case 3:return H<F.length?[5,P(H)]:[3,6];case 4:if(_=K.sent(),_==="break")return[3,6];K.label=5;case 5:return++H,[3,3];case 6:W.dispose(),K.label=7;case 7:return[4,w.onEpochEnd(D,k)];case 8:return K.sent(),n.stopTraining_?[2,"break"]:[2]}})},x=d,R.label=2;case 2:return x<a?[5,L(x)]:[3,5];case 3:if(C=R.sent(),C==="break")return[3,5];R.label=4;case 4:return++x,[3,2];case 5:return[4,w.onTrainEnd()];case 6:return R.sent(),[4,n.history.syncData()];case 7:return R.sent(),[2,n.history]}})})}function f3(n,t,e,i){return i===void 0&&(i={}),Le(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x,C,R,D,k;return ve(this,function(W){switch(W.label){case 0:if(n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,W.label=1;case 1:return W.trys.push([1,,7,8]),h=i.batchSize==null?32:i.batchSize,Ch(h),d=!1,[4,n.standardizeUserData(t,e,i.sampleWeight,i.classWeight,d,h)];case 2:if(p=W.sent(),r=p[0],a=p[1],c=p[2],f=!1,m=void 0,!(i.validationData!=null&&i.validationData.length>0))return[3,4];if(f=!0,i.validationData.length===2)s=i.validationData[0],o=i.validationData[1];else throw i.validationData.length===3?new Te("validationData including sample weights is not supported yet."):new M("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+(i.validationData+" is invalid."));return g=!0,[4,n.standardizeUserData(s,o,null,null,g,h)];case 3:return v=W.sent(),l=v[0],u=v[1],m=l.concat(u),[3,5];case 4:i.validationSplit!=null&&i.validationSplit>0&&i.validationSplit<1?(f=!0,b=Math.floor(r[0].shape[0]*(1-i.validationSplit)),w=r[0].shape[0],l=_a(r,b,w),r=_a(r,0,b),u=_a(a,b,w),a=_a(a,0,b),m=l.concat(u)):i.validationSteps!=null&&(f=!0),W.label=5;case 5:return S=r.concat(a).concat(c),n.checkTrainableWeightsConsistency(),L=n.makeTrainFunction(),x=n.getDedupedMetricsNames(),C=void 0,R=void 0,f?(n.makeTestFunction(),C=n.testFunction,R=x.slice().concat(x.map(function(F){return"val_"+F}))):(C=null,m=[],R=x.slice()),D=Xv(i.callbacks,i.yieldEvery),[4,p3(n,L,S,x,h,i.epochs,i.verbose,D,C,m,i.shuffle,R,i.initialEpoch,null,null)];case 6:return k=W.sent(),[2,k];case 7:return n.isTraining=!1,Ji(r,t),Ji(a,e),Ji(l,s),Ji(u,o),c!=null&&y.dispose(c),[7];case 8:return[2]}})})}function fy(n){var t=[];n instanceof y.Tensor&&(n=[n]);for(var e=0;e<n.length;++e){var i=n[e];if(i.rank===1)t.push(ka(i,1));else{if(i.rank===0)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(i)}}return t}function Ji(n,t){if(n==null)return;var e=[];if(t instanceof y.Tensor)e.push(t.id);else if(Array.isArray(t))t.forEach(function(l){return e.push(l.id)});else if(t!=null)for(var i in t){var r=t[i];e.push(r.id)}var a=[];if(n instanceof y.Tensor)e.indexOf(n.id)===-1&&a.push(n);else if(Array.isArray(n))n.forEach(function(l){e.indexOf(l.id)===-1&&a.push(l)});else if(n!=null)for(var s in n){var o=n[s];e.indexOf(o.id)===-1&&a.push(o)}a.forEach(function(l){l.isDisposed||l.dispose()})}function m3(n){return n instanceof y.Tensor}function Eh(n){return Array.isArray(n)}function my(n){return!m3(n)&&!Eh(n)}function gy(n,t,e,i,r){if(i===void 0&&(i=!0),r===void 0&&(r=""),t==null||t.length===0){if(n!=null){var a=!1;if(Eh(n)&&n.length>0)a=!0;else if(my(n)){for(var s in n)if(n.hasOwnProperty(s)){a=!0;break}}else a=!0;if(a)throw new M("Error when checking model "+r+" expected no data, "+("but got "+n))}return[]}if(n==null)return t.map(function(g){return null});var o;if(my(n)){n=n,o=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(n[c]==null)throw new M('No data provided for "'+c+'". Need data for each key in: '+(""+t));o.push(n[c])}}else if(Eh(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. Found: Tensor with shape "+n.shape));o=[n]}if(o=fy(o),e!=null)for(var h=0;h<t.length;++h){if(e[h]==null)continue;var d=o[h];if(d.shape.length!==e[h].length)throw new M("Error when checking "+r+": expected "+t[h]+" "+("to have "+e[h].length+" dimension(s). but got array with ")+("shape "+d.shape));for(var p=0;p<e[h].length;++p){if(p===0&&!i)continue;var f=d.shape[p],m=e[h][p];if(m!=null&&m>=0&&f!==m)throw new M("Error when checking "+r+": expected "+t[h]+" "+("to have shape ["+e[h]+"], but got array with shape ")+("["+d.shape+"]."))}}return o}function g3(n,t,e){var i=ci(n.map(function(a){return a.shape[0]}));i.sort();var r=ci(t.map(function(a){return a.shape[0]}));if(r.sort(),i.length>1)throw new M("All input Tensors (x) should have the same number of samples. Got array shapes: "+(""+JSON.stringify(n.map(function(a){return a.shape}))));if(r.length>1)throw new M("All target Tensors (y) should have the same number of samples. 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Build the model first (e.g., by calling it on some test data).");Qk(this,e,i,r)},t.prototype.compile=function(e){var i=this;if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=jk(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof y.Optimizer))throw new M("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var r=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(var a in e.loss)if(this.outputNames.indexOf(a)===-1)throw new M('Unknown entry in loss dictionary: "'+a+'". '+("Only expected the following keys: "+this.outputNames));for(var s=0,o=this.outputNames;s<o.length;s++){var l=o[s];e.loss[l]==null&&console.warn('Output "'+l+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+l+" during training")),r.push(wh(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 wh(v)})}else{var c=wh(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=[],ji("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=y3(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])};ji("metric",function(){for(var v=function(w){if(f.indexOf(w)!==-1)return"continue";var S=m[w],L=function(x){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]===uo?["accuracy","acc"].indexOf(_)!==-1?D=Sh:["crossentropy","ce"].indexOf(_)!==-1&&(D=ty):i.lossFunctions[w]===lo?["accuracy","acc"].indexOf(_)!==-1?D=ny:["crossentropy","ce"].indexOf(_)!==-1&&(D=iy):["accuracy","acc"].indexOf(_)!==-1?D=Lh:["crossentropy","ce"].indexOf(_)!==-1&&(D=Ih);var j=void 0;["accuracy","acc"].indexOf(_)!==-1?j="acc":["crossentropy","ce"].indexOf(_)!==-1&&(j="ce"),k=D,R=C+j}else{var q=Kk(_);k=q,R=C+po(_)}var G;ji(R,function(){G=k}),g(w,R,G)},F=0,P=x;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;Ch(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 Bt(c)}finally{Ji(o[0],e),Ji(o[1],i)}},t.prototype.evaluateDataset=function(e,i){return Le(this,void 0,void 0,function(){return ve(this,function(r){return this.makeTestFunction(),[2,d3(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 Mr;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=Pa(s,o);return r?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var i=Yi(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=Oh(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=_a(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 Mr(g);return Pa(a.outputs,b)});d.forEach(function(p,f){return l[f].push(p)})},c=0;c<o.length;++c)u(c);return Bt(l.map(function(h){return y.concat(h,0)}))})},t.prototype.predict=function(e,i){i===void 0&&(i={});var r=fy(e);vy(r,this.inputNames,this.feedInputShapes,!1);try{var a=i.batchSize==null?32:i.batchSize;return Ch(a),this.predictLoop(r,a)}finally{Ji(r,e)}},t.prototype.predictOnBatch=function(e){vy(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 Rn("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===lo?s.push(l.slice(0,l.length-1).concat([1])):s.push(l)}if(e=gy(e,this.feedInputNames,this.feedInputShapes,!1,"input"),i=gy(i,this.feedOutputNames,s,!1,"target"),g3(e,i),v3(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+". 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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=Yn(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 Yn(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]=Yn(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[Yn(po(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(r){return Yn(po(r))});var e={};for(var i in this.metrics)e[i]=Yn(po(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=za(e.optimizer_config),r=mn(i),a;if(typeof e.loss=="string")a=Ki(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(function(l){return Ki(l)});else if(e.loss!=null){a={};for(var s in e.loss)a[s]=Ki(e.loss[s])}var o;if(Array.isArray(e.metrics))o=e.metrics.map(function(l){return Ki(l)});else if(e.metrics!=null){o={};for(var s in e.metrics)o[s]=Ki(e.metrics[s])}this.compile({loss:a,metrics:o,optimizer:r})},t.prototype.save=function(e,i){return Le(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:b3,generatedBy:"TensorFlow.js tfjs-layers v"+Nh,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,ay(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){ay(e,this.name),this.userDefinedMetadata=e},t.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},t.className="Model",t}(r3);y.serialization.registerClass(fi);var w3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.className="Functional",t}(fi);y.serialization.registerClass(w3);function S3(n,t){return Le(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=za(e),r=mn(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 I3(n,t){return Le(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=A3(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 A3(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 Dh=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:no("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 fi,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=qv({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. 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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(On("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!ih(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:mi(this.activation),useBias:this.useBias,biasInitializer:at(this.biasInitializer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),biasConstraint:vt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),vo=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,It(r.filters,"filters"),r.kernelInitializer=et(i.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.kernelConstraint=yt(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=mv(r.activation.getClassName());if(o!=null&&r.rank===2)a=Oy(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate,o);else{if(r.rank===1)a=V3(e,r.kernel.read(),s,r.strides[0],r.padding,r.dataFormat,r.dilationRate[0]);else if(r.rank===2)a=Oy(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate);else if(r.rank===3)a=q3(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=gn(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:vt(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}(Ey),Uh=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"&&!ih(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}(vo);y.serialization.registerClass(Uh);var Dy=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}(vo);y.serialization.registerClass(Dy);var ky=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.inputSpec=[new At({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 At({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=go(c,f,d,r.padding),v=go(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=Dn(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]=go(i[a],u,o,this.padding),i[s]=go(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}(Uh);y.serialization.registerClass(ky);var G3=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=yt(i.depthwiseConstraint),r.pointwiseInitializer=et(i.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=tt(i.pointwiseRegularizer),r.pointwiseConstraint=yt(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 At({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=Dn(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=vt(this.depthwiseConstraint),e.pointwiseConstraint=vt(this.pointwiseConstraint),e},t.className="SeparableConv",t}(vo),Fy=function(n){Q(t,n);function t(e){return n.call(this,2,e)||this}return t.className="SeparableConv2D",t}(G3);y.serialization.registerClass(Fy);var Wy=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"&&!ih(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}(vo);y.serialization.registerClass(Wy);var Uy=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=Qs(e,r.cropping[0][0],e.shape[1]-r.cropping[0][0]-r.cropping[0][1],2);return Qs(a,r.cropping[1][0],e.shape[2]-r.cropping[1][1]-r.cropping[1][0],3)}else{var a=Qs(e,r.cropping[0][0],e.shape[2]-r.cropping[0][0]-r.cropping[0][1],3);return Qs(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(Uy);var By=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(By);function Y3(n,t,e,i,r,a){return e===void 0&&(e=[1,1]),i===void 0&&(i="valid"),y.tidy(function(){r==null&&(r=dn()),ut(r);var s=Wh(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 zy=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=yt(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=Y3(e,r.depthwiseKernel.read(),r.strides,r.padding,r.dataFormat,null);return r.useBias&&(a=Dn(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=gn(i,this.kernelSize[0],this.padding,this.strides[0]),o=gn(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=vt(this.depthwiseRegularizer),e},t.className="DepthwiseConv2D",t}(Ey);y.serialization.registerClass(zy);function Py(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 _y(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(pn(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],x=y.tidy(function(){return n(L,d)});if(r==null)h=x[0],d=x[1];else{var C=y.tidy(function(){var R=m[S],D=y.onesLike(R).sub(R),k=x[0].mul(R).add(d[0].mul(D)),W=d.map(function(F,P){return x[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 vi=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 Bh({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 At({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 pn(0,e).map(function(i){return null})}else return this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){gh(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.");gh(e)&&(e=e[0]),e=e;var i=this.stateful?e[0]:null,r=e.slice(2);this.inputSpec[0]=new At({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 At({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 ui("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=Py(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 At({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 fn;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=_y(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=ka(r),Array.isArray(i.cell.stateSize)?i.cell.stateSize.map(function(a){return a>1?ah(r,[1,a]):r}):i.cell.stateSize>1?[ah(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}),Ht({},r,e,i)},t.fromConfig=function(e,i,r){r===void 0&&(r={});var a=i.cell,s=mn(a,r);return new e(Object.assign(i,{cell:s}))},t.className="RNN",t}(De);y.serialization.registerClass(vi);var Vr=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(De),zh=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,It(i.units,"units"),i.activation=gi(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=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,di([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,di([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=yi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:s})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=yi({ones:function(){return y.onesLike(a)},rate:r.recurrentDropout,training:s}));var o,l=r.dropoutMask,u=r.recurrentDropoutMask;l!=null?o=En(y.mul(e,l),r.kernel.read()):o=En(e,r.kernel.read()),r.bias!=null&&(o=Dn(o,r.bias.read())),u!=null&&(a=y.mul(a,u));var c=y.add(o,En(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:mi(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:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Ht({},e,i)},t.className="SimpleRNNCell",t}(Vr);y.serialization.registerClass(zh);var My=function(n){Q(t,n);function t(e){var i=this;return e.cell=new zh(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}(vi);y.serialization.registerClass(My);var Ph=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,It(i.units,"units"),i.activation=gi(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=gi(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=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,di([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,di([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=yi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:3})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=yi({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=En(e,r.kernel.read());r.useBias&&(d=Dn(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=En(s,m),b=y.split(d,3,d.rank-1),w=b[0],S=b[1],L=b[2],x=y.split(v,2,v.rank-1),C=x[0],R=x[1];u=r.recurrentActivation.apply(y.add(w,C)),c=r.recurrentActivation.apply(y.add(S,R));var D=En(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:mi(this.activation),recurrentActivation:mi(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:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Ht({},e,i)},t.className="GRUCell",t}(Vr);y.serialization.registerClass(Ph);var Hy=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 Ph(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}(vi);y.serialization.registerClass(Hy);var yo=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,It(i.units,"units"),i.activation=gi(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=gi(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=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,di([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,di([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 uh().apply([o]),f=s.apply([o*2]);return Cv(Cv(d,p),f)},u}(sn),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=yi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:4})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=yi({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=En(e,r.kernel.read());0<r.recurrentDropout&&r.recurrentDropout<1&&(s=y.mul(s,u[0])),f=y.add(f,En(s,r.recurrentKernel.read())),r.useBias&&(f=Dn(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:mi(this.activation),recurrentActivation:mi(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:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Ht({},e,i)},t.className="LSTMCell",t}(Vr);y.serialization.registerClass(yo);var