ambiser
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human
mirror of https://github.com/vladmandic/human
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human/dist/human.js

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Ii=cf("kernelRegistry",function(){return new Map}),wa=cf("gradRegistry",function(){return new Map});function iu(n,t){var e=ru(n,t);return Ii.get(e)}function au(n){return wa.get(n)}function As(n){for(var t=Ii.entries(),e=[];;){var r=t.next(),i=r.done,a=r.value;if(i)break;var s=a[0],o=a[1],c=s.split("_")[0];c===n&&e.push(o)}return e}function sm(n){var t=n.kernelName,e=n.backendName,r=ru(t,e);Ii.has(r)&&console.warn("The kernel '"+t+"' for backend "+("'"+e+"' is already registered")),Ii.set(r,n)}function om(n){var t=n.kernelName;wa.has(t)&&(qe().getBool("DEBUG")&&console.warn("Overriding the gradient for '"+t+"'")),wa.set(t,n)}function IL(n,t){var e=ru(n,t);if(!Ii.has(e))throw new Error("The kernel '"+n+"' for backend "+("'"+t+"' is not registered"));Ii.delete(e)}function AL(n){if(!wa.has(n))throw new Error("The gradient '"+n+"' for backend is not registered");wa.delete(n)}function TL(n,t){var e=As(n);e.forEach(function(r){var i=Object.assign({},r,{backendName:t});sm(i)})}function 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"+(" Buffer shape="+this.shape);throw new Error(o)}r++}for(var c=t[t.length-1],l=0;l<t.length-1;++l)c+=this.strides[l]*t[l];return this.values[c]},n.prototype.locToIndex=function(t){if(this.rank===0)return 0;if(this.rank===1)return t[0];for(var e=t[t.length-1],r=0;r<t.length-1;++r)e+=this.strides[r]*t[r];return e},n.prototype.indexToLoc=function(t){if(this.rank===0)return[];if(this.rank===1)return[t];for(var e=new Array(this.shape.length),r=0;r<e.length-1;++r)e[r]=Math.floor(t/this.strides[r]),t-=e[r]*this.strides[r];return e[e.length-1]=t,e},Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.toTensor=function(){return _n().makeTensor(this.values,this.shape,this.dtype)},n}(),_n=null,Ai=null;function BL(n){_n=n}function zL(n){Ai=n}var K=function(){function n(t,e,r,i){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=dt(t),this.strides=xi(t),this.dataId=r,this.id=i,this.rankType=this.rank<5?this.rank.toString():"higher"}return Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.buffer=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,Ai.buffer(this.shape,this.dtype,t)]}})})},n.prototype.bufferSync=function(){return Ai.buffer(this.shape,this.dtype,this.dataSync())},n.prototype.array=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,Li(this.shape,t)]}})})},n.prototype.arraySync=function(){return Li(this.shape,this.dataSync())},n.prototype.data=function(){return pe(this,void 0,void 0,function(){var t,e;return fe(this,function(r){switch(r.label){case 0:return this.throwIfDisposed(),t=_n().read(this.dataId),this.dtype==="string"?[4,t]:[3,2];case 1:e=r.sent();try{return[2,e.map(function(i){return cu(i)})]}catch(i){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}r.label=2;case 2:return[2,t]}})})},n.prototype.dataSync=function(){this.throwIfDisposed();var t=_n().readSync(this.dataId);if(this.dtype==="string")try{return t.map(function(e){return cu(e)})}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t},n.prototype.bytes=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,_n().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;_n().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),Ai.print(this,t)},n.prototype.clone=function(){return this.throwIfDisposed(),Ai.clone(this)},n.prototype.toString=function(t){t===void 0&&(t=!1);var e=this.dataSync();return UL(e,this.shape,this.dtype,t)},n.prototype.cast=function(t){return this.throwIfDisposed(),Ai.cast(this,t)},n.prototype.variable=function(t,e,r){return t===void 0&&(t=!0),this.throwIfDisposed(),_n().makeVariable(this,t,e,r)},n}();Object.defineProperty(K,Symbol.hasInstance,{value:function(n){return!!n&&n.data!=null&&n.dataSync!=null&&n.throwIfDisposed!=null}});var Sa=function(n){Yn(t,n);function t(e,r,i,a){var s=n.call(this,e.shape,e.dtype,e.dataId,a)||this;return s.trainable=r,s.name=i,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(!pn(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and "+("previous value ("+this.shape+") must match"));_n().disposeTensor(this),this.dataId=e.dataId,_n().incRef(this,null)},t.prototype.dispose=function(){_n().disposeVariable(this),this.isDisposedInternal=!0},t}(K);Object.defineProperty(Sa,Symbol.hasInstance,{value:function(n){return n instanceof K&&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"})(A.Rank||(A.Rank={}));var uu;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(uu||(uu={}));var hu;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(hu||(hu={}));var du;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})(du||(du={}));var pu;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(pu||(pu={}));var PL={float32:du,int32:uu,bool:hu,complex64:pu};function Cs(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error("Can not upcast "+n+" with "+t)}return PL[n][t]}function ML(n){return Cs(n,"int32")}function ct(n,t){if(n.dtype===t.dtype)return[n,t];var e=Cs(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function um(n,t){E(n.dtype===t.dtype,function(){return"The dtypes of the first("+n.dtype+") and"+(" second("+t.dtype+") input must match")})}function HL(n,t){return t.some(function(e){return e.id===n.id})}function fu(n){var t=[],e=new Set;return hm(n,t,e),t}function hm(n,t,e){if(n==null)return;if(n instanceof K){t.push(n);return}if(!VL(n))return;var r=n;for(var i in r){var a=r[i];e.has(a)||(e.add(a),hm(a,t,e))}}function VL(n){return Array.isArray(n)||typeof n=="object"}var GL={__proto__:null,makeTypesMatch:ct,assertTypesMatch:um,isTensorInList:HL,getTensorsInContainer:fu};var dm=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}(),KL=function(){function n(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new dm}return n.prototype.ready=function(){return pe(this,void 0,void 0,function(){var t,e,r,i;return fe(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?(r=t[e],[4,this.initializeBackend(r).success]):[3,5];case 2:return i=a.sent(),i?[4,this.setBackend(r)]:[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,r=t.asyncInit;if(r)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,r){return r===void 0&&(r=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:r},!0)},n.prototype.setBackend=function(t){return pe(this,void 0,void 0,function(){var e,r,i,a,s;return fe(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),r=e.success,i=e.asyncInit,i?[4,r]:[3,2]):[3,4];case 1:return s=o.sent(),[3,3];case 2:s=r,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 DL(this.backendInstance),[2,!0]}})})},n.prototype.setupRegisteredKernels=function(){var t=this,e=As(this.backendName);e.forEach(function(r){r.setupFunc!=null&&r.setupFunc(t.backendInstance)})},n.prototype.disposeRegisteredKernels=function(t){var e=this,r=As(t);r.forEach(function(i){i.disposeFunc!=null&&i.disposeFunc(e.registry[t])})},n.prototype.initializeBackend=function(t){var e=this,r=this.registryFactory[t];if(r==null)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var i=r.factory();if(i&&!(i instanceof qp)&&typeof i.then=="function"){var a=++this.pendingBackendInitId,s=i.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]=i,{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,r){return t.registryFactory[r].priority-t.registryFactory[e].priority})},n.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var r=t[e],i=this.initializeBackend(r),a=i.success,s=i.asyncInit;if(s||a)return{name:r,asyncInit:s}}throw new Error("Could not initialize any backends, all backend initializations failed.")},n.prototype.moveData=function(t,e){var r=this.state.tensorInfo.get(e),i=r.backend,a=this.readSync(e);i.disposeData(e),r.backend=t,t.move(e,a,r.shape,r.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},n.prototype.tidy=function(t,e){var r=this,i=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");i=t}var a;return this.scopedRun(function(){return r.startScope(i)},function(){return r.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,r){t();try{var i=r();return e(),i}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),r={x:t},i=function(s){return{x:function(){var o="float32",c={x:s},l={dtype:o};return z.runKernelFunc(function(u){return u.cast(s,o)},c,null,Is,l)}}},a=[];return this.addTapeNode(this.state.activeScope.name,r,[e],i,a,{}),e},n.prototype.runKernel=function(t,e,r,i,a){var s=null,o=null;return this.runKernelFunc(s,e,o,t,r,i,a)},n.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},n.prototype.checkKernelForMemLeak=function(t,e,r){var i=this.backend.numDataIds(),a=0;r.forEach(function(c){a+=c.dtype==="complex64"?3:1});var s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=i-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,r,i,a,s,o){var c=this,l,u=[],h=this.isTapeOn();i==null&&(i=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=iu(i,this.backendName),g;if(m!=null)f=function(){var b=c.backend.numDataIds();g=m.kernelFunc({inputs:e,attrs:a,backend:c.backend});var x=Array.isArray(g)?g:[g];c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,b,x);var L=x.map(function(C){var O=C.dataId,D=C.shape,F=C.dtype;return c.makeTensorFromDataId(O,D,F)});if(h){var N=c.getTensorsForGradient(i,e,L);if(N==null){o==null&&(o=[]);var I=L.filter(function(C,O){return o[O]});N=(s||[]).slice().concat(I)}u=c.saveTensorsForBackwardMode(N)}return L};else{var y=function(b){if(!h)return;u=b.map(function(x){return c.keep(c.clone(x))})};f=function(){var b=c.backend.numDataIds();g=c.tidy(function(){return t(c.backend,y)});var x=Array.isArray(g)?g:[g];return c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,b,x),x}}var w;return this.scopedRun(function(){return c.state.kernelDepth++},function(){return c.state.kernelDepth--},function(){!c.ENV.getBool("DEBUG")&&!c.state.profiling?l=f():(w=c.profiler.profileKernel(i,e,function(){return f()}),c.ENV.getBool("DEBUG")&&c.profiler.logKernelProfile(w),l=w.outputs)}),h&&this.addTapeNode(i,e,l,r,u,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:i,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(b){return e[b]!=null?e[b].shape:null}),outputShapes:l.map(function(b){return b.shape}),kernelTimeMs:w.timeMs,extraInfo:w.extraInfo}),Array.isArray(g)?l:l[0]},n.prototype.saveTensorsForBackwardMode=function(t){var e=this,r=t.map(function(i){return e.keep(e.clone(i))});return r},n.prototype.getTensorsForGradient=function(t,e,r){var i=au(t);if(i!=null){var a=i.inputsToSave||[],s=i.outputsToSave||[],o=void 0;i.saveAllInputs?(E(Array.isArray(e),function(){return"saveAllInputs is true, expected inputs to be an array."}),o=Object.keys(e).map(function(l){return e[l]})):o=a.map(function(l){return e[l]});var c=r.filter(function(l,u){return s[u]});return o.concat(c)}return null},n.prototype.makeTensor=function(t,e,r,i){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");r=r||"float32",i=i||this.backend;var a=t;r==="string"&&lr(t[0])&&(a=t.map(function(u){return su(u)}));var s=i.write(a,e,r),o=new K(e,r,s,this.nextTensorId());if(this.incRef(o,i),r==="string"){var c=this.state.tensorInfo.get(s),l=ef(a);this.state.numBytes+=l-c.bytes,c.bytes=l}return o},n.prototype.makeTensorFromDataId=function(t,e,r,i){r=r||"float32";var a=new K(e,r,t,this.nextTensorId());return this.incRef(a,i),a},n.prototype.makeVariable=function(t,e,r,i){e===void 0&&(e=!0),r=r||this.nextVariableId().toString(),i!=null&&i!==t.dtype&&(t=t.cast(i));var a=new Sa(t,e,r,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 r=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++,r===0){this.state.numDataBuffers++;var i=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(i=t.size*Qp(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:i,refCount:0}),this.state.numBytes+=i}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Sa||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),r=e.refCount;r<=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 pe(this,void 0,void 0,function(){var e,r,i,a,s,o,c,l;return fe(this,function(u){switch(u.label){case 0:return this.state.profiling=!0,e=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],i=this.state.activeProfile,[4,t()];case 1:i.result=u.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-r,a=0,s=this.state.activeProfile.kernels,u.label=2;case 2:return a<s.length?(o=s[a],c=o,[4,o.kernelTimeMs]):[3,6];case 3:return c.kernelTimeMs=u.sent(),l=o,[4,o.extraInfo];case 4:l.extraInfo=u.sent(),u.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,r,i,a,s){var o=this,c={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:r,saved:a},l=au(t);l!=null&&(i=l.gradFunc),i!=null&&(c.gradient=function(u){return u=u.map(function(h,d){if(h==null){var p=r[d],f=Si(p.size,p.dtype);return o.makeTensor(f,p.shape,p.dtype)}return h}),i(u.length>1?u:u[0],a,s)}),this.state.activeTape.push(c)},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,r=fu(t),i=new Set(r.map(function(c){return c.id})),a=0;a<this.state.activeScope.track.length;a++){var s=this.state.activeScope.track[a];!s.kept&&!i.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],r.forEach(function(c){!c.kept&&c.scopeId===o.id&&e.track(c)})},n.prototype.gradients=function(t,e,r,i){var a=this;if(i===void 0&&(i=!1),E(e.length>0,function(){return"gradients() received an empty list of xs."}),r!=null&&r.dtype!=="float32")throw new Error("dy must have 'float32' dtype, but has '"+r.dtype+"'");var s=this.scopedRun(function(){return a.startTape()},function(){return a.endTape()},function(){return a.tidy("forward",t)});E(s instanceof K,function(){return"The result y returned by f() must be a tensor."});var o=kL(this.state.activeTape,e,s);if(!i&&o.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var c={};c[s.id]=r??qL(s.shape),FL(c,o,function(u){return a.tidy(u)},YL);var l=e.map(function(u){return c[u.id]});return a.state.gradientDepth===0&&(a.state.activeTape.forEach(function(u){for(var h=0,d=u.saved;h<d.length;h++){var p=d[h];p.dispose()}}),a.state.activeTape=null),{value:s,grads:l}})},n.prototype.customGrad=function(t){var e=this;return E(ur(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var r=[],i=0;i<arguments.length;i++)r[i]=arguments[i];E(r.every(function(o){return o instanceof K}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a,s={};return r.forEach(function(o,c){s[c]=o}),e.runKernelFunc(function(o,c){return a=t.apply(void 0,r.concat([c])),E(a.value instanceof K,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a 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this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: "+("modelTopologyBytes="+i.modelTopologyBytes+", ")+("weightSpecsBytes="+i.weightSpecsBytes+", ")+("weightDataBytes="+i.weightDataBytes+"."))}return[2]})})},n.prototype.load=function(){return pe(this,void 0,void 0,function(){var t,e,r,i,a,s,o;return fe(this,function(c){if(t=JSON.parse(this.LS.getItem(this.keys.info)),t==null)throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if(e={},r=JSON.parse(this.LS.getItem(this.keys.topology)),r==null)throw new Error("In local storage, the topology of model 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Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return r=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:r},a=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),s=this.jsonAnchor==null?document.createElement("a"):this.jsonAnchor,s.download=this.modelTopologyFileName,s.href=a,[4,_m(function(){return s.dispatchEvent(new MouseEvent("click"))})];case 2:return c.sent(),t.weightData!=null?(o=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor,o.download=this.weightDataFileName,o.href=e,[4,_m(function(){return o.dispatchEvent(new MouseEvent("click"))})]):[3,4];case 3:c.sent(),c.label=4;case 4:return[2,{modelArtifactsInfo:Aa(t)}]}})})},n.URL_SCHEME="downloads://",n}(),kS=function(){function n(t){if(t==null||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+("but received "+t));this.files=t}return n.prototype.load=function(){return pe(this,void 0,void 0,function(){var t,e,r=this;return fe(this,function(i){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(a,s){var o=new FileReader;o.onload=function(c){var l=JSON.parse(c.target.result),u=l.modelTopology;if(u==null){s(new Error("modelTopology field is missing from file "+t.name));return}e.length===0&&a({modelTopology:u});var h=l.weightsManifest;if(h==null){s(new Error("weightManifest field is missing from file "+t.name));return}var d;try{d=r.checkManifestAndWeightFiles(h,e)}catch(g){s(g);return}var p=[],f=[],m=[];h.forEach(function(g){g.paths.forEach(function(y){f.push(y),m.push(null)}),p.push.apply(p,g.weights)}),h.forEach(function(g){g.paths.forEach(function(y){var w=new FileReader;w.onload=function(b){var x=b.target.result,L=f.indexOf(y);m[L]=x,m.indexOf(null)===-1&&a({modelTopology:u,weightSpecs:p,weightData:yu(m),format:l.format,generatedBy:l.generatedBy,convertedBy:l.convertedBy,userDefinedMetadata:l.userDefinedMetadata})},w.onerror=function(b){return s("Failed to weights data from file of path '"+y+"'.")},w.readAsArrayBuffer(d[y])})})},o.onerror=function(c){return s("Failed to read model topology and weights manifest JSON "+("from file '"+t.name+"'. 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input "+l+") must "+("match input depth in filter ("+e[2]+".")}),E(u===e[3],function(){return"Error in conv2dDerFilter: depth of dy ("+u+") must "+("match output depth for filter ("+e[3]+").")}),s!=null&&E(ot(i),function(){return"Error in conv2dDerFilter: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+i+".")});var h=function(f){var m=1,g=Ta(a),y=mn(o.shape,e,r,m,i,s,!1,g);return f.conv2dDerFilter(o,c,y)},d={x:o,dy:c},p={strides:r,pad:i,dataFormat:a,dimRoundingMode:s,filterShape:e};return z.runKernelFunc(h,d,null,ff,p)}var oh=U({conv2DBackpropFilter_:S_});function ro(n,t,e){if(e==null||e==="linear")return n;if(e==="relu")return Z(n,Pi(t));throw new Error("Cannot compute gradient for fused activation "+e+".")}function io(n,t){var e=t,r=bt(n.shape,t.shape);return r.length>0&&(e=_e(e,r)),Y(e,n.shape)}function ao(n,t,e){if(t==="linear")return n;if(t==="relu")return ka(n);if(t==="elu")return Pu(n);if(t==="relu6")return eh(n);if(t==="prelu")return Xu(n,e);throw new 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I=p.shape.slice(0,-2).concat([y,w]),C=a?Y(p,[L,m,y]):Y(p,[L,y,m]),O=o?Y(f,[N,w,g]):Y(f,[N,g,w]),D;c!=null&&(D=R(c,"bias","fused matMul"),D=ct(D,p)[0],it(I,D.shape));var F;h!=null&&(F=R(h,"prelu weights","fused matMul"));var k=function(q,H){var J=H[0],$=H[1],ee=H[2],te=H[3],ne=ro(Y(q,ee.shape),ee,u),re,ie;if(!a&&!o?(re=Ue(ne,$,!1,!0),ie=Ue(J,ne,!0,!1)):!a&&o?(re=Ue(ne,$,!1,!1),ie=Ue(ne,J,!0,!1)):a&&!o?(re=Ue($,ne,!1,!0),ie=Ue(J,ne,!1,!1)):(re=Ue($,ne,!0,!0),ie=Ue(ne,J,!0,!0)),c!=null){var oe=io(te,ne);return[re,ie,oe]}else return[re,ie]},B=function(q){var H=q.fusedBatchMatMul({a:C,b:O,transposeA:a,transposeB:o,bias:D,activation:u,preluActivationWeights:F});return H},V={a:C,b:O,bias:D,preluActivationWeights:F},P={transposeA:a,transposeB:o,activation:u};if(c==null){var G=En(function(q,H,J){var $=z.runKernelFunc(B,V,null,eu,P);return J([q,H,$]),{value:Y($,I),gradFunc:k}});return G(C,O)}else{var j=En(function(q,H,J,$){var ee=z.runKernelFunc(B,V,null,eu,P);return 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e(r.learningRate,r.beta1,r.beta2,r.epsilon,r.decay)},t.className="Adamax",t}(wr);gr(dh);var oo=function(n){Yn(t,n);function t(e){var r=n.call(this)||this;return r.learningRate=e,r.setLearningRate(e),r}return t.prototype.applyGradients=function(e){var r=this,i=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);i.forEach(function(a,s){var o=Array.isArray(e)?e[s].tensor:e[a];if(o==null)return;var c=z.registeredVariables[a];wt(function(){var l=ge(Z(r.c,o),c);c.assign(l)})}),this.incrementIterations()},t.prototype.setLearningRate=function(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Zm(Le(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getWeights=function(){return pe(this,void 0,void 0,function(){return fe(this,function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()]]}})})},t.prototype.setWeights=function(e){return pe(this,void 0,void 0,function(){return fe(this,function(r){switch(r.label){case 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')+"The following previous layers were accessed without "+("issue: "+ve))}for(var ue=0,et=V.outputTensors;ue<et.length;ue++){var o=et[ue];ye.push(o)}ve.push(c.name)}}r.nodesByDepth=J;for(var pt=r.layers.map(function(Te){return Te.name}),He=function(Te){var ht=pt.filter(function(ft){return ft===Te}).length;if(ht!==1)throw new Dn('The name "'+Te+'" is used '+ht+" times in the model. All layer names should be unique. 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e=[],r=0,i=this.layers;r<i.length;r++){var a=i[r];e=e.concat(a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],r=0,i=this.layers;r<i.length;r++){var a=i[r];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,c=this.layers;o<c.length;o++){var a=c[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,r){r===void 0&&(r=!0);for(var i={},a=0,s=0,o=this.layers;s<o.length;s++)for(var c=o[s],l=0,u=c.weights;l<u.length;l++){var h=u[l];if(i[h.originalName]!=null)throw new M("Duplicate weight name: "+h.originalName);i[h.originalName]=h,a++}var d=[];for(var p in e){var f=p;if(i[p]==null){var m=p.split("/"),g=m.slice(0,-2).concat([m[m.length-1]]);f=g.join("/")}if(i[f]!=null)d.push([i[f],e[p]]);else if(r)throw new M("Provided weight data has no target variable: "+p);delete i[f]}if(r){var y=[];for(var w in i)y.push(w);if(y.length>0)throw new M(y.length+" of "+a+" weights are not set: "+(""+y))}Fh(d)},t.prototype.updatedConfig=function(){var e=this.getConfig(),r={};return r.className=this.getClassName(),r.config=e,r.kerasVersion="tfjs-layers "+Vh,r.backend="TensorFlow.js",r},t.prototype.toJSON=function(e,r){r===void 0&&(r=!0);var i=Hh(this.updatedConfig());return r?JSON.stringify(i):i},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=nt(e);for(var a=new Ki,s=0;s<i.inputs.length;++s)a.add(i.inputs[s],e[s]);return Ka(i.outputs,a,r)})},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){e=nt(e);var a;return r==null?a=ti(null,e.length):a=nt(r),i.runInternalGraph(e,a)[1]})},t.prototype.computeOutputShape=function(e){var r=fo(e);if(r.length!==this.inputLayers.length)throw new M("Invalid inputShape argument "+e+": "+("model has "+this.inputLayers.length+" tensor inputs."));for(var i={},a=0;a<r.length;a++){var s=this.inputLayers[a],o=r[a],c=s.name+"_0_0";i[c]=o}var l=Object.keys(this.nodesByDepth).map(function(B){return parseInt(B,10)}).sort(co);if(l.length>1)for(var u=0,h=l;u<h.length;u++)for(var d=h[u],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){var g=m[f],s=g.outboundLayer;if(this.inputLayers.map(function(V){return V.id}).indexOf(s.id)!==-1)continue;for(var y=[],w=0;w<g.inboundLayers.length;w++){var b=g.inboundLayers[w],x=g.nodeIndices[w],L=g.tensorIndices[w],c=b.name+"_"+x+"_"+L,N=i[c];y.push(N)}for(var I=s.computeOutputShape(Vt(y)),C=fo(I),O=s.inboundNodes.indexOf(g),w=0;w<C.length;w++){var c=s.name+"_"+O+"_"+w;i[c]=C[w]}}for(var D=[],F=[],a=0;a<this.outputLayers.length;a++){var s=this.outputLayers[a],O=this.outputLayersNodeIndices[a],L=this.outputLayersTensorIndices[a],c=s.name+"_"+O+"_"+L;F.push(c)}for(var a=0;a<F.length;a++){var k=F[a];kn(k in i),D.push(i[k])}return Vt(D)},t.prototype.runInternalGraph=function(e,r){r==null&&(r=ti(null,e.length));for(var i={},a=0;a<this.inputs.length;++a){var s=this.inputs[a],o=e[a],c=r[a];i[s.id]=[o,c]}for(var l=Object.keys(this.nodesByDepth).map(function(ee){return parseInt(ee,10)}).sort(co),u=0,h=l;u<h.length;u++)for(var d=h[u],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){for(var g=m[f],y=g.outboundLayer,w=g.inputTensors,b=g.outputTensors,x=new Array,L=0,N=w;L<N.length;L++){var s=N[L];s.id in i&&x.push(i[s.id])}if(x.length===w.length){var I={},C=void 0,O=void 0,D=void 0,F=void 0;if(g.callArgs!=null&&(I=g.callArgs),x.length===1){var k=x[0],B=k[0],V=k[1];I.mask==null&&(I.mask=V),D=nt(y.call(B,I)),F=nt(y.computeMask(B,V)),C=[B],O=[V]}else C=x.map(function(ee){return ee[0]}),O=x.map(function(ee){return ee[1]}),I.mask==null&&(I.mask=O),D=nt(y.call(C,I)),F=nt(y.computeMask(C,O));if(y.activityRegularizer)throw new Re("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var a=0;a<b.length;++a){var s=b[a],o=D[a],c=F[a];i[s.id]=[o,c]}}}for(var P=[],G=[],j=[],q=0,H=this.outputs;q<H.length;q++){var s=H[q];kn(s.id in i,"Could not compute output "+s.name+" : "+s.id);var J=i[s.id],$=J[0],c=J[1];j.push($.shape),P.push($),G.push(c)}return[P,G,j]},t.prototype.buildNodeConversionMap=function(e){for(var r={},i,a=0,s=this.layers;a<s.length;a++){var o=s[a];i=o instanceof t?1:0;for(var c=0;c<o.inboundNodes.length;c++){var l=t.nodeKey(o,c);this.containerNodes.has(l)&&(r[l]=i,i+=1)}}return r},t.prototype.getLayer=function(e,r){if(r!=null){if(this.layers.length<=r)throw new M("Was asked to retrieve layer at index "+r+", but model only "+("has "+this.layers.length+" layer(s)."));return this.layers[r]}else if(e==null)throw new M("Provide either a layer name or layer index");for(var i=0,a=this.layers;i<a.length;i++){var s=a[i];if(s.name===e)return s}throw new M("No such layer: "+e)},t.prototype.calculateLosses=function(){var e=this;return v.tidy(function(){for(var r=[],i=0,a=e.layers;i<a.length;i++)for(var s=a[i],o=0;o<s.inboundNodes.length;++o){var c=t.nodeKey(s,o);e.containerNodes.has(c)&&r.push.apply(r,s.calculateLosses())}return r})},t.prototype.getConfig=function(){for(var e={name:this.name},r=this.buildNodeConversionMap(this.layers),i=[],a=0,s=this.layers;a<s.length;a++){for(var o=s[a],c=o.getClassName(),l=o.getConfig(),u=[],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(O){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 y=d.inboundLayers[g],w=d.nodeIndices[g],b=d.tensorIndices[g],x=t.nodeKey(y,w),L=r[x];L==null&&(L=0),m.push([y.name,L,b,f])}u.push(m)}}}var N={};N.name=o.name,N.className=c,N.config=l,N.inboundNodes=u,i.push(N)}e.layers=i;for(var I=[],g=0;g<this.inputLayers.length;g++){var o=this.inputLayers[g],w=this.inputLayersNodeIndices[g],p=t.nodeKey(o,w);if(!this.containerNodes.has(p))continue;var L=r[p];L==null&&(L=0);var b=this.inputLayersTensorIndices[g];I.push([o.name,L,b])}e.inputLayers=I;for(var C=[],g=0;g<this.outputLayers.length;g++){var o=this.outputLayers[g],w=this.outputLayersNodeIndices[g],p=t.nodeKey(o,w);if(!this.containerNodes.has(p))continue;var L=r[p];L==null&&(L=0);var b=this.outputLayersTensorIndices[g];C.push([o.name,L,b])}return e.outputLayers=C,e},t.fromConfig=function(e,r,i,a){a===void 0&&(a=!1);var s={},o={};function c(H,J){H.name in o?o[H.name].push(J):o[H.name]=[J]}function l(H,J){for(var $=[],ee,te=0,ne=J;te<ne.length;te++){var re=ne[te],ie=re[0],oe=re[1],se=re[2];if(ee=re[3]==null?{}:re[3],!(ie in s)){c(H,J);return}var me=s[ie];if(me.inboundNodes.length<=oe){c(H,J);return}var ye=me.inboundNodes[oe];$.push(ye.outputTensors[se])}$.length>0&&H.apply(Vt($),ee)}function u(H){var J=H.name,$=Ln(H,r.customObjects!=null?r.customObjects:{});$.setFastWeightInitDuringBuild(a),s[J]=$;var ee=H.inboundNodes;ee.forEach(function(te){if(!(te instanceof Array))throw new M("Corrupted configuration, expected array for nodeData: "+te);c($,te)})}for(var h=r.name,d=r.layers,p=0,f=d;p<f.length;p++){var m=f[p];u(m)}for(;!xO(o);)for(var g=0,y=d;g<y.length;g++){var m=y[g],w=s[m.name];if(w.name in o){var b=o[w.name];delete o[w.name];for(var x=0,L=b;x<L.length;x++){var N=L[x];l(w,N)}}}for(var I=[],C=[],O=r.inputLayers,D=0,F=O;D<F.length;D++){var m=F[D],k=m[0],B=m[1],V=m[2];kn(k in s);var w=s[k],P=w.inboundNodes[B].outputTensors;I.push(P[V])}for(var G=r.outputLayers,j=0,q=G;j<q.length;j++){var m=q[j],k=m[0],B=m[1],V=m[2];kn(k in s);var w=s[k],P=w.inboundNodes[B].outputTensors;C.push(P[V])}return new e({inputs:I,outputs:C,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,r=this.layers;e<r.length;e++){var i=r[e];if(i.stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;v.tidy(function(){e.layers.forEach(function(r){r.stateful&&r.resetStates()})})},t}(Fe);function YE(n,t,e){var r=t.length;if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(a){return null});if(r===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!==r)throw new Error("Provided "+e+" is an array of "+n.length+" "+("element(s), but the model has "+r+" 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 i=[];return t.forEach(function(a){a in n?i.push(n[a]):i.push(null)}),i}else throw new Error("The model has multiple ("+r+") outputs, "+("so "+e+" must be either an array with ")+(r+" elements or an object with "+t+" keys. ")+("Provided "+e+" not understood: "+JSON.stringify(n)))}function Dy(n,t){return YE(n,t,"classWeight")}function ky(n,t,e,r){return Ae(this,void 0,void 0,function(){var i,a,s,o,c;return xe(this,function(l){switch(l.label){case 0:if(t!=null||r!=null)throw new Error("Support sampleWeight is not implemented yet");return e!=null?(i=v.tidy(function(){if(n.shape.length===1)return n.clone();if(n.shape.length===2)if(n.shape[1]>1){var u=1;return n.argMax(u)}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,i.data()]):[3,2];case 1:return a=o.apply(s,[l.sent()]),v.dispose(i),c=[],a.forEach(function(u){if(e[u]==null)throw new Error("classWeight must contain all classes in the training data. "+("The class "+u+" exists in the data but not in ")+"classWeight");c.push(e[u])}),[2,v.tensor1d(c,"float32")];case 2:return[2,null]}})})}function KE(n,t){return v.mul(n,t)}var jE=32;function Wy(n,t){var e,r,i=t;e=i.xs,r=i.ys,v.util.assert(e!=null&&r!=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=Fy("input",n.inputNames,e),s=Fy("output",n.outputNames,r),o=a[0].shape[0];v.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)+")")}),v.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 c=function(d){v.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]+".")})},l=0;l<a.length;l++)c(l);for(var u=function(d){v.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++)u(h);return{xs:a,ys:s}}function Fy(n,t,e){if(e instanceof v.Tensor)return[e];if(Array.isArray(e))return v.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 r=[],i=0,a=t;i<a.length;i++){var s=a[i];if(e[s]==null)throw new M("The feature data generated by the dataset lacks the required "+(n+" key '"+s+"'."));r.push(e[s])}return r}function $E(n){if(n.length===3)throw new Re("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}function JE(n,t,e){return Ae(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,x,L,N,I,C,O,D,F,k,B,V,P,G,k,j,q,H,J,k;return xe(this,function($){switch($.label){case 0:if(r=e.batchesPerEpoch!=null,v.util.assert(n.optimizer!=null,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),v.util.assert(e!=null,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),v.util.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive "+("integer, but got "+e.epochs)}),v.util.assert(!r||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+("positive integer if specified, but got "+e.batchesPerEpoch)}),v.util.assert(e.validationSplit==null,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,$.label=1;case 1:return $.trys.push([1,,26,27]),i=e.validationData!=null,a=void 0,s=void 0,i&&(Uy(e.validationData)?v.util.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+("but got "+e.validationBatches)}):(o=$E(e.validationData),a=o.xs,s=o.ys)),c=n.makeTrainFunction(),l=n.getDedupedMetricsNames(),u=void 0,i?u=l.slice().concat(l.map(function(ee){return"val_"+ee})):u=l.slice(),h=by(e.callbacks,e.yieldEvery),d=e.verbose==null?1:e.verbose,p=Ly(h,d,e.epochs,null,null,XE(t,e),null,i,u),f=p.callbackList,m=p.history,f.setModel(n),n.history=m,[4,f.onTrainBegin()];case 2:return $.sent(),n.stopTraining_=!1,g=e.initialEpoch==null?0:e.initialEpoch,[4,t.iterator()];case 3:y=$.sent(),$.label=4;case 4:return g<e.epochs?(w={},[4,f.onEpochBegin(g)]):[3,23];case 5:return $.sent(),b=0,x=0,r?[3,7]:[4,t.iterator()];case 6:y=$.sent(),$.label=7;case 7:return(r?b<e.batchesPerEpoch:!0)?[4,y.next()]:[3,21];case 8:return L=$.sent(),r&&L.done?(console.warn("You provided `batchesPerEpoch` as "+(e.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(b+" batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+(e.batchesPerEpoch*e.epochs+" batches). ")+"You may need to use the repeat() function when building your dataset."),[3,21]):L.value!=null?(N=Wy(n,L.value),I=N.xs,C=N.ys,O={},O.batch=x,O.size=I[0].shape[0],[4,f.onBatchBegin(x,O)]):[3,15];case 9:if($.sent(),D=[],!(e.classWeight!=null))return[3,13];F=Dy(e.classWeight,n.outputNames),k=0,$.label=10;case 10:return k<F.length?(V=(B=D).push,[4,ky(C[k],null,F[k])]):[3,13];case 11:V.apply(B,[$.sent()]),$.label=12;case 12:return++k,[3,10];case 13:for(P=I.concat(C).concat(D),G=c(P),v.dispose(P),k=0;k<l.length;++k)j=l[k],q=G[k],O[j]=q,v.keep(q);return[4,f.onBatchEnd(x,O)];case 14:$.sent(),my(O),x++,b++,$.label=15;case 15:return(r?b>=e.batchesPerEpoch:L.done)?i?(H=void 0,Uy(e.validationData)?(J=nt,[4,n.evaluateDataset(e.validationData,{batches:e.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return H=J.apply(void 0,[$.sent()]),[3,18];case 17:H=nt(n.evaluate(a,s,{batchSize:e.validationBatchSize==null?jE:e.validationBatchSize,verbose:0})),$.label=18;case 18:for(k=0;k<n.metricsNames.length;++k)w["val_"+n.metricsNames[k]]=H[k];$.label=19;case 19:return[3,21];case 20:return n.stopTraining_?[3,21]:[3,7];case 21:return[4,f.onEpochEnd(g,w)];case 22:return $.sent(),g++,n.stopTraining_?[3,23]:[3,4];case 23:return[4,f.onTrainEnd()];case 24:return $.sent(),[4,n.history.syncData()];case 25:return $.sent(),[2,n.history];case 26:return n.isTraining=!1,[7];case 27:return[2]}})})}function XE(n,t){var e=null;return t.batchesPerEpoch!=null?e=t.batchesPerEpoch:Number.isFinite(n.size)&&(e=n.size),e}function Uy(n){return typeof n.iterator=="function"}function ZE(n){return typeof n.next=="function"}function QE(n,t,e){return Ae(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p;return xe(this,function(f){switch(f.label){case 0:if(e=e||{},r=e.batches!=null,i=n.testFunction,a=[],e.verbose>0)throw new Re("Verbose mode is not implemented yet.");return v.util.assert(!r||e.batches>0&&Number.isInteger(e.batches),function(){return"Test loop expects `batches` to be a positive integer, but "+("received "+JSON.stringify(e.batches))}),ZE(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,c=0,l=0,u=function(){var m;return xe(this,function(g){switch(g.label){case 0:return[4,s.next()];case 1:return m=g.sent(),a=v.tidy(function(){if(m.value){var y=Wy(n,m.value),w=y.xs,b=y.ys,x=w.concat(b),L=v.tidy(function(){return i(x)});if(v.dispose(x),l===0)for(var N=0;N<L.length;++N)a.push(v.scalar(0));for(var I=x[0].shape[0],C=function(O){var D=L[O],F=a[O];a[O]=v.tidy(function(){return v.add(a[O],v.mul(I,D))}),l>0&&v.dispose(F)},N=0;N<L.length;++N)C(N);v.dispose(L),c+=I,++l}return a}),m.done?(r&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+e.batches+" batches). 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Need data for each key in: '+(""+t));o.push(n[u])}}else if(jh(n)){if(n=n,n.length!==t.length)throw new M("Error when checking model "+i+": 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 "+i+" expects "+t.length+" Tensor(s), "+("but only received one Tensor. 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We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+c+" during training")),i.push(Uh(e.loss[c]))}}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 l=e.loss;i=l.map(function(y){return Uh(y)})}else{var u=Uh(e.loss);this.outputs.forEach(function(y){i.push(u)})}this.lossFunctions=i,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=[],ri("loss",function(){for(var y=0;y<r.outputs.length;++y){if(f.indexOf(y)!==-1)continue;var w=r.lossFunctions[y];r.outputs.length>1&&(r.metricsTensors.push([w,y]),r.metricsNames.push(r.outputNames[y]+"_loss"))}});var m=a7(e.metrics,this.outputNames),g=function(y,w,b){r.outputNames.length>1&&(w=r.outputNames[y]+"_"+w),r.metricsNames.push(w),r.metricsTensors.push([b,y])};ri("metric",function(){for(var y=function(b){if(f.indexOf(b)!==-1)return"continue";var x=m[b],L=function(N){for(var I="",C,O,D,F=function(P){if(typeof P=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(P)!==-1){var G=r.internalOutputShapes[b];G[G.length-1]===1||r.lossFunctions[b]===bo?["accuracy","acc"].indexOf(P)!==-1?O=Bh:["crossentropy","ce"].indexOf(P)!==-1&&(O=Ay):r.lossFunctions[b]===wo?["accuracy","acc"].indexOf(P)!==-1?O=Ty:["crossentropy","ce"].indexOf(P)!==-1&&(O=Ny):["accuracy","acc"].indexOf(P)!==-1?O=zh:["crossentropy","ce"].indexOf(P)!==-1&&(O=Ph);var j=void 0;["accuracy","acc"].indexOf(P)!==-1?j="acc":["crossentropy","ce"].indexOf(P)!==-1&&(j="ce"),D=O,C=I+j}else{var q=kE(P);D=q,C=I+So(P)}var H;ri(C,function(){H=D}),g(b,C,H)},k=0,B=N;k<B.length;k++){var V=B[k];F(V)}};L(x)},w=0;w<r.outputs.length;++w)y(w)}),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,r,i){i===void 0&&(i={});var a=i.batchSize==null?32:i.batchSize;qh(a);var s=!0,o=this.standardizeUserDataXY(e,r,s,a);try{var c=o[0].concat(o[1]);this.makeTestFunction();var l=this.testFunction,u=this.testLoop(l,c,a,i.verbose,i.steps);return Vt(u)}finally{si(o[0],e),si(o[1],r)}},t.prototype.evaluateDataset=function(e,r){return Ae(this,void 0,void 0,function(){return xe(this,function(i){return this.makeTestFunction(),[2,QE(this,e,r)]})})},t.prototype.checkNumSamples=function(e,r,i,a){a===void 0&&(a="steps");var s;if(i!=null){if(s=null,r!=null)throw new M("If "+a+" is set, batchSize must be null or undefined."+("Got batchSize = "+r))}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,r){if(Array.isArray(r)&&r.length===0)throw new M("`outputs` is an empty Array, which is not allowed.");var i=Array.isArray(r),a=i?r:[r],s=this.retrieveSymbolicTensors(a),o=new Ki;if(e instanceof v.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 c=0;c<this.inputs.length;++c)o.add(this.inputs[c],e[c])}else for(var l=0,u=this.inputs;l<u.length;l++){var h=u[l],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=Ka(s,o);return i?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var r=ti(null,e.length),i=e.length,a=0,s=this.layers;a<s.length;a++){for(var o=s[a],c=Array.isArray(o.output)?o.output:[o.output],l=c.map(function(p){return p.name}),u=0;u<e.length;++u){var h=l.indexOf(e[u]);if(h!==-1&&(r[u]=c[h],i--),i===0)break}if(i===0)break}if(i>0){var d=[];throw r.forEach(function(p,f){p==null&&d.push(e[f])}),new M("Cannot find SymbolicTensors for output name(s): "+(""+JSON.stringify(d)))}return r},t.prototype.predictLoop=function(e,r,i){var a=this;return r===void 0&&(r=32),i===void 0&&(i=!1),v.tidy(function(){var s=a.checkNumSamples(e);if(i)throw new Re("Verbose predictLoop() is not implemented yet.");for(var o=Kh(s,r),c=a.outputs.map(function(h){return[]}),l=function(h){var d=v.tidy(function(){var p=o[h][0],f=o[h][1],m=ja(e,p,f),g=[];if(Array.isArray(m))for(var y=0;y<m.length;++y)g.push({key:a.inputs[y],value:m[y]});else g.push({key:a.inputs[0],value:m});var w=new Ki(g);return Ka(a.outputs,w)});d.forEach(function(p,f){return c[f].push(p)})},u=0;u<o.length;++u)l(u);return Vt(c.map(function(h){return v.concat(h,0)}))})},t.prototype.predict=function(e,r){r===void 0&&(r={});var i=By(e);My(i,this.inputNames,this.feedInputShapes,!1);try{var a=r.batchSize==null?32:r.batchSize;return qh(a),this.predictLoop(i,a)}finally{si(i,e)}},t.prototype.predictOnBatch=function(e){My(e,this.inputNames,this.feedInputShapes,!0);var r=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,r)},t.prototype.standardizeUserDataXY=function(e,r,i,a){if(this.optimizer_==null)throw new Dn("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var s=[],o=0;o<this.feedOutputShapes.length;++o){var c=this.feedOutputShapes[o],l=this.feedLossFns[o];l===wo?s.push(c.slice(0,c.length-1).concat([1])):s.push(c)}if(e=Py(e,this.feedInputNames,this.feedInputShapes,!1,"input"),r=Py(r,this.feedOutputNames,s,!1,"target"),r7(e,r),i7(r,this.feedLossFns,this.feedOutputShapes),this.stateful&&a!=null&&a>0&&e[0].shape[0]%a!==0)throw new M("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(a+". Found: "+e[0].shape[0]+" sample(s)."));return[e,r]},t.prototype.standardizeUserData=function(e,r,i,a,s,o){return s===void 0&&(s=!0),Ae(this,void 0,void 0,function(){var c,l,u,h,d,p,f,m;return xe(this,function(g){switch(g.label){case 0:if(c=this.standardizeUserDataXY(e,r,s,o),l=c[0],u=c[1],i!=null)throw new Error("sample weight is not supported yet.");if(h=null,!(a!=null))return[3,4];d=Dy(a,this.outputNames),h=[],p=0,g.label=1;case 1:return p<d.length?(m=(f=h).push,[4,ky(u[p],null,d[p])]):[3,4];case 2:m.apply(f,[g.sent()]),g.label=3;case 3:return++p,[3,1];case 4:return[2,[l,u,h]]}})})},t.prototype.testLoop=function(e,r,i,a,s){var o=this;return a===void 0&&(a=0),v.tidy(function(){var c=o.checkNumSamples(r,i,s,"steps"),l=[];if(a>0)throw new Re("Verbose mode is not implemented yet.");if(s!=null)throw new Re("steps mode in testLoop() is not implemented yet");for(var u=Kh(c,i),h=v.tensor1d(bn(0,c)),d=0;d<u.length;++d){var p=u[d][0],f=u[d][1],m=ii(h,p,f-p),g=Yh(r,m),y=e(g);if(d===0)for(var w=0;w<y.length;++w)l.push(v.scalar(0));for(var w=0;w<y.length;++w){var b=y[w];l[w]=v.add(l[w],v.mul(f-p,b))}}for(var w=0;w<l.length;++w)l[w]=v.div(l[w],c);return l})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,r=[],i=0;i<e.length;++i){var a=e[i],s=a;if(U0(e,a)>1){var o=U0(e.slice(0,i),a);s+="_"+o}r.push(s)}return r},t.prototype.makeTrainFunction=function(){var e=this;return function(r){var i=[],a=r.slice(0,e.inputs.length),s=r.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=r.slice(e.inputs.length+e.outputs.length,e.inputs.length+e.outputs.length*2),c=[],l=function(){for(var p=[],f=0;f<e.inputs.length;++f)p.push({key:e.inputs[f],value:a[f]});for(var m=new Ki(p),g=Ka(e.outputs,m,{training:!0}),y,f=0;f<e.lossFunctions.length;++f){var w=e.lossFunctions[f],b=w(s[f],g[f]);o[f]!=null&&(b=KE(b,o[f]));var x=v.mean(b);i.push(x),f===0?y=b:y=v.add(y,b)}for(var f=0;f<e.metricsTensors.length;++f){var L=void 0;if(e.outputs.length>1&&f<e.outputs.length)L=i[f];else{var N=e.metricsTensors[f][0],I=e.metricsTensors[f][1];L=v.mean(N(s[I],g[I]))}v.keep(L),c.push(L)}return y=v.mean(y),e.calculateLosses().forEach(function(C){y=v.add(y,C)}),y},u=e.collectedTrainableWeights.map(function(p){return p.read()}),h=!0,d=e.optimizer_.minimize(l,h,u);return[d].concat(c)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(r){return v.tidy(function(){for(var i=[],a,s=r.slice(0,e.inputs.length),o=r.slice(e.inputs.length,e.inputs.length+e.outputs.length),c=[],l=0;l<e.inputs.length;++l)c.push({key:e.inputs[l],value:s[l]});for(var u=new Ki(c),h=Ka(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var d=e.lossFunctions[l],p=v.mean(d(o[l],h[l]));l===0?a=p:a=v.add(a,p),i.push(a)}for(var l=0;l<e.metricsTensors.length;++l){var f=e.metricsTensors[l][0],m=e.metricsTensors[l][1],g=v.mean(f(o[m],h[m]));i.push(g)}return i})}},t.prototype.fit=function(e,r,i){return i===void 0&&(i={}),Ae(this,void 0,void 0,function(){return xe(this,function(a){return[2,t7(this,e,r,i)]})})},t.prototype.fitDataset=function(e,r){return Ae(this,void 0,void 0,function(){return xe(this,function(i){return[2,JE(this,e,r)]})})},t.prototype.trainOnBatch=function(e,r){return Ae(this,void 0,void 0,function(){var i,a,s,o,c,l,u,h,d,p;return xe(this,function(f){switch(f.label){case 0:return[4,this.standardizeUserData(e,r)];case 1:i=f.sent(),a=i[0],s=i[1],o=this.makeTrainFunction(),c=o(a.concat(s)),l=[],u=0,h=c,f.label=2;case 2:return u<h.length?(d=h[u],[4,d.data()]):[3,5];case 3:p=f.sent(),l.push(p[0]),f.label=4;case 4:return u++,[3,2];case 5:return v.dispose(c),[2,Vt(l)]}})})},t.prototype.getNamedWeights=function(e){for(var r=[],i=e!=null&&e.trainableOnly,a=i?this.trainableWeights:this.weights,s=this.getWeights(i),o=0;o<a.length;++o){if(i&&!a[o].trainable)continue;r.push({name:a[o].originalName,tensor:s[o]})}return r},Object.defineProperty(t.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var e=n.prototype.dispose.call(this);if(e.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){var r=v.memory().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=r-v.memory().numTensors}return e},t.prototype.getLossIdentifiers=function(){var e;if(typeof this.loss=="string")e=Qn(this.loss);else if(Array.isArray(this.loss)){for(var r=0,i=this.loss;r<i.length;r++){var a=i[r];if(typeof a!="string")throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map(function(h){return Qn(h)})}else{var s=Object.keys(this.loss);e={};for(var o=this.loss,c=0,l=s;c<l.length;c++){var u=l[c];if(typeof o[u]=="string")e[u]=Qn(o[u]);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[Qn(So(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(i){return Qn(So(i))});var e={};for(var r in this.metrics)e[r]=Qn(So(this.metrics[r]));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 r=Ya(e.optimizer_config),i=Ln(r),a;if(typeof e.loss=="string")a=ni(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(function(c){return ni(c)});else if(e.loss!=null){a={};for(var s in e.loss)a[s]=ni(e.loss[s])}var o;if(Array.isArray(e.metrics))o=e.metrics.map(function(c){return ni(c)});else if(e.metrics!=null){o={};for(var s in e.metrics)o[s]=ni(e.metrics[s])}this.compile({loss:a,metrics:o,optimizer:i})},t.prototype.save=function(e,r){return Ae(this,void 0,void 0,function(){var i,a,s,o,c,l,u,h,d,p,f,m,g,y,w;return xe(this,function(b){switch(b.label){case 0:if(typeof e=="string"){if(i=v.io.getSaveHandlers(e),i.length===0)throw new M("Cannot find any save handlers for URL '"+e+"'");if(i.length>1)throw new M("Found more than one ("+i.length+") save handlers for "+("URL '"+e+"'"));e=i[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,v.io.encodeWeights(this.getNamedWeights(r))];case 1:return a=b.sent(),s=!1,o=null,c=this.toJSON(o,s),l={modelTopology:c,format:s7,generatedBy:"TensorFlow.js tfjs-layers v"+Vh,convertedBy:null},u=r==null?!1:r.includeOptimizer,u&&this.optimizer!=null?(l.trainingConfig=this.getTrainingConfig(),h="optimizer",g=(m=v.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,g.apply(m,[b.sent(),h])];case 3:d=b.sent(),p=d.data,f=d.specs,(w=a.specs).push.apply(w,f),a.data=v.io.concatenateArrayBuffers([a.data,p]),b.label=4;case 4:return this.userDefinedMetadata!=null&&(y=!0,Cy(this.userDefinedMetadata,this.name,y),l.userDefinedMetadata=this.userDefinedMetadata),l.weightData=a.data,l.weightSpecs=a.specs,[2,e.save(l)]}})})},t.prototype.setUserDefinedMetadata=function(e){Cy(e,this.name),this.userDefinedMetadata=e},t.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},t.className="Model",t}(qE);v.serialization.registerClass(Ar);var o7=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.className="Functional",t}(Ar);v.serialization.registerClass(o7);function c7(n,t){return Ae(this,void 0,void 0,function(){var e,r,i,a,s,o,c,l;return xe(this,function(u){switch(u.label){case 0:return"modelTopology"in n||(n={modelTopology:n}),n=n,e=n.modelTopology,e.model_config!=null&&(e=e.model_config),r=Ya(e),i=Ln(r,t),n.weightsManifest!=null?[4,v.io.loadWeights(n.weightsManifest,n.pathPrefix,i.weights.map(function(h){return h.originalName}))]:[3,2];case 1:for(a=u.sent(),s={},o=0,c=i.weights;o<c.length;o++)l=c[o],s[l.originalName]=a[l.originalName];i.loadWeights(s),v.dispose(a),u.label=2;case 2:return[2,i]}})})}function u7(n,t){return Ae(this,void 0,void 0,function(){var e;return xe(this,function(r){if(t==null&&(t={}),typeof n=="string"){if(e=v.io.getLoadHandlers(n,t),e.length===0)e.push(v.io.browserHTTPRequest(n,t));else if(e.length>1)throw new M("Found more than one ("+e.length+") load handlers for "+("URL '"+n+"'"));n=e[0]}return[2,l7(n,void 0,t)]})})}function l7(n,t,e){return Ae(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h;return xe(this,function(d){switch(d.label){case 0:if(e==null&&(e={}),n.load==null)throw new M("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,n.load()];case 1:if(r=d.sent(),i=r.modelTopology,i.model_config!=null&&(i=i.model_config),a=e.strict==null?!0:e.strict,s=r.weightData!=null&&r.weightSpecs!=null&&a,o=Ln(Ya(i),t,s),c=r.trainingConfig,c!=null&&o.loadTrainingConfig(c),r.userDefinedMetadata!=null&&o.setUserDefinedMetadata(r.userDefinedMetadata),!(r.weightData!=null))return[3,4];if(r.weightSpecs==null)throw new M("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return l=h7(r.weightData,r.weightSpecs),u=l.modelWeights,h=l.optimizerWeights,o.loadWeights(u,a),o.optimizer!=null&&h.length>0?[4,o.optimizer.setWeights(h)]:[3,3];case 2:d.sent(),d.label=3;case 3:v.dispose(u),v.dispose(h.map(function(p){return p.tensor})),d.label=4;case 4:return[2,o]}})})}function h7(n,t){var e=v.io.decodeWeights(n,t),r={},i=[];return t.forEach(function(a){a.group==="optimizer"?i.push({name:a.name,tensor:e[a.name]}):r[a.name]=e[a.name]}),{modelWeights:r,optimizerWeights:i}}var $h=function(n){Q(t,n);function t(e){var r=n.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},r.trainable=!0,r.built=!1,r.name=e.name!=null?e.name:po("sequential_"),e.layers!=null)for(var i=0,a=e.layers;i<a.length;i++){var s=a[i];r.add(s)}return r}return t.prototype.checkShape=function(e){var r=e.inboundNodes[0].outputTensors[0].shape;if(r.some(function(i){return i<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 r=e instanceof t||e instanceof Ar,i;if(r){if(i=e,i.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(i.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=fy({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=i.outputs,this.inputs=i.inputs;else{if(e.inboundNodes.length!==1)throw new M("A layer added to a Sequential model must not already be "+("connected somewhere else. LayersModel received layer "+e.name+" ")+("which has "+e.inboundNodes.length+" pre-existing inbound ")+"connections.");if(e.inboundNodes[0].outputTensors.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=py(this.outputs[0])}this.inboundNodes=[],new go({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:ti(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(o){return o.shape}),outputShapes:this.outputs[0].shape})}else{var s=e.apply(this.outputs[0]);if(Array.isArray(s))throw new TypeError("All layers in a Sequential model should have a single output tensor. 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single number for 1D convolution, but received "+(""+JSON.stringify(i.dilationRate)));if(i.rank===2){if(typeof i.dilationRate=="number")i.dilationRate=[i.dilationRate,i.dilationRate];else if(i.dilationRate.length!