https://www.tritonesr.us/assets/nmp/assets/wasm-D0Hn0VcB.js

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4`;for(let e=2;e<c;e++)m+=`
5`;return f[f.length-1]=` `+f[f.length-1]+`]`+(a?``:m),f}function yi(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var bi=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=g(e),n!=null){let e=n.length;p(e===this.size,()=>`Length of values '${e}' does not match the size inferred by the shape '${this.size}'.`)}if(t===`complex64`)throw Error(`complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).`);this.values=n||O(t,this.size),this.strides=M(e)}set(e,...t){t.length===0&&(t=[0]),p(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let t=`Requested out of range element at ${e}.   Buffer shape=${this.shape}`;throw Error(t)}t++}let n=e[e.length-1];for(let t=0;t<e.length-1;++t)n+=this.strides[t]*e[t];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];let t=Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return xi().makeTensor(this.values,this.shape,this.dtype)}},xi=null,Si=null;function Ci(e){xi=e}

5function wi(e){Si=e}var Ti=class{constructor(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||`float32`,this.size=g(e),this.strides=M(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():`higher`}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Si.buffer(this.shape,this.dtype,e)}bufferSync(){return Si.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return le(this.shape,e,this.dtype===`complex64`)}arraySync(){return le(this.shape,this.dataSync(),this.dtype===`complex64`)}async data(){this.throwIfDisposed();let e=xi().read(this.dataId);if(this.dtype===`string`){let t=await e;try{return t.map(e=>ri(e))}catch{throw Error(`Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().`)}}return e}dataToGPU(e){return this.throwIfDisposed(),xi().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=xi().readSync(this.dataId);if(this.dtype===`string`)try{return e.map(e=>ri(e))}catch{throw Error(`Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().`)}return e}async bytes(){this.throwIfDisposed();let e=await xi().read(this.dataId);return this.dtype===`string`?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(this.kerasMask&&this.kerasMask.dispose(),xi().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw Error(`Tensor is disposed.`)}print(e=!1){return Si.print(this,e)}clone(){return this.throwIfDisposed(),Si.clone(this)}toString(e=!1){return mi(this.dataSync(),this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Si.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),xi().makeVariable(this,e,t,n)}};Object.defineProperty(Ti,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Ei(){return Oe(`Tensor`,()=>Ti)}Ei();var Di=class extends Ti{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!y(e.shape,this.shape))throw Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);xi().disposeTensor(this),this.dataId=e.dataId,xi().incRef(this,null)}dispose(){xi().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Di,Symbol.hasInstance,{value:e=>e instanceof Ti&&e.assign!=null&&e.assign instanceof Function});var Oi;(function(e){e.R0=`R0`,e.R1=`R1`,e.R2=`R2`,e.R3=`R3`,e.R4=`R4`,e.R5=`R5`,e.R6=`R6`})(Oi||={});var ki;(function(e){e.float32=`float32`,e.int32=`int32`,e.bool=`int32`,e.complex64=`complex64`})(ki||={});var Ai;(function(e){e.float32=`float32`,e.int32=`int32`,e.bool=`bool`,e.complex64=`complex64`})(Ai||={});var ji;(function(e){e.float32=`float32`,e.int32=`float32`,e.bool=`float32`,e.complex64=`complex64`})(ji||={});var Mi;(function(e){e.float32=`complex64`,e.int32=`complex64`,e.bool=`complex64`,e.complex64=`complex64`})(Mi||={});var Ni={float32:ji,int32:ki,bool:Ai,complex64:Mi};function Pi(e,t){if(e===`string`||t===`string`){if(e===`string`&&t===`string`)return`string`;throw Error(`Can not upcast ${e} with ${t}`)}return Ni[e][t]}function Fi(e){return Pi(e,`int32`)}function Ii(e){return typeof e==`object`&&!!e&&`texture`in e&&e.texture instanceof WebGLTexture}function Li(e){return typeof GPUBuffer<`u`&&typeof e==`object`&&!!e&&`buffer`in e&&e.buffer instanceof GPUBuffer}function I(e,t){if(e.dtype===t.dtype)return[e,t];let n=Pi(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Ri(e,t){p(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function zi(e,t){return t.some(t=>t.id===e.id)}function Bi(e){let t=[];return Vi(e,t,new Set),t}function Vi(e,t,n){if(e==null)return;if(e instanceof Ti){t.push(e);return}if(!Hi(e))return;let r=e;for(let e in r){let i=r[e];n.has(i)||(n.add(i),Vi(i,t,n))}}function Hi(e){return Array.isArray(e)||typeof e==`object`}function Ui(e){return e.kernelName!=null}var Wi=class{constructor(){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,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Gi=class e{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Wi}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t<e.length;t++){let n=e[t];if(await this.initializeBackend(n).success){await this.setBackend(n);return}}throw Error(`Could not initialize any backends, all backend initializations failed.`)}

5get backend(){if(this.pendingBackendInit!=null)throw Error(`Backend '${this.backendName}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);if(this.backendInstance==null){let{name:e,asyncInit:t}=this.initializeBackendsAndReturnBest();if(t)throw Error(`The highest priority backend '${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}backendNames(){return Object.keys(this.registryFactory)}findBackend(e){if(!(e in this.registry)){if(e in this.registryFactory){let{asyncInit:t}=this.initializeBackend(e);if(t)return null}else return null}return this.registry[e]}findBackendFactory(e){return e in this.registryFactory?this.registryFactory[e].factory:null}registerBackend(e,t,n=1){return e in this.registryFactory?(Cr(`${e} backend was already registered. Reusing existing backend factory.`),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}async setBackend(e){if(this.registryFactory[e]==null)throw Error(`Backend name '${e}' not found in registry`);

5if(this.backendName=e,this.registry[e]==null){this.backendInstance=null;let{success:t,asyncInit:n}=this.initializeBackend(e);if(!(n?await t:t))return!1}return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new oi(this.backendInstance),!0}setupRegisteredKernels(){kr(this.backendName).forEach(e=>{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){kr(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof o)&&typeof n.then==`function`){let t=++this.pendingBackendInitId,r=n.then(n=>t<this.pendingBackendInitId?!1:(this.registry[e]=n,this.pendingBackendInit=null,!0)).catch(n=>t<this.pendingBackendInitId?!1:(this.pendingBackendInit=null,Cr(`Initialization of backend ${e} failed`),Cr(n.stack||n.message),!1));return this.pendingBackendInit=r,{success:r,asyncInit:!0}}return this.registry[e]=n,{success:!0,asyncInit:!1}}catch(t){return Cr(`Initialization of backend ${e} failed`),Cr(t.stack||t.message),{success:!1,asyncInit:!1}}}removeBackend(e){if(!(e in this.registryFactory))throw Error(`${e} backend not found in registry`);this.backendName===e&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}getSortedBackends(){if(Object.keys(this.registryFactory).length===0)throw Error(`No backend found in registry.`);return Object.keys(this.registryFactory).sort((e,t)=>this.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;t<e.length;t++){let n=e[t],{success:r,asyncInit:i}=this.initializeBackend(n);if(i||r)return{name:n,asyncInit:i}}throw Error(`Could not initialize any backends, all backend initializations failed.`)}moveData(e,t){let n=this.state.tensorInfo.get(t),r=n.backend,i=this.readSync(t),a=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,i,n.shape,n.dtype,a),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}tidy(e,t){let n=null;if(t==null){if(typeof e!=`function`)throw Error(`Please provide a function to tidy()`);t=e}else{if(typeof e!=`string`&&!(e instanceof String))throw Error(`When calling with two arguments, the first argument to tidy() must be a string`);if(typeof t!=`function`)throw Error(`When calling with two arguments, the 2nd argument to tidy() must be a function`);n=e}let r;return this.scopedRun(()=>this.startScope(n),()=>this.endScope(r),()=>(r=t(),r instanceof Promise&&console.error(`Cannot return a Promise inside of tidy.`),r))}scopedRun(e,t,n){e();try{let e=n();return t(),e}catch(e){throw t(),e}}nextTensorId(){return e.nextTensorId++}nextVariableId(){return e.nextVariableId++}clone(e){let t=L.runKernel(Ft,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],e=>({x:()=>{let t={x:e};return L.runKernel(Ye,t,{dtype:`float32`})}}),[],{}),t}runKernel(e,t,n){if(this.backendName??this.backend,Dr(e,this.backendName)==null)throw Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool(`IS_TEST`)}checkKernelForMemLeak(e,t,n){let r=this.backend.numDataIds(),i=0;n.forEach(e=>{i+=e.dtype===`complex64`?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-i-a;if(o>0)throw Error(`Backend '${this.backendName}' has an internal memory leak (${o} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],r=this.isTapeOn(),i=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let o;this.backendName??this.backend;let s,c=Ui(e)?e.kernelName:this.state.activeScope==null?``:this.state.activeScope.name;if(Ui(e)){let{kernelName:t,inputs:i,attrs:a}=e;this.backendName??this.backend;let c=Dr(t,this.backendName);p(c!=null,()=>`Cannot find registered kernel '${t}' for backend '${this.backendName}'`),o=()=>{let e=this.backend.numDataIds();

5s=c.kernelFunc({inputs:i,attrs:a,backend:this.backend});let o=Array.isArray(s)?s:[s];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(t,e,o);let l=o.map(e=>e.rank==null?this.makeTensorFromTensorInfo(e):e);if(r){let e=this.getTensorsForGradient(t,i,l);n=this.saveTensorsForBackwardMode(e)}return l}}else{let{forwardFunc:t}=e,i=e=>{r&&(n=e.map(e=>this.keep(this.clone(e))))};o=()=>{let e=this.backend.numDataIds();s=this.tidy(()=>t(this.backend,i));let n=Array.isArray(s)?s:[s];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(c,e,n),n}}let{inputs:l,attrs:u}=e,d=Ui(e)?null:e.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(`DEBUG`)&&!this.state.profiling?t=o():(f=this.profiler.profileKernel(c,l,()=>o()),this.ENV.getBool(`DEBUG`)&&this.profiler.logKernelProfile(f),t=f.outputs)}),r&&this.addTapeNode(c,l,t,d,n,u),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-i,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(l).map(e=>l[e]==null?null:l[e].shape),outputShapes:t.map(e=>e.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(s)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(e=>this.keep(this.clone(e)))}getTensorsForGradient(e,t,n){let r=Or(e);if(r!=null){let e=r.inputsToSave||[],i=r.outputsToSave||[],a;r.saveAllInputs?(p(Array.isArray(t),()=>`saveAllInputs is true, expected inputs to be an array.`),a=Object.keys(t).map(e=>t[e])):a=e.map(e=>t[e]);let o=n.filter((e,t)=>i[t]);return a.concat(o)}return[]}makeTensor(e,t,n,r){if(e==null)throw Error(`Values passed to engine.makeTensor() are null`);n||=`float32`,r||=this.backend;let i=e;n===`string`&&ne(e[0])&&(i=e.map(e=>ni(e)));let a=r.write(i,t,n),o=new Ti(t,n,a,this.nextTensorId());if(this.trackTensor(o,r),n===`string`){let e=this.state.tensorInfo.get(a),t=te(i);this.state.numBytes+=t-e.bytes,e.bytes=t}return o}makeTensorFromDataId(e,t,n,r){n||=`float32`;let i={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(i,r)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:r,dtype:i}=e,a=new Ti(r,i,n,this.nextTensorId());return this.trackTensor(a,t),a}makeVariable(e,t=!0,n,r){n||=this.nextVariableId().toString(),r!=null&&r!==e.dtype&&(e=e.cast(r));let i=new Di(e,t,n,this.nextTensorId());if(this.state.registeredVariables[i.name]!=null)throw Error(`Variable with name ${i.name} was already registered`);return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i}trackTensor(e,t){this.state.numTensors++,e.dtype===`string`&&this.state.numStringTensors++;let n=0;e.dtype!==`complex64`&&e.dtype!==`string`&&(n=e.size*j(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof Di||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype===`string`&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!==`complex64`&&e.dtype!==`string`){let t=e.size*j(e.dtype);this.state.numBytes-=t}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons??=[],e.reasons.push(`Memory usage by string tensors is approximate (2 bytes per character)`)),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(e=>e.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let e of this.state.activeProfile.kernels)e.kernelTimeMs=await e.kernelTimeMs,e.extraInfo=await e.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>