Vy=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 yo(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}(vi);y.serialization.registerClass(Vy);var Bh=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){gh(e)&&(e=e[0]),e=e;var i;this.cells.forEach(function(r,a){ji("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 Ht({},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(mn(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 vh(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]]);yh(i)},t.className="StackedRNNCells",t}(Vr);y.serialization.registerClass(Bh);function yi(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 Ov(t(),e)},l=function(){return Wa(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 rH=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(Vr),K3=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 At({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 ui("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=gn(h,s[0],o,l[0],u[0]),f=gn(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}(vi),_h=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,Ht({},e,{units:r}))||this,i.filters=r,It(i.filters,"filters"),i.kernelSize=Hr(a,2,"kernelSize"),i.kernelSize.forEach(function(c){return It(c,"kernelSize")}),i.strides=Hr(s||1,2,"strides"),i.strides.forEach(function(c){return It(c,"strides")}),i.padding=o||"valid",Qt(i.padding),i.dataFormat=l||"channelsLast",ut(i.dataFormat),i.dilationRate=Hr(u||1,2,"dilationRate"),i.dilationRate.forEach(function(c){return It(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 oh([g,v,b])},p}(sn),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=yi({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=yi({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,x=y.split(r.kernel.read(),u,L),C=x[0],R=x[1],D=x[2],k=x[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=ED(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Ht({},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?Dn(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}(yo);y.serialization.registerClass(_h);var qy=function(n){Q(t,n);function t(e){var i=this,r=new _h(e);return i=n.call(this,Ht({},e,{cell:r}))||this,i}return t.fromConfig=function(e,i){return new e(i)},t.className="ConvLSTM2D",t}(K3);y.serialization.registerClass(qy);var Mh=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=Wa(function(){return Ov(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(Mh);var Gy=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}(Mh);y.serialization.registerClass(Gy);var Yy=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,It(i.units,"units"),i.activation=gi(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=yt(e.kernelConstraint),i.biasConstraint=yt(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=mv(r.activation.getClassName()),o;return s!=null?o=En(a,r.kernel.read(),s,r.bias?r.bias.read():null):(o=En(a,r.kernel.read()),r.bias!=null&&(o=Dn(o,r.bias.read())),r.activation!=null&&(o=r.activation.apply(o))),o})},t.prototype.getConfig=function(){var e={units:this.units,activation:mi(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:vt(this.kernelConstraint),biasConstraint:vt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Dense",t}(De);y.serialization.registerClass(Yy);var Ky=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)+"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],hi(e,1)]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);if(r.dataFormat==="channelsFirst"&&a.rank>1){for(var s=[0],o=2;o<a.rank;++o)s.push(o);s.push(1),a=a.transpose(s)}return XD(a)})},t.prototype.getConfig=function(){var e={};this.dataFormat!=null&&(e.dataFormat=this.dataFormat);var i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Flatten",t}(De);y.serialization.registerClass(Ky);var jy=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.activation=gi(e.activation),i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);return r.activation.apply(a)})},t.prototype.getConfig=function(){var e={activation:mi(this.activation)},i=n.prototype.getConfig.call(this);return 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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}(Zi);y.serialization.registerClass(ab);function Ma(n,t){for(;n<0;)n+=t;return n}function j3(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 sb=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 Ma(s,e[o].shape.length)}):a=[Ma(this.axes,i.shape.length),Ma(this.axes,r.shape.length)],this.normalize&&(i=so(i,a[0]),r=so(r,a[1])),j3(i,r,a)},t.prototype.interpretAxes=function(e,i){var r;return Array.isArray(this.axes)?r=this.axes:r=[Ma(this.axes,e.length),Ma(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}(Zi);y.serialization.registerClass(sb);var ob=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 eo(a.shape,0,r.stddev).add(a)},o=Wa(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=Da(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 Wa(s,function(){return xe(e)},i.training||!1)}return e})},t.className="AlphaDropout",t}(De);y.serialization.registerClass(ub);function Ha(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 $3(n,t,e,i,r){return r===void 0&&(r=.001),y.tidy(function(){var 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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=yt(e.betaConstraint),i.gammaConstraint=yt(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 At({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=pn(0,l),c=r.axis>=0?r.axis:r.axis+l;u.splice(c,1);var h=Yi(1,l);h[c]=o[c];var d=u.slice();d.sort();var p=!y.util.arraysEqual(d,pn(0,l).slice(0,l-1)),f=function(){if(p){var L=r.movingMean.read().reshape(h),x=r.movingVariance.read().reshape(h),C=r.center?r.beta.read().reshape(h):null,R=r.scale?r.gamma.read().reshape(h):null;return Ha(s,L,x,C,R,r.epsilon)}else return Ha(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=J3(s,r.gamma.read(),r.beta.read(),u,r.epsilon),g=m[0],v=m[1],b=m[2],w=function(L,x,C){y.tidy(function(){var R=1-C,D=L.read(),k=D.sub(x).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:vt(this.betaConstraint),gammaConstraint:vt(this.gammaConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="BatchNormalization",t}(De);y.serialization.registerClass(cb);var hb=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!==ci(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=Yi(1,o),p=0,f=r.axis;p<f.length;p++){var m=f[p];d[m]=s[m]}for(var g=function(x){return x!=null&&x.shape.length!==o&&r.axis!==[o-1]?x.reshape(d):x},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),Ha(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(hb);function Z3(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=dn()),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 db=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?dn():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(){ut(r),Lv(a),Qt(i),e==null&&(e=[1,1]),i==null&&(i="valid"),r==null&&(r=dn()),a==null&&(a="max"),n=Wh(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 pb(n,t,e,i,r,a){return y.tidy(function(){ut(r),Lv(a),Qt(i),e==null&&(e=[1,1,1]),i==null&&(i="valid"),r==null&&(r=dn()),a==null&&(a="max"),n=Ry(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 fb=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(It(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 It(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,Qt(i.padding),i.inputSpec=[new At({ndim:3})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=gn(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=ka(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),mb=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 ut(s),Qt(a),bo(e,i,r,a,s,"max")},t.className="MaxPooling1D",t}(fb);y.serialization.registerClass(mb);var gb=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 ut(s),Qt(a),bo(e,i,r,a,s,"avg")},t.className="AveragePooling1D",t}(fb);y.serialization.registerClass(gb);var vb=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),yb=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 ut(s),Qt(a),bo(e,i,r,a,s,"max")},t.className="MaxPooling2D",t}(vb);y.serialization.registerClass(yb);var bb=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 ut(s),Qt(a),bo(e,i,r,a,s,"avg")},t.className="AveragePooling2D",t}(vb);y.serialization.registerClass(bb);var wb=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 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i=this.node.rawAttrs[t];if(i.tensor!=null)return zt(t,this.tensorMap,this.context);if(i.i!=null||i.f!=null)return jh(this.node.rawAttrs,t,e);if(i.s!=null)return Yh(this.node.rawAttrs,t,e);if(i.b!=null)return Kh(this.node.rawAttrs,t,e);if(i.shape!=null)return Zh(this.node.rawAttrs,t,e);if(i.type!=null)return Xh(this.node.rawAttrs,t,e);if(i.list!=null){if(i.list.i!=null||i.list.f!=null)return Qh(this.node.rawAttrs,t,e);if(i.list.s!=null)return ed(this.node.rawAttrs,t,e);if(i.list.shape!=null)return td(this.node.rawAttrs,t,e);if(i.list.b!=null)return nd(this.node.rawAttrs,t,e);if(i.list.type!=null)return Jh(this.node.rawAttrs,t,e)}return e},n}();var vW=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 yW=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(zt(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 on(n,t,e){e===void 0&&(e=""),B.util.assert(bW(n,t),function(){return e+(" Shapes "+n+" and "+t+" must match")})}function bW(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 wW=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),on(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 on(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 on(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
tensor.shape[0], but sum of lengths is
`+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 Io=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);on(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 on(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 on(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(on(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 on(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.");on(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 on(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 on(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 SW(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);on(r,t,"TensorList shape mismatch: ");var a=B.unstack(n);return new Io(a,t,i)}function LW(n,t,e){return new Io([],n,t,e)}function IW(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 Io([],e,n.dtype,i),s=B.unstack(n,0);return t.forEach(function(o,l){a.setItem(o,s[l])}),a}function AW(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
tensor.shape[0], but sum of lengths is
`+i+", and tensor's shape is: "+n.shape);for(var a=i===0?0:n.size/i,s=B.tidy(function(){var u=[];n=B.reshape(n,[1,i,a]);for(var c=0;c<t.length;++c){var h=c===0?0:r[c-1],d=[0,h,0],p=[1,t[c],a];u[c]=B.reshape(B.slice(n,d,p),e)}return n.dispose(),u}),o=new Io([],e,n.dtype,t.length),l=0;l<s.length;l++)o.setItem(l,s[l]);return o}var TW=void 0,NW=function(n,t,e){return kn(TW,void 0,void 0,function(){var i,r,a,s,o,l,u,c,o,h,d,l,p,f,m,m,g,v,g,b,g,g,g,w,S,L,x,C,R,D,k,W,F,P,H,_,K,j,q,G,Z,X,ee,ne,ie,te,re,le,he,ye,Oe,ke,Pe,_e,ct,wt,qe,We,F,P,me,We,K,L,Ot,me,ne,ie,L,ot,me,L,ht,ot,me,q,G,L,ht,me,We,L,ht,ot,me,Ln,L,ht,me,re,me,he,L,We,P,me,We,L,Ot,me,Oe,L,ke,me;return vn(this,function(Ct){switch(Ct.label){case 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=Ct.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=Ct.sent(),d=o.map(function(St){return St.id}),[4,h[0].data()];case 5:l=Ct.sent(),h.forEach(function(St){!St.kept&&d.indexOf(St.id)===-1&&St.dispose()}),p=o,f=function(){var St,Ce,Et;return vn(this,function(dt){switch(dt.label){case 0:return St=p,[4,e.functionMap[u].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 1:return p=dt.sent(),Ce=p.map(function(nt){return nt.id}),St.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 Et=dt.sent(),[4,Et[0].data()];case 3:return l=dt.sent(),Et.forEach(function(nt){!nt.kept&&d.indexOf(nt.id)===-1&&Ce.indexOf(nt.id)===-1&&nt.dispose()}),[2]}})},Ct.label=6;case 6:return l[0]?[5,f()]:[3,8];case 7:return Ct.sent(),[3,6];case 8:return[2,p];case 9:return m=A("pred",n,t,e),[2,[jn(m)]];case 10:return m=A("pred",n,t,e),g=A("data",n,t,e),g.kept||(g=jn(g)),[4,m.data()];case 11:return[2,Ct.sent()[0]?[void 0,g]:[g,void 0]];case 12:return v=n.inputNames.find(function(St){return zt(St,t,e)!==void 0}),v?(g=zt(v,t,e),[2,[jn(g)]]):[2,void 0];case 13:return b=A("frameName",n,t,e),g=A("tensor",n,t,e),e.enterFrame(b),[2,[jn(g)]];case 14:return g=A("tensor",n,t,e),e.exitFrame(),[2,[jn(g)]];case 15:return g=A("tensor",n,t,e),e.nextIteration(),[2,[jn(g)]];case 16:return w=A("size",n,t,e),S=A("dtype",n,t,e),L=A("elementShape",n,t,e),x=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 wW(D,S,w,L,R,x,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),ct=e.getTensorArray(_e.id),[2,[B.scalar(ct.size(),"int32")]];case 24:return wt=A("tensorArrayId",n,t,e),qe=e.getTensorArray(wt.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),Ot=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.getItem(K,L,Ot)]];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=IW(ie,ne,L,ot),e.addTensorList(me),[2,[me.idTensor]];case 28:return L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=LW(L,ht,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),ht=A("elementDType",n,t,e),me=e.getTensorList(q.id),[2,[me.gather(G,ht,L)]];case 30:return We=A("tensorListId",n,t,e),L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=e.getTensorList(We.id),[2,[me.stack(L,ht,ot)]];case 31:return Ln=A("tensor",n,t,e),L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),me=SW(Ln,L,ht),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),Ot=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.popBack(L,Ot)]];case 35:return Oe=A("tensor",n,t,e),L=A("elementShape",n,t,e),ke=A("lengths",n,t,e),me=AW(Oe,ke,L),e.addTensorList(me),[2,[me.idTensor]];case 36:throw TypeError("Node type "+n.op+" is not implemented")}})})};function Kb(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=Lo(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 xW=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=Lo(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=Kb(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=Kb(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=Lo(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=Lo(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],x=o[1],C=o[2];return[B.dilation2d(A("x",n,t,e),A("filter",n,t,e),[S,L],r,[x,C],"NHWC")]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var CW=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 RW=void 0;function id(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 OW=function(n,t,e){return kn(RW,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 vn(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=id(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=id(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=id(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 EW=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 DW=function(n,t,e){switch(n.op){case"Const":return t[n.name];case"PlaceholderWithDefault":var i=A("default",n,t,e);return[zt(n.name,t,e)||i];case"Placeholder":return[zt(n.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var r=A("x",n,t,e);return[jn(r)]}case"IdentityN":return A("x",n,t,e).map(function(h){return jn(h)});case"Snapshot":var a=A("x",n,t,e);return[jn(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 kW=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 FW=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 WW=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 UW=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 BW=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 zW=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 x=A("x",n,t,e),o=A("indices",n,t,e);return[B.gatherND(x,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 PW=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 _W=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 jb(n,t,e){var i=function(r,a,s){switch(r.category){case"arithmetic":return B.tidy(function(){return vW(r,a,s)});case"basic_math":return B.tidy(function(){return yW(r,a,s)});case"control":return NW(r,a,s);case"convolution":return B.tidy(function(){return xW(r,a,s)});case"creation":return B.tidy(function(){return CW(r,a,s)});case"dynamic":return OW(r,a,s);case"evaluation":return B.tidy(function(){return EW(r,a,s)});case"image":return B.tidy(function(){return kW(r,a,s)});case"graph":return B.tidy(function(){return DW(r,a,s)});case"logical":return B.tidy(function(){return FW(r,a,s)});case"matrices":return B.tidy(function(){return WW(r,a,s)});case"normalization":return B.tidy(function(){return UW(r,a,s)});case"reduction":return B.tidy(function(){return BW(r,a,s)});case"slice_join":return B.tidy(function(){return zW(r,a,s)});case"spectral":return B.tidy(function(){return PW(r,a,s)});case"transformation":return B.tidy(function(){return _W(r,a,s)});case"custom":var o=Hb(r.op);if(o&&o.customExecutor)return o.customExecutor(new gW(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 $b=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 Jb(n,t,e,i){var r=new Set,a=[],s=null,o=null,l=new Set,u=Object.keys(n).map(function(p){return Gt(p)[0]}),c=[];i!