==2)throw new M("dilationRate must be a number or array of two numbers for 2D "+("convolution, but received "+JSON.stringify(i.dilationRate)))}else if(i.rank===3){if(typeof i.dilationRate=="number")i.dilationRate=[i.dilationRate,i.dilationRate,i.dilationRate];else if(i.dilationRate.length!==3)throw new M("dilationRate must be a number or array of three numbers for 3D "+("convolution, but received "+JSON.stringify(i.dilationRate)))}return i}return t.verifyArgs=function(e){if(kn("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!bh(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:Tr(this.activation),useBias:this.useBias,biasInitializer:lt(this.biasInitializer),biasRegularizer:Ze(this.biasRegularizer),activityRegularizer:Ze(this.activityRegularizer),biasConstraint:St(this.biasConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),No=function(n){Q(t,n);function t(e,r){var i=n.call(this,e,r)||this;return i.kernel=null,t.verifyArgs(r),i.filters=r.filters,_t(i.filters,"filters"),i.kernelInitializer=at(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=It(r.kernelConstraint),i.kernelRegularizer=st(r.kernelRegularizer),i}return t.prototype.build=function(e){var r;e=Je(e);var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[i]));var a=e[i],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:(r={},r[i]=a,r)}],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a,s=i.bias==null?null:i.bias.read(),o=z0(i.activation.getClassName());if(o!=null&&i.rank===2)a=ev(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate,o);else{if(i.rank===1)a=R7(e,i.kernel.read(),s,i.strides[0],i.padding,i.dataFormat,i.dilationRate[0]);else if(i.rank===2)a=ev(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate);else if(i.rank===3)a=O7(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate);else throw new Re("convolutions greater than 3D are not implemented yet.");i.activation!=null&&(a=i.activation.apply(a))}return a})},t.prototype.computeOutputShape=function(e){e=Je(e);for(var r=[],i=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2),a=0;a<i.length;++a){var s=Sn(i[a],this.kernelSize[a],this.padding,this.strides[a],typeof this.dilationRate=="number"?this.dilationRate:this.dilationRate[a]);r.push(s)}var o=[e[0]];return this.dataFormat==="channelsLast"?(o=o.concat(r),o.push(this.filters)):(o.push(this.filters),o=o.concat(r)),o},t.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:lt(this.kernelInitializer),kernelRegularizer:Ze(this.kernelRegularizer),kernelConstraint:St(this.kernelConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),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}(tv),Qh=function(n){Q(t,n);function t(e){var r=n.call(this,2,e)||this;return t.verifyArgs(e),r}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"&&!bh(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}(No);v.serialization.registerClass(Qh);var nv=function(n){Q(t,n);function t(e){var r=n.call(this,3,e)||this;return t.verifyArgs(e),r}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}(No);v.serialization.registerClass(nv);var rv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.inputSpec=[new Ct({ndim:4})],r.padding!=="same"&&r.padding!=="valid")throw new M("Conv2DTranspose currently supports only padding modes 'same' "+("and 'valid', but received padding mode "+r.padding));return r}return t.prototype.build=function(e){var r;if(e=Je(e),e.length!==4)throw new M("Input should have rank 4; Received input shape: "+JSON.stringify(e));var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");var a=e[i],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 Ct({ndim:4,axes:(r={},r[i]=a,r)})],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=Oe(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],c,l;i.dataFormat==="channelsFirst"?(c=2,l=3):(c=1,l=2);var u=s[c],h=s[l],d=i.kernelSize[0],p=i.kernelSize[1],f=i.strides[0],m=i.strides[1],g=To(u,f,d,i.padding),y=To(h,m,p,i.padding),w=[o,g,y,i.filters];i.dataFormat!=="channelsLast"&&(a=v.transpose(a,[0,2,3,1]));var b=v.conv2dTranspose(a,i.kernel.read(),w,i.strides,i.padding);return i.dataFormat!=="channelsLast"&&(b=v.transpose(b,[0,3,1,2])),i.bias!=null&&(b=Wn(b,i.bias.read(),i.dataFormat)),i.activation!=null&&(b=i.activation.apply(b)),b})},t.prototype.computeOutputShape=function(e){e=Je(e);var r=e.slice(),i,a,s;this.dataFormat==="channelsFirst"?(i=1,a=2,s=3):(i=3,a=1,s=2);var o=this.kernelSize[0],c=this.kernelSize[1],l=this.strides[0],u=this.strides[1];return r[i]=this.filters,r[a]=To(r[a],l,o,this.padding),r[s]=To(r[s],u,c,this.padding),r},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.dilationRate,e},t.className="Conv2DTranspose",t}(Qh);v.serialization.registerClass(rv);var E7=function(n){Q(t,n);function t(e,r){var i=n.call(this,e,r)||this;if(i.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",i.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",i.depthwiseKernel=null,i.pointwiseKernel=null,r.filters==null)throw new M("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(r.kernelInitializer!=null||r.kernelRegularizer!=null||r.kernelConstraint!=null)throw new M("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(r.padding!=null&&r.padding!=="same"&&r.padding!=="valid")throw new M("SeparableConv"+i.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(r.padding)));return i.depthMultiplier=r.depthMultiplier==null?1:r.depthMultiplier,i.depthwiseInitializer=at(r.depthwiseInitializer||i.DEFAULT_DEPTHWISE_INITIALIZER),i.depthwiseRegularizer=st(r.depthwiseRegularizer),i.depthwiseConstraint=It(r.depthwiseConstraint),i.pointwiseInitializer=at(r.depthwiseInitializer||i.DEFAULT_POINTWISE_INITIALIZER),i.pointwiseRegularizer=st(r.pointwiseRegularizer),i.pointwiseConstraint=It(r.pointwiseConstraint),i}return t.prototype.build=function(e){var r;if(e=Je(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 i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null||e[i]<0)throw new M("The channel dimension of the inputs should be defined, "+("but found "+JSON.stringify(e[i])));for(var a=e[i],s=this.kernelSize.concat([a,this.depthMultiplier]),o=[],c=0;c<this.rank;++c)o.push(1);o.push(a*this.depthMultiplier,this.filters);var l=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",s,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,l,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,l,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,l,this.biasConstraint):this.bias=null,this.inputSpec=[new Ct({ndim:this.rank+2,axes:(r={},r[i]=a,r)})],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a;if(i.rank===1)throw new Re("1D separable convolution is not implemented yet.");return i.rank===2&&(i.dataFormat==="channelsFirst"&&(e=v.transpose(e,[0,2,3,1])),a=v.separableConv2d(e,i.depthwiseKernel.read(),i.pointwiseKernel.read(),i.strides,i.padding,i.dilationRate,"NHWC")),i.useBias&&(a=Wn(a,i.bias.read(),i.dataFormat)),i.activation!=null&&(a=i.activation.apply(a)),i.dataFormat==="channelsFirst"&&(a=v.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=lt(this.depthwiseInitializer),e.pointwiseInitializer=lt(this.pointwiseInitializer),e.depthwiseRegularizer=Ze(this.depthwiseRegularizer),e.pointwiseRegularizer=Ze(this.pointwiseRegularizer),e.depthwiseConstraint=St(this.depthwiseConstraint),e.pointwiseConstraint=St(this.pointwiseConstraint),e},t.className="SeparableConv",t}(No),iv=function(n){Q(t,n);function t(e){return n.call(this,2,e)||this}return t.className="SeparableConv2D",t}(E7);v.serialization.registerClass(iv);var av=function(n){Q(t,n);function t(e){var r=n.call(this,1,e)||this;return t.verifyArgs(e),r.inputSpec=[{ndim:3}],r}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"&&!bh(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}(No);v.serialization.registerClass(av);var sv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return typeof e.cropping=="number"?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}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,r){var i=this;return v.tidy(function(){if(e=Oe(e),i.dataFormat==="channelsLast"){var a=lo(e,i.cropping[0][0],e.shape[1]-i.cropping[0][0]-i.cropping[0][1],2);return lo(a,i.cropping[1][0],e.shape[2]-i.cropping[1][1]-i.cropping[1][0],3)}else{var a=lo(e,i.cropping[0][0],e.shape[2]-i.cropping[0][0]-i.cropping[0][1],3);return lo(a,i.cropping[1][0],e.shape[3]-i.cropping[1][1]-i.cropping[1][0],4)}})},t.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Cropping2D",t}(Fe);v.serialization.registerClass(sv);var ov=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=e.size==null?r.DEFAULT_SIZE:e.size,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,r}return t.prototype.computeOutputShape=function(e){if(this.dataFormat==="channelsFirst"){var r=e[2]==null?null:this.size[0]*e[2],i=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],r,i]}else{var r=e[1]==null?null:this.size[0]*e[1],i=e[2]==null?null:this.size[1]*e[2];return[e[0],r,i,e[3]]}},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=Oe(e),s=a.shape;if(i.dataFormat==="channelsFirst"){a=v.transpose(a,[0,2,3,1]);var o=i.size[0]*s[2],c=i.size[1]*s[3],l=a.resizeNearestNeighbor([o,c]);return v.transpose(l,[0,3,1,2])}else{var o=i.size[0]*s[1],c=i.size[1]*s[2];return a.resizeNearestNeighbor([o,c])}})},t.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="UpSampling2D",t}(Fe);v.serialization.registerClass(ov);function D7(n,t,e,r,i,a){return e===void 0&&(e=[1,1]),r===void 0&&(r="valid"),v.tidy(function(){i==null&&(i=wn()),mt(i);var s=Zh(n,i);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=v.depthwiseConv2d(s,t,e,r==="same"?"same":"valid","NHWC",a),i==="channelsFirst"&&(s=v.transpose(s,[0,3,1,2])),s})}var cv=function(n){Q(t,n);function t(e){var r=n.call(this,2,e)||this;return r.depthwiseKernel=null,r.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,r.depthwiseInitializer=at(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=It(e.depthwiseConstraint),r.depthwiseRegularizer=st(e.depthwiseRegularizer),r}return t.prototype.build=function(e){if(e=Je(e),e.length<4)throw new M("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(e)+"."));var r=this.dataFormat==="channelsFirst"?1:3;if(e[r]==null||e[r]<0)throw new M("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+e[r]+")."));var i=e[r],a=[this.kernelSize[0],this.kernelSize[1],i,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[i*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a=D7(e,i.depthwiseKernel.read(),i.strides,i.padding,i.dataFormat,null);return i.useBias&&(a=Wn(a,i.bias.read(),i.dataFormat)),i.activation!=null&&(a=i.activation.apply(a)),a})},t.prototype.computeOutputShape=function(e){e=Je(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=Sn(r,this.kernelSize[0],this.padding,this.strides[0]),o=Sn(i,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=lt(this.depthwiseInitializer),e.depthwiseRegularizer=Ze(this.depthwiseRegularizer),e.depthwiseConstraint=St(this.depthwiseRegularizer),e},t.className="DepthwiseConv2D",t}(tv);v.serialization.registerClass(cv);function lv(n,t,e,r){if(Array.isArray(n)){if(t!=null||e!=null)throw new M("When inputs is an array, neither initialState or constants should be provided");r!=null&&(e=n.slice(n.length-r,n.length),n=n.slice(0,n.length-r)),n.length>1&&(t=n.slice(1,n.length)),n=n[0]}function i(a){return a==null||Array.isArray(a)?a:[a]}return t=i(t),e=i(e),{inputs:n,initialState:t,constants:e}}function uv(n,t,e,r,i,a,s,o){return r===void 0&&(r=!1),s===void 0&&(s=!1),o===void 0&&(o=!1),v.tidy(function(){var c=t.shape.length;if(c<3)throw new M("Input should be at least 3D, but is "+c+"D.");var l=[1,0].concat(bn(2,c));if(t=v.transpose(t,l),a!=null)throw new Re("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."),i!=null&&(i=i.asType("bool").asType("float32"),i.rank===c-1&&(i=v.expandDims(i,-1)),i=v.transpose(i,l)),r&&(t=v.reverse(t,0),i!=null&&(i=v.reverse(i,0)));var u=[],h,d=e,p=t.shape[0],f=v.unstack(t),m;i!=null&&(m=v.unstack(i));for(var g=function(x){var L=f[x],N=v.tidy(function(){return n(L,d)});if(i==null)h=N[0],d=N[1];else{var I=v.tidy(function(){var C=m[x],O=v.onesLike(C).sub(C),D=N[0].mul(C).add(d[0].mul(O)),F=d.map(function(k,B){return N[1][B].mul(C).add(k.mul(O))});return{output:D,newStates:F}});h=I.output,d=I.newStates}o&&u.push(h)},y=0;y<p;++y)g(y);var w;if(o){var b=1;w=v.stack(u,b)}return[h,w,d]})}var _r=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this,i;if(e.cell==null)throw new M("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?i=new ed({cells:e.cell}):i=e.cell,i.stateSize==null)throw new M("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=i,r.returnSequences=e.returnSequences==null?!1:e.returnSequences,r.returnState=e.returnState==null?!1:e.returnState,r.goBackwards=e.goBackwards==null?!1:e.goBackwards,r._stateful=e.stateful==null?!1:e.stateful,r.unroll=e.unroll==null?!1:e.unroll,r.supportsMasking=!0,r.inputSpec=[new Ct({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return t.prototype.getStates=function(){if(this.states_==null){var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return bn(0,e).map(function(r){return null})}else return this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){Dh(e)&&(e=e[0]),e=e;var r=this.cell.stateSize;Array.isArray(r)||(r=[r]);var i=r[0],a;if(this.returnSequences?a=[e[0],e[1],i]:a=[e[0],i],this.returnState){for(var s=[],o=0,c=r;o<c.length;o++){var l=c[o];s.push([e[0],l])}return[a].concat(s)}else return a},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){Array.isArray(r)&&(r=r[0]);var a=i.returnSequences?r:null;if(i.returnState){var s=i.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,r=[],i=0;i<e;++i)r.push(null);return r}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 Re("Constants support is not implemented in RNN yet.");Dh(e)&&(e=e[0]),e=e;var r=this.stateful?e[0]:null,i=e.slice(2);this.inputSpec[0]=new Ct({shape:[r,null].concat(i)});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(!v.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 Ct({shape:[null,o]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,r){var i=this;r===void 0&&(r=!1),v.tidy(function(){if(!i.stateful)throw new br("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=i.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(i.states_==null)Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(u){return v.zeros([a,u])}):i.states_=[v.zeros([a,i.cell.stateSize])];else if(e==null)v.dispose(i.states_),i.keptStates!=null&&(v.dispose(i.keptStates),i.keptStates=[]),Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(u){return v.zeros([a,u])}):i.states_[0]=v.zeros([a,i.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==i.states_.length)throw new M("Layer "+i.name+" expects "+i.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));r===!0?i.keptStates.push(i.states_.slice()):v.dispose(i.states_);for(var s=0;s<i.states_.length;++s){var o=e[s],c=Array.isArray(i.cell.stateSize)?i.cell.stateSize[s]:i.cell.stateSize,l=[a,c];if(!v.util.arraysEqual(o.shape,l))throw new M("State "+s+" is incompatible with layer "+i.name+": "+("expected shape="+l+", received shape="+o.shape));i.states_[s]=o}}i.states_=i.states_.map(function(u){return v.keep(u.clone())})})},t.prototype.apply=function(e,r){var i=r==null?null:r.initialState,a=r==null?null:r.constants;r==null&&(r={});var s=lv(e,i,a,this.numConstants);e=s.inputs,i=s.initialState,a=s.constants;var o=[],c=[];if(i!=null){r.initialState=i,o=o.concat(i),this.stateSpec=[];for(var l=0,u=i;l<u.length;l++){var h=u[l];this.stateSpec.push(new Ct({shape:h.shape}))}c=c.concat(this.stateSpec)}a!=null&&(r.constants=a,o=o.concat(a),this.numConstants=a.length);var d=o[0]instanceof xn;if(d){var p=[e].concat(o),f=this.inputSpec.concat(c),m=this.inputSpec;this.inputSpec=f;var g=n.prototype.apply.call(this,p,r);return this.inputSpec=m,g}else return n.prototype.apply.call(this,e,r)},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;e=Oe(e),o==null&&(i.stateful?o=i.states_:o=i.getInitialState(e));var c=Array.isArray(i.cell.stateSize)?i.cell.stateSize.length:1;if(o.length!==c)throw new M("RNN Layer has "+c+" state(s) but was passed "+(o.length+" initial state(s)."));i.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var l={training:s},u=function(g,y){var w=i.cell.call([g].concat(y),l);return[w[0],w.slice(1)]},h=uv(u,e,o,i.goBackwards,a,null,i.unroll,i.returnSequences),d=h[0],p=h[1],f=h[2];i.stateful&&i.resetStates(f,s);var m=i.returnSequences?p:d;return i.returnState?[m].concat(f):m})},t.prototype.getInitialState=function(e){var r=this;return v.tidy(function(){var i=v.zeros(e.shape);return i=v.sum(i,[1,2]),i=Ma(i),Array.isArray(r.cell.stateSize)?r.cell.stateSize.map(function(a){return a>1?Lh(i,[1,a]):i}):r.cell.stateSize>1?[Lh(i,[1,r.cell.stateSize])]:[i]})},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),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(r.numConstants=this.numConstants);var i=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:i}),$t({},i,e,r)},t.fromConfig=function(e,r,i){i===void 0&&(i={});var a=r.cell,s=Ln(a,i);return new e(Object.assign(r,{cell:s}))},t.className="RNN",t}(Fe);v.serialization.registerClass(_r);var $i=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(Fe),td=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,_t(r.units,"units"),r.activation=Nr(e.activation==null?r.DEFAULT_ACTIVATION:e.activation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=It(e.kernelConstraint),r.recurrentConstraint=It(e.recurrentConstraint),r.biasConstraint=It(e.biasConstraint),r.dropout=Gi([1,Sr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Gi([1,Sr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){e=Je(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,r){var i=this;return v.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=r.training==null?!1:r.training;0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Cr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:s})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Cr({ones:function(){return v.onesLike(a)},rate:i.recurrentDropout,training:s}));var o,c=i.dropoutMask,l=i.recurrentDropoutMask;c!=null?o=Fn(v.mul(e,c),i.kernel.read()):o=Fn(e,i.kernel.read()),i.bias!=null&&(o=Wn(o,i.bias.read())),l!=null&&(a=v.mul(a,l));var u=v.add(o,Fn(a,i.recurrentKernel.read()));return i.activation!=null&&(u=i.activation.apply(u)),[u,u]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Tr(this.activation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Ze(this.kernelRegularizer),recurrentRegularizer:Ze(this.recurrentRegularizer),biasRegularizer:Ze(this.biasRegularizer),activityRegularizer:Ze(this.activityRegularizer),kernelConstraint:St(this.kernelConstraint),recurrentConstraint:St(this.recurrentConstraint),biasConstraint:St(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return $t({},e,r)},t.className="SimpleRNNCell",t}($i);v.serialization.registerClass(td);var hv=function(n){Q(t,n);function t(e){var r=this;return e.cell=new td(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return new e(r)},t.className="SimpleRNN",t}(_r);v.serialization.registerClass(hv);var nd=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new M("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,_t(r.units,"units"),r.activation=Nr(e.activation===void 0?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Nr(e.recurrentActivation===void 0?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=It(e.kernelConstraint),r.recurrentConstraint=It(e.recurrentConstraint),r.biasConstraint=It(e.biasConstraint),r.dropout=Gi([1,Sr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Gi([1,Sr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){e=Je(e);var r=e[e.length-1];this.kernel=this.addWeight("kernel",[r,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,r){var i=this;return v.tidy(function(){if(e=e,e.length!==2)throw new M("GRUCell expects 2 input Tensors (inputs, h, c), got "+(e.length+"."));var a=r.training==null?!1:r.training,s=e[1];e=e[0],0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Cr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:a,count:3})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Cr({ones:function(){return v.onesLike(s)},rate:i.recurrentDropout,training:a,count:3}));var o=i.dropoutMask,c=i.recurrentDropoutMask,l,u,h;0<i.dropout&&i.dropout<1&&(e=v.mul(e,o[0]));var d=Fn(e,i.kernel.read());i.useBias&&(d=Wn(d,i.bias.read())),0<i.recurrentDropout&&i.recurrentDropout<1&&(s=v.mul(s,c[0]));var p=i.recurrentKernel.read(),f=v.split(p,[2*i.units,i.units],p.rank-1),m=f[0],g=f[1],y=Fn(s,m),w=v.split(d,3,d.rank-1),b=w[0],x=w[1],L=w[2],N=v.split(y,2,y.rank-1),I=N[0],C=N[1];l=i.recurrentActivation.apply(v.add(b,I)),u=i.recurrentActivation.apply(v.add(x,C));var O=Fn(v.mul(u,s),g);h=i.activation.apply(v.add(L,O));var D=v.add(v.mul(l,s),v.mul(v.add(1,v.neg(l)),h));return[D,D]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Tr(this.activation),recurrentActivation:Tr(this.recurrentActivation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Ze(this.kernelRegularizer),recurrentRegularizer:Ze(this.recurrentRegularizer),biasRegularizer:Ze(this.biasRegularizer),activityRegularizer:Ze(this.activityRegularizer),kernelConstraint:St(this.kernelConstraint),recurrentConstraint:St(this.recurrentConstraint),biasConstraint:St(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return $t({},e,r)},t.className="GRUCell",t}($i);v.serialization.registerClass(nd);var dv=function(n){Q(t,n);function t(e){var r=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 nd(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return r.implmentation===0&&(r.implementation=1),new e(r)},t.className="GRU",t}(_r);v.serialization.registerClass(dv);var _o=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,_t(r.units,"units"),r.activation=Nr(e.activation===void 0?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Nr(e.recurrentActivation===void 0?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=It(e.kernelConstraint),r.recurrentConstraint=It(e.recurrentConstraint),r.biasConstraint=It(e.biasConstraint),r.dropout=Gi([1,Sr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Gi([1,Sr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){var r;e=Je(e);var i=e[e.length-1];this.kernel=this.addWeight("kernel",[i,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(r=function(c){Q(l,c);function l(){return c!==null&&c.apply(this,arguments)||this}return l.prototype.apply=function(u,h){var d=s.apply([o]),p=new Th().apply([o]),f=s.apply([o*2]);return Z0(Z0(d,p),f)},l}(hn),r.className="CustomInit",r)}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,r){var i=this;return v.tidy(function(){var a=r.training==null?!1:r.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<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Cr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:a,count:4})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Cr({ones:function(){return v.onesLike(s)},rate:i.recurrentDropout,training:a,count:4}));var c=i.dropoutMask,l=i.recurrentDropoutMask,u,h,d,p;0<i.dropout&&i.dropout<1&&(e=v.mul(e,c[0]));var f=Fn(e,i.kernel.read());0<i.recurrentDropout&&i.recurrentDropout<1&&(s=v.mul(s,l[0])),f=v.add(f,Fn(s,i.recurrentKernel.read())),i.useBias&&(f=Wn(f,i.bias.read()));var m=v.split(f,4,f.rank-1),g=m[0],y=m[1],w=m[2],b=m[3];u=i.recurrentActivation.apply(g),h=i.recurrentActivation.apply(y),d=v.add(v.mul(h,o),v.mul(u,i.activation.apply(w))),p=i.recurrentActivation.apply(b);var x=v.mul(p,i.activation.apply(d));return[x,x,d]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Tr(this.activation),recurrentActivation:Tr(this.recurrentActivation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ze(this.kernelRegularizer),recurrentRegularizer:Ze(this.recurrentRegularizer),biasRegularizer:Ze(this.biasRegularizer),activityRegularizer:Ze(this.activityRegularizer),kernelConstraint:St(this.kernelConstraint),recurrentConstraint:St(this.recurrentConstraint),biasConstraint:St(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return $t({},e,r)},t.className="LSTMCell",t}($i);v.serialization.registerClass(_o);var pv=function(n){Q(t,n);function t(e){var r=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new _o(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return r.implmentation===0&&(r.implementation=1),new e(r)},t.className="LSTM",t}(_r);v.serialization.registerClass(pv);var ed=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.cells=e.cells,r}return Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],r=0,i=this.cells.slice().reverse();r<i.length;r++){var a=i[r];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,r){var i=this;return v.tidy(function(){e=e;for(var a=e.slice(1),s=[],o=0,c=i.cells.slice().reverse();o<c.length;o++){var l=c[o];Array.isArray(l.stateSize)?s.push(a.splice(0,l.stateSize.length)):s.push(a.splice(0,1))}s.reverse();for(var u=[],h,d=0;d<i.cells.length;++d){var l=i.cells[d];a=s[d],d===0?h=[e[0]].concat(a):h=[h[0]].concat(a),h=l.call(h,r),u.push(h.slice(1))}a=[];for(var p=0,f=u.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){Dh(e)&&(e=e[0]),e=e;var r;this.cells.forEach(function(i,a){ri("RNNCell_"+a,function(){i.build(e),Array.isArray(i.stateSize)?r=i.stateSize[0]:r=i.stateSize,e=[e[0],r]})}),this.built=!0},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r=function(s){return{className:s.getClassName(),config:s.getConfig()}},i=this.cells.map(r),a={cells:i};return $t({},e,a)},t.fromConfig=function(e,r,i){i===void 0&&(i={});for(var a=[],s=0,o=r.cells;s<o.length;s++){var c=o[s];a.push(Ln(c,i))}return new e({cells:a})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,c=this.cells;o<c.length;o++){var a=c[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.weights)}return kh(e)},t.prototype.setWeights=function(e){for(var r=[],i=0,a=this.cells;i<a.length;i++)for(var s=a[i],o=s.weights.length,c=e.splice(o),l=0;l<s.weights.length;++l)r.push([s.weights[l],c[l]]);Fh(r)},t.className="StackedRNNCells",t}($i);v.serialization.registerClass(ed);function Cr(n){var t=n.ones,e=n.rate,r=n.training,i=r===void 0?!1:r,a=n.count,s=a===void 0?1:a,o=function(){return ey(t(),e)},c=function(){return Va(o,t,i)};if(!s||s<=1)return v.keep(c().clone());var l=Array(s).fill(void 0).map(c);return l.map(function(u){return v.keep(u.clone())})}var uG=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}($i),k7=function(n){Q(t,n);function t(e){var r=this;if(e.unroll)throw new Re("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Re("It is not possible at the moment to stack convolutional cells.");return r=n.call(this,e)||this,r.inputSpec=[new Ct({ndim:5})],r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null),r&&r.constants)throw new M("ConvRNN2D cell does not support constants");var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.prototype.computeOutputShape=function(e){var r=this.computeSingleOutputShape(e);return this.returnSequences||(r=[r[0]].concat(r.slice(2))),this.returnState&&(r=[r].concat(Array(2).fill([e[0]].concat(r.slice(-3))))),r},t.prototype.getInitialState=function(e){var r=this;return v.tidy(function(){var i=r.cell.stateSize,a=e.shape,s=r.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),c=v.zeros(o);return Array.isArray(i)?Array(i.length).fill(c):[c]})},t.prototype.resetStates=function(e,r){var i=this;r===void 0&&(r=!1),v.tidy(function(){if(!i.stateful)throw new br("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=i.inputSpec[0].shape,s=i.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),c=a[0];if(c==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(i.getStates()==null)Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(){return v.zeros(o)}):i.states_=[v.zeros(o)];else if(e==null)v.dispose(i.states_),i.keptStates!=null&&(v.dispose(i.keptStates),i.keptStates=[]),Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(){return v.zeros(o)}):i.states_[0]=v.zeros(o);else{if(Array.isArray(e)||(e=[e]),e.length!==i.states_.length)throw new M("Layer "+i.name+" expects "+i.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));r?i.keptStates.push(i.states_.slice()):v.dispose(i.states_);for(var l=0;l<i.states_.length;++l){var u=e[l],h=o;if(!v.util.arraysEqual(u.shape,h))throw new M("State "+l+" is incompatible with layer "+i.name+": "+("expected shape="+h+", received shape="+u.shape));i.states_[l]=u}}i.states_=i.states_.map(function(d){return v.keep(d.clone())})})},t.prototype.computeSingleOutputShape=function(e){var r=this.cell,i=r.dataFormat,a=r.filters,s=r.kernelSize,o=r.padding,c=r.strides,l=r.dilationRate,u=i==="channelsFirst",h=e[u?3:2],d=e[u?4:3],p=Sn(h,s[0],o,c[0],l[0]),f=Sn(d,s[1],o,c[1],l[1]),m=e.slice(0,2).concat(u?[a,p,f]:[p,f,a]);return m},t.className="ConvRNN2D",t}(_r),rd=function(n){Q(t,n);function t(e){var r=this,i=e.filters,a=e.kernelSize,s=e.strides,o=e.padding,c=e.dataFormat,l=e.dilationRate;return r=n.call(this,$t({},e,{units:i}))||this,r.filters=i,_t(r.filters,"filters"),r.kernelSize=ji(a,2,"kernelSize"),r.kernelSize.forEach(function(u){return _t(u,"kernelSize")}),r.strides=ji(s||1,2,"strides"),r.strides.forEach(function(u){return _t(u,"strides")}),r.padding=o||"valid",sn(r.padding),r.dataFormat=c||"channelsLast",mt(r.dataFormat),r.dilationRate=ji(l||1,2,"dilationRate"),r.dilationRate.forEach(function(u){return _t(u,"dilationRate")}),r}return t.prototype.build=function(e){var r;e=Je(e);var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[i]));var a=e[i],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 c=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",c,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var l=void 0;if(this.unitForgetBias){var u=this.biasInitializer,h=this.filters;l=new(r=function(d){Q(p,d);function p(){return d!==null&&d.apply(this,arguments)||this}return p.prototype.apply=function(f,m){var g=u.apply([h]),y=v.ones([h]),w=u.apply([h*2]);return Ih([g,y,w])},p}(hn),r.className="CustomInit",r)}else l=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,l,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e.length!==3)throw new M("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var a=r.training||!1,s=e[0],o=e[1],c=e[2],l=4;0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Cr({ones:function(){return v.onesLike(s)},rate:i.dropout,training:a,count:l}));var u=i.dropoutMask,h=function(re,ie,oe){return!ie||!ie[oe]?re:v.mul(ie[oe],re)},d=h(s,u,0),p=h(s,u,1),f=h(s,u,2),m=h(s,u,3);0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Cr({ones:function(){return v.onesLike(o)},rate:i.recurrentDropout,training:a,count:l}));var g=i.recurrentDropoutMask,y=h(o,g,0),w=h(o,g,1),b=h(o,g,2),x=h(o,g,3),L=3,N=v.split(i.kernel.read(),l,L),I=N[0],C=N[1],O=N[2],D=N[3],F=i.useBias?v.split(i.bias.read(),l):[null,null,null,null],k=F[0],B=F[1],V=F[2],P=F[3];d=i.inputConv(d,I,k,i.padding),p=i.inputConv(p,C,B,i.padding),f=i.inputConv(f,O,V,i.padding),m=i.inputConv(m,D,P,i.padding);var G=v.split(i.recurrentKernel.read(),l,L),j=G[0],q=G[1],H=G[2],J=G[3];y=i.recurrentConv(y,j),w=i.recurrentConv(w,q),b=i.recurrentConv(b,H),x=i.recurrentConv(x,J);var $=i.recurrentActivation.apply(v.add(d,y)),ee=i.recurrentActivation.apply(v.add(p,w)),te=v.add(v.mul(ee,c),v.mul($,i.activation.apply(v.add(f,b)))),ne=v.mul(i.recurrentActivation.apply(v.add(m,x)),i.activation.apply(te));return[ne,ne,te]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r=e.units,i=vO(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return $t({},i,a)},t.prototype.inputConv=function(e,r,i,a){var s=v.conv2d(e,r,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return i?Wn(s,i,this.dataFormat):s},t.prototype.recurrentConv=function(e,r){var i=1;return v.conv2d(e,r,i,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")},t.className="ConvLSTM2DCell",t}(_o);v.serialization.registerClass(rd);var fv=function(n){Q(t,n);function t(e){var r=this,i=new rd(e);return r=n.call(this,$t({},e,{cell:i}))||this,r}return t.fromConfig=function(e,r){return new e(r)},t.className="ConvLSTM2D",t}(k7);v.serialization.registerClass(fv);var id=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return t.prototype.getNoiseShape=function(e){if(this.noiseShape==null)return this.noiseShape;for(var r=e.shape,i=[],a=0;a<this.noiseShape.length;++a)i.push(this.noiseShape[a]==null?r[a]:this.noiseShape[a]);return i},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(0<i.rate&&i.rate<1){var s=r.training==null?!1:r.training,o=i.getNoiseShape(a),c=Va(function(){return ey(a,i.rate,o,i.seed)},function(){return a},s);return c}return e})},t.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.prototype.dispose=function(){return n.prototype.dispose.call(this)},t.className="Dropout",t}(Fe);v.serialization.registerClass(id);var mv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.inputSpec=[{ndim:3}],r}return t.prototype.getNoiseShape=function(e){var r=e.shape;return[r[0],1,r[2]]},t.className="SpatialDropout1D",t}(id);v.serialization.registerClass(mv);var gv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){var i=null;e.batchSize!=null&&(i=e.batchSize),r.batchInputShape=[i,e.inputDim]}return r.units=e.units,_t(r.units,"units"),r.activation=Nr(e.activation),e.useBias!=null&&(r.useBias=e.useBias),r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=It(e.kernelConstraint),r.biasConstraint=It(e.biasConstraint),r.kernelRegularizer=st(e.kernelRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.activityRegularizer=st(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return t.prototype.build=function(e){var r;e=Je(e);var i=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[i,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:(r={},r[-1]=i,r)}],this.built=!0},t.prototype.computeOutputShape=function(e){e=Je(e);var r=e.slice();return r[r.length-1]=this.units,r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=z0(i.activation.getClassName()),o;return s!=null?o=Fn(a,i.kernel.read(),s,i.bias?i.bias.read():null):(o=Fn(a,i.kernel.read()),i.bias!=null&&(o=Wn(o,i.bias.read())),i.activation!=null&&(o=i.activation.apply(o))),o})},t.prototype.getConfig=function(){var e={units:this.units,activation:Tr(this.activation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Ze(this.kernelRegularizer),biasRegularizer:Ze(this.biasRegularizer),activityRegularizer:Ze(this.activityRegularizer),kernelConstraint:St(this.kernelConstraint),biasConstraint:St(this.biasConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Dense",t}(Fe);v.serialization.registerClass(gv);var yv=function(n){Q(t,n);function t(e){var r=this;return e=e||{},r=n.call(this,e)||this,r.inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return t.prototype.computeOutputShape=function(e){e=Je(e);for(var r=0,i=e.slice(1);r<i.length;r++){var a=i[r];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],Lr(e,1)]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(i.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 UO(a)})},t.prototype.getConfig=function(){var e={};this.dataFormat!=null&&(e.dataFormat=this.dataFormat);var r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Flatten",t}(Fe);v.serialization.registerClass(yv);var vv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.activation=Nr(e.activation),r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);return i.activation.apply(a)})},t.prototype.getConfig=function(){var e={activation:Tr(this.activation)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Activation",t}(Fe);v.serialization.registerClass(vv);var wv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.n=e.n,r.inputSpec=[{ndim:2}],r}return t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return e=Oe(e),FO(e,i.n)})},t.prototype.getConfig=function(){var e={n:this.n},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="RepeatVector",t}(Fe);v.serialization.registerClass(wv);var bv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;r.targetShape=e.targetShape;for(var i=0;i<r.targetShape.length;++i)r.isUnknown(r.targetShape[i])&&(r.targetShape[i]=null);return r}return t.prototype.isUnknown=function(e){return e<0||e==null},t.prototype.fixUnknownDimension=function(e,r){for(var i="Total size of new array must be unchanged.",a=r.slice(),s=1,o=null,c=0;c<a.length;++c){var l=a[c];if(this.isUnknown(l))if(o===null)o=c;else throw new M("Can only specifiy one unknown dimension.");else s*=l}var u=Lr(e);if(o!==null){if(s===0||u%s!==0)throw new M(i);a[o]=u/s}else if(u!==s)throw new M(i);return a},t.prototype.computeOutputShape=function(e){for(var r=!1,i=0;i<e.length;++i)if(this.isUnknown(e[i])){r=!0;break}return r?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=a.shape,o=s.slice(0,1).concat(i.fixUnknownDimension(s.slice(1),i.targetShape));return a.reshape(o)})},t.prototype.getConfig=function(){var e={targetShape:this.targetShape},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Reshape",t}(Fe);v.serialization.registerClass(bv);var xv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+(e.dims+" instead."));var i=bn(1,e.dims.length+1);if(!v.util.arraysEqual(e.dims.slice().sort(),i))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new Ct({ndim:r.dims.length+1})],r}return t.prototype.computeOutputShape=function(e){e=Je(e);var r=e.slice();return this.dims.forEach(function(i,a){r[a+1]=e[i]}),r},t.prototype.call=function(e,r){return v.transpose(Oe(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var e={dims:this.dims},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Permute",t}(Fe);v.serialization.registerClass(xv);var Lv=function(n){Q(t,n);function t(e){var r=n.call(this,e??{})||this;return r.supportsMasking=!0,e!=null?r.maskValue=e.maskValue==null?0:e.maskValue:r.maskValue=0,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={maskValue:this.maskValue};return Object.assign(r,e),r},t.prototype.computeMask=function(e,r){var i=Oe(e),a=-1;return v.any(v.notEqual(i,this.maskValue),a)},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=-1,o=!0,c=v.any(v.notEqual(a,i.maskValue),s,o),l=a.mul(c.asType(a.dtype));return l})},t.className="Masking",t}(Fe);v.serialization.registerClass(Lv);var Sv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){var i=null;e.batchSize!=null&&(i=e.batchSize),e.inputLength==null?r.batchInputShape=[i,null]:r.batchInputShape=[i].concat(nt(e.inputLength))}return r.inputDim=e.inputDim,_t(r.inputDim,"inputDim"),r.outputDim=e.outputDim,_t(r.outputDim,"outputDim"),r.embeddingsInitializer=at(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=st(e.embeddingsRegularizer),r.activityRegularizer=st(e.activityRegularizer),r.embeddingsConstraint=It(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){return i.maskZero?(e=Oe(e),v.notEqual(e,v.zerosLike(e))):null})},t.prototype.computeOutputShape=function(e){if(e=Je(e),this.inputLength==null)return e.concat([this.outputDim]);var r=nt(this.inputLength);if(r.length!==e.length-1)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));for(var i=0,a=0;a<r.length;++a){var s=r[a],o=e[a+1];if(s!=null&&o!=null&&s!==o)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));s==null&&(r[i]=o),i++}return[e[0]].concat(r,[this.outputDim])},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);a.dtype!=="int32"&&(a=Pa(a,"int32"));var s=Q0(i.embeddings.read(),a.as1D());return s.reshape(Je(i.computeOutputShape(a.shape)))})},t.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:lt(this.embeddingsInitializer),embeddingsRegularizer:Ze(this.embeddingsRegularizer),activityRegularizer:Ze(this.activityRegularizer),embeddingsConstraint:St(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Embedding",t}(Fe);v.serialization.registerClass(Sv);var oi=function(n){Q(t,n);function t(e){var r=n.call(this,e||{})||this;return r.supportsMasking=!0,r}return t.prototype.mergeFunction=function(e){throw new Re},t.prototype.computeElementwiseOpOutputShape=function(e,r){if(e==null||r==null)return null;if(e.length<r.length)return this.computeElementwiseOpOutputShape(r,e);if(r.length===0)return e;for(var i=e.slice(0,e.length-r.length),a=0;a<r.length;++a){var s=e[e.length-r.length+a],o=r[a];if(s==null||o==null||s<0||o<0)i.push(null);else if(s===1)i.push(o);else if(o===1)i.push(s);else{if(s!==o)throw new M("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(r));i.push(s)}}return i},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Je(e)]),e=e,e.length<2)throw new M("A merge layer should be called on an Array of at least 2 inputs."+(" Got "+e.length+" input(s)."));for(var r=[],i=0,a=e;i<a.length;i++){var s=a[i];s!=null&&s[0]!==null&&r.push(s[0])}if(r=xr(r),r.length>1)throw new M("Can not merge tensors with different batch sizes. "+("Got tensors with shapes: "+JSON.stringify(e)+"."));for(var o=e[0]==null?null:e[0].slice(1),c=1;c<e.length;++c){var s=e[c]==null?null:e[c].slice(1);o=this.computeElementwiseOpOutputShape(o,s)}var l=e.map(function(u){return u.length});e.indexOf(null)===-1&&xr(l).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e=e,i.reshapeRequired){var a=[],s=e.map(function(O){return O.rank});if(s.indexOf(null)===-1){for(var o=Sr(s),c=0,l=e;c<l.length;c++){for(var u=l[c],h=u.rank,d=0;d<o-h;++d)u=Ma(u,1);a.push(u)}return i.mergeFunction(a)}else{for(var p=!1,f=0,m=e;f<m.length;f++){var u=m[f],h=u.rank;if(h==null){var g=u.shape,y=g[0],w=g.slice(1).concat([y]),b=u.reshape([y].concat(Lr(g.slice(1))));b=v.transpose(b,[1,0]),b=b.reshape(w),a.push(b),p=!0}else if(h>1){var x=bn(1,h).concat([0]);a.push(v.transpose(u,x)),p=!0}else a.push(u)}var L=i.mergeFunction(a),N=L.rank;if(p){if(N==null){var I=L.shape,C=I.length,y=I[C-1],w=[y].concat(I.slice(0,I.length-1));L=v.transpose(L.reshape([-1,y]),[1,0]).reshape(w)}else if(N>1){var x=[N-1].concat(bn(0,N-1));L=v.transpose(L,x)}}return L}}else return i.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){e=e;var r;e[0]==null?r=null:r=e[0].slice(1);for(var i=1;i<e.length;++i){var a=e[i]==null?null:e[i].slice(1);r=this.computeElementwiseOpOutputShape(r,a)}for(var s=[],o=0,c=e;o<c.length;o++){var a=c[o];a!=null&&a[0]!==null&&s.push(a[0])}return s=xr(s),s.length===1?r=s.concat(r):r=[null].concat(r),r},t.prototype.computeMask=function(e,r){return v.tidy(function(){if(r==null)return null;if(!Array.isArray(r))throw new M("`mask` should be an Array");if(!Array.isArray(e))throw new M("`inputs` should be an Array");if(r.length!==e.length)throw new M("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+("("+e.length+" vs "+r.length+")"));if(r.every(function(s){return s==null}))return null;r=r.map(function(s){return s==null?s:v.expandDims(s,0)});for(var i=r[0],a=1;a<r.length-1;++a)i=v.logicalAnd(i,r[a]);return i})},t}(Fe),Iv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return v.tidy(function(){for(var r=e[0].clone(),i=1;i<e.length;++i)r=v.add(r,e[i]);return r})},t.className="Add",t}(oi);v.serialization.registerClass(Iv);var Av=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return v.tidy(function(){for(var r=e[0].clone(),i=1;i<e.length;++i)r=v.mul(r,e[i]);return r})},t.className="Multiply",t}(oi);v.serialization.registerClass(Av);var Tv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return v.tidy(function(){for(var r=e[0].clone(),i=1;i<e.length;++i)r=v.add(r,e[i]);return v.mul(1/e.length,r)})},t.className="Average",t}(oi);v.serialization.registerClass(Tv);var Nv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return v.tidy(function(){for(var r=e[0],i=1;i<e.length;++i)r=v.maximum(r,e[i]);return r})},t.className="Maximum",t}(oi);v.serialization.registerClass(Nv);var _v=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return v.tidy(function(){for(var r=e[0],i=1;i<e.length;++i)r=v.minimum(r,e[i]);return r})},t.className="Minimum",t}(oi);v.serialization.registerClass(_v);var Cv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_AXIS=-1,e==null&&(e={}),r.axis=e.axis==null?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return t.prototype.build=function(e){if(!(Array.isArray(e)&&Array.isArray(e[0]))||e.length===1)throw new M("A `Concatenate` layer should be called on a list of at least 2 inputs");e=e;for(var r=!0,i=0,a=e;i<a.length;i++){var s=a[i];if(s!=null){r=!1;break}}if(r)return;for(var o=[],c=0;c<e.length;++c){var l=e[c].slice();l.splice(this.axis,1);for(var u=!1,h=0,d=o;h<d.length;h++){var s=d[h];if(v.util.arraysEqual(s,l)){u=!0;break}}u||o.push(l)}if(o.length>1)throw new M("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))},t.prototype.mergeFunction=function(e){var r=this;return v.tidy(function(){return Ih(e,r.axis)})},t.prototype.computeOutputShape=function(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new M("A `Concatenate` layer should be called on a list of inputs.");for(var r=e,i=r[0].slice(),a=this.axis<0?i.length+this.axis:this.axis,s=0,o=r.slice(1);s<o.length;s++){var c=o[s];if(i[a]==null||c[a]==null){i[a]=null;break}i[a]+=c[a]}return i},t.prototype.computeMask=function(e,r){var i=this;if(r==null)return null;if(!Array.isArray(r))throw new M("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new M("`inputs` should be an array for Concatenate");if(r.length!==e.length)throw new M("Mismatch in the length of mask ("+r.length+") "+("and the legnth of inputs ("+e.length+")"));return v.tidy(function(){var a=!0;if(r.forEach(function(l){if(l!=null){a=!1;return}}),a)return null;for(var s=[],o=0;o<e.length;++o)r[o]==null?s.push(v.onesLike(e[o]).asType("bool")):r[o].rank<e[o].rank?s.push(v.expandDims(r[o],-1)):s.push(r[o]);var c=v.concat(s,i.axis);return v.all(c,-1,!1)})},t.prototype.getConfig=function(){var e={axis:this.axis},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Concatenate",t}(oi);v.serialization.registerClass(Cv);function $a(n,t){for(;n<0;)n+=t;return n}function F7(n,t,e){if(n.shape.length>3||t.shape.length>3)throw new Re("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, "+("but got "+n.shape.length)}),v.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 Re("batchDot is not implemented for complex64-type Tensors yet.");var r=n.shape.length,i=t.shape.length;e==null&&(e=[r-1,i-2]);var a=e;return v.tidy(function(){var s;if(r>i){s=r-i;for(var o=[],c=0;c<s;++c)o.push(1);t=t.reshape(t.shape.concat(o))}else if(i>r){s=i-r;for(var o=[],c=0;c<s;++c)o.push(1);n=n.reshape(n.shape.concat(o))}else s=0;var l;if(n.shape.length===2&&t.shape.length===2)a[0]===a[1]?l=n.mul(t).sum(a[0]):l=n.transpose([1,0]).mul(t).sum(a[1]);else{var u=a[0]!==n.shape.length-1,h=a[1]===t.shape.length-1;l=n.matMul(t,u,h)}if(s>0){var d=void 0;r>i?d=r+i-3:d=r-1;for(var p=[],c=d;c<d+s;++c)p.push(c);l=l.squeeze(p)}return l.shape.length===1&&(l=l.expandDims(1)),l})}var Rv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.axes=e.axes,r.normalize=e.normalize==null?!1:e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return t.prototype.build=function(e){v.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 r=e[0],i=e[1];if(r.length>3||i.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(r,i);if(r[a[0]]!==i[a[1]])throw new M("Dimension incompatibility: "+(r[a[0]]+" !== "+i[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 r=e[0],i=e[1],a;return Array.isArray(this.axes)?a=this.axes.map(function(s,o){return $a(s,e[o].shape.length)}):a=[$a(this.axes,r.shape.length),$a(this.axes,i.shape.length)],this.normalize&&(r=yo(r,a[0]),i=yo(i,a[1])),F7(r,i,a)},t.prototype.interpretAxes=function(e,r){var i;return Array.isArray(this.axes)?i=this.axes:i=[$a(this.axes,e.length),$a(this.axes,r.length)],i},t.prototype.computeOutputShape=function(e){v.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 r=e[0].slice(),i=e[1].slice();if(r.length>3||i.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(r,i);r.splice(a[0],1),i.splice(a[1],1),i.splice(0,1);var s=r.concat(i);return s.length===1&&s.push(1),s},t.prototype.computeMask=function(e,r){return null},t.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Dot",t}(oi);v.serialization.registerClass(Rv);var Ov=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.stddev=e.stddev,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={stddev:this.stddev};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=function(){return uo(a.shape,0,i.stddev).add(a)},o=Va(s,function(){return a},r.training||!1);return o})},t.className="GaussianNoise",t}(Fe);v.serialization.registerClass(Ov);var Ev=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.rate=e.rate,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={rate:this.rate};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(i.rate>0&&i.rate<1){var s=function(){var o=Math.sqrt(i.rate/(1-i.rate));return a.mul(uo(a.shape,1,o))};return Va(s,function(){return a},r.training||!1)}return a})},t.className="GaussianDropout",t}(Fe);v.serialization.registerClass(Ev);var Dv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return t.prototype._getNoiseShape=function(e){return this.noiseShape||Oe(e).shape},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={rate:this.rate};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(i.rate<1&&i.rate>0){var a=i._getNoiseShape(e),s=function(){var o=Oe(e),c=1.6732632423543772,l=1.0507009873554805,u=-c*l,h=v.greaterEqual(v.randomUniform(a),i.rate);h=Pa(h,"float32");var d=Math.pow((1-i.rate)*(1+i.rate*Math.pow(u,2)),-.5),p=-d*u*i.rate,f=o.mul(h).add(h.add(-1).mul(u));return f.mul(d).add(p)};return Va(s,function(){return Oe(e)},r.training||!1)}return e})},t.className="AlphaDropout",t}(Fe);v.serialization.registerClass(Dv);function Xa(n,t,e,r,i,a){a===void 0&&(a=.001);var s;if(n.rank===2)s=v.batchNorm2d(n,t,e,r,i,a);else if(n.rank===3)s=v.batchNorm3d(n,t,e,r,i,a);else if(n.rank===4)s=v.batchNorm4d(n,t,e,r,i,a);else throw new Re("batchNormalization is not implemented for array of rank "+n.rank+" yet");return s}function W7(n,t,e,r,i){return i===void 0&&(i=.001),v.tidy(function(){var a=v.moments(n,r),s=a.mean,o=a.variance,c=Xa(n,s,o,e,t,i);return[c,s,o]})}function U7(n,t,e,r,i){return i===void 0&&(i=.001),v.tidy(function(){for(var a=v.moments(n,r),s=a.mean,o=a.variance,c=[],l=0,u=bn(0,n.rank);l<u.length;l++){var h=u[l];r.indexOf(h)!==-1?c.push(1):c.push(n.shape[h])}var d=s.reshape(c),p=o.reshape(c),f=t==null?null:t.reshape(c),m=e==null?null:e.reshape(c),g=Xa(n,d,p,m,f,i);return[g,s,o]})}function B7(n,t,e,r,i){return i===void 0&&(i=.001),v.util.arraysEqual(r.slice().sort(),bn(0,n.rank-1))?W7(n,t,e,r,i):U7(n,t,e,r,i)}var kv=function(n){Q(t,n);function t(e){var r=this;return e==null&&(e={}),r=n.call(this,e)||this,r.supportsMasking=!0,r.axis=e.axis==null?