50&&this.state.kernelDepth===0}addTapeNode(e,t,n,r,i,a){let o={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:i},s=Or(e);s!=null&&(r=s.gradFunc),r!=null&&(o.gradient=e=>(e=e.map((e,t)=>{if(e==null){let e=n[t],r=fe(e.size,e.dtype);return this.makeTensor(r,e.shape,e.dtype)}return e}),r(e.length>1?e:e[0],i,a))),this.state.activeTape.push(o)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:`unnamed scope`,id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Bi(e),n=new Set(t.map(e=>e.id));for(let e=0;e<this.state.activeScope.track.length;e++){let t=this.state.activeScope.track[e];!t.kept&&!n.has(t.id)&&t.dispose()}let r=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],t.forEach(e=>{!e.kept&&e.scopeId===r.id&&this.track(e)})}gradients(e,t,n,r=!1){if(p(t.length>0,()=>`gradients() received an empty list of xs.`),n!=null&&n.dtype!==`float32`)throw Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let i=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(`forward`,e));p(i instanceof Ti,()=>`The result y returned by f() must be a tensor.`);let a=li(this.state.activeTape,t,i);if(!r&&a.length===0&&t.length>0)throw Error(`Cannot compute gradient of y=f(x) with respect to x. 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11return e!==t&&t.dispose(),r}var Sm=xm;async function Cm(e,t,n){let r=R(e,`tensor`,`boolMask`),i=R(t,`mask`,`boolMask`,`bool`),a=n??0,o=i.rank,s=r.shape;p(o>0,()=>`mask cannot be scalar`),m(s.slice(a,a+o),i.shape,`mask's shape must match the first K dimensions of tensor's shape,`);let c=1;for(let e=a;e<a+o;e++)c*=s[e];let l=G(r,s.slice(0,a).concat([c],s.slice(a+o))),u=G(i,[-1]),d=await Sm(u),f=Hp(d,[1]),h=du(l,f,a);return e!==r&&r.dispose(),t!==i&&i.dispose(),f.dispose(),l.dispose(),u.dispose(),d.dispose(),h}var wm=Cm;function Tm(e,t,n){let r=R(e,`x`,`transpose`);if(t??=r.shape.map((e,t)=>t).reverse(),p(r.rank===t.length,()=>`Error in transpose: rank of input ${r.rank} must match length of perm ${t}.`),t.forEach(e=>{p(e>=0&&e<r.rank,()=>`All entries in 'perm' must be between 0 and ${r.rank-1} but got ${t}`)}),r.rank<=1)return r.clone();let i={x:r},a={perm:t};return r.dtype===`complex64`?B(()=>{let e=Bf(r),t=_u(r);return e=L.runKernel(fr,{x:e},a),t=L.runKernel(fr,{x:t},a),n&&(t=Bu(t)),oa(e,t)}):L.runKernel(fr,i,a)}var Em=z({transpose_:Tm});function Dm(e,t,n,r,i=!0){let a=R(e,`v`,`movingAverage`),o=R(t,`x`,`movingAverage`),s=R(n,`decay`,`movingAverage`);Ri(a,o),p(y(a.shape,o.shape),()=>`Shape mismatch in v and x`);let c=Y(1),l=Z(c,s),u=W(Z(o,a),l);if(i){p(r!=null,()=>`When using zeroDebias: true, step is required.`);let e=R(r,`step`,`movingAverage`);u=U(u,Z(c,Vl(s,e)))}return H(a,u)}var Om=z({movingAverage_:Dm});function km(e,t,n){me(n);let r=R(e,`indices`,`scatterND`,`int32`),i=R(t,`updates`,`scatterND`);im(i,r,n);let a={indices:r,updates:i},o={shape:n};return L.runKernel(In,a,o)}var Am=z({scatterND_:km});function jm(e,t,n,r){if(e.dtype!==`int32`)throw Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let i=e.rank>0?e.shape[0]:1,a=e.rank>1?e.shape[1]:1;if(n.length!==a)throw Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${a}.`);let o=t.size;if(!(t.rank===0||t.rank===1&&o===i))throw Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${i}]`);if(t.dtype!==r.dtype)throw Error(`sparseValues.dtype must match defaultValues.dtype`)}function Mm(e,t,n,r=0){me(n);let i=R(e,`sparseIndices`,`sparseToDense`,`int32`),a=R(t,`sparseValues`,`sparseToDense`,`string_or_numeric`),o=R(r,`defaultValue`,`sparseToDense`,a.dtype);jm(i,a,n,o);let s={sparseIndices:i,sparseValues:a,defaultValue:o},c={outputShape:n};return L.runKernel(er,s,c)}var Nm=z({sparseToDense_:Mm});function Pm(e,t){let n=R(t,`indices`,`gatherND`,`int32`),r={params:R(e,`x`,`gatherND`,`string_or_numeric`),indices:n};return L.runKernel(Mt,r)}var Fm=z({gatherND_:Pm});function Im(e,t){if(t==null)return e.shape.slice();if(y(e.shape,t))return t;if(e.shape.length===t.length){let n=[];for(let r=0;r<e.shape.length;r++)t[r]==null&&e.shape[r]!=null?n.push(e.shape[r]):n.push(t[r]);return n}return t}function Lm(e,t,n,r){let i=R(e,`x`,`dropout`);if(p(i.dtype===`float32`,()=>`x has to be a floating point tensor since it's going to be scaled, but got a ${i.dtype} tensor instead.`),p(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof Ti?i.clone():i;let a=Im(i,n),o=1-t;return W(i,U(lu(H(Ff(a,0,1,`float32`,r),o)),o))}var Rm=z({dropout_:Lm});function zm(e){return Math.floor(2**Math.ceil(Math.log(e)/Math.log(2)))}function Bm(e,t,n){let r=1-e%2,i=new Float32Array(e);for(let a=0;a<e;++a){let o=2*Math.PI*a/(e+r-1);i[a]=t-n*Math.cos(o)}return Zp(i,`float32`)}async function Vm(e,t,n=1){let r=R(e,`predictions`,`inTopK`),i=R(t,`targets`,`inTopK`);p(r.rank>1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${r.rank}`),p(r.rank-1===i.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${r.rank} and targets rank ${i.rank}`),m(r.shape.slice(0,r.shape.length-1),i.shape,`predictions's shape should be align with the targets' shape, except the last dimension.`);let a=r.shape[r.shape.length-1];p(n>0&&n<=a,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${a}), but got ${n}`);let o=await r.data(),s=await i.data(),[c,l]=[o.length/a,a],u=D(`bool`,c);for(let e=0;e<c;e++){let t=e*l,r=o.subarray(t,t+l),i=[];for(let e=0;e<r.length;e++)i.push({value:r[e],index:e});i.sort((e,t)=>

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17let u={separator:n,nGramWidths:r,leftPad:i,rightPad:a,padWidth:o,preserveShortSequences:s},d={data:c,dataSplits:l},f=L.runKernel(ar,d,u);return{nGrams:f[0],nGramsSplits:f[1]}}var Bg=z({stringNGrams_:zg});function Vg(e,t,n=!0){let r=R(e,`input`,`stringSplit`,`string`),i=R(t,`delimiter`,`stringSplit`,`string`);if(r.rank!==1)throw Error(`Input should be Tensor1D but received shape ${r.shape}`);if(i.rank!==0)throw Error(`Delimiter should be a scalar but received shape ${i.shape}`);let a={skipEmpty:n},o={input:r,delimiter:i},s=L.runKernel(or,o,a);return{indices:s[0],values:s[1],shape:s[2]}}var Hg=z({stringSplit_:Vg});function Ug(e,t){let n=R(e,`input`,`stringToHashBucketFast`,`string`),r={numBuckets:t};if(t<=0)throw Error(`Number of buckets must be at least 1`);let i={input:n};return L.runKernel(sr,i,r)}var Wg=z({stringToHashBucketFast_:Ug});function Gg(e,t,n,r=!0){let i=R(e,`input`,`staticRegexReplace`,`string`),a={pattern:t,rewrite:n,replaceGlobal:r};return L.runKernel(rr,{x:i},a)}var Kg=z({staticRegexReplace_:Gg}),qg={fft:Ap,ifft:Mp,rfft:Rp,irfft:Pp},Jg={hammingWindow:sh,hannWindow:lh,frame:dh,stft:ph},Yg={flipLeftRight:_h,grayscaleToRGB:yh,resizeNearestNeighbor:Zh,resizeBilinear:Yh,rgbToGrayscale:xh,rotateWithOffset:Ch,cropAndResize:hh,nonMaxSuppression:Eh,nonMaxSuppressionAsync:zh,nonMaxSuppressionWithScore:Vh,nonMaxSuppressionWithScoreAsync:Uh,nonMaxSuppressionPadded:Gh,nonMaxSuppressionPaddedAsync:qh,threshold:eg,transform:ng},Xg={bandPart:ig,gramSchmidt:og,qr:lg},Zg={absoluteDifference:mg,computeWeightedLoss:fg,cosineDistance:gg,hingeLoss:vg,huberLoss:bg,logLoss:Sg,meanSquaredError:wg,sigmoidCrossEntropy:Dg,softmaxCrossEntropy:Ag},Qg={sparseFillEmptyRows:Mg,sparseReshape:Pg,sparseSegmentMean:Ig,sparseSegmentSum:Rg},$g={stringNGrams:Bg,stringSplit:Hg,stringToHashBucketFast:Wg,staticRegexReplace:Kg},e_=new Map,t_=new Map,n_=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},r_=class e{constructor(){this.classNameMap={}}static getMap(){return e.instance??=new e,e.instance}static register(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function i_(e,t,n){p(e.className!=null,()=>`Class being registered does not have the static className property defined.`),p(typeof e.className==`string`,()=>`className is required to be a string, but got type `+typeof e.className),p(e.className.length>0,()=>`Class being registered has an empty-string as its className, which is disallowed.`),t===void 0&&(t=`Custom`),n===void 0&&(n=e.className);let r=n,i=t+`>`+r;return r_.register(e),e_.set(i,e),t_.set(e,i),e}var a_=class extends n_{minimize(e,t=!1,n){let{value:r,grads:i}=this.computeGradients(e,n);if(n!=null){let e=n.map(e=>({name:e.name,tensor:i[e.name]}));this.applyGradients(e)}else this.applyGradients(i);return ma(i),t?r:(r.dispose(),null)}get iterations(){return this.iterations_??=0,this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return Lu(e,t)}dispose(){this.iterations_!=null&&ma(this.iterations_)}async saveIterations(){return this.iterations_??=0,{name:`iter`,tensor:Y(this.iterations_,`int32`)}}async getWeights(){throw Error(`getWeights() is not implemented for this optimizer yet.`)}async setWeights(e){throw Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(a_,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var o_=class extends a_{static get className(){return`Adadelta`}constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n??(this.epsilon=L.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{let r=L.registeredVariables[t];this.accumulatedGrads[n]??(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:B(()=>hl(r).variable(!1))}),this.accumulatedUpdates[n]??(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:B(()=>hl(r).variable(!1))});let i=Array.isArray(e)?e[n].tensor:e[t];if(i==null)return;let a=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;B(()=>{let e=H(W(a,this.rho),W(Gl(i),1-this.rho)),t=W(U(Ul(H(o,this.epsilon)),Ul(H(a,this.epsilon))),i),n=H(W(o,this.rho),W(Gl(t),1-this.rho));a.assign(e),o.assign(n);let s=H(W(t,-this.learningRate),r);r.assign(s)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(ma(this.accumulatedGrads.map(e=>e.variable)),ma(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable}

17)))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2;this.accumulatedGrads=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)})),this.accumulatedUpdates=e.slice(t,t*2).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}},s_=class extends a_{static get className(){return`Adagrad`}constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{let r=L.registeredVariables[t];this.accumulatedGrads[n]??(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:B(()=>yc(r.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(e)?e[n].tensor:e[t];if(i==null)return;let a=this.accumulatedGrads[n].variable;B(()=>{let e=H(a,Gl(i));a.assign(e);let t=H(W(U(i,Ul(H(e,L.backend.epsilon()))),-this.learningRate),r);r.assign(t)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&ma(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e),this.accumulatedGrads=e.map(e=>({originalName:e.name,variable:e.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}},c_=class extends a_{static get className(){return`Adam`}constructor(e,t,n,r=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=Y(t).variable(),this.accBeta2=Y(n).variable()}),r??(this.epsilon=L.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(e=>e.name):Object.keys(e);B(()=>{let n=Z(1,this.accBeta1),r=Z(1,this.accBeta2);t.forEach((t,i)=>{let a=L.registeredVariables[t];this.accumulatedFirstMoment[i]??(this.accumulatedFirstMoment[i]={originalName:`${t}/m`,variable:B(()=>hl(a).variable(!1))}),this.accumulatedSecondMoment[i]??(this.accumulatedSecondMoment[i]={originalName:`${t}/v`,variable:B(()=>hl(a).variable(!1))});let o=Array.isArray(e)?e[i].tensor:e[t];if(o==null)return;let s=this.accumulatedFirstMoment[i].variable,c=this.accumulatedSecondMoment[i].variable,l=H(W(s,this.beta1),W(o,1-this.beta1)),u=H(W(c,this.beta2),W(Gl(o),1-this.beta2)),d=U(l,n),f=U(u,r);s.assign(l),c.assign(u);let p=H(W(U(d,H(Ul(f),this.epsilon)),-this.learningRate),a);a.assign(p)}),this.accBeta1.assign(W(this.accBeta1,this.beta1)),this.accBeta2.assign(W(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&ma(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&ma(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e),B(()=>{this.accBeta1.assign(Vl(this.beta1,this.iterations_+1)),this.accBeta2.assign(Vl(this.beta2,this.iterations_+1))});let t=e.length/2;this.accumulatedFirstMoment=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}},l_=class extends a_{static get className(){return`Adamax`}constructor(e,t,n,r=null,i=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.decay=i,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=Y(0).variable(),this.accBeta1=Y(t).variable()}),r??(this.epsilon=L.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(e=>e.name):Object.keys(e);B(()=>{let n=Z(1,this.accBeta1),r=U(-this.learningRate,H(W(this.iteration,this.decay),1));t.forEach((t,i)=>{let a=L.registeredVariables[t];this.accumulatedFirstMoment[i]??(this.accumulatedFirstMoment[i]={originalName:`${t}/m`,variable:hl(a).variable(!1)}),this.accumulatedWeightedInfNorm[i]??(this.accumulatedWeightedInfNorm[i]={originalName:`${t}/v`,variable:hl(a).variable(!1)});let o=Array.isArray(e)?e[i].tensor:e[t];if(o==null)return;let s=this.accumulatedFirstMoment[i].variable,c=this.accumulatedWeightedInfNorm[i].variable,l=H(W(s,this.beta1),W(o,1-this.beta1)),u=hd(W(c,this.beta2),qo(o));s.assign(l),c.assign(u);let d=H(W(U(r,n),U(l,H(u,this.epsilon))),a);a.assign(d)}),this.iteration.assign(H(this.iteration,1)),this.accBeta1.assign(W(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&ma(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&ma(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw Error(`getWeights() is not implemented for Adamax yet.`)}async setWeights(e){throw Error(`setWeights() is not implemented for Adamax yet.`)}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}},u_=class extends a_{static get className(){return`SGD`}constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}

17applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let i=L.registeredVariables[t];B(()=>{let e=H(W(this.c,r),i);i.assign(e)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=ha(Y(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw Error(`SGD optimizer does not have settable weights.`)}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}},d_=class extends u_{static get className(){return`Momentum`}constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=Y(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{let r=L.registeredVariables[t];this.accumulations[n]??(this.accumulations[n]={originalName:`${t}/momentum`,variable:B(()=>hl(r).variable(!1))});let i=this.accumulations[n].variable,a=Array.isArray(e)?e[n].tensor:e[t];a!=null&&B(()=>{let e,t=H(W(this.m,i),a);e=this.useNesterov?H(W(this.c,H(a,W(t,this.m))),r):H(W(this.c,t),r),i.assign(t),r.assign(e)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&ma(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e),this.accumulations=e.map(e=>({originalName:e.name,variable:e.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}},f_=class extends a_{static get className(){return`RMSProp`}constructor(e,t=.9,n=0,r=null,i=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=i,r??(this.epsilon=L.backend.epsilon()),e==null)throw Error(`learningRate for RMSPropOptimizer must be defined.`)}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{let r=L.registeredVariables[t];this.accumulatedMeanSquares[n]??(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:B(()=>hl(r).variable(!1))}),this.accumulatedMoments[n]??(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:B(()=>hl(r).variable(!1))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:B(()=>hl(r).variable(!1))});let i=Array.isArray(e)?e[n].tensor:e[t];if(i==null)return;let a=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;B(()=>{let e=H(W(a,this.decay),W(Gl(i),1-this.decay));if(this.centered){let t=this.accumulatedMeanGrads[n].variable,s=H(W(t,this.decay),W(i,1-this.decay)),c=U(W(i,this.learningRate),Ul(Z(e,H(Gl(s),this.epsilon)))),l=H(W(o,this.momentum),c);a.assign(e),t.assign(s),o.assign(l);let u=Z(r,l);r.assign(u)}else{let e=H(W(a,this.decay),W(Gl(i),1-this.decay)),t=H(W(o,this.momentum),U(W(i,this.learningRate),Ul(H(e,this.epsilon))));a.assign(e),o.assign(t);let n=Z(r,t);r.assign(n)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&ma(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&ma(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&ma(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2;this.accumulatedMeanSquares=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)})),this.accumulatedMoments=e.slice(t,t*2).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(e=>({originalName:e.name,variable:e.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}},p_=[o_,s_,c_,l_,d_,f_,u_];function m_(){for(let e of p_)i_(e)}function h_(e,t){let n=e.shape.length,r=t.shape.length;if(n<1)throw Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(r<1)throw Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${r}.`);if(t.dtype!==`int32`)throw Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[r-1]>n)throw Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[r-1]} vs. ${n}`);if(g(e.shape)===0)throw Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let i=t.shape,a=i[i.length-1],o=1;for(let e=0;e<i.length-1;++e)o*=i[e];let s=e.shape,c=i.slice();c.pop();let l=1;for(let e=a;

17e<n;++e)l*=s[e],c.push(s[e]);let u=[...M(e.shape).map(e=>e/l),1].slice(0,a);return[c,o,l,u]}var g_=e({assertParamsValid:()=>y_,computeFlatOffset:()=>M_,computeOutShape:()=>x_,getNormalizedAxes:()=>T_,isSliceContinous:()=>j_,maskToAxes:()=>b_,parseSliceParams:()=>N_,sliceInfo:()=>P_,startForAxis:()=>k_,startIndicesWithElidedDims:()=>E_,stopForAxis:()=>A_,stopIndicesWithElidedDims:()=>D_,stridesForAxis:()=>O_,stridesWithElidedDims:()=>S_}),__=-2,v_=-1;function y_(e,t,n){let r=e.shape.length;p(r===t.length,()=>`Error in slice${r}D: Length of begin ${t} must match the rank of the array (${r}).`),p(r===n.length,()=>`Error in slice${r}D: Length of size ${n} must match the rank of the array (${r}).`);for(let i=0;i<r;++i)p(t[i]+n[i]<=e.shape[i],()=>`Error in slice${r}D: begin[${i}] + size[${i}] (${t[i]+n[i]}) would overflow input.shape[${i}] (${e.shape[i]})`)}function b_(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function x_(e,t,n){let r=[];for(let i=0;i<e.length;i++)r[i]=Math.ceil((t[i]-e[i])/n[i]);return r}function S_(e,t,n,r){let i=[...e];for(let e=i.length;e<r.length;e++)i.push(1);for(let e=0;e<n;e++)e===0?i[t]=1:(i.splice(t,0,1),i.pop());return i}function C_(e,t,n){return n<=e?n:n-(t-1)}function w_(e,t){let n=[];for(let r=0;r<e;r++)n.push(t+r);return n}function T_(e,t,n,r,i,a,o,s,c){let l=e.length,u=Array(l),d=Array(l),f=Array(l);if(t.length&&n>0){let c=t[0],l=n+1;u=E_(o,c,l,r,e),d=D_(s,c,l,i,e),f=S_(a,c,l,e)}else for(let t=0;t<l;t++)u[t]=k_(o,r,a,e,t,c),d[t]=A_(s,i,a,e,t,c),f[t]=O_(a,t,c);return{begin:u,end:d,strides:f}}function E_(e,t,n,r,i){let a=[...i],o=w_(n,t);for(let i=0;i<a.length;i++)if(o.indexOf(i)>-1)a[i]=0;else{let o=C_(t,n,i),s=r[o];e&1<<o&&(s=0),a[i]=s}return a}function D_(e,t,n,r,i){let a=[...i],o=w_(n,t);for(let i=0;i<a.length;i++)if(o.indexOf(i)>-1)a[i]=2**53-1;else{let o=C_(t,n,i),s=r[o];e&1<<o&&(s=2**53-1),a[i]=s}for(let e=0;e<a.length;e++){let t=i[e];a[e]<0&&(a[e]+=t),a[e]=l(0,a[e],i[e])}return a}function O_(e,t,n){let r=e[t];return(n&1<<t||r==null)&&(r=1),r}function k_(e,t,n,r,i,a){let o=t[i],s=n[i]||1;(e&1<<i||a&1<<i||o==null)&&(o=s>0?-(2**53-1):2**53-1);let c=r[i];return o<0&&(o+=c),o=l(0,o,c-1),o}function A_(e,t,n,r,i,a){let o=t[i],s=n[i]||1;(e&1<<i||a&1<<i||o==null)&&(o=s>0?2**53-1:-(2**53-1));let c=r[i];return o<0&&(o+=c),o=s>0?l(0,o,c):l(-1,o,c-1),o}function j_(e,t,n){let r=n.length;for(let e=0;e<n.length;e++)if(n[e]>1){r=e;break}for(let i=r+1;i<n.length;i++)if(t[i]>0||n[i]!==e[i])return!1;return!0}function M_(e,t){let n=e.length>0?e[e.length-1]:1;for(let r=0;r<e.length-1;r++)n+=e[r]*t[r];return n}function N_(e,t,n){let r,i=e.shape.length;r=typeof t==`number`?[t,...Array(i-1).fill(0)]:t.length<i?t.concat(Array(i-t.length).fill(0)):t.slice(),r.forEach(e=>{p(e!==-1,()=>`slice() does not support negative begin indexing.`)});let a;return a=n==null?Array(i).fill(-1):typeof n==`number`?[n,...Array(i-1).fill(-1)]:n.length<i?n.concat(Array(i-n.length).fill(-1)):n,a=a.map((t,n)=>t>=0?t:(p(t===-1,()=>`Negative size values should be exactly -1 but got ${t} for the slice() size at index ${n}.`),e.shape[n]-r[n])),[r,a]}function P_(e,t,n,r,i,a,o,s,c){let l;if(r==null?(l=Array(t.length),l.fill(1)):l=r,o!=null&&o&o-1)throw Error(`Multiple ellipses in slice is not allowed.`);let u=!1,d={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:l.slice(),beginMask:i,endMask:a,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:c};for(let e=0;e<d.dims;e++)u&&1<<e&s&&d.numAddAxisAfterEllipsis++,1<<e&o&&(u=!0);u||(d.ellipsisMask|=1<<d.dims,d.dims++);let f={dims:e.length,beginMask:0,endMask:0,beginValid:!1,endValid:!1};F_(d,f);let p=!0,m=!0,h=!0,g=[],_=[];for(let t=0;t<e.length;++t){if(f.strides[t]===0)throw Error(`strides[${t}] must be non-zero`);let n=!!(f.shrinkAxisMask&1<<t),r=e[t];if(r===-1){g.push(n?1:-1);continue}let i=[f.beginMask&1<<t,f.endMask&1<<t],a=[f.strides[t]>0?0:-1,f.strides[t]>0?r:r-1];if(n&&f.strides[t]<=0)throw Error(`only stride 1 allowed on non-range indexing.`);h&&=f.strides[t]===1;let o=!!(f.beginMask&1<<t&&f.endMask&1<<t);if(f.beginValid&&f.endValid){if(n){let e=f.begin[t]<0?r+f.begin[t]:f.begin[t];if(f.begin[t]=e,f.end[t]=f.begin[t]+1,e<0||e>=r)throw Error(`slice index ${f.begin[t]} of dimension ${t} out of bounds.`)}else f.begin[t]=I_(f.begin[t],0,f.strides[t],r,i,a),f.end[t]=I_(f.end[t],1,f.strides[t],r,i,a);let e=f.strides[t]===1&&f.begin[t]===0&&f.end[t]===r;p&&=e,m&&=t===0&&f.strides[t]===1||e}else p=p&&f.strides[t]===1&&o,m&&=t===0&&f.strides[t]===1||o;let s,c=!1;if(f.beginValid&&f.endValid?(s=f.end[t]-f.begin[t],c=!0):n?(s=1,c=!0):o&&r>

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n(n){t=n.wasm.cwrap(e,null,[`number`,`number`,`number`,`number`,`number`])}function r(e){let{backend:n,inputs:r,attrs:i}=e,{axis:a}=i,{x:o}=r,s=n.dataIdMap.get(o.dataId).id,c=s,l=o,{transposed:u,axes:d,inputWasTransposed:f}=Cy(o,a,n);if(f){let e=n.dataIdMap.get(u.dataId).id;e!==s&&(l=u,c=e)}let p=l.shape.slice(0,-1),m=n.makeOutput(p,`int32`),h=n.dataIdMap.get(m.dataId).id,_=g(m.shape),v=l.shape[d[0]];return t(c,Q[l.dtype],_,v,h),f&&n.disposeData(u.dataId),m}return{kernelName:e,backendName:`wasm`,setupFunc:n,kernelFunc:r}}var Ny=My(Me),Py=My(Ne),Fy=$(Pe),Iy=$(Fe),Ly=$(Ie),Ry=ly(Re,!1),zy=$(Le),By;function Vy(e){By=e.wasm.cwrap(ze,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Hy(e){let{inputs:t,attrs:n,backend:r}=e,i=t.x,a=r.dataIdMap.get(i.dataId).id,{filterSize:o,strides:s,pad:c,dimRoundingMode:l}=n,u=ys(i.shape,o,s,1,c,l),d=u.filterHeight,f=u.filterWidth,p=u.padInfo.top,m=u.padInfo.right,h=u.padInfo.bottom,g=u.padInfo.left,_=u.strideHeight,v=u.strideWidth,y=u.inChannels;if(u.dataFormat!==`channelsLast`)throw Error(`wasm backend does not support dataFormat:'${u.dataFormat}'. Please use 'channelsLast'.`);if(u.dilationWidth!==1||u.dilationHeight!==1)throw Error(`was backend only supports average pooling with dilation = [1, 1], got [${u.dilationHeight}, ${u.dilationWidth}].`);let b=r.makeOutput(u.outShape,`float32`),x=r.dataIdMap.get(b.dataId).id;return By(a,i.shape[0],i.shape[1],i.shape[2],d,f,p,m,h,g,_,v,y,x),b}var Uy={kernelName:ze,backendName:`wasm`,setupFunc:Vy,kernelFunc:Hy},Wy;function Gy(e){Wy=e.wasm.cwrap(`AvgPool3D`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Ky(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{filterSize:a,strides:o,pad:s,dimRoundingMode:c,dataFormat:l}=r,u=bs(i.shape,a,o,1,s,c,l),d=n.makeOutput(u.outShape,i.dtype);return Wy(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,u.batchSize,u.inChannels,u.inDepth,u.inHeight,u.inWidth,u.outDepth,u.outHeight,u.outWidth,u.strideDepth,u.strideHeight,u.strideWidth,u.dilationDepth,u.dilationHeight,u.dilationWidth,u.effectiveFilterDepth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.front,u.padInfo.top,u.padInfo.left),d}var qy={kernelName:Ve,backendName:`wasm`,setupFunc:Gy,kernelFunc:Ky},Jy;function Yy(e){Jy=e.wasm.cwrap(`AvgPool3DGrad`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Xy(e){let{inputs:t,backend:n,attrs:r}=e,{dy:i,input:a}=t,{filterSize:o,strides:s,pad:c,dimRoundingMode:l}=r,u=bs(a.shape,o,s,1,c,l),d=n.makeOutput(a.shape,a.dtype);return Jy(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,u.batchSize,u.inChannels,u.inDepth,u.inHeight,u.inWidth,u.outDepth,u.outHeight,u.outWidth,u.strideDepth,u.strideHeight,u.strideWidth,u.dilationDepth,u.dilationHeight,u.dilationWidth,u.effectiveFilterDepth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.front,u.padInfo.top,u.padInfo.left,u.filterDepth,u.filterHeight,u.filterWidth),d}var Zy={kernelName:He,backendName:`wasm`,setupFunc:Yy,kernelFunc:Xy},Qy;function $y(e){Qy=e.wasm.cwrap(`AvgPoolGrad`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function eb(e){let{inputs:t,backend:n,attrs:r}=e,{dy:i,input:a}=t,{filterSize:o,strides:s,pad:c}=r,l=ys(a.shape,o,s,1,c),u=n.makeOutput(a.shape,a.dtype);return Qy(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(u.dataId).id,l.batchSize,l.inChannels,l.inHeight,l.inWidth,l.outHeight,l.outWidth,l.strideHeight,l.strideWidth,l.dilationHeight,l.dilationWidth,l.effectiveFilterHeight,l.effectiveFilterWidth,l.padInfo.top,l.padInfo.left,l.filterHeight,l.filterWidth),u}var tb={kernelName:Be,backendName:`wasm`,setupFunc:$y,kernelFunc:eb};function nb(e){let{inputs:t,attrs:n}=e,{x:r}=t,{shape:i}=n,a=g(r.shape),o=w(i,a);return p(a===g(o),()=>`new shape: ${o}, old shape: ${r.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(r.dataId),{dataId:r.dataId,shape:o,dtype:r.dtype}}var rb={kernelName:Dn,backendName:`wasm`,kernelFunc:nb},ib;function ab(e){ib=e.wasm.cwrap(Ue,null,[`number`,`array`,`number`,`number`,`array`,`number`,`number`,`number`,`number`])}function ob(e){let{inputs:t,backend:n,attrs:r}=e,{a:i,b:a}=t,{transposeA:o,transposeB:s}=r;if(i.dtype!==`float32`||a.dtype!==`float32`)throw Error(`BatchMatMul for non non-float32 tensors not yet supported.`);let c=i.shape.length,l=a.shape.length,u=o?i.shape[c-2]:i.shape[c-1],d=s?a.shape[l-1]:a.shape[l-2],f=o?i.shape[c-1]:i.shape[c-2],m=s?a.shape[l-2]:a.shape[l-1],h=i.shape.slice(0,-2),_=a.shape.slice(0,-2),v=g(h),y=g(_),b=J(i.shape.slice(0,-2),a.shape.slice(0,-2)).c