=null&&(c=i.map(function(p){return Gt(p.name)[0]}));for(var h=t.slice();h.length>0;){var d=h.pop();if((Xb(d)||MW(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 HW(n,t,e){var i=e.usedNodes,r=e.inputs,a=[],s=Object.keys(r).map(function(h){return Gt(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 VW=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],qW=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function Xb(n){return VW.indexOf(n.op)>=0}function MW(n){return qW.indexOf(n.op)>=0}var Zb=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=Jb(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 HW(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[Gt(d)[0]]}),s=e.map(function(d){return Gt(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 $b(i.weightMap,c,h,i.functionExecutorMap),p=_b({},i.weightMap);Object.keys(t).forEach(function(w){var S=Gt(w),L=S[0],x=S[1],C=[];C[x]=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=jb(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 zt(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=UF(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 kn(this,void 0,void 0,function(){return vn(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={}),kn(this,void 0,void 0,function(){var s,o,l,u,c,h;return vn(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 $b(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 zt(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 kn(this,void 0,void 0,function(){var r,a=this;return vn(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 kn(this,void 0,void 0,function(){var a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x=this;return vn(this,function(C){switch(C.label){case 0:a=Object.keys(t),s=a.map(function(R){return x.graph.nodes[Gt(R)[0]]}),o=i.map(function(R){return Gt(R)[0]}),l=o.map(function(R){return x.graph.nodes[R]}),u=Jb(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=_b({},this.weightMap),Object.keys(t).forEach(function(R){var D=Gt(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!Xb(R)&&!zt(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=Kn(o.name,i)[0];if(a[l]||!s.has(o.name))return;o.op==="Merge"?o.inputNames.some(function(u){return!!zt(u,r,i)})&&(a[l]=!0,e.push({contexts:i.currentContext,node:o})):o.inputNames.every(function(u){return!!zt(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=Gt(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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"+("Mismatched at element "+this.count+"."));case bi.SHORTEST:return[2,{value:null,done:!0}];case bi.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}(Tt),cw=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 sw(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}(Tt),LU=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=nw(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}(cw);var Va=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=nw(e||Ne.util.now().toString());return Yt(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,Yt(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 Yt(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}(Va))}function AU(n){var t=this;return Yt(function(){return se(t,void 0,void 0,function(){return oe(this,function(e){return[2,ow(n)]})})},n.length)}function TU(n){var t=this;if(!Gr(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 Yt(function(){return se(t,void 0,void 0,function(){var a;return oe(this,function(s){switch(s.label){case 0:return[4,aw(n,function(o){if(o instanceof Va)return{value:o.iterator(),recurse:!1};if(Gr(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,pU(a,bi.SHORTEST)]}})})},e)}function IU(n){if(n===null)return null;var t=n[0];if(aU(t)){var e=NU(n);return{value:e,recurse:!1}}return{value:null,recurse:!0}}function NU(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 hw=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}(Va);var To='"',qa=Symbol("out"),dw=Symbol("field"),No=Symbol("quote"),od=Symbol("quoteafterquote"),pw=Symbol("quoteinquote"),fw=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 hw(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=qa,l=0;l<s;l++)switch(o){case qa:switch(e.charAt(l)){case To:a=l+1,o=No;break;case this.delimiter:if(a=l+1,this.delimiter===" "&&this.delimWhitespace)break;r.push(""),o=qa;break;default:o=dw,a=l;break}break;case dw:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l)),o=qa,a=l+1;break}break;case No:switch(e.charAt(l)){case To:o=od;break}break;case od:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l-1)),o=qa,a=l+1;break;case To:o=No;break;default:o=pw;break}break;case pw:switch(e.charAt(l)){case To:o=No;break}break}if(o===od?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}(Va);var xU=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}(Tt);var CU=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+". 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============================
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r>a?1:0})},t.prototype.greaterEqual=function(e,i){return ae([e,i],"greaterEqual"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r>=a?1:0})},t.prototype.logicalAnd=function(e,i){return ae([e,i],"logicalAnd"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r&&a})},t.prototype.logicalOr=function(e,i){return ae([e,i],"logicalOr"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r||a})},t.prototype.select=function(e,i,r){ae([e,i,r],"select");for(var a=this.readSync(e.dataId),s=this.readSync(i.dataId),o=this.readSync(r.dataId),l=T.zeros(i.shape,T.upcastType(i.dtype,r.dtype)),u=this.readSync(l.dataId),c=0,h=e.rank===0||e.rank>1||i.rank===1?1:T.util.sizeFromShape(i.shape.slice(1)),d=0;d<a.length;d++)for(var p=0;p<h;p++)a[d]===1?u[c++]=s[d]:u[c++]=o[d];return l},t.prototype.where=function(e){ae([e],"where");var i=this.readSync(e.dataId);return eB(e.shape,i)},t.prototype.topk=function(e,i,r){ae(e,"topk");var a=this.readSync(e.dataId);return 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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=md(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),x=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*x[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 x=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=x+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,x=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/x)),te=Math.min(S,(f+ne)/x),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*x-ne,_e=he;_e<ye;++_e)for(var ct=_e*C-le,wt=K*Z+j*ke+q*_e,qe=c*(f-1-Pe)+h*(m-1-ct)+d*X,We=0;We<w;++We){var me=o[wt+G*We],Ot=l[qe+We];Oe+=me*Ot}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],x=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,ct=Math.max(0,Math.ceil(_e/X)),wt=Math.min(q,(k+_e)/X),qe=0;qe<_;++qe){for(var We=qe-te,me=Math.max(0,Math.ceil(We/ee)),Ot=Math.min(G,(W+We)/ee),ot=0,ht=Oe;ht<ke;++ht)for(var Ln=ht*Z-ye,Ct=ct;Ct<wt;++Ct)for(var St=Ct*X-_e,Ce=me;Ce<Ot;++Ce)for(var Et=Ce*ee-We,dt=f*re+m*ht+g*Ct+v*Ce,nt=S*(D-1-Ln)+L*(k-1-St)+x*(W-1-Et)+C*le,nn=0;nn<K;++nn){var ls=d[dt+nn],kt=b[nt+nn];ot+=ls*kt}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 x=0;x<r.outChannels;++x){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,x):C+=p.get(R,L,k,F)*f.get(R,x,D,W)}c.set(C,m,b,L,x)}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],x=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 ct=_e*k,wt=_e*S,qe=q;qe<G;++qe)for(var We=j+qe*a-H,me=We*W+ct,Ot=qe*L+wt,ot=ee;ot<ne;++ot)for(var ht=X+ot*s-K,Ln=ht*F+me,Ct=ot*x+Ot,St=re;St<le;++St){var Ce=te+St*o-_,Et=Ce*P+Ln,dt=St*C+Ct;Pe+=R[Et+ye]*b[dt+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=md(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,x=0;x<a;++x){var C=L+x*o;if(C<0||C>=r.inHeight)continue;for(var R=x*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,x=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=x-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,(x+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,ct=p*G+f*Oe+m*Pe,wt=b*(x-1-ke)+w*(C-1-_e)+S*Z,qe=0;qe<q;++qe){var We=Z*q+qe,me=h[ct+We],Ot=g[wt+qe];ye+=me*Ot}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 x=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,x)*f.get(D,k,F,L)}u.set(R,m,b,x,C)}return u.toTensor()},t.prototype.tile=function(e,i){return ae(e,"tile"),ZU(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],x=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*x,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 ct=Pe+_e*e.strides[2],wt=te;wt<re;wt+=c){var qe=ct+wt*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),x=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=x.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,x=L;x<0;)x+=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=x;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),x=0;x<a.batchSize;++x)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(x,K,q,Z,C),ee=_*f*m+j*m+G,ne=X===ee?1:0;if(ne===0)continue;var ie=L.get(x,K,q,Z,C);H+=ie*ne}}}w.set(H,x,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),x=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)*x;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],x=0;x<h;x++)for(var C=x*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,x=Math.min(l-1,a?Math.round(L):Math.floor(L)),C=w+x*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,x=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(_-x/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<x;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=jU.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 XU(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,x=(b*i+L)*h,C=0;C<h;++C){var R=C+x,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 x=m.locToIndex(L);d[v]=a(l[S],u[x])},p=0;p<d.length;++p)g(p);return o.toTensor()},t.prototype.split=function(e,i,r){return JU(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,x=0;x<p;x++){var C=x*4,R=v[C],D=v[C+1],k=v[C+2],W=v[C+3],F=b[x];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]+x*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]+x*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]+x*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]+x*L[0];g.values[G]=o}continue}for(var _e=Math.round(ne),ct=Math.round(K),q=0;q<d;q++){var wt=q+_e*S[2]+ct*S[1]+F*S[0],qe=q+j*L[2]+_*L[1]+x*L[0];g.values[qe]=w[wt]}}}}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 _w(n){for(var t=new Float32Array(n.length),e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}var tB=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=_w(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")},nB={kernelName:T.Abs,backendName:"cpu",kernelFunc:tB};function ir(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 x=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[x],r[R])},v=0;v<c.length;++v)b(v);return[c,s]}}function bn(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 iB={kernelName:T.Complex,backendName:"cpu",kernelFunc:bn};function Yr(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 rB={kernelName:T.Identity,backendName:"cpu",kernelFunc:Yr};function Ya(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 aB={kernelName:T.Real,backendName:"cpu",kernelFunc:Ya};function Ka(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 Yr({inputs:{x:r},backend:e});var s=T.zeros(r.shape),o=Ka({inputs:{x:r},backend:e,attrs:{dtype:"float32"}}),l=bn({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){var u=Ya({inputs:{input:r},backend:e}),l=Ka({inputs:{x:u},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(u),l}if(!T.util.hasEncodingLoss(r.dtype,a)){var l=Yr({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=ir(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 sB={kernelName:T.Cast,backendName:"cpu",kernelFunc:Ka};function Kr(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=Ka({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=Ka({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,x=c.data.get(S.dataId).values,C=e(l.shape,u.shape,m,g,L,x),R=C[0],D=C[1],k=C[2],W=c.makeTensorInfo(k,"float32",R),F=c.makeTensorInfo(k,"float32",D),P=bn({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 gd(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 x=L%m.length,C=L%g.length,R=n(m[x*2],m[x*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 Mw=ir(function(n,t){return n+t}),oB=gd(function(n,t,e,i){return{real:n+e,imag:t+i}}),Hw=Kr(T.Add,Mw,oB),lB={kernelName:T.Add,backendName:"cpu",kernelFunc:Hw};function jr(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 $r(n,t,e){return function(i){var r=i.inputs,a=i.attrs,s=i.backend,o=r.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");var l=s,u=l.data.get(o.dataId).values,c=e||o.dtype,h=t(u,c,a);return l.makeTensorInfo(o.shape,c,h)}}var Vw=jr(function(n){return Math.ceil(n)}),uB=$r(T.Ceil,Vw),cB={kernelName:T.Ceil,backendName:"cpu",kernelFunc:uB};var qw=jr(function(n){return Math.exp(n)}),hB=$r(T.Exp,qw),dB={kernelName:T.Exp,backendName:"cpu",kernelFunc:hB};var Gw=jr(function(n){return Math.expm1(n)}),pB=$r(T.Expm1,Gw),fB={kernelName:T.Expm1,backendName:"cpu",kernelFunc:pB};var Yw=jr(function(n){return Math.floor(n)}),mB=$r(T.Floor,Yw),gB={kernelName:T.Floor,backendName:"cpu",kernelFunc:mB};var Kw=jr(function(n){return Math.log(n)}),vB=$r(T.Log,Kw),yB={kernelName:T.Log,backendName:"cpu",kernelFunc:vB};function jw(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 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e.makeTensorInfo(u,r.dtype,h)}var IB={kernelName:T.Slice,backendName:"cpu",kernelFunc:vd};var Qw=ir(function(n,t){return n-t}),AB=gd(function(n,t,e,i){return{real:n-e,imag:t-i}}),e0=Kr(T.Sub,Qw,AB),TB={kernelName:T.Sub,backendName:"cpu",kernelFunc:e0};function yd(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 t0(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 x=0;x<a[0];x++)for(var C=0;C<a[2];C++)b.set(u.get(x,S,C),x,L,C)});var w=e.slice();return w[r]=v[1],{outputValues:b.values,outputShape:w,indices:l}}var NB={__proto__:null,simpleAbsImpl:_w,addImpl:Mw,ceilImpl:Vw,expImpl:qw,expm1Impl:Gw,floorImpl:Yw,logImpl:Kw,maxImpl:jw,multiplyImpl:$w,rsqrtImpl:Jw,sliceImpl:Zw,subImpl:Qw,transposeImpl:yd,uniqueImpl:t0};var xB="2.6.0";T.registerBackend("cpu",function(){return new Pw},1);var CB=je(T.Acos,function(n){return Math.acos(n)}),RB={kernelName:T.Acos,backendName:"cpu",kernelFunc:CB};var OB=je(T.Acosh,function(n){return Math.acosh(n)}),EB={kernelName:T.Acosh,backendName:"cpu",kernelFunc:OB};var DB=je(T.Asin,function(n){return Math.asin(n)}),kB={kernelName:T.Asin,backendName:"cpu",kernelFunc:DB};var FB=je(T.Asinh,function(n){return Math.asinh(n)}),WB={kernelName:T.Asinh,backendName:"cpu",kernelFunc:FB};var UB=je(T.Atan,function(n){return Math.atan(n)}),BB={kernelName:T.Atan,backendName:"cpu",kernelFunc:UB};var zB=je(T.Atanh,function(n){return Math.atanh(n)}),PB={kernelName:T.Atanh,backendName:"cpu",kernelFunc:zB};function bd(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,x=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=x+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 n0(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),x=0;x<i.outWidth;++x){for(var C=x*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,x,v)}}return s}function _B(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=Yr({inputs:{x:r},backend:e});else{var d=e.data.get(r.dataId).values,p=T.util.computeStrides(r.shape),f=bd(d,r.shape,r.dtype,p,c,"avg");h=e.makeTensorInfo(c.outShape,r.dtype,f.values)}return h}var MB={kernelName:T.AvgPool,backendName:"cpu",kernelFunc:_B};function HB(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"),x=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(_*x,D,W,F,k)}return e.makeTensorInfo(L.shape,L.dtype,L.values)}var VB={kernelName:T.AvgPoolBackprop,backendName:"cpu",kernelFunc:HB};function qB(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,x=0,C=0,R=0;R<c.length;++R)m[R]=f[S++]+(c[R]-h[L++])*p[x++]/Math.sqrt(d[C++]+u),S>=g&&(S=0),L>=w&&(L=0),x>=v&&(x=0),C>=b&&(C=0);return e.makeTensorInfo(r.shape,r.dtype,m)}var GB={kernelName:T.FusedBatchNorm,backendName:"cpu",kernelFunc:qB};var YB=je(T.ClipByValue,function(n,t){var e=t;return n>e.clipValueMax?e.clipValueMax:n<e.clipValueMin?e.clipValueMin:n}),KB={kernelName:T.ClipByValue,backendName:"cpu",kernelFunc:YB};function Co(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 jB={kernelName:T.Imag,backendName:"cpu",kernelFunc:Co};function wi(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 $B={kernelName:T.Reshape,backendName:"cpu",kernelFunc:wi};function ja(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 Ya({inputs:{input:S},backend:e})}),c=o.map(function(S){return Co({inputs:{input:S},backend:e})}),h=ja({inputs:u,backend:e,attrs:{axis:r}}),d=ja({inputs:c,backend:e,attrs:{axis:r}}),p=bn({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)),x=[-1,L];return wi({inputs:{x:S},backend:e,attrs:{shape:x}})});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,x=T.util.sizeFromShape(S.shape);m.set(L,g),g+=x})}else{var v=0;f.forEach(function(S){for(var L=e.data.get(S.dataId).values,x=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[x++];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 XB={kernelName:T.Concat,backendName:"cpu",kernelFunc:ja};var JB=je(T.Cos,function(n){return Math.cos(n)}),ZB={kernelName:T.Cos,backendName:"cpu",kernelFunc:JB};var QB=je(T.Cosh,function(n){return Math.cosh(n)}),ez={kernelName:T.Cosh,backendName:"cpu",kernelFunc:QB};var tz={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,x=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<x;++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 nz={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,x=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-x.top,G=0;G<L;++G)for(var Z=G*R-x.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 iz={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,x=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-x.top,G=0;G<L;++G)for(var Z=G*R-x.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 rz=ir(function(n,t){return n/t}),az=Kr(T.Div,rz),wd={kernelName:T.Div,backendName:"cpu",kernelFunc:az};var sz=je(T.Elu,function(n){return n>=0?n:Math.exp(n)-1}),oz={kernelName:T.Elu,backendName:"cpu",kernelFunc:sz};var lz=T.backend_util.ERF_P,uz=T.backend_util.ERF_A1,cz=T.backend_util.ERF_A2,hz=T.backend_util.ERF_A3,dz=T.backend_util.ERF_A4,pz=T.backend_util.ERF_A5,fz=je(T.Erf,function(n){var t=Math.sign(n),e=Math.abs(n),i=1/(1+lz*e);return t*(1-((((pz*i+dz)*i+hz)*i+cz)*i+uz)*i*Math.exp(-e*e))}),mz={kernelName:T.Erf,backendName:"cpu",kernelFunc:fz};function i0(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=vd({inputs:{x:o},backend:e,attrs:{begin:[p,0],size:[1,a]}}),m=vd({inputs:{x:l},backend:e,attrs:{begin:[p,0],size:[1,a]}}),g=bn({inputs:{real:f,imag:m},backend:e}),v=gz(g,t,e),b=v.real,w=v.imag,S=T.backend_util.mergeRealAndImagArrays(b,w),L=0;L<a;L++){var x=T.backend_util.getComplexWithIndex(S,L);h[p*a+L]=x.real,d[p*a+L]=x.imag}e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g)}var C=e.makeTensorInfo(u,"float32",h),R=e.makeTensorInfo(u,"float32",d),D=bn({inputs:{real:C,imag:R},backend:e});return e.disposeIntermediateTensorInfo(C),e.disposeIntermediateTensorInfo(R),D}function gz(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(vz(i)){var o=Sd(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=Yr({inputs:{x:h},backend:e}),p=wd.kernelFunc({inputs:{a:u,b:h},backend:e}),f=wd.