-1:e.axis,r.momentum=e.momentum==null?.99:e.momentum,r.epsilon=e.epsilon==null?.001:e.epsilon,r.center=e.center==null?!0:e.center,r.scale=e.scale==null?!0:e.scale,r.betaInitializer=at(e.betaInitializer||"zeros"),r.gammaInitializer=at(e.gammaInitializer||"ones"),r.movingMeanInitializer=at(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=at(e.movingVarianceInitializer||"ones"),r.betaConstraint=It(e.betaConstraint),r.gammaConstraint=It(e.gammaConstraint),r.betaRegularizer=st(e.betaRegularizer),r.gammaRegularizer=st(e.gammaRegularizer),r}return t.prototype.build=function(e){var r;e=Je(e);var i=this.axis>=0?this.axis:this.axis+e.length,a=e[i];if(a==null)throw new M("Axis "+i+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(e)+"."));this.inputSpec=[new Ct({ndim:e.length,axes:(r={},r[i]=a,r)})];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,r){var i=this;return v.tidy(function(){var a=r.training==null?!1:r.training,s=Oe(e),o=s.shape,c=o.length,l=bn(0,c),u=i.axis>=0?i.axis:i.axis+c;l.splice(u,1);var h=ti(1,c);h[u]=o[u];var d=l.slice();d.sort();var p=!v.util.arraysEqual(d,bn(0,c).slice(0,c-1)),f=function(){if(p){var L=i.movingMean.read().reshape(h),N=i.movingVariance.read().reshape(h),I=i.center?i.beta.read().reshape(h):null,C=i.scale?i.gamma.read().reshape(h):null;return Xa(s,L,N,I,C,i.epsilon)}else return Xa(s,i.movingMean.read(),i.movingVariance.read(),i.beta==null?null:i.beta.read(),i.gamma==null?null:i.gamma.read(),i.epsilon)};if(!a)return f();var m=B7(s,i.gamma.read(),i.beta.read(),l,i.epsilon),g=m[0],y=m[1],w=m[2],b=function(L,N,I){v.tidy(function(){var C=1-I,O=L.read(),D=O.sub(N).mul(C);L.write(O.sub(D))})},x=function(){b(i.movingMean,y,i.momentum),b(i.movingVariance,w,i.momentum)};return x(),g})},t.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:lt(this.betaInitializer),gammaInitializer:lt(this.gammaInitializer),movingMeanInitializer:lt(this.movingMeanInitializer),movingVarianceInitializer:lt(this.movingVarianceInitializer),betaRegularizer:Ze(this.betaRegularizer),gammaRegularizer:Ze(this.gammaRegularizer),betaConstraint:St(this.betaConstraint),gammaConstraint:St(this.gammaConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="BatchNormalization",t}(Fe);v.serialization.registerClass(kv);var Fv=function(n){Q(t,n);function t(e){var r=this;if(e==null&&(e={}),r=n.call(this,e)||this,r.axis=e.axis==null?-1:e.axis,typeof r.axis=="number"){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received "+r.axis)}else if(Array.isArray(r.axis))for(var i=0,a=r.axis;i<a.length;i++){var s=a[i];if(!Number.isInteger(s))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(r.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(r.axis)));return r.epsilon=e.epsilon==null?.001:e.epsilon,r.center=e.center==null?!0:e.center,r.scale=e.scale==null?!0:e.scale,r.betaInitializer=at(e.betaInitializer||"zeros"),r.gammaInitializer=at(e.gammaInitializer||"ones"),r.betaRegularizer=st(e.betaRegularizer),r.gammaRegularizer=st(e.gammaRegularizer),r.supportsMasking=!0,r}return t.prototype.build=function(e){e=Je(e);var r=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(var i=0;i<this.axis.length;++i)this.axis[i]<0&&(this.axis[i]+=r);for(var a=0,s=this.axis;a<s.length;a++){var o=s[a];if(o<0||o>=r)throw new Error("Invalid axis: "+o)}if(this.axis.length!==xr(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var c=this.axis.map(function(u){return e[u]}),l=!0;this.scale?this.gamma=this.addWeight("gamma",c,"float32",this.gammaInitializer,this.gammaRegularizer,l):this.gamma=null,this.center?this.beta=this.addWeight("beta",c,"float32",this.betaInitializer,this.betaRegularizer,l):this.beta=null,this.built=!0},t.prototype.call=function(e,r){var i=this,a=Oe(e),s=a.shape,o=s.length;return v.tidy(function(){for(var c=!0,l=v.moments(a,i.axis,c),u=l.mean,h=l.variance,d=ti(1,o),p=0,f=i.axis;p<f.length;p++){var m=f[p];d[m]=s[m]}for(var g=function(N){return N!=null&&N.shape.length!==o&&i.axis!==[o-1]?N.reshape(d):N},y=g(i.gamma.read()),w=g(i.beta.read()),b=[],x=[],L=0;L<o;++L)i.axis.indexOf(L)!==-1?(b.push(s[L]),x.push(1)):(b.push(1),x.push(s[L]));return u=u.tile(b),h=h.tile(b),y=y.tile(x),w=w.tile(x),Xa(a,u,h,w,y,i.epsilon)})},t.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:lt(this.betaInitializer),gammaInitializer:lt(this.gammaInitializer),betaRegularizer:Ze(this.betaRegularizer),gammaRegularizer:Ze(this.gammaRegularizer)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="LayerNormalization",t}(Fe);v.serialization.registerClass(Fv);function z7(n,t,e){return v.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=wn()),e!=="channelsLast"&&e!=="channelsFirst")throw new M("Unknown data format: "+e+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return e==="channelsFirst"?r=[[0,0],[0,0],t[0],t[1]]:r=[[0,0],t[0],t[1],[0,0]],v.pad(n,r)})}var Wv=function(n){Q(t,n);function t(e){var r=this;if(e==null&&(e={}),r=n.call(this,e)||this,r.dataFormat=e.dataFormat==null?wn():e.dataFormat,e.padding==null)r.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")r.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 i=void 0,a=void 0;if(typeof e.padding[0]=="number")i=[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(i=e.padding[0],e.padding[1].length!==2)throw new M("ZeroPadding2D expects width padding to be a length-2 array, "+("but received a length-"+e.padding[1].length+" array."));a=e.padding[1]}r.padding=[i,a]}return r.inputSpec=[new Ct({ndim:4})],r}return t.prototype.computeOutputShape=function(e){e=Je(e);var r,i;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?r=e[2]+this.padding[0][0]+this.padding[0][1]:r=null,e[3]!=null&&e[3]>=0?i=e[3]+this.padding[1][0]+this.padding[1][1]:i=null,[e[0],e[1],r,i]):(e[1]!=null&&e[1]>=0?r=e[1]+this.padding[0][0]+this.padding[0][1]:r=null,e[2]!=null&&e[2]>=0?i=e[2]+this.padding[1][0]+this.padding[1][1]:i=null,[e[0],r,i,e[3]])},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return z7(Oe(e),i.padding,i.dataFormat)})},t.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="ZeroPadding2D",t}(Fe);v.serialization.registerClass(Wv);function Co(n,t,e,r,i,a){return v.tidy(function(){mt(i),Y0(a),sn(r),e==null&&(e=[1,1]),r==null&&(r="valid"),i==null&&(i=wn()),a==null&&(a="max"),n=Zh(n,i);var s,o=r==="same"?"same":"valid";return a==="max"?s=v.maxPool(n,t,e,o):s=v.avgPool(n,t,e,o),i==="channelsFirst"&&(s=v.transpose(s,[0,3,1,2])),s})}function Uv(n,t,e,r,i,a){return v.tidy(function(){mt(i),Y0(a),sn(r),e==null&&(e=[1,1,1]),r==null&&(r="valid"),i==null&&(i=wn()),a==null&&(a="max"),n=Qy(n,i);var s,o=r==="same"?"same":"valid";return a==="max"?s=v.maxPool3d(n,t,e,o):s=v.avgPool3d(n,t,e,o),i==="channelsFirst"&&(s=v.transpose(s,[0,4,1,2,3])),s})}var Bv=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=2),r=n.call(this,e)||this,typeof e.poolSize=="number")r.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")r.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(_t(r.poolSize,"poolSize"),e.strides==null)r.strides=r.poolSize;else if(typeof e.strides=="number")r.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")r.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 _t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,sn(r.padding),r.inputSpec=[new Ct({ndim:3})],r}return t.prototype.computeOutputShape=function(e){e=Je(e);var r=Sn(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],r,e[2]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r),e=Ma(Oe(e),2);var a=i.poolingFunction(Oe(e),[i.poolSize[0],1],[i.strides[0],1],i.padding,"channelsLast");return v.squeeze(a,[2])})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),zv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return mt(s),sn(a),Co(e,r,i,a,s,"max")},t.className="MaxPooling1D",t}(Bv);v.serialization.registerClass(zv);var Pv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return mt(s),sn(a),Co(e,r,i,a,s,"avg")},t.className="AveragePooling1D",t}(Bv);v.serialization.registerClass(Pv);var Mv=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=[2,2]),r=n.call(this,e)||this,r.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)r.strides=r.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 received length "+(e.strides.length+"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return _t(r.poolSize,"poolSize"),_t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,mt(r.dataFormat),sn(r.padding),r.inputSpec=[new Ct({ndim:4})],r}return t.prototype.computeOutputShape=function(e){e=Je(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2];return r=Sn(r,this.poolSize[0],this.padding,this.strides[0]),i=Sn(i,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],r,i]:[e[0],r,i,e[3]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return i.invokeCallHook(e,r),i.poolingFunction(Oe(e),i.poolSize,i.strides,i.padding,i.dataFormat)})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),Hv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return mt(s),sn(a),Co(e,r,i,a,s,"max")},t.className="MaxPooling2D",t}(Mv);v.serialization.registerClass(Hv);var Vv=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return mt(s),sn(a),Co(e,r,i,a,s,"avg")},t.className="AveragePooling2D",t}(Mv);v.serialization.registerClass(Vv);var Gv=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=[2,2,2]),r=n.call(this,e)||this,r.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new M("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+(e.strides.length+"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return _t(r.poolSize,"poolSize"),_t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,mt(r.dataFormat),sn(r.padding),r.inputSpec=[new Ct({ndim:5})],r}return t.prototype.computeOutputShape=function(e){e=Je(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return r=Sn(r,this.poolSize[0],this.padding,this.strides[0]),i=Sn(i,this.poolSize[1],this.padding,this.strides[1]),a=Sn(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],r,i,a]:[e[0],r,i,a,e[4]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return 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e=this,r=t.nodeDef,i=[],a=[],s={};r!=null&&(s=r.reduce(function(d,p){return d[p.name]=e.mapNode(p),p.op==="Const"&&a.push(d[p.name]),d},{}));var o=[],c=[];t.signature.inputArg.forEach(function(d){var p=gt(er(d.name),1),f=p[0],m={name:f,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:dd(d.type),type:"dtype"}},children:[]};m.signatureKey=d.name,o.push(m),s[f]=m});var l=Object.keys(s);l.forEach(function(d){var p=s[d];p.inputNames.forEach(function(f){var m=gt(er(f),1),g=m[0];p.inputs.push(s[g]),s[g].children.push(p)})});var u=t.ret;t.signature.outputArg.forEach(function(d){var p=gt(er(u[d.name]),2),f=p[0],m=p[1],g=s[f];g!=null&&(g.defaultOutput=m,c.push(g))});var h=this.mapArgsToSignature(t);return{nodes:s,inputs:o,outputs:c,weights:a,placeholders:i,signature:h}},n.prototype.mapArgsToSignature=function(t){var e=this;return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce(function(r,i){return r[i.name]=e.mapArgToTensorInfo(i),r},{}),outputs:t.signature.outputArg.reduce(function(r,i){return r[i.name]=e.mapArgToTensorInfo(i,t.ret),r},{})}},n.prototype.mapArgToTensorInfo=function(t,e){var r=t.name;return e!=null&&(r=e[r]),{name:r,dtype:t.type}},n}();function ik(n){var t=W.env().global;if(typeof t.atob!="undefined")return t.atob(n);if(typeof Buffer!="undefined")return new Buffer(n,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function m1(n,t){var e=Array.isArray(n)?String.fromCharCode.apply(null,n):ik(n);return t?e:e.toLowerCase()}function ld(n,t,e,r){r===void 0&&(r=!1);var i=n[t];return i!=null?m1(i.s,r):e}function ud(n,t,e){var r=n[t];return r?r.b:e}function hd(n,t,e){var r=n[t]||{},i=r.i!=null?r.i:r.f!=null?r.f:e;return typeof i=="number"?i:parseInt(i,10)}function dd(n){typeof n=="string"&&(n=In[n]);switch(n){case In.DT_FLOAT:return"float32";case In.DT_INT32:case In.DT_INT64:case In.DT_INT8:case In.DT_UINT8:return"int32";case In.DT_BOOL:return"bool";case In.DT_DOUBLE:return"float32";case In.DT_STRING:return"string";default:return null}}function p1(n,t,e){var r=n[t];return r&&r.func?r.func.name:e}function pd(n,t,e){var r=n[t];return r&&r.type?dd(r.type):e}function fd(n,t,e){var r=n[t];return r&&r.list&&r.list.type?r.list.type.map(function(i){return dd(i)}):e}function g1(n){return n.unknownRank?void 0:n.dim!=null?n.dim.map(function(t){return typeof t.size=="number"?t.size:parseInt(t.size,10)}):[]}function md(n,t,e){var r=n[t];return r&&r.shape?g1(r.shape):e}function gd(n,t,e){var r=n[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(i){return typeof i=="number"?i:parseInt(i,10)}):e}function yd(n,t,e,r){r===void 0&&(r=!1);var i=n[t];return i&&i.list&&i.list.s?i.list.s.map(function(a){return m1(a,r)}):e}function vd(n,t,e){var r=n[t];return r&&r.list&&r.list.shape?r.list.shape.map(function(i){return g1(i)}):e}function wd(n,t,e){var r=n[t];return r&&r.list&&r.list.b?r.list.b:e}var ak=function(){function n(t,e,r){var i=this;this.node=t,this.tensorMap=e,this.context=r,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(a){return i.getInput(a)}),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(a,s){return a[s]=i.getAttr(s),a},{}))}return n.prototype.getInput=function(t){return Gt(t,this.tensorMap,this.context)},n.prototype.getAttr=function(t,e){var r=this.node.rawAttrs[t];if(r.tensor!=null)return Gt(t,this.tensorMap,this.context);if(r.i!=null||r.f!=null)return hd(this.node.rawAttrs,t,e);if(r.s!=null)return ld(this.node.rawAttrs,t,e);if(r.b!=null)return ud(this.node.rawAttrs,t,e);if(r.shape!=null)return md(this.node.rawAttrs,t,e);if(r.type!=null)return pd(this.node.rawAttrs,t,e);if(r.list!=null){if(r.list.i!=null||r.list.f!=null)return gd(this.node.rawAttrs,t,e);if(r.list.s!=null)return yd(this.node.rawAttrs,t,e);if(r.list.shape!=null)return vd(this.node.rawAttrs,t,e);if(r.list.b!=null)return wd(this.node.rawAttrs,t,e);if(r.list.type!=null)return fd(this.node.rawAttrs,t,e)}return e},n}();var sk=function(n,t,e){switch(n.op){case"BiasAdd":case"AddV2":case"Add":return[W.add(T("a",n,t,e),T("b",n,t,e))];case"AddN":return[W.addN(T("tensors",n,t,e))];case"FloorMod":case"Mod":return[W.mod(T("a",n,t,e),T("b",n,t,e))];case"Mul":return[W.mul(T("a",n,t,e),T("b",n,t,e))];case"RealDiv":case"Div":return[W.div(T("a",n,t,e),T("b",n,t,e))];case"DivNoNan":return[W.divNoNan(T("a",n,t,e),T("b",n,t,e))];case"FloorDiv":return[W.floorDiv(T("a",n,t,e),T("b",n,t,e))];case"Sub":return[W.sub(T("a",n,t,e),T("b",n,t,e))];case"Minimum":return[W.minimum(T("a",n,t,e),T("b",n,t,e))];case"Maximum":return[W.maximum(T("a",n,t,e),T("b",n,t,e))];case"Pow":return[W.pow(T("a",n,t,e),T("b",n,t,e))];case"SquaredDifference":return[W.squaredDifference(T("a",n,t,e),T("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var ok=function(n,t,e){switch(n.op){case"Abs":case"ComplexAbs":return[W.abs(T("x",n,t,e))];case"Acos":return[W.acos(T("x",n,t,e))];case"Acosh":return[W.acosh(T("x",n,t,e))];case"Asin":return[W.asin(T("x",n,t,e))];case"Asinh":return[W.asinh(T("x",n,t,e))];case"Atan":return[W.atan(T("x",n,t,e))];case"Atan2":return[W.atan2(T("x",n,t,e),T("y",n,t,e))];case"Atanh":return[W.atanh(T("x",n,t,e))];case"Ceil":return[W.ceil(T("x",n,t,e))];case"Complex":return[W.complex(T("real",n,t,e),T("imag",n,t,e))];case"Cos":return[W.cos(T("x",n,t,e))];case"Cosh":return[W.cosh(T("x",n,t,e))];case"Elu":return[W.elu(T("x",n,t,e))];case"Erf":return[W.erf(T("x",n,t,e))];case"Exp":return[W.exp(T("x",n,t,e))];case"Expm1":return[W.expm1(T("x",n,t,e))];case"Floor":return[W.floor(T("x",n,t,e))];case"Log":return[W.log(T("x",n,t,e))];case"Log1p":return[W.log1p(T("x",n,t,e))];case"Imag":return[W.imag(T("x",n,t,e))];case"Neg":return[W.neg(T("x",n,t,e))];case"Reciprocal":return[W.reciprocal(T("x",n,t,e))];case"Real":return[W.real(T("x",n,t,e))];case"Relu":return[W.relu(T("x",n,t,e))];case"Round":return[W.round(T("x",n,t,e))];case"Selu":return[W.selu(T("x",n,t,e))];case"Sigmoid":return[W.sigmoid(T("x",n,t,e))];case"Sin":return[W.sin(T("x",n,t,e))];case"Sign":return[W.sign(T("x",n,t,e))];case"Sinh":return[W.sinh(T("x",n,t,e))];case"Softplus":return[W.softplus(T("x",n,t,e))];case"Sqrt":return[W.sqrt(T("x",n,t,e))];case"Square":return[W.square(T("x",n,t,e))];case"Tanh":return[W.tanh(T("x",n,t,e))];case"Tan":return[W.tan(T("x",n,t,e))];case"Relu6":case"ClipByValue":return[W.clipByValue(T("x",n,t,e),T("clipValueMin",n,t,e),T("clipValueMax",n,t,e))];case"Rsqrt":return[W.rsqrt(Gt(n.inputNames[0],t,e))];case"Prod":return[W.prod(T("x",n,t,e),T("axes",n,t,e))];case"LeakyRelu":return[W.leakyRelu(T("x",n,t,e),T("alpha",n,t,e))];case"Prelu":return[W.prelu(T("x",n,t,e),T("alpha",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function dn(n,t,e){e===void 0&&(e=""),W.util.assert(ck(n,t),function(){return e+(" Shapes "+n+" and "+t+" must match")})}function ck(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 lk=function(){function n(t,e,r,i,a,s,o){this.name=t,this.dtype=e,this.maxSize=r,this.elementShape=i,this.identicalElementShapes=a,this.dynamicSize=s,this.clearAfterRead=o,this.tensors=[],this.closed_=!1,this.idTensor=W.scalar(0),W.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(r){return e.read(r)})},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 r=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+`,
because the value dtype is `+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),dn(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),r.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(r.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");r.tensor=e,W.keep(e),r.written=!0,this.tensors[t]=r},n.prototype.writeMany=function(t,e){var r=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(i,a){return r.write(i,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 r=0;r<this.size();r++)t.push(r)}if(t.length===0)return W.tensor([],[0].concat(this.elementShape));var i=this.readMany(t);return dn(this.elementShape,i[0].shape,"TensorArray shape mismatch: "),W.stack(i,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 W.tensor([],[0].concat(this.elementShape));for(var e=[],r=0;r<this.size();r++)e.push(r);var i=this.readMany(e);return dn(this.elementShape,i[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+i[0].shape+")"),W.concat(i,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 r=Math.max.apply(Math,Rr(t));if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size ("+r+" vs. "+this.maxSize+")");this.writeMany(t,W.unstack(e,0))},n.prototype.split=function(t,e){var r=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var i=0,a=t.map(function(u){return i+=u,i});if(i!==e.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: "+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=i===0?0:e.size/i,o=[];W.tidy(function(){e=W.reshape(e,[1,i,s]);for(var u=0;u<t.length;++u){var h=u===0?0:a[u-1],d=[0,h,0],p=[1,t[u],s];o[u]=W.reshape(W.slice(e,d,p),r.elementShape)}return o});for(var c=[],l=0;l<t.length;l++)c[l]=l;this.writeMany(c,o)},n}();var Do=function(){function n(t,e,r,i){i===void 0&&(i=-1),this.tensors=t,this.elementShape=e,this.elementDtype=r,t!=null&&t.forEach(function(a){if(r!==a.dtype)throw new Error("Invalid data types; op elements "+r+", but list elements "+a.dtype);dn(e,a.shape,"TensorList shape mismatch: "),W.keep(a)}),this.idTensor=W.scalar(0),this.maxNumElements=i,W.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(Rr(this.tensors),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,r){var i=this;if(r===void 0&&(r=-1),e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);if(r!==-1&&this.tensors.length!==r)throw new Error("Operation expected a list with "+r+" elements but got a list with "+this.tensors.length+" elements.");return dn(t,this.elementShape,"TensorList shape mismatch: "),W.tidy(function(){var a=i.tensors.map(function(s){return W.reshape(s,t)});return W.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 r=this.tensors.pop();return dn(r.shape,t,"TensorList shape mismatch: "),W.reshape(r,t)},n.prototype.pushBack=function(t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+t.dtype+", but list elements "+this.elementDtype);if(dn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");W.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,r){if(r!==this.elementDtype)throw new Error("Invalid data types; op elements "+r+", but list elements "+this.elementDtype);if(t<0||t>this.tensors.length)throw new Error("Trying to access element "+t+" in a list with "+this.tensors.length+" elements.");if(this.tensors[t]==null)throw new Error("element at index "+t+" is null.");return dn(this.tensors[t].shape,e,"TensorList shape mismatch: "),this.tensors[t]},n.prototype.setItem=function(t,e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error("Trying to set element "+t+" in a list with max "+this.maxNumElements+" elements.");dn(this.elementShape,e.shape,"TensorList shape mismatch: "),W.keep(e),this.tensors[t]=e},n.prototype.gather=function(t,e,r){var i=this;if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);return dn(this.elementShape,r,"TensorList shape mismatch: "),t=t.slice(0,this.size()),t.length===0?W.tensor([],[0].concat(this.elementShape)):W.tidy(function(){var a=t.map(function(s){return W.reshape(i.tensors[s],r)});return W.stack(a,0)})},n.prototype.concat=function(t,e){var r=this;if(!!t&&t!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+t);return dn(this.elementShape,e,"TensorList shape mismatch: "),this.size()===0?W.tensor([],[0].concat(this.elementShape)):W.tidy(function(){var i=r.tensors.map(function(a){return W.reshape(a,e)});return W.concat(i,0)})},n}();function uk(n,t,e){var r=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 i=n.shape.slice(1);dn(i,t,"TensorList shape mismatch: ");var a=W.unstack(n);return new Do(a,t,r)}function hk(n,t,e){return new Do([],n,t,e)}function dk(n,t,e,r){if(t.length!==n.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+n.shape[0]);var i=Math.max.apply(Math,Rr(t));if(r!=null&&r!==-1&&i>=r)throw new Error("Max index must be < array size ("+i+" vs. "+r+")");var a=new Do([],e,n.dtype,r),s=W.unstack(n,0);return t.forEach(function(o,c){a.setItem(o,s[c])}),a}function pk(n,t,e){var r=0,i=t.map(function(l){return r+=l,r});if(r!==n.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: "+n.shape);for(var a=r===0?0:n.size/r,s=W.tidy(function(){var l=[];n=W.reshape(n,[1,r,a]);for(var u=0;u<t.length;++u){var h=u===0?0:i[u-1],d=[0,h,0],p=[1,t[u],a];l[u]=W.reshape(W.slice(n,d,p),e)}return n.dispose(),l}),o=new Do([],e,n.dtype,t.length),c=0;c<s.length;c++)o.setItem(c,s[c]);return o}var fk=void 0,mk=function(n,t,e){return on(fk,void 0,void 0,function(){var r,i,a,s,o,c,l,u,o,h,d,c,p,f,m,m,g,y,g,w,g,g,g,b,x,L,N,I,C,O,D,F,k,B,V,P,G,j,q,H,J,$,ee,te,ne,re,ie,oe,se,me,ye,ve,Ee,Be,We,Ke,ze,Ie,k,B,ue,Ie,G,L,et,ue,te,ne,L,pt,ue,L,He,pt,ue,q,H,L,He,ue,Ie,L,He,pt,ue,Ot,L,He,ue,ie,ue,se,L,Ie,B,ue,Ie,L,et,ue,ye,L,ve,ue;return Zt(this,function(ut){switch(ut.label){case 0:r=n.op;switch(r){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 i=T("thenBranch",n,t,e),a=T("elseBranch",n,t,e),s=T("cond",n,t,e),o=T("args",n,t,e),[4,s.data()];case 2:return c=ut.sent(),c[0]?[2,e.functionMap[i].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)]:[2,e.functionMap[a].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 3:return l=T("body",n,t,e),u=T("cond",n,t,e),o=T("args",n,t,e),[4,e.functionMap[u].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 4:return h=ut.sent(),d=o.map(function(vt){return vt.id}),[4,h[0].data()];case 5:c=ut.sent(),h.forEach(function(vt){!vt.kept&&d.indexOf(vt.id)===-1&&vt.dispose()}),p=o,f=function(){var vt,Te,ht;return Zt(this,function(ft){switch(ft.label){case 0:return vt=p,[4,e.functionMap[l].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 1:return p=ft.sent(),Te=p.map(function(Ge){return Ge.id}),vt.forEach(function(Ge){!Ge.kept&&d.indexOf(Ge.id)===-1&&Te.indexOf(Ge.id)===-1&&Ge.dispose()}),[4,e.functionMap[u].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 2:return ht=ft.sent(),[4,ht[0].data()];case 3:return c=ft.sent(),ht.forEach(function(Ge){!Ge.kept&&d.indexOf(Ge.id)===-1&&Te.indexOf(Ge.id)===-1&&Ge.dispose()}),[2]}})},ut.label=6;case 6:return c[0]?[5,f()]:[3,8];case 7:return ut.sent(),[3,6];case 8:return[2,p];case 9:return m=T("pred",n,t,e),[2,[tr(m)]];case 10:return m=T("pred",n,t,e),g=T("data",n,t,e),g.kept||(g=tr(g)),[4,m.data()];case 11:return[2,ut.sent()[0]?[void 0,g]:[g,void 0]];case 12:return y=n.inputNames.find(function(vt){return Gt(vt,t,e)!==void 0}),y?(g=Gt(y,t,e),[2,[tr(g)]]):[2,void 0];case 13:return w=T("frameName",n,t,e),g=T("tensor",n,t,e),e.enterFrame(w),[2,[tr(g)]];case 14:return g=T("tensor",n,t,e),e.exitFrame(),[2,[tr(g)]];case 15:return g=T("tensor",n,t,e),e.nextIteration(),[2,[tr(g)]];case 16:return b=T("size",n,t,e),x=T("dtype",n,t,e),L=T("elementShape",n,t,e),N=T("dynamicSize",n,t,e),I=T("clearAfterRead",n,t,e),C=T("identicalElementShapes",n,t,e),O=T("name",n,t,e),D=new lk(O,x,b,L,C,N,I),e.addTensorArray(D),[2,[D.idTensor,W.scalar(1)]];case 17:return F=T("tensorArrayId",n,t,e),k=T("index",n,t,e),B=T("tensor",n,t,e),V=e.getTensorArray(F.id),V.write(k,B),[2,[V.idTensor]];case 18:return P=T("tensorArrayId",n,t,e),G=T("index",n,t,e),j=e.getTensorArray(P.id),[2,[j.read(G)]];case 19:return q=T("tensorArrayId",n,t,e),H=T("indices",n,t,e),J=T("dtype",n,t,e),$=e.getTensorArray(q.id),[2,[$.gather(H,J)]];case 20:return ee=T("tensorArrayId",n,t,e),te=T("indices",n,t,e),ne=T("tensor",n,t,e),re=e.getTensorArray(ee.id),re.scatter(te,ne),[2,[re.idTensor]];case 21:return ie=T("tensorArrayId",n,t,e),oe=e.getTensorArray(ie.id),se=T("dtype",n,t,e),[2,[oe.concat(se)]];case 22:return me=T("tensorArrayId",n,t,e),ye=T("tensor",n,t,e),ve=T("lengths",n,t,e),Ee=e.getTensorArray(me.id),Ee.split(ve,ye),[2,[Ee.idTensor]];case 23:return Be=T("tensorArrayId",n,t,e),We=e.getTensorArray(Be.id),[2,[W.scalar(We.size(),"int32")]];case 24:return Ke=T("tensorArrayId",n,t,e),ze=e.getTensorArray(Ke.id),ze.clearAndClose(),[2,[ze.idTensor]];case 25:return Ie=T("tensorListId",n,t,e),k=T("index",n,t,e),B=T("tensor",n,t,e),ue=e.getTensorList(Ie.id),ue.setItem(k,B),[2,[ue.idTensor]];case 26:return Ie=T("tensorListId",n,t,e),G=T("index",n,t,e),L=T("elementShape",n,t,e),et=T("elementDType",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.getItem(G,L,et)]];case 27:return te=T("indices",n,t,e),ne=T("tensor",n,t,e),L=T("elementShape",n,t,e),pt=T("numElements",n,t,e),ue=dk(ne,te,L,pt),e.addTensorList(ue),[2,[ue.idTensor]];case 28:return L=T("elementShape",n,t,e),He=T("elementDType",n,t,e),pt=T("numElements",n,t,e),ue=hk(L,He,pt),e.addTensorList(ue),[2,[ue.idTensor]];case 29:return q=T("tensorListId",n,t,e),H=T("indices",n,t,e),L=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ue=e.getTensorList(q.id),[2,[ue.gather(H,He,L)]];case 30:return Ie=T("tensorListId",n,t,e),L=T("elementShape",n,t,e),He=T("elementDType",n,t,e),pt=T("numElements",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.stack(L,He,pt)]];case 31:return Ot=T("tensor",n,t,e),L=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ue=uk(Ot,L,He),e.addTensorList(ue),[2,[ue.idTensor]];case 32:return ie=T("tensorListId",n,t,e),ue=e.getTensorList(ie.id),se=T("dtype",n,t,e),L=T("elementShape",n,t,e),[2,[ue.concat(se,L)]];case 33:return Ie=T("tensorListId",n,t,e),B=T("tensor",n,t,e),ue=e.getTensorList(Ie.id),ue.pushBack(B),[2,[ue.idTensor]];case 34:return Ie=T("tensorListId",n,t,e),L=T("elementShape",n,t,e),et=T("elementDType",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.popBack(L,et)]];case 35:return ye=T("tensor",n,t,e),L=T("elementShape",n,t,e),ve=T("lengths",n,t,e),ue=pk(ye,ve,L),e.addTensorList(ue),[2,[ue.idTensor]];case 36:throw TypeError("Node type "+n.op+" is not implemented")}})})};function y1(n,t,e){var r=gt(T("fusedOps",n,t,e),2),i=r[0],a=r[1],s=i==="biasadd",o=a==="prelu",c=i==="fusedbatchnorm",l=T("numArgs",n,t,e);if(s){if(o&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var u=T("strides",n,t,e),h=Eo(n,t,e),d=T("dataFormat",n,t,e).toUpperCase(),p=T("dilations",n,t,e),f=gt(T("args",n,t,e),2),m=f[0],g=f[1];return{stride:u,pad:h,dataFormat:d,dilations:p,biasArg:m,preluArg:g,activationFunc:a}}var gk=function(n,t,e){switch(n.op){case"Conv1D":{var r=T("stride",n,t,e),i=T("pad",n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),s=T("dilation",n,t,e);return[W.conv1d(T("x",n,t,e),T("filter",n,t,e),r,i,a,s)]}case"Conv2D":{var r=T("strides",n,t,e),i=Eo(n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),o=T("dilations",n,t,e);return[W.conv2d(T("x",n,t,e),T("filter",n,t,e),[r[1],r[2]],i,a,[o[1],o[2]])]}case"_FusedConv2D":{var c=y1(n,t,e),r=c.stride,i=c.pad,a=c.dataFormat,o=c.dilations,l=c.biasArg,u=c.preluArg,h=c.activationFunc;return[W.fused.conv2d({x:T("x",n,t,e),filter:T("filter",n,t,e),strides:[r[1],r[2]],pad:i,dataFormat:a,dilations:[o[1],o[2]],bias:l,activation:h,preluActivationWeights:u})]}case"FusedDepthwiseConv2dNative":{var d=y1(n,t,e),r=d.stride,i=d.pad,a=d.dataFormat,o=d.dilations,l=d.biasArg,u=d.preluArg,h=d.activationFunc;return[W.fused.depthwiseConv2d({x:T("x",n,t,e),filter:T("filter",n,t,e),strides:[r[1],r[2]],pad:i,dataFormat:a,dilations:[o[1],o[2]],bias:l,activation:h,preluActivationWeights:u})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var p=T("outputShape",n,t,e),r=T("strides",n,t,e),i=Eo(n,t,e);return[W.conv2dTranspose(T("x",n,t,e),T("filter",n,t,e),p,[r[1],r[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var r=T("strides",n,t,e),i=Eo(n,t,e),o=T("dilations",n,t,e),a=T("dataFormat",n,t,e).toUpperCase();return[W.depthwiseConv2d(T("input",n,t,e),T("filter",n,t,e),[r[1],r[2]],i,a,[o[1],o[2]])]}case"Conv3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),o=T("dilations",n,t,e);return[W.conv3d(T("x",n,t,e),T("filter",n,t,e),[r[1],r[2],r[3]],i,a,[o[1],o[2],o[3]])]}case"AvgPool":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.avgPool(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i)]}case"MaxPool":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.maxPool(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i)]}case"MaxPoolWithArgmax":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e),m=T("includeBatchInIndex",n,t,e),g=W.maxPoolWithArgmax(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i,m),y=g.result,w=g.indexes;return[y,w]}case"AvgPool3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.avgPool3d(T("x",n,t,e),[f[1],f[2],f[3]],[r[1],r[2],r[3]],i)]}case"MaxPool3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.maxPool3d(T("x",n,t,e),[f[1],f[2],f[3]],[r[1],r[2],r[3]],i)]}case"Dilation2D":{var b=T("strides",n,t,e),i=T("pad",n,t,e),o=T("dilations",n,t,e),x=b[1],L=b[2],N=o[1],I=o[2];return[W.dilation2d(T("x",n,t,e),T("filter",n,t,e),[x,L],i,[N,I],"NHWC")]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var yk=function(n,t,e){switch(n.op){case"Fill":{var r=T("shape",n,t,e),i=T("dtype",n,t,e),a=T("value",n,t,e);return[W.fill(r,a,i)]}case"LinSpace":{var s=T("start",n,t,e),o=T("stop",n,t,e),c=T("num",n,t,e);return[W.linspace(s,o,c)]}case"Multinomial":{var l=T("logits",n,t,e),u=T("numSamples",n,t,e),h=T("seed",n,t,e);return[W.multinomial(l,u,h)]}case"OneHot":{var d=T("indices",n,t,e),p=T("depth",n,t,e),f=T("onValue",n,t,e),m=T("offValue",n,t,e);return[W.oneHot(d,p,f,m)]}case"Ones":return[W.ones(T("shape",n,t,e),T("dtype",n,t,e))];case"OnesLike":return[W.onesLike(T("x",n,t,e))];case"RandomUniform":return[W.randomUniform(T("shape",n,t,e),T("minval",n,t,e),T("maxval",n,t,e),T("dtype",n,t,e))];case"Range":{var s=T("start",n,t,e),g=T("stop",n,t,e),y=T("step",n,t,e);return[W.range(s,g,y,T("dtype",n,t,e))]}case"TruncatedNormal":{var r=T("shape",n,t,e),w=T("mean",n,t,e),b=T("stdDev",n,t,e),h=T("seed",n,t,e);return[W.truncatedNormal(r,w,b,T("dtype",n,t,e),h)]}case"Zeros":return[W.zeros(T("shape",n,t,e),T("dtype",n,t,e))];case"ZerosLike":return[W.zerosLike(T("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var vk=void 0;function bd(n,t,e){var r=T("boxes",n,t,e),i=T("scores",n,t,e),a=T("maxOutputSize",n,t,e),s=T("iouThreshold",n,t,e),o=T("scoreThreshold",n,t,e),c=T("softNmsSigma",n,t,e);return{boxes:r,scores:i,maxOutputSize:a,iouThreshold:s,scoreThreshold:o,softNmsSigma:c}}var wk=function(n,t,e){return on(vk,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,a,s,o,c,l,p,h,f,a,s,o,c,l,m,h;return Zt(this,function(g){switch(g.label){case 0:r=n.op;switch(r){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 i=bd(n,t,e),a=i.boxes,s=i.scores,o=i.maxOutputSize,c=i.iouThreshold,l=i.scoreThreshold,u=i.softNmsSigma,[4,W.image.nonMaxSuppressionWithScoreAsync(a,s,o,c,l,u)];case 2:return h=g.sent(),[2,[h.selectedIndices,h.selectedScores]];case 3:return d=bd(n,t,e),a=d.boxes,s=d.scores,o=d.maxOutputSize,c=d.iouThreshold,l=d.scoreThreshold,p=T("padToMaxOutputSize",n,t,e),[4,W.image.nonMaxSuppressionPaddedAsync(a,s,o,c,l,p)];case 4:return h=g.sent(),[2,[h.selectedIndices,h.validOutputs]];case 5:return f=bd(n,t,e),a=f.boxes,s=f.scores,o=f.maxOutputSize,c=f.iouThreshold,l=f.scoreThreshold,[4,W.image.nonMaxSuppressionAsync(a,s,o,c,l)];case 6:return[2,[g.sent()]];case 7:return m=W.cast(T("condition",n,t,e),"bool"),[4,W.whereAsync(m)];case 8:return h=[g.sent()],m.dispose(),[2,h];case 9:return[2,W.setdiff1dAsync(T("x",n,t,e),T("y",n,t,e))];case 10:throw TypeError("Node type "+n.op+" is not implemented")}})})};var bk=function(n,t,e){switch(n.op){case"TopKV2":{var r=T("x",n,t,e),i=T("k",n,t,e),a=T("sorted",n,t,e),s=W.topk(r,i,a);return[s.values,s.indices]}case"Unique":{var r=T("x",n,t,e),s=W.unique(r);return[s.values,s.indices]}case"UniqueV2":{var r=T("x",n,t,e),o=T("axis",n,t,e),s=W.unique(r,o);return[s.values,s.indices]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var xk=function(n,t,e){switch(n.op){case"Const":return t[n.name];case"PlaceholderWithDefault":var r=T("default",n,t,e);return[Gt(n.name,t,e)||r];case"Placeholder":return[Gt(n.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var i=T("x",n,t,e);return[tr(i)]}case"IdentityN":return T("x",n,t,e).map(function(h){return tr(h)});case"Snapshot":var a=T("x",n,t,e);return[tr(a)];case"Shape":return[W.tensor1d(T("x",n,t,e).shape,"int32")];case"ShapeN":return T("x",n,t,e).map(function(h){return W.tensor1d(h.shape)});case"Size":return[W.scalar(T("x",n,t,e).size,"int32")];case"Rank":return[W.scalar(T("x",n,t,e).rank,"int32")];case"NoOp":return[W.scalar(1)];case"Print":var s=T("x",n,t,e),o=T("data",n,t,e),c=T("message",n,t,e),l=T("summarize",n,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[u].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type "+n.op+" is not implemented")}},Lk=function(){function n(t,e){this.keyDType=t,this.valueDType=e,this.handle=W.scalar(0),this.tensorMap=new Map,W.keep(this.handle)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.handle.id},enumerable:!0,configurable:!0}),n.prototype.clearAndClose=function(){this.tensorMap.forEach(function(t){return t.dispose()}),this.tensorMap.clear(),this.handle.dispose()},n.prototype.size=function(){return this.tensorMap.size},n.prototype.import=function(t,e){return on(this,void 0,void 0,function(){var r,i=this;return Zt(this,function(a){switch(a.label){case 0:return this.checkKeyAndValueTensor(t,e),[4,t.data()];case 1:return r=a.sent(),this.tensorMap.forEach(function(s){return s.dispose()}),this.tensorMap.clear(),[2,W.tidy(function(){var s=W.unstack(e),o=r.length,c=s.length;W.util.assert(o===c,function(){return"The number of elements doesn't match, keys has "+(o+" elements, the values has "+c+" ")+"elements."});for(var l=0;l<o;l++){var u=r[l],h=s[l];W.keep(h),i.tensorMap.set(u,h)}return i.handle})]}})})},n.prototype.find=function(t,e){return on(this,void 0,void 0,function(){var r,i=this;return Zt(this,function(a){switch(a.label){case 0:return this.checkKeyAndValueTensor(t,e),[4,t.data()];case 1:return r=a.sent(),[2,W.tidy(function(){for(var s=[],o=0;o<r.length;o++){var c=r[o],l=i.findWithDefault(c,e);s.push(l)}return W.stack(s)})]}})})},n.prototype.findWithDefault=function(t,e){var r=this.tensorMap.get(t);return r??e},n.prototype.checkKeyAndValueTensor=function(t,e){if(t.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+(""+t.dtype));if(e.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+(""+e.dtype))},n}();var Sk=void 0,Ik=function(n,t,e,r){return on(Sk,void 0,void 0,function(){var i,a,s,o,c,l,u,o,c,l,h,o;return Zt(this,function(d){switch(d.label){case 0:i=n.op;switch(i){case"HashTable":return[3,1];case"HashTableV2":return[3,1];case"LookupTableImport":return[3,2];case"LookupTableImportV2":return[3,2];case"LookupTableFind":return[3,4];case"LookupTableFindV2":return[3,4]}return[3,6];case 1:return a=T("keyDType",n,t,e),s=T("valueDType",n,t,e),o=new Lk(a,s),r.addHashTable(n.name,o),[2,[o.handle]];case 2:return c=T("tableHandle",n,t,e,r),l=T("keys",n,t,e),u=T("values",n,t,e),o=r.getHashTableById(c.id),[4,o.import(l,u)];case 3:return[2,[d.sent()]];case 4:return c=T("tableHandle",n,t,e,r),l=T("keys",n,t,e),h=T("defaultValue",n,t,e),o=r.getHashTableById(c.id),[4,o.find(l,h)];case 5:return[2,[d.sent()]];case 6:throw TypeError("Node type "+n.op+" is not implemented")}})})};var Ak=function(n,t,e){switch(n.op){case"ResizeBilinear":{var r=T("images",n,t,e),i=T("size",n,t,e),a=T("alignCorners",n,t,e);return[W.image.resizeBilinear(r,[i[0],i[1]],a)]}case"ResizeNearestNeighbor":{var r=T("images",n,t,e),i=T("size",n,t,e),a=T("alignCorners",n,t,e);return[W.image.resizeNearestNeighbor(r,[i[0],i[1]],a)]}case"CropAndResize":{var s=T("image",n,t,e),o=T("boxes",n,t,e),c=T("boxInd",n,t,e),l=T("cropSize",n,t,e),u=T("method",n,t,e),h=T("extrapolationValue",n,t,e);return[W.image.cropAndResize(s,o,c,l,u,h)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Tk=function(n,t,e){switch(n.op){case"Equal":return[W.equal(T("a",n,t,e),T("b",n,t,e))];case"NotEqual":return[W.notEqual(T("a",n,t,e),T("b",n,t,e))];case"Greater":return[W.greater(T("a",n,t,e),T("b",n,t,e))];case"GreaterEqual":return[W.greaterEqual(T("a",n,t,e),T("b",n,t,e))];case"Less":return[W.less(T("a",n,t,e),T("b",n,t,e))];case"LessEqual":return[W.lessEqual(T("a",n,t,e),T("b",n,t,e))];case"LogicalAnd":return[W.logicalAnd(T("a",n,t,e),T("b",n,t,e))];case"LogicalNot":return[W.logicalNot(T("a",n,t,e))];case"LogicalOr":return[W.logicalOr(T("a",n,t,e),T("b",n,t,e))];case"Select":case"SelectV2":return[W.where(T("condition",n,t,e),T("a",n,t,e),T("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Nk=function(n,t,e){switch(n.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[W.matMul(T("a",n,t,e),T("b",n,t,e),T("transposeA",n,t,e),T("transposeB",n,t,e))];case"Transpose":return[W.transpose(T("x",n,t,e),T("perm",n,t,e))];case"_FusedMatMul":var r=gt(T("fusedOps",n,t,e),2),i=r[0],a=r[1],s=i==="biasadd",o=a==="prelu",c=T("numArgs",n,t,e);if(s){if(o&&c!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&c!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=gt(T("args",n,t,e),2),u=l[0],h=l[1];return[W.fused.matMul({a:T("a",n,t,e),b:T("b",n,t,e),transposeA:T("transposeA",n,t,e),transposeB:T("transposeB",n,t,e),bias:u,activation:a,preluActivationWeights:h})];default:throw TypeError("Node type "+n.op+" is not implemented")}};var _k=function(n,t,e){switch(n.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[W.batchNorm(T("x",n,t,e),T("mean",n,t,e),T("variance",n,t,e),T("offset",n,t,e),T("scale",n,t,e),T("epsilon",n,t,e))];case"FusedBatchNormV3":return[W.batchNorm(T("x",n,t,e),T("mean",n,t,e),T("variance",n,t,e),T("offset",n,t,e),T("scale",n,t,e),T("epsilon",n,t,e))];case"LRN":return[W.localResponseNormalization(T("x",n,t,e),T("radius",n,t,e),T("bias",n,t,e),T("alpha",n,t,e),T("beta",n,t,e))];case"Softmax":return[W.softmax(T("x",n,t,e))];case"LogSoftmax":return[W.logSoftmax(T("x",n,t,e))];case"SparseToDense":return[W.sparseToDense(T("sparseIndices",n,t,e),T("outputShape",n,t,e),T("sparseValues",n,t,e),T("defaultValue",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Ck=function(n,t,e){switch(n.op){case"Max":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.max(T("x",n,t,e),r,i)]}case"Mean":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.mean(T("x",n,t,e),r,i)]}case"Min":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.min(T("x",n,t,e),r,i)]}case"Sum":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.sum(T("x",n,t,e),r,i)]}case"All":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.all(T("x",n,t,e),r,i)]}case"Any":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.any(T("x",n,t,e),r,i)]}case"ArgMax":{var r=T("axis",n,t,e);return[W.argMax(T("x",n,t,e),r)]}case"ArgMin":{var r=T("axis",n,t,e);return[W.argMin(T("x",n,t,e),r)]}case"Prod":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.prod(T("x",n,t,e),r,i)]}case"Cumsum":{var r=T("axis",n,t,e),a=T("exclusive",n,t,e),s=T("reverse",n,t,e);return[W.cumsum(T("x",n,t,e),r,a,s)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Rk=function(n,t,e){switch(n.op){case"ConcatV2":case"Concat":{var r=T("n",n,t,e),i=T("axis",n,t,e),a=T("tensors",n,t,e);return a=a.slice(0,r),[W.concat(a,i)]}case"GatherV2":case"Gather":{var i=T("axis",n,t,e),s=T("x",n,t,e),o=T("indices",n,t,e);return[W.gather(s,W.cast(o,"int32"),i)]}case"ReverseV2":case"Reverse":{var i=T("axis",n,t,e),s=T("x",n,t,e);return[W.reverse(s,i)]}case"Slice":{var c=T("begin",n,t,e),l=T("size",n,t,e);return[W.slice(T("x",n,t,e),c,l)]}case"StridedSlice":{var c=T("begin",n,t,e),u=T("end",n,t,e),h=T("strides",n,t,e),d=T("beginMask",n,t,e),p=T("endMask",n,t,e),f=T("ellipsisMask",n,t,e),m=T("newAxisMask",n,t,e),g=T("shrinkAxisMask",n,t,e),y=T("x",n,t,e);return[W.stridedSlice(y,c,u,h,d,p,f,m,g)]}case"Pack":return W.tidy(function(){var O=T("axis",n,t,e),D=T("tensors",n,t,e),F=D[0].shape,k=W.squeeze(D[0]).shape,B=D.map(function(V){var P=W.util.arraysEqual(V.shape,F);if(!P&&!W.util.arraysEqual(W.squeeze(V).shape,k))throw new Error("the input tensors shape does not match");return P?V:W.reshape(V,F)});return[W.stack(B,O)]});case"Unpack":{var i=T("axis",n,t,e),y=T("tensor",n,t,e);return W.unstack(y,i)}case"Tile":{var w=T("reps",n,t,e);return[W.tile(T("x",n,t,e),w)]}case"Split":case"SplitV":{var i=T("axis",n,t,e),b=T("numOrSizeSplits",n,t,e),y=T("x",n,t,e);return W.split(y,b,i)}case"ScatterNd":{var o=T("indices",n,t,e),x=T("values",n,t,e),L=T("shape",n,t,e);return[W.scatterND(o,x,L)]}case"GatherNd":{var N=T("x",n,t,e),o=T("indices",n,t,e);return[W.gatherND(N,o)]}case"SparseToDense":{var o=T("sparseIndices",n,t,e),L=T("outputShape",n,t,e),I=T("sparseValues",n,t,e),C=T("defaultValue",n,t,e);return[W.sparseToDense(o,I,L,I.dtype===C.dtype?C:W.cast(C,I.dtype))]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Ok=function(n,t,e){switch(n.op){case"FFT":return[W.fft(T("x",n,t,e))];case"IFFT":return[W.ifft(T("x",n,t,e))];case"RFFT":return[W.rfft(T("x",n,t,e))];case"IRFFT":return[W.irfft(T("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Ek=function(n,t,e){switch(n.op){case"Cast":return[W.cast(T("x",n,t,e),T("dtype",n,t,e))];case"ExpandDims":{var r=T("axis",n,t,e);return[W.expandDims(T("x",n,t,e),r)]}case"Squeeze":{var r=T("axis",n,t,e);return[W.squeeze(T("x",n,t,e),r)]}case"Reshape":return[W.reshape(T("x",n,t,e),T("shape",n,t,e))];case"MirrorPad":return[W.mirrorPad(T("x",n,t,e),T("padding",n,t,e),T("mode",n,t,e))];case"PadV2":case"Pad":return[W.pad(T("x",n,t,e),T("padding",n,t,e),T("constantValue",n,t,e))];case"SpaceToBatchND":{var i=T("blockShape",n,t,e),a=T("paddings",n,t,e);return[W.spaceToBatchND(T("x",n,t,e),i,a)]}case"BatchToSpaceND":{var i=T("blockShape",n,t,e),s=T("crops",n,t,e);return[W.batchToSpaceND(T("x",n,t,e),i,s)]}case"DepthToSpace":{var o=T("blockSize",n,t,e),c=T("dataFormat",n,t,e).toUpperCase();return[W.depthToSpace(T("x",n,t,e),o,c)]}case"BroadcastTo":return[W.broadcastTo(T("x",n,t,e),T("shape",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function v1(n,t,e,r){var i=function(a,s,o){switch(a.category){case"arithmetic":return W.tidy(function(){return sk(a,s,o)});case"basic_math":return W.tidy(function(){return ok(a,s,o)});case"control":return mk(a,s,o);case"convolution":return W.tidy(function(){return gk(a,s,o)});case"creation":return W.tidy(function(){return yk(a,s,o)});case"dynamic":return wk(a,s,o);case"evaluation":return W.tidy(function(){return bk(a,s,o)});case"image":return W.tidy(function(){return Ak(a,s,o)});case"graph":return W.tidy(function(){return xk(a,s,o)});case"logical":return W.tidy(function(){return Tk(a,s,o)});case"matrices":return W.tidy(function(){return Nk(a,s,o)});case"normalization":return W.tidy(function(){return _k(a,s,o)});case"reduction":return W.tidy(function(){return Ck(a,s,o)});case"slice_join":return W.tidy(function(){return Rk(a,s,o)});case"spectral":return W.tidy(function(){return Ok(a,s,o)});case"transformation":return W.tidy(function(){return Ek(a,s,o)});case"hash_table":return Ik(a,s,o,r);case"custom":var c=d1(a.op);if(c&&c.customExecutor)return c.customExecutor(new ak(a,s,o));throw TypeError("Custom op "+a.op+" is not registered.");default:throw TypeError("Unknown op '"+a.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 W.util.isPromise(i)?i.then(function(a){return[].concat(a)}):[].concat(i)}var w1=function(){function n(t,e,r,i){t===void 0&&(t={}),e===void 0&&(e={}),r===void 0&&(r={}),i===void 0&&(i={}),this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=r,this.functionMap=i,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 r=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(r))}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 x1(n,t,e,r){var i=new Set,a=[],s=null,o=null,c=new Set,l=Object.keys(n).map(function(p){return Qt(p)[0]}),u=[];r!=null&&(u=r.map(function(p){return Qt(p.name)[0]}));for(var h=Rr(t);h.length>0;){var d=h.pop();if((b1(d)||Dk(d)||kk(d))&&(s==null&&(s=d,o=s.children.map(function(p){return p.name}).filter(function(p){return i.has(p)}))),i.add(d.name),e[d.name]!=null)continue;if(l.indexOf(d.name)!==-1)continue;if(u.indexOf(d.name)!==-1)continue;if(d.inputs.length===0){a.push(d.name);continue}d.inputs.forEach(function(p){if(c.has(p.name))return;c.add(p.name),h.push(p)})}return{inputs:n,outputs:t,usedNodes:i,missingInputs:a,dynamicNode:s,syncInputs:o}}function Fk(n,t,e){var r=e.usedNodes,i=e.inputs,a=[],s=Object.keys(i).map(function(h){return Qt(h)[0]}).map(function(h){return n.nodes[h]}),o=n.initNodes;s.forEach(function(h){r.has(h.name)&&a.push(h)}),n.weights.forEach(function(h){r.has(h.name)&&a.push(h)}),o!=null&&o.forEach(function(h){r.has(h.name)&&a.push(h)});for(var c=new Set,l=[];a.length>0;){var u=a.pop();c.add(u.name),t[u.name]||l.push(u),u.children.forEach(function(h){!c.has(h.name)&&r.has(h.name)&&h.inputs.every(function(d){return c.has(d.name)})&&a.push(h)})}return l}var Wk=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Uk=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Bk=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function b1(n){return Wk.indexOf(n.op)>=0}function Dk(n){return Uk.indexOf(n.op)>=0}function kk(n){return Bk.indexOf(n.op)>=0}var L1=function(){function n(t,e){var r=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(i){r._functionExecutorMap[i]=new n(t.functions[i],r)})}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(r){return t[r].map(function(i){return i.id})});this._weightIds=[].concat.apply([],Rr(e)),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"resourceManager",{set:function(t){this._resourceManager=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,r){return e[r]=t._functions[r].signature,e},{})},enumerable:!0,configurable:!0}),n.prototype.getCompilationKey=function(t,e){var r=t.map(function(a){return a.name}).sort(),i=e.map(function(a){return a.name}).sort();return r.join(this.SEPERATOR)+"--"+i.join(this.SEPERATOR)},n.prototype.compile=function(t,e){var r=x1(t,e,this.weightMap,this._initNodes),i=r.missingInputs,a=r.dynamicNode,s=r.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(i.length>0){var o=e.map(function(l){return l.name}),c=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs "+("["+c+"]. Missing the following inputs: ["+i+"]"))}return Fk(this.graph,this.weightMap,r)},n.prototype.execute=function(t,e){var r=this;t=this.mapInputs(t);var i=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var a=i.map(function(d){return r.graph.nodes[Qt(d)[0]]}),s=e.map(function(d){return Qt(d)[0]}),o=s.map(function(d){return r.graph.nodes[d]});o.length===0&&(o=this._outputs);var c=this.getCompilationKey(a,o),l=this.compiledMap.get(c);l==null&&(l=this.compile(t,o),this.compiledMap.set(c,l));var u={},h={};return W.tidy(function(){var d=new w1(r.weightMap,u,h,r.functionExecutorMap),p=u1({},r.weightMap);Object.keys(t).forEach(function(b){var x=gt(Qt(b),2),L=x[0],N=x[1],I=[];I[N]=t[b],p[L]=I});for(var f=r.getFrozenTensorIds(p),m={},g=0;g<l.length;g++){var y=l[g];if(!p[y.name]){var w=v1(y,p,d,r._resourceManager);if(W.util.isPromise(w))throw new Error("The execution of the op '"+y.op+"' returned a promise. 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"+L));return[2,m]}})})},n.prototype.processStack=function(t,e,r,i,a,s,o,c,l){for(var u=this,h=[],d=function(){var f,m,g=e.pop();r.currentContext=g.contexts;var y="";if(g.node.op==="Enter"&&T("isConstant",g.node,i,r)&&(f=gt(er(g.node.name,r),1),y=f[0]),i[g.node.name]==null){var w=v1(g.node,i,r,p._resourceManager);y||(m=gt(er(g.node.name,r),1),y=m[0]);var b=r.currentContext;W.util.isPromise(w)?h.push(w.then(function(x){return i[y]=x,r.currentContext=b,u.checkTensorForDisposal(y,g.node,i,r,s,o,c),u.processChildNodes(g.node,e,r,i,a,l),x})):(i[y]=w,p.checkTensorForDisposal(y,g.node,i,r,s,o,c),p.processChildNodes(g.node,e,r,i,a,l))}else p.processChildNodes(g.node,e,r,i,a,l)},p=this;e.length>0;)d();return h},n.prototype.processChildNodes=function(t,e,r,i,a,s){t.children.forEach(function(o){var c=gt(er(o.name,r),1),l=c[0];if(a[l]||!s.has(o.name))return;o.op==="Merge"?o.inputNames.some(function(u){return!!Gt(u,i,r)})&&(a[l]=!0,e.push({contexts:r.currentContext,node:o})):o.inputNames.every(function(u){return!!Gt(u,i,r)})&&(a[l]=!0,e.push({contexts:r.currentContext,node:o}))})},n.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(r){return r.dispose()})})},n.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(r){var i=t[r],a=gt(Qt(r),1),s=a[0],o=e.graph.nodes[s];if(o.attrParams.shape&&o.attrParams.shape.value){var c=o.attrParams.shape.value,l=c.length===i.shape.length&&i.shape.every(function(u,h){return c[h]===-1||c[h]===u});W.util.assert(l,function(){return"The shape of dict['"+o.name+"'] provided in "+("model.execute(dict) must be ["+c+"], but was 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e=W.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(W.