20oncat([f,m]);p(u===d,()=>`Error in matMul: inner shapes (${u}) and (${d}) of Tensors with shapes ${i.shape} and ${a.shape} and transposeA=${o} and transposeB=${s} must match.`);let x=o?[v,u,f]:[v,f,u],S=s?[y,m,d]:[y,d,m],C=nb({inputs:{x:i},backend:n,attrs:{shape:x}}),w=nb({inputs:{x:a},backend:n,attrs:{shape:S}}),T=n.dataIdMap.get(C.dataId).id,E=n.dataIdMap.get(w.dataId).id,D=o?C.shape[2]:C.shape[1],O=s?w.shape[1]:w.shape[2],k=Math.max(v,y),A=n.makeOutput([k,D,O],C.dtype),ee=n.dataIdMap.get(A.dataId).id,j=new Uint8Array(new Int32Array(C.shape).buffer),te=new Uint8Array(new Int32Array(w.shape).buffer);return ib(T,j,C.shape.length,E,te,w.shape.length,o,s,ee),n.disposeData(C.dataId),n.disposeData(w.dataId),A.shape=b,A}var sb={kernelName:Ue,backendName:`wasm`,setupFunc:ab,kernelFunc:ob};function cb(e){let{inputs:{x:t},attrs:{begin:n,size:r},backend:i}=e,[a,o]=N_(t,n,r),s=j_(t.shape,a,o),c=i.readSync(t.dataId),l=i.makeOutput(o,t.dtype),u=M(t.shape),d=i.dataIdMap.get(l.dataId);if(s){let e=M_(a,u);return t.dtype===`string`?d.stringBytes=c.slice(e,e+g(o)):i.typedArrayFromHeap(l).set(c.subarray(e,e+g(o))),l}if(t.dtype===`string`)return d.stringBytes=Kv(c,a,o,t.shape,t.dtype),l;let f=i.typedArrayFromHeap(l),p=t.shape.length;if(p===2)lb(c,u[0],f,a,o);else if(p===3)ub(c,u[0],u[1],f,a,o);else if(p===4)db(c,u[0],u[1],u[2],f,a,o);else{let e=Kv(c,a,o,t.shape,t.dtype);f.set(e)}return l}function lb(e,t,n,r,i){let a=0,o=r[0],s=r[1],c=o+i[0];for(let r=o;r<c;r++){let o=r*t+s;n.set(e.subarray(o,o+i[1]),a),a+=i[1]}}function ub(e,t,n,r,i,a){let o=0,s=i[0],c=i[1],l=i[2],u=s+a[0],d=c+a[1];for(let i=s;i<u;i++)for(let s=c;s<d;s++){let c=i*t+s*n+l;r.set(e.subarray(c,c+a[2]),o),o+=a[2]}}function db(e,t,n,r,i,a,o){let s=0,c=a[0],l=a[1],u=a[2],d=c+o[0],f=l+o[1],p=u+o[2],m=a[3];for(let a=c;a<d;a++)for(let c=l;c<f;c++)for(let l=u;l<p;l++){let u=a*t+c*n+l*r+m;i.set(e.subarray(u,u+o[3]),s),s+=o[3]}}var fb={kernelName:Vn,backendName:`wasm`,kernelFunc:cb};function pb(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{blockShape:a,crops:o}=r,s=a.reduce((e,t)=>e*t),c=K_(i.shape,a,s),l=q_(c.length,a.length),u=J_(i.shape,a,s),d=Y_(o,a.length),f=X_(u,o,a.length),p=nb({inputs:{x:i},backend:n,attrs:{shape:c}}),m=yy({inputs:{x:p},backend:n,attrs:{perm:l}}),h=nb({inputs:{x:m},backend:n,attrs:{shape:u}}),g=cb({inputs:{x:h},backend:n,attrs:{begin:d,size:f}});return n.disposeData(p.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var mb={kernelName:We,backendName:`wasm`,kernelFunc:pb},hb;function gb(e){hb=e.wasm.cwrap(Ge,null,[`number`,`number`,`boolean`,`number`,`number`,`number`])}function _b(e){let{backend:t,inputs:n,attrs:r}=e,{x:i,weights:a}=n,{size:o}=r,s=a.shape.reduce((e,t)=>e*t,1)!==0,c=i.shape.length===1?[o]:[i.shape[0],o],l=t.makeOutput(c,a.dtype);function u(e){return t.dataIdMap.get(e.dataId).id}return hb(u(i),o,s,u(a),Q[a.dtype],u(l)),l}var vb={kernelName:Ge,backendName:`wasm`,setupFunc:gb,kernelFunc:_b},yb=ly(Ke,!0);function bb(e){let{inputs:t,backend:n}=e,{s0:r,s1:i}=t,a=n.typedArrayFromHeap(r),o=n.typedArrayFromHeap(i),s=J(Array.from(a),Array.from(o));return n.makeOutput([s.length],`int32`,void 0,new Int32Array(s))}var xb={kernelName:Je,backendName:`wasm`,kernelFunc:bb};function Sb(e){let{inputs:{x:t},attrs:{dtype:n},backend:r}=e,i=r.makeOutput(t.shape,n),a=r.typedArrayFromHeap(t);return r.typedArrayFromHeap(i).set(a),i}var Cb={kernelName:Ye,backendName:`wasm`,kernelFunc:Sb},wb=$(Xe),Tb;function Eb(e){Tb=e.wasm.cwrap(P,null,[`number`,`number`,`number`,`number`])}function Db(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{clipValueMin:a,clipValueMax:o}=r,s=n.dataIdMap.get(i.dataId).id,c=n.makeOutput(i.shape,i.dtype),l=n.dataIdMap.get(c.dataId).id;return Tb(s,a,o,l),c}var Ob={kernelName:P,backendName:`wasm`,setupFunc:Eb,kernelFunc:Db};function kb(e){let{inputs:t,backend:n}=e,r=T(e.attrs.axis,t[0].shape)[0];L_(t.map(e=>e.shape),r);let i=R_(t.map(e=>e.shape),r),a=t.filter(e=>g(e.shape)>0);if(a.length===1)return hy({inputs:{x:a[0]},backend:n});let o=n.makeOutput(i,t[0].dtype);if(g(i)===0)return o;if(a[0].dtype===`string`){let e=a.map(e=>{let t=[-1,g(e.shape.slice(r))];return nb({inputs:{x:e},backend:n,attrs:{shape:t}})}),s=e.map(e=>({vals:n.readSync(e.dataId),shape:e.shape}));i=R_(e.map(e=>e.shape),1);let c=e[0].shape[0]===1,l=Wv(s,i,t[0].dtype,c);o.shape=R_(a.map(e=>e.shape),r);let u=n.dataIdMap.get(o.dataId);

20return u.stringBytes=Hv(l),e.forEach(e=>n.disposeData(e.dataId)),o}let s=g(a[0].shape.slice(0,r)),c=0,l=a.map(e=>{let t=g(e.shape.slice(r));return c+=t,t}),u=a.map(e=>n.typedArrayFromHeap(e)),d=n.typedArrayFromHeap(o);for(let e=0;e<s;e++){let t=e*c;for(let n=0;n<u.length;n++){let r=l[n],i=e*r,a=u[n].subarray(i,i+r);d.set(a,t),t+=r}}return o}var Ab={kernelName:$e,backendName:`wasm`,kernelFunc:kb},jb;function Mb(e){jb=e.wasm.cwrap(et,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Nb(e){let{inputs:t,attrs:n,backend:r}=e,{x:i,filter:a}=t,o=r.dataIdMap.get(i.dataId).id,s=r.dataIdMap.get(a.dataId).id,{strides:c,dilations:l,pad:u,dimRoundingMode:d,dataFormat:f}=n,p=Fs(f),m=xs(i.shape,a.shape,c,l,u,d,!1,p),h=m.filterHeight,g=m.filterWidth,_=m.padInfo.top,v=m.padInfo.right,y=m.padInfo.bottom,b=m.padInfo.left,x=m.dilationHeight,S=m.dilationWidth,C=m.strideHeight,w=m.strideWidth,T=m.inChannels,E=m.outChannels,D=+(m.padInfo.type===`SAME`);if(m.dataFormat!==`channelsLast`)throw Error(`wasm backend Conv2D does not support dataFormat:'${m.dataFormat}'. Please use 'channelsLast'.`);let O=r.makeOutput(m.outShape,`float32`),k=r.dataIdMap.get(O.dataId).id;return jb(o,i.shape[0],i.shape[1],i.shape[2],s,h,g,_,v,y,b,D,x,S,C,w,T,E,k),O}var Pb={kernelName:et,backendName:`wasm`,setupFunc:Mb,kernelFunc:Nb},Fb;function Ib(e){Fb=e.wasm.cwrap(nt,null,`number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number.number`.split(`.`))}function Lb(e){let{backend:t,inputs:n,attrs:r}=e,{dy:i,filter:a}=n,{strides:o,pad:s,dataFormat:c,dimRoundingMode:l,inputShape:u}=r,d=Fs(c),f=xs(u,a.shape,o,1,s,l,!1,d),{batchSize:p,filterHeight:m,filterWidth:h,inChannels:g,inHeight:_,inWidth:v,outChannels:y,outHeight:b,outWidth:x,strideHeight:S,strideWidth:C}=f,w=m-1-f.padInfo.top,T=h-1-f.padInfo.left,E=f.dataFormat===`channelsLast`,D=M(f.inShape),O=M(i.shape),[k,A,ee]=M(a.shape),j=D[0],te=E?D[1]:D[2],ne=E?D[2]:1,re=E?1:D[1],ie=O[0],ae=E?O[1]:O[2],oe=E?O[2]:1,se=E?1:O[1],ce=t.makeOutput(f.inShape,`float32`),le=t.dataIdMap.get(ce.dataId).id,ue=t.dataIdMap.get(i.dataId).id,de=t.dataIdMap.get(a.dataId).id;return Fb(ue,de,p,m,h,_,v,g,b,x,y,S,C,w,T,k,A,ee,j,te,ne,re,ie,ae,oe,se,le),ce}var Rb={kernelName:nt,backendName:`wasm`,setupFunc:Ib,kernelFunc:Lb},zb;function Bb(e){zb=e.wasm.cwrap(rt,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Vb(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,filter:a}=t,{strides:o,pad:s,dilations:c}=r;if(i.dtype!==`float32`)throw Error(`Tensor x must have dtype float32, got ${i.dtype}`);if(a.dtype!==`float32`)throw Error(`Tensor filter must have dtype float32, got ${a.dtype}`);let l=Ss(i.shape,a.shape,o,c,s),u=n.makeOutput(l.outShape,i.dtype);return zb(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(u.dataId).id,l.batchSize,l.inDepth,l.inHeight,l.inWidth,l.inChannels,l.outDepth,l.outHeight,l.outWidth,l.outChannels,l.strideDepth,l.strideHeight,l.strideWidth,l.dilationDepth,l.dilationHeight,l.dilationWidth,l.filterDepth,l.filterHeight,l.filterWidth,l.padInfo.front,l.padInfo.top,l.padInfo.left),u}var Hb={kernelName:rt,backendName:`wasm`,setupFunc:Bb,kernelFunc:Vb},Ub;function Wb(e){Ub=e.wasm.cwrap(it,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Gb(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,dy:a}=t,{strides:o,pad:s,filterShape:c}=r;if(i.dtype!==`float32`)throw Error(`Tensor dy must have dtype float32, got ${i.dtype}`);if(a.dtype!==`float32`)throw Error(`Tensor filter must have dtype float32, got ${a.dtype}`);let l=Ss(i.shape,c,o,1,s),u=n.makeOutput(l.filterShape,a.dtype);return Ub(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(u.dataId).id,l.batchSize,l.inDepth,l.inHeight,l.inWidth,l.inChannels,l.outDepth,l.outHeight,l.outWidth,l.outChannels,l.strideDepth,l.strideHeight,l.strideWidth,l.dilationDepth,l.dilationHeight,l.dilationWidth,l.filterDepth,l.filterHeight,l.filterWidth,l.padInfo.front,l.padInfo.top,l.padInfo.left),u}var Kb={kernelName:it,backendName:`wasm`,setupFunc:Wb,kernelFunc:Gb},qb;function Jb(e){qb=e.wasm.cwrap(at,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Yb(e){let{inputs:t,backend:n,attrs:r}=e,{dy:i,filter:a}

