human/dist/human.js

4168 lines
1.2 MiB

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"+(" Buffer shape="+this.shape);throw new Error(o)}r++}for(var c=t[t.length-1],l=0;l<t.length-1;++l)c+=this.strides[l]*t[l];return this.values[c]},n.prototype.locToIndex=function(t){if(this.rank===0)return 0;if(this.rank===1)return t[0];for(var e=t[t.length-1],r=0;r<t.length-1;++r)e+=this.strides[r]*t[r];return e},n.prototype.indexToLoc=function(t){if(this.rank===0)return[];if(this.rank===1)return[t];for(var e=new Array(this.shape.length),r=0;r<e.length-1;++r)e[r]=Math.floor(t/this.strides[r]),t-=e[r]*this.strides[r];return e[e.length-1]=t,e},Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.toTensor=function(){return Cn().makeTensor(this.values,this.shape,this.dtype)},n}(),Cn=null,Ii=null;function $L(n){Cn=n}function XL(n){Ii=n}var K=function(){function n(t,e,r,i){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=pt(t),this.strides=bi(t),this.dataId=r,this.id=i,this.rankType=this.rank<5?this.rank.toString():"higher"}return Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.buffer=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,Ii.buffer(this.shape,this.dtype,t)]}})})},n.prototype.bufferSync=function(){return Ii.buffer(this.shape,this.dtype,this.dataSync())},n.prototype.array=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,xi(this.shape,t)]}})})},n.prototype.arraySync=function(){return xi(this.shape,this.dataSync())},n.prototype.data=function(){return pe(this,void 0,void 0,function(){var t,e;return fe(this,function(r){switch(r.label){case 0:return this.throwIfDisposed(),t=Cn().read(this.dataId),this.dtype==="string"?[4,t]:[3,2];case 1:e=r.sent();try{return[2,e.map(function(i){return fu(i)})]}catch(i){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}r.label=2;case 2:return[2,t]}})})},n.prototype.dataSync=function(){this.throwIfDisposed();var t=Cn().readSync(this.dataId);if(this.dtype==="string")try{return t.map(function(e){return fu(e)})}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t},n.prototype.bytes=function(){return pe(this,void 0,void 0,function(){var t;return fe(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,Cn().read(this.dataId)];case 1:return t=e.sent(),this.dtype==="string"?[2,t]:[2,new Uint8Array(t.buffer)]}})})},n.prototype.dispose=function(){if(this.isDisposed)return;Cn().disposeTensor(this),this.isDisposedInternal=!0},Object.defineProperty(n.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),n.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},n.prototype.print=function(t){return t===void 0&&(t=!1),Ii.print(this,t)},n.prototype.clone=function(){return this.throwIfDisposed(),Ii.clone(this)},n.prototype.toString=function(t){t===void 0&&(t=!1);var e=this.dataSync();return jL(e,this.shape,this.dtype,t)},n.prototype.cast=function(t){return this.throwIfDisposed(),Ii.cast(this,t)},n.prototype.variable=function(t,e,r){return t===void 0&&(t=!0),this.throwIfDisposed(),Cn().makeVariable(this,t,e,r)},n}();Object.defineProperty(K,Symbol.hasInstance,{value:function(n){return!!n&&n.data!=null&&n.dataSync!=null&&n.throwIfDisposed!=null}});var Sa=function(n){qn(t,n);function t(e,r,i,a){var s=n.call(this,e.shape,e.dtype,e.dataId,a)||this;return s.trainable=r,s.name=i,s}return t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and "+("previous value ("+this.dtype+") must match"));if(!pn(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and "+("previous value ("+this.shape+") must match"));Cn().disposeTensor(this),this.dataId=e.dataId,Cn().incRef(this,null)},t.prototype.dispose=function(){Cn().disposeVariable(this),this.isDisposedInternal=!0},t}(K);Object.defineProperty(Sa,Symbol.hasInstance,{value:function(n){return n instanceof K&&n.assign!=null&&n.assign instanceof Function}});(function(n){n.R0="R0",n.R1="R1",n.R2="R2",n.R3="R3",n.R4="R4",n.R5="R5",n.R6="R6"})(A.Rank||(A.Rank={}));var gu;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(gu||(gu={}));var yu;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(yu||(yu={}));var vu;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})(vu||(vu={}));var wu;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(wu||(wu={}));var JL={float32:vu,int32:gu,bool:yu,complex64:wu};function Fs(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error("Can not upcast "+n+" with "+t)}return JL[n][t]}function ZL(n){return Fs(n,"int32")}function ct(n,t){if(n.dtype===t.dtype)return[n,t];var e=Fs(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function Tm(n,t){E(n.dtype===t.dtype,function(){return"The dtypes of the first("+n.dtype+") and"+(" second("+t.dtype+") input must match")})}function QL(n,t){return t.some(function(e){return e.id===n.id})}function bu(n){var t=[],e=new Set;return Nm(n,t,e),t}function Nm(n,t,e){if(n==null)return;if(n instanceof K){t.push(n);return}if(!eS(n))return;var r=n;for(var i in r){var a=r[i];e.has(a)||(e.add(a),Nm(a,t,e))}}function eS(n){return Array.isArray(n)||typeof n=="object"}var tS={__proto__:null,makeTypesMatch:ct,assertTypesMatch:Tm,isTensorInList:QL,getTensorsInContainer:bu};var _m=function(){function n(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return n.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},n}(),iS=function(){function n(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new _m}return n.prototype.ready=function(){return pe(this,void 0,void 0,function(){var t,e,r,i;return fe(this,function(a){switch(a.label){case 0:if(this.pendingBackendInit!=null)return[2,this.pendingBackendInit.then(function(){})];if(this.backendInstance!=null)return[2];t=this.getSortedBackends(),e=0,a.label=1;case 1:return e<t.length?(r=t[e],[4,this.initializeBackend(r).success]):[3,5];case 2:return i=a.sent(),i?[4,this.setBackend(r)]:[3,4];case 3:return a.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(n.prototype,"backend",{get:function(){if(this.pendingBackendInit!=null)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(this.backendInstance==null){var t=this.initializeBackendsAndReturnBest(),e=t.name,r=t.asyncInit;if(r)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),n.prototype.backendNames=function(){return Object.keys(this.registryFactory)},n.prototype.findBackend=function(t){if(!(t in this.registry))if(t in this.registryFactory){var e=this.initializeBackend(t).asyncInit;if(e)return null}else return null;return this.registry[t]},n.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},n.prototype.registerBackend=function(t,e,r){return r===void 0&&(r=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:r},!0)},n.prototype.setBackend=function(t){return pe(this,void 0,void 0,function(){var e,r,i,a,s;return fe(this,function(o){switch(o.label){case 0:if(this.registryFactory[t]==null)throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,this.registry[t]==null?(this.backendInstance=null,e=this.initializeBackend(t),r=e.success,i=e.asyncInit,i?[4,r]:[3,2]):[3,4];case 1:return s=o.sent(),[3,3];case 2:s=r,o.label=3;case 3:if(a=s,!a)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new GL(this.backendInstance),[2,!0]}})})},n.prototype.setupRegisteredKernels=function(){var t=this,e=Os(this.backendName);e.forEach(function(r){r.setupFunc!=null&&r.setupFunc(t.backendInstance)})},n.prototype.disposeRegisteredKernels=function(t){var e=this,r=Os(t);r.forEach(function(i){i.disposeFunc!=null&&i.disposeFunc(e.registry[t])})},n.prototype.initializeBackend=function(t){var e=this,r=this.registryFactory[t];if(r==null)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var i=r.factory();if(i&&!(i instanceof cf)&&typeof i.then=="function"){var a=++this.pendingBackendInitId,s=i.then(function(o){return a<e.pendingBackendInitId?!1:(e.registry[t]=o,e.pendingBackendInit=null,!0)}).catch(function(o){return a<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message)),!1});return this.pendingBackendInit=s,{success:s,asyncInit:!0}}else return this.registry[t]=i,{success:!0,asyncInit:!1}}catch(o){return console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message),{success:!1,asyncInit:!1}}},n.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},n.prototype.getSortedBackends=function(){var t=this;if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,r){return t.registryFactory[r].priority-t.registryFactory[e].priority})},n.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var r=t[e],i=this.initializeBackend(r),a=i.success,s=i.asyncInit;if(s||a)return{name:r,asyncInit:s}}throw new Error("Could not initialize any backends, all backend initializations failed.")},n.prototype.moveData=function(t,e){var r=this.state.tensorInfo.get(e),i=r.backend,a=this.readSync(e);i.disposeData(e),r.backend=t,t.move(e,a,r.shape,r.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},n.prototype.tidy=function(t,e){var r=this,i=null;if(e==null){if(typeof t!="function")throw new Error("Please provide a function to tidy()");e=t}else{if(typeof t!="string"&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof e!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=t}var a;return this.scopedRun(function(){return r.startScope(i)},function(){return r.endScope(a)},function(){return a=e(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a})},n.prototype.scopedRun=function(t,e,r){t();try{var i=r();return e(),i}catch(a){throw e(),a}},n.prototype.nextTensorId=function(){return n.nextTensorId++},n.prototype.nextVariableId=function(){return n.nextVariableId++},n.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),r={x:t},i=function(s){return{x:function(){var o="float32",c={x:s},l={dtype:o};return z.runKernelFunc(function(u){return u.cast(s,o)},c,null,Rs,l)}}},a=[];return this.addTapeNode(this.state.activeScope.name,r,[e],i,a,{}),e},n.prototype.runKernel=function(t,e,r,i,a){var s=null,o=null;return this.runKernelFunc(s,e,o,t,r,i,a)},n.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},n.prototype.checkKernelForMemLeak=function(t,e,r){var i=this.backend.numDataIds(),a=0;r.forEach(function(c){a+=c.dtype==="complex64"?3:1});var s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=i-e-a-s;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak "+("("+o+" data ids) after running '"+t+"'"))},n.prototype.runKernelFunc=function(t,e,r,i,a,s,o){var c=this,l,u=[],h=this.isTapeOn();i==null&&(i=this.state.activeScope!=null?this.state.activeScope.name:"");var d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var f,m=uu(i,this.backendName),g;if(m!=null)f=function(){var b=c.backend.numDataIds();g=m.kernelFunc({inputs:e,attrs:a,backend:c.backend});var L=Array.isArray(g)?g:[g];c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,b,L);var x=L.map(function(C){var O=C.dataId,D=C.shape,F=C.dtype;return c.makeTensorFromDataId(O,D,F)});if(h){var N=c.getTensorsForGradient(i,e,x);if(N==null){o==null&&(o=[]);var I=x.filter(function(C,O){return o[O]});N=(s||[]).slice().concat(I)}u=c.saveTensorsForBackwardMode(N)}return x};else{var y=function(b){if(!h)return;u=b.map(function(L){return c.keep(c.clone(L))})};f=function(){var b=c.backend.numDataIds();g=c.tidy(function(){return t(c.backend,y)});var L=Array.isArray(g)?g:[g];return c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,b,L),L}}var w;return this.scopedRun(function(){return c.state.kernelDepth++},function(){return c.state.kernelDepth--},function(){!c.ENV.getBool("DEBUG")&&!c.state.profiling?l=f():(w=c.profiler.profileKernel(i,e,function(){return f()}),c.ENV.getBool("DEBUG")&&c.profiler.logKernelProfile(w),l=w.outputs)}),h&&this.addTapeNode(i,e,l,r,u,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:i,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(b){return e[b]!=null?e[b].shape:null}),outputShapes:l.map(function(b){return b.shape}),kernelTimeMs:w.timeMs,extraInfo:w.extraInfo}),Array.isArray(g)?l:l[0]},n.prototype.saveTensorsForBackwardMode=function(t){var e=this,r=t.map(function(i){return e.keep(e.clone(i))});return r},n.prototype.getTensorsForGradient=function(t,e,r){var i=hu(t);if(i!=null){var a=i.inputsToSave||[],s=i.outputsToSave||[],o=void 0;i.saveAllInputs?(E(Array.isArray(e),function(){return"saveAllInputs is true, expected inputs to be an array."}),o=Object.keys(e).map(function(l){return e[l]})):o=a.map(function(l){return e[l]});var c=r.filter(function(l,u){return s[u]});return o.concat(c)}return null},n.prototype.makeTensor=function(t,e,r,i){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");r=r||"float32",i=i||this.backend;var a=t;r==="string"&&or(t[0])&&(a=t.map(function(u){return du(u)}));var s=i.write(a,e,r),o=new K(e,r,s,this.nextTensorId());if(this.incRef(o,i),r==="string"){var c=this.state.tensorInfo.get(s),l=yf(a);this.state.numBytes+=l-c.bytes,c.bytes=l}return o},n.prototype.makeTensorFromDataId=function(t,e,r,i){r=r||"float32";var a=new K(e,r,t,this.nextTensorId());return this.incRef(a,i),a},n.prototype.makeVariable=function(t,e,r,i){e===void 0&&(e=!0),r=r||this.nextVariableId().toString(),i!=null&&i!==t.dtype&&(t=t.cast(i));var a=new Sa(t,e,r,this.nextTensorId());if(this.state.registeredVariables[a.name]!=null)throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},n.prototype.incRef=function(t,e){var r=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++,r===0){this.state.numDataBuffers++;var i=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(i=t.size*gf(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:i,refCount:0}),this.state.numBytes+=i}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Sa||this.track(t)},n.prototype.disposeTensor=function(t){if(!this.state.tensorInfo.has(t.dataId))return;this.state.numTensors--,t.dtype==="string"&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId),r=e.refCount;r<=1?(t.dtype!=="complex64"&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--},n.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},n.prototype.disposeVariable=function(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]},n.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},n.prototype.profile=function(t){return pe(this,void 0,void 0,function(){var e,r,i,a,s,o,c,l;return fe(this,function(u){switch(u.label){case 0:return this.state.profiling=!0,e=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],i=this.state.activeProfile,[4,t()];case 1:i.result=u.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(h){return h.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-r,a=0,s=this.state.activeProfile.kernels,u.label=2;case 2:return a<s.length?(o=s[a],c=o,[4,o.kernelTimeMs]):[3,6];case 3:return c.kernelTimeMs=u.sent(),l=o,[4,o.extraInfo];case 4:l.extraInfo=u.sent(),u.label=5;case 5:return a++,[3,2];case 6:return[2,this.state.activeProfile]}})})},n.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&this.state.kernelDepth===0},n.prototype.addTapeNode=function(t,e,r,i,a,s){var o=this,c={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:r,saved:a},l=hu(t);l!=null&&(i=l.gradFunc),i!=null&&(c.gradient=function(u){return u=u.map(function(h,d){if(h==null){var p=r[d],f=Li(p.size,p.dtype);return o.makeTensor(f,p.shape,p.dtype)}return h}),i(u.length>1?u:u[0],a,s)}),this.state.activeTape.push(c)},n.prototype.keep=function(t){return t.kept=!0,t},n.prototype.startTape=function(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++},n.prototype.endTape=function(){this.state.gradientDepth--},n.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},n.prototype.endScope=function(t){for(var e=this,r=bu(t),i=new Set(r.map(function(c){return c.id})),a=0;a<this.state.activeScope.track.length;a++){var s=this.state.activeScope.track[a];!s.kept&&!i.has(s.id)&&s.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],r.forEach(function(c){!c.kept&&c.scopeId===o.id&&e.track(c)})},n.prototype.gradients=function(t,e,r,i){var a=this;if(i===void 0&&(i=!1),E(e.length>0,function(){return"gradients() received an empty list of xs."}),r!=null&&r.dtype!=="float32")throw new Error("dy must have 'float32' dtype, but has '"+r.dtype+"'");var s=this.scopedRun(function(){return a.startTape()},function(){return a.endTape()},function(){return a.tidy("forward",t)});E(s instanceof K,function(){return"The result y returned by f() must be a tensor."});var o=qL(this.state.activeTape,e,s);if(!i&&o.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var c={};c[s.id]=r==null?nS(s.shape):r,YL(c,o,function(u){return a.tidy(u)},rS);var l=e.map(function(u){return c[u.id]});return a.state.gradientDepth===0&&(a.state.activeTape.forEach(function(u){for(var h=0,d=u.saved;h<d.length;h++){var p=d[h];p.dispose()}}),a.state.activeTape=null),{value:s,grads:l}})},n.prototype.customGrad=function(t){var e=this;return E(cr(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var r=[],i=0;i<arguments.length;i++)r[i]=arguments[i];E(r.every(function(o){return o instanceof K}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a,s={};return r.forEach(function(o,c){s[c]=o}),e.runKernelFunc(function(o,c){return a=t.apply(void 0,r.concat([c])),E(a.value instanceof K,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is 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I=p.shape.slice(0,-2).concat([y,w]),C=a?Y(p,[x,m,y]):Y(p,[x,y,m]),O=o?Y(f,[N,w,g]):Y(f,[N,g,w]),D;c!=null&&(D=R(c,"bias","fused matMul"),D=ct(D,p)[0],it(I,D.shape));var F;h!=null&&(F=R(h,"prelu weights","fused matMul"));var k=function(q,H){var J=H[0],$=H[1],ee=H[2],te=H[3],ne=lo(Y(q,ee.shape),ee,u),re,ie;if(!a&&!o?(re=Ue(ne,$,!1,!0),ie=Ue(J,ne,!0,!1)):!a&&o?(re=Ue(ne,$,!1,!1),ie=Ue(ne,J,!0,!1)):a&&!o?(re=Ue($,ne,!1,!0),ie=Ue(J,ne,!1,!1)):(re=Ue($,ne,!0,!0),ie=Ue(ne,J,!0,!0)),c!=null){var oe=uo(te,ne);return[re,ie,oe]}else return[re,ie]},B=function(q){var H=q.fusedBatchMatMul({a:C,b:O,transposeA:a,transposeB:o,bias:D,activation:u,preluActivationWeights:F});return H},V={a:C,b:O,bias:D,preluActivationWeights:F},P={transposeA:a,transposeB:o,activation:u};if(c==null){var G=Dn(function(q,H,J){var $=z.runKernelFunc(B,V,null,su,P);return J([q,H,$]),{value:Y($,I),gradFunc:k}});return G(C,O)}else{var j=Dn(function(q,H,J,$){var ee=z.runKernelFunc(B,V,null,su,P);return 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")+("Input "+p+" (0-based) originates ")+("from layer type "+c.getClassName()+"."));r.inputNames.push(c.name),r.feedInputShapes.push(c.batchInputShape),r.feedInputNames.push(c.name)}for(var f=0,m=r.outputLayers;f<m.length;f++){var c=m[f];r.outputNames.push(c.name)}r.internalInputShapes=r.inputs.map(function(Te){return Te.shape}),r.internalOutputShapes=r.outputs.map(function(Te){return Te.shape});for(var g={},y={},w={},b={},L={},x=[],N=function(Te,dt,mt,Ve,jt,Gn){(Ve==null||jt==null||Gn==null)&&(Ve=Te.sourceLayer,jt=Te.nodeIndex,Gn=Te.tensorIndex);var kt=Ve.inboundNodes[jt];if(mt.indexOf(kt)!==-1)throw new kn("The tensor "+Te.name+' at layer "'+Ve.name+'" is part of a cycle.');if(dt.indexOf(kt)!==-1)return;r.containerNodes.add(t.nodeKey(Ve,jt)),Ve.id in L||(L[Ve.id]=Object.keys(L).length),mt.indexOf(kt)===-1&&mt.push(kt);for(var ma=kt.inboundLayers.length,sr=0;sr<ma;sr++){var wi=kt.inputTensors[sr],fc=kt.inboundLayers[sr],mc=kt.nodeIndices[sr],dL=kt.tensorIndices[sr];N(wi,dt,mt,fc,mc,dL)}for(dt.push(kt);mt.indexOf(kt)>=0;)mt.splice(mt.indexOf(kt),1);x.push(kt)},I=[],C=[],O=0,D=r.outputs;O<D.length;O++){var o=D[O];N(o,I,C)}for(var F=x.slice().reverse(),k=0,B=F;k<B.length;k++){var V=B[k];y[V.id]=V,V.id in g||(g[V.id]=0);var P=g[V.id],G=w[V.outboundLayer.id]==null?0:w[V.outboundLayer.id];P=Math.max(P,G),w[V.outboundLayer.id]=P,b[V.outboundLayer.id]=V.outboundLayer,g[V.id]=P;for(var p=0;p<V.inboundLayers.length;p++){var j=V.inboundLayers[p],l=V.nodeIndices[p],q=j.inboundNodes[l],H=g[q.id]==null?0:g[q.id];g[q.id]=Math.max(P+1,H),y[q.id]=q}}var J={};for(var $ in g){var P=g[$];P in J||(J[P]=[]),J[P].push(y[$])}var ee={};for(var te in w){var P=w[te];P in ee||(ee[P]=[]),ee[P].push(b[te])}var ne=Object.keys(ee).map(function(Te){return parseInt(Te,10)}).sort(mo);r.layers=[];for(var re=0,ie=ne;re<ie.length;re++){var P=ie[re],oe=ee[P];oe.sort(function(dt,mt){var Ve=L[dt.id],jt=L[mt.id];return Ve<jt?-1:Ve>jt?1:0});for(var se=0,me=oe;se<me.length;se++){var c=me[se];c instanceof t&&r.internalContainerRefs.push(c),r.layers.push(c)}}r.layersByDepth=ee,ne=Object.keys(J).map(function(Te){return parseInt(Te,10)}).sort(mo);for(var ye=r.inputs.slice(),we=[],Ee=0,Be=ne;Ee<Be.length;Ee++)for(var P=Be[Ee],We=0,Ye=J[P];We<Ye.length;We++){var V=Ye[We],c=V.outboundLayer;if(c!=null){for(var ze=0,Ie=V.inputTensors;ze<Ie.length;ze++){var o=Ie[ze];if(ye.indexOf(o)===-1)throw new kn("Graph disconnected: cannot obtain value for tensor "+o+(' at layer "'+c.name+'". ')+"The following previous layers were accessed without "+("issue: "+we))}for(var ue=0,Qe=V.outputTensors;ue<Qe.length;ue++){var o=Qe[ue];ye.push(o)}we.push(c.name)}}r.nodesByDepth=J;for(var ft=r.layers.map(function(Te){return Te.name}),He=function(Te){var dt=ft.filter(function(mt){return mt===Te}).length;if(dt!==1)throw new kn('The name "'+Te+'" is used '+dt+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ft))},Ot=0,ht=ft;Ot<ht.length;Ot++){var wt=ht[Ot];He(wt)}return r.outboundNodes=[],r.inboundNodes=[],new Lo({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(Te){return null}),outputMasks:r.outputs.map(function(Te){return null}),inputShapes:r.inputs.map(function(Te){return Te.shape}),outputShapes:r.outputs.map(function(Te){return Te.shape})}),r.built=!0,r._refCount=1,r}return t.prototype.assertNotDisposed=function(){if(this._refCount===0)throw new Error("Container '"+this.name+"' is already disposed.")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(var r=0,i=this.layers;r<i.length;r++){var a=i[r];e.numDisposedVariables+=a.dispose().numDisposedVariables}for(var s=0,o=this.internalContainerRefs;s<o.length;s++){var c=o[s];e.numDisposedVariables+=c.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(e){this.layers.forEach(function(r){r._trainableWeights.forEach(function(i){return i.trainable=e})}),this.trainable_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new M("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e=[],r=0,i=this.layers;r<i.length;r++){var a=i[r];e=e.concat(a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],r=0,i=this.layers;r<i.length;r++){var a=i[r];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,c=this.layers;o<c.length;o++){var a=c[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,r){r===void 0&&(r=!0);for(var i={},a=0,s=0,o=this.layers;s<o.length;s++)for(var c=o[s],l=0,u=c.weights;l<u.length;l++){var h=u[l];if(i[h.originalName]!=null)throw new M("Duplicate weight name: "+h.originalName);i[h.originalName]=h,a++}var d=[];for(var p in e){var f=p;if(i[p]==null){var m=p.split("/"),g=m.slice(0,-2).concat([m[m.length-1]]);f=g.join("/")}if(i[f]!=null)d.push([i[f],e[p]]);else if(r)throw new M("Provided weight data has no target variable: "+p);delete i[f]}if(r){var y=[];for(var w in i)y.push(w);if(y.length>0)throw new M(y.length+" of "+a+" weights are not set: "+(""+y))}Mh(d)},t.prototype.updatedConfig=function(){var e=this.getConfig(),r={};return r.className=this.getClassName(),r.config=e,r.kerasVersion="tfjs-layers "+$h,r.backend="TensorFlow.js",r},t.prototype.toJSON=function(e,r){r===void 0&&(r=!0);var i=jh(this.updatedConfig());return r?JSON.stringify(i):i},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=nt(e);for(var a=new Yi,s=0;s<i.inputs.length;++s)a.add(i.inputs[s],e[s]);return Ka(i.outputs,a,r)})},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){e=nt(e);var a;return r==null?a=ei(null,e.length):a=nt(r),i.runInternalGraph(e,a)[1]})},t.prototype.computeOutputShape=function(e){var r=bo(e);if(r.length!==this.inputLayers.length)throw new M("Invalid inputShape argument "+e+": "+("model has "+this.inputLayers.length+" tensor inputs."));for(var i={},a=0;a<r.length;a++){var s=this.inputLayers[a],o=r[a],c=s.name+"_0_0";i[c]=o}var l=Object.keys(this.nodesByDepth).map(function(B){return parseInt(B,10)}).sort(mo);if(l.length>1)for(var u=0,h=l;u<h.length;u++)for(var d=h[u],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){var g=m[f],s=g.outboundLayer;if(this.inputLayers.map(function(V){return V.id}).indexOf(s.id)!==-1)continue;for(var y=[],w=0;w<g.inboundLayers.length;w++){var b=g.inboundLayers[w],L=g.nodeIndices[w],x=g.tensorIndices[w],c=b.name+"_"+L+"_"+x,N=i[c];y.push(N)}for(var I=s.computeOutputShape(Vt(y)),C=bo(I),O=s.inboundNodes.indexOf(g),w=0;w<C.length;w++){var c=s.name+"_"+O+"_"+w;i[c]=C[w]}}for(var D=[],F=[],a=0;a<this.outputLayers.length;a++){var s=this.outputLayers[a],O=this.outputLayersNodeIndices[a],x=this.outputLayersTensorIndices[a],c=s.name+"_"+O+"_"+x;F.push(c)}for(var a=0;a<F.length;a++){var k=F[a];Fn(k in i),D.push(i[k])}return Vt(D)},t.prototype.runInternalGraph=function(e,r){r==null&&(r=ei(null,e.length));for(var i={},a=0;a<this.inputs.length;++a){var s=this.inputs[a],o=e[a],c=r[a];i[s.id]=[o,c]}for(var l=Object.keys(this.nodesByDepth).map(function(ee){return parseInt(ee,10)}).sort(mo),u=0,h=l;u<h.length;u++)for(var d=h[u],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){for(var g=m[f],y=g.outboundLayer,w=g.inputTensors,b=g.outputTensors,L=new Array,x=0,N=w;x<N.length;x++){var s=N[x];s.id in i&&L.push(i[s.id])}if(L.length===w.length){var I={},C=void 0,O=void 0,D=void 0,F=void 0;if(g.callArgs!=null&&(I=g.callArgs),L.length===1){var k=L[0],B=k[0],V=k[1];I.mask==null&&(I.mask=V),D=nt(y.call(B,I)),F=nt(y.computeMask(B,V)),C=[B],O=[V]}else C=L.map(function(ee){return ee[0]}),O=L.map(function(ee){return ee[1]}),I.mask==null&&(I.mask=O),D=nt(y.call(C,I)),F=nt(y.computeMask(C,O));if(y.activityRegularizer)throw new Re("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var a=0;a<b.length;++a){var s=b[a],o=D[a],c=F[a];i[s.id]=[o,c]}}}for(var P=[],G=[],j=[],q=0,H=this.outputs;q<H.length;q++){var s=H[q];Fn(s.id in i,"Could not compute output "+s.name+" : "+s.id);var J=i[s.id],$=J[0],c=J[1];j.push($.shape),P.push($),G.push(c)}return[P,G,j]},t.prototype.buildNodeConversionMap=function(e){for(var r={},i,a=0,s=this.layers;a<s.length;a++){var o=s[a];i=o instanceof t?1:0;for(var c=0;c<o.inboundNodes.length;c++){var l=t.nodeKey(o,c);this.containerNodes.has(l)&&(r[l]=i,i+=1)}}return r},t.prototype.getLayer=function(e,r){if(r!=null){if(this.layers.length<=r)throw new M("Was asked to retrieve layer at index "+r+", but model only "+("has "+this.layers.length+" layer(s)."));return this.layers[r]}else if(e==null)throw new M("Provide either a layer name or layer index");for(var i=0,a=this.layers;i<a.length;i++){var s=a[i];if(s.name===e)return s}throw new M("No such layer: "+e)},t.prototype.calculateLosses=function(){var e=this;return v.tidy(function(){for(var r=[],i=0,a=e.layers;i<a.length;i++)for(var s=a[i],o=0;o<s.inboundNodes.length;++o){var c=t.nodeKey(s,o);e.containerNodes.has(c)&&r.push.apply(r,s.calculateLosses())}return r})},t.prototype.getConfig=function(){for(var e={name:this.name},r=this.buildNodeConversionMap(this.layers),i=[],a=0,s=this.layers;a<s.length;a++){for(var o=s[a],c=o.getClassName(),l=o.getConfig(),u=[],h=0;h<o.inboundNodes.length;h++){var d=o.inboundNodes[h],p=t.nodeKey(o,h),f={};if(this.containerNodes.has(p)){if(d.callArgs)try{JSON.stringify(d.callArgs),f=d.callArgs}catch(O){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+(d.callArgs+". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(d.inboundLayers.length>0){for(var m=[],g=0;g<d.inboundLayers.length;g++){var y=d.inboundLayers[g],w=d.nodeIndices[g],b=d.tensorIndices[g],L=t.nodeKey(y,w),x=r[L];x==null&&(x=0),m.push([y.name,x,b,f])}u.push(m)}}}var N={};N.name=o.name,N.className=c,N.config=l,N.inboundNodes=u,i.push(N)}e.layers=i;for(var I=[],g=0;g<this.inputLayers.length;g++){var o=this.inputLayers[g],w=this.inputLayersNodeIndices[g],p=t.nodeKey(o,w);if(!this.containerNodes.has(p))continue;var x=r[p];x==null&&(x=0);var b=this.inputLayersTensorIndices[g];I.push([o.name,x,b])}e.inputLayers=I;for(var C=[],g=0;g<this.outputLayers.length;g++){var o=this.outputLayers[g],w=this.outputLayersNodeIndices[g],p=t.nodeKey(o,w);if(!this.containerNodes.has(p))continue;var x=r[p];x==null&&(x=0);var b=this.outputLayersTensorIndices[g];C.push([o.name,x,b])}return e.outputLayers=C,e},t.fromConfig=function(e,r,i,a){a===void 0&&(a=!1);var s={},o={};function c(H,J){H.name in o?o[H.name].push(J):o[H.name]=[J]}function l(H,J){for(var $=[],ee,te=0,ne=J;te<ne.length;te++){var re=ne[te],ie=re[0],oe=re[1],se=re[2];if(ee=re[3]==null?{}:re[3],!(ie in s)){c(H,J);return}var me=s[ie];if(me.inboundNodes.length<=oe){c(H,J);return}var ye=me.inboundNodes[oe];$.push(ye.outputTensors[se])}$.length>0&&H.apply(Vt($),ee)}function u(H){var J=H.name,$=Ln(H,r.customObjects!=null?r.customObjects:{});$.setFastWeightInitDuringBuild(a),s[J]=$;var ee=H.inboundNodes;ee.forEach(function(te){if(!(te instanceof Array))throw new M("Corrupted configuration, expected array for nodeData: "+te);c($,te)})}for(var h=r.name,d=r.layers,p=0,f=d;p<f.length;p++){var m=f[p];u(m)}for(;!EO(o);)for(var g=0,y=d;g<y.length;g++){var m=y[g],w=s[m.name];if(w.name in o){var b=o[w.name];delete o[w.name];for(var L=0,x=b;L<x.length;L++){var N=x[L];l(w,N)}}}for(var I=[],C=[],O=r.inputLayers,D=0,F=O;D<F.length;D++){var m=F[D],k=m[0],B=m[1],V=m[2];Fn(k in s);var w=s[k],P=w.inboundNodes[B].outputTensors;I.push(P[V])}for(var G=r.outputLayers,j=0,q=G;j<q.length;j++){var m=q[j],k=m[0],B=m[1],V=m[2];Fn(k in s);var w=s[k],P=w.inboundNodes[B].outputTensors;C.push(P[V])}return new e({inputs:I,outputs:C,name:h})},Object.defineProperty(t.prototype,"stateful",{get:function(){if(this._stateful)throw new M("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e=0,r=this.layers;e<r.length;e++){var i=r[e];if(i.stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;v.tidy(function(){e.layers.forEach(function(r){r.stateful&&r.resetStates()})})},t}(Fe);function r7(n,t,e){var r=t.length;if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(a){return null});if(r===1)return Array.isArray(n)&&n.length===1?n:typeof n=="object"&&t[0]in n?[n[t[0]]]:[n];if(Array.isArray(n)){if(n.length!==r)throw new Error("Provided "+e+" is an array of "+n.length+" "+("element(s), but the model has "+r+" outputs. ")+"Make sure a set of weights is provided for each model output.");return n}else if(typeof n=="object"&&Object.keys(n).length>0&&typeof n[Object.keys(n)[0]]=="object"){var i=[];return t.forEach(function(a){a in n?i.push(n[a]):i.push(null)}),i}else throw new Error("The model has multiple ("+r+") outputs, "+("so "+e+" must be either an array with ")+(r+" elements or an object with "+t+" keys. ")+("Provided "+e+" not understood: "+JSON.stringify(n)))}function $y(n,t){return r7(n,t,"classWeight")}function Xy(n,t,e,r){return Ae(this,void 0,void 0,function(){var i,a,s,o,c;return xe(this,function(l){switch(l.label){case 0:if(t!=null||r!=null)throw new Error("Support sampleWeight is not implemented yet");return e!=null?(i=v.tidy(function(){if(n.shape.length===1)return n.clone();if(n.shape.length===2)if(n.shape[1]>1){var u=1;return n.argMax(u)}else{if(n.shape[1]===1)return n.reshape([n.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+n.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}else throw new Error("Unexpected rank of target (y) tensor ("+n.rank+") during handling of class weights. The rank is expected to be 1 or 2.")}),o=(s=Array).from,[4,i.data()]):[3,2];case 1:return a=o.apply(s,[l.sent()]),v.dispose(i),c=[],a.forEach(function(u){if(e[u]==null)throw new Error("classWeight must contain all classes in the training data. "+("The class "+u+" exists in the data but not in ")+"classWeight");c.push(e[u])}),[2,v.tensor1d(c,"float32")];case 2:return[2,null]}})})}function i7(n,t){return v.mul(n,t)}var a7=32;function Zy(n,t){var e,r,i=t;e=i.xs,r=i.ys,v.util.assert(e!=null&&r!=null,function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates "+(""+t)});var a=Jy("input",n.inputNames,e),s=Jy("output",n.outputNames,r),o=a[0].shape[0];v.util.assert(a.length===n.inputs.length,function(){return"LayersModel has "+n.inputs.length+" inputs, but the dataset "+("provides "+a.length+" inputs. (Expected input keys: ")+(JSON.stringify(n.inputNames)+")")}),v.util.assert(s.length===n.outputs.length,function(){return"LayersModel has "+n.outputs.length+" outputs, but the dataset "+("provides "+s.length+" outputs. (Expected output keys: ")+(JSON.stringify(n.outputNames)+")")});for(var c=function(d){v.util.assert(a[d].shape[0]===o,function(){return"Batch size mismatch: input "+(n.inputNames[d]+" has "+a[d].shape[0]+"; ")+("expected "+o+" based on input "+n.inputNames[0]+".")})},l=0;l<a.length;l++)c(l);for(var u=function(d){v.util.assert(s[d].shape[0]===o,function(){return"Batch size mismatch: output "+(n.outputNames[d]+" has "+s[d].shape[0]+"; ")+("expected "+o+" based on input "+n.inputNames[0]+".")})},h=0;h<s.length;h++)u(h);return{xs:a,ys:s}}function Jy(n,t,e){if(e instanceof v.Tensor)return[e];if(Array.isArray(e))return v.util.assert(e.length===t.length,function(){return"Received an array of "+e.length+" Tensors, but expected "+t.length+" to match the "+n+" keys "+t+"."}),e;for(var r=[],i=0,a=t;i<a.length;i++){var s=a[i];if(e[s]==null)throw new M("The feature data generated by the dataset lacks the required "+(n+" key '"+s+"'."));r.push(e[s])}return r}function s7(n){if(n.length===3)throw new Re("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}function c7(n,t,e){return Ae(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,L,x,N,I,C,O,D,F,k,B,V,P,G,k,j,q,H,J,k;return xe(this,function($){switch($.label){case 0:if(r=e.batchesPerEpoch!=null,v.util.assert(n.optimizer!=null,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),v.util.assert(e!=null,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),v.util.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive "+("integer, but got "+e.epochs)}),v.util.assert(!r||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+("positive integer if specified, but got "+e.batchesPerEpoch)}),v.util.assert(e.validationSplit==null,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,$.label=1;case 1:return $.trys.push([1,,26,27]),i=e.validationData!=null,a=void 0,s=void 0,i&&(Qy(e.validationData)?v.util.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+("but got "+e.validationBatches)}):(o=s7(e.validationData),a=o.xs,s=o.ys)),c=n.makeTrainFunction(),l=n.getDedupedMetricsNames(),u=void 0,i?u=l.slice().concat(l.map(function(ee){return"val_"+ee})):u=l.slice(),h=Wy(e.callbacks,e.yieldEvery),d=e.verbose==null?1:e.verbose,p=By(h,d,e.epochs,null,null,o7(t,e),null,i,u),f=p.callbackList,m=p.history,f.setModel(n),n.history=m,[4,f.onTrainBegin()];case 2:return $.sent(),n.stopTraining_=!1,g=e.initialEpoch==null?0:e.initialEpoch,[4,t.iterator()];case 3:y=$.sent(),$.label=4;case 4:return g<e.epochs?(w={},[4,f.onEpochBegin(g)]):[3,23];case 5:return $.sent(),b=0,L=0,r?[3,7]:[4,t.iterator()];case 6:y=$.sent(),$.label=7;case 7:return(r?b<e.batchesPerEpoch:!0)?[4,y.next()]:[3,21];case 8:return x=$.sent(),r&&x.done?(console.warn("You provided `batchesPerEpoch` as "+(e.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(b+" batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+(e.batchesPerEpoch*e.epochs+" batches). ")+"You may need to use the repeat() function when building your dataset."),[3,21]):x.value!=null?(N=Zy(n,x.value),I=N.xs,C=N.ys,O={},O.batch=L,O.size=I[0].shape[0],[4,f.onBatchBegin(L,O)]):[3,15];case 9:if($.sent(),D=[],!(e.classWeight!=null))return[3,13];F=$y(e.classWeight,n.outputNames),k=0,$.label=10;case 10:return k<F.length?(V=(B=D).push,[4,Xy(C[k],null,F[k])]):[3,13];case 11:V.apply(B,[$.sent()]),$.label=12;case 12:return++k,[3,10];case 13:for(P=I.concat(C).concat(D),G=c(P),v.dispose(P),k=0;k<l.length;++k)j=l[k],q=G[k],O[j]=q,v.keep(q);return[4,f.onBatchEnd(L,O)];case 14:$.sent(),Oy(O),L++,b++,$.label=15;case 15:return(r?b>=e.batchesPerEpoch:x.done)?i?(H=void 0,Qy(e.validationData)?(J=nt,[4,n.evaluateDataset(e.validationData,{batches:e.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return H=J.apply(void 0,[$.sent()]),[3,18];case 17:H=nt(n.evaluate(a,s,{batchSize:e.validationBatchSize==null?a7:e.validationBatchSize,verbose:0})),$.label=18;case 18:for(k=0;k<n.metricsNames.length;++k)w["val_"+n.metricsNames[k]]=H[k];$.label=19;case 19:return[3,21];case 20:return n.stopTraining_?[3,21]:[3,7];case 21:return[4,f.onEpochEnd(g,w)];case 22:return $.sent(),g++,n.stopTraining_?[3,23]:[3,4];case 23:return[4,f.onTrainEnd()];case 24:return $.sent(),[4,n.history.syncData()];case 25:return $.sent(),[2,n.history];case 26:return n.isTraining=!1,[7];case 27:return[2]}})})}function o7(n,t){var e=null;return t.batchesPerEpoch!=null?e=t.batchesPerEpoch:Number.isFinite(n.size)&&(e=n.size),e}function Qy(n){return typeof n.iterator=="function"}function l7(n){return typeof n.next=="function"}function u7(n,t,e){return Ae(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p;return xe(this,function(f){switch(f.label){case 0:if(e=e||{},r=e.batches!=null,i=n.testFunction,a=[],e.verbose>0)throw new Re("Verbose mode is not implemented yet.");return v.util.assert(!r||e.batches>0&&Number.isInteger(e.batches),function(){return"Test loop expects `batches` to be a positive integer, but "+("received "+JSON.stringify(e.batches))}),l7(t)?(o=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:o=f.sent(),f.label=3;case 3:s=o,c=0,l=0,u=function(){var m;return xe(this,function(g){switch(g.label){case 0:return[4,s.next()];case 1:return m=g.sent(),a=v.tidy(function(){if(m.value){var y=Zy(n,m.value),w=y.xs,b=y.ys,L=w.concat(b),x=v.tidy(function(){return i(L)});if(v.dispose(L),l===0)for(var N=0;N<x.length;++N)a.push(v.scalar(0));for(var I=L[0].shape[0],C=function(O){var D=x[O],F=a[O];a[O]=v.tidy(function(){return v.add(a[O],v.mul(I,D))}),l>0&&v.dispose(F)},N=0;N<x.length;++N)C(N);v.dispose(x),c+=I,++l}return a}),m.done?(r&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+e.batches+" batches). ")+"You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return(r?l<e.batches:!0)?[5,u()]:[3,6];case 5:return h=f.sent(),h==="break"?[3,6]:[3,4];case 6:for(d=0;d<a.length;++d)p=a[d],a[d]=v.div(a[d],c),v.dispose(p);return[2,Vt(a)]}})})}function Jh(n){v.util.assert(n>0&&Number.isInteger(n),function(){return"batchSize is required to be a positive integer, but got "+n})}function ja(n,t,e){return n==null?[null]:Array.isArray(n)?n.map(function(r){return ri(r,t,e-t)}):ri(n,t,e-t)}function Zh(n,t){return v.tidy(function(){return n==null?null:Array.isArray(n)?n.map(function(e){return Zh(e,t)}):my(n,t.dtype==="int32"?t:t.toInt())})}function Qh(n,t){for(var e=[],r=0,i=null;r<n;)i=r+t,i>=n&&(i=n),e.push([r,i]),r=i;return e}function h7(n,t,e,r,i,a,s,o,c,l,u,h,d,p,f){return Ae(this,void 0,void 0,function(){var m,g,y,w,b,L,x,N,I;return xe(this,function(C){switch(C.label){case 0:if(i==null&&(i=32),a==null&&(a=1),u==null&&(u=!0),d==null&&(d=0),m=!1,c!=null&&l!=null&&(m=!0),f!=null&&(m=!0,p==null))throw new M("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return g=n.checkNumSamples(e,i,p,"steps_per_epoch"),g!=null&&(y=bn(0,g)),s==null&&(s=1),w=By(o,s,a,d,g,p,i,m,h),b=w.callbackList,L=w.history,b.setModel(n),n.history=L,[4,b.onTrainBegin()];case 1:C.sent(),n.stopTraining_=!1,x=function(O){var D,F,k,B,V,P;return xe(this,function(G){switch(G.label){case 0:return[4,b.onEpochBegin(O)];case 1:if(G.sent(),D={},!(p!=null))return[3,2];throw new Re("stepsPerEpoch mode is not implemented yet.");case 2:if(u==="batch")throw new Re("batch shuffling is not implemneted yet");u&&v.util.shuffle(y),F=v.tensor1d(y),k=Qh(g,i),B=function(j){var q;return xe(this,function(H){switch(H.label){case 0:return q={},[4,b.onBatchBegin(j,q)];case 1:return H.sent(),v.tidy(function(){var J=k[j][0],$=k[j][1],ee=ri(F,J,$-J);q.batch=j,q.size=$-J;for(var te=Zh(e,ee),ne=t(te),re=0;re<r.length;++re){var ie=r[re],oe=ne[re];q[ie]=oe,v.keep(oe)}if(j===k.length-1&&m)for(var se=n.testLoop(c,l,i),re=0;re<r.length;++re){var ie=r[re],oe=se[re];v.keep(oe),D["val_"+ie]=oe}}),[4,b.onBatchEnd(j,q)];case 2:return H.sent(),Oy(q),n.stopTraining_?[2,"break"]:[2]}})},V=0,G.label=3;case 3:return V<k.length?[5,B(V)]:[3,6];case 4:if(P=G.sent(),P==="break")return[3,6];G.label=5;case 5:return++V,[3,3];case 6:F.dispose(),G.label=7;case 7:return[4,b.onEpochEnd(O,D)];case 8:return G.sent(),n.stopTraining_?[2,"break"]:[2]}})},N=d,C.label=2;case 2:return N<a?[5,x(N)]:[3,5];case 3:if(I=C.sent(),I==="break")return[3,5];C.label=4;case 4:return++N,[3,2];case 5:return[4,b.onTrainEnd()];case 6:return C.sent(),[4,n.history.syncData()];case 7:return C.sent(),[2,n.history]}})})}function d7(n,t,e,r){return r===void 0&&(r={}),Ae(this,void 0,void 0,function(){var i,a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,L,x,N,I,C,O,D;return xe(this,function(F){switch(F.label){case 0:if(n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,F.label=1;case 1:return F.trys.push([1,,7,8]),h=r.batchSize==null?32:r.batchSize,Jh(h),d=!1,[4,n.standardizeUserData(t,e,r.sampleWeight,r.classWeight,d,h)];case 2:if(p=F.sent(),i=p[0],a=p[1],u=p[2],f=!1,m=void 0,!(r.validationData!=null&&r.validationData.length>0))return[3,4];if(f=!0,r.validationData.length===2)s=r.validationData[0],o=r.validationData[1];else throw r.validationData.length===3?new Re("validationData including sample weights is not supported yet."):new M("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+(r.validationData+" is invalid."));return g=!0,[4,n.standardizeUserData(s,o,null,null,g,h)];case 3:return y=F.sent(),c=y[0],l=y[1],m=c.concat(l),[3,5];case 4:r.validationSplit!=null&&r.validationSplit>0&&r.validationSplit<1?(f=!0,w=Math.floor(i[0].shape[0]*(1-r.validationSplit)),b=i[0].shape[0],c=ja(i,w,b),i=ja(i,0,w),l=ja(a,w,b),a=ja(a,0,w),m=c.concat(l)):r.validationSteps!=null&&(f=!0),F.label=5;case 5:return L=i.concat(a).concat(u),n.checkTrainableWeightsConsistency(),x=n.makeTrainFunction(),N=n.getDedupedMetricsNames(),I=void 0,C=void 0,f?(n.makeTestFunction(),I=n.testFunction,C=N.slice().concat(N.map(function(k){return"val_"+k}))):(I=null,m=[],C=N.slice()),O=Wy(r.callbacks,r.yieldEvery),[4,h7(n,x,L,N,h,r.epochs,r.verbose,O,I,m,r.shuffle,C,r.initialEpoch,null,null)];case 6:return D=F.sent(),[2,D];case 7:return n.isTraining=!1,ai(i,t),ai(a,e),ai(c,s),ai(l,o),u!=null&&v.dispose(u),[7];case 8:return[2]}})})}function ev(n){var t=[];n instanceof v.Tensor&&(n=[n]);for(var e=0;e<n.length;++e){var r=n[e];if(r.rank===1)t.push(Ma(r,1));else{if(r.rank===0)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function ai(n,t){if(n==null)return;var e=[];if(t instanceof v.Tensor)e.push(t.id);else if(Array.isArray(t))t.forEach(function(c){return e.push(c.id)});else if(t!=null)for(var r in t){var i=t[r];e.push(i.id)}var a=[];if(n instanceof v.Tensor)e.indexOf(n.id)===-1&&a.push(n);else if(Array.isArray(n))n.forEach(function(c){e.indexOf(c.id)===-1&&a.push(c)});else if(n!=null)for(var s in n){var o=n[s];e.indexOf(o.id)===-1&&a.push(o)}a.forEach(function(c){c.isDisposed||c.dispose()})}function p7(n){return n instanceof v.Tensor}function ed(n){return Array.isArray(n)}function tv(n){return!p7(n)&&!ed(n)}function nv(n,t,e,r,i){if(r===void 0&&(r=!0),i===void 0&&(i=""),t==null||t.length===0){if(n!=null){var a=!1;if(ed(n)&&n.length>0)a=!0;else if(tv(n)){for(var s in n)if(n.hasOwnProperty(s)){a=!0;break}}else a=!0;if(a)throw new M("Error when checking model "+i+" expected no data, "+("but got "+n))}return[]}if(n==null)return t.map(function(g){return null});var o;if(tv(n)){n=n,o=[];for(var c=0,l=t;c<l.length;c++){var u=l[c];if(n[u]==null)throw new M('No data provided for "'+u+'". Need data for each key in: '+(""+t));o.push(n[u])}}else if(ed(n)){if(n=n,n.length!==t.length)throw new M("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the "+("model expected. Expected to see "+t.length+" Tensor(s), but ")+("instead got the following list of Tensor(s): "+n));o=n}else{if(n=n,t.length>1)throw new M("The model "+i+" expects "+t.length+" Tensor(s), "+("but only received one Tensor. Found: Tensor with shape "+n.shape));o=[n]}if(o=ev(o),e!=null)for(var h=0;h<t.length;++h){if(e[h]==null)continue;var d=o[h];if(d.shape.length!==e[h].length)throw new M("Error when checking "+i+": expected "+t[h]+" "+("to have "+e[h].length+" dimension(s). but got array with ")+("shape "+d.shape));for(var p=0;p<e[h].length;++p){if(p===0&&!r)continue;var f=d.shape[p],m=e[h][p];if(m!=null&&m>=0&&f!==m)throw new M("Error when checking "+i+": expected "+t[h]+" "+("to have shape ["+e[h]+"], but got array with shape ")+("["+d.shape+"]."))}}return o}function f7(n,t,e){var r=wr(n.map(function(a){return a.shape[0]}));r.sort();var i=wr(t.map(function(a){return a.shape[0]}));if(i.sort(),r.length>1)throw new M("All input Tensors (x) should have the same number of samples. Got array shapes: "+(""+JSON.stringify(n.map(function(a){return a.shape}))));if(i.length>1)throw new M("All target Tensors (y) should have the same number of samples. Got array shapes: "+(""+JSON.stringify(t.map(function(a){return a.shape}))));if(r.length>0&&i.length>0&&!v.util.arraysEqual(r,i))throw new M("Input Tensors should have the same number of samples as target "+("Tensors. Found "+r[0]+" input sample(s) and "+i[0]+" target ")+"sample(s).")}function m7(n,t,e){for(var r=[ii,To,qa],i=0;i<n.length;++i){var a=n[i],s=t[i],o=e[i];if(s==null)continue;if(s===qa&&a.shape[a.shape.length-1]===1)throw new M("You are passing a target array of shape "+a.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(r.indexOf(s)!==-1)for(var c=a.shape.slice(1),l=o.slice(1),u=0;u<c.length;++u){var h=c[u],d=l[u];if(d!=null&&h!==d)throw new M("A target Tensor with shape "+a.shape+" was passed for an "+("output of shape "+o+", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}function rv(n,t,e,r,i){r===void 0&&(r=!0),i===void 0&&(i="");var a;if(Array.isArray(n)){if(n.length!==t.length)throw new M("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the "+("the model expected. Expected to see "+t.length+" Tensor(s),")+(" but instead got "+n.length+" Tensors(s)."));a=n}else{if(t.length>1)throw new M("The model expects "+t.length+" "+i+" Tensors, but only received one Tensor. Found: array with shape "+(JSON.stringify(n.shape)+"."));a=[n]}if(e!=null)for(var s=0;s<t.length;++s){if(e[s]==null)continue;var o=a[s];if(o.shape.length!==e[s].length)throw new M("Error when checking "+i+": expected "+t[s]+" "+("to have "+e[s].length+" dimension(s), but got array with ")+("shape "+JSON.stringify(o.shape)));for(var c=0;c<e[s].length;++c){if(c===0&&!r)continue;var l=o.shape[c],u=e[s][c];if(u!=null&&u!==l)throw new M("Error when checking "+i+": expected "+(t[s]+" to have shape "+JSON.stringify(e[s])+" but ")+("got array with shape "+JSON.stringify(o.shape)+"."))}}}function g7(n,t){if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(c){return[]});var e;if(typeof n=="string"||typeof n=="function")e=[n];else if(Array.isArray(n)||typeof n=="object")e=n;else throw new TypeError("Type of metrics argument not understood. Expected an string,"+("function, Array, or Object, found: "+n));if(Array.isArray(e))return t.map(function(c){return e});for(var r=[],i=0,a=t;i<a.length;i++){var s=a[i],o=e.hasOwnProperty(s)?e[s]:[];Array.isArray(o)||(o=[o]),r.push(o)}return r}var y7="layers-model",Sr=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.isTraining=!1,r}return t.prototype.summary=function(e,r,i){if(i===void 0&&(i=console.log),!this.built)throw new M("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");JE(this,e,r,i)},t.prototype.compile=function(e){var r=this;if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=YE(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof v.Optimizer))throw new M("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var i=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(var a in e.loss)if(this.outputNames.indexOf(a)===-1)throw new M('Unknown entry in loss dictionary: "'+a+'". '+("Only expected the following keys: "+this.outputNames));for(var s=0,o=this.outputNames;s<o.length;s++){var c=o[s];e.loss[c]==null&&console.warn('Output "'+c+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+c+" during training")),i.push(Vh(e.loss[c]))}}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new M("When passing an Array as loss, it should have one entry per "+("model output. The model has "+this.outputs.length+" output(s), ")+("but you passed loss="+e.loss+"."));var l=e.loss;i=l.map(function(y){return Vh(y)})}else{var u=Vh(e.loss);this.outputs.forEach(function(y){i.push(u)})}this.lossFunctions=i,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var h=0;h<this.outputs.length;++h){var d=this.internalOutputShapes[h],p=this.outputNames[h];this.feedOutputNames.push(p),this.feedOutputShapes.push(d),this.feedLossFns.push(this.lossFunctions[h])}var f=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],ni("loss",function(){for(var y=0;y<r.outputs.length;++y){if(f.indexOf(y)!==-1)continue;var w=r.lossFunctions[y];r.outputs.length>1&&(r.metricsTensors.push([w,y]),r.metricsNames.push(r.outputNames[y]+"_loss"))}});var m=g7(e.metrics,this.outputNames),g=function(y,w,b){r.outputNames.length>1&&(w=r.outputNames[y]+"_"+w),r.metricsNames.push(w),r.metricsTensors.push([b,y])};ni("metric",function(){for(var y=function(b){if(f.indexOf(b)!==-1)return"continue";var L=m[b],x=function(N){for(var I="",C,O,D,F=function(P){if(typeof P=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(P)!==-1){var G=r.internalOutputShapes[b];G[G.length-1]===1||r.lossFunctions[b]===To?["accuracy","acc"].indexOf(P)!==-1?O=Gh:["crossentropy","ce"].indexOf(P)!==-1&&(O=My):r.lossFunctions[b]===Ao?["accuracy","acc"].indexOf(P)!==-1?O=Hy:["crossentropy","ce"].indexOf(P)!==-1&&(O=Vy):["accuracy","acc"].indexOf(P)!==-1?O=qh:["crossentropy","ce"].indexOf(P)!==-1&&(O=Yh);var j=void 0;["accuracy","acc"].indexOf(P)!==-1?j="acc":["crossentropy","ce"].indexOf(P)!==-1&&(j="ce"),D=O,C=I+j}else{var q=qE(P);D=q,C=I+Co(P)}var H;ni(C,function(){H=D}),g(b,C,H)},k=0,B=N;k<B.length;k++){var V=B[k];F(V)}};x(L)},w=0;w<r.outputs.length;++w)y(w)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){if(this.collectedTrainableWeights==null)return;this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,r,i){i===void 0&&(i={});var a=i.batchSize==null?32:i.batchSize;Jh(a);var s=!0,o=this.standardizeUserDataXY(e,r,s,a);try{var c=o[0].concat(o[1]);this.makeTestFunction();var l=this.testFunction,u=this.testLoop(l,c,a,i.verbose,i.steps);return Vt(u)}finally{ai(o[0],e),ai(o[1],r)}},t.prototype.evaluateDataset=function(e,r){return Ae(this,void 0,void 0,function(){return xe(this,function(i){return this.makeTestFunction(),[2,u7(this,e,r)]})})},t.prototype.checkNumSamples=function(e,r,i,a){a===void 0&&(a="steps");var s;if(i!=null){if(s=null,r!=null)throw new M("If "+a+" is set, batchSize must be null or undefined."+("Got batchSize = "+r))}else if(e!=null)Array.isArray(e)?s=e[0].shape[0]:s=e.shape[0];else throw new M("Either the input data should have a defined shape, or "+(a+" shoud be specified."));return s},t.prototype.execute=function(e,r){if(Array.isArray(r)&&r.length===0)throw new M("`outputs` is an empty Array, which is not allowed.");var i=Array.isArray(r),a=i?r:[r],s=this.retrieveSymbolicTensors(a),o=new Yi;if(e instanceof v.Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new M("The number of inputs provided ("+e.length+") does not match the number of inputs of this model "+("("+this.inputs.length+")."));for(var c=0;c<this.inputs.length;++c)o.add(this.inputs[c],e[c])}else for(var l=0,u=this.inputs;l<u.length;l++){var h=u[l],d=e[h.name];if(d==null)throw new M("No value is provided for the model's input "+h.name);o.add(h,d)}var p=Ka(s,o);return i?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var r=ei(null,e.length),i=e.length,a=0,s=this.layers;a<s.length;a++){for(var o=s[a],c=Array.isArray(o.output)?o.output:[o.output],l=c.map(function(p){return p.name}),u=0;u<e.length;++u){var h=l.indexOf(e[u]);if(h!==-1&&(r[u]=c[h],i--),i===0)break}if(i===0)break}if(i>0){var d=[];throw r.forEach(function(p,f){p==null&&d.push(e[f])}),new M("Cannot find SymbolicTensors for output name(s): "+(""+JSON.stringify(d)))}return r},t.prototype.predictLoop=function(e,r,i){var a=this;return r===void 0&&(r=32),i===void 0&&(i=!1),v.tidy(function(){var s=a.checkNumSamples(e);if(i)throw new Re("Verbose predictLoop() is not implemented yet.");for(var o=Qh(s,r),c=a.outputs.map(function(h){return[]}),l=function(h){var d=v.tidy(function(){var p=o[h][0],f=o[h][1],m=ja(e,p,f),g=[];if(Array.isArray(m))for(var y=0;y<m.length;++y)g.push({key:a.inputs[y],value:m[y]});else g.push({key:a.inputs[0],value:m});var w=new Yi(g);return Ka(a.outputs,w)});d.forEach(function(p,f){return c[f].push(p)})},u=0;u<o.length;++u)l(u);return Vt(c.map(function(h){return v.concat(h,0)}))})},t.prototype.predict=function(e,r){r===void 0&&(r={});var i=ev(e);rv(i,this.inputNames,this.feedInputShapes,!1);try{var a=r.batchSize==null?32:r.batchSize;return Jh(a),this.predictLoop(i,a)}finally{ai(i,e)}},t.prototype.predictOnBatch=function(e){rv(e,this.inputNames,this.feedInputShapes,!0);var r=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,r)},t.prototype.standardizeUserDataXY=function(e,r,i,a){if(this.optimizer_==null)throw new kn("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var s=[],o=0;o<this.feedOutputShapes.length;++o){var c=this.feedOutputShapes[o],l=this.feedLossFns[o];l===Ao?s.push(c.slice(0,c.length-1).concat([1])):s.push(c)}if(e=nv(e,this.feedInputNames,this.feedInputShapes,!1,"input"),r=nv(r,this.feedOutputNames,s,!1,"target"),f7(e,r),m7(r,this.feedLossFns,this.feedOutputShapes),this.stateful&&a!=null&&a>0&&e[0].shape[0]%a!==0)throw new M("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(a+". Found: "+e[0].shape[0]+" sample(s)."));return[e,r]},t.prototype.standardizeUserData=function(e,r,i,a,s,o){return s===void 0&&(s=!0),Ae(this,void 0,void 0,function(){var c,l,u,h,d,p,f,m;return xe(this,function(g){switch(g.label){case 0:if(c=this.standardizeUserDataXY(e,r,s,o),l=c[0],u=c[1],i!=null)throw new Error("sample weight is not supported yet.");if(h=null,!(a!=null))return[3,4];d=$y(a,this.outputNames),h=[],p=0,g.label=1;case 1:return p<d.length?(m=(f=h).push,[4,Xy(u[p],null,d[p])]):[3,4];case 2:m.apply(f,[g.sent()]),g.label=3;case 3:return++p,[3,1];case 4:return[2,[l,u,h]]}})})},t.prototype.testLoop=function(e,r,i,a,s){var o=this;return a===void 0&&(a=0),v.tidy(function(){var c=o.checkNumSamples(r,i,s,"steps"),l=[];if(a>0)throw new Re("Verbose mode is not implemented yet.");if(s!=null)throw new Re("steps mode in testLoop() is not implemented yet");for(var u=Qh(c,i),h=v.tensor1d(bn(0,c)),d=0;d<u.length;++d){var p=u[d][0],f=u[d][1],m=ri(h,p,f-p),g=Zh(r,m),y=e(g);if(d===0)for(var 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0;if(e.outputs.length>1&&f<e.outputs.length)x=i[f];else{var N=e.metricsTensors[f][0],I=e.metricsTensors[f][1];x=v.mean(N(s[I],g[I]))}v.keep(x),c.push(x)}return y=v.mean(y),e.calculateLosses().forEach(function(C){y=v.add(y,C)}),y},u=e.collectedTrainableWeights.map(function(p){return p.read()}),h=!0,d=e.optimizer_.minimize(l,h,u);return[d].concat(c)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(r){return v.tidy(function(){for(var i=[],a,s=r.slice(0,e.inputs.length),o=r.slice(e.inputs.length,e.inputs.length+e.outputs.length),c=[],l=0;l<e.inputs.length;++l)c.push({key:e.inputs[l],value:s[l]});for(var u=new Yi(c),h=Ka(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var d=e.lossFunctions[l],p=v.mean(d(o[l],h[l]));l===0?a=p:a=v.add(a,p),i.push(a)}for(var l=0;l<e.metricsTensors.length;++l){var f=e.metricsTensors[l][0],m=e.metricsTensors[l][1],g=v.mean(f(o[m],h[m]));i.push(g)}return i})}},t.prototype.fit=function(e,r,i){return i===void 0&&(i={}),Ae(this,void 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this.stopTraining_},set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var e=n.prototype.dispose.call(this);if(e.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){var r=v.memory().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=r-v.memory().numTensors}return e},t.prototype.getLossIdentifiers=function(){var e;if(typeof this.loss=="string")e=Zn(this.loss);else if(Array.isArray(this.loss)){for(var r=0,i=this.loss;r<i.length;r++){var a=i[r];if(typeof a!="string")throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map(function(h){return Zn(h)})}else{var s=Object.keys(this.loss);e={};for(var o=this.loss,c=0,l=s;c<l.length;c++){var u=l[c];if(typeof o[u]=="string")e[u]=Zn(o[u]);else throw new Error("Serialization of non-string loss is not supported.")}}return e},t.prototype.getMetricIdentifiers=function(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Zn(Co(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(i){return Zn(Co(i))});var e={};for(var r in this.metrics)e[r]=Zn(Co(this.metrics[r]));return e},t.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},t.prototype.loadTrainingConfig=function(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");var r=Ya(e.optimizer_config),i=Ln(r),a;if(typeof e.loss=="string")a=ti(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(function(c){return ti(c)});else if(e.loss!=null){a={};for(var s in e.loss)a[s]=ti(e.loss[s])}var o;if(Array.isArray(e.metrics))o=e.metrics.map(function(c){return ti(c)});else if(e.metrics!=null){o={};for(var s in e.metrics)o[s]=ti(e.metrics[s])}this.compile({loss:a,metrics:o,optimizer:i})},t.prototype.save=function(e,r){return Ae(this,void 0,void 0,function(){var i,a,s,o,c,l,u,h,d,p,f,m,g,y,w;return xe(this,function(b){switch(b.label){case 0:if(typeof e=="string"){if(i=v.io.getSaveHandlers(e),i.length===0)throw new M("Cannot find any save handlers for URL '"+e+"'");if(i.length>1)throw new M("Found more than one ("+i.length+") save handlers for "+("URL '"+e+"'"));e=i[0]}if(e.save==null)throw new M("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,v.io.encodeWeights(this.getNamedWeights(r))];case 1:return a=b.sent(),s=!1,o=null,c=this.toJSON(o,s),l={modelTopology:c,format:y7,generatedBy:"TensorFlow.js tfjs-layers v"+$h,convertedBy:null},u=r==null?!1:r.includeOptimizer,u&&this.optimizer!=null?