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error("Found more than one ("+e.length+") load handlers for "+("URL '"+[t]+"'"));this.handler=e[0]}},n.prototype.load=function(){return on(this,void 0,void 0,function(){var t;return Zt(this,function(e){switch(e.label){case 0:if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return t=e.sent(),[2,this.loadSync(t)]}})})},n.prototype.loadSync=function(t){this.artifacts=t;var e=this.artifacts.modelTopology,r={};this.artifacts.userDefinedMetadata!=null&&(r=this.artifacts.userDefinedMetadata.signature),this.version=e.versions.producer+"."+e.versions.minConsumer;var i=W.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new 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1:if(e=l.sent(),e.done)return[2,{value:null,done:!0}];for(r=Ce.tensor_util.getTensorsInContainer(e.value),i=this.transform(e.value),a=Ce.tensor_util.getTensorsInContainer(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,{value:i,done:!1}]}})})},t}(Rt),m6=function(n){Ye(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.handler=r,i.count=0,i.lastRead=Promise.resolve({value:null,done:!1}),i}return t.prototype.summary=function(){return this.upstream.summary()+" -> handleErrors"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){var e;return le(this,function(r){switch(r.label){case 0:r.label=1;case 1:return r.trys.push([1,3,,4]),[4,this.upstream.next()];case 2:return[2,r.sent()];case 3:return e=r.sent(),this.handler(e)?[3,4]:[2,{value:null,done:!0}];case 4:return[3,0];case 5:return[2]}})})},t}(Rt),D1=function(n){Ye(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.transform=r,i}return t.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s,o,c;return le(this,function(l){switch(l.label){case 0:return[4,this.upstream.next()];case 1:return e=l.sent(),e.done?[2,{value:null,done:!0}]:(r=Ce.tensor_util.getTensorsInContainer(e.value),[4,this.transform(e.value)]);case 2:for(i=l.sent(),a=Ce.tensor_util.getTensorsInContainer(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,{value:i,done:!1}]}})})},t}(Rt),Sd=function(n){Ye(t,n);function t(){var e=n.call(this)||this;return e.outputQueue=new r6,e.lastRead=Promise.resolve({value:null,done:!1}),e}return t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){switch(e.label){case 0:return this.outputQueue.length()===0?[4,this.pump()]:[3,2];case 1:return e.sent()?[3,0]:[2,{value:null,done:!0}];case 2:return[2,{value:this.outputQueue.shift(),done:!1}]}})})},t}(Rt),g6=function(n){Ye(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.transform=r,i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},t.prototype.pump=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s,o,c;return le(this,function(l){switch(l.label){case 0:return[4,this.upstream.next()];case 1:if(e=l.sent(),e.done)return[2,!1];for(r=Ce.tensor_util.getTensorsInContainer(e.value),i=this.transform(e.value),a=Ce.tensor_util.getTensorsInContainer(i),this.outputQueue.pushAll(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,!0]}})})},t}(Sd),E1=function(n){Ye(t,n);function t(e,r){var i=n.call(this)||this;return i.baseErrorHandler=r,i.lastRead=null,i.iterator=null,i.moreIterators=e,i}return t.prototype.summary=function(){var e="TODO: fill in upstream of chained summaries";return e+" -> Chained"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]})})},t.prototype.readFromChain=function(e){return ce(this,void 0,void 0,function(){var r,i;return le(this,function(a){switch(a.label){case 0:return[4,e];case 1:return a.sent(),this.iterator==null?[4,this.moreIterators.next()]:[3,3];case 2:if(r=a.sent(),r.done)return[2,{value:null,done:!0}];this.iterator=r.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),a.label=3;case 3:return[4,this.iterator.next()];case 4:return i=a.sent(),i.done?(this.iterator=null,[2,this.readFromChain(e)]):[2,i]}})})},t}(Rt),Or;(function(n){n[n.FAIL=0]="FAIL",n[n.SHORTEST=1]="SHORTEST",n[n.LONGEST=2]="LONGEST"})(Or||(Or={}));var o6=function(n){Ye(t,n);function t(e,r){r===void 0&&(r=Or.FAIL);var i=n.call(this)||this;return i.iterators=e,i.mismatchMode=r,i.count=0,i.currentPromise=null,i}return t.prototype.summary=function(){var e="TODO: fill in upstream of zip summaries";return"{"+e+"} -> Zip"},t.prototype.nextState=function(e){return ce(this,void 0,void 0,function(){function r(o){if(o instanceof Rt){var c=o.next();return{value:c.then(function(l){return i++,l.done&&a++,l.value}),recurse:!1}}else return{value:null,recurse:!0}}var i,a,s;return le(this,function(o){switch(o.label){case 0:return[4,e];case 1:return o.sent(),i=0,a=0,[4,C1(this.iterators,r)];case 2:if(s=o.sent(),i===a)return[2,{value:null,done:!0}];if(a>0)switch(this.mismatchMode){case Or.FAIL:throw new Error("Zipped streams should have the same length. "+("Mismatched at element "+this.count+"."));case Or.SHORTEST:return[2,{value:null,done:!0}];case Or.LONGEST:}return this.count++,[2,{value:s,done:!1}]}})})},t.prototype.next=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]})})},t}(Rt),k1=function(n){Ye(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.bufferSize=r,i.buffer=new R1(r),i}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}(Rt),y6=function(n){Ye(t,n);function t(e,r,i){var a=n.call(this,e,r)||this;return a.upstream=e,a.windowSize=r,a.upstreamExhausted=!1,a.random=T1(i||Ce.util.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){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 ce(this,void 0,void 0,function(){var e,r;return le(this,function(i){switch(i.label){case 0:this.upstreamExhausted||this.refill(),i.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(e=this.chooseIndex(),[4,this.buffer.shuffleExcise(e)]);case 2:if(r=i.sent(),r.done)this.upstreamExhausted=!0;else return this.refill(),[2,r];return[3,1];case 3:return[2,{value:null,done:!0}]}})})},t}(k1);var Ja=function(){function n(){this.size=null}return n.prototype.batch=function(t,e){var r=this;e===void 0&&(e=!0);var i=this;Ce.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=T1(e||Ce.util.now().toString());return en(function(){return ce(i,void 0,void 0,function(){var o;return le(this,function(c){switch(c.label){case 0:return o=s.int32(),r&&(o+=s.int32()),[4,a.iterator()];case 1:return[2,c.sent().shuffle(t,o.toString())]}})})},this.size)},n.prototype.take=function(t){var e=this,r=this,i;return this.size!=null&&this.size>t?i=t:this.size!=null&&this.size<=t?i=this.size:i=null,en(function(){return ce(e,void 0,void 0,function(){return le(this,function(a){switch(a.label){case 0:return[4,r.iterator()];case 1:return[2,a.sent().take(t)]}})})},i)},n.prototype.toArray=function(){return ce(this,void 0,void 0,function(){return le(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 ce(this,void 0,void 0,function(){return le(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 en(n,t){return t===void 0&&(t=null),new(function(e){Ye(r,e);function r(){var i=e!==null&&e.apply(this,arguments)||this;return i.size=t,i}return r.prototype.iterator=function(){return ce(this,void 0,void 0,function(){return le(this,function(i){return[2,n()]})})},r}(Ja))}function w6(n){var t=this;return en(function(){return ce(t,void 0,void 0,function(){return le(this,function(e){return[2,O1(n)]})})},n.length)}function b6(n){var t=this;if(!Ji(n))throw new Error("The argument to zip() must be an object or array.");var e;if(Array.isArray(n))for(var r=0;r<n.length;r++)e=e==null?n[r].size:Math.min(e,n[r].size);else if(n instanceof Object)for(var i in n)e=e==null?n[i].size:Math.min(e,n[i].size);return en(function(){return ce(t,void 0,void 0,function(){var a;return le(this,function(s){switch(s.label){case 0:return[4,C1(n,function(o){if(o instanceof Ja)return{value:o.iterator(),recurse:!1};if(Ji(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,c6(a,Or.SHORTEST)]}})})},e)}function v6(n){if(n===null)return null;var t=n[0];if(e6(t)){var e=x6(n);return{value:e,recurse:!1}}return{value:null,recurse:!0}}function x6(n){if(n.length===0)throw new Error("Can't make a batch of zero elements.");return n[0]instanceof Ce.Tensor?Ce.stack(n):Ce.tensor(n)}var F1=function(n){Ye(t,n);function t(e){var r=n.call(this)||this;return r.input=e,r}return t.prototype.iterator=function(){return ce(this,void 0,void 0,function(){var e,r,i;return le(this,function(a){switch(a.label){case 0:return[4,this.input.iterator()];case 1:return e=a.sent(),r=e.decodeUTF8(),i=r.split(`
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c=S.scalar(o,"int32"),l=S.equal(c,r).asType("float32"),u=l.mul(e).sum(0);a.push(u)}return S.stack(a)},t.prototype.argMin=function(e,r){ae(e,"argMin");var i=[r];S.backend_util.assertAxesAreInnerMostDims("argMin",i,e.rank);for(var a=S.backend_util.computeOutAndReduceShapes(e.shape,i),s=a[0],o=a[1],c=S.zeros(s,"int32"),l=S.util.sizeFromShape(o),u=this.readSync(c.dataId),h=this.readSync(e.dataId),d=0;d<u.length;++d){for(var p=d*l,f=h[p],m=0,g=0;g<l;++g){var y=h[p+g];y<f&&(f=y,m=g)}u[d]=m}return c},t.prototype.argMax=function(e,r){ae(e,"argMax");var i=[r];S.backend_util.assertAxesAreInnerMostDims("argMax",i,e.rank);for(var a=S.backend_util.computeOutAndReduceShapes(e.shape,i),s=a[0],o=a[1],c=S.zeros(s,"int32"),l=S.util.sizeFromShape(o),u=this.readSync(c.dataId),h=this.readSync(e.dataId),d=0;d<u.length;++d){for(var p=d*l,f=h[p],m=0,g=0;g<l;++g){var y=h[p+g];y>f&&(f=y,m=g)}u[d]=m}return c},t.prototype.cumsum=function(e,r,i,a){if(ae(e,"cumsum"),r!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+r));for(var s=S.upcastType(e.dtype,"int32"),o=S.zeros(e.shape,s),c=this.readSync(o.dataId),l=this.readSync(e.dataId),u=e.shape[e.rank-1],h=a?function(g,y){return g+u-y-1}:function(g,y){return g+y},d=0;d<l.length;d+=u)for(var p=0;p<u;p++){var f=h(d,p);if(p===0)c[f]=i?0:l[f];else{var m=h(d,p-1);c[f]=i?l[m]+c[m]:l[f]+c[m]}}return o},t.prototype.equal=function(e,r){return ae([e,r],"equal"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i===a?1:0})},t.prototype.notEqual=function(e,r){return ae([e,r],"notEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i!==a?1:0})},t.prototype.less=function(e,r){return ae([e,r],"less"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i<a?1:0})},t.prototype.lessEqual=function(e,r){return ae([e,r],"lessEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i<=a?1:0})},t.prototype.greater=function(e,r){return ae([e,r],"greater"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i>a?1:0})},t.prototype.greaterEqual=function(e,r){return ae([e,r],"greaterEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i>=a?1:0})},t.prototype.logicalAnd=function(e,r){return ae([e,r],"logicalAnd"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i&&a})},t.prototype.logicalOr=function(e,r){return ae([e,r],"logicalOr"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i||a})},t.prototype.select=function(e,r,i){ae([e,r,i],"select");for(var a=this.readSync(e.dataId),s=this.readSync(r.dataId),o=this.readSync(i.dataId),c=S.zeros(r.shape,S.upcastType(r.dtype,i.dtype)),l=this.readSync(c.dataId),u=0,h=e.rank===0||e.rank>1||r.rank===1?1:S.util.sizeFromShape(r.shape.slice(1)),d=0;d<a.length;d++)for(var p=0;p<h;p++)a[d]===1?l[u++]=s[d]:l[u++]=o[d];return c},t.prototype.where=function(e){ae([e],"where");var r=this.readSync(e.dataId);return $6(e.shape,r)},t.prototype.topk=function(e,r,i){ae(e,"topk");var a=this.readSync(e.dataId);return j6(a,e.shape,e.dtype,r,i)},t.prototype.min=function(e,r){ae(e,"min"),S.backend_util.assertAxesAreInnerMostDims("min",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];m<p&&(p=m)}l[h]=p}return o},t.prototype.minimum=function(e,r){return ae([e,r],"minimum"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.min(i,a)})},t.prototype.mod=function(e,r){return ae([e,r],"mod"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){var s=i%a;return i<0&&a<0||i>=0&&a>=0?s:(s+a)%a})},t.prototype.maximum=function(e,r){return ae([e,r],"maximum"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.max(i,a)})},t.prototype.all=function(e,r){ae(e,"all"),S.backend_util.assertAxesAreInnerMostDims("all",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];p=p&&m}l[h]=p}return o},t.prototype.any=function(e,r){ae(e,"any"),S.backend_util.assertAxesAreInnerMostDims("any",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];p=p||m}l[h]=p}return o},t.prototype.squaredDifference=function(e,r){return ae([e,r],"squaredDifference"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){var s=i-a;return s*s})},t.prototype.eluDer=function(e,r){ae([e,r],"eluDer");for(var i=new Float32Array(r.size),a=this.readSync(r.dataId),s=this.readSync(e.dataId),o=0;o<a.length;++o){var c=a[o];c>=1?i[o]=s[o]:i[o]=s[o]*(c+1)}return this.makeOutput(i,r.shape,"float32")},t.prototype.atan2=function(e,r){return ae([e,r],"atan2"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.atan2(i,a)})},t.prototype.tile=function(e,r){return ae(e,"tile"),K6(this.bufferSync(e),r)},t.prototype.gather=function(e,r,i){ae([e,r],"gather");var a=e.shape.slice(),s=this.readSync(r.dataId);a[i]=s.length;for(var o=S.buffer(a,e.dtype),c=this.bufferSync(e),l=0;l<o.size;++l){var u=o.indexToLoc(l),h=u.slice();h[i]=s[u[i]];var d=c.locToIndex(h);o.values[l]=c.values[d]}return o.toTensor()},t.prototype.batchToSpaceND=function(e,r,i){ae([e],"batchToSpaceND");var a=r.reduce(function(h,d){return h*d}),s=S.backend_util.getReshaped(e.shape,r,a),o=S.backend_util.getPermuted(s.length,r.length),c=S.backend_util.getReshapedPermuted(e.shape,r,a),l=S.backend_util.getSliceBeginCoords(i,r.length),u=S.backend_util.getSliceSize(c,i,r.length);return S.transpose(e.reshape(s),o).reshape(c).slice(l,u)},t.prototype.pool3d=function(e,r,i){ae(e,"pool3d");for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,c=r.dilationDepth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,f=r.padInfo.front,m=r.padInfo.top,g=r.padInfo.left,y=i==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=this.readSync(e.dataId),b=S.buffer(r.outShape,e.dtype),x=b.values,L=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],N=r.outShape[2]*r.outShape[3]*r.outShape[4],I=r.outShape[3]*r.outShape[4],C=r.outShape[4],O=0;O<r.batchSize;++O)for(var D=O*L,F=O*e.strides[0],k=0;k<r.inChannels;++k)for(var B=0;B<r.outDepth;++B){for(var V=B*a-f,P=V;P<0;)P+=c;for(var G=Math.min(r.inDepth,h+V),j=D+B*N,q=0;q<r.outHeight;++q){for(var H=q*s-m,J=H;J<0;)J+=l;for(var $=Math.min(r.inHeight,d+H),ee=j+q*I,te=0;te<r.outWidth;++te){for(var ne=te*o-g,re=ne;re<0;)re+=u;for(var ie=Math.min(r.inWidth,p+ne),oe=ee+te*C,se=y,me=0,ye=0,ve=P;ve<G;ve+=c){for(var Ee=F+ve*e.strides[1],Be=J;Be<$;Be+=l){for(var We=Ee+Be*e.strides[2],Ke=re;Ke<ie;Ke+=u){var ze=We+Ke*e.strides[3],Ie=w[ze+k];if(i==="max"&&Ie>se?se=Ie:i==="avg"&&(me+=Ie,ye++),isNaN(se))break}if(isNaN(se))break}if(isNaN(se))break}var ue=oe+k;x[ue]=i==="avg"?me/ye:se}}}return b.toTensor()},t.prototype.avgPool3d=function(e,r){return ae(e,"avgPool3d"),this.pool3d(e,r,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,r,i){ae([e,r],"avgPool3dBackprop");for(var a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,c=i.filterDepth,l=i.filterHeight,u=i.filterWidth,h=i.dilationDepth,d=i.dilationHeight,p=i.dilationWidth,f=i.effectiveFilterDepth,m=i.effectiveFilterHeight,g=i.effectiveFilterWidth,y=f-1-i.padInfo.front,w=g-1-i.padInfo.left,b=m-1-i.padInfo.top,x=S.buffer(r.shape,"float32"),L=1/(c*l*u),N=this.bufferSync(e),I=0;I<i.batchSize;++I)for(var C=0;C<i.inChannels;++C)for(var O=0;O<i.inDepth;++O)for(var D=0;D<i.inHeight;++D)for(var F=0;F<i.inWidth;++F){for(var k=O-y,B=D-b,V=F-w,P=0,G=0;G<f;G+=h){var j=(k+G)/a;if(j<0||j>=i.outDepth||Math.floor(j)!==j)continue;for(var q=0;q<m;q+=d){var H=(B+q)/s;if(H<0||H>=i.outHeight||Math.floor(H)!==H)continue;for(var J=0;J<g;J+=p){var $=(V+J)/o;if($<0||$>=i.outWidth||Math.floor($)!==$)continue;var ee=N.get(I,j,H,$,C);P+=ee}}}x.set(P*L,I,O,D,F,C)}return x.toTensor()},t.prototype.maxPool3d=function(e,r){return ae(e,"maxPool3d"),this.pool3d(e,r,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,r){for(var i=S.buffer(r.outShape,"int32"),a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,c=r.dilationDepth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,f=r.padInfo.front,m=r.padInfo.top,g=r.padInfo.left,y=this.bufferSync(e),w=0;w<r.batchSize;++w)for(var b=0;b<r.inChannels;++b)for(var x=0;x<r.outDepth;++x){for(var L=x*a-f,N=L;N<0;)N+=c;for(var I=Math.min(r.inDepth,h+L),C=0;C<r.outHeight;++C){for(var O=C*s-m,D=O;D<0;)D+=l;for(var F=Math.min(r.inHeight,d+O),k=0;k<r.outWidth;++k){for(var B=k*o-g,V=B;V<0;)V+=u;for(var P=Math.min(r.inWidth,p+B),G=Number.NEGATIVE_INFINITY,j=-1,q=N;q<I;q+=c)for(var H=q-L,J=D;J<F;J+=l)for(var $=J-O,ee=V;ee<P;ee+=u){var te=ee-B,ne=y.get(w,q,J,ee,b);ne>=G&&(G=ne,j=H*d*p+$*d+te)}i.set(j,w,x,C,k,b)}}}return i.toTensor()},t.prototype.maxPool3dBackprop=function(e,r,i,a){ae([r,i],"maxPool3dBackprop");for(var s=this.maxPool3dPositions(r,a),o=a.strideDepth,c=a.strideHeight,l=a.strideWidth,u=a.dilationDepth,h=a.dilationHeight,d=a.dilationWidth,p=a.effectiveFilterDepth,f=a.effectiveFilterHeight,m=a.effectiveFilterWidth,g=p-1-a.padInfo.front,y=m-1-a.padInfo.left,w=f-1-a.padInfo.top,b=S.buffer(r.shape,"float32"),x=this.bufferSync(s),L=this.bufferSync(e),N=0;N<a.batchSize;++N)for(var I=0;I<a.inChannels;++I)for(var C=0;C<a.inDepth;++C)for(var O=0;O<a.inHeight;++O)for(var D=0;D<a.inWidth;++D){for(var F=C-g,k=O-w,B=D-y,V=0,P=0;P<p;P+=u){var G=(F+P)/o;if(G<0||G>=a.outDepth||Math.floor(G)!==G)continue;for(var j=0;j<f;j+=h){var q=(k+j)/c;if(q<0||q>=a.outHeight||Math.floor(q)!==q)continue;for(var H=0;H<m;H+=d){var J=(B+H)/l;if(J<0||J>=a.outWidth||Math.floor(J)!==J)continue;var $=p*f*m-1-x.get(N,G,q,J,I),ee=P*f*m+j*m+H,te=$===ee?1:0;if(te===0)continue;var ne=L.get(N,G,q,J,I);V+=ne*te}}}b.set(V,N,C,O,D,I)}return b.toTensor()},t.prototype.resizeBilinear=function(e,r,i,a){ae(e,"resizeBilinear");for(var s=e.shape,o=s[0],c=s[1],l=s[2],u=s[3],h=this.readSync(e.dataId),d=new Float32Array(S.util.sizeFromShape([o,r,i,u])),p=[a&&r>1?c-1:c,a&&i>1?l-1:l],f=[a&&r>1?r-1:r,a&&i>1?i-1:i],m=0,g=p[0]/f[0],y=p[1]/f[1],w=0;w<o;w++)for(var b=0;b<r;b++)for(var x=g*b,L=Math.floor(x),N=x-L,I=Math.min(c-1,Math.ceil(x)),C=w*e.strides[0]+L*e.strides[1],O=w*e.strides[0]+I*e.strides[1],D=0;D<i;D++)for(var F=y*D,k=Math.floor(F),B=F-k,V=Math.min(l-1,Math.ceil(F)),P=C+k*e.strides[2],G=O+k*e.strides[2],j=C+V*e.strides[2],q=O+V*e.strides[2],H=0;H<u;H++){var J=h[P+H],$=h[G+H],ee=h[j+H],te=h[q+H],ne=J+(ee-J)*B,re=$+(te-$)*B,ie=ne+(re-ne)*N;d[m++]=ie}return S.tensor(d,[o,r,i,u])},t.prototype.resizeBilinearBackprop=function(e,r,i){ae([e,r],"resizeBilinearBackprop");for(var a=r.shape,s=a[0],o=a[1],c=a[2],l=a[3],u=e.shape,h=u[1],d=u[2],p=new Float32Array(s*o*c*l),f=[i&&h>1?o-1:o,i&&d>1?c-1:c],m=[i&&h>1?h-1:h,i&&d>1?d-1:d],g=f[0]/m[0],y=f[1]/m[1],w=this.readSync(e.dataId),b=0,x=0;x<s;x++)for(var L=x*r.strides[0],N=0;N<h;N++)for(var I=N*g,C=Math.floor(I),O=Math.min(Math.ceil(I),o-1),D=L+C*r.strides[1],F=L+O*r.strides[1],k=I-C,B=1-k,V=0;V<d;V++)for(var P=V*y,G=Math.floor(P),j=Math.min(Math.ceil(P),c-1),q=P-G,H=1-q,J=D+G*r.strides[2],$=D+j*r.strides[2],ee=F+G*r.strides[2],te=F+j*r.strides[2],ne=B*H,re=B*q,ie=k*H,oe=k*q,se=0;se<l;se++){var me=w[b++];p[J+se]+=me*ne,p[$+se]+=me*re,p[ee+se]+=me*ie,p[te+se]+=me*oe}return S.tensor4d(p,[s,c,o,l],r.dtype)},t.prototype.resizeNearestNeighbor=function(e,r,i,a){ae(e,"resizeNearestNeighbor");for(var s=e.shape,o=s[0],c=s[1],l=s[2],u=s[3],h=this.readSync(e.dataId),d=new Float32Array(o*r*i*u),p=[a&&r>1?c-1:c,a&&i>1?l-1:l],f=[a&&r>1?r-1:r,a&&i>1?i-1:i],m=p[0]/f[0],g=p[1]/f[1],y=0,w=0;w<o;w++)for(var b=w*e.strides[0],x=0;x<r;x++)for(var L=m*x,N=Math.min(c-1,a?Math.round(L):Math.floor(L)),I=b+N*e.strides[1],C=0;C<i;C++)for(var O=g*C,D=Math.min(l-1,a?Math.round(O):Math.floor(O)),F=I+D*e.strides[2],k=0;k<u;k++){var B=h[F+k];d[y++]=B}return S.tensor(d,[o,r,i,u],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,r,i){ae([e,r],"resizeNearestNeighborBackprop");for(var a=r.shape,s=a[0],o=a[1],c=a[2],l=a[3],u=e.shape,h=u[1],d=u[2],p=new Float32Array(s*o*c*l),f=this.readSync(e.dataId),m=[i&&h>1?o-1:o,i&&d>1?c-1:c],g=[i&&h>1?h-1:h,i&&d>1?d-1:d],y=m[0]/g[0],w=m[1]/g[1],b=1/y,x=1/w,L=Math.ceil(b)*2+2,N=Math.ceil(x)*2+2,I=0;I<s;I++)for(var C=I*r.strides[0],O=0;O<o;O++)for(var D=C+O*r.strides[1],F=Math.floor(O*b),k=Math.floor(F-L/2),B=0;B<c;B++)for(var V=D+B*r.strides[2],P=Math.floor(B*x),G=Math.floor(P-N/2),j=0;j<l;j++){for(var q=0,H=0;H<L;H++){var J=H+k;if(J<0||J>=h)continue;var $=C+J*e.strides[1],ee=J*y,te=Math.min(o-1,i?Math.round(ee):Math.floor(ee));if(O!==te)continue;for(var ne=0;ne<N;ne++){var re=ne+G;if(re<0||re>=d)continue;var ie=$+re*e.strides[2],oe=re*w,se=Math.min(c-1,i?Math.round(oe):Math.floor(oe));B===se&&(q+=f[ie+j])}}p[V+j]=q}return S.tensor4d(p,r.shape,r.dtype)},t.prototype.localResponseNormalization4D=function(e,r,i,a,s){ae(e,"localResponseNormalization4D");var o=e.shape[3],c=o-1,l=this.readSync(e.dataId),u=e.size,h=new Float32Array(u);function d(g){for(var y=g%o,w=g-y+Math.max(0,y-r),b=g-y+Math.min(y+r,c),x=0;w<=b;w++){var L=l[w];x+=L*L}return x}for(var p=0;p<u;p++){var f=d(p),m=l[p]*Math.pow(i+a*f,-s);h[p]=m}return S.tensor4d(h,e.shape)},t.prototype.LRNGrad=function(e,r,i,a,s,o,c){ae(e,"LRNGrad");for(var l=e.shape[3],u=this.readSync(e.dataId),h=this.readSync(r.dataId),d=this.readSync(i.dataId),p=new Float32Array(e.size),f=e.size,m=0;m<f;m++){for(var g=m%l,y=m-g+Math.max(0,g-a),w=m-g+Math.min(l,g+a+1),b=0,x=y;x<w;x++)b+=Math.pow(h[x],2);b=o*b+s;for(var x=y;x<w;x++){var L=-2*o*c*h[x]*d[m]/b;m===x&&(L+=Math.pow(b,-c)),L*=u[m],p[x]+=L}}return S.tensor4d(p,e.shape)},t.prototype.multinomial=function(e,r,i,a){ae(e,"multinomial");for(var s=r?e:S.softmax(e),o=s.shape[0],c=s.shape[1],l=S.zeros([o,i],"int32"),u=this.readSync(l.dataId),h=this.readSync(s.dataId),d=0;d<o;++d){var p=d*c,f=new Float32Array(c-1);f[0]=h[p];for(var m=1;m<f.length;++m)f[m]=f[m-1]+h[p+m];for(var g=V6.alea(a.toString()),y=d*i,w=0;w<i;++w){var b=g();u[y+w]=f.length;for(var x=0;x<f.length;x++)if(b<f[x]){u[y+w]=x;break}}}return l},t.prototype.oneHot=function(e,r,i,a){ae(e,"oneHot");var s=new Float32Array(e.size*r);s.fill(a);for(var o=this.readSync(e.dataId),c=0;c<e.size;++c)o[c]>=0&&o[c]<r&&(s[c*r+o[c]]=i);return S.tensor2d(s,[e.size,r],"int32")},t.prototype.nonMaxSuppression=function(e,r,i,a,s){ae(e,"nonMaxSuppression");var o=this.readSync(e.dataId),c=this.readSync(r.dataId);return q6(o,c,i,a,s)},t.prototype.depthToSpace=function(e,r,i){S.util.assert(i==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+i}),S.util.assert(r>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+r});for(var a=e.shape[0],s=e.shape[1],o=e.shape[2],c=e.shape[3],l=s*r,u=o*r,h=c/(r*r),d=this.readSync(e.dataId),p=new Float32Array(a*l*u*h),f=0,m=0;m<a;++m)for(var g=0;g<l;++g)for(var y=Math.floor(g/r),w=g%r,b=0;b<u;++b)for(var x=Math.floor(b/r),L=b%r,N=(w*r+L)*h,I=0;I<h;++I){var C=I+N,O=C+c*(x+o*(y+s*m));p[f++]=d[O]}return S.tensor4d(p,[a,l,u,h])},t.prototype.broadcastedBinaryOp=function(e,r,i,a){var s=S.backend_util.assertAndGetBroadcastShape(e.shape,r.shape),o=S.buffer(s,i),c=this.readSync(e.dataId),l=this.readSync(r.dataId),u=S.backend_util.getBroadcastDims(e.shape,s),h=S.backend_util.getBroadcastDims(r.shape,s),d=o.values;if(u.length+h.length===0)for(var p=0;p<d.length;++p)d[p]=a(c[p%c.length],l[p%l.length]);else for(var f=this.bufferSync(e),m=this.bufferSync(r),g=function(y){var w=o.indexToLoc(y),b=w.slice(-e.rank);u.forEach(function(I){return b[I]=0});var x=f.locToIndex(b),L=w.slice(-r.rank);h.forEach(function(I){return L[I]=0});var N=m.locToIndex(L);d[y]=a(c[x],l[N])},p=0;p<d.length;++p)g(p);return o.toTensor()},t.prototype.split=function(e,r,i){return Y6(e,r,i)},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,r,i,a,s,o){for(var c=e.shape,l=c[0],u=c[1],h=c[2],d=c[3],p=r.shape[0],f=a[0],m=a[1],g=S.buffer([p,f,m,d],"float32"),y=this.readSync(r.dataId),w=this.readSync(i.dataId),b=this.readSync(e.dataId),x=e.strides,L=g.strides,N=0;N<p;N++){var I=N*4,C=y[I],O=y[I+1],D=y[I+2],F=y[I+3],k=w[N];if(k>=l)continue;for(var B=f>1?(D-C)*(u-1)/(f-1):0,V=m>1?(F-O)*(h-1)/(m-1):0,P=0;P<f;P++){var G=f>1?C*(u-1)+P*B:.5*(C+D)*(u-1);if(G<0||G>u-1){for(var j=0;j<m;j++)for(var q=0;q<d;q++){var H=q+j*L[2]+P*L[1]+N*L[0];g.values[H]=o}continue}if(s==="bilinear")for(var J=Math.floor(G),$=Math.ceil(G),ee=G-J,j=0;j<m;j++){var te=m>1?O*(h-1)+j*V:.5*(O+F)*(h-1);if(te<0||te>h-1){for(var q=0;q<d;q++){var H=q+j*L[2]+P*L[1]+N*L[0];g.values[H]=o}continue}for(var ne=Math.floor(te),re=Math.ceil(te),ie=te-ne,q=0;q<d;q++){var H=q+ne*x[2]+J*x[1]+k*x[0],oe=b[H];H=q+re*x[2]+J*x[1]+k*x[0];var se=b[H];H=q+ne*x[2]+$*x[1]+k*x[0];var me=b[H];H=q+re*x[2]+$*x[1]+k*x[0];var ye=b[H],ve=oe+(se-oe)*ie,Ee=me+(ye-me)*ie;H=q+j*L[2]+P*L[1]+N*L[0],g.values[H]=ve+(Ee-ve)*ee}}else for(var j=0;j<m;++j){var te=m>1?O*(h-1)+j*V:.5*(O+F)*(h-1);if(te<0||te>h-1){for(var q=0;q<d;q++){var H=q+j*L[2]+P*L[1]+N*L[0];g.values[H]=o}continue}for(var Be=Math.round(te),We=Math.round(G),q=0;q<d;q++){var Ke=q+Be*x[2]+We*x[1]+k*x[0],ze=q+j*L[2]+P*L[1]+N*L[0];g.values[ze]=b[Ke]}}}}return g.toTensor()},t.prototype.sparseToDense=function(e,r,i,a){var s=S.backend_util.calculateShapes(r,e,i),o=s.sliceRank,c=s.numUpdates,l=s.sliceSize,u=s.strides,h=s.outputSize,d=!1;return this.scatter(e,r,i,h,l,c,o,u,a,d)},t.prototype.gatherND=function(e,r){var i=r.shape,a=i[i.length-1],s=S.backend_util.prepareAndValidate(e,r),o=s[0],c=s[1],l=s[2],u=s[3];if(c===0)return S.tensor([],o,e.dtype);for(var h=new S.TensorBuffer([c,l],e.dtype),d=this.readSync(r.dataId),p=this.readSync(e.dataId),f=0;f<c;f++){for(var m=[],g=0,y=0;y<a;y++){var w=d[f*a+y];g+=w*u[y],m.push(w)}if(g<0||g>=e.size/l)throw new Error("Invalid indices: "+m+" does not index into "+e.shape);for(var b=0;b<l;b++)h.values[f*l+b]=p[g*l+b]}return h.toTensor().reshape(o)},t.prototype.scatterND=function(e,r,i){var a=S.backend_util.calculateShapes(r,e,i),s=a.sliceRank,o=a.numUpdates,c=a.sliceSize,l=a.strides,u=a.outputSize,h=S.scalar(0),d=!0;return this.scatter(e,r,i,u,c,o,s,l,h,d)},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported for string tensors");return S.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var r=S.util.getArrayFromDType(e.dtype,S.util.sizeFromShape(e.shape));return this.makeOutput(r,e.shape,e.dtype)},t.prototype.linspace=function(e,r,i){return S.backend_util.linspaceImpl(e,r,i)},t.prototype.scatter=function(e,r,i,a,s,o,c,l,u,h){var d=[a/s,s],p=this.readSync(e.dataId),f=this.readSync(r.dataId);if(a===0)return S.tensor([],i,r.dtype);var m=new S.TensorBuffer(d,r.dtype);m.values.fill(this.readSync(u.dataId)[0]);for(var g=0;g<o;g++){for(var y=[],w=0,b=0;b<c;b++){var x=p[g*c+b];y.push(x),w+=x*l[b]}if(w<0||w>=a/s)throw new Error("Invalid indices: "+y+" does not index into "+i);for(var L=0;L<s;L++)h?m.values[w*s+L]+=f[g*s+L]:m.values[w*s+L]=r.rank===0?f[0]:f[g*s+L]}return m.toTensor().reshape(i)},t}(S.KernelBackend);function uw(n){for(var t=new Float32Array(n.length),e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}var X6=function(n){var t=n.inputs.x,e=n.backend,r=new Float32Array(S.util.sizeFromShape(t.shape));if(t.dtype!=="complex64"){var i=e.data.get(t.dataId).values;r=uw(i)}else for(var a=e.data.get(t.dataId),s=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,c=e.data.get(s.dataId).values,l=e.data.get(o.dataId).values,u=0;u<c.length;u++){var h=c[u],d=l[u];r[u]=Math.hypot(h,d)}return e.makeOutput(r,t.shape,"float32")},J6={kernelName:S.Abs,backendName:"cpu",kernelFunc:X6};function Er(n){return function(t,e,r,i,a){var s=S.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,c=S.util.computeStrides(s),l=S.util.sizeFromShape(s),u=S.util.getTypedArrayFromDType(a,l),h=t.length,d=e.length,p=S.util.computeStrides(t),f=S.util.computeStrides(e),m=S.backend_util.getBroadcastDims(t,s),g=S.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(var y=0;y<u.length;++y)u[y]=n(r[y%r.length],i[y%i.length]);else for(var w=function(b){var x=S.util.indexToLoc(b,o,c),L=x.slice(-h);m.forEach(function(O){return L[O]=0});var N=S.util.locToIndex(L,h,p),I=x.slice(-d);g.forEach(function(O){return I[O]=0});var C=S.util.locToIndex(I,d,f);u[b]=n(r[N],i[C])},y=0;y<u.length;++y)w(y);return[u,s]}}function An(n){var t=n.inputs,e=n.backend,r=t.real,i=t.imag,a=e.data.get(r.dataId).values,s=e.data.get(i.dataId).values,o=e.makeTensorInfo(r.shape,"complex64"),c=e.data.get(o.dataId);return c.complexTensorInfos={real:e.makeTensorInfo(r.shape,"float32",a),imag:e.makeTensorInfo(i.shape,"float32",s)},o}var Z6={kernelName:S.Complex,backendName:"cpu",kernelFunc:An};function di(n){var t=n.inputs,e=n.backend,r=t.x;return e.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var Q6={kernelName:S.Identity,backendName:"cpu",kernelFunc:di};function es(n){var t=n.inputs,e=n.backend,r=t.input,i=e.data.get(r.dataId).complexTensorInfos.real,a=e.data.get(i.dataId).values;return e.makeTensorInfo(i.shape,i.dtype,a)}var e8={kernelName:S.Real,backendName:"cpu",kernelFunc:es};function ts(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.dtype;if(a==="complex64"){if(i.dtype==="complex64")return di({inputs:{x:i},backend:e});var s=S.zeros(i.shape),o=ts({inputs:{x:i},backend:e,attrs:{dtype:"float32"}}),c=An({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),c}if(i.dtype==="complex64"){var l=es({inputs:{input:i},backend:e}),c=ts({inputs:{x:l},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(l),c}if(!S.util.hasEncodingLoss(i.dtype,a)){var c=di({inputs:{x:i},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:a}}if(a==="int32"){var u=e.data.get(i.dataId).values,h=Int32Array.from(u);return e.makeTensorInfo(i.shape,"int32",h)}if(a==="bool"){var d=e.data.get(i.dataId).values,p=S.util.toTypedArray([0],i.dtype),f=Er(function(y,w){return y!==w?1:0})(i.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 "+i.dtype+" to "+a)}var t8={kernelName:S.Cast,backendName:"cpu",kernelFunc:ts};function Zi(n,t,e,r){return e==null?function(i){var a=i.inputs,s=i.backend,o=a,c=o.a,l=o.b,u=s;ae([c,l],n);var h=u.data.get(c.dataId).values,d=u.data.get(l.dataId).values,p=r||c.dtype,f=t(c.shape,l.shape,h,d,p),m=f[0],g=f[1];return u.makeTensorInfo(g,p,m)}:function(i){var a=i.inputs,s=i.backend,o=a,c=o.a,l=o.b,u=s;if(c.dtype==="complex64"||l.dtype==="complex64"){var h=ts({inputs:{x:c},backend:u,attrs:{dtype:"complex64"}}),d=u.data.get(h.dataId),p=d.complexTensorInfos.real,f=d.complexTensorInfos.imag,m=u.data.get(p.dataId).values,g=u.data.get(f.dataId).values,y=ts({inputs:{x:l},backend:u,attrs:{dtype:"complex64"}}),w=u.data.get(y.dataId),b=w.complexTensorInfos.real,x=w.complexTensorInfos.imag,L=u.data.get(b.dataId).values,N=u.data.get(x.dataId).values,I=e(c.shape,l.shape,m,g,L,N),C=I[0],O=I[1],D=I[2],F=u.makeTensorInfo(D,"float32",C),k=u.makeTensorInfo(D,"float32",O),B=An({inputs:{real:F,imag:k},backend:u});return u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo(y),u.disposeIntermediateTensorInfo(F),u.disposeIntermediateTensorInfo(k),B}else{var V=u.data.get(c.dataId).values,P=u.data.get(l.dataId).values,G=r||c.dtype,j=t(c.shape,l.shape,V,P,G),q=j[0],D=j[1];return u.makeTensorInfo(D,G,q)}}}function Ed(n){return function(t,e,r,i,a,s){var o=S.backend_util.assertAndGetBroadcastShape(t,e),c=S.util.sizeFromShape(o),l=o.length,u=S.util.computeStrides(o),h=S.util.getTypedArrayFromDType("float32",c),d=S.util.getTypedArrayFromDType("float32",c),p=S.backend_util.getBroadcastDims(t,o),f=S.backend_util.getBroadcastDims(e,o),m=S.backend_util.mergeRealAndImagArrays(r,i),g=S.backend_util.mergeRealAndImagArrays(a,s),y=t.length,w=S.util.computeStrides(t),b=e.length,x=S.util.computeStrides(e);if(p.length+f.length===0)for(var L=0;L<h.length;L++){var N=L%m.length,I=L%g.length,C=n(m[N*2],m[N*2+1],g[I*2],g[I*2+1]);h[L]=C.real,d[L]=C.imag}else for(var O=function(D){var F=S.util.indexToLoc(D,l,u),k=F.slice(-y);p.forEach(function(j){return k[j]=0});var B=S.util.locToIndex(k,y,w),V=F.slice(-b);f.forEach(function(j){return V[j]=0});var P=S.util.locToIndex(V,b,x),G=n(m[B*2],m[B*2+1],g[P*2],g[P*2+1]);h[D]=G.real,d[D]=G.imag},L=0;L<h.length;L++)O(L);return[h,d,o]}}var hw=Er(function(n,t){return n+t}),n8=Ed(function(n,t,e,r){return{real:n+e,imag:t+r}}),ns=Zi(S.Add,hw,n8),r8={kernelName:S.Add,backendName:"cpu",kernelFunc:ns};function Qi(n){return function(t,e,r){for(var i=S.util.getTypedArrayFromDType(e,t.length),a=0;a<t.length;++a)i[a]=n(t[a],r);return i}}function je(n,t,e){return function(r){var i=r.inputs,a=r.attrs,s=r.backend,o=i.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");for(var c=s,l=c.data.get(o.dataId).values,u=S.util.sizeFromShape(o.shape),h=e||o.dtype,d=S.util.getArrayFromDType(h,u),p=0;p<u;++p)d[p]=t(l[p],a);return c.makeTensorInfo(o.shape,h,d)}}function ea(n,t,e){return function(r){var i=r.inputs,a=r.attrs,s=r.backend,o=i.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");var c=s,l=c.data.get(o.dataId).values,u=e||o.dtype,h=t(l,u,a);return c.makeTensorInfo(o.shape,u,h)}}var dw=Qi(function(n){return Math.ceil(n)}),i8=ea(S.Ceil,dw),a8={kernelName:S.Ceil,backendName:"cpu",kernelFunc:i8};var pw=Qi(function(n){return Math.exp(n)}),s8=ea(S.Exp,pw),o8={kernelName:S.Exp,backendName:"cpu",kernelFunc:s8};var fw=Qi(function(n){return Math.expm1(n)}),c8=ea(S.Expm1,fw),l8={kernelName:S.Expm1,backendName:"cpu",kernelFunc:c8};var mw=Qi(function(n){return Math.floor(n)}),u8=ea(S.Floor,mw),h8={kernelName:S.Floor,backendName:"cpu",kernelFunc:u8};var gw=Qi(function(n){return Math.log(n)}),d8=ea(S.Log,gw),p8={kernelName:S.Log,backendName:"cpu",kernelFunc:d8};function yw(n,t,e,r){for(var i=S.util.getTypedArrayFromDType(r,S.util.sizeFromShape(e)),a=0;a<i.length;++a){for(var s=a*t,o=n[s],c=0;c<t;++c){var l=n[s+c];l>o&&(o=l)}i[a]=o}return i}var vw=Er(function(n,t){return n*t}),f8=Ed(function(n,t,e,r){return{real:n*e-t*r,imag:n*r+t*e}}),ww=Zi(S.Multiply,vw,f8),m8={kernelName:S.Multiply,backendName:"cpu",kernelFunc:ww};var bw=Er(function(n,t){return n!==t?1:0}),g8=Zi(S.NotEqual,bw,null,"bool"),y8={kernelName:S.NotEqual,backendName:"cpu",kernelFunc:g8};var xw=Qi(function(n){return 1/Math.sqrt(n)}),v8=ea(S.Rsqrt,xw),w8={kernelName:S.Rsqrt,backendName:"cpu",kernelFunc:v8};function Lw(n,t,e,r,i){var a=S.slice_util.isSliceContinous(r,t,e),s=S.util.sizeFromShape(e),o=S.util.computeStrides(r);if(a){var c=S.slice_util.computeFlatOffset(t,o);return n.subarray(c,c+s)}for(var l=S.util.getTypedArrayFromDType(i,s),u=0;u<s;++u){var h=e.length,d=S.util.computeStrides(e),p=S.util.indexToLoc(u,h,d),f=p.map(function(g,y){return g+t[y]}),m=S.util.locToIndex(f,r.length,o);l[u]=n[m]}return l}function Dd(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.begin,s=r.size;ae(i,"slice");var o=S.slice_util.parseSliceParams(i,a,s),c=o[0],l=o[1];S.slice_util.assertParamsValid(i,c,l);var u=e.data.get(i.dataId).values,h=Lw(u,c,l,i.shape,i.dtype);return e.makeTensorInfo(l,i.dtype,h)}var b8={kernelName:S.Slice,backendName:"cpu",kernelFunc:Dd};var Sw=Er(function(n,t){var e=n-t;return e*e}),x8=Zi(S.SquaredDifference,Sw),L8={kernelName:S.SquaredDifference,backendName:"cpu",kernelFunc:x8};var Iw=Er(function(n,t){return n-t}),S8=Ed(function(n,t,e,r){return{real:n-e,imag:t-r}}),Aw=Zi(S.Sub,Iw,S8),I8={kernelName:S.Sub,backendName:"cpu",kernelFunc:Aw};function kd(n,t,e,r,i){for(var a=t.length,s=S.util.sizeFromShape(t),o=S.util.computeStrides(t),c=S.util.computeStrides(i),l=S.util.getTypedArrayFromDType(e,S.util.sizeFromShape(i)),u=0;u<s;++u){for(var h=S.util.indexToLoc(u,a,o),d=new Array(h.length),p=0;p<d.length;p++)d[p]=h[r[p]];var f=S.util.locToIndex(d,a,c);l[f]=n[u]}return l}function Tw(n,t,e,r){for(var i=S.util.parseAxisParam(t,e)[0],a=[1,e[0],1],s=0;s<i;s++)a[0]*=e[s];a[1]=e[i];for(var s=i+1;s<e.length;s++)a[2]*=e[s];for(var o={},c=new Int32Array(e[i]),l=new S.TensorBuffer(a,r,n),u=[],h=a[0]===1&&a[2]===1,s=0;s<e[i];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(l.get(f,s,m));d=p.join(",")}if(o[d]!==void 0)c[s]=o[d];else{var g=Object.keys(o).length;o[d]=g,c[s]=g,u.push(s)}}var y=a.slice();y[1]=Object.keys(o).length;var w=new S.TensorBuffer(y,r);u.forEach(function(x,L){for(var N=0;N<a[0];N++)for(var I=0;I<a[2];I++)w.set(l.get(N,x,I),N,L,I)});var b=e.slice();return b[i]=y[1],{outputValues:w.values,outputShape:b,indices:c}}var A8={__proto__:null,simpleAbsImpl:uw,addImpl:hw,ceilImpl:dw,expImpl:pw,expm1Impl:fw,floorImpl:mw,logImpl:gw,maxImpl:yw,multiplyImpl:vw,notEqualImpl:bw,rsqrtImpl:xw,sliceImpl:Lw,squaredDifferenceImpl:Sw,subImpl:Iw,transposeImpl:kd,uniqueImpl:Tw};var T8="2.7.0";S.registerBackend("cpu",function(){return new lw},1);var Nw=je(S.Elu,function(n){return n>=0?n:Math.exp(n)-1}),N8={kernelName:S.Elu,backendName:"cpu",kernelFunc:Nw};var _8=Er(function(n,t){return n<0?t*n:n});function _w(n){var t=n.inputs,e=n.backend,r=t.x,i=t.alpha;ae([r,i],"prelu");var a=e.data.get(r.dataId).values,s=e.data.get(i.dataId).values,o=_8(r.shape,i.shape,a,s,r.dtype),c=o[0],l=o[1];return e.makeTensorInfo(l,r.dtype,c)}var C8={kernelName:S.Prelu,backendName:"cpu",kernelFunc:_w};var Cw=je(S.Relu,function(n){return Math.max(0,n)}),R8={kernelName:S.Relu,backendName:"cpu",kernelFunc:Cw};var Rw=je(S.Relu6,function(n){return Math.min(Math.max(0,n),6)}),O8={kernelName:S.Relu6,backendName:"cpu",kernelFunc:Rw};function Fd(n,t,e,r){if(e==="linear")return di({inputs:{x:t},backend:n});if(e==="relu")return Cw({inputs:{x:t},backend:n});if(e==="elu")return Nw({inputs:{x:t},backend:n});if(e==="relu6")return Rw({inputs:{x:t},backend:n});if(e==="prelu")return _w({inputs:{x:t,alpha:r},backend:n});throw new Error("Activation "+e+" has not been implemented for the CPU backend.")}function Un(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.shape,s=S.util.sizeFromShape(i.shape),o=S.util.inferFromImplicitShape(a,s),c=S.util.sizeFromShape(o);S.util.assert(s===c,function(){return"The new shape ("+o+") has "+c+" elements and the old "+("shape ("+i.shape+") has "+s+" elements. The new shape and old ")+"shape must have the same number of elements."}),e.incRef(i.dataId);var l=e.data.get(i.dataId);if(l.complexTensorInfos!=null){var u=l.complexTensorInfos.real,h=l.complexTensorInfos.imag;u.shape=o,h.shape=o}return{dataId:i.dataId,shape:o,dtype:i.dtype}}var E8={kernelName:S.Reshape,backendName:"cpu",kernelFunc:Un};function Ow(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.a,a=t.b,s=r.transposeA,o=r.transposeB;ae([i,a],"matMul");var c=i.shape.length,l=a.shape.length,u=s?i.shape[c-2]:i.shape[c-1],h=o?a.shape[l-1]:a.shape[l-2],d=s?i.shape[c-1]:i.shape[c-2],p=o?a.shape[l-2]:a.shape[l-1],f=i.shape.slice(0,-2),m=a.shape.slice(0,-2),g=S.util.sizeFromShape(f),y=S.util.sizeFromShape(m),w=g===y||g===1||y===1;S.util.assert(c>=2&&l>=2&&w,function(){return"Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input "+("batch dimensions of ("+f+") and ("+m+").")});var b=g>y?i.shape.slice(0,-2):a.shape.slice(0,-2),x=b.concat([d,p]);S.util.assert(u===h,function(){return"Error in matMul: inner shapes ("+u+") and ("+(h+") of Tensors with shapes "+i.shape+" and ")+(a.shape+" and transposeA="+s)+(" and transposeB="+o+" must match.")});for(var L=s?[g,u,d]:[g,d,u],N=o?[y,p,h]:[y,h,p],I=Un({inputs:{x:i},backend:e,attrs:{shape:L}}),C=Un({inputs:{x:a},backend:e,attrs:{shape:N}}),O=s?I.shape[1]:I.shape[2],D=s?I.shape[2]:I.shape[1],F=o?C.shape[1]:C.shape[2],k=Math.max(g,y),B=e.data.get(I.dataId).values,V=e.data.get(C.dataId).values,P=S.util.computeStrides(I.shape),G=S.util.computeStrides(C.shape),j=s?[P[0],1,P[1]]:[P[0],P[1],1],q=j[0],H=j[1],J=j[2],$=o?[1,G[1],G[0]]:[G[1],1,G[0]],ee=$[0],te=$[1],ne=$[2],re=D*F,ie=S.buffer([k,D,F],I.dtype),oe=ie.values,se=e.blockSize,me=0;me<k;me++)for(var ye=0;ye<D;ye+=se)for(var ve=0;ve<F;ve+=se)for(var Ee=0;Ee<O;Ee+=se)for(var Be=Math.min(ye+se,D),We=Math.min(ve+se,F),Ke=Math.min(Ee+se,O),ze=ye;ze<Be;ze++)for(var Ie=ve;Ie<We;Ie++){for(var ue=0,et=Ee;et<Ke;et++){var pt=Math.min(me,g-1)*q,He=Math.min(me,y-1)*ne,Ot=B[pt+ze*H+et*J],ut=V[et*ee+Ie*te+He];ue+=Ot*ut}oe[me*re+(ze*F+Ie)]+=ue}return e.disposeIntermediateTensorInfo(I),e.disposeIntermediateTensorInfo(C),e.makeTensorInfo(x,ie.dtype,ie.values)}var D8={kernelName:S.BatchMatMul,backendName:"cpu",kernelFunc:Ow};function k8(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.a,a=t.b,s=t.bias,o=t.preluActivationWeights,c=r.transposeA,l=r.transposeB,u=r.activation,h,d,p,f=[],m=Ow({inputs:{a:i,b:a},attrs:{transposeA:c,transposeB:l},backend:e});h=m,s&&(d=ns({inputs:{a:h,b:s},backend:e}),f.push(h),h=d),u&&(p=Fd(e,h,u,o),f.push(h),h=p);for(var g=0,y=f;g<y.length;g++){var w=y[g];e.disposeIntermediateTensorInfo(w)}return h}var F8={kernelName:S._FusedMatMul,backendName:"cpu",kernelFunc:k8};var W8=je(S.Acos,function(n){return Math.acos(n)}),U8={kernelName:S.Acos,backendName:"cpu",kernelFunc:W8};var B8=je(S.Acosh,function(n){return Math.acosh(n)}),z8={kernelName:S.Acosh,backendName:"cpu",kernelFunc:B8};var P8=je(S.Asin,function(n){return Math.asin(n)}),M8={kernelName:S.Asin,backendName:"cpu",kernelFunc:P8};var H8=je(S.Asinh,function(n){return Math.asinh(n)}),V8={kernelName:S.Asinh,backendName:"cpu",kernelFunc:H8};var G8=je(S.Atan,function(n){return Math.atan(n)}),q8={kernelName:S.Atan,backendName:"cpu",kernelFunc:G8};var Y8=je(S.Atanh,function(n){return Math.atanh(n)}),K8={kernelName:S.Atanh,backendName:"cpu",kernelFunc:Y8};function Wd(n,t,e,r,i,a){for(var s=i.strideHeight,o=i.strideWidth,c=i.dilationHeight,l=i.dilationWidth,u=i.effectiveFilterHeight,h=i.effectiveFilterWidth,d=i.padInfo.top,p=i.padInfo.left,f=a==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=S.buffer(i.outShape,e),g=m.values,y=i.outShape[1]*i.outShape[2]*i.outShape[3],w=i.outShape[2]*i.outShape[3],b=i.outShape[3],x=0;x<i.batchSize;++x)for(var L=x*y,N=x*r[0],I=0;I<i.inChannels;++I)for(var C=0;C<i.outHeight;++C)for(var O=C*s-d,D=Math.max(0,O),F=Math.min(i.inHeight,u+O),k=L+C*w,B=0;B<i.outWidth;++B){for(var V=B*o-p,P=Math.max(0,V),G=Math.min(i.inWidth,h+V),j=f,q=0,H=0,J=D;J<F;J+=c){for(var $=N+J*r[1],ee=P;ee<G;ee+=l){var te=$+ee*r[2],ne=n[te+I];a==="max"&&ne>j?j=ne:a==="avg"&&(q+=ne,H++)}if(isNaN(j))break}var re=k+B*b+I;g[re]=a==="avg"?q/H:j}return m}function Ew(n,t,e,r,i,a){i===void 0&&(i=!1),a===void 0&&(a=!1);for(var s=S.buffer(r.outShape,"int32"),o=r.strideHeight,c=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterHeight,d=r.effectiveFilterWidth,p=r.padInfo.top,f=r.padInfo.left,m=S.buffer(t,e,n),g=0;g<r.batchSize;++g)for(var y=0;y<r.inChannels;++y)for(var w=0;w<r.outHeight;++w){for(var b=w*o-p,x=b;x<0;)x+=l;for(var L=Math.min(r.inHeight,h+b),N=0;N<r.outWidth;++N){for(var I=N*c-f,C=I;C<0;)C+=u;for(var O=Math.min(r.inWidth,d+I),D=Number.NEGATIVE_INFINITY,F=-1,k=x;k<L;k+=l)for(var B=k-b,V=C;V<O;V+=u){var P=V-I,G=m.get(g,k,V,y);G>D&&(D=G,i?F=a?((g*r.inHeight+k)*r.inWidth+V)*r.inChannels+y:(k*r.inWidth+V)*r.inChannels+y:F=B*d+P)}s.set(F,g,w,N,y)}}return s}function j8(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ae(i,"avgPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=S.backend_util.computePool2DInfo(i.shape,a,s,l,o,c),h;if(u.filterWidth===1&&u.filterHeight===1&&S.util.arraysEqual(u.inShape,u.outShape))h=di({inputs:{x:i},backend:e});else{var d=e.data.get(i.dataId).values,p=S.util.computeStrides(i.shape),f=Wd(d,i.shape,i.dtype,p,u,"avg");h=e.makeTensorInfo(u.outShape,i.dtype,f.values)}return h}var $8={kernelName:S.AvgPool,backendName:"cpu",kernelFunc:j8};function X8(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=a;ae([i,a],"avgPoolBackprop");for(var o=r.filterSize,c=r.strides,l=r.pad,u=S.backend_util.computePool2DInfo(s.shape,o,c,1,l),h=u.strideHeight,d=u.strideWidth,p=u.filterHeight,f=u.filterWidth,m=u.dilationHeight,g=u.dilationWidth,y=u.effectiveFilterHeight,w=u.effectiveFilterWidth,b=w-1-u.padInfo.left,x=y-1-u.padInfo.top,L=S.buffer(s.shape,"float32"),N=1/(p*f),I=e.data.get(i.dataId).values,C=S.buffer(i.shape,"float32",I),O=0;O<u.batchSize;++O)for(var D=0;D<u.inChannels;++D)for(var F=0;F<u.inHeight;++F)for(var k=0;k<u.inWidth;++k){for(var B=F-x,V=k-b,P=0,G=0;G<y;G+=m){var j=(B+G)/h;if(j<0||j>=u.outHeight||Math.floor(j)!==j)continue;for(var q=0;q<w;q+=g){var H=(V+q)/d;if(H<0||H>=u.outWidth||Math.floor(H)!==H)continue;var J=C.get(O,j,H,D);P+=J}}L.set(P*N,O,F,k,D)}return e.makeTensorInfo(L.shape,L.dtype,L.values)}var J8={kernelName:S.AvgPoolBackprop,backendName:"cpu",kernelFunc:X8};function Z8(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.scale,s=t.offset,o=t.mean,c=t.variance;S.util.assert(o.shape.length===c.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),S.util.assert(s==null||o.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),S.util.assert(a==null||o.shape.length===a.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),ae([i,o,c,a,s],"batchNorm");var l=r.varianceEpsilon;l==null&&(l=.001);for(var u=e.data.get(i.dataId).values,h=e.data.get(o.dataId).values,d=e.data.get(c.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(u.length),g=f.length,y=p.length,w=d.length,b=h.length,x=0,L=0,N=0,I=0,C=0;C<u.length;++C)m[C]=f[x++]+(u[C]-h[L++])*p[N++]/Math.sqrt(d[I++]+l),x>=g&&(x=0),L>=b&&(L=0),N>=y&&(N=0),I>=w&&(I=0);return e.makeTensorInfo(i.shape,i.dtype,m)}var Q8={kernelName:S.FusedBatchNorm,backendName:"cpu",kernelFunc:Z8};var e9=je(S.ClipByValue,function(n,t){var e=t;return n>e.clipValueMax?e.clipValueMax:n<e.clipValueMin?e.clipValueMin:n}),t9={kernelName:S.ClipByValue,backendName:"cpu",kernelFunc:e9};function Bo(n){var t=n.inputs,e=n.backend,r=t.input,i=e.data.get(r.dataId).complexTensorInfos.imag,a=e.data.get(i.dataId).values;return e.makeTensorInfo(i.shape,i.dtype,a)}var n9={kernelName:S.Imag,backendName:"cpu",kernelFunc:Bo};function rs(n){var t=n.inputs,e=n.backend,r=n.attrs,i=r.axis,a=S.util.parseAxisParam(i,t[0].shape)[0],s=S.backend_util.computeOutShape(t.map(function(x){return x.shape}),a);if(S.