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=yz(v,i,t);return T.backend_util.splitRealAndImagArrays(b)}}function vz(n){return(n&n-1)===0}function Sd(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=bn({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=bn({inputs:{real:b,imag:w},backend:r}),L=Sd(l,u,s,i,r),x=L.real,C=L.imag,R=[x.length],D=r.makeTensorInfo(R,"float32",x),k=r.makeTensorInfo(R,"float32",C),W=bn({inputs:{real:D,imag:k},backend:r}),F=Sd(m,g,s,i,r),P=F.real,H=F.imag,_=[P.length],K=r.makeTensorInfo(_,"float32",P),j=r.makeTensorInfo(_,"float32",H),q=bn({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=bn({inputs:{real:X,imag:ee},backend:r}),ie=Xw({inputs:{a:ne,b:q},backend:r}),te=Hw({inputs:{a:W,b:ie},backend:r}),re=e0({inputs:{a:W,b:ie},backend:r}),le=Ya({inputs:{input:te},backend:r}),he=Ya({inputs:{input:re},backend:r}),ye=Co({inputs:{input:te},backend:r}),Oe=Co({inputs:{input:re},backend:r}),ke=ja({inputs:[le,he],backend:r,attrs:{axis:0}}),Pe=ja({inputs:[ye,Oe],backend:r,attrs:{axis:0}}),_e=r.data.get(ke.dataId).values,ct=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:ct}}function yz(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 bz(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=wi({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=i0(o,!1,e),u=wi({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var wz={kernelName:T.FFT,backendName:"cpu",kernelFunc:bz};var Sz={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],x=Math.round(c-L),C=f+g+b+w,R=d[C];if(x>=0&&x<c){var D=x*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 Lz(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=wi({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=i0(o,!0,e),u=wi({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var Iz={kernelName:T.IFFT,backendName:"cpu",kernelFunc:Lz};var Az=je(T.IsFinite,function(n){return Number.isFinite(n)?1:0},"bool"),Tz={kernelName:T.IsFinite,backendName:"cpu",kernelFunc:Az};var Nz=je(T.IsInf,function(n){return Math.abs(n)===Infinity?1:0},"bool"),xz={kernelName:T.IsInf,backendName:"cpu",kernelFunc:Nz};var Cz=je(T.IsNan,function(n){return Number.isNaN(n)?1:0},"bool"),Rz={kernelName:T.IsNan,backendName:"cpu",kernelFunc:Cz};var Oz=je(T.Log1p,function(n){return 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zz={kernelName:T.MaxPoolBackprop,backendName:"cpu",kernelFunc:Bz};function Pz(n,t,e,i,r){var a=T.util.computeStrides(t),s=bd(n,t,e,a,r,"max"),o=n0(n,t,e,r,!0,i);return[s.values,o.values]}var _z={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=Pz(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 Mz=T.kernel_impls.nonMaxSuppressionV4Impl,Hz={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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int inOffset = outIdx * `+r+`;
int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
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int inIdx = `+l+`;
float candidate = getA(batch, inIdx);
if (candidate `+o+` bestValue) {
bestValue = candidate;
bestIndex = inIdx;
}
}
setOutput(float(bestIndex));
}
`}return n}();function W0(n,t){return["x","y","z","w","u","v"].slice(0,t).map(function(e){return n+"."+e})}function Kt(n,t){return t===1?[n]:W0(n,t)}function x_(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 Dt(){var n,t,e,i,r,a,s,o,l,u;return N.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 or(n,t,e){e===void 0&&(e="index");var i=N.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 Ed(n){var t=N.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 U0=`
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 B0=N.backend_util.getBroadcastDims;function U_(n,t,e,i){var r=[];n.forEach(function(f){var m=N.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 C_(f,t,i)}).join(`
`),o=t.texShape,l=Dt(),u=E_(l),c,h,d=F_(l);t.isPacked?(c=R_(t.logicalShape,o),h=k_(l)):(c=O_(t.logicalShape,o),h=D_(l)),i&&(d+=W_);var p=[d,u,h,a,c,s,e].join(`
`);return p}function Qr(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return B_(n);case 1:return z_(n);case 2:return P_(n);case 3:return __(n);case 4:return M_(n);case 5:return H_(n);case 6:return V_(n);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function z0(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return q_(n);case 1:return G_(n);case 2:return Y_(n);case 3:return K_(n);default:return j_(n)}}function C_(n,t,e){e===void 0&&(e=!1);var i="";e?i+=z0(n):i+=Qr(n);var r=n.shapeInfo.logicalShape,a=t.logicalShape;return r.length<=a.length&&(e?i+=$_(n,t):i+=X_(n,t)),i}function R_(n,t){switch(n.length){case 0:return P0();case 1:return J_(n,t);case 2:return eM(n,t);case 3:return Z_(n,t);default:return Q_(n,t)}}function O_(n,t){switch(n.length){case 0:return P0();case 1:return tM(n,t);case 2:return sM(n,t);case 3:return nM(n,t);case 4:return iM(n,t);case 5:return rM(n,t);case 6:return aM(n,t);default:throw new Error(n.length+"-D output sampling is not yet supported")}}function E_(n){return`
float sampleTexture(sampler2D textureSampler, vec2 uv) {
return `+n.texture2D+`(textureSampler, uv).r;
}
`}function D_(n){return`
void setOutput(float val) {
`+n.output+` = vec4(val, 0, 0, 0);
}
`}function k_(n){return`
void setOutput(vec4 val) {
`+n.output+` = val;
}
`}function F_(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);
}
`+oM+`
`+lM+`
`+uM+`
`;return t}var oM=`
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);
}
`,lM=`
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);
}
`,uM=`
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);
}
`,W_=`
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 P0(){return`
int getOutputCoords() {
return 0;
}
`}function J_(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 tM(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 Z_(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 nM(n,t){var e=or(["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 Q_(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 iM(n,t){var e=or(["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 rM(n,t){var e=or(["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 aM(n,t){var e=or(["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 eM(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(N.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 sM(n,t){return N.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 lr(n){return"offset"+n}function q_(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),i=Dt();return`
vec4 `+e+`() {
return `+i.texture2D+"("+t+`, halfCR);
}
`}function B_(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=lr(t);return`
float `+e+`() {
vec2 uv = uvFromFlat(`+o+", "+l+", "+u+`);
return sampleTexture(`+t+`, uv);
}
`}function G_(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=Dt();return`
vec4 `+e+`(int index) {
vec2 uv = packedUVfrom1D(
`+r[0]+", "+r[1]+`, index);
return `+a.texture2D+"("+t+`, uv);
}
`}function z_(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return`
float `+e+`(int index) {
`+ea(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=lr(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 Y_(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=Dt();if(r!=null&&N.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 P_(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&&N.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=N.util.squeezeShape(t),l=o.newShape,u=o.keptDims,c=l;if(c.length<t.length){var h=ta(n,c),d=["row","col"];return`
`+Qr(h)+`
float `+i+`(int row, int col) {
return `+i+"("+na(d,u)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+i+`(int row, int col) {
int index = round(dot(vec2(row, col), vec2(`+t[1]+`, 1)));
`+ea(n)+`
}
`;var p=r[0],f=r[1],m=lr(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 K_(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=ta(n,s),u=["b","row","col"];return`
`+z0(l)+`
vec4 `+i+`(int b, int row, int col) {
return `+i+"("+na(u,o)+`);
}
`}var c=a[0],h=a[1],d=Math.ceil(t[2]/2),p=d*Math.ceil(t[1]/2),f=Dt();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 __(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=N.util.squeezeShape(t),o=s.newShape,l=s.keptDims,u=o;if(u.length<t.length){var c=ta(n,u),h=["row","col","depth"];return`
`+Qr(c)+`
float `+i+`(int row, int col, int depth) {
return `+i+"("+na(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)));
`+ea(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=lr(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 j_(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=Dt();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 M_(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=N.util.squeezeShape(t),l=o.newShape,u=o.keptDims;if(l.length<t.length){var c=ta(n,l),h=["row","col","depth","depth2"];return`
`+Qr(c)+`
float `+i+`(int row, int col, int depth, int depth2) {
return `+i+"("+na(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)));
`+ea(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=lr(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 H_(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=N.util.squeezeShape(t),u=l.newShape,c=l.keptDims;if(u.length<t.length){var h=ta(n,u),d=["row","col","depth","depth2","depth3"];return`
`+Qr(h)+`
float `+i+`(int row, int col, int depth, int depth2, int depth3) {
return `+i+"("+na(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;
`+ea(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=lr(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 V_(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=N.util.squeezeShape(t),a=r.newShape,s=r.keptDims;if(a.length<t.length){var o=ta(n,a),l=["row","col","depth","depth2","depth3","depth4"];return`
`+Qr(o)+`
float `+i+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
return `+i+"("+na(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)));
`+ea(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=lr(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 ea(n){var t=n.name,e=N.util.sizeFromShape(n.shapeInfo.logicalShape);return e<2?"return "+t+";":`
for (int i = 0; i < `+e+`; i++) {
if (i == index) {
return `+t+`[i];
}
}
`}function $_(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=B0(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=N.util.sizeFromShape(n.shapeInfo.logicalShape),m=f===1,g=N.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 X_(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&&N.util.arraysEqual(s,a))return`
float `+r+`() {
return sampleTexture(`+e+`, resultUV);
}
`;var u=Je(l),c=B0(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 ta(n,t){var e=JSON.parse(JSON.stringify(n));return e.shapeInfo.logicalShape=t,e}function na(n,t){return t.map(function(e){return n[e]}).join(", ")}var cM=function(){function n(t,e,i,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,N.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=Kt("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=Kt("sourceLocR",d-1).concat("inIdx.r"),b=Kt("sourceLocG",d-1).concat("inIdx.g"),w=Kt("sourceLocB",d-1).concat("inIdx.b"),S=Kt("sourceLocA",d-1).concat("inIdx.a"),L=i==="max"?"greaterThan":"lessThan",x=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;
`+x+`
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 hM=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}(),dM=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 _0={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},M0=function(){function n(t,e,i){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.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 H0=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,Dd="return a + b;",kd="return a - b;",V0="return a * b;",pM=`
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;
}
`,fM=`
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);
`,mM="return float(a == b);",gM="return float(a != b);",vM="return float(a < b);",yM="return float(a <= b);",bM="return float(a > b);",wM="return float(a >= b);",SM="return float(a >= 1.0 && b >= 1.0);",LM="return float(a >= 1.0 || b >= 1.0);",IM=H0+`
return max(a, b);
`,AM=H0+`
return min(a, b);
`,TM=`if (b == 0.0) return NAN;
return mod(a, b);`,NM="return (b >= 1.0) ? a : a * (b + 1.0);",q0="return (a < 0.) ? b * a : a;",bt=function(){function n(t,e,i){this.variableNames=["A","B"],this.outputShape=N.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 Bo=`
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;
`,xM=`
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);
`,CM=`
// 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));
`+Bo+`
return result;
`,G0=`
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`,RM=`
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,OM=`
return vec4(equal(a, b));
`,EM=`
return vec4(notEqual(a, b));
`,DM=`
return vec4(lessThan(a, b));
`,kM=`
return vec4(lessThanEqual(a, b));
`,FM=`
return vec4(greaterThan(a, b));
`,WM=`
return vec4(greaterThanEqual(a, b));
`,UM=`
return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
`,BM=`
return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
`,zM=`
vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Bo+`
return result;
`,PM=`
vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Bo+`
return result;
`,_M=`
vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
`+Bo+`
return result;
`,Si=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=N.backend_util.assertAndGetBroadcastShape(e,i);var a=this.outputShape.length,s="";if(r)if(a===0||N.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=Kt("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 MM=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 HM=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 VM=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 qM=function(){function n(t){this.outputShape=[],this.outputShape=N.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 GM=function(){function n(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N.backend_util.computeOutShape(t,e);var i=this.outputShape,r=i.length,a=Je(r),s=Kt("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+"("+zo(o,c,f)+`),
vec2(`+zo(h,c,f)+`));
}`}var m=l.length,g=l[l.length-1];p+=`
return getChannel(
getT`+m+"("+zo(o,c,g)+`),
vec2(`+zo(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 zo(n,t,e){var i=n.indexOf(t),r=n.map(function(a,s){return s===i?a+" - "+e:a});return r.join()}var YM=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}(),KM=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}(),jM=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}(),$M=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 XM=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}(),JM=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 Y0=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}(),ZM=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 K0=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 j0=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?N.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="",x="";i&&(r?L=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
`+i+`
}`:L=`vec4 activation(vec4 x) {
`+i+`
}`,x="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+`
`+x+`
setOutput(result);
}
`}return n}();var QM=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],x=L[0],C=L[1],R=L[2];this.userCode=`
const float height_ratio = float(`+b+`);
const float width_ratio = float(`+x+`);
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}(),J0=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=e?"0.0":"getX("+$0(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 = `+X0(r,"coords")+`;
float val = `+a+`;
int pow2 = int(pow(2.0, index));
if (`+o+`) {
int idx = `+l+`;
`+X0(r,"coords")+` = idx;
val += getX(`+$0(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 $0(n,t){if(n===1)return""+t;if(n===2)return t+".x, "+t+".y";if(n===3)return t+".x, "+t+".y, "+t+".z";if(n===4)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}function X0(n,t){if(n===1)return""+t;if(n===2)return t+".y";if(n===3)return t+".z";if(n===4)return t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}var e5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=$a.DENSE;var e=Ja(t),i=Dt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+or(["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 t5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=$a.DENSE;var e=Ja(t),i=Dt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+or(["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 n5=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 i5=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 r5=function(){function n(t){this.variableNames=["A"],this.outTexUsage=en.DOWNLOAD;var e=Dt();this.outputShape=t,this.userCode=`
`+U0+`
void main() {
float x = getAAtOutCoords();
`+e.output+` = encode_float(x);
}
`}return n}();var a5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=en.DOWNLOAD;var e=Dt();this.outputShape=t,this.userCode=`
`+U0+`
void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
`+e.output+` = encode_float(x);
}
`}return n}();var s5=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"];var r=Dt(),a=e[0],s=e[1];this.outputShape=t;var o="result";i&&(o="floor(result * 255. + 0.5)"),this.userCode=`
`+Ed(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 o5=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Dt(),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=`