(l.trainingConfig=this.getTrainingConfig(),h="optimizer",g=(m=v.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,g.apply(m,[b.sent(),h])];case 3:d=b.sent(),p=d.data,f=d.specs,(w=a.specs).push.apply(w,f),a.data=v.io.concatenateArrayBuffers([a.data,p]),b.label=4;case 4:return this.userDefinedMetadata!=null&&(y=!0,qy(this.userDefinedMetadata,this.name,y),l.userDefinedMetadata=this.userDefinedMetadata),l.weightData=a.data,l.weightSpecs=a.specs,[2,e.save(l)]}})})},t.prototype.setUserDefinedMetadata=function(e){qy(e,this.name),this.userDefinedMetadata=e},t.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},t.className="Model",t}(n7);v.serialization.registerClass(Sr);var v7=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.className="Functional",t}(Sr);v.serialization.registerClass(v7);function w7(n,t){return Ae(this,void 0,void 0,function(){var e,r,i,a,s,o,c,l;return xe(this,function(u){switch(u.label){case 0:return"modelTopology"in n||(n={modelTopology:n}),n=n,e=n.modelTopology,e.model_config!=null&&(e=e.model_config),r=Ya(e),i=Ln(r,t),n.weightsManifest!=null?[4,v.io.loadWeights(n.weightsManifest,n.pathPrefix,i.weights.map(function(h){return h.originalName}))]:[3,2];case 1:for(a=u.sent(),s={},o=0,c=i.weights;o<c.length;o++)l=c[o],s[l.originalName]=a[l.originalName];i.loadWeights(s),v.dispose(a),u.label=2;case 2:return[2,i]}})})}function x7(n,t){return Ae(this,void 0,void 0,function(){var e;return xe(this,function(r){if(t==null&&(t={}),typeof n=="string"){if(e=v.io.getLoadHandlers(n,t),e.length===0)e.push(v.io.browserHTTPRequest(n,t));else if(e.length>1)throw new M("Found more than one ("+e.length+") load handlers for "+("URL 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Therefore loading of weights cannot proceed.");return l=L7(r.weightData,r.weightSpecs),u=l.modelWeights,h=l.optimizerWeights,o.loadWeights(u,a),o.optimizer!=null&&h.length>0?[4,o.optimizer.setWeights(h)]:[3,3];case 2:d.sent(),d.label=3;case 3:v.dispose(u),v.dispose(h.map(function(p){return p.tensor})),d.label=4;case 4:return[2,o]}})})}function L7(n,t){var e=v.io.decodeWeights(n,t),r={},i=[];return t.forEach(function(a){a.group==="optimizer"?i.push({name:a.name,tensor:e[a.name]}):r[a.name]=e[a.name]}),{modelWeights:r,optimizerWeights:i}}var td=function(n){Q(t,n);function t(e){var r=n.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},r.trainable=!0,r.built=!1,r.name=e.name!=null?e.name:wo("sequential_"),e.layers!=null)for(var i=0,a=e.layers;i<a.length;i++){var s=a[i];r.add(s)}return r}return t.prototype.checkShape=function(e){var r=e.inboundNodes[0].outputTensors[0].shape;if(r.some(function(i){return i<0}))throw new M("Negative dimension size caused by adding layer "+(e.name+" with input shape [")+(e.inboundNodes[0].inputTensors[0].shape+"]"))},t.prototype.add=function(e){var r=e instanceof t||e instanceof Sr,i;if(r){if(i=e,i.outputs.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(i.inputs.length!==1)throw new M("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new M("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=Ry({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=i.outputs,this.inputs=i.inputs;else{if(e.inboundNodes.length!==1)throw new M("A layer added to a Sequential model must not already be "+("connected somewhere else. LayersModel received layer "+e.name+" ")+("which has "+e.inboundNodes.length+" pre-existing inbound ")+"connections.");if(e.inboundNodes[0].outputTensors.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. 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single number for 1D convolution, but received "+(""+JSON.stringify(i.dilationRate)));if(i.rank===2){if(typeof i.dilationRate=="number")i.dilationRate=[i.dilationRate,i.dilationRate];else if(i.dilationRate.length!==2)throw new M("dilationRate must be a number or array of two numbers for 2D "+("convolution, but received "+JSON.stringify(i.dilationRate)))}else if(i.rank===3){if(typeof i.dilationRate=="number")i.dilationRate=[i.dilationRate,i.dilationRate,i.dilationRate];else if(i.dilationRate.length!==3)throw new M("dilationRate must be a number or array of three numbers for 3D "+("convolution, but received "+JSON.stringify(i.dilationRate)))}return i}return t.verifyArgs=function(e){if(Fn("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Th(e.kernelSize,"number",1,3))throw new M("BaseConv expects config.kernelSize to be number or number[] with "+("length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+"."))},t.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Ir(this.activation),useBias:this.useBias,biasInitializer:lt(this.biasInitializer),biasRegularizer:Je(this.biasRegularizer),activityRegularizer:Je(this.activityRegularizer),biasConstraint:It(this.biasConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),Do=function(n){Q(t,n);function t(e,r){var i=n.call(this,e,r)||this;return i.kernel=null,t.verifyArgs(r),i.filters=r.filters,_t(i.filters,"filters"),i.kernelInitializer=at(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=At(r.kernelConstraint),i.kernelRegularizer=st(r.kernelRegularizer),i}return t.prototype.build=function(e){var r;e=Xe(e);var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[i]));var a=e[i],s=this.kernelSize.concat([a,this.filters]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(r={},r[i]=a,r)}],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a,s=i.bias==null?null:i.bias.read(),o=ty(i.activation.getClassName());if(o!=null&&i.rank===2)a=gv(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate,o);else{if(i.rank===1)a=M7(e,i.kernel.read(),s,i.strides[0],i.padding,i.dataFormat,i.dilationRate[0]);else if(i.rank===2)a=gv(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate);else if(i.rank===3)a=H7(e,i.kernel.read(),s,i.strides,i.padding,i.dataFormat,i.dilationRate);else throw new Re("convolutions greater than 3D are not implemented yet.");i.activation!=null&&(a=i.activation.apply(a))}return a})},t.prototype.computeOutputShape=function(e){e=Xe(e);for(var r=[],i=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2),a=0;a<i.length;++a){var s=Sn(i[a],this.kernelSize[a],this.padding,this.strides[a],typeof this.dilationRate=="number"?this.dilationRate:this.dilationRate[a]);r.push(s)}var o=[e[0]];return this.dataFormat==="channelsLast"?(o=o.concat(r),o.push(this.filters)):(o.push(this.filters),o=o.concat(r)),o},t.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:lt(this.kernelInitializer),kernelRegularizer:Je(this.kernelRegularizer),kernelConstraint:It(this.kernelConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.verifyArgs=function(e){if(!("filters"in e)||typeof e.filters!="number"||e.filters<1)throw new M("Convolution layer expected config.filters to be a 'number' > 0 "+("but got "+JSON.stringify(e.filters)))},t}(yv),ad=function(n){Q(t,n);function t(e){var r=n.call(this,2,e)||this;return t.verifyArgs(e),r}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!Th(e.kernelSize,"number",1,2))throw new M("Conv2D expects config.kernelSize to be number or number[] with "+("length 1 or 2, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv2D",t}(Do);v.serialization.registerClass(ad);var vv=function(n){Q(t,n);function t(e){var r=n.call(this,3,e)||this;return t.verifyArgs(e),r}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new M("Conv3D expects config.kernelSize to be number or"+(" [number, number, number], but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv3D",t}(Do);v.serialization.registerClass(vv);var wv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.inputSpec=[new Ct({ndim:4})],r.padding!=="same"&&r.padding!=="valid")throw new M("Conv2DTranspose currently supports only padding modes 'same' "+("and 'valid', but received padding mode "+r.padding));return r}return t.prototype.build=function(e){var r;if(e=Xe(e),e.length!==4)throw new M("Input should have rank 4; Received input shape: "+JSON.stringify(e));var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");var a=e[i],s=this.kernelSize.concat([this.filters,a]);this.kernel=this.addWeight("kernel",s,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new Ct({ndim:4,axes:(r={},r[i]=a,r)})],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=Oe(e);if(a.shape.length!==4)throw new M("Conv2DTranspose.call() expects input tensor to be rank-4, but "+("received a tensor of rank-"+a.shape.length));var s=a.shape,o=s[0],c,l;i.dataFormat==="channelsFirst"?(c=2,l=3):(c=1,l=2);var u=s[c],h=s[l],d=i.kernelSize[0],p=i.kernelSize[1],f=i.strides[0],m=i.strides[1],g=Eo(u,f,d,i.padding),y=Eo(h,m,p,i.padding),w=[o,g,y,i.filters];i.dataFormat!=="channelsLast"&&(a=v.transpose(a,[0,2,3,1]));var b=v.conv2dTranspose(a,i.kernel.read(),w,i.strides,i.padding);return i.dataFormat!=="channelsLast"&&(b=v.transpose(b,[0,3,1,2])),i.bias!=null&&(b=Un(b,i.bias.read(),i.dataFormat)),i.activation!=null&&(b=i.activation.apply(b)),b})},t.prototype.computeOutputShape=function(e){e=Xe(e);var r=e.slice(),i,a,s;this.dataFormat==="channelsFirst"?(i=1,a=2,s=3):(i=3,a=1,s=2);var o=this.kernelSize[0],c=this.kernelSize[1],l=this.strides[0],u=this.strides[1];return r[i]=this.filters,r[a]=Eo(r[a],l,o,this.padding),r[s]=Eo(r[s],u,c,this.padding),r},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.dilationRate,e},t.className="Conv2DTranspose",t}(ad);v.serialization.registerClass(wv);var V7=function(n){Q(t,n);function t(e,r){var i=n.call(this,e,r)||this;if(i.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",i.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",i.depthwiseKernel=null,i.pointwiseKernel=null,r.filters==null)throw new M("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(r.kernelInitializer!=null||r.kernelRegularizer!=null||r.kernelConstraint!=null)throw new M("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(r.padding!=null&&r.padding!=="same"&&r.padding!=="valid")throw new M("SeparableConv"+i.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(r.padding)));return i.depthMultiplier=r.depthMultiplier==null?1:r.depthMultiplier,i.depthwiseInitializer=at(r.depthwiseInitializer||i.DEFAULT_DEPTHWISE_INITIALIZER),i.depthwiseRegularizer=st(r.depthwiseRegularizer),i.depthwiseConstraint=At(r.depthwiseConstraint),i.pointwiseInitializer=at(r.depthwiseInitializer||i.DEFAULT_POINTWISE_INITIALIZER),i.pointwiseRegularizer=st(r.pointwiseRegularizer),i.pointwiseConstraint=At(r.pointwiseConstraint),i}return t.prototype.build=function(e){var r;if(e=Xe(e),e.length<this.rank+2)throw new M("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2+", but received input shape: ")+(""+JSON.stringify(e)));var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null||e[i]<0)throw new M("The channel dimension of the inputs should be defined, "+("but found "+JSON.stringify(e[i])));for(var a=e[i],s=this.kernelSize.concat([a,this.depthMultiplier]),o=[],c=0;c<this.rank;++c)o.push(1);o.push(a*this.depthMultiplier,this.filters);var l=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",s,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,l,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,l,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,l,this.biasConstraint):this.bias=null,this.inputSpec=[new Ct({ndim:this.rank+2,axes:(r={},r[i]=a,r)})],this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a;if(i.rank===1)throw new Re("1D separable convolution is not implemented yet.");return i.rank===2&&(i.dataFormat==="channelsFirst"&&(e=v.transpose(e,[0,2,3,1])),a=v.separableConv2d(e,i.depthwiseKernel.read(),i.pointwiseKernel.read(),i.strides,i.padding,i.dilationRate,"NHWC")),i.useBias&&(a=Un(a,i.bias.read(),i.dataFormat)),i.activation!=null&&(a=i.activation.apply(a)),i.dataFormat==="channelsFirst"&&(a=v.transpose(a,[0,3,1,2])),a})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=lt(this.depthwiseInitializer),e.pointwiseInitializer=lt(this.pointwiseInitializer),e.depthwiseRegularizer=Je(this.depthwiseRegularizer),e.pointwiseRegularizer=Je(this.pointwiseRegularizer),e.depthwiseConstraint=It(this.depthwiseConstraint),e.pointwiseConstraint=It(this.pointwiseConstraint),e},t.className="SeparableConv",t}(Do),bv=function(n){Q(t,n);function t(e){return n.call(this,2,e)||this}return t.className="SeparableConv2D",t}(V7);v.serialization.registerClass(bv);var xv=function(n){Q(t,n);function t(e){var r=n.call(this,1,e)||this;return t.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!Th(e.kernelSize,"number",1,1))throw new M("Conv1D expects config.kernelSize to be number or number[] with "+("length 1, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv1D",t}(Do);v.serialization.registerClass(xv);var Lv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return typeof e.cropping=="number"?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return t.prototype.computeOutputShape=function(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e=Oe(e),i.dataFormat==="channelsLast"){var a=go(e,i.cropping[0][0],e.shape[1]-i.cropping[0][0]-i.cropping[0][1],2);return go(a,i.cropping[1][0],e.shape[2]-i.cropping[1][1]-i.cropping[1][0],3)}else{var a=go(e,i.cropping[0][0],e.shape[2]-i.cropping[0][0]-i.cropping[0][1],3);return go(a,i.cropping[1][0],e.shape[3]-i.cropping[1][1]-i.cropping[1][0],4)}})},t.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Cropping2D",t}(Fe);v.serialization.registerClass(Lv);var Sv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=e.size==null?r.DEFAULT_SIZE:e.size,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,r}return t.prototype.computeOutputShape=function(e){if(this.dataFormat==="channelsFirst"){var r=e[2]==null?null:this.size[0]*e[2],i=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],r,i]}else{var r=e[1]==null?null:this.size[0]*e[1],i=e[2]==null?null:this.size[1]*e[2];return[e[0],r,i,e[3]]}},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=Oe(e),s=a.shape;if(i.dataFormat==="channelsFirst"){a=v.transpose(a,[0,2,3,1]);var o=i.size[0]*s[2],c=i.size[1]*s[3],l=a.resizeNearestNeighbor([o,c]);return v.transpose(l,[0,3,1,2])}else{var o=i.size[0]*s[1],c=i.size[1]*s[2];return a.resizeNearestNeighbor([o,c])}})},t.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="UpSampling2D",t}(Fe);v.serialization.registerClass(Sv);function G7(n,t,e,r,i,a){return e===void 0&&(e=[1,1]),r===void 0&&(r="valid"),v.tidy(function(){i==null&&(i=wn()),gt(i);var s=id(n,i);if(n.rank!==4)throw new M("Input for depthwiseConv2d is required to be 4-D, but is instead "+(n.rank+"-D"));if(t.rank!==4)throw new M("depthwiseKernel is required to be 4-D, but is instead "+(t.rank+"-D"));return s=v.depthwiseConv2d(s,t,e,r==="same"?"same":"valid","NHWC",a),i==="channelsFirst"&&(s=v.transpose(s,[0,3,1,2])),s})}var Iv=function(n){Q(t,n);function t(e){var r=n.call(this,2,e)||this;return r.depthwiseKernel=null,r.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,r.depthwiseInitializer=at(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=At(e.depthwiseConstraint),r.depthwiseRegularizer=st(e.depthwiseRegularizer),r}return t.prototype.build=function(e){if(e=Xe(e),e.length<4)throw new M("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(e)+"."));var r=this.dataFormat==="channelsFirst"?1:3;if(e[r]==null||e[r]<0)throw new M("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+e[r]+")."));var i=e[r],a=[this.kernelSize[0],this.kernelSize[1],i,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[i*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=Oe(e);var a=G7(e,i.depthwiseKernel.read(),i.strides,i.padding,i.dataFormat,null);return i.useBias&&(a=Un(a,i.bias.read(),i.dataFormat)),i.activation!=null&&(a=i.activation.apply(a)),a})},t.prototype.computeOutputShape=function(e){e=Xe(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=Sn(r,this.kernelSize[0],this.padding,this.strides[0]),o=Sn(i,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,s,o]:[e[0],s,o,a]},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=lt(this.depthwiseInitializer),e.depthwiseRegularizer=Je(this.depthwiseRegularizer),e.depthwiseConstraint=It(this.depthwiseRegularizer),e},t.className="DepthwiseConv2D",t}(yv);v.serialization.registerClass(Iv);function Av(n,t,e,r){if(Array.isArray(n)){if(t!=null||e!=null)throw new M("When inputs is an array, neither initialState or constants should be provided");r!=null&&(e=n.slice(n.length-r,n.length),n=n.slice(0,n.length-r)),n.length>1&&(t=n.slice(1,n.length)),n=n[0]}function i(a){return a==null||Array.isArray(a)?a:[a]}return t=i(t),e=i(e),{inputs:n,initialState:t,constants:e}}function Tv(n,t,e,r,i,a,s,o){return r===void 0&&(r=!1),s===void 0&&(s=!1),o===void 0&&(o=!1),v.tidy(function(){var c=t.shape.length;if(c<3)throw new M("Input should be at least 3D, but is "+c+"D.");var l=[1,0].concat(bn(2,c));if(t=v.transpose(t,l),a!=null)throw new Re("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),i!=null&&(i=i.asType("bool").asType("float32"),i.rank===c-1&&(i=v.expandDims(i,-1)),i=v.transpose(i,l)),r&&(t=v.reverse(t,0),i!=null&&(i=v.reverse(i,0)));var u=[],h,d=e,p=t.shape[0],f=v.unstack(t),m;i!=null&&(m=v.unstack(i));for(var g=function(L){var x=f[L],N=v.tidy(function(){return n(x,d)});if(i==null)h=N[0],d=N[1];else{var I=v.tidy(function(){var C=m[L],O=v.onesLike(C).sub(C),D=N[0].mul(C).add(d[0].mul(O)),F=d.map(function(k,B){return N[1][B].mul(C).add(k.mul(O))});return{output:D,newStates:F}});h=I.output,d=I.newStates}o&&u.push(h)},y=0;y<p;++y)g(y);var w;if(o){var b=1;w=v.stack(u,b)}return[h,w,d]})}var Tr=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this,i;if(e.cell==null)throw new M("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?i=new sd({cells:e.cell}):i=e.cell,i.stateSize==null)throw new M("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=i,r.returnSequences=e.returnSequences==null?!1:e.returnSequences,r.returnState=e.returnState==null?!1:e.returnState,r.goBackwards=e.goBackwards==null?!1:e.goBackwards,r._stateful=e.stateful==null?!1:e.stateful,r.unroll=e.unroll==null?!1:e.unroll,r.supportsMasking=!0,r.inputSpec=[new Ct({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return t.prototype.getStates=function(){if(this.states_==null){var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return bn(0,e).map(function(r){return null})}else return this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){zh(e)&&(e=e[0]),e=e;var r=this.cell.stateSize;Array.isArray(r)||(r=[r]);var i=r[0],a;if(this.returnSequences?a=[e[0],e[1],i]:a=[e[0],i],this.returnState){for(var s=[],o=0,c=r;o<c.length;o++){var l=c[o];s.push([e[0],l])}return[a].concat(s)}else return a},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){Array.isArray(r)&&(r=r[0]);var a=i.returnSequences?r:null;if(i.returnState){var s=i.states.map(function(o){return null});return[a].concat(s)}else return a})},Object.defineProperty(t.prototype,"states",{get:function(){if(this.states_==null){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,r=[],i=0;i<e;++i)r.push(null);return r}else return this.states_},set:function(e){this.states_=e},enumerable:!0,configurable:!0}),t.prototype.build=function(e){if(this.numConstants!=null)throw new Re("Constants support is not implemented in RNN yet.");zh(e)&&(e=e[0]),e=e;var r=this.stateful?e[0]:null,i=e.slice(2);this.inputSpec[0]=new Ct({shape:[r,null].concat(i)});var a=[e[0]].concat(e.slice(2));this.cell.build(a);var s;if(Array.isArray(this.cell.stateSize)?s=this.cell.stateSize:s=[this.cell.stateSize],this.stateSpec!=null){if(!v.util.arraysEqual(this.stateSpec.map(function(o){return o.shape[o.shape.length-1]}),s))throw new M("An initialState was passed that is not compatible with "+("cell.stateSize. Received stateSpec="+this.stateSpec+"; ")+("However cell.stateSize is "+this.cell.stateSize))}else this.stateSpec=s.map(function(o){return new Ct({shape:[null,o]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,r){var i=this;r===void 0&&(r=!1),v.tidy(function(){if(!i.stateful)throw new vr("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=i.inputSpec[0].shape[0];if(a==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(i.states_==null)Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(u){return v.zeros([a,u])}):i.states_=[v.zeros([a,i.cell.stateSize])];else if(e==null)v.dispose(i.states_),i.keptStates!=null&&(v.dispose(i.keptStates),i.keptStates=[]),Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(u){return v.zeros([a,u])}):i.states_[0]=v.zeros([a,i.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==i.states_.length)throw new M("Layer "+i.name+" expects "+i.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));r===!0?i.keptStates.push(i.states_.slice()):v.dispose(i.states_);for(var s=0;s<i.states_.length;++s){var o=e[s],c=Array.isArray(i.cell.stateSize)?i.cell.stateSize[s]:i.cell.stateSize,l=[a,c];if(!v.util.arraysEqual(o.shape,l))throw new M("State "+s+" is incompatible with layer "+i.name+": "+("expected shape="+l+", received shape="+o.shape));i.states_[s]=o}}i.states_=i.states_.map(function(u){return v.keep(u.clone())})})},t.prototype.apply=function(e,r){var i=r==null?null:r.initialState,a=r==null?null:r.constants;r==null&&(r={});var s=Av(e,i,a,this.numConstants);e=s.inputs,i=s.initialState,a=s.constants;var o=[],c=[];if(i!=null){r.initialState=i,o=o.concat(i),this.stateSpec=[];for(var l=0,u=i;l<u.length;l++){var h=u[l];this.stateSpec.push(new Ct({shape:h.shape}))}c=c.concat(this.stateSpec)}a!=null&&(r.constants=a,o=o.concat(a),this.numConstants=a.length);var d=o[0]instanceof xn;if(d){var p=[e].concat(o),f=this.inputSpec.concat(c),m=this.inputSpec;this.inputSpec=f;var g=n.prototype.apply.call(this,p,r);return this.inputSpec=m,g}else return n.prototype.apply.call(this,e,r)},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;e=Oe(e),o==null&&(i.stateful?o=i.states_:o=i.getInitialState(e));var c=Array.isArray(i.cell.stateSize)?i.cell.stateSize.length:1;if(o.length!==c)throw new M("RNN Layer has "+c+" state(s) but was passed "+(o.length+" initial state(s)."));i.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var l={training:s},u=function(g,y){var w=i.cell.call([g].concat(y),l);return[w[0],w.slice(1)]},h=Tv(u,e,o,i.goBackwards,a,null,i.unroll,i.returnSequences),d=h[0],p=h[1],f=h[2];i.stateful&&i.resetStates(f,s);var m=i.returnSequences?p:d;return i.returnState?[m].concat(f):m})},t.prototype.getInitialState=function(e){var r=this;return v.tidy(function(){var i=v.zeros(e.shape);return i=v.sum(i,[1,2]),i=Ma(i),Array.isArray(r.cell.stateSize)?r.cell.stateSize.map(function(a){return a>1?_h(i,[1,a]):i}):r.cell.stateSize>1?[_h(i,[1,r.cell.stateSize])]:[i]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.setFastWeightInitDuringBuild=function(e){n.prototype.setFastWeightInitDuringBuild.call(this,e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(r.numConstants=this.numConstants);var i=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:i}),Xt({},i,e,r)},t.fromConfig=function(e,r,i){i===void 0&&(i={});var a=r.cell,s=Ln(a,i);return new e(Object.assign(r,{cell:s}))},t.className="RNN",t}(Fe);v.serialization.registerClass(Tr);var ji=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(Fe),od=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,_t(r.units,"units"),r.activation=Ar(e.activation==null?r.DEFAULT_ACTIVATION:e.activation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=At(e.kernelConstraint),r.recurrentConstraint=At(e.recurrentConstraint),r.biasConstraint=At(e.biasConstraint),r.dropout=Vi([1,xr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Vi([1,xr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){e=Xe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e=e,e.length!==2)throw new M("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var s=r.training==null?!1:r.training;0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Nr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:s})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Nr({ones:function(){return v.onesLike(a)},rate:i.recurrentDropout,training:s}));var o,c=i.dropoutMask,l=i.recurrentDropoutMask;c!=null?o=Wn(v.mul(e,c),i.kernel.read()):o=Wn(e,i.kernel.read()),i.bias!=null&&(o=Un(o,i.bias.read())),l!=null&&(a=v.mul(a,l));var u=v.add(o,Wn(a,i.recurrentKernel.read()));return i.activation!=null&&(u=i.activation.apply(u)),[u,u]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Ir(this.activation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Je(this.kernelRegularizer),recurrentRegularizer:Je(this.recurrentRegularizer),biasRegularizer:Je(this.biasRegularizer),activityRegularizer:Je(this.activityRegularizer),kernelConstraint:It(this.kernelConstraint),recurrentConstraint:It(this.recurrentConstraint),biasConstraint:It(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Xt({},e,r)},t.className="SimpleRNNCell",t}(ji);v.serialization.registerClass(od);var Nv=function(n){Q(t,n);function t(e){var r=this;return e.cell=new od(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return new e(r)},t.className="SimpleRNN",t}(Tr);v.serialization.registerClass(Nv);var cd=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new M("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,_t(r.units,"units"),r.activation=Ar(e.activation===void 0?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ar(e.recurrentActivation===void 0?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=At(e.kernelConstraint),r.recurrentConstraint=At(e.recurrentConstraint),r.biasConstraint=At(e.biasConstraint),r.dropout=Vi([1,xr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Vi([1,xr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){e=Xe(e);var r=e[e.length-1];this.kernel=this.addWeight("kernel",[r,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e=e,e.length!==2)throw new M("GRUCell expects 2 input Tensors (inputs, h, c), got "+(e.length+"."));var a=r.training==null?!1:r.training,s=e[1];e=e[0],0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Nr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:a,count:3})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Nr({ones:function(){return v.onesLike(s)},rate:i.recurrentDropout,training:a,count:3}));var o=i.dropoutMask,c=i.recurrentDropoutMask,l,u,h;0<i.dropout&&i.dropout<1&&(e=v.mul(e,o[0]));var d=Wn(e,i.kernel.read());i.useBias&&(d=Un(d,i.bias.read())),0<i.recurrentDropout&&i.recurrentDropout<1&&(s=v.mul(s,c[0]));var p=i.recurrentKernel.read(),f=v.split(p,[2*i.units,i.units],p.rank-1),m=f[0],g=f[1],y=Wn(s,m),w=v.split(d,3,d.rank-1),b=w[0],L=w[1],x=w[2],N=v.split(y,2,y.rank-1),I=N[0],C=N[1];l=i.recurrentActivation.apply(v.add(b,I)),u=i.recurrentActivation.apply(v.add(L,C));var O=Wn(v.mul(u,s),g);h=i.activation.apply(v.add(x,O));var D=v.add(v.mul(l,s),v.mul(v.add(1,v.neg(l)),h));return[D,D]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Ir(this.activation),recurrentActivation:Ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Je(this.kernelRegularizer),recurrentRegularizer:Je(this.recurrentRegularizer),biasRegularizer:Je(this.biasRegularizer),activityRegularizer:Je(this.activityRegularizer),kernelConstraint:It(this.kernelConstraint),recurrentConstraint:It(this.recurrentConstraint),biasConstraint:It(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Xt({},e,r)},t.className="GRUCell",t}(ji);v.serialization.registerClass(cd);var _v=function(n){Q(t,n);function t(e){var r=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new cd(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return r.implmentation===0&&(r.implementation=1),new e(r)},t.className="GRU",t}(Tr);v.serialization.registerClass(_v);var ko=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,_t(r.units,"units"),r.activation=Ar(e.activation===void 0?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ar(e.recurrentActivation===void 0?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=e.useBias==null?!0:e.useBias,r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=at(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=st(e.kernelRegularizer),r.recurrentRegularizer=st(e.recurrentRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.kernelConstraint=At(e.kernelConstraint),r.recurrentConstraint=At(e.recurrentConstraint),r.biasConstraint=At(e.biasConstraint),r.dropout=Vi([1,xr([0,e.dropout==null?0:e.dropout])]),r.recurrentDropout=Vi([1,xr([0,e.recurrentDropout==null?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return t.prototype.build=function(e){var r;e=Xe(e);var i=e[e.length-1];this.kernel=this.addWeight("kernel",[i,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);var a;if(this.useBias){if(this.unitForgetBias){var s=this.biasInitializer,o=this.units;a=new(r=function(c){Q(l,c);function l(){return c!==null&&c.apply(this,arguments)||this}return l.prototype.apply=function(u,h){var d=s.apply([o]),p=new Eh().apply([o]),f=s.apply([o*2]);return fy(fy(d,p),f)},l}(hn),r.className="CustomInit",r)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=r.training==null?!1:r.training;if(e=e,e.length!==3)throw new M("LSTMCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var s=e[1],o=e[2];e=e[0],0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Nr({ones:function(){return v.onesLike(e)},rate:i.dropout,training:a,count:4})),0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Nr({ones:function(){return v.onesLike(s)},rate:i.recurrentDropout,training:a,count:4}));var c=i.dropoutMask,l=i.recurrentDropoutMask,u,h,d,p;0<i.dropout&&i.dropout<1&&(e=v.mul(e,c[0]));var f=Wn(e,i.kernel.read());0<i.recurrentDropout&&i.recurrentDropout<1&&(s=v.mul(s,l[0])),f=v.add(f,Wn(s,i.recurrentKernel.read())),i.useBias&&(f=Un(f,i.bias.read()));var m=v.split(f,4,f.rank-1),g=m[0],y=m[1],w=m[2],b=m[3];u=i.recurrentActivation.apply(g),h=i.recurrentActivation.apply(y),d=v.add(v.mul(h,o),v.mul(u,i.activation.apply(w))),p=i.recurrentActivation.apply(b);var L=v.mul(p,i.activation.apply(d));return[L,L,d]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={units:this.units,activation:Ir(this.activation),recurrentActivation:Ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),recurrentInitializer:lt(this.recurrentInitializer),biasInitializer:lt(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Je(this.kernelRegularizer),recurrentRegularizer:Je(this.recurrentRegularizer),biasRegularizer:Je(this.biasRegularizer),activityRegularizer:Je(this.activityRegularizer),kernelConstraint:It(this.kernelConstraint),recurrentConstraint:It(this.recurrentConstraint),biasConstraint:It(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Xt({},e,r)},t.className="LSTMCell",t}(ji);v.serialization.registerClass(ko);var Cv=function(n){Q(t,n);function t(e){var r=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new ko(e),r=n.call(this,e)||this,r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,r){return r.implmentation===0&&(r.implementation=1),new e(r)},t.className="LSTM",t}(Tr);v.serialization.registerClass(Cv);var sd=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.cells=e.cells,r}return Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],r=0,i=this.cells.slice().reverse();r<i.length;r++){var a=i[r];Array.isArray(a.stateSize)?e.push.apply(e,a.stateSize):e.push(a.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,r){var i=this;return v.tidy(function(){e=e;for(var a=e.slice(1),s=[],o=0,c=i.cells.slice().reverse();o<c.length;o++){var l=c[o];Array.isArray(l.stateSize)?s.push(a.splice(0,l.stateSize.length)):s.push(a.splice(0,1))}s.reverse();for(var u=[],h,d=0;d<i.cells.length;++d){var l=i.cells[d];a=s[d],d===0?h=[e[0]].concat(a):h=[h[0]].concat(a),h=l.call(h,r),u.push(h.slice(1))}a=[];for(var p=0,f=u.slice().reverse();p<f.length;p++){var m=f[p];a.push.apply(a,m)}return[h[0]].concat(a)})},t.prototype.build=function(e){zh(e)&&(e=e[0]),e=e;var r;this.cells.forEach(function(i,a){ni("RNNCell_"+a,function(){i.build(e),Array.isArray(i.stateSize)?r=i.stateSize[0]:r=i.stateSize,e=[e[0],r]})}),this.built=!0},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r=function(s){return{className:s.getClassName(),config:s.getConfig()}},i=this.cells.map(r),a={cells:i};return Xt({},e,a)},t.fromConfig=function(e,r,i){i===void 0&&(i={});for(var a=[],s=0,o=r.cells;s<o.length;s++){var c=o[s];a.push(Ln(c,i))}return new e({cells:a})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,c=this.cells;o<c.length;o++){var a=c[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],r=0,i=this.cells;r<i.length;r++){var a=i[r];e.push.apply(e,a.weights)}return Ph(e)},t.prototype.setWeights=function(e){for(var r=[],i=0,a=this.cells;i<a.length;i++)for(var s=a[i],o=s.weights.length,c=e.splice(o),l=0;l<s.weights.length;++l)r.push([s.weights[l],c[l]]);Mh(r)},t.className="StackedRNNCells",t}(ji);v.serialization.registerClass(sd);function Nr(n){var t=n.ones,e=n.rate,r=n.training,i=r===void 0?!1:r,a=n.count,s=a===void 0?1:a,o=function(){return gy(t(),e)},c=function(){return Va(o,t,i)};if(!s||s<=1)return v.keep(c().clone());var l=Array(s).fill(void 0).map(c);return l.map(function(u){return v.keep(u.clone())})}var AG=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(ji),q7=function(n){Q(t,n);function t(e){var r=this;if(e.unroll)throw new Re("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Re("It is not possible at the moment to stack convolutional cells.");return r=n.call(this,e)||this,r.inputSpec=[new Ct({ndim:5})],r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(i.cell.dropoutMask!=null&&(v.dispose(i.cell.dropoutMask),i.cell.dropoutMask=null),i.cell.recurrentDropoutMask!=null&&(v.dispose(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null),r&&r.constants)throw new M("ConvRNN2D cell does not support constants");var a=r==null?null:r.mask,s=r==null?null:r.training,o=r==null?null:r.initialState;return n.prototype.call.call(i,e,{mask:a,training:s,initialState:o})})},t.prototype.computeOutputShape=function(e){var r=this.computeSingleOutputShape(e);return this.returnSequences||(r=[r[0]].concat(r.slice(2))),this.returnState&&(r=[r].concat(Array(2).fill([e[0]].concat(r.slice(-3))))),r},t.prototype.getInitialState=function(e){var r=this;return v.tidy(function(){var i=r.cell.stateSize,a=e.shape,s=r.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),c=v.zeros(o);return Array.isArray(i)?Array(i.length).fill(c):[c]})},t.prototype.resetStates=function(e,r){var i=this;r===void 0&&(r=!1),v.tidy(function(){if(!i.stateful)throw new vr("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=i.inputSpec[0].shape,s=i.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),c=a[0];if(c==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(i.getStates()==null)Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(){return v.zeros(o)}):i.states_=[v.zeros(o)];else if(e==null)v.dispose(i.states_),i.keptStates!=null&&(v.dispose(i.keptStates),i.keptStates=[]),Array.isArray(i.cell.stateSize)?i.states_=i.cell.stateSize.map(function(){return v.zeros(o)}):i.states_[0]=v.zeros(o);else{if(Array.isArray(e)||(e=[e]),e.length!==i.states_.length)throw new M("Layer "+i.name+" expects "+i.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));r?i.keptStates.push(i.states_.slice()):v.dispose(i.states_);for(var l=0;l<i.states_.length;++l){var u=e[l],h=o;if(!v.util.arraysEqual(u.shape,h))throw new M("State "+l+" is incompatible with layer "+i.name+": "+("expected shape="+h+", received shape="+u.shape));i.states_[l]=u}}i.states_=i.states_.map(function(d){return v.keep(d.clone())})})},t.prototype.computeSingleOutputShape=function(e){var r=this.cell,i=r.dataFormat,a=r.filters,s=r.kernelSize,o=r.padding,c=r.strides,l=r.dilationRate,u=i==="channelsFirst",h=e[u?3:2],d=e[u?4:3],p=Sn(h,s[0],o,c[0],l[0]),f=Sn(d,s[1],o,c[1],l[1]),m=e.slice(0,2).concat(u?[a,p,f]:[p,f,a]);return m},t.className="ConvRNN2D",t}(Tr),ld=function(n){Q(t,n);function t(e){var r=this,i=e.filters,a=e.kernelSize,s=e.strides,o=e.padding,c=e.dataFormat,l=e.dilationRate;return r=n.call(this,Xt({},e,{units:i}))||this,r.filters=i,_t(r.filters,"filters"),r.kernelSize=Ki(a,2,"kernelSize"),r.kernelSize.forEach(function(u){return _t(u,"kernelSize")}),r.strides=Ki(s||1,2,"strides"),r.strides.forEach(function(u){return _t(u,"strides")}),r.padding=o||"valid",sn(r.padding),r.dataFormat=c||"channelsLast",gt(r.dataFormat),r.dilationRate=Ki(l||1,2,"dilationRate"),r.dilationRate.forEach(function(u){return _t(u,"dilationRate")}),r}return t.prototype.build=function(e){var r;e=Xe(e);var i=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[i]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[i]));var a=e[i],s=4,o=this.kernelSize.concat([a,this.filters*s]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var c=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",c,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var l=void 0;if(this.unitForgetBias){var u=this.biasInitializer,h=this.filters;l=new(r=function(d){Q(p,d);function p(){return d!==null&&d.apply(this,arguments)||this}return p.prototype.apply=function(f,m){var g=u.apply([h]),y=v.ones([h]),w=u.apply([h*2]);return Rh([g,y,w])},p}(hn),r.className="CustomInit",r)}else l=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,l,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(e.length!==3)throw new M("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var a=r.training||!1,s=e[0],o=e[1],c=e[2],l=4;0<i.dropout&&i.dropout<1&&i.dropoutMask==null&&(i.dropoutMask=Nr({ones:function(){return v.onesLike(s)},rate:i.dropout,training:a,count:l}));var u=i.dropoutMask,h=function(re,ie,oe){return!ie||!ie[oe]?re:v.mul(ie[oe],re)},d=h(s,u,0),p=h(s,u,1),f=h(s,u,2),m=h(s,u,3);0<i.recurrentDropout&&i.recurrentDropout<1&&i.recurrentDropoutMask==null&&(i.recurrentDropoutMask=Nr({ones:function(){return v.onesLike(o)},rate:i.recurrentDropout,training:a,count:l}));var g=i.recurrentDropoutMask,y=h(o,g,0),w=h(o,g,1),b=h(o,g,2),L=h(o,g,3),x=3,N=v.split(i.kernel.read(),l,x),I=N[0],C=N[1],O=N[2],D=N[3],F=i.useBias?v.split(i.bias.read(),l):[null,null,null,null],k=F[0],B=F[1],V=F[2],P=F[3];d=i.inputConv(d,I,k,i.padding),p=i.inputConv(p,C,B,i.padding),f=i.inputConv(f,O,V,i.padding),m=i.inputConv(m,D,P,i.padding);var G=v.split(i.recurrentKernel.read(),l,x),j=G[0],q=G[1],H=G[2],J=G[3];y=i.recurrentConv(y,j),w=i.recurrentConv(w,q),b=i.recurrentConv(b,H),L=i.recurrentConv(L,J);var $=i.recurrentActivation.apply(v.add(d,y)),ee=i.recurrentActivation.apply(v.add(p,w)),te=v.add(v.mul(ee,c),v.mul($,i.activation.apply(v.add(f,b)))),ne=v.mul(i.recurrentActivation.apply(v.add(m,L)),i.activation.apply(te));return[ne,ne,te]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r=e.units,i=CO(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Xt({},i,a)},t.prototype.inputConv=function(e,r,i,a){var s=v.conv2d(e,r,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return i?Un(s,i,this.dataFormat):s},t.prototype.recurrentConv=function(e,r){var i=1;return v.conv2d(e,r,i,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")},t.className="ConvLSTM2DCell",t}(ko);v.serialization.registerClass(ld);var Rv=function(n){Q(t,n);function t(e){var r=this,i=new ld(e);return r=n.call(this,Xt({},e,{cell:i}))||this,r}return t.fromConfig=function(e,r){return new e(r)},t.className="ConvLSTM2D",t}(q7);v.serialization.registerClass(Rv);var ud=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return t.prototype.getNoiseShape=function(e){if(this.noiseShape==null)return this.noiseShape;for(var r=e.shape,i=[],a=0;a<this.noiseShape.length;++a)i.push(this.noiseShape[a]==null?r[a]:this.noiseShape[a]);return i},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(0<i.rate&&i.rate<1){var s=r.training==null?!1:r.training,o=i.getNoiseShape(a),c=Va(function(){return gy(a,i.rate,o,i.seed)},function(){return a},s);return c}return e})},t.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.prototype.dispose=function(){return n.prototype.dispose.call(this)},t.className="Dropout",t}(Fe);v.serialization.registerClass(ud);var Ov=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.inputSpec=[{ndim:3}],r}return t.prototype.getNoiseShape=function(e){var r=e.shape;return[r[0],1,r[2]]},t.className="SpatialDropout1D",t}(ud);v.serialization.registerClass(Ov);var Ev=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){var i=null;e.batchSize!=null&&(i=e.batchSize),r.batchInputShape=[i,e.inputDim]}return r.units=e.units,_t(r.units,"units"),r.activation=Ar(e.activation),e.useBias!=null&&(r.useBias=e.useBias),r.kernelInitializer=at(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=at(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=At(e.kernelConstraint),r.biasConstraint=At(e.biasConstraint),r.kernelRegularizer=st(e.kernelRegularizer),r.biasRegularizer=st(e.biasRegularizer),r.activityRegularizer=st(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return t.prototype.build=function(e){var r;e=Xe(e);var i=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[i,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(r={},r[-1]=i,r)}],this.built=!0},t.prototype.computeOutputShape=function(e){e=Xe(e);var r=e.slice();return r[r.length-1]=this.units,r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=ty(i.activation.getClassName()),o;return s!=null?o=Wn(a,i.kernel.read(),s,i.bias?i.bias.read():null):(o=Wn(a,i.kernel.read()),i.bias!=null&&(o=Un(o,i.bias.read())),i.activation!=null&&(o=i.activation.apply(o))),o})},t.prototype.getConfig=function(){var e={units:this.units,activation:Ir(this.activation),useBias:this.useBias,kernelInitializer:lt(this.kernelInitializer),biasInitializer:lt(this.biasInitializer),kernelRegularizer:Je(this.kernelRegularizer),biasRegularizer:Je(this.biasRegularizer),activityRegularizer:Je(this.activityRegularizer),kernelConstraint:It(this.kernelConstraint),biasConstraint:It(this.biasConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Dense",t}(Fe);v.serialization.registerClass(Ev);var Dv=function(n){Q(t,n);function t(e){var r=this;return e=e||{},r=n.call(this,e)||this,r.inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return t.prototype.computeOutputShape=function(e){e=Xe(e);for(var r=0,i=e.slice(1);r<i.length;r++){var a=i[r];if(a==null)throw new M('The shape of the input to "Flatten" is not fully defined '+("(got "+e.slice(1)+"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],br(e,1)]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(i.dataFormat==="channelsFirst"&&a.rank>1){for(var s=[0],o=2;o<a.rank;++o)s.push(o);s.push(1),a=a.transpose(s)}return jO(a)})},t.prototype.getConfig=function(){var e={};this.dataFormat!=null&&(e.dataFormat=this.dataFormat);var r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Flatten",t}(Fe);v.serialization.registerClass(Dv);var kv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.activation=Ar(e.activation),r}return t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);return i.activation.apply(a)})},t.prototype.getConfig=function(){var e={activation:Ir(this.activation)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Activation",t}(Fe);v.serialization.registerClass(kv);var Fv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.n=e.n,r.inputSpec=[{ndim:2}],r}return t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return e=Oe(e),YO(e,i.n)})},t.prototype.getConfig=function(){var e={n:this.n},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="RepeatVector",t}(Fe);v.serialization.registerClass(Fv);var Wv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;r.targetShape=e.targetShape;for(var i=0;i<r.targetShape.length;++i)r.isUnknown(r.targetShape[i])&&(r.targetShape[i]=null);return r}return t.prototype.isUnknown=function(e){return e<0||e==null},t.prototype.fixUnknownDimension=function(e,r){for(var i="Total size of new array must be unchanged.",a=r.slice(),s=1,o=null,c=0;c<a.length;++c){var l=a[c];if(this.isUnknown(l))if(o===null)o=c;else throw new M("Can only specifiy one unknown dimension.");else s*=l}var u=br(e);if(o!==null){if(s===0||u%s!==0)throw new M(i);a[o]=u/s}else if(u!==s)throw new M(i);return a},t.prototype.computeOutputShape=function(e){for(var r=!1,i=0;i<e.length;++i)if(this.isUnknown(e[i])){r=!0;break}return r?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=a.shape,o=s.slice(0,1).concat(i.fixUnknownDimension(s.slice(1),i.targetShape));return a.reshape(o)})},t.prototype.getConfig=function(){var e={targetShape:this.targetShape},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Reshape",t}(Fe);v.serialization.registerClass(Wv);var Uv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+(e.dims+" instead."));var i=bn(1,e.dims.length+1);if(!v.util.arraysEqual(e.dims.slice().sort(),i))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new Ct({ndim:r.dims.length+1})],r}return t.prototype.computeOutputShape=function(e){e=Xe(e);var r=e.slice();return this.dims.forEach(function(i,a){r[a+1]=e[i]}),r},t.prototype.call=function(e,r){return v.transpose(Oe(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var e={dims:this.dims},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Permute",t}(Fe);v.serialization.registerClass(Uv);var Bv=function(n){Q(t,n);function t(e){var r=n.call(this,e==null?{}:e)||this;return r.supportsMasking=!0,e!=null?r.maskValue=e.maskValue==null?0:e.maskValue:r.maskValue=0,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={maskValue:this.maskValue};return Object.assign(r,e),r},t.prototype.computeMask=function(e,r){var i=Oe(e),a=-1;return v.any(v.notEqual(i,this.maskValue),a)},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=-1,o=!0,c=v.any(v.notEqual(a,i.maskValue),s,o),l=a.mul(c.asType(a.dtype));return l})},t.className="Masking",t}(Fe);v.serialization.registerClass(Bv);var zv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;if(r.embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){var i=null;e.batchSize!=null&&(i=e.batchSize),e.inputLength==null?r.batchInputShape=[i,null]:r.batchInputShape=[i].concat(nt(e.inputLength))}return r.inputDim=e.inputDim,_t(r.inputDim,"inputDim"),r.outputDim=e.outputDim,_t(r.outputDim,"outputDim"),r.embeddingsInitializer=at(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=st(e.embeddingsRegularizer),r.activityRegularizer=st(e.activityRegularizer),r.embeddingsConstraint=At(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,r){var i=this;return v.tidy(function(){return i.maskZero?(e=Oe(e),v.notEqual(e,v.zerosLike(e))):null})},t.prototype.computeOutputShape=function(e){if(e=Xe(e),this.inputLength==null)return e.concat([this.outputDim]);var r=nt(this.inputLength);if(r.length!==e.length-1)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));for(var i=0,a=0;a<r.length;++a){var s=r[a],o=e[a+1];if(s!=null&&o!=null&&s!==o)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));s==null&&(r[i]=o),i++}return[e[0]].concat(r,[this.outputDim])},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);a.dtype!=="int32"&&(a=Pa(a,"int32"));var s=my(i.embeddings.read(),a.as1D());return s.reshape(Xe(i.computeOutputShape(a.shape)))})},t.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:lt(this.embeddingsInitializer),embeddingsRegularizer:Je(this.embeddingsRegularizer),activityRegularizer:Je(this.activityRegularizer),embeddingsConstraint:It(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Embedding",t}(Fe);v.serialization.registerClass(zv);var si=function(n){Q(t,n);function t(e){var r=n.call(this,e||{})||this;return r.supportsMasking=!0,r}return t.prototype.mergeFunction=function(e){throw new Re},t.prototype.computeElementwiseOpOutputShape=function(e,r){if(e==null||r==null)return null;if(e.length<r.length)return this.computeElementwiseOpOutputShape(r,e);if(r.length===0)return e;for(var i=e.slice(0,e.length-r.length),a=0;a<r.length;++a){var s=e[e.length-r.length+a],o=r[a];if(s==null||o==null||s<0||o<0)i.push(null);else if(s===1)i.push(o);else if(o===1)i.push(s);else{if(s!==o)throw new M("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(r));i.push(s)}}return i},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Xe(e)]),e=e,e.length<2)throw new M("A merge layer should be called on an Array of at least 2 inputs."+(" Got "+e.length+" input(s)."));for(var r=[],i=0,a=e;i<a.length;i++){var s=a[i];s!=null&&s[0]!==null&&r.push(s[0])}if(r=wr(r),r.length>1)throw new M("Can not merge tensors with different batch sizes. 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Got input shapes: "+JSON.stringify(e))},t.prototype.mergeFunction=function(e){var r=this;return v.tidy(function(){return Rh(e,r.axis)})},t.prototype.computeOutputShape=function(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new M("A `Concatenate` layer should be called on a list of inputs.");for(var r=e,i=r[0].slice(),a=this.axis<0?i.length+this.axis:this.axis,s=0,o=r.slice(1);s<o.length;s++){var c=o[s];if(i[a]==null||c[a]==null){i[a]=null;break}i[a]+=c[a]}return i},t.prototype.computeMask=function(e,r){var i=this;if(r==null)return null;if(!Array.isArray(r))throw new M("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new M("`inputs` should be an array for Concatenate");if(r.length!==e.length)throw new M("Mismatch in the length of mask ("+r.length+") "+("and the legnth of inputs ("+e.length+")"));return v.tidy(function(){var a=!0;if(r.forEach(function(l){if(l!=null){a=!1;return}}),a)return null;for(var s=[],o=0;o<e.length;++o)r[o]==null?s.push(v.onesLike(e[o]).asType("bool")):r[o].rank<e[o].rank?s.push(v.expandDims(r[o],-1)):s.push(r[o]);var c=v.concat(s,i.axis);return v.all(c,-1,!1)})},t.prototype.getConfig=function(){var e={axis:this.axis},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Concatenate",t}(si);v.serialization.registerClass(qv);function $a(n,t){for(;n<0;)n+=t;return n}function Y7(n,t,e){if(n.shape.length>3||t.shape.length>3)throw new Re("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, "+("but got "+n.shape.length)}),v.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, "+("but got "+t.shape.length)}),typeof e=="number"&&(e=[e,e]),n.dtype==="complex64"||t.dtype==="complex64")throw new Re("batchDot is not implemented for complex64-type Tensors yet.");var r=n.shape.length,i=t.shape.length;e==null&&(e=[r-1,i-2]);var a=e;return v.tidy(function(){var s;if(r>i){s=r-i;for(var o=[],c=0;c<s;++c)o.push(1);t=t.reshape(t.shape.concat(o))}else if(i>r){s=i-r;for(var o=[],c=0;c<s;++c)o.push(1);n=n.reshape(n.shape.concat(o))}else s=0;var l;if(n.shape.length===2&&t.shape.length===2)a[0]===a[1]?l=n.mul(t).sum(a[0]):l=n.transpose([1,0]).mul(t).sum(a[1]);else{var u=a[0]!==n.shape.length-1,h=a[1]===t.shape.length-1;l=n.matMul(t,u,h)}if(s>0){var d=void 0;r>i?d=r+i-3:d=r-1;for(var p=[],c=d;c<d+s;++c)p.push(c);l=l.squeeze(p)}return l.shape.length===1&&(l=l.expandDims(1)),l})}var Yv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.axes=e.axes,r.normalize=e.normalize==null?!1:e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return t.prototype.build=function(e){v.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var r=e[0],i=e[1];if(r.length>3||i.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(r,i);if(r[a[0]]!==i[a[1]])throw new M("Dimension incompatibility: "+(r[a[0]]+" !== "+i[a[1]]))},t.prototype.mergeFunction=function(e){if(e.length!==2)throw new M("A `Dot` layer must be called on exactly 2 inputs, "+("but received "+e.length+" input(s)."));var r=e[0],i=e[1],a;return Array.isArray(this.axes)?a=this.axes.map(function(s,o){return $a(s,e[o].shape.length)}):a=[$a(this.axes,r.shape.length),$a(this.axes,i.shape.length)],this.normalize&&(r=So(r,a[0]),i=So(i,a[1])),Y7(r,i,a)},t.prototype.interpretAxes=function(e,r){var i;return Array.isArray(this.axes)?i=this.axes:i=[$a(this.axes,e.length),$a(this.axes,r.length)],i},t.prototype.computeOutputShape=function(e){v.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var r=e[0].slice(),i=e[1].slice();if(r.length>3||i.length>3)throw new Re("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(r,i);r.splice(a[0],1),i.splice(a[1],1),i.splice(0,1);var s=r.concat(i);return s.length===1&&s.push(1),s},t.prototype.computeMask=function(e,r){return null},t.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="Dot",t}(si);v.serialization.registerClass(Yv);var Kv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.stddev=e.stddev,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={stddev:this.stddev};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e),s=function(){return yo(a.shape,0,i.stddev).add(a)},o=Va(s,function(){return a},r.training||!1);return o})},t.className="GaussianNoise",t}(Fe);v.serialization.registerClass(Kv);var jv=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.rate=e.rate,r}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={rate:this.rate};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r);var a=Oe(e);if(i.rate>0&&i.rate<1){var s=function(){var o=Math.sqrt(i.rate/(1-i.rate));return a.mul(yo(a.shape,1,o))};return Va(s,function(){return a},r.training||!1)}return a})},t.className="GaussianDropout",t}(Fe);v.serialization.registerClass(jv);var $v=function(n){Q(t,n);function t(e){var r=n.call(this,e)||this;return r.supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return t.prototype._getNoiseShape=function(e){return this.noiseShape||Oe(e).shape},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),r={rate:this.rate};return Object.assign(r,e),r},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){if(i.rate<1&&i.rate>0){var a=i._getNoiseShape(e),s=function(){var o=Oe(e),c=1.6732632423543772,l=1.0507009873554805,u=-c*l,h=v.greaterEqual(v.randomUniform(a),i.rate);h=Pa(h,"float32");var d=Math.pow((1-i.rate)*(1+i.rate*Math.pow(u,2)),-.5),p=-d*u*i.rate,f=o.mul(h).add(h.add(-1).mul(u));return f.mul(d).add(p)};return Va(s,function(){return Oe(e)},r.training||!1)}return e})},t.className="AlphaDropout",t}(Fe);v.serialization.registerClass($v);function Xa(n,t,e,r,i,a){a===void 0&&(a=.001);var s;if(n.rank===2)s=v.batchNorm2d(n,t,e,r,i,a);else if(n.rank===3)s=v.batchNorm3d(n,t,e,r,i,a);else if(n.rank===4)s=v.batchNorm4d(n,t,e,r,i,a);else throw new Re("batchNormalization is not implemented for array of rank "+n.rank+" yet");return s}function K7(n,t,e,r,i){return i===void 0&&(i=.001),v.tidy(function(){var a=v.moments(n,r),s=a.mean,o=a.variance,c=Xa(n,s,o,e,t,i);return[c,s,o]})}function j7(n,t,e,r,i){return i===void 0&&(i=.001),v.tidy(function(){for(var a=v.moments(n,r),s=a.mean,o=a.variance,c=[],l=0,u=bn(0,n.rank);l<u.length;l++){var h=u[l];r.indexOf(h)!==-1?c.push(1):c.push(n.shape[h])}var d=s.reshape(c),p=o.reshape(c),f=t==null?null:t.reshape(c),m=e==null?null:e.reshape(c),g=Xa(n,d,p,m,f,i);return[g,s,o]})}function $7(n,t,e,r,i){return i===void 0&&(i=.001),v.util.arraysEqual(r.slice().sort(),bn(0,n.rank-1))?K7(n,t,e,r,i):j7(n,t,e,r,i)}var Xv=function(n){Q(t,n);function t(e){var r=this;return e==null&&(e={}),r=n.call(this,e)||this,r.supportsMasking=!0,r.axis=e.axis==null?-1:e.axis,r.momentum=e.momentum==null?.99:e.momentum,r.epsilon=e.epsilon==null?.001:e.epsilon,r.center=e.center==null?!0:e.center,r.scale=e.scale==null?!0:e.scale,r.betaInitializer=at(e.betaInitializer||"zeros"),r.gammaInitializer=at(e.gammaInitializer||"ones"),r.movingMeanInitializer=at(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=at(e.movingVarianceInitializer||"ones"),r.betaConstraint=At(e.betaConstraint),r.gammaConstraint=At(e.gammaConstraint),r.betaRegularizer=st(e.betaRegularizer),r.gammaRegularizer=st(e.gammaRegularizer),r}return t.prototype.build=function(e){var r;e=Xe(e);var i=this.axis>=0?this.axis:this.axis+e.length,a=e[i];if(a==null)throw new M("Axis "+i+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(e)+"."));this.inputSpec=[new Ct({ndim:e.length,axes:(r={},r[i]=a,r)})];var s=[a];this.scale&&(this.gamma=this.addWeight("gamma",s,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",s,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",s,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",s,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){var a=r.training==null?!1:r.training,s=Oe(e),o=s.shape,c=o.length,l=bn(0,c),u=i.axis>=0?i.axis:i.axis+c;l.splice(u,1);var h=ei(1,c);h[u]=o[u];var d=l.slice();d.sort();var p=!v.util.arraysEqual(d,bn(0,c).slice(0,c-1)),f=function(){if(p){var x=i.movingMean.read().reshape(h),N=i.movingVariance.read().reshape(h),I=i.center?i.beta.read().reshape(h):null,C=i.scale?i.gamma.read().reshape(h):null;return Xa(s,x,N,I,C,i.epsilon)}else return Xa(s,i.movingMean.read(),i.movingVariance.read(),i.beta==null?null:i.beta.read(),i.gamma==null?null:i.gamma.read(),i.epsilon)};if(!a)return f();var m=$7(s,i.gamma.read(),i.beta.read(),l,i.epsilon),g=m[0],y=m[1],w=m[2],b=function(x,N,I){v.tidy(function(){var C=1-I,O=x.read(),D=O.sub(N).mul(C);x.write(O.sub(D))})},L=function(){b(i.movingMean,y,i.momentum),b(i.movingVariance,w,i.momentum)};return L(),g})},t.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:lt(this.betaInitializer),gammaInitializer:lt(this.gammaInitializer),movingMeanInitializer:lt(this.movingMeanInitializer),movingVarianceInitializer:lt(this.movingVarianceInitializer),betaRegularizer:Je(this.betaRegularizer),gammaRegularizer:Je(this.gammaRegularizer),betaConstraint:It(this.betaConstraint),gammaConstraint:It(this.gammaConstraint)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="BatchNormalization",t}(Fe);v.serialization.registerClass(Xv);var Jv=function(n){Q(t,n);function t(e){var r=this;if(e==null&&(e={}),r=n.call(this,e)||this,r.axis=e.axis==null?-1:e.axis,typeof r.axis=="number"){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received "+r.axis)}else if(Array.isArray(r.axis))for(var i=0,a=r.axis;i<a.length;i++){var s=a[i];if(!Number.isInteger(s))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(r.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(r.axis)));return r.epsilon=e.epsilon==null?.001:e.epsilon,r.center=e.center==null?!0:e.center,r.scale=e.scale==null?!0:e.scale,r.betaInitializer=at(e.betaInitializer||"zeros"),r.gammaInitializer=at(e.gammaInitializer||"ones"),r.betaRegularizer=st(e.betaRegularizer),r.gammaRegularizer=st(e.gammaRegularizer),r.supportsMasking=!0,r}return t.prototype.build=function(e){e=Xe(e);var r=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(var i=0;i<this.axis.length;++i)this.axis[i]<0&&(this.axis[i]+=r);for(var a=0,s=this.axis;a<s.length;a++){var o=s[a];if(o<0||o>=r)throw new Error("Invalid axis: "+o)}if(this.axis.length!