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(x){return S.util.sizeFromShape(x.shape)>0});if(o.length===1)return o[0];var c=o.map(function(x){return x.shape});if(S.backend_util.assertParamsConsistent(c,a),o[0].dtype==="complex64"){var l=o.map(function(x){return es({inputs:{input:x},backend:e})}),u=o.map(function(x){return Bo({inputs:{input:x},backend:e})}),h=rs({inputs:l,backend:e,attrs:{axis:a}}),d=rs({inputs:u,backend:e,attrs:{axis:a}}),p=An({inputs:{real:h,imag:d},backend:e});return l.forEach(function(x){return e.disposeIntermediateTensorInfo(x)}),u.forEach(function(x){return e.disposeIntermediateTensorInfo(x)}),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}var f=o.map(function(x){var L=S.util.sizeFromShape(x.shape.slice(a)),N=[-1,L];return Un({inputs:{x},backend:e,attrs:{shape:N}})});s=S.backend_util.computeOutShape(f.map(function(x){return x.shape}),1);var m=S.util.getTypedArrayFromDType(o[0].dtype,S.util.sizeFromShape(s));if(f[0].shape[0]===1){var g=0;f.forEach(function(x){var L=e.data.get(x.dataId).values,N=S.util.sizeFromShape(x.shape);m.set(L,g),g+=N})}else{var y=0;f.forEach(function(x){for(var L=e.data.get(x.dataId).values,N=0,I=0;I<x.shape[0];++I)for(var C=I*s[1]+y,O=0;O<x.shape[1];++O)m[C+O]=L[N++];y+=x.shape[1]})}var w=S.backend_util.computeOutShape(o.map(function(x){return x.shape}),a),b=e.makeTensorInfo(w,t[0].dtype,m);return f.forEach(function(x){return e.disposeIntermediateTensorInfo(x)}),b}var r9={kernelName:S.Concat,backendName:"cpu",kernelFunc:rs};function Dw(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dataFormat,l=r.dilations,u=r.dimRoundingMode;ae([i,a],"conv2d");for(var h=S.backend_util.convertConv2DDataFormat(c),d=S.backend_util.computeConv2DInfo(i.shape,a.shape,s,l,o,u,!1,h),p=d.filterHeight,f=d.filterWidth,m=d.dilationHeight,g=d.dilationWidth,y=d.padInfo.left,w=d.padInfo.top,b=d.dataFormat==="channelsLast",x=new S.TensorBuffer(d.outShape,i.dtype),L=S.util.computeStrides(i.shape),N=S.util.computeStrides(a.shape),I=L[0],C=b?L[1]:L[2],O=b?L[2]:1,D=b?1:L[1],F=x.strides[0],k=b?x.strides[1]:x.strides[2],B=b?x.strides[2]:1,V=b?1:x.strides[1],P=e.data.get(i.dataId).values,G=e.data.get(a.dataId).values,j=x.values,q=0;q<d.batchSize;++q)for(var H=q*I,J=q*F,$=0;$<d.outHeight;++$)for(var ee=J+$*k,te=$*d.strideHeight-w,ne=0;ne<p;++ne){var re=te+ne*m;if(re<0||re>=d.inHeight)continue;for(var ie=ne*N[0],oe=H+re*C,se=0;se<d.outWidth;++se)for(var me=ee+se*B,ye=se*d.strideWidth-y,ve=0;ve<f;++ve){var Ee=ye+ve*g;if(Ee<0||Ee>=d.inWidth)continue;for(var Be=ie+ve*N[1],We=oe+Ee*O,Ke=Be,ze=0;ze<d.inChannels;++ze){for(var Ie=P[We+ze*D],ue=0;ue<d.outChannels;++ue)j[me+ue*V]+=Ie*G[Ke+ue];Ke+=d.outChannels}}}return e.makeTensorInfo(x.shape,x.dtype,j)}var i9={kernelName:S.Conv2D,backendName:"cpu",kernelFunc:Dw};function a9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.pad,c=r.dataFormat,l=r.dimRoundingMode,u=r.filterShape;ae([i,a],"conv2dBackpropFilter");for(var h=S.backend_util.convertConv2DDataFormat(c),d=S.backend_util.computeConv2DInfo(i.shape,u,s,1,o,l,!1,h),p=d.strideHeight,f=d.strideWidth,m=d.filterHeight,g=d.filterWidth,y=d.dataFormat==="channelsLast",w=new S.TensorBuffer(d.filterShape,"float32"),b=d.padInfo.left,x=d.padInfo.top,L=e.data.get(i.dataId).values,N=e.data.get(a.dataId).values,I=new S.TensorBuffer(i.shape,i.dtype,L),C=new S.TensorBuffer(a.shape,a.dtype,N),O=0;O<m;++O)for(var D=Math.max(0,Math.ceil((x-O)/p)),F=Math.min(d.outHeight,(d.inHeight+x-O)/p),k=0;k<g;++k)for(var B=Math.max(0,Math.ceil((b-k)/f)),V=Math.min(d.outWidth,(d.inWidth+b-k)/f),P=0;P<d.inChannels;++P)for(var G=0;G<d.outChannels;++G){for(var j=0,q=0;q<d.batchSize;++q)for(var H=D;H<F;++H)for(var J=O+H*p-x,$=B;$<V;++$){var ee=k+$*f-b;y?j+=I.get(q,J,ee,P)*C.get(q,H,$,G):j+=I.get(q,P,J,ee)*C.get(q,G,H,$)}w.set(j,O,k,P,G)}return e.makeTensorInfo(w.shape,w.dtype,w.values)}var s9={kernelName:S.Conv2DBackpropFilter,backendName:"cpu",kernelFunc:a9};function o9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.inputShape,o=r.strides,c=r.pad,l=r.dataFormat,u=r.dimRoundingMode;ae([i,a],"conv2dBackpropInput");var h=S.util.computeStrides(a.shape),d=S.util.computeStrides(i.shape),p=S.backend_util.convertConv2DDataFormat(l),f=S.backend_util.computeConv2DInfo(s,a.shape,o,1,c,u,!1,p),m=new S.TensorBuffer(f.inShape,"float32"),g=m.values,y=e.data.get(i.dataId).values,w=e.data.get(a.dataId).values,b=h[0],x=h[1],L=h[2],N=f.batchSize,I=f.filterHeight,C=f.filterWidth,O=f.inChannels,D=f.inHeight,F=f.inWidth,k=f.outChannels,B=f.outHeight,V=f.outWidth,P=f.strideHeight,G=f.strideWidth;p=f.dataFormat;for(var j=I-1-f.padInfo.top,q=C-1-f.padInfo.left,H=p==="channelsLast",J=m.strides[0],$=H?m.strides[1]:m.strides[2],ee=H?m.strides[2]:1,te=H?1:m.strides[1],ne=d[0],re=H?d[1]:d[2],ie=H?d[2]:1,oe=H?1:d[1],se=0;se<N;++se)for(var me=0;me<O;++me)for(var ye=0;ye<D;++ye)for(var ve=ye-j,Ee=Math.max(0,Math.ceil(ve/P)),Be=Math.min(B,(I+ve)/P),We=0;We<F;++We){for(var Ke=We-q,ze=Math.max(0,Math.ceil(Ke/G)),Ie=Math.min(V,(C+Ke)/G),ue=0,et=Ee;et<Be;++et)for(var pt=et*P-ve,He=ze;He<Ie;++He)for(var Ot=He*G-Ke,ut=ne*se+re*et+ie*He,vt=b*(I-1-pt)+x*(C-1-Ot)+L*me,Te=0;Te<k;++Te){var ht=y[ut+oe*Te],ft=w[vt+Te];ue+=ht*ft}var Ge=J*se+$*ye+ee*We+te*me;g[Ge]=ue}return e.makeTensorInfo(m.shape,m.dtype,m.values)}var c9={kernelName:S.Conv2DBackpropInput,backendName:"cpu",kernelFunc:o9};function l9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dilations;ae([i,a],"conv3d");for(var l=S.backend_util.computeConv3DInfo(i.shape,a.shape,s,c,o),u=l.filterDepth,h=l.filterHeight,d=l.filterWidth,p=l.dilationDepth,f=l.dilationHeight,m=l.dilationWidth,g=l.padInfo,y=g.front,w=g.left,b=g.top,x=new S.TensorBuffer(l.outShape,i.dtype),L=e.data.get(i.dataId).values,N=e.data.get(a.dataId).values,I=x.values,C=S.util.computeStrides(i.shape),O=S.util.computeStrides(a.shape),D=0;D<l.batchSize;++D)for(var F=D*C[0],k=D*x.strides[0],B=0;B<l.outDepth;++B)for(var V=k+B*x.strides[1],P=B*l.strideDepth-y,G=0;G<u;++G){var j=P+G*p;if(j<0||j>=l.inDepth)continue;for(var q=G*O[0],H=F+j*C[1],J=0;J<l.outHeight;++J)for(var $=V+J*x.strides[2],ee=J*l.strideHeight-b,te=0;te<h;++te){var ne=ee+te*f;if(ne<0||ne>=l.inHeight)continue;for(var re=q+te*O[1],ie=H+ne*C[2],oe=0;oe<l.outWidth;++oe)for(var se=$+oe*l.outChannels,me=oe*l.strideWidth-w,ye=0;ye<d;++ye){var ve=me+ye*m;if(ve<0||ve>=l.inWidth)continue;for(var Ee=re+ye*O[2],Be=ie+ve*l.inChannels,We=Ee,Ke=0;Ke<l.inChannels;++Ke){for(var ze=L[Be+Ke],Ie=0;Ie<l.outChannels;++Ie)I[se+Ie]+=ze*N[We+Ie];We+=l.outChannels}}}}return e.makeTensorInfo(x.shape,x.dtype,x.values)}var u9={kernelName:S.Conv3D,backendName:"cpu",kernelFunc:l9};function h9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.pad,c=r.filterShape;ae([i,a],"conv3dBackpropFilterV2");for(var l=S.util.computeStrides(i.shape),u=S.util.computeStrides(a.shape),h=S.backend_util.computeConv3DInfo(i.shape,c,s,1,o),d=h.strideDepth,p=h.strideHeight,f=h.strideWidth,m=h.filterDepth,g=h.filterHeight,y=h.filterWidth,w=new S.TensorBuffer(h.filterShape,"float32"),b=w.values,x=w.strides,L=x[0],N=x[1],I=x[2],C=x[3],O=e.data.get(a.dataId).values,D=u[0],F=u[1],k=u[2],B=u[3],V=e.data.get(i.dataId).values,P=l[0],G=l[1],j=l[2],q=l[3],H=h.padInfo.front,J=h.padInfo.left,$=h.padInfo.top,ee=0;ee<m;++ee)for(var te=Math.max(0,Math.ceil((H-ee)/d)),ne=Math.min(h.outDepth,(h.inDepth+H-ee)/d),re=ee*L,ie=0;ie<g;++ie)for(var oe=Math.max(0,Math.ceil(($-ie)/p)),se=Math.min(h.outHeight,(h.inHeight+$-ie)/p),me=ie*N+re,ye=0;ye<y;++ye)for(var ve=Math.max(0,Math.ceil((J-ye)/f)),Ee=Math.min(h.outWidth,(h.inWidth+J-ye)/f),Be=ye*I+me,We=0;We<h.inChannels;++We)for(var Ke=We*C+Be,ze=0;ze<h.outChannels;++ze){for(var Ie=0,ue=0;ue<h.batchSize;++ue)for(var et=ue*P,pt=ue*D,He=te;He<ne;++He)for(var Ot=ee+He*d-H,ut=Ot*G+et,vt=He*F+pt,Te=oe;Te<se;++Te)for(var ht=ie+Te*p-$,ft=ht*j+ut,Ge=Te*k+vt,Kt=ve;Kt<Ee;++Kt){var qn=ye+Kt*f-J,kt=qn*q+ft,ma=Kt*B+Ge;Ie+=V[kt+We]*O[ma+ze]}b[Ke+ze]=Ie}return e.makeTensorInfo(w.shape,w.dtype,w.values)}var d9={kernelName:S.Conv3DBackpropFilterV2,backendName:"cpu",kernelFunc:h9};function p9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.pad,o=r.strides,c=r.inputShape;ae([i],"conv3dBackpropInputV2");for(var l=S.util.computeStrides(i.shape),u=S.util.computeStrides(a.shape),h=S.backend_util.computeConv3DInfo(c,a.shape,o,1,s),d=new S.TensorBuffer(h.inShape,"float32"),p=d.values,f=d.strides,m=f[0],g=f[1],y=f[2],w=f[3],b=e.data.get(i.dataId).values,x=l[0],L=l[1],N=l[2],I=l[3],C=e.data.get(a.dataId).values,O=u[0],D=u[1],F=u[2],k=u[3],B=h.batchSize,V=h.filterDepth,P=h.filterHeight,G=h.filterWidth,j=h.inChannels,q=h.inDepth,H=h.inHeight,J=h.inWidth,$=h.outChannels,ee=h.outDepth,te=h.outHeight,ne=h.outWidth,re=h.strideDepth,ie=h.strideHeight,oe=h.strideWidth,se=V-1-h.padInfo.front,me=P-1-h.padInfo.top,ye=G-1-h.padInfo.left,ve=0;ve<B;++ve)for(var Ee=0;Ee<j;++Ee)for(var Be=0;Be<q;++Be)for(var We=Be-se,Ke=Math.max(0,Math.ceil(We/re)),ze=Math.min(ee,(V+We)/re),Ie=0;Ie<H;++Ie)for(var ue=Ie-me,et=Math.max(0,Math.ceil(ue/ie)),pt=Math.min(te,(P+ue)/ie),He=0;He<J;++He){for(var Ot=He-ye,ut=Math.max(0,Math.ceil(Ot/oe)),vt=Math.min(ne,(G+Ot)/oe),Te=0,ht=Ke;ht<ze;++ht)for(var ft=ht*re-We,Ge=et;Ge<pt;++Ge)for(var Kt=Ge*ie-ue,qn=ut;qn<vt;++qn)for(var kt=qn*oe-Ot,ma=x*ve+L*ht+N*Ge+I*qn,cr=O*(V-1-ft)+D*(P-1-Kt)+F*(G-1-kt)+k*Ee,bi=0;bi<$;++bi){var cc=b[ma+bi],lc=C[cr+bi];Te+=cc*lc}p[m*ve+g*Be+y*Ie+w*He+Ee]=Te}return e.makeTensorInfo(d.shape,d.dtype,d.values)}var f9={kernelName:S.Conv3DBackpropInputV2,backendName:"cpu",kernelFunc:p9};var m9=je(S.Cos,function(n){return Math.cos(n)}),g9={kernelName:S.Cos,backendName:"cpu",kernelFunc:m9};var y9=je(S.Cosh,function(n){return Math.cosh(n)}),v9={kernelName:S.Cosh,backendName:"cpu",kernelFunc:y9};function kw(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dilations,l=r.dimRoundingMode;ae([i,a],"depthwiseConv2DNative");var u=S.util.computeStrides(i.shape),h=S.util.computeStrides(a.shape),d=c;d==null&&(d=[1,1]),S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,d),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+("1. Got strides "+s+" and dilations '"+d+"'")});for(var p=S.backend_util.computeConv2DInfo(i.shape,a.shape,s,d,o,l,!0),f=p.filterHeight,m=p.filterWidth,g=p.dilationHeight,y=p.dilationWidth,w=p.padInfo,b=w.left,x=w.top,L=p.outChannels/p.inChannels,N=new S.TensorBuffer(p.outShape,i.dtype),I=e.data.get(i.dataId).values,C=e.data.get(a.dataId).values,O=N.values,D=0;D<p.batchSize;++D)for(var F=D*u[0],k=D*N.strides[0],B=0;B<p.outHeight;++B)for(var V=k+B*N.strides[1],P=B*p.strideHeight-b,G=0;G<f;++G){var j=P+G*g;if(j<0||j>=p.inHeight)continue;for(var q=G*h[0],H=F+j*u[1],J=0;J<p.outWidth;++J)for(var $=V+J*N.strides[2],ee=J*p.strideWidth-x,te=0;te<m;++te){var ne=ee+te*y;if(ne<0||ne>=p.inWidth)continue;for(var re=q+te*h[1],ie=H+ne*p.inChannels,oe=$,se=re,me=0;me<p.inChannels;++me){for(var ye=I[ie+me],ve=0;ve<L;++ve)O[oe+ve]+=ye*C[se+ve];oe+=L,se+=L}}}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var w9={kernelName:S.DepthwiseConv2dNative,backendName:"cpu",kernelFunc:kw};function b9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.dilations,c=r.pad,l=r.dimRoundingMode,u=r.filterShape;ae([i,a],"depthwiseConv2dNativeBackpropFilter");for(var h=S.backend_util.computeConv2DInfo(i.shape,u,s,o,c,l,!0),d=h.strideHeight,p=h.strideWidth,f=h.filterHeight,m=h.filterWidth,g=new S.TensorBuffer(h.filterShape,"float32"),y=h.padInfo.left,w=h.padInfo.top,b=h.outChannels/h.inChannels,x=e.data.get(i.dataId).values,L=new S.TensorBuffer(i.shape,i.dtype,x),N=e.data.get(a.dataId).values,I=new S.TensorBuffer(a.shape,a.dtype,N),C=0;C<f;++C)for(var O=Math.max(0,Math.ceil((w-C)/d)),D=Math.min(h.outHeight,(h.inHeight+w-C)/d),F=0;F<m;++F)for(var k=Math.max(0,Math.ceil((y-F)/p)),B=Math.min(h.outWidth,(h.inWidth+y-F)/p),V=0;V<h.outChannels;++V){for(var P=Math.trunc(V/b),G=V%b,j=0,q=0;q<h.batchSize;++q)for(var H=O;H<D;++H)for(var J=C+H*d-w,$=k;$<B;++$){var ee=F+$*p-y;j+=L.get(q,J,ee,P)*I.get(q,H,$,V)}g.set(j,C,F,P,G)}return e.makeTensorInfo(g.shape,g.dtype,g.values)}var x9={kernelName:S.DepthwiseConv2dNativeBackpropFilter,backendName:"cpu",kernelFunc:b9};function L9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.strides,o=r.dilations,c=r.pad,l=r.dimRoundingMode,u=r.inputShape;ae([i,a],"depthwiseConv2DNativeBackpropInput");for(var h=S.util.computeStrides(i.shape),d=S.util.computeStrides(a.shape),p=S.backend_util.computeConv2DInfo(u,a.shape,s,o,c,l,!0),f=new S.TensorBuffer(p.inShape,"float32"),m=f.values,g=f.strides,y=g[0],w=g[1],b=g[2],x=e.data.get(i.dataId).values,L=h[0],N=h[1],I=h[2],C=e.data.get(a.dataId).values,O=d[0],D=d[1],F=d[2],k=p.batchSize,B=p.filterHeight,V=p.filterWidth,P=p.inChannels,G=p.inHeight,j=p.inWidth,q=p.outChannels,H=p.outHeight,J=p.outWidth,$=p.strideHeight,ee=p.strideWidth,te=B-1-p.padInfo.top,ne=V-1-p.padInfo.left,re=q/P,ie=0;ie<k;++ie)for(var oe=0;oe<P;++oe)for(var se=0;se<G;++se)for(var me=se-te,ye=Math.max(0,Math.ceil(me/$)),ve=Math.min(H,(B+me)/$),Ee=0;Ee<j;++Ee){for(var Be=Ee-ne,We=Math.max(0,Math.ceil(Be/ee)),Ke=Math.min(J,(V+Be)/ee),ze=0,Ie=ye;Ie<ve;++Ie)for(var ue=Ie*$-me,et=We;et<Ke;++et)for(var pt=et*ee-Be,He=L*ie+N*Ie+I*et,Ot=O*(B-1-ue)+D*(V-1-pt)+F*oe,ut=0;ut<re;++ut){var vt=oe*re+ut,Te=x[He+vt],ht=C[Ot+ut];ze+=Te*ht}m[y*ie+w*se+b*Ee+oe]=ze}return e.makeTensorInfo(f.shape,f.dtype,f.values)}var S9={kernelName:S.DepthwiseConv2dNativeBackpropInput,backendName:"cpu",kernelFunc:L9};var I9={kernelName:S.Dilation2D,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=r,c=o.strides,l=o.pad,u=o.dilations,h=e,d=h.data.get(a.dataId).values,p=a.shape.length,f=h.data.get(s.dataId).values,m=s.shape.length,g=S.backend_util.computeDilation2DInfo(a.shape,s.shape,c,l,"NHWC",u),y=g.batchSize,w=g.inHeight,b=g.inWidth,x=g.inChannels,L=g.outHeight,N=g.outWidth,I=g.padInfo,C=g.strideHeight,O=g.strideWidth,D=g.filterHeight,F=g.filterWidth,k=g.dilationHeight,B=g.dilationWidth,V=g.outShape,P=S.util.sizeFromShape(V),G=V.length,j=S.util.getArrayFromDType(a.dtype,P),q=0;q<y;++q)for(var H=0;H<L;++H)for(var J=H*C-I.top,$=0;$<N;++$)for(var ee=$*O-I.left,te=0;te<x;++te){for(var ne=Number.MIN_SAFE_INTEGER,re=0;re<D;++re){var ie=J+re*k;if(ie>=0&&ie<w)for(var oe=0;oe<F;++oe){var se=ee+oe*B;if(se>=0&&se<b){var me=S.util.locToIndex([q,ie,se,te],p,S.util.computeStrides(a.shape)),ye=S.util.locToIndex([re,oe,te],m,S.util.computeStrides(s.shape)),ve=d[me]+f[ye];ve>ne&&(ne=ve)}}}var Ee=S.util.locToIndex([q,H,$,te],G,S.util.computeStrides(V));j[Ee]=ne}var Be=h.write(S.util.toTypedArray(j,a.dtype),V,a.dtype);return{dataId:Be,shape:V,dtype:a.dtype}}};var A9={kernelName:S.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=i.dy,c=r,l=c.strides,u=c.pad,h=c.dilations,d=e,p=S.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=S.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=S.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",h),g=m.batchSize,y=m.inHeight,w=m.inWidth,b=m.inChannels,x=m.outHeight,L=m.outWidth,N=m.padInfo,I=m.strideHeight,C=m.strideWidth,O=m.filterHeight,D=m.filterWidth,F=m.dilationHeight,k=m.dilationWidth,B=m.outShape;S.util.assert(o.rank===B.length,function(){return"Error in "+S.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+B.length+", but got ")+(""+o.rank)});for(var V=S.util.toNestedArray(B,d.data.get(o.dataId).values),P=S.util.makeZerosNestedTypedArray(s.shape,s.dtype),G=0;G<g;++G)for(var j=0;j<x;++j)for(var q=j*I-N.top,H=0;H<L;++H)for(var J=H*C-N.left,$=0;$<b;++$){for(var ee=Number.MIN_SAFE_INTEGER,te=0,ne=0,re=0;re<O;++re){var ie=q+re*F;if(ie>=0&&ie<y)for(var oe=0;oe<D;++oe){var se=J+oe*k;if(se>=0&&se<w){var me=p[G][ie][se][$]+f[re][oe][$];me>ee&&(ee=me,te=re,ne=oe)}}}P[te][ne][$]+=V[G][j][H][$]}var ye=d.write(S.util.toTypedArray(P,a.dtype),s.shape,s.dtype);return{dataId:ye,shape:s.shape,dtype:s.dtype}}};var T9={kernelName:S.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=i.dy,c=r,l=c.strides,u=c.pad,h=c.dilations,d=e,p=S.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=S.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=S.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",h),g=m.batchSize,y=m.inHeight,w=m.inWidth,b=m.inChannels,x=m.outHeight,L=m.outWidth,N=m.padInfo,I=m.strideHeight,C=m.strideWidth,O=m.filterHeight,D=m.filterWidth,F=m.dilationHeight,k=m.dilationWidth,B=m.outShape;S.util.assert(o.rank===B.length,function(){return"Error in "+S.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+B.length+", but got ")+(""+o.rank)});for(var V=S.util.toNestedArray(B,d.data.get(o.dataId).values),P=S.util.makeZerosNestedTypedArray(a.shape,a.dtype),G=0;G<g;++G)for(var j=0;j<x;++j)for(var q=j*I-N.top,H=0;H<L;++H)for(var J=H*C-N.left,$=0;$<b;++$){for(var ee=Number.MIN_SAFE_INTEGER,te=q<0?0:q,ne=J<0?0:J,re=0;re<O;++re){var ie=q+re*F;if(ie>=0&&ie<y)for(var oe=0;oe<D;++oe){var se=J+oe*k;if(se>=0&&se<w){var me=p[G][ie][se][$]+f[re][oe][$];me>ee&&(ee=me,te=ie,ne=se)}}}P[G][te][ne][$]+=V[G][j][H][$]}var ye=d.write(S.util.toTypedArray(P,a.dtype),a.shape,a.dtype);return{dataId:ye,shape:a.shape,dtype:a.dtype}}};var N9=Er(function(n,t){return n/t}),_9=Zi(S.Div,N9),Ud={kernelName:S.Div,backendName:"cpu",kernelFunc:_9};var C9=S.backend_util.ERF_P,R9=S.backend_util.ERF_A1,O9=S.backend_util.ERF_A2,E9=S.backend_util.ERF_A3,D9=S.backend_util.ERF_A4,k9=S.backend_util.ERF_A5,F9=je(S.Erf,function(n){var t=Math.sign(n),e=Math.abs(n),r=1/(1+C9*e);return t*(1-((((k9*r+D9)*r+E9)*r+O9)*r+R9)*r*Math.exp(-e*e))}),W9={kernelName:S.Erf,backendName:"cpu",kernelFunc:F9};function Fw(n,t,e){for(var r=n.shape,i=r[0],a=r[1],s=e.data.get(n.dataId),o=s.complexTensorInfos.real,c=s.complexTensorInfos.imag,l=[i,a],u=S.util.sizeFromShape(l),h=S.util.getTypedArrayFromDType("float32",u),d=S.util.getTypedArrayFromDType("float32",u),p=0;p<i;p++){for(var f=Dd({inputs:{x:o},backend:e,attrs:{begin:[p,0],size:[1,a]}}),m=Dd({inputs:{x:c},backend:e,attrs:{begin:[p,0],size:[1,a]}}),g=An({inputs:{real:f,imag:m},backend:e}),y=U9(g,t,e),w=y.real,b=y.imag,x=S.backend_util.mergeRealAndImagArrays(w,b),L=0;L<a;L++){var N=S.backend_util.getComplexWithIndex(x,L);h[p*a+L]=N.real,d[p*a+L]=N.imag}e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g)}var I=e.makeTensorInfo(l,"float32",h),C=e.makeTensorInfo(l,"float32",d),O=An({inputs:{real:I,imag:C},backend:e});return e.disposeIntermediateTensorInfo(I),e.disposeIntermediateTensorInfo(C),O}function U9(n,t,e){var r=S.util.sizeFromShape(n.shape),i=e.data.get(n.dataId),a=e.data.get(i.complexTensorInfos.real.dataId).values,s=e.data.get(i.complexTensorInfos.imag.dataId).values;if(B9(r)){var o=Bd(a,s,r,t,e),c=[n.shape[0],n.shape[1]];if(t){var l=e.makeTensorInfo(c,"float32",o.real),u=e.makeTensorInfo(c,"float32",o.imag),h=e.makeTensorInfo([],"float32",S.util.createScalarValue(r,"float32")),d=di({inputs:{x:h},backend:e}),p=Ud.kernelFunc({inputs:{a:l,b:h},backend:e}),f=Ud.kernelFunc({inputs:{a:u,b:d},backend:e}),m=e.data.get(p.dataId).values,g=e.data.get(f.dataId).values;return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),{real:m,imag:g}}return o}else{var y=S.backend_util.mergeRealAndImagArrays(a,s),w=z9(y,r,t);return S.backend_util.splitRealAndImagArrays(w)}}function B9(n){return(n&n-1)===0}function Bd(n,t,e,r,i){if(e===1)return{real:n,imag:t};var a=S.backend_util.mergeRealAndImagArrays(n,t),s=e/2,o=S.backend_util.complexWithEvenIndex(a),c=o.real,l=o.imag,u=[c.length],h=i.makeTensorInfo(u,"float32",c),d=i.makeTensorInfo(u,"float32",l),p=An({inputs:{real:h,imag:d},backend:i}),f=S.backend_util.complexWithOddIndex(a),m=f.real,g=f.imag,y=[m.length],w=i.makeTensorInfo(y,"float32",m),b=i.makeTensorInfo(y,"float32",g),x=An({inputs:{real:w,imag:b},backend:i}),L=Bd(c,l,s,r,i),N=L.real,I=L.imag,C=[N.length],O=i.makeTensorInfo(C,"float32",N),D=i.makeTensorInfo(C,"float32",I),F=An({inputs:{real:O,imag:D},backend:i}),k=Bd(m,g,s,r,i),B=k.real,V=k.imag,P=[B.length],G=i.makeTensorInfo(P,"float32",B),j=i.makeTensorInfo(P,"float32",V),q=An({inputs:{real:G,imag:j},backend:i}),H=S.backend_util.exponents(e,r),J=[H.real.length],$=i.makeTensorInfo(J,"float32",H.real),ee=i.makeTensorInfo(J,"float32",H.imag),te=An({inputs:{real:$,imag:ee},backend:i}),ne=ww({inputs:{a:te,b:q},backend:i}),re=ns({inputs:{a:F,b:ne},backend:i}),ie=Aw({inputs:{a:F,b:ne},backend:i}),oe=es({inputs:{input:re},backend:i}),se=es({inputs:{input:ie},backend:i}),me=Bo({inputs:{input:re},backend:i}),ye=Bo({inputs:{input:ie},backend:i}),ve=rs({inputs:[oe,se],backend:i,attrs:{axis:0}}),Ee=rs({inputs:[me,ye],backend:i,attrs:{axis:0}}),Be=i.data.get(ve.dataId).values,We=i.data.get(Ee.dataId).values;return i.disposeIntermediateTensorInfo(h),i.disposeIntermediateTensorInfo(d),i.disposeIntermediateTensorInfo(p),i.disposeIntermediateTensorInfo(w),i.disposeIntermediateTensorInfo(b),i.disposeIntermediateTensorInfo(x),i.disposeIntermediateTensorInfo(O),i.disposeIntermediateTensorInfo(D),i.disposeIntermediateTensorInfo(F),i.disposeIntermediateTensorInfo(G),i.disposeIntermediateTensorInfo(j),i.disposeIntermediateTensorInfo(q),i.disposeIntermediateTensorInfo($),i.disposeIntermediateTensorInfo(ee),i.disposeIntermediateTensorInfo(te),i.disposeIntermediateTensorInfo(ne),i.disposeIntermediateTensorInfo(re),i.disposeIntermediateTensorInfo(ie),i.disposeIntermediateTensorInfo(oe),i.disposeIntermediateTensorInfo(me),i.disposeIntermediateTensorInfo(se),i.disposeIntermediateTensorInfo(ye),i.disposeIntermediateTensorInfo(ve),i.disposeIntermediateTensorInfo(Ee),{real:Be,imag:We}}function z9(n,t,e){for(var r=new Float32Array(t*2),i=0;i<t;i++){for(var a=0,s=0,o=0;o<t;o++){var c=S.backend_util.exponent(i*o,t,e),l=S.backend_util.getComplexWithIndex(n,o);a+=l.real*c.real-l.imag*c.imag,s+=l.real*c.imag+l.imag*c.real}e&&(a/=t,s/=t),S.backend_util.assignToTypedArray(r,a,s,i)}return r}function P9(n){var t=n.inputs,e=n.backend,r=t.input,i=S.util.sizeFromShape(r.shape),a=r.shape[r.shape.length-1],s=i/a,o=Un({inputs:{x:r},backend:e,attrs:{shape:[s,a]}}),c=Fw(o,!1,e),l=Un({inputs:{x:c},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(c),l}var M9={kernelName:S.FFT,backendName:"cpu",kernelFunc:P9};function V9(n){var t=n.backend,e=n.attrs,r=e.shape,i=e.value,a=e.dtype,s=a||S.util.inferDtype(i),o=S.util.getArrayFromDType(s,S.util.sizeFromShape(r));return H9(o,i,s),t.makeTensorInfo(r,s,o)}var G9={kernelName:S.Fill,backendName:"cpu",kernelFunc:V9};function H9(n,t,e){e==="string",n.fill(t)}var q9={kernelName:S.FlipLeftRight,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,r=n.backend,i=t.image,a=r,s=S.util.getTypedArrayFromDType(i.dtype,S.util.sizeFromShape(i.shape)),o=i.shape,c=o[0],l=o[1],u=o[2],h=o[3],d=a.data.get(i.dataId).values,p=0;p<c;p++)for(var f=p*u*l*h,m=0;m<l;m++)for(var g=m*(u*h),y=0;y<u;y++)for(var w=y*h,b=0;b<h;b++){var x=[c,m,y,b],L=x[2],N=Math.round(u-L),I=f+g+w+b,C=d[I];if(N>=0&&N<u){var O=N*h,D=f+g+O+b;C=d[D]}s[I]=C}var F=a.write(s,i.shape,i.dtype);return{dataId:F,shape:i.shape,dtype:i.dtype}}};function Y9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=t.bias,o=t.preluActivationWeights,c=r.strides,l=r.pad,u=r.dataFormat,h=r.dilations,d=r.dimRoundingMode,p=r.activation,f=Dw({inputs:{x:i,filter:a},backend:e,attrs:{strides:c,pad:l,dataFormat:u,dilations:h,dimRoundingMode:d}});if(s){var m=f;f=ns({inputs:{a:f,b:s},backend:e}),e.disposeIntermediateTensorInfo(m)}if(p){var m=f;f=Fd(e,f,p,o),e.disposeIntermediateTensorInfo(m)}return f}var K9={kernelName:S.FusedConv2D,backendName:"cpu",kernelFunc:Y9};function j9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=t.bias,o=t.preluActivationWeights,c=r.strides,l=r.pad,u=r.dataFormat,h=r.dilations,d=r.dimRoundingMode,p=r.activation,f=kw({inputs:{x:i,filter:a},backend:e,attrs:{strides:c,pad:l,dataFormat:u,dilations:h,dimRoundingMode:d}});if(s){var m=f;f=ns({inputs:{a:f,b:s},backend:e}),e.disposeIntermediateTensorInfo(m)}if(p){var m=f;f=Fd(e,f,p,o),e.disposeIntermediateTensorInfo(m)}return f}var $9={kernelName:S.FusedDepthwiseConv2D,backendName:"cpu",kernelFunc:j9};function X9(n){var t=n.inputs,e=n.backend,r=t.input,i=S.util.sizeFromShape(r.shape),a=r.shape[r.shape.length-1],s=i/a,o=Un({inputs:{x:r},backend:e,attrs:{shape:[s,a]}}),c=Fw(o,!0,e),l=Un({inputs:{x:c},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(c),l}var J9={kernelName:S.IFFT,backendName:"cpu",kernelFunc:X9};var Z9=je(S.IsFinite,function(n){return Number.isFinite(n)?1:0},"bool"),Q9={kernelName:S.IsFinite,backendName:"cpu",kernelFunc:Z9};var eF=je(S.IsInf,function(n){return Math.abs(n)===Infinity?1:0},"bool"),tF={kernelName:S.IsInf,backendName:"cpu",kernelFunc:eF};var nF=je(S.IsNan,function(n){return Number.isNaN(n)?1:0},"bool"),rF={kernelName:S.IsNan,backendName:"cpu",kernelFunc:nF};var iF=je(S.Log1p,function(n){return Math.log1p(n)}),aF={kernelName:S.Log1p,backendName:"cpu",kernelFunc:iF};var sF=je(S.LogicalNot,function(n){return n?0:1},"bool"),oF={kernelName:S.LogicalNot,backendName:"cpu",kernelFunc:sF};var cF={kernelName:S.Max,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.reductionIndices,o=a.keepDims,c=r,l=i.shape,u=l.length,h=S.util.parseAxisParam(s,l),d=h,p=S.backend_util.getAxesPermutation(d,u),f=c.data.get(i.dataId).values;if(p!=null){for(var m=new Array(u),g=0;g<m.length;g++)m[g]=l[p[g]];f=kd(f,l,i.dtype,p,m),d=S.backend_util.getInnerMostAxes(d.length,u),l=m}ae(i,"max"),S.backend_util.assertAxesAreInnerMostDims("max",d,u);var y=S.backend_util.computeOutAndReduceShapes(l,d),w=y[0],b=y[1],x=S.util.sizeFromShape(b),L=yw(f,x,w,i.dtype),N=c.write(L,w,i.dtype),I=w;if(o){var m=S.backend_util.expandShapeToKeepDim(w,h);I=m}return{dataId:N,shape:I,dtype:i.dtype}}};function lF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ae(i,"maxPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=S.backend_util.computePool2DInfo(i.shape,a,s,l,o,c),h;if(u.filterWidth===1&&u.filterHeight===1&&S.util.arraysEqual(u.inShape,u.outShape))h=di({inputs:{x:i},backend:e});else{var d=e.data.get(i.dataId).values,p=S.util.computeStrides(i.shape),f=Wd(d,i.shape,i.dtype,p,u,"max");h=e.makeTensorInfo(u.outShape,i.dtype,f.values)}return h}var uF={kernelName:S.MaxPool,backendName:"cpu",kernelFunc:lF};function hF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=t.output,o=a;ae([a,s],"maxPoolBackprop");for(var c=r.filterSize,l=r.strides,u=r.pad,h=r.dimRoundingMode,d=S.backend_util.computePool2DInfo(o.shape,c,l,1,u,h),p=e.data.get(o.dataId).values,f=S.buffer(d.outShape,o.dtype,Ew(p,o.shape,o.dtype,d).values),m=d.strideHeight,g=d.strideWidth,y=d.dilationHeight,w=d.dilationWidth,b=d.effectiveFilterHeight,x=d.effectiveFilterWidth,L=x-1-d.padInfo.left,N=b-1-d.padInfo.top,I=S.buffer(o.shape,"float32"),C=e.data.get(i.dataId).values,O=S.buffer(i.shape,"float32",C),D=0;D<d.batchSize;++D)for(var F=0;F<d.inChannels;++F)for(var k=0;k<d.inHeight;++k)for(var B=0;B<d.inWidth;++B){for(var V=k-N,P=B-L,G=0,j=0;j<b;j+=y){var q=(V+j)/m;if(q<0||q>=d.outHeight||Math.floor(q)!==q)continue;for(var H=0;H<x;H+=w){var J=(P+H)/g;if(J<0||J>=d.outWidth||Math.floor(J)!==J)continue;var $=b*x-1-f.get(D,q,J,F),ee=j*x+H,te=$===ee?1:0;if(te===0)continue;var ne=O.get(D,q,J,F);G+=ne*te}}I.set(G,D,k,B,F)}return e.makeTensorInfo(I.shape,I.dtype,I.values)}var dF={kernelName:S.MaxPoolBackprop,backendName:"cpu",kernelFunc:hF};function pF(n,t,e,r,i){var a=S.util.computeStrides(t),s=Wd(n,t,e,a,i,"max"),o=Ew(n,t,e,i,!0,r);return[s.values,o.values]}var fF={kernelName:S.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.filterSize,o=a.strides,c=a.pad,l=a.includeBatchInIndex,u=r;ae(i,"MaxPoolWithArgmax");var h=u.data.get(i.dataId).values,d=S.backend_util.computePool2DInfo(i.shape,s,o,[1,1],c),p=pF(h,i.shape,i.dtype,l,d),f=p[0],m=p[1],g=u.write(f,d.outShape,i.dtype),y=u.write(m,d.outShape,i.dtype);return[{dataId:g,shape:d.outShape,dtype:i.dtype},{dataId:y,shape:d.outShape,dtype:"int32"}]}};function mF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.paddings,s=r.mode;ae(i,"mirrorPad");for(var o=a.map(function(I,C){return I[0]+i.shape[C]+I[1]}),c=a.map(function(I){return I[0]}),l=a.map(function(I,C){return I[0]+i.shape[C]}),u=s==="reflect"?0:1,h=e.data.get(i.dataId).values,d=i.shape.length,p=S.util.computeStrides(i.shape),f=S.util.sizeFromShape(o),m=o.length,g=S.util.computeStrides(o),y=S.util.getTypedArrayFromDType(i.dtype,f),w=0;w<f;w++){for(var b=S.util.indexToLoc(w,m,g),x=0;x<m;x++)b[x]<c[x]?b[x]=c[x]*2-b[x]-u:b[x]>=l[x]&&(b[x]=(l[x]-1)*2-b[x]+u);b=b.map(function(I,C){return I-c[C]});var L=S.util.locToIndex(b,d,p);y[w]=h[L]}var N=e.write(y,o,i.dtype);return{dataId:N,shape:o,dtype:i.dtype}}var gF={kernelName:S.MirrorPad,backendName:"cpu",kernelFunc:mF};var yF=S.kernel_impls.nonMaxSuppressionV4Impl,vF={kernelName:S.NonMaxSuppressionV4,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=o.padToMaxOutputSize,d=e;ae(a,"NonMaxSuppressionPadded");var p=d.data.get(a.dataId).values,f=d.data.get(s.dataId).values,m=yF(p,f,c,l,u,h),g=m.selectedIndices,y=m.validOutputs;return[g,y]}};var 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t=n.checkFramebufferStatus(n.FRAMEBUFFER);if(t!==n.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+ib(n,t))}function ib(n,t){switch(t){case n.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case n.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case n.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case n.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return"unknown error "+t}}function nr(n,t,e){var r=de(n,function(){return t()});if(r==null)throw new Error(e);return r}function Qw(n,t){var e=n.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+n.TEXTURE0;if(r<n.TEXTURE0||r>e){var i="[gl.TEXTURE0, gl.TEXTURE"+e+"]";throw new Error("textureUnit must be in "+i+".")}}function fi(n,t){return t===void 0&&(t=2),_.util.sizeFromShape(n.slice(0,n.length-t))}function mi(n){if(n.length===0)throw Error("Cannot get rows and columns of an empty shape 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Go(n){return n%2===0}function ls(n,t){if(n=n.slice(-2),t=t.slice(-2),_.util.arraysEqual(n,t))return!0;if(!n.length||!t.length)return!0;if(n[0]===0||n[1]===0||t[0]===0||t[1]===0)return!0;if(n.length!==t.length){var e=n.slice(-1)[0],r=t.slice(-1)[0];if(e===r)return!0;if(Go(e)&&Go(r)&&(n[0]===1||t[0]===1))return!0}return n[1]===t[1]&&Go(n[0])&&Go(t[0])}var qo,Yo;function sb(n){if(qo==null){var t=zn(n);qo=t.getParameter(t.MAX_TEXTURE_SIZE)}return qo}function yW(){qo=null}function vW(){Yo=null}function ob(n){if(Yo==null){var t=zn(n);Yo=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Yo)}function cb(n){if(n===0)return 0;var t,e=zn(n);return ln(e,"EXT_disjoint_timer_query_webgl2")&&n===2?t=2:ln(e,"EXT_disjoint_timer_query")?t=1:t=0,t}function ln(n,t){var e=n.getExtension(t);return e!=null}function qd(n){try{var t=zn(n);if(t!=null)return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function lb(n){if(n===0)return!1;var t=zn(n);if(n===1){if(!ln(t,"OES_texture_float"))return!1}else if(!ln(t,"EXT_color_buffer_float"))return!1;var e=Yd(t);return e}function ub(n){if(n===0)return!1;var t=zn(n);if(n===1){if(!ln(t,"OES_texture_float"))return!1;if(!ln(t,"WEBGL_color_buffer_float"))return!1}else{if(ln(t,"EXT_color_buffer_float"))return Yd(t);var e="EXT_color_buffer_half_float";if(ln(t,e)){var r=t.getExtension(e);return wW(t,r)}return!1}var i=Yd(t);return i}function Yd(n){var t=Hd(n),e=n.createTexture();n.bindTexture(n.TEXTURE_2D,e);var r=1,i=1;n.texImage2D(n.TEXTURE_2D,0,t.internalFormatFloat,r,i,0,t.textureFormatFloat,t.textureTypeFloat,null);var a=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,a),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,e,0);var s=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(e),n.deleteFramebuffer(a),s}function wW(n,t){var e=Hd(n,t),r=n.createTexture();n.bindTexture(n.TEXTURE_2D,r);var i=1,a=1;n.texImage2D(n.TEXTURE_2D,0,e.internalFormatHalfFloat,i,a,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);var s=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,s),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,r,0);var o=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(r),n.deleteFramebuffer(s),o}function hb(n){if(n!==2)return!1;var t=zn(n),e=t.fenceSync!=null;return e}function na(n,t){Array.isArray(n)||(n=[n]),n.forEach(function(e){e!=null&&_.util.assert(e.dtype!=="complex64",function(){return t+" does not support complex64 tensors in the WebGL backend."})})}var bW={__proto__:null,callAndCheck:de,canBeRepresented:Vw,getWebGLErrorMessage:Hw,getExtensionOrThrow:os,createVertexShader:Gw,createFragmentShader:qw,createProgram:Yw,linkProgram:Kw,validateProgram:Mo,createStaticVertexBuffer:jw,createStaticIndexBuffer:$w,getNumChannels:fW,createTexture:Xw,validateTextureSize:Jw,createFramebuffer:Zw,bindVertexBufferToProgramAttribute:Vd,bindTextureUnit:eb,unbindTextureUnit:mW,getProgramUniformLocationOrThrow:tb,getProgramUniformLocation:nb,bindTextureToProgramUniformSampler:rb,bindCanvasToFramebuffer:gW,bindColorTextureToFramebuffer:Ho,unbindColorTextureFromFramebuffer:Gd,validateFramebuffer:cs,getFramebufferErrorMessage:ib,getBatchDim:fi,getRowsCols:mi,getShapeAs3D:Vo,getTextureShapeFromLogicalShape:ab,isReshapeFree:ls,getWebGLMaxTextureSize:sb,resetMaxTextureSize:yW,resetMaxTexturesInShader:vW,getMaxTexturesInShader:ob,getWebGLDisjointQueryTimerVersion:cb,hasExtension:ln,isWebGLVersionEnabled:qd,isCapableOfRenderingToFloatTexture:lb,isDownloadFloatTextureEnabled:ub,isWebGLFenceEnabled:hb,assertNotComplex:na};var Se=_.env();Se.registerFlag("HAS_WEBGL",function(){return Se.getNumber("WEBGL_VERSION")>0});Se.registerFlag("WEBGL_VERSION",function(){return qd(2)?2:qd(1)?1:0});Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",function(){return!1});Se.registerFlag("WEBGL_BUFFER_SUPPORTED",function(){return Se.get("WEBGL_VERSION")===2});Se.registerFlag("WEBGL_CPU_FORWARD",function(){return!0});Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",function(){return!1});Se.registerFlag("WEBGL_PACK",function(){return Se.getBool("HAS_WEBGL")});Se.registerFlag("WEBGL_PACK_NORMALIZATION",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_CLIP",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",function(){return!1});Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_REDUCE",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_LAZILY_UNPACK",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_CONV_IM2COL",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",function(){return sb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",function(){return ob(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",function(){var n=Se.getNumber("WEBGL_VERSION");return n===0?0:cb(n)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",function(){return Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!_.device_util.isMobile()});Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",function(){return lb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",function(){return Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")});Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",function(){return ub(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_FENCE_API_ENABLED",function(){return hb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",function(){var n=Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED");return n?4:0});Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",function(){return-1},function(n){if(n<0&&n!==-1)throw new Error("WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never "+("delete) or at least 0, but got "+n+"."))});function xW(n){const t=new Float32Array(n.length);for(let e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}function Kd(n){return(t,e,r,i,a)=>{const s=_.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,c=_.util.computeStrides(s),l=_.util.sizeFromShape(s),u=_.util.getTypedArrayFromDType(a,l),h=t.length,d=e.length,p=_.util.computeStrides(t),f=_.util.computeStrides(e),m=_.backend_util.getBroadcastDims(t,s),g=_.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(let y=0;y<u.length;++y)u[y]=n(r[y%r.length],i[y%i.length]);else for(let y=0;y<u.length;++y){const w=_.util.indexToLoc(y,o,c),b=w.slice(-h);m.forEach(I=>b[I]=0);const x=_.util.locToIndex(b,h,p),L=w.slice(-d);g.forEach(I=>L[I]=0);const N=_.util.locToIndex(L,d,f);u[y]=n(r[x],i[N])}return[u,s]}}const LW=Kd((n,t)=>n+t);function ra(n){return(t,e,r)=>{const i=_.util.getTypedArrayFromDType(e,t.length);for(let a=0;a<t.length;++a)i[a]=n(t[a],r);return i}}const SW=ra(n=>Math.ceil(n));const IW=ra(n=>Math.exp(n));const AW=ra(n=>Math.expm1(n));const TW=ra(n=>Math.floor(n));const NW=ra(n=>Math.log(n));function _W(n,t,e,r){const 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p=_.util.locToIndex(d,a,c);l[p]=n[u]}return l}function kW(n,t,e,r){const i=_.util.parseAxisParam(t,e)[0],a=[1,e[0],1];for(let f=0;f<i;f++)a[0]*=e[f];a[1]=e[i];for(let f=i+1;f<e.length;f++)a[2]*=e[f];const s={},o=new Int32Array(e[i]),c=new _.TensorBuffer(a,r,n),l=[],u=a[0]===1&&a[2]===1;for(let f=0;f<e[i];f++){let m;if(u)m=n[f].toString();else{const g=[];for(let y=0;y<a[0];y++)for(let w=0;w<a[2];w++)g.push(c.get(y,f,w));m=g.join(",")}if(s[m]!==void 0)o[f]=s[m];else{const g=Object.keys(s).length;s[m]=g,o[f]=g,l.push(f)}}const h=a.slice();h[1]=Object.keys(s).length;const d=new _.TensorBuffer(h,r);l.forEach((f,m)=>{for(let g=0;g<a[0];g++)for(let y=0;y<a[2];y++)d.set(c.get(g,f,y),g,m,y)});const p=e.slice();return p[i]=h[1],{outputValues:d.values,outputShape:p,indices:o}}var FW=xW,WW=LW,UW=SW,BW=IW,zW=AW,PW=TW,MW=NW,HW=_W,VW=CW,GW=RW,qW=OW,YW=EW,jd=DW,KW=kW;var jW=function(){function n(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var r=[];this.variableNames.forEach(function(a){r.push("float v"+a+" = get"+a+"AtOutCoords();")});var i=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
void main() {
`+r.join(`
`)+`
float result = `+i+`;
setOutput(result);
}
`}return n}();var $W=function(){function n(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var r=[];this.variableNames.forEach(function(a){r.push("vec4 v"+a+" = get"+a+"AtOutCoords();")});var i=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
void main() {
`+r.join(`
`)+`
vec4 result = `+i+`;
setOutput(result);
}
`}return n}();var XW=function(){function n(t,e,r){this.variableNames=["A"];var i=t.windowSize,a=t.batchSize,s=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];var o=e==="max"?">":"<",c=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * `+i+`;
int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
for (int i = 0; i < `+i+`; i++) {
int inIdx = `+c+`;
float candidate = getA(batch, inIdx);
if (candidate `+o+` bestValue) {
bestValue = candidate;
bestIndex = inIdx;
}
}
setOutput(float(bestIndex));
}
`}return n}();function db(n,t){return["x","y","z","w","u","v"].slice(0,t).map(function(e){return n+"."+e})}function Ut(n,t){return t===1?[n]:db(n,t)}function JW(n,t){if(n===1)return"rc";for(var e="",r=0;r<n;r++)e+=t[r],r<n-1&&(e+=",");return e}function Bt(){var n,t,e,r,i,a,s,o,c,l;return _.env().getNumber("WEBGL_VERSION")===2?(n="#version 300 es",t="in",e="out",r="in",i="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)
`,c="",l=`
#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",r="varying",i="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));
}
`,c=`
uniform float INFINITY;
bool isinf(float val) {
return abs(val) == INFINITY;
}
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
}
`,l=`
int round(float value) {
return int(floor(value + 0.5));
}
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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int getFlatIndex(ivec3 coords) {
return coords.x * `+t[0]+" + coords.y * "+t[1]+` + coords.z;
}
`}var pb=`
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 fb=_.backend_util.getBroadcastDims;function sU(n,t,e,r){var i=[];n.forEach(function(f){var m=_.util.sizeFromShape(f.shapeInfo.logicalShape);f.shapeInfo.isUniform?i.push("uniform float "+f.name+(m>1?"["+m+"]":"")+";"):(i.push("uniform sampler2D "+f.name+";"),i.push("uniform int offset"+f.name+";"))});var a=i.join(`
`),s=n.map(function(f){return ZW(f,t,r)}).join(`
`),o=t.texShape,c=Bt(),l=tU(c),u,h,d=iU(c);t.isPacked?(u=QW(t.logicalShape,o),h=rU(c)):(u=eU(t.logicalShape,o),h=nU(c)),r&&(d+=aU);var p=[d,l,h,a,u,s,e].join(`
`);return p}function ia(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return oU(n);case 1:return cU(n);case 2:return lU(n);case 3:return uU(n);case 4:return hU(n);case 5:return dU(n);case 6:return pU(n);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function mb(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return fU(n);case 1:return mU(n);case 2:return gU(n);case 3:return yU(n);default:return vU(n)}}function ZW(n,t,e){e===void 0&&(e=!1);var r="";e?r+=mb(n):r+=ia(n);var i=n.shapeInfo.logicalShape,a=t.logicalShape;return i.length<=a.length&&(e?r+=wU(n,t):r+=bU(n,t)),r}function QW(n,t){switch(n.length){case 0:return gb();case 1:return xU(n,t);case 2:return IU(n,t);case 3:return LU(n,t);default:return SU(n,t)}}function eU(n,t){switch(n.length){case 0:return gb();case 1:return AU(n,t);case 2:return RU(n,t);case 3:return TU(n,t);case 4:return NU(n,t);case 5:return _U(n,t);case 6:return CU(n,t);default:throw new Error(n.length+"-D output sampling is not yet supported")}}function tU(n){return`
float sampleTexture(sampler2D textureSampler, vec2 uv) {
return `+n.texture2D+`(textureSampler, uv).r;
}
`}function nU(n){return`
void setOutput(float val) {
`+n.output+` = vec4(val, 0, 0, 0);
}
`}function rU(n){return`
void setOutput(vec4 val) {
`+n.output+` = val;
}
`}function iU(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);
}
`+OU+`
`+EU+`
`+DU+`
`;return t}var OU=`
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);
}
`,EU=`
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);
}
`,DU=`
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);
}
`,aU=`
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 gb(){return`
int getOutputCoords() {
return 0;
}
`}function xU(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 AU(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 LU(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(n[2]/2),i=r*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 / `+i+`;
index -= b * `+i+`;
int r = 2 * (index / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec3(b, r, c);
}
`}function TU(n,t){var e=gi(["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 SU(n,t){for(var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(n[n.length-1]/2),i=r*Math.ceil(n[n.length-2]/2),a=i,s="",o="b, r, c",c=2;c<n.length-1;c++)a*=n[n.length-c-1],s=`
int b`+c+" = index / "+a+`;
index -= b`+c+" * "+a+`;
`+s,o="b"+c+", "+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 / `+i+`;
index -= b * `+i+`;
int r = 2 * (index / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec`+n.length+"("+o+`);
}
`}function NU(n,t){var e=gi(["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 _U(n,t){var e=gi(["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 CU(n,t){var e=gi(["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 IU(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(_.util.arraysEqual(n,t))return`
ivec2 getOutputCoords() {
return 2 * ivec2(resultUV.yx * vec2(`+e[0]+", "+e[1]+`));
}
`;var r=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 / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec2(r, c);
}
`}function RU(n,t){return _.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 yi(n){return"offset"+n}function fU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),r=Bt();return`
vec4 `+e+`() {
return `+r.texture2D+"("+t+`, halfCR);
}
`}function oU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return"float "+e+"() {return "+t+";}";var r=n.shapeInfo.texShape,i=r[0],a=r[1];if(i===1&&a===1)return`
float `+e+`() {
return sampleTexture(`+t+`, halfCR);
}
`;var s=n.shapeInfo.texShape,o=s[0],c=s[1],l=yi(t);return`
float `+e+`() {
vec2 uv = uvFromFlat(`+o+", "+c+", "+l+`);
return sampleTexture(`+t+`, uv);
}
`}function mU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),r=n.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Bt();return`
vec4 `+e+`(int index) {
vec2 uv = packedUVfrom1D(
`+i[0]+", "+i[1]+`, index);
return `+a.texture2D+"("+t+`, uv);
}
`}function cU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return`
float `+e+`(int index) {
`+aa(n)+`
}
`;var r=n.shapeInfo.texShape,i=r[0],a=r[1];if(a===1&&i===1)return`
float `+e+`(int index) {
return sampleTexture(`+t+`, halfCR);
}
`;var s=yi(t);return a===1?`
float `+e+`(int index) {
vec2 uv = vec2(0.5, (float(index + `+s+") + 0.5) / "+i+`.0);
return sampleTexture(`+t+`, uv);
}
`:i===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(`+i+", "+a+", index + "+s+`);
return sampleTexture(`+t+`, uv);
}
`}function gU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape,a=i[0],s=i[1],o=Bt();if(i!=null&&_.util.arraysEqual(t,i))return`
vec4 `+r+`(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
return `+o.texture2D+"("+e+`, uv);
}
`;var c=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(t[1]/2);return`
vec4 `+r+`(int row, int col) {
vec2 uv = packedUVfrom2D(`+l+", "+c[0]+", "+c[1]+`, row, col);
return `+o.texture2D+"("+e+`, uv);
}
`}function lU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape;if(i!=null&&_.util.arraysEqual(t,i)){var a=i[0],s=i[1];return`
float `+r+`(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
return sampleTexture(`+e+`, uv);
}
`}var o=_.util.squeezeShape(t),c=o.newShape,l=o.keptDims,u=c;if(u.length<t.length){var h=sa(n,u),d=["row","col"];return`
`+ia(h)+`
float `+r+`(int row, int col) {
return `+r+"("+oa(d,l)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col) {
int index = round(dot(vec2(row, col), vec2(`+t[1]+`, 1)));
`+aa(n)+`
}
`;var p=i[0],f=i[1],m=yi(e);return f===1?`
float `+r+`(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 `+r+`(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 `+r+`(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 yU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape,a=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(t[0]===1){var s=t.slice(1),o=[1,2],c=sa(n,s),l=["b","row","col"];return`
`+mb(c)+`
vec4 `+r+`(int b, int row, int col) {
return `+r+"("+oa(l,o)+`);
}
`}var u=a[0],h=a[1],d=Math.ceil(t[2]/2),p=d*Math.ceil(t[1]/2),f=Bt();return`
vec4 `+r+`(int b, int row, int col) {
vec2 uv = packedUVfrom3D(
`+u+", "+h+", "+p+", "+d+`, b, row, col);
return `+f.texture2D+"("+e+`, uv);
}
`}function uU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[1]*t[2],a=t[2],s=_.util.squeezeShape(t),o=s.newShape,c=s.keptDims,l=o;if(l.length<t.length){var u=sa(n,l),h=["row","col","depth"];return`
`+ia(u)+`
float `+r+`(int row, int col, int depth) {
return `+r+"("+oa(h,c)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth) {
int index = round(dot(vec3(row, col, depth),
vec3(`+i+", "+a+`, 1)));
`+aa(n)+`
}
`;var d=n.shapeInfo.texShape,p=d[0],f=d[1],m=n.shapeInfo.flatOffset;if(f===i&&m==null)return`
float `+r+`(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 `+r+`(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=yi(e);return`
float `+r+`(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+i+" + col * "+a+" + depth + "+g+`;
vec2 uv = uvFromFlat(`+p+", "+f+`, index);
return sampleTexture(`+e+`, uv);
}
`}function vU(n){for(var t=n.shapeInfo.logicalShape,e=t.length,r=n.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=s[0],c=s[1],l=Math.ceil(t[e-1]/2),u=l*Math.ceil(t[e-2]/2),h="int b, int row, int col",d="b * "+u+" + (row / 2) * "+l+" + (col / 2)",p=2;p<e-1;p++)h="int b"+p+", "+h,u*=t[e-p-1],d="b"+p+" * "+u+" + "+d;var f=Bt();return`
vec4 `+i+"("+h+`) {
int index = `+d+`;
int texR = index / `+c+`;
int texC = index - texR * `+c+`;
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+c+", "+o+`);
return `+f.texture2D+"("+r+`, uv);
}
`}function hU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[3],a=t[2]*i,s=t[1]*a,o=_.util.squeezeShape(t),c=o.newShape,l=o.keptDims;if(c.length<t.length){var u=sa(n,c),h=["row","col","depth","depth2"];return`
`+ia(u)+`
float `+r+`(int row, int col, int depth, int depth2) {
return `+r+"("+oa(h,l)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth, int depth2) {
int index = round(dot(vec4(row, col, depth, depth2),
vec4(`+s+", "+a+", "+i+`, 1)));
`+aa(n)+`
}
`;var d=n.shapeInfo.flatOffset,p=n.shapeInfo.texShape,f=p[0],m=p[1];if(m===s&&d==null)return`
float `+r+`(int row, int col, int depth, int depth2) {
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(`+a+", "+i+`, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+m+".0, "+f+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(m===i&&d==null)return`
float `+r+`(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=yi(e);return`
float `+r+`(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 * `+i+` + depth2;
vec2 uv = uvFromFlat(`+f+", "+m+", index + "+g+`);
return sampleTexture(`+e+`, uv);
}
`}function dU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[4],a=t[3]*i,s=t[2]*a,o=t[1]*s,c=_.util.squeezeShape(t),l=c.newShape,u=c.keptDims;if(l.length<t.length){var h=sa(n,l),d=["row","col","depth","depth2","depth3"];return`
`+ia(h)+`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
return `+r+"("+oa(d,u)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
float index = dot(
vec4(row, col, depth, depth2),
vec4(`+o+", "+s+", "+a+", "+i+`)) +
depth3;
`+aa(n)+`
}
`;var p=n.shapeInfo.flatOffset,f=n.shapeInfo.texShape,m=f[0],g=f[1];if(g===o&&p==null)return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(`+s+", "+a+", "+i+`, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+g+".0, "+m+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(g===i&&p==null)return`
float `+r+`(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 y=yi(e);return`
float `+r+`(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 * `+i+" + depth3 + "+y+`;
vec2 uv = uvFromFlat(`+m+", "+g+`, index);
return sampleTexture(`+e+`, uv);
}
`}function pU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=_.util.squeezeShape(t),a=i.newShape,s=i.keptDims;if(a.length<t.length){var o=sa(n,a),c=["row","col","depth","depth2","depth3","depth4"];return`
`+ia(o)+`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
return `+r+"("+oa(c,s)+`);
}
`}var l=t[5],u=t[4]*l,h=t[3]*u,d=t[2]*h,p=t[1]*d;if(n.shapeInfo.isUniform)return`
float `+r+`(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+", "+u+`)) +
dot(
vec2(depth3, depth4),
vec2(`+l+`, 1)));
`+aa(n)+`
}
`;var f=n.shapeInfo.flatOffset,m=n.shapeInfo.texShape,g=m[0],y=m[1];if(y===p&&f==null)return`
float `+r+`(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+", "+u+", "+l+`)) +
float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+y+".0, "+g+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(y===l&&f==null)return`
float `+r+`(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(`+y+".0, "+g+`.0);
return sampleTexture(`+e+`, uv);
}
`;var w=yi(e);return`
float `+r+`(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 * `+u+" + depth3 * "+l+" + depth4 + "+w+`;
vec2 uv = uvFromFlat(`+g+", "+y+`, index);
return sampleTexture(`+e+`, uv);
}
`}function aa(n){var t=n.name,e=_.util.sizeFromShape(n.shapeInfo.logicalShape);return e<2?"return "+t+";":`
for (int i = 0; i < `+e+`; i++) {
if (i == index) {
return `+t+`[i];
}
}
`}function wU(n,t){var e=n.name,r=e.charAt(0).toUpperCase()+e.slice(1),i="get"+r+"AtOutCoords",a=n.shapeInfo.logicalShape.length,s=t.logicalShape.length,o=fb(n.shapeInfo.logicalShape,t.logicalShape),c=Qe(s),l=s-a,u,h=["x","y","z","w","u","v"];a===0?u="":s<2&&o.length>=1?u="coords = 0;":u=o.map(function(x){return"coords."+h[x+l]+" = 0;"}).join(`
`);var d="";s<2&&a>0?d="coords":d=n.shapeInfo.logicalShape.map(function(x,L){return"coords."+h[L+l]}).join(", ");var p="return outputValue;",f=_.util.sizeFromShape(n.shapeInfo.logicalShape),m=f===1,g=_.util.sizeFromShape(t.logicalShape),y=g===1;if(a===1&&!m&&!y)p=`
return vec4(outputValue.xy, outputValue.xy);
`;else if(m&&!y)s===1?p=`
return vec4(outputValue.x, outputValue.x, 0., 0.);
`:p=`
return vec4(outputValue.x);
`;else if(o.length){var w=a-2,b=a-1;o.indexOf(w)>-1&&o.indexOf(b)>-1?p="return vec4(outputValue.x);":o.indexOf(w)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(b)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return`
vec4 `+i+`() {
`+c+` coords = getOutputCoords();
`+u+`
vec4 outputValue = get`+r+"("+d+`);
`+p+`
}
`}function bU(n,t){var e=n.name,r=e.charAt(0).toUpperCase()+e.slice(1),i="get"+r+"AtOutCoords",a=t.texShape,s=n.shapeInfo.texShape,o=n.shapeInfo.logicalShape.length,c=t.logicalShape.length;if(!n.shapeInfo.isUniform&&o===c&&n.shapeInfo.flatOffset==null&&_.util.arraysEqual(s,a))return`
float `+i+`() {
return sampleTexture(`+e+`, resultUV);
}
`;var l=Qe(c),u=fb(n.shapeInfo.logicalShape,t.logicalShape),h=c-o,d,p=["x","y","z","w","u","v"];o===0?d="":c<2&&u.length>=1?d="coords = 0;":d=u.map(function(m){return"coords."+p[m+h]+" = 0;"}).join(`
`);var f="";return c<2&&o>0?f="coords":f=n.shapeInfo.logicalShape.map(function(m,g){return"coords."+p[g+h]}).join(", "),`
float `+i+`() {
`+l+` coords = getOutputCoords();
`+d+`
return get`+r+"("+f+`);
}
`}function Qe(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 sa(n,t){var e=JSON.parse(JSON.stringify(n));return e.shapeInfo.logicalShape=t,e}function oa(n,t){return t.map(function(e){return n[e]}).join(", ")}var kU=function(){function n(t,e,r,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,_.util.assert(t.length>2,function(){return"Packed arg"+(r.charAt(0).toUpperCase()+r.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),i||this.variableNames.push("bestIndicesA");var o=this.outputShape,c=o.length,l=Qe(c),u=Ut("coords",c),h,d;if(s===1){d=c+1;var p=Qe(d);h=`
`+p+" sourceLocR = "+p+"("+u.join()+`, 0);
++`+u[c-1]+`;
`+p+" sourceLocG = "+p+"("+u.join()+`, 0);
++`+u[c-2]+`;
`+p+" sourceLocA = "+p+"("+u.join()+`, 0);
--`+u[c-1]+`;
`+p+" sourceLocB = "+p+"("+u.join()+`, 0);
--`+u[c-2]+";"}else d=c,h=`
`+l+` sourceLocR = coords;
++`+u[c-1]+`;
`+l+` sourceLocG = coords;
++`+u[c-2]+`;
`+l+` sourceLocA = coords;
--`+u[c-1]+`;
`+l+` sourceLocB = coords;
--`+u[c-2]+";";var f=["x","y","z","w","u","v"].slice(0,d),m="."+f[d-1],g=f.map(function(O){return"int "+O}),y=Ut("sourceLocR",d-1).concat("inIdx.r"),w=Ut("sourceLocG",d-1).concat("inIdx.g"),b=Ut("sourceLocB",d-1).concat("inIdx.b"),x=Ut("sourceLocA",d-1).concat("inIdx.a"),L=r==="max"?"greaterThan":"lessThan",N=i?"":`
inIdx = round(vec4(getBestIndicesAChannel(`+y.join()+`),
getBestIndicesAChannel(`+w.join()+`),
getBestIndicesAChannel(`+b.join()+`),
getBestIndicesAChannel(`+x.join()+")));",I=`vec4(
getAChannel(`+y.join()+`),
hasNextCol ? getAChannel(`+w.join()+`) : 0.,
hasNextRow ? getAChannel(`+b.join()+`) : 0.,
hasNextRow && hasNextCol ? getAChannel(`+x.join()+") : 0.)",C=i?"":`
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()+`));
}
`+C+`
void main() {
`+l+` coords = getOutputCoords();
bool hasNextCol = `+u[c-1]+" < "+(o[c-1]-1)+`;
bool hasNextRow = `+u[c-2]+" < "+(o[c-2]-1)+`;
`+h+`
ivec4 srcIdx = ivec4(sourceLocR`+m+", sourceLocG"+m+`,
sourceLocB`+m+", sourceLocA"+m+") * "+e+`;
ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
vec4 bestValue = `+I+`;
for (int i = 0; i < `+e+`; i++) {
inIdx = srcIdx;
`+N+`
vec4 candidate = `+I+`;
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 FU=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,o=t.dilationWidth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,u=c-1-t.padInfo.top,h=l-1-t.padInfo.left,d=1/(e*r);this.userCode=`
const ivec2 pads = ivec2(`+u+", "+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 < `+c+`;
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 < `+l+`;