`+Ed(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 Z0={REAL:"return real * expR - imag * expI;",IMAG:"return real * expI + imag * expR;"},Q0=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 l5=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 c5=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=u5(t,i);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function u5(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 h5=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 eS(n){var t=Dt(),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 d0(n,e)}function tS(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 g0(n,t)}function nS(n){var t=new Uint16Array([0,1,2,2,1,3]);return v0(n,t)}function ts(n,t,e,i,r,a){b0(t,e);var s=y0(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 Fd(n){return n.internalFormatFloat}function iS(n,t,e,i){var r=Xa(t,e),a=r[0],s=r[1];return ts(n,a,s,Fd(i),i.textureFormatFloat,n.FLOAT)}function Wd(n){return n.internalFormatHalfFloat}function rS(n,t,e,i){var r=Xa(t,e),a=r[0],s=r[1];return ts(n,a,s,Wd(i),i.textureFormatFloat,i.textureTypeHalfFloat)}function Ud(n){return n.downloadTextureFormat}function aS(n,t,e,i){var r=Xa(t,e),a=r[0],s=r[1];return ts(n,a,s,Ud(i),n.RGBA,n.UNSIGNED_BYTE)}function Bd(n){return n.internalFormatPackedFloat}function sS(n,t,e,i){var r=Xr(t,e),a=r[0],s=r[1];return ts(n,a,s,Bd(i),n.RGBA,n.FLOAT)}function zd(n){return n.internalFormatPackedHalfFloat}function oS(n,t,e,i){var r=Xr(t,e),a=r[0],s=r[1];return ts(n,a,s,zd(i),n.RGBA,i.textureTypeHalfFloat)}function lS(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=Nd(n,t,"clipSpacePos",e,3,a,i);return s&&Nd(n,t,"uv",e,2,a,r)}function uS(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 cS(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 hS(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 dS(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 pS(n,t,e,i){var r=Xa(t,e),a=r[0],s=r[1],o=4,l=new Uint8Array(BP(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 fS(n,t,e,i,r,a,s,o){var l=n,u=new Float32Array(zP(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 mS(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 d5={__proto__:null,createVertexShader:eS,createVertexBuffer:tS,createIndexBuffer:nS,getInternalFormatForFloat32MatrixTexture:Fd,createFloat32MatrixTexture:iS,getInternalFormatForFloat16MatrixTexture:Wd,createFloat16MatrixTexture:rS,getInternalFormatForUnsignedBytesMatrixTexture:Ud,createUnsignedBytesMatrixTexture:aS,getInternalFormatForPackedMatrixTexture:Bd,createPackedMatrixTexture:sS,getInternalFormatForFloat16PackedMatrixTexture:zd,createFloat16PackedMatrixTexture:oS,bindVertexProgramAttributeStreams:lS,uploadDenseMatrixToTexture:uS,uploadPixelDataToTexture:cS,createBufferFromOutputTexture:hS,downloadFloat32MatrixFromBuffer:dS,downloadByteEncodedFloatMatrixFromOutputTexture:pS,downloadPackedMatrixFromBuffer:fS,downloadMatrixFromPackedOutputTexture:mS};var gS=function(){function n(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=N.env().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,u0(e,t)):this.gl=Wn(e);var i="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(N.env().getNumber("WEBGL_VERSION")===1){var a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Za(this.gl,a),tn(this.gl,s))this.textureHalfFloatExtension=Za(this.gl,s);else if(N.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),tn(this.gl,r))this.colorBufferHalfFloatExtension=Za(this.gl,r);else if(N.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",tn(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else if(tn(this.gl,r))this.colorBufferHalfFloatExtension=this.gl.getExtension(r);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=tS(this.gl),this.indexBuffer=nS(this.gl),this.framebuffer=w0(this.gl),this.textureConfig=Td(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(n.prototype,"debug",{get:function(){return N.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(),iS(this.gl,t,e,this.textureConfig)},n.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),rS(this.gl,t,e,this.textureConfig)},n.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),aS(this.gl,t,e,this.textureConfig)},n.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),cS(this.gl,t,e)},n.prototype.uploadDenseMatrixToTexture=function(t,e,i,r){this.throwIfDisposed(),uS(this.gl,t,e,i,r,this.textureConfig)},n.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),oS(this.gl,t,e,this.textureConfig)},n.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),sS(this.gl,t,e,this.textureConfig)},n.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(xd(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 pS(r.gl,e,i,r.textureConfig)})},n.prototype.downloadPackedMatrixFromBuffer=function(t,e,i,r,a,s){return fS(this.gl,t,e,i,r,a,s,this.textureConfig)},n.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return dS(this.gl,t,e)},n.prototype.createBufferFromTexture=function(t,e,i){this.bindTextureToFrameBuffer(t);var r=hS(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(N.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 N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(i=this.beginQuery(),this.endQuery(),r=function(){return e.isQueryAvailable(i,N.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 mS(r.gl,e,i)})},n.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,i=p0(e,t),r=eS(e),a=f0(e);return ce(e,function(){return e.attachShader(a,r)}),ce(e,function(){return e.attachShader(a,i)}),m0(e,a),this.debug&&Eo(e,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=lS(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&&Eo(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?I0(this.gl,t,e):A0(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(),T0(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=Xr(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&&Eo(this.gl,this.program),Qa(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=Za(this.gl,N.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(N.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(N.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 Ro(this,void 0,void 0,function(){var e=this;return Oo(this,function(i){switch(i.label){case 0:return[4,N.util.repeatedTry(function(){return e.disposed||e.isQueryAvailable(t,N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return i.sent(),[2,this.getQueryTime(t,N.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=p5(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;N.util.repeatedTry(function(){return i.pollItems(),i.itemsToPoll.length===0})},n.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Do(this.gl,t,this.framebuffer),this.debug&&Qa(this.gl)},n.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(Do(this.gl,this.outputTexture,this.framebuffer),this.debug&&Qa(this.gl)):xd(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;Do(r,t,this.framebuffer),this.debug&&Qa(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 p5(n){for(var t=0;t<n.length;++t){var e=n[t]();if(!e)break}return t-1}function f5(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=U_(a,o,r,t.packedInputs),u=n.createProgram(l),c=null,h=n.getUniformLocation(u,"NAN",!1);N.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 vS(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(!N.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(!N.util.arraysEqual(o,l))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+o+" and "+l+" must match"))})}function m5(n,t,e,i,r){vS(t.inShapeInfos,e),vS([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),N.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(N.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 g5(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 v5=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=Dt(),v=d==="channelsLast",b=v?0:1,w=v?1:2,S="",L=0;L<=1;L++)for(var x=0;x<=1;x++)S+=`
blockIndex = rc.y + `+x+`;
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+x)+`] = getChannel(
getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[`+(L*2+x)+`] = 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 y5=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 b5=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 w5=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 S5=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}(),L5=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 Pd=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 I5=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 A5=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 C5=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=Kt("rc",e),r=Je(e),a=T5(e,t,i),s=N5(e,t[t.length-1],t[t.length-2],i),o=x5(t,i);this.userCode=`
void main() {
`+r+` rc = getOutputCoords();
if(`+a+`) {
setOutput(vec4(0));
} else {
`+s+`
setOutput(vec4(`+o+`));
}
}
`}}return n}();function R5(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 T5(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 N5(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 x5(n,t){var e=n.length,i=R5(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 O5=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 E5=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=Kt("rc",r),u=Kt("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 ns=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 x=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 < `+x+`; 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 + `+x+`;
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}(),_d=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 x="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 = `+x+`(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 yS=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 bS=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=`
`+D5(e)+`
`+Ed(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 D5(n){var t=or(["r","c","d"],n);return`
ivec3 inputCoordsFromReshapedOutCoords(int index) {
`+t+`
return ivec3(r, c, d);
}
`}var k5=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 F5=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 W5=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 U5=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 B5=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 z5=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 P5=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=Kt("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 wS=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 _5=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 M5=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 V5=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=H5(this.rank),a,s=t.map(function(o,l){return"sourceLoc."+Md[l]+" = start["+l+"] + coords."+Md[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}(),Md=["x","y","z","w","u","v"];function H5(n){if(n===1)return"sourceLoc";if(n<=6)return Md.slice(0,n).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+n+" is not yet supported")}var q5=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=Kt("coords",this.rank),r=Kt("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 G5=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 Y5=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=LS(e,i),a=IS(t,r,i);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var s=SS(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===xt.PACKED_2X2_FLOAT32?l=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):r===xt.PACKED_2X2_FLOAT16?l=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):r===xt.UNPACKED_FLOAT32?l=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):r===xt.UNPACKED_FLOAT16?l=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):r===xt.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=LS(i,r),s=IS(e,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);var o=SS(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),l=N.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 K5(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 SS(n,t,e,i,r){var a=j5(t,i),s;if(r){var o=Xr(n[0],n[1]),l=o[0],u=o[1];s=l*u}else{var c=Xa(n[0],n[1]),h=c[0],d=c[1];s=h*d}var p=K5(e,a);return s*p}function j5(n,t){switch(n){case xt.PACKED_2X2_FLOAT32:return Bd(t);case xt.PACKED_2X2_FLOAT16:return zd(t);case xt.UNPACKED_FLOAT32:return Fd(t);case xt.UNPACKED_FLOAT16:return Wd(t);case xt.PACKED_4X1_UNSIGNED_BYTE:return Ud(t);default:throw new Error("Unknown physical texture type "+n)}}function $5(n){return N.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?xt.PACKED_2X2_FLOAT32:xt.UNPACKED_FLOAT32:n?xt.PACKED_2X2_FLOAT16:xt.UNPACKED_FLOAT16}function LS(n,t){if(n===en.UPLOAD)return xt.PACKED_2X2_FLOAT32;if(n===en.RENDER||n==null)return $5(t);if(n===en.DOWNLOAD||n===en.PIXELS)return xt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+n)}function IS(n,t,e){return n[0]+"_"+n[1]+"_"+t+"_"+e}var J5=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=X5(t);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function X5(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}(),Xn="if (isnan(x)) return x;",Z5="return x;",AS="return abs(x);",TS=Xn+`
return (x < 0.0) ? 0.0 : x;
`,NS=Xn+`
return (x < 0.0) ? 0.0 : min(6.0, x);
`,xS="return (x >= 0.0) ? x : (exp(x) - 1.0);",Q5=`
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = `+N.backend_util.SELU_SCALEALPHA+`;
float scale = `+N.backend_util.SELU_SCALE+`;
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`;function e9(n){return n===void 0&&(n=0),Xn+(`
return x > 0.0 ? 1.0 : float(`+n+`);
`)}var CS="return -x;",RS="return ceil(x);",OS="return floor(x);",t9=`
if (isnan(x)) { return 0.0; }
return sign(x);
`,n9="return float(isnan(x));",i9="return float(isinf(x));",r9="return float(!isnan(x) && !isinf(x));",a9=`
// 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;
}
}
`,ES="return exp(x);",DS="return exp(x) - 1.0;",s9=`if (x < 0.0) return NAN;
return log(x);`,o9="return log(1.0 + x);",l9="return sqrt(x);",u9="return inversesqrt(x);",c9="return 1.0 / (1.0 + exp(-1.0 * x));",h9=`
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;
`,d9=Xn+`
if (abs(x) > 1.) {
return NAN;
}
return asin(x);
`,p9=Xn+`
if (abs(x) > 1.) {
return NAN;
}
return acos(x);
`,f9=Xn+`
return atan(x);
`,m9=`
float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
`,g9=`
float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
`,v9=`
float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,y9=Xn+"return log(x + sqrt(x * x + 1.0));",b9=Xn+`
if (x < 1.0) return NAN;
return log(x + sqrt(x * x - 1.0));`,w9=Xn+`
if ((x < -1.0) || (x > 1.0)) return NAN;
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,S9=`
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = `+N.backend_util.ERF_P+`;
float a1 = `+N.backend_util.ERF_A1+`;
float a2 = `+N.backend_util.ERF_A2+`;
float a3 = `+N.backend_util.ERF_A3+`;
float a4 = `+N.backend_util.ERF_A4+`;
float a5 = `+N.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));
`,L9="return 1.0 / x;",I9="return float(!(x >= 1.0));",A9="return float(int(x));",Po="return x;";var T9="return x;",N9=`
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;
`,kS=`
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;
`,FS=`
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;
`,WS=`
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 x9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,i=Kt("rc",e),r=Je(e),a=x_(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 US=N.backend_util.segment_util,C9=N.kernel_impls.split,R9=N.kernel_impls.tile,O9=N.kernel_impls.topkImpl,E9=N.kernel_impls.whereImpl,D9=1e-7,k9=1e-4,_o={};function F9(n){return n in _o||(_o[n]={}),_o[n]}function Mo(n,t){if(t===void 0&&(t=!1),n==="linear")return t?T9:Z5;if(n==="relu")return t?kS:TS;if(n==="elu")return t?WS:xS;if(n==="relu6")return t?FS:NS;if(n==="prelu")return t?G0:q0;throw new Error("Activation "+n+" has not been implemented for the WebGL backend.")}var W9=128,U9=600;function B9(){return N.env().global.screen==null?1024:N.env().global.screen.height*N.env().global.screen.width*window.devicePixelRatio*U9/1024/1024}var BS=1e3,zS=function(n){FP(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,!N.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){var r=Wn(N.env().getNumber("WEBGL_VERSION"));i.binaryCache=F9(N.env().getNumber("WEBGL_VERSION")),i.gpgpu=new gS(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 Y5(i.gpgpu),i.numMBBeforeWarning=B9(),i.texData=new N.DataStorage(i,N.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((N.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||N.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:en.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(N.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:en.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,Po):c=new Re(l,Po);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=N.util.now());var m;if(a==="complex64"){var g=s.real.dataSync(),v=s.imag.dataSync();m=N.backend_util.mergeRealAndImagArrays(g,v)}else m=this.getValuesFromTexture(e);return p&&(this.downloadWaitMs+=N.util.now()-f),this.convertAndCacheOnCPU(e,m)},t.prototype.read=function(e){return Ro(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,x,C,R;return Oo(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,Po):h=new Re(s,Po),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(!N.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&N.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"&&N.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(Ja(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=N.backend_util.mergeRealAndImagArrays(w,S),[3,5];case 4:f==null?v=this.getValuesFromTexture(e):(L=N.util.sizeFromShape(s),v=this.gpgpu.downloadFloat32MatrixFromBuffer(f,L)),D.label=5;case 5:return m!=null&&this.disposeIntermediateTensorInfo(m),x=this.convertAndCacheOnCPU(e,v),C=this.pendingRead.get(e),this.pendingRead.delete(e),C.forEach(function(k){return k(x)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,x]}})})},t.prototype.checkNumericalProblems=function(e){if(e==null)return;for(var i=0;i<e.length;i++){var r=e[i];if(!h0(r))throw N.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=N.util.sizeFromShape(a);if(N.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(Ja(a))).subarray(0,l);return this.disposeIntermediateTensorInfo(u),h}var d=N.env().getBool("WEBGL_PACK")&&o===!0,p=d?ko(a):a,f=d?new a5(p):new r5(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 Ro(this,void 0,void 0,function(){var i,r,a,s,o,l,u;return Oo(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=N.util.flatten(this.activeTimers.map(function(h){return h.query})).filter(function(h){return h!=null}),o=N.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},N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(s)]:[3,2];case 1:return u=c.sent(),l.kernelMs=N.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 N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:N.util.now(),endMs:null}},t.prototype.endTimer=function(e){return N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=N.util.now(),e)},t.prototype.getQueryTime=function(e){return Ro(this,void 0,void 0,function(){var i;return Oo(this,function(r){return N.