==wr(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var c=this.axis.map(function(u){return e[u]}),l=!0;this.scale?this.gamma=this.addWeight("gamma",c,"float32",this.gammaInitializer,this.gammaRegularizer,l):this.gamma=null,this.center?this.beta=this.addWeight("beta",c,"float32",this.betaInitializer,this.betaRegularizer,l):this.beta=null,this.built=!0},t.prototype.call=function(e,r){var i=this,a=Oe(e),s=a.shape,o=s.length;return v.tidy(function(){for(var c=!0,l=v.moments(a,i.axis,c),u=l.mean,h=l.variance,d=ei(1,o),p=0,f=i.axis;p<f.length;p++){var m=f[p];d[m]=s[m]}for(var g=function(N){return N!=null&&N.shape.length!==o&&i.axis!==[o-1]?N.reshape(d):N},y=g(i.gamma.read()),w=g(i.beta.read()),b=[],L=[],x=0;x<o;++x)i.axis.indexOf(x)!==-1?(b.push(s[x]),L.push(1)):(b.push(1),L.push(s[x]));return u=u.tile(b),h=h.tile(b),y=y.tile(L),w=w.tile(L),Xa(a,u,h,w,y,i.epsilon)})},t.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:lt(this.betaInitializer),gammaInitializer:lt(this.gammaInitializer),betaRegularizer:Je(this.betaRegularizer),gammaRegularizer:Je(this.gammaRegularizer)},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="LayerNormalization",t}(Fe);v.serialization.registerClass(Jv);function X7(n,t,e){return v.tidy(function(){if(n.rank!==4)throw new M("temporalPadding expects input tensor to be 4-D, but received a "+(n.rank+"-D tensor."));if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new M("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=wn()),e!=="channelsLast"&&e!=="channelsFirst")throw new M("Unknown data format: "+e+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return e==="channelsFirst"?r=[[0,0],[0,0],t[0],t[1]]:r=[[0,0],t[0],t[1],[0,0]],v.pad(n,r)})}var Zv=function(n){Q(t,n);function t(e){var r=this;if(e==null&&(e={}),r=n.call(this,e)||this,r.dataFormat=e.dataFormat==null?wn():e.dataFormat,e.padding==null)r.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new M("ZeroPadding2D expects padding to be a length-2 array, but "+("received a length-"+e.padding.length+" array."));var i=void 0,a=void 0;if(typeof e.padding[0]=="number")i=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new M("ZeroPadding2D expects height padding to be a length-2 array, "+("but received a length-"+e.padding[0].length+" array."));if(i=e.padding[0],e.padding[1].length!==2)throw new M("ZeroPadding2D expects width padding to be a length-2 array, "+("but received a length-"+e.padding[1].length+" array."));a=e.padding[1]}r.padding=[i,a]}return r.inputSpec=[new Ct({ndim:4})],r}return t.prototype.computeOutputShape=function(e){e=Xe(e);var r,i;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?r=e[2]+this.padding[0][0]+this.padding[0][1]:r=null,e[3]!=null&&e[3]>=0?i=e[3]+this.padding[1][0]+this.padding[1][1]:i=null,[e[0],e[1],r,i]):(e[1]!=null&&e[1]>=0?r=e[1]+this.padding[0][0]+this.padding[0][1]:r=null,e[2]!=null&&e[2]>=0?i=e[2]+this.padding[1][0]+this.padding[1][1]:i=null,[e[0],r,i,e[3]])},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return X7(Oe(e),i.padding,i.dataFormat)})},t.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t.className="ZeroPadding2D",t}(Fe);v.serialization.registerClass(Zv);function Fo(n,t,e,r,i,a){return v.tidy(function(){gt(i),cy(a),sn(r),e==null&&(e=[1,1]),r==null&&(r="valid"),i==null&&(i=wn()),a==null&&(a="max"),n=id(n,i);var s,o=r==="same"?"same":"valid";return a==="max"?s=v.maxPool(n,t,e,o):s=v.avgPool(n,t,e,o),i==="channelsFirst"&&(s=v.transpose(s,[0,3,1,2])),s})}function Qv(n,t,e,r,i,a){return v.tidy(function(){gt(i),cy(a),sn(r),e==null&&(e=[1,1,1]),r==null&&(r="valid"),i==null&&(i=wn()),a==null&&(a="max"),n=mv(n,i);var s,o=r==="same"?"same":"valid";return a==="max"?s=v.maxPool3d(n,t,e,o):s=v.avgPool3d(n,t,e,o),i==="channelsFirst"&&(s=v.transpose(s,[0,4,1,2,3])),s})}var e1=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=2),r=n.call(this,e)||this,typeof e.poolSize=="number")r.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")r.poolSize=e.poolSize;else throw new M("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.poolSize)));if(_t(r.poolSize,"poolSize"),e.strides==null)r.strides=r.poolSize;else if(typeof e.strides=="number")r.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")r.strides=e.strides;else throw new M("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.strides)));return _t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,sn(r.padding),r.inputSpec=[new Ct({ndim:3})],r}return t.prototype.computeOutputShape=function(e){e=Xe(e);var r=Sn(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],r,e[2]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){i.invokeCallHook(e,r),e=Ma(Oe(e),2);var a=i.poolingFunction(Oe(e),[i.poolSize[0],1],[i.strides[0],1],i.padding,"channelsLast");return v.squeeze(a,[2])})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),t1=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return gt(s),sn(a),Fo(e,r,i,a,s,"max")},t.className="MaxPooling1D",t}(e1);v.serialization.registerClass(t1);var n1=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return gt(s),sn(a),Fo(e,r,i,a,s,"avg")},t.className="AveragePooling1D",t}(e1);v.serialization.registerClass(n1);var r1=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=[2,2]),r=n.call(this,e)||this,r.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new M("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+(e.strides.length+"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return _t(r.poolSize,"poolSize"),_t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,gt(r.dataFormat),sn(r.padding),r.inputSpec=[new Ct({ndim:4})],r}return t.prototype.computeOutputShape=function(e){e=Xe(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2];return r=Sn(r,this.poolSize[0],this.padding,this.strides[0]),i=Sn(i,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],r,i]:[e[0],r,i,e[3]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return i.invokeCallHook(e,r),i.poolingFunction(Oe(e),i.poolSize,i.strides,i.padding,i.dataFormat)})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},r=n.prototype.getConfig.call(this);return Object.assign(e,r),e},t}(Fe),i1=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return gt(s),sn(a),Fo(e,r,i,a,s,"max")},t.className="MaxPooling2D",t}(r1);v.serialization.registerClass(i1);var a1=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,r,i,a,s){return gt(s),sn(a),Fo(e,r,i,a,s,"avg")},t.className="AveragePooling2D",t}(r1);v.serialization.registerClass(a1);var s1=function(n){Q(t,n);function t(e){var r=this;if(e.poolSize==null&&(e.poolSize=[2,2,2]),r=n.call(this,e)||this,r.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new M("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+(e.strides.length+"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return _t(r.poolSize,"poolSize"),_t(r.strides,"strides"),r.padding=e.padding==null?"valid":e.padding,r.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,gt(r.dataFormat),sn(r.padding),r.inputSpec=[new Ct({ndim:5})],r}return t.prototype.computeOutputShape=function(e){e=Xe(e);var r=this.dataFormat==="channelsFirst"?e[2]:e[1],i=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return r=Sn(r,this.poolSize[0],this.padding,this.strides[0]),i=Sn(i,this.poolSize[1],this.padding,this.strides[1]),a=Sn(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],r,i,a]:[e[0],r,i,a,e[4]]},t.prototype.call=function(e,r){var i=this;return v.tidy(function(){return 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e=this,r=t.nodeDef,i=[],a=[],s={};r!=null&&(s=r.reduce(function(d,p){return d[p.name]=e.mapNode(p),p.op==="Const"&&a.push(d[p.name]),d},{}));var o=[],c=[];t.signature.inputArg.forEach(function(d){var p=yt(Qn(d.name),1),f=p[0],m={name:f,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:vd(d.type),type:"dtype"}},children:[]};m.signatureKey=d.name,o.push(m),s[f]=m});var l=Object.keys(s);l.forEach(function(d){var p=s[d];p.inputNames.forEach(function(f){var m=yt(Qn(f),1),g=m[0];p.inputs.push(s[g]),s[g].children.push(p)})});var u=t.ret;t.signature.outputArg.forEach(function(d){var p=yt(Qn(u[d.name]),2),f=p[0],m=p[1],g=s[f];g!=null&&(g.defaultOutput=m,c.push(g))});var h=this.mapArgsToSignature(t);return{nodes:s,inputs:o,outputs:c,weights:a,placeholders:i,signature:h}},n.prototype.mapArgsToSignature=function(t){var e=this;return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce(function(r,i){return r[i.name]=e.mapArgToTensorInfo(i),r},{}),outputs:t.signature.outputArg.reduce(function(r,i){return r[i.name]=e.mapArgToTensorInfo(i,t.ret),r},{})}},n.prototype.mapArgToTensorInfo=function(t,e){var r=t.name;return e!=null&&(r=e[r]),{name:r,dtype:t.type}},n}();function mk(n){var t=W.env().global;if(typeof t.atob!="undefined")return t.atob(n);if(typeof Buffer!="undefined")return new Buffer(n,"base64").toString();throw new Error("Unable to decode base64 in this environment. 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t.size=="number"?t.size:parseInt(t.size,10)}):[]}function xd(n,t,e){var r=n[t];return r&&r.shape?E1(r.shape):e}function Ld(n,t,e){var r=n[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(i){return typeof i=="number"?i:parseInt(i,10)}):e}function Sd(n,t,e,r){r===void 0&&(r=!1);var i=n[t];return i&&i.list&&i.list.s?i.list.s.map(function(a){return O1(a,r)}):e}function Id(n,t,e){var r=n[t];return r&&r.list&&r.list.shape?r.list.shape.map(function(i){return E1(i)}):e}function Ad(n,t,e){var r=n[t];return r&&r.list&&r.list.b?r.list.b:e}var gk=function(){function n(t,e,r){var i=this;this.node=t,this.tensorMap=e,this.context=r,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(a){return i.getInput(a)}),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(a,s){return a[s]=i.getAttr(s),a},{}))}return n.prototype.getInput=function(t){return Gt(t,this.tensorMap,this.context)},n.prototype.getAttr=function(t,e){var r=this.node.rawAttrs[t];if(r.tensor!=null)return Gt(t,this.tensorMap,this.context);if(r.i!=null||r.f!=null)return yd(this.node.rawAttrs,t,e);if(r.s!=null)return md(this.node.rawAttrs,t,e);if(r.b!=null)return gd(this.node.rawAttrs,t,e);if(r.shape!=null)return xd(this.node.rawAttrs,t,e);if(r.type!=null)return wd(this.node.rawAttrs,t,e);if(r.list!=null){if(r.list.i!=null||r.list.f!=null)return Ld(this.node.rawAttrs,t,e);if(r.list.s!=null)return Sd(this.node.rawAttrs,t,e);if(r.list.shape!=null)return Id(this.node.rawAttrs,t,e);if(r.list.b!=null)return Ad(this.node.rawAttrs,t,e);if(r.list.type!=null)return bd(this.node.rawAttrs,t,e)}return e},n}();var yk=function(n,t,e){switch(n.op){case"BiasAdd":case"AddV2":case"Add":return[W.add(T("a",n,t,e),T("b",n,t,e))];case"AddN":return[W.addN(T("tensors",n,t,e))];case"FloorMod":case"Mod":return[W.mod(T("a",n,t,e),T("b",n,t,e))];case"Mul":return[W.mul(T("a",n,t,e),T("b",n,t,e))];case"RealDiv":case"Div":return[W.div(T("a",n,t,e),T("b",n,t,e))];case"DivNoNan":return[W.divNoNan(T("a",n,t,e),T("b",n,t,e))];case"FloorDiv":return[W.floorDiv(T("a",n,t,e),T("b",n,t,e))];case"Sub":return[W.sub(T("a",n,t,e),T("b",n,t,e))];case"Minimum":return[W.minimum(T("a",n,t,e),T("b",n,t,e))];case"Maximum":return[W.maximum(T("a",n,t,e),T("b",n,t,e))];case"Pow":return[W.pow(T("a",n,t,e),T("b",n,t,e))];case"SquaredDifference":return[W.squaredDifference(T("a",n,t,e),T("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var vk=function(n,t,e){switch(n.op){case"Abs":case"ComplexAbs":return[W.abs(T("x",n,t,e))];case"Acos":return[W.acos(T("x",n,t,e))];case"Acosh":return[W.acosh(T("x",n,t,e))];case"Asin":return[W.asin(T("x",n,t,e))];case"Asinh":return[W.asinh(T("x",n,t,e))];case"Atan":return[W.atan(T("x",n,t,e))];case"Atan2":return[W.atan2(T("x",n,t,e),T("y",n,t,e))];case"Atanh":return[W.atanh(T("x",n,t,e))];case"Ceil":return[W.ceil(T("x",n,t,e))];case"Complex":return[W.complex(T("real",n,t,e),T("imag",n,t,e))];case"Cos":return[W.cos(T("x",n,t,e))];case"Cosh":return[W.cosh(T("x",n,t,e))];case"Elu":return[W.elu(T("x",n,t,e))];case"Erf":return[W.erf(T("x",n,t,e))];case"Exp":return[W.exp(T("x",n,t,e))];case"Expm1":return[W.expm1(T("x",n,t,e))];case"Floor":return[W.floor(T("x",n,t,e))];case"Log":return[W.log(T("x",n,t,e))];case"Log1p":return[W.log1p(T("x",n,t,e))];case"Imag":return[W.imag(T("x",n,t,e))];case"Neg":return[W.neg(T("x",n,t,e))];case"Reciprocal":return[W.reciprocal(T("x",n,t,e))];case"Real":return[W.real(T("x",n,t,e))];case"Relu":return[W.relu(T("x",n,t,e))];case"Round":return[W.round(T("x",n,t,e))];case"Selu":return[W.selu(T("x",n,t,e))];case"Sigmoid":return[W.sigmoid(T("x",n,t,e))];case"Sin":return[W.sin(T("x",n,t,e))];case"Sign":return[W.sign(T("x",n,t,e))];case"Sinh":return[W.sinh(T("x",n,t,e))];case"Softplus":return[W.softplus(T("x",n,t,e))];case"Sqrt":return[W.sqrt(T("x",n,t,e))];case"Square":return[W.square(T("x",n,t,e))];case"Tanh":return[W.tanh(T("x",n,t,e))];case"Tan":return[W.tan(T("x",n,t,e))];case"Relu6":case"ClipByValue":return[W.clipByValue(T("x",n,t,e),T("clipValueMin",n,t,e),T("clipValueMax",n,t,e))];case"Rsqrt":return[W.rsqrt(Gt(n.inputNames[0],t,e))];case"Prod":return[W.prod(T("x",n,t,e),T("axes",n,t,e))];case"LeakyRelu":return[W.leakyRelu(T("x",n,t,e),T("alpha",n,t,e))];case"Prelu":return[W.prelu(T("x",n,t,e),T("alpha",n,t,e))];default:throw 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Got: "+t);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error("TensorListResize input size "+t+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=t},n.prototype.getItem=function(t,e,r){if(r!==this.elementDtype)throw new Error("Invalid data types; op elements "+r+", but list elements "+this.elementDtype);if(t<0||t>this.tensors.length)throw new Error("Trying to access element "+t+" in a list with "+this.tensors.length+" elements.");if(this.tensors[t]==null)throw new Error("element at index "+t+" is null.");return dn(this.tensors[t].shape,e,"TensorList shape mismatch: "),this.tensors[t]},n.prototype.setItem=function(t,e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error("Trying to set element "+t+" in a list with max "+this.maxNumElements+" elements.");dn(this.elementShape,e.shape,"TensorList shape mismatch: "),W.keep(e),this.tensors[t]=e},n.prototype.gather=function(t,e,r){var i=this;if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);return dn(this.elementShape,r,"TensorList shape mismatch: "),t=t.slice(0,this.size()),t.length===0?W.tensor([],[0].concat(this.elementShape)):W.tidy(function(){var a=t.map(function(s){return W.reshape(i.tensors[s],r)});return W.stack(a,0)})},n.prototype.concat=function(t,e){var r=this;if(!!t&&t!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+t);return dn(this.elementShape,e,"TensorList shape mismatch: "),this.size()===0?W.tensor([],[0].concat(this.elementShape)):W.tidy(function(){var i=r.tensors.map(function(a){return W.reshape(a,e)});return W.concat(i,0)})},n}();function xk(n,t,e){var r=n.dtype;if(n.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+n.shape);if(n.dtype!==e)throw new Error("Invalid data types; op elements "+n.dtype+", but list elements "+e);var i=n.shape.slice(1);dn(i,t,"TensorList shape mismatch: ");var a=W.unstack(n);return new zo(a,t,r)}function Lk(n,t,e){return new zo([],n,t,e)}function Sk(n,t,e,r){if(t.length!==n.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+n.shape[0]);var i=Math.max.apply(Math,_r(t));if(r!=null&&r!==-1&&i>=r)throw new Error("Max index must be < array size ("+i+" vs. "+r+")");var a=new zo([],e,n.dtype,r),s=W.unstack(n,0);return t.forEach(function(o,c){a.setItem(o,s[c])}),a}function Ik(n,t,e){var r=0,i=t.map(function(l){return r+=l,r});if(r!==n.shape[0])throw new Error(`Expected sum of lengths to be equal to
tensor.shape[0], but sum of lengths is
`+r+", and tensor's shape is: "+n.shape);for(var a=r===0?0:n.size/r,s=W.tidy(function(){var l=[];n=W.reshape(n,[1,r,a]);for(var u=0;u<t.length;++u){var h=u===0?0:i[u-1],d=[0,h,0],p=[1,t[u],a];l[u]=W.reshape(W.slice(n,d,p),e)}return n.dispose(),l}),o=new zo([],e,n.dtype,t.length),c=0;c<s.length;c++)o.setItem(c,s[c]);return o}var Ak=void 0,Tk=function(n,t,e){return on(Ak,void 0,void 0,function(){var r,i,a,s,o,c,l,u,o,h,d,c,p,f,m,m,g,y,g,w,g,g,g,b,L,x,N,I,C,O,D,F,k,B,V,P,G,j,q,H,J,$,ee,te,ne,re,ie,oe,se,me,ye,we,Ee,Be,We,Ye,ze,Ie,k,B,ue,Ie,G,x,Qe,ue,te,ne,x,ft,ue,x,He,ft,ue,q,H,x,He,ue,Ie,x,He,ft,ue,Ot,x,He,ue,ie,ue,se,x,Ie,B,ue,Ie,x,Qe,ue,ye,x,we,ue;return Qt(this,function(ht){switch(ht.label){case 0:r=n.op;switch(r){case"If":return[3,1];case"StatelessIf":return[3,1];case"While":return[3,3];case"StatelessWhile":return[3,3];case"LoopCond":return[3,9];case"Switch":return[3,10];case"Merge":return[3,12];case"Enter":return[3,13];case"Exit":return[3,14];case"NextIteration":return[3,15];case"TensorArrayV3":return[3,16];case"TensorArrayWriteV3":return[3,17];case"TensorArrayReadV3":return[3,18];case"TensorArrayGatherV3":return[3,19];case"TensorArrayScatterV3":return[3,20];case"TensorArrayConcatV3":return[3,21];case"TensorArraySplitV3":return[3,22];case"TensorArraySizeV3":return[3,23];case"TensorArrayCloseV3":return[3,24];case"TensorListSetItem":return[3,25];case"TensorListGetItem":return[3,26];case"TensorListScatterV2":return[3,27];case"TensorListScatter":return[3,27];case"TensorListReserve":return[3,28];case"TensorListGather":return[3,29];case"TensorListStack":return[3,30];case"TensorListFromTensor":return[3,31];case"TensorListConcat":return[3,32];case"TensorListPushBack":return[3,33];case"TensorListPopBack":return[3,34];case"TensorListSplit":return[3,35]}return[3,36];case 1:return i=T("thenBranch",n,t,e),a=T("elseBranch",n,t,e),s=T("cond",n,t,e),o=T("args",n,t,e),[4,s.data()];case 2:return c=ht.sent(),c[0]?[2,e.functionMap[i].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)]:[2,e.functionMap[a].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 3:return l=T("body",n,t,e),u=T("cond",n,t,e),o=T("args",n,t,e),[4,e.functionMap[u].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 4:return h=ht.sent(),d=o.map(function(wt){return wt.id}),[4,h[0].data()];case 5:c=ht.sent(),h.forEach(function(wt){!wt.kept&&d.indexOf(wt.id)===-1&&wt.dispose()}),p=o,f=function(){var wt,Te,dt;return Qt(this,function(mt){switch(mt.label){case 0:return wt=p,[4,e.functionMap[l].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 1:return p=mt.sent(),Te=p.map(function(Ve){return Ve.id}),wt.forEach(function(Ve){!Ve.kept&&d.indexOf(Ve.id)===-1&&Te.indexOf(Ve.id)===-1&&Ve.dispose()}),[4,e.functionMap[u].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 2:return dt=mt.sent(),[4,dt[0].data()];case 3:return c=mt.sent(),dt.forEach(function(Ve){!Ve.kept&&d.indexOf(Ve.id)===-1&&Te.indexOf(Ve.id)===-1&&Ve.dispose()}),[2]}})},ht.label=6;case 6:return c[0]?[5,f()]:[3,8];case 7:return ht.sent(),[3,6];case 8:return[2,p];case 9:return m=T("pred",n,t,e),[2,[er(m)]];case 10:return m=T("pred",n,t,e),g=T("data",n,t,e),g.kept||(g=er(g)),[4,m.data()];case 11:return[2,ht.sent()[0]?[void 0,g]:[g,void 0]];case 12:return y=n.inputNames.find(function(wt){return Gt(wt,t,e)!==void 0}),y?(g=Gt(y,t,e),[2,[er(g)]]):[2,void 0];case 13:return w=T("frameName",n,t,e),g=T("tensor",n,t,e),e.enterFrame(w),[2,[er(g)]];case 14:return g=T("tensor",n,t,e),e.exitFrame(),[2,[er(g)]];case 15:return g=T("tensor",n,t,e),e.nextIteration(),[2,[er(g)]];case 16:return b=T("size",n,t,e),L=T("dtype",n,t,e),x=T("elementShape",n,t,e),N=T("dynamicSize",n,t,e),I=T("clearAfterRead",n,t,e),C=T("identicalElementShapes",n,t,e),O=T("name",n,t,e),D=new bk(O,L,b,x,C,N,I),e.addTensorArray(D),[2,[D.idTensor,W.scalar(1)]];case 17:return F=T("tensorArrayId",n,t,e),k=T("index",n,t,e),B=T("tensor",n,t,e),V=e.getTensorArray(F.id),V.write(k,B),[2,[V.idTensor]];case 18:return P=T("tensorArrayId",n,t,e),G=T("index",n,t,e),j=e.getTensorArray(P.id),[2,[j.read(G)]];case 19:return q=T("tensorArrayId",n,t,e),H=T("indices",n,t,e),J=T("dtype",n,t,e),$=e.getTensorArray(q.id),[2,[$.gather(H,J)]];case 20:return ee=T("tensorArrayId",n,t,e),te=T("indices",n,t,e),ne=T("tensor",n,t,e),re=e.getTensorArray(ee.id),re.scatter(te,ne),[2,[re.idTensor]];case 21:return ie=T("tensorArrayId",n,t,e),oe=e.getTensorArray(ie.id),se=T("dtype",n,t,e),[2,[oe.concat(se)]];case 22:return me=T("tensorArrayId",n,t,e),ye=T("tensor",n,t,e),we=T("lengths",n,t,e),Ee=e.getTensorArray(me.id),Ee.split(we,ye),[2,[Ee.idTensor]];case 23:return Be=T("tensorArrayId",n,t,e),We=e.getTensorArray(Be.id),[2,[W.scalar(We.size(),"int32")]];case 24:return Ye=T("tensorArrayId",n,t,e),ze=e.getTensorArray(Ye.id),ze.clearAndClose(),[2,[ze.idTensor]];case 25:return Ie=T("tensorListId",n,t,e),k=T("index",n,t,e),B=T("tensor",n,t,e),ue=e.getTensorList(Ie.id),ue.setItem(k,B),[2,[ue.idTensor]];case 26:return Ie=T("tensorListId",n,t,e),G=T("index",n,t,e),x=T("elementShape",n,t,e),Qe=T("elementDType",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.getItem(G,x,Qe)]];case 27:return te=T("indices",n,t,e),ne=T("tensor",n,t,e),x=T("elementShape",n,t,e),ft=T("numElements",n,t,e),ue=Sk(ne,te,x,ft),e.addTensorList(ue),[2,[ue.idTensor]];case 28:return x=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ft=T("numElements",n,t,e),ue=Lk(x,He,ft),e.addTensorList(ue),[2,[ue.idTensor]];case 29:return q=T("tensorListId",n,t,e),H=T("indices",n,t,e),x=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ue=e.getTensorList(q.id),[2,[ue.gather(H,He,x)]];case 30:return Ie=T("tensorListId",n,t,e),x=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ft=T("numElements",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.stack(x,He,ft)]];case 31:return Ot=T("tensor",n,t,e),x=T("elementShape",n,t,e),He=T("elementDType",n,t,e),ue=xk(Ot,x,He),e.addTensorList(ue),[2,[ue.idTensor]];case 32:return ie=T("tensorListId",n,t,e),ue=e.getTensorList(ie.id),se=T("dtype",n,t,e),x=T("elementShape",n,t,e),[2,[ue.concat(se,x)]];case 33:return Ie=T("tensorListId",n,t,e),B=T("tensor",n,t,e),ue=e.getTensorList(Ie.id),ue.pushBack(B),[2,[ue.idTensor]];case 34:return Ie=T("tensorListId",n,t,e),x=T("elementShape",n,t,e),Qe=T("elementDType",n,t,e),ue=e.getTensorList(Ie.id),[2,[ue.popBack(x,Qe)]];case 35:return ye=T("tensor",n,t,e),x=T("elementShape",n,t,e),we=T("lengths",n,t,e),ue=Ik(ye,we,x),e.addTensorList(ue),[2,[ue.idTensor]];case 36:throw TypeError("Node type "+n.op+" is not implemented")}})})};function D1(n,t,e){var r=yt(T("fusedOps",n,t,e),2),i=r[0],a=r[1],s=i==="biasadd",o=a==="prelu",c=i==="fusedbatchnorm",l=T("numArgs",n,t,e);if(s){if(o&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var u=T("strides",n,t,e),h=Bo(n,t,e),d=T("dataFormat",n,t,e).toUpperCase(),p=T("dilations",n,t,e),f=yt(T("args",n,t,e),2),m=f[0],g=f[1];return{stride:u,pad:h,dataFormat:d,dilations:p,biasArg:m,preluArg:g,activationFunc:a}}var Nk=function(n,t,e){switch(n.op){case"Conv1D":{var r=T("stride",n,t,e),i=T("pad",n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),s=T("dilation",n,t,e);return[W.conv1d(T("x",n,t,e),T("filter",n,t,e),r,i,a,s)]}case"Conv2D":{var r=T("strides",n,t,e),i=Bo(n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),o=T("dilations",n,t,e);return[W.conv2d(T("x",n,t,e),T("filter",n,t,e),[r[1],r[2]],i,a,[o[1],o[2]])]}case"_FusedConv2D":{var c=D1(n,t,e),r=c.stride,i=c.pad,a=c.dataFormat,o=c.dilations,l=c.biasArg,u=c.preluArg,h=c.activationFunc;return[W.fused.conv2d({x:T("x",n,t,e),filter:T("filter",n,t,e),strides:[r[1],r[2]],pad:i,dataFormat:a,dilations:[o[1],o[2]],bias:l,activation:h,preluActivationWeights:u})]}case"FusedDepthwiseConv2dNative":{var d=D1(n,t,e),r=d.stride,i=d.pad,a=d.dataFormat,o=d.dilations,l=d.biasArg,u=d.preluArg,h=d.activationFunc;return[W.fused.depthwiseConv2d({x:T("x",n,t,e),filter:T("filter",n,t,e),strides:[r[1],r[2]],pad:i,dataFormat:a,dilations:[o[1],o[2]],bias:l,activation:h,preluActivationWeights:u})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var p=T("outputShape",n,t,e),r=T("strides",n,t,e),i=Bo(n,t,e);return[W.conv2dTranspose(T("x",n,t,e),T("filter",n,t,e),p,[r[1],r[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var r=T("strides",n,t,e),i=Bo(n,t,e),o=T("dilations",n,t,e),a=T("dataFormat",n,t,e).toUpperCase();return[W.depthwiseConv2d(T("input",n,t,e),T("filter",n,t,e),[r[1],r[2]],i,a,[o[1],o[2]])]}case"Conv3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),a=T("dataFormat",n,t,e).toUpperCase(),o=T("dilations",n,t,e);return[W.conv3d(T("x",n,t,e),T("filter",n,t,e),[r[1],r[2],r[3]],i,a,[o[1],o[2],o[3]])]}case"AvgPool":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.avgPool(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i)]}case"MaxPool":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.maxPool(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i)]}case"MaxPoolWithArgmax":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e),m=T("includeBatchInIndex",n,t,e),g=W.maxPoolWithArgmax(T("x",n,t,e),[f[1],f[2]],[r[1],r[2]],i,m),y=g.result,w=g.indexes;return[y,w]}case"AvgPool3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.avgPool3d(T("x",n,t,e),[f[1],f[2],f[3]],[r[1],r[2],r[3]],i)]}case"MaxPool3D":{var r=T("strides",n,t,e),i=T("pad",n,t,e),f=T("kernelSize",n,t,e);return[W.maxPool3d(T("x",n,t,e),[f[1],f[2],f[3]],[r[1],r[2],r[3]],i)]}case"Dilation2D":{var b=T("strides",n,t,e),i=T("pad",n,t,e),o=T("dilations",n,t,e),L=b[1],x=b[2],N=o[1],I=o[2];return[W.dilation2d(T("x",n,t,e),T("filter",n,t,e),[L,x],i,[N,I],"NHWC")]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var _k=function(n,t,e){switch(n.op){case"Fill":{var r=T("shape",n,t,e),i=T("dtype",n,t,e),a=T("value",n,t,e);return[W.fill(r,a,i)]}case"LinSpace":{var s=T("start",n,t,e),o=T("stop",n,t,e),c=T("num",n,t,e);return[W.linspace(s,o,c)]}case"Multinomial":{var l=T("logits",n,t,e),u=T("numSamples",n,t,e),h=T("seed",n,t,e);return[W.multinomial(l,u,h)]}case"OneHot":{var d=T("indices",n,t,e),p=T("depth",n,t,e),f=T("onValue",n,t,e),m=T("offValue",n,t,e);return[W.oneHot(d,p,f,m)]}case"Ones":return[W.ones(T("shape",n,t,e),T("dtype",n,t,e))];case"OnesLike":return[W.onesLike(T("x",n,t,e))];case"RandomUniform":return[W.randomUniform(T("shape",n,t,e),T("minval",n,t,e),T("maxval",n,t,e),T("dtype",n,t,e))];case"Range":{var s=T("start",n,t,e),g=T("stop",n,t,e),y=T("step",n,t,e);return[W.range(s,g,y,T("dtype",n,t,e))]}case"TruncatedNormal":{var r=T("shape",n,t,e),w=T("mean",n,t,e),b=T("stdDev",n,t,e),h=T("seed",n,t,e);return[W.truncatedNormal(r,w,b,T("dtype",n,t,e),h)]}case"Zeros":return[W.zeros(T("shape",n,t,e),T("dtype",n,t,e))];case"ZerosLike":return[W.zerosLike(T("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Ck=void 0;function Td(n,t,e){var r=T("boxes",n,t,e),i=T("scores",n,t,e),a=T("maxOutputSize",n,t,e),s=T("iouThreshold",n,t,e),o=T("scoreThreshold",n,t,e),c=T("softNmsSigma",n,t,e);return{boxes:r,scores:i,maxOutputSize:a,iouThreshold:s,scoreThreshold:o,softNmsSigma:c}}var Rk=function(n,t,e){return on(Ck,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,a,s,o,c,l,p,h,f,a,s,o,c,l,m,h;return Qt(this,function(g){switch(g.label){case 0:r=n.op;switch(r){case"NonMaxSuppressionV5":return[3,1];case"NonMaxSuppressionV4":return[3,3];case"NonMaxSuppressionV3":return[3,5];case"NonMaxSuppressionV2":return[3,5];case"Where":return[3,7];case"ListDiff":return[3,9]}return[3,10];case 1:return i=Td(n,t,e),a=i.boxes,s=i.scores,o=i.maxOutputSize,c=i.iouThreshold,l=i.scoreThreshold,u=i.softNmsSigma,[4,W.image.nonMaxSuppressionWithScoreAsync(a,s,o,c,l,u)];case 2:return h=g.sent(),[2,[h.selectedIndices,h.selectedScores]];case 3:return d=Td(n,t,e),a=d.boxes,s=d.scores,o=d.maxOutputSize,c=d.iouThreshold,l=d.scoreThreshold,p=T("padToMaxOutputSize",n,t,e),[4,W.image.nonMaxSuppressionPaddedAsync(a,s,o,c,l,p)];case 4:return h=g.sent(),[2,[h.selectedIndices,h.validOutputs]];case 5:return f=Td(n,t,e),a=f.boxes,s=f.scores,o=f.maxOutputSize,c=f.iouThreshold,l=f.scoreThreshold,[4,W.image.nonMaxSuppressionAsync(a,s,o,c,l)];case 6:return[2,[g.sent()]];case 7:return m=W.cast(T("condition",n,t,e),"bool"),[4,W.whereAsync(m)];case 8:return h=[g.sent()],m.dispose(),[2,h];case 9:return[2,W.setdiff1dAsync(T("x",n,t,e),T("y",n,t,e))];case 10:throw TypeError("Node type "+n.op+" is not implemented")}})})};var Ok=function(n,t,e){switch(n.op){case"TopKV2":{var r=T("x",n,t,e),i=T("k",n,t,e),a=T("sorted",n,t,e),s=W.topk(r,i,a);return[s.values,s.indices]}case"Unique":{var r=T("x",n,t,e),s=W.unique(r);return[s.values,s.indices]}case"UniqueV2":{var r=T("x",n,t,e),o=T("axis",n,t,e),s=W.unique(r,o);return[s.values,s.indices]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Ek=function(n,t,e){switch(n.op){case"Const":return t[n.name];case"PlaceholderWithDefault":var r=T("default",n,t,e);return[Gt(n.name,t,e)||r];case"Placeholder":return[Gt(n.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var i=T("x",n,t,e);return[er(i)]}case"IdentityN":return T("x",n,t,e).map(function(h){return er(h)});case"Snapshot":var a=T("x",n,t,e);return[er(a)];case"Shape":return[W.tensor1d(T("x",n,t,e).shape,"int32")];case"ShapeN":return T("x",n,t,e).map(function(h){return W.tensor1d(h.shape)});case"Size":return[W.scalar(T("x",n,t,e).size,"int32")];case"Rank":return[W.scalar(T("x",n,t,e).rank,"int32")];case"NoOp":return[W.scalar(1)];case"Print":var s=T("x",n,t,e),o=T("data",n,t,e),c=T("message",n,t,e),l=T("summarize",n,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[u].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type "+n.op+" is not implemented")}},Dk=function(){function n(t,e){this.keyDType=t,this.valueDType=e,this.handle=W.scalar(0),this.tensorMap=new Map,W.keep(this.handle)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.handle.id},enumerable:!0,configurable:!0}),n.prototype.clearAndClose=function(){this.tensorMap.forEach(function(t){return t.dispose()}),this.tensorMap.clear(),this.handle.dispose()},n.prototype.size=function(){return this.tensorMap.size},n.prototype.import=function(t,e){return on(this,void 0,void 0,function(){var r,i=this;return Qt(this,function(a){switch(a.label){case 0:return this.checkKeyAndValueTensor(t,e),[4,t.data()];case 1:return r=a.sent(),this.tensorMap.forEach(function(s){return s.dispose()}),this.tensorMap.clear(),[2,W.tidy(function(){var s=W.unstack(e),o=r.length,c=s.length;W.util.assert(o===c,function(){return"The number of elements doesn't match, keys has "+(o+" elements, the values has "+c+" ")+"elements."});for(var l=0;l<o;l++){var u=r[l],h=s[l];W.keep(h),i.tensorMap.set(u,h)}return i.handle})]}})})},n.prototype.find=function(t,e){return on(this,void 0,void 0,function(){var r,i=this;return Qt(this,function(a){switch(a.label){case 0:return this.checkKeyAndValueTensor(t,e),[4,t.data()];case 1:return r=a.sent(),[2,W.tidy(function(){for(var s=[],o=0;o<r.length;o++){var c=r[o],l=i.findWithDefault(c,e);s.push(l)}return W.stack(s)})]}})})},n.prototype.findWithDefault=function(t,e){var r=this.tensorMap.get(t);return r!=null?r:e},n.prototype.checkKeyAndValueTensor=function(t,e){if(t.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+(""+t.dtype));if(e.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+(""+e.dtype))},n}();var kk=void 0,Fk=function(n,t,e,r){return on(kk,void 0,void 0,function(){var i,a,s,o,c,l,u,o,c,l,h,o;return Qt(this,function(d){switch(d.label){case 0:i=n.op;switch(i){case"HashTable":return[3,1];case"HashTableV2":return[3,1];case"LookupTableImport":return[3,2];case"LookupTableImportV2":return[3,2];case"LookupTableFind":return[3,4];case"LookupTableFindV2":return[3,4]}return[3,6];case 1:return a=T("keyDType",n,t,e),s=T("valueDType",n,t,e),o=new Dk(a,s),r.addHashTable(n.name,o),[2,[o.handle]];case 2:return c=T("tableHandle",n,t,e,r),l=T("keys",n,t,e),u=T("values",n,t,e),o=r.getHashTableById(c.id),[4,o.import(l,u)];case 3:return[2,[d.sent()]];case 4:return c=T("tableHandle",n,t,e,r),l=T("keys",n,t,e),h=T("defaultValue",n,t,e),o=r.getHashTableById(c.id),[4,o.find(l,h)];case 5:return[2,[d.sent()]];case 6:throw TypeError("Node type "+n.op+" is not implemented")}})})};var Wk=function(n,t,e){switch(n.op){case"ResizeBilinear":{var r=T("images",n,t,e),i=T("size",n,t,e),a=T("alignCorners",n,t,e);return[W.image.resizeBilinear(r,[i[0],i[1]],a)]}case"ResizeNearestNeighbor":{var r=T("images",n,t,e),i=T("size",n,t,e),a=T("alignCorners",n,t,e);return[W.image.resizeNearestNeighbor(r,[i[0],i[1]],a)]}case"CropAndResize":{var s=T("image",n,t,e),o=T("boxes",n,t,e),c=T("boxInd",n,t,e),l=T("cropSize",n,t,e),u=T("method",n,t,e),h=T("extrapolationValue",n,t,e);return[W.image.cropAndResize(s,o,c,l,u,h)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Uk=function(n,t,e){switch(n.op){case"Equal":return[W.equal(T("a",n,t,e),T("b",n,t,e))];case"NotEqual":return[W.notEqual(T("a",n,t,e),T("b",n,t,e))];case"Greater":return[W.greater(T("a",n,t,e),T("b",n,t,e))];case"GreaterEqual":return[W.greaterEqual(T("a",n,t,e),T("b",n,t,e))];case"Less":return[W.less(T("a",n,t,e),T("b",n,t,e))];case"LessEqual":return[W.lessEqual(T("a",n,t,e),T("b",n,t,e))];case"LogicalAnd":return[W.logicalAnd(T("a",n,t,e),T("b",n,t,e))];case"LogicalNot":return[W.logicalNot(T("a",n,t,e))];case"LogicalOr":return[W.logicalOr(T("a",n,t,e),T("b",n,t,e))];case"Select":case"SelectV2":return[W.where(T("condition",n,t,e),T("a",n,t,e),T("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Bk=function(n,t,e){switch(n.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[W.matMul(T("a",n,t,e),T("b",n,t,e),T("transposeA",n,t,e),T("transposeB",n,t,e))];case"Transpose":return[W.transpose(T("x",n,t,e),T("perm",n,t,e))];case"_FusedMatMul":var r=yt(T("fusedOps",n,t,e),2),i=r[0],a=r[1],s=i==="biasadd",o=a==="prelu",c=T("numArgs",n,t,e);if(s){if(o&&c!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&c!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=yt(T("args",n,t,e),2),u=l[0],h=l[1];return[W.fused.matMul({a:T("a",n,t,e),b:T("b",n,t,e),transposeA:T("transposeA",n,t,e),transposeB:T("transposeB",n,t,e),bias:u,activation:a,preluActivationWeights:h})];default:throw TypeError("Node type "+n.op+" is not implemented")}};var zk=function(n,t,e){switch(n.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[W.batchNorm(T("x",n,t,e),T("mean",n,t,e),T("variance",n,t,e),T("offset",n,t,e),T("scale",n,t,e),T("epsilon",n,t,e))];case"FusedBatchNormV3":return[W.batchNorm(T("x",n,t,e),T("mean",n,t,e),T("variance",n,t,e),T("offset",n,t,e),T("scale",n,t,e),T("epsilon",n,t,e))];case"LRN":return[W.localResponseNormalization(T("x",n,t,e),T("radius",n,t,e),T("bias",n,t,e),T("alpha",n,t,e),T("beta",n,t,e))];case"Softmax":return[W.softmax(T("x",n,t,e))];case"LogSoftmax":return[W.logSoftmax(T("x",n,t,e))];case"SparseToDense":return[W.sparseToDense(T("sparseIndices",n,t,e),T("outputShape",n,t,e),T("sparseValues",n,t,e),T("defaultValue",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Pk=function(n,t,e){switch(n.op){case"Max":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.max(T("x",n,t,e),r,i)]}case"Mean":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.mean(T("x",n,t,e),r,i)]}case"Min":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.min(T("x",n,t,e),r,i)]}case"Sum":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.sum(T("x",n,t,e),r,i)]}case"All":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.all(T("x",n,t,e),r,i)]}case"Any":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.any(T("x",n,t,e),r,i)]}case"ArgMax":{var r=T("axis",n,t,e);return[W.argMax(T("x",n,t,e),r)]}case"ArgMin":{var r=T("axis",n,t,e);return[W.argMin(T("x",n,t,e),r)]}case"Prod":{var r=T("axis",n,t,e),i=T("keepDims",n,t,e);return[W.prod(T("x",n,t,e),r,i)]}case"Cumsum":{var r=T("axis",n,t,e),a=T("exclusive",n,t,e),s=T("reverse",n,t,e);return[W.cumsum(T("x",n,t,e),r,a,s)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Mk=function(n,t,e){switch(n.op){case"ConcatV2":case"Concat":{var r=T("n",n,t,e),i=T("axis",n,t,e),a=T("tensors",n,t,e);return a=a.slice(0,r),[W.concat(a,i)]}case"GatherV2":case"Gather":{var i=T("axis",n,t,e),s=T("x",n,t,e),o=T("indices",n,t,e);return[W.gather(s,W.cast(o,"int32"),i)]}case"ReverseV2":case"Reverse":{var i=T("axis",n,t,e),s=T("x",n,t,e);return[W.reverse(s,i)]}case"Slice":{var c=T("begin",n,t,e),l=T("size",n,t,e);return[W.slice(T("x",n,t,e),c,l)]}case"StridedSlice":{var c=T("begin",n,t,e),u=T("end",n,t,e),h=T("strides",n,t,e),d=T("beginMask",n,t,e),p=T("endMask",n,t,e),f=T("ellipsisMask",n,t,e),m=T("newAxisMask",n,t,e),g=T("shrinkAxisMask",n,t,e),y=T("x",n,t,e);return[W.stridedSlice(y,c,u,h,d,p,f,m,g)]}case"Pack":return W.tidy(function(){var O=T("axis",n,t,e),D=T("tensors",n,t,e),F=D[0].shape,k=W.squeeze(D[0]).shape,B=D.map(function(V){var P=W.util.arraysEqual(V.shape,F);if(!P&&!W.util.arraysEqual(W.squeeze(V).shape,k))throw new Error("the input tensors shape does not match");return P?V:W.reshape(V,F)});return[W.stack(B,O)]});case"Unpack":{var i=T("axis",n,t,e),y=T("tensor",n,t,e);return W.unstack(y,i)}case"Tile":{var w=T("reps",n,t,e);return[W.tile(T("x",n,t,e),w)]}case"Split":case"SplitV":{var i=T("axis",n,t,e),b=T("numOrSizeSplits",n,t,e),y=T("x",n,t,e);return W.split(y,b,i)}case"ScatterNd":{var o=T("indices",n,t,e),L=T("values",n,t,e),x=T("shape",n,t,e);return[W.scatterND(o,L,x)]}case"GatherNd":{var N=T("x",n,t,e),o=T("indices",n,t,e);return[W.gatherND(N,o)]}case"SparseToDense":{var o=T("sparseIndices",n,t,e),x=T("outputShape",n,t,e),I=T("sparseValues",n,t,e),C=T("defaultValue",n,t,e);return[W.sparseToDense(o,I,x,I.dtype===C.dtype?C:W.cast(C,I.dtype))]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var Hk=function(n,t,e){switch(n.op){case"FFT":return[W.fft(T("x",n,t,e))];case"IFFT":return[W.ifft(T("x",n,t,e))];case"RFFT":return[W.rfft(T("x",n,t,e))];case"IRFFT":return[W.irfft(T("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var Vk=function(n,t,e){switch(n.op){case"Cast":return[W.cast(T("x",n,t,e),T("dtype",n,t,e))];case"ExpandDims":{var r=T("axis",n,t,e);return[W.expandDims(T("x",n,t,e),r)]}case"Squeeze":{var r=T("axis",n,t,e);return[W.squeeze(T("x",n,t,e),r)]}case"Reshape":return[W.reshape(T("x",n,t,e),T("shape",n,t,e))];case"MirrorPad":return[W.mirrorPad(T("x",n,t,e),T("padding",n,t,e),T("mode",n,t,e))];case"PadV2":case"Pad":return[W.pad(T("x",n,t,e),T("padding",n,t,e),T("constantValue",n,t,e))];case"SpaceToBatchND":{var i=T("blockShape",n,t,e),a=T("paddings",n,t,e);return[W.spaceToBatchND(T("x",n,t,e),i,a)]}case"BatchToSpaceND":{var i=T("blockShape",n,t,e),s=T("crops",n,t,e);return[W.batchToSpaceND(T("x",n,t,e),i,s)]}case"DepthToSpace":{var o=T("blockSize",n,t,e),c=T("dataFormat",n,t,e).toUpperCase();return[W.depthToSpace(T("x",n,t,e),o,c)]}case"BroadcastTo":return[W.broadcastTo(T("x",n,t,e),T("shape",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function k1(n,t,e,r){var i=function(a,s,o){switch(a.category){case"arithmetic":return W.tidy(function(){return yk(a,s,o)});case"basic_math":return W.tidy(function(){return vk(a,s,o)});case"control":return Tk(a,s,o);case"convolution":return W.tidy(function(){return Nk(a,s,o)});case"creation":return W.tidy(function(){return _k(a,s,o)});case"dynamic":return Rk(a,s,o);case"evaluation":return W.tidy(function(){return Ok(a,s,o)});case"image":return W.tidy(function(){return Wk(a,s,o)});case"graph":return W.tidy(function(){return Ek(a,s,o)});case"logical":return W.tidy(function(){return Uk(a,s,o)});case"matrices":return W.tidy(function(){return Bk(a,s,o)});case"normalization":return W.tidy(function(){return zk(a,s,o)});case"reduction":return W.tidy(function(){return Pk(a,s,o)});case"slice_join":return W.tidy(function(){return Mk(a,s,o)});case"spectral":return W.tidy(function(){return Hk(a,s,o)});case"transformation":return W.tidy(function(){return Vk(a,s,o)});case"hash_table":return Fk(a,s,o,r);case"custom":var c=_1(a.op);if(c&&c.customExecutor)return c.customExecutor(new gk(a,s,o));throw TypeError("Custom op "+a.op+" is not registered.");default:throw TypeError("Unknown op '"+a.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(n,t,e);return W.util.isPromise(i)?i.then(function(a){return[].concat(a)}):[].concat(i)}var F1=function(){function n(t,e,r,i){t===void 0&&(t={}),e===void 0&&(e={}),r===void 0&&(r={}),i===void 0&&(i={}),this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=r,this.functionMap=i,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return n.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(n.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),n.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var r=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(r))}t.push(""),this._currentContextIds=t},n.prototype.contextIdforContexts=function(t){return t?t.map(function(e){return e.id===0&&e.iterationId===0?"":e.frameName+"-"+e.iterationId}).join("/"):""},n.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},n.prototype.exitFrame=function(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")},n.prototype.nextIteration=function(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;var t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")},n.prototype.getWeight=function(t){return this.weightMap[t]},n.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},n.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},n.prototype.addTensorList=function(t){this.tensorListMap[t.id]=t},n.prototype.getTensorList=function(t){return this.tensorListMap[t]},n.prototype.dispose=function(t){for(var e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(var e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)},n}();function U1(n,t,e,r){var i=new Set,a=[],s=null,o=null,c=new Set,l=Object.keys(n).map(function(p){return en(p)[0]}),u=[];r!=null&&(u=r.map(function(p){return en(p.name)[0]}));for(var h=_r(t);h.length>0;){var d=h.pop();if((W1(d)||Gk(d)||qk(d))&&(s==null&&(s=d,o=s.children.map(function(p){return p.name}).filter(function(p){return i.has(p)}))),i.add(d.name),e[d.name]!=null)continue;if(l.indexOf(d.name)!==-1)continue;if(u.indexOf(d.name)!==-1)continue;if(d.inputs.length===0){a.push(d.name);continue}d.inputs.forEach(function(p){if(c.has(p.name))return;c.add(p.name),h.push(p)})}return{inputs:n,outputs:t,usedNodes:i,missingInputs:a,dynamicNode:s,syncInputs:o}}function Yk(n,t,e){var r=e.usedNodes,i=e.inputs,a=[],s=Object.keys(i).map(function(h){return en(h)[0]}).map(function(h){return n.nodes[h]}),o=n.initNodes;s.forEach(function(h){r.has(h.name)&&a.push(h)}),n.weights.forEach(function(h){r.has(h.name)&&a.push(h)}),o!=null&&o.forEach(function(h){r.has(h.name)&&a.push(h)});for(var c=new Set,l=[];a.length>0;){var u=a.pop();c.add(u.name),t[u.name]||l.push(u),u.children.forEach(function(h){!c.has(h.name)&&r.has(h.name)&&h.inputs.every(function(d){return c.has(d.name)})&&a.push(h)})}return l}var Kk=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],jk=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],$k=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function W1(n){return Kk.indexOf(n.op)>=0}function Gk(n){return jk.indexOf(n.op)>=0}function qk(n){return $k.indexOf(n.op)>=0}var B1=function(){function n(t,e){var r=this;this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(function(i){r._functionExecutorMap[i]=new n(t.functions[i],r)})}return Object.defineProperty(n.prototype,"weightIds",{get:function(){return this.parent?this.parent.weightIds:this._weightIds},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functionExecutorMap",{get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"weightMap",{get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(t){var e=Object.keys(t).map(function(r){return t[r].map(function(i){return i.id})});this._weightIds=[].concat.apply([],_r(e)),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"resourceManager",{set:function(t){this._resourceManager=t},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputs",{get:function(){return this._inputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputNodes",{get:function(){return this._inputs.map(function(t){return t.signatureKey||t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputNodes",{get:function(){return this._outputs.map(function(t){var e=t.signatureKey||t.name;return t.defaultOutput?e+":"+t.defaultOutput:e})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functions",{get:function(){var t=this;return Object.keys(this._functions).reduce(function(e,r){return e[r]=t._functions[r].signature,e},{})},enumerable:!0,configurable:!0}),n.prototype.getCompilationKey=function(t,e){var r=t.map(function(a){return a.name}).sort(),i=e.map(function(a){return a.name}).sort();return r.join(this.SEPERATOR)+"--"+i.join(this.SEPERATOR)},n.prototype.compile=function(t,e){var r=U1(t,e,this.weightMap,this._initNodes),i=r.missingInputs,a=r.dynamicNode,s=r.syncInputs;if(a!=null)throw new Error("This execution contains the node '"+a.name+"', which has "+("the dynamic op '"+a.op+"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+("dynamic ops, specify the inputs ["+s+"]"));if(i.length>0){var o=e.map(function(l){return l.name}),c=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs "+("["+c+"]. Missing the following inputs: ["+i+"]"))}return Yk(this.graph,this.weightMap,r)},n.prototype.execute=function(t,e){var r=this;t=this.mapInputs(t);var i=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var a=i.map(function(d){return r.graph.nodes[en(d)[0]]}),s=e.map(function(d){return en(d)[0]}),o=s.map(function(d){return r.graph.nodes[d]});o.length===0&&(o=this._outputs);var c=this.getCompilationKey(a,o),l=this.compiledMap.get(c);l==null&&(l=this.compile(t,o),this.compiledMap.set(c,l));var u={},h={};return W.tidy(function(){var d=new F1(r.weightMap,u,h,r.functionExecutorMap),p=T1({},r.weightMap);Object.keys(t).forEach(function(b){var L=yt(en(b),2),x=L[0],N=L[1],I=[];I[N]=t[b],p[x]=I});for(var f=r.getFrozenTensorIds(p),m={},g=0;g<l.length;g++){var y=l[g];if(!p[y.name]){var w=k1(y,p,d,r._resourceManager);if(W.util.isPromise(w))throw new Error("The execution of the op '"+y.op+"' returned a promise. Please use model.executeAsync() instead.");p[y.name]=w,r.checkTensorForDisposal(y.name,y,p,d,f,s,m)}}return r.parent==null&&d.dispose(f),e.map(function(b){return Gt(b,p,d)})})},n.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(r){return t[r]}).map(function(r){return r.map(function(i){return i.id})}));return new Set(e)},n.prototype.checkTensorForDisposal=function(t,e,r,i,a,s,o){if(e.category==="control"||s.indexOf(t)!==-1)return;r[t].forEach(function(c){c!=null&&(o[c.id]=(o[c.id]||0)+e.children.length)}),e.inputs.forEach(function(c){if(c.category!=="control"){var l=kD(c.name,r,i);l!=null&&l.forEach(function(u){if(u&&!a.has(u.id)){var h=o[u.id];h===1?(u.dispose(),delete o[u.id]):h!=null&&o[u.id]--}})}})},n.prototype.executeAsync=function(t,e){return on(this,void 0,void 0,function(){return Qt(this,function(r){return[2,this._executeAsync(t,e)]})})},n.prototype._executeAsync=function(t,e,r,i,a){return r===void 0&&(r=!1),i===void 0&&(i={}),a===void 0&&(a={}),on(this,void 0,void 0,function(){var s,o,c,l,u,h;return Qt(this,function(d){switch(d.label){case 0:return r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e)),s=new F1(this.weightMap,i,a,this.functionExecutorMap),[4,this.executeWithControlFlow(t,s,e,r)];case 1:return o=d.sent(),c=e.map(function(p){return Gt(p,o,s)}),l=c.map(function(p){return p.id}),u=Object.keys(t).map(function(p){return t[p].id}),h=new Set(_r(l,u,this.weightIds)),Object.keys(o).forEach(function(p){var f=o[p];f.forEach(function(m){m&&!m.isDisposed&&!h.has(m.id)&&m.dispose()})}),this.parent==null&&s.dispose(h),[2,c]}})})},n.prototype.executeFunctionAsync=function(t,e,r){return on(this,void 0,void 0,function(){var i,a=this;return Qt(this,function(s){return i=t.reduce(function(o,c,l){return o[a.inputs[l].name]=c,o},{}),[2,this._executeAsync(i,this.outputNodes,!0,e,r)]})})},n.prototype.executeWithControlFlow=function(t,e,r,i){return on(this,void 0,void 0,function(){var a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,L,x,N=this;return Qt(this,function(I){switch(I.label){case 0:a=Object.keys(t),s=a.map(function(C){return N.graph.nodes[en(C)[0]]}),o=r.map(function(C){return en(C)[0]}),c=o.map(function(C){return N.graph.nodes[C]}),c.length===0&&(c=this._outputs),l=U1(t,c,this.weightMap,this._initNodes),u=l.usedNodes,h=l.missingInputs,d=l.dynamicNode,p=l.syncInputs,f=_r(s,this.graph.weights,this._initNodes||[]).map(function(C){return{node:C,contexts:e.currentContext}}),m=T1({},this.weightMap),Object.keys(t).forEach(function(C){var O=yt(en(C),2),D=O[0],F=O[1],k=[];k[F]=t[C],m[D]=k}),g={},y=this.getFrozenTensorIds(m),w={},I.label=1;case 1:return f.length>0?(b=this.processStack(s,f,e,m,w,y,o,g,u),[4,Promise.all(b)]):[3,3];case 2:return I.sent(),[3,1];case 3:if(d==null&&!i&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),L=c.filter(function(C){return!W1(C)&&!Gt(C.name,m,e)}).map(function(C){return C.name}),L.length>0)throw x="",d!=null&&(x="Alternatively, to avoid the dynamic ops, use model.execute() "+("and specify the inputs ["+p+"]")),new Error("Cannot compute the outputs ["+L+"] from the provided "+("inputs ["+a+"]. Consider providing the following inputs: ")+("["+h+"]. "+x));return[2,m]}})})},n.prototype.processStack=function(t,e,r,i,a,s,o,c,l){for(var u=this,h=[],d=function(){var f,m,g=e.pop();r.currentContext=g.contexts;var y="";if(g.node.op==="Enter"&&T("isConstant",g.node,i,r)&&(f=yt(Qn(g.node.name,r),1),y=f[0]),i[g.node.name]==null){var w=k1(g.node,i,r,p._resourceManager);y||(m=yt(Qn(g.node.name,r),1),y=m[0]);var b=r.currentContext;W.util.isPromise(w)?h.push(w.then(function(L){return i[y]=L,r.currentContext=b,u.checkTensorForDisposal(y,g.node,i,r,s,o,c),u.processChildNodes(g.node,e,r,i,a,l),L})):(i[y]=w,p.checkTensorForDisposal(y,g.node,i,r,s,o,c),p.processChildNodes(g.node,e,r,i,a,l))}else p.processChildNodes(g.node,e,r,i,a,l)},p=this;e.length>0;)d();return h},n.prototype.processChildNodes=function(t,e,r,i,a,s){t.children.forEach(function(o){var c=yt(Qn(o.name,r),1),l=c[0];if(a[l]||!s.has(o.name))return;o.op==="Merge"?o.inputNames.some(function(u){return!!Gt(u,i,r)})&&(a[l]=!0,e.push({contexts:r.currentContext,node:o})):o.inputNames.every(function(u){return!!Gt(u,i,r)})&&(a[l]=!0,e.push({contexts:r.currentContext,node:o}))})},n.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(r){return r.dispose()})})},n.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(r){var i=t[r],a=yt(en(r),1),s=a[0],o=e.graph.nodes[s];if(o.attrParams.shape&&o.attrParams.shape.value){var c=o.attrParams.shape.value,l=c.length===i.shape.length&&i.shape.every(function(u,h){return c[h]===-1||c[h]===u});W.util.assert(l,function(){return"The shape of dict['"+o.name+"'] provided in "+("model.execute(dict) must be ["+c+"], but was ")+("["+i.shape+"]")})}o.attrParams.dtype&&o.attrParams.dtype.value&&W.util.assert(i.dtype===o.attrParams.dtype.value,function(){return"The dtype of dict['"+o.name+"'] provided in model.execute(dict) must be "+(o.attrParams.dtype.value+", but was "+i.dtype)})})},n.prototype.mapInputs=function(t){var e={};for(var r in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[r]!=null){var i=this._signature.inputs[r];e[i.name]=t[r]}else e[r]=t[r];return e},n.prototype.checkInputs=function(t){var e=this,r=Object.keys(t).filter(function(i){var a=yt(en(i),1),s=a[0];return e.graph.nodes[s]==null});if(r.length>0)throw new Error("The dict provided in model.execute(dict) has "+("keys: ["+r+"] that are not part of graph"))},n.prototype.mapOutputs=function(t){var e=this;return t.map(function(r){if(e._signature!=null&&e._signature.outputs!=null&&e._signature.outputs[r]!=null){var i=e._signature.outputs[r];return i.name}return r},{})},n.prototype.checkOutputs=function(t){var e=this;t.forEach(function(r){var i=yt(en(r),1),a=i[0];if(!e.graph.nodes[a])throw new Error("The output '"+r+"' is not found in the graph")})},n}(),Xk=function(){function n(t,e){t===void 0&&(t={}),e===void 0&&(e={}),this.hashTableNameToHandle=t,this.hashTableMap=e}return n.prototype.addHashTable=function(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e},n.prototype.getHashTableHandleByName=function(t){return this.hashTableNameToHandle[t]},n.prototype.getHashTableById=function(t){return this.hashTableMap[t]},n.prototype.dispose=function(){for(var t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(var e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]},n}();var Jk="?tfjs-format=file",Zk="model.json",z1=function(){function n(t,e){e===void 0&&(e={}),this.modelUrl=t,this.loadOptions=e,this.version="n/a",e==null&&(this.loadOptions={}),this.resourceManager=new Xk}return Object.defineProperty(n.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),n.prototype.findIOHandler=function(){var t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=W.io.browserHTTPRequest(t,this.loadOptions);else{var e=W.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(W.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error("Found more than one ("+e.length+") load handlers for "+("URL '"+[t]+"'"));this.handler=e[0]}},n.prototype.load=function(){return on(this,void 0,void 0,function(){var t;return Qt(this,function(e){switch(e.label){case 0:if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return t=e.sent(),[2,this.loadSync(t)]}})})},n.prototype.loadSync=function(t){this.artifacts=t;var e=this.artifacts.modelTopology,r={};this.artifacts.userDefinedMetadata!=null&&(r=this.artifacts.userDefinedMetadata.signature),this.version=e.versions.producer+"."+e.versions.minConsumer;var i=W.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new B1(R1.Instance.transformGraph(e,r)),this.executor.weightMap=this.convertTensorMapToTensorsMap(i),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null){var a=R1.Instance.transformGraph(t.modelInitializer);this.initializer=new B1(a),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0},n.prototype.save=function(t,e){return on(this,void 0,void 0,function(){var r;return Qt(this,function(i){if(typeof t=="string"){if(r=W.io.getSaveHandlers(t),r.length===0)throw new Error("Cannot find any save handlers for URL '"+t+"'");if(r.length>1)throw new Error("Found more than one ("+r.length+") save handlers for "+("URL '"+t+"'"));t=r[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,t.save(this.artifacts)]})})},n.prototype.predict=function(t,e){return this.execute(t,this.outputNodes)},n.prototype.normalizeInputs=function(t){if(!(t instanceof W.Tensor)&&!Array.isArray(t))return t;if(t=Array.isArray(t)?t:[t],t.length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,"+("the graph model has "+this.inputNodes.length+" placeholders, ")+("while there are "+t.length+" input tensors."));return this.inputNodes.reduce(function(e,r,i){return e[r]=t[i],e},{})},n.prototype.normalizeOutputs=function(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]},n.prototype.execute=function(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);var r=this.executor.execute(t,e);return r.length>1?r:r[0]},n.prototype.executeAsync=function(t,e){return on(this,void 0,void 0,function(){var r;return Qt(this,function(i){switch(i.label){case 0:return t=this.normalizeInputs(t),e=this.normalizeOutputs(e),[4,this.executor.executeAsync(t,e)];case 1:return 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t.prototype.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){var e,r;return le(this,function(i){switch(i.label){case 0:e=[],i.label=1;case 1:return e.length<this.batchSize?[4,this.upstream.next()]:[3,3];case 2:return r=i.sent(),r.done?this.enableSmallLastBatch&&e.length>0?[2,{value:e,done:!1}]:[2,{value:null,done:!0}]:(e.push(r.value),[3,1]);case 3:return[2,{value:e,done:!1}]}})})},t}(Rt),I6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.predicate=r,i.lastRead=Promise.resolve({value:null,done:!1}),i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Filter"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var 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1:if(e=l.sent(),e.done)return[2,{value:null,done:!0}];for(r=Ce.tensor_util.getTensorsInContainer(e.value),i=this.transform(e.value),a=Ce.tensor_util.getTensorsInContainer(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,{value:i,done:!1}]}})})},t}(Rt),T6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.handler=r,i.count=0,i.lastRead=Promise.resolve({value:null,done:!1}),i}return t.prototype.summary=function(){return this.upstream.summary()+" -> handleErrors"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){var e;return le(this,function(r){switch(r.label){case 0:r.label=1;case 1:return r.trys.push([1,3,,4]),[4,this.upstream.next()];case 2:return[2,r.sent()];case 3:return e=r.sent(),this.handler(e)?[3,4]:[2,{value:null,done:!0}];case 4:return[3,0];case 5:return[2]}})})},t}(Rt),$1=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.transform=r,i}return t.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s,o,c;return le(this,function(l){switch(l.label){case 0:return[4,this.upstream.next()];case 1:return e=l.sent(),e.done?[2,{value:null,done:!0}]:(r=Ce.tensor_util.getTensorsInContainer(e.value),[4,this.transform(e.value)]);case 2:for(i=l.sent(),a=Ce.tensor_util.getTensorsInContainer(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,{value:i,done:!1}]}})})},t}(Rt),Cd=function(n){qe(t,n);function t(){var e=n.call(this)||this;return e.outputQueue=new f6,e.lastRead=Promise.resolve({value:null,done:!1}),e}return t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){switch(e.label){case 0:return this.outputQueue.length()===0?[4,this.pump()]:[3,2];case 1:return e.sent()?[3,0]:[2,{value:null,done:!0}];case 2:return[2,{value:this.outputQueue.shift(),done:!1}]}})})},t}(Rt),N6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.transform=r,i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},t.prototype.pump=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s,o,c;return le(this,function(l){switch(l.label){case 0:return[4,this.upstream.next()];case 1:if(e=l.sent(),e.done)return[2,!1];for(r=Ce.tensor_util.getTensorsInContainer(e.value),i=this.transform(e.value),a=Ce.tensor_util.getTensorsInContainer(i),this.outputQueue.pushAll(i),s=0,o=r;s<o.length;s++)c=o[s],Ce.tensor_util.isTensorInList(c,a)||c.dispose();return[2,!0]}})})},t}(Cd),j1=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.baseErrorHandler=r,i.lastRead=null,i.iterator=null,i.moreIterators=e,i}return t.prototype.summary=function(){var e="TODO: fill in upstream of chained summaries";return e+" -> Chained"},t.prototype.next=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]})})},t.prototype.readFromChain=function(e){return ce(this,void 0,void 0,function(){var r,i;return le(this,function(a){switch(a.label){case 0:return[4,e];case 1:return a.sent(),this.iterator==null?[4,this.moreIterators.next()]:[3,3];case 2:if(r=a.sent(),r.done)return[2,{value:null,done:!0}];this.iterator=r.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),a.label=3;case 3:return[4,this.iterator.next()];case 4:return i=a.sent(),i.done?(this.iterator=null,[2,this.readFromChain(e)]):[2,i]}})})},t}(Rt),Cr;(function(n){n[n.FAIL=0]="FAIL",n[n.SHORTEST=1]="SHORTEST",n[n.LONGEST=2]="LONGEST"})(Cr||(Cr={}));var v6=function(n){qe(t,n);function t(e,r){r===void 0&&(r=Cr.FAIL);var i=n.call(this)||this;return i.iterators=e,i.mismatchMode=r,i.count=0,i.currentPromise=null,i}return t.prototype.summary=function(){var e="TODO: fill in upstream of zip summaries";return"{"+e+"} -> Zip"},t.prototype.nextState=function(e){return ce(this,void 0,void 0,function(){function r(o){if(o instanceof Rt){var c=o.next();return{value:c.then(function(l){return i++,l.done&&a++,l.value}),recurse:!1}}else return{value:null,recurse:!0}}var i,a,s;return le(this,function(o){switch(o.label){case 0:return[4,e];case 1:return o.sent(),i=0,a=0,[4,q1(this.iterators,r)];case 2:if(s=o.sent(),i===a)return[2,{value:null,done:!0}];if(a>0)switch(this.mismatchMode){case Cr.FAIL:throw new Error("Zipped streams should have the same length. "+("Mismatched at element "+this.count+"."));case Cr.SHORTEST:return[2,{value:null,done:!0}];case Cr.LONGEST:}return this.count++,[2,{value:s,done:!1}]}})})},t.prototype.next=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]})})},t}(Rt),X1=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.bufferSize=r,i.buffer=new Y1(r),i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},t.prototype.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},t.prototype.next=function(){return this.refill(),this.buffer.shift()},t}(Rt),_6=function(n){qe(t,n);function t(e,r,i){var a=n.call(this,e,r)||this;return a.upstream=e,a.windowSize=r,a.upstreamExhausted=!1,a.random=H1(i||Ce.util.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e=this;return le(this,function(r){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.randomInt=function(e){return Math.floor(this.random()*e)},t.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},t.prototype.serialNext=function(){return ce(this,void 0,void 0,function(){var e,r;return le(this,function(i){switch(i.label){case 0:this.upstreamExhausted||this.refill(),i.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(e=this.chooseIndex(),[4,this.buffer.shuffleExcise(e)]);case 2:if(r=i.sent(),r.done)this.upstreamExhausted=!0;else return this.refill(),[2,r];return[3,1];case 3:return[2,{value:null,done:!0}]}})})},t}(X1);var Ja=function(){function n(){this.size=null}return n.prototype.batch=function(t,e){var r=this;e===void 0&&(e=!0);var i=this;Ce.util.assert(t>0,function(){return`batchSize needs to be positive, but it is