20=t,{pad:o,strides:s,inputShape:c}=r;if(i.dtype!==`float32`)throw Error(`Tensor dy must have dtype float32, got ${i.dtype}`);if(a.dtype!==`float32`)throw Error(`Tensor filter must have dtype float32, got ${a.dtype}`);let l=Ss(c,a.shape,s,1,o),u=n.makeOutput(l.inShape,i.dtype);return qb(n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(u.dataId).id,l.batchSize,l.inDepth,l.inHeight,l.inWidth,l.inChannels,l.outDepth,l.outHeight,l.outWidth,l.outChannels,l.strideDepth,l.strideHeight,l.strideWidth,l.dilationDepth,l.dilationHeight,l.dilationWidth,l.filterDepth,l.filterHeight,l.filterWidth,l.padInfo.front,l.padInfo.top,l.padInfo.left),u}var Xb={kernelName:at,backendName:`wasm`,setupFunc:Jb,kernelFunc:Yb},Zb=$(`Cos`),Qb=$(ot),$b;(function(e){e[e.bilinear=0]=`bilinear`,e[e.nearest=1]=`nearest`})($b||={});var ex;function tx(e){ex=e.wasm.cwrap(lt,null,[`number`,`number`,`number`,`number`,`array`,`number`,`number`,`number`,`number`,`number`])}function nx(e){let{backend:t,inputs:n,attrs:r}=e,{method:i,extrapolationValue:a,cropSize:o}=r,{image:s,boxes:c,boxInd:l}=n,u=c.shape[0],[d,f]=o,p=[u,d,f,s.shape[3]],m=t.dataIdMap.get(s.dataId),h;s.dtype!==`float32`&&(h=Sb({backend:t,inputs:{x:s},attrs:{dtype:`float32`}}),m=t.dataIdMap.get(h.dataId));let g=m.id,_=t.dataIdMap.get(c.dataId).id,v=t.dataIdMap.get(l.dataId).id,y=t.makeOutput(p,`float32`),b=t.dataIdMap.get(y.dataId).id,x=new Uint8Array(new Int32Array(s.shape).buffer);return ex(g,_,v,u,x,d,f,$b[i],a,b),h!=null&&t.disposeData(h.dataId),y}var rx={kernelName:lt,backendName:`wasm`,setupFunc:tx,kernelFunc:nx},ix;function ax(e){ix=e.wasm.cwrap(st,null,[`number`,`number`,`number`,`number`,`number`,`number`])}function ox(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{axis:a,exclusive:o,reverse:s}=r,c=i.shape.length;p(i.dtype===`float32`||i.dtype===`int32`,()=>`cumprod does not support ${i.dtype} tensors in the WASM backend`);let l=Nl([a],c),u=i;

20l!==null&&(u=yy({inputs:{x:i},attrs:{perm:l},backend:n}));let d=Fl(1,c)[0];Ml(`cumprod`,[d],c);let f=n.makeOutput(u.shape,u.dtype),m=u.shape[d],h=n.dataIdMap.get(u.dataId).id,g=n.dataIdMap.get(f.dataId).id;ix(h,+!!o,+!!s,m,g,Q[i.dtype]);let _=f;if(l!==null){let e=Pl(l);_=yy({inputs:{x:f},attrs:{perm:e},backend:n}),n.disposeData(u.dataId),n.disposeData(f.dataId)}return _}var sx={kernelName:st,backendName:`wasm`,setupFunc:ax,kernelFunc:ox},cx;function lx(e){cx=e.wasm.cwrap(ct,null,[`number`,`number`,`number`,`number`,`number`,`number`])}function ux(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{axis:a,exclusive:o,reverse:s}=r,c=i.shape.length;p(i.dtype===`float32`||i.dtype===`int32`,()=>`cumsum does not support ${i.dtype} tensors in the WASM backend`);let l=Nl([a],c),u=i;l!==null&&(u=yy({inputs:{x:i},attrs:{perm:l},backend:n}));let d=Fl(1,c)[0];Ml(`cumsum`,[d],c);let f=n.makeOutput(u.shape,u.dtype),m=u.shape[d],h=n.dataIdMap.get(u.dataId).id,g=n.dataIdMap.get(f.dataId).id;cx(h,+!!o,+!!s,m,g,Q[i.dtype]);let _=f;if(l!==null){let e=Pl(l);_=yy({inputs:{x:f},attrs:{perm:e},backend:n}),n.disposeData(u.dataId),n.disposeData(f.dataId)}return _}var dx={kernelName:ct,backendName:`wasm`,setupFunc:lx,kernelFunc:ux},fx;function px(e){fx=e.wasm.cwrap(`DenseBincount`,null,[`number`,`array`,`number`,`number`,`boolean`,`number`,`number`,`boolean`,`number`])}function mx(e){let{backend:t,inputs:n,attrs:r}=e,{x:i,weights:a}=n,{size:o,binaryOutput:s}=r,c=a.shape.reduce((e,t)=>e*t,1)!==0,l=i.shape.length===1?[o]:[i.shape[0],o],u=t.makeOutput(l,a.dtype);function d(e){return t.dataIdMap.get(e.dataId).id}return fx(d(i),new Uint8Array(new Int32Array(i.shape).buffer),i.shape.length,o,c,d(a),Q[a.dtype],s,d(u)),u}var hx={kernelName:ut,backendName:`wasm`,setupFunc:px,kernelFunc:mx},gx;function _x(e){gx=e.wasm.cwrap(dt,null,[`number`,`number`,`number`,`array`,`number`,`array`,`array`,`number`,`number`])}function vx(e){let{backend:t,inputs:n,attrs:r}=e,{x:i}=n,{blockSize:a,dataFormat:o}=r,s=i.shape[0],c=o===`NHWC`?i.shape[1]:i.shape[2],l=o===`NHWC`?i.shape[2]:i.shape[3],u=o===`NHWC`?i.shape[3]:i.shape[1],d=c*a,f=l*a,p=u/(a*a),m=o===`NHWC`?[s,d,f,p]:[s,p,d,f],h=t.makeOutput(m,`float32`),g=t.dataIdMap.get(i.dataId).id,_=new Uint8Array(new Int32Array(M(i.shape)).buffer),v=new Uint8Array(new Int32Array(m).buffer),y=new Uint8Array(new Int32Array(M(m)).buffer),b=t.dataIdMap.get(h.dataId).id;return gx(g,a,+(o===`NHWC`),_,i.shape.length-1,v,y,m.length,b),h}var yx={kernelName:dt,backendName:`wasm`,setupFunc:_x,kernelFunc:vx},bx;function xx(e){bx=e.wasm.cwrap(ft,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Sx(e){let{inputs:t,attrs:n,backend:r}=e,{x:i,filter:a}=t,o=r.dataIdMap.get(i.dataId).id,s=r.dataIdMap.get(a.dataId).id,{strides:c,dilations:l,pad:u,dimRoundingMode:d}=n,f=l??[1,1],p=xs(i.shape,a.shape,c,f,u,d,!0),m=p.filterHeight,h=p.filterWidth,g=p.padInfo.top,_=p.padInfo.right,v=p.padInfo.bottom,y=p.padInfo.left,b=p.dilationHeight,x=p.dilationWidth,S=p.strideHeight,C=p.strideWidth,w=p.inChannels,T=p.outChannels,E=+(p.padInfo.type===`SAME`);if(p.dataFormat!==`channelsLast`)throw Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let D=r.makeOutput(p.outShape,`float32`),O=r.dataIdMap.get(D.dataId).id;return bx(o,i.shape[0],i.shape[1],i.shape[2],s,m,h,g,_,v,y,E,b,x,S,C,w,T,O),D}var Cx={kernelName:ft,backendName:`wasm`,setupFunc:xx,kernelFunc:Sx},wx;function Tx(e){wx=e.wasm.cwrap(`Diag`,null,[`number`,`number`,`number`,`number`])}function Ex(e){let{inputs:t,backend:n}=e,{x:r}=t,i=g(r.shape),a=n.makeOutput([...r.shape,...r.shape],r.dtype);return wx(n.dataIdMap.get(r.dataId).id,Q[r.dtype],i,n.dataIdMap.get(a.dataId).id),a}var Dx={kernelName:ht,backendName:`wasm`,setupFunc:Tx,kernelFunc:Ex},Ox;function kx(e){Ox=e.wasm.cwrap(gt,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Ax(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,filter:a}=t,{strides:o,pad:s,dilations:c}=r;if(i.dtype!==a.dtype)throw Error(`Dilation2D error: x must have the same dtype as filter. Got ${i.dtype} and ${a.dtype}`);let l=vs(i.shape,a.shape,o,s,`NHWC`,c),u=n.makeOutput(l.outShape,i.dtype);return Ox(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(u.dataId).id,Q[i.dtype],l.batchSize,l.inChannels,l.inHeight,l.inWidth,l.outHeight,l.outWidth,l.strideHeight,l.strideWidth,l.dilationHeight,l.dilationWidth,l.filterHeight,l.filterWidth,l.padInfo.top,l.padInfo.left),u}var jx={kernelName:gt,backendName:`wasm`,setupFunc:kx,kernelFunc:Ax},Mx;function Nx(e){Mx=e.wasm.cwrap(vt,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Px(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,filter:a,dy:o}=t,{strides:s,pad:c,dilations:l}=r;if(i.dtype!==a.dtype||i.dtype!==o.dtype)throw Error(`Dilation2DBackpropFilter error: x must have the same dtype as filter and dy. Got ${i.dtype}, ${a.dtype}, and ${o.dtype}`);let u=vs(i.shape,a.shape,s,c,`NHWC`,l),d=n.makeOutput(a.shape,a.dtype);return Mx(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(o.dataId).id,n.dataIdMap.get(d.dataId).id,Q[i.dtype],u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.filterHeight,u.filterWidth,u.padInfo.top,u.padInfo.left),d}var Fx={kernelName:vt,backendName:`wasm`,setupFunc:Nx,kernelFunc:Px},Ix;function Lx(e){Ix=e.wasm.cwrap(_t,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Rx(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,filter:a,dy:o}=t,{strides:s,pad:c,dilations:l}=r;if(i.dtype!==a.dtype||i.dtype!==o.dtype)throw Error(`Dilation2DBackpropInput error: x must have the same dtype as filter and dy. Got ${i.dtype}, ${a.dtype}, and ${o.dtype}`);let u=vs(i.shape,a.shape,s,c,`NHWC`,l),d=n.makeOutput(i.shape,i.dtype);return Ix(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(o.dataId).id,n.dataIdMap.get(d.dataId).id,Q[i.dtype],u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.filterHeight,u.filterWidth,u.padInfo.top,u.padInfo.left),d}var zx={kernelName:_t,backendName:`wasm`,setupFunc:Lx,kernelFunc:Rx},Bx=$(`Elu`),Vx;

20function Hx(e){Vx=e.wasm.cwrap(St,null,[`number`,`number`,`number`])}function Ux(e){let{inputs:t,backend:n}=e,{dy:r,y:i}=t,a=n.makeOutput(i.shape,`float32`),o=e=>n.dataIdMap.get(e.dataId).id;return Vx(o(i),o(r),o(a)),a}var Wx={kernelName:St,backendName:`wasm`,setupFunc:Hx,kernelFunc:Ux},Gx=ly(Ct,!1,`bool`),Kx=$(`Erf`),qx=$(`Exp`,`float32`);function Jx(e){let{inputs:t,attrs:n,backend:r}=e,{input:i}=t,{dim:a}=n,o=i.shape.length,s=i.shape.slice(),c=a;return a<0&&(p(-(o+1)<=a,()=>`Axis must be in the interval [${-(o+1)}, ${o}]`),c=o+a+1),s.splice(c,0,1),nb({inputs:{x:i},backend:r,attrs:{shape:s}})}var Yx={kernelName:wt,backendName:`wasm`,kernelFunc:Jx},Xx=$(Tt,`float32`);function Zx(e){let{attrs:{shape:t,value:n},backend:r}=e,{attrs:{dtype:i}}=e;i||=ae(n);let a=r.makeOutput(t,i);return r.typedArrayFromHeap(a).fill(n),a}var Qx={kernelName:Et,backendName:`wasm`,kernelFunc:Zx},$x;function eS(e){$x=e.wasm.cwrap(Dt,null,[`number`,`number`,`number`,`number`,`number`,`number`])}function tS(e){let{inputs:t,backend:n}=e,{image:r}=t,i=n.makeOutput(r.shape,r.dtype),a=n.dataIdMap.get(r.dataId).id,o=n.dataIdMap.get(i.dataId).id,[s,c,l,u]=r.shape;return $x(a,s,c,l,u,o),i}var nS={kernelName:Dt,backendName:`wasm`,kernelFunc:tS,setupFunc:eS},rS=$(Ot),iS=ly(kt,!1),aS;function oS(e){aS=e.wasm.cwrap(At,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function sS(e){let{backend:t,inputs:n,attrs:r}=e,{varianceEpsilon:i}=r,{x:a,mean:o,variance:s,offset:c,scale:l}=n,u=t.dataIdMap.get(a.dataId).id,d=t.dataIdMap.get(o.dataId).id,f=t.dataIdMap.get(s.dataId).id,p=c==null?0:t.dataIdMap.get(c.dataId).id,m=l==null?0:t.dataIdMap.get(l.dataId).id,h=t.makeOutput(a.shape,a.dtype);if(g(a.shape)===0)return h;let _=t.dataIdMap.get(h.dataId).id;return aS(u,d,f,p,m,i,_),h}var cS={kernelName:At,backendName:`wasm`,setupFunc:oS,kernelFunc:sS},lS;function uS(e){lS=e.wasm.cwrap(xr,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function dS(e){let{inputs:t,attrs:n,backend:r}=e,{x:i,filter:a,bias:o,preluActivationWeights:s}=t,{strides:c,pad:l,dilations:u,dataFormat:d,dimRoundingMode:f,activation:p,leakyreluAlpha:m}=n,h=xs(i.shape,a.shape,c,u,l,f),g=ty[p];if(g==null)throw Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let _=r.dataIdMap.get(i.dataId).id,v=r.dataIdMap.get(a.dataId).id,y=h.outChannels,b=0;if(o!=null){let e=r.dataIdMap.get(o.dataId);if(e.shape.length!==1)throw Error(`FusedConv2D only supports rank-1 bias but got rank ${e.shape.length}.`);if(e.shape[0]!==y)throw Error(`FusedConv2D bias shape (${e.shape}) does not match the number of output channels (${y})`);b=e.id}let x=h.filterHeight,S=h.filterWidth,C=h.padInfo.top,w=h.padInfo.right,T=h.padInfo.bottom,E=h.padInfo.left,D=h.dilationHeight,O=h.dilationWidth,k=h.strideHeight,A=h.strideWidth,ee=h.inChannels,j=+(h.padInfo.type===`SAME`),te=h.batchSize,ne=h.inHeight,re=h.inWidth;if(d!==`NHWC`)throw Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let ie=r.makeOutput(h.outShape,`float32`),ae=r.dataIdMap.get(ie.dataId).id,oe=s==null?0:r.dataIdMap.get(s.dataId).id;return lS(_,te,ne,re,v,x,S,b,C,w,T,E,j,D,O,k,A,ee,y,g,oe,m||0,ae),ie}var fS={kernelName:xr,backendName:`wasm`,setupFunc:uS,kernelFunc:dS},pS;function mS(e){pS=e.wasm.cwrap(Sr,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function hS(e){let{inputs:t,attrs:n,backend:r}=e,{x:i,filter:a,bias:o,preluActivationWeights:s}=t,{strides:c,pad:l,dilations:u,dataFormat:d,dimRoundingMode:f,activation:p,leakyreluAlpha:m}=n,h=xs(i.shape,a.shape,c,u,l,f,!0),g=ty[p];if(g==null)throw Error(`${p} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let _=r.dataIdMap.get(i.dataId).id,v=r.dataIdMap.get(a.dataId).id,y=h.outChannels,b=0;if(o!=null){let e=r.dataIdMap.get(o.dataId);if(e.shape.length!==1)throw Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${e.shape.length}.`);if(e.shape[0]!==y)throw Error(`FusedDepthwiseConv2D bias shape (${e.shape}) does not match the number of output channels (${y})`);b=e.id}let x=h.filterHeight,S=h.filterWidth,C=h.padInfo.top,w=h.padInfo.right,T=h.padInfo.bottom,E=h.padInfo.left,D=h.dilationHeight,O=h.dilationWidth,k=h.strideHeight,A=h.strideWidth,ee=h.inChannels,j=+(h.padInfo.type===`SAME`),te=h.batchSize,ne=h.inHeight,re=h.inWidth;