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 N.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=N.engine().findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,i){var r=this;i===void 0&&(i=W9);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&&N.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:N.engine().keep(e.clone()),imag:N.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=S_(this.texData.get(e.dataId).values,i,r,e.shape,e.dtype);return this.makeOutput(r,e.dtype,a)}if(N.util.sizeFromShape(r)===0)return N.tensor([],r,e.dtype);var s=this.texData.get(e.dataId).isPacked,o=N.slice_util.isSliceContinous(e.shape,i,r);if(s||!o){var l=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new q5(r):new V5(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=N.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=N.slice_util.computeOutShape(i,r,a);if(l.some(function(c){return c===0}))return N.tensor([],l);var u=new G5(i,a,l);return this.compileAndRun(u,[e])},t.prototype.reverse=function(e,i){var r=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new P5(e.shape,i):new z5(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 N.real(f)}),a=e.map(function(f){return N.imag(f)});return N.complex(this.concat(r,i),this.concat(a,i))}if(e.length===1)return e[0];if(e.length>N.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(N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var u=new GM(e.map(function(f){return f.shape}),i);return this.compileAndRun(u,e)}var c=N.backend_util.computeOutShape(e.map(function(f){return f.shape}),i),h=e.map(function(f){return f.as2D(-1,N.util.sizeFromShape(f.shape.slice(i)))}),d=new qM(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(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,CS,e.dtype);var a=new Re(e.shape,CS);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>BS){r&&(e=N.transpose(e,[0,2,1])),a&&(i=N.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=N.upcastType(e.dtype,i.dtype),m=new Pd(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=N.upcastType(i.dtype,r.dtype),m=o!=null,g=u!=null,v=l?Mo(l,!0):null,b=new Pd(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 M0(_0.REAL,e.shape,i.shape),o=new M0(_0.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=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var r=this.texData.get(e.dataId),a=this.texData.get(i.dataId),p=b_(e.shape,i.shape,r.values,a.values,d),f=p[0],m=p[1];return this.makeOutput(m,d,f)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,V0,e.dtype);var g=new bt(V0,e.shape,i.shape);return this.compileAndRun(g,[e,i],e.dtype)},t.prototype.localResponseNormalization4D=function(e,i,r,a,s){var o=N.env().getBool("WEBGL_PACK_NORMALIZATION")?new w5(e.shape,i,r,a,s):new y5(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 b5(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 N.util.decodeString(l)}),s=N.buffer(e.shape,e.dtype,a);return R9(s,i)}var o=new J5(e.shape,i);return this.compileAndRun(o,[e])},t.prototype.pad=function(e,i,r){var a=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new E5(e.shape,i,r):new O5(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 c5(e.shape,i.size,r);return this.compileAndRun(o,[e,i])},t.prototype.batchToSpaceND=function(e,i,r){N.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=N.backend_util.getReshaped(e.shape,i,a),o=N.backend_util.getPermuted(s.length,i.length),l=N.backend_util.getReshapedPermuted(e.shape,i,a),u=N.backend_util.getSliceBeginCoords(r,i.length),c=N.backend_util.getSliceSize(l,r,i.length);return N.transpose(e.reshape(s),o).reshape(l).slice(u,c)},t.prototype.spaceToBatchND=function(e,i,r){N.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=N.backend_util.getReshaped(l.shape,i,a,!1),c=N.backend_util.getPermuted(u.length,i.length,!1),h=N.backend_util.getReshapedPermuted(l.shape,i,a,!1),d=N.transpose(l.reshape(u),c);return N.reshape(d,h)},t.prototype.reduce=function(e,i,r){var a=e.shape[0],s=e.shape[1],o=N.backend_util.computeOptimalWindowSize(s),l=Math.ceil(s/o),u={windowSize:o,inSize:s,batchSize:a,outSize:l},c=new yS(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=N.backend_util.computeOptimalWindowSize(s),l={windowSize:o,inSize:s,batchSize:a,outSize:Math.ceil(s/o)},u=new N_(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=N.backend_util.computeOptimalWindowSize(s),l=new cM(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){N.backend_util.assertAxesAreInnerMostDims("sum",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o),u=N.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=N.backend_util.computeOutAndReduceShapes(e.shape,i),o=s[0],l=s[1],u=N.util.sizeFromShape(l),c=e.as2D(-1,u),h=N.sumOutType(e.dtype);return this.reduce(c,"prod",h).reshape(o)},t.prototype.unsortedSegmentSum=function(e,i,r){var a=0,s=N.backend_util.getAxesPermutation([a],e.rank),o=e;s!=null&&(o=N.transpose(e,s),a=N.backend_util.getInnerMostAxes(1,e.rank)[0]);var l=US.computeOutShape(o.shape,a,r),u=N.util.sizeFromShape([o.shape[a]]),c=o.as2D(-1,u),h=N.sumOutType(e.dtype),d=this.segOpCompute(c,"unsortedSegmentSum",i,h,r).reshape(l);return s!=null&&(d=N.transpose(d,N.backend_util.getUndoAxesPermutation(s))),d},t.prototype.segOpCompute=function(e,i,r,a,s){var o=e.shape[0],l=e.shape[1],u=US.segOpComputeOptimalWindowSize(l,s),c={windowSize:u,inSize:l,batchSize:o,numSegments:s},h=new _5(c,i),d=this.compileAndRun(h,[e,r],a);return d.shape[1]===s?d:(r=N.range(0,s).tile([l/u]),this.segOpCompute(d,i,r,a,s))},t.prototype.argMinMaxReduce=function(e,i,r){var a=[i];if(N.backend_util.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,e.rank),!N.env().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var s=N.backend_util.computeOutAndReduceShapes(e.shape,a),o=s[0],l=s[1],u=N.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 J0(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 J0(e.shape,r,a),h=o;o=this.compileAndRun(u,[o]),h.dispose()}return o},t.prototype.equal=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,OM,"bool");var r=new bt(mM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.notEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,EM,"bool");var r=new bt(gM,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(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,DM,"bool");var s=new bt(vM,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.lessEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,kM,"bool");var r=new bt(yM,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(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,FM,"bool");var s=new bt(bM,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.greaterEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,WM,"bool");var r=new bt(wM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalNot=function(e){var i=new Re(e.shape,I9);return this.compileAndRun(i,[e])},t.prototype.logicalAnd=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,UM,"bool");var r=new bt(SM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalOr=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,BM,"bool");var r=new bt(LM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.select=function(e,i,r){var a=new M5(e.rank,i.shape,i.rank);return this.compileAndRun(a,[e,i,r],N.upcastType(i.dtype,r.dtype))},t.prototype.where=function(e){N.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var i=e.dataSync();return E9(e.shape,i)},t.prototype.topk=function(e,i,r){var a=e.dataSync();return O9(a,e.shape,e.dtype,i,r)},t.prototype.min=function(e,i){N.backend_util.assertAxesAreInnerMostDims("min",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.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=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(PM,e.shape,i.shape):new bt(AM,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.mod=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(_M,e.shape,i.shape):new bt(TM,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=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(zM,e.shape,i.shape):new bt(IM,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.all=function(e,i){N.backend_util.assertAxesAreInnerMostDims("all",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"all",l.dtype).reshape(a)},t.prototype.any=function(e,i){N.backend_util.assertAxesAreInnerMostDims("any",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.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=pM,a="int32";if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,xM,a);var s=new bt(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,Dd);var r=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=d_(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,Dd,r);var c=new bt(Dd,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 Si(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 bt(r,e.shape,i.shape);return a.compileAndRun(v,[m,g],N.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>N.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 N.upcastType(c,h)}),o=e.map(function(c){return c.shape}),l=N.env().getBool("WEBGL_PACK"),u=l?new T_(e[0].shape,o):new A_(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,kd);var r=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=L_(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,kd,e.dtype);var c=new bt(kd,e.shape,i.shape);return this.compileAndRun(c,[e,i],r)},t.prototype.pow=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),a=r?new Si(CM,e.shape,i.shape):new bt(fM,e.shape,i.shape),s=N.upcastType(e.dtype,i.dtype);return this.compileAndRun(a,[e,i],s)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var i=p_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,RS,e.dtype);var r=new Re(e.shape,RS);return this.compileAndRun(r,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e])){var i=g_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,OS,e.dtype);var r=new Re(e.shape,OS);return this.compileAndRun(r,[e])},t.prototype.sign=function(e){var i=new Re(e.shape,t9);return this.compileAndRun(i,[e])},t.prototype.isNaN=function(e){var i=new Re(e.shape,n9);return this.compileAndRun(i,[e],"bool")},t.prototype.isInf=function(e){var i=new Re(e.shape,i9);return this.compileAndRun(i,[e],"bool")},t.prototype.isFinite=function(e){var i=new Re(e.shape,r9);return this.compileAndRun(i,[e],"bool")},t.prototype.round=function(e){var i=new Re(e.shape,a9);return this.compileAndRun(i,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e])){var i=f_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,ES,e.dtype);var r=new Re(e.shape,ES);return this.compileAndRun(r,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var i=m_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,DS,e.dtype);var r=new Re(e.shape,DS);return this.compileAndRun(r,[e])},t.prototype.softmax=function(e,i){var r=N.util.parseAxisParam([i],e.shape),a=N.max(e,r),s=N.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 N.div(l,u)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e])){var i=v_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,N9,e.dtype);var r=new Re(e.shape,s9);return this.compileAndRun(r,[e])},t.prototype.log1p=function(e){var i=new Re(e.shape,o9);return this.compileAndRun(i,[e])},t.prototype.sqrt=function(e){var i=new Re(e.shape,l9);return this.compileAndRun(i,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var i=w_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}var r=new Re(e.shape,u9);return this.compileAndRun(r,[e])},t.prototype.reciprocal=function(e){var i=new Re(e.shape,L9);return this.compileAndRun(i,[e])},t.prototype.relu=function(e){var i;return N.env().getBool("WEBGL_PACK")?i=new is(e.shape,kS):i=new Re(e.shape,TS),this.compileAndRun(i,[e])},t.prototype.relu6=function(e){var i;return N.env().getBool("WEBGL_PACK")?i=new is(e.shape,FS):i=new Re(e.shape,NS),this.compileAndRun(i,[e])},t.prototype.prelu=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(G0,e.shape,i.shape):new bt(q0,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.elu=function(e){if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,WS,e.dtype);var i=new Re(e.shape,xS);return this.compileAndRun(i,[e])},t.prototype.eluDer=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(RM,e.shape,i.shape):new bt(NM,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.selu=function(e){var i=new Re(e.shape,Q5);return this.compileAndRun(i,[e])},t.prototype.int=function(e){var i=new Re(e.shape,A9);return this.compileAndRun(i,[e],"int32")},t.prototype.clip=function(e,i,r){var a;N.env().getBool("WEBGL_PACK_CLIP")?a=new HM(e.shape):a=new MM(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=h_(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,AS,e.dtype);var r=new Re(e.shape,AS);return this.compileAndRun(r,[e])},t.prototype.complexAbs=function(e){var i=this.texData.get(e.dataId),r=new VM(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,c9);return this.compileAndRun(i,[e])},t.prototype.softplus=function(e){var i=new Re(e.shape,h9);return this.compileAndRun(i,[e])},t.prototype.asin=function(e){var i=new Re(e.shape,d9);return this.compileAndRun(i,[e])},t.prototype.acos=function(e){var i=new Re(e.shape,p9);return this.compileAndRun(i,[e])},t.prototype.atan=function(e){var i=new Re(e.shape,f9);return this.compileAndRun(i,[e])},t.prototype.sinh=function(e){var i=new Re(e.shape,m9);return this.compileAndRun(i,[e])},t.prototype.cosh=function(e){var i=new Re(e.shape,g9);return this.compileAndRun(i,[e])},t.prototype.tanh=function(e){var i=new Re(e.shape,v9);return this.compileAndRun(i,[e])},t.prototype.asinh=function(e){var i=new Re(e.shape,y9);return this.compileAndRun(i,[e])},t.prototype.acosh=function(e){var i=new Re(e.shape,b9);return this.compileAndRun(i,[e])},t.prototype.atanh=function(e){var i=new Re(e.shape,w9);return this.compileAndRun(i,[e])},t.prototype.erf=function(e){var i=new Re(e.shape,S9);return this.compileAndRun(i,[e])},t.prototype.step=function(e,i){var r=new Re(e.shape,e9(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>BS,v=l[2]%2!==0&&!!u.isPacked;if(g||!N.env().getBool("WEBGL_LAZILY_UNPACK")||!N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!v){var b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],w=N.reshape(e,[1,b,r.inChannels]),S=N.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 N.reshape(L,r.outShape)}var x=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),C={dataId:e.dataId,shape:[1,x,r.inChannels],dtype:e.dtype},R=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,N.util.assert(es(u.shape,C.shape),function(){return"packed reshape "+u.shape+" to "+C.shape+" isn't free"});var D=N.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 N.util.assert(W.isPacked,function(){return"batchMatMul result is expected to be packed"}),u.shape=R,W.shape=r.outShape,N.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]),x=new v5(v,S.shape,r),C=this.compileAndRun(x,[S]).reshape([1,v[0],v[1]]),R=a!=null,D=o!=null,k=s?Mo(s,!0):null,W=new Pd(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(N.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?Mo(o,!1):null,d=new Y0(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(N.env().getBool("WEBGL_CONV_IM2COL")&&e.shape[0]===1)return this.conv2dWithIm2Row(e,i,r);var a=new Y0(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerInput=function(e,i,r){var a=new KM(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerFilter=function(e,i,r){var a=new YM(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=N.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels===1,c=o?Mo(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 j0(a,d,c,p),this.compileAndRun(f,h)):(f=new K0(a,d,c,p),this.compileAndRun(f,h))},t.prototype.depthwiseConv2D=function(e,i,r){var a;return N.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&r.strideWidth<=2&&r.outChannels/r.inChannels===1?(a=new j0(r),this.compileAndRun(a,[e,i])):(a=new K0(r),this.compileAndRun(a,[e,i]))},t.prototype.depthwiseConv2DDerInput=function(e,i,r){var a=new JM(r);return this.compileAndRun(a,[e,i])},t.prototype.depthwiseConv2DDerFilter=function(e,i,r){var a=new XM(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3d=function(e,i,r){var a=new ZM(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerInput=function(e,i,r){var a=new $M(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerFilter=function(e,i,r){var a=new jM(r);return this.compileAndRun(a,[e,i])},t.prototype.cast=function(e,i){return N.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 _d(i,"avg",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,i,r){var a=new dM(r);return this.compileAndRun(a,[e],i.dtype)},t.prototype.maxPool3d=function(e,i){var r=new _d(i,"max",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,i,r,a){var s=!0,o=new _d(a,"max",s),l=this.compileAndRun(o,[i]),u=new L5(a),c=this.compileAndRun(u,[e,l],i.dtype);return l.dispose(),c},t.prototype.resizeBilinear=function(e,i,r,a){var s=N.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new W5(e.shape,i,r,a):new F5(e.shape,i,r,a);return this.compileAndRun(s,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,i,r){var a=new k5(e,i,r);return this.compileAndRun(a,[e])},t.prototype.resizeNearestNeighbor=function(e,i,r,a){var s=new B5(e.shape,i,r,a);return this.compileAndRun(s,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,i,r){var a=new U5(e,i,r);return this.compileAndRun(a,[e])},t.prototype.multinomial=function(e,i,r,a){var s=i?e:N.softmax(e),o=s.shape[0],l=s.shape[1],u=new I5(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 A5(e.size,i,r,a);return this.compileAndRun(s,[e])},t.prototype.diag=function(e){var i=new i5(e.size);return this.compileAndRun(i,[e])},t.prototype.cropAndResize=function(e,i,r,a,s,o){var l=new QM(e.shape,i.shape,a,s,o);return this.compileAndRun(l,[e,i,r],"float32")},t.prototype.depthToSpace=function(e,i,r){N.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 n5(d,i,r);return this.compileAndRun(p,[e])},t.prototype.split=function(e,i,r){return C9(e,i,r)},t.prototype.scatterND=function(e,i,r){var a=N.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 N.backend_util.reshapeTensor(N.tensor([]),r);var f=N.scalar(0),m=new wS(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=N.backend_util.calculateShapes(i,e,r),o=s.sliceRank,l=s.numUpdates,u=s.strides,c=s.outputSize,h=!1,d=new wS(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 Q0(Z0.REAL,e.shape,i),s=new Q0(Z0.