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If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting "+("bufferSize to the dataset size ("+this.size+" elements)"));var a=this,s=H1(e||Ce.util.now().toString());return tn(function(){return ce(i,void 0,void 0,function(){var o;return le(this,function(c){switch(c.label){case 0:return o=s.int32(),r&&(o+=s.int32()),[4,a.iterator()];case 1:return[2,c.sent().shuffle(t,o.toString())]}})})},this.size)},n.prototype.take=function(t){var e=this,r=this,i;return this.size!=null&&this.size>t?i=t:this.size!=null&&this.size<=t?i=this.size:i=null,tn(function(){return ce(e,void 0,void 0,function(){return le(this,function(a){switch(a.label){case 0:return[4,r.iterator()];case 1:return[2,a.sent().take(t)]}})})},i)},n.prototype.toArray=function(){return ce(this,void 0,void 0,function(){return le(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArray()]}})})},n.prototype.toArrayForTest=function(){return ce(this,void 0,void 0,function(){return le(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArrayForTest()]}})})},n.MAX_BUFFER_SIZE=1e4,n}();function tn(n,t){return t===void 0&&(t=null),new(function(e){qe(r,e);function r(){var i=e!==null&&e.apply(this,arguments)||this;return i.size=t,i}return r.prototype.iterator=function(){return ce(this,void 0,void 0,function(){return le(this,function(i){return[2,n()]})})},r}(Ja))}function R6(n){var t=this;return tn(function(){return ce(t,void 0,void 0,function(){return le(this,function(e){return[2,K1(n)]})})},n.length)}function O6(n){var t=this;if(!Xi(n))throw new Error("The argument to zip() must be an object or array.");var e;if(Array.isArray(n))for(var r=0;r<n.length;r++)e=e==null?n[r].size:Math.min(e,n[r].size);else if(n instanceof Object)for(var i in n)e=e==null?n[i].size:Math.min(e,n[i].size);return tn(function(){return ce(t,void 0,void 0,function(){var a;return le(this,function(s){switch(s.label){case 0:return[4,q1(n,function(o){if(o instanceof Ja)return{value:o.iterator(),recurse:!1};if(Xi(o))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})];case 1:return a=s.sent(),[2,w6(a,Cr.SHORTEST)]}})})},e)}function C6(n){if(n===null)return null;var t=n[0];if(h6(t)){var e=E6(n);return{value:e,recurse:!1}}return{value:null,recurse:!0}}function E6(n){if(n.length===0)throw new Error("Can't make a batch of zero elements.");return n[0]instanceof Ce.Tensor?Ce.stack(n):Ce.tensor(n)}var J1=function(n){qe(t,n);function t(e){var r=n.call(this)||this;return r.input=e,r}return t.prototype.iterator=function(){return ce(this,void 0,void 0,function(){var e,r,i;return le(this,function(a){switch(a.label){case 0:return[4,this.input.iterator()];case 1:return e=a.sent(),r=e.decodeUTF8(),i=r.split(`
`).map(function(s){return s.endsWith("\r")&&(s=s.slice(0,-1)),s}),[2,i]}})})},t}(Ja);var Mo='"',Za=Symbol("out"),Z1=Symbol("field"),Ho=Symbol("quote"),Rd=Symbol("quoteafterquote"),Q1=Symbol("quoteinquote"),ew=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.input=e,i.hasHeader=!0,i.fullColumnNames=null,i.columnNamesValidated=!1,i.columnConfigs=null,i.configuredColumnsOnly=!1,i.delimiter=",",i.delimWhitespace=!1,i.base=new J1(e),r||(r={}),i.hasHeader=!(r.hasHeader===!1),i.fullColumnNames=r.columnNames,i.columnConfigs=r.columnConfigs,i.configuredColumnsOnly=r.configuredColumnsOnly,r.delimWhitespace?(Ce.util.assert(r.delimiter==null,function(){return"Delimiter should not be provided when delimWhitespace is true."}),i.delimWhitespace=!0,i.delimiter=" "):i.delimiter=r.delimiter?r.delimiter:",",i}return t.prototype.columnNames=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){switch(e.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:e.sent(),e.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},t.prototype.setColumnNames=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s,o,c,l=this;return le(this,function(u){switch(u.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(e=u.sent(),!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&e&&Ce.util.assert(e.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+l.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=e),r=this.fullColumnNames.reduce(function(h,d){return h[d]=h[d]+1||1,h},{}),i=Object.keys(r).filter(function(h){return r[h]>1}),Ce.util.assert(i.length===0,function(){return"Duplicate column names found: "+i.toString()}),this.columnConfigs){for(a=0,s=Object.keys(this.columnConfigs);a<s.length;a++)if(o=s[a],c=this.fullColumnNames.indexOf(o),c===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}return this.columnNamesValidated=!0,[2]}})})},t.prototype.maybeReadHeaderLine=function(){return ce(this,void 0,void 0,function(){var e,r,i,a;return le(this,function(s){switch(s.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return e=s.sent(),[4,e.next()];case 2:if(r=s.sent(),r.done)throw new Error("No data was found for CSV parsing.");return i=r.value,a=this.parseRow(i,!1),[2,a];case 3:return[2,null]}})})},t.prototype.iterator=function(){return ce(this,void 0,void 0,function(){var e,r=this;return le(this,function(i){switch(i.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:i.sent(),i.label=2;case 2:return[4,this.base.iterator()];case 3:return e=i.sent(),this.hasHeader&&(e=e.skip(1)),[2,e.map(function(a){return r.makeDataElement(a)})]}})})},t.prototype.makeDataElement=function(e){for(var r=this.parseRow(e),i={},a={},s=0;s<this.fullColumnNames.length;s++){var o=this.fullColumnNames[s],c=this.columnConfigs?this.columnConfigs[o]:null;if(this.configuredColumnsOnly&&!c)continue;var l=r[s],u=null;if(l==="")if(c&&c.default!==void 0)u=c.default;else{if(c&&(c.required||c.isLabel))throw new Error("Required column "+o+" is empty in this line: "+e);u=void 0}else{var h=Number(l);if(isNaN(h))c&&c.dtype==="bool"?u=this.getBoolean(l):u=l;else if(!c||!c.dtype)u=h;else switch(c.dtype){case"float32":u=h;break;case"int32":u=Math.floor(h);break;case"bool":u=this.getBoolean(l);break;default:u=h}}c&&c.isLabel?a[o]=u:i[o]=u}return Object.keys(a).length===0?i:{xs:i,ys:a}},t.prototype.getBoolean=function(e){return e==="1"||e.toLowerCase()==="true"?1:0},t.prototype.parseRow=function(e,r){r===void 0&&(r=!0);for(var i=[],a=0,s=e.length,o=Za,c=0;c<s;c++)switch(o){case Za:switch(e.charAt(c)){case Mo:a=c+1,o=Ho;break;case this.delimiter:if(a=c+1,this.delimiter===" "&&this.delimWhitespace)break;i.push(""),o=Za;break;default:o=Z1,a=c;break}break;case Z1:switch(e.charAt(c)){case this.delimiter:i.push(e.substring(a,c)),o=Za,a=c+1;break}break;case Ho:switch(e.charAt(c)){case Mo:o=Rd;break}break;case Rd:switch(e.charAt(c)){case this.delimiter:i.push(e.substring(a,c-1)),o=Za,a=c+1;break;case Mo:o=Ho;break;default:o=Q1;break}break;case Q1:switch(e.charAt(c)){case Mo:o=Ho;break}break}if(o===Rd?i.push(e.substring(a,s-1)):i.push(e.substring(a)),r&&i.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+i);return i},t}(Ja);var D6=function(n){qe(t,n);function t(e){var r=n.call(this)||this;r.microphoneConfig=e,r.isClosed=!1,r.fftSize=e.fftSize||1024;var i=Math.log2(r.fftSize);if(r.fftSize<0||i<4||i>14||!Number.isInteger(i))throw new Error("Invalid fftSize: it must be a power of 2 between "+("2 to 4 and 2 to 14, but got "+r.fftSize));if(r.numFrames=e.numFramesPerSpectrogram||43,r.sampleRateHz=e.sampleRateHz,r.columnTruncateLength=e.columnTruncateLength||r.fftSize,r.audioTrackConstraints=e.audioTrackConstraints,r.smoothingTimeConstant=e.smoothingTimeConstant||0,r.includeSpectrogram=!(e.includeSpectrogram===!1),r.includeWaveform=e.includeWaveform===!0,!r.includeSpectrogram&&!r.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return r}return t.prototype.summary=function(){return"microphone"},t.create=function(e){return e===void 0&&(e={}),ce(this,void 0,void 0,function(){var r;return le(this,function(i){switch(i.label){case 0:if(Ce.env().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return r=new t(e),[4,r.start()];case 1:return i.sent(),[2,r]}})})},t.prototype.start=function(){return ce(this,void 0,void 0,function(){var e,r,i,a;return le(this,function(s){switch(s.label){case 0:return s.trys.push([0,2,,3]),e=this,[4,navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})];case 1:return e.stream=s.sent(),[3,3];case 2:throw r=s.sent(),new Error("Error thrown while initializing video stream: "+r.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(i=window.AudioContext||window.webkitAudioContext,this.audioContext=new i,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: "+("Expected: "+this.sampleRateHz+"; ")+("Actual: "+this.audioContext.sampleRate));return a=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,a.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s;return le(this,function(o){switch(o.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return i=o.sent(),this.includeSpectrogram&&(a=this.flattenQueue(i.freqDataQueue),e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(s=this.flattenQueue(i.timeDataQueue),r=this.getTensorFromAudioDataArray(s,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:e,waveform:r},done:!1}]}})})},t.prototype.capture=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:return[2,e.sent().value]}})})},t.prototype.getAudioData=function(){return ce(this,void 0,void 0,function(){var e,r,i,a=this;return le(this,function(s){return e=[],r=[],i=0,[2,new Promise(function(o){var c=setInterval(function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-Infinity&&o({freqDataQueue:e,timeDataQueue:r}),e.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),r.push(a.timeData.slice())),++i===a.numFrames&&(clearInterval(c),o({freqDataQueue:e,timeDataQueue:r}))},a.fftSize/a.sampleRateHz*1e3)})]})})},t.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},t.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},t.prototype.getSampleRate=function(){return this.sampleRateHz},t.prototype.flattenQueue=function(e){var r=e[0].length,i=new Float32Array(e.length*r);return e.forEach(function(a,s){return i.set(a,s*r)}),i},t.prototype.getTensorFromAudioDataArray=function(e,r){var i=new Float32Array(Ce.util.sizeFromShape(r));return i.set(e,i.length-e.length),Ce.tensor(i,r)},t}(Rt);var k6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;if(i.webcamVideoElement=e,i.webcamConfig=r,i.isClosed=!0,i.resize=!1,i.needToResize())if(i.resize=!0,i.cropSize=[i.webcamConfig.resizeHeight,i.webcamConfig.resizeWidth],i.cropBoxInd=Ce.tensor1d([0],"int32"),i.webcamConfig.centerCrop){var a=i.webcamConfig.resizeWidth*1/i.webcamVideoElement.width,s=i.webcamConfig.resizeHeight*1/i.webcamVideoElement.height,o=(1-a)/2,c=(1-s)/2,l=o+a,u=s+c;i.cropBox=Ce.tensor2d([c,o,u,l],[1,4])}else i.cropBox=Ce.tensor2d([0,0,1,1],[1,4]);return i}return t.prototype.summary=function(){return"webcam"},t.create=function(e,r){return r===void 0&&(r={}),ce(this,void 0,void 0,function(){var i;return le(this,function(a){switch(a.label){case 0:if(Ce.env().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!r.resizeWidth||!r.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=r.resizeWidth,e.height=r.resizeHeight}return i=new t(e,r),[4,i.start()];case 1:return a.sent(),[2,i]}})})},t.prototype.start=function(){return ce(this,void 0,void 0,function(){var e,r,i=this;return le(this,function(a){switch(a.label){case 0:this.webcamConfig.facingMode&&Ce.util.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",function(){return"Invalid webcam facing mode: "+i.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),a.label=1;case 1:return a.trys.push([1,3,,4]),e=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return e.stream=a.sent(),[3,4];case 3:throw r=a.sent(),r.message="Error thrown while initializing video stream: "+r.message,r;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(s){console.log(s),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(s){i.webcamVideoElement.onloadedmetadata=function(){s()}})]}})})},t.prototype.next=function(){return ce(this,void 0,void 0,function(){var e;return le(this,function(r){if(this.isClosed)return[2,{value:null,done:!0}];try{e=Ce.browser.fromPixels(this.webcamVideoElement)}catch(i){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(i))}if(this.resize)try{return[2,{value:this.cropAndResizeFrame(e),done:!1}]}catch(i){throw new Error("Error thrown cropping the video: "+i.message)}finally{e.dispose()}else return[2,{value:e,done:!1}];return[2]})})},t.prototype.needToResize=function(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))},t.prototype.cropAndResizeFrame=function(e){var r=this;return Ce.tidy(function(){var i=e.toFloat().expandDims(0),a;a=Ce.image.cropAndResize(i,r.cropBox,r.cropBoxInd,r.cropSize,"bilinear");var s=a.shape;return a.reshape(s.slice(1))})},t.prototype.capture=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:return[2,e.sent().value]}})})},t.prototype.stop=function(){var e=this.stream.getTracks();e.forEach(function(r){return r.stop()});try{this.webcamVideoElement.srcObject=null}catch(r){console.log(r),this.webcamVideoElement.src=null}this.isClosed=!0},t.prototype.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},t}(Rt);var tw=function(){function n(){}return n}();var nw=function(n){qe(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.split=function(e){return new F6(this,e)},t}(Rt),F6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.impl=new W6(e,r),i}return t.prototype.summary=function(){return this.impl.summary()},t.prototype.next=function(){return ce(this,void 0,void 0,function(){return le(this,function(e){return[2,this.impl.next()]})})},t}(nw),W6=function(n){qe(t,n);function t(e,r){var i=n.call(this)||this;return i.upstream=e,i.separator=r,i.carryover="",i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},t.prototype.pump=function(){return ce(this,void 0,void 0,function(){var e,r,i,a,s;return le(this,function(o){switch(o.label){case 0:return[4,this.upstream.next()];case 1:if(e=o.sent(),e.done)return this.carryover===""?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for(r=e.value.split(this.separator),r[0]=this.carryover+r[0],i=0,a=r.slice(0,-1);i<a.length;i++)s=a[i],this.outputQueue.push(s);return this.carryover=r[r.length-1],[2,!0]}})})},t}(Cd);var B6=function(n){qe(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.decodeUTF8=function(){return new U6(this)},t}(Rt),U6=function(n){qe(t,n);function t(e){var r=n.call(this)||this;return r.upstream=e,r.impl=new z6(e),r}return t.prototype.summary=function(){return this.impl.summary()},t.prototype.next=function(){return ce(this,void 0,void 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c=S.scalar(o,"int32"),l=S.equal(c,r).asType("float32"),u=l.mul(e).sum(0);a.push(u)}return S.stack(a)},t.prototype.argMin=function(e,r){ae(e,"argMin");var i=[r];S.backend_util.assertAxesAreInnerMostDims("argMin",i,e.rank);for(var a=S.backend_util.computeOutAndReduceShapes(e.shape,i),s=a[0],o=a[1],c=S.zeros(s,"int32"),l=S.util.sizeFromShape(o),u=this.readSync(c.dataId),h=this.readSync(e.dataId),d=0;d<u.length;++d){for(var p=d*l,f=h[p],m=0,g=0;g<l;++g){var y=h[p+g];y<f&&(f=y,m=g)}u[d]=m}return c},t.prototype.argMax=function(e,r){ae(e,"argMax");var i=[r];S.backend_util.assertAxesAreInnerMostDims("argMax",i,e.rank);for(var a=S.backend_util.computeOutAndReduceShapes(e.shape,i),s=a[0],o=a[1],c=S.zeros(s,"int32"),l=S.util.sizeFromShape(o),u=this.readSync(c.dataId),h=this.readSync(e.dataId),d=0;d<u.length;++d){for(var p=d*l,f=h[p],m=0,g=0;g<l;++g){var y=h[p+g];y>f&&(f=y,m=g)}u[d]=m}return c},t.prototype.cumsum=function(e,r,i,a){if(ae(e,"cumsum"),r!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+r));for(var s=S.upcastType(e.dtype,"int32"),o=S.zeros(e.shape,s),c=this.readSync(o.dataId),l=this.readSync(e.dataId),u=e.shape[e.rank-1],h=a?function(g,y){return g+u-y-1}:function(g,y){return g+y},d=0;d<l.length;d+=u)for(var p=0;p<u;p++){var f=h(d,p);if(p===0)c[f]=i?0:l[f];else{var m=h(d,p-1);c[f]=i?l[m]+c[m]:l[f]+c[m]}}return o},t.prototype.equal=function(e,r){return ae([e,r],"equal"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i===a?1:0})},t.prototype.notEqual=function(e,r){return ae([e,r],"notEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i!==a?1:0})},t.prototype.less=function(e,r){return ae([e,r],"less"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i<a?1:0})},t.prototype.lessEqual=function(e,r){return ae([e,r],"lessEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i<=a?1:0})},t.prototype.greater=function(e,r){return ae([e,r],"greater"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i>a?1:0})},t.prototype.greaterEqual=function(e,r){return ae([e,r],"greaterEqual"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i>=a?1:0})},t.prototype.logicalAnd=function(e,r){return ae([e,r],"logicalAnd"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i&&a})},t.prototype.logicalOr=function(e,r){return ae([e,r],"logicalOr"),this.broadcastedBinaryOp(e,r,"bool",function(i,a){return i||a})},t.prototype.select=function(e,r,i){ae([e,r,i],"select");for(var a=this.readSync(e.dataId),s=this.readSync(r.dataId),o=this.readSync(i.dataId),c=S.zeros(r.shape,S.upcastType(r.dtype,i.dtype)),l=this.readSync(c.dataId),u=0,h=e.rank===0||e.rank>1||r.rank===1?1:S.util.sizeFromShape(r.shape.slice(1)),d=0;d<a.length;d++)for(var p=0;p<h;p++)a[d]===1?l[u++]=s[d]:l[u++]=o[d];return c},t.prototype.where=function(e){ae([e],"where");var r=this.readSync(e.dataId);return s8(e.shape,r)},t.prototype.topk=function(e,r,i){ae(e,"topk");var a=this.readSync(e.dataId);return a8(a,e.shape,e.dtype,r,i)},t.prototype.min=function(e,r){ae(e,"min"),S.backend_util.assertAxesAreInnerMostDims("min",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];m<p&&(p=m)}l[h]=p}return o},t.prototype.minimum=function(e,r){return ae([e,r],"minimum"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.min(i,a)})},t.prototype.mod=function(e,r){return ae([e,r],"mod"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){var s=i%a;return i<0&&a<0||i>=0&&a>=0?s:(s+a)%a})},t.prototype.maximum=function(e,r){return ae([e,r],"maximum"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.max(i,a)})},t.prototype.all=function(e,r){ae(e,"all"),S.backend_util.assertAxesAreInnerMostDims("all",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];p=p&&m}l[h]=p}return o},t.prototype.any=function(e,r){ae(e,"any"),S.backend_util.assertAxesAreInnerMostDims("any",r,e.rank);for(var i=S.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=S.zeros(a,e.dtype),c=S.util.sizeFromShape(s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),h=0;h<l.length;++h){for(var d=h*c,p=u[d],f=0;f<c;++f){var m=u[d+f];p=p||m}l[h]=p}return o},t.prototype.squaredDifference=function(e,r){return ae([e,r],"squaredDifference"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){var s=i-a;return s*s})},t.prototype.eluDer=function(e,r){ae([e,r],"eluDer");for(var i=new Float32Array(r.size),a=this.readSync(r.dataId),s=this.readSync(e.dataId),o=0;o<a.length;++o){var c=a[o];c>=1?i[o]=s[o]:i[o]=s[o]*(c+1)}return this.makeOutput(i,r.shape,"float32")},t.prototype.atan2=function(e,r){return ae([e,r],"atan2"),this.broadcastedBinaryOp(e,r,e.dtype,function(i,a){return Math.atan2(i,a)})},t.prototype.tile=function(e,r){return ae(e,"tile"),i8(this.bufferSync(e),r)},t.prototype.gather=function(e,r,i){ae([e,r],"gather");var a=e.shape.slice(),s=this.readSync(r.dataId);a[i]=s.length;for(var o=S.buffer(a,e.dtype),c=this.bufferSync(e),l=0;l<o.size;++l){var u=o.indexToLoc(l),h=u.slice();h[i]=s[u[i]];var d=c.locToIndex(h);o.values[l]=c.values[d]}return o.toTensor()},t.prototype.batchToSpaceND=function(e,r,i){ae([e],"batchToSpaceND");var a=r.reduce(function(h,d){return h*d}),s=S.backend_util.getReshaped(e.shape,r,a),o=S.backend_util.getPermuted(s.length,r.length),c=S.backend_util.getReshapedPermuted(e.shape,r,a),l=S.backend_util.getSliceBeginCoords(i,r.length),u=S.backend_util.getSliceSize(c,i,r.length);return S.transpose(e.reshape(s),o).reshape(c).slice(l,u)},t.prototype.pool3d=function(e,r,i){ae(e,"pool3d");for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,c=r.dilationDepth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,f=r.padInfo.front,m=r.padInfo.top,g=r.padInfo.left,y=i==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=this.readSync(e.dataId),b=S.buffer(r.outShape,e.dtype),L=b.values,x=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],N=r.outShape[2]*r.outShape[3]*r.outShape[4],I=r.outShape[3]*r.outShape[4],C=r.outShape[4],O=0;O<r.batchSize;++O)for(var D=O*x,F=O*e.strides[0],k=0;k<r.inChannels;++k)for(var B=0;B<r.outDepth;++B){for(var V=B*a-f,P=V;P<0;)P+=c;for(var G=Math.min(r.inDepth,h+V),j=D+B*N,q=0;q<r.outHeight;++q){for(var H=q*s-m,J=H;J<0;)J+=l;for(var $=Math.min(r.inHeight,d+H),ee=j+q*I,te=0;te<r.outWidth;++te){for(var ne=te*o-g,re=ne;re<0;)re+=u;for(var ie=Math.min(r.inWidth,p+ne),oe=ee+te*C,se=y,me=0,ye=0,we=P;we<G;we+=c){for(var Ee=F+we*e.strides[1],Be=J;Be<$;Be+=l){for(var We=Ee+Be*e.strides[2],Ye=re;Ye<ie;Ye+=u){var ze=We+Ye*e.strides[3],Ie=w[ze+k];if(i==="max"&&Ie>se?se=Ie:i==="avg"&&(me+=Ie,ye++),isNaN(se))break}if(isNaN(se))break}if(isNaN(se))break}var ue=oe+k;L[ue]=i==="avg"?me/ye:se}}}return b.toTensor()},t.prototype.avgPool3d=function(e,r){return ae(e,"avgPool3d"),this.pool3d(e,r,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,r,i){ae([e,r],"avgPool3dBackprop");for(var a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,c=i.filterDepth,l=i.filterHeight,u=i.filterWidth,h=i.dilationDepth,d=i.dilationHeight,p=i.dilationWidth,f=i.effectiveFilterDepth,m=i.effectiveFilterHeight,g=i.effectiveFilterWidth,y=f-1-i.padInfo.front,w=g-1-i.padInfo.left,b=m-1-i.padInfo.top,L=S.buffer(r.shape,"float32"),x=1/(c*l*u),N=this.bufferSync(e),I=0;I<i.batchSize;++I)for(var C=0;C<i.inChannels;++C)for(var O=0;O<i.inDepth;++O)for(var D=0;D<i.inHeight;++D)for(var F=0;F<i.inWidth;++F){for(var k=O-y,B=D-b,V=F-w,P=0,G=0;G<f;G+=h){var j=(k+G)/a;if(j<0||j>=i.outDepth||Math.floor(j)!==j)continue;for(var q=0;q<m;q+=d){var H=(B+q)/s;if(H<0||H>=i.outHeight||Math.floor(H)!==H)continue;for(var J=0;J<g;J+=p){var $=(V+J)/o;if($<0||$>=i.outWidth||Math.floor($)!==$)continue;var ee=N.get(I,j,H,$,C);P+=ee}}}L.set(P*x,I,O,D,F,C)}return L.toTensor()},t.prototype.maxPool3d=function(e,r){return ae(e,"maxPool3d"),this.pool3d(e,r,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,r){for(var i=S.buffer(r.outShape,"int32"),a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,c=r.dilationDepth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,f=r.padInfo.front,m=r.padInfo.top,g=r.padInfo.left,y=this.bufferSync(e),w=0;w<r.batchSize;++w)for(var b=0;b<r.inChannels;++b)for(var L=0;L<r.outDepth;++L){for(var x=L*a-f,N=x;N<0;)N+=c;for(var I=Math.min(r.inDepth,h+x),C=0;C<r.outHeight;++C){for(var O=C*s-m,D=O;D<0;)D+=l;for(var F=Math.min(r.inHeight,d+O),k=0;k<r.outWidth;++k){for(var B=k*o-g,V=B;V<0;)V+=u;for(var P=Math.min(r.inWidth,p+B),G=Number.NEGATIVE_INFINITY,j=-1,q=N;q<I;q+=c)for(var H=q-x,J=D;J<F;J+=l)for(var $=J-O,ee=V;ee<P;ee+=u){var te=ee-B,ne=y.get(w,q,J,ee,b);ne>=G&&(G=ne,j=H*d*p+$*d+te)}i.set(j,w,L,C,k,b)}}}return i.toTensor()},t.prototype.maxPool3dBackprop=function(e,r,i,a){ae([r,i],"maxPool3dBackprop");for(var s=this.maxPool3dPositions(r,a),o=a.strideDepth,c=a.strideHeight,l=a.strideWidth,u=a.dilationDepth,h=a.dilationHeight,d=a.dilationWidth,p=a.effectiveFilterDepth,f=a.effectiveFilterHeight,m=a.effectiveFilterWidth,g=p-1-a.padInfo.front,y=m-1-a.padInfo.left,w=f-1-a.padInfo.top,b=S.buffer(r.shape,"float32"),L=this.bufferSync(s),x=this.bufferSync(e),N=0;N<a.batchSize;++N)for(var I=0;I<a.inChannels;++I)for(var C=0;C<a.inDepth;++C)for(var O=0;O<a.inHeight;++O)for(var D=0;D<a.inWidth;++D){for(var F=C-g,k=O-w,B=D-y,V=0,P=0;P<p;P+=u){var G=(F+P)/o;if(G<0||G>=a.outDepth||Math.floor(G)!==G)continue;for(var j=0;j<f;j+=h){var q=(k+j)/c;if(q<0||q>=a.outHeight||Math.floor(q)!==q)continue;for(var H=0;H<m;H+=d){var J=(B+H)/l;if(J<0||J>=a.outWidth||Math.floor(J)!==J)continue;var $=p*f*m-1-L.get(N,G,q,J,I),ee=P*f*m+j*m+H,te=$===ee?1:0;if(te===0)continue;var ne=x.get(N,G,q,J,I);V+=ne*te}}}b.set(V,N,C,O,D,I)}return b.toTensor()},t.prototype.resizeBilinear=function(e,r,i,a){ae(e,"resizeBilinear");for(var s=e.shape,o=s[0],c=s[1],l=s[2],u=s[3],h=this.readSync(e.dataId),d=new Float32Array(S.util.sizeFromShape([o,r,i,u])),p=[a&&r>1?c-1:c,a&&i>1?l-1:l],f=[a&&r>1?r-1:r,a&&i>1?i-1:i],m=0,g=p[0]/f[0],y=p[1]/f[1],w=0;w<o;w++)for(var b=0;b<r;b++)for(var L=g*b,x=Math.floor(L),N=L-x,I=Math.min(c-1,Math.ceil(L)),C=w*e.strides[0]+x*e.strides[1],O=w*e.strides[0]+I*e.strides[1],D=0;D<i;D++)for(var F=y*D,k=Math.floor(F),B=F-k,V=Math.min(l-1,Math.ceil(F)),P=C+k*e.strides[2],G=O+k*e.strides[2],j=C+V*e.strides[2],q=O+V*e.strides[2],H=0;H<u;H++){var J=h[P+H],$=h[G+H],ee=h[j+H],te=h[q+H],ne=J+(ee-J)*B,re=$+(te-$)*B,ie=ne+(re-ne)*N;d[m++]=ie}return S.tensor(d,[o,r,i,u])},t.prototype.resizeBilinearBackprop=function(e,r,i){ae([e,r],"resizeBilinearBackprop");for(var a=r.shape,s=a[0],o=a[1],c=a[2],l=a[3],u=e.shape,h=u[1],d=u[2],p=new Float32Array(s*o*c*l),f=[i&&h>1?o-1:o,i&&d>1?c-1:c],m=[i&&h>1?h-1:h,i&&d>1?d-1:d],g=f[0]/m[0],y=f[1]/m[1],w=this.readSync(e.dataId),b=0,L=0;L<s;L++)for(var x=L*r.strides[0],N=0;N<h;N++)for(var I=N*g,C=Math.floor(I),O=Math.min(Math.ceil(I),o-1),D=x+C*r.strides[1],F=x+O*r.strides[1],k=I-C,B=1-k,V=0;V<d;V++)for(var P=V*y,G=Math.floor(P),j=Math.min(Math.ceil(P),c-1),q=P-G,H=1-q,J=D+G*r.strides[2],$=D+j*r.strides[2],ee=F+G*r.strides[2],te=F+j*r.strides[2],ne=B*H,re=B*q,ie=k*H,oe=k*q,se=0;se<l;se++){var me=w[b++];p[J+se]+=me*ne,p[$+se]+=me*re,p[ee+se]+=me*ie,p[te+se]+=me*oe}return S.tensor4d(p,[s,c,o,l],r.dtype)},t.prototype.resizeNearestNeighbor=function(e,r,i,a){ae(e,"resizeNearestNeighbor");for(var s=e.shape,o=s[0],c=s[1],l=s[2],u=s[3],h=this.readSync(e.dataId),d=new Float32Array(o*r*i*u),p=[a&&r>1?c-1:c,a&&i>1?l-1:l],f=[a&&r>1?r-1:r,a&&i>1?i-1:i],m=p[0]/f[0],g=p[1]/f[1],y=0,w=0;w<o;w++)for(var b=w*e.strides[0],L=0;L<r;L++)for(var x=m*L,N=Math.min(c-1,a?Math.round(x):Math.floor(x)),I=b+N*e.strides[1],C=0;C<i;C++)for(var O=g*C,D=Math.min(l-1,a?Math.round(O):Math.floor(O)),F=I+D*e.strides[2],k=0;k<u;k++){var B=h[F+k];d[y++]=B}return S.tensor(d,[o,r,i,u],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,r,i){ae([e,r],"resizeNearestNeighborBackprop");for(var a=r.shape,s=a[0],o=a[1],c=a[2],l=a[3],u=e.shape,h=u[1],d=u[2],p=new Float32Array(s*o*c*l),f=this.readSync(e.dataId),m=[i&&h>1?o-1:o,i&&d>1?c-1:c],g=[i&&h>1?h-1:h,i&&d>1?d-1:d],y=m[0]/g[0],w=m[1]/g[1],b=1/y,L=1/w,x=Math.ceil(b)*2+2,N=Math.ceil(L)*2+2,I=0;I<s;I++)for(var C=I*r.strides[0],O=0;O<o;O++)for(var D=C+O*r.strides[1],F=Math.floor(O*b),k=Math.floor(F-x/2),B=0;B<c;B++)for(var V=D+B*r.strides[2],P=Math.floor(B*L),G=Math.floor(P-N/2),j=0;j<l;j++){for(var q=0,H=0;H<x;H++){var J=H+k;if(J<0||J>=h)continue;var $=C+J*e.strides[1],ee=J*y,te=Math.min(o-1,i?Math.round(ee):Math.floor(ee));if(O!==te)continue;for(var ne=0;ne<N;ne++){var re=ne+G;if(re<0||re>=d)continue;var ie=$+re*e.strides[2],oe=re*w,se=Math.min(c-1,i?Math.round(oe):Math.floor(oe));B===se&&(q+=f[ie+j])}}p[V+j]=q}return S.tensor4d(p,r.shape,r.dtype)},t.prototype.localResponseNormalization4D=function(e,r,i,a,s){ae(e,"localResponseNormalization4D");var o=e.shape[3],c=o-1,l=this.readSync(e.dataId),u=e.size,h=new Float32Array(u);function d(g){for(var y=g%o,w=g-y+Math.max(0,y-r),b=g-y+Math.min(y+r,c),L=0;w<=b;w++){var x=l[w];L+=x*x}return L}for(var p=0;p<u;p++){var f=d(p),m=l[p]*Math.pow(i+a*f,-s);h[p]=m}return S.tensor4d(h,e.shape)},t.prototype.LRNGrad=function(e,r,i,a,s,o,c){ae(e,"LRNGrad");for(var l=e.shape[3],u=this.readSync(e.dataId),h=this.readSync(r.dataId),d=this.readSync(i.dataId),p=new Float32Array(e.size),f=e.size,m=0;m<f;m++){for(var g=m%l,y=m-g+Math.max(0,g-a),w=m-g+Math.min(l,g+a+1),b=0,L=y;L<w;L++)b+=Math.pow(h[L],2);b=o*b+s;for(var L=y;L<w;L++){var x=-2*o*c*h[L]*d[m]/b;m===L&&(x+=Math.pow(b,-c)),x*=u[m],p[L]+=x}}return S.tensor4d(p,e.shape)},t.prototype.multinomial=function(e,r,i,a){ae(e,"multinomial");for(var s=r?e:S.softmax(e),o=s.shape[0],c=s.shape[1],l=S.zeros([o,i],"int32"),u=this.readSync(l.dataId),h=this.readSync(s.dataId),d=0;d<o;++d){var p=d*c,f=new Float32Array(c-1);f[0]=h[p];for(var m=1;m<f.length;++m)f[m]=f[m-1]+h[p+m];for(var g=e8.alea(a.toString()),y=d*i,w=0;w<i;++w){var b=g();u[y+w]=f.length;for(var L=0;L<f.length;L++)if(b<f[L]){u[y+w]=L;break}}}return l},t.prototype.oneHot=function(e,r,i,a){ae(e,"oneHot");var s=new Float32Array(e.size*r);s.fill(a);for(var o=this.readSync(e.dataId),c=0;c<e.size;++c)o[c]>=0&&o[c]<r&&(s[c*r+o[c]]=i);return S.tensor2d(s,[e.size,r],"int32")},t.prototype.nonMaxSuppression=function(e,r,i,a,s){ae(e,"nonMaxSuppression");var o=this.readSync(e.dataId),c=this.readSync(r.dataId);return n8(o,c,i,a,s)},t.prototype.depthToSpace=function(e,r,i){S.util.assert(i==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+i}),S.util.assert(r>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+r});for(var a=e.shape[0],s=e.shape[1],o=e.shape[2],c=e.shape[3],l=s*r,u=o*r,h=c/(r*r),d=this.readSync(e.dataId),p=new Float32Array(a*l*u*h),f=0,m=0;m<a;++m)for(var g=0;g<l;++g)for(var y=Math.floor(g/r),w=g%r,b=0;b<u;++b)for(var L=Math.floor(b/r),x=b%r,N=(w*r+x)*h,I=0;I<h;++I){var C=I+N,O=C+c*(L+o*(y+s*m));p[f++]=d[O]}return S.tensor4d(p,[a,l,u,h])},t.prototype.broadcastedBinaryOp=function(e,r,i,a){var s=S.backend_util.assertAndGetBroadcastShape(e.shape,r.shape),o=S.buffer(s,i),c=this.readSync(e.dataId),l=this.readSync(r.dataId),u=S.backend_util.getBroadcastDims(e.shape,s),h=S.backend_util.getBroadcastDims(r.shape,s),d=o.values;if(u.length+h.length===0)for(var p=0;p<d.length;++p)d[p]=a(c[p%c.length],l[p%l.length]);else for(var f=this.bufferSync(e),m=this.bufferSync(r),g=function(y){var w=o.indexToLoc(y),b=w.slice(-e.rank);u.forEach(function(I){return b[I]=0});var L=f.locToIndex(b),x=w.slice(-r.rank);h.forEach(function(I){return x[I]=0});var N=m.locToIndex(x);d[y]=a(c[L],l[N])},p=0;p<d.length;++p)g(p);return o.toTensor()},t.prototype.split=function(e,r,i){return r8(e,r,i)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return n.prototype.epsilon.call(this)},t.prototype.cropAndResize=function(e,r,i,a,s,o){for(var c=e.shape,l=c[0],u=c[1],h=c[2],d=c[3],p=r.shape[0],f=a[0],m=a[1],g=S.buffer([p,f,m,d],"float32"),y=this.readSync(r.dataId),w=this.readSync(i.dataId),b=this.readSync(e.dataId),L=e.strides,x=g.strides,N=0;N<p;N++){var I=N*4,C=y[I],O=y[I+1],D=y[I+2],F=y[I+3],k=w[N];if(k>=l)continue;for(var B=f>1?(D-C)*(u-1)/(f-1):0,V=m>1?(F-O)*(h-1)/(m-1):0,P=0;P<f;P++){var G=f>1?C*(u-1)+P*B:.5*(C+D)*(u-1);if(G<0||G>u-1){for(var j=0;j<m;j++)for(var q=0;q<d;q++){var H=q+j*x[2]+P*x[1]+N*x[0];g.values[H]=o}continue}if(s==="bilinear")for(var J=Math.floor(G),$=Math.ceil(G),ee=G-J,j=0;j<m;j++){var te=m>1?O*(h-1)+j*V:.5*(O+F)*(h-1);if(te<0||te>h-1){for(var q=0;q<d;q++){var H=q+j*x[2]+P*x[1]+N*x[0];g.values[H]=o}continue}for(var ne=Math.floor(te),re=Math.ceil(te),ie=te-ne,q=0;q<d;q++){var H=q+ne*L[2]+J*L[1]+k*L[0],oe=b[H];H=q+re*L[2]+J*L[1]+k*L[0];var se=b[H];H=q+ne*L[2]+$*L[1]+k*L[0];var me=b[H];H=q+re*L[2]+$*L[1]+k*L[0];var ye=b[H],we=oe+(se-oe)*ie,Ee=me+(ye-me)*ie;H=q+j*x[2]+P*x[1]+N*x[0],g.values[H]=we+(Ee-we)*ee}}else for(var j=0;j<m;++j){var te=m>1?O*(h-1)+j*V:.5*(O+F)*(h-1);if(te<0||te>h-1){for(var q=0;q<d;q++){var H=q+j*x[2]+P*x[1]+N*x[0];g.values[H]=o}continue}for(var Be=Math.round(te),We=Math.round(G),q=0;q<d;q++){var Ye=q+Be*L[2]+We*L[1]+k*L[0],ze=q+j*x[2]+P*x[1]+N*x[0];g.values[ze]=b[Ye]}}}}return g.toTensor()},t.prototype.sparseToDense=function(e,r,i,a){var s=S.backend_util.calculateShapes(r,e,i),o=s.sliceRank,c=s.numUpdates,l=s.sliceSize,u=s.strides,h=s.outputSize,d=!1;return this.scatter(e,r,i,h,l,c,o,u,a,d)},t.prototype.gatherND=function(e,r){var i=r.shape,a=i[i.length-1],s=S.backend_util.prepareAndValidate(e,r),o=s[0],c=s[1],l=s[2],u=s[3];if(c===0)return S.tensor([],o,e.dtype);for(var h=new S.TensorBuffer([c,l],e.dtype),d=this.readSync(r.dataId),p=this.readSync(e.dataId),f=0;f<c;f++){for(var m=[],g=0,y=0;y<a;y++){var w=d[f*a+y];g+=w*u[y],m.push(w)}if(g<0||g>=e.size/l)throw new Error("Invalid indices: "+m+" does not index into "+e.shape);for(var b=0;b<l;b++)h.values[f*l+b]=p[g*l+b]}return h.toTensor().reshape(o)},t.prototype.scatterND=function(e,r,i){var a=S.backend_util.calculateShapes(r,e,i),s=a.sliceRank,o=a.numUpdates,c=a.sliceSize,l=a.strides,u=a.outputSize,h=S.scalar(0),d=!0;return this.scatter(e,r,i,u,c,o,s,l,h,d)},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported for string tensors");return S.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var r=S.util.getArrayFromDType(e.dtype,S.util.sizeFromShape(e.shape));return this.makeOutput(r,e.shape,e.dtype)},t.prototype.linspace=function(e,r,i){return S.backend_util.linspaceImpl(e,r,i)},t.prototype.scatter=function(e,r,i,a,s,o,c,l,u,h){var d=[a/s,s],p=this.readSync(e.dataId),f=this.readSync(r.dataId);if(a===0)return S.tensor([],i,r.dtype);var m=new S.TensorBuffer(d,r.dtype);m.values.fill(this.readSync(u.dataId)[0]);for(var g=0;g<o;g++){for(var y=[],w=0,b=0;b<c;b++){var L=p[g*c+b];y.push(L),w+=L*l[b]}if(w<0||w>=a/s)throw new Error("Invalid indices: "+y+" does not index into "+i);for(var x=0;x<s;x++)h?m.values[w*s+x]+=f[g*s+x]:m.values[w*s+x]=r.rank===0?f[0]:f[g*s+x]}return m.toTensor().reshape(i)},t}(S.KernelBackend);function Tw(n){for(var t=new Float32Array(n.length),e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}var o8=function(n){var t=n.inputs.x,e=n.backend,r=new Float32Array(S.util.sizeFromShape(t.shape));if(t.dtype!=="complex64"){var i=e.data.get(t.dataId).values;r=Tw(i)}else for(var a=e.data.get(t.dataId),s=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,c=e.data.get(s.dataId).values,l=e.data.get(o.dataId).values,u=0;u<c.length;u++){var h=c[u],d=l[u];r[u]=Math.hypot(h,d)}return e.makeOutput(r,t.shape,"float32")},c8={kernelName:S.Abs,backendName:"cpu",kernelFunc:o8};function Rr(n){return function(t,e,r,i,a){var s=S.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,c=S.util.computeStrides(s),l=S.util.sizeFromShape(s),u=S.util.getTypedArrayFromDType(a,l),h=t.length,d=e.length,p=S.util.computeStrides(t),f=S.util.computeStrides(e),m=S.backend_util.getBroadcastDims(t,s),g=S.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(var y=0;y<u.length;++y)u[y]=n(r[y%r.length],i[y%i.length]);else for(var w=function(b){var L=S.util.indexToLoc(b,o,c),x=L.slice(-h);m.forEach(function(O){return x[O]=0});var N=S.util.locToIndex(x,h,p),I=L.slice(-d);g.forEach(function(O){return I[O]=0});var C=S.util.locToIndex(I,d,f);u[b]=n(r[N],i[C])},y=0;y<u.length;++y)w(y);return[u,s]}}function An(n){var t=n.inputs,e=n.backend,r=t.real,i=t.imag,a=e.data.get(r.dataId).values,s=e.data.get(i.dataId).values,o=e.makeTensorInfo(r.shape,"complex64"),c=e.data.get(o.dataId);return c.complexTensorInfos={real:e.makeTensorInfo(r.shape,"float32",a),imag:e.makeTensorInfo(i.shape,"float32",s)},o}var l8={kernelName:S.Complex,backendName:"cpu",kernelFunc:An};function hi(n){var t=n.inputs,e=n.backend,r=t.x;return e.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var u8={kernelName:S.Identity,backendName:"cpu",kernelFunc:hi};function es(n){var t=n.inputs,e=n.backend,r=t.input,i=e.data.get(r.dataId).complexTensorInfos.real,a=e.data.get(i.dataId).values;return e.makeTensorInfo(i.shape,i.dtype,a)}var h8={kernelName:S.Real,backendName:"cpu",kernelFunc:es};function ts(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.dtype;if(a==="complex64"){if(i.dtype==="complex64")return hi({inputs:{x:i},backend:e});var s=S.zeros(i.shape),o=ts({inputs:{x:i},backend:e,attrs:{dtype:"float32"}}),c=An({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),c}if(i.dtype==="complex64"){var l=es({inputs:{input:i},backend:e}),c=ts({inputs:{x:l},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(l),c}if(!S.util.hasEncodingLoss(i.dtype,a)){var c=hi({inputs:{x:i},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:a}}if(a==="int32"){var u=e.data.get(i.dataId).values,h=Int32Array.from(u);return e.makeTensorInfo(i.shape,"int32",h)}if(a==="bool"){var d=e.data.get(i.dataId).values,p=S.util.toTypedArray([0],i.dtype),f=Rr(function(y,w){return y!==w?1:0})(i.shape,[],d,p,"bool"),m=f[0],g=f[1];return e.makeTensorInfo(g,"bool",m)}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+a)}var d8={kernelName:S.Cast,backendName:"cpu",kernelFunc:ts};function Ji(n,t,e,r){return e==null?function(i){var a=i.inputs,s=i.backend,o=a,c=o.a,l=o.b,u=s;ae([c,l],n);var h=u.data.get(c.dataId).values,d=u.data.get(l.dataId).values,p=r||c.dtype,f=t(c.shape,l.shape,h,d,p),m=f[0],g=f[1];return u.makeTensorInfo(g,p,m)}:function(i){var a=i.inputs,s=i.backend,o=a,c=o.a,l=o.b,u=s;if(c.dtype==="complex64"||l.dtype==="complex64"){var h=ts({inputs:{x:c},backend:u,attrs:{dtype:"complex64"}}),d=u.data.get(h.dataId),p=d.complexTensorInfos.real,f=d.complexTensorInfos.imag,m=u.data.get(p.dataId).values,g=u.data.get(f.dataId).values,y=ts({inputs:{x:l},backend:u,attrs:{dtype:"complex64"}}),w=u.data.get(y.dataId),b=w.complexTensorInfos.real,L=w.complexTensorInfos.imag,x=u.data.get(b.dataId).values,N=u.data.get(L.dataId).values,I=e(c.shape,l.shape,m,g,x,N),C=I[0],O=I[1],D=I[2],F=u.makeTensorInfo(D,"float32",C),k=u.makeTensorInfo(D,"float32",O),B=An({inputs:{real:F,imag:k},backend:u});return u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo(y),u.disposeIntermediateTensorInfo(F),u.disposeIntermediateTensorInfo(k),B}else{var V=u.data.get(c.dataId).values,P=u.data.get(l.dataId).values,G=r||c.dtype,j=t(c.shape,l.shape,V,P,G),q=j[0],D=j[1];return u.makeTensorInfo(D,G,q)}}}function Bd(n){return function(t,e,r,i,a,s){var o=S.backend_util.assertAndGetBroadcastShape(t,e),c=S.util.sizeFromShape(o),l=o.length,u=S.util.computeStrides(o),h=S.util.getTypedArrayFromDType("float32",c),d=S.util.getTypedArrayFromDType("float32",c),p=S.backend_util.getBroadcastDims(t,o),f=S.backend_util.getBroadcastDims(e,o),m=S.backend_util.mergeRealAndImagArrays(r,i),g=S.backend_util.mergeRealAndImagArrays(a,s),y=t.length,w=S.util.computeStrides(t),b=e.length,L=S.util.computeStrides(e);if(p.length+f.length===0)for(var x=0;x<h.length;x++){var N=x%m.length,I=x%g.length,C=n(m[N*2],m[N*2+1],g[I*2],g[I*2+1]);h[x]=C.real,d[x]=C.imag}else for(var O=function(D){var F=S.util.indexToLoc(D,l,u),k=F.slice(-y);p.forEach(function(j){return k[j]=0});var B=S.util.locToIndex(k,y,w),V=F.slice(-b);f.forEach(function(j){return V[j]=0});var P=S.util.locToIndex(V,b,L),G=n(m[B*2],m[B*2+1],g[P*2],g[P*2+1]);h[D]=G.real,d[D]=G.imag},x=0;x<h.length;x++)O(x);return[h,d,o]}}var Nw=Rr(function(n,t){return n+t}),p8=Bd(function(n,t,e,r){return{real:n+e,imag:t+r}}),ns=Ji(S.Add,Nw,p8),f8={kernelName:S.Add,backendName:"cpu",kernelFunc:ns};function Zi(n){return function(t,e,r){for(var i=S.util.getTypedArrayFromDType(e,t.length),a=0;a<t.length;++a)i[a]=n(t[a],r);return i}}function Ke(n,t,e){return function(r){var i=r.inputs,a=r.attrs,s=r.backend,o=i.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");for(var c=s,l=c.data.get(o.dataId).values,u=S.util.sizeFromShape(o.shape),h=e||o.dtype,d=S.util.getArrayFromDType(h,u),p=0;p<u;++p)d[p]=t(l[p],a);return c.makeTensorInfo(o.shape,h,d)}}function Qi(n,t,e){return function(r){var i=r.inputs,a=r.attrs,s=r.backend,o=i.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");var c=s,l=c.data.get(o.dataId).values,u=e||o.dtype,h=t(l,u,a);return c.makeTensorInfo(o.shape,u,h)}}var _w=Zi(function(n){return Math.ceil(n)}),m8=Qi(S.Ceil,_w),g8={kernelName:S.Ceil,backendName:"cpu",kernelFunc:m8};var Cw=Zi(function(n){return Math.exp(n)}),y8=Qi(S.Exp,Cw),v8={kernelName:S.Exp,backendName:"cpu",kernelFunc:y8};var Rw=Zi(function(n){return Math.expm1(n)}),w8=Qi(S.Expm1,Rw),b8={kernelName:S.Expm1,backendName:"cpu",kernelFunc:w8};var Ow=Zi(function(n){return Math.floor(n)}),x8=Qi(S.Floor,Ow),L8={kernelName:S.Floor,backendName:"cpu",kernelFunc:x8};var Ew=Zi(function(n){return Math.log(n)}),S8=Qi(S.Log,Ew),I8={kernelName:S.Log,backendName:"cpu",kernelFunc:S8};function Dw(n,t,e,r){for(var i=S.util.getTypedArrayFromDType(r,S.util.sizeFromShape(e)),a=0;a<i.length;++a){for(var s=a*t,o=n[s],c=0;c<t;++c){var l=n[s+c];l>o&&(o=l)}i[a]=o}return i}var kw=Rr(function(n,t){return n*t}),A8=Bd(function(n,t,e,r){return{real:n*e-t*r,imag:n*r+t*e}}),Fw=Ji(S.Multiply,kw,A8),T8={kernelName:S.Multiply,backendName:"cpu",kernelFunc:Fw};var Ww=Rr(function(n,t){return n!==t?1:0}),N8=Ji(S.NotEqual,Ww,null,"bool"),_8={kernelName:S.NotEqual,backendName:"cpu",kernelFunc:N8};var Uw=Zi(function(n){return 1/Math.sqrt(n)}),C8=Qi(S.Rsqrt,Uw),R8={kernelName:S.Rsqrt,backendName:"cpu",kernelFunc:C8};function Bw(n,t,e,r,i){var a=S.slice_util.isSliceContinous(r,t,e),s=S.util.sizeFromShape(e),o=S.util.computeStrides(r);if(a){var c=S.slice_util.computeFlatOffset(t,o);return n.subarray(c,c+s)}for(var l=S.util.getTypedArrayFromDType(i,s),u=0;u<s;++u){var h=e.length,d=S.util.computeStrides(e),p=S.util.indexToLoc(u,h,d),f=p.map(function(g,y){return g+t[y]}),m=S.util.locToIndex(f,r.length,o);l[u]=n[m]}return l}function zd(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.begin,s=r.size;ae(i,"slice");var o=S.slice_util.parseSliceParams(i,a,s),c=o[0],l=o[1];S.slice_util.assertParamsValid(i,c,l);var u=e.data.get(i.dataId).values,h=Bw(u,c,l,i.shape,i.dtype);return e.makeTensorInfo(l,i.dtype,h)}var O8={kernelName:S.Slice,backendName:"cpu",kernelFunc:zd};var zw=Rr(function(n,t){var e=n-t;return e*e}),E8=Ji(S.SquaredDifference,zw),D8={kernelName:S.SquaredDifference,backendName:"cpu",kernelFunc:E8};var Pw=Rr(function(n,t){return n-t}),k8=Bd(function(n,t,e,r){return{real:n-e,imag:t-r}}),Mw=Ji(S.Sub,Pw,k8),F8={kernelName:S.Sub,backendName:"cpu",kernelFunc:Mw};function Pd(n,t,e,r,i){for(var a=t.length,s=S.util.sizeFromShape(t),o=S.util.computeStrides(t),c=S.util.computeStrides(i),l=S.util.getTypedArrayFromDType(e,S.util.sizeFromShape(i)),u=0;u<s;++u){for(var h=S.util.indexToLoc(u,a,o),d=new Array(h.length),p=0;p<d.length;p++)d[p]=h[r[p]];var f=S.util.locToIndex(d,a,c);l[f]=n[u]}return l}function Hw(n,t,e,r){for(var i=S.util.parseAxisParam(t,e)[0],a=[1,e[0],1],s=0;s<i;s++)a[0]*=e[s];a[1]=e[i];for(var s=i+1;s<e.length;s++)a[2]*=e[s];for(var o={},c=new Int32Array(e[i]),l=new S.TensorBuffer(a,r,n),u=[],h=a[0]===1&&a[2]===1,s=0;s<e[i];s++){var d=void 0;if(h)d=n[s].toString();else{for(var p=[],f=0;f<a[0];f++)for(var m=0;m<a[2];m++)p.push(l.get(f,s,m));d=p.join(",")}if(o[d]!==void 0)c[s]=o[d];else{var g=Object.keys(o).length;o[d]=g,c[s]=g,u.push(s)}}var y=a.slice();y[1]=Object.keys(o).length;var w=new S.TensorBuffer(y,r);u.forEach(function(L,x){for(var N=0;N<a[0];N++)for(var I=0;I<a[2];I++)w.set(l.get(N,L,I),N,x,I)});var b=e.slice();return b[i]=y[1],{outputValues:w.values,outputShape:b,indices:c}}var W8={__proto__:null,simpleAbsImpl:Tw,addImpl:Nw,ceilImpl:_w,expImpl:Cw,expm1Impl:Rw,floorImpl:Ow,logImpl:Ew,maxImpl:Dw,multiplyImpl:kw,notEqualImpl:Ww,rsqrtImpl:Uw,sliceImpl:Bw,squaredDifferenceImpl:zw,subImpl:Pw,transposeImpl:Pd,uniqueImpl:Hw};var U8="2.7.0";S.registerBackend("cpu",function(){return new Aw},1);var Vw=Ke(S.Elu,function(n){return n>=0?n:Math.exp(n)-1}),B8={kernelName:S.Elu,backendName:"cpu",kernelFunc:Vw};var z8=Rr(function(n,t){return n<0?t*n:n});function Gw(n){var t=n.inputs,e=n.backend,r=t.x,i=t.alpha;ae([r,i],"prelu");var a=e.data.get(r.dataId).values,s=e.data.get(i.dataId).values,o=z8(r.shape,i.shape,a,s,r.dtype),c=o[0],l=o[1];return e.makeTensorInfo(l,r.dtype,c)}var P8={kernelName:S.Prelu,backendName:"cpu",kernelFunc:Gw};var qw=Ke(S.Relu,function(n){return Math.max(0,n)}),M8={kernelName:S.Relu,backendName:"cpu",kernelFunc:qw};var Yw=Ke(S.Relu6,function(n){return Math.min(Math.max(0,n),6)}),H8={kernelName:S.Relu6,backendName:"cpu",kernelFunc:Yw};function Md(n,t,e,r){if(e==="linear")return hi({inputs:{x:t},backend:n});if(e==="relu")return qw({inputs:{x:t},backend:n});if(e==="elu")return Vw({inputs:{x:t},backend:n});if(e==="relu6")return Yw({inputs:{x:t},backend:n});if(e==="prelu")return Gw({inputs:{x:t,alpha:r},backend:n});throw new Error("Activation "+e+" has not been implemented for the CPU backend.")}function Bn(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.shape,s=S.util.sizeFromShape(i.shape),o=S.util.inferFromImplicitShape(a,s),c=S.util.sizeFromShape(o);S.util.assert(s===c,function(){return"The new shape ("+o+") has "+c+" elements and the old "+("shape ("+i.shape+") has "+s+" elements. The new shape and old ")+"shape must have the same number of elements."}),e.incRef(i.dataId);var l=e.data.get(i.dataId);if(l.complexTensorInfos!=null){var u=l.complexTensorInfos.real,h=l.complexTensorInfos.imag;u.shape=o,h.shape=o}return{dataId:i.dataId,shape:o,dtype:i.dtype}}var V8={kernelName:S.Reshape,backendName:"cpu",kernelFunc:Bn};function Kw(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.a,a=t.b,s=r.transposeA,o=r.transposeB;ae([i,a],"matMul");var c=i.shape.length,l=a.shape.length,u=s?i.shape[c-2]:i.shape[c-1],h=o?a.shape[l-1]:a.shape[l-2],d=s?i.shape[c-1]:i.shape[c-2],p=o?a.shape[l-2]:a.shape[l-1],f=i.shape.slice(0,-2),m=a.shape.slice(0,-2),g=S.util.sizeFromShape(f),y=S.util.sizeFromShape(m),w=g===y||g===1||y===1;S.util.assert(c>=2&&l>=2&&w,function(){return"Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input "+("batch dimensions of ("+f+") and ("+m+").")});var b=g>y?i.shape.slice(0,-2):a.shape.slice(0,-2),L=b.concat([d,p]);S.util.assert(u===h,function(){return"Error in matMul: inner shapes ("+u+") and ("+(h+") of Tensors with shapes "+i.shape+" and ")+(a.shape+" and transposeA="+s)+(" and transposeB="+o+" must match.")});for(var x=s?[g,u,d]:[g,d,u],N=o?[y,p,h]:[y,h,p],I=Bn({inputs:{x:i},backend:e,attrs:{shape:x}}),C=Bn({inputs:{x:a},backend:e,attrs:{shape:N}}),O=s?I.shape[1]:I.shape[2],D=s?I.shape[2]:I.shape[1],F=o?C.shape[1]:C.shape[2],k=Math.max(g,y),B=e.data.get(I.dataId).values,V=e.data.get(C.dataId).values,P=S.util.computeStrides(I.shape),G=S.util.computeStrides(C.shape),j=s?[P[0],1,P[1]]:[P[0],P[1],1],q=j[0],H=j[1],J=j[2],$=o?[1,G[1],G[0]]:[G[1],1,G[0]],ee=$[0],te=$[1],ne=$[2],re=D*F,ie=S.buffer([k,D,F],I.dtype),oe=ie.values,se=e.blockSize,me=0;me<k;me++)for(var ye=0;ye<D;ye+=se)for(var we=0;we<F;we+=se)for(var Ee=0;Ee<O;Ee+=se)for(var Be=Math.min(ye+se,D),We=Math.min(we+se,F),Ye=Math.min(Ee+se,O),ze=ye;ze<Be;ze++)for(var Ie=we;Ie<We;Ie++){for(var ue=0,Qe=Ee;Qe<Ye;Qe++){var ft=Math.min(me,g-1)*q,He=Math.min(me,y-1)*ne,Ot=B[ft+ze*H+Qe*J],ht=V[Qe*ee+Ie*te+He];ue+=Ot*ht}oe[me*re+(ze*F+Ie)]+=ue}return e.disposeIntermediateTensorInfo(I),e.disposeIntermediateTensorInfo(C),e.makeTensorInfo(L,ie.dtype,ie.values)}var G8={kernelName:S.BatchMatMul,backendName:"cpu",kernelFunc:Kw};function q8(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.a,a=t.b,s=t.bias,o=t.preluActivationWeights,c=r.transposeA,l=r.transposeB,u=r.activation,h,d,p,f=[],m=Kw({inputs:{a:i,b:a},attrs:{transposeA:c,transposeB:l},backend:e});h=m,s&&(d=ns({inputs:{a:h,b:s},backend:e}),f.push(h),h=d),u&&(p=Md(e,h,u,o),f.push(h),h=p);for(var g=0,y=f;g<y.length;g++){var w=y[g];e.disposeIntermediateTensorInfo(w)}return h}var Y8={kernelName:S._FusedMatMul,backendName:"cpu",kernelFunc:q8};var K8=Ke(S.Acos,function(n){return Math.acos(n)}),j8={kernelName:S.Acos,backendName:"cpu",kernelFunc:K8};var $8=Ke(S.Acosh,function(n){return Math.acosh(n)}),X8={kernelName:S.Acosh,backendName:"cpu",kernelFunc:$8};var J8=Ke(S.Asin,function(n){return Math.asin(n)}),Z8={kernelName:S.Asin,backendName:"cpu",kernelFunc:J8};var Q8=Ke(S.Asinh,function(n){return Math.asinh(n)}),e9={kernelName:S.Asinh,backendName:"cpu",kernelFunc:Q8};var t9=Ke(S.Atan,function(n){return Math.atan(n)}),n9={kernelName:S.Atan,backendName:"cpu",kernelFunc:t9};var r9=Ke(S.Atanh,function(n){return Math.atanh(n)}),i9={kernelName:S.Atanh,backendName:"cpu",kernelFunc:r9};function Hd(n,t,e,r,i,a){for(var s=i.strideHeight,o=i.strideWidth,c=i.dilationHeight,l=i.dilationWidth,u=i.effectiveFilterHeight,h=i.effectiveFilterWidth,d=i.padInfo.top,p=i.padInfo.left,f=a==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=S.buffer(i.outShape,e),g=m.values,y=i.outShape[1]*i.outShape[2]*i.outShape[3],w=i.outShape[2]*i.outShape[3],b=i.outShape[3],L=0;L<i.batchSize;++L)for(var x=L*y,N=L*r[0],I=0;I<i.inChannels;++I)for(var C=0;C<i.outHeight;++C)for(var O=C*s-d,D=Math.max(0,O),F=Math.min(i.inHeight,u+O),k=x+C*w,B=0;B<i.outWidth;++B){for(var V=B*o-p,P=Math.max(0,V),G=Math.min(i.inWidth,h+V),j=f,q=0,H=0,J=D;J<F;J+=c){for(var $=N+J*r[1],ee=P;ee<G;ee+=l){var te=$+ee*r[2],ne=n[te+I];a==="max"&&ne>j?j=ne:a==="avg"&&(q+=ne,H++)}if(isNaN(j))break}var re=k+B*b+I;g[re]=a==="avg"?q/H:j}return m}function jw(n,t,e,r,i,a){i===void 0&&(i=!1),a===void 0&&(a=!1);for(var s=S.buffer(r.outShape,"int32"),o=r.strideHeight,c=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,h=r.effectiveFilterHeight,d=r.effectiveFilterWidth,p=r.padInfo.top,f=r.padInfo.left,m=S.buffer(t,e,n),g=0;g<r.batchSize;++g)for(var y=0;y<r.inChannels;++y)for(var w=0;w<r.outHeight;++w){for(var b=w*o-p,L=b;L<0;)L+=l;for(var x=Math.min(r.inHeight,h+b),N=0;N<r.outWidth;++N){for(var I=N*c-f,C=I;C<0;)C+=u;for(var O=Math.min(r.inWidth,d+I),D=Number.NEGATIVE_INFINITY,F=-1,k=L;k<x;k+=l)for(var B=k-b,V=C;V<O;V+=u){var P=V-I,G=m.get(g,k,V,y);G>D&&(D=G,i?F=a?((g*r.inHeight+k)*r.inWidth+V)*r.inChannels+y:(k*r.inWidth+V)*r.inChannels+y:F=B*d+P)}s.set(F,g,w,N,y)}}return s}function a9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ae(i,"avgPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=S.backend_util.computePool2DInfo(i.shape,a,s,l,o,c),h;if(u.filterWidth===1&&u.filterHeight===1&&S.util.arraysEqual(u.inShape,u.outShape))h=hi({inputs:{x:i},backend:e});else{var d=e.data.get(i.dataId).values,p=S.util.computeStrides(i.shape),f=Hd(d,i.shape,i.dtype,p,u,"avg");h=e.makeTensorInfo(u.outShape,i.dtype,f.values)}return h}var s9={kernelName:S.AvgPool,backendName:"cpu",kernelFunc:a9};function o9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=a;ae([i,a],"avgPoolBackprop");for(var o=r.filterSize,c=r.strides,l=r.pad,u=S.backend_util.computePool2DInfo(s.shape,o,c,1,l),h=u.strideHeight,d=u.strideWidth,p=u.filterHeight,f=u.filterWidth,m=u.dilationHeight,g=u.dilationWidth,y=u.effectiveFilterHeight,w=u.effectiveFilterWidth,b=w-1-u.padInfo.left,L=y-1-u.padInfo.top,x=S.buffer(s.shape,"float32"),N=1/(p*f),I=e.data.get(i.dataId).values,C=S.buffer(i.shape,"float32",I),O=0;O<u.batchSize;++O)for(var D=0;D<u.inChannels;++D)for(var F=0;F<u.inHeight;++F)for(var k=0;k<u.inWidth;++k){for(var B=F-L,V=k-b,P=0,G=0;G<y;G+=m){var j=(B+G)/h;if(j<0||j>=u.outHeight||Math.floor(j)!==j)continue;for(var q=0;q<w;q+=g){var H=(V+q)/d;if(H<0||H>=u.outWidth||Math.floor(H)!==H)continue;var J=C.get(O,j,H,D);P+=J}}x.set(P*N,O,F,k,D)}return e.makeTensorInfo(x.shape,x.dtype,x.values)}var c9={kernelName:S.AvgPoolBackprop,backendName:"cpu",kernelFunc:o9};function l9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.scale,s=t.offset,o=t.mean,c=t.variance;S.util.assert(o.shape.length===c.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),S.util.assert(s==null||o.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),S.util.assert(a==null||o.shape.length===a.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),ae([i,o,c,a,s],"batchNorm");var l=r.varianceEpsilon;l==null&&(l=.001);for(var u=e.data.get(i.dataId).values,h=e.data.get(o.dataId).values,d=e.data.get(c.dataId).values,p=a?e.data.get(a.dataId).values:new Float32Array([1]),f=s?e.data.get(s.dataId).values:new Float32Array([0]),m=new Float32Array(u.length),g=f.length,y=p.length,w=d.length,b=h.length,L=0,x=0,N=0,I=0,C=0;C<u.length;++C)m[C]=f[L++]+(u[C]-h[x++])*p[N++]/Math.sqrt(d[I++]+l),L>=g&&(L=0),x>=b&&(x=0),N>=y&&(N=0),I>=w&&(I=0);return e.makeTensorInfo(i.shape,i.dtype,m)}var u9={kernelName:S.FusedBatchNorm,backendName:"cpu",kernelFunc:l9};var h9=Ke(S.ClipByValue,function(n,t){var e=t;return n>e.clipValueMax?e.clipValueMax:n<e.clipValueMin?e.clipValueMin:n}),d9={kernelName:S.ClipByValue,backendName:"cpu",kernelFunc:h9};function Go(n){var t=n.inputs,e=n.backend,r=t.input,i=e.data.get(r.dataId).complexTensorInfos.imag,a=e.data.get(i.dataId).values;return e.makeTensorInfo(i.shape,i.dtype,a)}var p9={kernelName:S.Imag,backendName:"cpu",kernelFunc:Go};function rs(n){var t=n.inputs,e=n.backend,r=n.attrs,i=r.axis,a=S.util.parseAxisParam(i,t[0].shape)[0],s=S.backend_util.computeOutShape(t.map(function(L){return L.shape}),a);if(S.