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}(),WU=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,r=t.filterHeight,i=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=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,y=1/(e*r*i);this.userCode=`
const ivec3 pads = ivec3(`+f+", "+m+", "+g+`);
const float avgMultiplier = float(`+y+`);
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 += `+c+`) {
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 += `+l+`) {
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 += `+u+`) {
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 yb=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,UU=`
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;
}
`,BU=`
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);
`,zU="return float(a == b);",PU="return float(a < b);",MU="return float(a <= b);",HU="return float(a > b);",VU="return float(a >= b);",GU="return float(a >= 1.0 && b >= 1.0);",qU="return float(a >= 1.0 || b >= 1.0);",YU=yb+`
return max(a, b);
`,KU=yb+`
return min(a, b);
`,jU=`if (b == 0.0) return NAN;
return mod(a, b);`,$U="return (b >= 1.0) ? a : a * (b + 1.0);",vb="return (a < 0.) ? b * a : a;",Wt=function(){function n(t,e,r){this.variableNames=["A","B"],this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r),this.userCode=`
float binaryOperation(float a, float b) {
`+t+`
}
void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
}
`}return n}();var Ko=`
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;
`,XU=`
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);
`,JU=`
// 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));
`+Ko+`
return result;
`,wb=`
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`,ZU=`
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,QU=`
return vec4(equal(a, b));
`,eB=`
return vec4(lessThan(a, b));
`,tB=`
return vec4(lessThanEqual(a, b));
`,nB=`
return vec4(greaterThan(a, b));
`,rB=`
return vec4(greaterThanEqual(a, b));
`,iB=`
return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
`,aB=`
return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
`,sB=`
vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Ko+`
return result;
`,oB=`
vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Ko+`
return result;
`,cB=`
vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
`+Ko+`
return result;
`,rr=function(){function n(t,e,r,i){i===void 0&&(i=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r);var a=this.outputShape.length,s="";if(i)if(a===0||_.util.sizeFromShape(this.outputShape)===1)s=`
result.y = 0.;
result.z = 0.;
result.w = 0.;
`;else{var o=Qe(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 c=Ut("coords",a);s+=`
bool nextRowOutOfBounds =
(`+c[a-2]+" + 1) >= "+this.outputShape[a-2]+`;
bool nextColOutOfBounds =
(`+c[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 lB=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 r=this;return function(i,a){r.minLoc==null&&(r.minLoc=i.getUniformLocationNoThrow(a,"minVal"),r.maxLoc=i.getUniformLocationNoThrow(a,"maxVal")),i.gl.uniform1f(r.minLoc,t),i.gl.uniform1f(r.maxLoc,e)}},n}();var uB=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 r=this;return function(i,a){r.minLoc==null&&(r.minLoc=i.getUniformLocationNoThrow(a,"minVal"),r.maxLoc=i.getUniformLocationNoThrow(a,"maxVal")),i.gl.uniform1f(r.minLoc,t),i.gl.uniform1f(r.maxLoc,e)}},n}();var hB=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 dB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,r=t.strideWidth,i=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+" - "+i+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+r+" - "+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}(),pB=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=t.dataFormat==="channelsLast",o=e-1-t.padInfo.top,c=r-1-t.padInfo.left,l=s?1:2,u=s?2:3,h=s?3:1;this.userCode=`
const ivec2 pads = ivec2(`+o+", "+c+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[`+h+`];
ivec2 dyCorner = ivec2(coords[`+l+"], coords["+u+`]) - 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) / `+i+`.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 < `+r+`; 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 = `+r+` - 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}(),fB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,r=t.strideHeight,i=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 * `+r+" - "+s+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+i+" - "+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}(),mB=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,r=t.filterHeight,i=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=e-1-t.padInfo.front,l=r-1-t.padInfo.top,u=i-1-t.padInfo.left;this.userCode=`
const ivec3 pads = ivec3(`+c+", "+l+", "+u+`);
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 < `+r+`; 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 = `+r+` - 1 - wR;
for (int wC = 0; wC < `+i+`; 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 = `+i+` - 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 gB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,r=t.strideWidth,i=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+" - "+i+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+r+" - "+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}(),yB=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.top,o=r-1-t.padInfo.left,c=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) / `+i+`.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 < `+r+`; 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 = `+r+` - 1 - wC;
// TO DO: Vec4 over the channelMul
for (int dm = 0; dm < `+c+`; dm++) {
int d2 = d1 * `+c+` + dm;
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
}
`}return n}();var bb=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,s=t.padInfo.left,o=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,u=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,y=m?2:3,w=m?3:1,b="",x="";r&&(i?b=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:b=`
float activation(float x) {
`+r+`
}
`,x="result = activation(result);");var L=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+b+`
const ivec2 strides = ivec2(`+o+", "+c+`);
const ivec2 pads = ivec2(`+a+", "+s+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d2 = coords[`+w+`];
ivec2 xRCCorner =
ivec2(coords[`+g+"], coords["+y+`]) * 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 * `+l+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+d+`; wC++) {
int xC = xCCorner + wC * `+u+`;
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+`
`+x+`
setOutput(result);
}
`}return n}(),vB=function(){function n(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,r=t.padInfo.top,i=t.padInfo.left,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=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+", "+r+", "+i+`);
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 * `+c+`;
if (xF < 0 || xF >= `+t.inDepth+`) {
continue;
}
for (int wR = 0; wR < `+d+`; wR++) {
int xR = xRCorner + wR * `+l+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+p+`; wC++) {
int xC = xCCorner + wC * `+u+`;
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 xb=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,c=t.padInfo.left,l=t.strideHeight,u=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=t.outChannels/t.inChannels,g="",y="";r&&(i?g=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:g=`
float activation(float x) {
`+r+`
}
`,y="result = activation(result);");var w=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+g+`
const ivec2 strides = ivec2(`+l+", "+u+`);
const ivec2 pads = ivec2(`+o+", "+c+`);
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;
`+w+`
`+y+`
setOutput(result);
}
`}return n}();var Lb=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!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,c=t.padInfo.left,l=t.strideHeight,u=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=f,g="int xR; int xC; int xCOffset;",y=0;y<p;y++)for(var w=0;w<f;w++)g+=`
vec4 xTexelR`+y+"C"+w*2+` = vec4(0.);
vec4 wR`+y+"C"+w+` = vec4(0.);
vec4 xR`+y+"C"+w+" = vec4(0.);";for(var y=0;y<p;y++)for(var b=0;b<m;b++){var w=b*2;if(g+=`
xR = xRCorner + `+y*h+`;
xC = xCCorner + `+w*d+`;
`,u===1){if(w<f&&(c%2===1?g+=`
xCOffset = xC + 1;
if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if(xCOffset + 1 >= `+s+`) {
xTexelR`+y+"C"+w+`.zw = vec2(0.);
}
} else {
xTexelR`+y+"C"+w+` = 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`+y+"C"+w+" = vec4(previous.zw, xTexelR"+y+"C"+w+`.xy);
} else {
xR`+y+"C"+w+" = vec4(0, 0, xTexelR"+y+"C"+w+`.xy);
}
`:g+=`
if(xR >= 0 && xR < `+a+" && xC >= 0 && xC < "+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xC, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
xR`+y+"C"+w+" = xTexelR"+y+"C"+w+`;
`,w+1<f)){var x=c%2===0?_.util.nearestLargerEven(d):d;d%2===0&&c%2===1||d%2!==0&&c%2!==1?(g+=`
xCOffset = xC + `+c%2+" + "+x+`;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
}
`,d>1&&(g+=`
xCOffset -= 2;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
`),g+=`
xR`+y+"C"+(w+1)+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.xy);
`):g+=`
xCOffset = xC + `+x+`;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
}
xR`+y+"C"+(w+1)+" = xTexelR"+y+"C"+(w+2)+`;
`}}else w<f&&(g+=`
if(xR >= 0 && xR < `+a+`) {
`,c%2===1?(g+=`
xCOffset = xC + 1 - `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
if(xC + 1 >= 0 && xC + 1 < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xC + 1, d1);
} else {
xTexelR`+y+"C"+(w+2)+` = vec4(0.);
}
xR`+y+"C"+w+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.zw);
`,w+1<f&&(g+=`
vec4 final = vec4(0.);
xCOffset = xC + 1 + `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
final = getX(batch, xR, xCOffset, d1);
}
xR`+y+"C"+(w+1)+" = vec4(xTexelR"+y+"C"+(w+2)+`.xy, final.xy);
`)):(g+=`
if(xC >= 0 && xC < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xC, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
xCOffset = xC + `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+(w+2)+` = vec4(0.);
}
xR`+y+"C"+w+` = vec4(
xTexelR`+y+"C"+w+".xy, xTexelR"+y+"C"+(w+2)+`.xy);
`,w+1<f&&(g+=`
xR`+y+"C"+(w+1)+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.zw);
`)),g+="}");w<f&&(g+=`
vec4 wTexelR`+y+"C"+w+" = getW("+y+", "+w+`, d1, q);
wR`+y+"C"+w+" = vec4(wTexelR"+y+"C"+w+".xz, wTexelR"+y+"C"+w+`.xz);
`,w+1<f&&(g+=`
vec4 wTexelR`+y+"C"+(w+1)+" = getW("+y+", "+(w+1)+`, d1, q);
wR`+y+"C"+(w+1)+` =
vec4(wTexelR`+y+"C"+(w+1)+".xz, wTexelR"+y+"C"+(w+1)+".xz);"))}for(var y=0;y<p;y++)for(var w=0;w<f;w++)g+="dotProd += xR"+y+"C"+w+" * wR"+y+"C"+w+";";var L="",N="";r&&(i?L=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:L=`vec4 activation(vec4 x) {
`+r+`
}`,N="result = activation(result);");var I=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+L+`
const ivec2 strides = ivec2(`+l+", "+u+`);
const ivec2 pads = ivec2(`+o+", "+c+`);
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;
`+I+`
`+N+`
setOutput(result);
}
`}return n}();var wB=function(){function n(t,e,r,i,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var s=t[0],o=t[1],c=t[2],l=t[3],u=e[0],h=r[0],d=r[1];this.outputShape=[u,h,d,l];var p=i==="bilinear"?1:0,f=[o-1+".0",c-1+".0"],m=f[0],g=f[1],y=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],w=y[0],b=y[1],x=y[2],L=d>1?[""+(c-1)/(d-1),"(x2-x1) * width_ratio","x1*"+g+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+g],N=L[0],I=L[1],C=L[2];this.userCode=`
const float height_ratio = float(`+w+`);
const float width_ratio = float(`+N+`);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
// get image in batch index
int bInd = round(getBoxInd(b));
if(bInd < 0 || bInd >= `+s+`) {
return;
}
float height_scale = `+b+`;
float width_scale = `+I+`;
float in_y = `+x+`;
if( in_y < 0.0 || in_y > `+m+` ) {
setOutput(float(`+a+`));
return;
}
float in_x = `+C+`;
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}(),Ab=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=t;var i=t.length,a=e?"0.0":"getX("+Sb(i,"coords")+")",s=t[t.length-1],o="",c="";e?(o=r?"end != "+(s-1):"end != 0",c=r?"end + 1":"end - 1"):(o=r?"end + pow2 < "+s:"end >= pow2",c=r?"end + pow2":"end - pow2"),this.userCode=`
uniform float index;
void main() {
`+Qe(i)+` coords = getOutputCoords();
int end = `+Ib(i,"coords")+`;
float val = `+a+`;
int pow2 = int(pow(2.0, index));
if (`+o+`) {
int idx = `+c+`;
`+Ib(i,"coords")+` = idx;
val += getX(`+Sb(i,"coords")+`);
}
setOutput(val);
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(r,i){e.index==null&&(e.index=r.getUniformLocation(i,"index")),r.gl.uniform1f(e.index,t)}},n}();function Sb(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 Ib(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 bB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=is.DENSE;var e=ss(t),r=Bt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+gi(["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);
}
`+r.output+` = result;
}
`}return n}();var xB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=is.DENSE;var e=ss(t),r=Bt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+gi(["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));
}
`+r.output+` = result;
}
`}return n}();var LB=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=r,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 SB=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 IB=function(){function n(t){this.variableNames=["A"],this.outTexUsage=cn.DOWNLOAD;var e=Bt();this.outputShape=t,this.userCode=`
`+pb+`
void main() {
float x = getAAtOutCoords();
`+e.output+` = encode_float(x);
}
`}return n}();var AB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=cn.DOWNLOAD;var e=Bt();this.outputShape=t,this.userCode=`
`+pb+`
void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
`+e.output+` = encode_float(x);
}
`}return n}();var TB=function(){function n(t,e,r){r===void 0&&(r=!1),this.variableNames=["A"];var i=Bt(),a=e[0],s=e[1];this.outputShape=t;var o="result";r&&(o="floor(result * 255. + 0.5)"),this.userCode=`
`+$d(t)+`
void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / `+s+`;
int c = imod(flatIndex, `+s+`);
vec2 uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
vec4 values = `+i.texture2D+`(A, uv);
float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
} else {
result = values[3];
}
`+i.output+" = vec4("+o+`, 0., 0., 0.);
}
`}return n}();var NB=function(){function n(t,e,r){r===void 0&&(r=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var i=Bt(),a=e[0],s=e[1];this.outputShape=t;var o="",c="result";r&&(c="floor(result * 255. + 0.5)");for(var l=0;l<=1;l++)for(var u=0;u<=1;u++){var h=l*2+u;o+=`
localCoords = coords;
if(localCoords[2] + `+u+" < "+t[2]+`) {
localCoords[2] += `+u+`;
if(localCoords[1] + `+l+" < "+t[1]+`) {
localCoords[1] += `+l+`;
flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
r = flatIndex / `+s+`;
c = imod(flatIndex, `+s+`);
uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
values = `+i.texture2D+`(A, uv);
if(offset == 0) {
result[`+h+`] = values[0];
} else if(offset == 1) {
result[`+h+`] = values[1];
} else if(offset == 2) {
result[`+h+`] = values[2];
} else {
result[`+h+`] = values[3];
}
}
}
`}this.userCode=`
`+$d(t)+`
void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
`+o+`
`+i.output+" = "+c+`;
}
`}return n}();var _B=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(r,i){e.valueLoc==null&&(e.valueLoc=r.getUniformLocationNoThrow(i,"value")),r.gl.uniform1f(e.valueLoc,t)}},n}();var RB=function(){function n(t,e,r){this.variableNames=["A","indices"];var i=t.slice();i[r]=e,this.outputShape=i,this.rank=i.length;var a=Qe(this.rank),s=CB(t,r);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function CB(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 r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],a=0;a<n.length;a++)a===t?i.push("int(getIndices("+r[a]+"))"):i.push(""+r[a]);return i.join()}var OB=function(){function n(t,e,r){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=r;var i=Qe(e.length),a=Qe(r.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
`+i+" strides = "+i+"("+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 Tb(n){var t=Bt(),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 Gw(n,e)}function Nb(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 jw(n,t)}function _b(n){var t=new Uint16Array([0,1,2,2,1,3]);return $w(n,t)}function us(n,t,e,r,i,a){Jw(t,e);var s=Xw(n),o=n.TEXTURE_2D;return de(n,function(){return n.bindTexture(o,s)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_MIN_FILTER,n.NEAREST)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_MAG_FILTER,n.NEAREST)}),de(n,function(){return n.texImage2D(o,0,r,t,e,0,i,a,null)}),de(n,function(){return n.bindTexture(n.TEXTURE_2D,null)}),s}function Xd(n){return n.internalFormatFloat}function Cb(n,t,e,r){var i=as(t,e),a=i[0],s=i[1];return us(n,a,s,Xd(r),r.textureFormatFloat,n.FLOAT)}function Jd(n){return n.internalFormatHalfFloat}function Rb(n,t,e,r){var i=as(t,e),a=i[0],s=i[1];return 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de(n,function(){return n.readPixels(0,0,a,s,r.downloadTextureFormat,n.UNSIGNED_BYTE,c)}),new Float32Array(c.buffer)}function Pb(n,t,e,r,i,a,s,o){var c=n,l=new Float32Array(cW(a,s));return c.bindBuffer(c.PIXEL_PACK_BUFFER,t),c.getBufferSubData(c.PIXEL_PACK_BUFFER,0,l),c.bindBuffer(c.PIXEL_PACK_BUFFER,null),l}function Mb(n,t,e){var r=new Float32Array(t*e*4);return de(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,r)}),r}var EB={__proto__:null,createVertexShader:Tb,createVertexBuffer:Nb,createIndexBuffer:_b,getInternalFormatForFloat32MatrixTexture:Xd,createFloat32MatrixTexture:Cb,getInternalFormatForFloat16MatrixTexture:Jd,createFloat16MatrixTexture:Rb,getInternalFormatForUnsignedBytesMatrixTexture:Zd,createUnsignedBytesMatrixTexture:Ob,getInternalFormatForPackedMatrixTexture:Qd,createPackedMatrixTexture:Eb,getInternalFormatForFloat16PackedMatrixTexture:ep,createFloat16PackedMatrixTexture:Db,bindVertexProgramAttributeStreams:kb,uploadDenseMatrixToTexture:Fb,uploadPixelDataToTexture:Wb,createBufferFromOutputTexture:Ub,downloadFloat32MatrixFromBuffer:Bb,downloadByteEncodedFloatMatrixFromOutputTexture:zb,downloadPackedMatrixFromBuffer:Pb,downloadMatrixFromPackedOutputTexture:Mb};var Hb=function(){function n(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=_.env().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,Mw(e,t)):this.gl=zn(e);var r="WEBGL_color_buffer_float",i="EXT_color_buffer_half_float";if(_.env().getNumber("WEBGL_VERSION")===1){var a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=os(this.gl,a),ln(this.gl,s))this.textureHalfFloatExtension=os(this.gl,s);else if(_.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(r),ln(this.gl,i))this.colorBufferHalfFloatExtension=os(this.gl,i);else if(_.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(r="EXT_color_buffer_float",ln(this.gl,r))this.colorBufferFloatExtension=this.gl.getExtension(r);else if(ln(this.gl,i))this.colorBufferHalfFloatExtension=this.gl.getExtension(i);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=Nb(this.gl),this.indexBuffer=_b(this.gl),this.framebuffer=Zw(this.gl),this.textureConfig=Hd(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(n.prototype,"debug",{get:function(){return _.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;de(e,function(){return e.finish()}),de(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),de(e,function(){return e.deleteFramebuffer(t.framebuffer)}),de(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),de(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),de(e,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0},n.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),Cb(this.gl,t,e,this.textureConfig)},n.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Rb(this.gl,t,e,this.textureConfig)},n.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Ob(this.gl,t,e,this.textureConfig)},n.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Wb(this.gl,t,e)},n.prototype.uploadDenseMatrixToTexture=function(t,e,r,i){this.throwIfDisposed(),Fb(this.gl,t,e,r,i,this.textureConfig)},n.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Db(this.gl,t,e,this.textureConfig)},n.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Eb(this.gl,t,e,this.textureConfig)},n.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Gd(this.gl,this.framebuffer),this.outputTexture=null),de(this.gl,function(){return e.gl.deleteTexture(t)})},n.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,r){var i=this;return this.downloadMatrixDriver(t,function(){return zb(i.gl,e,r,i.textureConfig)})},n.prototype.downloadPackedMatrixFromBuffer=function(t,e,r,i,a,s){return Pb(this.gl,t,e,r,i,a,s,this.textureConfig)},n.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Bb(this.gl,t,e)},n.prototype.createBufferFromTexture=function(t,e,r){this.bindTextureToFrameBuffer(t);var i=Ub(this.gl,e,r,this.textureConfig);return this.unbindTextureToFrameBuffer(),i},n.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},n.prototype.createFence=function(t){var e=this,r,i;if(_.env().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,s=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),i=function(){var o=a.clientWaitSync(s,0,0);return o===a.ALREADY_SIGNALED||o===a.CONDITION_SATISFIED},r=s}else _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(r=this.beginQuery(),this.endQuery(),i=function(){return e.isQueryAvailable(r,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):i=function(){return!0};return{query:r,isFencePassed:i}},n.prototype.downloadMatrixFromPackedTexture=function(t,e,r){var i=this;return this.downloadMatrixDriver(t,function(){return Mb(i.gl,e,r)})},n.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,r=qw(e,t),i=Tb(e),a=Yw(e);return de(e,function(){return e.attachShader(a,i)}),de(e,function(){return e.attachShader(a,r)}),Kw(e,a),this.debug&&Mo(e,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=kb(e,this.program,this.vertexBuffer)),a},n.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&de(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&&Mo(this.gl,this.program),de(this.gl,function(){return e.gl.useProgram(t)})},n.prototype.getUniformLocation=function(t,e,r){return r===void 0&&(r=!0),this.throwIfDisposed(),r?tb(this.gl,t,e):nb(this.gl,t,e)},n.prototype.getAttributeLocation=function(t,e){var r=this;return this.throwIfDisposed(),de(this.gl,function(){return r.gl.getAttribLocation(t,e)})},n.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},n.prototype.setInputMatrixTexture=function(t,e,r){this.throwIfDisposed(),this.throwIfNoProgram(),rb(this.gl,t,e,r)},n.prototype.setOutputMatrixTexture=function(t,e,r){this.setOutputMatrixTextureDriver(t,r,e)},n.prototype.setOutputPackedMatrixTexture=function(t,e,r){this.throwIfDisposed();var i=ta(e,r),a=i[0],s=i[1];this.setOutputMatrixTextureDriver(t,a,s)},n.prototype.setOutputMatrixWriteRegion=function(t,e,r,i){this.setOutputMatrixWriteRegionDriver(r,t,i,e)},n.prototype.setOutputPackedMatrixWriteRegion=function(t,e,r,i){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},n.prototype.debugValidate=function(){this.program!=null&&Mo(this.gl,this.program),cs(this.gl)},n.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),de(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},n.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),de(this.gl,function(){return t.gl.finish()})},n.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=os(this.gl,_.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(_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),r=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,r),r}var i=this.getQueryTimerExtensionWebGL1(),a=i.createQueryEXT();return i.beginQueryEXT(i.TIME_ELAPSED_EXT,a),a},n.prototype.endQuery=function(){if(_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2();t.endQuery(e.TIME_ELAPSED_EXT);return}var r=this.getQueryTimerExtensionWebGL1();r.endQueryEXT(r.TIME_ELAPSED_EXT)},n.prototype.waitForQueryAndGetTime=function(t){return zo(this,void 0,void 0,function(){var e=this;return Po(this,function(r){switch(r.label){case 0:return[4,_.util.repeatedTry(function(){return e.disposed||e.isQueryAvailable(t,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return r.sent(),[2,this.getQueryTime(t,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},n.prototype.getQueryTime=function(t,e){if(e===0)return null;if(e===2){var r=this.gl,i=r.getQueryParameter(t,r.QUERY_RESULT);return i/1e6}else{var a=this.getQueryTimerExtensionWebGL1(),i=a.getQueryObjectEXT(t,a.QUERY_RESULT_EXT);return i/1e6}},n.prototype.isQueryAvailable=function(t,e){if(e===0)return!0;if(e===2){var r=this.gl,i=this.getQueryTimerExtensionWebGL2(),a=r.getQueryParameter(t,r.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),a&&!this.disjoint}else{var i=this.getQueryTimerExtensionWebGL1(),a=i.getQueryObjectEXT(t,i.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),a&&!this.disjoint}},n.prototype.pollFence=function(t){var e=this;return new Promise(function(r){e.addItemToPoll(function(){return t.isFencePassed()},function(){return r()})})},n.prototype.pollItems=function(){for(var t=DB(this.itemsToPoll.map(function(i){return i.isDoneFn})),e=0;e<=t;++e){var r=this.itemsToPoll[e].resolveFn;r()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},n.prototype.addItemToPoll=function(t,e){var r=this;if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;_.util.repeatedTry(function(){return r.pollItems(),r.itemsToPoll.length===0})},n.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Ho(this.gl,t,this.framebuffer),this.debug&&cs(this.gl)},n.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(Ho(this.gl,this.outputTexture,this.framebuffer),this.debug&&cs(this.gl)):Gd(this.gl,this.framebuffer)},n.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var r=e();return this.unbindTextureToFrameBuffer(),r},n.prototype.setOutputMatrixTextureDriver=function(t,e,r){this.throwIfDisposed();var i=this.gl;Ho(i,t,this.framebuffer),this.debug&&cs(i),this.outputTexture=t,de(i,function(){return i.viewport(0,0,e,r)}),de(i,function(){return i.scissor(0,0,e,r)})},n.prototype.setOutputMatrixWriteRegionDriver=function(t,e,r,i){var a=this;this.throwIfDisposed(),de(this.gl,function(){return a.gl.scissor(t,e,r,i)})},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 DB(n){for(var t=0;t<n.length;++t){var e=n[t]();if(!e)break}return t-1}function kB(n,t,e,r){var i=t.userCode,a=e.map(function(g,y){var w={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&&(w.flatOffset=g.texData.slice.flatOffset),{name:t.variableNames[y],shapeInfo:w}}),s=a.map(function(g){return g.shapeInfo}),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},c=sU(a,o,i,t.packedInputs),l=n.createProgram(c),u=null,h=n.getUniformLocation(l,"NAN",!1);_.env().getNumber("WEBGL_VERSION")===1&&(u=n.getUniformLocation(l,"INFINITY",!1));for(var d={},p=0;p<t.variableNames.length;p++){var f=t.variableNames[p],m=!1;d[f]=n.getUniformLocation(l,f,m),d["offset"+f]=n.getUniformLocation(l,"offset"+f,m)}return{program:t,source:c,webGLProgram:l,uniformLocations:d,inShapeInfos:s,outShapeInfo:o,infLoc:u,nanLoc:h}}function Vb(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,r){var i=e.logicalShape,a=t[r],s=a.shape;if(!_.util.arraysEqual(i,s))throw Error("Binary was compiled with different shapes than "+("the current args. Shapes "+i+" and "+s+" must match"));if(e.isUniform&&a.isUniform)return;var o=e.texShape,c=a.isUniform?null:a.texData.texShape;if(!_.util.arraysEqual(o,c))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+o+" and "+c+" must match"))})}function FB(n,t,e,r,i){Vb(t.inShapeInfos,e),Vb([t.outShapeInfo],[r]);var a=r.texData.texture,s=r.texData.texShape;r.texData.isPacked?n.setOutputPackedMatrixTexture(a,s[0],s[1]):n.setOutputMatrixTexture(a,s[0],s[1]),n.setProgram(t.webGLProgram),_.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,c){var l=t.program.variableNames[c],u=t.uniformLocations[l],h=t.uniformLocations["offset"+l];if(u==null)return;if(o.isUniform){if(_.util.sizeFromShape(o.shape)<2)n.gl.uniform1f(u,o.uniformValues[0]);else{var d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),n.gl.uniform1fv(u,d)}return}o.texData.slice!=null&&h!=null&&n.gl.uniform1i(h,o.texData.slice.flatOffset),n.setInputMatrixTexture(o.texData.texture,u,c)}),i!=null&&i(n,t.webGLProgram),n.executeProgram()}function WB(n,t,e){var r="";t.concat(e).forEach(function(s){var o=s.texData!=null&&s.texData.slice!=null&&s.texData.slice.flatOffset>0,c=s.isUniform?"uniform":s.texData.texShape;r+=s.shape+"_"+c+"_"+o});var i=n.userCode,a=n.constructor.name;return a+="_"+r+"_"+i,a}var UB=function(){function n(t,e,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var i=r.filterWidth,a=r.inChannels,s=r.strideWidth,o=r.strideHeight,c=r.padInfo,l=r.outWidth,u=r.dilationWidth,h=r.dilationHeight,d=r.dataFormat,p=c.left,f=c.top,m=a*i,g=Bt(),y=d==="channelsLast",w=y?0:1,b=y?1:2,x="",L=0;L<=1;L++)for(var N=0;N<=1;N++)x+=`
blockIndex = rc.y + `+N+`;
pos = rc.x + `+L+`;
if(blockIndex < `+t[1]+" && pos < "+t[0]+`) {
offsetY = int(blockIndex / (`+l+")) * "+o+" - "+f+`;
d0 = offsetY + `+h+" * (pos / "+m+`);
if(d0 < `+e[w]+` && d0 >= 0) {
offsetX = int(mod(float(blockIndex), `+l+".) * "+s+". - "+p+`.);
d1 = offsetX + `+u+" * (int(mod(float(pos), "+m+".) / "+a+`.));
if(d1 < `+e[b]+` && d1 >= 0) {
ch = int(mod(float(pos), `+a+`.));
if (`+y+`) {
innerDims = vec2(d1, ch);
result[`+(L*2+N)+`] = getChannel(
getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[`+(L*2+N)+`] = getChannel(
getA(ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
void main() {
ivec2 rc = getOutputCoords();
vec4 result = vec4(0);
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
`+x+`
`+g.output+` = result;
}
`}return n}();var BB=function(){function n(t,e,r,i,a){this.variableNames=["x"],this.outputShape=[];var s=e,o=t[3]-1;this.outputShape=t;var c,l="float("+r+") + float("+i+") * sum";a===.5?c="inversesqrt("+l+")":a===1?c="1.0/("+l+")":c="exp(log("+l+") * 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 * `+c+`;
setOutput(val);
}
`}return n}();var zB=function(){function n(t,e,r,i,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=r,this.alpha=i,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(`+i+") * norm + float("+r+`);
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(`+i+`)
* 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 PB=function(){function n(t,e,r,i,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var s=e,o=t[3]-1;this.outputShape=t;var c,l="float("+r+") + float("+i+") * sum";a===.5?c="inversesqrt("+l+")":a===1?c="1.0/("+l+")":c="exp(log("+l+") * 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 * `+c+`;
setOutput(result);
}
`}return n}();var MB=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,r=t.strideWidth,i=t.dilationHeight,a=t.effectiveFilterHeight,s=t.effectiveFilterWidth,o=a-1-t.padInfo.top,c=s-1-t.padInfo.left,l=a*s-1;this.userCode=`
const ivec2 pads = ivec2(`+o+", "+c+`);
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 += `+i+`) {
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) / `+r+`.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 = `+l+` - 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}(),HB=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,r=t.strideHeight,i=t.strideWidth,a=t.dilationDepth,s=t.dilationHeight,o=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,u=t.effectiveFilterWidth,h=c-1-t.padInfo.front,d=l-1-t.padInfo.top,p=u-1-t.padInfo.left,f=c*l*u-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 < `+c+`;
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 < `+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) / `+i+`.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 * `+l+" * "+u+` +
wR * `+u+` + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
}
setOutput(dotProd);
}
`}return n}();var tp=function(){function n(t,e,r,i,a,s,o,c){i===void 0&&(i=!1),a===void 0&&(a=!1),s===void 0&&(s=!1),o===void 0&&(o=null),c===void 0&&(c=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r;var l=i?t[1]:t[2],u=Math.ceil(l/2),h=i?"i * 2, rc.y":"rc.y, i * 2",d=a?"rc.z, i * 2":"i * 2, rc.z",p=i?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";o&&(c?m=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
`+o+`
}`:m=`vec4 activation(vec4 x) {
`+o+`
}`,g="result = activation(result);");var y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),c&&this.variableNames.push("preluActivationWeights");var w="rc.x",b="rc.x";t[0]<e[0]?w="int(min(float(rc.x), "+(t[0]-1)+".))":e[0]<t[0]&&(b="int(min(float(rc.x), "+(e[0]-1)+".))"),this.userCode=`
`+m+`
const float sharedDimension = `+u+`.0;
vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
for (int i = 0; i < `+u+`; i++) {
int batchA = `+w+`;
int batchB = `+b+`;
vec4 a = getMatrixA(batchA, `+h+`);
vec4 b = getMatrixB(batchB, `+d+`);
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += (`+p[0]+" * "+f[0]+`);
result += (`+p[1]+" * "+f[1]+`);
}
return result;
}
void main() {
ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
`+y+`
`+g+`
setOutput(result);
}
`}return n}();var VB=function(){function n(t,e,r){this.variableNames=["probs"],this.outputShape=[t,r],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(r,i){e.seedLoc==null&&(e.seedLoc=r.getUniformLocation(i,"seed")),r.gl.uniform1f(e.seedLoc,t)}},n}();var GB=function(){function n(t,e,r,i){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
setOutput(mix(float(`+i+"), float("+r+`),
float(index == coords.y)));
}
`}return n}();var jB=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 r=Ut("rc",e),i=Qe(e),a=qB(e,t,r),s=YB(e,t[t.length-1],t[t.length-2],r),o=KB(t,r);this.userCode=`
void main() {
`+i+` rc = getOutputCoords();
if(`+a+`) {
setOutput(vec4(0));
} else {
`+s+`
setOutput(vec4(`+o+`));
}
}
`}}return n}();function $B(n,t){for(var e=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var a=(r===0?"r":"rp1")+", "+(i===0?"c":"cp1"),s=2;s<n;s++)a=t[t.length-1-s]+","+a;e.push(a)}return e}function qB(n,t,e){if(n===1)return"rc > "+t[0];for(var r="",i=n-2;i<n;i++)r+=e[i]+" >= "+t[i],i<n-1&&(r+="||");return r}function YB(n,t,e,r){if(n===1)return"";var i=r.slice(-2);return`
int r = `+i[0]+`;
int c = `+i[1]+`;
int rp1 = r + 1;
int cp1 = c + 1;
bool cEdge = cp1 >= `+t+`;
bool rEdge = rp1 >= `+e+`;
`}function KB(n,t){var e=n.length,r=$B(e,t);return e===1?`getA(rc),
rc + 1 >= `+n[0]+` ? 0. : getA(rc + 1),
0, 0`:"getA("+r[0]+`),
cEdge ? 0. : getA(`+r[1]+`),
rEdge ? 0. : getA(`+r[2]+`),
rEdge || cEdge ? 0. : getA(`+r[3]+")"}var XB=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=e.map(function(l,u){return l[0]+t[u]+l[1]});var i=t.length,a=Qe(i),s=e.map(function(l){return l[0]}).join(","),o=e.map(function(l,u){return l[0]+t[u]}).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,i);if(i===1){this.userCode=`
int start = `+s+`;
int end = `+o+`;
void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(float(`+r+`));
} 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(`+r+`));
} else {
`+a+` coords = outC - start;
setOutput(getX(`+c+`));
}
}
`}return n}();var JB=function(){function n(t,e,r){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(y,w){return y[0]+t[w]+y[1]});for(var i=t.length,a=Qe(i),s=e.map(function(y){return y[0]}).join(","),o=e.map(function(y,w){return y[0]+t[w]}).join(","),c=Ut("rc",i),l=Ut("source",i),u=c[i-1]+" < "+this.outputShape[i-1],h=i===1?"source":"vec2("+l.slice(-2).join()+")",d=[a+" rc = outputLoc;",c[i-1]+` += 1;
if(`+u+`) {
`,i===1?"":`}
rc = outputLoc;
`+c[i-2]+` += 1;
if(`+c[i-2]+" < "+this.outputShape[i-2]+") {",i===1?"":" "+c[i-1]+` += 1;
if(`+u+") {"],p=i===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",m=0,g=i===1?2:4;m<g;m++)f+=`
`+d[m]+`
if (`+p+`) {
result[`+m+"] = float("+r+`);
} else {
`+a+` source = rc - start;
result[`+m+"] = getChannel(getX("+l.join()+"), "+h+`);
}
`;f+=i===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 hs=function(){function n(t,e,r,i,a){if(i===void 0&&(i=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&r)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,u=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",y="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",w="0.0";if(m||(w="-1.0 / 1e-20"),r){var b=">=";this.userCode=`
const ivec2 strides = ivec2(`+o+", "+c+`);
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 += `+l+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+d+`;
wC += `+u+`) {
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 `+b+` currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = `+(i?a?g:y:"wR * "+d+" + wC")+`;
}
}
}
setOutput(float(minMaxPosition));
}
`;return}var x="max",L=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(L="avgValue / count");var N=Math.floor(s/4)*4,I=s%4,C=`
if (`+m+`) {
avgValue += dot(values, ones);
} else {
minMaxValue = `+x+`(values, minMaxValue);
}
`;this.userCode=`
const ivec2 strides = ivec2(`+o+", "+c+`);
const ivec2 pads = ivec2(`+p+", "+f+`);
const float initializationValue = `+w+`;
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(`+w+`);
float avgValue = 0.0;
count = 0.0;
for (int wR = 0; wR < `+h+`;
wR += `+l+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+N+`; wC += 4) {
int xC = xCCorner + wC * `+u+`;
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
getValue(batch, xR, xC + 2 * `+u+`, d),
getValue(batch, xR, xC + 3 * `+u+`, d)
);
`+C+`
}
int xC = xCCorner + `+N+`;
if (`+(I===1)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
`+C+`
} else if (`+(I===2)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
initializationValue,
initializationValue
);
`+C+`
} else if (`+(I===3)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
getValue(batch, xR, xC + 2 * `+u+`, d),
initializationValue
);
`+C+`
}
}
setOutput(`+L+`);
}
`}return n}(),np=function(){function n(t,e,r,i,a){if(i===void 0&&(i=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&r)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideDepth,c=t.strideHeight,l=t.strideWidth,u=t.dilationDepth,h=t.dilationHeight,d=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,w=t.padInfo.left;this.outputShape=t.outShape;var b=e==="avg",x="0.0";if(b||(x="-1.0 / 1e-20"),r){var L=">=";this.userCode=`
const ivec3 strides =
ivec3(`+o+", "+c+", "+l+`);
const ivec3 pads = ivec3(`+g+", "+y+", "+w+`);
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 += `+u+`) {
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 = `+(i?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+m+` +
wR * `+m+" + wC")+`;
}
}
}
}
setOutput(float(minMaxPosition));
}
`;return}var N="max",I=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(I="avgValue / count");var C=Math.floor(s/4)*4,O=s%4,D=`
if (`+b+`) {
avgValue += dot(values, ones);
} else {
minMaxValue = `+N+`(values, minMaxValue);
}
`;this.userCode=`
const ivec3 strides =
ivec3(`+o+", "+c+", "+l+`);
const ivec3 pads = ivec3(`+g+", "+y+", "+w+`);
const float initializationValue = `+x+`;
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(`+x+`);
float avgValue = 0.0;
count = 0.0;
for (int wD = 0; wD < `+p+`;
wD += `+u+`) {
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 < `+C+`; 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)
);
`+D+`
}
int xC = xCCorner + `+C+`;
if (`+(O===1)+`) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
`+D+`
} else if (`+(O===2)+`) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + `+d+`, ch),
initializationValue,
initializationValue
);
`+D+`
} else if (`+(O===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
);
`+D+`
}
}
setOutput(`+I+`);
}
}
`}return n}();var Gb=function(){function n(t,e){this.variableNames=["x"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[i,s];var o="0.0",c="";e==="prod"?o="1.0":e==="min"?(o="1.0 / 1e-20",c="min"):e==="max"&&(o="-1.0 / 1e-20",c="max");var l=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");var u=Math.floor(r/4)*4,h=r%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 = `+c+`(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%r>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 * `+r+`;
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 < `+u+`; 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 + `+u+`;
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(`+l+`);
}
`}return n}();var qb=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r="",i=0;i<4;i++){var a="thisRC = rc;";i%2===1&&(a+="thisRC.z += 1;"),i>1&&(a+="thisRC.y += 1;"),r+=`
`+a+`
`+(i>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[`+i+`] =
getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
`+(i>0?"}":"")+`
`}this.userCode=`
`+ZB(e)+`
`+$d(t)+`
void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0.);
ivec3 thisRC;
int rows = `+t[1]+`;
int cols = `+t[2]+`;
`+r+`
setOutput(result);
}
`}return n}();function ZB(n){var t=gi(["r","c","d"],n);return`
ivec3 inputCoordsFromReshapedOutCoords(int index) {
`+t+`
return ivec3(r, c, d);
}
`}var QB=function(){function n(t,e,r){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var i=e.shape,a=i[1],s=i[2],o=t.shape,c=o[1],l=o[2],u=[r&&c>1?a-1:a,r&&l>1?s-1:s],h=[r&&c>1?c-1:c,r&&l>1?l-1:l],d=u[0]/h[0],p=u[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,y=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(`+y+`);
// 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 >= `+c+`) {
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 >= `+l+`) {
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 ez=function(){function n(t,e,r,i){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r];this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
`+l[0]/u[0]+`,
`+l[1]/u[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 tz=function(){function n(t,e,r,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r];this.userCode=`
const vec3 effectiveInputOverOutputRatioRC = vec3(
`+l[0]/u[0]+`,
`+l[1]/u[1]+`,
`+l[1]/u[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 < `+(c-1)+`;
bool hasNextRow = coords.z < `+(r-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 nz=function(){function n(t,e,r){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var i=e.shape,a=i[1],s=i[2],o=t.shape,c=o[1],l=o[2],u=[r&&c>1?a-1:a,r&&l>1?s-1:s],h=[r&&c>1?c-1:c,r&&l>1?l-1:l],d=u[0]/h[0],p=u[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,y=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(`+y+`);
// 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 >= `+c+`) {
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 >= `+l+`) {
continue;
}
float sourceFracRow =
float(`+u[0]+`) *
(float(dyR) / float(`+h[0]+`));
float sourceFracCol =
float(`+u[1]+`) *
(float(dyC) / float(`+h[1]+`));
int sourceNearestRow = int(min(
float(int(`+a+`) - 1),
`+r+` ? float(round(sourceFracRow)) :
float(floor(sourceFracRow))));
int sourceNearestCol = int(min(
float(int(`+s+`) - 1),
`+r+` ? 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 rz=function(){function n(t,e,r,i){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r],h=i?"0.5":"0.0";this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
`+l[0]/u[0]+`,
`+l[1]/u[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 iz=function(){function n(t,e){this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-"+r+" tensor is not yet supported");if(this.outputShape=t,r===1){this.userCode=`
void main() {
int coord = getOutputCoords();
setOutput(getX(`+t[0]+` - coord - 1));
}
`;return}var i=function(o){return e.indexOf(o)!==-1&&t[o]!==1?t[o]+" - coords["+o+"] - 1":"coords["+o+"]"},a=t.map(function(o,c){return i(c)}).join(","),s=Qe(r);this.userCode=`
void main() {
`+s+` coords = getOutputCoords();
setOutput(getX(`+a+`));
}
`}return n}();var az=function(){function n(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-"+r+" tensor is not yet supported");this.outputShape=t;var i=Ut("rc",r),a=i[r-1]+" + 1 < "+this.outputShape[r-1],s=i[r-2]+" + 1 < "+this.outputShape[r-2],o=Qe(r);r===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 = `+c(i.slice())+`;
if(`+a+`){
result.g = `+l(i.slice())+`;
}
if(`+s+`) {
result.b = `+u(i.slice())+`;
if(`+a+`) {
result.a = `+h(i.slice())+`;
}
}
setOutput(result);
}
`;function c(f){return d(f)}function l(f){return f[r-1]="("+f[r-1]+" + 1)",d(f)}function u(f){return f[r-2]="("+f[r-2]+" + 1)",d(f)}function h(f){return f[r-1]="("+f[r-1]+" + 1)",f[r-2]="("+f[r-2]+" + 1)",d(f)}function d(f){var m=t.map(function(w,b){return p(b,f)}),g=m.join(","),y=m.slice(-2).join(",");return"getChannel(getX("+g+"), vec2("+y+"))"}function p(f,m){return e.indexOf(f)!==-1&&t[f]!==1?t[f]+" - "+m[f]+" - 1":""+m[f]}}return n}();var Yb=function(){function n(t,e,r,i,a,s,o){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;var c=Qe(a.length),l=Qe(s.length),u="";r===1?u="i":r===2&&(u="i, j");var h="getIndices("+u+")",d="";i===1?d="i":i===2&&(d="i, coords[1]");var p="getUpdates("+d+")",f=e>1?"strides[j]":"strides";this.userCode=`
`+c+" strides = "+c+"("+a+`);
void main() {
`+l+` 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 sz=function(){function n(t,e){this.variableNames=["x","segmentIds"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.numSegments,o=s*Math.ceil(a/r);this.outputShape=[i,o];var c="0.0",l="sumValue",u=Math.floor(r/4)*4,h=r%4,d=`
sumValue += dot(values, segFilter);
`,p="";a%r>0&&(p=`
if (inIdx < 0 || inIdx >= `+a+`) {
return initializationValue;
}
`);var f="";a%r>0&&(f=`
if (inIdx < 0 || inIdx >= `+a+`) {
return -1.0;
}
`),this.userCode=`
const float initializationValue = `+c+`;
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("+r+`));
int currentSeg = int(mod(float(outIdx), float(`+s+`)));
float sumValue = 0.0;
for (int i = 0; i < `+u+`; 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 + `+u+`;
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(`+l+`);
}
`}return n}();var oz=function(){function n(t,e,r){this.variableNames=["c","a","b"],this.outputShape=e;var i,a;if(r>4)throw Error("Where for rank "+r+" is not yet supported");if(r===1)a="resRC",i="resRC";else{for(var s=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],c=[],l=0;l<e.length;l++)c.push(""+s[l]),l<t&&o.push(""+s[l]);i=o.join(),a=c.join()}var u=Qe(r);this.userCode=`
void main() {
`+u+` resRC = getOutputCoords();
float cVal = getC(`+i+`);
if (cVal >= 1.0) {
setOutput(getA(`+a+`));
} else {
setOutput(getB(`+a+`));
}
}
`}return n}();var lz=function(){function n(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e=Qe(this.rank),r="uniform int start["+this.rank+"];",i=cz(this.rank),a,s=t.map(function(o,c){return"sourceLoc."+rp[c]+" = start["+c+"] + coords."+rp[c]+";"});a=`
`+e+` sourceLoc;
`+e+` coords = getOutputCoords();
`+s.join(`
`)+`
`,this.userCode=`
`+r+`
void main() {
`+a+`
setOutput(getSource(`+i+`));
}
`}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(r,i){if(e.startLoc==null&&(e.startLoc=r.getUniformLocationNoThrow(i,"start"),e.startLoc==null))return;r.gl.uniform1iv(e.startLoc,t)}},n}(),rp=["x","y","z","w","u","v"];function cz(n){if(n===1)return"sourceLoc";if(n<=6)return rp.slice(0,n).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+n+" is not yet supported")}var uz=function(){function n(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Qe(this.rank),r=Ut("coords",this.rank),i=Ut("sourceLoc",this.rank),a=this.rank===1?"sourceLoc":"vec2("+i.slice(-2).join()+")",s="getChannel(getSource("+i.join()+"), "+a+")",o=`
result.x = `+s+`;
if (++`+r[this.rank-1]+" < "+t[this.rank-1]+`) {
++`+i[this.rank-1]+`;
result.y = `+s+`;
--`+i[this.rank-1]+`;
}
`,c=this.rank===1?"":`
--`+r[this.rank-1]+`;
if (++`+r[this.rank-2]+" < "+t[this.rank-2]+`) {
++`+i[this.rank-2]+`;
result.z = `+s+`;
if (++`+r[this.rank-1]+" < "+t[this.rank-1]+`) {
++`+i[this.rank-1]+`;
result.w = `+s+`;
}
}
`,l=this.rank<=4?`sourceLoc = coords +
`+e+"("+t.map(function(u,h){return"start["+h+"]"}).join()+");":t.map(function(u,h){return i[h]+" = "+r[h]+" + start["+h+"];"}).join(`
`);this.userCode=`
uniform int start[`+this.rank+`];
void main() {
`+e+` coords = getOutputCoords();
`+e+` sourceLoc;
`+l+`
vec4 result = vec4(0.);
`+o+`
`+c+`
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(r,i){if(e.startLoc==null&&(e.startLoc=r.getUniformLocationNoThrow(i,"start"),e.startLoc==null))return;r.gl.uniform1iv(e.startLoc,t)}},n}();var hz=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=r;var i=r.length,a=Qe(r.length),s=Qe(r.length),o="";if(i===1)o="coords * strides + begin";else{var c=0;o=r.map(function(l,u){return c++,r.length===1?"coords * strides["+u+"] + begin["+u+"]":"coords["+(c-1)+"] * strides["+u+"] + begin["+u+"]"}).join(",")}this.userCode=`
`+a+" begin = "+a+"("+t+`);
`+a+" strides = "+a+"("+e+`);
void main() {
`+s+` coords = getOutputCoords();
setOutput(getX(`+o+`));
}
`}return n}();var dz=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,r){var i=jb(e,r),a=$b(t,i,r);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var s=Kb(t,i,this.gpgpu.gl,this.gpgpu.textureConfig,r);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 c;return i===Dt.PACKED_2X2_FLOAT32?c=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===Dt.PACKED_2X2_FLOAT16?c=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===Dt.UNPACKED_FLOAT32?c=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===Dt.UNPACKED_FLOAT16?c=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===Dt.PACKED_4X1_UNSIGNED_BYTE&&(c=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(c),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),c},n.prototype.releaseTexture=function(t,e,r,i){if(this.freeTextures==null)return;var a=jb(r,i),s=$b(e,a,i);s in this.freeTextures||(this.freeTextures[s]=[]);var o=Kb(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,i),c=_.env().get("WEBGL_DELETE_TEXTURE_THRESHOLD");c!==-1&&this._numBytesAllocated>c?(this.gpgpu.deleteMatrixTexture(t),this._numBytesAllocated-=o):(this.freeTextures[s].push(t),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var l=this.usedTextures[s],u=l.indexOf(t);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,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(r){t.gpgpu.deleteMatrixTexture(r)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(i){t.gpgpu.deleteMatrixTexture(i)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0},n}();function pz(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 Kb(n,t,e,r,i){var a=fz(t,r),s;if(i){var o=ta(n[0],n[1]),c=o[0],l=o[1];s=c*l}else{var u=as(n[0],n[1]),h=u[0],d=u[1];s=h*d}var p=pz(e,a);return s*p}function fz(n,t){switch(n){case Dt.PACKED_2X2_FLOAT32:return Qd(t);case Dt.PACKED_2X2_FLOAT16:return ep(t);case Dt.UNPACKED_FLOAT32:return Xd(t);case Dt.UNPACKED_FLOAT16:return Jd(t);case Dt.PACKED_4X1_UNSIGNED_BYTE:return Zd(t);default:throw new Error("Unknown physical texture type "+n)}}function mz(n){return _.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?Dt.PACKED_2X2_FLOAT32:Dt.UNPACKED_FLOAT32:n?Dt.PACKED_2X2_FLOAT16:Dt.UNPACKED_FLOAT16}function jb(n,t){if(n===cn.UPLOAD)return Dt.PACKED_2X2_FLOAT32;if(n===cn.RENDER||n==null)return mz(t);if(n===cn.DOWNLOAD||n===cn.PIXELS)return Dt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+n)}function $b(n,t,e){return n[0]+"_"+n[1]+"_"+t+"_"+e}var yz=function(){function n(t,e){this.variableNames=["A"];for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[i]*e[i];this.outputShape=r,this.rank=r.length;var a=Qe(this.rank),s=gz(t);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function gz(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"],r=[],i=0;i<n.length;i++)r.push("imod("+e[i]+", "+n[i]+")");return r.join()}var De=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}(),ir="if (isnan(x)) return x;",vz="return x;",Xb="return abs(x);",Jb=ir+`