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=N.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 h5(a,c,[l,u]),f=this.compileAndRun(p,[d,h]);return f.reshape(o)},t.prototype.fill=function(e,i,r){if(r=r||N.util.inferDtype(i),r==="string"){var a=N.util.getArrayFromDType(r,N.util.sizeFromShape(e));return a.fill(i),N.engine().makeTensor(a,e,r,this)}else{var s=new l5(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 N.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 N.engine().makeTensorFromDataId(a,e,i,this)},t.prototype.unpackTensor=function(e){var i=new x9(e.shape);return this.runWebGLProgram(i,[e],e.dtype)},t.prototype.packTensor=function(e){var i=new C5(e.shape),r=!0;return this.runWebGLProgram(i,[e],e.dtype,null,r)},t.prototype.packedReshape=function(e,i){var r=[ar(e.shape)].concat(sr(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[ar(i)].concat(sr(i)),o=new bS(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=ko(a),l;r?l=new t5(o):l=new e5(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===$a.DENSE){var c=Ja(e.outputShape);u.texShape=c.map(function(w){return w*2})}if(e.outTexUsage!=null&&(u.usage=e.outTexUsage),N.util.sizeFromShape(l.shape)===0)return u.values=N.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&&N.util.sizeFromShape(w.shape)<=N.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&&!es(S.shape,w.shape)){var L=w,x=w.shape;w.shape=S.shape,w=o.packedReshape(w,x),h.push(w),S=o.texData.get(w.dataId),L.shape=x}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=g5(e,d,p),m=this.getAndSaveBinary(f,function(){return f5(o.gpgpu,e,d,p)}),g=this.activeTimers!=null,v;if(g&&(v=this.startTimer()),m5(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)})),!N.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 N.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(!N.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=N.tidy(function(){if(!N.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var i=N.env().getBool("DEBUG");N.env().set("DEBUG",!1);var r=e.abs(N.scalar(1e-8)).dataSync()[0];if(N.env().set("DEBUG",i),r>0)return 32}return 16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return this.floatPrecision()===32?D9:k9},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=N.util.now());var p=r.texShape;if(p==null&&(p=x0(a,c),r.texShape=p),o!=null){var f=ko(a),m=void 0,g=p[1],v=p[0],b=o instanceof Uint8Array;c?(i=Xr(p[0],p[1]),g=i[0],v=i[1],m=new o5(f,[v,g],b)):m=new s5(f,[v,g],b);var w=this.makeTensorInfo([v,g],s);b?this.texData.get(w.dataId).usage=en.PIXELS:this.texData.get(w.dataId).usage=en.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(w.dataId),g,v,o);var S=!0,L=this.runWebGLProgram(m,[w],s,null,S),x=this.texData.get(L.dataId);r.texture=x.texture,r.texShape=x.texShape,r.isPacked=x.isPacked,r.usage=x.usage,this.disposeIntermediateTensorInfo(w),this.texData.delete(L.dataId),r.values=null,h&&(this.uploadWaitMs+=N.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=z9(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]*N.util.bytesPerElement(i)},t.prototype.tryRunOnCpuOrThrow=function(e,i){if(this.shouldExecuteOnCPU(e))try{return i()}catch(r){if(N.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(N.KernelBackend);function z9(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 P9="2.6.0";function PS(){N.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}N.device_util.isBrowser()&&N.registerBackend("webgl",function(){return new zS},2);var _9={forceHalfFloat:PS},_S="if (isnan(x)) return x;",M9=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,H9=`
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 Ho(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 Hd(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=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(t,l.shape,u.shape,!!e):new bt(n,l.shape,u.shape),d=i||l.dtype,p=c.runWebGLProgram(h,[l,u],d);return p}}var V9=M9+`
return atan(a, b);
`,q9=`
vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+H9+`
return result;
`,G9=Hd(V9,q9),Y9={kernelName:N.Atan2,backendName:"webgl",kernelFunc:G9};function Vd(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 K9={kernelName:N.Identity,backendName:"webgl",kernelFunc:Vd};function j9(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;Jr(r,"avgPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;N.util.assert(N.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=N.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&N.util.arraysEqual(c.inShape,c.outShape))return Vd({inputs:{x:r},backend:e});var h=new ns(c,"avg",!1);return e.runWebGLProgram(h,[r],"float32")}var $9={kernelName:N.AvgPool,backendName:"webgl",kernelFunc:j9};function X9(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=a;Jr([r,a],"avgPoolBackprop");var o=i.filterSize,l=i.strides,u=i.pad,c=N.backend_util.computePool2DInfo(s.shape,o,l,1,u),h=new hM(c);return e.runWebGLProgram(h,[r],s.dtype)}var J9={kernelName:N.AvgPoolBackprop,backendName:"webgl",kernelFunc:X9};var Z9=function(){function n(t,e,i,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.backend_util.assertAndGetBroadcastShape(t,e),N.backend_util.assertAndGetBroadcastShape(t,i);var o="0.0";r!=null&&(N.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="1.0";a!=null&&(N.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 Q9=function(){function n(t,e,i,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.backend_util.assertAndGetBroadcastShape(t,e),N.backend_util.assertAndGetBroadcastShape(t,i);var o="vec4(0.0)";r!=null&&(N.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="vec4(1.0)";a!=null&&(N.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 e6=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;N.util.assert(a.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),N.util.assert(o==null||a.shape.length===o.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),N.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=N.env().getBool("WEBGL_PACK_NORMALIZATION")?new Q9(r.shape,a.shape,s.shape,h,d,u):new Z9(r.shape,a.shape,s.shape,h,d,u),f=e.runWebGLProgram(p,c,c[0].dtype);return f},t6={kernelName:N.FusedBatchNorm,backendName:"webgl",kernelFunc:e6};var n6=_S+`
return cos(x);
`,i6=Ho(n6),r6={kernelName:N.Cos,backendName:"webgl",kernelFunc:i6};var a6=`
if (a == b) {
return 1.0;
};
return a / b;`,s6=`
// 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;
`,o6=Hd(a6,s6,!0),l6={kernelName:N.Div,backendName:"webgl",kernelFunc:o6};var u6=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 c6={kernelName:N.FlipLeftRight,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=t.image,r=e,a=new u6(i.shape),s=r.runWebGLProgram(a,[i],i.dtype);return s}};var h6=function(){function n(t){this.variableNames=["A"];var e=Dt(),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 d6=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Dt(),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 f6={kernelName:N.FromPixels,backendName:"webgl",kernelFunc:p6},ia;function p6(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)&&(ia==null&&(ia=document.createElement("canvas").getContext("2d")),ia.canvas.width=u,ia.canvas.height=c,ia.drawImage(r,0,0,u,c),r=ia.canvas);var p=e.makeTensorInfo(h,"int32");e.texData.get(p.dataId).usage=en.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(p.dataId),r);var f=N.env().getBool("WEBGL_PACK")?new d6(d):new h6(d),m=e.runWebGLProgram(f,[p],"int32");return e.disposeData(p.dataId),m}function m6(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=N.backend_util.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:i,outSize:Math.ceil(e/i)})}return t}function g6(n,t,e,i){for(var r=m6(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 yS({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 v6(n,t,e){var i=[ar(n.shape)].concat(sr(n.shape)),r={dtype:n.dtype,shape:i,dataId:n.dataId},a=[ar(t)].concat(sr(t)),s=new bS(a,i),o=!0,l=e.runWebGLProgram(s,[r],n.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function qd(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.shape,s=e,o=N.util.sizeFromShape(r.shape),l=N.util.inferFromImplicitShape(a,o),u=N.util.sizeFromShape(l);N.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&&!es(r.shape,l)&&!(c.texture!==null&&es(c.shape,l))?v6(r,l,s):(s.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var y6={kernelName:N.Reshape,backendName:"webgl",kernelFunc:qd};function b6(n,t,e,i){var r=N.util.sizeFromShape(t),a=N.util.sizeFromShape(n.shape),s=a/r,o=qd({inputs:{x:n},attrs:{shape:[s,r]},backend:i}),l=g6(o,n.dtype,"max",i),u=qd({inputs:{x:l},attrs:{shape:e},backend:i});return i.disposeIntermediateTensorInfo(o),i.disposeIntermediateTensorInfo(l),u}var S6=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=w6(e);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function w6(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 L6=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=W0("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 MS(n,t,e){var i=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new L6(n.shape,t):new S6(n.shape,t);return e.runWebGLProgram(i,[n],n.dtype)}var I6={kernelName:N.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=N.util.parseAxisParam(s,r.shape),h=c,d=N.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=F0(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=MS(r,d,l);h=N.backend_util.getInnerMostAxes(h.length,u)}N.backend_util.assertAxesAreInnerMostDims("max",h,u);var x=N.backend_util.computeOutAndReduceShapes(m.shape,h),C=x[0],R=x[1],D=C;o&&(D=N.backend_util.expandShapeToKeepDim(C,c));var k;if(f){var g=l.texData.get(m.dataId),v=g.values,W=y_(v,N.util.sizeFromShape(R),D,r.dtype);k=l.makeTensorInfo(D,r.dtype);var F=l.texData.get(k.dataId);F.values=W}else k=b6(m,R,D,l);return p&&l.disposeIntermediateTensorInfo(m),k}};function A6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;Jr(r,"maxPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;N.util.assert(N.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=N.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&N.util.arraysEqual(c.inShape,c.outShape))return Vd({inputs:{x:r},backend:e});var h=new ns(c,"max",!1);return e.runWebGLProgram(h,[r],r.dtype)}var T6={kernelName:N.MaxPool,backendName:"webgl",kernelFunc:A6};function N6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=t.output,o=a;Jr([a,s],"maxPoolBackprop");var l=i.filterSize,u=i.strides,c=i.pad,h=i.dimRoundingMode,d=N.backend_util.computePool2DInfo(o.shape,l,u,1,c,h),p=!0,f=new ns(d,"max",p),m=e.runWebGLProgram(f,[o],o.dtype),g=new S5(d),v=e.runWebGLProgram(g,[r,m],o.dtype);return e.disposeIntermediateTensorInfo(m),v}var x6={kernelName:N.MaxPoolBackprop,backendName:"webgl",kernelFunc:N6};function C6(n,t,e,i){var r=new ns(e,"max",!1),a=i.runWebGLProgram(r,[n],"float32");r=new ns(e,"max",!0,!0,t);var s=i.runWebGLProgram(r,[n],"float32");return[a,s]}var R6={kernelName:N.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;N.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];N.util.assert(N.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=N.backend_util.computePool2DInfo(r.shape,s,o,h,l),p=C6(r,u,d,c),f=p[0],m=p[1];return[f,m]}};var O6={kernelName:N.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.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 N.kernel_impls.nonMaxSuppressionV3Impl(d,p,f,m,g)}};var E6=N.kernel_impls.nonMaxSuppressionV4Impl,D6={kernelName:N.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.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=E6(p,f,l,u,c,h),g=m.selectedIndices,v=m.validOutputs;return[g,v]}};var k6=N.kernel_impls.nonMaxSuppressionV5Impl,F6={kernelName:N.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.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=k6(p,f,m,g,v,b),S=w.selectedIndices,L=w.selectedScores;return[S,L]}};var W6=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=N.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 U6={kernelName:N.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 W6(r.shape,s,o,l),h=u.runWebGLProgram(c,[r],r.dtype);return h}};var B6=_S+`
return sin(x);
`,z6=Ho(B6),P6={kernelName:N.Sin,backendName:"webgl",kernelFunc:z6};var _6="return x * x;",M6=Ho(_6),H6={kernelName:N.Square,backendName:"webgl",kernelFunc:M6};var HS="return (a - b) * (a - b);",V6=Hd(HS,HS),q6={kernelName:N.SquaredDifference,backendName:"webgl",kernelFunc:V6};var G6="return tan(x);",Y6=Ho(G6),K6={kernelName:N.Tan,backendName:"webgl",kernelFunc:Y6};var j6={kernelName:N.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=F0(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=MS(r,a,s);return c}};function $6(n){var t=n.inputs,e=n.attrs,i=n.backend,r=e.axis,a=t.x;Jr(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var s=i.readSync(a.dataId),o=I_(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 X6={kernelName:N.Unique,backendName:"webgl",kernelFunc:$6};var J6=[Y9,$9,J9,t6,r6,l6,c6,f6,K9,I6,T6,x6,R6,O6,D6,F6,y6,U6,P6,H6,q6,K6,j6,X6];for(var Gd=0,VS=J6;Gd<VS.length;Gd++){var Z6=VS[Gd];N.registerKernel(Z6)}Fn.GPGPUContext=gS;Fn.MathBackendWebGL=zS;Fn.forceHalfFloat=PS;Fn.gpgpu_util=d5;Fn.setWebGLContext=u0;Fn.version_webgl=P9;Fn.webgl=_9;Fn.webgl_util=XP});var _t=Se(ur=>{"use strict";Object.defineProperty(ur,"__esModule",{value:!0});var Yd=Gi(),Kd=Pb(),jd=ew(),GS=Sw(),Q6=l0(),e8=qS();var t8="2.6.0";var n8={"tfjs-core":Yd.version_core,"tfjs-backend-cpu":Q6.version_cpu,"tfjs-backend-webgl":e8.version_webgl,"tfjs-data":GS.version_data,"tfjs-layers":Kd.version_layers,"tfjs-converter":jd.version_converter,tfjs:t8};Object.keys(Yd).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return Yd[n]}})});Object.keys(Kd).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return Kd[n]}})});Object.keys(jd).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return jd[n]}})});ur.data=GS;ur.version=n8});var JS=Se(Vo=>{const Be=_t(),i8={strides:[8,16],anchors:[2,6]},YS=6;function r8(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 KS=n=>{n.startEndTensor.dispose(),n.startPoint.dispose(),n.endPoint.dispose()},jS=n=>({startEndTensor:n,startPoint:Be.slice(n,[0,0],[-1,2]),endPoint:Be.slice(n,[0,2],[-1,2])}),a8=(n,t)=>{const e=Be.mul(n.startPoint,t),i=Be.mul(n.endPoint,t),r=Be.concat2d([e,i],1);return jS(r)};function s8(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 $S(n,t){return Be.tidy(()=>{const e=n.box?n.box:n;return a8(e,t).startEndTensor.squeeze()})}class XS{constructor(n,t){this.blazeFaceModel=n,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=r8(t.detector.inputSize,t.detector.inputSize,i8),this.anchors=Be.tensor2d(this.anchorsData),this.inputSizeData=[t.detector.inputSize,t.detector.inputSize],this.inputSize=Be.tensor1d([t.detector.inputSize,t.detector.inputSize]),this.iouThreshold=t.detector.iouThreshold,this.scoreThreshold=t.detector.scoreThreshold}async getBoundingBoxes(n){const[t,e,i]=Be.tidy(()=>{const l=n.resizeBilinear([this.width,this.height]),u=Be.mul(Be.sub(l.div(255),.5),2),c=this.blazeFaceModel.predict(u),h=c.squeeze(),d=s8(h,this.anchors,this.inputSize),p=Be.slice(h,[0,0],[-1,1]),f=Be.sigmoid(p).squeeze();return[h,d,f]}),r=await Be.image.nonMaxSuppressionAsync(e,i,this.maxFaces,this.iouThreshold,this.scoreThreshold),a=await r.array();r.dispose();let s=a.map(l=>Be.slice(e,[l,0],[1,-1]));s=await Promise.all(s.map(async l=>{const u=await l.array();return l.dispose(),u}));const o=[];for(let l=0;l<s.length;l++){const u=s[l],c=Be.tidy(()=>{const h=jS(u),d=a[l],p=this.anchorsData[d],f=Be.slice(t,[d,YS-1],[1,-1]).squeeze().reshape([YS,-1]),m=Be.slice(i,[d],[1]);return{box:h,landmarks:f,probability:m,anchor:p}});o.push(c)}return e.dispose(),i.dispose(),t.dispose(),{boxes:o,scaleFactor:[n.shape[2]/this.inputSizeData[0],n.shape[1]/this.inputSizeData[1]]}}async estimateFaces(n,t=!1,e=!0){const i=Be.tidy(()=>(n instanceof Be.Tensor||(n=Be.browser.fromPixels(n)),n.toFloat().expandDims(0))),{boxes:r,scaleFactor:a}=await this.getBoundingBoxes(i);return i.dispose(),t?r.map(s=>{const o=$S(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=$S(s,a);let l;if(e){const[u,c,h]=await Promise.all([s.landmarks,o,s.probability].map(async g=>g.array())),d=s.anchor,[p,f]=a,m=u.map(g=>[(g[0]+d[0])*p,(g[1]+d[1])*f]);l={topLeft:c.slice(0,2),bottomRight:c.slice(2),landmarks:m,probability:h},KS(s.box),s.landmarks.dispose(),s.probability.dispose()}else{const u=await o.array();l={topLeft:u.slice(0,2),bottomRight:u.slice(2)}}return o.dispose(),l}))}}async function o8(n){const t=await Be.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),e=new XS(t,n);return e}Vo.load=o8;Vo.BlazeFaceModel=XS;Vo.disposeBox=KS});var Xd=Se($d=>{$d.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};$d.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 ZS=Se(cr=>{const l8=_t();function u8(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}}cr.scaleBoxCoordinates=u8;function Jd(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}cr.getBoxSize=Jd;function Zd(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}cr.getBoxCenter=Zd;function c8(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 l8.image.cropAndResize(t,a,[0],e)}cr.cutBoxFromImageAndResize=c8;function h8(n,t=1.5){const e=Zd(n),i=Jd(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}}cr.enlargeBox=h8;function d8(n){const t=Zd(n),e=Jd(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}}cr.squarifyBox=d8});var iL=Se(wn=>{wn.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function QS(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}wn.normalizeRadians=QS;function p8(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return QS(e)}wn.computeRotation=p8;function f8(n){return n*180/Math.PI}wn.radToDegrees=f8;function eL(n,t){return[[1,0,n],[0,1,t],[0,0,1]]}function ra(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}wn.dot=ra;function tL(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}wn.getColumnFrom2DArr=tL;function nL(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(ra(n[r],tL(t,a)))}return e}function m8(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=eL(t[0],t[1]),s=nL(a,r),o=eL(-t[0],-t[1]);return nL(s,o)}wn.buildRotationMatrix=m8;function g8(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-ra(t[0],e),-ra(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}wn.invertTransformMatrix=g8;function v8(n,t){return[ra(n,t[0]),ra(n,t[1])]}wn.rotatePoint=v8;function y8(n,t){return Math.sqrt((n[0]-t[0])**2+(n[1]-t[1])**2)}wn.xyDistanceBetweenPoints=y8});var aL=Se(rL=>{const Li=_t(),Un=ZS(),Ii=Xd(),Ai=iL(),b8=468,w8=.25,S8=13,L8=[S8,Ii.MESH_ANNOTATIONS.midwayBetweenEyes[0]],I8=3,A8=2,T8=[I8,A8],Qd=Ii.MESH_ANNOTATIONS.leftEyeLower0,ep=[Qd[0],Qd[Qd.length-1]],tp=Ii.MESH_ANNOTATIONS.rightEyeLower0,np=[tp[0],tp[tp.length-1]],N8=3,x8=4,C8=71,ip=76;function qo(n,t,e,i){for(let r=0;r<Ii.MESH_TO_IRIS_INDICES_MAP.length;r++){const{key:a,indices:s}=Ii.MESH_TO_IRIS_INDICES_MAP[r],o=Ii.