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(L){return S.util.sizeFromShape(L.shape)>0});if(o.length===1)return o[0];var c=o.map(function(L){return L.shape});if(S.backend_util.assertParamsConsistent(c,a),o[0].dtype==="complex64"){var l=o.map(function(L){return es({inputs:{input:L},backend:e})}),u=o.map(function(L){return Go({inputs:{input:L},backend:e})}),h=rs({inputs:l,backend:e,attrs:{axis:a}}),d=rs({inputs:u,backend:e,attrs:{axis:a}}),p=An({inputs:{real:h,imag:d},backend:e});return l.forEach(function(L){return e.disposeIntermediateTensorInfo(L)}),u.forEach(function(L){return e.disposeIntermediateTensorInfo(L)}),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}var f=o.map(function(L){var x=S.util.sizeFromShape(L.shape.slice(a)),N=[-1,x];return Bn({inputs:{x:L},backend:e,attrs:{shape:N}})});s=S.backend_util.computeOutShape(f.map(function(L){return L.shape}),1);var m=S.util.getTypedArrayFromDType(o[0].dtype,S.util.sizeFromShape(s));if(f[0].shape[0]===1){var g=0;f.forEach(function(L){var x=e.data.get(L.dataId).values,N=S.util.sizeFromShape(L.shape);m.set(x,g),g+=N})}else{var y=0;f.forEach(function(L){for(var x=e.data.get(L.dataId).values,N=0,I=0;I<L.shape[0];++I)for(var C=I*s[1]+y,O=0;O<L.shape[1];++O)m[C+O]=x[N++];y+=L.shape[1]})}var w=S.backend_util.computeOutShape(o.map(function(L){return L.shape}),a),b=e.makeTensorInfo(w,t[0].dtype,m);return f.forEach(function(L){return e.disposeIntermediateTensorInfo(L)}),b}var f9={kernelName:S.Concat,backendName:"cpu",kernelFunc:rs};function $w(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dataFormat,l=r.dilations,u=r.dimRoundingMode;ae([i,a],"conv2d");for(var h=S.backend_util.convertConv2DDataFormat(c),d=S.backend_util.computeConv2DInfo(i.shape,a.shape,s,l,o,u,!1,h),p=d.filterHeight,f=d.filterWidth,m=d.dilationHeight,g=d.dilationWidth,y=d.padInfo.left,w=d.padInfo.top,b=d.dataFormat==="channelsLast",L=new S.TensorBuffer(d.outShape,i.dtype),x=S.util.computeStrides(i.shape),N=S.util.computeStrides(a.shape),I=x[0],C=b?x[1]:x[2],O=b?x[2]:1,D=b?1:x[1],F=L.strides[0],k=b?L.strides[1]:L.strides[2],B=b?L.strides[2]:1,V=b?1:L.strides[1],P=e.data.get(i.dataId).values,G=e.data.get(a.dataId).values,j=L.values,q=0;q<d.batchSize;++q)for(var H=q*I,J=q*F,$=0;$<d.outHeight;++$)for(var ee=J+$*k,te=$*d.strideHeight-w,ne=0;ne<p;++ne){var re=te+ne*m;if(re<0||re>=d.inHeight)continue;for(var ie=ne*N[0],oe=H+re*C,se=0;se<d.outWidth;++se)for(var me=ee+se*B,ye=se*d.strideWidth-y,we=0;we<f;++we){var Ee=ye+we*g;if(Ee<0||Ee>=d.inWidth)continue;for(var Be=ie+we*N[1],We=oe+Ee*O,Ye=Be,ze=0;ze<d.inChannels;++ze){for(var Ie=P[We+ze*D],ue=0;ue<d.outChannels;++ue)j[me+ue*V]+=Ie*G[Ye+ue];Ye+=d.outChannels}}}return e.makeTensorInfo(L.shape,L.dtype,j)}var m9={kernelName:S.Conv2D,backendName:"cpu",kernelFunc:$w};function g9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.pad,c=r.dataFormat,l=r.dimRoundingMode,u=r.filterShape;ae([i,a],"conv2dBackpropFilter");for(var h=S.backend_util.convertConv2DDataFormat(c),d=S.backend_util.computeConv2DInfo(i.shape,u,s,1,o,l,!1,h),p=d.strideHeight,f=d.strideWidth,m=d.filterHeight,g=d.filterWidth,y=d.dataFormat==="channelsLast",w=new S.TensorBuffer(d.filterShape,"float32"),b=d.padInfo.left,L=d.padInfo.top,x=e.data.get(i.dataId).values,N=e.data.get(a.dataId).values,I=new S.TensorBuffer(i.shape,i.dtype,x),C=new S.TensorBuffer(a.shape,a.dtype,N),O=0;O<m;++O)for(var D=Math.max(0,Math.ceil((L-O)/p)),F=Math.min(d.outHeight,(d.inHeight+L-O)/p),k=0;k<g;++k)for(var B=Math.max(0,Math.ceil((b-k)/f)),V=Math.min(d.outWidth,(d.inWidth+b-k)/f),P=0;P<d.inChannels;++P)for(var G=0;G<d.outChannels;++G){for(var j=0,q=0;q<d.batchSize;++q)for(var H=D;H<F;++H)for(var J=O+H*p-L,$=B;$<V;++$){var ee=k+$*f-b;y?j+=I.get(q,J,ee,P)*C.get(q,H,$,G):j+=I.get(q,P,J,ee)*C.get(q,G,H,$)}w.set(j,O,k,P,G)}return e.makeTensorInfo(w.shape,w.dtype,w.values)}var y9={kernelName:S.Conv2DBackpropFilter,backendName:"cpu",kernelFunc:g9};function v9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.inputShape,o=r.strides,c=r.pad,l=r.dataFormat,u=r.dimRoundingMode;ae([i,a],"conv2dBackpropInput");var h=S.util.computeStrides(a.shape),d=S.util.computeStrides(i.shape),p=S.backend_util.convertConv2DDataFormat(l),f=S.backend_util.computeConv2DInfo(s,a.shape,o,1,c,u,!1,p),m=new S.TensorBuffer(f.inShape,"float32"),g=m.values,y=e.data.get(i.dataId).values,w=e.data.get(a.dataId).values,b=h[0],L=h[1],x=h[2],N=f.batchSize,I=f.filterHeight,C=f.filterWidth,O=f.inChannels,D=f.inHeight,F=f.inWidth,k=f.outChannels,B=f.outHeight,V=f.outWidth,P=f.strideHeight,G=f.strideWidth;p=f.dataFormat;for(var j=I-1-f.padInfo.top,q=C-1-f.padInfo.left,H=p==="channelsLast",J=m.strides[0],$=H?m.strides[1]:m.strides[2],ee=H?m.strides[2]:1,te=H?1:m.strides[1],ne=d[0],re=H?d[1]:d[2],ie=H?d[2]:1,oe=H?1:d[1],se=0;se<N;++se)for(var me=0;me<O;++me)for(var ye=0;ye<D;++ye)for(var we=ye-j,Ee=Math.max(0,Math.ceil(we/P)),Be=Math.min(B,(I+we)/P),We=0;We<F;++We){for(var Ye=We-q,ze=Math.max(0,Math.ceil(Ye/G)),Ie=Math.min(V,(C+Ye)/G),ue=0,Qe=Ee;Qe<Be;++Qe)for(var ft=Qe*P-we,He=ze;He<Ie;++He)for(var Ot=He*G-Ye,ht=ne*se+re*Qe+ie*He,wt=b*(I-1-ft)+L*(C-1-Ot)+x*me,Te=0;Te<k;++Te){var dt=y[ht+oe*Te],mt=w[wt+Te];ue+=dt*mt}var Ve=J*se+$*ye+ee*We+te*me;g[Ve]=ue}return e.makeTensorInfo(m.shape,m.dtype,m.values)}var w9={kernelName:S.Conv2DBackpropInput,backendName:"cpu",kernelFunc:v9};function b9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dilations;ae([i,a],"conv3d");for(var l=S.backend_util.computeConv3DInfo(i.shape,a.shape,s,c,o),u=l.filterDepth,h=l.filterHeight,d=l.filterWidth,p=l.dilationDepth,f=l.dilationHeight,m=l.dilationWidth,g=l.padInfo,y=g.front,w=g.left,b=g.top,L=new S.TensorBuffer(l.outShape,i.dtype),x=e.data.get(i.dataId).values,N=e.data.get(a.dataId).values,I=L.values,C=S.util.computeStrides(i.shape),O=S.util.computeStrides(a.shape),D=0;D<l.batchSize;++D)for(var F=D*C[0],k=D*L.strides[0],B=0;B<l.outDepth;++B)for(var V=k+B*L.strides[1],P=B*l.strideDepth-y,G=0;G<u;++G){var j=P+G*p;if(j<0||j>=l.inDepth)continue;for(var q=G*O[0],H=F+j*C[1],J=0;J<l.outHeight;++J)for(var $=V+J*L.strides[2],ee=J*l.strideHeight-b,te=0;te<h;++te){var ne=ee+te*f;if(ne<0||ne>=l.inHeight)continue;for(var re=q+te*O[1],ie=H+ne*C[2],oe=0;oe<l.outWidth;++oe)for(var se=$+oe*l.outChannels,me=oe*l.strideWidth-w,ye=0;ye<d;++ye){var we=me+ye*m;if(we<0||we>=l.inWidth)continue;for(var Ee=re+ye*O[2],Be=ie+we*l.inChannels,We=Ee,Ye=0;Ye<l.inChannels;++Ye){for(var ze=x[Be+Ye],Ie=0;Ie<l.outChannels;++Ie)I[se+Ie]+=ze*N[We+Ie];We+=l.outChannels}}}}return e.makeTensorInfo(L.shape,L.dtype,L.values)}var x9={kernelName:S.Conv3D,backendName:"cpu",kernelFunc:b9};function L9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.pad,c=r.filterShape;ae([i,a],"conv3dBackpropFilterV2");for(var l=S.util.computeStrides(i.shape),u=S.util.computeStrides(a.shape),h=S.backend_util.computeConv3DInfo(i.shape,c,s,1,o),d=h.strideDepth,p=h.strideHeight,f=h.strideWidth,m=h.filterDepth,g=h.filterHeight,y=h.filterWidth,w=new S.TensorBuffer(h.filterShape,"float32"),b=w.values,L=w.strides,x=L[0],N=L[1],I=L[2],C=L[3],O=e.data.get(a.dataId).values,D=u[0],F=u[1],k=u[2],B=u[3],V=e.data.get(i.dataId).values,P=l[0],G=l[1],j=l[2],q=l[3],H=h.padInfo.front,J=h.padInfo.left,$=h.padInfo.top,ee=0;ee<m;++ee)for(var te=Math.max(0,Math.ceil((H-ee)/d)),ne=Math.min(h.outDepth,(h.inDepth+H-ee)/d),re=ee*x,ie=0;ie<g;++ie)for(var oe=Math.max(0,Math.ceil(($-ie)/p)),se=Math.min(h.outHeight,(h.inHeight+$-ie)/p),me=ie*N+re,ye=0;ye<y;++ye)for(var we=Math.max(0,Math.ceil((J-ye)/f)),Ee=Math.min(h.outWidth,(h.inWidth+J-ye)/f),Be=ye*I+me,We=0;We<h.inChannels;++We)for(var Ye=We*C+Be,ze=0;ze<h.outChannels;++ze){for(var Ie=0,ue=0;ue<h.batchSize;++ue)for(var Qe=ue*P,ft=ue*D,He=te;He<ne;++He)for(var Ot=ee+He*d-H,ht=Ot*G+Qe,wt=He*F+ft,Te=oe;Te<se;++Te)for(var dt=ie+Te*p-$,mt=dt*j+ht,Ve=Te*k+wt,jt=we;jt<Ee;++jt){var Gn=ye+jt*f-J,kt=Gn*q+mt,ma=jt*B+Ve;Ie+=V[kt+We]*O[ma+ze]}b[Ye+ze]=Ie}return e.makeTensorInfo(w.shape,w.dtype,w.values)}var S9={kernelName:S.Conv3DBackpropFilterV2,backendName:"cpu",kernelFunc:L9};function I9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.pad,o=r.strides,c=r.inputShape;ae([i],"conv3dBackpropInputV2");for(var l=S.util.computeStrides(i.shape),u=S.util.computeStrides(a.shape),h=S.backend_util.computeConv3DInfo(c,a.shape,o,1,s),d=new S.TensorBuffer(h.inShape,"float32"),p=d.values,f=d.strides,m=f[0],g=f[1],y=f[2],w=f[3],b=e.data.get(i.dataId).values,L=l[0],x=l[1],N=l[2],I=l[3],C=e.data.get(a.dataId).values,O=u[0],D=u[1],F=u[2],k=u[3],B=h.batchSize,V=h.filterDepth,P=h.filterHeight,G=h.filterWidth,j=h.inChannels,q=h.inDepth,H=h.inHeight,J=h.inWidth,$=h.outChannels,ee=h.outDepth,te=h.outHeight,ne=h.outWidth,re=h.strideDepth,ie=h.strideHeight,oe=h.strideWidth,se=V-1-h.padInfo.front,me=P-1-h.padInfo.top,ye=G-1-h.padInfo.left,we=0;we<B;++we)for(var Ee=0;Ee<j;++Ee)for(var Be=0;Be<q;++Be)for(var We=Be-se,Ye=Math.max(0,Math.ceil(We/re)),ze=Math.min(ee,(V+We)/re),Ie=0;Ie<H;++Ie)for(var ue=Ie-me,Qe=Math.max(0,Math.ceil(ue/ie)),ft=Math.min(te,(P+ue)/ie),He=0;He<J;++He){for(var Ot=He-ye,ht=Math.max(0,Math.ceil(Ot/oe)),wt=Math.min(ne,(G+Ot)/oe),Te=0,dt=Ye;dt<ze;++dt)for(var mt=dt*re-We,Ve=Qe;Ve<ft;++Ve)for(var jt=Ve*ie-ue,Gn=ht;Gn<wt;++Gn)for(var kt=Gn*oe-Ot,ma=L*we+x*dt+N*Ve+I*Gn,sr=O*(V-1-mt)+D*(P-1-jt)+F*(G-1-kt)+k*Ee,wi=0;wi<$;++wi){var fc=b[ma+wi],mc=C[sr+wi];Te+=fc*mc}p[m*we+g*Be+y*Ie+w*He+Ee]=Te}return e.makeTensorInfo(d.shape,d.dtype,d.values)}var A9={kernelName:S.Conv3DBackpropInputV2,backendName:"cpu",kernelFunc:I9};var T9=Ke(S.Cos,function(n){return Math.cos(n)}),N9={kernelName:S.Cos,backendName:"cpu",kernelFunc:T9};var _9=Ke(S.Cosh,function(n){return Math.cosh(n)}),C9={kernelName:S.Cosh,backendName:"cpu",kernelFunc:_9};function Xw(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=r.strides,o=r.pad,c=r.dilations,l=r.dimRoundingMode;ae([i,a],"depthwiseConv2DNative");var u=S.util.computeStrides(i.shape),h=S.util.computeStrides(a.shape),d=c;d==null&&(d=[1,1]),S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,d),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+("1. Got strides "+s+" and dilations '"+d+"'")});for(var p=S.backend_util.computeConv2DInfo(i.shape,a.shape,s,d,o,l,!0),f=p.filterHeight,m=p.filterWidth,g=p.dilationHeight,y=p.dilationWidth,w=p.padInfo,b=w.left,L=w.top,x=p.outChannels/p.inChannels,N=new S.TensorBuffer(p.outShape,i.dtype),I=e.data.get(i.dataId).values,C=e.data.get(a.dataId).values,O=N.values,D=0;D<p.batchSize;++D)for(var F=D*u[0],k=D*N.strides[0],B=0;B<p.outHeight;++B)for(var V=k+B*N.strides[1],P=B*p.strideHeight-b,G=0;G<f;++G){var j=P+G*g;if(j<0||j>=p.inHeight)continue;for(var q=G*h[0],H=F+j*u[1],J=0;J<p.outWidth;++J)for(var $=V+J*N.strides[2],ee=J*p.strideWidth-L,te=0;te<m;++te){var ne=ee+te*y;if(ne<0||ne>=p.inWidth)continue;for(var re=q+te*h[1],ie=H+ne*p.inChannels,oe=$,se=re,me=0;me<p.inChannels;++me){for(var ye=I[ie+me],we=0;we<x;++we)O[oe+we]+=ye*C[se+we];oe+=x,se+=x}}}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var R9={kernelName:S.DepthwiseConv2dNative,backendName:"cpu",kernelFunc:Xw};function O9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.dy,s=r.strides,o=r.dilations,c=r.pad,l=r.dimRoundingMode,u=r.filterShape;ae([i,a],"depthwiseConv2dNativeBackpropFilter");for(var h=S.backend_util.computeConv2DInfo(i.shape,u,s,o,c,l,!0),d=h.strideHeight,p=h.strideWidth,f=h.filterHeight,m=h.filterWidth,g=new S.TensorBuffer(h.filterShape,"float32"),y=h.padInfo.left,w=h.padInfo.top,b=h.outChannels/h.inChannels,L=e.data.get(i.dataId).values,x=new S.TensorBuffer(i.shape,i.dtype,L),N=e.data.get(a.dataId).values,I=new S.TensorBuffer(a.shape,a.dtype,N),C=0;C<f;++C)for(var O=Math.max(0,Math.ceil((w-C)/d)),D=Math.min(h.outHeight,(h.inHeight+w-C)/d),F=0;F<m;++F)for(var k=Math.max(0,Math.ceil((y-F)/p)),B=Math.min(h.outWidth,(h.inWidth+y-F)/p),V=0;V<h.outChannels;++V){for(var P=Math.trunc(V/b),G=V%b,j=0,q=0;q<h.batchSize;++q)for(var H=O;H<D;++H)for(var J=C+H*d-w,$=k;$<B;++$){var ee=F+$*p-y;j+=x.get(q,J,ee,P)*I.get(q,H,$,V)}g.set(j,C,F,P,G)}return e.makeTensorInfo(g.shape,g.dtype,g.values)}var E9={kernelName:S.DepthwiseConv2dNativeBackpropFilter,backendName:"cpu",kernelFunc:O9};function D9(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.filter,s=r.strides,o=r.dilations,c=r.pad,l=r.dimRoundingMode,u=r.inputShape;ae([i,a],"depthwiseConv2DNativeBackpropInput");for(var h=S.util.computeStrides(i.shape),d=S.util.computeStrides(a.shape),p=S.backend_util.computeConv2DInfo(u,a.shape,s,o,c,l,!0),f=new S.TensorBuffer(p.inShape,"float32"),m=f.values,g=f.strides,y=g[0],w=g[1],b=g[2],L=e.data.get(i.dataId).values,x=h[0],N=h[1],I=h[2],C=e.data.get(a.dataId).values,O=d[0],D=d[1],F=d[2],k=p.batchSize,B=p.filterHeight,V=p.filterWidth,P=p.inChannels,G=p.inHeight,j=p.inWidth,q=p.outChannels,H=p.outHeight,J=p.outWidth,$=p.strideHeight,ee=p.strideWidth,te=B-1-p.padInfo.top,ne=V-1-p.padInfo.left,re=q/P,ie=0;ie<k;++ie)for(var oe=0;oe<P;++oe)for(var se=0;se<G;++se)for(var me=se-te,ye=Math.max(0,Math.ceil(me/$)),we=Math.min(H,(B+me)/$),Ee=0;Ee<j;++Ee){for(var Be=Ee-ne,We=Math.max(0,Math.ceil(Be/ee)),Ye=Math.min(J,(V+Be)/ee),ze=0,Ie=ye;Ie<we;++Ie)for(var ue=Ie*$-me,Qe=We;Qe<Ye;++Qe)for(var ft=Qe*ee-Be,He=x*ie+N*Ie+I*Qe,Ot=O*(B-1-ue)+D*(V-1-ft)+F*oe,ht=0;ht<re;++ht){var wt=oe*re+ht,Te=L[He+wt],dt=C[Ot+ht];ze+=Te*dt}m[y*ie+w*se+b*Ee+oe]=ze}return e.makeTensorInfo(f.shape,f.dtype,f.values)}var k9={kernelName:S.DepthwiseConv2dNativeBackpropInput,backendName:"cpu",kernelFunc:D9};var F9={kernelName:S.Dilation2D,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=r,c=o.strides,l=o.pad,u=o.dilations,h=e,d=h.data.get(a.dataId).values,p=a.shape.length,f=h.data.get(s.dataId).values,m=s.shape.length,g=S.backend_util.computeDilation2DInfo(a.shape,s.shape,c,l,"NHWC",u),y=g.batchSize,w=g.inHeight,b=g.inWidth,L=g.inChannels,x=g.outHeight,N=g.outWidth,I=g.padInfo,C=g.strideHeight,O=g.strideWidth,D=g.filterHeight,F=g.filterWidth,k=g.dilationHeight,B=g.dilationWidth,V=g.outShape,P=S.util.sizeFromShape(V),G=V.length,j=S.util.getArrayFromDType(a.dtype,P),q=0;q<y;++q)for(var H=0;H<x;++H)for(var J=H*C-I.top,$=0;$<N;++$)for(var ee=$*O-I.left,te=0;te<L;++te){for(var ne=Number.MIN_SAFE_INTEGER,re=0;re<D;++re){var ie=J+re*k;if(ie>=0&&ie<w)for(var oe=0;oe<F;++oe){var se=ee+oe*B;if(se>=0&&se<b){var me=S.util.locToIndex([q,ie,se,te],p,S.util.computeStrides(a.shape)),ye=S.util.locToIndex([re,oe,te],m,S.util.computeStrides(s.shape)),we=d[me]+f[ye];we>ne&&(ne=we)}}}var Ee=S.util.locToIndex([q,H,$,te],G,S.util.computeStrides(V));j[Ee]=ne}var Be=h.write(S.util.toTypedArray(j,a.dtype),V,a.dtype);return{dataId:Be,shape:V,dtype:a.dtype}}};var W9={kernelName:S.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=i.dy,c=r,l=c.strides,u=c.pad,h=c.dilations,d=e,p=S.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=S.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=S.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",h),g=m.batchSize,y=m.inHeight,w=m.inWidth,b=m.inChannels,L=m.outHeight,x=m.outWidth,N=m.padInfo,I=m.strideHeight,C=m.strideWidth,O=m.filterHeight,D=m.filterWidth,F=m.dilationHeight,k=m.dilationWidth,B=m.outShape;S.util.assert(o.rank===B.length,function(){return"Error in "+S.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+B.length+", but got ")+(""+o.rank)});for(var V=S.util.toNestedArray(B,d.data.get(o.dataId).values),P=S.util.makeZerosNestedTypedArray(s.shape,s.dtype),G=0;G<g;++G)for(var j=0;j<L;++j)for(var q=j*I-N.top,H=0;H<x;++H)for(var J=H*C-N.left,$=0;$<b;++$){for(var ee=Number.MIN_SAFE_INTEGER,te=0,ne=0,re=0;re<O;++re){var ie=q+re*F;if(ie>=0&&ie<y)for(var oe=0;oe<D;++oe){var se=J+oe*k;if(se>=0&&se<w){var me=p[G][ie][se][$]+f[re][oe][$];me>ee&&(ee=me,te=re,ne=oe)}}}P[te][ne][$]+=V[G][j][H][$]}var ye=d.write(S.util.toTypedArray(P,a.dtype),s.shape,s.dtype);return{dataId:ye,shape:s.shape,dtype:s.dtype}}};var U9={kernelName:S.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t,a=i.x,s=i.filter,o=i.dy,c=r,l=c.strides,u=c.pad,h=c.dilations,d=e,p=S.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=S.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=S.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",h),g=m.batchSize,y=m.inHeight,w=m.inWidth,b=m.inChannels,L=m.outHeight,x=m.outWidth,N=m.padInfo,I=m.strideHeight,C=m.strideWidth,O=m.filterHeight,D=m.filterWidth,F=m.dilationHeight,k=m.dilationWidth,B=m.outShape;S.util.assert(o.rank===B.length,function(){return"Error in "+S.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+B.length+", but got ")+(""+o.rank)});for(var V=S.util.toNestedArray(B,d.data.get(o.dataId).values),P=S.util.makeZerosNestedTypedArray(a.shape,a.dtype),G=0;G<g;++G)for(var j=0;j<L;++j)for(var q=j*I-N.top,H=0;H<x;++H)for(var J=H*C-N.left,$=0;$<b;++$){for(var ee=Number.MIN_SAFE_INTEGER,te=q<0?0:q,ne=J<0?0:J,re=0;re<O;++re){var ie=q+re*F;if(ie>=0&&ie<y)for(var oe=0;oe<D;++oe){var se=J+oe*k;if(se>=0&&se<w){var me=p[G][ie][se][$]+f[re][oe][$];me>ee&&(ee=me,te=ie,ne=se)}}}P[G][te][ne][$]+=V[G][j][H][$]}var ye=d.write(S.util.toTypedArray(P,a.dtype),a.shape,a.dtype);return{dataId:ye,shape:a.shape,dtype:a.dtype}}};var B9=Rr(function(n,t){return n/t}),z9=Ji(S.Div,B9),Vd={kernelName:S.Div,backendName:"cpu",kernelFunc:z9};var P9=S.backend_util.ERF_P,M9=S.backend_util.ERF_A1,H9=S.backend_util.ERF_A2,V9=S.backend_util.ERF_A3,G9=S.backend_util.ERF_A4,q9=S.backend_util.ERF_A5,Y9=Ke(S.Erf,function(n){var t=Math.sign(n),e=Math.abs(n),r=1/(1+P9*e);return t*(1-((((q9*r+G9)*r+V9)*r+H9)*r+M9)*r*Math.exp(-e*e))}),K9={kernelName:S.Erf,backendName:"cpu",kernelFunc:Y9};function Jw(n,t,e){for(var r=n.shape,i=r[0],a=r[1],s=e.data.get(n.dataId),o=s.complexTensorInfos.real,c=s.complexTensorInfos.imag,l=[i,a],u=S.util.sizeFromShape(l),h=S.util.getTypedArrayFromDType("float32",u),d=S.util.getTypedArrayFromDType("float32",u),p=0;p<i;p++){for(var f=zd({inputs:{x:o},backend:e,attrs:{begin:[p,0],size:[1,a]}}),m=zd({inputs:{x:c},backend:e,attrs:{begin:[p,0],size:[1,a]}}),g=An({inputs:{real:f,imag:m},backend:e}),y=j9(g,t,e),w=y.real,b=y.imag,L=S.backend_util.mergeRealAndImagArrays(w,b),x=0;x<a;x++){var N=S.backend_util.getComplexWithIndex(L,x);h[p*a+x]=N.real,d[p*a+x]=N.imag}e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g)}var I=e.makeTensorInfo(l,"float32",h),C=e.makeTensorInfo(l,"float32",d),O=An({inputs:{real:I,imag:C},backend:e});return e.disposeIntermediateTensorInfo(I),e.disposeIntermediateTensorInfo(C),O}function j9(n,t,e){var r=S.util.sizeFromShape(n.shape),i=e.data.get(n.dataId),a=e.data.get(i.complexTensorInfos.real.dataId).values,s=e.data.get(i.complexTensorInfos.imag.dataId).values;if($9(r)){var o=Gd(a,s,r,t,e),c=[n.shape[0],n.shape[1]];if(t){var l=e.makeTensorInfo(c,"float32",o.real),u=e.makeTensorInfo(c,"float32",o.imag),h=e.makeTensorInfo([],"float32",S.util.createScalarValue(r,"float32")),d=hi({inputs:{x:h},backend:e}),p=Vd.kernelFunc({inputs:{a:l,b:h},backend:e}),f=Vd.kernelFunc({inputs:{a:u,b:d},backend:e}),m=e.data.get(p.dataId).values,g=e.data.get(f.dataId).values;return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),{real:m,imag:g}}return o}else{var y=S.backend_util.mergeRealAndImagArrays(a,s),w=X9(y,r,t);return S.backend_util.splitRealAndImagArrays(w)}}function $9(n){return(n&n-1)===0}function Gd(n,t,e,r,i){if(e===1)return{real:n,imag:t};var a=S.backend_util.mergeRealAndImagArrays(n,t),s=e/2,o=S.backend_util.complexWithEvenIndex(a),c=o.real,l=o.imag,u=[c.length],h=i.makeTensorInfo(u,"float32",c),d=i.makeTensorInfo(u,"float32",l),p=An({inputs:{real:h,imag:d},backend:i}),f=S.backend_util.complexWithOddIndex(a),m=f.real,g=f.imag,y=[m.length],w=i.makeTensorInfo(y,"float32",m),b=i.makeTensorInfo(y,"float32",g),L=An({inputs:{real:w,imag:b},backend:i}),x=Gd(c,l,s,r,i),N=x.real,I=x.imag,C=[N.length],O=i.makeTensorInfo(C,"float32",N),D=i.makeTensorInfo(C,"float32",I),F=An({inputs:{real:O,imag:D},backend:i}),k=Gd(m,g,s,r,i),B=k.real,V=k.imag,P=[B.length],G=i.makeTensorInfo(P,"float32",B),j=i.makeTensorInfo(P,"float32",V),q=An({inputs:{real:G,imag:j},backend:i}),H=S.backend_util.exponents(e,r),J=[H.real.length],$=i.makeTensorInfo(J,"float32",H.real),ee=i.makeTensorInfo(J,"float32",H.imag),te=An({inputs:{real:$,imag:ee},backend:i}),ne=Fw({inputs:{a:te,b:q},backend:i}),re=ns({inputs:{a:F,b:ne},backend:i}),ie=Mw({inputs:{a:F,b:ne},backend:i}),oe=es({inputs:{input:re},backend:i}),se=es({inputs:{input:ie},backend:i}),me=Go({inputs:{input:re},backend:i}),ye=Go({inputs:{input:ie},backend:i}),we=rs({inputs:[oe,se],backend:i,attrs:{axis:0}}),Ee=rs({inputs:[me,ye],backend:i,attrs:{axis:0}}),Be=i.data.get(we.dataId).values,We=i.data.get(Ee.dataId).values;return i.disposeIntermediateTensorInfo(h),i.disposeIntermediateTensorInfo(d),i.disposeIntermediateTensorInfo(p),i.disposeIntermediateTensorInfo(w),i.disposeIntermediateTensorInfo(b),i.disposeIntermediateTensorInfo(L),i.disposeIntermediateTensorInfo(O),i.disposeIntermediateTensorInfo(D),i.disposeIntermediateTensorInfo(F),i.disposeIntermediateTensorInfo(G),i.disposeIntermediateTensorInfo(j),i.disposeIntermediateTensorInfo(q),i.disposeIntermediateTensorInfo($),i.disposeIntermediateTensorInfo(ee),i.disposeIntermediateTensorInfo(te),i.disposeIntermediateTensorInfo(ne),i.disposeIntermediateTensorInfo(re),i.disposeIntermediateTensorInfo(ie),i.disposeIntermediateTensorInfo(oe),i.disposeIntermediateTensorInfo(me),i.disposeIntermediateTensorInfo(se),i.disposeIntermediateTensorInfo(ye),i.disposeIntermediateTensorInfo(we),i.disposeIntermediateTensorInfo(Ee),{real:Be,imag:We}}function X9(n,t,e){for(var r=new Float32Array(t*2),i=0;i<t;i++){for(var a=0,s=0,o=0;o<t;o++){var c=S.backend_util.exponent(i*o,t,e),l=S.backend_util.getComplexWithIndex(n,o);a+=l.real*c.real-l.imag*c.imag,s+=l.real*c.imag+l.imag*c.real}e&&(a/=t,s/=t),S.backend_util.assignToTypedArray(r,a,s,i)}return r}function J9(n){var t=n.inputs,e=n.backend,r=t.input,i=S.util.sizeFromShape(r.shape),a=r.shape[r.shape.length-1],s=i/a,o=Bn({inputs:{x:r},backend:e,attrs:{shape:[s,a]}}),c=Jw(o,!1,e),l=Bn({inputs:{x:c},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(c),l}var Z9={kernelName:S.FFT,backendName:"cpu",kernelFunc:J9};function eF(n){var t=n.backend,e=n.attrs,r=e.shape,i=e.value,a=e.dtype,s=a||S.util.inferDtype(i),o=S.util.getArrayFromDType(s,S.util.sizeFromShape(r));return Q9(o,i,s),t.makeTensorInfo(r,s,o)}var tF={kernelName:S.Fill,backendName:"cpu",kernelFunc:eF};function Q9(n,t,e){e==="string",n.fill(t)}var nF={kernelName:S.FlipLeftRight,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,r=n.backend,i=t.image,a=r,s=S.util.getTypedArrayFromDType(i.dtype,S.util.sizeFromShape(i.shape)),o=i.shape,c=o[0],l=o[1],u=o[2],h=o[3],d=a.data.get(i.dataId).values,p=0;p<c;p++)for(var f=p*u*l*h,m=0;m<l;m++)for(var g=m*(u*h),y=0;y<u;y++)for(var w=y*h,b=0;b<h;b++){var L=[c,m,y,b],x=L[2],N=Math.round(u-x),I=f+g+w+b,C=d[I];if(N>=0&&N<u){var O=N*h,D=f+g+O+b;C=d[D]}s[I]=C}var F=a.write(s,i.shape,i.dtype);return{dataId:F,shape:i.shape,dtype:i.dtype}}};function rF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=t.bias,o=t.preluActivationWeights,c=r.strides,l=r.pad,u=r.dataFormat,h=r.dilations,d=r.dimRoundingMode,p=r.activation,f=$w({inputs:{x:i,filter:a},backend:e,attrs:{strides:c,pad:l,dataFormat:u,dilations:h,dimRoundingMode:d}});if(s){var m=f;f=ns({inputs:{a:f,b:s},backend:e}),e.disposeIntermediateTensorInfo(m)}if(p){var m=f;f=Md(e,f,p,o),e.disposeIntermediateTensorInfo(m)}return f}var iF={kernelName:S.FusedConv2D,backendName:"cpu",kernelFunc:rF};function aF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.filter,s=t.bias,o=t.preluActivationWeights,c=r.strides,l=r.pad,u=r.dataFormat,h=r.dilations,d=r.dimRoundingMode,p=r.activation,f=Xw({inputs:{x:i,filter:a},backend:e,attrs:{strides:c,pad:l,dataFormat:u,dilations:h,dimRoundingMode:d}});if(s){var m=f;f=ns({inputs:{a:f,b:s},backend:e}),e.disposeIntermediateTensorInfo(m)}if(p){var m=f;f=Md(e,f,p,o),e.disposeIntermediateTensorInfo(m)}return f}var sF={kernelName:S.FusedDepthwiseConv2D,backendName:"cpu",kernelFunc:aF};function oF(n){var t=n.inputs,e=n.backend,r=t.input,i=S.util.sizeFromShape(r.shape),a=r.shape[r.shape.length-1],s=i/a,o=Bn({inputs:{x:r},backend:e,attrs:{shape:[s,a]}}),c=Jw(o,!0,e),l=Bn({inputs:{x:c},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(c),l}var cF={kernelName:S.IFFT,backendName:"cpu",kernelFunc:oF};var lF=Ke(S.IsFinite,function(n){return Number.isFinite(n)?1:0},"bool"),uF={kernelName:S.IsFinite,backendName:"cpu",kernelFunc:lF};var hF=Ke(S.IsInf,function(n){return Math.abs(n)===Infinity?1:0},"bool"),dF={kernelName:S.IsInf,backendName:"cpu",kernelFunc:hF};var pF=Ke(S.IsNan,function(n){return Number.isNaN(n)?1:0},"bool"),fF={kernelName:S.IsNan,backendName:"cpu",kernelFunc:pF};var mF=Ke(S.Log1p,function(n){return Math.log1p(n)}),gF={kernelName:S.Log1p,backendName:"cpu",kernelFunc:mF};var yF=Ke(S.LogicalNot,function(n){return n?0:1},"bool"),vF={kernelName:S.LogicalNot,backendName:"cpu",kernelFunc:yF};var wF={kernelName:S.Max,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.reductionIndices,o=a.keepDims,c=r,l=i.shape,u=l.length,h=S.util.parseAxisParam(s,l),d=h,p=S.backend_util.getAxesPermutation(d,u),f=c.data.get(i.dataId).values;if(p!=null){for(var m=new Array(u),g=0;g<m.length;g++)m[g]=l[p[g]];f=Pd(f,l,i.dtype,p,m),d=S.backend_util.getInnerMostAxes(d.length,u),l=m}ae(i,"max"),S.backend_util.assertAxesAreInnerMostDims("max",d,u);var y=S.backend_util.computeOutAndReduceShapes(l,d),w=y[0],b=y[1],L=S.util.sizeFromShape(b),x=Dw(f,L,w,i.dtype),N=c.write(x,w,i.dtype),I=w;if(o){var m=S.backend_util.expandShapeToKeepDim(w,h);I=m}return{dataId:N,shape:I,dtype:i.dtype}}};function bF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ae(i,"maxPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;S.util.assert(S.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in maxPool: Either strides or dilations must be 1. 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c=r.filterSize,l=r.strides,u=r.pad,h=r.dimRoundingMode,d=S.backend_util.computePool2DInfo(o.shape,c,l,1,u,h),p=e.data.get(o.dataId).values,f=S.buffer(d.outShape,o.dtype,jw(p,o.shape,o.dtype,d).values),m=d.strideHeight,g=d.strideWidth,y=d.dilationHeight,w=d.dilationWidth,b=d.effectiveFilterHeight,L=d.effectiveFilterWidth,x=L-1-d.padInfo.left,N=b-1-d.padInfo.top,I=S.buffer(o.shape,"float32"),C=e.data.get(i.dataId).values,O=S.buffer(i.shape,"float32",C),D=0;D<d.batchSize;++D)for(var F=0;F<d.inChannels;++F)for(var k=0;k<d.inHeight;++k)for(var B=0;B<d.inWidth;++B){for(var V=k-N,P=B-x,G=0,j=0;j<b;j+=y){var q=(V+j)/m;if(q<0||q>=d.outHeight||Math.floor(q)!==q)continue;for(var H=0;H<L;H+=w){var J=(P+H)/g;if(J<0||J>=d.outWidth||Math.floor(J)!==J)continue;var $=b*L-1-f.get(D,q,J,F),ee=j*L+H,te=$===ee?1:0;if(te===0)continue;var ne=O.get(D,q,J,F);G+=ne*te}}I.set(G,D,k,B,F)}return e.makeTensorInfo(I.shape,I.dtype,I.values)}var SF={kernelName:S.MaxPoolBackprop,backendName:"cpu",kernelFunc:LF};function IF(n,t,e,r,i){var a=S.util.computeStrides(t),s=Hd(n,t,e,a,i,"max"),o=jw(n,t,e,i,!0,r);return[s.values,o.values]}var AF={kernelName:S.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.filterSize,o=a.strides,c=a.pad,l=a.includeBatchInIndex,u=r;ae(i,"MaxPoolWithArgmax");var h=u.data.get(i.dataId).values,d=S.backend_util.computePool2DInfo(i.shape,s,o,[1,1],c),p=IF(h,i.shape,i.dtype,l,d),f=p[0],m=p[1],g=u.write(f,d.outShape,i.dtype),y=u.write(m,d.outShape,i.dtype);return[{dataId:g,shape:d.outShape,dtype:i.dtype},{dataId:y,shape:d.outShape,dtype:"int32"}]}};function TF(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.paddings,s=r.mode;ae(i,"mirrorPad");for(var o=a.map(function(I,C){return I[0]+i.shape[C]+I[1]}),c=a.map(function(I){return I[0]}),l=a.map(function(I,C){return 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Xo(n){return n%2===0}function ls(n,t){if(n=n.slice(-2),t=t.slice(-2),_.util.arraysEqual(n,t))return!0;if(!n.length||!t.length)return!0;if(n[0]===0||n[1]===0||t[0]===0||t[1]===0)return!0;if(n.length!==t.length){var e=n.slice(-1)[0],r=t.slice(-1)[0];if(e===r)return!0;if(Xo(e)&&Xo(r)&&(n[0]===1||t[0]===1))return!0}return n[1]===t[1]&&Xo(n[0])&&Xo(t[0])}var Jo,Zo;function Lb(n){if(Jo==null){var t=Pn(n);Jo=t.getParameter(t.MAX_TEXTURE_SIZE)}return Jo}function _W(){Jo=null}function CW(){Zo=null}function Sb(n){if(Zo==null){var t=Pn(n);Zo=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Zo)}function Ib(n){if(n===0)return 0;var t,e=Pn(n);return ln(e,"EXT_disjoint_timer_query_webgl2")&&n===2?t=2:ln(e,"EXT_disjoint_timer_query")?t=1:t=0,t}function ln(n,t){var e=n.getExtension(t);return e!=null}function Jd(n){try{var t=Pn(n);if(t!=null)return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function Ab(n){if(n===0)return!1;var t=Pn(n);if(n===1){if(!ln(t,"OES_texture_float"))return!1}else if(!ln(t,"EXT_color_buffer_float"))return!1;var e=Zd(t);return e}function Tb(n){if(n===0)return!1;var t=Pn(n);if(n===1){if(!ln(t,"OES_texture_float"))return!1;if(!ln(t,"WEBGL_color_buffer_float"))return!1}else{if(ln(t,"EXT_color_buffer_float"))return Zd(t);var e="EXT_color_buffer_half_float";if(ln(t,e)){var r=t.getExtension(e);return RW(t,r)}return!1}var i=Zd(t);return i}function Zd(n){var t=jd(n),e=n.createTexture();n.bindTexture(n.TEXTURE_2D,e);var r=1,i=1;n.texImage2D(n.TEXTURE_2D,0,t.internalFormatFloat,r,i,0,t.textureFormatFloat,t.textureTypeFloat,null);var a=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,a),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,e,0);var s=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(e),n.deleteFramebuffer(a),s}function RW(n,t){var e=jd(n,t),r=n.createTexture();n.bindTexture(n.TEXTURE_2D,r);var i=1,a=1;n.texImage2D(n.TEXTURE_2D,0,e.internalFormatHalfFloat,i,a,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);var s=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,s),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,r,0);var o=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(r),n.deleteFramebuffer(s),o}function Nb(n){if(n!==2)return!1;var t=Pn(n),e=t.fenceSync!=null;return e}function ta(n,t){Array.isArray(n)||(n=[n]),n.forEach(function(e){e!=null&&_.util.assert(e.dtype!=="complex64",function(){return t+" does not support complex64 tensors in the WebGL backend."})})}var OW={__proto__:null,callAndCheck:de,canBeRepresented:ab,getWebGLErrorMessage:ib,getExtensionOrThrow:os,createVertexShader:sb,createFragmentShader:ob,createProgram:cb,linkProgram:lb,validateProgram:Ko,createStaticVertexBuffer:ub,createStaticIndexBuffer:hb,getNumChannels:AW,createTexture:db,validateTextureSize:pb,createFramebuffer:fb,bindVertexBufferToProgramAttribute:$d,bindTextureUnit:gb,unbindTextureUnit:TW,getProgramUniformLocationOrThrow:yb,getProgramUniformLocation:vb,bindTextureToProgramUniformSampler:wb,bindCanvasToFramebuffer:NW,bindColorTextureToFramebuffer:jo,unbindColorTextureFromFramebuffer:Xd,validateFramebuffer:cs,getFramebufferErrorMessage:bb,getBatchDim:pi,getRowsCols:fi,getShapeAs3D:$o,getTextureShapeFromLogicalShape:xb,isReshapeFree:ls,getWebGLMaxTextureSize:Lb,resetMaxTextureSize:_W,resetMaxTexturesInShader:CW,getMaxTexturesInShader:Sb,getWebGLDisjointQueryTimerVersion:Ib,hasExtension:ln,isWebGLVersionEnabled:Jd,isCapableOfRenderingToFloatTexture:Ab,isDownloadFloatTextureEnabled:Tb,isWebGLFenceEnabled:Nb,assertNotComplex:ta};var Se=_.env();Se.registerFlag("HAS_WEBGL",function(){return Se.getNumber("WEBGL_VERSION")>0});Se.registerFlag("WEBGL_VERSION",function(){return Jd(2)?2:Jd(1)?1:0});Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",function(){return!1});Se.registerFlag("WEBGL_BUFFER_SUPPORTED",function(){return Se.get("WEBGL_VERSION")===2});Se.registerFlag("WEBGL_CPU_FORWARD",function(){return!0});Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",function(){return!1});Se.registerFlag("WEBGL_PACK",function(){return Se.getBool("HAS_WEBGL")});Se.registerFlag("WEBGL_PACK_NORMALIZATION",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_CLIP",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",function(){return!1});Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_REDUCE",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_LAZILY_UNPACK",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_CONV_IM2COL",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",function(){return Lb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",function(){return Sb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",function(){var n=Se.getNumber("WEBGL_VERSION");return n===0?0:Ib(n)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",function(){return Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!_.device_util.isMobile()});Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",function(){return Ab(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",function(){return Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")});Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",function(){return Tb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_FENCE_API_ENABLED",function(){return Nb(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",function(){var n=Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED");return n?4:0});Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",function(){return-1},function(n){if(n<0&&n!==-1)throw new Error("WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never "+("delete) or at least 0, but got "+n+"."))});function EW(n){const t=new Float32Array(n.length);for(let e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}function Qd(n){return(t,e,r,i,a)=>{const s=_.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,c=_.util.computeStrides(s),l=_.util.sizeFromShape(s),u=_.util.getTypedArrayFromDType(a,l),h=t.length,d=e.length,p=_.util.computeStrides(t),f=_.util.computeStrides(e),m=_.backend_util.getBroadcastDims(t,s),g=_.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(let y=0;y<u.length;++y)u[y]=n(r[y%r.length],i[y%i.length]);else for(let y=0;y<u.length;++y){const w=_.util.indexToLoc(y,o,c),b=w.slice(-h);m.forEach(I=>b[I]=0);const L=_.util.locToIndex(b,h,p),x=w.slice(-d);g.forEach(I=>x[I]=0);const N=_.util.locToIndex(x,d,f);u[y]=n(r[L],i[N])}return[u,s]}}const DW=Qd((n,t)=>n+t);function na(n){return(t,e,r)=>{const i=_.util.getTypedArrayFromDType(e,t.length);for(let a=0;a<t.length;++a)i[a]=n(t[a],r);return i}}const kW=na(n=>Math.ceil(n));const FW=na(n=>Math.exp(n));const WW=na(n=>Math.expm1(n));const UW=na(n=>Math.floor(n));const BW=na(n=>Math.log(n));function zW(n,t,e,r){const i=_.util.getTypedArrayFromDType(r,_.util.sizeFromShape(e));for(let a=0;a<i.length;++a){const s=a*t;let o=n[s];for(let c=0;c<t;++c){const l=n[s+c];l>o&&(o=l)}i[a]=o}return i}const PW=Qd((n,t)=>n*t);const MW=na(n=>1/Math.sqrt(n));function HW(n,t,e,r,i){const a=_.slice_util.isSliceContinous(r,t,e),s=_.util.sizeFromShape(e),o=_.util.computeStrides(r);if(a){const l=_.slice_util.computeFlatOffset(t,o);return n.subarray(l,l+s)}const c=_.util.getTypedArrayFromDType(i,s);for(let l=0;l<s;++l){const u=e.length,h=_.util.computeStrides(e),d=_.util.indexToLoc(l,u,h),p=d.map((m,g)=>m+t[g]),f=_.util.locToIndex(p,r.length,o);c[l]=n[f]}return c}const VW=Qd((n,t)=>n-t);function GW(n,t,e,r,i){const a=t.length,s=_.util.sizeFromShape(t),o=_.util.computeStrides(t),c=_.util.computeStrides(i),l=_.util.getTypedArrayFromDType(e,_.util.sizeFromShape(i));for(let u=0;u<s;++u){const h=_.util.indexToLoc(u,a,o),d=new Array(h.length);for(let f=0;f<d.length;f++)d[f]=h[r[f]];const p=_.util.locToIndex(d,a,c);l[p]=n[u]}return l}function qW(n,t,e,r){const i=_.util.parseAxisParam(t,e)[0],a=[1,e[0],1];for(let f=0;f<i;f++)a[0]*=e[f];a[1]=e[i];for(let f=i+1;f<e.length;f++)a[2]*=e[f];const s={},o=new Int32Array(e[i]),c=new _.TensorBuffer(a,r,n),l=[],u=a[0]===1&&a[2]===1;for(let f=0;f<e[i];f++){let m;if(u)m=n[f].toString();else{const g=[];for(let y=0;y<a[0];y++)for(let w=0;w<a[2];w++)g.push(c.get(y,f,w));m=g.join(",")}if(s[m]!==void 0)o[f]=s[m];else{const g=Object.keys(s).length;s[m]=g,o[f]=g,l.push(f)}}const h=a.slice();h[1]=Object.keys(s).length;const d=new _.TensorBuffer(h,r);l.forEach((f,m)=>{for(let g=0;g<a[0];g++)for(let y=0;y<a[2];y++)d.set(c.get(g,f,y),g,m,y)});const p=e.slice();return p[i]=h[1],{outputValues:d.values,outputShape:p,indices:o}}var YW=EW,KW=DW,jW=kW,$W=FW,XW=WW,JW=UW,ZW=BW,QW=zW,eU=PW,tU=MW,nU=HW,rU=VW,ep=GW,iU=qW;var aU=function(){function n(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var r=[];this.variableNames.forEach(function(a){r.push("float v"+a+" = get"+a+"AtOutCoords();")});var i=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
void main() {
`+r.join(`
`)+`
float result = `+i+`;
setOutput(result);
}
`}return n}();var sU=function(){function n(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var r=[];this.variableNames.forEach(function(a){r.push("vec4 v"+a+" = get"+a+"AtOutCoords();")});var i=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
void main() {
`+r.join(`
`)+`
vec4 result = `+i+`;
setOutput(result);
}
`}return n}();var oU=function(){function n(t,e,r){this.variableNames=["A"];var i=t.windowSize,a=t.batchSize,s=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];var o=e==="max"?">":"<",c=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * `+i+`;
int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
for (int i = 0; i < `+i+`; i++) {
int inIdx = `+c+`;
float candidate = getA(batch, inIdx);
if (candidate `+o+` bestValue) {
bestValue = candidate;
bestIndex = inIdx;
}
}
setOutput(float(bestIndex));
}
`}return n}();function _b(n,t){return["x","y","z","w","u","v"].slice(0,t).map(function(e){return n+"."+e})}function Bt(n,t){return t===1?[n]:_b(n,t)}function cU(n,t){if(n===1)return"rc";for(var e="",r=0;r<n;r++)e+=t[r],r<n-1&&(e+=",");return e}function zt(){var n,t,e,r,i,a,s,o,c,l;return _.env().getNumber("WEBGL_VERSION")===2?(n="#version 300 es",t="in",e="out",r="in",i="texture",a="outputColor",s="out vec4 outputColor;",o=`
bool isnan_custom(float val) {
return (val > 0.0 || val < 0.0) ? false : val != 0.0;
}
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan_custom(val.x),
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}
#define isnan(value) isnan_custom(value)
`,c="",l=`
#define round(value) newRound(value)
int newRound(float value) {
return int(floor(value + 0.5));
}
ivec4 newRound(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
`):(n="",t="attribute",e="varying",r="varying",i="texture2D",a="gl_FragColor",s="",o=`
#define isnan(value) isnan_custom(value)
bool isnan_custom(float val) {
return (val > 0. || val < 1. || val == 0.) ? false : true;
}
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
}
`,c=`
uniform float INFINITY;
bool isinf(float val) {
return abs(val) == INFINITY;
}
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
}
`,l=`
int round(float value) {
return int(floor(value + 0.5));
}
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
`),{version:n,attribute:t,varyingVs:e,varyingFs:r,texture2D:i,output:a,defineOutput:s,defineSpecialNaN:o,defineSpecialInf:c,defineRound:l}}function mi(n,t,e){e===void 0&&(e="index");var r=_.util.computeStrides(t);return r.map(function(i,a){var s="int "+n[a]+" = "+e+" / "+i,o=a===r.length-1?"int "+n[a+1]+" = "+e+" - "+n[a]+" * "+i:"index -= "+n[a]+" * "+i;return s+"; "+o+";"}).join("")}function tp(n){var t=_.util.computeStrides(n).map(function(e){return e.toString()});return`
int getFlatIndex(ivec3 coords) {
return coords.x * `+t[0]+" + coords.y * "+t[1]+` + coords.z;
}
`}var Cb=`
const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
}
highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
}
`;var Rb=_.backend_util.getBroadcastDims;function yU(n,t,e,r){var i=[];n.forEach(function(f){var m=_.util.sizeFromShape(f.shapeInfo.logicalShape);f.shapeInfo.isUniform?i.push("uniform float "+f.name+(m>1?"["+m+"]":"")+";"):(i.push("uniform sampler2D "+f.name+";"),i.push("uniform int offset"+f.name+";"))});var a=i.join(`
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float sampleTexture(sampler2D textureSampler, vec2 uv) {
return `+n.texture2D+`(textureSampler, uv).r;
}
`}function pU(n){return`
void setOutput(float val) {
`+n.output+` = vec4(val, 0, 0, 0);
}
`}function fU(n){return`
void setOutput(vec4 val) {
`+n.output+` = val;
}
`}function mU(n){var t=n.version+`
precision highp float;
precision highp int;
precision highp sampler2D;
`+n.varyingFs+` vec2 resultUV;
`+n.defineOutput+`
const vec2 halfCR = vec2(0.5, 0.5);
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
};
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
};
uniform float NAN;
`+n.defineSpecialNaN+`
`+n.defineSpecialInf+`
`+n.defineRound+`
int imod(int x, int y) {
return x - y * (x / y);
}
int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
}
return res;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
}
`+HU+`
`+VU+`
`+GU+`
`;return t}var HU=`
vec2 uvFromFlat(int texNumR, int texNumC, int index) {
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
int texelIndex = index / 2;
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,VU=`
vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,
int texNumC, int row, int col) {
int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,GU=`
vec2 packedUVfrom3D(int texNumR, int texNumC,
int texelsInBatch, int texelsInLogicalRow, int b,
int row, int col) {
int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
`,gU=`
float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
(modCoord.y == 0. ? frag.r : frag.g) :
(modCoord.y == 0. ? frag.b : frag.a);
}
float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
}
`;function Eb(){return`
int getOutputCoords() {
return 0;
}
`}function EU(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return e[0]===1?`
int getOutputCoords() {
return 2 * int(resultUV.x * `+e[1]+`.0);
}
`:e[1]===1?`
int getOutputCoords() {
return 2 * int(resultUV.y * `+e[0]+`.0);
}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
return 2 * (resTexRC.x * `+e[1]+` + resTexRC.y);
}
`}function WU(n,t){return t[0]===1?`
int getOutputCoords() {
return int(resultUV.x * `+t[1]+`.0);
}
`:t[1]===1?`
int getOutputCoords() {
return int(resultUV.y * `+t[0]+`.0);
}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
return resTexRC.x * `+t[1]+` + resTexRC.y;
}
`}function DU(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(n[2]/2),i=r*Math.ceil(n[1]/2);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
int b = index / `+i+`;
index -= b * `+i+`;
int r = 2 * (index / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec3(b, r, c);
}
`}function UU(n,t){var e=mi(["r","c","d"],n);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
`+e+`
return ivec3(r, c, d);
}
`}function kU(n,t){for(var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(n[n.length-1]/2),i=r*Math.ceil(n[n.length-2]/2),a=i,s="",o="b, r, c",c=2;c<n.length-1;c++)a*=n[n.length-c-1],s=`
int b`+c+" = index / "+a+`;
index -= b`+c+" * "+a+`;
`+s,o="b"+c+", "+o;return`
ivec`+n.length+` getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
`+s+`
int b = index / `+i+`;
index -= b * `+i+`;
int r = 2 * (index / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec`+n.length+"("+o+`);
}
`}function BU(n,t){var e=mi(["r","c","d","d2"],n);return`
ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
`+e+`
return ivec4(r, c, d, d2);
}
`}function zU(n,t){var e=mi(["r","c","d","d2","d3"],n);return`
ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(`+t[0]+`,
`+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
`+e+`
ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
}
`}function PU(n,t){var e=mi(["r","c","d","d2","d3","d4"],n);return`
ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
`+e+`
ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
}
`}function FU(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(_.util.arraysEqual(n,t))return`
ivec2 getOutputCoords() {
return 2 * ivec2(resultUV.yx * vec2(`+e[0]+", "+e[1]+`));
}
`;var r=Math.ceil(n[1]/2);return`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
int r = 2 * (index / `+r+`);
int c = imod(index, `+r+`) * 2;
return ivec2(r, c);
}
`}function MU(n,t){return _.util.arraysEqual(n,t)?`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(`+t[0]+", "+t[1]+`));
}
`:n[1]===1?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
return ivec2(index, 0);
}
`:n[0]===1?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
return ivec2(0, index);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+t[0]+", "+t[1]+`));
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
int r = index / `+n[1]+`;
int c = index - r * `+n[1]+`;
return ivec2(r, c);
}
`}function gi(n){return"offset"+n}function AU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),r=zt();return`
vec4 `+e+`() {
return `+r.texture2D+"("+t+`, halfCR);
}
`}function vU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return"float "+e+"() {return "+t+";}";var r=n.shapeInfo.texShape,i=r[0],a=r[1];if(i===1&&a===1)return`
float `+e+`() {
return sampleTexture(`+t+`, halfCR);
}
`;var s=n.shapeInfo.texShape,o=s[0],c=s[1],l=gi(t);return`
float `+e+`() {
vec2 uv = uvFromFlat(`+o+", "+c+", "+l+`);
return sampleTexture(`+t+`, uv);
}
`}function TU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),r=n.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=zt();return`
vec4 `+e+`(int index) {
vec2 uv = packedUVfrom1D(
`+i[0]+", "+i[1]+`, index);
return `+a.texture2D+"("+t+`, uv);
}
`}function wU(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return`
float `+e+`(int index) {
`+ia(n)+`
}
`;var r=n.shapeInfo.texShape,i=r[0],a=r[1];if(a===1&&i===1)return`
float `+e+`(int index) {
return sampleTexture(`+t+`, halfCR);
}
`;var s=gi(t);return a===1?`
float `+e+`(int index) {
vec2 uv = vec2(0.5, (float(index + `+s+") + 0.5) / "+i+`.0);
return sampleTexture(`+t+`, uv);
}
`:i===1?`
float `+e+`(int index) {
vec2 uv = vec2((float(index + `+s+") + 0.5) / "+a+`.0, 0.5);
return sampleTexture(`+t+`, uv);
}
`:`
float `+e+`(int index) {
vec2 uv = uvFromFlat(`+i+", "+a+", index + "+s+`);
return sampleTexture(`+t+`, uv);
}
`}function NU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape,a=i[0],s=i[1],o=zt();if(i!=null&&_.util.arraysEqual(t,i))return`
vec4 `+r+`(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
return `+o.texture2D+"("+e+`, uv);
}
`;var c=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(t[1]/2);return`
vec4 `+r+`(int row, int col) {
vec2 uv = packedUVfrom2D(`+l+", "+c[0]+", "+c[1]+`, row, col);
return `+o.texture2D+"("+e+`, uv);
}
`}function bU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape;if(i!=null&&_.util.arraysEqual(t,i)){var a=i[0],s=i[1];return`
float `+r+`(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
return sampleTexture(`+e+`, uv);
}
`}var o=_.util.squeezeShape(t),c=o.newShape,l=o.keptDims,u=c;if(u.length<t.length){var h=aa(n,u),d=["row","col"];return`
`+ra(h)+`
float `+r+`(int row, int col) {
return `+r+"("+sa(d,l)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col) {
int index = round(dot(vec2(row, col), vec2(`+t[1]+`, 1)));
`+ia(n)+`
}
`;var p=i[0],f=i[1],m=gi(e);return f===1?`
float `+r+`(int row, int col) {
float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / `+p+`.0);
return sampleTexture(`+e+`, uv);
}
`:p===1?`
float `+r+`(int row, int col) {
float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
vec2 uv = vec2((index + 0.5) / `+f+`.0, 0.5);
return sampleTexture(`+e+`, uv);
}
`:`
float `+r+`(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+t[1]+" + col + "+m+`;
vec2 uv = uvFromFlat(`+p+", "+f+`, index);
return sampleTexture(`+e+`, uv);
}
`}function _U(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=n.shapeInfo.texShape,a=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(t[0]===1){var s=t.slice(1),o=[1,2],c=aa(n,s),l=["b","row","col"];return`
`+Ob(c)+`
vec4 `+r+`(int b, int row, int col) {
return `+r+"("+sa(l,o)+`);
}
`}var u=a[0],h=a[1],d=Math.ceil(t[2]/2),p=d*Math.ceil(t[1]/2),f=zt();return`
vec4 `+r+`(int b, int row, int col) {
vec2 uv = packedUVfrom3D(
`+u+", "+h+", "+p+", "+d+`, b, row, col);
return `+f.texture2D+"("+e+`, uv);
}
`}function xU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[1]*t[2],a=t[2],s=_.util.squeezeShape(t),o=s.newShape,c=s.keptDims,l=o;if(l.length<t.length){var u=aa(n,l),h=["row","col","depth"];return`
`+ra(u)+`
float `+r+`(int row, int col, int depth) {
return `+r+"("+sa(h,c)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth) {
int index = round(dot(vec3(row, col, depth),
vec3(`+i+", "+a+`, 1)));
`+ia(n)+`
}
`;var d=n.shapeInfo.texShape,p=d[0],f=d[1],m=n.shapeInfo.flatOffset;if(f===i&&m==null)return`
float `+r+`(int row, int col, int depth) {
float texR = float(row);
float texC = dot(vec2(col, depth), vec2(`+a+`, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+f+".0, "+p+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(f===a&&m==null)return`
float `+r+`(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(`+t[1]+`, 1));
float texC = float(depth);
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+f+".0, "+p+`.0);
return sampleTexture(`+e+`, uv);
}
`;var g=gi(e);return`
float `+r+`(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+i+" + col * "+a+" + depth + "+g+`;
vec2 uv = uvFromFlat(`+p+", "+f+`, index);
return sampleTexture(`+e+`, uv);
}
`}function CU(n){for(var t=n.shapeInfo.logicalShape,e=t.length,r=n.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=n.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=s[0],c=s[1],l=Math.ceil(t[e-1]/2),u=l*Math.ceil(t[e-2]/2),h="int b, int row, int col",d="b * "+u+" + (row / 2) * "+l+" + (col / 2)",p=2;p<e-1;p++)h="int b"+p+", "+h,u*=t[e-p-1],d="b"+p+" * "+u+" + "+d;var f=zt();return`
vec4 `+i+"("+h+`) {
int index = `+d+`;
int texR = index / `+c+`;
int texC = index - texR * `+c+`;
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+c+", "+o+`);
return `+f.texture2D+"("+r+`, uv);
}
`}function LU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[3],a=t[2]*i,s=t[1]*a,o=_.util.squeezeShape(t),c=o.newShape,l=o.keptDims;if(c.length<t.length){var u=aa(n,c),h=["row","col","depth","depth2"];return`
`+ra(u)+`
float `+r+`(int row, int col, int depth, int depth2) {
return `+r+"("+sa(h,l)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth, int depth2) {
int index = round(dot(vec4(row, col, depth, depth2),
vec4(`+s+", "+a+", "+i+`, 1)));
`+ia(n)+`
}
`;var d=n.shapeInfo.flatOffset,p=n.shapeInfo.texShape,f=p[0],m=p[1];if(m===s&&d==null)return`
float `+r+`(int row, int col, int depth, int depth2) {
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(`+a+", "+i+`, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+m+".0, "+f+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(m===i&&d==null)return`
float `+r+`(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(`+t[1]*t[2]+", "+t[2]+`, 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+m+".0, "+f+`.0);
return sampleTexture(`+e+`, uv);
}
`;var g=gi(e);return`
float `+r+`(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+s+" + col * "+a+` +
depth * `+i+` + depth2;
vec2 uv = uvFromFlat(`+f+", "+m+", index + "+g+`);
return sampleTexture(`+e+`, uv);
}
`}function SU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=t[4],a=t[3]*i,s=t[2]*a,o=t[1]*s,c=_.util.squeezeShape(t),l=c.newShape,u=c.keptDims;if(l.length<t.length){var h=aa(n,l),d=["row","col","depth","depth2","depth3"];return`
`+ra(h)+`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
return `+r+"("+sa(d,u)+`);
}
`}if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
float index = dot(
vec4(row, col, depth, depth2),
vec4(`+o+", "+s+", "+a+", "+i+`)) +
depth3;
`+ia(n)+`
}
`;var p=n.shapeInfo.flatOffset,f=n.shapeInfo.texShape,m=f[0],g=f[1];if(g===o&&p==null)return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(`+s+", "+a+", "+i+`, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+g+".0, "+m+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(g===i&&p==null)return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
float texR = dot(
vec4(row, col, depth, depth2),
vec4(`+t[1]*t[2]*t[3]+`,
`+t[2]*t[3]+", "+t[3]+`, 1));
int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+g+".0, "+m+`.0);
return sampleTexture(`+e+`, uv);
}
`;var y=gi(e);return`
float `+r+`(int row, int col, int depth, int depth2, int depth3) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+o+" + col * "+s+" + depth * "+a+` +
depth2 * `+i+" + depth3 + "+y+`;
vec2 uv = uvFromFlat(`+m+", "+g+`, index);
return sampleTexture(`+e+`, uv);
}
`}function IU(n){var t=n.shapeInfo.logicalShape,e=n.name,r="get"+e.charAt(0).toUpperCase()+e.slice(1),i=_.util.squeezeShape(t),a=i.newShape,s=i.keptDims;if(a.length<t.length){var o=aa(n,a),c=["row","col","depth","depth2","depth3","depth4"];return`
`+ra(o)+`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
return `+r+"("+sa(c,s)+`);
}
`}var l=t[5],u=t[4]*l,h=t[3]*u,d=t[2]*h,p=t[1]*d;if(n.shapeInfo.isUniform)return`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
vec4(`+p+", "+d+", "+h+", "+u+`)) +
dot(
vec2(depth3, depth4),
vec2(`+l+`, 1)));
`+ia(n)+`
}
`;var f=n.shapeInfo.flatOffset,m=n.shapeInfo.texShape,g=m[0],y=m[1];if(y===p&&f==null)return`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(`+d+", "+h+", "+u+", "+l+`)) +
float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+y+".0, "+g+`.0);
return sampleTexture(`+e+`, uv);
}
`;if(y===l&&f==null)return`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
vec4(`+t[1]*t[2]*t[3]*t[4]+`,
`+t[2]*t[3]*t[4]+`,
`+t[3]*t[4]+`,
`+t[4]+`)) + float(depth3);
int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+y+".0, "+g+`.0);
return sampleTexture(`+e+`, uv);
}
`;var w=gi(e);return`
float `+r+`(int row, int col, int depth,
int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * `+p+" + col * "+d+" + depth * "+h+` +
depth2 * `+u+" + depth3 * "+l+" + depth4 + "+w+`;
vec2 uv = uvFromFlat(`+g+", "+y+`, index);
return sampleTexture(`+e+`, uv);
}
`}function ia(n){var t=n.name,e=_.util.sizeFromShape(n.shapeInfo.logicalShape);return e<2?"return "+t+";":`
for (int i = 0; i < `+e+`; i++) {
if (i == index) {
return `+t+`[i];
}
}
`}function RU(n,t){var e=n.name,r=e.charAt(0).toUpperCase()+e.slice(1),i="get"+r+"AtOutCoords",a=n.shapeInfo.logicalShape.length,s=t.logicalShape.length,o=Rb(n.shapeInfo.logicalShape,t.logicalShape),c=Ze(s),l=s-a,u,h=["x","y","z","w","u","v"];a===0?u="":s<2&&o.length>=1?u="coords = 0;":u=o.map(function(L){return"coords."+h[L+l]+" = 0;"}).join(`
`);var d="";s<2&&a>0?d="coords":d=n.shapeInfo.logicalShape.map(function(L,x){return"coords."+h[x+l]}).join(", ");var p="return outputValue;",f=_.util.sizeFromShape(n.shapeInfo.logicalShape),m=f===1,g=_.util.sizeFromShape(t.logicalShape),y=g===1;if(a===1&&!m&&!y)p=`
return vec4(outputValue.xy, outputValue.xy);
`;else if(m&&!y)s===1?p=`
return vec4(outputValue.x, outputValue.x, 0., 0.);
`:p=`
return vec4(outputValue.x);
`;else if(o.length){var w=a-2,b=a-1;o.indexOf(w)>-1&&o.indexOf(b)>-1?p="return vec4(outputValue.x);":o.indexOf(w)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(b)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return`
vec4 `+i+`() {
`+c+` coords = getOutputCoords();
`+u+`
vec4 outputValue = get`+r+"("+d+`);
`+p+`
}
`}function OU(n,t){var e=n.name,r=e.charAt(0).toUpperCase()+e.slice(1),i="get"+r+"AtOutCoords",a=t.texShape,s=n.shapeInfo.texShape,o=n.shapeInfo.logicalShape.length,c=t.logicalShape.length;if(!n.shapeInfo.isUniform&&o===c&&n.shapeInfo.flatOffset==null&&_.util.arraysEqual(s,a))return`
float `+i+`() {
return sampleTexture(`+e+`, resultUV);
}
`;var l=Ze(c),u=Rb(n.shapeInfo.logicalShape,t.logicalShape),h=c-o,d,p=["x","y","z","w","u","v"];o===0?d="":c<2&&u.length>=1?d="coords = 0;":d=u.map(function(m){return"coords."+p[m+h]+" = 0;"}).join(`
`);var f="";return c<2&&o>0?f="coords":f=n.shapeInfo.logicalShape.map(function(m,g){return"coords."+p[g+h]}).join(", "),`
float `+i+`() {
`+l+` coords = getOutputCoords();
`+d+`
return get`+r+"("+f+`);
}
`}function Ze(n){if(n<=1)return"int";if(n===2)return"ivec2";if(n===3)return"ivec3";if(n===4)return"ivec4";if(n===5)return"ivec5";if(n===6)return"ivec6";throw Error("GPU for rank "+n+" is not yet supported")}function aa(n,t){var e=JSON.parse(JSON.stringify(n));return e.shapeInfo.logicalShape=t,e}function sa(n,t){return t.map(function(e){return n[e]}).join(", ")}var qU=function(){function n(t,e,r,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,_.util.assert(t.length>2,function(){return"Packed arg"+(r.charAt(0).toUpperCase()+r.slice(1))+" supports only inputs with rank above 2."});var a=t[t.length-1],s=Math.ceil(a/e);this.outputShape=t.slice(0,-1),s>1&&this.outputShape.push(s),i||this.variableNames.push("bestIndicesA");var o=this.outputShape,c=o.length,l=Ze(c),u=Bt("coords",c),h,d;if(s===1){d=c+1;var p=Ze(d);h=`
`+p+" sourceLocR = "+p+"("+u.join()+`, 0);
++`+u[c-1]+`;
`+p+" sourceLocG = "+p+"("+u.join()+`, 0);
++`+u[c-2]+`;
`+p+" sourceLocA = "+p+"("+u.join()+`, 0);
--`+u[c-1]+`;
`+p+" sourceLocB = "+p+"("+u.join()+`, 0);
--`+u[c-2]+";"}else d=c,h=`
`+l+` sourceLocR = coords;
++`+u[c-1]+`;
`+l+` sourceLocG = coords;
++`+u[c-2]+`;
`+l+` sourceLocA = coords;
--`+u[c-1]+`;
`+l+` sourceLocB = coords;
--`+u[c-2]+";";var f=["x","y","z","w","u","v"].slice(0,d),m="."+f[d-1],g=f.map(function(O){return"int "+O}),y=Bt("sourceLocR",d-1).concat("inIdx.r"),w=Bt("sourceLocG",d-1).concat("inIdx.g"),b=Bt("sourceLocB",d-1).concat("inIdx.b"),L=Bt("sourceLocA",d-1).concat("inIdx.a"),x=r==="max"?"greaterThan":"lessThan",N=i?"":`
inIdx = round(vec4(getBestIndicesAChannel(`+y.join()+`),
getBestIndicesAChannel(`+w.join()+`),
getBestIndicesAChannel(`+b.join()+`),
getBestIndicesAChannel(`+L.join()+")));",I=`vec4(
getAChannel(`+y.join()+`),
hasNextCol ? getAChannel(`+w.join()+`) : 0.,
hasNextRow ? getAChannel(`+b.join()+`) : 0.,
hasNextRow && hasNextCol ? getAChannel(`+L.join()+") : 0.)",C=i?"":`
float getBestIndicesAChannel(`+g.join()+`) {
return getChannel(getBestIndicesA(`+f.join()+`),
vec2(`+f.slice(-2).join()+`));
}`;this.userCode=`
float getAChannel(`+g.join()+`) {
return getChannel(getA(`+f.join()+`),
vec2(`+f.slice(-2).join()+`));
}
`+C+`
void main() {
`+l+` coords = getOutputCoords();
bool hasNextCol = `+u[c-1]+" < "+(o[c-1]-1)+`;
bool hasNextRow = `+u[c-2]+" < "+(o[c-2]-1)+`;
`+h+`
ivec4 srcIdx = ivec4(sourceLocR`+m+", sourceLocG"+m+`,
sourceLocB`+m+", sourceLocA"+m+") * "+e+`;
ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
vec4 bestValue = `+I+`;
for (int i = 0; i < `+e+`; i++) {
inIdx = srcIdx;
`+N+`
vec4 candidate = `+I+`;
bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
vec4(`+x+`(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
bestValue = vec4(replace.x ? candidate.x : bestValue.x,
replace.y ? candidate.y : bestValue.y,
replace.z ? candidate.z : bestValue.z,
replace.w ? candidate.w : bestValue.w);
bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
srcIdx++;
}
setOutput(bestIndex);
}
`}return n}();var YU=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,o=t.dilationWidth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,u=c-1-t.padInfo.top,h=l-1-t.padInfo.left,d=1/(e*r);this.userCode=`
const ivec2 pads = ivec2(`+u+", "+h+`);
const float avgMultiplier = float(`+d+`);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < `+c+`;
wR += `+s+`) {
float dyR = float(dyRCorner + wR) / `+i+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < `+l+`;
wC+= `+o+`) {
float dyC = float(dyCCorner + wC) / `+a+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(b, idyR, idyC, d);
dotProd += dyValue * avgMultiplier;
}
}
setOutput(dotProd);
}
`}return n}(),KU=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,r=t.filterHeight,i=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=t.dilationWidth,h=t.effectiveFilterDepth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,f=h-1-t.padInfo.front,m=d-1-t.padInfo.top,g=p-1-t.padInfo.left,y=1/(e*r*i);this.userCode=`
const ivec3 pads = ivec3(`+f+", "+m+", "+g+`);
const float avgMultiplier = float(`+y+`);
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wD = 0; wD < `+h+`;
wD += `+c+`) {
float dyD = float(dyDCorner + wD) / `+a+`.0;
if (dyD < 0.0 || dyD >= `+t.outDepth+`.0 || fract(dyD) > 0.0) {
continue;
}
int idyD = int(dyD);
for (int wR = 0; wR < `+d+`;
wR += `+l+`) {
float dyR = float(dyRCorner + wR) / `+s+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < `+p+`;
wC += `+u+`) {
float dyC = float(dyCCorner + wC) / `+o+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
dotProd += dyValue * avgMultiplier;
}
}
}
setOutput(dotProd);
}
`}return n}();var Db=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,jU=`
float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
}
`,$U=`
if(a < 0.0 && floor(b) < b){
return NAN;
}
if (b == 0.0) {
return 1.0;
}
return (round(mod(b, 2.0)) != 1) ?