return (x < 0.0) ? 0.0 : x;
`,Zb=ir+`
return (x < 0.0) ? 0.0 : min(6.0, x);
`,Qb="return (x >= 0.0) ? x : (exp(x) - 1.0);",wz=`
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = `+_.backend_util.SELU_SCALEALPHA+`;
float scale = `+_.backend_util.SELU_SCALE+`;
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`;function bz(n){return n===void 0&&(n=0),ir+(`
return x > 0.0 ? 1.0 : float(`+n+`);
`)}var e2="return -x;",t2="return ceil(x);",n2="return floor(x);",xz=`
if (isnan(x)) { return 0.0; }
return sign(x);
`,Lz="return float(isnan(x));",Sz="return float(isinf(x));",Iz="return float(!isnan(x) && !isinf(x));",Az=`
// 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;
}
}
`,r2="return exp(x);",i2="return exp(x) - 1.0;",Tz=`if (x < 0.0) return NAN;
return log(x);`,Nz="return log(1.0 + x);",_z="return sqrt(x);",Cz="return inversesqrt(x);",Rz="return 1.0 / (1.0 + exp(-1.0 * x));",Oz=`
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;
`,Ez=ir+`
if (abs(x) > 1.) {
return NAN;
}
return asin(x);
`,Dz=ir+`
if (abs(x) > 1.) {
return NAN;
}
return acos(x);
`,kz=ir+`
return atan(x);
`,Fz=`
float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
`,Wz=`
float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
`,Uz=`
float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,Bz=ir+"return log(x + sqrt(x * x + 1.0));",zz=ir+`
if (x < 1.0) return NAN;
return log(x + sqrt(x * x - 1.0));`,Pz=ir+`
if ((x < -1.0) || (x > 1.0)) return NAN;
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Mz=`
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = `+_.backend_util.ERF_P+`;
float a1 = `+_.backend_util.ERF_A1+`;
float a2 = `+_.backend_util.ERF_A2+`;
float a3 = `+_.backend_util.ERF_A3+`;
float a4 = `+_.backend_util.ERF_A4+`;
float a5 = `+_.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));
`,Hz="return 1.0 / x;",Vz="return float(!(x >= 1.0));",jo="return x;";var Gz="return x;",qz=`
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;
`,a2=`
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;
`,s2=`
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;
`,o2=`
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;
`,ds=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 Yz=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,r=Ut("rc",e),i=Qe(e),a=JW(e,r),s=r.slice(-2),o=e<=1?"rc":"vec2("+s.join(",")+")";this.userCode=`
void main() {
`+i+` rc = getOutputCoords();
vec4 packedInput = getA(`+a+`);
setOutput(getChannel(packedInput, `+o+`));
}
`}return n}();var c2=_.backend_util.segment_util,Kz=_.kernel_impls.split,jz=_.kernel_impls.tile,$z=_.kernel_impls.topkImpl,Xz=_.kernel_impls.whereImpl,Jz=1e-7,Zz=1e-4,$o={};function Qz(n){return n in $o||($o[n]={}),$o[n]}function Xo(n,t){if(t===void 0&&(t=!1),n==="linear")return t?Gz:vz;if(n==="relu")return t?a2:Jb;if(n==="elu")return t?o2:Qb;if(n==="relu6")return t?s2:Zb;if(n==="prelu")return t?wb:vb;throw new Error("Activation "+n+" has not been implemented for the WebGL backend.")}var eP=128,tP=600;function nP(){return _.env().global.screen==null?1024:_.env().global.screen.height*_.env().global.screen.width*window.devicePixelRatio*tP/1024/1024}var l2=1e3,u2=function(n){iW(t,n);function t(e){var r=n.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.warnedAboutCPUBackend=!1,r.pendingDeletes=0,r.disposed=!1,!_.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){var i=zn(_.env().getNumber("WEBGL_VERSION"));r.binaryCache=Qz(_.env().getNumber("WEBGL_VERSION")),r.gpgpu=new Hb(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new dz(r.gpgpu),r.numMBBeforeWarning=nP(),r.texData=new _.DataStorage(r,_.engine()),r}return t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,r,i){if((_.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||_.env().getBool("DEBUG"))&&this.checkNumericalProblems(e),i==="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:r,dtype:i,values:e,usage:cn.UPLOAD,refCount:1,complexParentRefCount:0}),a},t.prototype.incRef=function(e){var r=this.texData.get(e);r.refCount++},t.prototype.decRef=function(e){if(this.texData.has(e)){var r=this.texData.get(e);r.refCount--}},t.prototype.move=function(e,r,i,a){if(_.env().getBool("DEBUG")&&this.checkNumericalProblems(r),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:i,dtype:a,values:r,usage:cn.UPLOAD,refCount:1,complexParentRefCount:0})},t.prototype.disposeIntermediateTensorInfo=function(e){var r=e.dataId;if(this.texData.has(r)){var i=this.texData.get(r);i.refCount--,i.refCount<1&&this.disposeData(r)}},t.prototype.readSync=function(e){var r=this.texData.get(e),i=r.values,a=r.dtype,s=r.complexTensorInfos,o=r.slice,c=r.shape,l=r.isPacked;if(o!=null){var u=void 0;l?u=new ds(c,jo):u=new De(c,jo);var h=this.runWebGLProgram(u,[{dataId:e,shape:c,dtype:a}],a),d=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),d}if(i!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return i;var p=this.activeTimers!=null,f;p&&(f=_.util.now());var m;if(a==="complex64"){var g=this.readSync(s.real.dataId),y=this.readSync(s.imag.dataId);m=_.backend_util.mergeRealAndImagArrays(g,y)}else m=this.getValuesFromTexture(e);return p&&(this.downloadWaitMs+=_.util.now()-f),this.convertAndCacheOnCPU(e,m)},t.prototype.read=function(e){return zo(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,x,L,N,I,C;return Po(this,function(O){switch(O.label){case 0:if(this.pendingRead.has(e))return r=this.pendingRead.get(e),[2,new Promise(function(D){return r.push(D)})];if(i=this.texData.get(e),a=i.values,s=i.shape,o=i.slice,c=i.dtype,l=i.complexTensorInfos,u=i.isPacked,o!=null)return h=void 0,u?h=new ds(s,jo):h=new De(s,jo),d=this.runWebGLProgram(h,[{dataId:e,shape:s,dtype:c}],c),p=this.read(d.dataId),this.disposeIntermediateTensorInfo(d),[2,p];if(a!=null)return[2,this.convertAndCacheOnCPU(e)];if(!_.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&_.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,c!=="complex64"&&_.env().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),g=this.texData.get(m.dataId),f=(C=this.gpgpu).createBufferFromTexture.apply(C,[g.texture].concat(ss(s)))),this.pendingRead.set(e,[]),c!=="complex64"?[4,this.gpgpu.createAndWaitForFence()]:[3,2];case 1:O.sent(),O.label=2;case 2:return c==="complex64"?[4,Promise.all([this.read(l.real.dataId),this.read(l.imag.dataId)])]:[3,4];case 3:return w=O.sent(),b=w[0],x=w[1],y=_.backend_util.mergeRealAndImagArrays(b,x),[3,5];case 4:f==null?y=this.getValuesFromTexture(e):(L=_.util.sizeFromShape(s),y=this.gpgpu.downloadFloat32MatrixFromBuffer(f,L)),O.label=5;case 5:return m!=null&&this.disposeIntermediateTensorInfo(m),N=this.convertAndCacheOnCPU(e,y),I=this.pendingRead.get(e),this.pendingRead.delete(e),I.forEach(function(D){return D(N)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,N]}})})},t.prototype.checkNumericalProblems=function(e){if(e==null)return;for(var r=0;r<e.length;r++){var i=e[r];if(!Vw(i))throw _.env().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error("The value "+i+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'"):Error("The value "+i+" cannot be represented on this device.")}},t.prototype.getValuesFromTexture=function(e){var r,i=this.texData.get(e),a=i.shape,s=i.dtype,o=i.isPacked,c=_.util.sizeFromShape(a);if(_.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var l=this.decode(e),u=this.texData.get(l.dataId),h=(r=this.gpgpu).downloadMatrixFromPackedTexture.apply(r,[u.texture].concat(ss(a))).subarray(0,c);return this.disposeIntermediateTensorInfo(l),h}var d=_.env().getBool("WEBGL_PACK")&&o===!0,p=d?Vo(a):a,f=d?new AB(p):new IB(p),m=this.runWebGLProgram(f,[{shape:p,dtype:s,dataId:e}],"float32"),g=this.texData.get(m.dataId),y=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,c);return this.disposeIntermediateTensorInfo(m),y},t.prototype.time=function(e){return zo(this,void 0,void 0,function(){var r,i,a,s,o,c,l;return Po(this,function(u){switch(u.label){case 0:return r=this.activeTimers,i=[],a=!1,this.programTimersStack==null?(this.programTimersStack=i,a=!0):this.activeTimers.push(i),this.activeTimers=i,e(),s=_.util.flatten(this.activeTimers.map(function(h){return h.query})).filter(function(h){return h!=null}),o=_.util.flatten(this.activeTimers.map(function(h){return h.name})).filter(function(h){return h!=null}),this.activeTimers=r,a&&(this.programTimersStack=null),c={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(s)]:[3,2];case 1:return l=u.sent(),c.kernelMs=_.util.sum(l),c.getExtraProfileInfo=function(){return l.map(function(h,d){return{name:o[d],ms:h}}).map(function(h){return h.name+": "+h.ms}).join(", ")},[3,3];case 2:c.kernelMs={error:"WebGL query timers are not supported in this environment."},u.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,c]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},t.prototype.startTimer=function(){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:_.util.now(),endMs:null}},t.prototype.endTimer=function(e){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=_.util.now(),e)},t.prototype.getQueryTime=function(e){return zo(this,void 0,void 0,function(){var r;return Po(this,function(i){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:(r=e,[2,r.endMs-r.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;if(this.texData.get(e).complexParentRefCount>0){this.texData.get(e).refCount--;return}this.releaseGPUData(e);var r=this.texData.get(e).complexTensorInfos;r!=null&&(this.texData.get(r.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(r.real),this.texData.get(r.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(r.imag)),this.texData.delete(e)},t.prototype.releaseGPUData=function(e){var r=this.texData.get(e),i=r.texture,a=r.dtype,s=r.texShape,o=r.usage,c=r.isPacked,l=r.slice,u=l&&l.origDataId||e,h=this.dataRefCount.get(u);h>1?this.dataRefCount.set(u,h-1):(this.dataRefCount.delete(u),i!=null&&(this.numBytesInGPU-=this.computeBytes(s,a),this.textureManager.releaseTexture(i,s,o,c)));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 _.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=_.engine().findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,r){var i=this;r===void 0&&(r=eP);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 i.texData.get(s.dataId).texture==null&&_.util.sizeFromShape(s.shape)<r})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.slice=function(e,r,i){if(this.shouldExecuteOnCPU([e])){var a=qW(this.texData.get(e.dataId).values,r,i,e.shape,e.dtype);return this.makeOutput(i,e.dtype,a)}if(_.util.sizeFromShape(i)===0)return _.tensor([],i,e.dtype);var s=this.texData.get(e.dataId).isPacked,o=_.slice_util.isSliceContinous(e.shape,r,i);if(s||!o){var c=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new uz(i):new lz(i),l=c.getCustomSetupFunc(r);return this.compileAndRun(c,[e],null,l)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,r,i)},t.prototype.shallowSlice=function(e,r,i){var a=this.texData.get(e.dataId),s=this.makeOutput(i,e.dtype),o=this.texData.get(s.dataId);Object.assign(o,a),o.shape=i,o.dtype=e.dtype;var c=_.slice_util.computeFlatOffset(r,e.strides);a.slice&&(c+=a.slice.flatOffset),o.slice={flatOffset:c,origDataId:a.slice&&a.slice.origDataId||e.dataId};var l=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,l+1),s},t.prototype.stridedSlice=function(e,r,i,a){var s=this,o=this.tryRunOnCpuOrThrow([e],function(){return s.cpuBackend.stridedSlice(e,r,i,a)});if(o)return o;var c=_.slice_util.computeOutShape(r,i,a);if(c.some(function(u){return u===0}))return _.tensor([],c);var l=new hz(r,a,c);return this.compileAndRun(l,[e])},t.prototype.reverse=function(e,r){var i=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new az(e.shape,r):new iz(e.shape,r);return this.compileAndRun(i,[e])},t.prototype.neg=function(e){var r=this,i=this.tryRunOnCpuOrThrow([e],function(){return r.cpuBackend.neg(e)});if(i)return i;if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,e2,e.dtype);var a=new De(e.shape,e2);return this.compileAndRun(a,[e])},t.prototype.batchMatMul=function(e,r,i,a){var s=i?e.shape[2]:e.shape[1],o=a?r.shape[1]:r.shape[2],c=i?e.shape[1]:e.shape[2],l=Math.max(e.shape[0],r.shape[0]);if((s===1||o===1)&&c>l2){i&&(e=_.transpose(e,[0,2,1])),a&&(r=_.transpose(r,[0,2,1]));var u=o===1?e:e.as3D(l,c,1),h=o===1?2:1,d=o===1?r.as3D(l,1,c):r,p=_.mul(u,d);return p.sum(h,!0)}var f=_.upcastType(e.dtype,r.dtype),m=new tp(e.shape,r.shape,[l,s,o],i,a);return this.compileAndRun(m,[e,r],f)},t.prototype.fusedBatchMatMul=function(e){var r=e.a,i=e.b,a=e.transposeA,s=e.transposeB,o=e.bias,c=e.activation,l=e.preluActivationWeights,u=a?r.shape[2]:r.shape[1],h=s?i.shape[1]:i.shape[2],d=Math.max(r.shape[0],i.shape[0]),p=_.upcastType(r.dtype,i.dtype),f=o!=null,m=l!=null,g=c?Xo(c,!0):null,y=new tp(r.shape,i.shape,[d,u,h],a,s,f,g,m),w=[r,i];return o&&w.push(o),l&&w.push(l),this.compileAndRun(y,w,p)},t.prototype.localResponseNormalization4D=function(e,r,i,a,s){var o=_.env().getBool("WEBGL_PACK_NORMALIZATION")?new PB(e.shape,r,i,a,s):new BB(e.shape,r,i,a,s);return this.compileAndRun(o,[e])},t.prototype.LRNGrad=function(e,r,i,a,s,o,c){var l=new zB(r.shape,a,s,o,c);return this.compileAndRun(l,[r,i,e])},t.prototype.tile=function(e,r){if(e.dtype==="string"){var i=this.readSync(e.dataId),a=i.map(function(c){return _.util.decodeString(c)}),s=_.buffer(e.shape,e.dtype,a);return jz(s,r)}var o=new yz(e.shape,r);return this.compileAndRun(o,[e])},t.prototype.pad=function(e,r,i){var a=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new JB(e.shape,r,i):new XB(e.shape,r,i);return this.compileAndRun(a,[e])},t.prototype.gather=function(e,r,i){var a=this,s=this.tryRunOnCpuOrThrow([e,r],function(){return a.cpuBackend.gather(e,r,i)});if(s)return s;var o=new RB(e.shape,r.size,i);return this.compileAndRun(o,[e,r])},t.prototype.batchToSpaceND=function(e,r,i){_.util.assert(e.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var a=r.reduce(function(h,d){return h*d}),s=_.backend_util.getReshaped(e.shape,r,a),o=_.backend_util.getPermuted(s.length,r.length),c=_.backend_util.getReshapedPermuted(e.shape,r,a),l=_.backend_util.getSliceBeginCoords(i,r.length),u=_.backend_util.getSliceSize(c,i,r.length);return _.transpose(e.reshape(s),o).reshape(c).slice(l,u)},t.prototype.spaceToBatchND=function(e,r,i){_.util.assert(e.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var a=r.reduce(function(p,f){return p*f}),s=[[0,0]];s.push.apply(s,i);for(var o=1+r.length;o<e.shape.length;++o)s.push([0,0]);var c=e.pad(s),l=_.backend_util.getReshaped(c.shape,r,a,!1),u=_.backend_util.getPermuted(l.length,r.length,!1),h=_.backend_util.getReshapedPermuted(c.shape,r,a,!1),d=_.transpose(c.reshape(l),u);return _.reshape(d,h)},t.prototype.reduce=function(e,r,i){var a=e.shape[0],s=e.shape[1],o=_.backend_util.computeOptimalWindowSize(s),c=Math.ceil(s/o),l={windowSize:o,inSize:s,batchSize:a,outSize:c},u=new Gb(l,r),h=this.compileAndRun(u,[e],i);return h.shape[1]===1?h:this.reduce(h,r,i)},t.prototype.argReduce=function(e,r,i){i===void 0&&(i=null);var a=e.shape[0],s=e.shape[1];i!=null&&(a=i.shape[0],s=i.shape[1]);var o=_.backend_util.computeOptimalWindowSize(s),c={windowSize:o,inSize:s,batchSize:a,outSize:Math.ceil(s/o)},l=new XW(c,r,i==null),u=[e];i!=null&&u.push(i);var h=this.compileAndRun(l,u,"int32");return h.shape[1]===1?h:this.argReduce(e,r,h)},t.prototype.argReducePacked=function(e,r,i){i===void 0&&(i=null);var a=i!=null?i.shape:e.shape,s=a[a.length-1],o=_.backend_util.computeOptimalWindowSize(s),c=new kU(a,o,r,i==null),l=i==null?[e]:[e,i],u=this.compileAndRun(c,l,"int32");return u.rank===e.rank?this.argReducePacked(e,r,u):u},t.prototype.sum=function(e,r){_.backend_util.assertAxesAreInnerMostDims("sum",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o),l=_.sumOutType(e.dtype);return this.reduce(c,"sum",l).reshape(a)},t.prototype.prod=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e],function(){return i.cpuBackend.prod(e,r)});if(a)return a;var s=_.backend_util.computeOutAndReduceShapes(e.shape,r),o=s[0],c=s[1],l=_.util.sizeFromShape(c),u=e.as2D(-1,l),h=_.sumOutType(e.dtype);return this.reduce(u,"prod",h).reshape(o)},t.prototype.unsortedSegmentSum=function(e,r,i){var a=0,s=_.backend_util.getAxesPermutation([a],e.rank),o=e;s!=null&&(o=_.transpose(e,s),a=_.backend_util.getInnerMostAxes(1,e.rank)[0]);var c=c2.computeOutShape(o.shape,a,i),l=_.util.sizeFromShape([o.shape[a]]),u=o.as2D(-1,l),h=_.sumOutType(e.dtype),d=this.segOpCompute(u,"unsortedSegmentSum",r,h,i).reshape(c);return s!=null&&(d=_.transpose(d,_.backend_util.getUndoAxesPermutation(s))),d},t.prototype.segOpCompute=function(e,r,i,a,s){var o=e.shape[0],c=e.shape[1],l=c2.segOpComputeOptimalWindowSize(c,s),u={windowSize:l,inSize:c,batchSize:o,numSegments:s},h=new sz(u,r),d=this.compileAndRun(h,[e,i],a);return d.shape[1]===s?d:(i=_.range(0,s).tile([c/l]),this.segOpCompute(d,r,i,a,s))},t.prototype.argMinMaxReduce=function(e,r,i){var a=[r];if(_.backend_util.assertAxesAreInnerMostDims("arg"+i.charAt(0).toUpperCase()+i.slice(1),a,e.rank),!_.env().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var s=_.backend_util.computeOutAndReduceShapes(e.shape,a),o=s[0],c=s[1],l=_.util.sizeFromShape(c),u=e.as2D(-1,l);return this.argReduce(u,i).reshape(o)}return this.argReducePacked(e,i)},t.prototype.argMin=function(e,r){return this.argMinMaxReduce(e,r,"min")},t.prototype.argMax=function(e,r){return this.argMinMaxReduce(e,r,"max")},t.prototype.cumsum=function(e,r,i,a){if(r!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+r));for(var s=e.shape[r],o=e,c=0;c<=Math.ceil(Math.log2(s))-1;c++){var l=new Ab(e.shape,!1,a),u=l.getCustomSetupFunc(c),h=o;o=this.compileAndRun(l,[o],o.dtype,u),h.dispose()}if(i){var l=new Ab(e.shape,i,a),h=o;o=this.compileAndRun(l,[o]),h.dispose()}return o},t.prototype.equal=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,QU,"bool");var i=new Wt(zU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.less=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.less(e,r)});if(a)return a;if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,eB,"bool");var s=new Wt(PU,e.shape,r.shape);return this.compileAndRun(s,[e,r],"bool")},t.prototype.lessEqual=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,tB,"bool");var i=new Wt(MU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.greater=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.greater(e,r)});if(a)return a;if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,nB,"bool");var s=new Wt(HU,e.shape,r.shape);return this.compileAndRun(s,[e,r],"bool")},t.prototype.greaterEqual=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,rB,"bool");var i=new Wt(VU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.logicalNot=function(e){var r=new De(e.shape,Vz);return this.compileAndRun(r,[e])},t.prototype.logicalAnd=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,iB,"bool");var i=new Wt(GU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.logicalOr=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,aB,"bool");var i=new Wt(qU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.select=function(e,r,i){var a=new oz(e.rank,r.shape,r.rank);return this.compileAndRun(a,[e,r,i],_.upcastType(r.dtype,i.dtype))},t.prototype.where=function(e){_.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var r=e.dataSync();return Xz(e.shape,r)},t.prototype.topk=function(e,r,i){var a=e.dataSync();return $z(a,e.shape,e.dtype,r,i)},t.prototype.min=function(e,r){_.backend_util.assertAxesAreInnerMostDims("min",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"min",c.dtype).reshape(a)},t.prototype.minimum=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.minimum(e,r)});if(a)return a;var s=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rr(oB,e.shape,r.shape):new Wt(KU,e.shape,r.shape);return this.compileAndRun(s,[e,r])},t.prototype.mod=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rr(cB,e.shape,r.shape):new Wt(jU,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.maximum=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.maximum(e,r)});if(a)return a;var s=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rr(sB,e.shape,r.shape):new Wt(YU,e.shape,r.shape);return this.compileAndRun(s,[e,r])},t.prototype.all=function(e,r){_.backend_util.assertAxesAreInnerMostDims("all",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"all",c.dtype).reshape(a)},t.prototype.any=function(e,r){_.backend_util.assertAxesAreInnerMostDims("any",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"any",c.dtype).reshape(a)},t.prototype.floorDiv=function(e,r){var i=UU,a="int32";if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,XU,a);var s=new Wt(i,e.shape,r.shape);return this.compileAndRun(s,[e,r],a)},t.prototype.packedUnaryOp=function(e,r,i){var a=new ds(e.shape,r);return this.compileAndRun(a,[e],i)},t.prototype.packedBinaryOp=function(e,r,i,a,s){s===void 0&&(s=!1);var o=new rr(i,e.shape,r.shape,s);return this.compileAndRun(o,[e,r],a)},t.prototype.makeComplexComponentTensorInfo=function(e,r){return{dataId:r.dataId,dtype:r.dtype,shape:e.shape}},t.prototype.addN=function(e){if(e.length===1)return e[0];if(e.length>_.env().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var r=Math.floor(e.length/2),i=this.addN(e.slice(0,r)),a=this.addN(e.slice(r));return this.addN([i,a])}var s=e.map(function(u){return u.dtype}).reduce(function(u,h){return _.upcastType(u,h)}),o=e.map(function(u){return u.shape}),c=_.env().getBool("WEBGL_PACK"),l=c?new $W(e[0].shape,o):new jW(e[0].shape,o);return this.compileAndRun(l,e,s)},t.prototype.pow=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),a=i?new rr(JU,e.shape,r.shape):new Wt(BU,e.shape,r.shape),s=_.upcastType(e.dtype,r.dtype);return this.compileAndRun(a,[e,r],s)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var r=UW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,t2,e.dtype);var i=new De(e.shape,t2);return this.compileAndRun(i,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e])){var r=PW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,n2,e.dtype);var i=new De(e.shape,n2);return this.compileAndRun(i,[e])},t.prototype.sign=function(e){var r=new De(e.shape,xz);return this.compileAndRun(r,[e])},t.prototype.isNaN=function(e){var r=new De(e.shape,Lz);return this.compileAndRun(r,[e],"bool")},t.prototype.isInf=function(e){var r=new De(e.shape,Sz);return this.compileAndRun(r,[e],"bool")},t.prototype.isFinite=function(e){var r=new De(e.shape,Iz);return this.compileAndRun(r,[e],"bool")},t.prototype.round=function(e){var r=new De(e.shape,Az);return this.compileAndRun(r,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e])){var r=BW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,r2,e.dtype);var i=new De(e.shape,r2);return this.compileAndRun(i,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var r=zW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,i2,e.dtype);var i=new De(e.shape,i2);return this.compileAndRun(i,[e])},t.prototype.softmax=function(e,r){var i=_.util.parseAxisParam([r],e.shape),a=_.max(e,i),s=_.backend_util.expandShapeToKeepDim(a.shape,i),o=_.sub(e,a.reshape(s)),c=this.exp(o),l=this.sum(c,i).reshape(s);return _.div(c,l)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e])){var r=MW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,qz,e.dtype);var i=new De(e.shape,Tz);return this.compileAndRun(i,[e])},t.prototype.log1p=function(e){var r=new De(e.shape,Nz);return this.compileAndRun(r,[e])},t.prototype.sqrt=function(e){var r=new De(e.shape,_z);return this.compileAndRun(r,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var r=GW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}var i=new De(e.shape,Cz);return this.compileAndRun(i,[e])},t.prototype.reciprocal=function(e){var r=new De(e.shape,Hz);return this.compileAndRun(r,[e])},t.prototype.relu=function(e){var r;return _.env().getBool("WEBGL_PACK")?r=new ds(e.shape,a2):r=new De(e.shape,Jb),this.compileAndRun(r,[e])},t.prototype.relu6=function(e){var r;return _.env().getBool("WEBGL_PACK")?r=new ds(e.shape,s2):r=new De(e.shape,Zb),this.compileAndRun(r,[e])},t.prototype.prelu=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rr(wb,e.shape,r.shape):new Wt(vb,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.elu=function(e){if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,o2,e.dtype);var r=new De(e.shape,Qb);return this.compileAndRun(r,[e])},t.prototype.eluDer=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rr(ZU,e.shape,r.shape):new Wt($U,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.selu=function(e){var r=new De(e.shape,wz);return this.compileAndRun(r,[e])},t.prototype.clip=function(e,r,i){var a;_.env().getBool("WEBGL_PACK_CLIP")?a=new uB(e.shape):a=new lB(e.shape);var s=a.getCustomSetupFunc(r,i);return this.compileAndRun(a,[e],null,s)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e])&&e.dtype!=="complex64"){var r=FW(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,Xb,e.dtype);var i=new De(e.shape,Xb);return this.compileAndRun(i,[e])},t.prototype.complexAbs=function(e){var r=this.texData.get(e.dataId),i=new hB(e.shape),a=[this.makeComplexComponentTensorInfo(e,r.complexTensorInfos.real),this.makeComplexComponentTensorInfo(e,r.complexTensorInfos.imag)];return this.compileAndRun(i,a)},t.prototype.sigmoid=function(e){var r=new De(e.shape,Rz);return this.compileAndRun(r,[e])},t.prototype.softplus=function(e){var r=new De(e.shape,Oz);return this.compileAndRun(r,[e])},t.prototype.asin=function(e){var r=new De(e.shape,Ez);return this.compileAndRun(r,[e])},t.prototype.acos=function(e){var r=new De(e.shape,Dz);return this.compileAndRun(r,[e])},t.prototype.atan=function(e){var r=new De(e.shape,kz);return this.compileAndRun(r,[e])},t.prototype.sinh=function(e){var r=new De(e.shape,Fz);return this.compileAndRun(r,[e])},t.prototype.cosh=function(e){var r=new De(e.shape,Wz);return this.compileAndRun(r,[e])},t.prototype.tanh=function(e){var r=new De(e.shape,Uz);return this.compileAndRun(r,[e])},t.prototype.asinh=function(e){var r=new De(e.shape,Bz);return this.compileAndRun(r,[e])},t.prototype.acosh=function(e){var r=new De(e.shape,zz);return this.compileAndRun(r,[e])},t.prototype.atanh=function(e){var r=new De(e.shape,Pz);return this.compileAndRun(r,[e])},t.prototype.erf=function(e){var r=new De(e.shape,Mz);return this.compileAndRun(r,[e])},t.prototype.step=function(e,r){var i=new De(e.shape,bz(r));return this.compileAndRun(i,[e])},t.prototype.conv2dByMatMul=function(e,r,i,a,s,o){var c=e.shape,l=this.texData.get(e.dataId),u=i.inChannels,h=c[0]*c[1]*c[2],d=i.outChannels,p=i.dataFormat==="channelsLast",f=!1,m=!1,g=(h===1||d===1)&&u>l2,y=c[2]%2!==0&&!!l.isPacked;if(g||!_.env().getBool("WEBGL_LAZILY_UNPACK")||!_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!y){var w=p?c[0]*c[1]*c[2]:c[0]*c[2]*c[3],b=_.reshape(e,[1,w,i.inChannels]),x=_.reshape(r,[1,i.inChannels,i.outChannels]),L=this.fusedBatchMatMul({a:b,b:x,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o});return _.reshape(L,i.outShape)}var N=p?c[0]*c[1]*(c[2]+1):c[0]*c[2]*(c[3]+1),I={dataId:e.dataId,shape:[1,N,i.inChannels],dtype:e.dtype},C=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,_.util.assert(ls(l.shape,I.shape),function(){return"packed reshape "+l.shape+" to "+I.shape+" isn't free"});var O=_.reshape(r,[1,i.inChannels,i.outChannels]),D=this.fusedBatchMatMul({a:I,b:O,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o}),F=this.texData.get(D.dataId);return _.util.assert(F.isPacked,function(){return"batchMatMul result is expected to be packed"}),l.shape=C,F.shape=i.outShape,_.engine().makeTensorFromDataId(D.dataId,i.outShape,D.dtype)},t.prototype.conv2dWithIm2Row=function(e,r,i,a,s,o){var c=i.filterWidth,l=i.filterHeight,u=i.inChannels,h=i.outWidth,d=i.outHeight,p=i.dataFormat,f=p==="channelsLast",m=c*l*u,g=d*h,y=[m,g],w=!0,b=!1,x=e.squeeze([0]),L=r.reshape([1,m,-1]),N=new UB(y,x.shape,i),I=this.compileAndRun(N,[x]).reshape([1,y[0],y[1]]),C=a!=null,O=o!=null,D=s?Xo(s,!0):null,F=new tp(I.shape,L.shape,[1,g,i.outChannels],w,b,C,D,O),k=[I,L];a&&k.push(a),O&&k.push(o);var B=this.compileAndRun(F,k);return f?B.reshape([1,d,h,i.outChannels]):B.reshape([1,i.outChannels,d,h])},t.prototype.fusedConv2d=function(e){var r=e.input,i=e.filter,a=e.convInfo,s=e.bias,o=e.activation,c=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(r,i,a,s,o,c);if(_.env().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)return this.conv2dWithIm2Row(r,i,a,s,o,c);var l=s!=null,u=c!=null,h=o?Xo(o,!1):null,d=new bb(a,l,h,u),p=[r,i];return s&&p.push(s),c&&p.push(c),this.compileAndRun(d,p)},t.prototype.conv2d=function(e,r,i){if(i.filterHeight===1&&i.filterWidth===1&&i.dilationHeight===1&&i.dilationWidth===1&&i.strideHeight===1&&i.strideWidth===1&&(i.padInfo.type==="SAME"||i.padInfo.type==="VALID"))return this.conv2dByMatMul(e,r,i);if(_.env().getBool("WEBGL_CONV_IM2COL")&&e.shape[0]===1)return this.conv2dWithIm2Row(e,r,i);var a=new bb(i);return this.compileAndRun(a,[e,r])},t.prototype.conv2dDerInput=function(e,r,i){var a=new pB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv2dDerFilter=function(e,r,i){var a=new dB(i);return this.compileAndRun(a,[e,r])},t.prototype.fusedDepthwiseConv2D=function(e){var r=e.input,i=e.filter,a=e.convInfo,s=e.bias,o=e.activation,c=e.preluActivationWeights,l=_.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels===1,u=o?Xo(o,l):null,h=[r,i],d=s!=null,p=c!=null;d&&h.push(s),p&&h.push(c);var f;return l?(f=new Lb(a,d,u,p),this.compileAndRun(f,h)):(f=new xb(a,d,u,p),this.compileAndRun(f,h))},t.prototype.depthwiseConv2D=function(e,r,i){var a;return _.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels===1?(a=new Lb(i),this.compileAndRun(a,[e,r])):(a=new xb(i),this.compileAndRun(a,[e,r]))},t.prototype.depthwiseConv2DDerInput=function(e,r,i){var a=new yB(i);return this.compileAndRun(a,[e,r])},t.prototype.depthwiseConv2DDerFilter=function(e,r,i){var a=new gB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3d=function(e,r,i){var a=new vB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3dDerInput=function(e,r,i){var a=new mB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3dDerFilter=function(e,r,i){var a=new fB(i);return this.compileAndRun(a,[e,r])},t.prototype.unstack=function(e,r){for(var i=e.shape[r],a=new Array(e.rank-1),s=0,o=0;o<e.rank;o++)o!==r&&(a[s++]=e.shape[o]);var c=new Array(e.rank).fill(0),l=e.shape.slice();l[r]=1;for(var u=new Array(i),o=0;o<u.length;o++)c[r]=o,u[o]=this.slice(e,c,l).reshape(a);return u},t.prototype.avgPool3d=function(e,r){var i=new np(r,"avg",!1);return this.compileAndRun(i,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,r,i){var a=new WU(i);return this.compileAndRun(a,[e],r.dtype)},t.prototype.maxPool3d=function(e,r){var i=new np(r,"max",!1);return this.compileAndRun(i,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,r,i,a){var s=!0,o=new np(a,"max",s),c=this.compileAndRun(o,[r]),l=new HB(a),u=this.compileAndRun(l,[e,c],r.dtype);return c.dispose(),u},t.prototype.resizeBilinear=function(e,r,i,a){var s=_.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new tz(e.shape,r,i,a):new ez(e.shape,r,i,a);return this.compileAndRun(s,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,r,i){var a=new QB(e,r,i);return this.compileAndRun(a,[e])},t.prototype.resizeNearestNeighbor=function(e,r,i,a){var s=new rz(e.shape,r,i,a);return this.compileAndRun(s,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,r,i){var a=new nz(e,r,i);return this.compileAndRun(a,[e])},t.prototype.multinomial=function(e,r,i,a){var s=r?e:_.softmax(e),o=s.shape[0],c=s.shape[1],l=new VB(o,c,i),u=l.getCustomSetupFunc(a);return this.compileAndRun(l,[s],"int32",u)},t.prototype.oneHot=function(e,r,i,a){var s=new GB(e.size,r,i,a);return this.compileAndRun(s,[e])},t.prototype.diag=function(e){var r=new SB(e.size);return this.compileAndRun(r,[e])},t.prototype.cropAndResize=function(e,r,i,a,s,o){var c=new wB(e.shape,r.shape,a,s,o);return this.compileAndRun(c,[e,r,i],"float32")},t.prototype.depthToSpace=function(e,r,i){_.util.assert(r>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+r});var a=e.shape[0],s=i==="NHWC"?e.shape[1]:e.shape[2],o=i==="NHWC"?e.shape[2]:e.shape[3],c=i==="NHWC"?e.shape[3]:e.shape[1],l=s*r,u=o*r,h=c/(r*r),d=i==="NHWC"?[a,l,u,h]:[a,h,l,u],p=new LB(d,r,i);return this.compileAndRun(p,[e])},t.prototype.split=function(e,r,i){return Kz(e,r,i)},t.prototype.scatterND=function(e,r,i){var a=_.backend_util.calculateShapes(r,e,i),s=a.sliceRank,o=a.numUpdates,c=a.sliceSize,l=a.strides,u=a.outputSize,h=[u/c,c],d=e.reshape([o,s]),p=r.reshape([o,c]);if(u===0)return _.backend_util.reshapeTensor(_.tensor([]),i);var f=_.scalar(0),m=new Yb(o,s,d.rank,p.rank,l,h),g=this.compileAndRun(m,[p,d,f]);return g.reshape(i)},t.prototype.sparseToDense=function(e,r,i,a){var s=_.backend_util.calculateShapes(r,e,i),o=s.sliceRank,c=s.numUpdates,l=s.strides,u=s.outputSize,h=!1,d=new Yb(c,o,e.rank,r.rank,l,[u,1],h),p=this.compileAndRun(d,[r,e,a]);return p.reshape(i)},t.prototype.gatherND=function(e,r){var i=r.shape,a=i[i.length-1],s=_.backend_util.prepareAndValidate(e,r),o=s[0],c=s[1],l=s[2],u=s[3],h=r.reshape([c,a]),d=e.reshape([e.size/l,l]),p=new OB(a,u,[c,l]),f=this.compileAndRun(p,[d,h]);return f.reshape(o)},t.prototype.fill=function(e,r,i){if(i=i||_.util.inferDtype(r),i==="string"){var a=_.util.getArrayFromDType(i,_.util.sizeFromShape(e));return a.fill(r),_.engine().makeTensor(a,e,i,this)}else{var s=new _B(e,r),o=s.getCustomSetupFunc(r);return this.compileAndRun(s,[],i,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,r,i){return _.backend_util.linspaceImpl(e,r,i)},t.prototype.makeTensorInfo=function(e,r,i){var a=this.write(i,e,r);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:r}},t.prototype.makeOutput=function(e,r,i){var a=this.makeTensorInfo(e,r,i).dataId;return _.engine().makeTensorFromDataId(a,e,r,this)},t.prototype.unpackTensor=function(e){var r=new Yz(e.shape);return this.runWebGLProgram(r,[e],e.dtype)},t.prototype.packTensor=function(e){var r=new jB(e.shape),i=!0;return this.runWebGLProgram(r,[e],e.dtype,null,i)},t.prototype.packedReshape=function(e,r){var i=[fi(e.shape)].concat(mi(e.shape)),a={dtype:e.dtype,shape:i,dataId:e.dataId},s=[fi(r)].concat(mi(r)),o=new qb(s,i),c=!0,l=this.runWebGLProgram(o,[a],e.dtype,null,c);return{dataId:l.dataId,shape:r,dtype:l.dtype}},t.prototype.decode=function(e){var r=this.texData.get(e),i=r.isPacked,a=r.shape,s=r.dtype,o=Vo(a),c;i?c=new xB(o):c=new bB(o);var l=!0,u=this.runWebGLProgram(c,[{shape:o,dtype:s,dataId:e}],s,null,l);return{dtype:s,shape:a,dataId:u.dataId}},t.prototype.runWebGLProgram=function(e,r,i,a,s){var o=this;s===void 0&&(s=!1);var c=this.makeTensorInfo(e.outputShape,i),l=this.texData.get(c.dataId);if(e.packedOutput&&(l.isPacked=!0),e.outPackingScheme===is.DENSE){var u=ss(e.outputShape);l.texShape=u.map(function(b){return b*2})}if(e.outTexUsage!=null&&(l.usage=e.outTexUsage),_.util.sizeFromShape(c.shape)===0)return l.values=_.util.getTypedArrayFromDType(c.dtype,0),c;var h=[],d=r.map(function(b){if(b.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var x=o.texData.get(b.dataId);if(x.texture==null){if(!e.packedInputs&&_.util.sizeFromShape(b.shape)<=_.env().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:b.shape,texData:null,isUniform:!0,uniformValues:x.values};e.packedInputs&&(x.isPacked=!0,x.shape=b.shape)}else if(!!x.isPacked!==!!e.packedInputs)b=x.isPacked?o.unpackTensor(b):o.packTensor(b),h.push(b),x=o.texData.get(b.dataId);else if(x.isPacked&&!ls(x.shape,b.shape)){var L=b,N=b.shape;b.shape=x.shape,b=o.packedReshape(b,N),h.push(b),x=o.texData.get(b.dataId),L.shape=N}return o.uploadToGPU(b.dataId),{shape:b.shape,texData:x,isUniform:!1}});this.uploadToGPU(c.dataId);var p={shape:c.shape,texData:l,isUniform:!1},f=WB(e,d,p),m=this.getAndSaveBinary(f,function(){return kB(o.gpgpu,e,d,p)}),g=this.activeTimers!=null,y;if(g&&(y=this.startTimer()),FB(this.gpgpu,m,d,p,a),h.forEach(function(b){return o.disposeIntermediateTensorInfo(b)}),g&&(y=this.endTimer(y),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(y)})),!_.env().getBool("WEBGL_LAZILY_UNPACK")&&l.isPacked&&s===!1){var w=this.unpackTensor(c);return this.disposeIntermediateTensorInfo(c),w}return c},t.prototype.compileAndRun=function(e,r,i,a,s){s===void 0&&(s=!1),i=i||r[0].dtype;var o=this.runWebGLProgram(e,r,i,a,s);return _.engine().makeTensorFromDataId(o.dataId,o.shape,o.dtype)},t.prototype.getAndSaveBinary=function(e,r){return e in this.binaryCache||(this.binaryCache[e]=r()),this.binaryCache[e]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){var e=this;if(this.disposed)return;if(!_.env().getBool("IS_TEST")){var r=Object.keys(this.binaryCache);r.forEach(function(i){e.gpgpu.deleteProgram(e.binaryCache[i].webGLProgram),delete e.binaryCache[i]})}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=_.tidy(function(){if(!_.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var r=_.env().getBool("DEBUG");_.env().set("DEBUG",!1);var i=e.abs(_.scalar(1e-8)).dataSync()[0];if(_.env().set("DEBUG",r),i>0)return 32}return 16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return this.floatPrecision()===32?Jz:Zz},t.prototype.uploadToGPU=function(e){var r,i=this.texData.get(e),a=i.shape,s=i.dtype,o=i.values,c=i.texture,l=i.usage,u=i.isPacked;if(c!=null)return;var h=this.activeTimers!=null,d;h&&(d=_.util.now());var p=i.texShape;if(p==null&&(p=ab(a,u),i.texShape=p),o!=null){var f=Vo(a),m=void 0,g=p[1],y=p[0],w=o instanceof Uint8Array;u?(r=ta(p[0],p[1]),g=r[0],y=r[1],m=new NB(f,[y,g],w)):m=new TB(f,[y,g],w);var b=this.makeTensorInfo([y,g],s);w?this.texData.get(b.dataId).usage=cn.PIXELS:this.texData.get(b.dataId).usage=cn.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),g,y,o);var x=!0,L=this.runWebGLProgram(m,[b],s,null,x),N=this.texData.get(L.dataId);i.texture=N.texture,i.texShape=N.texShape,i.isPacked=N.isPacked,i.usage=N.usage,this.disposeIntermediateTensorInfo(b),this.texData.delete(L.dataId),i.values=null,h&&(this.uploadWaitMs+=_.util.now()-d)}else{var I=this.acquireTexture(p,l,s,u);i.texture=I}},t.prototype.convertAndCacheOnCPU=function(e,r){var i=this.texData.get(e),a=i.dtype;return this.releaseGPUData(e),r!=null&&(i.values=rP(r,a)),i.values},t.prototype.acquireTexture=function(e,r,i,a){if(this.numBytesInGPU+=this.computeBytes(e,i),!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,r,a)},t.prototype.computeBytes=function(e,r){return e[0]*e[1]*_.util.bytesPerElement(r)},t.prototype.tryRunOnCpuOrThrow=function(e,r){if(this.shouldExecuteOnCPU(e))try{return r()}catch(i){if(_.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(_.KernelBackend);function rP(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),r=0;r<e.length;++r)e[r]=Math.round(n[r]);return e}else throw new Error("Unknown dtype "+t)}var iP="2.7.0";function h2(){_.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}_.device_util.isBrowser()&&_.registerBackend("webgl",function(){return new u2},2);var aP={forceHalfFloat:h2};function ar(n){var t=n.inputs,e=n.backend,r=t.x;return e.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var sP={kernelName:_.Identity,backendName:"webgl",kernelFunc:ar};function ca(n){var t=n.inputs,e=n.backend,r=t.real,i=t.imag,a=e.makeTensorInfo(r.shape,"complex64"),s=e.texData.get(a.dataId),o=ar({inputs:{x:r},backend:e}),c=e.texData.get(o.dataId);c.complexParentRefCount++;var l=ar({inputs:{x:i},backend:e}),u=e.texData.get(l.dataId);return u.complexParentRefCount++,s.complexTensorInfos={real:o,imag:l},a}var oP={kernelName:_.Complex,backendName:"webgl",kernelFunc:ca};var d2="if (isnan(x)) return x;",cP=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,lP=`
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 Jo(n){return function(t){var e=t.inputs,r=t.backend,i=e.x,a=r,s=new De(i.shape,n);return a.runWebGLProgram(s,[i],i.dtype)}}function la(n){var t=n.opSnippet,e=n.packedOpSnippet,r=n.checkOutOfBounds,i=r===void 0?!1:r,a=n.supportsComplex,s=a===void 0?!1:a,o=n.cpuKernelImpl,c=n.dtype;return function(l){var u=l.inputs,h=l.backend,d=u,p=d.a,f=d.b,m=h;if(s&&p.dtype==="complex64"){var g=m.texData.get(p.dataId),y=m.texData.get(f.dataId),w=[[g.complexTensorInfos.real,y.complexTensorInfos.real],[g.complexTensorInfos.imag,y.complexTensorInfos.imag]].map(function(V){var P=V[0],G=V[1],j={dataId:P.dataId,dtype:P.dtype,shape:p.shape},q={dataId:G.dataId,dtype:G.dtype,shape:f.shape},H=new Wt(t,p.shape,f.shape);return m.runWebGLProgram(H,[j,q],_.upcastType(P.dtype,G.dtype))}),b=w[0],x=w[1],L=ca({inputs:{real:b,imag:x},backend:m});return m.disposeIntermediateTensorInfo(b),m.disposeIntermediateTensorInfo(x),L}var N=c||_.upcastType(p.dtype,f.dtype);if(m.shouldExecuteOnCPU([p,f])&&o!=null){var g=m.texData.get(p.dataId),y=m.texData.get(f.dataId),I=o(p.shape,f.shape,g.values,y.values,N),C=I[0],O=I[1],D=m.makeTensorInfo(O,N),F=m.texData.get(D.dataId);return F.values=C,D}var k=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,B;return k?B=new rr(e,p.shape,f.shape,i):B=new Wt(t,p.shape,f.shape),m.runWebGLProgram(B,[p,f],N)}}var p2="return a + b;",uP=la({opSnippet:p2,packedOpSnippet:p2,supportsComplex:!0,cpuKernelImpl:WW}),hP={kernelName:_.Add,backendName:"webgl",kernelFunc:uP};var dP=cP+`
return atan(a, b);
`,pP=`
vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+lP+`
return result;
`,fP=la({opSnippet:dP,packedOpSnippet:pP}),mP={kernelName:_.Atan2,backendName:"webgl",kernelFunc:fP};function gP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;na(i,"avgPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;_.util.assert(_.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=_.backend_util.computePool2DInfo(i.shape,a,s,l,o,c);if(u.filterWidth===1&&u.filterHeight===1&&_.util.arraysEqual(u.inShape,u.outShape))return ar({inputs:{x:i},backend:e});var h=new hs(u,"avg",!1);return e.runWebGLProgram(h,[i],"float32")}var yP={kernelName:_.AvgPool,backendName:"webgl",kernelFunc:gP};function vP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=a;na([i,a],"avgPoolBackprop");var o=r.filterSize,c=r.strides,l=r.pad,u=_.backend_util.computePool2DInfo(s.shape,o,c,1,l),h=new FU(u);return e.runWebGLProgram(h,[i],s.dtype)}var wP={kernelName:_.AvgPoolBackprop,backendName:"webgl",kernelFunc:vP};var bP=function(){function n(t,e,r,i,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],_.backend_util.assertAndGetBroadcastShape(t,e),_.backend_util.assertAndGetBroadcastShape(t,r);var o="0.0";i!=null&&(_.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var c="1.0";a!=null&&(_.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
float offset = `+o+`;
float scale = `+c+`;
float inv = scale * inversesqrt(variance + float(`+s+`));
setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
`}return n}();var xP=function(){function n(t,e,r,i,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],_.backend_util.assertAndGetBroadcastShape(t,e),_.backend_util.assertAndGetBroadcastShape(t,r);var o="vec4(0.0)";i!=null&&(_.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var c="vec4(1.0)";a!=null&&(_.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
void main() {
vec4 offset = `+o+`;
vec4 scale = `+c+`;
vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
vec4 inv = scale * inversesqrt(variance + vec4(`+s+`));
setOutput((x - mean) * inv + offset);
}
`}return n}();var LP=function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.mean,s=t.variance,o=t.offset,c=t.scale;_.util.assert(a.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),_.util.assert(o==null||a.shape.length===o.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),_.util.assert(c==null||a.shape.length===c.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var l=r.varianceEpsilon;l==null&&(l=.001);var u=[i,a,s],h=null;o!=null&&(h=o.shape,u.push(o));var d=null;c!=null&&(d=c.shape,u.push(c));var p=_.env().getBool("WEBGL_PACK_NORMALIZATION")?new xP(i.shape,a.shape,s.shape,h,d,l):new bP(i.shape,a.shape,s.shape,h,d,l),f=e.runWebGLProgram(p,u,u[0].dtype);return f},SP={kernelName:_.FusedBatchNorm,backendName:"webgl",kernelFunc:LP};var IP="return float(a != b);",f2=la({opSnippet:IP,dtype:"bool"}),AP={kernelName:_.NotEqual,backendName:"webgl",kernelFunc:f2};function ip(n){var t=n.inputs,e=n.backend,r=t.input,i=e.texData.get(r.dataId);return ar({inputs:{x:i.complexTensorInfos.real},backend:e})}var TP={kernelName:_.Real,backendName:"webgl",kernelFunc:ip};var NP="return float(int(x));";function _P(n,t){var e=new De(n.shape,NP),r=t.runWebGLProgram(e,[n],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}function ap(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.dtype;if(a==="complex64"){if(i.dtype==="complex64")return ar({inputs:{x:i},backend:e});var s=_.zeros(i.shape),o=ap({inputs:{x:i},backend:e,attrs:{dtype:"float32"}}),c=ca({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),c}if(i.dtype==="complex64"){var l=ip({inputs:{input:i},backend:e}),c=ap({inputs:{x:l},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(l),c}if(!_.util.hasEncodingLoss(i.dtype,a)){var c=ar({inputs:{x:i},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:a}}if(a==="int32")return _P(i,e);if(a==="bool"){var u=e.makeTensorInfo([],"bool",_.util.getTypedArrayFromDType("bool",1)),h={a:i,b:u},c=f2({inputs:h,backend:e});return e.disposeIntermediateTensorInfo(u),c}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+a)}var CP={kernelName:_.Cast,backendName:"webgl",kernelFunc:ap};var RP=function(){function n(t){this.outputShape=[],this.outputShape=_.backend_util.computeOutShape(t,1),this.variableNames=t.map(function(c,l){return"T"+l});var e=new Array(t.length-1);e[0]=t[0][1];for(var r=1;r<e.length;r++)e[r]=e[r-1]+t[r][1];for(var i=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"],r=1;r<e.length;r++){var a=e[r-1];i.push("else if (yC < "+e[r]+") "+("setOutput(getT"+r+"(yR, yC-"+a+"));"))}var s=e.length,o=e[e.length-1];i.push("else setOutput(getT"+s+"(yR, yC-"+o+"));"),this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
`+i.join(`
`)+`
}
`}return n}();var OP=function(){function n(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=_.backend_util.computeOutShape(t,e);var r=this.outputShape,i=r.length,a=Qe(i),s=Ut("coords",i),o=["x","y","z","w","u","v"].slice(0,i);this.variableNames=t.map(function(y,w){return"T"+w});var c=new Array(t.length-1);c[0]=t[0][e];for(var l=1;l<c.length;l++)c[l]=c[l-1]+t[l][e];for(var u=o[e],h=o.slice(-2),d=o.join(),p="if ("+u+" < "+c[0]+`) {
return getChannel(
getT0(`+d+"), vec2("+h.join()+`));
}`,l=1;l<c.length;l++){var f=c[l-1];p+=`
if (`+u+" < "+c[l]+" && "+u+" >= "+c[l-1]+`) {
return getChannel(
getT`+l+"("+Zo(o,u,f)+`),
vec2(`+Zo(h,u,f)+`));
}`}var m=c.length,g=c[c.length-1];p+=`
return getChannel(
getT`+m+"("+Zo(o,u,g)+`),
vec2(`+Zo(h,u,g)+"));",this.userCode=`
float getValue(`+o.map(function(y){return"int "+y})+`) {
`+p+`
}
void main() {
`+a+` coords = getOutputCoords();
vec4 result = vec4(getValue(`+s+`), 0., 0., 0.);
`+s[i-1]+" = "+s[i-1]+` + 1;
if (`+s[i-1]+" < "+r[i-1]+`) {
result.g = getValue(`+s+`);
}
`+s[i-2]+" = "+s[i-2]+` + 1;
if (`+s[i-2]+" < "+r[i-2]+`) {
result.a = getValue(`+s+`);
}
`+s[i-1]+" = "+s[i-1]+` - 1;
if (`+s[i-2]+" < "+r[i-2]+` &&
`+s[i-1]+" < "+r[i-1]+`) {
result.b = getValue(`+s+`);
}
setOutput(result);
}
`}return n}();function Zo(n,t,e){var r=n.indexOf(t),i=n.map(function(a,s){return s===r?a+" - "+e:a});return i.join()}function m2(n){var t=n.inputs,e=n.backend,r=t.input,i=e.texData.get(r.dataId);return ar({inputs:{x:i.complexTensorInfos.imag},backend:e})}var EP={kernelName:_.Imag,backendName:"webgl",kernelFunc:m2};function DP(n,t,e){var r=[fi(n.shape)].concat(mi(n.shape)),i={dtype:n.dtype,shape:r,dataId:n.dataId},a=[fi(t)].concat(mi(t)),s=new qb(a,r),o=!0,c=e.runWebGLProgram(s,[i],n.dtype,null,o);return{dataId:c.dataId,shape:t,dtype:c.dtype}}function sr(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.shape,s=e,o=_.util.sizeFromShape(i.shape),c=_.util.inferFromImplicitShape(a,o),l=_.util.sizeFromShape(c);_.util.assert(o===l,function(){return"The new shape ("+c+") has "+l+" elements and the old "+("shape ("+i.shape+") has "+o+" elements. The new shape and old ")+"shape must have the same number of elements."});var u=s.texData.get(i.dataId);return u.isPacked&&!ls(i.shape,c)&&!(u.texture!==null&&ls(u.shape,c))?DP(i,c,s):(s.incRef(i.dataId),{dataId:i.dataId,shape:c,dtype:i.dtype})}var kP={kernelName:_.Reshape,backendName:"webgl",kernelFunc:sr};function ua(n,t,e){var r=n[0].dtype;if(r==="complex64"){var i=n.map(function(b){return ip({inputs:{input:b},backend:e})}),a=n.map(function(b){return m2({inputs:{input:b},backend:e})}),s=ua(i,t,e),o=ua(a,t,e),c=ca({inputs:{real:s,imag:o},backend:e});return i.forEach(function(b){return e.disposeIntermediateTensorInfo(b)}),a.forEach(function(b){return e.disposeIntermediateTensorInfo(b)}),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(o),c}if(n.length>_.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var l=Math.floor(n.length/2),u=ua(n.slice(0,l),t,e),h=ua(n.slice(l),t,e),d=ua([u,h],t,e);return e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(h),d}if(_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&n[0].shape.length>1){var p=new OP(n.map(function(b){return b.shape}),t);return e.runWebGLProgram(p,n,r)}var f=_.backend_util.computeOutShape(n.map(function(b){return b.shape}),t),m=n.map(function(b){return sr({inputs:{x:b},attrs:{shape:[-1,_.util.sizeFromShape(b.shape.slice(t))]},backend:e})}),g=new RP(m.map(function(b){return b.shape})),y=e.runWebGLProgram(g,m,r);m.forEach(function(b){return e.disposeIntermediateTensorInfo(b)});var w=sr({inputs:{x:y},attrs:{shape:f},backend:e});return e.disposeIntermediateTensorInfo(y),w}function FP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=r.axis,a=_.util.parseAxisParam(i,t[0].shape)[0],s=_.backend_util.computeOutShape(t.map(function(l){return l.shape}),a);if(_.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(l){return _.util.sizeFromShape(l.shape)>0});if(o.length===1)return o[0];var c=o.map(function(l){return l.shape});return _.backend_util.assertParamsConsistent(c,a),ua(o,a,e)}var WP={kernelName:_.Concat,backendName:"webgl",kernelFunc:FP};var UP=d2+`