20if(d!==`NHWC`)throw Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let ie=r.makeOutput(h.outShape,`float32`),ae=r.dataIdMap.get(ie.dataId).id,oe=s==null?0:r.dataIdMap.get(s.dataId).id;return pS(_,te,ne,re,v,x,S,b,C,w,T,E,j,D,O,k,A,ee,y,g,oe,m||0,ae),ie}var gS={kernelName:Sr,backendName:`wasm`,setupFunc:mS,kernelFunc:hS},_S;function vS(e){_S=e.wasm.cwrap(Mt,null,[`number`,`number`,`number`,`number`,`number`,`number`,`array`,`number`])}function yS(e){let{backend:t,inputs:n}=e,{params:r,indices:i}=n,[a,o,s,c]=h_(r,i),l=t.makeOutput(a,r.dtype);if(o===0)return l;let u=i.shape,d=u[u.length-1],f=t.dataIdMap.get(r.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=new Uint8Array(new Int32Array(c).buffer),h=t.dataIdMap.get(l.dataId).id;return _S(f,Q[r.dtype],p,o,d,s,m,h),l}var bS={kernelName:Mt,backendName:`wasm`,setupFunc:vS,kernelFunc:yS},xS;function SS(e){xS=e.wasm.cwrap(`Gather`,null,[`number`,`number`,`array`,`number`,`number`,`number`,`array`,`number`])}function CS(e){let{backend:t,inputs:n,attrs:r}=e,{x:i,indices:a}=n,{axis:o,batchDims:s}=r,c=T(o,i.shape)[0],l=t.readSync(a.dataId),u=i.shape[c];for(let e=0;e<l.length;++e){let t=l[e];p(t<=u-1&&t>=0,()=>`GatherV2: the index value ${t} is not in [0, ${u-1}]`)}let d=zv(i,a,c,s),f=nb({inputs:{x:i},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),m=g(a.shape),h=nb({inputs:{x:a},attrs:{shape:[d.batchSize,m/d.batchSize]},backend:t}),_=[d.batchSize,d.outerSize,m/d.batchSize,d.sliceSize],v=t.makeOutput(_,i.dtype);if(g(i.shape)===0)return v;let y=f.shape.length-1,b=t.dataIdMap.get(f.dataId).id,x=t.dataIdMap.get(h.dataId).id,S=t.dataIdMap.get(v.dataId).id,C=new Uint8Array(new Int32Array(M(f.shape)).buffer),w=new Uint8Array(new Int32Array(M(_)).buffer);return xS(b,Q[i.dtype],C,y,x,d.batchSize,w,S),t.disposeData(f.dataId),t.disposeData(h.dataId),v.shape=d.outputShape,v}var wS={kernelName:jt,backendName:`wasm`,setupFunc:SS,kernelFunc:CS},TS=ly(Nt,!1,`bool`),ES=ly(Pt,!1,`bool`),DS=$(Rt,`bool`),OS=$(zt,`bool`),kS=$(Bt,`bool`),AS;function jS(e){AS=e.wasm.cwrap(Vt,null,[`number`,`number`,`number`,`number`])}function MS(e){let{inputs:{x:t},attrs:{alpha:n},backend:r}=e,i=r.dataIdMap.get(t.dataId).id,a=r.makeOutput(t.shape,`float32`);if(g(t.shape)!==0){let e=r.dataIdMap.get(a.dataId).id;AS(i,Q[t.dtype],n,e)}return a}var NS={kernelName:Vt,backendName:`wasm`,setupFunc:jS,kernelFunc:MS},PS=ly(Ht,!1,`bool`),FS=ly(Ut,!1,`bool`),IS;function LS(e){IS=e.wasm.cwrap(Wt,null,[`number`,`number`,`number`,`number`])}function RS(e){let{attrs:t,backend:n}=e,{start:r,stop:i,num:a}=t,o=Math.floor(a),s=n.makeOutput([o],`float32`);return IS(n.dataIdMap.get(s.dataId).id,r,i,o),s}var zS={kernelName:Wt,backendName:`wasm`,setupFunc:LS,kernelFunc:RS},BS=$(`Log`),VS=$(Gt),HS=ly(Kt,!1,`bool`),US=$(qt),WS=ly(Jt,!1,`bool`),GS=ly(Yt,!1,`bool`),KS;function qS(e){KS=e.wasm.cwrap(`LRN`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function JS(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{depthRadius:a,bias:o,alpha:s,beta:c}=r;if(i.dtype!==`float32`)throw Error(`LRN error: x must have dtype float32`);let l=n.makeOutput(i.shape,i.dtype);return KS(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(l.dataId).id,i.shape[3],a,o,s,c),l}var YS={kernelName:`LRN`,backendName:`wasm`,setupFunc:qS,kernelFunc:JS},XS;function ZS(e){XS=e.wasm.cwrap(Zt,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function QS(e){let{inputs:t,backend:n,attrs:r}=e,{x:i,y:a,dy:o}=t,{depthRadius:s,bias:c,alpha:l,beta:u}=r;if(i.dtype!==`float32`||a.dtype!==`float32`||o.dtype!==`float32`)throw Error(`LRNGrad error: x, y, and dy must have dtype float32`);let d=n.makeOutput(i.shape,i.dtype);return XS(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(o.dataId).id,n.dataIdMap.get(d.dataId).id,o.shape[3],s,c,l,u),d}var $S={kernelName:Zt,backendName:`wasm`,setupFunc:ZS,kernelFunc:QS},eC;function tC(e){eC=e.wasm.cwrap(`Max`,null,[`number`,`number`,`number`,`number`])}function nC(e){let{backend:t,inputs:n,attrs:r}=e,{reductionIndices:i,keepDims:a}=r,{x:o}=n,s=t.dataIdMap.get(o.dataId).id,c=o,{transposed:l,axes:u,originalAxes:d,inputWasTransposed:f}=Cy(o,i,t);

20if(f){let e=t.dataIdMap.get(l.dataId).id;c=l,s=e}let p=c.shape.length;Ml(`max`,u,p);let[m,h]=Al(c.shape,u),_=g(h),v=t.makeOutput(m,o.dtype);if(g(c.shape)!==0){let e=t.dataIdMap.get(v.dataId).id;eC(s,Q[o.dtype],_,e)}return f&&t.disposeData(l.dataId),a&&(v.shape=jl(v.shape,d)),v}var rC={kernelName:`Max`,backendName:`wasm`,setupFunc:tC,kernelFunc:nC},iC=ly(Qt,!1),aC;function oC(e){aC=e.wasm.cwrap($t,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function sC(e){let{inputs:t,attrs:n,backend:r}=e,i=t.x,a=r.dataIdMap.get(i.dataId).id;p(i.dtype===`float32`,()=>`Error in MaxPool: only float32 input is supported. Got ${i.dtype}.`);let{filterSize:o,strides:s,pad:c,dimRoundingMode:l}=n,u=ys(i.shape,o,s,1,c,l),d=u.filterHeight,f=u.filterWidth,m=u.padInfo.top,h=u.padInfo.right,g=u.padInfo.bottom,_=u.padInfo.left,v=u.dilationHeight,y=u.dilationWidth,b=u.strideHeight,x=u.strideWidth,S=u.inChannels,C=u.outChannels;if(u.dataFormat!==`channelsLast`)throw Error(`wasm backend does not support dataFormat:'${u.dataFormat}'. Please use 'channelsLast'.`);let w=r.makeOutput(u.outShape,`float32`),T=r.dataIdMap.get(w.dataId).id;return aC(a,i.shape[0],i.shape[1],i.shape[2],d,f,m,h,g,_,v,y,b,x,S,C,T),w}var cC={kernelName:$t,backendName:`wasm`,setupFunc:oC,kernelFunc:sC},lC;function uC(e){lC=e.wasm.cwrap(`MaxPool3D`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function dC(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{filterSize:a,strides:o,pad:s,dimRoundingMode:c,dataFormat:l}=r,u=bs(i.shape,a,o,1,s,c,l),d=n.makeOutput(u.outShape,i.dtype);return lC(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,u.batchSize,u.inChannels,u.inDepth,u.inHeight,u.inWidth,u.outDepth,u.outHeight,u.outWidth,u.strideDepth,u.strideHeight,u.strideWidth,u.dilationDepth,u.dilationHeight,u.dilationWidth,u.effectiveFilterDepth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.front,u.padInfo.top,u.padInfo.left),d}var fC={kernelName:tn,backendName:`wasm`,setupFunc:uC,kernelFunc:dC},pC;function mC(e){pC=e.wasm.cwrap(`MaxPool3DGrad`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function hC(e){let{inputs:t,backend:n,attrs:r}=e,{dy:i,input:a}=t,{filterSize:o,strides:s,pad:c,dimRoundingMode:l}=r,u=bs(a.shape,o,s,1,c,l),d=n.makeOutput(a.shape,a.dtype);return pC(n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,u.batchSize,u.inChannels,u.inDepth,u.inHeight,u.inWidth,u.outDepth,u.outHeight,u.outWidth,u.strideDepth,u.strideHeight,u.strideWidth,u.dilationDepth,u.dilationHeight,u.dilationWidth,u.effectiveFilterDepth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.front,u.padInfo.top,u.padInfo.left),d}var gC={kernelName:nn,backendName:`wasm`,setupFunc:mC,kernelFunc:hC},_C;function vC(e){_C=e.wasm.cwrap(`MaxPoolGrad`,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function yC(e){let{inputs:t,backend:n,attrs:r}=e,{dy:i,input:a}=t,{filterSize:o,strides:s,pad:c,dimRoundingMode:l}=r,u=ys(a.shape,o,s,1,c,l),d=n.makeOutput(a.shape,a.dtype);return _C(n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.top,u.padInfo.left),d}var bC={kernelName:en,backendName:`wasm`,setupFunc:vC,kernelFunc:yC},xC;function SC(e){xC=e.wasm.cwrap(`MaxPoolWithArgmax`,null,[`number`,`number`,`number`,`number`,`boolean`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function CC(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{filterSize:a,strides:o,pad:s,includeBatchInIndex:c}=r;p(i.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${i.shape.length}.`);let l=[1,1];p(Ns(o,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${o} and dilations '${l}'`);let u=ys(i.shape,a,o,[1,1],s),d=n.makeOutput(u.outShape,i.dtype),f=n.makeOutput(u.outShape,`int32`);return xC(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(d.dataId).id,n.dataIdMap.get(f.dataId).id,Q[i.dtype],c,u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.effectiveFilterHeight,u.effectiveFilterWidth,u.padInfo.top,u.padInfo.left),[d,f]}var wC={kernelName:rn,backendName:`wasm`,setupFunc:SC,kernelFunc:CC},TC;function EC(e){TC=e.wasm.cwrap(an,null,[`number, number, number`])}function DC(e){let{backend:t,inputs:n,attrs:r}=e,{axis:i,keepDims:a}=r,{x:o}=n,s=t.dataIdMap.get(o.dataId).id,c=s,l=o,{transposed:u,axes:d,originalAxes:f,inputWasTransposed:p}=Cy(o,i,t),m=d;if(p){let e=t.dataIdMap.get(u.dataId).id;e!==s&&(l=u,c=e,m=Fl(m.length,l.shape.length))}Ml(`mean`,m,l.shape.length);let[h,_]=Al(l.shape,m),v=g(_),y=l;l.dtype!==`float32`&&(y=Sb({backend:t,inputs:{x:l},attrs:{dtype:`float32`}}),c=t.dataIdMap.get(y.dataId).id);let b=t.makeOutput(h,`float32`);if(g(l.shape)!==0){let e=t.dataIdMap.get(b.dataId).id;TC(c,v,e)}return p&&t.disposeData(u.dataId),a&&(b.shape=jl(b.shape,f)),l.dtype!==`float32`&&t.dis