pow(abs(a), b) : sign(a) * pow(abs(a), b);
`,XU="return float(a == b);",JU="return float(a < b);",ZU="return float(a <= b);",QU="return float(a > b);",eB="return float(a >= b);",tB="return float(a >= 1.0 && b >= 1.0);",nB="return float(a >= 1.0 || b >= 1.0);",rB=Db+`
return max(a, b);
`,iB=Db+`
return min(a, b);
`,aB=`if (b == 0.0) return NAN;
return mod(a, b);`,sB="return (b >= 1.0) ? a : a * (b + 1.0);",kb="return (a < 0.) ? b * a : a;",Wt=function(){function n(t,e,r){this.variableNames=["A","B"],this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r),this.userCode=`
float binaryOperation(float a, float b) {
`+t+`
}
void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
}
`}return n}();var Qo=`
result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
`,oB=`
ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if (cond[0]) {
result[0] = idiv(ia[0], ib[0], s[0]);
}
if (cond[1]) {
result[1] = idiv(ia[1], ib[1], s[1]);
}
if (cond[2]) {
result[2] = idiv(ia[2], ib[2], s[2]);
}
if (cond[3]) {
result[3] = idiv(ia[3], ib[3], s[3]);
}
return vec4(result);
`,cB=`
// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
vec4 result = multiplier * pow(abs(a), b);
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal(b, vec4(0.0));
result.r = isExpZero.r ? 1.0 : result.r;
result.g = isExpZero.g ? 1.0 : result.g;
result.b = isExpZero.b ? 1.0 : result.b;
result.a = isExpZero.a ? 1.0 : result.a;
vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
`+Qo+`
return result;
`,Fb=`
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`,lB=`
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,uB=`
return vec4(equal(a, b));
`,hB=`
return vec4(lessThan(a, b));
`,dB=`
return vec4(lessThanEqual(a, b));
`,pB=`
return vec4(greaterThan(a, b));
`,fB=`
return vec4(greaterThanEqual(a, b));
`,mB=`
return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
`,gB=`
return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
`,yB=`
vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Qo+`
return result;
`,vB=`
vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+Qo+`
return result;
`,wB=`
vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
`+Qo+`
return result;
`,nr=function(){function n(t,e,r,i){i===void 0&&(i=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r);var a=this.outputShape.length,s="";if(i)if(a===0||_.util.sizeFromShape(this.outputShape)===1)s=`
result.y = 0.;
result.z = 0.;
result.w = 0.;
`;else{var o=Ze(a);if(s=`
`+o+` coords = getOutputCoords();
`,a===1)s+=`
result.y = (coords + 1) >= `+this.outputShape[0]+` ? 0. : result.y;
result.z = 0.;
result.w = 0.;
`;else{var c=Bt("coords",a);s+=`
bool nextRowOutOfBounds =
(`+c[a-2]+" + 1) >= "+this.outputShape[a-2]+`;
bool nextColOutOfBounds =
(`+c[a-1]+" + 1) >= "+this.outputShape[a-1]+`;
result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
`}}this.userCode=`
vec4 binaryOperation(vec4 a, vec4 b) {
`+t+`
}
void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
vec4 result = binaryOperation(a, b);
`+s+`
setOutput(result);
}
`}return n}();var bB=function(){function n(t){this.variableNames=["A"],this.outputShape=t,this.userCode=`
uniform float minVal;
uniform float maxVal;
void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
}
setOutput(clamp(value, minVal, maxVal));
}
`}return n.prototype.getCustomSetupFunc=function(t,e){var r=this;return function(i,a){r.minLoc==null&&(r.minLoc=i.getUniformLocationNoThrow(a,"minVal"),r.maxLoc=i.getUniformLocationNoThrow(a,"maxVal")),i.gl.uniform1f(r.minLoc,t),i.gl.uniform1f(r.maxLoc,e)}},n}();var xB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`
uniform float minVal;
uniform float maxVal;
void main() {
vec4 value = getAAtOutCoords();
if (any(isnan(value))) {
setOutput(value);
return;
}
setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
}
`}return n.prototype.getCustomSetupFunc=function(t,e){var r=this;return function(i,a){r.minLoc==null&&(r.minLoc=i.getUniformLocationNoThrow(a,"minVal"),r.maxLoc=i.getUniformLocationNoThrow(a,"maxVal")),i.gl.uniform1f(r.minLoc,t),i.gl.uniform1f(r.maxLoc,e)}},n}();var LB=function(){function n(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=`
void main() {
float re = abs(getRealAtOutCoords());
float im = abs(getImagAtOutCoords());
float mx = max(re, im);
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput(
mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
);
}
`}return n}();var SB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,r=t.strideWidth,i=t.padInfo.top,a=t.padInfo.left,s=t.dataFormat==="channelsLast";this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int b = 0; b < `+t.batchSize+`; b++) {
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
int xR = wR + yR * `+e+" - "+i+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+r+" - "+a+`;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
if (`+s+`) {
float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
} else {
float dyValue = getDy(b, d2, yR, yC);
float xValue = getX(b, d1, xR, xC);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
}
`}return n}(),IB=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=t.dataFormat==="channelsLast",o=e-1-t.padInfo.top,c=r-1-t.padInfo.left,l=s?1:2,u=s?2:3,h=s?3:1;this.userCode=`
const ivec2 pads = ivec2(`+o+", "+c+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[`+h+`];
ivec2 dyCorner = ivec2(coords[`+l+"], coords["+u+`]) - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < `+e+`; wR++) {
float dyR = float(dyRCorner + wR) / `+i+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = `+e+` - 1 - wR;
for (int wC = 0; wC < `+r+`; wC++) {
float dyC = float(dyCCorner + wC) / `+a+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = `+r+` - 1 - wC;
for (int d2 = 0; d2 < `+t.outChannels+`; d2++) {
if (`+s+`) {
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
} else {
float xValue = getDy(batch, d2, idyR, idyC);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
}
}
}
setOutput(dotProd);
}
`}return n}(),AB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,r=t.strideHeight,i=t.strideWidth,a=t.padInfo.front,s=t.padInfo.top,o=t.padInfo.left;this.userCode=`
void main() {
ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
float dotProd = 0.0;
for (int b = 0; b < `+t.batchSize+`; b++) {
for (int yF = 0; yF < `+t.outDepth+`; yF++) {
int xF = wF + yF * `+e+" - "+a+`;
if (xF < 0 || xF >= `+t.inDepth+`) {
continue;
}
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
int xR = wR + yR * `+r+" - "+s+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+i+" - "+o+`;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
}
`}return n}(),TB=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,r=t.filterHeight,i=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=e-1-t.padInfo.front,l=r-1-t.padInfo.top,u=i-1-t.padInfo.left;this.userCode=`
const ivec3 pads = ivec3(`+c+", "+l+", "+u+`);
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyFCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
float dotProd = 0.0;
for (int wF = 0; wF < `+e+`; wF++) {
float dyF = float(dyFCorner + wF) / `+a+`.0;
if (dyF < 0.0 || dyF >= `+t.outDepth+`.0 || fract(dyF) > 0.0) {
continue;
}
int idyF = int(dyF);
int wFPerm = `+e+` - 1 - wF;
for (int wR = 0; wR < `+r+`; wR++) {
float dyR = float(dyRCorner + wR) / `+s+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = `+r+` - 1 - wR;
for (int wC = 0; wC < `+i+`; wC++) {
float dyC = float(dyCCorner + wC) / `+o+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = `+i+` - 1 - wC;
for (int d2 = 0; d2 < `+t.outChannels+`; d2++) {
float xValue = getDy(batch, idyF, idyR, idyC, d2);
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
}
}
}
setOutput(dotProd);
}
`}return n}();var NB=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,r=t.strideWidth,i=t.padInfo.top,a=t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
int d2 = d1 * `+s+` + dm;
float dotProd = 0.0;
// TO DO: Vec4 over the batch size
for (int b = 0; b < `+t.batchSize+`; b++) {
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
int xR = wR + yR * `+e+" - "+i+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
int xC = wC + yC * `+r+" - "+a+`;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
setOutput(dotProd);
}
`}return n}(),_B=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,r=t.filterWidth,i=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.top,o=r-1-t.padInfo.left,c=t.outChannels/t.inChannels;this.userCode=`
const ivec2 pads = ivec2(`+s+", "+o+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[3];
ivec2 dyCorner = coords.yz - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
float dotProd = 0.0;
for (int wR = 0; wR < `+e+`; wR++) {
float dyR = float(dyRCorner + wR) / `+i+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = `+e+` - 1 - wR;
for (int wC = 0; wC < `+r+`; wC++) {
float dyC = float(dyCCorner + wC) / `+a+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = `+r+` - 1 - wC;
// TO DO: Vec4 over the channelMul
for (int dm = 0; dm < `+c+`; dm++) {
int d2 = d1 * `+c+` + dm;
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
}
`}return n}();var Wb=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,s=t.padInfo.left,o=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,u=t.dilationWidth,h=t.filterHeight,d=t.filterWidth,p=Math.floor(t.inChannels/4)*4,f=t.inChannels%4,m=t.dataFormat==="channelsLast",g=m?1:2,y=m?2:3,w=m?3:1,b="",L="";r&&(i?b=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:b=`
float activation(float x) {
`+r+`
}
`,L="result = activation(result);");var x=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+b+`
const ivec2 strides = ivec2(`+o+", "+c+`);
const ivec2 pads = ivec2(`+a+", "+s+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d2 = coords[`+w+`];
ivec2 xRCCorner =
ivec2(coords[`+g+"], coords["+y+`]) * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < `+h+`; wR++) {
int xR = xRCorner + wR * `+l+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+d+`; wC++) {
int xC = xCCorner + wC * `+u+`;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
for (int d1 = 0; d1 < `+p+`; d1 += 4) {
vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
if (`+m+`) {
vec4 xValues = vec4(
getX(batch, xR, xC, d1),
getX(batch, xR, xC, d1 + 1),
getX(batch, xR, xC, d1 + 2),
getX(batch, xR, xC, d1 + 3)
);
dotProd += dot(xValues, wValues);
} else {
vec4 xValues = vec4(
getX(batch, d1, xR, xC),
getX(batch, d1 + 1, xR, xC),
getX(batch, d1 + 2, xR, xC),
getX(batch, d1 + 3, xR, xC)
);
dotProd += dot(xValues, wValues);
}
}
if (`+(f===1)+`) {
if (`+m+`) {
dotProd +=
getX(batch, xR, xC, `+p+`) *
getW(wR, wC, `+p+`, d2);
} else {
dotProd +=
getX(batch, `+p+`, xR, xC) *
getW(wR, wC, `+p+`, d2);
}
} else if (`+(f===2)+`) {
vec2 wValues = vec2(
getW(wR, wC, `+p+`, d2),
getW(wR, wC, `+p+` + 1, d2)
);
if (`+m+`) {
vec2 xValues = vec2(
getX(batch, xR, xC, `+p+`),
getX(batch, xR, xC, `+p+` + 1)
);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
getX(batch, `+p+`, xR, xC),
getX(batch, `+p+` + 1, xR, xC)
);
dotProd += dot(xValues, wValues);
}
} else if (`+(f===3)+`) {
vec3 wValues = vec3(
getW(wR, wC, `+p+`, d2),
getW(wR, wC, `+p+` + 1, d2),
getW(wR, wC, `+p+` + 2, d2)
);
if (`+m+`) {
vec3 xValues = vec3(
getX(batch, xR, xC, `+p+`),
getX(batch, xR, xC, `+p+` + 1),
getX(batch, xR, xC, `+p+` + 2)
);
dotProd += dot(xValues, wValues);
} else {
vec3 xValues = vec3(
getX(batch, `+p+`, xR, xC),
getX(batch, `+p+` + 1, xR, xC),
getX(batch, `+p+` + 2, xR, xC)
);
dotProd += dot(xValues, wValues);
}
}
}
}
float result = dotProd;
`+x+`
`+L+`
setOutput(result);
}
`}return n}(),CB=function(){function n(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,r=t.padInfo.top,i=t.padInfo.left,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=t.dilationWidth,h=t.filterDepth,d=t.filterHeight,p=t.filterWidth,f=Math.floor(t.inChannels/4)*4,m=t.inChannels%4;this.userCode=`
const ivec3 strides = ivec3(`+a+", "+s+", "+o+`);
const ivec3 pads = ivec3(`+e+", "+r+", "+i+`);
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d2 = coords.u;
ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xFCorner = xFRCCorner.x;
int xRCorner = xFRCCorner.y;
int xCCorner = xFRCCorner.z;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0;
for (int wF = 0; wF < `+h+`; wF++) {
int xF = xFCorner + wF * `+c+`;
if (xF < 0 || xF >= `+t.inDepth+`) {
continue;
}
for (int wR = 0; wR < `+d+`; wR++) {
int xR = xRCorner + wR * `+l+`;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+p+`; wC++) {
int xC = xCCorner + wC * `+u+`;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
for (int d1 = 0; d1 < `+f+`; d1 += 4) {
vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
dotProd += dot(xValues, wValues);
}
if (`+(m===1)+`) {
dotProd +=
getX(batch, xF, xR, xC, `+f+`) *
getW(wF, wR, wC, `+f+`, d2);
} else if (`+(m===2)+`) {
vec2 xValues = vec2(
getX(batch, xF, xR, xC, `+f+`),
getX(batch, xF, xR, xC, `+f+` + 1)
);
vec2 wValues = vec2(
getW(wF, wR, wC, `+f+`, d2),
getW(wF, wR, wC, `+f+` + 1, d2)
);
dotProd += dot(xValues, wValues);
} else if (`+(m===3)+`) {
vec3 xValues = vec3(
getX(batch, xF, xR, xC, `+f+`),
getX(batch, xF, xR, xC, `+f+` + 1),
getX(batch, xF, xR, xC, `+f+` + 2)
);
vec3 wValues = vec3(
getW(wF, wR, wC, `+f+`, d2),
getW(wF, wR, wC, `+f+` + 1, d2),
getW(wF, wR, wC, `+f+` + 2, d2)
);
dotProd += dot(xValues, wValues);
}
}
}
}
setOutput(dotProd);
}
`}return n}();var Ub=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,c=t.padInfo.left,l=t.strideHeight,u=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=t.outChannels/t.inChannels,g="",y="";r&&(i?g=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:g=`
float activation(float x) {
`+r+`
}
`,y="result = activation(result);");var w=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+g+`
const ivec2 strides = ivec2(`+l+", "+u+`);
const ivec2 pads = ivec2(`+o+", "+c+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2 / `+m+`;
int q = d2 - d1 * `+m+`;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for (int wR = 0; wR < `+p+`; wR++) {
int xR = xRCorner + wR * `+h+`;
if (xR < 0 || xR >= `+a+`) {
continue;
}
for (int wC = 0; wC < `+f+`; wC++) {
int xC = xCCorner + wC * `+d+`;
if (xC < 0 || xC >= `+s+`) {
continue;
}
float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
}
}
float result = dotProd;
`+w+`
`+y+`
setOutput(result);
}
`}return n}();var Bb=function(){function n(t,e,r,i){e===void 0&&(e=!1),r===void 0&&(r=null),i===void 0&&(i=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,c=t.padInfo.left,l=t.strideHeight,u=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=f,g="int xR; int xC; int xCOffset;",y=0;y<p;y++)for(var w=0;w<f;w++)g+=`
vec4 xTexelR`+y+"C"+w*2+` = vec4(0.);
vec4 wR`+y+"C"+w+` = vec4(0.);
vec4 xR`+y+"C"+w+" = vec4(0.);";for(var y=0;y<p;y++)for(var b=0;b<m;b++){var w=b*2;if(g+=`
xR = xRCorner + `+y*h+`;
xC = xCCorner + `+w*d+`;
`,u===1){if(w<f&&(c%2===1?g+=`
xCOffset = xC + 1;
if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if(xCOffset + 1 >= `+s+`) {
xTexelR`+y+"C"+w+`.zw = vec2(0.);
}
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
xCOffset = xC + 1 - 2;
if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
vec4 previous = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if(xCOffset + 1 >= `+s+`) {
previous.zw = vec2(0.);
}
xR`+y+"C"+w+" = vec4(previous.zw, xTexelR"+y+"C"+w+`.xy);
} else {
xR`+y+"C"+w+" = vec4(0, 0, xTexelR"+y+"C"+w+`.xy);
}
`:g+=`
if(xR >= 0 && xR < `+a+" && xC >= 0 && xC < "+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xC, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
xR`+y+"C"+w+" = xTexelR"+y+"C"+w+`;
`,w+1<f)){var L=c%2===0?_.util.nearestLargerEven(d):d;d%2===0&&c%2===1||d%2!==0&&c%2!==1?(g+=`
xCOffset = xC + `+c%2+" + "+L+`;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
}
`,d>1&&(g+=`
xCOffset -= 2;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
`),g+=`
xR`+y+"C"+(w+1)+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.xy);
`):g+=`
xCOffset = xC + `+L+`;
if(xR >= 0 && xR < `+a+` &&
xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
}
xR`+y+"C"+(w+1)+" = xTexelR"+y+"C"+(w+2)+`;
`}}else w<f&&(g+=`
if(xR >= 0 && xR < `+a+`) {
`,c%2===1?(g+=`
xCOffset = xC + 1 - `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
if(xC + 1 >= 0 && xC + 1 < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xC + 1, d1);
} else {
xTexelR`+y+"C"+(w+2)+` = vec4(0.);
}
xR`+y+"C"+w+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.zw);
`,w+1<f&&(g+=`
vec4 final = vec4(0.);
xCOffset = xC + 1 + `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
final = getX(batch, xR, xCOffset, d1);
}
xR`+y+"C"+(w+1)+" = vec4(xTexelR"+y+"C"+(w+2)+`.xy, final.xy);
`)):(g+=`
if(xC >= 0 && xC < `+s+`) {
xTexelR`+y+"C"+w+` = getX(batch, xR, xC, d1);
} else {
xTexelR`+y+"C"+w+` = vec4(0.);
}
xCOffset = xC + `+u+`;
if(xCOffset >= 0 && xCOffset < `+s+`) {
xTexelR`+y+"C"+(w+2)+` = getX(batch, xR, xCOffset, d1);
} else {
xTexelR`+y+"C"+(w+2)+` = vec4(0.);
}
xR`+y+"C"+w+` = vec4(
xTexelR`+y+"C"+w+".xy, xTexelR"+y+"C"+(w+2)+`.xy);
`,w+1<f&&(g+=`
xR`+y+"C"+(w+1)+` = vec4(
xTexelR`+y+"C"+w+".zw, xTexelR"+y+"C"+(w+2)+`.zw);
`)),g+="}");w<f&&(g+=`
vec4 wTexelR`+y+"C"+w+" = getW("+y+", "+w+`, d1, q);
wR`+y+"C"+w+" = vec4(wTexelR"+y+"C"+w+".xz, wTexelR"+y+"C"+w+`.xz);
`,w+1<f&&(g+=`
vec4 wTexelR`+y+"C"+(w+1)+" = getW("+y+", "+(w+1)+`, d1, q);
wR`+y+"C"+(w+1)+` =
vec4(wTexelR`+y+"C"+(w+1)+".xz, wTexelR"+y+"C"+(w+1)+".xz);"))}for(var y=0;y<p;y++)for(var w=0;w<f;w++)g+="dotProd += xR"+y+"C"+w+" * wR"+y+"C"+w+";";var x="",N="";r&&(i?x=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
`+r+`
}`:x=`vec4 activation(vec4 x) {
`+r+`
}`,N="result = activation(result);");var I=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode=`
`+x+`
const ivec2 strides = ivec2(`+l+", "+u+`);
const ivec2 pads = ivec2(`+o+", "+c+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2;
int q = 0;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
vec4 dotProd = vec4(0.);
`+g+`
vec4 result = dotProd;
`+I+`
`+N+`
setOutput(result);
}
`}return n}();var RB=function(){function n(t,e,r,i,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var s=t[0],o=t[1],c=t[2],l=t[3],u=e[0],h=r[0],d=r[1];this.outputShape=[u,h,d,l];var p=i==="bilinear"?1:0,f=[o-1+".0",c-1+".0"],m=f[0],g=f[1],y=h>1?[""+(o-1)/(h-1),"(y2-y1) * height_ratio","y1*"+m+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+m],w=y[0],b=y[1],L=y[2],x=d>1?[""+(c-1)/(d-1),"(x2-x1) * width_ratio","x1*"+g+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+g],N=x[0],I=x[1],C=x[2];this.userCode=`
const float height_ratio = float(`+w+`);
const float width_ratio = float(`+N+`);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
// get image in batch index
int bInd = round(getBoxInd(b));
if(bInd < 0 || bInd >= `+s+`) {
return;
}
float height_scale = `+b+`;
float width_scale = `+I+`;
float in_y = `+L+`;
if( in_y < 0.0 || in_y > `+m+` ) {
setOutput(float(`+a+`));
return;
}
float in_x = `+C+`;
if( in_x < 0.0 || in_x > `+g+` ) {
setOutput(float(`+a+`));
return;
}
vec2 sourceFracIndexCR = vec2(in_x,in_y);
if(`+p+` == 1) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
}
}
`}return n}(),Mb=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=t;var i=t.length,a=e?"0.0":"getX("+zb(i,"coords")+")",s=t[t.length-1],o="",c="";e?(o=r?"end != "+(s-1):"end != 0",c=r?"end + 1":"end - 1"):(o=r?"end + pow2 < "+s:"end >= pow2",c=r?"end + pow2":"end - pow2"),this.userCode=`
uniform float index;
void main() {
`+Ze(i)+` coords = getOutputCoords();
int end = `+Pb(i,"coords")+`;
float val = `+a+`;
int pow2 = int(pow(2.0, index));
if (`+o+`) {
int idx = `+c+`;
`+Pb(i,"coords")+` = idx;
val += getX(`+zb(i,"coords")+`);
}
setOutput(val);
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(r,i){e.index==null&&(e.index=r.getUniformLocation(i,"index")),r.gl.uniform1f(e.index,t)}},n}();function zb(n,t){if(n===1)return""+t;if(n===2)return t+".x, "+t+".y";if(n===3)return t+".x, "+t+".y, "+t+".z";if(n===4)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}function Pb(n,t){if(n===1)return""+t;if(n===2)return t+".y";if(n===3)return t+".z";if(n===4)return t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}var OB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=is.DENSE;var e=ss(t),r=zt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+mi(["r","c","d"],t)+`
return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
int index = 4 * (resTexRC.x * `+e[1]+` + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
}
`+r.output+` = result;
}
`}return n}();var EB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=is.DENSE;var e=ss(t),r=zt();this.outputShape=t,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
`+mi(["r","c","d"],t)+`
return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(`+e[0]+", "+e[1]+`));
int index = 4 * (resTexRC.x * `+e[1]+` + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
}
`+r.output+` = result;
}
`}return n}();var DB=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=r,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = `+this.getHeightCoordString()+`;
int w = `+this.getWidthCoordString()+`;
int d = `+this.getDepthCoordString()+`;
int in_h = h / `+e+`;
int offset_h = imod(h, `+e+`);
int in_w = w / `+e+`;
int offset_w = imod(w, `+e+`);
int offset_d = (offset_h * `+e+` + offset_w) *
`+this.getOutputDepthSize()+`;
int in_d = d + offset_d;
float result = `+this.getInputSamplingString()+`;
setOutput(result);
}
`}return n.prototype.getHeightCoordString=function(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"},n.prototype.getWidthCoordString=function(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"},n.prototype.getDepthCoordString=function(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"},n.prototype.getOutputDepthSize=function(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]},n.prototype.getInputSamplingString=function(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},n}();var kB=function(){function n(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
}
`}return n}();var FB=function(){function n(t){this.variableNames=["A"],this.outTexUsage=cn.DOWNLOAD;var e=zt();this.outputShape=t,this.userCode=`
`+Cb+`
void main() {
float x = getAAtOutCoords();
`+e.output+` = encode_float(x);
}
`}return n}();var WB=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=cn.DOWNLOAD;var e=zt();this.outputShape=t,this.userCode=`
`+Cb+`
void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
`+e.output+` = encode_float(x);
}
`}return n}();var UB=function(){function n(t,e,r){r===void 0&&(r=!1),this.variableNames=["A"];var i=zt(),a=e[0],s=e[1];this.outputShape=t;var o="result";r&&(o="floor(result * 255. + 0.5)"),this.userCode=`
`+tp(t)+`
void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / `+s+`;
int c = imod(flatIndex, `+s+`);
vec2 uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
vec4 values = `+i.texture2D+`(A, uv);
float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
} else {
result = values[3];
}
`+i.output+" = vec4("+o+`, 0., 0., 0.);
}
`}return n}();var BB=function(){function n(t,e,r){r===void 0&&(r=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var i=zt(),a=e[0],s=e[1];this.outputShape=t;var o="",c="result";r&&(c="floor(result * 255. + 0.5)");for(var l=0;l<=1;l++)for(var u=0;u<=1;u++){var h=l*2+u;o+=`
localCoords = coords;
if(localCoords[2] + `+u+" < "+t[2]+`) {
localCoords[2] += `+u+`;
if(localCoords[1] + `+l+" < "+t[1]+`) {
localCoords[1] += `+l+`;
flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
r = flatIndex / `+s+`;
c = imod(flatIndex, `+s+`);
uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
values = `+i.texture2D+`(A, uv);
if(offset == 0) {
result[`+h+`] = values[0];
} else if(offset == 1) {
result[`+h+`] = values[1];
} else if(offset == 2) {
result[`+h+`] = values[2];
} else {
result[`+h+`] = values[3];
}
}
}
`}this.userCode=`
`+tp(t)+`
void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
`+o+`
`+i.output+" = "+c+`;
}
`}return n}();var zB=function(){function n(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode=`
uniform float value;
void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(r,i){e.valueLoc==null&&(e.valueLoc=r.getUniformLocationNoThrow(i,"value")),r.gl.uniform1f(e.valueLoc,t)}},n}();var MB=function(){function n(t,e,r){this.variableNames=["A","indices"];var i=t.slice();i[r]=e,this.outputShape=i,this.rank=i.length;var a=Ze(this.rank),s=PB(t,r);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function PB(n,t){var e=n.length;if(e>4)throw Error("Gather for rank "+e+" is not yet supported");if(e===1)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],a=0;a<n.length;a++)a===t?i.push("int(getIndices("+r[a]+"))"):i.push(""+r[a]);return i.join()}var HB=function(){function n(t,e,r){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=r;var i=Ze(e.length),a=Ze(r.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
`+i+" strides = "+i+"("+this.strides+`);
void main() {
`+a+` coords = getOutputCoords();
int flattenIndex = 0;
for (int j = 0; j < `+this.sliceDim+`; j++) {
int index = round(getIndices(coords[0], j));
flattenIndex += index * `+s+`;
}
setOutput(getX(flattenIndex, coords[1]));
}
`}return n}();function Hb(n){var t=zt(),e=t.version+`
precision highp float;
`+t.attribute+` vec3 clipSpacePos;
`+t.attribute+` vec2 uv;
`+t.varyingVs+` vec2 resultUV;
void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
}`;return sb(n,e)}function Vb(n){var t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return ub(n,t)}function Gb(n){var t=new Uint16Array([0,1,2,2,1,3]);return hb(n,t)}function us(n,t,e,r,i,a){pb(t,e);var s=db(n),o=n.TEXTURE_2D;return de(n,function(){return n.bindTexture(o,s)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_MIN_FILTER,n.NEAREST)}),de(n,function(){return n.texParameteri(o,n.TEXTURE_MAG_FILTER,n.NEAREST)}),de(n,function(){return n.texImage2D(o,0,r,t,e,0,i,a,null)}),de(n,function(){return n.bindTexture(n.TEXTURE_2D,null)}),s}function np(n){return n.internalFormatFloat}function qb(n,t,e,r){var i=as(t,e),a=i[0],s=i[1];return us(n,a,s,np(r),r.textureFormatFloat,n.FLOAT)}function rp(n){return n.internalFormatHalfFloat}function Yb(n,t,e,r){var i=as(t,e),a=i[0],s=i[1];return us(n,a,s,rp(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function ip(n){return n.downloadTextureFormat}function Kb(n,t,e,r){var i=as(t,e),a=i[0],s=i[1];return us(n,a,s,ip(r),n.RGBA,n.UNSIGNED_BYTE)}function ap(n){return n.internalFormatPackedFloat}function jb(n,t,e,r){var i=ea(t,e),a=i[0],s=i[1];return us(n,a,s,ap(r),n.RGBA,n.FLOAT)}function sp(n){return n.internalFormatPackedHalfFloat}function $b(n,t,e,r){var i=ea(t,e),a=i[0],s=i[1];return us(n,a,s,sp(r),n.RGBA,r.textureTypeHalfFloat)}function Xb(n,t,e){var r=0,i=3*4,a=3*4+2*4;de(n,function(){return n.bindBuffer(n.ARRAY_BUFFER,e)});var s=$d(n,t,"clipSpacePos",e,3,a,r);return s&&$d(n,t,"uv",e,2,a,i)}function Jb(n,t,e,r,i,a){de(n,function(){return n.bindTexture(n.TEXTURE_2D,t)});var s,o,c;i instanceof Uint8Array?(s=new Uint8Array(e*r*4),o=n.UNSIGNED_BYTE,c=n.RGBA):(s=new Float32Array(e*r*4),o=n.FLOAT,c=a.internalFormatPackedFloat),s.set(i),de(n,function(){return n.texImage2D(n.TEXTURE_2D,0,c,e,r,0,n.RGBA,o,s)}),de(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function Zb(n,t,e){de(n,function(){return n.bindTexture(n.TEXTURE_2D,t)}),e.data instanceof Uint8Array?de(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,e.width,e.height,0,n.RGBA,n.UNSIGNED_BYTE,e.data)}):de(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,n.RGBA,n.UNSIGNED_BYTE,e)}),de(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function Qb(n,t,e,r){var i=n.createBuffer();de(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,i)});var a=4,s=4,o=a*s*t*e;return de(n,function(){return n.bufferData(n.PIXEL_PACK_BUFFER,o,n.STREAM_READ)}),de(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,0)}),de(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,null)}),i}function e2(n,t,e){var r=n,i=new Float32Array(e);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,i),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),i}function t2(n,t,e,r){var i=as(t,e),a=i[0],s=i[1],o=4,c=new Uint8Array(vW(t*e,o));return de(n,function(){return n.readPixels(0,0,a,s,r.downloadTextureFormat,n.UNSIGNED_BYTE,c)}),new Float32Array(c.buffer)}function n2(n,t,e,r,i,a,s,o){var c=n,l=new Float32Array(wW(a,s));return c.bindBuffer(c.PIXEL_PACK_BUFFER,t),c.getBufferSubData(c.PIXEL_PACK_BUFFER,0,l),c.bindBuffer(c.PIXEL_PACK_BUFFER,null),l}function r2(n,t,e){var r=new Float32Array(t*e*4);return de(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,r)}),r}var VB={__proto__:null,createVertexShader:Hb,createVertexBuffer:Vb,createIndexBuffer:Gb,getInternalFormatForFloat32MatrixTexture:np,createFloat32MatrixTexture:qb,getInternalFormatForFloat16MatrixTexture:rp,createFloat16MatrixTexture:Yb,getInternalFormatForUnsignedBytesMatrixTexture:ip,createUnsignedBytesMatrixTexture:Kb,getInternalFormatForPackedMatrixTexture:ap,createPackedMatrixTexture:jb,getInternalFormatForFloat16PackedMatrixTexture:sp,createFloat16PackedMatrixTexture:$b,bindVertexProgramAttributeStreams:Xb,uploadDenseMatrixToTexture:Jb,uploadPixelDataToTexture:Zb,createBufferFromOutputTexture:Qb,downloadFloat32MatrixFromBuffer:e2,downloadByteEncodedFloatMatrixFromOutputTexture:t2,downloadPackedMatrixFromBuffer:n2,downloadMatrixFromPackedOutputTexture:r2};var i2=function(){function n(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=_.env().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,rb(e,t)):this.gl=Pn(e);var r="WEBGL_color_buffer_float",i="EXT_color_buffer_half_float";if(_.env().getNumber("WEBGL_VERSION")===1){var a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=os(this.gl,a),ln(this.gl,s))this.textureHalfFloatExtension=os(this.gl,s);else if(_.env().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(r),ln(this.gl,i))this.colorBufferHalfFloatExtension=os(this.gl,i);else if(_.env().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(r="EXT_color_buffer_float",ln(this.gl,r))this.colorBufferFloatExtension=this.gl.getExtension(r);else if(ln(this.gl,i))this.colorBufferHalfFloatExtension=this.gl.getExtension(i);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=Vb(this.gl),this.indexBuffer=Gb(this.gl),this.framebuffer=fb(this.gl),this.textureConfig=jd(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(n.prototype,"debug",{get:function(){return _.env().getBool("DEBUG")},enumerable:!0,configurable:!0}),n.prototype.dispose=function(){var t=this;if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;de(e,function(){return e.finish()}),de(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),de(e,function(){return e.deleteFramebuffer(t.framebuffer)}),de(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),de(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),de(e,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0},n.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),qb(this.gl,t,e,this.textureConfig)},n.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Yb(this.gl,t,e,this.textureConfig)},n.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Kb(this.gl,t,e,this.textureConfig)},n.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Zb(this.gl,t,e)},n.prototype.uploadDenseMatrixToTexture=function(t,e,r,i){this.throwIfDisposed(),Jb(this.gl,t,e,r,i,this.textureConfig)},n.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),$b(this.gl,t,e,this.textureConfig)},n.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),jb(this.gl,t,e,this.textureConfig)},n.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Xd(this.gl,this.framebuffer),this.outputTexture=null),de(this.gl,function(){return e.gl.deleteTexture(t)})},n.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,r){var i=this;return this.downloadMatrixDriver(t,function(){return t2(i.gl,e,r,i.textureConfig)})},n.prototype.downloadPackedMatrixFromBuffer=function(t,e,r,i,a,s){return n2(this.gl,t,e,r,i,a,s,this.textureConfig)},n.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return e2(this.gl,t,e)},n.prototype.createBufferFromTexture=function(t,e,r){this.bindTextureToFrameBuffer(t);var i=Qb(this.gl,e,r,this.textureConfig);return this.unbindTextureToFrameBuffer(),i},n.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},n.prototype.createFence=function(t){var e=this,r,i;if(_.env().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,s=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),i=function(){var o=a.clientWaitSync(s,0,0);return o===a.ALREADY_SIGNALED||o===a.CONDITION_SATISFIED},r=s}else _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(r=this.beginQuery(),this.endQuery(),i=function(){return e.isQueryAvailable(r,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):i=function(){return!0};return{query:r,isFencePassed:i}},n.prototype.downloadMatrixFromPackedTexture=function(t,e,r){var i=this;return this.downloadMatrixDriver(t,function(){return r2(i.gl,e,r)})},n.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,r=ob(e,t),i=Hb(e),a=cb(e);return de(e,function(){return e.attachShader(a,i)}),de(e,function(){return e.attachShader(a,r)}),lb(e,a),this.debug&&Ko(e,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=Xb(e,this.program,this.vertexBuffer)),a},n.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&de(this.gl,function(){return e.gl.deleteProgram(t)})},n.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Ko(this.gl,this.program),de(this.gl,function(){return e.gl.useProgram(t)})},n.prototype.getUniformLocation=function(t,e,r){return r===void 0&&(r=!0),this.throwIfDisposed(),r?yb(this.gl,t,e):vb(this.gl,t,e)},n.prototype.getAttributeLocation=function(t,e){var r=this;return this.throwIfDisposed(),de(this.gl,function(){return r.gl.getAttribLocation(t,e)})},n.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},n.prototype.setInputMatrixTexture=function(t,e,r){this.throwIfDisposed(),this.throwIfNoProgram(),wb(this.gl,t,e,r)},n.prototype.setOutputMatrixTexture=function(t,e,r){this.setOutputMatrixTextureDriver(t,r,e)},n.prototype.setOutputPackedMatrixTexture=function(t,e,r){this.throwIfDisposed();var i=ea(e,r),a=i[0],s=i[1];this.setOutputMatrixTextureDriver(t,a,s)},n.prototype.setOutputMatrixWriteRegion=function(t,e,r,i){this.setOutputMatrixWriteRegionDriver(r,t,i,e)},n.prototype.setOutputPackedMatrixWriteRegion=function(t,e,r,i){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},n.prototype.debugValidate=function(){this.program!=null&&Ko(this.gl,this.program),cs(this.gl)},n.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),de(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},n.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),de(this.gl,function(){return t.gl.finish()})},n.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=os(this.gl,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},n.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},n.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},n.prototype.beginQuery=function(){if(_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),r=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,r),r}var i=this.getQueryTimerExtensionWebGL1(),a=i.createQueryEXT();return i.beginQueryEXT(i.TIME_ELAPSED_EXT,a),a},n.prototype.endQuery=function(){if(_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2();t.endQuery(e.TIME_ELAPSED_EXT);return}var r=this.getQueryTimerExtensionWebGL1();r.endQueryEXT(r.TIME_ELAPSED_EXT)},n.prototype.waitForQueryAndGetTime=function(t){return qo(this,void 0,void 0,function(){var e=this;return Yo(this,function(r){switch(r.label){case 0:return[4,_.util.repeatedTry(function(){return e.disposed||e.isQueryAvailable(t,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return r.sent(),[2,this.getQueryTime(t,_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},n.prototype.getQueryTime=function(t,e){if(e===0)return null;if(e===2){var r=this.gl,i=r.getQueryParameter(t,r.QUERY_RESULT);return i/1e6}else{var a=this.getQueryTimerExtensionWebGL1(),i=a.getQueryObjectEXT(t,a.QUERY_RESULT_EXT);return i/1e6}},n.prototype.isQueryAvailable=function(t,e){if(e===0)return!0;if(e===2){var r=this.gl,i=this.getQueryTimerExtensionWebGL2(),a=r.getQueryParameter(t,r.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),a&&!this.disjoint}else{var i=this.getQueryTimerExtensionWebGL1(),a=i.getQueryObjectEXT(t,i.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),a&&!this.disjoint}},n.prototype.pollFence=function(t){var e=this;return new Promise(function(r){e.addItemToPoll(function(){return t.isFencePassed()},function(){return r()})})},n.prototype.pollItems=function(){for(var t=GB(this.itemsToPoll.map(function(i){return i.isDoneFn})),e=0;e<=t;++e){var r=this.itemsToPoll[e].resolveFn;r()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},n.prototype.addItemToPoll=function(t,e){var r=this;if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;_.util.repeatedTry(function(){return r.pollItems(),r.itemsToPoll.length===0})},n.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),jo(this.gl,t,this.framebuffer),this.debug&&cs(this.gl)},n.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(jo(this.gl,this.outputTexture,this.framebuffer),this.debug&&cs(this.gl)):Xd(this.gl,this.framebuffer)},n.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var r=e();return this.unbindTextureToFrameBuffer(),r},n.prototype.setOutputMatrixTextureDriver=function(t,e,r){this.throwIfDisposed();var i=this.gl;jo(i,t,this.framebuffer),this.debug&&cs(i),this.outputTexture=t,de(i,function(){return i.viewport(0,0,e,r)}),de(i,function(){return i.scissor(0,0,e,r)})},n.prototype.setOutputMatrixWriteRegionDriver=function(t,e,r,i){var a=this;this.throwIfDisposed(),de(this.gl,function(){return a.gl.scissor(t,e,r,i)})},n.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},n.prototype.throwIfNoProgram=function(){if(this.program==null)throw new Error("No GPU program is currently set.")},n}();function GB(n){for(var t=0;t<n.length;++t){var e=n[t]();if(!e)break}return t-1}function qB(n,t,e,r){var i=t.userCode,a=e.map(function(g,y){var w={logicalShape:g.shape,texShape:g.isUniform?null:g.texData.texShape,isUniform:g.isUniform,isPacked:g.isUniform?!1:g.texData.isPacked,flatOffset:null};return g.texData!=null&&g.texData.slice!=null&&g.texData.slice.flatOffset>0&&(w.flatOffset=g.texData.slice.flatOffset),{name:t.variableNames[y],shapeInfo:w}}),s=a.map(function(g){return g.shapeInfo}),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},c=yU(a,o,i,t.packedInputs),l=n.createProgram(c),u=null,h=n.getUniformLocation(l,"NAN",!1);_.env().getNumber("WEBGL_VERSION")===1&&(u=n.getUniformLocation(l,"INFINITY",!1));for(var d={},p=0;p<t.variableNames.length;p++){var f=t.variableNames[p],m=!1;d[f]=n.getUniformLocation(l,f,m),d["offset"+f]=n.getUniformLocation(l,"offset"+f,m)}return{program:t,source:c,webGLProgram:l,uniformLocations:d,inShapeInfos:s,outShapeInfo:o,infLoc:u,nanLoc:h}}function a2(n,t){if(n.length!==t.length)throw Error("Binary was compiled with "+n.length+" inputs, but "+("was executed with "+t.length+" inputs"));n.forEach(function(e,r){var i=e.logicalShape,a=t[r],s=a.shape;if(!_.util.arraysEqual(i,s))throw Error("Binary was compiled with different shapes than "+("the current args. Shapes "+i+" and "+s+" must match"));if(e.isUniform&&a.isUniform)return;var o=e.texShape,c=a.isUniform?null:a.texData.texShape;if(!_.util.arraysEqual(o,c))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+o+" and "+c+" must match"))})}function YB(n,t,e,r,i){a2(t.inShapeInfos,e),a2([t.outShapeInfo],[r]);var a=r.texData.texture,s=r.texData.texShape;r.texData.isPacked?n.setOutputPackedMatrixTexture(a,s[0],s[1]):n.setOutputMatrixTexture(a,s[0],s[1]),n.setProgram(t.webGLProgram),_.env().getNumber("WEBGL_VERSION")===1&&(t.infLoc!==null&&n.gl.uniform1f(t.infLoc,Infinity)),t.nanLoc!==null&&n.gl.uniform1f(t.nanLoc,NaN),e.forEach(function(o,c){var l=t.program.variableNames[c],u=t.uniformLocations[l],h=t.uniformLocations["offset"+l];if(u==null)return;if(o.isUniform){if(_.util.sizeFromShape(o.shape)<2)n.gl.uniform1f(u,o.uniformValues[0]);else{var d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),n.gl.uniform1fv(u,d)}return}o.texData.slice!=null&&h!=null&&n.gl.uniform1i(h,o.texData.slice.flatOffset),n.setInputMatrixTexture(o.texData.texture,u,c)}),i!=null&&i(n,t.webGLProgram),n.executeProgram()}function KB(n,t,e){var r="";t.concat(e).forEach(function(s){var o=s.texData!=null&&s.texData.slice!=null&&s.texData.slice.flatOffset>0,c=s.isUniform?"uniform":s.texData.texShape;r+=s.shape+"_"+c+"_"+o});var i=n.userCode,a=n.constructor.name;return a+="_"+r+"_"+i,a}var jB=function(){function n(t,e,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var i=r.filterWidth,a=r.inChannels,s=r.strideWidth,o=r.strideHeight,c=r.padInfo,l=r.outWidth,u=r.dilationWidth,h=r.dilationHeight,d=r.dataFormat,p=c.left,f=c.top,m=a*i,g=zt(),y=d==="channelsLast",w=y?0:1,b=y?1:2,L="",x=0;x<=1;x++)for(var N=0;N<=1;N++)L+=`
blockIndex = rc.y + `+N+`;
pos = rc.x + `+x+`;
if(blockIndex < `+t[1]+" && pos < "+t[0]+`) {
offsetY = int(blockIndex / (`+l+")) * "+o+" - "+f+`;
d0 = offsetY + `+h+" * (pos / "+m+`);
if(d0 < `+e[w]+` && d0 >= 0) {
offsetX = int(mod(float(blockIndex), `+l+".) * "+s+". - "+p+`.);
d1 = offsetX + `+u+" * (int(mod(float(pos), "+m+".) / "+a+`.));
if(d1 < `+e[b]+` && d1 >= 0) {
ch = int(mod(float(pos), `+a+`.));
if (`+y+`) {
innerDims = vec2(d1, ch);
result[`+(x*2+N)+`] = getChannel(
getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[`+(x*2+N)+`] = getChannel(
getA(ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
void main() {
ivec2 rc = getOutputCoords();
vec4 result = vec4(0);
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
`+L+`
`+g.output+` = result;
}
`}return n}();var $B=function(){function n(t,e,r,i,a){this.variableNames=["x"],this.outputShape=[];var s=e,o=t[3]-1;this.outputShape=t;var c,l="float("+r+") + float("+i+") * sum";a===.5?c="inversesqrt("+l+")":a===1?c="1.0/("+l+")":c="exp(log("+l+") * float(-"+a+"));",this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
int d = coords[3];
float x = getX(b, r, c, d);
float sum = 0.0;
for (int j = -`+s+"; j <= "+s+`; j++) {
int idx = d + j;
if (idx >= 0 && idx <= `+o+`) {
float z = getX(b, r, c, idx);
sum += z * z;
}
}
float val = x * `+c+`;
setOutput(val);
}
`}return n}();var XB=function(){function n(t,e,r,i,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=r,this.alpha=i,this.beta=a,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
float result = 0.0;
for (int d = 0; d < `+this.depth+`; ++d) {
int depthBegin = int(max(0.0, float(d - `+e+`)));
int depthEnd = int(min(float(`+this.depth+`),
float(d + `+e+` + 1)));
const int MIN_DEPTH_BEGIN = 0;
const int MAX_DEPTH_END = `+this.depth+`;
float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
norm = float(`+i+") * norm + float("+r+`);
for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
float dyi = -2.0 * float(`+i+`)
* float(`+a+`)
* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
/ norm;
if (k == d) {
dyi += pow(norm, -1.0 * `+a+`);
}
if (k == coords[3]) {
dyi *= getDy(b, r, c, d);
result += dyi;
}
}
else {
break;
}
}
}
setOutput(result);
}
`}return n}();var JB=function(){function n(t,e,r,i,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var s=e,o=t[3]-1;this.outputShape=t;var c,l="float("+r+") + float("+i+") * sum";a===.5?c="inversesqrt("+l+")":a===1?c="1.0/("+l+")":c="exp(log("+l+") * float(-"+a+"));",this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
bool hasNextCol = d < `+this.outputShape[3]+`;
bool hasNextRow = c < `+this.outputShape[2]+`;
vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
vec4 xAtOutputCoords = vec4(
getChannel(xFragAtOutputCoords, vec2(c, d)),
hasNextCol ?
getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
hasNextRow ?
getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
(hasNextRow && hasNextCol) ?
getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
);
int firstChannel = d - `+s+`;
vec2 cache = vec2(0.);
if(firstChannel >= 0){
vec4 firstChannelFrag = getX(b, r, c, firstChannel);
cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
if(hasNextRow){
cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
}
}
ivec2 depth = ivec2(d, d + 1);
for (int j = - `+s+"; j <= "+s+`; j++) {
ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
bvec2 belowUpperBound = lessThanEqual(idx, ivec2(`+o+`));
bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
if(depthInRange || depthPlusOneInRange){
vec4 z = vec4(0.);
vec4 xFragAtCurrentDepth;
z.xz = cache.xy;
if(depthPlusOneInRange && hasNextCol){
xFragAtCurrentDepth = idx.y != d ?
getX(b, r, c, idx.y) : xFragAtOutputCoords;
z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
if(hasNextRow){
z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
}
}
cache.xy = z.yw;
sum += z * z;
}
}
vec4 result = xAtOutputCoords * `+c+`;
setOutput(result);
}
`}return n}();var ZB=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,r=t.strideWidth,i=t.dilationHeight,a=t.effectiveFilterHeight,s=t.effectiveFilterWidth,o=a-1-t.padInfo.top,c=s-1-t.padInfo.left,l=a*s-1;this.userCode=`
const ivec2 pads = ivec2(`+o+", "+c+`);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < `+a+`;
wR += `+i+`) {
float dyR = float(dyRCorner + wR) / `+e+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < `+s+`; wC++) {
float dyC = float(dyCCorner + wC) / `+r+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(b, idyR, idyC, d);
int maxPosValue = `+l+` - int(getMaxPos(b, idyR, idyC, d));
// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * `+s+` + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
setOutput(dotProd);
}
`}return n}(),QB=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,r=t.strideHeight,i=t.strideWidth,a=t.dilationDepth,s=t.dilationHeight,o=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,u=t.effectiveFilterWidth,h=c-1-t.padInfo.front,d=l-1-t.padInfo.top,p=u-1-t.padInfo.left,f=c*l*u-1;this.userCode=`
const ivec3 pads = ivec3(`+h+", "+d+", "+p+`);
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wD = 0; wD < `+c+`;
wD += `+a+`) {
float dyD = float(dyDCorner + wD) / `+e+`.0;
if (dyD < 0.0 || dyD >= `+t.outDepth+`.0 || fract(dyD) > 0.0) {
continue;
}
int idyD = int(dyD);
for (int wR = 0; wR < `+l+`;
wR += `+s+`) {
float dyR = float(dyRCorner + wR) / `+r+`.0;
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < `+u+`;
wC += `+o+`) {
float dyC = float(dyCCorner + wC) / `+i+`.0;
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
int maxPosValue = `+f+` -
int(getMaxPos(batch, idyD, idyR, idyC, ch));
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * `+l+" * "+u+` +
wR * `+u+` + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
}
setOutput(dotProd);
}
`}return n}();var op=function(){function n(t,e,r,i,a,s,o,c){i===void 0&&(i=!1),a===void 0&&(a=!1),s===void 0&&(s=!1),o===void 0&&(o=null),c===void 0&&(c=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r;var l=i?t[1]:t[2],u=Math.ceil(l/2),h=i?"i * 2, rc.y":"rc.y, i * 2",d=a?"rc.z, i * 2":"i * 2, rc.z",p=i?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";o&&(c?m=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
`+o+`
}`:m=`vec4 activation(vec4 x) {
`+o+`
}`,g="result = activation(result);");var y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),c&&this.variableNames.push("preluActivationWeights");var w="rc.x",b="rc.x";t[0]<e[0]?w="int(min(float(rc.x), "+(t[0]-1)+".))":e[0]<t[0]&&(b="int(min(float(rc.x), "+(e[0]-1)+".))"),this.userCode=`
`+m+`
const float sharedDimension = `+u+`.0;
vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
for (int i = 0; i < `+u+`; i++) {
int batchA = `+w+`;
int batchB = `+b+`;
vec4 a = getMatrixA(batchA, `+h+`);
vec4 b = getMatrixB(batchB, `+d+`);
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += (`+p[0]+" * "+f[0]+`);
result += (`+p[1]+" * "+f[1]+`);
}
return result;
}
void main() {
ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
`+y+`
`+g+`
setOutput(result);
}
`}return n}();var ez=function(){function n(t,e,r){this.variableNames=["probs"],this.outputShape=[t,r],this.userCode=`
uniform float seed;
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
float r = random(seed);
float cdf = 0.0;
for (int i = 0; i < `+(e-1)+`; i++) {
cdf += getProbs(batch, i);
if (r < cdf) {
setOutput(float(i));
return;
}
}
// If no other event happened, last event happened.
setOutput(float(`+(e-1)+`));
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(r,i){e.seedLoc==null&&(e.seedLoc=r.getUniformLocation(i,"seed")),r.gl.uniform1f(e.seedLoc,t)}},n}();var tz=function(){function n(t,e,r,i){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
setOutput(mix(float(`+i+"), float("+r+`),
float(index == coords.y)));
}
`}return n}();var az=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(e===0)this.userCode=`
void main() {
setOutput(vec4(getA(), 0., 0., 0.));
}
`;else{var r=Bt("rc",e),i=Ze(e),a=nz(e,t,r),s=rz(e,t[t.length-1],t[t.length-2],r),o=iz(t,r);this.userCode=`
void main() {
`+i+` rc = getOutputCoords();
if(`+a+`) {
setOutput(vec4(0));
} else {
`+s+`
setOutput(vec4(`+o+`));
}
}
`}}return n}();function sz(n,t){for(var e=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var a=(r===0?"r":"rp1")+", "+(i===0?"c":"cp1"),s=2;s<n;s++)a=t[t.length-1-s]+","+a;e.push(a)}return e}function nz(n,t,e){if(n===1)return"rc > "+t[0];for(var r="",i=n-2;i<n;i++)r+=e[i]+" >= "+t[i],i<n-1&&(r+="||");return r}function rz(n,t,e,r){if(n===1)return"";var i=r.slice(-2);return`
int r = `+i[0]+`;
int c = `+i[1]+`;
int rp1 = r + 1;
int cp1 = c + 1;
bool cEdge = cp1 >= `+t+`;
bool rEdge = rp1 >= `+e+`;
`}function iz(n,t){var e=n.length,r=sz(e,t);return e===1?`getA(rc),
rc + 1 >= `+n[0]+` ? 0. : getA(rc + 1),
0, 0`:"getA("+r[0]+`),
cEdge ? 0. : getA(`+r[1]+`),
rEdge ? 0. : getA(`+r[2]+`),
rEdge || cEdge ? 0. : getA(`+r[3]+")"}var oz=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=e.map(function(l,u){return l[0]+t[u]+l[1]});var i=t.length,a=Ze(i),s=e.map(function(l){return l[0]}).join(","),o=e.map(function(l,u){return l[0]+t[u]}).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,i);if(i===1){this.userCode=`
int start = `+s+`;
int end = `+o+`;
void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(float(`+r+`));
} else {
setOutput(getX(outC - start));
}
}
`;return}this.userCode=`
`+a+" start = "+a+"("+s+`);
`+a+" end = "+a+"("+o+`);
void main() {
`+a+` outC = getOutputCoords();
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
setOutput(float(`+r+`));
} else {
`+a+` coords = outC - start;
setOutput(getX(`+c+`));
}
}
`}return n}();var cz=function(){function n(t,e,r){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(y,w){return y[0]+t[w]+y[1]});for(var i=t.length,a=Ze(i),s=e.map(function(y){return y[0]}).join(","),o=e.map(function(y,w){return y[0]+t[w]}).join(","),c=Bt("rc",i),l=Bt("source",i),u=c[i-1]+" < "+this.outputShape[i-1],h=i===1?"source":"vec2("+l.slice(-2).join()+")",d=[a+" rc = outputLoc;",c[i-1]+` += 1;
if(`+u+`) {
`,i===1?"":`}
rc = outputLoc;
`+c[i-2]+` += 1;
if(`+c[i-2]+" < "+this.outputShape[i-2]+") {",i===1?"":" "+c[i-1]+` += 1;
if(`+u+") {"],p=i===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",m=0,g=i===1?2:4;m<g;m++)f+=`
`+d[m]+`
if (`+p+`) {
result[`+m+"] = float("+r+`);
} else {
`+a+` source = rc - start;
result[`+m+"] = getChannel(getX("+l.join()+"), "+h+`);
}
`;f+=i===1?"} ":"}}",this.userCode=`
const `+a+" start = "+a+"("+s+`);
const `+a+" end = "+a+"("+o+`);
void main() {
`+a+` outputLoc = getOutputCoords();
vec4 result = vec4(0.);
`+f+`
setOutput(result);
}
`}return n}();var hs=function(){function n(t,e,r,i,a){if(i===void 0&&(i=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&r)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,u=t.dilationWidth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,p=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var m=e==="avg",g="((batch * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",y="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",w="0.0";if(m||(w="-1.0 / 1e-20"),r){var b=">=";this.userCode=`
const ivec2 strides = ivec2(`+o+", "+c+`);
const ivec2 pads = ivec2(`+p+", "+f+`);
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
float avgValue = 0.0;
for (int wR = 0; wR < `+h+`;
wR += `+l+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+d+`;
wC += `+u+`) {
int xC = xCCorner + wC;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
float value = getX(batch, xR, xC, d);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
if (value `+b+` currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = `+(i?a?g:y:"wR * "+d+" + wC")+`;
}
}
}
setOutput(float(minMaxPosition));
}
`;return}var L="max",x=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(x="avgValue / count");var N=Math.floor(s/4)*4,I=s%4,C=`
if (`+m+`) {
avgValue += dot(values, ones);
} else {
minMaxValue = `+L+`(values, minMaxValue);
}
`;this.userCode=`
const ivec2 strides = ivec2(`+o+", "+c+`);
const ivec2 pads = ivec2(`+p+", "+f+`);
const float initializationValue = `+w+`;
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xR, int xC, int d) {
if (xC < 0 || xC >= `+t.inWidth+`) {
return initializationValue;
}
count += 1.0;
return getX(batch, xR, xC, d);
}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4(`+w+`);
float avgValue = 0.0;
count = 0.0;
for (int wR = 0; wR < `+h+`;
wR += `+l+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+N+`; wC += 4) {
int xC = xCCorner + wC * `+u+`;
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
getValue(batch, xR, xC + 2 * `+u+`, d),
getValue(batch, xR, xC + 3 * `+u+`, d)
);
`+C+`
}
int xC = xCCorner + `+N+`;
if (`+(I===1)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
`+C+`
} else if (`+(I===2)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
initializationValue,
initializationValue
);
`+C+`
} else if (`+(I===3)+`) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + `+u+`, d),
getValue(batch, xR, xC + 2 * `+u+`, d),
initializationValue
);
`+C+`
}
}
setOutput(`+x+`);
}
`}return n}(),cp=function(){function n(t,e,r,i,a){if(i===void 0&&(i=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&r)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideDepth,c=t.strideHeight,l=t.strideWidth,u=t.dilationDepth,h=t.dilationHeight,d=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,w=t.padInfo.left;this.outputShape=t.outShape;var b=e==="avg",L="0.0";if(b||(L="-1.0 / 1e-20"),r){var x=">=";this.userCode=`
const ivec3 strides =
ivec3(`+o+", "+c+", "+l+`);
const ivec3 pads = ivec3(`+g+", "+y+", "+w+`);
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
for (int wD = 0; wD < `+p+`;
wD += `+u+`) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= `+t.inDepth+`) {
continue;
}
for (int wR = 0; wR < `+f+`;
wR += `+h+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+m+`;
wC += `+d+`) {
int xC = xCCorner + wC;
if (xC < 0 || xC >= `+t.inWidth+`) {
continue;
}
float value = getX(batch, xD, xR, xC, ch);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
if (value `+x+` currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = `+(i?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+m+` +
wR * `+m+" + wC")+`;
}
}
}
}
setOutput(float(minMaxPosition));
}
`;return}var N="max",I=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(I="avgValue / count");var C=Math.floor(s/4)*4,O=s%4,D=`
if (`+b+`) {
avgValue += dot(values, ones);
} else {
minMaxValue = `+N+`(values, minMaxValue);
}
`;this.userCode=`
const ivec3 strides =
ivec3(`+o+", "+c+", "+l+`);
const ivec3 pads = ivec3(`+g+", "+y+", "+w+`);
const float initializationValue = `+L+`;
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
if (xC < 0 || xC >= `+t.inWidth+`) {
return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4(`+L+`);
float avgValue = 0.0;
count = 0.0;
for (int wD = 0; wD < `+p+`;
wD += `+u+`) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= `+t.inDepth+`) {
continue;
}
for (int wR = 0; wR < `+f+`;
wR += `+h+`) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= `+t.inHeight+`) {
continue;
}
for (int wC = 0; wC < `+C+`; wC += 4) {
int xC = xCCorner + wC * `+d+`;
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + `+d+`, ch),
getValue(batch, xD, xR, xC + 2 * `+d+`, ch),
getValue(batch, xD, xR, xC + 3 * `+d+`, ch)
);
`+D+`
}
int xC = xCCorner + `+C+`;
if (`+(O===1)+`) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
`+D+`
} else if (`+(O===2)+`) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + `+d+`, ch),
initializationValue,
initializationValue
);
`+D+`
} else if (`+(O===3)+`) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + `+d+`, ch),
getValue(batch, xD, xR, xC + 2 * `+d+`, ch),
initializationValue
);
`+D+`
}
}
setOutput(`+I+`);
}
}
`}return n}();var s2=function(){function n(t,e){this.variableNames=["x"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[i,s];var o="0.0",c="";e==="prod"?o="1.0":e==="min"?(o="1.0 / 1e-20",c="min"):e==="max"&&(o="-1.0 / 1e-20",c="max");var l=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");var u=Math.floor(r/4)*4,h=r%4,d=`
if (`+(e==="sum")+`) {
sumValue += dot(values, ones);
} else if (`+(e==="prod")+`) {
vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
prodValue *= tmp[0] * tmp[1];
} else {
minMaxValue = `+c+`(values, minMaxValue);
}
`,p="vec4";e==="all"?(o="1.0",d=`
bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
`,p="bvec4"):e==="any"&&(o="0.0",d=`
bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
`,p="bvec4");var f="";a%r>0&&(f=`
if (inIdx < 0 || inIdx >= `+a+`) {
return initializationValue;
}
`),this.userCode=`
const float initializationValue = `+o+`;
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
`+f+`
return getX(batch, inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * `+r+`;
vec4 minMaxValue = vec4(`+o+`);
float prodValue = 1.0;
float sumValue = 0.0;
float allValue = 1.0;
float anyValue = 0.0;
for (int i = 0; i < `+u+`; i += 4) {
int inIdx = inOffset + i;
`+p+" values = "+p+`(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
`+d+`
}
int inIdx = inOffset + `+u+`;
if (`+(h===1)+`) {
`+p+" values = "+p+`(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
`+d+`
} else if (`+(h===2)+`) {
`+p+" values = "+p+`(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
`+d+`
} else if (`+(h===3)+`) {
`+p+" values = "+p+`(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
`+d+`
}
setOutput(`+l+`);
}
`}return n}();var o2=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r="",i=0;i<4;i++){var a="thisRC = rc;";i%2===1&&(a+="thisRC.z += 1;"),i>1&&(a+="thisRC.y += 1;"),r+=`
`+a+`
`+(i>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+`
int flatIndex = getFlatIndex(thisRC);
ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
result[`+i+`] =
getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
`+(i>0?"}":"")+`
`}this.userCode=`
`+lz(e)+`
`+tp(t)+`
void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0.);
ivec3 thisRC;
int rows = `+t[1]+`;
int cols = `+t[2]+`;
`+r+`
setOutput(result);
}
`}return n}();function lz(n){var t=mi(["r","c","d"],n);return`
ivec3 inputCoordsFromReshapedOutCoords(int index) {
`+t+`
return ivec3(r, c, d);
}
`}var uz=function(){function n(t,e,r){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var i=e.shape,a=i[1],s=i[2],o=t.shape,c=o[1],l=o[2],u=[r&&c>1?a-1:a,r&&l>1?s-1:s],h=[r&&c>1?c-1:c,r&&l>1?l-1:l],d=u[0]/h[0],p=u[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,y=Math.ceil(m)*2+2;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
float accumulator = 0.0;
const float heightScale = float(`+d+`);
const float widthScale = float(`+p+`);
const float invHeightScale = float(`+f+`);
const float invWidthScale = float(`+m+`);
const int winHeight = int(`+g+`);
const int winWidth = int(`+y+`);
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(startCLerp - float(winWidth / 2));
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= `+c+`) {
continue;
}
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
// Guard against the window exceeding the bounds of dy
if (dyC < 0 || dyC >= `+l+`) {
continue;
}
float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
int bottomDxRIndex = int(min(ceil(dxR), `+(a-1)+`.0));
float dxRLerp = dxR - float(topDxRIndex);
float inverseDxRLerp = 1.0 - dxRLerp;
float dxC = float(dyC) * widthScale;
int leftDxCIndex = int(floor(dxC));
int rightDxCIndex = int(min(ceil(dxC), `+(s-1)+`.0));
float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
}
}
}
// End loop over dy
setOutput(accumulator);
}
`}return n}();var hz=function(){function n(t,e,r,i){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r];this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
`+l[0]/u[0]+`,
`+l[1]/u[1]+`);
const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.0);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;
// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);
ivec2 sourceCeilRC = ivec2(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
float top = topLeft + (topRight - topLeft) * fracRC.y;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
float newValue = top + (bottom - top) * fracRC.x;
setOutput(newValue);
}
`}return n}();var dz=function(){function n(t,e,r,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r];this.userCode=`
const vec3 effectiveInputOverOutputRatioRC = vec3(
`+l[0]/u[0]+`,
`+l[1]/u[1]+`,
`+l[1]/u[1]+`);
const vec3 inputShapeRC = vec3(`+s+".0, "+o+`.0,
`+o+`.0);
float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
}
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
// Calculate values for next column in yRC.z.
ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
// Fractional source index.
vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;
// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);
ivec3 sourceCeilRC = ivec3(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < `+(c-1)+`;
bool hasNextRow = coords.z < `+(r-1)+`;
// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4(
getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 bottomLeft = vec4(
getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 topRight = vec4(
getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec4 bottomRight = vec4(
getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
vec4 top = mix(topLeft, topRight, fracRC.yyzz);
vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
vec4 newValue = mix(top, bottom, fracRC.x);
setOutput(newValue);
}
`}return n}();var pz=function(){function n(t,e,r){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var i=e.shape,a=i[1],s=i[2],o=t.shape,c=o[1],l=o[2],u=[r&&c>1?a-1:a,r&&l>1?s-1:s],h=[r&&c>1?c-1:c,r&&l>1?l-1:l],d=u[0]/h[0],p=u[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,y=Math.ceil(m)*2+2;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
float accumulator = 0.0;
const float heightScale = float(`+d+`);
const float widthScale = float(`+p+`);
const float invHeightScale = float(`+f+`);
const float invWidthScale = float(`+m+`);
const int winHeight = int(`+g+`);
const int winWidth = int(`+y+`);
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= `+c+`) {
continue;
}
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
// Guard against the window exceeding the bounds of dy
if (dyC < 0 || dyC >= `+l+`) {
continue;
}
float sourceFracRow =
float(`+u[0]+`) *
(float(dyR) / float(`+h[0]+`));
float sourceFracCol =
float(`+u[1]+`) *
(float(dyC) / float(`+h[1]+`));
int sourceNearestRow = int(min(
float(int(`+a+`) - 1),
`+r+` ? float(round(sourceFracRow)) :
float(floor(sourceFracRow))));
int sourceNearestCol = int(min(
float(int(`+s+`) - 1),
`+r+` ? float(round(sourceFracCol)) :
float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
}
}
// End loop over dy
setOutput(accumulator);
}
`}return n}();var fz=function(){function n(t,e,r,i){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],c=t[3];this.outputShape=[a,e,r,c];var l=[i&&e>1?s-1:s,i&&r>1?o-1:o],u=[i&&e>1?e-1:e,i&&r>1?r-1:r],h=i?"0.5":"0.0";this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
`+l[0]/u[0]+`,
`+l[1]/u[1]+`);
const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.0);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + `+h+`)));
float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
setOutput(newValue);
}
`}return n}();var mz=function(){function n(t,e){this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-"+r+" tensor is not yet supported");if(this.outputShape=t,r===1){this.userCode=`
void main() {
int coord = getOutputCoords();
setOutput(getX(`+t[0]+` - coord - 1));
}
`;return}var i=function(o){return e.indexOf(o)!==-1&&t[o]!==1?t[o]+" - coords["+o+"] - 1":"coords["+o+"]"},a=t.map(function(o,c){return i(c)}).join(","),s=Ze(r);this.userCode=`
void main() {
`+s+` coords = getOutputCoords();
setOutput(getX(`+a+`));
}
`}return n}();var gz=function(){function n(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-"+r+" tensor is not yet supported");this.outputShape=t;var i=Bt("rc",r),a=i[r-1]+" + 1 < "+this.outputShape[r-1],s=i[r-2]+" + 1 < "+this.outputShape[r-2],o=Ze(r);r===1?this.userCode=`
void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = getChannel(getX(`+t[0]+` - rc - 1),
`+t[0]+` - rc - 1);
if(`+a+`){
result.g = getChannel(getX(`+t[0]+` - (rc + 1) - 1),
`+t[0]+` - (rc + 1) - 1);
}
setOutput(result);
}
`:this.userCode=`
void main() {
`+o+` rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = `+c(i.slice())+`;
if(`+a+`){
result.g = `+l(i.slice())+`;
}
if(`+s+`) {
result.b = `+u(i.slice())+`;
if(`+a+`) {
result.a = `+h(i.slice())+`;
}
}
setOutput(result);
}
`;function c(f){return d(f)}function l(f){return f[r-1]="("+f[r-1]+" + 1)",d(f)}function u(f){return f[r-2]="("+f[r-2]+" + 1)",d(f)}function h(f){return f[r-1]="("+f[r-1]+" + 1)",f[r-2]="("+f[r-2]+" + 1)",d(f)}function d(f){var m=t.map(function(w,b){return p(b,f)}),g=m.join(","),y=m.slice(-2).join(",");return"getChannel(getX("+g+"), vec2("+y+"))"}function p(f,m){return e.indexOf(f)!==-1&&t[f]!==1?t[f]+" - "+m[f]+" - 1":""+m[f]}}return n}();var c2=function(){function n(t,e,r,i,a,s,o){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;var c=Ze(a.length),l=Ze(s.length),u="";r===1?u="i":r===2&&(u="i, j");var h="getIndices("+u+")",d="";i===1?d="i":i===2&&(d="i, coords[1]");var p="getUpdates("+d+")",f=e>1?"strides[j]":"strides";this.userCode=`
`+c+" strides = "+c+"("+a+`);
void main() {
`+l+` coords = getOutputCoords();
float sum = 0.0;
bool found = false;
for (int i = 0; i < `+t+`; i++) {
int flattenedIndex = 0;
for (int j = 0; j < `+e+`; j++) {
int index = round(`+h+`);
flattenedIndex += index * `+f+`;
}
if (flattenedIndex == coords[0]) {
sum += `+p+`;
found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
}
`}return n}();var yz=function(){function n(t,e){this.variableNames=["x","segmentIds"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.numSegments,o=s*Math.ceil(a/r);this.outputShape=[i,o];var c="0.0",l="sumValue",u=Math.floor(r/4)*4,h=r%4,d=`
sumValue += dot(values, segFilter);
`,p="";a%r>0&&(p=`
if (inIdx < 0 || inIdx >= `+a+`) {
return initializationValue;
}
`);var f="";a%r>0&&(f=`
if (inIdx < 0 || inIdx >= `+a+`) {
return -1.0;
}
`),this.userCode=`
const float initializationValue = `+c+`;
float getValue(int batch, int inIdx) {
`+p+`
return getX(batch, inIdx);
}
float getSegmentIdAtIndex(int inIdx) {
`+f+`
return getSegmentIds(inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = int(floor(float(outIdx) / float(
`+s+")) * float("+r+`));
int currentSeg = int(mod(float(outIdx), float(`+s+`)));
float sumValue = 0.0;
for (int i = 0; i < `+u+`; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0
);
`+d+`
}
int inIdx = inOffset + `+u+`;
if (`+(h===1)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
0,
0,
0
);
`+d+`
} else if (`+(h===2)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
0,
0
);
`+d+`
} else if (`+(h===3)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
0
);
`+d+`
}
setOutput(`+l+`);
}
`}return n}();var vz=function(){function n(t,e,r){this.variableNames=["c","a","b"],this.outputShape=e;var i,a;if(r>4)throw Error("Where for rank "+r+" is not yet supported");if(r===1)a="resRC",i="resRC";else{for(var s=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],c=[],l=0;l<e.length;l++)c.push(""+s[l]),l<t&&o.push(""+s[l]);i=o.join(),a=c.join()}var u=Ze(r);this.userCode=`
void main() {
`+u+` resRC = getOutputCoords();
float cVal = getC(`+i+`);
if (cVal >= 1.0) {
setOutput(getA(`+a+`));
} else {
setOutput(getB(`+a+`));
}
}
`}return n}();var bz=function(){function n(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e=Ze(this.rank),r="uniform int start["+this.rank+"];",i=wz(this.rank),a,s=t.map(function(o,c){return"sourceLoc."+lp[c]+" = start["+c+"] + coords."+lp[c]+";"});a=`
`+e+` sourceLoc;
`+e+` coords = getOutputCoords();
`+s.join(`
`)+`
`,this.userCode=`
`+r+`
void main() {
`+a+`
setOutput(getSource(`+i+`));
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(r,i){if(e.startLoc==null&&(e.startLoc=r.getUniformLocationNoThrow(i,"start"),e.startLoc==null))return;r.gl.uniform1iv(e.startLoc,t)}},n}(),lp=["x","y","z","w","u","v"];function wz(n){if(n===1)return"sourceLoc";if(n<=6)return lp.slice(0,n).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+n+" is not yet supported")}var xz=function(){function n(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Ze(this.rank),r=Bt("coords",this.rank),i=Bt("sourceLoc",this.rank),a=this.rank===1?"sourceLoc":"vec2("+i.slice(-2).join()+")",s="getChannel(getSource("+i.join()+"), "+a+")",o=`
result.x = `+s+`;
if (++`+r[this.rank-1]+" < "+t[this.rank-1]+`) {
++`+i[this.rank-1]+`;
result.y = `+s+`;
--`+i[this.rank-1]+`;
}
`,c=this.rank===1?"":`
--`+r[this.rank-1]+`;
if (++`+r[this.rank-2]+" < "+t[this.rank-2]+`) {
++`+i[this.rank-2]+`;
result.z = `+s+`;
if (++`+r[this.rank-1]+" < "+t[this.rank-1]+`) {
++`+i[this.rank-1]+`;
result.w = `+s+`;
}
}
`,l=this.rank<=4?`sourceLoc = coords +
`+e+"("+t.map(function(u,h){return"start["+h+"]"}).join()+");":t.map(function(u,h){return i[h]+" = "+r[h]+" + start["+h+"];"}).join(`
`);this.userCode=`
uniform int start[`+this.rank+`];
void main() {
`+e+` coords = getOutputCoords();
`+e+` sourceLoc;
`+l+`
vec4 result = vec4(0.);
`+o+`
`+c+`
setOutput(result);
}
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(r,i){if(e.startLoc==null&&(e.startLoc=r.getUniformLocationNoThrow(i,"start"),e.startLoc==null))return;r.gl.uniform1iv(e.startLoc,t)}},n}();var Lz=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=r;var i=r.length,a=Ze(r.length),s=Ze(r.length),o="";if(i===1)o="coords * strides + begin";else{var c=0;o=r.map(function(l,u){return c++,r.length===1?"coords * strides["+u+"] + begin["+u+"]":"coords["+(c-1)+"] * strides["+u+"] + begin["+u+"]"}).join(",")}this.userCode=`
`+a+" begin = "+a+"("+t+`);
`+a+" strides = "+a+"("+e+`);
void main() {
`+s+` coords = getOutputCoords();
setOutput(getX(`+o+`));
}
`}return n}();var Sz=function(){function n(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return n.prototype.acquireTexture=function(t,e,r){var i=u2(e,r),a=h2(t,i,r);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var s=l2(t,i,this.gpgpu.gl,this.gpgpu.textureConfig,r);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}var c;return i===Dt.PACKED_2X2_FLOAT32?c=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===Dt.PACKED_2X2_FLOAT16?c=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===Dt.UNPACKED_FLOAT32?c=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===Dt.UNPACKED_FLOAT16?c=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===Dt.PACKED_4X1_UNSIGNED_BYTE&&(c=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(c),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),c},n.prototype.releaseTexture=function(t,e,r,i){if(this.freeTextures==null)return;var a=u2(r,i),s=h2(e,a,i);s in this.freeTextures||(this.freeTextures[s]=[]);var o=l2(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,i),c=_.env().get("WEBGL_DELETE_TEXTURE_THRESHOLD");c!==-1&&this._numBytesAllocated>c?(this.gpgpu.deleteMatrixTexture(t),this._numBytesAllocated-=o):(this.freeTextures[s].push(t),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var l=this.usedTextures[s],u=l.indexOf(t);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()},n.prototype.log=function(){if(!this.logEnabled)return;var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")");var e=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*e)+"%)")},Object.defineProperty(n.prototype,"numBytesAllocated",{get:function(){return this._numBytesAllocated},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"numBytesFree",{get:function(){return this._numBytesFree},enumerable:!0,configurable:!0}),n.prototype.getNumUsedTextures=function(){return this.numUsedTextures},n.prototype.getNumFreeTextures=function(){return this.numFreeTextures},n.prototype.dispose=function(){var t=this;if(this.freeTextures==null)return;for(var e in this.freeTextures)this.freeTextures[e].forEach(function(r){t.gpgpu.deleteMatrixTexture(r)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(i){t.gpgpu.deleteMatrixTexture(i)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0},n}();function Iz(n,t){var e=n;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===n.RGBA)return 16;if(t===e.RGBA16F)return 8;throw new Error("Unknown internal format "+t)}function l2(n,t,e,r,i){var a=Az(t,r),s;if(i){var o=ea(n[0],n[1]),c=o[0],l=o[1];s=c*l}else{var u=as(n[0],n[1]),h=u[0],d=u[1];s=h*d}var p=Iz(e,a);return s*p}function Az(n,t){switch(n){case Dt.PACKED_2X2_FLOAT32:return ap(t);case Dt.PACKED_2X2_FLOAT16:return sp(t);case Dt.UNPACKED_FLOAT32:return np(t);case Dt.UNPACKED_FLOAT16:return rp(t);case Dt.PACKED_4X1_UNSIGNED_BYTE:return ip(t);default:throw new Error("Unknown physical texture type "+n)}}function Tz(n){return _.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?Dt.PACKED_2X2_FLOAT32:Dt.UNPACKED_FLOAT32:n?Dt.PACKED_2X2_FLOAT16:Dt.UNPACKED_FLOAT16}function u2(n,t){if(n===cn.UPLOAD)return Dt.PACKED_2X2_FLOAT32;if(n===cn.RENDER||n==null)return Tz(t);if(n===cn.DOWNLOAD||n===cn.PIXELS)return Dt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+n)}function h2(n,t,e){return n[0]+"_"+n[1]+"_"+t+"_"+e}var _z=function(){function n(t,e){this.variableNames=["A"];for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[i]*e[i];this.outputShape=r,this.rank=r.length;var a=Ze(this.rank),s=Nz(t);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function Nz(n){var t=n.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(t===1)return"imod(resRC, "+n[0]+")";for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<n.length;i++)r.push("imod("+e[i]+", "+n[i]+")");return r.join()}var De=function(){function n(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode=`
float unaryOperation(float x) {
`+e+`
}
void main() {
float x = getAAtOutCoords();
float y = unaryOperation(x);
setOutput(y);
}
`}return n}(),rr="if (isnan(x)) return x;",Cz="return x;",d2="return abs(x);",p2=rr+`
return (x < 0.0) ? 0.0 : x;
`,f2=rr+`
return (x < 0.0) ? 0.0 : min(6.0, x);
`,m2="return (x >= 0.0) ? x : (exp(x) - 1.0);",Rz=`
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = `+_.backend_util.SELU_SCALEALPHA+`;
float scale = `+_.backend_util.SELU_SCALE+`;
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`;function Oz(n){return n===void 0&&(n=0),rr+(`
return x > 0.0 ? 1.0 : float(`+n+`);
`)}var g2="return -x;",y2="return ceil(x);",v2="return floor(x);",Ez=`
if (isnan(x)) { return 0.0; }
return sign(x);
`,Dz="return float(isnan(x));",kz="return float(isinf(x));",Fz="return float(!isnan(x) && !isinf(x));",Wz=`
// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
}
}
`,w2="return exp(x);",b2="return exp(x) - 1.0;",Uz=`if (x < 0.0) return NAN;
return log(x);`,Bz="return log(1.0 + x);",zz="return sqrt(x);",Pz="return inversesqrt(x);",Mz="return 1.0 / (1.0 + exp(-1.0 * x));",Hz=`
float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
bool too_large = x > -threshold;
bool too_small = x < threshold;
float result;
float exp_x = exp(x);
if (too_large){
result = x;
}
else if (too_small){
result = exp_x;
}
else{
result = log(exp_x + 1.0);
}
return result;
`,Vz=rr+`
if (abs(x) > 1.) {
return NAN;
}
return asin(x);
`,Gz=rr+`
if (abs(x) > 1.) {
return NAN;
}
return acos(x);
`,qz=rr+`
return atan(x);
`,Yz=`
float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
`,Kz=`
float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
`,jz=`
float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,$z=rr+"return log(x + sqrt(x * x + 1.0));",Xz=rr+`
if (x < 1.0) return NAN;
return log(x + sqrt(x * x - 1.0));`,Jz=rr+`
if ((x < -1.0) || (x > 1.0)) return NAN;
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Zz=`
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = `+_.backend_util.ERF_P+`;
float a1 = `+_.backend_util.ERF_A1+`;
float a2 = `+_.backend_util.ERF_A2+`;
float a3 = `+_.backend_util.ERF_A3+`;
float a4 = `+_.backend_util.ERF_A4+`;
float a5 = `+_.backend_util.ERF_A5+`;
float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
`,Qz="return 1.0 / x;",eP="return float(!(x >= 1.0));",ec="return x;";var tP="return x;",nP=`
vec4 result = log(x);
vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
result.r = isNaN.r == 1.0 ? NAN : result.r;
result.g = isNaN.g == 1.0 ? NAN : result.g;
result.b = isNaN.b == 1.0 ? NAN : result.b;
result.a = isNaN.a == 1.0 ? NAN : result.a;
return result;
`,x2=`
vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
`,L2=`
vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
`,S2=`
vec4 result;
result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
return result;
`,ds=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`
vec4 unaryOperation(vec4 x) {
`+e+`
}
void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
setOutput(y);
}
`}return n}();var rP=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,r=Bt("rc",e),i=Ze(e),a=cU(e,r),s=r.slice(-2),o=e<=1?"rc":"vec2("+s.join(",")+")";this.userCode=`
void main() {
`+i+` rc = getOutputCoords();
vec4 packedInput = getA(`+a+`);
setOutput(getChannel(packedInput, `+o+`));
}
`}return n}();var I2=_.backend_util.segment_util,iP=_.kernel_impls.split,aP=_.kernel_impls.tile,sP=_.kernel_impls.topkImpl,oP=_.kernel_impls.whereImpl,cP=1e-7,lP=1e-4,tc={};function uP(n){return n in tc||(tc[n]={}),tc[n]}function nc(n,t){if(t===void 0&&(t=!1),n==="linear")return t?tP:Cz;if(n==="relu")return t?x2:p2;if(n==="elu")return t?S2:m2;if(n==="relu6")return t?L2:f2;if(n==="prelu")return t?Fb:kb;throw new Error("Activation "+n+" has not been implemented for the WebGL backend.")}var hP=128,dP=600;function pP(){return _.env().global.screen==null?1024:_.env().global.screen.height*_.env().global.screen.width*window.devicePixelRatio*dP/1024/1024}var A2=1e3,T2=function(n){mW(t,n);function t(e){var r=n.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.warnedAboutCPUBackend=!1,r.pendingDeletes=0,r.disposed=!1,!_.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){var i=Pn(_.env().getNumber("WEBGL_VERSION"));r.binaryCache=uP(_.env().getNumber("WEBGL_VERSION")),r.gpgpu=new i2(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new Sz(r.gpgpu),r.numMBBeforeWarning=pP(),r.texData=new _.DataStorage(r,_.engine()),r}return t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,r,i){if((_.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||_.env().getBool("DEBUG"))&&this.checkNumericalProblems(e),i==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var a={};return this.texData.set(a,{shape:r,dtype:i,values:e,usage:cn.UPLOAD,refCount:1,complexParentRefCount:0}),a},t.prototype.incRef=function(e){var r=this.texData.get(e);r.refCount++},t.prototype.decRef=function(e){if(this.texData.has(e)){var r=this.texData.get(e);r.refCount--}},t.prototype.move=function(e,r,i,a){if(_.env().getBool("DEBUG")&&this.checkNumericalProblems(r),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:i,dtype:a,values:r,usage:cn.UPLOAD,refCount:1,complexParentRefCount:0})},t.prototype.disposeIntermediateTensorInfo=function(e){var r=e.dataId;if(this.texData.has(r)){var i=this.texData.get(r);i.refCount--,i.refCount<1&&this.disposeData(r)}},t.prototype.readSync=function(e){var r=this.texData.get(e),i=r.values,a=r.dtype,s=r.complexTensorInfos,o=r.slice,c=r.shape,l=r.isPacked;if(o!=null){var u=void 0;l?u=new ds(c,ec):u=new De(c,ec);var h=this.runWebGLProgram(u,[{dataId:e,shape:c,dtype:a}],a),d=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),d}if(i!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return i;var p=this.activeTimers!=null,f;p&&(f=_.util.now());var m;if(a==="complex64"){var g=this.readSync(s.real.dataId),y=this.readSync(s.imag.dataId);m=_.backend_util.mergeRealAndImagArrays(g,y)}else m=this.getValuesFromTexture(e);return p&&(this.downloadWaitMs+=_.util.now()-f),this.convertAndCacheOnCPU(e,m)},t.prototype.read=function(e){return qo(this,void 0,void 0,function(){var r,i,a,s,o,c,l,u,h,d,p,f,m,g,y,w,b,L,x,N,I,C;return Yo(this,function(O){switch(O.label){case 0:if(this.pendingRead.has(e))return r=this.pendingRead.get(e),[2,new Promise(function(D){return r.push(D)})];if(i=this.texData.get(e),a=i.values,s=i.shape,o=i.slice,c=i.dtype,l=i.complexTensorInfos,u=i.isPacked,o!=null)return h=void 0,u?h=new ds(s,ec):h=new De(s,ec),d=this.runWebGLProgram(h,[{dataId:e,shape:s,dtype:c}],c),p=this.read(d.dataId),this.disposeIntermediateTensorInfo(d),[2,p];if(a!=null)return[2,this.convertAndCacheOnCPU(e)];if(!_.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&_.env().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return f=null,c!=="complex64"&&_.env().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),g=this.texData.get(m.dataId),f=(C=this.gpgpu).createBufferFromTexture.apply(C,[g.texture].concat(ss(s)))),this.pendingRead.set(e,[]),c!=="complex64"?[4,this.gpgpu.createAndWaitForFence()]:[3,2];case 1:O.sent(),O.label=2;case 2:return c==="complex64"?[4,Promise.all([this.read(l.real.dataId),this.read(l.imag.dataId)])]:[3,4];case 3:return w=O.sent(),b=w[0],L=w[1],y=_.backend_util.mergeRealAndImagArrays(b,L),[3,5];case 4:f==null?y=this.getValuesFromTexture(e):(x=_.util.sizeFromShape(s),y=this.gpgpu.downloadFloat32MatrixFromBuffer(f,x)),O.label=5;case 5:return m!=null&&this.disposeIntermediateTensorInfo(m),N=this.convertAndCacheOnCPU(e,y),I=this.pendingRead.get(e),this.pendingRead.delete(e),I.forEach(function(D){return D(N)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,N]}})})},t.prototype.checkNumericalProblems=function(e){if(e==null)return;for(var r=0;r<e.length;r++){var i=e[r];if(!ab(i))throw _.env().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error("The value "+i+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'"):Error("The value "+i+" cannot be represented on this device.")}},t.prototype.getValuesFromTexture=function(e){var r,i=this.texData.get(e),a=i.shape,s=i.dtype,o=i.isPacked,c=_.util.sizeFromShape(a);if(_.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var l=this.decode(e),u=this.texData.get(l.dataId),h=(r=this.gpgpu).downloadMatrixFromPackedTexture.apply(r,[u.texture].concat(ss(a))).subarray(0,c);return this.disposeIntermediateTensorInfo(l),h}var d=_.env().getBool("WEBGL_PACK")&&o===!0,p=d?$o(a):a,f=d?new WB(p):new FB(p),m=this.runWebGLProgram(f,[{shape:p,dtype:s,dataId:e}],"float32"),g=this.texData.get(m.dataId),y=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,c);return this.disposeIntermediateTensorInfo(m),y},t.prototype.time=function(e){return qo(this,void 0,void 0,function(){var r,i,a,s,o,c,l;return Yo(this,function(u){switch(u.label){case 0:return r=this.activeTimers,i=[],a=!1,this.programTimersStack==null?(this.programTimersStack=i,a=!0):this.activeTimers.push(i),this.activeTimers=i,e(),s=_.util.flatten(this.activeTimers.map(function(h){return h.query})).filter(function(h){return h!=null}),o=_.util.flatten(this.activeTimers.map(function(h){return h.name})).filter(function(h){return h!=null}),this.activeTimers=r,a&&(this.programTimersStack=null),c={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},_.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(s)]:[3,2];case 1:return l=u.sent(),c.kernelMs=_.util.sum(l),c.getExtraProfileInfo=function(){return l.map(function(h,d){return{name:o[d],ms:h}}).map(function(h){return h.name+": "+h.ms}).join(", ")},[3,3];case 2:c.kernelMs={error:"WebGL query timers are not supported in this environment."},u.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,c]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},t.prototype.startTimer=function(){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:_.util.now(),endMs:null}},t.prototype.endTimer=function(e){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=_.util.now(),e)},t.prototype.getQueryTime=function(e){return qo(this,void 0,void 0,function(){var r;return Yo(this,function(i){return _.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:(r=e,[2,r.endMs-r.startMs])})})},t.prototype.disposeData=function(e){if(this.pendingDisposal.has(e))return;if(this.pendingRead.has(e)){this.pendingDisposal.add(e),this.pendingDeletes++;return}if(!this.texData.has(e))return;if(this.texData.get(e).complexParentRefCount>0){this.texData.get(e).refCount--;return}this.releaseGPUData(e);var r=this.texData.get(e).complexTensorInfos;r!=null&&(this.texData.get(r.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(r.real),this.texData.get(r.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(r.imag)),this.texData.delete(e)},t.prototype.releaseGPUData=function(e){var r=this.texData.get(e),i=r.texture,a=r.dtype,s=r.texShape,o=r.usage,c=r.isPacked,l=r.slice,u=l&&l.origDataId||e,h=this.dataRefCount.get(u);h>1?this.dataRefCount.set(u,h-1):(this.dataRefCount.delete(u),i!=null&&(this.numBytesInGPU-=this.computeBytes(s,a),this.textureManager.releaseTexture(i,s,o,c)));var d=this.texData.get(e);d.texture=null,d.texShape=null,d.isPacked=!1,d.slice=null},t.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},t.prototype.getDataInfo=function(e){return this.texData.get(e)},t.prototype.getCPUBackend=function(){return _.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=_.engine().findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,r){var i=this;r===void 0&&(r=hP);var a=this.getCPUBackend();return!this.warnedAboutCPUBackend&&a==null&&(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),a!=null&&e.every(function(s){return i.texData.get(s.dataId).texture==null&&_.util.sizeFromShape(s.shape)<r})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.slice=function(e,r,i){if(this.shouldExecuteOnCPU([e])){var a=nU(this.texData.get(e.dataId).values,r,i,e.shape,e.dtype);return this.makeOutput(i,e.dtype,a)}if(_.util.sizeFromShape(i)===0)return _.tensor([],i,e.dtype);var s=this.texData.get(e.dataId).isPacked,o=_.slice_util.isSliceContinous(e.shape,r,i);if(s||!o){var c=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xz(i):new bz(i),l=c.getCustomSetupFunc(r);return this.compileAndRun(c,[e],null,l)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,r,i)},t.prototype.shallowSlice=function(e,r,i){var a=this.texData.get(e.dataId),s=this.makeOutput(i,e.dtype),o=this.texData.get(s.dataId);Object.assign(o,a),o.shape=i,o.dtype=e.dtype;var c=_.slice_util.computeFlatOffset(r,e.strides);a.slice&&(c+=a.slice.flatOffset),o.slice={flatOffset:c,origDataId:a.slice&&a.slice.origDataId||e.dataId};var l=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,l+1),s},t.prototype.stridedSlice=function(e,r,i,a){var s=this,o=this.tryRunOnCpuOrThrow([e],function(){return s.cpuBackend.stridedSlice(e,r,i,a)});if(o)return o;var c=_.slice_util.computeOutShape(r,i,a);if(c.some(function(u){return u===0}))return _.tensor([],c);var l=new Lz(r,a,c);return this.compileAndRun(l,[e])},t.prototype.reverse=function(e,r){var i=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new gz(e.shape,r):new mz(e.shape,r);return this.compileAndRun(i,[e])},t.prototype.neg=function(e){var r=this,i=this.tryRunOnCpuOrThrow([e],function(){return r.cpuBackend.neg(e)});if(i)return i;if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,g2,e.dtype);var a=new De(e.shape,g2);return this.compileAndRun(a,[e])},t.prototype.batchMatMul=function(e,r,i,a){var s=i?e.shape[2]:e.shape[1],o=a?r.shape[1]:r.shape[2],c=i?e.shape[1]:e.shape[2],l=Math.max(e.shape[0],r.shape[0]);if((s===1||o===1)&&c>A2){i&&(e=_.transpose(e,[0,2,1])),a&&(r=_.transpose(r,[0,2,1]));var u=o===1?e:e.as3D(l,c,1),h=o===1?2:1,d=o===1?r.as3D(l,1,c):r,p=_.mul(u,d);return p.sum(h,!0)}var f=_.upcastType(e.dtype,r.dtype),m=new op(e.shape,r.shape,[l,s,o],i,a);return this.compileAndRun(m,[e,r],f)},t.prototype.fusedBatchMatMul=function(e){var r=e.a,i=e.b,a=e.transposeA,s=e.transposeB,o=e.bias,c=e.activation,l=e.preluActivationWeights,u=a?r.shape[2]:r.shape[1],h=s?i.shape[1]:i.shape[2],d=Math.max(r.shape[0],i.shape[0]),p=_.upcastType(r.dtype,i.dtype),f=o!=null,m=l!=null,g=c?nc(c,!0):null,y=new op(r.shape,i.shape,[d,u,h],a,s,f,g,m),w=[r,i];return o&&w.push(o),l&&w.push(l),this.compileAndRun(y,w,p)},t.prototype.localResponseNormalization4D=function(e,r,i,a,s){var o=_.env().getBool("WEBGL_PACK_NORMALIZATION")?new JB(e.shape,r,i,a,s):new $B(e.shape,r,i,a,s);return this.compileAndRun(o,[e])},t.prototype.LRNGrad=function(e,r,i,a,s,o,c){var l=new XB(r.shape,a,s,o,c);return this.compileAndRun(l,[r,i,e])},t.prototype.tile=function(e,r){if(e.dtype==="string"){var i=this.readSync(e.dataId),a=i.map(function(c){return _.util.decodeString(c)}),s=_.buffer(e.shape,e.dtype,a);return aP(s,r)}var o=new _z(e.shape,r);return this.compileAndRun(o,[e])},t.prototype.pad=function(e,r,i){var a=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new cz(e.shape,r,i):new oz(e.shape,r,i);return this.compileAndRun(a,[e])},t.prototype.gather=function(e,r,i){var a=this,s=this.tryRunOnCpuOrThrow([e,r],function(){return a.cpuBackend.gather(e,r,i)});if(s)return s;var o=new MB(e.shape,r.size,i);return this.compileAndRun(o,[e,r])},t.prototype.batchToSpaceND=function(e,r,i){_.util.assert(e.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var a=r.reduce(function(h,d){return h*d}),s=_.backend_util.getReshaped(e.shape,r,a),o=_.backend_util.getPermuted(s.length,r.length),c=_.backend_util.getReshapedPermuted(e.shape,r,a),l=_.backend_util.getSliceBeginCoords(i,r.length),u=_.backend_util.getSliceSize(c,i,r.length);return _.transpose(e.reshape(s),o).reshape(c).slice(l,u)},t.prototype.spaceToBatchND=function(e,r,i){_.util.assert(e.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var a=r.reduce(function(p,f){return p*f}),s=[[0,0]];s.push.apply(s,i);for(var o=1+r.length;o<e.shape.length;++o)s.push([0,0]);var c=e.pad(s),l=_.backend_util.getReshaped(c.shape,r,a,!1),u=_.backend_util.getPermuted(l.length,r.length,!1),h=_.backend_util.getReshapedPermuted(c.shape,r,a,!1),d=_.transpose(c.reshape(l),u);return _.reshape(d,h)},t.prototype.reduce=function(e,r,i){var a=e.shape[0],s=e.shape[1],o=_.backend_util.computeOptimalWindowSize(s),c=Math.ceil(s/o),l={windowSize:o,inSize:s,batchSize:a,outSize:c},u=new s2(l,r),h=this.compileAndRun(u,[e],i);return h.shape[1]===1?h:this.reduce(h,r,i)},t.prototype.argReduce=function(e,r,i){i===void 0&&(i=null);var a=e.shape[0],s=e.shape[1];i!=null&&(a=i.shape[0],s=i.shape[1]);var o=_.backend_util.computeOptimalWindowSize(s),c={windowSize:o,inSize:s,batchSize:a,outSize:Math.ceil(s/o)},l=new oU(c,r,i==null),u=[e];i!=null&&u.push(i);var h=this.compileAndRun(l,u,"int32");return h.shape[1]===1?h:this.argReduce(e,r,h)},t.prototype.argReducePacked=function(e,r,i){i===void 0&&(i=null);var a=i!=null?i.shape:e.shape,s=a[a.length-1],o=_.backend_util.computeOptimalWindowSize(s),c=new qU(a,o,r,i==null),l=i==null?[e]:[e,i],u=this.compileAndRun(c,l,"int32");return u.rank===e.rank?this.argReducePacked(e,r,u):u},t.prototype.sum=function(e,r){_.backend_util.assertAxesAreInnerMostDims("sum",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o),l=_.sumOutType(e.dtype);return this.reduce(c,"sum",l).reshape(a)},t.prototype.prod=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e],function(){return i.cpuBackend.prod(e,r)});if(a)return a;var s=_.backend_util.computeOutAndReduceShapes(e.shape,r),o=s[0],c=s[1],l=_.util.sizeFromShape(c),u=e.as2D(-1,l),h=_.sumOutType(e.dtype);return this.reduce(u,"prod",h).reshape(o)},t.prototype.unsortedSegmentSum=function(e,r,i){var a=0,s=_.backend_util.getAxesPermutation([a],e.rank),o=e;s!=null&&(o=_.transpose(e,s),a=_.backend_util.getInnerMostAxes(1,e.rank)[0]);var c=I2.computeOutShape(o.shape,a,i),l=_.util.sizeFromShape([o.shape[a]]),u=o.as2D(-1,l),h=_.sumOutType(e.dtype),d=this.segOpCompute(u,"unsortedSegmentSum",r,h,i).reshape(c);return s!=null&&(d=_.transpose(d,_.backend_util.getUndoAxesPermutation(s))),d},t.prototype.segOpCompute=function(e,r,i,a,s){var o=e.shape[0],c=e.shape[1],l=I2.segOpComputeOptimalWindowSize(c,s),u={windowSize:l,inSize:c,batchSize:o,numSegments:s},h=new yz(u,r),d=this.compileAndRun(h,[e,i],a);return d.shape[1]===s?d:(i=_.range(0,s).tile([c/l]),this.segOpCompute(d,r,i,a,s))},t.prototype.argMinMaxReduce=function(e,r,i){var a=[r];if(_.backend_util.assertAxesAreInnerMostDims("arg"+i.charAt(0).toUpperCase()+i.slice(1),a,e.rank),!_.env().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var s=_.backend_util.computeOutAndReduceShapes(e.shape,a),o=s[0],c=s[1],l=_.util.sizeFromShape(c),u=e.as2D(-1,l);return this.argReduce(u,i).reshape(o)}return this.argReducePacked(e,i)},t.prototype.argMin=function(e,r){return this.argMinMaxReduce(e,r,"min")},t.prototype.argMax=function(e,r){return this.argMinMaxReduce(e,r,"max")},t.prototype.cumsum=function(e,r,i,a){if(r!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+r));for(var s=e.shape[r],o=e,c=0;c<=Math.ceil(Math.log2(s))-1;c++){var l=new Mb(e.shape,!1,a),u=l.getCustomSetupFunc(c),h=o;o=this.compileAndRun(l,[o],o.dtype,u),h.dispose()}if(i){var l=new Mb(e.shape,i,a),h=o;o=this.compileAndRun(l,[o]),h.dispose()}return o},t.prototype.equal=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,uB,"bool");var i=new Wt(XU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.less=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.less(e,r)});if(a)return a;if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,hB,"bool");var s=new Wt(JU,e.shape,r.shape);return this.compileAndRun(s,[e,r],"bool")},t.prototype.lessEqual=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,dB,"bool");var i=new Wt(ZU,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.greater=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.greater(e,r)});if(a)return a;if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,pB,"bool");var s=new Wt(QU,e.shape,r.shape);return this.compileAndRun(s,[e,r],"bool")},t.prototype.greaterEqual=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,fB,"bool");var i=new Wt(eB,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.logicalNot=function(e){var r=new De(e.shape,eP);return this.compileAndRun(r,[e])},t.prototype.logicalAnd=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,mB,"bool");var i=new Wt(tB,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.logicalOr=function(e,r){if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,gB,"bool");var i=new Wt(nB,e.shape,r.shape);return this.compileAndRun(i,[e,r],"bool")},t.prototype.select=function(e,r,i){var a=new vz(e.rank,r.shape,r.rank);return this.compileAndRun(a,[e,r,i],_.upcastType(r.dtype,i.dtype))},t.prototype.where=function(e){_.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var r=e.dataSync();return oP(e.shape,r)},t.prototype.topk=function(e,r,i){var a=e.dataSync();return sP(a,e.shape,e.dtype,r,i)},t.prototype.min=function(e,r){_.backend_util.assertAxesAreInnerMostDims("min",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"min",c.dtype).reshape(a)},t.prototype.minimum=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.minimum(e,r)});if(a)return a;var s=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nr(vB,e.shape,r.shape):new Wt(iB,e.shape,r.shape);return this.compileAndRun(s,[e,r])},t.prototype.mod=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nr(wB,e.shape,r.shape):new Wt(aB,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.maximum=function(e,r){var i=this,a=this.tryRunOnCpuOrThrow([e,r],function(){return i.cpuBackend.maximum(e,r)});if(a)return a;var s=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nr(yB,e.shape,r.shape):new Wt(rB,e.shape,r.shape);return this.compileAndRun(s,[e,r])},t.prototype.all=function(e,r){_.backend_util.assertAxesAreInnerMostDims("all",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"all",c.dtype).reshape(a)},t.prototype.any=function(e,r){_.backend_util.assertAxesAreInnerMostDims("any",r,e.rank);var i=_.backend_util.computeOutAndReduceShapes(e.shape,r),a=i[0],s=i[1],o=_.util.sizeFromShape(s),c=e.as2D(-1,o);return this.reduce(c,"any",c.dtype).reshape(a)},t.prototype.floorDiv=function(e,r){var i=jU,a="int32";if(_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,r,oB,a);var s=new Wt(i,e.shape,r.shape);return this.compileAndRun(s,[e,r],a)},t.prototype.packedUnaryOp=function(e,r,i){var a=new ds(e.shape,r);return this.compileAndRun(a,[e],i)},t.prototype.packedBinaryOp=function(e,r,i,a,s){s===void 0&&(s=!1);var o=new nr(i,e.shape,r.shape,s);return this.compileAndRun(o,[e,r],a)},t.prototype.makeComplexComponentTensorInfo=function(e,r){return{dataId:r.dataId,dtype:r.dtype,shape:e.shape}},t.prototype.addN=function(e){if(e.length===1)return e[0];if(e.length>_.env().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var r=Math.floor(e.length/2),i=this.addN(e.slice(0,r)),a=this.addN(e.slice(r));return this.addN([i,a])}var s=e.map(function(u){return u.dtype}).reduce(function(u,h){return _.upcastType(u,h)}),o=e.map(function(u){return u.shape}),c=_.env().getBool("WEBGL_PACK"),l=c?new sU(e[0].shape,o):new aU(e[0].shape,o);return this.compileAndRun(l,e,s)},t.prototype.pow=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),a=i?new nr(cB,e.shape,r.shape):new Wt($U,e.shape,r.shape),s=_.upcastType(e.dtype,r.dtype);return this.compileAndRun(a,[e,r],s)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var r=jW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,y2,e.dtype);var i=new De(e.shape,y2);return this.compileAndRun(i,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e])){var r=JW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,v2,e.dtype);var i=new De(e.shape,v2);return this.compileAndRun(i,[e])},t.prototype.sign=function(e){var r=new De(e.shape,Ez);return this.compileAndRun(r,[e])},t.prototype.isNaN=function(e){var r=new De(e.shape,Dz);return this.compileAndRun(r,[e],"bool")},t.prototype.isInf=function(e){var r=new De(e.shape,kz);return this.compileAndRun(r,[e],"bool")},t.prototype.isFinite=function(e){var r=new De(e.shape,Fz);return this.compileAndRun(r,[e],"bool")},t.prototype.round=function(e){var r=new De(e.shape,Wz);return this.compileAndRun(r,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e])){var r=$W(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,w2,e.dtype);var i=new De(e.shape,w2);return this.compileAndRun(i,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var r=XW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,b2,e.dtype);var i=new De(e.shape,b2);return this.compileAndRun(i,[e])},t.prototype.softmax=function(e,r){var i=_.util.parseAxisParam([r],e.shape),a=_.max(e,i),s=_.backend_util.expandShapeToKeepDim(a.shape,i),o=_.sub(e,a.reshape(s)),c=this.exp(o),l=this.sum(c,i).reshape(s);return _.div(c,l)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e])){var r=ZW(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,nP,e.dtype);var i=new De(e.shape,Uz);return this.compileAndRun(i,[e])},t.prototype.log1p=function(e){var r=new De(e.shape,Bz);return this.compileAndRun(r,[e])},t.prototype.sqrt=function(e){var r=new De(e.shape,zz);return this.compileAndRun(r,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var r=tU(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,r)}var i=new De(e.shape,Pz);return this.compileAndRun(i,[e])},t.prototype.reciprocal=function(e){var r=new De(e.shape,Qz);return this.compileAndRun(r,[e])},t.prototype.relu=function(e){var r;return _.env().getBool("WEBGL_PACK")?r=new ds(e.shape,x2):r=new De(e.shape,p2),this.compileAndRun(r,[e])},t.prototype.relu6=function(e){var r;return _.env().getBool("WEBGL_PACK")?r=new ds(e.shape,L2):r=new De(e.shape,f2),this.compileAndRun(r,[e])},t.prototype.prelu=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nr(Fb,e.shape,r.shape):new Wt(kb,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.elu=function(e){if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,S2,e.dtype);var r=new De(e.shape,m2);return this.compileAndRun(r,[e])},t.prototype.eluDer=function(e,r){var i=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new nr(lB,e.shape,r.shape):new Wt(sB,e.shape,r.shape);return this.compileAndRun(i,[e,r])},t.prototype.selu=function(e){var r=new De(e.shape,Rz);return this.compileAndRun(r,[e])},t.prototype.clip=function(e,r,i){var a;_.env().getBool("WEBGL_PACK_CLIP")?a=new xB(e.shape):a=new bB(e.shape);var s=a.getCustomSetupFunc(r,i);return this.compileAndRun(a,[e],null,s)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e])&&e.dtype!=="complex64"){var r=YW(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,r)}if(_.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,d2,e.dtype);var i=new De(e.shape,d2);return this.compileAndRun(i,[e])},t.prototype.complexAbs=function(e){var r=this.texData.get(e.dataId),i=new LB(e.shape),a=[this.makeComplexComponentTensorInfo(e,r.complexTensorInfos.real),this.makeComplexComponentTensorInfo(e,r.complexTensorInfos.imag)];return this.compileAndRun(i,a)},t.prototype.sigmoid=function(e){var r=new De(e.shape,Mz);return this.compileAndRun(r,[e])},t.prototype.softplus=function(e){var r=new De(e.shape,Hz);return this.compileAndRun(r,[e])},t.prototype.asin=function(e){var r=new De(e.shape,Vz);return this.compileAndRun(r,[e])},t.prototype.acos=function(e){var r=new De(e.shape,Gz);return this.compileAndRun(r,[e])},t.prototype.atan=function(e){var r=new De(e.shape,qz);return this.compileAndRun(r,[e])},t.prototype.sinh=function(e){var r=new De(e.shape,Yz);return this.compileAndRun(r,[e])},t.prototype.cosh=function(e){var r=new De(e.shape,Kz);return this.compileAndRun(r,[e])},t.prototype.tanh=function(e){var r=new De(e.shape,jz);return this.compileAndRun(r,[e])},t.prototype.asinh=function(e){var r=new De(e.shape,$z);return this.compileAndRun(r,[e])},t.prototype.acosh=function(e){var r=new De(e.shape,Xz);return this.compileAndRun(r,[e])},t.prototype.atanh=function(e){var r=new De(e.shape,Jz);return this.compileAndRun(r,[e])},t.prototype.erf=function(e){var r=new De(e.shape,Zz);return this.compileAndRun(r,[e])},t.prototype.step=function(e,r){var i=new De(e.shape,Oz(r));return this.compileAndRun(i,[e])},t.prototype.conv2dByMatMul=function(e,r,i,a,s,o){var c=e.shape,l=this.texData.get(e.dataId),u=i.inChannels,h=c[0]*c[1]*c[2],d=i.outChannels,p=i.dataFormat==="channelsLast",f=!1,m=!1,g=(h===1||d===1)&&u>A2,y=c[2]%2!==0&&!!l.isPacked;if(g||!_.env().getBool("WEBGL_LAZILY_UNPACK")||!_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!y){var w=p?c[0]*c[1]*c[2]:c[0]*c[2]*c[3],b=_.reshape(e,[1,w,i.inChannels]),L=_.reshape(r,[1,i.inChannels,i.outChannels]),x=this.fusedBatchMatMul({a:b,b:L,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o});return _.reshape(x,i.outShape)}var N=p?c[0]*c[1]*(c[2]+1):c[0]*c[2]*(c[3]+1),I={dataId:e.dataId,shape:[1,N,i.inChannels],dtype:e.dtype},C=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,_.util.assert(ls(l.shape,I.shape),function(){return"packed reshape "+l.shape+" to "+I.shape+" isn't free"});var O=_.reshape(r,[1,i.inChannels,i.outChannels]),D=this.fusedBatchMatMul({a:I,b:O,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o}),F=this.texData.get(D.dataId);return _.util.assert(F.isPacked,function(){return"batchMatMul result is expected to be packed"}),l.shape=C,F.shape=i.outShape,_.engine().makeTensorFromDataId(D.dataId,i.outShape,D.dtype)},t.prototype.conv2dWithIm2Row=function(e,r,i,a,s,o){var c=i.filterWidth,l=i.filterHeight,u=i.inChannels,h=i.outWidth,d=i.outHeight,p=i.dataFormat,f=p==="channelsLast",m=c*l*u,g=d*h,y=[m,g],w=!0,b=!1,L=e.squeeze([0]),x=r.reshape([1,m,-1]),N=new jB(y,L.shape,i),I=this.compileAndRun(N,[L]).reshape([1,y[0],y[1]]),C=a!=null,O=o!=null,D=s?nc(s,!0):null,F=new op(I.shape,x.shape,[1,g,i.outChannels],w,b,C,D,O),k=[I,x];a&&k.push(a),O&&k.push(o);var B=this.compileAndRun(F,k);return f?B.reshape([1,d,h,i.outChannels]):B.reshape([1,i.outChannels,d,h])},t.prototype.fusedConv2d=function(e){var r=e.input,i=e.filter,a=e.convInfo,s=e.bias,o=e.activation,c=e.preluActivationWeights;if(a.filterHeight===1&&a.filterWidth===1&&a.dilationHeight===1&&a.dilationWidth===1&&a.strideHeight===1&&a.strideWidth===1&&(a.padInfo.type==="SAME"||a.padInfo.type==="VALID"))return this.conv2dByMatMul(r,i,a,s,o,c);if(_.env().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)return this.conv2dWithIm2Row(r,i,a,s,o,c);var l=s!=null,u=c!=null,h=o?nc(o,!1):null,d=new Wb(a,l,h,u),p=[r,i];return s&&p.push(s),c&&p.push(c),this.compileAndRun(d,p)},t.prototype.conv2d=function(e,r,i){if(i.filterHeight===1&&i.filterWidth===1&&i.dilationHeight===1&&i.dilationWidth===1&&i.strideHeight===1&&i.strideWidth===1&&(i.padInfo.type==="SAME"||i.padInfo.type==="VALID"))return this.conv2dByMatMul(e,r,i);if(_.env().getBool("WEBGL_CONV_IM2COL")&&e.shape[0]===1)return this.conv2dWithIm2Row(e,r,i);var a=new Wb(i);return this.compileAndRun(a,[e,r])},t.prototype.conv2dDerInput=function(e,r,i){var a=new IB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv2dDerFilter=function(e,r,i){var a=new SB(i);return this.compileAndRun(a,[e,r])},t.prototype.fusedDepthwiseConv2D=function(e){var r=e.input,i=e.filter,a=e.convInfo,s=e.bias,o=e.activation,c=e.preluActivationWeights,l=_.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels===1,u=o?nc(o,l):null,h=[r,i],d=s!=null,p=c!=null;d&&h.push(s),p&&h.push(c);var f;return l?(f=new Bb(a,d,u,p),this.compileAndRun(f,h)):(f=new Ub(a,d,u,p),this.compileAndRun(f,h))},t.prototype.depthwiseConv2D=function(e,r,i){var a;return _.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels===1?(a=new Bb(i),this.compileAndRun(a,[e,r])):(a=new Ub(i),this.compileAndRun(a,[e,r]))},t.prototype.depthwiseConv2DDerInput=function(e,r,i){var a=new _B(i);return this.compileAndRun(a,[e,r])},t.prototype.depthwiseConv2DDerFilter=function(e,r,i){var a=new NB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3d=function(e,r,i){var a=new CB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3dDerInput=function(e,r,i){var a=new TB(i);return this.compileAndRun(a,[e,r])},t.prototype.conv3dDerFilter=function(e,r,i){var a=new AB(i);return this.compileAndRun(a,[e,r])},t.prototype.unstack=function(e,r){for(var i=e.shape[r],a=new Array(e.rank-1),s=0,o=0;o<e.rank;o++)o!==r&&(a[s++]=e.shape[o]);var c=new Array(e.rank).fill(0),l=e.shape.slice();l[r]=1;for(var u=new Array(i),o=0;o<u.length;o++)c[r]=o,u[o]=this.slice(e,c,l).reshape(a);return u},t.prototype.avgPool3d=function(e,r){var i=new cp(r,"avg",!1);return this.compileAndRun(i,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,r,i){var a=new KU(i);return this.compileAndRun(a,[e],r.dtype)},t.prototype.maxPool3d=function(e,r){var i=new cp(r,"max",!1);return this.compileAndRun(i,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,r,i,a){var s=!0,o=new cp(a,"max",s),c=this.compileAndRun(o,[r]),l=new QB(a),u=this.compileAndRun(l,[e,c],r.dtype);return c.dispose(),u},t.prototype.resizeBilinear=function(e,r,i,a){var s=_.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new dz(e.shape,r,i,a):new hz(e.shape,r,i,a);return this.compileAndRun(s,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,r,i){var a=new uz(e,r,i);return this.compileAndRun(a,[e])},t.prototype.resizeNearestNeighbor=function(e,r,i,a){var s=new fz(e.shape,r,i,a);return this.compileAndRun(s,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,r,i){var a=new pz(e,r,i);return this.compileAndRun(a,[e])},t.prototype.multinomial=function(e,r,i,a){var s=r?e:_.softmax(e),o=s.shape[0],c=s.shape[1],l=new ez(o,c,i),u=l.getCustomSetupFunc(a);return this.compileAndRun(l,[s],"int32",u)},t.prototype.oneHot=function(e,r,i,a){var s=new tz(e.size,r,i,a);return this.compileAndRun(s,[e])},t.prototype.diag=function(e){var r=new kB(e.size);return this.compileAndRun(r,[e])},t.prototype.cropAndResize=function(e,r,i,a,s,o){var c=new RB(e.shape,r.shape,a,s,o);return this.compileAndRun(c,[e,r,i],"float32")},t.prototype.depthToSpace=function(e,r,i){_.util.assert(r>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+r});var a=e.shape[0],s=i==="NHWC"?e.shape[1]:e.shape[2],o=i==="NHWC"?e.shape[2]:e.shape[3],c=i==="NHWC"?e.shape[3]:e.shape[1],l=s*r,u=o*r,h=c/(r*r),d=i==="NHWC"?[a,l,u,h]:[a,h,l,u],p=new DB(d,r,i);return this.compileAndRun(p,[e])},t.prototype.split=function(e,r,i){return iP(e,r,i)},t.prototype.scatterND=function(e,r,i){var a=_.backend_util.calculateShapes(r,e,i),s=a.sliceRank,o=a.numUpdates,c=a.sliceSize,l=a.strides,u=a.outputSize,h=[u/c,c],d=e.reshape([o,s]),p=r.reshape([o,c]);if(u===0)return _.backend_util.reshapeTensor(_.tensor([]),i);var f=_.scalar(0),m=new c2(o,s,d.rank,p.rank,l,h),g=this.compileAndRun(m,[p,d,f]);return g.reshape(i)},t.prototype.sparseToDense=function(e,r,i,a){var s=_.backend_util.calculateShapes(r,e,i),o=s.sliceRank,c=s.numUpdates,l=s.strides,u=s.outputSize,h=!1,d=new c2(c,o,e.rank,r.rank,l,[u,1],h),p=this.compileAndRun(d,[r,e,a]);return p.reshape(i)},t.prototype.gatherND=function(e,r){var i=r.shape,a=i[i.length-1],s=_.backend_util.prepareAndValidate(e,r),o=s[0],c=s[1],l=s[2],u=s[3],h=r.reshape([c,a]),d=e.reshape([e.size/l,l]),p=new HB(a,u,[c,l]),f=this.compileAndRun(p,[d,h]);return f.reshape(o)},t.prototype.fill=function(e,r,i){if(i=i||_.util.inferDtype(r),i==="string"){var a=_.util.getArrayFromDType(i,_.util.sizeFromShape(e));return a.fill(r),_.engine().makeTensor(a,e,i,this)}else{var s=new zB(e,r),o=s.getCustomSetupFunc(r);return this.compileAndRun(s,[],i,o)}},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){return this.fill(e.shape,e.dtype==="string"?"":0,e.dtype)},t.prototype.linspace=function(e,r,i){return _.backend_util.linspaceImpl(e,r,i)},t.prototype.makeTensorInfo=function(e,r,i){var a=this.write(i,e,r);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:r}},t.prototype.makeOutput=function(e,r,i){var a=this.makeTensorInfo(e,r,i).dataId;return _.engine().makeTensorFromDataId(a,e,r,this)},t.prototype.unpackTensor=function(e){var r=new rP(e.shape);return this.runWebGLProgram(r,[e],e.dtype)},t.prototype.packTensor=function(e){var r=new az(e.shape),i=!0;return this.runWebGLProgram(r,[e],e.dtype,null,i)},t.prototype.packedReshape=function(e,r){var i=[pi(e.shape)].concat(fi(e.shape)),a={dtype:e.dtype,shape:i,dataId:e.dataId},s=[pi(r)].concat(fi(r)),o=new o2(s,i),c=!0,l=this.runWebGLProgram(o,[a],e.dtype,null,c);return{dataId:l.dataId,shape:r,dtype:l.dtype}},t.prototype.decode=function(e){var r=this.texData.get(e),i=r.isPacked,a=r.shape,s=r.dtype,o=$o(a),c;i?c=new EB(o):c=new OB(o);var l=!0,u=this.runWebGLProgram(c,[{shape:o,dtype:s,dataId:e}],s,null,l);return{dtype:s,shape:a,dataId:u.dataId}},t.prototype.runWebGLProgram=function(e,r,i,a,s){var o=this;s===void 0&&(s=!1);var c=this.makeTensorInfo(e.outputShape,i),l=this.texData.get(c.dataId);if(e.packedOutput&&(l.isPacked=!0),e.outPackingScheme===is.DENSE){var u=ss(e.outputShape);l.texShape=u.map(function(b){return b*2})}if(e.outTexUsage!=null&&(l.usage=e.outTexUsage),_.util.sizeFromShape(c.shape)===0)return l.values=_.util.getTypedArrayFromDType(c.dtype,0),c;var h=[],d=r.map(function(b){if(b.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var L=o.texData.get(b.dataId);if(L.texture==null){if(!e.packedInputs&&_.util.sizeFromShape(b.shape)<=_.env().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:b.shape,texData:null,isUniform:!0,uniformValues:L.values};e.packedInputs&&(L.isPacked=!0,L.shape=b.shape)}else if(!!L.isPacked!==!!e.packedInputs)b=L.isPacked?o.unpackTensor(b):o.packTensor(b),h.push(b),L=o.texData.get(b.dataId);else if(L.isPacked&&!ls(L.shape,b.shape)){var x=b,N=b.shape;b.shape=L.shape,b=o.packedReshape(b,N),h.push(b),L=o.texData.get(b.dataId),x.shape=N}return o.uploadToGPU(b.dataId),{shape:b.shape,texData:L,isUniform:!1}});this.uploadToGPU(c.dataId);var p={shape:c.shape,texData:l,isUniform:!1},f=KB(e,d,p),m=this.getAndSaveBinary(f,function(){return qB(o.gpgpu,e,d,p)}),g=this.activeTimers!=null,y;if(g&&(y=this.startTimer()),YB(this.gpgpu,m,d,p,a),h.forEach(function(b){return o.disposeIntermediateTensorInfo(b)}),g&&(y=this.endTimer(y),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(y)})),!_.env().getBool("WEBGL_LAZILY_UNPACK")&&l.isPacked&&s===!1){var w=this.unpackTensor(c);return this.disposeIntermediateTensorInfo(c),w}return c},t.prototype.compileAndRun=function(e,r,i,a,s){s===void 0&&(s=!1),i=i||r[0].dtype;var o=this.runWebGLProgram(e,r,i,a,s);return _.engine().makeTensorFromDataId(o.dataId,o.shape,o.dtype)},t.prototype.getAndSaveBinary=function(e,r){return e in this.binaryCache||(this.binaryCache[e]=r()),this.binaryCache[e]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){var e=this;if(this.disposed)return;if(!_.env().getBool("IS_TEST")){var r=Object.keys(this.binaryCache);r.forEach(function(i){e.gpgpu.deleteProgram(e.binaryCache[i].webGLProgram),delete e.binaryCache[i]})}this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0},t.prototype.floatPrecision=function(){var e=this;return this.floatPrecisionValue==null&&(this.floatPrecisionValue=_.tidy(function(){if(!_.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var r=_.env().getBool("DEBUG");_.env().set("DEBUG",!1);var i=e.abs(_.scalar(1e-8)).dataSync()[0];if(_.env().set("DEBUG",r),i>0)return 32}return 16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return this.floatPrecision()===32?cP:lP},t.prototype.uploadToGPU=function(e){var r,i=this.texData.get(e),a=i.shape,s=i.dtype,o=i.values,c=i.texture,l=i.usage,u=i.isPacked;if(c!=null)return;var h=this.activeTimers!=null,d;h&&(d=_.util.now());var p=i.texShape;if(p==null&&(p=xb(a,u),i.texShape=p),o!=null){var f=$o(a),m=void 0,g=p[1],y=p[0],w=o instanceof Uint8Array;u?(r=ea(p[0],p[1]),g=r[0],y=r[1],m=new BB(f,[y,g],w)):m=new UB(f,[y,g],w);var b=this.makeTensorInfo([y,g],s);w?this.texData.get(b.dataId).usage=cn.PIXELS:this.texData.get(b.dataId).usage=cn.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),g,y,o);var L=!0,x=this.runWebGLProgram(m,[b],s,null,L),N=this.texData.get(x.dataId);i.texture=N.texture,i.texShape=N.texShape,i.isPacked=N.isPacked,i.usage=N.usage,this.disposeIntermediateTensorInfo(b),this.texData.delete(x.dataId),i.values=null,h&&(this.uploadWaitMs+=_.util.now()-d)}else{var I=this.acquireTexture(p,l,s,u);i.texture=I}},t.prototype.convertAndCacheOnCPU=function(e,r){var i=this.texData.get(e),a=i.dtype;return this.releaseGPUData(e),r!=null&&(i.values=fP(r,a)),i.values},t.prototype.acquireTexture=function(e,r,i,a){if(this.numBytesInGPU+=this.computeBytes(e,i),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){var s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+s+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,r,a)},t.prototype.computeBytes=function(e,r){return e[0]*e[1]*_.util.bytesPerElement(r)},t.prototype.tryRunOnCpuOrThrow=function(e,r){if(this.shouldExecuteOnCPU(e))try{return r()}catch(i){if(_.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(_.KernelBackend);function fP(n,t){if(t==="float32"||t==="complex64")return n;if(t==="int32"||t==="bool"){for(var e=t==="int32"?new Int32Array(n.length):new Uint8Array(n.length),r=0;r<e.length;++r)e[r]=Math.round(n[r]);return e}else throw new Error("Unknown dtype "+t)}var mP="2.7.0";function N2(){_.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}_.device_util.isBrowser()&&_.registerBackend("webgl",function(){return new T2},2);var gP={forceHalfFloat:N2};function ir(n){var t=n.inputs,e=n.backend,r=t.x;return e.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var yP={kernelName:_.Identity,backendName:"webgl",kernelFunc:ir};function oa(n){var t=n.inputs,e=n.backend,r=t.real,i=t.imag,a=e.makeTensorInfo(r.shape,"complex64"),s=e.texData.get(a.dataId),o=ir({inputs:{x:r},backend:e}),c=e.texData.get(o.dataId);c.complexParentRefCount++;var l=ir({inputs:{x:i},backend:e}),u=e.texData.get(l.dataId);return u.complexParentRefCount++,s.complexTensorInfos={real:o,imag:l},a}var vP={kernelName:_.Complex,backendName:"webgl",kernelFunc:oa};var _2="if (isnan(x)) return x;",wP=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,bP=`