return cos(x);
`,BP=Jo(UP),zP={kernelName:_.Cos,backendName:"webgl",kernelFunc:BP};var PP=`
if (a == b) {
return 1.0;
};
return a / b;`,MP=`
// 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;
`,HP=la({opSnippet:PP,packedOpSnippet:MP,checkOutOfBounds:!0}),VP={kernelName:_.Div,backendName:"webgl",kernelFunc:HP};var g2=function(){function n(t,e,r){this.variableNames=["real","imag"];var i=e[1];this.outputShape=e;var a=r?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,s=r?i+".0":"1.0",o;if(t==="real")o="return real * expR - imag * expI;";else if(t==="imag")o="return real * expI + imag * expR;";else throw new Error('FFT component must be either "real" or "imag", got '+t+".");this.userCode=`
const float exponentMultiplier = `+a+`;
float unaryOpComplex(float real, float expR, float imag, float expI) {
`+o+`
}
float mulMatDFT(int batch, int index) {
float indexRatio = float(index) / float(`+i+`);
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
float result = 0.0;
for (int i = 0; i < `+i+`; 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}();function y2(n,t,e){var r=e.texData.get(n.dataId),i=_.util.sizeFromShape(n.shape),a=n.shape[n.shape.length-1],s=i/a,o=sr({inputs:{x:n},backend:e,attrs:{shape:[s,a]}}),c=o.shape,l=new g2("real",c,t),u=new g2("imag",c,t),h=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:c},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:c}],d=e.runWebGLProgram(l,h,"float32"),p=e.runWebGLProgram(u,h,"float32"),f=ca({inputs:{real:d,imag:p},backend:e});e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p);var m=sr({inputs:{x:f},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(m),m}function GP(n){var t=n.inputs,e=n.backend,r=t.input;return y2(r,!1,e)}var qP={kernelName:_.FFT,backendName:"webgl",kernelFunc:GP};var YP=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 KP={kernelName:_.FlipLeftRight,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=t.image,i=e,a=new YP(r.shape),s=i.runWebGLProgram(a,[r],r.dtype);return s}};var jP=function(){function n(t){this.variableNames=["A"];var e=Bt(),r=t[0],i=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(`+i+".0, "+r+`.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 $P=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Bt(),r=t[0],i=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(`+i+".0, "+r+`.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 JP={kernelName:_.FromPixels,backendName:"webgl",kernelFunc:XP},ha;function XP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.pixels,a=r.numChannels,s=typeof HTMLVideoElement!="undefined"&&i instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&i instanceof HTMLImageElement,c=s?[i.videoWidth,i.videoHeight]:[i.width,i.height],l=c[0],u=c[1],h=[u,l],d=[u,l,a];(o||s)&&(ha==null&&(ha=document.createElement("canvas").getContext("2d")),ha.canvas.width=l,ha.canvas.height=u,ha.drawImage(i,0,0,l,u),i=ha.canvas);var p=e.makeTensorInfo(h,"int32");e.texData.get(p.dataId).usage=cn.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(p.dataId),i);var f=_.env().getBool("WEBGL_PACK")?new $P(d):new jP(d),m=e.runWebGLProgram(f,[p],"int32");return e.disposeData(p.dataId),m}function ZP(n){var t=n.inputs,e=n.backend,r=t.input;return y2(r,!0,e)}var QP={kernelName:_.IFFT,backendName:"webgl",kernelFunc:ZP};var v2=function(){function n(t,e){this.variableNames=["x"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[i,s];var o=Math.floor(r/4)*4,c=r%4,l="sumValue += dot(values, ones);";if(e!=null){var u=1/e;l="sumValue += dot(values * "+(_.util.isInt(u)?u.toPrecision(2):u)+", ones);"}var h="";a%r>0&&(h=`
if (inIdx < 0 || inIdx >= `+a+`) {
return 0.0;
}
`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
`+h+`
return getX(batch, inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * `+r+`;
float sumValue = 0.0;
for (int i = 0; i < `+o+`; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
`+l+`
}
int inIdx = inOffset + `+o+`;
if (`+(c===1)+`) {
vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
`+l+`
} else if (`+(c===2)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
`+l+`
} else if (`+(c===3)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
`+l+`
}
setOutput(sumValue);
}
`}return n}();function eM(n){for(var t=[];t.length===0||t[t.length-1].outSize!==1;){var e=t.length?t[t.length-1].outSize:n[1],r=_.backend_util.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:r,outSize:Math.ceil(e/r)})}return t}function w2(n,t,e,r){for(var i=eM(n.shape),a=n,s=0;s<i.length;s++){var o=i[s],c=o.inSize,l=o.windowSize,u=o.outSize,h=void 0,d=void 0;e==="mean"?h=s===0?new v2({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u},c):new v2({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u}):h=new Gb({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u},e),d=a,a=r.runWebGLProgram(h,[a],t),d.dataId!==n.dataId&&r.disposeIntermediateTensorInfo(d)}return a}function tM(n,t,e,r){var i=_.util.sizeFromShape(t),a=_.util.sizeFromShape(n.shape),s=a/i,o=sr({inputs:{x:n},attrs:{shape:[s,i]},backend:r}),c=w2(o,n.dtype,"max",r),l=sr({inputs:{x:c},attrs:{shape:e},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(c),l}var rM=function(){function n(t,e){this.variableNames=["A"];for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[e[i]];this.outputShape=r,this.rank=r.length;var a=Qe(this.rank),s=nM(e);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function nM(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"],r=new Array(t),i=0;i<n.length;i++)r[n[i]]=e[i];return r.join()}var iM=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[e[i]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=Qe(this.rank),s=db("rc",this.rank),o=new Array(this.rank),i=0;i<e.length;i++)o[e[i]]=s[i];var c="vec2("+o.slice(-2).join()+")",l="++"+s[this.rank-1]+" < "+r[this.rank-1],u="getChannel(getA("+o.join()+"), "+c+")";this.userCode=`
void main() {
`+a+` rc = getOutputCoords();
vec4 result = vec4(0.);
result[0] = `+u+`;
if(`+l+`) {
result[1] = `+u+`;
}
--`+s[this.rank-1]+`;
if(++`+s[this.rank-2]+" < "+r[this.rank-2]+`) {
result[2] = `+u+`;
if(`+l+`) {
result[3] = `+u+`;
}
}
setOutput(result);
}
`}return n}();function sp(n,t,e){var r=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new iM(n.shape,t):new rM(n.shape,t);return e.runWebGLProgram(r,[n],n.dtype)}var aM={kernelName:_.Max,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.reductionIndices,o=a.keepDims,c=r,l=i.shape.length,u=_.util.parseAxisParam(s,i.shape),h=u,d=_.backend_util.getAxesPermutation(h,l),p=d!=null,f=c.shouldExecuteOnCPU([i]),m=i;if(p){if(f){for(var g=c.texData.get(m.dataId),y=g.values,w=new Array(l),b=0;b<w.length;b++)w[b]=i.shape[d[b]];var x=jd(y,i.shape,i.dtype,d,w);m=c.makeTensorInfo(w,i.dtype);var L=c.texData.get(m.dataId);L.values=x}else m=sp(i,d,c);h=_.backend_util.getInnerMostAxes(h.length,l)}_.backend_util.assertAxesAreInnerMostDims("max",h,l);var N=_.backend_util.computeOutAndReduceShapes(m.shape,h),I=N[0],C=N[1],O=I;o&&(O=_.backend_util.expandShapeToKeepDim(I,u));var D;if(f){var g=c.texData.get(m.dataId),y=g.values,F=HW(y,_.util.sizeFromShape(C),O,i.dtype);D=c.makeTensorInfo(O,i.dtype);var k=c.texData.get(D.dataId);k.values=F}else D=tM(m,C,O,c);return p&&c.disposeIntermediateTensorInfo(m),D}};function sM(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;na(i,"maxPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;_.util.assert(_.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=_.backend_util.computePool2DInfo(i.shape,a,s,l,o,c);if(u.filterWidth===1&&u.filterHeight===1&&_.util.arraysEqual(u.inShape,u.outShape))return ar({inputs:{x:i},backend:e});var h=new hs(u,"max",!1);return e.runWebGLProgram(h,[i],i.dtype)}var oM={kernelName:_.MaxPool,backendName:"webgl",kernelFunc:sM};function cM(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=t.output,o=a;na([a,s],"maxPoolBackprop");var c=r.filterSize,l=r.strides,u=r.pad,h=r.dimRoundingMode,d=_.backend_util.computePool2DInfo(o.shape,c,l,1,u,h),p=!0,f=new hs(d,"max",p),m=e.runWebGLProgram(f,[o],o.dtype),g=new MB(d),y=e.runWebGLProgram(g,[i,m],o.dtype);return e.disposeIntermediateTensorInfo(m),y}var lM={kernelName:_.MaxPoolBackprop,backendName:"webgl",kernelFunc:cM};function uM(n,t,e,r){var i=new hs(e,"max",!1),a=r.runWebGLProgram(i,[n],"float32");i=new hs(e,"max",!0,!0,t);var s=r.runWebGLProgram(i,[n],"float32");return[a,s]}var hM={kernelName:_.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.filterSize,o=a.strides,c=a.pad,l=a.includeBatchInIndex,u=r;_.util.assert(i.shape.length===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+i.shape.length+"."});var h=[1,1];_.util.assert(_.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=_.backend_util.computePool2DInfo(i.shape,s,o,h,c),p=uM(i,l,d,u),f=p[0],m=p[1];return[f,m]}};function dM(n,t,e,r){var i=_.util.sizeFromShape(t),a=_.util.sizeFromShape(n.shape),s=a/i,o=sr({inputs:{x:n},attrs:{shape:[s,i]},backend:r}),c=w2(o,"float32","mean",r),l=sr({inputs:{x:c},attrs:{shape:e},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(c),l}var pM={kernelName:_.Mean,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.keepDims,o=a.axis,c=r,l=i.shape.length,u=_.util.parseAxisParam(o,i.shape),h=u,d=_.backend_util.getAxesPermutation(h,l),p=d!=null,f=c.shouldExecuteOnCPU([i]),m=[],g=i;if(p){if(f){for(var y=c.texData.get(g.dataId),w=y.values,b=new Array(l),x=0;x<b.length;x++)b[x]=i.shape[d[x]];var L=jd(w,i.shape,i.dtype,d,b);g=c.makeTensorInfo(b,i.dtype);var N=c.texData.get(g.dataId);N.values=L}else g=sp(i,d,c);m.push(g),h=_.backend_util.getInnerMostAxes(h.length,l)}_.backend_util.assertAxesAreInnerMostDims("sum",h,l);var I=_.backend_util.computeOutAndReduceShapes(g.shape,h),C=I[0],O=I[1],D=C;s&&(D=_.backend_util.expandShapeToKeepDim(C,u));for(var F=dM(g,O,D,c),k=0,B=m;k<B.length;k++){var x=B[k];c.disposeIntermediateTensorInfo(x)}return F}};var fM=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=e.map(function(u,h){return u[0]+t[h]+u[1]});var i=t.length,a=Qe(i),s=e.map(function(u){return u[0]}).join(","),o=e.map(function(u,h){return u[0]+t[h]}).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,i),l=r==="reflect"?0:1;if(i===1){this.userCode=`
int start = `+s+`;
int end = `+o+`;
void main() {
int outC = getOutputCoords();
if (outC < start) {
outC = start * 2 - outC - `+l+`;
} else if(outC >= end) {
outC = (end - 1) * 2 - outC + `+l+`;
}
setOutput(getX(outC - start));
}
`;return}this.userCode=`
`+a+" start = "+a+"("+s+`);
`+a+" end = "+a+"("+o+`);
void main() {
`+a+` outC = getOutputCoords();
for (int i = 0; i < `+i+`; i++) {
if (outC[i] < start[i]) {
outC[i] = start[i] * 2 - outC[i] - `+l+`;
} else if(outC[i] >= end[i]) {
outC[i] = (end[i] - 1) * 2 - outC[i] + `+l+`;
}
}
`+a+` coords = outC - start;
setOutput(getX(`+c+`));
}
`}return n}();var mM=function(){function n(t,e,r){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(m,g){return m[0]+t[g]+m[1]});var i=t.length,a=Qe(i),s=e.map(function(m){return m[0]}).join(","),o=e.map(function(m,g){return m[0]+t[g]}).join(","),c=Ut("rc",i),l=Ut("source",i),u=c[i-1]+" < "+this.outputShape[i-1],h=i===1?"source":"vec2("+l.slice(-2).join()+")",d=r==="reflect"?0:1,p="";if(i===1){var f=`
`+a+` source = rc;
if (source < start) {
source = start * 2 - source - `+d+`;
} else if (source >= end) {
source = (end - 1) * 2 - source + `+d+`;
}
source -= start;
`;p=`
`+a+` rc = outputLoc;
`+f+`
result[0] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[1] = getChannel(getX(`+l.join()+"), "+h+`);
}
`}else{var f=`
`+a+` source = rc;
`+a+" lt = "+a+`(lessThan(source, start));
`+a+" gte = "+a+`(greaterThanEqual(source, end));
`+a+` orig = 1 - (lt + gte);
source = orig * source +
lt * (start * 2 - source - `+d+`) +
gte * ((end - 1) * 2 - source + `+d+`);
source -= start;
`;p=`
`+a+` rc = outputLoc;
`+f+`
result[0] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[1] = getChannel(getX(`+l.join()+"), "+h+`);
}
rc = outputLoc;
`+c[i-2]+` += 1;
if(`+c[i-2]+" < "+this.outputShape[i-2]+`) {
`+f+`
result[2] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[3] = getChannel(getX(`+l.join()+"), "+h+`);
}
}
`}this.userCode=`
const `+a+" start = "+a+"("+s+`);
const `+a+" end = "+a+"("+o+`);
void main() {
`+a+` outputLoc = getOutputCoords();
vec4 result = vec4(0.);
`+p+`
setOutput(result);
}
`}return n}();var gM=function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.paddings,s=r.mode,o=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new mM(i.shape,a,s):new fM(i.shape,a,s),c=e.runWebGLProgram(o,[i],i.dtype);return c},yM={kernelName:_.MirrorPad,backendName:"webgl",kernelFunc:gM};var b2={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},x2=function(){function n(t,e,r){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r),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 L2="return a * b;";function vM(n){var t=n.inputs,e=n.backend,r=t.a,i=t.b,a=_.backend_util.upcastType(r.dtype,i.dtype);if(r.dtype==="complex64"){var s=e.texData.get(r.dataId),o=e.texData.get(i.dataId),c=new x2(b2.REAL,r.shape,i.shape),l=new x2(b2.IMAG,r.shape,i.shape),u=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:r.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:i.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:i.shape}],h=e.runWebGLProgram(c,u,"float32"),d=e.runWebGLProgram(l,u,"float32"),p=ca({inputs:{real:h,imag:d},backend:e});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}if(e.shouldExecuteOnCPU([r,i])){var s=e.texData.get(r.dataId),o=e.texData.get(i.dataId),f=VW(r.shape,i.shape,s.values,o.values,a),m=f[0],g=f[1],y=e.makeTensorInfo(g,a),w=e.texData.get(y.dataId);return w.values=m,y}var b;return _.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?b=new rr(L2,r.shape,i.shape):b=new Wt(L2,r.shape,i.shape),e.runWebGLProgram(b,[r,i],a)}var wM={kernelName:_.Multiply,backendName:"webgl",kernelFunc:vM};var bM={kernelName:_.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=e,d=h.readSync(a.dataId),p=h.readSync(s.dataId),f=c,m=l,g=u;return _.kernel_impls.nonMaxSuppressionV3Impl(d,p,f,m,g)}};var xM=_.kernel_impls.nonMaxSuppressionV4Impl,LM={kernelName:_.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=o.padToMaxOutputSize,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=xM(p,f,c,l,u,h),g=m.selectedIndices,y=m.validOutputs;return[g,y]}};var SM=_.kernel_impls.nonMaxSuppressionV5Impl,IM={kernelName:_.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=o.softNmsSigma,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=c,g=l,y=u,w=h,b=SM(p,f,m,g,y,w),x=b.selectedIndices,L=b.selectedScores;return[x,L]}};var AM=function(){function n(t,e,r,i){this.variableNames=["Image"],this.outputShape=[];var a=t[1],s=t[2],o=Math.sin(e).toFixed(3),c=Math.cos(e).toFixed(3);this.outputShape=t;var l=_.backend_util.getImageCenter(i,a,s),u=l[0],h=l[1],d=u.toFixed(3),p=h.toFixed(3),f="";typeof r=="number"?f="float outputValue = "+r.toFixed(2)+";":f=`
vec3 fill = vec3(`+r.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+") * "+c+" - (float(y) - "+p+") * "+o+`;
float coordYFloat = (float(x) - `+d+") * "+o+" + (float(y) - "+p+") * "+c+`;
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 TM={kernelName:_.RotateWithOffset,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.image,a=e,s=a.radians,o=a.fillValue,c=a.center,l=r,u=new AM(i.shape,s,o,c),h=l.runWebGLProgram(u,[i],i.dtype);return h}};var NM=d2+`
return sin(x);
`,_M=Jo(NM),CM={kernelName:_.Sin,backendName:"webgl",kernelFunc:_M};var RM="return x * x;",OM=Jo(RM),EM={kernelName:_.Square,backendName:"webgl",kernelFunc:OM};var S2="return (a - b) * (a - b);",DM=la({opSnippet:S2,packedOpSnippet:S2}),kM={kernelName:_.SquaredDifference,backendName:"webgl",kernelFunc:DM};var I2="return a - b;",FM=la({opSnippet:I2,packedOpSnippet:I2,supportsComplex:!0,cpuKernelImpl:YW}),WM={kernelName:_.Sub,backendName:"webgl",kernelFunc:FM};var UM="return tan(x);",BM=Jo(UM),zM={kernelName:_.Tan,backendName:"webgl",kernelFunc:BM};var PM={kernelName:_.Transpose,backendName:"webgl",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e.perm,s=r,o=i.shape.length,c=new Array(o),l=0;l<c.length;l++)c[l]=i.shape[a[l]];var u;if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId),d=h.values,p=jd(d,i.shape,i.dtype,a,c);u=s.makeTensorInfo(c,i.dtype);var f=s.texData.get(u.dataId);f.values=p}else u=sp(i,a,s);return u}};function MM(n){var t=n.inputs,e=n.attrs,r=n.backend,i=e.axis,a=t.x;na(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var s=r.readSync(a.dataId),o=KW(s,i,a.shape,a.dtype),c=o.outputValues,l=o.outputShape,u=o.indices;return[r.makeTensorInfo(l,a.dtype,c),r.makeTensorInfo([u.length],"int32",u)]}var HM={kernelName:_.Unique,backendName:"webgl",kernelFunc:MM};var VM=[hP,mP,yP,wP,SP,CP,oP,WP,zP,VP,qP,KP,JP,sP,QP,EP,aM,oM,lM,hM,pM,yM,wM,bM,LM,IM,AP,TP,kP,TM,CM,EM,WM,kM,zM,PM,HM];for(var op=0,A2=VM;op<A2.length;op++){var GM=A2[op];_.registerKernel(GM)}Bn.GPGPUContext=Hb;Bn.MathBackendWebGL=u2;Bn.forceHalfFloat=h2;Bn.gpgpu_util=EB;Bn.setWebGLContext=Mw;Bn.version_webgl=iP;Bn.webgl=aP;Bn.webgl_util=bW}),zt=we(vi=>{"use strict";Object.defineProperty(vi,"__esModule",{value:!0});var cp=ei(),lp=l1(),up=I1(),N2=q1(),qM=Pw(),YM=T2();var KM="2.7.0";var jM={"tfjs-core":cp.version_core,"tfjs-backend-cpu":qM.version_cpu,"tfjs-backend-webgl":YM.version_webgl,"tfjs-data":N2.version_data,"tfjs-layers":lp.version_layers,"tfjs-converter":up.version_converter,tfjs:KM};Object.keys(cp).forEach(function(n){n!=="default"&&Object.defineProperty(vi,n,{enumerable:!0,get:function(){return cp[n]}})});Object.keys(lp).forEach(function(n){n!=="default"&&Object.defineProperty(vi,n,{enumerable:!0,get:function(){return lp[n]}})});Object.keys(up).forEach(function(n){n!=="default"&&Object.defineProperty(vi,n,{enumerable:!0,get:function(){return up[n]}})});vi.data=N2;vi.version=jM}),D2=we(Qo=>{const Ve=zt(),_2=6;function $M(n){const t={strides:[n/16,n/8],anchors:[2,6]},e=[];for(let r=0;r<t.strides.length;r++){const i=t.strides[r],a=Math.floor((n+i-1)/i),s=Math.floor((n+i-1)/i),o=t.anchors[r];for(let c=0;c<a;c++){const l=i*(c+.5);for(let u=0;u<s;u++){const h=i*(u+.5);for(let d=0;d<o;d++)e.push([h,l])}}}return e}const C2=n=>{n.startEndTensor.dispose(),n.startPoint.dispose(),n.endPoint.dispose()},R2=n=>({startEndTensor:n,startPoint:Ve.slice(n,[0,0],[-1,2]),endPoint:Ve.slice(n,[0,2],[-1,2])}),O2=(n,t)=>{const e=Ve.mul(n.startPoint,t),r=Ve.mul(n.endPoint,t),i=Ve.concat2d([e,r],1);return R2(i)};function XM(n,t,e){const r=Ve.slice(n,[0,1],[-1,2]),i=Ve.add(r,t),a=Ve.slice(n,[0,3],[-1,2]),s=Ve.div(a,e),o=Ve.div(i,e),c=Ve.div(s,2),l=Ve.sub(o,c),u=Ve.add(o,c),h=Ve.mul(l,e),d=Ve.mul(u,e),p=1;return Ve.concat2d([h,d],p)}function JM(n,t){return Ve.tidy(()=>{const e=n.box?n.box:n;return O2(e,t).startEndTensor.squeeze()})}class E2{constructor(n,t){this.blazeFaceModel=n,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=$M(t.detector.inputSize),this.anchors=Ve.tensor2d(this.anchorsData),this.inputSize=Ve.tensor1d([this.width,this.height]),this.iouThreshold=t.detector.iouThreshold,this.scaleFaces=.8,this.scoreThreshold=t.detector.scoreThreshold}async getBoundingBoxes(n){if(!n||n.isDisposedInternal||n.shape.length!==4||n.shape[1]<1||n.shape[2]<1)return null;const[t,e,r]=Ve.tidy(()=>{const l=n.resizeBilinear([this.width,this.height]),u=Ve.mul(Ve.sub(l.div(255),.5),2),h=this.blazeFaceModel.predict(u);let d;if(Array.isArray(h)){const g=h.sort((x,L)=>x.size-L.size),y=Ve.concat([g[0],g[2]],2),w=Ve.concat([g[1],g[3]],2),b=Ve.concat([w,y],1);d=b.squeeze(0)}else d=h.squeeze();const p=XM(d,this.anchors,this.inputSize),f=Ve.slice(d,[0,0],[-1,1]),m=Ve.sigmoid(f).squeeze();return[d,p,m]}),i=await Ve.image.nonMaxSuppressionAsync(e,r,this.maxFaces,this.iouThreshold,this.scoreThreshold),a=i.arraySync();i.dispose();const s=a.map(l=>Ve.slice(e,[l,0],[1,-1])),o=s.map(l=>{const u=l.arraySync();return l.dispose(),u}),c=[];for(let l=0;l<o.length;l++){const u=o[l],h=R2(u),d=a[l],p=this.anchorsData[d],f=Ve.slice(t,[d,_2-1],[1,-1]),m=f.squeeze(),g=m.reshape([_2,-1]),y=Ve.slice(r,[d],[1]),w={box:h,landmarks:g,probability:y,anchor:p};c.push(w),f.dispose(),m.dispose()}return t.dispose(),e.dispose(),r.dispose(),t.dispose(),{boxes:c,scaleFactor:[n.shape[2]/this.width,n.shape[1]/this.height]}}async estimateFaces(n){const{boxes:t,scaleFactor:e}=await this.getBoundingBoxes(n),r=[];for(const i of t){const a=i.landmarks.arraySync(),s=JM(i,e),o=O2.arraySync(),c=i.probability.arraySync(),l=i.anchor,[u,h]=e,d=a.map(f=>[(f[0]+l[0])*u,(f[1]+l[1])*h]),p={topLeft:o.slice(0,2),bottomRight:o.slice(2),landmarks:d,probability:c};C2(i.box),i.landmarks.dispose(),i.probability.dispose(),s.dispose(),r.push(p)}return r}}async function ZM(n){const t=await Ve.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),e=new E2(t,n);return e}Qo.load=ZM;Qo.BlazeFaceModel=E2;Qo.disposeBox=C2}),dp=we(hp=>{hp.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]};hp.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]}]}),k2=we(wi=>{const QM=zt();function eH(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],r=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]];return{startPoint:e,endPoint:r}}wi.scaleBoxCoordinates=eH;function pp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}wi.getBoxSize=pp;function fp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}wi.getBoxCenter=fp;function tH(n,t,e){const r=t.shape[1],i=t.shape[2],a=[[n.startPoint[1]/r,n.startPoint[0]/i,n.endPoint[1]/r,n.endPoint[0]/i]];return QM.image.cropAndResize(t,a,[0],e)}wi.cutBoxFromImageAndResize=tH;function nH(n,t=1.5){const e=fp(n),r=pp(n),i=[t*r[0]/2,t*r[1]/2],a=[e[0]-i[0],e[1]-i[1]],s=[e[0]+i[0],e[1]+i[1]];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}wi.enlargeBox=nH;function rH(n){const t=fp(n),e=pp(n),r=Math.max(...e),i=r/2,a=[t[0]-i,t[1]-i],s=[t[0]+i,t[1]+i];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}wi.squarifyBox=rH}),z2=we(Tn=>{Tn.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function F2(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}Tn.normalizeRadians=F2;function iH(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return F2(e)}Tn.computeRotation=iH;function aH(n){return n*180/Math.PI}Tn.radToDegrees=aH;function W2(n,t){return[[1,0,n],[0,1,t],[0,0,1]]}function da(n,t){let e=0;for(let r=0;r<n.length;r++)e+=n[r]*t[r];return e}Tn.dot=da;function U2(n,t){const e=[];for(let r=0;r<n.length;r++)e.push(n[r][t]);return e}Tn.getColumnFrom2DArr=U2;function B2(n,t){const e=[],r=n.length;for(let i=0;i<r;i++){e.push([]);for(let a=0;a<r;a++)e[i].push(da(n[i],U2(t,a)))}return e}function sH(n,t){const e=Math.cos(n),r=Math.sin(n),i=[[e,-r,0],[r,e,0],[0,0,1]],a=W2(t[0],t[1]),s=B2(a,i),o=W2(-t[0],-t[1]);return B2(s,o)}Tn.buildRotationMatrix=sH;function oH(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],r=[-da(t[0],e),-da(t[1],e)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}Tn.invertTransformMatrix=oH;function cH(n,t){return[da(n,t[0]),da(n,t[1])]}Tn.rotatePoint=cH;function lH(n,t){return Math.sqrt((n[0]-t[0])**2+(n[1]-t[1])**2)}Tn.xyDistanceBetweenPoints=lH}),M2=we(P2=>{const or=zt(),Pn=k2(),Dr=dp(),kr=z2(),uH=468,hH=.25,dH=13,pH=[dH,Dr.MESH_ANNOTATIONS.midwayBetweenEyes[0]],fH=3,mH=2,gH=[fH,mH],mp=Dr.MESH_ANNOTATIONS.leftEyeLower0,gp=[mp[0],mp[mp.length-1]],yp=Dr.MESH_ANNOTATIONS.rightEyeLower0,vp=[yp[0],yp[yp.length-1]],yH=3,vH=4,wH=71,wp=76;function ec(n,t,e,r){for(let i=0;i<Dr.MESH_TO_IRIS_INDICES_MAP.length;i++){const{key:a,indices:s}=Dr.MESH_TO_IRIS_INDICES_MAP[i],o=Dr.MESH_ANNOTATIONS[`${e}${a}`],c=r==null;if(c||r.includes(a))for(let l=0;l<s.length;l++){const u=s[l];n[o[l]]=[t[u][0],t[u][1],(t[u][2]+n[o[l]][2])/2]}}}class bH{constructor(n,t,e,r){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.irisModel=e,this.meshWidth=r.mesh.inputSize,this.meshHeight=r.mesh.inputSize,this.irisSize=r.iris.inputSize,this.irisEnlarge=r.iris.enlargeFactor}transformRawCoords(n,t,e,r){const i=Pn.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),a=[i[0]/this.meshWidth,i[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=kr.buildRotationMatrix(e,[0,0]),c=s.map(d=>[...kr.rotatePoint(d,o),d[2]]),l=kr.invertTransformMatrix(r),u=[...Pn.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[kr.dot(u,l[0]),kr.dot(u,l[1])];return c.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}getLeftToRightEyeDepthDifference(n){const t=n[gp[0]][2],e=n[vp[0]][2];return t-e}getEyeBox(n,t,e,r,i=!1){const a=Pn.squarifyBox(Pn.enlargeBox(this.calculateLandmarksBoundingBox([n[e],n[r]]),this.irisEnlarge)),s=Pn.getBoxSize(a);let o=or.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 i&&(o=or.image.flipLeftRight(o)),{box:a,boxSize:s,crop:o}}getEyeCoords(n,t,e,r=!1){const i=[];for(let a=0;a<wp;a++){const s=n[a*3],o=n[a*3+1],c=n[a*3+2];i.push([(r?1-s/this.irisSize:s/this.irisSize)*e[0]+t.startPoint[0],o/this.irisSize*e[1]+t.startPoint[1],c])}return{rawCoords:i,iris:i.slice(wH)}}getAdjustedIrisCoords(n,t,e){const r=n[Dr.MESH_ANNOTATIONS[`${e}EyeUpper0`][yH]][2],i=n[Dr.MESH_ANNOTATIONS[`${e}EyeLower0`][vH]][2],a=(r+i)/2;return t.map((s,o)=>{let c=a;return o===2?c=r:o===4&&(c=i),[s[0],s[1],c]})}async predict(n,t){if(this.skipFrames=t.detector.skipFrames,this.maxFaces=t.detector.maxFaces,this.runsWithoutFaceDetector++,this.shouldUpdateRegionsOfInterest()){const r=await this.boundingBoxDetector.getBoundingBoxes(n);if(!r||!r.boxes||r.boxes.length===0)return this.regionsOfInterest=[],null;const i=r.boxes.map(a=>{const s=a.box.startPoint.squeeze(),o=a.box.endPoint.squeeze(),c={startPoint:s.arraySync(),endPoint:o.arraySync()};s.dispose(),o.dispose();const l=Pn.scaleBoxCoordinates(c,r.scaleFactor),u=Pn.enlargeBox(l),h=a.landmarks.arraySync();return a.box.startPoint.dispose(),a.box.endPoint.dispose(),a.landmarks.dispose(),a.probability.dispose(),{...u,landmarks:h}});this.updateRegionsOfInterest(i),this.runsWithoutFaceDetector=0}const e=or.tidy(()=>this.regionsOfInterest.map((r,i)=>{let a=0;const s=r.landmarks.length>=uH;let[o,c]=pH;s===!1&&([o,c]=gH),a=kr.computeRotation(r.landmarks[o],r.landmarks[c]);const l=Pn.getBoxCenter({startPoint:r.startPoint,endPoint:r.endPoint}),u=[l[0]/n.shape[2],l[1]/n.shape[1]];let h=n,d=kr.IDENTITY_MATRIX;a!==0&&(h=or.image.rotateWithOffset(n,a,0,u),d=kr.buildRotationMatrix(-a,l));const p={startPoint:r.startPoint,endPoint:r.endPoint},f=Pn.cutBoxFromImageAndResize(p,h,[this.meshHeight,this.meshWidth]).div(255),[,m,g]=this.meshDetector.predict(f),y=or.reshape(g,[-1,3]);let w=y.arraySync();if(t.iris.enabled){const{box:I,boxSize:C,crop:O}=this.getEyeBox(w,f,gp[0],gp[1],!0),{box:D,boxSize:F,crop:k}=this.getEyeBox(w,f,vp[0],vp[1]),B=this.irisModel.predict(or.concat([O,k])),V=B.dataSync();B.dispose();const P=V.slice(0,wp*3),{rawCoords:G,iris:j}=this.getEyeCoords(P,I,C,!0),q=V.slice(wp*3),{rawCoords:H,iris:J}=this.getEyeCoords(q,D,F),$=this.getLeftToRightEyeDepthDifference(w);Math.abs($)<30?(ec(w,G,"left"),ec(w,H,"right")):$<1?ec(w,G,"left",["EyeUpper0","EyeLower0"]):ec(w,H,"right",["EyeUpper0","EyeLower0"]);const ee=this.getAdjustedIrisCoords(w,j,"left"),te=this.getAdjustedIrisCoords(w,J,"right");w=w.concat(ee).concat(te)}const b=this.transformRawCoords(w,r,a,d);or.dispose(w);const x=Pn.enlargeBox(this.calculateLandmarksBoundingBox(b)),L=m.squeeze();if(or.dispose(m),t.mesh.enabled){const I=or.tensor2d(b);this.regionsOfInterest[i]={...x,landmarks:I.arraySync()};const C={coords:I,box:x,confidence:L,image:f};return C}const N={coords:null,box:x,confidence:L,image:f};return N}));return e}updateRegionsOfInterest(n){for(let t=0;t<n.length;t++){const e=n[t],r=this.regionsOfInterest[t];let i=0;if(r&&r.startPoint){const[a,s]=e.startPoint,[o,c]=e.endPoint,[l,u]=r.startPoint,[h,d]=r.endPoint,p=Math.max(a,l),f=Math.max(s,u),m=Math.min(o,h),g=Math.min(c,d),y=(m-p)*(g-f),w=(o-a)*(c-s),b=(h-l)*(d-s);i=y/(w+b-y)}i<hH&&(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(){return this.regionsOfInterest.length===0?!0:this.regionsOfInterest.length!==this.maxFaces&&this.runsWithoutFaceDetector>=this.skipFrames}calculateLandmarksBoundingBox(n){const 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X2={age:0,gender:""},Lp=Number.MAX_SAFE_INTEGER;async function CH(n){return Hn.age||(Hn.age=await Mn.loadGraphModel(n.face.age.modelPath)),Hn.age}async function RH(n){return Hn.gender||(Hn.gender=await Mn.loadGraphModel(n.face.gender.modelPath)),Hn.gender}async function OH(n,t){if(Lp<t.face.age.skipFrames)return Lp+=1,X2;Lp=0;const e=Mn.image.resizeBilinear(n,[t.face.age.inputSize,t.face.age.inputSize],!1),r=Mn.mul(e,[255]);Mn.dispose(e);const i=[];let a,s;const o={};if(!t.profile||t.async)t.face.age.enabled&&i.push(a=Hn.age.predict(r)),t.face.gender.enabled&&i.push(s=Hn.gender.predict(r)),await Promise.all(i);else{const c=t.face.age.enabled?await Mn.profile(()=>Hn.age.predict(r)):{};a=c.result.clone(),c.result.dispose(),$2.run("age",c);const l=t.face.gender.enabled?await Mn.profile(()=>Hn.gender.predict(r)):{};s=l.result.clone(),l.result.dispose(),$2.run("gender",l)}if(a){const c=a.dataSync();o.age=Math.trunc(10*c[0])/10,Mn.dispose(a)}if(s){const c=s.dataSync(),l=Math.trunc(Math.abs(1.9*100*(c[0]-.5)))/100;l>t.face.gender.minConfidence&&(o.gender=c[0]<=.5?"female":"male",o.confidence=l),Mn.dispose(s)}return Mn.dispose(r),X2=o,o}nc.predict=OH;nc.loadAge=CH;nc.loadGender=RH}),ex=we(Sp=>{const Vn=zt(),EH=tc(),DH=["angry","discust","fear","happy","sad","surpise","neutral"],fs={};let Z2=[],Ip=Number.MAX_SAFE_INTEGER;const Q2=1.5;async function kH(n){return fs.emotion||(fs.emotion=await Vn.loadGraphModel(n.face.emotion.modelPath)),fs.emotion}async function FH(n,t){if(Ip<t.face.emotion.skipFrames)return Ip+=1,Z2;Ip=0;const e=Vn.image.resizeBilinear(n,[t.face.emotion.inputSize,t.face.emotion.inputSize],!1),[r,i,a]=Vn.split(e,3,3);e.dispose();const s=Vn.mul(r,[.2989]),o=Vn.mul(i,[.587]),c=Vn.mul(a,[.114]);r.dispose(),i.dispose(),a.dispose();const l=Vn.addN([s,o,c]);s.dispose(),o.dispose(),c.dispose();const u=[];if(t.face.emotion.enabled){let h;if(t.profile){const d=await Vn.profile(()=>fs.emotion.predict(l));h=d.result.dataSync(),d.result.dispose(),EH.run("emotion",d)}else{const d=await fs.emotion.predict(l);h=d.dataSync(),Vn.dispose(d)}for(let d=0;d<h.length;d++)Q2*h[d]>t.face.emotion.minConfidence&&u.push({score:Math.min(.99,Math.trunc(100*Q2*h[d])/100),emotion:DH[d]});u.sort((d,p)=>p.score-d.score)}return Vn.dispose(l),Z2=u,u}Sp.predict=FH;Sp.load=kH}),nx=we(tx=>{const WH=zt();class UH{constructor(n,t){this.model=n,this.outputStride=t}predict(n){return WH.tidy(()=>{const t=this.preprocessInput(n.toFloat()),e=t.expandDims(0),r=this.model.predict(e),i=r.map(s=>s.squeeze([0])),a=this.nameOutputResults(i);return{heatmapScores:a.heatmap.sigmoid(),offsets:a.offsets,displacementFwd:a.displacementFwd,displacementBwd:a.displacementBwd}})}dispose(){this.model.dispose()}}tx.BaseModel=UH}),Ap=we(rx=>{const ix=zt(),BH=nx();class zH extends BH.BaseModel{preprocessInput(n){return ix.tidy(()=>ix.div(n,127.5).sub(1))}nameOutputResults(n){const[t,e,r,i]=n;return{offsets:t,heatmap:e,displacementFwd:r,displacementBwd:i}}}rx.MobileNet=zH}),sx=we(ax=>{function Tp(n){return Math.floor(n/2)}class PH{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(Tp(n),n);)this.exchange(n,Tp(n)),n=Tp(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}}ax.MaxHeap=PH}),cx=we(ox=>{const MH=sx();function HH(n,t,e,r,i,a){const[s,o]=a.shape;let c=!0;const l=Math.max(e-i,0),u=Math.min(e+i+1,s);for(let h=l;h<u;++h){const d=Math.max(r-i,0),p=Math.min(r+i+1,o);for(let f=d;f<p;++f)if(a.get(h,f,n)>t){c=!1;break}if(!c)break}return c}function VH(n,t,e){const[r,i,a]=e.shape,s=new MH.MaxHeap(r*i*a,({score:o})=>o);for(let o=0;o<r;++o)for(let c=0;c<i;++c)for(let l=0;l<a;++l){const u=e.get(o,c,l);if(u<n)continue;HH(l,u,o,c,t,e)&&s.enqueue({score:u,part:{heatmapY:o,heatmapX:c,id:l}})}return s}ox.buildPartWithScoreQueue=VH}),ms=we(Nn=>{Nn.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];Nn.NUM_KEYPOINTS=Nn.partNames.length;Nn.partIds=Nn.partNames.reduce((n,t,e)=>(n[t]=e,n),{});const GH=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];Nn.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"]];Nn.connectedPartIndices=GH.map(([n,t])=>[Nn.partIds[n],Nn.partIds[t]]);Nn.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"]}),_p=we(Fr=>{const 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px(n,t,e,r,i,a,s,o=2){const[c,l]=r.shape,u=Rp(t.position,a,c,l),h=JH(n,u,s),d=pa.addVectors(t.position,h);let p=d;for(let g=0;g<o;g++){const y=Rp(p,a,c,l),w=pa.getOffsetPoint(y.y,y.x,e,i);p=pa.addVectors({x:y.x*a,y:y.y*a},{x:w.x,y:w.y})}const f=Rp(p,a,c,l),m=r.get(f.y,f.x,e);return{position:p,part:gs.partNames[e],score:m}}function ZH(n,t,e,r,i,a){const s=t.shape[2],o=Cp.length,c=new Array(s),{part:l,score:u}=n,h=pa.getImageCoords(l,r,e);c[l.id]={score:u,part:gs.partNames[l.id],position:h};for(let d=o-1;d>=0;--d){const p=Cp[d],f=dx[d];c[p]&&!c[f]&&(c[f]=px(d,c[p],f,t,e,r,a))}for(let d=0;d<o;++d){const p=dx[d],f=Cp[d];c[p]&&!c[f]&&(c[f]=px(d,c[p],f,t,e,r,i))}return c}ux.decodePose=ZH}),Op=we(mx=>{const QH=cx(),eV=fx(),gx=_p();function yx(n,t,{x:e,y:r},i){return n.some(({keypoints:a})=>{const s=a[i].position;return gx.squaredDistance(r,e,s.y,s.x)<=t})}function tV(n,t,e){const r=e.reduce((i,{position:a,score:s},o)=>(yx(n,t,a,o)||(i+=s),i),0);return r/e.length}const nV=1;function 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Promise.all(n.map(t=>t.buffer()))}Wr.toTensorBuffers3D=cV;function xx(n,t,e){return{score:n.score,keypoints:n.keypoints.map(({score:r,part:i,position:a})=>({score:r,part:i,position:{x:a.x*e,y:a.y*t}}))}}Wr.scalePose=xx;function lV(n,[t,e]){const r=n.squeeze(0),i=r.resizeBilinear([t,e]);return r.dispose(),i}Wr.resizeTo=lV;function uV(n,[t,e],[r,i]){const a=n.map(s=>xx(s,t/r,e/i));return a}Wr.scaleAndFlipPoses=uV}),Sx=we(Dp=>{const hV=zt(),dV=Ap(),pV=Op(),kp=Ep();class Lx{constructor(n){this.baseModel=n}async estimatePoses(n,t){const e=t.outputStride,r=n.shape[1],i=n.shape[2],a=kp.resizeTo(n,[t.inputResolution,t.inputResolution]),{heatmapScores:s,offsets:o,displacementFwd:c,displacementBwd:l}=this.baseModel.predict(a),u=await kp.toTensorBuffers3D([s,o,c,l]),h=u[0],d=u[1],p=u[2],f=u[3],m=await pV.decodeMultiplePoses(h,d,p,f,e,t.maxDetections,t.scoreThreshold,t.nmsRadius),g=kp.scaleAndFlipPoses(m,[r,i],[t.inputResolution,t.inputResolution]);return s.dispose(),o.dispose(),c.dispose(),l.dispose(),a.dispose(),g}dispose(){this.baseModel.dispose()}}Dp.PoseNet=Lx;async function fV(n){const t=await hV.loadGraphModel(n.modelPath),e=new dV.MobileNet(t,n.outputStride);return new Lx(e)}async function mV(n){return fV(n)}Dp.load=mV}),Ax=we(tn=>{const gV=Ap(),Ix=Sx(),yV=Op(),rc=ms(),ys=Ep();tn.load=Ix.load;tn.PoseNet=Ix.PoseNet;tn.MobileNet=gV.MobileNet;tn.decodeMultiplePoses=yV.decodeMultiplePoses;tn.partChannels=rc.partChannels;tn.partIds=rc.partIds;tn.partNames=rc.partNames;tn.poseChain=rc.poseChain;tn.getAdjacentKeyPoints=ys.getAdjacentKeyPoints;tn.getBoundingBox=ys.getBoundingBox;tn.getBoundingBoxPoints=ys.getBoundingBoxPoints;tn.scaleAndFlipPoses=ys.scaleAndFlipPoses;tn.scalePose=ys.scalePose}),Up=we(vV=>{ga(vV,{cutBoxFromImageAndResize:()=>bV,enlargeBox:()=>LV,getBoxCenter:()=>Wp,getBoxSize:()=>Fp,scaleBoxCoordinates:()=>xV,shiftBox:()=>IV,squarifyBox:()=>SV});const wV=zt();function Fp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}function Wp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}function bV(n,t,e){const r=t.shape[1],i=t.shape[2],a=[[n.startPoint[1]/r,n.startPoint[0]/i,n.endPoint[1]/r,n.endPoint[0]/i]];return wV.image.cropAndResize(t,a,[0],e)}function xV(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],r=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]],i=n.palmLandmarks.map(a=>{const s=[a[0]*t[0],a[1]*t[1]];return s});return{startPoint:e,endPoint:r,palmLandmarks:i}}function LV(n,t=1.5){const e=Wp(n),r=Fp(n),i=[t*r[0]/2,t*r[1]/2],a=[e[0]-i[0],e[1]-i[1]],s=[e[0]+i[0],e[1]+i[1]];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}function SV(n){const t=Wp(n),e=Fp(n),r=Math.max(...e),i=r/2,a=[t[0]-i,t[1]-i],s=[t[0]+i,t[1]+i];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}function IV(n,t){const e=[n.endPoint[0]-n.startPoint[0],n.endPoint[1]-n.startPoint[1]],r=[e[0]*t[0],e[1]*t[1]],i=[n.startPoint[0]+r[0],n.startPoint[1]+r[1]],a=[n.endPoint[0]+r[0],n.endPoint[1]+r[1]];return{startPoint:i,endPoint:a,palmLandmarks:n.palmLandmarks}}}),Nx=we(Tx=>{const $e=zt(),AV=Up();class TV{constructor(n,t,e){this.model=n,this.width=t,this.height=t,this.anchors=e.map(r=>[r.x_center,r.y_center]),this.anchorsTensor=$e.tensor2d(this.anchors),this.inputSizeTensor=$e.tensor1d([t,t]),this.doubleInputSizeTensor=$e.tensor1d([t*2,t*2])}normalizeBoxes(n){return $e.tidy(()=>{const t=$e.slice(n,[0,0],[-1,2]),e=$e.slice(n,[0,2],[-1,2]),r=$e.add($e.div(t,this.inputSizeTensor),this.anchorsTensor),i=$e.div(e,this.doubleInputSizeTensor),a=$e.mul($e.sub(r,i),this.inputSizeTensor),s=$e.mul($e.add(r,i),this.inputSizeTensor);return $e.concat2d([a,s],1)})}normalizeLandmarks(n,t){return $e.tidy(()=>{const e=$e.add($e.div(n.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return 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c=o.boxes.arraySync(),l=c[0].slice(0,2),u=c[0].slice(2,4),h=o.palmLandmarks.arraySync();i.dispose(),o.boxes.dispose(),o.palmLandmarks.dispose(),s.push(AV.scaleBoxCoordinates({startPoint:l,endPoint:u,palmLandmarks:h},[r/this.width,e/this.height]))}return s}}Tx.HandDetector=TV}),Ex=we(NV=>{ga(NV,{buildRotationMatrix:()=>CV,computeRotation:()=>_V,dot:()=>fa,getColumnFrom2DArr:()=>Rx,invertTransformMatrix:()=>RV,normalizeRadians:()=>_x,rotatePoint:()=>OV});function _x(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}function _V(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return _x(e)}const Cx=(n,t)=>[[1,0,n],[0,1,t],[0,0,1]];function fa(n,t){let e=0;for(let r=0;r<n.length;r++)e+=n[r]*t[r];return e}function Rx(n,t){const e=[];for(let r=0;r<n.length;r++)e.push(n[r][t]);return e}function Ox(n,t){const e=[],r=n.length;for(let i=0;i<r;i++){e.push([]);for(let a=0;a<r;a++)e[i].push(fa(n[i],Rx(t,a)))}return e}function CV(n,t){const e=Math.cos(n),r=Math.sin(n),i=[[e,-r,0],[r,e,0],[0,0,1]],a=Cx(t[0],t[1]),s=Ox(a,i),o=Cx(-t[0],-t[1]);return Ox(s,o)}function RV(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],r=[-fa(t[0],e),-fa(t[1],e)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}function OV(n,t){return[fa(n,t[0]),fa(n,t[1])]}}),Wx=we(Dx=>{const kx=zt(),Gn=Up(),Ur=Ex(),EV=.8,DV=[0,-.4],kV=3,FV=[0,-.1],WV=1.65,Fx=[0,5,9,13,17,1,2],UV=0,BV=2;class zV{constructor(n,t,e){this.boundingBoxDetector=n,this.meshDetector=t,this.inputSize=e,this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.maxHandsNumber=1,this.skipFrames=0}getBoxForPalmLandmarks(n,t){const e=n.map(i=>{const a=[...i,1];return Ur.rotatePoint(a,t)}),r=this.calculateLandmarksBoundingBox(e);return Gn.enlargeBox(Gn.squarifyBox(Gn.shiftBox(r,DV)),kV)}getBoxForHandLandmarks(n){const t=this.calculateLandmarksBoundingBox(n),e=Gn.enlargeBox(Gn.squarifyBox(Gn.shiftBox(t,FV)),WV),r=[];for(let i=0;i<Fx.length;i++)r.push(n[Fx[i]].slice(0,2));return e.palmLandmarks=r,e}transformRawCoords(n,t,e,r){const i=Gn.getBoxSize(t),a=[i[0]/this.inputSize,i[1]/this.inputSize],s=n.map(d=>[a[0]*(d[0]-this.inputSize/2),a[1]*(d[1]-this.inputSize/2),d[2]]),o=Ur.buildRotationMatrix(e,[0,0]),c=s.map(d=>{const p=Ur.rotatePoint(d,o);return[...p,d[2]]}),l=Ur.invertTransformMatrix(r),u=[...Gn.getBoxCenter(t),1],h=[Ur.dot(u,l[0]),Ur.dot(u,l[1])];return c.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHands(n,t){this.skipFrames=t.skipFrames;const e=this.shouldUpdateRegionsOfInterest();if(e){const i=await this.boundingBoxDetector.estimateHandBounds(n,t);if(this.regionsOfInterest=[],!i||i.length===0)return n.dispose(),null;for(const a of i)this.regionsOfInterest.push(a);this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const r=[];for(const i in this.regionsOfInterest){const a=this.regionsOfInterest[i];if(!a)continue;const s=Ur.computeRotation(a.palmLandmarks[UV],a.palmLandmarks[BV]),o=Gn.getBoxCenter(a),c=[o[0]/n.shape[2],o[1]/n.shape[1]],l=kx.image.rotateWithOffset(n,s,0,c),u=Ur.buildRotationMatrix(-s,o),h=e?this.getBoxForPalmLandmarks(a.palmLandmarks,u):a,d=Gn.cutBoxFromImageAndResize(h,l,[this.inputSize,this.inputSize]),p=d.div(255);d.dispose(),l.dispose();const f=this.meshDetector.predict(p),[m,g]=f;p.dispose();const y=m.dataSync()[0];if(m.dispose(),y<t.minConfidence)return g.dispose(),this.regionsOfInterest[i]=null,null;const w=kx.reshape(g,[-1,3]),b=w.arraySync();g.dispose(),w.dispose();const x=this.transformRawCoords(b,h,s,u),L=this.getBoxForHandLandmarks(x);this.updateRegionsOfInterest(L,i);const N={landmarks:x,handInViewConfidence:y,boundingBox:{topLeft:L.startPoint,bottomRight:L.endPoint}};r.push(N)}return r}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),r=[Math.min(...t),Math.min(...e)],i=[Math.max(...t),Math.max(...e)];return{startPoint:r,endPoint:i}}updateRegionsOfInterest(n,t){const e=this.regionsOfInterest[t];let 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PV.HandDetector(t,n.inputSize,HV.anchors),i=new MV.HandPipeline(r,e,n.inputSize),a=new Px(i);return a}Bp.load=VV}),Hx=we(ic=>{ic.body=n=>{if(!n)return[];const t=[];for(const e of n){const r=e.keypoints.find(c=>c.part==="leftWrist"),i=e.keypoints.find(c=>c.part==="rightWrist"),a=e.keypoints.find(c=>c.part==="nose");a&&r&&i&&r.position.y<a.position.y&&i.position.y<a.position.y?t.push("i give up"):a&&r&&r.position.y<a.position.y?t.push("raise left hand"):a&&i&&i.position.y<a.position.y&&t.push("raise right hand");const s=e.keypoints.find(c=>c.part==="leftShoulder"),o=e.keypoints.find(c=>c.part==="rightShoulder");s&&o&&t.push(`leaning ${s.position.y>o.position.y?"left":"right"}`)}return t};ic.face=n=>{if(!n)return[];const t=[];for(const e of n)e.annotations.rightCheek&&e.annotations.leftCheek&&e.annotations.rightCheek.length>0&&e.annotations.leftCheek.length>0&&t.push(`facing ${e.annotations.rightCheek[0][2]>0||e.annotations.leftCheek[0][2]<0?"right":"left"}`);return t};ic.hand=n=>{if(!n)return[];const t=[];for(const e of n){const r=[];for(const[s,o]of Object.entries(e.annotations))s!=="palmBase"&&r.push({name:s.toLowerCase(),position:o[0]});const i=r.reduce((s,o)=>s.position[2]<o.position[2]?s:o),a=r.reduce((s,o)=>s.position[1]<o.position[1]?s:o);t.push(`${i.name} forward ${a.name} up`)}return t}}),Gx=we(Vx=>{const GV=function(n,t,e){const r=function(o,c,l){const u=new RegExp("\\b"+c+" \\w+ (\\w+)","ig");o.replace(u,(h,d)=>(l[d]=0,h))},i=function(o,c){const l=n.createShader(c);if(n.shaderSource(l,o),n.compileShader(l),!n.getShaderParameter(l,n.COMPILE_STATUS))throw new Error("Filter: GL compile failed",n.getShaderInfoLog(l));return l};this.uniform={},this.attribute={};const a=i(t,n.VERTEX_SHADER),s=i(e,n.FRAGMENT_SHADER);if(this.id=n.createProgram(),n.attachShader(this.id,a),n.attachShader(this.id,s),n.linkProgram(this.id),!n.getProgramParameter(this.id,n.LINK_STATUS))throw new Error("Filter: GL link 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3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition",sideEffects:!1,main:"dist/human.node.js",module:"dist/human.esm.js",browser:"dist/human.esm.js",author:"Vladimir Mandic <mandic00@live.com>",bugs:{url:"https://github.com/vladmandic/human/issues"},homepage:"https://github.com/vladmandic/human#readme",license:"MIT",engines:{node:">=14.0.0"},repository:{type:"git",url:"git+https://github.com/vladmandic/human.git"},dependencies:{},peerDependencies:{},devDependencies:{"@tensorflow/tfjs":"^2.7.0","@tensorflow/tfjs-node":"^2.7.0","@vladmandic/pilogger":"^0.2.7",dayjs:"^1.9.4",esbuild:"^0.7.22",eslint:"^7.12.1","eslint-config-airbnb-base":"^14.2.0","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.2.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.21.0"},scripts:{start:"node --trace-warnings --unhandled-rejections=strict 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--external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit",changelog:"node changelog.js"},keywords:["tensorflowjs","face-detection","face-geometry","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"]}}),eL=we(XV=>{ga(XV,{default:()=>Qx});const nn=zt(),Xx=K2(),ac=J2(),Pp=ex(),Jx=Ax(),Zx=Mx(),Mp=Hx(),JV=Yx(),ZV=tc(),sc=Kx().default,QV=$x(),eG={face:{detector:{skipFrames:0},age:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},At=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function oc(...n){const t=e=>e&&typeof e=="object";return n.reduce((e,r)=>(Object.keys(r||{}).forEach(i=>{const a=e[i],s=r[i];Array.isArray(a)&&Array.isArray(s)?e[i]=a.concat(...s):t(a)&&t(s)?e[i]=oc(a,s):e[i]=s}),e),{})}class Qx{constructor(){this.tf=nn,this.version=QV.version,this.defaults=sc,this.config=sc,this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=Xx,this.ssrnet=ac,this.emotion=Pp,this.posenet=Jx,this.handpose=Zx}log(...n){n&&this.config.console&&console.log("Human:",...n)}profile(){return this.config.profile?ZV.data:{}}analyze(...n){if(!this.analyzeMemoryLeaks)return;const t=nn.engine().state.numTensors,e=this.numTensors;this.numTensors=t;const r=t-e;r!==0&&this.log(...n,r)}sanity(n){if(!this.checkSanity)return null;if(!n)return"input is not defined";if(nn.ENV.flags.IS_NODE&&!(n instanceof nn.Tensor))return"input must be a tensor";try{nn.getBackend()}catch{return"backend not loaded"}return null}async load(n){n&&(this.config=oc(sc,n)),this.firstRun&&(this.checkBackend(!0),this.log(`version: ${this.version} TensorFlow/JS version: ${nn.version_core}`),this.log("configuration:",this.config),this.log("flags:",nn.ENV.flags),this.firstRun=!1),this.config.face.enabled&&!this.models.facemesh&&(this.log("load model: face"),this.models.facemesh=await Xx.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.log("load model: body"),this.models.posenet=await Jx.load(this.config.body)),this.config.hand.enabled&&!this.models.handpose&&(this.log("load model: hand"),this.models.handpose=await Zx.load(this.config.hand)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.log("load model: age"),this.models.age=await ac.loadAge(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.log("load model: gender"),this.models.gender=await ac.loadGender(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.log("load model: emotion"),this.models.emotion=await Pp.load(this.config))}async checkBackend(n){(n||nn.getBackend()!==this.config.backend)&&(this.state="backend",this.log("setting backend:",this.config.backend),await nn.setBackend(this.config.backend),nn.enableProdMode(),this.config.deallocate&&this.config.backend==="webgl"&&(this.log("Changing WebGL: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),nn.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),await nn.ready())}async detect(n,t={}){this.state="config";const e={};let r;this.config=oc(sc,t),this.config.videoOptimized||(this.config=oc(this.config,eG)),this.state="check";const i=this.sanity(n);return i?(this.log(i,n),{error:i}):new Promise(async a=>{let s,o,c,l;const u=At();r=At(),await this.checkBackend(),e.backend=Math.trunc(At()-r),r=At(),this.state="load",await this.load(),e.load=Math.trunc(At()-r),this.config.scoped&&nn.engine().startScope(),this.analyze("Start Detect:"),r=At();const h=JV.process(n,this.config);e.image=Math.trunc(At()-r);const d=[];if(this.config.face.enabled){this.state="run:face",r=At(),this.analyze("Start FaceMesh:");const f=await this.models.facemesh.estimateFaces(h.tensor,this.config.face);e.face=Math.trunc(At()-r);for(const m of f){if(!m.image||m.image.isDisposedInternal){this.log("Face object is disposed:",m.image);continue}this.state="run:agegender",r=At(),c=this.config.face.age.enabled||this.config.face.gender.enabled?await ac.predict(m.image,this.config):{},e.agegender=Math.trunc(At()-r),this.state="run:emotion",r=At(),l=this.config.face.emotion.enabled?await Pp.predict(m.image,this.config):{},e.emotion=Math.trunc(At()-r),m.image.dispose();const g=m.annotations.leftEyeIris&&m.annotations.rightEyeIris?Math.max(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0],m.annotations.rightEyeIris[3][0]-m.annotations.rightEyeIris[1][0]):0;d.push({confidence:m.confidence,box:m.box,mesh:m.mesh,annotations:m.annotations,age:c.age,gender:c.gender,agConfidence:c.confidence,emotion:l,iris:g!==0?Math.trunc(100*11.7/g)/100:0}),this.analyze("End FaceMesh:")}}this.config.async?s=this.config.body.enabled?this.models.posenet.estimatePoses(h.tensor,this.config.body):[]:(this.state="run:body",r=At(),this.analyze("Start PoseNet"),s=this.config.body.enabled?await this.models.posenet.estimatePoses(h.tensor,this.config.body):[],this.analyze("End PoseNet:"),e.body=Math.trunc(At()-r)),this.config.async?o=this.config.hand.enabled?this.models.handpose.estimateHands(h.tensor,this.config.hand):[]:(this.state="run:hand",r=At(),this.analyze("Start HandPose:"),o=this.config.hand.enabled?await this.models.handpose.estimateHands(h.tensor,this.config.hand):[],this.analyze("End HandPose:"),e.hand=Math.trunc(At()-r)),this.config.async&&([s,o]=await Promise.all([s,o])),h.tensor.dispose(),this.state="idle",this.config.scoped&&nn.engine().endScope(),this.analyze("End Scope:");let p=[];this.config.gesture.enabled&&(r=At(),p={body:Mp.body(s),hand:Mp.hand(o),face:Mp.face(d)},e.gesture=Math.trunc(At()-r)),e.total=Math.trunc(At()-u),a({face:d,body:s,hand:o,gesture:p,performance:e,canvas:h.canvas})})}}});return eL();})();
/*! *****************************************************************************
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
KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
MERCHANTABLITY OR NON-INFRINGEMENT.
See the Apache Version 2.0 License for specific language governing permissions
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***************************************************************************** */
/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the License);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/** @license See the LICENSE file. */
//# sourceMappingURL=human.js.map
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