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 R8{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=Un.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=Ai.buildRotationMatrix(e,[0,0]),l=s.map(d=>[...Ai.rotatePoint(d,o),d[2]]),u=Ai.invertTransformMatrix(i),c=[...Un.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[Ai.dot(c,u[0]),Ai.dot(c,u[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}getLeftToRightEyeDepthDifference(n){const t=n[ep[0]][2],e=n[np[0]][2];return t-e}getEyeBox(n,t,e,i,r=!1){const a=Un.squarifyBox(Un.enlargeBox(this.calculateLandmarksBoundingBox([n[e],n[i]]),this.irisEnlarge)),s=Un.getBoxSize(a);let o=Li.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=Li.image.flipLeftRight(o)),{box:a,boxSize:s,crop:o}}getEyeCoords(n,t,e,i=!1){const r=[];for(let a=0;a<ip;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(C8)}}getAdjustedIrisCoords(n,t,e){const i=n[Ii.MESH_ANNOTATIONS[`${e}EyeUpper0`][N8]][2],r=n[Ii.MESH_ANNOTATIONS[`${e}EyeLower0`][x8]][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=Un.scaleBoxCoordinates(o,r),u=Un.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=Li.tidy(()=>this.regionsOfInterest.map((i,r)=>{let a=0;const s=i.landmarks.length>=b8;let[o,l]=L8;s===!1&&([o,l]=T8),a=Ai.computeRotation(i.landmarks[o],i.landmarks[l]);const u=Un.getBoxCenter({startPoint:i.startPoint,endPoint:i.endPoint}),c=[u[0]/n.shape[2],u[1]/n.shape[1]];let h=n,d=Ai.IDENTITY_MATRIX;a!==0&&(h=Li.image.rotateWithOffset(n,a,0,c),d=Ai.buildRotationMatrix(-a,u));const p={startPoint:i.startPoint,endPoint:i.endPoint},f=Un.cutBoxFromImageAndResize(p,h,[this.meshHeight,this.meshWidth]).div(255),[,m,g]=this.meshDetector.predict(f),v=Li.reshape(g,[-1,3]);let b=v.arraySync();if(t.iris.enabled){const{box:x,boxSize:C,crop:R}=this.getEyeBox(b,f,ep[0],ep[1],!0),{box:D,boxSize:k,crop:W}=this.getEyeBox(b,f,np[0],np[1]),F=this.irisModel.predict(Li.concat([R,W])),P=F.dataSync();F.dispose();const H=P.slice(0,ip*3),{rawCoords:_,iris:K}=this.getEyeCoords(H,x,C,!0),j=P.slice(ip*3),{rawCoords:q,iris:G}=this.getEyeCoords(j,D,k),Z=this.getLeftToRightEyeDepthDifference(b);Math.abs(Z)<30?(qo(b,_,"left"),qo(b,q,"right")):Z<1?qo(b,_,"left",["EyeUpper0","EyeLower0"]):qo(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);Li.dispose(b);const S=Un.enlargeBox(this.calculateLandmarksBoundingBox(w));if(t.mesh.enabled){const x=Li.tensor2d(w);this.regionsOfInterest[r]={...S,landmarks:x.arraySync()};const C={coords:x,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<w8&&(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}}}rL.Pipeline=R8});var 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hL=Se(rs=>{const hr=_t(),D8=JS(),uL=Xd(),k8=aL(),F8=oL(),W8=lL().default;class cL{constructor(n,t,e,i){this.pipeline=new k8.Pipeline(n,t,e,i),i&&(this.config=i)}async estimateFaces(n,t){t&&(this.config=t);const e=hr.tidy(()=>(n instanceof hr.Tensor||(n=hr.browser.fromPixels(n)),n.toFloat().expandDims(0))),i=await this.pipeline.predict(e,t);hr.dispose(e);const r=[];for(const a of i||[]){const s=a.confidence.arraySync();if(s>=this.config.detector.minConfidence){const o=a.coords?a.coords.arraySync():null,l={};if(o&&o.length>0)for(const u in uL.MESH_ANNOTATIONS)(this.config.iris.enabled||u.includes("Iris")===!1)&&(l[u]=uL.MESH_ANNOTATIONS[u].map(c=>o[c]));r.push({confidence:s||0,box:a.box?[a.box.startPoint[0],a.box.startPoint[1],a.box.endPoint[0]-a.box.startPoint[0],a.box.endPoint[1]-a.box.startPoint[1]]:0,mesh:o,annotations:l,image:a.image?hr.clone(a.image):null})}a.confidence.dispose(),a.image.dispose()}return r}}async function U8(n){const t=await Promise.all([D8.load(n),hr.loadGraphModel(n.mesh.modelPath,{fromTFHub:n.mesh.modelPath.includes("tfhub.dev")}),hr.loadGraphModel(n.iris.modelPath,{fromTFHub:n.iris.modelPath.includes("tfhub.dev")})]),e=new cL(t[0],t[1],t[2],n);return e}rs.load=U8;rs.MediaPipeFaceMesh=cL;rs.uv_coords=F8;rs.triangulation=W8});var pL=Se(Go=>{const jt=_t(),aa={};let dL={age:0,gender:""},rp=0;async function B8(n,t){const e=jt.tidy(()=>{const i=jt.browser.fromPixels(n),r=jt.image.resizeBilinear(i,[t,t]),a=jt.cast(jt.expandDims(r,0),"float32");return a});return e}async function z8(n){aa.age||(aa.age=await jt.loadGraphModel(n.face.age.modelPath))}async function P8(n){aa.gender||(aa.gender=await jt.loadGraphModel(n.face.gender.modelPath))}async function _8(n,t){if(rp+=1,rp>=t.face.age.skipFrames)return rp=0,dL;let e;if(n instanceof jt.Tensor){const r=jt.image.resizeBilinear(n,[t.face.age.inputSize,t.face.age.inputSize],!1);e=jt.mul(r,[255]),jt.dispose(r)}else e=await B8(n,t.face.age.inputSize);const i={};if(t.face.age.enabled){const r=await aa.age.predict(e),a=await r.data();i.age=Math.trunc(10*a[0])/10,jt.dispose(r)}if(t.face.gender.enabled){const r=await aa.gender.predict(e),a=await r.data();i.gender=Math.trunc(100*a[0])<50?"female":"male",jt.dispose(r)}return jt.dispose(e),dL=i,i}Go.predict=_8;Go.loadAge=z8;Go.loadGender=P8});var gL=Se(fL=>{const mL=_t();class M8{constructor(n,t){this.model=n,this.outputStride=t;const e=this.model.inputs[0].shape;mL.util.assert(e[1]===-1&&e[2]===-1,()=>`Input shape [${e[1]}, ${e[2]}] must both be equal to or -1`)}predict(n){return mL.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()}}fL.BaseModel=M8});var ap=Se(vL=>{const yL=_t(),H8=gL();class V8 extends H8.BaseModel{preprocessInput(n){return yL.tidy(()=>yL.div(n,127.5).sub(1))}nameOutputResults(n){const[t,e,i,r]=n;return{offsets:t,heatmap:e,displacementFwd:i,displacementBwd:r}}}vL.MobileNet=V8});var wL=Se(bL=>{function sp(n){return Math.floor(n/2)}class q8{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(sp(n),n);)this.exchange(n,sp(n)),n=sp(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}}bL.MaxHeap=q8});var LL=Se(SL=>{const G8=wL();function Y8(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 K8(n,t,e){const[i,r,a]=e.shape,s=new G8.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;Y8(u,c,o,l,t,e)&&s.enqueue({score:c,part:{heatmapY:o,heatmapX:l,id:u}})}return s}SL.buildPartWithScoreQueue=K8});var as=Se(Sn=>{Sn.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];Sn.NUM_KEYPOINTS=Sn.partNames.length;Sn.partIds=Sn.partNames.reduce((n,t,e)=>(n[t]=e,n),{});const j8=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];Sn.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"]];Sn.connectedPartIndices=j8.map(([n,t])=>[Sn.partIds[n],Sn.partIds[t]]);Sn.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 lp=Se(Ti=>{const $8=as();function IL(n,t,e,i){return{y:i.get(n,t,e),x:i.get(n,t,e+$8.NUM_KEYPOINTS)}}Ti.getOffsetPoint=IL;function X8(n,t,e){const{heatmapY:i,heatmapX:r,id:a}=n,{y:s,x:o}=IL(i,r,a,e);return{x:n.heatmapX*t+o,y:n.heatmapY*t+s}}Ti.getImageCoords=X8;function J8(n,t){const e=new Array(t);for(let i=0;i<t;i++)e[i]=n;return e}Ti.fillArray=J8;function op(n,t,e){return n<t?t:n>e?e:n}Ti.clamp=op;function Z8(n,t,e,i){const r=e-n,a=i-t;return r*r+a*a}Ti.squaredDistance=Z8;function Q8(n,t){return{x:n.x+t.x,y:n.y+t.y}}Ti.addVectors=Q8;function e7(n,t,e){return{y:op(n.y,t,e),x:op(n.x,t,e)}}Ti.clampVector=e7});var CL=Se(AL=>{const ss=as(),sa=lp(),TL=ss.poseChain.map(([n,t])=>[ss.partIds[n],ss.partIds[t]]),up=TL.map(([,n])=>n),NL=TL.map(([n])=>n);function t7(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 cp(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 xL(n,t,e,i,r,a,s,o=2){const[l,u]=i.shape,c=cp(t.position,a,l,u),h=t7(n,c,s),d=sa.addVectors(t.position,h);let p=d;for(let g=0;g<o;g++){const v=cp(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=cp(p,a,l,u),m=i.get(f.y,f.x,e);return{position:p,part:ss.partNames[e],score:m}}function n7(n,t,e,i,r,a){const s=t.shape[2],o=up.length,l=new Array(s),{part:u,score:c}=n,h=sa.getImageCoords(u,i,e);l[u.id]={score:c,part:ss.partNames[u.id],position:h};for(let d=o-1;d>=0;--d){const p=up[d],f=NL[d];l[p]&&!l[f]&&(l[f]=xL(d,l[p],f,t,e,i,a))}for(let d=0;d<o;++d){const p=NL[d],f=up[d];l[p]&&!l[f]&&(l[f]=xL(d,l[p],f,t,e,i,r))}return l}AL.decodePose=n7});var hp=Se(RL=>{const i7=LL(),r7=CL(),OL=lp();function EL(n,t,{x:e,y:i},r){return n.some(({keypoints:a})=>{const s=a[r].position;return OL.squaredDistance(i,e,s.y,s.x)<=t})}function a7(n,t,e){const i=e.reduce((r,{position:a,score:s},o)=>(EL(n,t,a,o)||(r+=s),r),0);return i/e.length}const s7=1;function o7(n,t,e,i,r,a,s=.5,o=20){const l=[],u=i7.buildPartWithScoreQueue(s,s7,n),c=o*o;for(;l.length<a&&!u.empty();){const h=u.dequeue(),d=OL.getImageCoords(h.part,r,t);if(EL(l,c,d,h.part.id))continue;const p=r7.decodePose(h,n,t,r,e,i),f=a7(l,c,p);l.push({keypoints:p,score:f})}return l}RL.decodeMultiplePoses=o7});var pp=Se(ln=>{const oa=_t(),l7=as();function u7(n,t,e){return n<e||t<e}function c7(n,t){return l7.connectedPartIndices.reduce((e,[i,r])=>(u7(n[i].score,n[r].score,t)||e.push([n[i],n[r]]),e),[])}ln.getAdjacentKeyPoints=c7;const{NEGATIVE_INFINITY:DL,POSITIVE_INFINITY:kL}=Number;function FL(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:DL,maxY:DL,minX:kL,minY:kL})}ln.getBoundingBox=FL;function h7(n){const{minX:t,minY:e,maxX:i,maxY:r}=FL(n);return[{x:t,y:e},{x:i,y:e},{x:i,y:r},{x:t,y:r}]}ln.getBoundingBoxPoints=h7;async function d7(n){return Promise.all(n.map(t=>t.buffer()))}ln.toTensorBuffers3D=d7;function WL(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}}))}}ln.scalePose=WL;function UL(n,t,e,i=0,r=0){return e===1&&t===1&&i===0&&r===0?n:n.map(a=>WL(a,t,e,i,r))}ln.scalePoses=UL;function BL(n){return n instanceof oa.Tensor?[n.shape[0],n.shape[1]]:[n.height,n.width]}ln.getInputTensorDimensions=BL;function dp(n){return n instanceof oa.Tensor?n:oa.browser.fromPixels(n)}ln.toInputTensor=dp;function p7(n,t,e){return oa.tidy(()=>{const i=dp(n);return i.resizeBilinear([t,e])})}ln.toResizedInputTensor=p7;function f7(n,[t,e]){const[i,r]=BL(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=oa.tidy(()=>{let d=dp(n);return d=oa.pad3d(d,[[o,l],[u,c],[0,0]]),d.resizeBilinear([t,e])});return{resized:h,padding:{top:o,left:u,right:c,bottom:l}}}ln.padAndResizeTo=f7;function m7(n,[t,e],[i,r],a){const s=(t+a.top+a.bottom)/i,o=(e+a.left+a.right)/r,l=UL(n,s,o,-a.top,-a.left);return l}ln.scaleAndFlipPoses=m7});var PL=Se(fp=>{const g7=_t(),v7=ap(),y7=hp(),Yo=pp();class zL{constructor(n){this.baseModel=n}async estimatePoses(n,t){const e=t.outputStride,[i,r]=Yo.getInputTensorDimensions(n),{resized:a,padding:s}=Yo.padAndResizeTo(n,[t.inputResolution,t.inputResolution]),{heatmapScores:o,offsets:l,displacementFwd:u,displacementBwd:c}=this.baseModel.predict(a),h=await Yo.toTensorBuffers3D([o,l,u,c]),d=h[0],p=h[1],f=h[2],m=h[3],g=await y7.decodeMultiplePoses(d,p,f,m,e,t.maxDetections,t.scoreThreshold,t.nmsRadius),v=Yo.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()}}fp.PoseNet=zL;async function b7(n){const t=await g7.loadGraphModel(n.modelPath),e=new v7.MobileNet(t,n.outputStride);return new zL(e)}async function w7(n){return b7(n)}fp.load=w7});var ML=Se($t=>{const S7=ap(),_L=PL(),L7=hp(),Ko=as(),os=pp();$t.load=_L.load;$t.PoseNet=_L.PoseNet;$t.MobileNet=S7.MobileNet;$t.decodeMultiplePoses=L7.decodeMultiplePoses;$t.partChannels=Ko.partChannels;$t.partIds=Ko.partIds;$t.partNames=Ko.partNames;$t.poseChain=Ko.poseChain;$t.getAdjacentKeyPoints=os.getAdjacentKeyPoints;$t.getBoundingBox=os.getBoundingBox;$t.getBoundingBoxPoints=os.getBoundingBoxPoints;$t.scaleAndFlipPoses=os.scaleAndFlipPoses;$t.scalePose=os.scalePose});var vp=Se(Ni=>{const I7=_t();function mp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}Ni.getBoxSize=mp;function gp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}Ni.getBoxCenter=gp;function A7(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 I7.image.cropAndResize(t,a,[0],e)}Ni.cutBoxFromImageAndResize=A7;function T7(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}}Ni.scaleBoxCoordinates=T7;function N7(n,t=1.5){const e=gp(n),i=mp(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}}Ni.enlargeBox=N7;function x7(n){const t=gp(n),e=mp(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}}Ni.squarifyBox=x7;function C7(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}}Ni.shiftBox=C7});var VL=Se(HL=>{const Ve=_t(),R7=vp();class O7{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(R7.scaleBoxCoordinates({startPoint:c,endPoint:h,palmLandmarks:d},[i/this.width,e/this.height]))}return s}}HL.HandDetector=O7});var GL=Se(qL=>{qL.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 XL=Se(xi=>{function YL(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}xi.normalizeRadians=YL;function E7(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return YL(e)}xi.computeRotation=E7;const KL=(n,t)=>[[1,0,n],[0,1,t],[0,0,1]];function la(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}xi.dot=la;function jL(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}xi.getColumnFrom2DArr=jL;function $L(n,t){const e=[],i=n.length;for(let r=0;r<i;r++){e.push([]);for(let a=0;a<i;a++)e[r].push(la(n[r],jL(t,a)))}return e}function D7(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=KL(t[0],t[1]),s=$L(a,r),o=KL(-t[0],-t[1]);return $L(s,o)}xi.buildRotationMatrix=D7;function k7(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-la(t[0],e),-la(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}xi.invertTransformMatrix=k7;function F7(n,t){return[la(n,t[0]),la(n,t[1])]}xi.rotatePoint=F7});var eI=Se(JL=>{const ZL=_t(),Bn=vp(),Ci=XL(),W7=.8,U7=[0,-.4],B7=[0,-.1],z7=1.65,QL=[0,5,9,13,17,1,2],P7=0,_7=2;class M7{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 Ci.rotatePoint(a,t)}),i=this.calculateLandmarksBoundingBox(e);return Bn.enlargeBox(Bn.squarifyBox(Bn.shiftBox(i,U7)),this.enlargeFactor)}getBoxForHandLandmarks(n){const t=this.calculateLandmarksBoundingBox(n),e=Bn.enlargeBox(Bn.squarifyBox(Bn.shiftBox(t,B7)),z7),i=[];for(let r=0;r<QL.length;r++)i.push(n[QL[r]].slice(0,2));return e.palmLandmarks=i,e}transformRawCoords(n,t,e,i){const r=Bn.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=Ci.buildRotationMatrix(e,[0,0]),l=s.map(d=>{const p=Ci.rotatePoint(d,o);return[...p,d[2]]}),u=Ci.invertTransformMatrix(i),c=[...Bn.getBoxCenter(t),1],h=[Ci.dot(c,u[0]),Ci.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=Ci.computeRotation(a.palmLandmarks[P7],a.palmLandmarks[_7]),o=Bn.getBoxCenter(a),l=[o[0]/n.shape[2],o[1]/n.shape[1]],u=ZL.image.rotateWithOffset(n,s,0,l),c=Ci.buildRotationMatrix(-s,o),h=e?this.getBoxForPalmLandmarks(a.palmLandmarks,c):a,d=Bn.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=ZL.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 x={landmarks:S,confidence:v,box:{topLeft:L.startPoint,bottomRight:L.endPoint}};i.push(x)}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>W7?i:n}}shouldUpdateRegionsOfInterest(){return!this.regionsOfInterest||this.regionsOfInterest.length===0||this.runsWithoutHandDetector>=this.maxContinuousChecks}}JL.HandPipeline=M7});var iI=Se(yp=>{const dr=_t(),H7=VL(),tI=GL(),V7=eI();class nI{constructor(n){this.pipeline=n}async estimateHands(n,t){this.maxContinuousChecks=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands;const e=dr.tidy(()=>(n instanceof dr.Tensor||(n=dr.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(tI.MESH_ANNOTATIONS))s[o]=tI.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}}yp.HandPose=nI;async function q7(n){if(dr.env().features.IS_NODE){const t=require("fs"),e=await t.readFileSync(n.replace("file://",""));return JSON.parse(e)}return dr.util.fetch(n).then(t=>t.json())}async function G7(n){const[t,e,i]=await Promise.all([q7(n.detector.anchors),dr.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),dr.loadGraphModel(n.skeleton.modelPath,{fromTFHub:n.skeleton.modelPath.includes("tfhub.dev")})]),r=new H7.HandDetector(e,t,n),a=new V7.HandPipeline(r,i,n),s=new nI(a);return s}yp.load=G7});var rI=Se(Y7=>{wp(Y7,{default:()=>K7});var K7={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"}},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"}}}});var cI=Se(Jn=>{const pr=_t(),aI=hL(),jo=pL(),sI=ML(),oI=iI(),lI=rI().default,zn={facemesh:null,blazeface:null,ssrnet:null,iris:null};function uI(...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]=uI(a,s):e[r]=s}),e),{})}async function j7(n,t){return new Promise(async e=>{const i=uI(lI,t);i.face.age.enabled&&await jo.loadAge(i),i.face.gender.enabled&&await jo.loadGender(i),i.body.enabled&&!zn.posenet&&(zn.posenet=await sI.load(i.body)),i.hand.enabled&&!zn.handpose&&(zn.handpose=await oI.load(i.hand)),i.face.enabled&&!zn.facemesh&&(zn.facemesh=await aI.load(i.face)),pr.engine().startScope();let r;pr.getBackend()==="webgl"&&(r=pr.env().get("WEBGL_PACK_DEPTHWISECONV"),pr.env().set("WEBGL_PACK_DEPTHWISECONV",!0));const a={};let s;s=performance.now();let o=[];i.body.enabled&&(o=await zn.posenet.estimatePoses(n,i.body)),a.body=Math.trunc(performance.now()-s),s=performance.now();let l=[];i.hand.enabled&&(l=await zn.handpose.estimateHands(n,i.hand)),a.hand=Math.trunc(performance.now()-s);const u=[];if(i.face.enabled){s=performance.now();const c=await zn.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 jo.predict(h.image,i):{};a.agegender=Math.trunc(performance.now()-s),h.image.dispose();const p=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,iris:p!==0?Math.trunc(100*11.7/p)/100:0})}}pr.env().set("WEBGL_PACK_DEPTHWISECONV",r),pr.engine().endScope(),a.total=Object.values(a).reduce((c,h)=>c+h),console.log("total",a.total),e({face:u,body:o,hand:l,performance:a})})}Jn.detect=j7;Jn.defaults=lI;Jn.models=zn;Jn.facemesh=aI;Jn.ssrnet=jo;Jn.posenet=sI;Jn.handpose=oI;Jn.tf=pr});return cI();})();
/*! *****************************************************************************
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0
THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the License);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/** @license See the LICENSE file. */
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