result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
`;function rc(n){return function(t){var e=t.inputs,r=t.backend,i=e.x,a=r,s=new De(i.shape,n);return a.runWebGLProgram(s,[i],i.dtype)}}function ca(n){var t=n.opSnippet,e=n.packedOpSnippet,r=n.checkOutOfBounds,i=r===void 0?!1:r,a=n.supportsComplex,s=a===void 0?!1:a,o=n.cpuKernelImpl,c=n.dtype;return function(l){var u=l.inputs,h=l.backend,d=u,p=d.a,f=d.b,m=h;if(s&&p.dtype==="complex64"){var g=m.texData.get(p.dataId),y=m.texData.get(f.dataId),w=[[g.complexTensorInfos.real,y.complexTensorInfos.real],[g.complexTensorInfos.imag,y.complexTensorInfos.imag]].map(function(V){var P=V[0],G=V[1],j={dataId:P.dataId,dtype:P.dtype,shape:p.shape},q={dataId:G.dataId,dtype:G.dtype,shape:f.shape},H=new Wt(t,p.shape,f.shape);return m.runWebGLProgram(H,[j,q],_.upcastType(P.dtype,G.dtype))}),b=w[0],L=w[1],x=oa({inputs:{real:b,imag:L},backend:m});return m.disposeIntermediateTensorInfo(b),m.disposeIntermediateTensorInfo(L),x}var N=c||_.upcastType(p.dtype,f.dtype);if(m.shouldExecuteOnCPU([p,f])&&o!=null){var g=m.texData.get(p.dataId),y=m.texData.get(f.dataId),I=o(p.shape,f.shape,g.values,y.values,N),C=I[0],O=I[1],D=m.makeTensorInfo(O,N),F=m.texData.get(D.dataId);return F.values=C,D}var k=_.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,B;return k?B=new nr(e,p.shape,f.shape,i):B=new Wt(t,p.shape,f.shape),m.runWebGLProgram(B,[p,f],N)}}var C2="return a + b;",xP=ca({opSnippet:C2,packedOpSnippet:C2,supportsComplex:!0,cpuKernelImpl:KW}),LP={kernelName:_.Add,backendName:"webgl",kernelFunc:xP};var SP=wP+`
return atan(a, b);
`,IP=`
vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+bP+`
return result;
`,AP=ca({opSnippet:SP,packedOpSnippet:IP}),TP={kernelName:_.Atan2,backendName:"webgl",kernelFunc:AP};function NP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ta(i,"avgPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;_.util.assert(_.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=_.backend_util.computePool2DInfo(i.shape,a,s,l,o,c);if(u.filterWidth===1&&u.filterHeight===1&&_.util.arraysEqual(u.inShape,u.outShape))return ir({inputs:{x:i},backend:e});var h=new hs(u,"avg",!1);return e.runWebGLProgram(h,[i],"float32")}var _P={kernelName:_.AvgPool,backendName:"webgl",kernelFunc:NP};function CP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=a;ta([i,a],"avgPoolBackprop");var o=r.filterSize,c=r.strides,l=r.pad,u=_.backend_util.computePool2DInfo(s.shape,o,c,1,l),h=new YU(u);return e.runWebGLProgram(h,[i],s.dtype)}var RP={kernelName:_.AvgPoolBackprop,backendName:"webgl",kernelFunc:CP};var OP=function(){function n(t,e,r,i,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],_.backend_util.assertAndGetBroadcastShape(t,e),_.backend_util.assertAndGetBroadcastShape(t,r);var o="0.0";i!=null&&(_.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var c="1.0";a!=null&&(_.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
float offset = `+o+`;
float scale = `+c+`;
float inv = scale * inversesqrt(variance + float(`+s+`));
setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
`}return n}();var EP=function(){function n(t,e,r,i,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],_.backend_util.assertAndGetBroadcastShape(t,e),_.backend_util.assertAndGetBroadcastShape(t,r);var o="vec4(0.0)";i!=null&&(_.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var c="vec4(1.0)";a!=null&&(_.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
void main() {
vec4 offset = `+o+`;
vec4 scale = `+c+`;
vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
vec4 inv = scale * inversesqrt(variance + vec4(`+s+`));
setOutput((x - mean) * inv + offset);
}
`}return n}();var DP=function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=t.mean,s=t.variance,o=t.offset,c=t.scale;_.util.assert(a.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),_.util.assert(o==null||a.shape.length===o.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),_.util.assert(c==null||a.shape.length===c.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var l=r.varianceEpsilon;l==null&&(l=.001);var u=[i,a,s],h=null;o!=null&&(h=o.shape,u.push(o));var d=null;c!=null&&(d=c.shape,u.push(c));var p=_.env().getBool("WEBGL_PACK_NORMALIZATION")?new EP(i.shape,a.shape,s.shape,h,d,l):new OP(i.shape,a.shape,s.shape,h,d,l),f=e.runWebGLProgram(p,u,u[0].dtype);return f},kP={kernelName:_.FusedBatchNorm,backendName:"webgl",kernelFunc:DP};var FP="return float(a != b);",R2=ca({opSnippet:FP,dtype:"bool"}),WP={kernelName:_.NotEqual,backendName:"webgl",kernelFunc:R2};function up(n){var t=n.inputs,e=n.backend,r=t.input,i=e.texData.get(r.dataId);return ir({inputs:{x:i.complexTensorInfos.real},backend:e})}var UP={kernelName:_.Real,backendName:"webgl",kernelFunc:up};var BP="return float(int(x));";function zP(n,t){var e=new De(n.shape,BP),r=t.runWebGLProgram(e,[n],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}function hp(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.dtype;if(a==="complex64"){if(i.dtype==="complex64")return ir({inputs:{x:i},backend:e});var s=_.zeros(i.shape),o=hp({inputs:{x:i},backend:e,attrs:{dtype:"float32"}}),c=oa({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),c}if(i.dtype==="complex64"){var l=up({inputs:{input:i},backend:e}),c=hp({inputs:{x:l},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(l),c}if(!_.util.hasEncodingLoss(i.dtype,a)){var c=ir({inputs:{x:i},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:a}}if(a==="int32")return zP(i,e);if(a==="bool"){var u=e.makeTensorInfo([],"bool",_.util.getTypedArrayFromDType("bool",1)),h={a:i,b:u},c=R2({inputs:h,backend:e});return e.disposeIntermediateTensorInfo(u),c}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+a)}var PP={kernelName:_.Cast,backendName:"webgl",kernelFunc:hp};var MP=function(){function n(t){this.outputShape=[],this.outputShape=_.backend_util.computeOutShape(t,1),this.variableNames=t.map(function(c,l){return"T"+l});var e=new Array(t.length-1);e[0]=t[0][1];for(var r=1;r<e.length;r++)e[r]=e[r-1]+t[r][1];for(var i=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"],r=1;r<e.length;r++){var a=e[r-1];i.push("else if (yC < "+e[r]+") "+("setOutput(getT"+r+"(yR, yC-"+a+"));"))}var s=e.length,o=e[e.length-1];i.push("else setOutput(getT"+s+"(yR, yC-"+o+"));"),this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
`+i.join(`
`)+`
}
`}return n}();var HP=function(){function n(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=_.backend_util.computeOutShape(t,e);var r=this.outputShape,i=r.length,a=Ze(i),s=Bt("coords",i),o=["x","y","z","w","u","v"].slice(0,i);this.variableNames=t.map(function(y,w){return"T"+w});var c=new Array(t.length-1);c[0]=t[0][e];for(var l=1;l<c.length;l++)c[l]=c[l-1]+t[l][e];for(var u=o[e],h=o.slice(-2),d=o.join(),p="if ("+u+" < "+c[0]+`) {
return getChannel(
getT0(`+d+"), vec2("+h.join()+`));
}`,l=1;l<c.length;l++){var f=c[l-1];p+=`
if (`+u+" < "+c[l]+" && "+u+" >= "+c[l-1]+`) {
return getChannel(
getT`+l+"("+ic(o,u,f)+`),
vec2(`+ic(h,u,f)+`));
}`}var m=c.length,g=c[c.length-1];p+=`
return getChannel(
getT`+m+"("+ic(o,u,g)+`),
vec2(`+ic(h,u,g)+"));",this.userCode=`
float getValue(`+o.map(function(y){return"int "+y})+`) {
`+p+`
}
void main() {
`+a+` coords = getOutputCoords();
vec4 result = vec4(getValue(`+s+`), 0., 0., 0.);
`+s[i-1]+" = "+s[i-1]+` + 1;
if (`+s[i-1]+" < "+r[i-1]+`) {
result.g = getValue(`+s+`);
}
`+s[i-2]+" = "+s[i-2]+` + 1;
if (`+s[i-2]+" < "+r[i-2]+`) {
result.a = getValue(`+s+`);
}
`+s[i-1]+" = "+s[i-1]+` - 1;
if (`+s[i-2]+" < "+r[i-2]+` &&
`+s[i-1]+" < "+r[i-1]+`) {
result.b = getValue(`+s+`);
}
setOutput(result);
}
`}return n}();function ic(n,t,e){var r=n.indexOf(t),i=n.map(function(a,s){return s===r?a+" - "+e:a});return i.join()}function O2(n){var t=n.inputs,e=n.backend,r=t.input,i=e.texData.get(r.dataId);return ir({inputs:{x:i.complexTensorInfos.imag},backend:e})}var VP={kernelName:_.Imag,backendName:"webgl",kernelFunc:O2};function GP(n,t,e){var r=[pi(n.shape)].concat(fi(n.shape)),i={dtype:n.dtype,shape:r,dataId:n.dataId},a=[pi(t)].concat(fi(t)),s=new o2(a,r),o=!0,c=e.runWebGLProgram(s,[i],n.dtype,null,o);return{dataId:c.dataId,shape:t,dtype:c.dtype}}function ar(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.shape,s=e,o=_.util.sizeFromShape(i.shape),c=_.util.inferFromImplicitShape(a,o),l=_.util.sizeFromShape(c);_.util.assert(o===l,function(){return"The new shape ("+c+") has "+l+" elements and the old "+("shape ("+i.shape+") has "+o+" elements. The new shape and old ")+"shape must have the same number of elements."});var u=s.texData.get(i.dataId);return u.isPacked&&!ls(i.shape,c)&&!(u.texture!==null&&ls(u.shape,c))?GP(i,c,s):(s.incRef(i.dataId),{dataId:i.dataId,shape:c,dtype:i.dtype})}var qP={kernelName:_.Reshape,backendName:"webgl",kernelFunc:ar};function la(n,t,e){var r=n[0].dtype;if(r==="complex64"){var i=n.map(function(b){return up({inputs:{input:b},backend:e})}),a=n.map(function(b){return O2({inputs:{input:b},backend:e})}),s=la(i,t,e),o=la(a,t,e),c=oa({inputs:{real:s,imag:o},backend:e});return i.forEach(function(b){return e.disposeIntermediateTensorInfo(b)}),a.forEach(function(b){return e.disposeIntermediateTensorInfo(b)}),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(o),c}if(n.length>_.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var l=Math.floor(n.length/2),u=la(n.slice(0,l),t,e),h=la(n.slice(l),t,e),d=la([u,h],t,e);return e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(h),d}if(_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&n[0].shape.length>1){var p=new HP(n.map(function(b){return b.shape}),t);return e.runWebGLProgram(p,n,r)}var f=_.backend_util.computeOutShape(n.map(function(b){return b.shape}),t),m=n.map(function(b){return ar({inputs:{x:b},attrs:{shape:[-1,_.util.sizeFromShape(b.shape.slice(t))]},backend:e})}),g=new MP(m.map(function(b){return b.shape})),y=e.runWebGLProgram(g,m,r);m.forEach(function(b){return e.disposeIntermediateTensorInfo(b)});var w=ar({inputs:{x:y},attrs:{shape:f},backend:e});return e.disposeIntermediateTensorInfo(y),w}function YP(n){var t=n.inputs,e=n.backend,r=n.attrs,i=r.axis,a=_.util.parseAxisParam(i,t[0].shape)[0],s=_.backend_util.computeOutShape(t.map(function(l){return l.shape}),a);if(_.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(l){return _.util.sizeFromShape(l.shape)>0});if(o.length===1)return o[0];var c=o.map(function(l){return l.shape});return _.backend_util.assertParamsConsistent(c,a),la(o,a,e)}var KP={kernelName:_.Concat,backendName:"webgl",kernelFunc:YP};var jP=_2+`
return cos(x);
`,$P=rc(jP),XP={kernelName:_.Cos,backendName:"webgl",kernelFunc:$P};var JP=`
if (a == b) {
return 1.0;
};
return a / b;`,ZP=`
// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b;
if(a.x == b.x) {
result.x = 1.;
}
if(a.y == b.y) {
result.y = 1.;
}
if(a.z == b.z) {
result.z = 1.;
}
if(a.w == b.w) {
result.w = 1.;
}
return result;
`,QP=ca({opSnippet:JP,packedOpSnippet:ZP,checkOutOfBounds:!0}),eM={kernelName:_.Div,backendName:"webgl",kernelFunc:QP};var E2=function(){function n(t,e,r){this.variableNames=["real","imag"];var i=e[1];this.outputShape=e;var a=r?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,s=r?i+".0":"1.0",o;if(t==="real")o="return real * expR - imag * expI;";else if(t==="imag")o="return real * expI + imag * expR;";else throw new Error('FFT component must be either "real" or "imag", got '+t+".");this.userCode=`
const float exponentMultiplier = `+a+`;
float unaryOpComplex(float real, float expR, float imag, float expI) {
`+o+`
}
float mulMatDFT(int batch, int index) {
float indexRatio = float(index) / float(`+i+`);
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
float result = 0.0;
for (int i = 0; i < `+i+`; i++) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float(i);
float expR = cos(x);
float expI = sin(x);
float real = getReal(batch, i);
float imag = getImag(batch, i);
result +=
unaryOpComplex(real, expR, imag, expI) / `+s+`;
}
return result;
}
void main() {
ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
}
`}return n}();function D2(n,t,e){var r=e.texData.get(n.dataId),i=_.util.sizeFromShape(n.shape),a=n.shape[n.shape.length-1],s=i/a,o=ar({inputs:{x:n},backend:e,attrs:{shape:[s,a]}}),c=o.shape,l=new E2("real",c,t),u=new E2("imag",c,t),h=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:c},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:c}],d=e.runWebGLProgram(l,h,"float32"),p=e.runWebGLProgram(u,h,"float32"),f=oa({inputs:{real:d,imag:p},backend:e});e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p);var m=ar({inputs:{x:f},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(m),m}function tM(n){var t=n.inputs,e=n.backend,r=t.input;return D2(r,!1,e)}var nM={kernelName:_.FFT,backendName:"webgl",kernelFunc:tM};var rM=function(){function n(t){this.variableNames=["Image"],this.outputShape=[];var e=t[2];this.outputShape=t,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int coordX = `+e+` - x;
float outputValue;
if(coordX >= 0 && coordX < `+e+`) {
outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
} else {
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
}
setOutput(outputValue);
}
`}return n}();var iM={kernelName:_.FlipLeftRight,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=t.image,i=e,a=new rM(r.shape),s=i.runWebGLProgram(a,[r],r.dtype);return s}};var aM=function(){function n(t){this.variableNames=["A"];var e=zt(),r=t[0],i=t[1];this.outputShape=t,this.userCode=`
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+i+".0, "+r+`.0);
vec4 values = `+e.texture2D+`(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
setOutput(floor(value * 255.0 + 0.5));
}
`}return n}();var sM=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=zt(),r=t[0],i=t[1];this.outputShape=t,this.userCode=`
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec4 result = vec4(0.);
for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(`+i+".0, "+r+`.0);
vec4 values = `+e.texture2D+`(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
result[row * 2 + col] = floor(value * 255.0 + 0.5);
}
}
`+e.output+` = result;
}
`}return n}();var cM={kernelName:_.FromPixels,backendName:"webgl",kernelFunc:oM},ua;function oM(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.pixels,a=r.numChannels,s=typeof HTMLVideoElement!="undefined"&&i instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&i instanceof HTMLImageElement,c=s?[i.videoWidth,i.videoHeight]:[i.width,i.height],l=c[0],u=c[1],h=[u,l],d=[u,l,a];(o||s)&&(ua==null&&(ua=document.createElement("canvas").getContext("2d")),ua.canvas.width=l,ua.canvas.height=u,ua.drawImage(i,0,0,l,u),i=ua.canvas);var p=e.makeTensorInfo(h,"int32");e.texData.get(p.dataId).usage=cn.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(p.dataId),i);var f=_.env().getBool("WEBGL_PACK")?new sM(d):new aM(d),m=e.runWebGLProgram(f,[p],"int32");return e.disposeData(p.dataId),m}function lM(n){var t=n.inputs,e=n.backend,r=t.input;return D2(r,!0,e)}var uM={kernelName:_.IFFT,backendName:"webgl",kernelFunc:lM};var k2=function(){function n(t,e){this.variableNames=["x"];var r=t.windowSize,i=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[i,s];var o=Math.floor(r/4)*4,c=r%4,l="sumValue += dot(values, ones);";if(e!=null){var u=1/e;l="sumValue += dot(values * "+(_.util.isInt(u)?u.toPrecision(2):u)+", ones);"}var h="";a%r>0&&(h=`
if (inIdx < 0 || inIdx >= `+a+`) {
return 0.0;
}
`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
`+h+`
return getX(batch, inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * `+r+`;
float sumValue = 0.0;
for (int i = 0; i < `+o+`; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
`+l+`
}
int inIdx = inOffset + `+o+`;
if (`+(c===1)+`) {
vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
`+l+`
} else if (`+(c===2)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
`+l+`
} else if (`+(c===3)+`) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
`+l+`
}
setOutput(sumValue);
}
`}return n}();function hM(n){for(var t=[];t.length===0||t[t.length-1].outSize!==1;){var e=t.length?t[t.length-1].outSize:n[1],r=_.backend_util.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:r,outSize:Math.ceil(e/r)})}return t}function F2(n,t,e,r){for(var i=hM(n.shape),a=n,s=0;s<i.length;s++){var o=i[s],c=o.inSize,l=o.windowSize,u=o.outSize,h=void 0,d=void 0;e==="mean"?h=s===0?new k2({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u},c):new k2({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u}):h=new s2({windowSize:l,inSize:c,batchSize:n.shape[0],outSize:u},e),d=a,a=r.runWebGLProgram(h,[a],t),d.dataId!==n.dataId&&r.disposeIntermediateTensorInfo(d)}return a}function dM(n,t,e,r){var i=_.util.sizeFromShape(t),a=_.util.sizeFromShape(n.shape),s=a/i,o=ar({inputs:{x:n},attrs:{shape:[s,i]},backend:r}),c=F2(o,n.dtype,"max",r),l=ar({inputs:{x:c},attrs:{shape:e},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(c),l}var fM=function(){function n(t,e){this.variableNames=["A"];for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[e[i]];this.outputShape=r,this.rank=r.length;var a=Ze(this.rank),s=pM(e);this.userCode=`
void main() {
`+a+` resRC = getOutputCoords();
setOutput(getA(`+s+`));
}
`}return n}();function pM(n){var t=n.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),i=0;i<n.length;i++)r[n[i]]=e[i];return r.join()}var mM=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),i=0;i<r.length;i++)r[i]=t[e[i]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=Ze(this.rank),s=_b("rc",this.rank),o=new Array(this.rank),i=0;i<e.length;i++)o[e[i]]=s[i];var c="vec2("+o.slice(-2).join()+")",l="++"+s[this.rank-1]+" < "+r[this.rank-1],u="getChannel(getA("+o.join()+"), "+c+")";this.userCode=`
void main() {
`+a+` rc = getOutputCoords();
vec4 result = vec4(0.);
result[0] = `+u+`;
if(`+l+`) {
result[1] = `+u+`;
}
--`+s[this.rank-1]+`;
if(++`+s[this.rank-2]+" < "+r[this.rank-2]+`) {
result[2] = `+u+`;
if(`+l+`) {
result[3] = `+u+`;
}
}
setOutput(result);
}
`}return n}();function dp(n,t,e){var r=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new mM(n.shape,t):new fM(n.shape,t);return e.runWebGLProgram(r,[n],n.dtype)}var gM={kernelName:_.Max,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.reductionIndices,o=a.keepDims,c=r,l=i.shape.length,u=_.util.parseAxisParam(s,i.shape),h=u,d=_.backend_util.getAxesPermutation(h,l),p=d!=null,f=c.shouldExecuteOnCPU([i]),m=i;if(p){if(f){for(var g=c.texData.get(m.dataId),y=g.values,w=new Array(l),b=0;b<w.length;b++)w[b]=i.shape[d[b]];var L=ep(y,i.shape,i.dtype,d,w);m=c.makeTensorInfo(w,i.dtype);var x=c.texData.get(m.dataId);x.values=L}else m=dp(i,d,c);h=_.backend_util.getInnerMostAxes(h.length,l)}_.backend_util.assertAxesAreInnerMostDims("max",h,l);var N=_.backend_util.computeOutAndReduceShapes(m.shape,h),I=N[0],C=N[1],O=I;o&&(O=_.backend_util.expandShapeToKeepDim(I,u));var D;if(f){var g=c.texData.get(m.dataId),y=g.values,F=QW(y,_.util.sizeFromShape(C),O,i.dtype);D=c.makeTensorInfo(O,i.dtype);var k=c.texData.get(D.dataId);k.values=F}else D=dM(m,C,O,c);return p&&c.disposeIntermediateTensorInfo(m),D}};function yM(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x;ta(i,"maxPool");var a=r.filterSize,s=r.strides,o=r.pad,c=r.dimRoundingMode,l=1;_.util.assert(_.backend_util.eitherStridesOrDilationsAreOne(s,l),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+l+"'")});var u=_.backend_util.computePool2DInfo(i.shape,a,s,l,o,c);if(u.filterWidth===1&&u.filterHeight===1&&_.util.arraysEqual(u.inShape,u.outShape))return ir({inputs:{x:i},backend:e});var h=new hs(u,"max",!1);return e.runWebGLProgram(h,[i],i.dtype)}var vM={kernelName:_.MaxPool,backendName:"webgl",kernelFunc:yM};function wM(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.dy,a=t.input,s=t.output,o=a;ta([a,s],"maxPoolBackprop");var c=r.filterSize,l=r.strides,u=r.pad,h=r.dimRoundingMode,d=_.backend_util.computePool2DInfo(o.shape,c,l,1,u,h),p=!0,f=new hs(d,"max",p),m=e.runWebGLProgram(f,[o],o.dtype),g=new ZB(d),y=e.runWebGLProgram(g,[i,m],o.dtype);return e.disposeIntermediateTensorInfo(m),y}var bM={kernelName:_.MaxPoolBackprop,backendName:"webgl",kernelFunc:wM};function xM(n,t,e,r){var i=new hs(e,"max",!1),a=r.runWebGLProgram(i,[n],"float32");i=new hs(e,"max",!0,!0,t);var s=r.runWebGLProgram(i,[n],"float32");return[a,s]}var LM={kernelName:_.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.filterSize,o=a.strides,c=a.pad,l=a.includeBatchInIndex,u=r;_.util.assert(i.shape.length===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+i.shape.length+"."});var h=[1,1];_.util.assert(_.backend_util.eitherStridesOrDilationsAreOne(o,h),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+o+" and dilations '"+h+"'")});var d=_.backend_util.computePool2DInfo(i.shape,s,o,h,c),p=xM(i,l,d,u),f=p[0],m=p[1];return[f,m]}};function SM(n,t,e,r){var i=_.util.sizeFromShape(t),a=_.util.sizeFromShape(n.shape),s=a/i,o=ar({inputs:{x:n},attrs:{shape:[s,i]},backend:r}),c=F2(o,"float32","mean",r),l=ar({inputs:{x:c},attrs:{shape:e},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(c),l}var IM={kernelName:_.Mean,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e,s=a.keepDims,o=a.axis,c=r,l=i.shape.length,u=_.util.parseAxisParam(o,i.shape),h=u,d=_.backend_util.getAxesPermutation(h,l),p=d!=null,f=c.shouldExecuteOnCPU([i]),m=[],g=i;if(p){if(f){for(var y=c.texData.get(g.dataId),w=y.values,b=new Array(l),L=0;L<b.length;L++)b[L]=i.shape[d[L]];var x=ep(w,i.shape,i.dtype,d,b);g=c.makeTensorInfo(b,i.dtype);var N=c.texData.get(g.dataId);N.values=x}else g=dp(i,d,c);m.push(g),h=_.backend_util.getInnerMostAxes(h.length,l)}_.backend_util.assertAxesAreInnerMostDims("sum",h,l);var I=_.backend_util.computeOutAndReduceShapes(g.shape,h),C=I[0],O=I[1],D=C;s&&(D=_.backend_util.expandShapeToKeepDim(C,u));for(var F=SM(g,O,D,c),k=0,B=m;k<B.length;k++){var L=B[k];c.disposeIntermediateTensorInfo(L)}return F}};var AM=function(){function n(t,e,r){this.variableNames=["x"],this.outputShape=e.map(function(u,h){return u[0]+t[h]+u[1]});var i=t.length,a=Ze(i),s=e.map(function(u){return u[0]}).join(","),o=e.map(function(u,h){return u[0]+t[h]}).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,i),l=r==="reflect"?0:1;if(i===1){this.userCode=`
int start = `+s+`;
int end = `+o+`;
void main() {
int outC = getOutputCoords();
if (outC < start) {
outC = start * 2 - outC - `+l+`;
} else if(outC >= end) {
outC = (end - 1) * 2 - outC + `+l+`;
}
setOutput(getX(outC - start));
}
`;return}this.userCode=`
`+a+" start = "+a+"("+s+`);
`+a+" end = "+a+"("+o+`);
void main() {
`+a+` outC = getOutputCoords();
for (int i = 0; i < `+i+`; i++) {
if (outC[i] < start[i]) {
outC[i] = start[i] * 2 - outC[i] - `+l+`;
} else if(outC[i] >= end[i]) {
outC[i] = (end[i] - 1) * 2 - outC[i] + `+l+`;
}
}
`+a+` coords = outC - start;
setOutput(getX(`+c+`));
}
`}return n}();var TM=function(){function n(t,e,r){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(m,g){return m[0]+t[g]+m[1]});var i=t.length,a=Ze(i),s=e.map(function(m){return m[0]}).join(","),o=e.map(function(m,g){return m[0]+t[g]}).join(","),c=Bt("rc",i),l=Bt("source",i),u=c[i-1]+" < "+this.outputShape[i-1],h=i===1?"source":"vec2("+l.slice(-2).join()+")",d=r==="reflect"?0:1,p="";if(i===1){var f=`
`+a+` source = rc;
if (source < start) {
source = start * 2 - source - `+d+`;
} else if (source >= end) {
source = (end - 1) * 2 - source + `+d+`;
}
source -= start;
`;p=`
`+a+` rc = outputLoc;
`+f+`
result[0] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[1] = getChannel(getX(`+l.join()+"), "+h+`);
}
`}else{var f=`
`+a+` source = rc;
`+a+" lt = "+a+`(lessThan(source, start));
`+a+" gte = "+a+`(greaterThanEqual(source, end));
`+a+` orig = 1 - (lt + gte);
source = orig * source +
lt * (start * 2 - source - `+d+`) +
gte * ((end - 1) * 2 - source + `+d+`);
source -= start;
`;p=`
`+a+` rc = outputLoc;
`+f+`
result[0] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[1] = getChannel(getX(`+l.join()+"), "+h+`);
}
rc = outputLoc;
`+c[i-2]+` += 1;
if(`+c[i-2]+" < "+this.outputShape[i-2]+`) {
`+f+`
result[2] = getChannel(getX(`+l.join()+"), "+h+`);
`+c[i-1]+` += 1;
if(`+u+`) {
`+f+`
result[3] = getChannel(getX(`+l.join()+"), "+h+`);
}
}
`}this.userCode=`
const `+a+" start = "+a+"("+s+`);
const `+a+" end = "+a+"("+o+`);
void main() {
`+a+` outputLoc = getOutputCoords();
vec4 result = vec4(0.);
`+p+`
setOutput(result);
}
`}return n}();var NM=function(n){var t=n.inputs,e=n.backend,r=n.attrs,i=t.x,a=r.paddings,s=r.mode,o=_.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new TM(i.shape,a,s):new AM(i.shape,a,s),c=e.runWebGLProgram(o,[i],i.dtype);return c},_M={kernelName:_.MirrorPad,backendName:"webgl",kernelFunc:NM};var W2={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},U2=function(){function n(t,e,r){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=_.backend_util.assertAndGetBroadcastShape(e,r),this.userCode=`
float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
`+t+`
}
void main() {
float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
`}return n}();var B2="return a * b;";function CM(n){var t=n.inputs,e=n.backend,r=t.a,i=t.b,a=_.backend_util.upcastType(r.dtype,i.dtype);if(r.dtype==="complex64"){var s=e.texData.get(r.dataId),o=e.texData.get(i.dataId),c=new U2(W2.REAL,r.shape,i.shape),l=new U2(W2.IMAG,r.shape,i.shape),u=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:r.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:i.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:i.shape}],h=e.runWebGLProgram(c,u,"float32"),d=e.runWebGLProgram(l,u,"float32"),p=oa({inputs:{real:h,imag:d},backend:e});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}if(e.shouldExecuteOnCPU([r,i])){var s=e.texData.get(r.dataId),o=e.texData.get(i.dataId),f=eU(r.shape,i.shape,s.values,o.values,a),m=f[0],g=f[1],y=e.makeTensorInfo(g,a),w=e.texData.get(y.dataId);return w.values=m,y}var b;return _.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?b=new nr(B2,r.shape,i.shape):b=new Wt(B2,r.shape,i.shape),e.runWebGLProgram(b,[r,i],a)}var RM={kernelName:_.Multiply,backendName:"webgl",kernelFunc:CM};var OM={kernelName:_.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=e,d=h.readSync(a.dataId),p=h.readSync(s.dataId),f=c,m=l,g=u;return _.kernel_impls.nonMaxSuppressionV3Impl(d,p,f,m,g)}};var EM=_.kernel_impls.nonMaxSuppressionV4Impl,DM={kernelName:_.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=o.padToMaxOutputSize,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=EM(p,f,c,l,u,h),g=m.selectedIndices,y=m.validOutputs;return[g,y]}};var kM=_.kernel_impls.nonMaxSuppressionV5Impl,FM={kernelName:_.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,r=n.attrs;_.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var i=t,a=i.boxes,s=i.scores,o=r,c=o.maxOutputSize,l=o.iouThreshold,u=o.scoreThreshold,h=o.softNmsSigma,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=c,g=l,y=u,w=h,b=kM(p,f,m,g,y,w),L=b.selectedIndices,x=b.selectedScores;return[L,x]}};var WM=function(){function n(t,e,r,i){this.variableNames=["Image"],this.outputShape=[];var a=t[1],s=t[2],o=Math.sin(e).toFixed(3),c=Math.cos(e).toFixed(3);this.outputShape=t;var l=_.backend_util.getImageCenter(i,a,s),u=l[0],h=l[1],d=u.toFixed(3),p=h.toFixed(3),f="";typeof r=="number"?f="float outputValue = "+r.toFixed(2)+";":f=`
vec3 fill = vec3(`+r.join(",")+`);
float outputValue = fill[coords[3]];`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int y = coords[1];
float coordXFloat = (float(x) - `+d+") * "+c+" - (float(y) - "+p+") * "+o+`;
float coordYFloat = (float(x) - `+d+") * "+o+" + (float(y) - "+p+") * "+c+`;
int coordX = int(round(coordXFloat + `+d+`));
int coordY = int(round(coordYFloat + `+p+`));
`+f+`
if(coordX >= 0 && coordX < `+s+" && coordY >= 0 && coordY < "+a+`) {
outputValue = getImage(coords[0], coordY, coordX, coords[3]);
}
setOutput(outputValue);
}
`}return n}();var UM={kernelName:_.RotateWithOffset,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,r=n.backend,i=t.image,a=e,s=a.radians,o=a.fillValue,c=a.center,l=r,u=new WM(i.shape,s,o,c),h=l.runWebGLProgram(u,[i],i.dtype);return h}};var BM=_2+`
return sin(x);
`,zM=rc(BM),PM={kernelName:_.Sin,backendName:"webgl",kernelFunc:zM};var MM="return x * x;",HM=rc(MM),VM={kernelName:_.Square,backendName:"webgl",kernelFunc:HM};var z2="return (a - b) * (a - b);",GM=ca({opSnippet:z2,packedOpSnippet:z2}),qM={kernelName:_.SquaredDifference,backendName:"webgl",kernelFunc:GM};var P2="return a - b;",YM=ca({opSnippet:P2,packedOpSnippet:P2,supportsComplex:!0,cpuKernelImpl:rU}),KM={kernelName:_.Sub,backendName:"webgl",kernelFunc:YM};var jM="return tan(x);",$M=rc(jM),XM={kernelName:_.Tan,backendName:"webgl",kernelFunc:$M};var JM={kernelName:_.Transpose,backendName:"webgl",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,r=n.backend,i=t.x,a=e.perm,s=r,o=i.shape.length,c=new Array(o),l=0;l<c.length;l++)c[l]=i.shape[a[l]];var u;if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId),d=h.values,p=ep(d,i.shape,i.dtype,a,c);u=s.makeTensorInfo(c,i.dtype);var f=s.texData.get(u.dataId);f.values=p}else u=dp(i,a,s);return u}};function ZM(n){var t=n.inputs,e=n.attrs,r=n.backend,i=e.axis,a=t.x;ta(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var s=r.readSync(a.dataId),o=iU(s,i,a.shape,a.dtype),c=o.outputValues,l=o.outputShape,u=o.indices;return[r.makeTensorInfo(l,a.dtype,c),r.makeTensorInfo([u.length],"int32",u)]}var QM={kernelName:_.Unique,backendName:"webgl",kernelFunc:ZM};var eH=[LP,TP,_P,RP,kP,PP,vP,KP,XP,eM,nM,iM,cM,yP,uM,VP,gM,vM,bM,LM,IM,_M,RM,OM,DM,FM,WP,UP,qP,UM,PM,VM,KM,qM,XM,JM,QM];for(var pp=0,M2=eH;pp<M2.length;pp++){var tH=M2[pp];_.registerKernel(tH)}zn.GPGPUContext=i2;zn.MathBackendWebGL=T2;zn.forceHalfFloat=N2;zn.gpgpu_util=VB;zn.setWebGLContext=rb;zn.version_webgl=mP;zn.webgl=gP;zn.webgl_util=OW}),Ut=ve(yi=>{"use strict";Object.defineProperty(yi,"__esModule",{value:!0});var fp=Qr(),mp=A1(),gp=P1(),V2=ow(),nH=nb(),rH=H2();var iH="2.7.0";var aH={"tfjs-core":fp.version_core,"tfjs-backend-cpu":nH.version_cpu,"tfjs-backend-webgl":rH.version_webgl,"tfjs-data":V2.version_data,"tfjs-layers":mp.version_layers,"tfjs-converter":gp.version_converter,tfjs:iH};Object.keys(fp).forEach(function(n){n!=="default"&&Object.defineProperty(yi,n,{enumerable:!0,get:function(){return fp[n]}})});Object.keys(mp).forEach(function(n){n!=="default"&&Object.defineProperty(yi,n,{enumerable:!0,get:function(){return mp[n]}})});Object.keys(gp).forEach(function(n){n!=="default"&&Object.defineProperty(yi,n,{enumerable:!0,get:function(){return gp[n]}})});yi.data=V2;yi.version=aH}),$2=ve(ac=>{const je=Ut(),G2=6;function sH(n){const t={strides:[n/16,n/8],anchors:[2,6]},e=[];for(let r=0;r<t.strides.length;r++){const i=t.strides[r],a=Math.floor((n+i-1)/i),s=Math.floor((n+i-1)/i),o=t.anchors[r];for(let c=0;c<a;c++){const l=i*(c+.5);for(let u=0;u<s;u++){const h=i*(u+.5);for(let d=0;d<o;d++)e.push([h,l])}}}return e}const q2=n=>{n.startEndTensor.dispose(),n.startPoint.dispose(),n.endPoint.dispose()},Y2=n=>({startEndTensor:n,startPoint:je.slice(n,[0,0],[-1,2]),endPoint:je.slice(n,[0,2],[-1,2])}),K2=(n,t)=>{const e=je.mul(n.startPoint,t),r=je.mul(n.endPoint,t),i=je.concat2d([e,r],1);return Y2(i)};function oH(n,t,e){const r=je.slice(n,[0,1],[-1,2]),i=je.add(r,t),a=je.slice(n,[0,3],[-1,2]),s=je.div(a,e),o=je.div(i,e),c=je.div(s,2),l=je.sub(o,c),u=je.add(o,c),h=je.mul(l,e),d=je.mul(u,e),p=1;return je.concat2d([h,d],p)}function cH(n,t){return je.tidy(()=>{const e=n.box?n.box:n;return K2(e,t).startEndTensor.squeeze()})}class j2{constructor(n,t){this.blazeFaceModel=n,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.anchorsData=sH(t.detector.inputSize),this.anchors=je.tensor2d(this.anchorsData),this.inputSize=je.tensor1d([this.width,this.height]),this.config=t,this.scaleFaces=.8}async getBoundingBoxes(n){if(!n||n.isDisposedInternal||n.shape.length!==4||n.shape[1]<1||n.shape[2]<1)return null;const[t,e,r]=je.tidy(()=>{const l=n.resizeBilinear([this.width,this.height]),u=je.sub(l.div(127.5),1),h=this.blazeFaceModel.predict(u);let d;if(Array.isArray(h)){const g=h.sort((L,x)=>L.size-x.size),y=je.concat([g[0],g[2]],2),w=je.concat([g[1],g[3]],2),b=je.concat([w,y],1);d=b.squeeze(0)}else d=h.squeeze();const p=oH(d,this.anchors,this.inputSize),f=je.slice(d,[0,0],[-1,1]),m=f.squeeze();return[d,p,m]}),i=await je.image.nonMaxSuppressionAsync(e,r,this.config.detector.maxFaces,this.config.detector.iouThreshold,this.config.detector.scoreThreshold),a=i.arraySync();i.dispose();const s=a.map(l=>je.slice(e,[l,0],[1,-1])),o=s.map(l=>{const u=l.arraySync();return l.dispose(),u}),c=[];for(let l=0;l<o.length;l++){const u=o[l],h=Y2(u),d=a[l],p=this.anchorsData[d],f=je.slice(t,[d,G2-1],[1,-1]),m=f.squeeze(),g=m.reshape([G2,-1]),y=je.slice(r,[d],[1]),w={box:h,landmarks:g,probability:y,anchor:p};c.push(w),f.dispose(),m.dispose()}return t.dispose(),e.dispose(),r.dispose(),t.dispose(),{boxes:c,scaleFactor:[n.shape[2]/this.width,n.shape[1]/this.height]}}async estimateFaces(n){const{boxes:t,scaleFactor:e}=await this.getBoundingBoxes(n),r=[];for(const i of t){const a=i.landmarks.arraySync(),s=cH(i,e),o=K2.arraySync(),c=i.probability.arraySync(),l=i.anchor,[u,h]=e,d=a.map(f=>[(f[0]+l[0])*u,(f[1]+l[1])*h]),p={topLeft:o.slice(0,2),bottomRight:o.slice(2),landmarks:d,probability:c};q2(i.box),i.landmarks.dispose(),i.probability.dispose(),s.dispose(),r.push(p)}return r}}async function lH(n){const t=await je.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),e=new j2(t,n);return e}ac.load=lH;ac.BlazeFaceModel=j2;ac.disposeBox=q2}),vp=ve(yp=>{yp.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};yp.MESH_TO_IRIS_INDICES_MAP=[{key:"EyeUpper0",indices:[9,10,11,12,13,14,15]},{key:"EyeUpper1",indices:[25,26,27,28,29,30,31]},{key:"EyeUpper2",indices:[41,42,43,44,45,46,47]},{key:"EyeLower0",indices:[0,1,2,3,4,5,6,7,8]},{key:"EyeLower1",indices:[16,17,18,19,20,21,22,23,24]},{key:"EyeLower2",indices:[32,33,34,35,36,37,38,39,40]},{key:"EyeLower3",indices:[54,55,56,57,58,59,60,61,62]},{key:"EyebrowUpper",indices:[63,64,65,66,67,68,69,70]},{key:"EyebrowLower",indices:[48,49,50,51,52,53]}]}),X2=ve(vi=>{const uH=Ut();function hH(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],r=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]];return{startPoint:e,endPoint:r}}vi.scaleBoxCoordinates=hH;function wp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}vi.getBoxSize=wp;function bp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}vi.getBoxCenter=bp;function dH(n,t,e){const r=t.shape[1],i=t.shape[2],a=[[n.startPoint[1]/r,n.startPoint[0]/i,n.endPoint[1]/r,n.endPoint[0]/i]];return uH.image.cropAndResize(t,a,[0],e)}vi.cutBoxFromImageAndResize=dH;function pH(n,t=1.5){const e=bp(n),r=wp(n),i=[t*r[0]/2,t*r[1]/2],a=[e[0]-i[0],e[1]-i[1]],s=[e[0]+i[0],e[1]+i[1]];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}vi.enlargeBox=pH;function fH(n){const t=bp(n),e=wp(n),r=Math.max(...e),i=r/2,a=[t[0]-i,t[1]-i],s=[t[0]+i,t[1]+i];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}vi.squarifyBox=fH}),tx=ve(Tn=>{Tn.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function J2(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}Tn.normalizeRadians=J2;function mH(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return J2(e)}Tn.computeRotation=mH;function gH(n){return n*180/Math.PI}Tn.radToDegrees=gH;function Z2(n,t){return[[1,0,n],[0,1,t],[0,0,1]]}function ha(n,t){let e=0;for(let r=0;r<n.length;r++)e+=n[r]*t[r];return e}Tn.dot=ha;function Q2(n,t){const e=[];for(let r=0;r<n.length;r++)e.push(n[r][t]);return e}Tn.getColumnFrom2DArr=Q2;function ex(n,t){const e=[],r=n.length;for(let i=0;i<r;i++){e.push([]);for(let a=0;a<r;a++)e[i].push(ha(n[i],Q2(t,a)))}return e}function yH(n,t){const e=Math.cos(n),r=Math.sin(n),i=[[e,-r,0],[r,e,0],[0,0,1]],a=Z2(t[0],t[1]),s=ex(a,i),o=Z2(-t[0],-t[1]);return ex(s,o)}Tn.buildRotationMatrix=yH;function vH(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],r=[-ha(t[0],e),-ha(t[1],e)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}Tn.invertTransformMatrix=vH;function wH(n,t){return[ha(n,t[0]),ha(n,t[1])]}Tn.rotatePoint=wH;function bH(n,t){return Math.sqrt((n[0]-t[0])**2+(n[1]-t[1])**2)}Tn.xyDistanceBetweenPoints=bH}),rx=ve(nx=>{const Or=Ut(),Mn=X2(),Er=vp(),Dr=tx(),xH=468,LH=.25,SH=13,IH=[SH,Er.MESH_ANNOTATIONS.midwayBetweenEyes[0]],AH=3,TH=2,NH=[AH,TH],xp=Er.MESH_ANNOTATIONS.leftEyeLower0,Lp=[xp[0],xp[xp.length-1]],Sp=Er.MESH_ANNOTATIONS.rightEyeLower0,Ip=[Sp[0],Sp[Sp.length-1]],_H=3,CH=4,RH=71,Ap=76;function sc(n,t,e,r){for(let i=0;i<Er.MESH_TO_IRIS_INDICES_MAP.length;i++){const{key:a,indices:s}=Er.MESH_TO_IRIS_INDICES_MAP[i],o=Er.MESH_ANNOTATIONS[`${e}${a}`],c=r==null;if(c||r.includes(a))for(let l=0;l<s.length;l++){const u=s[l];n[o[l]]=[t[u][0],t[u][1],(t[u][2]+n[o[l]][2])/2]}}}class OH{constructor(n,t,e,r){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.irisModel=e,this.meshWidth=r.mesh.inputSize,this.meshHeight=r.mesh.inputSize,this.irisSize=r.iris.inputSize,this.irisEnlarge=r.iris.enlargeFactor}transformRawCoords(n,t,e,r){const i=Mn.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),a=[i[0]/this.meshWidth,i[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=Dr.buildRotationMatrix(e,[0,0]),c=s.map(d=>[...Dr.rotatePoint(d,o),d[2]]),l=Dr.invertTransformMatrix(r),u=[...Mn.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[Dr.dot(u,l[0]),Dr.dot(u,l[1])];return c.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}getLeftToRightEyeDepthDifference(n){const t=n[Lp[0]][2],e=n[Ip[0]][2];return t-e}getEyeBox(n,t,e,r,i=!1){const a=Mn.squarifyBox(Mn.enlargeBox(this.calculateLandmarksBoundingBox([n[e],n[r]]),this.irisEnlarge)),s=Mn.getBoxSize(a);let o=Or.image.cropAndResize(t,[[a.startPoint[1]/this.meshHeight,a.startPoint[0]/this.meshWidth,a.endPoint[1]/this.meshHeight,a.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return i&&(o=Or.image.flipLeftRight(o)),{box:a,boxSize:s,crop:o}}getEyeCoords(n,t,e,r=!1){const i=[];for(let a=0;a<Ap;a++){const s=n[a*3],o=n[a*3+1],c=n[a*3+2];i.push([(r?1-s/this.irisSize:s/this.irisSize)*e[0]+t.startPoint[0],o/this.irisSize*e[1]+t.startPoint[1],c])}return{rawCoords:i,iris:i.slice(RH)}}getAdjustedIrisCoords(n,t,e){const r=n[Er.MESH_ANNOTATIONS[`${e}EyeUpper0`][_H]][2],i=n[Er.MESH_ANNOTATIONS[`${e}EyeLower0`][CH]][2],a=(r+i)/2;return t.map((s,o)=>{let c=a;return o===2?c=r:o===4&&(c=i),[s[0],s[1],c]})}async predict(n,t){this.runsWithoutFaceDetector+=1;let e=this.detectedFaces===0||this.detectedFaces!==this.regionsOfInterest.length,r;if((e||this.runsWithoutFaceDetector>t.detector.skipFrames)&&(r=await this.boundingBoxDetector.getBoundingBoxes(n)),t.detector.maxFaces>1&&r&&r.boxes&&r.boxes.length>0&&r.boxes.length!==this.detectedFaces&&(e=!0),e){if(!r||!r.boxes||r.boxes.length===0)return this.regionsOfInterest=[],this.detectedFaces=0,null;const a=r.boxes.map(s=>{const o=s.box.startPoint.squeeze(),c=s.box.endPoint.squeeze(),l={startPoint:o.arraySync(),endPoint:c.arraySync()};o.dispose(),c.dispose();const u=Mn.scaleBoxCoordinates(l,r.scaleFactor),h=Mn.enlargeBox(u),d=s.landmarks.arraySync();return{...h,landmarks:d}});this.updateRegionsOfInterest(a),this.runsWithoutFaceDetector=0}r&&r.boxes&&r.boxes.forEach(a=>{a.box.startPoint.dispose(),a.box.endPoint.dispose(),a.landmarks.dispose(),a.probability.dispose()});let i=Or.tidy(()=>this.regionsOfInterest.map((a,s)=>{let o=0;const c=a.landmarks.length>=xH;let[l,u]=IH;c===!1&&([l,u]=NH),o=Dr.computeRotation(a.landmarks[l],a.landmarks[u]);const h=Mn.getBoxCenter({startPoint:a.startPoint,endPoint:a.endPoint}),d=[h[0]/n.shape[2],h[1]/n.shape[1]];let p=n,f=Dr.IDENTITY_MATRIX;o!==0&&(p=Or.image.rotateWithOffset(n,o,0,d),f=Dr.buildRotationMatrix(-o,h));const m={startPoint:a.startPoint,endPoint:a.endPoint},g=Mn.cutBoxFromImageAndResize(m,p,[this.meshHeight,this.meshWidth]).div(255),[,y,w]=this.meshDetector.predict(g),b=y.dataSync()[0];if(y.dispose(),b<t.detector.minConfidence)return w.dispose(),null;const L=Or.reshape(w,[-1,3]);let x=L.arraySync();if(t.iris.enabled){const{box:O,boxSize:D,crop:F}=this.getEyeBox(x,g,Lp[0],Lp[1],!0),{box:k,boxSize:B,crop:V}=this.getEyeBox(x,g,Ip[0],Ip[1]),P=this.irisModel.predict(Or.concat([F,V])),G=P.dataSync();P.dispose();const j=G.slice(0,Ap*3),{rawCoords:q,iris:H}=this.getEyeCoords(j,O,D,!0),J=G.slice(Ap*3),{rawCoords:$,iris:ee}=this.getEyeCoords(J,k,B),te=this.getLeftToRightEyeDepthDifference(x);Math.abs(te)<30?(sc(x,q,"left"),sc(x,$,"right")):te<1?sc(x,q,"left",["EyeUpper0","EyeLower0"]):sc(x,$,"right",["EyeUpper0","EyeLower0"]);const ne=this.getAdjustedIrisCoords(x,H,"left"),re=this.getAdjustedIrisCoords(x,ee,"right");x=x.concat(ne).concat(re)}const N=this.transformRawCoords(x,a,o,f);Or.dispose(x);const I=Mn.enlargeBox(this.calculateLandmarksBoundingBox(N)),C={coords:null,box:I,confidence:b,image:g};if(t.mesh.enabled){const O=Or.tensor2d(N);this.regionsOfInterest[s]={...I,landmarks:O.arraySync()},C.coords=O}return C}));return i=i.filter(a=>a!==null),this.detectedFaces=i.length,i}updateRegionsOfInterest(n){for(let t=0;t<n.length;t++){const e=n[t],r=this.regionsOfInterest[t];let i=0;if(r&&r.startPoint){const[a,s]=e.startPoint,[o,c]=e.endPoint,[l,u]=r.startPoint,[h,d]=r.endPoint,p=Math.max(a,l),f=Math.max(s,u),m=Math.min(o,h),g=Math.min(c,d),y=(m-p)*(g-f),w=(o-a)*(c-s),b=(h-l)*(d-s);i=y/(w+b-y)}i<LH&&(this.regionsOfInterest[t]=e)}this.regionsOfInterest=this.regionsOfInterest.slice(0,n.length)}clearRegionOfInterest(n){this.regionsOfInterest[n]!=null&&(this.regionsOfInterest=[...this.regionsOfInterest.slice(0,n),...this.regionsOfInterest.slice(n+1)])}calculateLandmarksBoundingBox(n){const 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QV{constructor(n,t,e){this.boundingBoxDetector=n,this.meshDetector=t,this.inputSize=e,this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.skipFrames=0,this.detectedHands=0}getBoxForPalmLandmarks(n,t){const e=n.map(i=>{const a=[...i,1];return Wr.rotatePoint(a,t)}),r=this.calculateLandmarksBoundingBox(e);return Vn.enlargeBox(Vn.squarifyBox(Vn.shiftBox(r,KV)),jV)}getBoxForHandLandmarks(n){const t=this.calculateLandmarksBoundingBox(n),e=Vn.enlargeBox(Vn.squarifyBox(Vn.shiftBox(t,$V)),XV),r=[];for(let i=0;i<$x.length;i++)r.push(n[$x[i]].slice(0,2));return e.palmLandmarks=r,e}transformRawCoords(n,t,e,r){const i=Vn.getBoxSize(t),a=[i[0]/this.inputSize,i[1]/this.inputSize],s=n.map(d=>[a[0]*(d[0]-this.inputSize/2),a[1]*(d[1]-this.inputSize/2),d[2]]),o=Wr.buildRotationMatrix(e,[0,0]),c=s.map(d=>{const p=Wr.rotatePoint(d,o);return[...p,d[2]]}),l=Wr.invertTransformMatrix(r),u=[...Vn.getBoxCenter(t),1],h=[Wr.dot(u,l[0]),Wr.dot(u,l[1])];return c.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHands(n,t){this.skipFrames=t.skipFrames;let e=this.detectedHands===0||this.detectedHands!==this.regionsOfInterest.length,r;if((e||this.runsWithoutHandDetector>this.skipFrames)&&(r=await this.boundingBoxDetector.estimateHandBounds(n,t)),t.maxHands>1&&r&&r.length>0&&r.length!==this.detectedHands&&(e=!0),e){if(this.regionsOfInterest=[],!r||r.length===0)return this.detectedHands=0,null;for(const a of r)this.regionsOfInterest.push(a);this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const i=[];for(const a in this.regionsOfInterest){const s=this.regionsOfInterest[a];if(!s)continue;const o=Wr.computeRotation(s.palmLandmarks[JV],s.palmLandmarks[ZV]),c=Vn.getBoxCenter(s),l=[c[0]/n.shape[2],c[1]/n.shape[1]],u=jx.image.rotateWithOffset(n,o,0,l),h=Wr.buildRotationMatrix(-o,c),d=e?this.getBoxForPalmLandmarks(s.palmLandmarks,h):s,p=Vn.cutBoxFromImageAndResize(d,u,[this.inputSize,this.inputSize]),f=p.div(255);p.dispose(),u.dispose();const m=this.meshDetector.predict(f),[g,y]=m;f.dispose();const w=g.dataSync()[0];if(g.dispose(),w>=t.minConfidence){const b=jx.reshape(y,[-1,3]),L=b.arraySync();y.dispose(),b.dispose();const x=this.transformRawCoords(L,d,o,h),N=this.getBoxForHandLandmarks(x);this.updateRegionsOfInterest(N,a);const I={landmarks:x,handInViewConfidence:w,boundingBox:{topLeft:N.startPoint,bottomRight:N.endPoint}};i.push(I)}y.dispose()}return this.detectedHands=i.length,i}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),r=[Math.min(...t),Math.min(...e)],i=[Math.max(...t),Math.max(...e)];return{startPoint:r,endPoint:i}}updateRegionsOfInterest(n,t){const e=this.regionsOfInterest[t];let 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eG.HandDetector(t,n.inputSize,nG.anchors),i=new tG.HandPipeline(r,e,n.inputSize),a=new eL(i);return a}Zp.load=rG}),nL=ve(dc=>{dc.body=n=>{if(!n)return[];const t=[];for(const e of n){const r=e.keypoints.find(c=>c.part==="leftWrist"),i=e.keypoints.find(c=>c.part==="rightWrist"),a=e.keypoints.find(c=>c.part==="nose");a&&r&&i&&r.position.y<a.position.y&&i.position.y<a.position.y?t.push("i give up"):a&&r&&r.position.y<a.position.y?t.push("raise left hand"):a&&i&&i.position.y<a.position.y&&t.push("raise right hand");const s=e.keypoints.find(c=>c.part==="leftShoulder"),o=e.keypoints.find(c=>c.part==="rightShoulder");s&&o&&t.push(`leaning ${s.position.y>o.position.y?"left":"right"}`)}return t};dc.face=n=>{if(!n)return[];const t=[];for(const e of n)e.annotations.rightCheek&&e.annotations.leftCheek&&e.annotations.rightCheek.length>0&&e.annotations.leftCheek.length>0&&t.push(`facing ${e.annotations.rightCheek[0][2]>0||e.annotations.leftCheek[0][2]<0?"right":"left"}`);return t};dc.hand=n=>{if(!n)return[];const t=[];for(const e of n){const r=[];for(const[i,a]of Object.entries(e.annotations))i!=="palmBase"&&r.push({name:i.toLowerCase(),position:a[0]});if(r&&r.length>0){const i=r.reduce((s,o)=>s.position[2]<o.position[2]?s:o),a=r.reduce((s,o)=>s.position[1]<o.position[1]?s:o);t.push(`${i.name} forward ${a.name} up`)}}return t}}),iL=ve(rL=>{const iG=function(n,t,e){const r=function(o,c,l){const u=new RegExp("\\b"+c+" \\w+ (\\w+)","ig");o.replace(u,(h,d)=>(l[d]=0,h))},i=function(o,c){const l=n.createShader(c);if(n.shaderSource(l,o),n.compileShader(l),!n.getShaderParameter(l,n.COMPILE_STATUS))throw new Error("Filter: GL compile failed",n.getShaderInfoLog(l));return l};this.uniform={},this.attribute={};const a=i(t,n.VERTEX_SHADER),s=i(e,n.FRAGMENT_SHADER);if(this.id=n.createProgram(),n.attachShader(this.id,a),n.attachShader(this.id,s),n.linkProgram(this.id),!n.getProgramParameter(this.id,n.LINK_STATUS))throw new Error("Filter: GL link 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--unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src/*.js demo/*.js",dev:"npm install && node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation dev-server.js","build-iife":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js","build-esm-bundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js","build-esm-nobundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js","build-node":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js","build-node-nobundle":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --log-level=error --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit",changelog:"node changelog.js"},keywords:["tensorflowjs","face-detection","face-geometry","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"]}}),hL=ve(uG=>{ga(uG,{default:()=>uL});const Kt=Ut(),ef=lx(),Ls=hx(),Ss=dx(),Is=fx(),tf=zx(),nf=tL(),rf=nL(),hG=sL(),dG=fs(),pG=oL().default,fG=lL(),mG={face:{detector:{skipFrames:0},age:{skipFrames:0},gender:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},ut=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function pc(...n){const t=e=>e&&typeof e=="object";return n.reduce((e,r)=>(Object.keys(r||{}).forEach(i=>{const a=e[i],s=r[i];Array.isArray(a)&&Array.isArray(s)?e[i]=a.concat(...s):t(a)&&t(s)?e[i]=pc(a,s):e[i]=s}),e),{})}class uL{constructor(){this.tf=Kt,this.version=fG.version,this.config=pG,this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=ef,this.age=Ls,this.gender=Ss,this.emotion=Is,this.body=tf,this.hand=nf}log(...n){n&&this.config.console&&console.log("Human:",...n)}profile(){return this.config.profile?dG.data:{}}analyze(...n){if(!this.analyzeMemoryLeaks)return;const t=Kt.engine().state.numTensors,e=this.numTensors;this.numTensors=t;const r=t-e;r!==0&&this.log(...n,r)}sanity(n){if(!this.checkSanity)return null;if(!n)return"input is not defined";if(Kt.ENV.flags.IS_NODE&&!(n instanceof Kt.Tensor))return"input must be a tensor";try{Kt.getBackend()}catch(t){return"backend not loaded"}return null}async load(n){this.state="load";const t=ut();n&&(this.config=pc(this.config,n)),this.firstRun&&(this.checkBackend(!0),this.log(`version: ${this.version} TensorFlow/JS version: ${Kt.version_core}`),this.log("configuration:",this.config),this.log("flags:",Kt.ENV.flags),this.firstRun=!1),this.config.async?[this.models.age,this.models.gender,this.models.emotion,this.models.facemesh,this.models.posenet,this.models.handpose]=await Promise.all([this.models.age||Ls.load(this.config),this.models.gender||Ss.load(this.config),this.models.emotion||Is.load(this.config),this.models.facemesh||ef.load(this.config.face),this.models.posenet||tf.load(this.config.body),this.models.handpose||nf.load(this.config.hand)]):(this.config.face.enabled&&!this.models.facemesh&&(this.log("load model: face"),this.models.facemesh=await ef.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.log("load model: body"),this.models.posenet=await tf.load(this.config.body)),this.config.hand.enabled&&!this.models.handpose&&(this.log("load model: hand"),this.models.handpose=await nf.load(this.config.hand)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.log("load model: age"),this.models.age=await Ls.load(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.log("load model: gender"),this.models.gender=await Ss.load(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.log("load model: emotion"),this.models.emotion=await Is.load(this.config)));const e=Math.trunc(ut()-t);e>(this.perf.load||0)&&(this.perf.load=e)}async checkBackend(n){const t=ut();(n||Kt.getBackend()!==this.config.backend)&&(this.state="backend",this.log("setting backend:",this.config.backend),await Kt.setBackend(this.config.backend),Kt.enableProdMode(),this.config.deallocate&&this.config.backend==="webgl"&&(this.log("Changing WebGL: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),Kt.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),Kt.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),await Kt.ready());const e=Math.trunc(ut()-t);e>(this.perf.backend||0)&&(this.perf.backend=e)}async detectFace(n){let t,e,r,i;const a=[];this.state="run:face",t=ut();const s=await this.models.facemesh.estimateFaces(n,this.config.face);this.perf.face=Math.trunc(ut()-t);for(const o of s){if(this.analyze("Get Face"),!o.image||o.image.isDisposedInternal){this.log("Face object is disposed:",o.image);continue}this.analyze("Start Age:"),this.config.async?e=this.config.face.age.enabled?Ls.predict(o.image,this.config):{}:(this.state="run:age",t=ut(),e=this.config.face.age.enabled?await Ls.predict(o.image,this.config):{},this.perf.age=Math.trunc(ut()-t)),this.analyze("Start Gender:"),this.config.async?r=this.config.face.gender.enabled?Ss.predict(o.image,this.config):{}:(this.state="run:gender",t=ut(),r=this.config.face.gender.enabled?await Ss.predict(o.image,this.config):{},this.perf.gender=Math.trunc(ut()-t)),this.analyze("Start Emotion:"),this.config.async?i=this.config.face.emotion.enabled?Is.predict(o.image,this.config):{}:(this.state="run:emotion",t=ut(),i=this.config.face.emotion.enabled?await Is.predict(o.image,this.config):{},this.perf.emotion=Math.trunc(ut()-t)),this.analyze("End Emotion:"),this.config.async&&([e,r,i]=await Promise.all([e,r,i])),this.analyze("Finish Face:"),o.image.dispose();const c=o.annotations.leftEyeIris&&o.annotations.rightEyeIris?Math.max(o.annotations.leftEyeIris[3][0]-o.annotations.leftEyeIris[1][0],o.annotations.rightEyeIris[3][0]-o.annotations.rightEyeIris[1][0]):0;a.push({confidence:o.confidence,box:o.box,mesh:o.mesh,annotations:o.annotations,age:e.age,gender:r.gender,genderConfidence:r.confidence,emotion:i,iris:c!==0?Math.trunc(100*11.7/c)/100:0}),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),a}async detect(n,t={}){this.state="config";let e;this.config=pc(this.config,t),this.config.videoOptimized||(this.config=pc(this.config,mG)),this.state="check";const r=this.sanity(n);return r?(this.log(r,n),{error:r}):new Promise(async i=>{let a,s,o;const c=ut();await this.checkBackend(),await this.load(),this.config.scoped&&Kt.engine().startScope(),this.analyze("Start Scope:"),e=ut();const l=hG.process(n,this.config);this.perf.image=Math.trunc(ut()-e),this.analyze("Get Image:"),this.config.async?(o=this.config.face.enabled?this.detectFace(l.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",e=ut(),o=this.config.face.enabled?await this.detectFace(l.tensor):[],this.perf.face=Math.trunc(ut()-e)),this.analyze("Start Body:"),this.config.async?(a=this.config.body.enabled?this.models.posenet.estimatePoses(l.tensor,this.config.body):[],this.perf.body&&delete this.perf.body):(this.state="run:body",e=ut(),a=this.config.body.enabled?await this.models.posenet.estimatePoses(l.tensor,this.config.body):[],this.perf.body=Math.trunc(ut()-e)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(s=this.config.hand.enabled?this.models.handpose.estimateHands(l.tensor,this.config.hand):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",e=ut(),s=this.config.hand.enabled?await this.models.handpose.estimateHands(l.tensor,this.config.hand):[],this.perf.hand=Math.trunc(ut()-e)),this.config.async&&([o,a,s]=await Promise.all([o,a,s])),l.tensor.dispose(),this.config.scoped&&Kt.engine().endScope(),this.analyze("End Scope:");let u=[];this.config.gesture.enabled&&(e=ut(),u={body:rf.body(a),hand:rf.hand(s),face:rf.face(o)},this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(ut()-e)),this.perf.total=Math.trunc(ut()-c),this.state="idle",i({face:o,body:a,hand:s,gesture:u,performance:this.perf,canvas:l.canvas})})}}});return hL();})();
/*! *****************************************************************************
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0
THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the License);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/** @license See the LICENSE file. */
//# sourceMappingURL=human.js.map