20poseData(y.dataId),b}var OC={kernelName:an,backendName:`wasm`,setupFunc:EC,kernelFunc:DC},kC;function AC(e){kC=e.wasm.cwrap(`Min`,null,[`number`,`number`,`number`,`number`])}function jC(e){let{backend:t,inputs:n,attrs:r}=e,{axis:i,keepDims:a}=r,{x:o}=n,s=t.dataIdMap.get(o.dataId).id,c=s,l=o,{transposed:u,axes:d,originalAxes:f,inputWasTransposed:p}=Cy(o,i,t);if(p){let e=t.dataIdMap.get(u.dataId).id;e!==s&&(l=u,c=e)}let m=l.shape.length;Ml(`min`,d,m);let[h,_]=Al(l.shape,d),v=g(_),y=t.makeOutput(h,l.dtype);if(g(l.shape)!==0){let e=t.dataIdMap.get(y.dataId).id;kC(c,Q[o.dtype],v,e)}return p&&t.disposeData(u.dataId),a&&(y.shape=jl(y.shape,f)),y}var MC={kernelName:`Min`,backendName:`wasm`,setupFunc:AC,kernelFunc:jC},NC=ly(on,!1),PC;(function(e){e[e.reflect=0]=`reflect`,e[e.symmetric=1]=`symmetric`})(PC||={});var FC;function IC(e){FC=e.wasm.cwrap(sn,null,[`number`,`array`,`number`,`number`,`array`,`array`,`number`,`number`])}function LC(e){let{inputs:{x:t},backend:n,attrs:{paddings:r,mode:i}}=e,a=r.map((e,n)=>e[0]+t.shape[n]+e[1]),o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(a,t.dtype),c=n.dataIdMap.get(s.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),u=r.map(e=>e[0]),d=r.map(e=>e[1]),f=new Uint8Array(new Int32Array(u).buffer),p=new Uint8Array(new Int32Array(d).buffer);return FC(o,l,t.shape.length,Q[t.dtype],f,p,PC[i],c),s}var RC={kernelName:sn,backendName:`wasm`,kernelFunc:LC,setupFunc:IC},zC;function BC(e){zC=e.wasm.cwrap(Yn,null,[`number`,`number`,`number`,`number`])}function VC(e){let{backend:t,inputs:{logits:n},attrs:{dim:r}}=e,i=t.dataIdMap.get(n.dataId).id,a=t.makeOutput(n.shape,n.dtype),o=t.dataIdMap.get(a.dataId).id,s=n.shape[r],c=g(n.shape)/s;return g(a.shape)===0||zC(i,o,s,c),a}var HC={kernelName:Yn,backendName:`wasm`,setupFunc:BC,kernelFunc:VC},UC;function WC(e){UC=e.wasm.cwrap(cn,null,[`number`,`number`,`number`,`number`,`number`,`number`])}function GC(e){let{inputs:t,backend:n,attrs:r}=e,{logits:i}=t,{numSamples:a,seed:o,normalized:s}=r;if(i.dtype!==`float32`)throw Error(`Tensor logits must have dtype float32, got ${i.dtype}`);let c=s?i:VC({inputs:{logits:i},backend:n,attrs:{dim:i.shape.length-1}}),[l,u]=c.shape,d=n.makeOutput([l,a],`int32`);return UC(n.dataIdMap.get(c.dataId).id,l,u,a,o,n.dataIdMap.get(d.dataId).id),s||n.disposeData(c.dataId),d}var KC={kernelName:cn,backendName:`wasm`,setupFunc:WC,kernelFunc:GC},qC=ly(`Mod`,!0),JC=ly(ln,!0),YC=$(`Neg`);function XC(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),r=n[0],i=n[1],a=n[2],o=n[3];return e.wasm._free(t),{pSelectedIndices:r,selectedSize:i,pSelectedScores:a,pValidOutputs:o}}var ZC;function QC(e){ZC=e.wasm.cwrap(dn,`number`,[`number`,`number`,`number`,`number`,`number`])}function $C(e){let{backend:t,inputs:n,attrs:r}=e,{iouThreshold:i,maxOutputSize:a,scoreThreshold:o}=r,{boxes:s,scores:c}=n,l=t.dataIdMap.get(s.dataId).id,u=t.dataIdMap.get(c.dataId).id,{pSelectedIndices:d,selectedSize:f,pSelectedScores:p,pValidOutputs:m}=XC(t,ZC(l,u,a,i,o));return t.wasm._free(p),t.wasm._free(m),t.makeOutput([f],`int32`,d)}var ew={kernelName:dn,backendName:`wasm`,setupFunc:QC,kernelFunc:$C},tw;function nw(e){tw=e.wasm.cwrap(fn,`number`,[`number`,`number`,`number`,`number`,`number`,`bool`])}function rw(e){let{backend:t,inputs:n,attrs:r}=e,{iouThreshold:i,maxOutputSize:a,scoreThreshold:o,padToMaxOutputSize:s}=r,{boxes:c,scores:l}=n,u=t.dataIdMap.get(c.dataId).id,d=t.dataIdMap.get(l.dataId).id,{pSelectedIndices:f,selectedSize:p,pSelectedScores:m,pValidOutputs:h}=XC(t,tw(u,d,a,i,o,s));return t.wasm._free(m),[t.makeOutput([p],`int32`,f),t.makeOutput([],`int32`,h)]}var iw={kernelName:fn,backendName:`wasm`,setupFunc:nw,kernelFunc:rw},aw;function ow(e){aw=e.wasm.cwrap(pn,`number`,[`number`,`number`,`number`,`number`,`number`,`number`])}function sw(e){let{backend:t,inputs:n,attrs:r}=e,{iouThreshold:i,maxOutputSize:a,scoreThreshold:o,softNmsSigma:s}=r,{boxes:c,scores:l}=n,u=t.dataIdMap.get(c.dataId).id,d=t.dataIdMap.get(l.dataId).id,{pSelectedIndices:f,selectedSize:p,pSelectedScores:m,pValidOutputs:h}=XC(t,aw(u,d,a,i,o,s));return t.wasm._free(h),[t.makeOutput([p],`int32`,f),t.makeOutput([p],`float32`,m)]}var cw={kernelName:pn,backendName:`wasm`,setupFunc:ow,kernelFunc:sw},lw=ly(un,!1,`bool`),uw;function dw(e){uw=e.wasm.cwrap(hn,null,[`number`,`number`,`number`,`number`,`number`])}function fw(e){let{inputs:t,backend:n,attrs:r}=e,{indices:i}=t,{dtype:a,depth:o,onValue:s,offValue:c}=r,l=n.makeOutput([...i.shape,o],a),u=n.dataIdMap.get(l.dataId).id,d=n.dataIdMap.get(i.dataId).id;return uw(d,o,s,c,u),l}var pw={kernelName:hn,backendName:`wasm`,setupFunc:dw,kernelFunc:fw};function mw(e){let{inputs:{x:t},backend:n}=e,r=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(r).fill(1),r}var hw={kernelName:mn,backendName:`wasm`,kernelFunc:mw};function gw(e){let{inputs:t,backend:n,attrs:r}=e,{axis:i}=r;

20if(t.length===1)return Jx({inputs:{input:t[0]},backend:n,attrs:{dim:i}});let a=t[0].shape,o=t[0].dtype;t.forEach(e=>{m(a,e.shape,`All tensors passed to stack must have matching shapes`),p(o===e.dtype,()=>`All tensors passed to stack must have matching dtypes`)});let s=[],c=kb({inputs:t.map(e=>{let t=Jx({inputs:{input:e},backend:n,attrs:{dim:i}});return s.push(t),t}),backend:n,attrs:{axis:i}});return s.forEach(e=>n.disposeData(e.dataId)),c}var _w={kernelName:gn,backendName:`wasm`,kernelFunc:gw},vw;function yw(e){vw=e.wasm.cwrap(_n,null,[`number`,`array`,`number`,`number`,`array`,`array`,`number`,`number`])}function bw(e){let{inputs:{x:t},backend:n,attrs:{paddings:r,constantValue:i}}=e,a=r.map((e,n)=>e[0]+t.shape[n]+e[1]);if(g(t.shape)===0)return Zx({backend:n,attrs:{shape:a,value:i,dtype:t.dtype}});let o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(a,t.dtype),c=n.dataIdMap.get(s.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),u=r.map(e=>e[0]),d=r.map(e=>e[1]),f=new Uint8Array(new Int32Array(u).buffer),p=new Uint8Array(new Int32Array(d).buffer);return vw(o,l,t.shape.length,Q[t.dtype],f,p,i,c),s}var xw={kernelName:_n,backendName:`wasm`,kernelFunc:bw,setupFunc:yw},Sw=ly(`Pow`,!1),Cw;function ww(e){Cw=e.wasm.cwrap(vn,null,[`number`,`number`,`number`])}function Tw(e){let{inputs:t,backend:n}=e,{x:r,alpha:i}=t,a=n.dataIdMap.get(r.dataId).id,o=n.dataIdMap.get(i.dataId).id,s=a,c=r,l=c;c.dtype!==`float32`&&(l=Sb({backend:n,inputs:{x:r},attrs:{dtype:`float32`}}),s=n.dataIdMap.get(l.dataId).id);let u=n.makeOutput(r.shape,`float32`),d=n.dataIdMap.get(u.dataId).id;return Cw(s,o,d),c.dtype!==`float32`&&n.disposeData(l.dataId),u}var Ew={kernelName:vn,backendName:`wasm`,setupFunc:ww,kernelFunc:Tw},Dw;function Ow(e){Dw=e.wasm.cwrap(yn,null,[`number`,`number`,`number`,`number`])}function kw(e){let{backend:t,inputs:n,attrs:r}=e,{axis:i,keepDims:a}=r,{x:o}=n,s=t.dataIdMap.get(o.dataId).id,c=s,l=o,{transposed:u,axes:d,originalAxes:f,inputWasTransposed:p}=Cy(o,i,t),m=d;if(p){let e=t.dataIdMap.get(u.dataId).id;e!==s&&(l=u,c=e,m=Fl(m.length,l.shape.length))}Ml(`prod`,m,l.shape.length);let[h,_]=Al(l.shape,m),v=g(_),y=t.makeOutput(h,l.dtype);if(g(l.shape)!==0){let e=t.dataIdMap.get(y.dataId).id;Dw(c,v,Q[y.dtype],e)}return p&&t.disposeData(u.dataId),a&&(y.shape=jl(y.shape,f)),y}var Aw={kernelName:yn,backendName:`wasm`,setupFunc:Ow,kernelFunc:kw},jw={kernelName:Cn,backendName:`wasm`,kernelFunc:e=>{let{backend:t,attrs:n}=e,{start:r,stop:i,step:a,dtype:o}=n,s=Gv(r,i,a,o),c=t.makeOutput([s.length],o);return t.typedArrayFromHeap(c).set(s),c}},Mw=ly(bt,!0),Nw=$(Tn),Pw=$(En),Fw=$(Mn),Iw;function Lw(e){Iw=e.wasm.cwrap(An,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Rw(e){let{backend:t,inputs:n,attrs:r}=e,{images:i}=n,{alignCorners:a,halfPixelCenters:o,size:s}=r,[c,l]=s,[u,d,f,p]=i.shape,m=[u,c,l,p],h=t.dataIdMap.get(i.dataId),_;h.dtype!==`float32`&&(_=Sb({backend:t,inputs:{x:i},attrs:{dtype:`float32`}}),h=t.dataIdMap.get(_.dataId));let v=h.id,y=t.makeOutput(m,`float32`);if(g(i.shape)===0)return y;let b=t.dataIdMap.get(y.dataId).id;return Iw(v,u,d,f,p,c,l,+!!a,+!!o,b),_!=null&&t.disposeData(_.dataId),y}var zw={kernelName:An,backendName:`wasm`,setupFunc:Lw,kernelFunc:Rw},Bw;function Vw(e){Bw=e.wasm.cwrap(jn,null,[`number`,`number`,`number`,`array`,`array`,`boolean`])}function Hw(e){let{inputs:t,backend:n,attrs:r}=e,{images:i,dy:a}=t,{alignCorners:o}=r,s=n.makeOutput(i.shape,`float32`),c=n.dataIdMap.get(i.dataId),l;return c.dtype!==`float32`&&(l=Sb({backend:n,inputs:{x:i},attrs:{dtype:`float32`}}),c=n.dataIdMap.get(l.dataId)),Bw(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(s.dataId).id,new Uint8Array(new Int32Array(i.shape).buffer),new Uint8Array(new Int32Array(a.shape).buffer),o),l!=null&&n.disposeData(l.dataId),s}var Uw={kernelName:jn,backendName:`wasm`,setupFunc:Vw,kernelFunc:Hw},Ww;function Gw(e){Ww=e.wasm.cwrap(On,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function Kw(e){let{backend:t,inputs:n,attrs:r}=e,{images:i}=n,{alignCorners:a,halfPixelCenters:o,size:s}=r,[c,l]=s,[u,d,f,p]=i.shape,m=[u,c,l,p],h=t.makeOutput(m,`float32`);if(g(i.shape)===0)return h;let _=t.dataIdMap.get(i.dataId),v;_.dtype!==`float32`&&(v=Sb({backend:t,inputs:{x:i},attrs:{dtype:`float32`}}),_=t.dataIdMap.get(v.dataId));let y=_.id,b=t.dataIdMap.get(h.dataId).id;

20return Ww(y,u,d,f,p,c,l,+!!a,+!!o,b),v!=null&&t.disposeData(v.dataId),h}var qw={kernelName:On,backendName:`wasm`,setupFunc:Gw,kernelFunc:Kw},Jw;function Yw(e){Jw=e.wasm.cwrap(kn,null,[`number`,`number`,`number`,`array`,`array`,`boolean`])}function Xw(e){let{inputs:t,backend:n,attrs:r}=e,{images:i,dy:a}=t,{alignCorners:o}=r,s=n.makeOutput(i.shape,`float32`),c=n.dataIdMap.get(i.dataId),l;return c.dtype!==`float32`&&(l=Sb({backend:n,inputs:{x:i},attrs:{dtype:`float32`}}),c=n.dataIdMap.get(l.dataId)),Jw(n.dataIdMap.get(i.dataId).id,n.dataIdMap.get(a.dataId).id,n.dataIdMap.get(s.dataId).id,new Uint8Array(new Int32Array(i.shape).buffer),new Uint8Array(new Int32Array(a.shape).buffer),o),l!=null&&n.disposeData(l.dataId),s}var Zw={kernelName:kn,backendName:`wasm`,setupFunc:Yw,kernelFunc:Xw},Qw;function $w(e){Qw=e.wasm.cwrap(Nn,null,[`number`,`array`,`number`,`array`,`number`,`number`])}function eT(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{dims:a}=r,o=T(a,i.shape);if(i.shape.length===0)return hy({inputs:{x:i},backend:n});let s=n.makeOutput(i.shape,i.dtype),c=n.dataIdMap.get(i.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=new Uint8Array(new Int32Array(o).buffer),d=new Uint8Array(new Int32Array(i.shape).buffer);Qw(c,u,o.length,d,i.shape.length,l);let f=nb({inputs:{x:s},attrs:{shape:i.shape},backend:n});return n.disposeData(s.dataId),f}var tT={kernelName:Nn,backendName:`wasm`,kernelFunc:eT,setupFunc:$w},nT;function rT(e){nT=e.wasm.cwrap(yr,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`array`,`number`,`number`])}function iT(e){let{inputs:t,backend:n,attrs:r}=e,{image:i}=t,{radians:a,fillValue:o,center:s}=r,c=n.makeOutput(i.shape,i.dtype),l=n.dataIdMap.get(i.dataId).id,u=n.dataIdMap.get(c.dataId).id,[d,f,p,m]=i.shape,[h,g]=G_(s,f,p),_=typeof o==`number`?[o,o,o,o===0?0:255]:[...o,255],v=new Uint8Array(new Int32Array(_).buffer);return nT(l,d,f,p,m,a,h,g,v,_.length,u),c}var aT={kernelName:yr,backendName:`wasm`,kernelFunc:iT,setupFunc:rT},oT=$(Pn),sT=$(Fn),cT;function lT(e){cT=e.wasm.cwrap(In,null,[`number`,`number`,`number`,`number`,`number`,`number`,`array`,`number`,`number`])}function uT(e){let{backend:t,inputs:n,attrs:r}=e,{indices:i,updates:a}=n,{shape:o}=r,s=t.makeOutput(o,a.dtype);if(g(o)===0)return s;let{sliceRank:c,numUpdates:l,sliceSize:u,strides:d,outputSize:f}=am(a,i,o),p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,h=new Uint8Array(new Int32Array(d).buffer),_=t.dataIdMap.get(s.dataId).id;return cT(p,m,Q[a.dtype],c,l,u,h,f,_),s}var dT={kernelName:In,backendName:`wasm`,setupFunc:lT,kernelFunc:uT},fT;function pT(e){fT=e.wasm.cwrap(Rn,null,[`number`,`number`,`number`,`number`,`number`,`number`,`bool`,`number`])}function mT(e){let{inputs:t,backend:n,attrs:r}=e,{sortedSequence:i,values:a}=t,{side:o}=r;if(i.dtype!==a.dtype)throw Error(`SearchSorted error: sorted_sequence must have the same dtype as values. Got ${i.dtype} and ${a.dtype}`);let s=n.makeOutput(a.shape,`int32`);function c(e){return n.dataIdMap.get(e.dataId).id}return fT(c(i),c(a),i.shape[0],i.shape[1],a.shape[1],Q[i.dtype],o===`left`,c(s)),s}var hT={kernelName:Rn,backendName:`wasm`,setupFunc:pT,kernelFunc:mT},gT;function _T(e){gT=e.wasm.cwrap(`SelectV2`,null,[`number`,`number`,`number`,`number`,`number`])}function vT(e){let{inputs:t,backend:n}=e,{condition:r,t:i,e:a}=t,o=n.dataIdMap.get(r.dataId).id,s=n.dataIdMap.get(i.dataId).id,c=n.dataIdMap.get(a.dataId).id,l=n.makeOutput(i.shape,i.dtype),u=n.dataIdMap.get(l.dataId).id,d=r.shape.length,f=i.shape.length,p=d===0||d>1||f===1?1:g(i.shape.slice(1));return gT(o,s,c,p,u),l}var yT={kernelName:zn,backendName:`wasm`,kernelFunc:vT,setupFunc:_T},bT=$(Bn),xT;function ST(e){xT=e.wasm.cwrap(Wn,null,[`number`,`number`])}function CT(e){let{backend:t,inputs:{x:n}}=e,r=t.dataIdMap.get(n.dataId).id,i=t.makeOutput(n.shape,n.dtype),a=t.dataIdMap.get(i.dataId).id;return g(i.shape)===0||xT(r,a),i}var wT={kernelName:`Sigmoid`,backendName:`wasm`,setupFunc:ST,kernelFunc:CT},TT=$(Un),ET=$(`Sin`),DT=$(Hn),OT=$(Gn);function kT(e){let{inputs:t,backend:n,attrs:r}=e,{x:i}=t,{blockShape:a,paddings:o}=r,s=g(a),c=[[0,0]];c.push(...o);for(let e=1+a.length;e<i.shape.length;++e)c.push([0,0]);

20let l=xw.kernelFunc({inputs:{x:i},backend:n,attrs:{paddings:c,constantValue:0}}),u=K_(l.shape,a,s,!1),d=q_(u.length,a.length,!1),f=J_(l.shape,a,s,!1),p=nb({inputs:{x:l},backend:n,attrs:{shape:u}}),m=yy({inputs:{x:p},backend:n,attrs:{perm:d}}),h=nb({inputs:{x:m},backend:n,attrs:{shape:f}});return n.disposeData(l.dataId),n.disposeData(p.dataId),n.disposeData(m.dataId),h}var AT={kernelName:qn,backendName:`wasm`,kernelFunc:kT},jT;function MT(e){jT=e.wasm.cwrap(`SparseFillEmptyRows`,`number`,[`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function NT(e){let{backend:t,inputs:n}=e,{indices:r,values:i,denseShape:a,defaultValue:o}=n,s=r.shape[0],c=r.shape[1],l=t.readSync(a.dataId)[0],u=[s+l,c],d=t.dataIdMap.get(r.dataId).id,f=t.dataIdMap.get(i.dataId).id,p=t.dataIdMap.get(o.dataId).id,m=t.makeOutput(u,r.dtype),h=t.dataIdMap.get(m.dataId).id,g=t.makeOutput(u.slice(0,1),i.dtype),_=t.dataIdMap.get(g.dataId).id,v=t.makeOutput([l],`bool`),y=t.dataIdMap.get(v.dataId).id,b=t.makeOutput([s],r.dtype),x=t.dataIdMap.get(b.dataId).id,S=t.makeOutput([4],`int32`),C=t.dataIdMap.get(S.dataId).id,w=jT(d,f,Q[i.dtype],s,l,c,p,h,_,y,x,C),T=t.readSync(S.dataId),E;switch(T[0]){case 1:E=wv(T[1]);break;case 2:E=Tv(T[1],T[2]);break;case 3:E=Ev(T[1],T[2],T[3]);break;default:E=``}if(t.disposeData(S.dataId),E)throw t.disposeData(m.dataId),t.disposeData(g.dataId),t.disposeData(v.dataId),t.disposeData(b.dataId),Error(E);let D=m,O=g;return w!==u[0]&&(D=cb({inputs:{x:m},attrs:{begin:0,size:[w,c]},backend:t}),O=cb({inputs:{x:g},attrs:{begin:0,size:w},backend:t}),t.disposeData(m.dataId),t.disposeData(g.dataId)),[D,O,v,b]}var PT={kernelName:Xn,backendName:`wasm`,setupFunc:MT,kernelFunc:NT},FT;function IT(e){FT=e.wasm.cwrap(Zn,null,[`number`,`number`,`number`,`number`,`number`,`number`,`number`])}function LT(e){let{backend:t,inputs:n}=e,{inputIndices:r,inputShape:i,newShape:a}=n;if(r.shape.length!==2)throw Error(`Input indices should be a matrix but received shape
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as Tt,T as Tu,ev as U,ss as Ua,ln as Uc,al as Ui,sr as Ul,ip as Un,Zi as Uo,Yu as Ur,ct as Us,eh as Ut,av as V,ds as Va,sn as Vc,ll as Vi,ar as Vl,cp as Vn,R as Vo,$u as Vr,lt as Vs,ah as Vt,tv as W,as as Wa,dn as Wc,rl as Wi,cr as Wl,np as Wn,L as Wo,qu as Wr,ut as Ws,Qm as Wt,Z_ as X,qo as Xa,gn as Xc,Gc as Xi,pr as Xl,Wf as Xn,bi as Xo,Pu as Xr,gt as Xs,Rm as Xt,Q_ as Y,Yo as Ya,mn as Yc,qc as Yi,fr as Yl,Kf as Yn,Ti as Yo,Iu as Yr,ht as Ys,zm as Yt,q_ as Z,W as Za,_n as Zc,Uc as Zi,mr as Zl,Hf as Zn,Ei as Zo,Mu as Zr,vt as Zs,Fm as Zt,Fv as _,ic as _a,It as _c,X as _i,Fn as _l,$p as _n,Ca as _o,Wd as _r,Le as _s,h_ as _t,_e as _u,Xv as a,Dc as aa,Et as ac,_u as ai,bt as al,ym as an,Mo as ao,Cf as ar,jr as as,B_ as at,j as au,Pv as b,Zs as ba,Rt as bc,Y as bi,zn as bl,Xp as bn,Ra as bo,Rd as br,He as bs,u_ as bt,he as bu,Kv as c,xc as ca,kt as cc,du as ci,Mn as cl,hm as cn,Ao as co,df as cr,ke as cs,U_ as ct,ue as cu,Uv as d,gc as da,xr as dc,au as di,jn as dl,lm as dn,Ya as do,af as dr,Me as ds,y_ as dt,ee as du,Lc as ea,xt as ec,Du as ei,bn as el,Om as en,H as eo,Lf as er,ni as es,Y_ as et,br as eu,Bv as f,mc as fa,Sr as fc,ru as fi,On as fl,sm as fn,Ja as fo,nf as fr,Ne as fs,M_ as ft,ge as fu,Lv as g,oc as ga,Pt as gc,Yl as gi,Pn as gl,em as gn,Pa as go,Kd as gr,Re as gs,P_ as gt,ie as gu,Rv as h,cc as ha,Nt as hc,Zl as hi,yr as hl,tm as hn,Fa as ho,Jd as hr,Ie as hs,N_ as ht,b as hu,Qv as i,kc as ia,Tt as ic,yu as ii,wn as il,bm as in,Io as io,kf as ir,$r as is,z_ as it,m as iu,_v as j,Ss as ja,qt as jc,Tl as ji,Qn as jl,Op as jn,_a as jo,vd as jr,Ze as js,Zg as jt,E as ju,Cv as k,Is as ka,Xt as kc,Pl as ki,Xn as kl,Mp as kn,ha as ko,bd as kr,Xe as ks,Yg as kt,g as ku,Gv as l,yc as la,vr as lc,lu as li,Dn as ll,pm as ln,Oo as lo,lf as lr,Ae as ls,L_ as lt,O as lu,zv as m,uc as ma,jt as mc,$l as mi,Nn as ml,nm as mn,Ka as mo,Xd as mr,Fe as ms,j_ as mt,w as mu,ey as n,Nc as na,Ct as nc,Cu as ni,Sn as nl,wm as nn,zo as no,Nf as nr,ii as ns,G_ as nt,y as nu,qv as o,Tc as oa,Dt as oc,hu as oi,Tn as ol,vm as on,ko as oo,hf as or,Ar as os,H_ as ot,l as ou,Vv as p,fc as pa,Mt as pc,tu as pi,kn as pl,am as pn,qa as po,Qd as pr,Pe as ps,x_ as pt,ae as pu,iv as q,$o as qa,un as qc,Zc as qi,ur as ql,Xf as qn,Fi as qo,Hu as qr,pt as qs,Hm as qt,$v as r,jc as ra,wt as rc,xu as ri,Cn as rl,Sm as rn,V as ro,jf as rr,ei as rs,W_ as rt,p as ru,Jv as s,Cc as sa,Ot as sc,pu as si,En as sl,_m as sn,Do as so,pf as sr,Cr as ss,V_ as st,M as su,lD as t,Fc as ta,St as tc,Tu as ti,xn as tl,Em as tn,Bo as to,Ff as tr,ai as ts,X_ as tt,N as tu,Wv as u,vc as ua,At as uc,su as ui,An as ul,dm as un,Ga as uo,sf as ur,je as us,R_ as ut,D as uu,Mv as v,nc as va,Ft as vc,Gl as vi,In as vl,Qp as vn,Oa as vo,Hd as vr,ze as vs,f_ as vt,_ as vu,Dv as w,K as wa,Vt as wc,Ml as wi,Hn as wl,Hp as wn,Ba as wo,Ad as wr,Ge as ws,o_ as wt,u as wu,kv as x,Ys as xa,zt as xc,Vl as xi,Bn as xl,Jp as xn,La as xo,Id as xr,Be as xs,l_ as xt,de as xu,Nv as y,$s as ya,Lt as yc,Ul as yi,Rn as yl,Zp as yn,Sa as yo,Bd as yr,Ve as ys,d_ as yt,ne as yu,dv as z,hs as za,an as zc,J as zi,_r as zl,fp as zn,ia as zo,rd as zr,at as zs,Mh as zt};